From 5069de276787afbba4668a3999cf65bf653440e2 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 22:14:31 +0000 Subject: [PATCH 001/123] Read the holdout of the published model, not the last-evaluated one fit() read test_df.parquet from best_trainer.log_dir, which is whichever refit stage ran last, not necessarily the model the bundle publishes. With refit_full the published model has seen the test split, so its holdout is meaningless. Read the holdout from the published model's log dir (Trainer.published_fit_mode, also used to pick the prediction model) and return none for refit_full. get_log_dir takes an optional fit_mode override. Verified: test_holdout_df (fit / refit_trainval with explain / refit_full), test_training_explanations, test_semantic_carry_forward: 35 passed. Co-Authored-By: Claude Opus 5.5 --- .../kumo-core/src/kumo_core/train/trainer.py | 33 +++++++++++-------- .../kumo/engine/trainer/trainer.py | 28 +++++++++++----- packages/kumo-engine/test/test_holdout_df.py | 28 ++++++++++++++-- .../test/test_semantic_carry_forward.py | 15 ++++++--- .../test/test_training_explanations.py | 3 +- 5 files changed, 77 insertions(+), 30 deletions(-) diff --git a/packages/kumo-core/src/kumo_core/train/trainer.py b/packages/kumo-core/src/kumo_core/train/trainer.py index cc129a815..458a6536f 100644 --- a/packages/kumo-core/src/kumo_core/train/trainer.py +++ b/packages/kumo-core/src/kumo_core/train/trainer.py @@ -1500,6 +1500,7 @@ def get_log_dir( self, local: bool = False, original: bool = False, + fit_mode: FitMode | None = None, ) -> str: r"""Switch the log directory based on `self.fit_mode`. `version_xx/`: fit mode. @@ -1509,16 +1510,17 @@ def get_log_dir( If `original=True`, then we get the original (non-refitting) log directory. This way, we can update `config.json` in the original - directory""" + directory. `fit_mode` overrides `self.fit_mode`.""" + fit_mode = self.fit_mode if fit_mode is None else fit_mode path = self.root_dir if not local else self.local_root_dir # In case the `root_dir` contains a trainer config, it is a log dir # for a previous model version. if fsutil.exists(osp.join(path, 'config.json')): - if not original and self.fit_mode.is_refit: + if not original and fit_mode.is_refit: if path[-1] == '/': path = path[:-1] - path = f"{path}_{self.fit_mode.value}" + path = f"{path}_{fit_mode.value}" fsutil.makedirs(path, exist_ok=True) return path else: @@ -1528,10 +1530,10 @@ def get_log_dir( path = osp.join(path, self.name) if self.track_version: path = osp.join(path, self.version_dir_name) - if not original and self.fit_mode.is_refit: + if not original and fit_mode.is_refit: if path[-1] == '/': path = path[:-1] - path = f"{path}_{self.fit_mode.value}" + path = f"{path}_{fit_mode.value}" fsutil.makedirs(path, exist_ok=True) return path @@ -2507,16 +2509,21 @@ def _preprocess_top_k(self, top_k: int | None): # Batch prediction ######################################################## + def published_fit_mode(self) -> FitMode | None: + r"""The fit mode predictions use by default: the model trained on the + most data, or `None` before fitting.""" + if self.refit_cfg.refitted_full: + return FitMode.refit_full + if self.refit_cfg.refitted_trainval: + return FitMode.refit_trainval + if self.refit_cfg.fitted: + return FitMode.fit + return None + def _set_fit_mode_to_use(self, fit_mode_to_use: FitMode | None = None): - # Infer `fit_mode_to_use` - Use model that's trained on most data: if fit_mode_to_use is None: - if self.refit_cfg.refitted_full: - fit_mode_to_use = FitMode.refit_full - elif self.refit_cfg.refitted_trainval: - fit_mode_to_use = FitMode.refit_trainval - elif self.refit_cfg.fitted: - fit_mode_to_use = FitMode.fit - else: + fit_mode_to_use = self.published_fit_mode() + if fit_mode_to_use is None: raise RuntimeError("Trainer is not fitted yet.") else: self._check_readiness_for_prediction(fit_mode_to_use) diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index e44504897..86f3e6a69 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -11,7 +11,7 @@ from dataclasses import dataclass, replace from datetime import datetime, timezone from pathlib import Path -from typing import Dict, Mapping, Optional, cast +from typing import Any, Dict, Mapping, Optional, cast import pandas as pd from kumo_core.embedding_models import EmbeddingModelStore @@ -66,11 +66,12 @@ class TrainingResult: `published_model` records the destination's assigned name, version and URI when `fit()` exports the bundle. It is `None` without an export. - `holdout_path` is the holdout Parquet file written by `fit()`, or `None` - when the task produced none (also for results of `Trainer.load`). It is - not part of the published model bundle. The file is capped at 1 GiB in - memory; `holdout_truncated` is true when rows were dropped to fit, and - `None` when the size record could not be read. + `holdout_path` is the published model's holdout Parquet file written by + `fit()`, or `None` when it has none (no holdout task, a model refit on the + full data, or results of `Trainer.load`). It is not part of the published + model bundle. The file is capped at 1 GiB in memory; `holdout_truncated` is + true when rows were dropped to fit, and `None` when the size record could + not be read. """ metrics: Dict[str, float] @@ -176,6 +177,17 @@ def _find_holdout(log_dir: str) -> tuple[Optional[Path], Optional[bool]]: return path, truncated +def _published_holdout(trainer: Any) -> tuple[Optional[Path], Optional[bool]]: + from kumo_core.training.config import FitMode + + published = trainer.published_fit_mode() + if published is FitMode.refit_full: + logger.info('The published model is refit on the full data, including ' + 'the test split, so it has no holdout predictions.') + return None, False + return _find_holdout(trainer.get_log_dir(fit_mode=published)) + + def _collect_garbage(stage: str) -> None: # Lightning links each trainer to its data module and model in reference # cycles; free a finished run now rather than at a later collection. @@ -445,8 +457,8 @@ def fit( 'failed for run %s. The trained model remains available.', run_id) - holdout_path, holdout_truncated = _find_holdout( - result.best_trainer.log_dir) + holdout_path, holdout_truncated = _published_holdout( + result.best_trainer) training_result = TrainingResult( metrics=dict(result.metrics), artifact_paths=dict(result.artifact_paths), diff --git a/packages/kumo-engine/test/test_holdout_df.py b/packages/kumo-engine/test/test_holdout_df.py index 8c03af648..70bfe82c6 100644 --- a/packages/kumo-engine/test/test_holdout_df.py +++ b/packages/kumo-engine/test/test_holdout_df.py @@ -2,6 +2,8 @@ # All rights reserved. # SPDX-License-Identifier: Apache-2.0 +import re + import numpy as np import pandas as pd import pytest @@ -65,13 +67,16 @@ def graph(tmp_path_factory): QUERY = 'PREDICT COUNT(events.*, 0, 7, days) > 0 FOR EACH ents.ID' -def _fit(graph, query): +def _fit(graph, query, refit_trainval=True, refit_full=False, explain=False): graph, snapshot = graph pquery = kumo.PredictiveQuery(graph=graph, query=query) plan = ModelPlan() - plan.training_job.disable_explain = True + plan.training_job.disable_explain = not explain + plan.training_job.refit_trainval = refit_trainval + plan.training_job.refit_full = refit_full plan.optimization.max_epochs = 1 - plan.optimization.max_steps_per_epoch = 2 + # refit_full splits each epoch's batches across 3 stages. + plan.optimization.max_steps_per_epoch = 3 if refit_full else 2 trainer = kumo.Trainer(model_plan=plan) return trainer.fit(pquery.generate_training_table(snapshot), snapshot=snapshot) @@ -90,6 +95,23 @@ def test_holdout_df_after_fit(graph): assert not (result.bundle_dir / 'test_df.parquet').exists() +@pytest.mark.parametrize('refit_trainval,refit_full,explain,suffix', [ + (False, False, False, ''), + (True, False, True, '_refit_trainval'), + (True, True, False, None), +]) +def test_holdout_is_the_published_models(graph, refit_trainval, refit_full, + explain, suffix): + result = _fit(graph, QUERY, refit_trainval, refit_full, explain) + + if suffix is None: + assert result.holdout_path is None + else: + assert re.fullmatch(rf'version_\d+{suffix}', + result.holdout_path.parent.name) + assert len(result.holdout_df()) > 0 + + def test_no_holdout(graph): result = _fit( graph, 'PREDICT LIST_DISTINCT(events.ITEM_ID, 0, 7, days) ' diff --git a/packages/kumo-engine/test/test_semantic_carry_forward.py b/packages/kumo-engine/test/test_semantic_carry_forward.py index 15a4e2330..a1533b131 100644 --- a/packages/kumo-engine/test/test_semantic_carry_forward.py +++ b/packages/kumo-engine/test/test_semantic_carry_forward.py @@ -44,6 +44,11 @@ def _stub_generated_task_dataset_builder(monkeypatch): ) +def _best_trainer(log_dir): + return SimpleNamespace(get_log_dir=lambda fit_mode: str(log_dir), + published_fit_mode=lambda: None) + + def _write_prediction_shard(options, frame): from pathlib import Path @@ -406,7 +411,7 @@ def fake_materialize(request, task_dataset, generated, **kwargs): metrics={}, artifact_paths={}, explain_disabled=True, - best_trainer=SimpleNamespace(log_dir=str(tmp_path)), + best_trainer=_best_trainer(tmp_path), )) monkeypatch.setattr('kumo.engine.trainer.trainer.write_training_spec', lambda *args, **kwargs: None) @@ -536,7 +541,7 @@ def fake_materialize(request, task_dataset, generated, **kwargs): metrics={}, artifact_paths={}, explain_disabled=True, - best_trainer=SimpleNamespace(log_dir=str(tmp_path)), + best_trainer=_best_trainer(tmp_path), )) monkeypatch.setattr('kumo.engine.trainer.trainer.write_training_spec', lambda *args, **kwargs: None) @@ -612,7 +617,7 @@ def fake_materialize(request, task_dataset, generated, **kwargs): metrics={}, artifact_paths={}, explain_disabled=True, - best_trainer=SimpleNamespace(log_dir=str(tmp_path)), + best_trainer=_best_trainer(tmp_path), )) monkeypatch.setattr('kumo.engine.trainer.trainer.write_training_spec', lambda *args, **kwargs: None) @@ -791,7 +796,7 @@ def fake_materialize(request, task_dataset, generated, **kwargs): metrics={}, artifact_paths={}, explain_disabled=True, - best_trainer=SimpleNamespace(log_dir=str(tmp_path)), + best_trainer=_best_trainer(tmp_path), )) monkeypatch.setattr('kumo.engine.trainer.trainer.write_training_spec', lambda *args, **kwargs: None) @@ -872,7 +877,7 @@ def fake_train(training_input, **kwargs): return SimpleNamespace( metrics={'run_name': run_name}, artifact_paths={}, explain_disabled=True, - best_trainer=SimpleNamespace(log_dir=str(tmp_path))) + best_trainer=_best_trainer(tmp_path)) monkeypatch.setattr( 'kumo.engine.trainer.trainer.build_generated_training_task_dataset', diff --git a/packages/kumo-engine/test/test_training_explanations.py b/packages/kumo-engine/test/test_training_explanations.py index 240c070cf..350c54444 100644 --- a/packages/kumo-engine/test/test_training_explanations.py +++ b/packages/kumo-engine/test/test_training_explanations.py @@ -49,7 +49,8 @@ def explain(**kwargs): best_trainer = SimpleNamespace( explain=Mock(side_effect=explain), subgraph_collector_dir=lambda: str(tmp_path / 'subgraph_collector'), - log_dir=str(tmp_path), + get_log_dir=lambda fit_mode: str(tmp_path), + published_fit_mode=lambda: None, ) def aggregate_features(*args): From ce86b4605b6e94d8976e58cdce56b358de130843 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Thu, 22 Oct 2026 00:34:55 +0000 Subject: [PATCH 002/123] Expose published_fit_mode on the artifact test's fake trainer test_artifacts.py's fake trainer borrows Trainer methods; select_fit_mode now calls published_fit_mode, so the fake needs it too. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-core/tests/test_artifacts.py | 1 + 1 file changed, 1 insertion(+) diff --git a/packages/kumo-core/tests/test_artifacts.py b/packages/kumo-core/tests/test_artifacts.py index 35c2cef65..071f4339b 100644 --- a/packages/kumo-core/tests/test_artifacts.py +++ b/packages/kumo-core/tests/test_artifacts.py @@ -199,6 +199,7 @@ def test_vital_source_resolution_is_core_owned(tmp_path: Path, refit) -> None: class SourceTrainer(SimpleNamespace): _set_fit_mode_to_use = Trainer._set_fit_mode_to_use + published_fit_mode = Trainer.published_fit_mode @property def best_ckpt(self): From c1586bd480f2cb52e7b35dc14553b2d304c4e2dd Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Tue, 20 Oct 2026 20:06:33 +0000 Subject: [PATCH 003/123] Record a snapshot manifest next to every graph index A snapshot's id says which graph and data version it is, but nothing on disk records which engine build wrote the index, which DiskGraph on-disk formats it uses, when, from which per-table source versions, or how many rows and edges it holds. DiskGraph gains format_versions(), exposing its existing on-disk format constants (shard layout, shard commit, temp meta, ingest report, _MANIFEST.json schema). Graph.snapshot() writes snapshot-manifest.json into the index directory under the snapshot lock: ids, source table coordinates and version stamps, row/edge counts from ingest_stats.json, the DiskGraph formats, engine version and build commit, and the scheduler job identity (explicit KUMO_* env first, then SageMaker, Snowflake and Databricks detection). Reusing an older build backfills a reconstructed manifest. Writing is best-effort: any failure warns and snapshot() returns as before; reuse and ingest behaviour are unchanged. GraphSnapshot.manifest reads it; kumo.engine.diff_manifests compares two manifests by dotted key. The atomic metadata writer moves from the trainer spec module to the shared manifest module. Verified with new snapshot-manifest tests (fresh write, reuse of a pre-manifest index without re-ingest, write failure, diff after appending rows, scheduler detection, unreadable/newer manifests), a format_versions pybind test, and the existing snapshot, file-graph, custom-SQL, bundle and registry suites. Co-Authored-By: Claude Opus 5.5 --- .../diskgraph/diskgraph-index/src/graph.rs | 4 +- .../python/diskgraph/__init__.py | 2 + .../python/tests/test_format_versions.py | 15 ++ .../diskgraph/diskgraph-pybind/src/lib.rs | 13 + packages/kumo-engine/kumo/engine/__init__.py | 2 + packages/kumo-engine/kumo/engine/_manifest.py | 103 ++++++++ .../kumo-engine/kumo/engine/_provenance.py | 99 ++++++++ packages/kumo-engine/kumo/engine/graph.py | 67 ++++- .../kumo-engine/kumo/engine/trainer/_spec.py | 32 +-- .../kumo-engine/test/test_snapshot_cleanup.py | 1 + .../test/test_snapshot_manifest.py | 239 ++++++++++++++++++ .../test/test_snapshot_staging_cleanup.py | 5 +- .../kumo-engine/test/test_trainer_registry.py | 6 +- 13 files changed, 551 insertions(+), 37 deletions(-) create mode 100644 packages/diskgraph/diskgraph-pybind/python/tests/test_format_versions.py create mode 100644 packages/kumo-engine/kumo/engine/_manifest.py create mode 100644 packages/kumo-engine/kumo/engine/_provenance.py create mode 100644 packages/kumo-engine/test/test_snapshot_manifest.py diff --git a/packages/diskgraph/diskgraph-index/src/graph.rs b/packages/diskgraph/diskgraph-index/src/graph.rs index 0fcb6c2cc..b75d64a4f 100644 --- a/packages/diskgraph/diskgraph-index/src/graph.rs +++ b/packages/diskgraph/diskgraph-index/src/graph.rs @@ -27,9 +27,9 @@ use std::path::{Path, PathBuf}; use std::sync::Arc; const TEMP_META_MAGIC: [u8; 4] = *b"DGTP"; -const TEMP_META_VERSION: u8 = 2; +pub const TEMP_META_VERSION: u8 = 2; pub const INDEX_SHARD_COMMIT_DIR: &str = "_tmp/index_commits"; -const INDEX_SHARD_COMMIT_VERSION: u32 = 1; +pub const INDEX_SHARD_COMMIT_VERSION: u32 = 1; #[derive(Debug, Deserialize, Serialize)] struct IndexShardCommit { diff --git a/packages/diskgraph/diskgraph-pybind/python/diskgraph/__init__.py b/packages/diskgraph/diskgraph-pybind/python/diskgraph/__init__.py index d157a5b0c..5e2fbc51e 100644 --- a/packages/diskgraph/diskgraph-pybind/python/diskgraph/__init__.py +++ b/packages/diskgraph/diskgraph-pybind/python/diskgraph/__init__.py @@ -40,6 +40,7 @@ verify_snapshot_integrity, has_resumable_ingest, validated_index_resume_progress, + format_versions, compute_col_stats_for_parquet, resolve_temporal, detect_multicat_delimiter, @@ -141,6 +142,7 @@ def __getattr__(name): "verify_snapshot_integrity", "has_resumable_ingest", "validated_index_resume_progress", + "format_versions", "compute_col_stats_for_parquet", "DiskGraphPlanCompiler", "SplitSpec", diff --git a/packages/diskgraph/diskgraph-pybind/python/tests/test_format_versions.py b/packages/diskgraph/diskgraph-pybind/python/tests/test_format_versions.py new file mode 100644 index 000000000..5863b1889 --- /dev/null +++ b/packages/diskgraph/diskgraph-pybind/python/tests/test_format_versions.py @@ -0,0 +1,15 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. +# All rights reserved. +# SPDX-License-Identifier: Apache-2.0 + +import diskgraph + + +def test_format_versions_names_every_on_disk_format(): + assert diskgraph.format_versions() == { + "layout": 4, + "shard_commit": 1, + "temp_meta": 2, + "ingest_report": 2, + "manifest_schema": 1, + } diff --git a/packages/diskgraph/diskgraph-pybind/src/lib.rs b/packages/diskgraph/diskgraph-pybind/src/lib.rs index c907055d1..86d304dca 100644 --- a/packages/diskgraph/diskgraph-pybind/src/lib.rs +++ b/packages/diskgraph/diskgraph-pybind/src/lib.rs @@ -1567,6 +1567,18 @@ fn validated_index_resume_progress(output_dir: &str) -> PyResult std::collections::BTreeMap<&'static str, u32> { + std::collections::BTreeMap::from([ + ("layout", diskgraph_index::layout::LAYOUT_VERSION), + ("shard_commit", diskgraph_index::graph::INDEX_SHARD_COMMIT_VERSION), + ("temp_meta", u32::from(diskgraph_index::graph::TEMP_META_VERSION)), + ("ingest_report", diskgraph_ingest::stats::INGEST_REPORT_VERSION), + ("manifest_schema", diskgraph_ingest::snapshot_mirror::MANIFEST_SCHEMA_VERSION), + ]) +} + #[pymodule] #[pyo3(name = "_c")] fn diskgraph_pybind(m: &Bound<'_, PyModule>) -> PyResult<()> { @@ -1608,6 +1620,7 @@ fn diskgraph_pybind(m: &Bound<'_, PyModule>) -> PyResult<()> { m.add_function(wrap_pyfunction!(verify_snapshot_integrity, m)?)?; m.add_function(wrap_pyfunction!(has_resumable_ingest, m)?)?; m.add_function(wrap_pyfunction!(validated_index_resume_progress, m)?)?; + m.add_function(wrap_pyfunction!(format_versions, m)?)?; m.add_function(wrap_pyfunction!(compute_col_stats_for_parquet, m)?)?; m.add_function(wrap_pyfunction!(col_stats_export::read_col_stats, m)?)?; m.add_function(wrap_pyfunction!(col_stats_export::read_edge_stats, m)?)?; diff --git a/packages/kumo-engine/kumo/engine/__init__.py b/packages/kumo-engine/kumo/engine/__init__.py index fe68f71be..6f292564a 100644 --- a/packages/kumo-engine/kumo/engine/__init__.py +++ b/packages/kumo-engine/kumo/engine/__init__.py @@ -25,6 +25,7 @@ from kumoapi.plugin import ModelRegistryLocation from kumoapi.table import Column +from kumo.engine._manifest import diff_manifests from kumo.engine._version import __version__ from kumo.engine.config import configure from kumo.engine.connector import ( @@ -59,6 +60,7 @@ __all__ = [ "__version__", "configure", + "diff_manifests", "EmbeddingModelStore", "GloVeVectors", "TokenEmbeddingModel", diff --git a/packages/kumo-engine/kumo/engine/_manifest.py b/packages/kumo-engine/kumo/engine/_manifest.py new file mode 100644 index 000000000..3123d667b --- /dev/null +++ b/packages/kumo-engine/kumo/engine/_manifest.py @@ -0,0 +1,103 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. +# All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +"""Shared JSON manifest format for engine artifacts.""" + +import json +import os +import tempfile +import warnings +from datetime import datetime, timezone +from pathlib import Path +from typing import Any, Dict, Mapping, Optional, Tuple + +SCHEMA_VERSION = 1 + + +def atomic_write(path: Path, payload: bytes) -> None: + """Replace one metadata file without exposing partial JSON.""" + temporary = None + try: + with tempfile.NamedTemporaryFile(dir=path.parent, + prefix=f'.{path.name}.', + delete=False) as out: + temporary = Path(out.name) + out.write(payload) + out.flush() + os.fsync(out.fileno()) + os.replace(temporary, path) + temporary = None + if hasattr(os, 'O_DIRECTORY'): + descriptor = os.open(path.parent, os.O_RDONLY | os.O_DIRECTORY) + try: + os.fsync(descriptor) + finally: + os.close(descriptor) + finally: + if temporary is not None: + temporary.unlink(missing_ok=True) + + +def new_manifest(kind: str, id: str, parents: Mapping[str, Any], + **fields: Any) -> Dict[str, Any]: + from kumo.engine._provenance import environment, scheduler_context + + return { + 'kind': kind, + 'schema_version': SCHEMA_VERSION, + 'id': id, + 'parents': dict(parents), + 'created_at': datetime.now(timezone.utc).isoformat(timespec='seconds'), + 'environment': environment(), + 'scheduler': scheduler_context(), + **fields, + } + + +def write_manifest(path: Path, manifest: Mapping[str, Any]) -> None: + atomic_write(path, (json.dumps(manifest, indent=2, sort_keys=True) + + '\n').encode('utf-8')) + + +def read_manifest(path: Path) -> Optional[Dict[str, Any]]: + try: + manifest = json.loads(path.read_text(encoding='utf-8')) + except FileNotFoundError: + return None + except (OSError, ValueError) as error: + warnings.warn(f"Ignoring unreadable manifest {path}: {error}", + UserWarning, stacklevel=3) + return None + version = (manifest.get('schema_version') + if isinstance(manifest, dict) else None) + if not isinstance(version, int) or version > SCHEMA_VERSION: + warnings.warn( + f"Ignoring {path}: manifest schema_version {version!r} is not " + f"supported by this kumo-engine (up to {SCHEMA_VERSION}).", + UserWarning, + stacklevel=3, + ) + return None + return manifest + + +def _flatten(value: Mapping[str, Any], prefix: str = '') -> Dict[str, Any]: + flat: Dict[str, Any] = {} + for key, item in value.items(): + name = f'{prefix}{key}' + if isinstance(item, Mapping) and item: + flat.update(_flatten(item, f'{name}.')) + else: + flat[name] = item + return flat + + +def diff_manifests(a: Mapping[str, Any], + b: Mapping[str, Any]) -> Dict[str, Tuple[Any, Any]]: + """Return ``{dotted_key: (a_value, b_value)}`` for every differing key.""" + left, right = _flatten(a), _flatten(b) + return { + key: (left.get(key), right.get(key)) + for key in sorted(left.keys() | right.keys()) + if key not in left or key not in right or left[key] != right[key] + } diff --git a/packages/kumo-engine/kumo/engine/_provenance.py b/packages/kumo-engine/kumo/engine/_provenance.py new file mode 100644 index 000000000..b6c78d701 --- /dev/null +++ b/packages/kumo-engine/kumo/engine/_provenance.py @@ -0,0 +1,99 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. +# All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +"""Runtime versions and scheduler job identity recorded in manifests.""" + +import json +import os +import platform +import re +import subprocess +from functools import cache +from importlib import metadata +from pathlib import Path +from typing import Any, Dict, Optional + +PROCESSING_JOB_CONFIG = Path('/opt/ml/config/processingjobconfig.json') + + +def _version(distribution: str) -> Optional[str]: + try: + return metadata.version(distribution) + except metadata.PackageNotFoundError: + return None + + +@cache +def _build_commit(version: str) -> Optional[str]: + if '+' in version: + return version.split('+', 1)[1] + root = Path(__file__).resolve().parents[2] + if root.name in ('site-packages', 'dist-packages'): + return None + command = ['git', '-C', str(root), 'rev-parse', '--short', 'HEAD'] + try: + return subprocess.run(command, capture_output=True, text=True, + check=True, timeout=10).stdout.strip() or None + except (OSError, subprocess.SubprocessError): + return None + + +def environment() -> Dict[str, Optional[str]]: + from kumo.engine._version import __version__ + + return { + 'kumo_engine': __version__, + 'build_commit': _build_commit(__version__), + 'kumo_core': _version('kumo-core'), + 'torch': _version('torch'), + 'python': platform.python_version(), + } + + +def _context(platform_name: str, job_id: Optional[str], + job_run_id: Optional[str], source: str) -> Dict[str, Any]: + return { + 'platform': platform_name, + 'job_id': job_id, + 'job_run_id': job_run_id, + 'source': source, + } + + +def _processing_job() -> Optional[Dict[str, Any]]: + try: + config = json.loads(PROCESSING_JOB_CONFIG.read_text()) + except (OSError, ValueError): + return None + return config if isinstance(config, dict) else None + + +def _detect() -> Optional[Dict[str, Any]]: + env = os.environ + if env.get('TRAINING_JOB_NAME'): + return _context('sagemaker', env['TRAINING_JOB_NAME'], + env.get('TRAINING_JOB_ARN'), 'auto') + processing = _processing_job() + if processing is not None and processing.get('ProcessingJobName'): + return _context('sagemaker', processing['ProcessingJobName'], + processing.get('ProcessingJobArn'), 'auto') + service = env.get('SNOWFLAKE_SERVICE_NAME') + if service: + return _context('snowflake', re.sub(r'_[A-Za-z0-9]{8}$', '', service), + service, 'auto') + if env.get('DATABRICKS_RUNTIME_VERSION'): + return _context('databricks', None, None, 'auto') + return None + + +def scheduler_context() -> Optional[Dict[str, Any]]: + env = os.environ + scheduler = env.get('KUMO_SCHEDULER') + job_id = env.get('KUMO_JOB_ID') + job_run_id = env.get('KUMO_JOB_RUN_ID') + detected = _detect() + if scheduler or job_id or job_run_id: + if not scheduler: + scheduler = detected['platform'] if detected else 'other' + return _context(scheduler, job_id, job_run_id, 'env') + return detected diff --git a/packages/kumo-engine/kumo/engine/graph.py b/packages/kumo-engine/kumo/engine/graph.py index 53ebcd199..f3039e032 100644 --- a/packages/kumo-engine/kumo/engine/graph.py +++ b/packages/kumo-engine/kumo/engine/graph.py @@ -60,6 +60,7 @@ remote/durable cache, e.g. a Snowflake stage) -- out of scope for now. """ +import hashlib import json import warnings from dataclasses import dataclass, field @@ -70,6 +71,7 @@ from kumo_core.pquery import NativeGraph, normalize_graph from kumoapi.graph import Edge +from kumo.engine._manifest import new_manifest, read_manifest, write_manifest from kumo.engine._scratch import ( fingerprint, get_scratch_dir, @@ -78,6 +80,8 @@ from kumo.engine._storage import network_storage from kumo.engine.table import Table +SNAPSHOT_MANIFEST_FILE = 'snapshot-manifest.json' + _warned_scratch: set[Path] = set() @@ -216,6 +220,51 @@ class GraphSnapshot: index_path: Path graph_config: Dict[str, Any] + @property + def manifest(self) -> Dict[str, Any] | None: + """The snapshot manifest stored next to the index, if any.""" + return read_manifest(Path(self.index_path) / SNAPSHOT_MANIFEST_FILE) + + +def _write_snapshot_manifest(index_path: Path, snapshot_id: str, + graph_key: str, data_version: str, + source_tables: Dict[str, Dict[str, str]], *, + fresh: bool) -> None: + path = index_path / SNAPSHOT_MANIFEST_FILE + if not fresh and path.exists(): + return + try: + from diskgraph import format_versions + + stats = json.loads( + (index_path / 'ingest_stats.json').read_text()).get('stats', {}) + rows = stats.get('source_rows_by_table', {}) + fields = { + 'graph_id': graph_key, + 'data_version': data_version, + 'formats': format_versions(), + 'tables': { + alias: { + 'rows': rows.get(alias) + } + for alias in source_tables + }, + 'edges': dict(stats.get('edge_counts', {})), + } + if not fresh: + fields.update(created_at=None, environment=None, scheduler=None, + formats=None, reconstructed=True) + write_manifest( + path, + new_manifest('graph_snapshot', snapshot_id, + {'source_tables': source_tables}, **fields)) + except Exception as error: + warnings.warn( + f"Could not write the snapshot manifest at {path}: {error}", + UserWarning, + stacklevel=4, + ) + @dataclass(frozen=True) class Graph: @@ -419,6 +468,7 @@ def _snapshot_no_lock(self, graph_key: str, persist_dir: Path) \ table_data_versions: Dict[str, str] = {} source_paths: Dict[str, str] = {} + source_tables: Dict[str, Dict[str, str]] = {} try: for alias, table in self._named_tables.items(): @@ -430,10 +480,13 @@ def _snapshot_no_lock(self, graph_key: str, persist_dir: Path) \ dest_dir.mkdir(parents=True, exist_ok=True) name, sql = table.table_name, None + coordinate = name source = table.definition.source_table if isinstance(source, CustomSQLSourceTable): checked = checked_sql(connector, source.sql) name, sql = checked.table, checked.sql + coordinate = ('sql:' + + hashlib.sha256(sql.encode()).hexdigest()[:16]) prepared = source_backend.prepare_ingest( connector, name, @@ -452,6 +505,10 @@ def _snapshot_no_lock(self, graph_key: str, persist_dir: Path) \ "limitation in kumoai/backend/local/graph.py's " "_stage_sources, which raises the same way.") table_data_versions[alias] = prepared.version + source_tables[alias] = { + 'source': f'{connector.source_type}:{coordinate}', + 'version': prepared.version, + } paths = prepared.source.get('paths') or [] if paths: @@ -500,10 +557,16 @@ def _snapshot_no_lock(self, graph_key: str, persist_dir: Path) \ ), ) + snapshot_id = f'{graph_key}@{data_version[:16]}' + index_path = Path(result.index_path) + _write_snapshot_manifest(index_path, snapshot_id, graph_key, + data_version, source_tables, + fresh=existing is None) + _warn_ingest_data_loss(result, graph_config) return GraphSnapshot( - id=f'{graph_key}@{data_version[:16]}', - index_path=Path(result.index_path), + id=snapshot_id, + index_path=index_path, graph_config=graph_config, ) finally: diff --git a/packages/kumo-engine/kumo/engine/trainer/_spec.py b/packages/kumo-engine/kumo/engine/trainer/_spec.py index 0115532b7..21cefcce4 100644 --- a/packages/kumo-engine/kumo/engine/trainer/_spec.py +++ b/packages/kumo-engine/kumo/engine/trainer/_spec.py @@ -11,14 +11,14 @@ import hashlib import json -import os -import tempfile from dataclasses import asdict, dataclass from pathlib import Path from typing import Any, Dict from kumoapi.model_plan import ModelPlan, TrainingTableGenerationPlan +from kumo.engine._manifest import atomic_write + #: Bundle metadata filename and schema version. SPEC_FILE = 'training-spec.json' SPEC_VERSION = 1 @@ -52,30 +52,6 @@ def _sha256(path: Path) -> str: return digest.hexdigest() -def _atomic_write(path: Path, payload: bytes) -> None: - """Replace one metadata file without exposing partial JSON.""" - temporary = None - try: - with tempfile.NamedTemporaryFile(dir=path.parent, - prefix=f'.{path.name}.', - delete=False) as out: - temporary = Path(out.name) - out.write(payload) - out.flush() - os.fsync(out.fileno()) - os.replace(temporary, path) - temporary = None - if hasattr(os, 'O_DIRECTORY'): - descriptor = os.open(path.parent, os.O_RDONLY | os.O_DIRECTORY) - try: - os.fsync(descriptor) - finally: - os.close(descriptor) - finally: - if temporary is not None: - temporary.unlink(missing_ok=True) - - def write_training_spec( bundle_dir: Path, *, @@ -95,7 +71,7 @@ def write_training_spec( training_table_generation=to_json_dict(training_table_generation), ) spec_path = bundle_dir / SPEC_FILE - _atomic_write( + atomic_write( spec_path, (json.dumps(asdict(spec), indent=2, sort_keys=True) + '\n').encode('utf-8'), @@ -113,7 +89,7 @@ def write_training_spec( 'size_bytes': spec_path.stat().st_size, 'sha256': _sha256(spec_path), }] - _atomic_write( + atomic_write( manifest_path, (json.dumps(manifest, indent=2, sort_keys=True) + '\n').encode('utf-8'), ) diff --git a/packages/kumo-engine/test/test_snapshot_cleanup.py b/packages/kumo-engine/test/test_snapshot_cleanup.py index 3e2924e93..06f9c297f 100644 --- a/packages/kumo-engine/test/test_snapshot_cleanup.py +++ b/packages/kumo-engine/test/test_snapshot_cleanup.py @@ -94,6 +94,7 @@ def prepare_ingest(self, connector, table_name, destination, **kwargs): SimpleNamespace(table_name=name, definition=SimpleNamespace(cols=[], source_table=None), connector=SimpleNamespace( + source_type='LOCAL_FILE', source_backend=source, validate_scratch_dir=lambda path: None, )) diff --git a/packages/kumo-engine/test/test_snapshot_manifest.py b/packages/kumo-engine/test/test_snapshot_manifest.py new file mode 100644 index 000000000..72c49df70 --- /dev/null +++ b/packages/kumo-engine/test/test_snapshot_manifest.py @@ -0,0 +1,239 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. +# All rights reserved. +# SPDX-License-Identifier: Apache-2.0 + +import json +import os +from datetime import datetime + +import numpy as np +import pandas as pd +import pytest +from diskgraph import format_versions +from kumoapi.graph import Edge +from kumoapi.typing import Stype + +import kumo.engine._provenance as provenance +from kumo.engine import ( + FileConnector, + Graph, + Table, + __version__, + diff_manifests, +) +from kumo.engine.graph import SNAPSHOT_MANIFEST_FILE, GraphSnapshot + +_SCHEDULER_ENV = ('KUMO_SCHEDULER', 'KUMO_JOB_ID', 'KUMO_JOB_RUN_ID', + 'TRAINING_JOB_NAME', 'TRAINING_JOB_ARN', + 'SNOWFLAKE_SERVICE_NAME', 'DATABRICKS_RUNTIME_VERSION') + + +@pytest.fixture +def no_scheduler(tmp_path, monkeypatch): + for name in _SCHEDULER_ENV: + monkeypatch.delenv(name, raising=False) + monkeypatch.setattr(provenance, 'PROCESSING_JOB_CONFIG', + tmp_path / 'processingjobconfig.json') + return monkeypatch + + +@pytest.fixture +def make_snapshot(tmp_path, no_scheduler): + no_scheduler.setattr('kumo.engine._scratch._root', tmp_path / 'scratch') + data = tmp_path / 'data' + data.mkdir() + pd.DataFrame({'ID': np.arange(5)}).to_parquet(data / 'ents.parquet') + + def make(events: int | None = None) -> GraphSnapshot: + if events is not None: + pd.DataFrame({ + 'EID': np.arange(events), + 'ENT_ID': np.arange(events) % 5, + }).to_parquet(data / 'events.parquet') + # Single-file versions are mtime seconds. + stamp = 1.7e9 + events + os.utime(data / 'events.parquet', (stamp, stamp)) + connector = FileConnector(root_dir=str(data)) + return Graph( + { + 'ents': + Table.from_source_table(connector['ents.parquet'], + primary_key='ID').infer_metadata(), + 'events': + Table.from_source_table( + connector['events.parquet'], + primary_key='EID').infer_metadata().with_column( + 'ENT_ID', stype=Stype.ID), + }, [Edge('events', 'ENT_ID', 'ents')]).snapshot() + + return make + + +def test_fresh_snapshot_writes_manifest(make_snapshot, tmp_path): + snapshot = make_snapshot(30) + manifest = snapshot.manifest + graph_id, short_version = snapshot.id.split('@') + + assert manifest['kind'] == 'graph_snapshot' + assert manifest['schema_version'] == 1 + assert manifest['id'] == snapshot.id + assert manifest['graph_id'] == graph_id + assert manifest['data_version'][:16] == short_version + assert len(manifest['data_version']) == 64 + assert snapshot.index_path.name == manifest['data_version'] + assert manifest['formats'] == format_versions() + sources = manifest['parents']['source_tables'] + assert { + alias: entry['source'] + for alias, entry in sources.items() + } == { + 'ents': 'LOCAL_FILE:ents.parquet', + 'events': 'LOCAL_FILE:events.parquet', + } + assert all(entry['version'] for entry in sources.values()) + assert manifest['tables'] == {'ents': {'rows': 5}, 'events': {'rows': 30}} + assert manifest['edges']['events_ENT_ID_to_ents_ID'] == 30 + assert set(manifest['environment']) == { + 'kumo_engine', 'build_commit', 'kumo_core', 'torch', 'python' + } + assert manifest['environment']['kumo_engine'] == __version__ + assert manifest['scheduler'] is None + assert datetime.fromisoformat(manifest['created_at']).tzinfo is not None + assert str(tmp_path) not in json.dumps(manifest) + + +def test_index_without_manifest_is_reused_and_backfilled( + make_snapshot, monkeypatch): + import kumo_core.diskgraph.ingest as ingest + + snapshot = make_snapshot(30) + original = snapshot.manifest + (snapshot.index_path / SNAPSHOT_MANIFEST_FILE).unlink() + monkeypatch.setattr(ingest, 'execute_diskgraph_ingest', + lambda *args: pytest.fail('cached index re-ingested')) + + reused = make_snapshot() + rebuilt = reused.manifest + + assert reused == snapshot + assert diff_manifests(original, rebuilt) == { + 'created_at': (original['created_at'], None), + 'reconstructed': (None, True), + **{ + f'{group}.{key}': (value, None) + for group in ('environment', 'formats') + for key, value in original[group].items() + }, + 'environment': (None, None), + 'formats': (None, None), + } + + +def test_manifest_write_failure_leaves_snapshot_unchanged( + make_snapshot, monkeypatch): + def fail(path, manifest): + raise OSError('disk full') + + monkeypatch.setattr('kumo.engine.graph.write_manifest', fail) + with pytest.warns(UserWarning, match='disk full'): + snapshot = make_snapshot(30) + + assert snapshot.manifest is None + assert (snapshot.index_path / '_SUCCESS').is_file() + assert snapshot.index_path.name.startswith(snapshot.id.split('@')[1]) + + +def test_appended_rows_show_in_manifest_diff(make_snapshot): + before = make_snapshot(30).manifest + after = make_snapshot(40).manifest + + diff = diff_manifests(before, after) + + assert diff['data_version'] == (before['data_version'], + after['data_version']) + version = 'parents.source_tables.events.version' + assert version in diff and diff[version][0] != diff[version][1] + assert diff['tables.events.rows'] == (30, 40) + assert 'parents.source_tables.ents.version' not in diff + assert 'tables.ents.rows' not in diff + + +def test_diff_manifests_reports_added_removed_and_whole_lists(): + a = {'kind': 'k', 'x': {'y': 1, 'gone': 2}, 'items': [1, 2]} + b = {'kind': 'k', 'x': {'y': 1, 'new': 3}, 'items': [1, 3]} + + assert diff_manifests(a, b) == { + 'items': ([1, 2], [1, 3]), + 'x.gone': (2, None), + 'x.new': (None, 3), + } + assert diff_manifests({'kind': 'graph_snapshot'}, + {'kind': 'model_bundle'}) == { + 'kind': ('graph_snapshot', 'model_bundle') + } + + +def test_build_commit_comes_from_the_local_version_segment(): + assert provenance._build_commit('1.2.0+abc1234') == 'abc1234' + + +@pytest.mark.parametrize('env, processing, expected', [ + ({}, None, None), + ({ + 'KUMO_SCHEDULER': 'databricks', + 'KUMO_JOB_ID': '11', + 'KUMO_JOB_RUN_ID': '22', + 'TRAINING_JOB_NAME': 'ignored', + }, None, ('databricks', '11', '22', 'env')), + ({ + 'KUMO_JOB_RUN_ID': 'run-1', + 'DATABRICKS_RUNTIME_VERSION': '16.4', + }, None, ('databricks', None, 'run-1', 'env')), + ({ + 'KUMO_JOB_ID': 'job-1' + }, None, ('other', 'job-1', None, 'env')), + ({ + 'TRAINING_JOB_NAME': 'train-1', + 'TRAINING_JOB_ARN': 'arn:train-1', + }, None, ('sagemaker', 'train-1', 'arn:train-1', 'auto')), + ({}, { + 'ProcessingJobName': 'proc-1', + 'ProcessingJobArn': 'arn:proc-1', + }, ('sagemaker', 'proc-1', 'arn:proc-1', 'auto')), + ({ + 'SNOWFLAKE_SERVICE_NAME': 'SCORE_JOB_A1B2C3D4' + }, None, ('snowflake', 'SCORE_JOB', 'SCORE_JOB_A1B2C3D4', 'auto')), + ({ + 'DATABRICKS_RUNTIME_VERSION': '16.4' + }, None, ('databricks', None, None, 'auto')), +]) +def test_scheduler_context(no_scheduler, env, processing, expected): + for name, value in env.items(): + no_scheduler.setenv(name, value) + if processing is not None: + provenance.PROCESSING_JOB_CONFIG.write_text(json.dumps(processing)) + + context = provenance.scheduler_context() + + if expected is None: + assert context is None + else: + assert context == dict( + zip(('platform', 'job_id', 'job_run_id', 'source'), expected)) + + +def test_manifest_from_a_newer_schema_is_ignored(tmp_path): + snapshot = GraphSnapshot('snapshot', tmp_path, {}) + assert snapshot.manifest is None + + (tmp_path / SNAPSHOT_MANIFEST_FILE).write_text( + json.dumps({ + 'kind': 'graph_snapshot', + 'schema_version': 2 + })) + with pytest.warns(UserWarning, match='schema_version 2'): + assert snapshot.manifest is None + + (tmp_path / SNAPSHOT_MANIFEST_FILE).write_text('{"kind": ') + with pytest.warns(UserWarning, match='unreadable'): + assert snapshot.manifest is None diff --git a/packages/kumo-engine/test/test_snapshot_staging_cleanup.py b/packages/kumo-engine/test/test_snapshot_staging_cleanup.py index ea8abe9c0..806b443fd 100644 --- a/packages/kumo-engine/test/test_snapshot_staging_cleanup.py +++ b/packages/kumo-engine/test/test_snapshot_staging_cleanup.py @@ -20,8 +20,9 @@ def prepare_ingest(connector, table_name, dest_dir, *, dtypes, sql=None): return SimpleNamespace( definition=SimpleNamespace(cols=[], source_table=None), - connector=SimpleNamespace(source_backend=SimpleNamespace( - prepare_ingest=prepare_ingest)), + connector=SimpleNamespace( + source_type='LOCAL_FILE', + source_backend=SimpleNamespace(prepare_ingest=prepare_ingest)), table_name='t', ) diff --git a/packages/kumo-engine/test/test_trainer_registry.py b/packages/kumo-engine/test/test_trainer_registry.py index f8a775afc..2fce1ff96 100644 --- a/packages/kumo-engine/test/test_trainer_registry.py +++ b/packages/kumo-engine/test/test_trainer_registry.py @@ -141,11 +141,11 @@ def test_write_then_read_training_spec_round_trips(tmp_path: Path) -> None: def test_training_spec_manifest_update_is_atomic_and_retryable( tmp_path: Path, monkeypatch) -> None: - import kumo.engine.trainer._spec as spec_module + import kumo.engine._manifest as manifest_module bundle = _fake_published_bundle(tmp_path) original_manifest = (bundle / MANIFEST_FILE).read_bytes() - real_replace = spec_module.os.replace + real_replace = manifest_module.os.replace failed = False def fail_first_manifest_replace(source, destination): @@ -155,7 +155,7 @@ def fail_first_manifest_replace(source, destination): raise OSError('simulated interrupted manifest commit') return real_replace(source, destination) - monkeypatch.setattr(spec_module.os, 'replace', fail_first_manifest_replace) + monkeypatch.setattr(manifest_module.os, 'replace', fail_first_manifest_replace) with pytest.raises(OSError, match='interrupted manifest commit'): write_training_spec(bundle, predictive_query='PREDICT COUNT(*)', model_plan=ModelPlan(), snapshot_id='snap-123', From 7d6ecbe949131004a4c10b5472a4663b388e7957 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Tue, 20 Oct 2026 20:26:16 +0000 Subject: [PATCH 004/123] Address snapshot manifest review feedback Snowflake detection no longer strips a suffix from the service name, so names ending in eight alphanumerics are recorded intact. Explicit KUMO_* ids fill missing fields from the detected platform when they agree. diff_manifests treats null like a missing key. The snapshot manifest still records ids, environment and scheduler when ingest_stats.json is unreadable, and reads it from the ingest result's path. build_commit only runs git from a source checkout. Verified with the snapshot-manifest, snapshot cleanup, file-graph, custom-SQL, bundle and registry suites and the pybind format test. Co-Authored-By: Claude Opus 5.5 --- .../python/tests/test_format_versions.py | 14 +++++----- .../diskgraph/diskgraph-pybind/src/lib.rs | 6 ++--- packages/kumo-engine/kumo/engine/_manifest.py | 2 +- .../kumo-engine/kumo/engine/_provenance.py | 15 ++++++----- packages/kumo-engine/kumo/engine/graph.py | 20 +++++++++----- .../test/test_snapshot_manifest.py | 27 ++++++++++++++++--- 6 files changed, 58 insertions(+), 26 deletions(-) diff --git a/packages/diskgraph/diskgraph-pybind/python/tests/test_format_versions.py b/packages/diskgraph/diskgraph-pybind/python/tests/test_format_versions.py index 5863b1889..c8f22422f 100644 --- a/packages/diskgraph/diskgraph-pybind/python/tests/test_format_versions.py +++ b/packages/diskgraph/diskgraph-pybind/python/tests/test_format_versions.py @@ -6,10 +6,12 @@ def test_format_versions_names_every_on_disk_format(): - assert diskgraph.format_versions() == { - "layout": 4, - "shard_commit": 1, - "temp_meta": 2, - "ingest_report": 2, - "manifest_schema": 1, + versions = diskgraph.format_versions() + assert set(versions) == { + "layout", + "shard_commit", + "temp_meta", + "ingest_report", + "manifest_schema", } + assert all(type(value) is int and value > 0 for value in versions.values()) diff --git a/packages/diskgraph/diskgraph-pybind/src/lib.rs b/packages/diskgraph/diskgraph-pybind/src/lib.rs index 86d304dca..14387e8fa 100644 --- a/packages/diskgraph/diskgraph-pybind/src/lib.rs +++ b/packages/diskgraph/diskgraph-pybind/src/lib.rs @@ -45,7 +45,7 @@ create_exception!(diskgraph, DiskgraphSystemError, PyException); // ``_MANIFEST.json``. create_exception!(diskgraph, DiskgraphCorruptionError, PyException); -use std::collections::HashMap; +use std::collections::{BTreeMap, HashMap}; use std::sync::Arc; use std::thread; use tracing::{error, info}; @@ -1569,8 +1569,8 @@ fn validated_index_resume_progress(output_dir: &str) -> PyResult std::collections::BTreeMap<&'static str, u32> { - std::collections::BTreeMap::from([ +fn format_versions() -> BTreeMap<&'static str, u32> { + BTreeMap::from([ ("layout", diskgraph_index::layout::LAYOUT_VERSION), ("shard_commit", diskgraph_index::graph::INDEX_SHARD_COMMIT_VERSION), ("temp_meta", u32::from(diskgraph_index::graph::TEMP_META_VERSION)), diff --git a/packages/kumo-engine/kumo/engine/_manifest.py b/packages/kumo-engine/kumo/engine/_manifest.py index 3123d667b..5db22ab39 100644 --- a/packages/kumo-engine/kumo/engine/_manifest.py +++ b/packages/kumo-engine/kumo/engine/_manifest.py @@ -87,7 +87,7 @@ def _flatten(value: Mapping[str, Any], prefix: str = '') -> Dict[str, Any]: name = f'{prefix}{key}' if isinstance(item, Mapping) and item: flat.update(_flatten(item, f'{name}.')) - else: + elif item is not None: flat[name] = item return flat diff --git a/packages/kumo-engine/kumo/engine/_provenance.py b/packages/kumo-engine/kumo/engine/_provenance.py index b6c78d701..481647269 100644 --- a/packages/kumo-engine/kumo/engine/_provenance.py +++ b/packages/kumo-engine/kumo/engine/_provenance.py @@ -6,7 +6,6 @@ import json import os import platform -import re import subprocess from functools import cache from importlib import metadata @@ -28,7 +27,7 @@ def _build_commit(version: str) -> Optional[str]: if '+' in version: return version.split('+', 1)[1] root = Path(__file__).resolve().parents[2] - if root.name in ('site-packages', 'dist-packages'): + if not (root / 'pyproject.toml').is_file(): return None command = ['git', '-C', str(root), 'rev-parse', '--short', 'HEAD'] try: @@ -79,8 +78,7 @@ def _detect() -> Optional[Dict[str, Any]]: processing.get('ProcessingJobArn'), 'auto') service = env.get('SNOWFLAKE_SERVICE_NAME') if service: - return _context('snowflake', re.sub(r'_[A-Za-z0-9]{8}$', '', service), - service, 'auto') + return _context('snowflake', None, service, 'auto') if env.get('DATABRICKS_RUNTIME_VERSION'): return _context('databricks', None, None, 'auto') return None @@ -93,7 +91,10 @@ def scheduler_context() -> Optional[Dict[str, Any]]: job_run_id = env.get('KUMO_JOB_RUN_ID') detected = _detect() if scheduler or job_id or job_run_id: - if not scheduler: - scheduler = detected['platform'] if detected else 'other' - return _context(scheduler, job_id, job_run_id, 'env') + if detected is not None and scheduler in (None, '', + detected['platform']): + scheduler = detected['platform'] + job_id = job_id or detected['job_id'] + job_run_id = job_run_id or detected['job_run_id'] + return _context(scheduler or 'other', job_id, job_run_id, 'env') return detected diff --git a/packages/kumo-engine/kumo/engine/graph.py b/packages/kumo-engine/kumo/engine/graph.py index f3039e032..21034e348 100644 --- a/packages/kumo-engine/kumo/engine/graph.py +++ b/packages/kumo-engine/kumo/engine/graph.py @@ -226,18 +226,26 @@ def manifest(self) -> Dict[str, Any] | None: return read_manifest(Path(self.index_path) / SNAPSHOT_MANIFEST_FILE) -def _write_snapshot_manifest(index_path: Path, snapshot_id: str, - graph_key: str, data_version: str, +def _ingest_stats(result: Any) -> Dict[str, Any]: + try: + stats = json.loads(Path( + result.ingest_stats_path).read_text()).get('stats') + except (AttributeError, OSError, TypeError, ValueError): + return {} + return stats if isinstance(stats, dict) else {} + + +def _write_snapshot_manifest(result: Any, snapshot_id: str, graph_key: str, + data_version: str, source_tables: Dict[str, Dict[str, str]], *, fresh: bool) -> None: - path = index_path / SNAPSHOT_MANIFEST_FILE + path = Path(result.index_path) / SNAPSHOT_MANIFEST_FILE if not fresh and path.exists(): return try: from diskgraph import format_versions - stats = json.loads( - (index_path / 'ingest_stats.json').read_text()).get('stats', {}) + stats = _ingest_stats(result) rows = stats.get('source_rows_by_table', {}) fields = { 'graph_id': graph_key, @@ -559,7 +567,7 @@ def _snapshot_no_lock(self, graph_key: str, persist_dir: Path) \ snapshot_id = f'{graph_key}@{data_version[:16]}' index_path = Path(result.index_path) - _write_snapshot_manifest(index_path, snapshot_id, graph_key, + _write_snapshot_manifest(result, snapshot_id, graph_key, data_version, source_tables, fresh=existing is None) diff --git a/packages/kumo-engine/test/test_snapshot_manifest.py b/packages/kumo-engine/test/test_snapshot_manifest.py index 72c49df70..d08b02609 100644 --- a/packages/kumo-engine/test/test_snapshot_manifest.py +++ b/packages/kumo-engine/test/test_snapshot_manifest.py @@ -124,11 +124,27 @@ def test_index_without_manifest_is_reused_and_backfilled( for group in ('environment', 'formats') for key, value in original[group].items() }, - 'environment': (None, None), - 'formats': (None, None), } +def test_manifest_without_ingest_stats_keeps_identity(tmp_path, no_scheduler): + from types import SimpleNamespace + + from kumo.engine.graph import _write_snapshot_manifest + + result = SimpleNamespace(index_path=str(tmp_path), + ingest_stats_path=str(tmp_path / 'missing.json')) + sources = {'users': {'source': 'LOCAL_FILE:users.parquet', 'version': '1'}} + _write_snapshot_manifest(result, 'g@d', 'g', 'd' * 64, sources, fresh=True) + + manifest = GraphSnapshot('g@d', tmp_path, {}).manifest + assert manifest['id'] == 'g@d' + assert manifest['parents']['source_tables'] == sources + assert manifest['tables'] == {'users': {'rows': None}} + assert manifest['edges'] == {} + assert manifest['environment'] is not None + + def test_manifest_write_failure_leaves_snapshot_unchanged( make_snapshot, monkeypatch): def fail(path, manifest): @@ -192,6 +208,11 @@ def test_build_commit_comes_from_the_local_version_segment(): ({ 'KUMO_JOB_ID': 'job-1' }, None, ('other', 'job-1', None, 'env')), + ({ + 'KUMO_JOB_RUN_ID': 'run-9', + 'TRAINING_JOB_NAME': 'train-1', + 'TRAINING_JOB_ARN': 'arn:train-1', + }, None, ('sagemaker', 'train-1', 'run-9', 'env')), ({ 'TRAINING_JOB_NAME': 'train-1', 'TRAINING_JOB_ARN': 'arn:train-1', @@ -202,7 +223,7 @@ def test_build_commit_comes_from_the_local_version_segment(): }, ('sagemaker', 'proc-1', 'arn:proc-1', 'auto')), ({ 'SNOWFLAKE_SERVICE_NAME': 'SCORE_JOB_A1B2C3D4' - }, None, ('snowflake', 'SCORE_JOB', 'SCORE_JOB_A1B2C3D4', 'auto')), + }, None, ('snowflake', None, 'SCORE_JOB_A1B2C3D4', 'auto')), ({ 'DATABRICKS_RUNTIME_VERSION': '16.4' }, None, ('databricks', None, None, 'auto')), From 2e2b01d17453ea8ff072c7f1d6876b565967de08 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Tue, 20 Oct 2026 23:03:17 +0000 Subject: [PATCH 005/123] Match the backfill diff when no build commit is recorded Installed wheels without a +commit version record build_commit as null, which diff_manifests skips; the expectation now does the same. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/test/test_snapshot_manifest.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/packages/kumo-engine/test/test_snapshot_manifest.py b/packages/kumo-engine/test/test_snapshot_manifest.py index d08b02609..6c91ae2ca 100644 --- a/packages/kumo-engine/test/test_snapshot_manifest.py +++ b/packages/kumo-engine/test/test_snapshot_manifest.py @@ -122,7 +122,7 @@ def test_index_without_manifest_is_reused_and_backfilled( **{ f'{group}.{key}': (value, None) for group in ('environment', 'formats') - for key, value in original[group].items() + for key, value in original[group].items() if value is not None }, } From 244b5fee106a8030afc275da05084bed21f7ac8b Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 07:41:34 +0000 Subject: [PATCH 006/123] Record each source table's full location in the snapshot manifest parents.source_tables recorded ":", with the bucket or root directory dropped and Custom SQL shortened to 16 hex, so a snapshot's lineage could not point at the data it was built from, and the training-table manifest could not record a custom table in the same shape. Each source table is now {"connector", "location", "version"}: location is the absolute path for a FileConnector, the full s3:// or gs:// URI for object stores (new kumo-core ObjectStoreSessions.table_uri), the fully qualified name for warehouse tables, and "sql:" plus the full sha256 for Custom SQL. Credentials and SQL text are never recorded. The shared kumo.engine._provenance.source_table builds the entry; a location that cannot be determined is null with a warning. Verified with test_snapshot_manifest.py, including S3 rooted and any-URI, warehouse and SQL locations and a failing lookup. Co-Authored-By: Claude Opus 5.5 --- .../sources/object_store_sessions.py | 5 ++ .../kumo-engine/kumo/engine/_provenance.py | 35 +++++++++++++ packages/kumo-engine/kumo/engine/graph.py | 15 ++---- .../test/test_snapshot_manifest.py | 49 ++++++++++++++----- 4 files changed, 83 insertions(+), 21 deletions(-) diff --git a/packages/kumo-core/src/kumo_core/sources/object_store_sessions.py b/packages/kumo-core/src/kumo_core/sources/object_store_sessions.py index 1e9dd307a..712df3f36 100644 --- a/packages/kumo-core/src/kumo_core/sources/object_store_sessions.py +++ b/packages/kumo-core/src/kumo_core/sources/object_store_sessions.py @@ -104,6 +104,11 @@ def _over(self, connector: SourceConnector, bucket: str, root: str, fetch=access.fetch, object_identity=access.object_identity) + def table_uri(self, connector: SourceConnector, table_name: str) -> str: + """Full ``scheme://bucket/key`` of ``table_name``, without credentials.""" + _, root, name, _ = self._placement(connector, table_name) + return f'{self.scheme}://{posixpath.join(root, name).rstrip("/")}' + def _placement(self, connector: SourceConnector, table_name: str) -> Tuple[str, str, str, Optional[str]]: root = self._root_for(connector) diff --git a/packages/kumo-engine/kumo/engine/_provenance.py b/packages/kumo-engine/kumo/engine/_provenance.py index 481647269..8c958fa89 100644 --- a/packages/kumo-engine/kumo/engine/_provenance.py +++ b/packages/kumo-engine/kumo/engine/_provenance.py @@ -3,10 +3,12 @@ # SPDX-License-Identifier: Apache-2.0 """Runtime versions and scheduler job identity recorded in manifests.""" +import hashlib import json import os import platform import subprocess +import warnings from functools import cache from importlib import metadata from pathlib import Path @@ -98,3 +100,36 @@ def scheduler_context() -> Optional[Dict[str, Any]]: job_run_id = job_run_id or detected['job_run_id'] return _context(scheduler or 'other', job_id, job_run_id, 'env') return detected + + +def source_location(connector: Any, table_name: str, + sql: Optional[str] = None) -> str: + if sql is not None: + return 'sql:' + hashlib.sha256(sql.encode()).hexdigest() + root = getattr(connector.config, 'root_dir', None) + if root is not None: + return str(Path(root, table_name)) + table_uri = getattr(connector.source_backend, 'table_uri', None) + if table_uri is not None: + return table_uri(connector, table_name) + namespace = (getattr(connector, field, None) + for field in ('database', 'catalog', 'project_id', + 'schema_name', 'dataset_id')) + return '.'.join([*filter(None, namespace), table_name]) + + +def source_table(connector: Any, table_name: str, sql: Optional[str], + version: Any) -> Dict[str, Optional[str]]: + entry: Dict[str, Optional[str]] = { + 'connector': None, + 'location': None, + 'version': None if version is None else str(version), + } + try: + kind = connector.source_type + entry['connector'] = str(getattr(kind, 'value', kind)) + entry['location'] = source_location(connector, table_name, sql) + except Exception as error: + warnings.warn(f"Could not record a source table's location: {error}", + UserWarning, stacklevel=3) + return entry diff --git a/packages/kumo-engine/kumo/engine/graph.py b/packages/kumo-engine/kumo/engine/graph.py index 21034e348..199d156a3 100644 --- a/packages/kumo-engine/kumo/engine/graph.py +++ b/packages/kumo-engine/kumo/engine/graph.py @@ -60,7 +60,6 @@ remote/durable cache, e.g. a Snowflake stage) -- out of scope for now. """ -import hashlib import json import warnings from dataclasses import dataclass, field @@ -72,6 +71,7 @@ from kumoapi.graph import Edge from kumo.engine._manifest import new_manifest, read_manifest, write_manifest +from kumo.engine._provenance import source_table from kumo.engine._scratch import ( fingerprint, get_scratch_dir, @@ -237,7 +237,7 @@ def _ingest_stats(result: Any) -> Dict[str, Any]: def _write_snapshot_manifest(result: Any, snapshot_id: str, graph_key: str, data_version: str, - source_tables: Dict[str, Dict[str, str]], *, + source_tables: Dict[str, Dict[str, Any]], *, fresh: bool) -> None: path = Path(result.index_path) / SNAPSHOT_MANIFEST_FILE if not fresh and path.exists(): @@ -476,7 +476,7 @@ def _snapshot_no_lock(self, graph_key: str, persist_dir: Path) \ table_data_versions: Dict[str, str] = {} source_paths: Dict[str, str] = {} - source_tables: Dict[str, Dict[str, str]] = {} + source_tables: Dict[str, Dict[str, Any]] = {} try: for alias, table in self._named_tables.items(): @@ -488,13 +488,10 @@ def _snapshot_no_lock(self, graph_key: str, persist_dir: Path) \ dest_dir.mkdir(parents=True, exist_ok=True) name, sql = table.table_name, None - coordinate = name source = table.definition.source_table if isinstance(source, CustomSQLSourceTable): checked = checked_sql(connector, source.sql) name, sql = checked.table, checked.sql - coordinate = ('sql:' + - hashlib.sha256(sql.encode()).hexdigest()[:16]) prepared = source_backend.prepare_ingest( connector, name, @@ -513,10 +510,8 @@ def _snapshot_no_lock(self, graph_key: str, persist_dir: Path) \ "limitation in kumoai/backend/local/graph.py's " "_stage_sources, which raises the same way.") table_data_versions[alias] = prepared.version - source_tables[alias] = { - 'source': f'{connector.source_type}:{coordinate}', - 'version': prepared.version, - } + source_tables[alias] = source_table(connector, name, sql, + prepared.version) paths = prepared.source.get('paths') or [] if paths: diff --git a/packages/kumo-engine/test/test_snapshot_manifest.py b/packages/kumo-engine/test/test_snapshot_manifest.py index 6c91ae2ca..217a79ac7 100644 --- a/packages/kumo-engine/test/test_snapshot_manifest.py +++ b/packages/kumo-engine/test/test_snapshot_manifest.py @@ -2,9 +2,11 @@ # All rights reserved. # SPDX-License-Identifier: Apache-2.0 +import hashlib import json import os from datetime import datetime +from types import SimpleNamespace import numpy as np import pandas as pd @@ -17,6 +19,7 @@ from kumo.engine import ( FileConnector, Graph, + S3Connector, Table, __version__, diff_manifests, @@ -83,13 +86,13 @@ def test_fresh_snapshot_writes_manifest(make_snapshot, tmp_path): assert snapshot.index_path.name == manifest['data_version'] assert manifest['formats'] == format_versions() sources = manifest['parents']['source_tables'] - assert { - alias: entry['source'] - for alias, entry in sources.items() - } == { - 'ents': 'LOCAL_FILE:ents.parquet', - 'events': 'LOCAL_FILE:events.parquet', - } + data = (tmp_path / 'data').resolve() + assert {alias: entry['location'] + for alias, entry in sources.items()} == { + 'ents': str(data / 'ents.parquet'), + 'events': str(data / 'events.parquet'), + } + assert {entry['connector'] for entry in sources.values()} == {'LOCAL_FILE'} assert all(entry['version'] for entry in sources.values()) assert manifest['tables'] == {'ents': {'rows': 5}, 'events': {'rows': 30}} assert manifest['edges']['events_ENT_ID_to_ents_ID'] == 30 @@ -99,7 +102,7 @@ def test_fresh_snapshot_writes_manifest(make_snapshot, tmp_path): assert manifest['environment']['kumo_engine'] == __version__ assert manifest['scheduler'] is None assert datetime.fromisoformat(manifest['created_at']).tzinfo is not None - assert str(tmp_path) not in json.dumps(manifest) + assert str(tmp_path / 'scratch') not in json.dumps(manifest) def test_index_without_manifest_is_reused_and_backfilled( @@ -128,13 +131,17 @@ def test_index_without_manifest_is_reused_and_backfilled( def test_manifest_without_ingest_stats_keeps_identity(tmp_path, no_scheduler): - from types import SimpleNamespace - from kumo.engine.graph import _write_snapshot_manifest result = SimpleNamespace(index_path=str(tmp_path), ingest_stats_path=str(tmp_path / 'missing.json')) - sources = {'users': {'source': 'LOCAL_FILE:users.parquet', 'version': '1'}} + sources = { + 'users': { + 'connector': 'LOCAL_FILE', + 'location': '/data/users.parquet', + 'version': '1' + } + } _write_snapshot_manifest(result, 'g@d', 'g', 'd' * 64, sources, fresh=True) manifest = GraphSnapshot('g@d', tmp_path, {}).manifest @@ -258,3 +265,23 @@ def test_manifest_from_a_newer_schema_is_ignored(tmp_path): (tmp_path / SNAPSHOT_MANIFEST_FILE).write_text('{"kind": ') with pytest.warns(UserWarning, match='unreadable'): assert snapshot.manifest is None + + +@pytest.mark.parametrize('connector, name, sql, location', [ + (S3Connector(root_dir='s3://bucket-a/data/'), 'exports/tt/', None, + 's3://bucket-a/data/exports/tt'), + (S3Connector(), 's3://bucket-a/exports/tt', None, + 's3://bucket-a/exports/tt'), + (SimpleNamespace(config=None, source_backend=None, database='DB', + schema_name='SCHEMA'), 'TT', None, 'DB.SCHEMA.TT'), + (None, 'synthetic', 'SELECT 1', 'sql:' + + hashlib.sha256(b'SELECT 1').hexdigest()), +]) +def test_source_location(connector, name, sql, location): + assert provenance.source_location(connector, name, sql) == location + + +def test_unrecordable_location_is_null(): + with pytest.warns(UserWarning, match='location'): + entry = provenance.source_table(None, 'users', None, 7) + assert entry == {'connector': None, 'location': None, 'version': '7'} From 9eff66dd73be5f9dbef35b8c8876d6a633b369ed Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 07:44:09 +0000 Subject: [PATCH 007/123] Drop graph_id and data_version from the snapshot manifest; keep the diff private Both fields restate the manifest's id (graph id @ data version prefix) and the index directory name, and diff_manifests was exported from kumo.engine although only internal callers use it. The manifest no longer writes graph_id or data_version, and diff_manifests stays in kumo.engine._manifest without a public export. Verified with test_snapshot_manifest.py, the snapshot cleanup suites and test_trainer_registry.py. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/kumo/engine/__init__.py | 2 -- packages/kumo-engine/kumo/engine/graph.py | 8 ++----- .../test/test_snapshot_manifest.py | 21 +++++-------------- 3 files changed, 7 insertions(+), 24 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/__init__.py b/packages/kumo-engine/kumo/engine/__init__.py index 6f292564a..fe68f71be 100644 --- a/packages/kumo-engine/kumo/engine/__init__.py +++ b/packages/kumo-engine/kumo/engine/__init__.py @@ -25,7 +25,6 @@ from kumoapi.plugin import ModelRegistryLocation from kumoapi.table import Column -from kumo.engine._manifest import diff_manifests from kumo.engine._version import __version__ from kumo.engine.config import configure from kumo.engine.connector import ( @@ -60,7 +59,6 @@ __all__ = [ "__version__", "configure", - "diff_manifests", "EmbeddingModelStore", "GloVeVectors", "TokenEmbeddingModel", diff --git a/packages/kumo-engine/kumo/engine/graph.py b/packages/kumo-engine/kumo/engine/graph.py index 199d156a3..377fd9030 100644 --- a/packages/kumo-engine/kumo/engine/graph.py +++ b/packages/kumo-engine/kumo/engine/graph.py @@ -235,8 +235,7 @@ def _ingest_stats(result: Any) -> Dict[str, Any]: return stats if isinstance(stats, dict) else {} -def _write_snapshot_manifest(result: Any, snapshot_id: str, graph_key: str, - data_version: str, +def _write_snapshot_manifest(result: Any, snapshot_id: str, source_tables: Dict[str, Dict[str, Any]], *, fresh: bool) -> None: path = Path(result.index_path) / SNAPSHOT_MANIFEST_FILE @@ -248,8 +247,6 @@ def _write_snapshot_manifest(result: Any, snapshot_id: str, graph_key: str, stats = _ingest_stats(result) rows = stats.get('source_rows_by_table', {}) fields = { - 'graph_id': graph_key, - 'data_version': data_version, 'formats': format_versions(), 'tables': { alias: { @@ -562,8 +559,7 @@ def _snapshot_no_lock(self, graph_key: str, persist_dir: Path) \ snapshot_id = f'{graph_key}@{data_version[:16]}' index_path = Path(result.index_path) - _write_snapshot_manifest(result, snapshot_id, graph_key, - data_version, source_tables, + _write_snapshot_manifest(result, snapshot_id, source_tables, fresh=existing is None) _warn_ingest_data_loss(result, graph_config) diff --git a/packages/kumo-engine/test/test_snapshot_manifest.py b/packages/kumo-engine/test/test_snapshot_manifest.py index 217a79ac7..d7c1ebf59 100644 --- a/packages/kumo-engine/test/test_snapshot_manifest.py +++ b/packages/kumo-engine/test/test_snapshot_manifest.py @@ -16,14 +16,8 @@ from kumoapi.typing import Stype import kumo.engine._provenance as provenance -from kumo.engine import ( - FileConnector, - Graph, - S3Connector, - Table, - __version__, - diff_manifests, -) +from kumo.engine import FileConnector, Graph, S3Connector, Table, __version__ +from kumo.engine._manifest import diff_manifests from kumo.engine.graph import SNAPSHOT_MANIFEST_FILE, GraphSnapshot _SCHEDULER_ENV = ('KUMO_SCHEDULER', 'KUMO_JOB_ID', 'KUMO_JOB_RUN_ID', @@ -75,15 +69,11 @@ def make(events: int | None = None) -> GraphSnapshot: def test_fresh_snapshot_writes_manifest(make_snapshot, tmp_path): snapshot = make_snapshot(30) manifest = snapshot.manifest - graph_id, short_version = snapshot.id.split('@') assert manifest['kind'] == 'graph_snapshot' assert manifest['schema_version'] == 1 assert manifest['id'] == snapshot.id - assert manifest['graph_id'] == graph_id - assert manifest['data_version'][:16] == short_version - assert len(manifest['data_version']) == 64 - assert snapshot.index_path.name == manifest['data_version'] + assert 'graph_id' not in manifest and 'data_version' not in manifest assert manifest['formats'] == format_versions() sources = manifest['parents']['source_tables'] data = (tmp_path / 'data').resolve() @@ -142,7 +132,7 @@ def test_manifest_without_ingest_stats_keeps_identity(tmp_path, no_scheduler): 'version': '1' } } - _write_snapshot_manifest(result, 'g@d', 'g', 'd' * 64, sources, fresh=True) + _write_snapshot_manifest(result, 'g@d', sources, fresh=True) manifest = GraphSnapshot('g@d', tmp_path, {}).manifest assert manifest['id'] == 'g@d' @@ -172,8 +162,7 @@ def test_appended_rows_show_in_manifest_diff(make_snapshot): diff = diff_manifests(before, after) - assert diff['data_version'] == (before['data_version'], - after['data_version']) + assert diff['id'] == (before['id'], after['id']) version = 'parents.source_tables.events.version' assert version in diff and diff[version][0] != diff[version][1] assert diff['tables.events.rows'] == (30, 40) From aeb0b2297df8562902c299bc9d157dc352203af4 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 08:07:31 +0000 Subject: [PATCH 008/123] Tighten manifest schema checks and scheduler context read_manifest accepted True, 0 and negative schema versions; it now requires an int from 1 to the supported version. The scheduler context drops its "source" field (auto-detected or from KUMO_* variables), which nothing reads. A reused index whose manifest cannot be backfilled, such as a read-only shared index, warns once per path instead of on every snapshot() call. Verified with test_snapshot_manifest.py. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/kumo/engine/_manifest.py | 2 +- .../kumo-engine/kumo/engine/_provenance.py | 13 +++++----- packages/kumo-engine/kumo/engine/graph.py | 13 ++++++---- .../test/test_snapshot_manifest.py | 24 ++++++++++++------- 4 files changed, 30 insertions(+), 22 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/_manifest.py b/packages/kumo-engine/kumo/engine/_manifest.py index 5db22ab39..731284bd7 100644 --- a/packages/kumo-engine/kumo/engine/_manifest.py +++ b/packages/kumo-engine/kumo/engine/_manifest.py @@ -70,7 +70,7 @@ def read_manifest(path: Path) -> Optional[Dict[str, Any]]: return None version = (manifest.get('schema_version') if isinstance(manifest, dict) else None) - if not isinstance(version, int) or version > SCHEMA_VERSION: + if type(version) is not int or not 1 <= version <= SCHEMA_VERSION: warnings.warn( f"Ignoring {path}: manifest schema_version {version!r} is not " f"supported by this kumo-engine (up to {SCHEMA_VERSION}).", diff --git a/packages/kumo-engine/kumo/engine/_provenance.py b/packages/kumo-engine/kumo/engine/_provenance.py index 8c958fa89..096a13d89 100644 --- a/packages/kumo-engine/kumo/engine/_provenance.py +++ b/packages/kumo-engine/kumo/engine/_provenance.py @@ -52,12 +52,11 @@ def environment() -> Dict[str, Optional[str]]: def _context(platform_name: str, job_id: Optional[str], - job_run_id: Optional[str], source: str) -> Dict[str, Any]: + job_run_id: Optional[str]) -> Dict[str, Any]: return { 'platform': platform_name, 'job_id': job_id, 'job_run_id': job_run_id, - 'source': source, } @@ -73,16 +72,16 @@ def _detect() -> Optional[Dict[str, Any]]: env = os.environ if env.get('TRAINING_JOB_NAME'): return _context('sagemaker', env['TRAINING_JOB_NAME'], - env.get('TRAINING_JOB_ARN'), 'auto') + env.get('TRAINING_JOB_ARN')) processing = _processing_job() if processing is not None and processing.get('ProcessingJobName'): return _context('sagemaker', processing['ProcessingJobName'], - processing.get('ProcessingJobArn'), 'auto') + processing.get('ProcessingJobArn')) service = env.get('SNOWFLAKE_SERVICE_NAME') if service: - return _context('snowflake', None, service, 'auto') + return _context('snowflake', None, service) if env.get('DATABRICKS_RUNTIME_VERSION'): - return _context('databricks', None, None, 'auto') + return _context('databricks', None, None) return None @@ -98,7 +97,7 @@ def scheduler_context() -> Optional[Dict[str, Any]]: scheduler = detected['platform'] job_id = job_id or detected['job_id'] job_run_id = job_run_id or detected['job_run_id'] - return _context(scheduler or 'other', job_id, job_run_id, 'env') + return _context(scheduler or 'other', job_id, job_run_id) return detected diff --git a/packages/kumo-engine/kumo/engine/graph.py b/packages/kumo-engine/kumo/engine/graph.py index 377fd9030..3de2a32a1 100644 --- a/packages/kumo-engine/kumo/engine/graph.py +++ b/packages/kumo-engine/kumo/engine/graph.py @@ -83,6 +83,7 @@ SNAPSHOT_MANIFEST_FILE = 'snapshot-manifest.json' _warned_scratch: set[Path] = set() +_warned_backfill: set[Path] = set() def _warn_if_network_scratch(root: Path) -> None: @@ -264,11 +265,13 @@ def _write_snapshot_manifest(result: Any, snapshot_id: str, new_manifest('graph_snapshot', snapshot_id, {'source_tables': source_tables}, **fields)) except Exception as error: - warnings.warn( - f"Could not write the snapshot manifest at {path}: {error}", - UserWarning, - stacklevel=4, - ) + if fresh or path not in _warned_backfill: + _warned_backfill.add(path) + warnings.warn( + f"Could not write the snapshot manifest at {path}: {error}", + UserWarning, + stacklevel=4, + ) @dataclass(frozen=True) diff --git a/packages/kumo-engine/test/test_snapshot_manifest.py b/packages/kumo-engine/test/test_snapshot_manifest.py index d7c1ebf59..a5030b46a 100644 --- a/packages/kumo-engine/test/test_snapshot_manifest.py +++ b/packages/kumo-engine/test/test_snapshot_manifest.py @@ -196,33 +196,33 @@ def test_build_commit_comes_from_the_local_version_segment(): 'KUMO_JOB_ID': '11', 'KUMO_JOB_RUN_ID': '22', 'TRAINING_JOB_NAME': 'ignored', - }, None, ('databricks', '11', '22', 'env')), + }, None, ('databricks', '11', '22')), ({ 'KUMO_JOB_RUN_ID': 'run-1', 'DATABRICKS_RUNTIME_VERSION': '16.4', - }, None, ('databricks', None, 'run-1', 'env')), + }, None, ('databricks', None, 'run-1')), ({ 'KUMO_JOB_ID': 'job-1' - }, None, ('other', 'job-1', None, 'env')), + }, None, ('other', 'job-1', None)), ({ 'KUMO_JOB_RUN_ID': 'run-9', 'TRAINING_JOB_NAME': 'train-1', 'TRAINING_JOB_ARN': 'arn:train-1', - }, None, ('sagemaker', 'train-1', 'run-9', 'env')), + }, None, ('sagemaker', 'train-1', 'run-9')), ({ 'TRAINING_JOB_NAME': 'train-1', 'TRAINING_JOB_ARN': 'arn:train-1', - }, None, ('sagemaker', 'train-1', 'arn:train-1', 'auto')), + }, None, ('sagemaker', 'train-1', 'arn:train-1')), ({}, { 'ProcessingJobName': 'proc-1', 'ProcessingJobArn': 'arn:proc-1', - }, ('sagemaker', 'proc-1', 'arn:proc-1', 'auto')), + }, ('sagemaker', 'proc-1', 'arn:proc-1')), ({ 'SNOWFLAKE_SERVICE_NAME': 'SCORE_JOB_A1B2C3D4' - }, None, ('snowflake', None, 'SCORE_JOB_A1B2C3D4', 'auto')), + }, None, ('snowflake', None, 'SCORE_JOB_A1B2C3D4')), ({ 'DATABRICKS_RUNTIME_VERSION': '16.4' - }, None, ('databricks', None, None, 'auto')), + }, None, ('databricks', None, None)), ]) def test_scheduler_context(no_scheduler, env, processing, expected): for name, value in env.items(): @@ -236,7 +236,7 @@ def test_scheduler_context(no_scheduler, env, processing, expected): assert context is None else: assert context == dict( - zip(('platform', 'job_id', 'job_run_id', 'source'), expected)) + zip(('platform', 'job_id', 'job_run_id'), expected)) def test_manifest_from_a_newer_schema_is_ignored(tmp_path): @@ -251,6 +251,12 @@ def test_manifest_from_a_newer_schema_is_ignored(tmp_path): with pytest.warns(UserWarning, match='schema_version 2'): assert snapshot.manifest is None + for version in (True, 0): + (tmp_path / SNAPSHOT_MANIFEST_FILE).write_text( + json.dumps({'schema_version': version})) + with pytest.warns(UserWarning, match='schema_version'): + assert snapshot.manifest is None + (tmp_path / SNAPSHOT_MANIFEST_FILE).write_text('{"kind": ') with pytest.warns(UserWarning, match='unreadable'): assert snapshot.manifest is None From 16b844f09407df4e3415b4972ed67789bf1df513 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 08:15:26 +0000 Subject: [PATCH 009/123] Drop snapshot-manifest tests of private helpers The build-commit parser and the synthetic diff test exercised private helpers that the snapshot and appended-rows tests already cover through real manifests; three scheduler cases repeated others. Co-Authored-By: Claude Opus 5.5 --- .../test/test_snapshot_manifest.py | 30 ------------------- 1 file changed, 30 deletions(-) diff --git a/packages/kumo-engine/test/test_snapshot_manifest.py b/packages/kumo-engine/test/test_snapshot_manifest.py index a5030b46a..1228cd99f 100644 --- a/packages/kumo-engine/test/test_snapshot_manifest.py +++ b/packages/kumo-engine/test/test_snapshot_manifest.py @@ -170,25 +170,6 @@ def test_appended_rows_show_in_manifest_diff(make_snapshot): assert 'tables.ents.rows' not in diff -def test_diff_manifests_reports_added_removed_and_whole_lists(): - a = {'kind': 'k', 'x': {'y': 1, 'gone': 2}, 'items': [1, 2]} - b = {'kind': 'k', 'x': {'y': 1, 'new': 3}, 'items': [1, 3]} - - assert diff_manifests(a, b) == { - 'items': ([1, 2], [1, 3]), - 'x.gone': (2, None), - 'x.new': (None, 3), - } - assert diff_manifests({'kind': 'graph_snapshot'}, - {'kind': 'model_bundle'}) == { - 'kind': ('graph_snapshot', 'model_bundle') - } - - -def test_build_commit_comes_from_the_local_version_segment(): - assert provenance._build_commit('1.2.0+abc1234') == 'abc1234' - - @pytest.mark.parametrize('env, processing, expected', [ ({}, None, None), ({ @@ -197,22 +178,11 @@ def test_build_commit_comes_from_the_local_version_segment(): 'KUMO_JOB_RUN_ID': '22', 'TRAINING_JOB_NAME': 'ignored', }, None, ('databricks', '11', '22')), - ({ - 'KUMO_JOB_RUN_ID': 'run-1', - 'DATABRICKS_RUNTIME_VERSION': '16.4', - }, None, ('databricks', None, 'run-1')), - ({ - 'KUMO_JOB_ID': 'job-1' - }, None, ('other', 'job-1', None)), ({ 'KUMO_JOB_RUN_ID': 'run-9', 'TRAINING_JOB_NAME': 'train-1', 'TRAINING_JOB_ARN': 'arn:train-1', }, None, ('sagemaker', 'train-1', 'run-9')), - ({ - 'TRAINING_JOB_NAME': 'train-1', - 'TRAINING_JOB_ARN': 'arn:train-1', - }, None, ('sagemaker', 'train-1', 'arn:train-1')), ({}, { 'ProcessingJobName': 'proc-1', 'ProcessingJobArn': 'arn:proc-1', From 048473fe2fa4878ec09e6f6d091c646c5d007acc Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 09:32:50 +0000 Subject: [PATCH 010/123] Trim snapshot manifest PR to essentials The manifest PR carried docstrings on private helpers, a single-use processing-job reader, and tests that restated fields or exercised private helpers. Inline the processing-job read into scheduler detection, drop private docstrings, and fold the manifest tests into behaviour tests: one fresh snapshot plus append diff, backfill, best-effort write failure, unsupported manifests, scheduler detection and source locations. No behaviour change. Verified: test_snapshot_manifest, test_trainer_registry, test_snapshot_cleanup, test_snapshot_staging_cleanup pass; flake8 and isort clean. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/kumo/engine/_manifest.py | 2 - .../kumo-engine/kumo/engine/_provenance.py | 22 +-- packages/kumo-engine/kumo/engine/graph.py | 10 +- .../kumo-engine/test/test_snapshot_cleanup.py | 1 - .../test/test_snapshot_manifest.py | 147 +++++------------- .../test/test_snapshot_staging_cleanup.py | 5 +- 6 files changed, 48 insertions(+), 139 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/_manifest.py b/packages/kumo-engine/kumo/engine/_manifest.py index 731284bd7..57e4efb52 100644 --- a/packages/kumo-engine/kumo/engine/_manifest.py +++ b/packages/kumo-engine/kumo/engine/_manifest.py @@ -15,7 +15,6 @@ def atomic_write(path: Path, payload: bytes) -> None: - """Replace one metadata file without exposing partial JSON.""" temporary = None try: with tempfile.NamedTemporaryFile(dir=path.parent, @@ -94,7 +93,6 @@ def _flatten(value: Mapping[str, Any], prefix: str = '') -> Dict[str, Any]: def diff_manifests(a: Mapping[str, Any], b: Mapping[str, Any]) -> Dict[str, Tuple[Any, Any]]: - """Return ``{dotted_key: (a_value, b_value)}`` for every differing key.""" left, right = _flatten(a), _flatten(b) return { key: (left.get(key), right.get(key)) diff --git a/packages/kumo-engine/kumo/engine/_provenance.py b/packages/kumo-engine/kumo/engine/_provenance.py index 096a13d89..5cbf5dc6f 100644 --- a/packages/kumo-engine/kumo/engine/_provenance.py +++ b/packages/kumo-engine/kumo/engine/_provenance.py @@ -53,19 +53,8 @@ def environment() -> Dict[str, Optional[str]]: def _context(platform_name: str, job_id: Optional[str], job_run_id: Optional[str]) -> Dict[str, Any]: - return { - 'platform': platform_name, - 'job_id': job_id, - 'job_run_id': job_run_id, - } - - -def _processing_job() -> Optional[Dict[str, Any]]: - try: - config = json.loads(PROCESSING_JOB_CONFIG.read_text()) - except (OSError, ValueError): - return None - return config if isinstance(config, dict) else None + return {'platform': platform_name, 'job_id': job_id, + 'job_run_id': job_run_id} def _detect() -> Optional[Dict[str, Any]]: @@ -73,8 +62,11 @@ def _detect() -> Optional[Dict[str, Any]]: if env.get('TRAINING_JOB_NAME'): return _context('sagemaker', env['TRAINING_JOB_NAME'], env.get('TRAINING_JOB_ARN')) - processing = _processing_job() - if processing is not None and processing.get('ProcessingJobName'): + try: + processing = json.loads(PROCESSING_JOB_CONFIG.read_text()) + except (OSError, ValueError): + processing = None + if isinstance(processing, dict) and processing.get('ProcessingJobName'): return _context('sagemaker', processing['ProcessingJobName'], processing.get('ProcessingJobArn')) service = env.get('SNOWFLAKE_SERVICE_NAME') diff --git a/packages/kumo-engine/kumo/engine/graph.py b/packages/kumo-engine/kumo/engine/graph.py index 3de2a32a1..88a4b6e66 100644 --- a/packages/kumo-engine/kumo/engine/graph.py +++ b/packages/kumo-engine/kumo/engine/graph.py @@ -249,12 +249,7 @@ def _write_snapshot_manifest(result: Any, snapshot_id: str, rows = stats.get('source_rows_by_table', {}) fields = { 'formats': format_versions(), - 'tables': { - alias: { - 'rows': rows.get(alias) - } - for alias in source_tables - }, + 'tables': {a: {'rows': rows.get(a)} for a in source_tables}, 'edges': dict(stats.get('edge_counts', {})), } if not fresh: @@ -561,14 +556,13 @@ def _snapshot_no_lock(self, graph_key: str, persist_dir: Path) \ ) snapshot_id = f'{graph_key}@{data_version[:16]}' - index_path = Path(result.index_path) _write_snapshot_manifest(result, snapshot_id, source_tables, fresh=existing is None) _warn_ingest_data_loss(result, graph_config) return GraphSnapshot( id=snapshot_id, - index_path=index_path, + index_path=Path(result.index_path), graph_config=graph_config, ) finally: diff --git a/packages/kumo-engine/test/test_snapshot_cleanup.py b/packages/kumo-engine/test/test_snapshot_cleanup.py index 06f9c297f..3e2924e93 100644 --- a/packages/kumo-engine/test/test_snapshot_cleanup.py +++ b/packages/kumo-engine/test/test_snapshot_cleanup.py @@ -94,7 +94,6 @@ def prepare_ingest(self, connector, table_name, destination, **kwargs): SimpleNamespace(table_name=name, definition=SimpleNamespace(cols=[], source_table=None), connector=SimpleNamespace( - source_type='LOCAL_FILE', source_backend=source, validate_scratch_dir=lambda path: None, )) diff --git a/packages/kumo-engine/test/test_snapshot_manifest.py b/packages/kumo-engine/test/test_snapshot_manifest.py index 1228cd99f..34525caf5 100644 --- a/packages/kumo-engine/test/test_snapshot_manifest.py +++ b/packages/kumo-engine/test/test_snapshot_manifest.py @@ -66,34 +66,32 @@ def make(events: int | None = None) -> GraphSnapshot: return make -def test_fresh_snapshot_writes_manifest(make_snapshot, tmp_path): - snapshot = make_snapshot(30) - manifest = snapshot.manifest +def test_snapshot_manifest_records_sources_and_diffs(make_snapshot, + tmp_path): + before = make_snapshot(30) + manifest = before.manifest assert manifest['kind'] == 'graph_snapshot' - assert manifest['schema_version'] == 1 - assert manifest['id'] == snapshot.id - assert 'graph_id' not in manifest and 'data_version' not in manifest + assert manifest['id'] == before.id assert manifest['formats'] == format_versions() - sources = manifest['parents']['source_tables'] data = (tmp_path / 'data').resolve() - assert {alias: entry['location'] - for alias, entry in sources.items()} == { + assert {a: e['location'] + for a, e in manifest['parents']['source_tables'].items()} == { 'ents': str(data / 'ents.parquet'), 'events': str(data / 'events.parquet'), } - assert {entry['connector'] for entry in sources.values()} == {'LOCAL_FILE'} - assert all(entry['version'] for entry in sources.values()) assert manifest['tables'] == {'ents': {'rows': 5}, 'events': {'rows': 30}} assert manifest['edges']['events_ENT_ID_to_ents_ID'] == 30 - assert set(manifest['environment']) == { - 'kumo_engine', 'build_commit', 'kumo_core', 'torch', 'python' - } assert manifest['environment']['kumo_engine'] == __version__ assert manifest['scheduler'] is None assert datetime.fromisoformat(manifest['created_at']).tzinfo is not None assert str(tmp_path / 'scratch') not in json.dumps(manifest) + diff = diff_manifests(manifest, make_snapshot(40).manifest) + assert diff['tables.events.rows'] == (30, 40) + assert 'parents.source_tables.events.version' in diff + assert 'parents.source_tables.ents.version' not in diff + def test_index_without_manifest_is_reused_and_backfilled( make_snapshot, monkeypatch): @@ -106,40 +104,13 @@ def test_index_without_manifest_is_reused_and_backfilled( lambda *args: pytest.fail('cached index re-ingested')) reused = make_snapshot() - rebuilt = reused.manifest assert reused == snapshot - assert diff_manifests(original, rebuilt) == { - 'created_at': (original['created_at'], None), - 'reconstructed': (None, True), - **{ - f'{group}.{key}': (value, None) - for group in ('environment', 'formats') - for key, value in original[group].items() if value is not None - }, - } - - -def test_manifest_without_ingest_stats_keeps_identity(tmp_path, no_scheduler): - from kumo.engine.graph import _write_snapshot_manifest - - result = SimpleNamespace(index_path=str(tmp_path), - ingest_stats_path=str(tmp_path / 'missing.json')) - sources = { - 'users': { - 'connector': 'LOCAL_FILE', - 'location': '/data/users.parquet', - 'version': '1' - } - } - _write_snapshot_manifest(result, 'g@d', sources, fresh=True) - - manifest = GraphSnapshot('g@d', tmp_path, {}).manifest - assert manifest['id'] == 'g@d' - assert manifest['parents']['source_tables'] == sources - assert manifest['tables'] == {'users': {'rows': None}} - assert manifest['edges'] == {} - assert manifest['environment'] is not None + changed = diff_manifests(original, reused.manifest) + assert changed['reconstructed'] == (None, True) + assert all(key.split('.')[0] in ('created_at', 'reconstructed', + 'environment', 'formats') + for key in changed) def test_manifest_write_failure_leaves_snapshot_unchanged( @@ -153,46 +124,18 @@ def fail(path, manifest): assert snapshot.manifest is None assert (snapshot.index_path / '_SUCCESS').is_file() - assert snapshot.index_path.name.startswith(snapshot.id.split('@')[1]) - - -def test_appended_rows_show_in_manifest_diff(make_snapshot): - before = make_snapshot(30).manifest - after = make_snapshot(40).manifest - - diff = diff_manifests(before, after) - - assert diff['id'] == (before['id'], after['id']) - version = 'parents.source_tables.events.version' - assert version in diff and diff[version][0] != diff[version][1] - assert diff['tables.events.rows'] == (30, 40) - assert 'parents.source_tables.ents.version' not in diff - assert 'tables.ents.rows' not in diff @pytest.mark.parametrize('env, processing, expected', [ ({}, None, None), - ({ - 'KUMO_SCHEDULER': 'databricks', - 'KUMO_JOB_ID': '11', - 'KUMO_JOB_RUN_ID': '22', - 'TRAINING_JOB_NAME': 'ignored', - }, None, ('databricks', '11', '22')), - ({ - 'KUMO_JOB_RUN_ID': 'run-9', - 'TRAINING_JOB_NAME': 'train-1', - 'TRAINING_JOB_ARN': 'arn:train-1', - }, None, ('sagemaker', 'train-1', 'run-9')), - ({}, { - 'ProcessingJobName': 'proc-1', - 'ProcessingJobArn': 'arn:proc-1', - }, ('sagemaker', 'proc-1', 'arn:proc-1')), - ({ - 'SNOWFLAKE_SERVICE_NAME': 'SCORE_JOB_A1B2C3D4' - }, None, ('snowflake', None, 'SCORE_JOB_A1B2C3D4')), - ({ - 'DATABRICKS_RUNTIME_VERSION': '16.4' - }, None, ('databricks', None, None)), + ({'KUMO_SCHEDULER': 'databricks', 'KUMO_JOB_ID': '11', + 'KUMO_JOB_RUN_ID': '22', 'TRAINING_JOB_NAME': 'ignored'}, None, + ('databricks', '11', '22')), + ({'KUMO_JOB_RUN_ID': 'run-9', 'TRAINING_JOB_NAME': 'train-1'}, None, + ('sagemaker', 'train-1', 'run-9')), + ({}, {'ProcessingJobName': 'proc-1', 'ProcessingJobArn': 'arn:proc-1'}, + ('sagemaker', 'proc-1', 'arn:proc-1')), + ({'SNOWFLAKE_SERVICE_NAME': 'JOB_A1'}, None, ('snowflake', None, 'JOB_A1')), ]) def test_scheduler_context(no_scheduler, env, processing, expected): for name, value in env.items(): @@ -202,41 +145,25 @@ def test_scheduler_context(no_scheduler, env, processing, expected): context = provenance.scheduler_context() - if expected is None: - assert context is None - else: - assert context == dict( - zip(('platform', 'job_id', 'job_run_id'), expected)) - - -def test_manifest_from_a_newer_schema_is_ignored(tmp_path): - snapshot = GraphSnapshot('snapshot', tmp_path, {}) - assert snapshot.manifest is None - - (tmp_path / SNAPSHOT_MANIFEST_FILE).write_text( - json.dumps({ - 'kind': 'graph_snapshot', - 'schema_version': 2 - })) - with pytest.warns(UserWarning, match='schema_version 2'): - assert snapshot.manifest is None + assert context == (expected and dict( + zip(('platform', 'job_id', 'job_run_id'), expected))) - for version in (True, 0): - (tmp_path / SNAPSHOT_MANIFEST_FILE).write_text( - json.dumps({'schema_version': version})) - with pytest.warns(UserWarning, match='schema_version'): - assert snapshot.manifest is None - (tmp_path / SNAPSHOT_MANIFEST_FILE).write_text('{"kind": ') - with pytest.warns(UserWarning, match='unreadable'): - assert snapshot.manifest is None +@pytest.mark.parametrize('content', [ + None, '{"schema_version": 2}', '{"schema_version": true}', '{"kind": ' +]) +def test_unsupported_manifest_is_ignored(tmp_path, content): + if content is not None: + (tmp_path / SNAPSHOT_MANIFEST_FILE).write_text(content) + with pytest.warns(UserWarning): + assert GraphSnapshot('s', tmp_path, {}).manifest is None + else: + assert GraphSnapshot('s', tmp_path, {}).manifest is None @pytest.mark.parametrize('connector, name, sql, location', [ (S3Connector(root_dir='s3://bucket-a/data/'), 'exports/tt/', None, 's3://bucket-a/data/exports/tt'), - (S3Connector(), 's3://bucket-a/exports/tt', None, - 's3://bucket-a/exports/tt'), (SimpleNamespace(config=None, source_backend=None, database='DB', schema_name='SCHEMA'), 'TT', None, 'DB.SCHEMA.TT'), (None, 'synthetic', 'SELECT 1', 'sql:' + diff --git a/packages/kumo-engine/test/test_snapshot_staging_cleanup.py b/packages/kumo-engine/test/test_snapshot_staging_cleanup.py index 806b443fd..ea8abe9c0 100644 --- a/packages/kumo-engine/test/test_snapshot_staging_cleanup.py +++ b/packages/kumo-engine/test/test_snapshot_staging_cleanup.py @@ -20,9 +20,8 @@ def prepare_ingest(connector, table_name, dest_dir, *, dtypes, sql=None): return SimpleNamespace( definition=SimpleNamespace(cols=[], source_table=None), - connector=SimpleNamespace( - source_type='LOCAL_FILE', - source_backend=SimpleNamespace(prepare_ingest=prepare_ingest)), + connector=SimpleNamespace(source_backend=SimpleNamespace( + prepare_ingest=prepare_ingest)), table_name='t', ) From 0ecb465d813082f2a3eb3565ce0ace946bd2f7b9 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 18:22:30 +0000 Subject: [PATCH 011/123] Reuse existing helpers in the snapshot manifest The snapshot manifest carried its own atomic writer, version lookups, a DiskGraph format-version binding, warehouse name formatting and row/edge counts that ingest_stats.json in the same directory already holds. Move the atomic write to kumo_core.io.filesystem.atomic_write_bytes and use it from FilesystemArtifactStore, the prediction manifest storage and the engine manifest writers. Record the engine version via kumo_core.version.get_kumo_version (as model/config.json does) and other packages via installed_distribution_version. Drop format_versions, the manifest's formats/tables/edges and the unused diff helper; expose the counts as GraphSnapshot.counts. Warehouse sessions gain table_location next to the object stores' table_uri. Verified with the snapshot-manifest, trainer-registry, snapshot cleanup, kumo-core artifact/storage and connector source/backend suites. Co-Authored-By: Claude Opus 5.5 --- .../diskgraph/diskgraph-index/src/graph.rs | 4 +- .../python/diskgraph/__init__.py | 2 - .../python/tests/test_format_versions.py | 17 ------ .../diskgraph/diskgraph-pybind/src/lib.rs | 15 +----- .../src/kumo_bigquery/session.py | 5 ++ packages/kumo-core/src/kumo_core/artifacts.py | 35 ++---------- .../kumo-core/src/kumo_core/io/filesystem.py | 32 +++++++++++ .../src/kumo_core/train/_artifact_storage.py | 19 ++----- .../src/kumo_databricks/session.py | 5 ++ packages/kumo-engine/kumo/engine/_manifest.py | 54 ++----------------- .../kumo-engine/kumo/engine/_provenance.py | 30 +++++------ packages/kumo-engine/kumo/engine/graph.py | 47 ++++++++-------- .../kumo-engine/kumo/engine/trainer/_spec.py | 7 ++- .../test/test_snapshot_manifest.py | 53 +++++++++++------- .../kumo-engine/test/test_trainer_registry.py | 6 +-- .../src/kumo_snowflake/session.py | 5 ++ 16 files changed, 139 insertions(+), 197 deletions(-) delete mode 100644 packages/diskgraph/diskgraph-pybind/python/tests/test_format_versions.py diff --git a/packages/diskgraph/diskgraph-index/src/graph.rs b/packages/diskgraph/diskgraph-index/src/graph.rs index b75d64a4f..0fcb6c2cc 100644 --- a/packages/diskgraph/diskgraph-index/src/graph.rs +++ b/packages/diskgraph/diskgraph-index/src/graph.rs @@ -27,9 +27,9 @@ use std::path::{Path, PathBuf}; use std::sync::Arc; const TEMP_META_MAGIC: [u8; 4] = *b"DGTP"; -pub const TEMP_META_VERSION: u8 = 2; +const TEMP_META_VERSION: u8 = 2; pub const INDEX_SHARD_COMMIT_DIR: &str = "_tmp/index_commits"; -pub const INDEX_SHARD_COMMIT_VERSION: u32 = 1; +const INDEX_SHARD_COMMIT_VERSION: u32 = 1; #[derive(Debug, Deserialize, Serialize)] struct IndexShardCommit { diff --git a/packages/diskgraph/diskgraph-pybind/python/diskgraph/__init__.py b/packages/diskgraph/diskgraph-pybind/python/diskgraph/__init__.py index 5e2fbc51e..d157a5b0c 100644 --- a/packages/diskgraph/diskgraph-pybind/python/diskgraph/__init__.py +++ b/packages/diskgraph/diskgraph-pybind/python/diskgraph/__init__.py @@ -40,7 +40,6 @@ verify_snapshot_integrity, has_resumable_ingest, validated_index_resume_progress, - format_versions, compute_col_stats_for_parquet, resolve_temporal, detect_multicat_delimiter, @@ -142,7 +141,6 @@ def __getattr__(name): "verify_snapshot_integrity", "has_resumable_ingest", "validated_index_resume_progress", - "format_versions", "compute_col_stats_for_parquet", "DiskGraphPlanCompiler", "SplitSpec", diff --git a/packages/diskgraph/diskgraph-pybind/python/tests/test_format_versions.py b/packages/diskgraph/diskgraph-pybind/python/tests/test_format_versions.py deleted file mode 100644 index c8f22422f..000000000 --- a/packages/diskgraph/diskgraph-pybind/python/tests/test_format_versions.py +++ /dev/null @@ -1,17 +0,0 @@ -# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. -# All rights reserved. -# SPDX-License-Identifier: Apache-2.0 - -import diskgraph - - -def test_format_versions_names_every_on_disk_format(): - versions = diskgraph.format_versions() - assert set(versions) == { - "layout", - "shard_commit", - "temp_meta", - "ingest_report", - "manifest_schema", - } - assert all(type(value) is int and value > 0 for value in versions.values()) diff --git a/packages/diskgraph/diskgraph-pybind/src/lib.rs b/packages/diskgraph/diskgraph-pybind/src/lib.rs index 14387e8fa..c907055d1 100644 --- a/packages/diskgraph/diskgraph-pybind/src/lib.rs +++ b/packages/diskgraph/diskgraph-pybind/src/lib.rs @@ -45,7 +45,7 @@ create_exception!(diskgraph, DiskgraphSystemError, PyException); // ``_MANIFEST.json``. create_exception!(diskgraph, DiskgraphCorruptionError, PyException); -use std::collections::{BTreeMap, HashMap}; +use std::collections::HashMap; use std::sync::Arc; use std::thread; use tracing::{error, info}; @@ -1567,18 +1567,6 @@ fn validated_index_resume_progress(output_dir: &str) -> PyResult BTreeMap<&'static str, u32> { - BTreeMap::from([ - ("layout", diskgraph_index::layout::LAYOUT_VERSION), - ("shard_commit", diskgraph_index::graph::INDEX_SHARD_COMMIT_VERSION), - ("temp_meta", u32::from(diskgraph_index::graph::TEMP_META_VERSION)), - ("ingest_report", diskgraph_ingest::stats::INGEST_REPORT_VERSION), - ("manifest_schema", diskgraph_ingest::snapshot_mirror::MANIFEST_SCHEMA_VERSION), - ]) -} - #[pymodule] #[pyo3(name = "_c")] fn diskgraph_pybind(m: &Bound<'_, PyModule>) -> PyResult<()> { @@ -1620,7 +1608,6 @@ fn diskgraph_pybind(m: &Bound<'_, PyModule>) -> PyResult<()> { m.add_function(wrap_pyfunction!(verify_snapshot_integrity, m)?)?; m.add_function(wrap_pyfunction!(has_resumable_ingest, m)?)?; m.add_function(wrap_pyfunction!(validated_index_resume_progress, m)?)?; - m.add_function(wrap_pyfunction!(format_versions, m)?)?; m.add_function(wrap_pyfunction!(compute_col_stats_for_parquet, m)?)?; m.add_function(wrap_pyfunction!(col_stats_export::read_col_stats, m)?)?; m.add_function(wrap_pyfunction!(col_stats_export::read_edge_stats, m)?)?; diff --git a/packages/kumo-bigquery/src/kumo_bigquery/session.py b/packages/kumo-bigquery/src/kumo_bigquery/session.py index 36dada9c8..9e5283ab6 100644 --- a/packages/kumo-bigquery/src/kumo_bigquery/session.py +++ b/packages/kumo-bigquery/src/kumo_bigquery/session.py @@ -278,6 +278,11 @@ def _credentials(self, connector: SourceConnector) -> Credentials: _require_credentials(credentials) return credentials + def table_location(self, connector: SourceConnector, + table_name: str) -> str: + """Fully qualified name of ``table_name`` in the connector's target.""" + return _name(connector, table_name) + def _client(self, connector: SourceConnector) -> Any: return _clients.query_client( self._principal(connector), project=_billing_project(connector), diff --git a/packages/kumo-core/src/kumo_core/artifacts.py b/packages/kumo-core/src/kumo_core/artifacts.py index b6e7a49c4..aa1b6fe82 100644 --- a/packages/kumo-core/src/kumo_core/artifacts.py +++ b/packages/kumo-core/src/kumo_core/artifacts.py @@ -15,7 +15,7 @@ from pathlib import Path from typing import Any, ClassVar, Mapping, Protocol, runtime_checkable -from .io.filesystem import local_path +from .io.filesystem import atomic_write_bytes, fsync_directory, local_path from .io.json import load_json, save_json from .manifest import RunManifest, RunPaths @@ -62,36 +62,7 @@ def write_manifest(self, paths: RunPaths, manifest: RunManifest) -> None: ensure_ascii=False, allow_nan=False, ) + "\n" - temporary_path: Path | None = None - try: - with tempfile.NamedTemporaryFile( - mode="w", - encoding="utf-8", - dir=paths.manifest_path.parent, - prefix=f".{paths.manifest_path.name}.", - suffix=".tmp", - delete=False, - ) as temporary: - temporary_path = Path(temporary.name) - temporary.write(payload) - temporary.flush() - os.fsync(temporary.fileno()) - os.replace(temporary_path, paths.manifest_path) - temporary_path = None - self._fsync_directory(paths.manifest_path.parent) - finally: - if temporary_path is not None: - temporary_path.unlink(missing_ok=True) - - @staticmethod - def _fsync_directory(directory: Path) -> None: - if not hasattr(os, "O_DIRECTORY"): - return - descriptor = os.open(directory, os.O_RDONLY | os.O_DIRECTORY) - try: - os.fsync(descriptor) - finally: - os.close(descriptor) + atomic_write_bytes(paths.manifest_path, payload.encode("utf-8")) @dataclass(frozen=True) @@ -258,7 +229,7 @@ def publish( encoding="utf-8", ) os.replace(staging, destination) - FilesystemArtifactStore._fsync_directory(destination.parent) + fsync_directory(destination.parent) return publication finally: if staging.exists(): diff --git a/packages/kumo-core/src/kumo_core/io/filesystem.py b/packages/kumo-core/src/kumo_core/io/filesystem.py index 7ac2de5be..c8c227148 100644 --- a/packages/kumo-core/src/kumo_core/io/filesystem.py +++ b/packages/kumo-core/src/kumo_core/io/filesystem.py @@ -7,6 +7,7 @@ import os import shutil +import tempfile from collections.abc import Callable from pathlib import Path, PurePosixPath from typing import Any @@ -85,6 +86,37 @@ def local_path(path: str) -> Path: return Path(fs_path) +def fsync_directory(directory: str | Path) -> None: + if not hasattr(os, "O_DIRECTORY"): + return + descriptor = os.open(directory, os.O_RDONLY | os.O_DIRECTORY) + try: + os.fsync(descriptor) + finally: + os.close(descriptor) + + +def atomic_write_bytes(path: str | Path, payload: bytes) -> None: + """Replace a local file so readers see the old or the new bytes.""" + path = Path(path) + temporary: Path | None = None + try: + with tempfile.NamedTemporaryFile(dir=path.parent, + prefix=f".{path.name}.", + suffix=".tmp", + delete=False) as out: + temporary = Path(out.name) + out.write(payload) + out.flush() + os.fsync(out.fileno()) + os.replace(temporary, path) + temporary = None + fsync_directory(path.parent) + finally: + if temporary is not None: + temporary.unlink(missing_ok=True) + + def listdir(path: str) -> list[str]: fs, fs_path = _resolve(path) return [fs.unstrip_protocol(item) for item in fs.ls(fs_path, detail=False)] diff --git a/packages/kumo-core/src/kumo_core/train/_artifact_storage.py b/packages/kumo-core/src/kumo_core/train/_artifact_storage.py index 6e6cc5ebd..06153d6f7 100644 --- a/packages/kumo-core/src/kumo_core/train/_artifact_storage.py +++ b/packages/kumo-core/src/kumo_core/train/_artifact_storage.py @@ -16,6 +16,8 @@ from pathlib import Path from typing import Any, Callable +from kumo_core.io.filesystem import atomic_write_bytes, fsync_directory + class _LocalFiles: @staticmethod @@ -54,7 +56,7 @@ def write_text_if_absent(path, text): os.link(temporary, path) except FileExistsError: return False - _fsync_directory(Path(path).parent) + fsync_directory(Path(path).parent) return True @@ -74,20 +76,9 @@ def _temporary_text(path, text): os.unlink(temporary) -def _fsync_directory(directory): - if not hasattr(os, "O_DIRECTORY"): - return - descriptor = os.open(directory, os.O_RDONLY | os.O_DIRECTORY) - try: - os.fsync(descriptor) - finally: - os.close(descriptor) - - def _save_json_atomic(value, path): - with _temporary_text(path, json.dumps(value, indent=2)) as temporary: - os.replace(temporary, path) - _fsync_directory(Path(path).parent) + Path(path).parent.mkdir(parents=True, exist_ok=True) + atomic_write_bytes(path, json.dumps(value, indent=2).encode('utf-8')) @dataclass(frozen=True) diff --git a/packages/kumo-databricks/src/kumo_databricks/session.py b/packages/kumo-databricks/src/kumo_databricks/session.py index af5a9209e..b274cd234 100644 --- a/packages/kumo-databricks/src/kumo_databricks/session.py +++ b/packages/kumo-databricks/src/kumo_databricks/session.py @@ -194,6 +194,11 @@ def _principal(self, connector: SourceConnector) -> Principal: f'accepted, as {self._default_hint}.'), ) + def table_location(self, connector: SourceConnector, + table_name: str) -> str: + """Fully qualified name of ``table_name`` in the connector's target.""" + return self._qualified(connector, self._bare(connector, table_name)) + @staticmethod def _qualified(connector: SourceConnector, table_name: Optional[str] = None) -> str: diff --git a/packages/kumo-engine/kumo/engine/_manifest.py b/packages/kumo-engine/kumo/engine/_manifest.py index 57e4efb52..ca75b7dcb 100644 --- a/packages/kumo-engine/kumo/engine/_manifest.py +++ b/packages/kumo-engine/kumo/engine/_manifest.py @@ -4,37 +4,14 @@ """Shared JSON manifest format for engine artifacts.""" import json -import os -import tempfile import warnings from datetime import datetime, timezone from pathlib import Path -from typing import Any, Dict, Mapping, Optional, Tuple - -SCHEMA_VERSION = 1 +from typing import Any, Dict, Mapping, Optional +from kumo_core.io.filesystem import atomic_write_bytes -def atomic_write(path: Path, payload: bytes) -> None: - temporary = None - try: - with tempfile.NamedTemporaryFile(dir=path.parent, - prefix=f'.{path.name}.', - delete=False) as out: - temporary = Path(out.name) - out.write(payload) - out.flush() - os.fsync(out.fileno()) - os.replace(temporary, path) - temporary = None - if hasattr(os, 'O_DIRECTORY'): - descriptor = os.open(path.parent, os.O_RDONLY | os.O_DIRECTORY) - try: - os.fsync(descriptor) - finally: - os.close(descriptor) - finally: - if temporary is not None: - temporary.unlink(missing_ok=True) +SCHEMA_VERSION = 1 def new_manifest(kind: str, id: str, parents: Mapping[str, Any], @@ -54,8 +31,8 @@ def new_manifest(kind: str, id: str, parents: Mapping[str, Any], def write_manifest(path: Path, manifest: Mapping[str, Any]) -> None: - atomic_write(path, (json.dumps(manifest, indent=2, sort_keys=True) + - '\n').encode('utf-8')) + payload = json.dumps(manifest, indent=2, sort_keys=True) + '\n' + atomic_write_bytes(path, payload.encode('utf-8')) def read_manifest(path: Path) -> Optional[Dict[str, Any]]: @@ -78,24 +55,3 @@ def read_manifest(path: Path) -> Optional[Dict[str, Any]]: ) return None return manifest - - -def _flatten(value: Mapping[str, Any], prefix: str = '') -> Dict[str, Any]: - flat: Dict[str, Any] = {} - for key, item in value.items(): - name = f'{prefix}{key}' - if isinstance(item, Mapping) and item: - flat.update(_flatten(item, f'{name}.')) - elif item is not None: - flat[name] = item - return flat - - -def diff_manifests(a: Mapping[str, Any], - b: Mapping[str, Any]) -> Dict[str, Tuple[Any, Any]]: - left, right = _flatten(a), _flatten(b) - return { - key: (left.get(key), right.get(key)) - for key in sorted(left.keys() | right.keys()) - if key not in left or key not in right or left[key] != right[key] - } diff --git a/packages/kumo-engine/kumo/engine/_provenance.py b/packages/kumo-engine/kumo/engine/_provenance.py index 5cbf5dc6f..9aab73b96 100644 --- a/packages/kumo-engine/kumo/engine/_provenance.py +++ b/packages/kumo-engine/kumo/engine/_provenance.py @@ -10,20 +10,12 @@ import subprocess import warnings from functools import cache -from importlib import metadata from pathlib import Path from typing import Any, Dict, Optional PROCESSING_JOB_CONFIG = Path('/opt/ml/config/processingjobconfig.json') -def _version(distribution: str) -> Optional[str]: - try: - return metadata.version(distribution) - except metadata.PackageNotFoundError: - return None - - @cache def _build_commit(version: str) -> Optional[str]: if '+' in version: @@ -40,13 +32,18 @@ def _build_commit(version: str) -> Optional[str]: def environment() -> Dict[str, Optional[str]]: + from kumo_core.version import ( + get_kumo_version, + installed_distribution_version, + ) + from kumo.engine._version import __version__ return { - 'kumo_engine': __version__, + 'kumo_engine': get_kumo_version(), 'build_commit': _build_commit(__version__), - 'kumo_core': _version('kumo-core'), - 'torch': _version('torch'), + 'kumo_core': installed_distribution_version('kumo-core'), + 'torch': installed_distribution_version('torch'), 'python': platform.python_version(), } @@ -100,13 +97,10 @@ def source_location(connector: Any, table_name: str, root = getattr(connector.config, 'root_dir', None) if root is not None: return str(Path(root, table_name)) - table_uri = getattr(connector.source_backend, 'table_uri', None) - if table_uri is not None: - return table_uri(connector, table_name) - namespace = (getattr(connector, field, None) - for field in ('database', 'catalog', 'project_id', - 'schema_name', 'dataset_id')) - return '.'.join([*filter(None, namespace), table_name]) + backend = connector.source_backend + locate = (getattr(backend, 'table_uri', None) + or getattr(backend, 'table_location', None)) + return table_name if locate is None else locate(connector, table_name) def source_table(connector: Any, table_name: str, sql: Optional[str], diff --git a/packages/kumo-engine/kumo/engine/graph.py b/packages/kumo-engine/kumo/engine/graph.py index 88a4b6e66..cfbfb5806 100644 --- a/packages/kumo-engine/kumo/engine/graph.py +++ b/packages/kumo-engine/kumo/engine/graph.py @@ -128,6 +128,14 @@ def _warn_low_fk_match_rates(stats: Dict[str, Any], ) +def _ingest_stats(path: Any) -> Dict[str, Any]: + try: + stats = json.loads(Path(path).read_text())['stats'] + except (OSError, ValueError, KeyError, TypeError): + return {} + return stats if isinstance(stats, dict) else {} + + def _warn_ingest_data_loss(result: Any, graph_config: Dict[str, Any]) -> None: from kumo_core.diskgraph.validation import parse_failure_warning @@ -151,10 +159,8 @@ def _warn_ingest_data_loss(result: Any, graph_config: Dict[str, Any]) -> None: warnings.warn(parse_failure_warning(name, column, count), UserWarning, stacklevel=3) - try: - report = json.loads(Path(result.ingest_stats_path).read_text()) - stats = report['stats'] - except (AttributeError, OSError, ValueError, KeyError, TypeError): + stats = _ingest_stats(getattr(result, 'ingest_stats_path', None)) + if not stats: return tables = {table['table_name']: table for table in graph_config['tables']} duplicates: Dict[str, int] = {} @@ -226,14 +232,17 @@ def manifest(self) -> Dict[str, Any] | None: """The snapshot manifest stored next to the index, if any.""" return read_manifest(Path(self.index_path) / SNAPSHOT_MANIFEST_FILE) - -def _ingest_stats(result: Any) -> Dict[str, Any]: - try: - stats = json.loads(Path( - result.ingest_stats_path).read_text()).get('stats') - except (AttributeError, OSError, TypeError, ValueError): - return {} - return stats if isinstance(stats, dict) else {} + @property + def counts(self) -> Dict[str, Dict[str, int]]: + """Source rows per table and edges per edge type in this index.""" + from kumo_core.diskgraph.snapshot import DiskgraphIngestResult + + stats = _ingest_stats( + DiskgraphIngestResult.for_index(self.index_path).ingest_stats_path) + return { + 'rows': dict(stats.get('source_rows_by_table', {})), + 'edges': dict(stats.get('edge_counts', {})), + } def _write_snapshot_manifest(result: Any, snapshot_id: str, @@ -243,18 +252,8 @@ def _write_snapshot_manifest(result: Any, snapshot_id: str, if not fresh and path.exists(): return try: - from diskgraph import format_versions - - stats = _ingest_stats(result) - rows = stats.get('source_rows_by_table', {}) - fields = { - 'formats': format_versions(), - 'tables': {a: {'rows': rows.get(a)} for a in source_tables}, - 'edges': dict(stats.get('edge_counts', {})), - } - if not fresh: - fields.update(created_at=None, environment=None, scheduler=None, - formats=None, reconstructed=True) + fields = {} if fresh else dict(created_at=None, environment=None, + scheduler=None, reconstructed=True) write_manifest( path, new_manifest('graph_snapshot', snapshot_id, diff --git a/packages/kumo-engine/kumo/engine/trainer/_spec.py b/packages/kumo-engine/kumo/engine/trainer/_spec.py index 21cefcce4..147817c0e 100644 --- a/packages/kumo-engine/kumo/engine/trainer/_spec.py +++ b/packages/kumo-engine/kumo/engine/trainer/_spec.py @@ -15,10 +15,9 @@ from pathlib import Path from typing import Any, Dict +from kumo_core.io.filesystem import atomic_write_bytes from kumoapi.model_plan import ModelPlan, TrainingTableGenerationPlan -from kumo.engine._manifest import atomic_write - #: Bundle metadata filename and schema version. SPEC_FILE = 'training-spec.json' SPEC_VERSION = 1 @@ -71,7 +70,7 @@ def write_training_spec( training_table_generation=to_json_dict(training_table_generation), ) spec_path = bundle_dir / SPEC_FILE - atomic_write( + atomic_write_bytes( spec_path, (json.dumps(asdict(spec), indent=2, sort_keys=True) + '\n').encode('utf-8'), @@ -89,7 +88,7 @@ def write_training_spec( 'size_bytes': spec_path.stat().st_size, 'sha256': _sha256(spec_path), }] - atomic_write( + atomic_write_bytes( manifest_path, (json.dumps(manifest, indent=2, sort_keys=True) + '\n').encode('utf-8'), ) diff --git a/packages/kumo-engine/test/test_snapshot_manifest.py b/packages/kumo-engine/test/test_snapshot_manifest.py index 34525caf5..92c55d555 100644 --- a/packages/kumo-engine/test/test_snapshot_manifest.py +++ b/packages/kumo-engine/test/test_snapshot_manifest.py @@ -11,13 +11,21 @@ import numpy as np import pandas as pd import pytest -from diskgraph import format_versions +from kumo_core.version import get_kumo_version from kumoapi.graph import Edge from kumoapi.typing import Stype import kumo.engine._provenance as provenance -from kumo.engine import FileConnector, Graph, S3Connector, Table, __version__ -from kumo.engine._manifest import diff_manifests +from kumo.engine import ( + BigQueryConnector, + DatabricksConnector, + FileConnector, + Graph, + S3Connector, + SnowflakeConnector, + Table, +) +from kumo.engine.connector.identity import DatabricksIdentity from kumo.engine.graph import SNAPSHOT_MANIFEST_FILE, GraphSnapshot _SCHEDULER_ENV = ('KUMO_SCHEDULER', 'KUMO_JOB_ID', 'KUMO_JOB_RUN_ID', @@ -73,24 +81,26 @@ def test_snapshot_manifest_records_sources_and_diffs(make_snapshot, assert manifest['kind'] == 'graph_snapshot' assert manifest['id'] == before.id - assert manifest['formats'] == format_versions() data = (tmp_path / 'data').resolve() assert {a: e['location'] for a, e in manifest['parents']['source_tables'].items()} == { 'ents': str(data / 'ents.parquet'), 'events': str(data / 'events.parquet'), } - assert manifest['tables'] == {'ents': {'rows': 5}, 'events': {'rows': 30}} - assert manifest['edges']['events_ENT_ID_to_ents_ID'] == 30 - assert manifest['environment']['kumo_engine'] == __version__ + assert 'tables' not in manifest and 'edges' not in manifest + assert before.counts['rows'] == {'ents': 5, 'events': 30} + assert before.counts['edges']['events_ENT_ID_to_ents_ID'] == 30 + assert manifest['environment']['kumo_engine'] == get_kumo_version() assert manifest['scheduler'] is None assert datetime.fromisoformat(manifest['created_at']).tzinfo is not None assert str(tmp_path / 'scratch') not in json.dumps(manifest) - diff = diff_manifests(manifest, make_snapshot(40).manifest) - assert diff['tables.events.rows'] == (30, 40) - assert 'parents.source_tables.events.version' in diff - assert 'parents.source_tables.ents.version' not in diff + after = make_snapshot(40) + assert after.counts['rows']['events'] == 40 + sources = manifest['parents']['source_tables'] + new_sources = after.manifest['parents']['source_tables'] + assert new_sources['ents'] == sources['ents'] + assert new_sources['events']['version'] != sources['events']['version'] def test_index_without_manifest_is_reused_and_backfilled( @@ -106,11 +116,10 @@ def test_index_without_manifest_is_reused_and_backfilled( reused = make_snapshot() assert reused == snapshot - changed = diff_manifests(original, reused.manifest) - assert changed['reconstructed'] == (None, True) - assert all(key.split('.')[0] in ('created_at', 'reconstructed', - 'environment', 'formats') - for key in changed) + assert reused.manifest == { + **original, 'created_at': None, 'environment': None, + 'scheduler': None, 'reconstructed': True + } def test_manifest_write_failure_leaves_snapshot_unchanged( @@ -164,8 +173,16 @@ def test_unsupported_manifest_is_ignored(tmp_path, content): @pytest.mark.parametrize('connector, name, sql, location', [ (S3Connector(root_dir='s3://bucket-a/data/'), 'exports/tt/', None, 's3://bucket-a/data/exports/tt'), - (SimpleNamespace(config=None, source_backend=None, database='DB', - schema_name='SCHEMA'), 'TT', None, 'DB.SCHEMA.TT'), + (SnowflakeConnector(warehouse='wh', database='db', schema_name='sch'), + 'TT', None, '"DB"."SCH"."TT"'), + (DatabricksConnector( + catalog='cat', schema_name='sch', warehouse_id='w', + identity=DatabricksIdentity(host='https://workspace.example.com', + client_id='c', client_secret='s')), + 'cat.sch.tt', None, '`cat`.`sch`.`tt`'), + (BigQueryConnector(project_id='data-project', dataset_id='analytics'), + 'tt', None, 'data-project.analytics.tt'), + (SimpleNamespace(config=None, source_backend=None), 'TT', None, 'TT'), (None, 'synthetic', 'SELECT 1', 'sql:' + hashlib.sha256(b'SELECT 1').hexdigest()), ]) diff --git a/packages/kumo-engine/test/test_trainer_registry.py b/packages/kumo-engine/test/test_trainer_registry.py index 2fce1ff96..9736054bc 100644 --- a/packages/kumo-engine/test/test_trainer_registry.py +++ b/packages/kumo-engine/test/test_trainer_registry.py @@ -141,11 +141,11 @@ def test_write_then_read_training_spec_round_trips(tmp_path: Path) -> None: def test_training_spec_manifest_update_is_atomic_and_retryable( tmp_path: Path, monkeypatch) -> None: - import kumo.engine._manifest as manifest_module + import kumo_core.io.filesystem as fs_module bundle = _fake_published_bundle(tmp_path) original_manifest = (bundle / MANIFEST_FILE).read_bytes() - real_replace = manifest_module.os.replace + real_replace = fs_module.os.replace failed = False def fail_first_manifest_replace(source, destination): @@ -155,7 +155,7 @@ def fail_first_manifest_replace(source, destination): raise OSError('simulated interrupted manifest commit') return real_replace(source, destination) - monkeypatch.setattr(manifest_module.os, 'replace', fail_first_manifest_replace) + monkeypatch.setattr(fs_module.os, 'replace', fail_first_manifest_replace) with pytest.raises(OSError, match='interrupted manifest commit'): write_training_spec(bundle, predictive_query='PREDICT COUNT(*)', model_plan=ModelPlan(), snapshot_id='snap-123', diff --git a/packages/kumo-snowflake/src/kumo_snowflake/session.py b/packages/kumo-snowflake/src/kumo_snowflake/session.py index 0e237c868..a896821df 100644 --- a/packages/kumo-snowflake/src/kumo_snowflake/session.py +++ b/packages/kumo-snowflake/src/kumo_snowflake/session.py @@ -461,6 +461,11 @@ def _principal(self, connector: SourceConnector) -> Principal: f'accepted, as {self._default_hint}.'), ) + def table_location(self, connector: SourceConnector, + table_name: str) -> str: + """Fully qualified name of ``table_name`` in the connector's target.""" + return self._qualified(connector, table_name) + @staticmethod def _qualified(connector: SourceConnector, table_name: str) -> str: return (f'{_quoted(resolved(_target_config(connector).database))}.' From 2552bc16e94b9c0e3962329b3c8602081ddf160e Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 21:00:28 +0000 Subject: [PATCH 012/123] Record DiskGraph's version and build commit in manifests Manifests recorded the engine, kumo-core and torch versions but not the DiskGraph build that wrote the index, so two builds with the same format constants could not be told apart. The pybind build stamps the git commit (DISKGRAPH_BUILD_COMMIT overrides it; "unknown" without git) and exposes diskgraph.__version__ and diskgraph.BUILD_COMMIT. environment() records both, or null for an older extension. Verified with the diskgraph export test and the snapshot manifest tests. Co-Authored-By: Claude Opus 5.5 --- packages/diskgraph/diskgraph-pybind/build.rs | 29 +++++++++++++++++ .../python/diskgraph/__init__.py | 2 ++ .../python/tests/test_exception_exports.py | 5 +++ .../diskgraph/diskgraph-pybind/src/lib.rs | 2 ++ .../kumo-engine/kumo/engine/_provenance.py | 32 +++++++++++++++---- 5 files changed, 64 insertions(+), 6 deletions(-) diff --git a/packages/diskgraph/diskgraph-pybind/build.rs b/packages/diskgraph/diskgraph-pybind/build.rs index 9bd833888..9b3c22cf0 100644 --- a/packages/diskgraph/diskgraph-pybind/build.rs +++ b/packages/diskgraph/diskgraph-pybind/build.rs @@ -9,8 +9,37 @@ mod native_cpu_guard { )); } +fn build_commit() -> String { + println!("cargo:rerun-if-env-changed=DISKGRAPH_BUILD_COMMIT"); + if let Ok(commit) = std::env::var("DISKGRAPH_BUILD_COMMIT") { + return commit; + } + let git = |args: &[&str]| { + std::process::Command::new("git") + .args(args) + .output() + .ok() + .filter(|out| out.status.success()) + .map(|out| String::from_utf8_lossy(&out.stdout).trim().to_owned()) + .filter(|out| !out.is_empty()) + }; + for name in ["HEAD", "packed-refs"] { + if let Some(path) = git(&["rev-parse", "--git-path", name]) { + println!("cargo:rerun-if-changed={path}"); + } + } + if let Some(head) = git(&["symbolic-ref", "-q", "HEAD"]) { + if let Some(path) = git(&["rev-parse", "--git-path", &head]) { + println!("cargo:rerun-if-changed={path}"); + } + } + git(&["rev-parse", "--short=12", "HEAD"]).unwrap_or_else(|| "unknown".into()) +} + fn main() { pyo3_build_config::use_pyo3_cfgs(); + println!("cargo:rerun-if-changed=build.rs"); + println!("cargo:rustc-env=DISKGRAPH_BUILD_COMMIT={}", build_commit()); if std::env::var_os("CARGO_FEATURE_EXTENSION_MODULE").is_some() { native_cpu_guard::reject_native_cpu_build("diskgraph Python extension"); diff --git a/packages/diskgraph/diskgraph-pybind/python/diskgraph/__init__.py b/packages/diskgraph/diskgraph-pybind/python/diskgraph/__init__.py index d157a5b0c..548081716 100644 --- a/packages/diskgraph/diskgraph-pybind/python/diskgraph/__init__.py +++ b/packages/diskgraph/diskgraph-pybind/python/diskgraph/__init__.py @@ -3,6 +3,8 @@ # SPDX-License-Identifier: Apache-2.0 from ._c import ( + __version__, + BUILD_COMMIT, export_tt_artifacts, convert_kumo_config, ingest, diff --git a/packages/diskgraph/diskgraph-pybind/python/tests/test_exception_exports.py b/packages/diskgraph/diskgraph-pybind/python/tests/test_exception_exports.py index 7744976d2..aa4eca8e9 100644 --- a/packages/diskgraph/diskgraph-pybind/python/tests/test_exception_exports.py +++ b/packages/diskgraph/diskgraph-pybind/python/tests/test_exception_exports.py @@ -11,3 +11,8 @@ def test_public_corruption_error_catches_snapshot_verifier(tmp_path): with pytest.raises(diskgraph.DiskgraphCorruptionError): diskgraph.verify_snapshot_integrity(str(tmp_path)) + + +def test_build_identity_is_exported(): + assert diskgraph.__version__ + assert diskgraph.BUILD_COMMIT diff --git a/packages/diskgraph/diskgraph-pybind/src/lib.rs b/packages/diskgraph/diskgraph-pybind/src/lib.rs index c907055d1..e02bda485 100644 --- a/packages/diskgraph/diskgraph-pybind/src/lib.rs +++ b/packages/diskgraph/diskgraph-pybind/src/lib.rs @@ -1593,6 +1593,8 @@ fn diskgraph_pybind(m: &Bound<'_, PyModule>) -> PyResult<()> { "DiskgraphCorruptionError", m.py().get_type::(), )?; + m.add("__version__", env!("CARGO_PKG_VERSION"))?; + m.add("BUILD_COMMIT", env!("DISKGRAPH_BUILD_COMMIT"))?; m.add_function(wrap_pyfunction!(export_tt_artifacts, m)?)?; m.add_function(wrap_pyfunction!(convert_kumo_config, m)?)?; m.add_function(wrap_pyfunction!(ingest, m)?)?; diff --git a/packages/kumo-engine/kumo/engine/_provenance.py b/packages/kumo-engine/kumo/engine/_provenance.py index 9aab73b96..e4ecdfd4f 100644 --- a/packages/kumo-engine/kumo/engine/_provenance.py +++ b/packages/kumo-engine/kumo/engine/_provenance.py @@ -31,6 +31,14 @@ def _build_commit(version: str) -> Optional[str]: return None +def _diskgraph() -> Any: + try: + import diskgraph + return diskgraph + except ImportError: + return None + + def environment() -> Dict[str, Optional[str]]: from kumo_core.version import ( get_kumo_version, @@ -39,10 +47,13 @@ def environment() -> Dict[str, Optional[str]]: from kumo.engine._version import __version__ + diskgraph = _diskgraph() return { 'kumo_engine': get_kumo_version(), 'build_commit': _build_commit(__version__), 'kumo_core': installed_distribution_version('kumo-core'), + 'diskgraph': getattr(diskgraph, '__version__', None), + 'diskgraph_build_commit': getattr(diskgraph, 'BUILD_COMMIT', None), 'torch': installed_distribution_version('torch'), 'python': platform.python_version(), } @@ -94,9 +105,6 @@ def source_location(connector: Any, table_name: str, sql: Optional[str] = None) -> str: if sql is not None: return 'sql:' + hashlib.sha256(sql.encode()).hexdigest() - root = getattr(connector.config, 'root_dir', None) - if root is not None: - return str(Path(root, table_name)) backend = connector.source_backend locate = (getattr(backend, 'table_uri', None) or getattr(backend, 'table_location', None)) @@ -104,16 +112,28 @@ def source_location(connector: Any, table_name: str, def source_table(connector: Any, table_name: str, sql: Optional[str], - version: Any) -> Dict[str, Optional[str]]: - entry: Dict[str, Optional[str]] = { + version: Any, *, + record_locations: bool = True) -> Dict[str, Any]: + from kumo_core.sources.identity import version_kind + + entry: Dict[str, Any] = { 'connector': None, 'location': None, 'version': None if version is None else str(version), + 'version_kind': version_kind(version), } + dependencies = getattr(version, 'dependencies', None) + if dependencies is not None: + entry['dependencies'] = { + name: str(value) + for name, value in dependencies.items() + } try: kind = connector.source_type entry['connector'] = str(getattr(kind, 'value', kind)) - entry['location'] = source_location(connector, table_name, sql) + entry['location'] = (source_location(connector, table_name, sql) + if record_locations or sql is not None else + table_name) except Exception as error: warnings.warn(f"Could not record a source table's location: {error}", UserWarning, stacklevel=3) From 8b16cd1c18d359c06d07a9e967b65ae3f16466ab Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 21:00:28 +0000 Subject: [PATCH 013/123] Type source versions and allow location-free snapshot manifests Lineage could not tell an exact source version from a modification time or an hour bucket, Custom SQL kept only its folded hash, and every manifest recorded full source locations. Connectors now return versions tagged exact, timestamp, hour_bucket or unknown, and Custom SQL versions keep the dependency versions they fold. Each source table entry records version_kind (and dependencies for SQL). Graph.snapshot(record_locations=False) records connector and table name only; a reused index's manifest is rewritten when the choice changes. Snowflake locations carry the account; object-store URIs keep their percent-encoding; file locations name the resolved file. Verified with the snapshot manifest and connector identity tests. Co-Authored-By: Claude Opus 5.5 --- .../src/kumo_bigquery/identity.py | 10 +++- packages/kumo-bigquery/tests/test_identity.py | 3 + .../src/kumo_core/sources/identity.py | 35 ++++++++++-- .../src/kumo_core/sources/object_store.py | 8 ++- .../kumo_core/sources/object_store_backend.py | 2 +- .../sources/object_store_sessions.py | 11 +++- .../tests/sources/unit/test_sql_identity.py | 6 ++ .../src/kumo_databricks/identity.py | 8 ++- .../kumo-databricks/tests/test_identity.py | 2 + .../kumo-engine/kumo/engine/connector/file.py | 5 ++ packages/kumo-engine/kumo/engine/graph.py | 55 ++++++++++++------ .../test/test_snapshot_manifest.py | 56 +++++++++++++++++-- .../src/kumo_snowflake/identity.py | 9 ++- .../src/kumo_snowflake/session.py | 9 ++- .../kumo-snowflake/tests/test_identity.py | 2 + 15 files changed, 176 insertions(+), 45 deletions(-) diff --git a/packages/kumo-bigquery/src/kumo_bigquery/identity.py b/packages/kumo-bigquery/src/kumo_bigquery/identity.py index dede046ed..d22d8aada 100644 --- a/packages/kumo-bigquery/src/kumo_bigquery/identity.py +++ b/packages/kumo-bigquery/src/kumo_bigquery/identity.py @@ -6,7 +6,11 @@ from typing import Any -from kumo_core.sources.identity import epoch_second, hour_version +from kumo_core.sources.identity import ( + SourceVersion, + epoch_second, + hour_version, +) LOGICAL_VIEW = "VIEW" UNDATED_VERSION = "-1" @@ -23,8 +27,8 @@ def stamp(table: Any) -> str: if is_logical_view(table): return hour_version() if table.modified is None: - return UNDATED_VERSION - return epoch_second(table.modified) + return SourceVersion(UNDATED_VERSION) + return SourceVersion(epoch_second(table.modified), "timestamp") def data_version(client: Any, fqn: str) -> str: diff --git a/packages/kumo-bigquery/tests/test_identity.py b/packages/kumo-bigquery/tests/test_identity.py index 28d98fc1d..82f74bbc2 100644 --- a/packages/kumo-bigquery/tests/test_identity.py +++ b/packages/kumo-bigquery/tests/test_identity.py @@ -20,6 +20,7 @@ def stamp(**overrides): def test_a_physical_table_is_dated_by_the_time_it_was_modified(): """A version carrying `.0` is a different path segment and a different key.""" assert stamp() == MODIFIED_VERSION + assert stamp().kind == "timestamp" assert stamp(modified=MODIFIED.replace( microsecond=900000)) == (MODIFIED_VERSION) assert stamp( @@ -28,6 +29,7 @@ def test_a_physical_table_is_dated_by_the_time_it_was_modified(): def test_a_logical_view_falls_back_to_the_hour_window(): assert stamp(table_type="VIEW") == hour_version() + assert stamp(table_type="VIEW").kind == "hour_bucket" @pytest.mark.parametrize("table_type", @@ -39,6 +41,7 @@ def test_only_the_exact_view_type_falls_back(table_type): def test_a_table_without_a_modification_time_is_reported_undated(): assert stamp(modified=None) == "-1" + assert stamp(modified=None).kind == "unknown" def test_the_stamp_reads_the_catalog_and_scans_nothing(): diff --git a/packages/kumo-core/src/kumo_core/sources/identity.py b/packages/kumo-core/src/kumo_core/sources/identity.py index ac69d6b92..989fd6629 100644 --- a/packages/kumo-core/src/kumo_core/sources/identity.py +++ b/packages/kumo-core/src/kumo_core/sources/identity.py @@ -20,6 +20,26 @@ CUSTOM_SQL_MAX_STALENESS_HOURS = 24 +class SourceVersion(str): + """A version string that also says what kind of evidence it is: + ``exact``, ``timestamp``, ``hour_bucket`` or ``unknown``.""" + + kind: str + dependencies: Mapping[str, str] | None + + def __new__(cls, value: str, kind: str = "unknown", + dependencies: Mapping[str, str] | None = None + ) -> "SourceVersion": + version = super().__new__(cls, value) + version.kind = kind + version.dependencies = dependencies + return version + + +def version_kind(version: object) -> str: + return getattr(version, "kind", "unknown") + + def epoch_second(moment: datetime) -> str: """Truncated by string rather than through ``int``: the two disagree just below the epoch, and this value is a raw path segment.""" @@ -29,8 +49,10 @@ def epoch_second(moment: datetime) -> str: def hour_version() -> str: """Fallback for a source with no readable version; it expires itself rather than needing invalidation.""" - return epoch_second( - datetime.now(timezone.utc).replace(minute=0, second=0, microsecond=0)) + return SourceVersion( + epoch_second( + datetime.now(timezone.utc).replace(minute=0, second=0, + microsecond=0)), "hour_bucket") def sql_data_version( @@ -83,10 +105,11 @@ def sql_data_version( versions[leaf] = _indeterminate() else: versions[leaf] = str(stamped) - return custom_sql_data_version( - sql, connector_type, versions, cols or {}, - max_staleness_bucket=int(time()) // - (CUSTOM_SQL_MAX_STALENESS_HOURS * 3600)) + return SourceVersion( + custom_sql_data_version( + sql, connector_type, versions, cols or {}, + max_staleness_bucket=int(time()) // + (CUSTOM_SQL_MAX_STALENESS_HOURS * 3600)), "hour_bucket", versions) #: The prefix every sentinel carries, so one can be recognized without being diff --git a/packages/kumo-core/src/kumo_core/sources/object_store.py b/packages/kumo-core/src/kumo_core/sources/object_store.py index 4b7ac0a37..09c11a32b 100644 --- a/packages/kumo-core/src/kumo_core/sources/object_store.py +++ b/packages/kumo-core/src/kumo_core/sources/object_store.py @@ -52,7 +52,7 @@ TransientSourceError, UnsupportedReadModeError, ) -from .identity import epoch_second +from .identity import SourceVersion, epoch_second from .object_store_access import ObjectFetch, ObjectIdentity from .parallel import run_in_parallel from .prepare import ReadOutput, run_prepare @@ -101,14 +101,16 @@ def _source_version(path: str, entries: Sequence[Any]) -> str: if len(entries) == 1 and entries[0].path.rstrip("/") == path.rstrip("/"): latest = entries[0].mtime - return epoch_second(latest) if latest is not None else "-1" + return (SourceVersion(epoch_second(latest), "timestamp") + if latest is not None else SourceVersion("-1")) # A maximum mtime misses changes to older files and added/deleted parts. metadata = [ (entry.path, entry.size, getattr(entry, "mtime_ns", None), entry.mtime.isoformat() if entry.mtime is not None else None) for entry in sorted(entries, key=lambda entry: entry.path) ] - return hashlib.sha256(json.dumps(metadata).encode()).hexdigest() + return SourceVersion( + hashlib.sha256(json.dumps(metadata).encode()).hexdigest(), "timestamp") class _CsvSource(NamedTuple): diff --git a/packages/kumo-core/src/kumo_core/sources/object_store_backend.py b/packages/kumo-core/src/kumo_core/sources/object_store_backend.py index 69f3025f7..f5f903d0a 100644 --- a/packages/kumo-core/src/kumo_core/sources/object_store_backend.py +++ b/packages/kumo-core/src/kumo_core/sources/object_store_backend.py @@ -130,7 +130,7 @@ def get_data_version( ) -> str: del project_id reader, name = self._reader(connector, table_name) - return str(reader.data_version(name)) + return reader.data_version(name) def prepare_ingest( self, diff --git a/packages/kumo-core/src/kumo_core/sources/object_store_sessions.py b/packages/kumo-core/src/kumo_core/sources/object_store_sessions.py index 712df3f36..ba4f9b893 100644 --- a/packages/kumo-core/src/kumo_core/sources/object_store_sessions.py +++ b/packages/kumo-core/src/kumo_core/sources/object_store_sessions.py @@ -6,7 +6,7 @@ from abc import ABC, abstractmethod from dataclasses import dataclass from typing import Any, Callable, Optional, Tuple -from urllib.parse import unquote, urlsplit +from urllib.parse import quote, unquote, urlsplit from kumoapi.plugin import SourceConnector from pyarrow.fs import FileSystem @@ -16,6 +16,8 @@ from .object_store_access import ObjectStoreAccess from .principals import IdentityRef, Principal, resolve +_KEY_SAFE = "/-._~!$&'()*+,;=:@" + @dataclass(frozen=True) class ObjectStoreRoot: @@ -106,8 +108,11 @@ def _over(self, connector: SourceConnector, bucket: str, root: str, def table_uri(self, connector: SourceConnector, table_name: str) -> str: """Full ``scheme://bucket/key`` of ``table_name``, without credentials.""" - _, root, name, _ = self._placement(connector, table_name) - return f'{self.scheme}://{posixpath.join(root, name).rstrip("/")}' + root = self._root_for(connector) + if root is None: + return self.paths.source_uri(table_name).rstrip('/') + key = quote(posixpath.join(root.prefix, table_name), safe=_KEY_SAFE) + return f'{self.scheme}://{root.bucket}/{key}'.rstrip('/') def _placement(self, connector: SourceConnector, table_name: str) -> Tuple[str, str, str, Optional[str]]: diff --git a/packages/kumo-core/tests/sources/unit/test_sql_identity.py b/packages/kumo-core/tests/sources/unit/test_sql_identity.py index 7f3ad3993..2d18419d9 100644 --- a/packages/kumo-core/tests/sources/unit/test_sql_identity.py +++ b/packages/kumo-core/tests/sources/unit/test_sql_identity.py @@ -36,6 +36,12 @@ def test_a_referenced_table_that_moved_gives_a_new_version(): assert stamped(version="v1") != stamped(version="v2") +def test_the_version_keeps_the_dependency_versions_it_folds(): + version = stamped(version="v1") + assert version.kind == "hour_bucket" + assert set(version.dependencies.values()) == {"v1"} + + def test_a_formatting_only_edit_does_not_move_the_version(): assert stamped( sql="select ID,\n AMOUNT from ORDERS where AMOUNT > 0") == (stamped()) diff --git a/packages/kumo-databricks/src/kumo_databricks/identity.py b/packages/kumo-databricks/src/kumo_databricks/identity.py index ae6023a93..c4ea11088 100644 --- a/packages/kumo-databricks/src/kumo_databricks/identity.py +++ b/packages/kumo-databricks/src/kumo_databricks/identity.py @@ -8,7 +8,11 @@ from databricks.sql.client import Cursor from kumo_core.sources.errors import SourceNotFoundError -from kumo_core.sources.identity import epoch_second, hour_version +from kumo_core.sources.identity import ( + SourceVersion, + epoch_second, + hour_version, +) from kumo_databricks.errors import is_not_found DESCRIBE = "DESCRIBE EXTENDED {source}" @@ -65,5 +69,5 @@ def table_version(cursor: Cursor, source: str) -> str: rows = cursor.fetchall() if rows: commit = epoch_second(pd.Timestamp(rows[0][1])) - return f"{rows[0][0]}_{commit}" + return SourceVersion(f"{rows[0][0]}_{commit}", "exact") return hour_version() diff --git a/packages/kumo-databricks/tests/test_identity.py b/packages/kumo-databricks/tests/test_identity.py index 28bd35f48..03aeee1ad 100644 --- a/packages/kumo-databricks/tests/test_identity.py +++ b/packages/kumo-databricks/tests/test_identity.py @@ -49,6 +49,7 @@ def stamp(recorder=None, source=SOURCE, **overrides): def test_a_delta_table_is_stamped_with_its_version_and_commit_time(): """The first two history columns are the stamp; a fraction is dropped.""" assert stamp() == COMMIT_VERSION + assert stamp().kind == "exact" assert stamp(history=[(947, f"{COMMITTED}.9", "WRITE", "extra")]) == (COMMIT_VERSION) @@ -60,6 +61,7 @@ def test_the_stamp_changes_when_the_same_version_is_recommitted(): def test_a_table_with_no_history_falls_back_to_the_hour_window(): assert stamp(history=[]) == hour_version() + assert stamp(history=[]).kind == "hour_bucket" @pytest.mark.parametrize("refusal", [ diff --git a/packages/kumo-engine/kumo/engine/connector/file.py b/packages/kumo-engine/kumo/engine/connector/file.py index 802da205a..df6d233dc 100644 --- a/packages/kumo-engine/kumo/engine/connector/file.py +++ b/packages/kumo-engine/kumo/engine/connector/file.py @@ -121,6 +121,11 @@ def get_table_config(self, connector: Union[Connector, SourceConnector], LocalFileSourceTable(path=str(Path(path).resolve()), file_type=FileType(kind.upper()))) + def table_location(self, connector: Union[Connector, SourceConnector], + table_name): + reader, name = self._reader(connector, table_name) + return str(Path(reader.resolve(name)[0]).resolve()) + def prepare_ingest(self, connector, table_name, dest_dir, *args, **kwargs): _disjoint(Path(connector.config.root_dir), Path(dest_dir)) return super().prepare_ingest(connector, table_name, dest_dir, *args, diff --git a/packages/kumo-engine/kumo/engine/graph.py b/packages/kumo-engine/kumo/engine/graph.py index cfbfb5806..02600fd28 100644 --- a/packages/kumo-engine/kumo/engine/graph.py +++ b/packages/kumo-engine/kumo/engine/graph.py @@ -246,21 +246,33 @@ def counts(self) -> Dict[str, Dict[str, int]]: def _write_snapshot_manifest(result: Any, snapshot_id: str, - source_tables: Dict[str, Dict[str, Any]], *, - fresh: bool) -> None: + source_tables: Dict[str, Dict[str, Any]], + record_locations: bool, *, fresh: bool) -> None: path = Path(result.index_path) / SNAPSHOT_MANIFEST_FILE - if not fresh and path.exists(): - return try: - fields = {} if fresh else dict(created_at=None, environment=None, - scheduler=None, reconstructed=True) - write_manifest( - path, - new_manifest('graph_snapshot', snapshot_id, - {'source_tables': source_tables}, **fields)) + if not fresh and path.exists(): + existing = read_manifest(path) + if existing is None or existing.get('record_locations', + True) == record_locations: + return + manifest = { + **existing, 'record_locations': record_locations, + 'parents': { + **existing['parents'], 'source_tables': source_tables + } + } + else: + fields = {} if fresh else dict(created_at=None, environment=None, + scheduler=None, reconstructed=True) + manifest = new_manifest('graph_snapshot', snapshot_id, + {'source_tables': source_tables}, + record_locations=record_locations, + **fields) + write_manifest(path, manifest) except Exception as error: if fresh or path not in _warned_backfill: - _warned_backfill.add(path) + if not fresh: + _warned_backfill.add(path) warnings.warn( f"Could not write the snapshot manifest at {path}: {error}", UserWarning, @@ -397,7 +409,7 @@ def validate(self) -> None: """ self.native_graph - def snapshot(self) -> GraphSnapshot: + def snapshot(self, *, record_locations: bool = True) -> GraphSnapshot: r"""Materialize this graph: read each table's connector, run the result through `kumo-core` to build column stats and the on-disk index. The index is stored under a directory keyed by both `self.id` @@ -406,6 +418,11 @@ def snapshot(self) -> GraphSnapshot: and `GraphSnapshot`'s docstring for the resulting `id` shape. If a valid build already exists for that exact key, ingest is skipped and it's reused as is. + + Args: + record_locations: if False, the snapshot manifest records each + source as connector and table name only (no bucket, path or + account). """ from filelock import FileLock @@ -435,10 +452,11 @@ def snapshot(self) -> GraphSnapshot: # processes, and a lock-file-existence mutex would leave a stale # lock behind after a crash. with FileLock(f'{persist_dir}.lock'): - return self._snapshot_no_lock(graph_key, persist_dir) + return self._snapshot_no_lock(graph_key, persist_dir, + record_locations) - def _snapshot_no_lock(self, graph_key: str, persist_dir: Path) \ - -> GraphSnapshot: + def _snapshot_no_lock(self, graph_key: str, persist_dir: Path, + record_locations: bool = True) -> GraphSnapshot: r"""`snapshot()`'s body, run under its `FileLock`. Not meant to be called on its own -- `persist_dir`, unlike everything else here, isn't a pure function of `self` alone (it's `snapshot()`'s lock key, @@ -504,8 +522,9 @@ def _snapshot_no_lock(self, graph_key: str, persist_dir: Path) \ "limitation in kumoai/backend/local/graph.py's " "_stage_sources, which raises the same way.") table_data_versions[alias] = prepared.version - source_tables[alias] = source_table(connector, name, sql, - prepared.version) + source_tables[alias] = source_table( + connector, name, sql, prepared.version, + record_locations=record_locations) paths = prepared.source.get('paths') or [] if paths: @@ -556,7 +575,7 @@ def _snapshot_no_lock(self, graph_key: str, persist_dir: Path) \ snapshot_id = f'{graph_key}@{data_version[:16]}' _write_snapshot_manifest(result, snapshot_id, source_tables, - fresh=existing is None) + record_locations, fresh=existing is None) _warn_ingest_data_loss(result, graph_config) return GraphSnapshot( diff --git a/packages/kumo-engine/test/test_snapshot_manifest.py b/packages/kumo-engine/test/test_snapshot_manifest.py index 92c55d555..71c3b22b0 100644 --- a/packages/kumo-engine/test/test_snapshot_manifest.py +++ b/packages/kumo-engine/test/test_snapshot_manifest.py @@ -11,6 +11,7 @@ import numpy as np import pandas as pd import pytest +from kumo_core.sources.identity import SourceVersion from kumo_core.version import get_kumo_version from kumoapi.graph import Edge from kumoapi.typing import Stype @@ -25,7 +26,10 @@ SnowflakeConnector, Table, ) -from kumo.engine.connector.identity import DatabricksIdentity +from kumo.engine.connector.identity import ( + DatabricksIdentity, + SnowflakeIdentity, +) from kumo.engine.graph import SNAPSHOT_MANIFEST_FILE, GraphSnapshot _SCHEDULER_ENV = ('KUMO_SCHEDULER', 'KUMO_JOB_ID', 'KUMO_JOB_RUN_ID', @@ -49,7 +53,7 @@ def make_snapshot(tmp_path, no_scheduler): data.mkdir() pd.DataFrame({'ID': np.arange(5)}).to_parquet(data / 'ents.parquet') - def make(events: int | None = None) -> GraphSnapshot: + def make(events: int | None = None, **options) -> GraphSnapshot: if events is not None: pd.DataFrame({ 'EID': np.arange(events), @@ -62,14 +66,14 @@ def make(events: int | None = None) -> GraphSnapshot: return Graph( { 'ents': - Table.from_source_table(connector['ents.parquet'], + Table.from_source_table(connector['ents'], primary_key='ID').infer_metadata(), 'events': Table.from_source_table( connector['events.parquet'], primary_key='EID').infer_metadata().with_column( 'ENT_ID', stype=Stype.ID), - }, [Edge('events', 'ENT_ID', 'ents')]).snapshot() + }, [Edge('events', 'ENT_ID', 'ents')]).snapshot(**options) return make @@ -87,10 +91,14 @@ def test_snapshot_manifest_records_sources_and_diffs(make_snapshot, 'ents': str(data / 'ents.parquet'), 'events': str(data / 'events.parquet'), } + assert {e['version_kind'] + for e in manifest['parents']['source_tables'].values() + } == {'timestamp'} assert 'tables' not in manifest and 'edges' not in manifest assert before.counts['rows'] == {'ents': 5, 'events': 30} assert before.counts['edges']['events_ENT_ID_to_ents_ID'] == 30 assert manifest['environment']['kumo_engine'] == get_kumo_version() + assert manifest['environment']['diskgraph'] assert manifest['scheduler'] is None assert datetime.fromisoformat(manifest['created_at']).tzinfo is not None assert str(tmp_path / 'scratch') not in json.dumps(manifest) @@ -173,6 +181,13 @@ def test_unsupported_manifest_is_ignored(tmp_path, content): @pytest.mark.parametrize('connector, name, sql, location', [ (S3Connector(root_dir='s3://bucket-a/data/'), 'exports/tt/', None, 's3://bucket-a/data/exports/tt'), + (S3Connector(root_dir='s3://bucket-a/data/'), 'q4#1 50%.parquet', None, + 's3://bucket-a/data/q4%231%2050%25.parquet'), + (S3Connector(), 's3://bucket-a/sales%23q4.parquet', None, + 's3://bucket-a/sales%23q4.parquet'), + (SnowflakeConnector(warehouse='wh', database='db', schema_name='sch', + identity=SnowflakeIdentity(account='org-acct')), + 'TT', None, 'org-acct/"DB"."SCH"."TT"'), (SnowflakeConnector(warehouse='wh', database='db', schema_name='sch'), 'TT', None, '"DB"."SCH"."TT"'), (DatabricksConnector( @@ -193,4 +208,35 @@ def test_source_location(connector, name, sql, location): def test_unrecordable_location_is_null(): with pytest.warns(UserWarning, match='location'): entry = provenance.source_table(None, 'users', None, 7) - assert entry == {'connector': None, 'location': None, 'version': '7'} + assert entry == {'connector': None, 'location': None, 'version': '7', + 'version_kind': 'unknown'} + + +def test_custom_sql_records_dependency_versions(): + version = SourceVersion('abc', 'hour_bucket', {'orders': '17'}) + entry = provenance.source_table( + SnowflakeConnector(warehouse='wh', database='db', schema_name='sch'), + 'q', 'SELECT * FROM orders', version, record_locations=False) + assert entry == { + 'connector': 'SNOWFLAKE', + 'location': 'sql:' + hashlib.sha256(b'SELECT * FROM orders').hexdigest(), + 'version': 'abc', + 'version_kind': 'hour_bucket', + 'dependencies': {'orders': '17'}, + } + + +def test_record_locations_false_keeps_table_names_only(make_snapshot, + tmp_path): + names = {'ents': 'ents', 'events': 'events.parquet'} + redacted = make_snapshot(30, record_locations=False) + sources = redacted.manifest['parents']['source_tables'] + assert {alias: e['location'] for alias, e in sources.items()} == names + assert str(tmp_path) not in json.dumps(redacted.manifest) + assert redacted.manifest['record_locations'] is False + + full = make_snapshot(record_locations=True) + assert full == redacted + assert full.manifest['parents']['source_tables']['ents'][ + 'location'] == str((tmp_path / 'data' / 'ents.parquet').resolve()) + assert full.manifest['created_at'] == redacted.manifest['created_at'] diff --git a/packages/kumo-snowflake/src/kumo_snowflake/identity.py b/packages/kumo-snowflake/src/kumo_snowflake/identity.py index 7b17c9a78..e62270e42 100644 --- a/packages/kumo-snowflake/src/kumo_snowflake/identity.py +++ b/packages/kumo-snowflake/src/kumo_snowflake/identity.py @@ -7,7 +7,11 @@ from typing import Any, Iterable, Mapping from kumo_core.sources.errors import PermanentSourceError, SourceNotFoundError -from kumo_core.sources.identity import epoch_second, hour_version +from kumo_core.sources.identity import ( + SourceVersion, + epoch_second, + hour_version, +) from kumo_core.sources.sql import resolve_snowflake_identifier from kumo_snowflake.sql import placeholder, quote_identifier @@ -95,7 +99,8 @@ def data_version( altered = {str(row[0]): row[1] for row in cursor.fetchall()} if table not in altered: return hour_version() - return epoch_second(pd.to_datetime(altered[table])) + return SourceVersion(epoch_second(pd.to_datetime(altered[table])), + "timestamp") class MissingColumnTypesError(PermanentSourceError): diff --git a/packages/kumo-snowflake/src/kumo_snowflake/session.py b/packages/kumo-snowflake/src/kumo_snowflake/session.py index a896821df..08b8c4ebf 100644 --- a/packages/kumo-snowflake/src/kumo_snowflake/session.py +++ b/packages/kumo-snowflake/src/kumo_snowflake/session.py @@ -463,8 +463,13 @@ def _principal(self, connector: SourceConnector) -> Principal: def table_location(self, connector: SourceConnector, table_name: str) -> str: - """Fully qualified name of ``table_name`` in the connector's target.""" - return self._qualified(connector, table_name) + """``account/"DB"."SCHEMA"."TABLE"``; the account when it resolves.""" + try: + account = _snowflake_config(self._principal(connector)).account + except Exception: + account = None + qualified = self._qualified(connector, table_name) + return f'{account}/{qualified}' if account else qualified @staticmethod def _qualified(connector: SourceConnector, table_name: str) -> str: diff --git a/packages/kumo-snowflake/tests/test_identity.py b/packages/kumo-snowflake/tests/test_identity.py index f4ba9fd8d..eade78ae6 100644 --- a/packages/kumo-snowflake/tests/test_identity.py +++ b/packages/kumo-snowflake/tests/test_identity.py @@ -30,6 +30,7 @@ def stamp(recorder=None, table=TABLE, **overrides): def test_a_table_is_stamped_with_the_second_it_was_last_altered(): """A version carrying `.0` is a different path segment and a different key.""" assert stamp() == ALTERED_VERSION + assert stamp().kind == "timestamp" assert stamp(last_altered=ALTERED.replace( microsecond=900000)) == (ALTERED_VERSION) @@ -46,6 +47,7 @@ def test_a_differently_cased_table_is_not_substituted(): def test_a_view_of_either_kind_falls_back_to_the_hour_window(table_type): recorder = cursor(table_type=table_type) assert stamp(recorder) == hour_version() + assert stamp(cursor(table_type=table_type)).kind == "hour_bucket" assert recorder.matching("LAST_ALTERED") == [] From 482b1b28ca3bca8de7033f0ac6841da82296fcc7 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 22:11:50 +0000 Subject: [PATCH 014/123] Pick the source-location lookup by connector type source_location chose between table_uri and table_location by probing the backend's attributes. Object stores now expose table_location like the file and warehouse backends, and the manifest asks for a location only for the connector types that record one; any other connector records its table name. Verified with test_snapshot_manifest.py. Co-Authored-By: Claude Opus 5.5 --- .../kumo_core/sources/object_store_sessions.py | 3 ++- packages/kumo-engine/kumo/engine/_provenance.py | 17 +++++++++++------ .../kumo-engine/test/test_snapshot_manifest.py | 3 ++- 3 files changed, 15 insertions(+), 8 deletions(-) diff --git a/packages/kumo-core/src/kumo_core/sources/object_store_sessions.py b/packages/kumo-core/src/kumo_core/sources/object_store_sessions.py index ba4f9b893..951b780bb 100644 --- a/packages/kumo-core/src/kumo_core/sources/object_store_sessions.py +++ b/packages/kumo-core/src/kumo_core/sources/object_store_sessions.py @@ -106,7 +106,8 @@ def _over(self, connector: SourceConnector, bucket: str, root: str, fetch=access.fetch, object_identity=access.object_identity) - def table_uri(self, connector: SourceConnector, table_name: str) -> str: + def table_location(self, connector: SourceConnector, + table_name: str) -> str: """Full ``scheme://bucket/key`` of ``table_name``, without credentials.""" root = self._root_for(connector) if root is None: diff --git a/packages/kumo-engine/kumo/engine/_provenance.py b/packages/kumo-engine/kumo/engine/_provenance.py index e4ecdfd4f..12a3620f2 100644 --- a/packages/kumo-engine/kumo/engine/_provenance.py +++ b/packages/kumo-engine/kumo/engine/_provenance.py @@ -14,6 +14,8 @@ from typing import Any, Dict, Optional PROCESSING_JOB_CONFIG = Path('/opt/ml/config/processingjobconfig.json') +_LOCATED_CONNECTORS = frozenset( + {'LOCAL_FILE', 'S3', 'GCS', 'SNOWFLAKE', 'DATABRICKS', 'BIGQUERY'}) @cache @@ -105,10 +107,14 @@ def source_location(connector: Any, table_name: str, sql: Optional[str] = None) -> str: if sql is not None: return 'sql:' + hashlib.sha256(sql.encode()).hexdigest() - backend = connector.source_backend - locate = (getattr(backend, 'table_uri', None) - or getattr(backend, 'table_location', None)) - return table_name if locate is None else locate(connector, table_name) + if _connector_kind(connector) not in _LOCATED_CONNECTORS: + return table_name + return connector.source_backend.table_location(connector, table_name) + + +def _connector_kind(connector: Any) -> str: + kind = connector.source_type + return str(getattr(kind, 'value', kind)) def source_table(connector: Any, table_name: str, sql: Optional[str], @@ -129,8 +135,7 @@ def source_table(connector: Any, table_name: str, sql: Optional[str], for name, value in dependencies.items() } try: - kind = connector.source_type - entry['connector'] = str(getattr(kind, 'value', kind)) + entry['connector'] = _connector_kind(connector) entry['location'] = (source_location(connector, table_name, sql) if record_locations or sql is not None else table_name) diff --git a/packages/kumo-engine/test/test_snapshot_manifest.py b/packages/kumo-engine/test/test_snapshot_manifest.py index 71c3b22b0..58d519f3a 100644 --- a/packages/kumo-engine/test/test_snapshot_manifest.py +++ b/packages/kumo-engine/test/test_snapshot_manifest.py @@ -197,7 +197,8 @@ def test_unsupported_manifest_is_ignored(tmp_path, content): 'cat.sch.tt', None, '`cat`.`sch`.`tt`'), (BigQueryConnector(project_id='data-project', dataset_id='analytics'), 'tt', None, 'data-project.analytics.tt'), - (SimpleNamespace(config=None, source_backend=None), 'TT', None, 'TT'), + (SimpleNamespace(source_type='OTHER', source_backend=None), 'TT', None, + 'TT'), (None, 'synthetic', 'SELECT 1', 'sql:' + hashlib.sha256(b'SELECT 1').hexdigest()), ]) From 0d73b76db1a9329133850adc8f3fdcdfa2f99188 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 22:15:02 +0000 Subject: [PATCH 015/123] Record Custom SQL text by default; one record_sources switch The snapshot manifest recorded Custom SQL only as a hash, so a model's lineage could not show which query produced a source. Custom SQL entries now carry the SQL text and its dialect next to the hash and dependency versions. graph.snapshot(record_locations=False) becomes record_sources=False and turns off both: connector and table name only, and the SQL as a hash only. Verified with test_snapshot_manifest.py. Co-Authored-By: Claude Opus 5.5 --- .../kumo-engine/kumo/engine/_provenance.py | 7 ++++-- packages/kumo-engine/kumo/engine/graph.py | 24 +++++++++---------- .../test/test_snapshot_manifest.py | 20 +++++++++------- 3 files changed, 29 insertions(+), 22 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/_provenance.py b/packages/kumo-engine/kumo/engine/_provenance.py index 12a3620f2..c4b2a1d19 100644 --- a/packages/kumo-engine/kumo/engine/_provenance.py +++ b/packages/kumo-engine/kumo/engine/_provenance.py @@ -119,7 +119,7 @@ def _connector_kind(connector: Any) -> str: def source_table(connector: Any, table_name: str, sql: Optional[str], version: Any, *, - record_locations: bool = True) -> Dict[str, Any]: + record_sources: bool = True) -> Dict[str, Any]: from kumo_core.sources.identity import version_kind entry: Dict[str, Any] = { @@ -137,8 +137,11 @@ def source_table(connector: Any, table_name: str, sql: Optional[str], try: entry['connector'] = _connector_kind(connector) entry['location'] = (source_location(connector, table_name, sql) - if record_locations or sql is not None else + if record_sources or sql is not None else table_name) + if sql is not None and record_sources: + entry['sql'] = sql + entry['dialect'] = entry['connector'].lower() except Exception as error: warnings.warn(f"Could not record a source table's location: {error}", UserWarning, stacklevel=3) diff --git a/packages/kumo-engine/kumo/engine/graph.py b/packages/kumo-engine/kumo/engine/graph.py index 02600fd28..b1dc065e5 100644 --- a/packages/kumo-engine/kumo/engine/graph.py +++ b/packages/kumo-engine/kumo/engine/graph.py @@ -247,16 +247,16 @@ def counts(self) -> Dict[str, Dict[str, int]]: def _write_snapshot_manifest(result: Any, snapshot_id: str, source_tables: Dict[str, Dict[str, Any]], - record_locations: bool, *, fresh: bool) -> None: + record_sources: bool, *, fresh: bool) -> None: path = Path(result.index_path) / SNAPSHOT_MANIFEST_FILE try: if not fresh and path.exists(): existing = read_manifest(path) - if existing is None or existing.get('record_locations', - True) == record_locations: + if existing is None or existing.get('record_sources', + True) == record_sources: return manifest = { - **existing, 'record_locations': record_locations, + **existing, 'record_sources': record_sources, 'parents': { **existing['parents'], 'source_tables': source_tables } @@ -266,7 +266,7 @@ def _write_snapshot_manifest(result: Any, snapshot_id: str, scheduler=None, reconstructed=True) manifest = new_manifest('graph_snapshot', snapshot_id, {'source_tables': source_tables}, - record_locations=record_locations, + record_sources=record_sources, **fields) write_manifest(path, manifest) except Exception as error: @@ -409,7 +409,7 @@ def validate(self) -> None: """ self.native_graph - def snapshot(self, *, record_locations: bool = True) -> GraphSnapshot: + def snapshot(self, *, record_sources: bool = True) -> GraphSnapshot: r"""Materialize this graph: read each table's connector, run the result through `kumo-core` to build column stats and the on-disk index. The index is stored under a directory keyed by both `self.id` @@ -420,9 +420,9 @@ def snapshot(self, *, record_locations: bool = True) -> GraphSnapshot: it's reused as is. Args: - record_locations: if False, the snapshot manifest records each + record_sources: if False, the snapshot manifest records each source as connector and table name only (no bucket, path or - account). + account) and Custom SQL as a hash only (no SQL text). """ from filelock import FileLock @@ -453,10 +453,10 @@ def snapshot(self, *, record_locations: bool = True) -> GraphSnapshot: # lock behind after a crash. with FileLock(f'{persist_dir}.lock'): return self._snapshot_no_lock(graph_key, persist_dir, - record_locations) + record_sources) def _snapshot_no_lock(self, graph_key: str, persist_dir: Path, - record_locations: bool = True) -> GraphSnapshot: + record_sources: bool = True) -> GraphSnapshot: r"""`snapshot()`'s body, run under its `FileLock`. Not meant to be called on its own -- `persist_dir`, unlike everything else here, isn't a pure function of `self` alone (it's `snapshot()`'s lock key, @@ -524,7 +524,7 @@ def _snapshot_no_lock(self, graph_key: str, persist_dir: Path, table_data_versions[alias] = prepared.version source_tables[alias] = source_table( connector, name, sql, prepared.version, - record_locations=record_locations) + record_sources=record_sources) paths = prepared.source.get('paths') or [] if paths: @@ -575,7 +575,7 @@ def _snapshot_no_lock(self, graph_key: str, persist_dir: Path, snapshot_id = f'{graph_key}@{data_version[:16]}' _write_snapshot_manifest(result, snapshot_id, source_tables, - record_locations, fresh=existing is None) + record_sources, fresh=existing is None) _warn_ingest_data_loss(result, graph_config) return GraphSnapshot( diff --git a/packages/kumo-engine/test/test_snapshot_manifest.py b/packages/kumo-engine/test/test_snapshot_manifest.py index 58d519f3a..bffad8017 100644 --- a/packages/kumo-engine/test/test_snapshot_manifest.py +++ b/packages/kumo-engine/test/test_snapshot_manifest.py @@ -213,30 +213,34 @@ def test_unrecordable_location_is_null(): 'version_kind': 'unknown'} -def test_custom_sql_records_dependency_versions(): +@pytest.mark.parametrize('record_sources', [True, False]) +def test_custom_sql_records_text_unless_sources_are_off(record_sources): version = SourceVersion('abc', 'hour_bucket', {'orders': '17'}) entry = provenance.source_table( SnowflakeConnector(warehouse='wh', database='db', schema_name='sch'), - 'q', 'SELECT * FROM orders', version, record_locations=False) - assert entry == { + 'q', 'SELECT * FROM orders', version, record_sources=record_sources) + expected = { 'connector': 'SNOWFLAKE', 'location': 'sql:' + hashlib.sha256(b'SELECT * FROM orders').hexdigest(), 'version': 'abc', 'version_kind': 'hour_bucket', 'dependencies': {'orders': '17'}, } + if record_sources: + expected.update(sql='SELECT * FROM orders', dialect='snowflake') + assert entry == expected -def test_record_locations_false_keeps_table_names_only(make_snapshot, - tmp_path): +def test_record_sources_false_keeps_table_names_only(make_snapshot, + tmp_path): names = {'ents': 'ents', 'events': 'events.parquet'} - redacted = make_snapshot(30, record_locations=False) + redacted = make_snapshot(30, record_sources=False) sources = redacted.manifest['parents']['source_tables'] assert {alias: e['location'] for alias, e in sources.items()} == names assert str(tmp_path) not in json.dumps(redacted.manifest) - assert redacted.manifest['record_locations'] is False + assert redacted.manifest['record_sources'] is False - full = make_snapshot(record_locations=True) + full = make_snapshot(record_sources=True) assert full == redacted assert full.manifest['parents']['source_tables']['ents'][ 'location'] == str((tmp_path / 'data' / 'ents.parquet').resolve()) From d2cd1c0835af5d6a1808f774cd69d5179e451485 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 22:27:19 +0000 Subject: [PATCH 016/123] Stamp the engine build commit into wheels; type directory versions Manifests from an installed kumo-engine wheel recorded build_commit null: only a "+sha" local version or a git checkout supplied it. The wheel build now appends BUILD_COMMIT to kumo/engine/_version.py in the build directory (KUMO_ENGINE_BUILD_COMMIT, else git, else None), and environment() reads it. The source file is unchanged. A Parquet directory's version is a sha256 fingerprint of its parts' paths, sizes and mtimes, but was typed "timestamp" like a single file's mtime. It is now "listing". Verified with test_snapshot_manifest.py, kumo-core tests/sources/parquet/test_object_store.py and a build_py run with and without the variable. Co-Authored-By: Claude Opus 5.5 --- .../src/kumo_core/sources/identity.py | 2 +- .../src/kumo_core/sources/object_store.py | 2 +- .../sources/parquet/test_object_store.py | 4 +-- .../kumo-engine/kumo/engine/_provenance.py | 4 +++ packages/kumo-engine/setup.py | 30 +++++++++++++++++++ 5 files changed, 38 insertions(+), 4 deletions(-) diff --git a/packages/kumo-core/src/kumo_core/sources/identity.py b/packages/kumo-core/src/kumo_core/sources/identity.py index 989fd6629..0e3d8e664 100644 --- a/packages/kumo-core/src/kumo_core/sources/identity.py +++ b/packages/kumo-core/src/kumo_core/sources/identity.py @@ -22,7 +22,7 @@ class SourceVersion(str): """A version string that also says what kind of evidence it is: - ``exact``, ``timestamp``, ``hour_bucket`` or ``unknown``.""" + ``exact``, ``timestamp``, ``listing``, ``hour_bucket`` or ``unknown``.""" kind: str dependencies: Mapping[str, str] | None diff --git a/packages/kumo-core/src/kumo_core/sources/object_store.py b/packages/kumo-core/src/kumo_core/sources/object_store.py index 09c11a32b..828600080 100644 --- a/packages/kumo-core/src/kumo_core/sources/object_store.py +++ b/packages/kumo-core/src/kumo_core/sources/object_store.py @@ -110,7 +110,7 @@ def _source_version(path: str, entries: Sequence[Any]) -> str: for entry in sorted(entries, key=lambda entry: entry.path) ] return SourceVersion( - hashlib.sha256(json.dumps(metadata).encode()).hexdigest(), "timestamp") + hashlib.sha256(json.dumps(metadata).encode()).hexdigest(), "listing") class _CsvSource(NamedTuple): diff --git a/packages/kumo-core/tests/sources/parquet/test_object_store.py b/packages/kumo-core/tests/sources/parquet/test_object_store.py index 4c2001d9a..5989a09f5 100644 --- a/packages/kumo-core/tests/sources/parquet/test_object_store.py +++ b/packages/kumo-core/tests/sources/parquet/test_object_store.py @@ -144,9 +144,9 @@ def get_file_info(self, target): reader = ObjectStoreSourceReader(MetadataOnlyFilesystem(), root=str(root)) version = reader.data_version(table) if table in ("events", "hive"): - assert len(version) == 64 + assert (len(version), version.kind) == (64, "listing") else: - assert int(version) > 0 + assert int(version) > 0 and version.kind == "timestamp" def test_version_of_exact_root_does_not_probe_other_suffixes(root): diff --git a/packages/kumo-engine/kumo/engine/_provenance.py b/packages/kumo-engine/kumo/engine/_provenance.py index c4b2a1d19..2bd279372 100644 --- a/packages/kumo-engine/kumo/engine/_provenance.py +++ b/packages/kumo-engine/kumo/engine/_provenance.py @@ -22,6 +22,10 @@ def _build_commit(version: str) -> Optional[str]: if '+' in version: return version.split('+', 1)[1] + from kumo.engine import _version + stamped = getattr(_version, 'BUILD_COMMIT', None) + if stamped: + return stamped root = Path(__file__).resolve().parents[2] if not (root / 'pyproject.toml').is_file(): return None diff --git a/packages/kumo-engine/setup.py b/packages/kumo-engine/setup.py index 125b39632..2bbf67013 100644 --- a/packages/kumo-engine/setup.py +++ b/packages/kumo-engine/setup.py @@ -2,10 +2,13 @@ # All rights reserved. # SPDX-License-Identifier: Apache-2.0 +import os import re +import subprocess from pathlib import Path from setuptools import setup +from setuptools.command.build_py import build_py kumo_api_release_ver = '3.0.0' api_pyproject = Path(__file__).parent.parent / 'kumo-api' / 'pyproject.toml' @@ -22,7 +25,34 @@ kumo_api = f'kumo-api=={api_ver}' + +def _build_commit(): + commit = os.environ.get('KUMO_ENGINE_BUILD_COMMIT') + if commit: + return commit + command = ['git', '-C', str(Path(__file__).parent), 'rev-parse', + '--short=12', 'HEAD'] + try: + return subprocess.run(command, capture_output=True, text=True, + check=True, timeout=10).stdout.strip() or None + except (OSError, subprocess.SubprocessError): + return None + + +class _StampBuildCommit(build_py): + def run(self): + super().run() + target = Path(self.build_lib) / 'kumo' / 'engine' / '_version.py' + if target.is_file(): + text = target.read_text(encoding='utf-8') + target.unlink() + target.write_text( + f'{text}BUILD_COMMIT = {_build_commit()!r}\n', + encoding='utf-8') + + setup( + cmdclass={'build_py': _StampBuildCommit}, install_requires=[ "pandas", "pyarrow>=8.0.0", From 72e29327d48040057ce36e9d8b3c588ab351fe95 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Thu, 22 Oct 2026 01:10:17 +0000 Subject: [PATCH 017/123] Carry the record_sources choice on GraphSnapshot A custom training table built against a snapshot read the snapshot's record_sources choice back from its manifest file, defaulting to recording full source locations when that file was missing or unreadable. GraphSnapshot.record_sources now holds the choice the snapshot was taken with (None when unknown, e.g. a hand-built or loaded snapshot). It is not part of equality: the same index taken with either choice is the same snapshot. Verified with test_snapshot_manifest.py. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/kumo/engine/graph.py | 4 ++++ packages/kumo-engine/test/test_snapshot_manifest.py | 2 ++ 2 files changed, 6 insertions(+) diff --git a/packages/kumo-engine/kumo/engine/graph.py b/packages/kumo-engine/kumo/engine/graph.py index b1dc065e5..381d447e9 100644 --- a/packages/kumo-engine/kumo/engine/graph.py +++ b/packages/kumo-engine/kumo/engine/graph.py @@ -221,11 +221,14 @@ class GraphSnapshot: `TrainingWorkflowRequest.from_spec`/`materialize(...)`). Computed once here, at snapshot time, rather than being rebuilt on every `Trainer.fit`/`predict` call. + record_sources: the `record_sources` choice this snapshot was taken + with; `None` when unknown (built elsewhere or loaded). """ id: str index_path: Path graph_config: Dict[str, Any] + record_sources: bool | None = field(default=None, compare=False) @property def manifest(self) -> Dict[str, Any] | None: @@ -582,6 +585,7 @@ def _snapshot_no_lock(self, graph_key: str, persist_dir: Path, id=snapshot_id, index_path=Path(result.index_path), graph_config=graph_config, + record_sources=record_sources, ) finally: discard_destination(str(persist_dir)) diff --git a/packages/kumo-engine/test/test_snapshot_manifest.py b/packages/kumo-engine/test/test_snapshot_manifest.py index bffad8017..bd8f10564 100644 --- a/packages/kumo-engine/test/test_snapshot_manifest.py +++ b/packages/kumo-engine/test/test_snapshot_manifest.py @@ -239,9 +239,11 @@ def test_record_sources_false_keeps_table_names_only(make_snapshot, assert {alias: e['location'] for alias, e in sources.items()} == names assert str(tmp_path) not in json.dumps(redacted.manifest) assert redacted.manifest['record_sources'] is False + assert redacted.record_sources is False full = make_snapshot(record_sources=True) assert full == redacted + assert full.record_sources is True assert full.manifest['parents']['source_tables']['ents'][ 'location'] == str((tmp_path / 'data' / 'ents.parquet').resolve()) assert full.manifest['created_at'] == redacted.manifest['created_at'] From 60e1ab6b92f52dcca899203548c03bb4694aca5c Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Thu, 22 Oct 2026 01:11:05 +0000 Subject: [PATCH 018/123] Record Custom SQL's namespace and normalized fingerprint A Custom SQL source recorded its exact text, its dialect and a hash of the exact text. Unqualified table names in that text resolve in the connector's database/schema (catalog/schema, project/dataset), which was not recorded, and a whitespace- or comment-only edit changed the only fingerprint. The source record now adds: - namespace: the connector's [database, schema] the query resolved in (source detail, omitted with record_sources=False); - normalized_sql_fingerprint: the existing Custom SQL identity (custom_sql_synthetic_name, the name the query's table gets), which ignores formatting; kept with record_sources=False as it is a hash. Verified with test_snapshot_manifest.py. Co-Authored-By: Claude Opus 5.5 --- .../kumo-engine/kumo/engine/_provenance.py | 24 ++++++++++++++++--- .../test/test_snapshot_manifest.py | 12 +++++++++- 2 files changed, 32 insertions(+), 4 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/_provenance.py b/packages/kumo-engine/kumo/engine/_provenance.py index 2bd279372..500ff8c69 100644 --- a/packages/kumo-engine/kumo/engine/_provenance.py +++ b/packages/kumo-engine/kumo/engine/_provenance.py @@ -143,10 +143,28 @@ def source_table(connector: Any, table_name: str, sql: Optional[str], entry['location'] = (source_location(connector, table_name, sql) if record_sources or sql is not None else table_name) - if sql is not None and record_sources: - entry['sql'] = sql - entry['dialect'] = entry['connector'].lower() + if sql is not None: + _record_sql(entry, connector, sql, record_sources) except Exception as error: warnings.warn(f"Could not record a source table's location: {error}", UserWarning, stacklevel=3) return entry + + +def _record_sql(entry: Dict[str, Any], connector: Any, sql: str, + record_sources: bool) -> None: + from kumo_core.custom_sql import ( + CUSTOM_SQL_NAMESPACE_ATTRS, + custom_sql_synthetic_name, + ) + from kumo_core.types import ConnectorType + + kind = ConnectorType[entry['connector']] + entry['normalized_sql_fingerprint'] = custom_sql_synthetic_name(sql, kind) + if record_sources: + entry['sql'] = sql + entry['dialect'] = entry['connector'].lower() + entry['namespace'] = [ + getattr(connector.config, attr) + for attr in CUSTOM_SQL_NAMESPACE_ATTRS[kind] + ] diff --git a/packages/kumo-engine/test/test_snapshot_manifest.py b/packages/kumo-engine/test/test_snapshot_manifest.py index bd8f10564..2c879fa60 100644 --- a/packages/kumo-engine/test/test_snapshot_manifest.py +++ b/packages/kumo-engine/test/test_snapshot_manifest.py @@ -11,7 +11,9 @@ import numpy as np import pandas as pd import pytest +from kumo_core.custom_sql import custom_sql_synthetic_name from kumo_core.sources.identity import SourceVersion +from kumo_core.types import ConnectorType from kumo_core.version import get_kumo_version from kumoapi.graph import Edge from kumoapi.typing import Stype @@ -227,7 +229,15 @@ def test_custom_sql_records_text_unless_sources_are_off(record_sources): 'dependencies': {'orders': '17'}, } if record_sources: - expected.update(sql='SELECT * FROM orders', dialect='snowflake') + expected.update(sql='SELECT * FROM orders', dialect='snowflake', + namespace=['db', 'sch']) + reformatted = provenance.source_table( + SnowflakeConnector(warehouse='wh', database='db', schema_name='sch'), + 'q', 'select *\n from ORDERS -- note', version) + assert entry.pop('normalized_sql_fingerprint') == reformatted[ + 'normalized_sql_fingerprint'] == custom_sql_synthetic_name( + 'SELECT * FROM orders', ConnectorType.SNOWFLAKE) + assert reformatted['location'] != entry['location'] assert entry == expected From 915e10cc443501611399ad1bb45729e680d14c77 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Thu, 22 Oct 2026 18:40:25 +0000 Subject: [PATCH 019/123] Make the snapshot manifest a frozen dataclass Manifests were plain dicts, so readers indexed string keys with no names, completion or type checking. kumo.engine._manifest now defines frozen dataclasses for the shared envelope (Manifest), Environment, SchedulerContext, SourceTableEntry and SnapshotManifest, each with to_dict()/from_dict(). Keys a newer kumo-engine writes are kept in `extra` and written back, so a newer file round-trips byte for byte; the on-disk JSON is unchanged. GraphSnapshot.manifest returns a SnapshotManifest, and environment(), scheduler_context() and source_table() return the dataclasses. Verified with test_snapshot_manifest.py. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/kumo/engine/_manifest.py | 170 ++++++++++++++++-- .../kumo-engine/kumo/engine/_provenance.py | 68 +++---- packages/kumo-engine/kumo/engine/graph.py | 48 ++--- .../test/test_snapshot_manifest.py | 93 ++++++---- 4 files changed, 275 insertions(+), 104 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/_manifest.py b/packages/kumo-engine/kumo/engine/_manifest.py index ca75b7dcb..e4466f3a9 100644 --- a/packages/kumo-engine/kumo/engine/_manifest.py +++ b/packages/kumo-engine/kumo/engine/_manifest.py @@ -4,38 +4,169 @@ """Shared JSON manifest format for engine artifacts.""" import json +import types import warnings +from collections.abc import Mapping as AbcMapping +from dataclasses import dataclass, field, fields from datetime import datetime, timezone from pathlib import Path -from typing import Any, Dict, Mapping, Optional +from typing import ( + Any, + Dict, + List, + Mapping, + Optional, + Type, + TypeVar, + Union, + get_args, + get_origin, + get_type_hints, +) from kumo_core.io.filesystem import atomic_write_bytes SCHEMA_VERSION = 1 +_OMIT_NONE = 'omit_none' +R = TypeVar('R', bound='Record') +M = TypeVar('M', bound='Manifest') -def new_manifest(kind: str, id: str, parents: Mapping[str, Any], - **fields: Any) -> Dict[str, Any]: + +def omit_none() -> Any: + """A field written only when it is not None.""" + return field(default=None, metadata={_OMIT_NONE: True}) + + +@dataclass(frozen=True, kw_only=True) +class Record: + """A JSON object; keys this version does not know are kept in ``extra``.""" + + extra: Mapping[str, Any] = field(default_factory=dict, repr=False, + compare=False) + + def to_dict(self) -> Dict[str, Any]: + data = dict(self.extra) + for item in fields(self): + value = getattr(self, item.name) + if item.name != 'extra' and not (value is None + and item.metadata.get(_OMIT_NONE)): + data[item.name] = _plain(value) + return data + + @classmethod + def from_dict(cls: Type[R], data: Mapping[str, Any]) -> R: + hints = get_type_hints(cls) + names = {item.name for item in fields(cls)} - {'extra'} + return cls( + **{ + name: _typed(hints[name], data[name]) + for name in names if name in data + }, extra={ + key: value + for key, value in data.items() if key not in names + }) + + +def _plain(value: Any) -> Any: + if isinstance(value, Record): + return value.to_dict() + if isinstance(value, AbcMapping): + return {key: _plain(item) for key, item in value.items()} + if isinstance(value, (list, tuple)): + return [_plain(item) for item in value] + return value + + +def _typed(hint: Any, value: Any) -> Any: + origin, args = get_origin(hint), get_args(hint) + if value is None: + return None + if origin in (Union, types.UnionType): + return _typed(next(arg for arg in args if arg is not type(None)), value) + if isinstance(hint, type) and issubclass(hint, Record): + return hint.from_dict(value) + if origin in (dict, AbcMapping) and args: + return {key: _typed(args[1], item) for key, item in value.items()} + if origin is list and args: + return [_typed(args[0], item) for item in value] + return value + + +@dataclass(frozen=True, kw_only=True) +class Environment(Record): + kumo_engine: Optional[str] + build_commit: Optional[str] + kumo_core: Optional[str] + diskgraph: Optional[str] + diskgraph_build_commit: Optional[str] + torch: Optional[str] + python: Optional[str] + + +@dataclass(frozen=True, kw_only=True) +class SchedulerContext(Record): + platform: str + job_id: Optional[str] + job_run_id: Optional[str] + + +@dataclass(frozen=True, kw_only=True) +class SourceTableEntry(Record): + connector: Optional[str] + location: Optional[str] + version: Optional[str] + version_kind: str + dependencies: Optional[Dict[str, str]] = omit_none() + normalized_sql_fingerprint: Optional[str] = omit_none() + sql: Optional[str] = omit_none() + dialect: Optional[str] = omit_none() + namespace: Optional[List[Any]] = omit_none() + + +@dataclass(frozen=True, kw_only=True) +class Manifest(Record): + kind: str + schema_version: int = SCHEMA_VERSION + id: str + created_at: Optional[str] + environment: Optional[Environment] + scheduler: Optional[SchedulerContext] + reconstructed: Optional[bool] = omit_none() + + +def stamp() -> Dict[str, Any]: + """Envelope fields for a manifest written now.""" from kumo.engine._provenance import environment, scheduler_context - return { - 'kind': kind, - 'schema_version': SCHEMA_VERSION, - 'id': id, - 'parents': dict(parents), - 'created_at': datetime.now(timezone.utc).isoformat(timespec='seconds'), - 'environment': environment(), - 'scheduler': scheduler_context(), - **fields, - } + return dict( + created_at=datetime.now(timezone.utc).isoformat(timespec='seconds'), + environment=environment(), scheduler=scheduler_context()) + + +#: Envelope fields for a manifest rebuilt after the fact. +RECONSTRUCTED: Dict[str, Any] = dict(created_at=None, environment=None, + scheduler=None, reconstructed=True) + +@dataclass(frozen=True, kw_only=True) +class SnapshotParents(Record): + source_tables: Dict[str, SourceTableEntry] -def write_manifest(path: Path, manifest: Mapping[str, Any]) -> None: - payload = json.dumps(manifest, indent=2, sort_keys=True) + '\n' + +@dataclass(frozen=True, kw_only=True) +class SnapshotManifest(Manifest): + kind: str = 'graph_snapshot' + parents: SnapshotParents + record_sources: Optional[bool] = omit_none() + + +def write_manifest(path: Path, manifest: Manifest) -> None: + payload = json.dumps(manifest.to_dict(), indent=2, sort_keys=True) + '\n' atomic_write_bytes(path, payload.encode('utf-8')) -def read_manifest(path: Path) -> Optional[Dict[str, Any]]: +def read_manifest(path: Path, kind: Type[M]) -> Optional[M]: try: manifest = json.loads(path.read_text(encoding='utf-8')) except FileNotFoundError: @@ -54,4 +185,9 @@ def read_manifest(path: Path) -> Optional[Dict[str, Any]]: stacklevel=3, ) return None - return manifest + try: + return kind.from_dict(manifest) + except (AttributeError, TypeError, ValueError) as error: + warnings.warn(f"Ignoring unreadable manifest {path}: {error}", + UserWarning, stacklevel=3) + return None diff --git a/packages/kumo-engine/kumo/engine/_provenance.py b/packages/kumo-engine/kumo/engine/_provenance.py index 500ff8c69..e463b68e6 100644 --- a/packages/kumo-engine/kumo/engine/_provenance.py +++ b/packages/kumo-engine/kumo/engine/_provenance.py @@ -13,6 +13,12 @@ from pathlib import Path from typing import Any, Dict, Optional +from kumo.engine._manifest import ( + Environment, + SchedulerContext, + SourceTableEntry, +) + PROCESSING_JOB_CONFIG = Path('/opt/ml/config/processingjobconfig.json') _LOCATED_CONNECTORS = frozenset( {'LOCAL_FILE', 'S3', 'GCS', 'SNOWFLAKE', 'DATABRICKS', 'BIGQUERY'}) @@ -45,7 +51,7 @@ def _diskgraph() -> Any: return None -def environment() -> Dict[str, Optional[str]]: +def environment() -> Environment: from kumo_core.version import ( get_kumo_version, installed_distribution_version, @@ -54,24 +60,24 @@ def environment() -> Dict[str, Optional[str]]: from kumo.engine._version import __version__ diskgraph = _diskgraph() - return { - 'kumo_engine': get_kumo_version(), - 'build_commit': _build_commit(__version__), - 'kumo_core': installed_distribution_version('kumo-core'), - 'diskgraph': getattr(diskgraph, '__version__', None), - 'diskgraph_build_commit': getattr(diskgraph, 'BUILD_COMMIT', None), - 'torch': installed_distribution_version('torch'), - 'python': platform.python_version(), - } + return Environment( + kumo_engine=get_kumo_version(), + build_commit=_build_commit(__version__), + kumo_core=installed_distribution_version('kumo-core'), + diskgraph=getattr(diskgraph, '__version__', None), + diskgraph_build_commit=getattr(diskgraph, 'BUILD_COMMIT', None), + torch=installed_distribution_version('torch'), + python=platform.python_version(), + ) def _context(platform_name: str, job_id: Optional[str], - job_run_id: Optional[str]) -> Dict[str, Any]: - return {'platform': platform_name, 'job_id': job_id, - 'job_run_id': job_run_id} + job_run_id: Optional[str]) -> SchedulerContext: + return SchedulerContext(platform=platform_name, job_id=job_id, + job_run_id=job_run_id) -def _detect() -> Optional[Dict[str, Any]]: +def _detect() -> Optional[SchedulerContext]: env = os.environ if env.get('TRAINING_JOB_NAME'): return _context('sagemaker', env['TRAINING_JOB_NAME'], @@ -91,7 +97,7 @@ def _detect() -> Optional[Dict[str, Any]]: return None -def scheduler_context() -> Optional[Dict[str, Any]]: +def scheduler_context() -> Optional[SchedulerContext]: env = os.environ scheduler = env.get('KUMO_SCHEDULER') job_id = env.get('KUMO_JOB_ID') @@ -99,10 +105,10 @@ def scheduler_context() -> Optional[Dict[str, Any]]: detected = _detect() if scheduler or job_id or job_run_id: if detected is not None and scheduler in (None, '', - detected['platform']): - scheduler = detected['platform'] - job_id = job_id or detected['job_id'] - job_run_id = job_run_id or detected['job_run_id'] + detected.platform): + scheduler = detected.platform + job_id = job_id or detected.job_id + job_run_id = job_run_id or detected.job_run_id return _context(scheduler or 'other', job_id, job_run_id) return detected @@ -123,21 +129,11 @@ def _connector_kind(connector: Any) -> str: def source_table(connector: Any, table_name: str, sql: Optional[str], version: Any, *, - record_sources: bool = True) -> Dict[str, Any]: + record_sources: bool = True) -> SourceTableEntry: from kumo_core.sources.identity import version_kind - entry: Dict[str, Any] = { - 'connector': None, - 'location': None, - 'version': None if version is None else str(version), - 'version_kind': version_kind(version), - } + entry: Dict[str, Any] = {'connector': None, 'location': None} dependencies = getattr(version, 'dependencies', None) - if dependencies is not None: - entry['dependencies'] = { - name: str(value) - for name, value in dependencies.items() - } try: entry['connector'] = _connector_kind(connector) entry['location'] = (source_location(connector, table_name, sql) @@ -148,7 +144,15 @@ def source_table(connector: Any, table_name: str, sql: Optional[str], except Exception as error: warnings.warn(f"Could not record a source table's location: {error}", UserWarning, stacklevel=3) - return entry + return SourceTableEntry( + version=None if version is None else str(version), + version_kind=version_kind(version), + dependencies=None if dependencies is None else { + name: str(value) + for name, value in dependencies.items() + }, + **entry, + ) def _record_sql(entry: Dict[str, Any], connector: Any, sql: str, diff --git a/packages/kumo-engine/kumo/engine/graph.py b/packages/kumo-engine/kumo/engine/graph.py index 381d447e9..33ede7225 100644 --- a/packages/kumo-engine/kumo/engine/graph.py +++ b/packages/kumo-engine/kumo/engine/graph.py @@ -62,7 +62,7 @@ import json import warnings -from dataclasses import dataclass, field +from dataclasses import dataclass, field, replace from functools import cached_property from pathlib import Path from typing import Any, Dict, Mapping, Sequence @@ -70,7 +70,15 @@ from kumo_core.pquery import NativeGraph, normalize_graph from kumoapi.graph import Edge -from kumo.engine._manifest import new_manifest, read_manifest, write_manifest +from kumo.engine._manifest import ( + RECONSTRUCTED, + SnapshotManifest, + SnapshotParents, + SourceTableEntry, + read_manifest, + stamp, + write_manifest, +) from kumo.engine._provenance import source_table from kumo.engine._scratch import ( fingerprint, @@ -231,9 +239,10 @@ class GraphSnapshot: record_sources: bool | None = field(default=None, compare=False) @property - def manifest(self) -> Dict[str, Any] | None: + def manifest(self) -> SnapshotManifest | None: """The snapshot manifest stored next to the index, if any.""" - return read_manifest(Path(self.index_path) / SNAPSHOT_MANIFEST_FILE) + return read_manifest(Path(self.index_path) / SNAPSHOT_MANIFEST_FILE, + SnapshotManifest) @property def counts(self) -> Dict[str, Dict[str, int]]: @@ -249,28 +258,25 @@ def counts(self) -> Dict[str, Dict[str, int]]: def _write_snapshot_manifest(result: Any, snapshot_id: str, - source_tables: Dict[str, Dict[str, Any]], + source_tables: Dict[str, SourceTableEntry], record_sources: bool, *, fresh: bool) -> None: path = Path(result.index_path) / SNAPSHOT_MANIFEST_FILE try: if not fresh and path.exists(): - existing = read_manifest(path) - if existing is None or existing.get('record_sources', - True) == record_sources: + existing = read_manifest(path, SnapshotManifest) + if existing is None or (existing.record_sources + is not False) == record_sources: return - manifest = { - **existing, 'record_sources': record_sources, - 'parents': { - **existing['parents'], 'source_tables': source_tables - } - } + manifest = replace( + existing, record_sources=record_sources, + parents=replace(existing.parents, + source_tables=source_tables)) else: - fields = {} if fresh else dict(created_at=None, environment=None, - scheduler=None, reconstructed=True) - manifest = new_manifest('graph_snapshot', snapshot_id, - {'source_tables': source_tables}, - record_sources=record_sources, - **fields) + manifest = SnapshotManifest( + id=snapshot_id, + parents=SnapshotParents(source_tables=source_tables), + record_sources=record_sources, + **(stamp() if fresh else RECONSTRUCTED)) write_manifest(path, manifest) except Exception as error: if fresh or path not in _warned_backfill: @@ -491,7 +497,7 @@ def _snapshot_no_lock(self, graph_key: str, persist_dir: Path, table_data_versions: Dict[str, str] = {} source_paths: Dict[str, str] = {} - source_tables: Dict[str, Dict[str, Any]] = {} + source_tables: Dict[str, SourceTableEntry] = {} try: for alias, table in self._named_tables.items(): diff --git a/packages/kumo-engine/test/test_snapshot_manifest.py b/packages/kumo-engine/test/test_snapshot_manifest.py index 2c879fa60..10a6e163e 100644 --- a/packages/kumo-engine/test/test_snapshot_manifest.py +++ b/packages/kumo-engine/test/test_snapshot_manifest.py @@ -5,6 +5,7 @@ import hashlib import json import os +from dataclasses import replace from datetime import datetime from types import SimpleNamespace @@ -28,6 +29,13 @@ SnowflakeConnector, Table, ) +from kumo.engine._manifest import ( + SchedulerContext, + SnapshotManifest, + SourceTableEntry, + read_manifest, + write_manifest, +) from kumo.engine.connector.identity import ( DatabricksIdentity, SnowflakeIdentity, @@ -85,32 +93,32 @@ def test_snapshot_manifest_records_sources_and_diffs(make_snapshot, before = make_snapshot(30) manifest = before.manifest - assert manifest['kind'] == 'graph_snapshot' - assert manifest['id'] == before.id + assert manifest.kind == 'graph_snapshot' + assert manifest.id == before.id data = (tmp_path / 'data').resolve() - assert {a: e['location'] - for a, e in manifest['parents']['source_tables'].items()} == { + assert {a: e.location + for a, e in manifest.parents.source_tables.items()} == { 'ents': str(data / 'ents.parquet'), 'events': str(data / 'events.parquet'), } - assert {e['version_kind'] - for e in manifest['parents']['source_tables'].values() + assert {e.version_kind + for e in manifest.parents.source_tables.values() } == {'timestamp'} - assert 'tables' not in manifest and 'edges' not in manifest + assert manifest.extra == {} assert before.counts['rows'] == {'ents': 5, 'events': 30} assert before.counts['edges']['events_ENT_ID_to_ents_ID'] == 30 - assert manifest['environment']['kumo_engine'] == get_kumo_version() - assert manifest['environment']['diskgraph'] - assert manifest['scheduler'] is None - assert datetime.fromisoformat(manifest['created_at']).tzinfo is not None - assert str(tmp_path / 'scratch') not in json.dumps(manifest) + assert manifest.environment.kumo_engine == get_kumo_version() + assert manifest.environment.diskgraph + assert manifest.scheduler is None + assert datetime.fromisoformat(manifest.created_at).tzinfo is not None + assert str(tmp_path / 'scratch') not in json.dumps(manifest.to_dict()) after = make_snapshot(40) assert after.counts['rows']['events'] == 40 - sources = manifest['parents']['source_tables'] - new_sources = after.manifest['parents']['source_tables'] + sources = manifest.parents.source_tables + new_sources = after.manifest.parents.source_tables assert new_sources['ents'] == sources['ents'] - assert new_sources['events']['version'] != sources['events']['version'] + assert new_sources['events'].version != sources['events'].version def test_index_without_manifest_is_reused_and_backfilled( @@ -126,10 +134,9 @@ def test_index_without_manifest_is_reused_and_backfilled( reused = make_snapshot() assert reused == snapshot - assert reused.manifest == { - **original, 'created_at': None, 'environment': None, - 'scheduler': None, 'reconstructed': True - } + assert reused.manifest == replace(original, created_at=None, + environment=None, scheduler=None, + reconstructed=True) def test_manifest_write_failure_leaves_snapshot_unchanged( @@ -164,8 +171,8 @@ def test_scheduler_context(no_scheduler, env, processing, expected): context = provenance.scheduler_context() - assert context == (expected and dict( - zip(('platform', 'job_id', 'job_run_id'), expected))) + assert context == (expected and SchedulerContext( + **dict(zip(('platform', 'job_id', 'job_run_id'), expected)))) @pytest.mark.parametrize('content', [ @@ -211,8 +218,8 @@ def test_source_location(connector, name, sql, location): def test_unrecordable_location_is_null(): with pytest.warns(UserWarning, match='location'): entry = provenance.source_table(None, 'users', None, 7) - assert entry == {'connector': None, 'location': None, 'version': '7', - 'version_kind': 'unknown'} + assert entry == SourceTableEntry(connector=None, location=None, + version='7', version_kind='unknown') @pytest.mark.parametrize('record_sources', [True, False]) @@ -220,7 +227,8 @@ def test_custom_sql_records_text_unless_sources_are_off(record_sources): version = SourceVersion('abc', 'hour_bucket', {'orders': '17'}) entry = provenance.source_table( SnowflakeConnector(warehouse='wh', database='db', schema_name='sch'), - 'q', 'SELECT * FROM orders', version, record_sources=record_sources) + 'q', 'SELECT * FROM orders', version, + record_sources=record_sources).to_dict() expected = { 'connector': 'SNOWFLAKE', 'location': 'sql:' + hashlib.sha256(b'SELECT * FROM orders').hexdigest(), @@ -234,10 +242,10 @@ def test_custom_sql_records_text_unless_sources_are_off(record_sources): reformatted = provenance.source_table( SnowflakeConnector(warehouse='wh', database='db', schema_name='sch'), 'q', 'select *\n from ORDERS -- note', version) - assert entry.pop('normalized_sql_fingerprint') == reformatted[ - 'normalized_sql_fingerprint'] == custom_sql_synthetic_name( + assert entry.pop('normalized_sql_fingerprint') == ( + reformatted.normalized_sql_fingerprint) == custom_sql_synthetic_name( 'SELECT * FROM orders', ConnectorType.SNOWFLAKE) - assert reformatted['location'] != entry['location'] + assert reformatted.location != entry['location'] assert entry == expected @@ -245,15 +253,32 @@ def test_record_sources_false_keeps_table_names_only(make_snapshot, tmp_path): names = {'ents': 'ents', 'events': 'events.parquet'} redacted = make_snapshot(30, record_sources=False) - sources = redacted.manifest['parents']['source_tables'] - assert {alias: e['location'] for alias, e in sources.items()} == names - assert str(tmp_path) not in json.dumps(redacted.manifest) - assert redacted.manifest['record_sources'] is False + sources = redacted.manifest.parents.source_tables + assert {alias: e.location for alias, e in sources.items()} == names + assert str(tmp_path) not in json.dumps(redacted.manifest.to_dict()) + assert redacted.manifest.record_sources is False assert redacted.record_sources is False full = make_snapshot(record_sources=True) assert full == redacted assert full.record_sources is True - assert full.manifest['parents']['source_tables']['ents'][ - 'location'] == str((tmp_path / 'data' / 'ents.parquet').resolve()) - assert full.manifest['created_at'] == redacted.manifest['created_at'] + assert full.manifest.parents.source_tables['ents'].location == str( + (tmp_path / 'data' / 'ents.parquet').resolve()) + assert full.manifest.created_at == redacted.manifest.created_at + + +def test_snapshot_manifest_round_trips_unchanged(make_snapshot, tmp_path): + written = make_snapshot(30).index_path / SNAPSHOT_MANIFEST_FILE + newer = json.loads(written.read_text()) + newer['future'] = {'kept': [1, 2]} + newer['environment']['cuda'] = '13.0' + newer['parents']['source_tables']['ents']['row_count'] = 5 + source = tmp_path / 'newer.json' + source.write_text(json.dumps(newer, indent=2, sort_keys=True) + '\n') + + manifest = read_manifest(source, SnapshotManifest) + write_manifest(tmp_path / 'out.json', manifest) + + assert (tmp_path / 'out.json').read_bytes() == source.read_bytes() + assert manifest.extra == {'future': {'kept': [1, 2]}} + assert manifest.environment.extra == {'cuda': '13.0'} From bd39c7cb7c087cd797c4d8906b68e5fdb9990839 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Tue, 20 Oct 2026 20:28:23 +0000 Subject: [PATCH 020/123] Record training-table lineage across export and reload A training table exported with TrainingTable.export and reloaded with from_source_table becomes an anonymous custom table: its tt_id, snapshot id, query and generation plan are lost, so a model trained on an exported or edited table cannot say where its rows came from. Generation (PredictiveQuery.generate_training_table and TrainingTable.from_source_table) now writes training-table-manifest.json into the staging directory: tt_id, parent snapshot id, query, generation plan, task type, rows per split, effective split seed, source (pql or custom), environment and scheduler. TrainingTable.tt_id and TrainingTable.manifest read it back (None for older tables). Directory exports to file and object-store sinks add _kumo_manifest.json, the manifest plus a content digest of the parts and the export identity, through a new sidecars argument of ObjectStoreSinkBackend.write_files that export_selected_files writes before _SUCCESS. Reloading that exact directory, with a matching _KUMO_EXPORT marker, records derived_from and whether the staged rows differ from the exported digest. All new writes and reads are best-effort: failures warn, nothing new raises, and exported part files are unchanged. Verified with new tests for the manifest fields, the sidecar contents and idempotent re-export, byte-identical parts versus the plain exporter, reload of an untouched, edited, sidecar-less, garbled or foreign export, a failing manifest write, a warehouse sink receiving no sidecars, and sidecar ordering in export_selected_files; plus the existing training-table export, custom-source, file-connector, snapshot-manifest, prediction export, registry, artifact-export and S3 suites. Co-Authored-By: Claude Opus 5.5 --- .../src/kumo_core/artifact_export.py | 13 +- .../src/kumo_core/object_store_sink.py | 29 +++- .../kumo-core/tests/test_artifact_export.py | 29 ++++ .../kumo/engine/pquery/predictive_query.py | 6 +- .../kumo/engine/pquery/training_table.py | 147 +++++++++++++++++- .../test/test_training_table_export.py | 144 +++++++++++++++++ 6 files changed, 356 insertions(+), 12 deletions(-) diff --git a/packages/kumo-core/src/kumo_core/artifact_export.py b/packages/kumo-core/src/kumo_core/artifact_export.py index 0d73620ca..8abd316d6 100644 --- a/packages/kumo-core/src/kumo_core/artifact_export.py +++ b/packages/kumo-core/src/kumo_core/artifact_export.py @@ -199,18 +199,22 @@ def publish_export_destination(output_path, *, fs): def export_selected_files(files, output_path, *, fs, identity, file_type='parquet', convert_csv=None, - copy_parquet=None, temporary_directory=None): + copy_parquet=None, temporary_directory=None, + sidecars={}): """Publish the hosted selected-file layout and success marker last. Filesystem/authentication and retry wrappers stay with the caller. The directory ownership, output names and CSV retry decisions are shared. + ``sidecars`` (name to bytes) are written into a directory destination + after the data and before ``_SUCCESS``; ``fs`` then needs ``write_bytes``. """ import os.path as osp import tempfile + output_is_dir = output_path.endswith('/') or len(files) > 1 output_path, _ = prepare_export_destination( - output_path, output_is_dir=output_path.endswith('/') or len(files) > 1, - file_type=file_type, fs=fs, identity=identity) + output_path, output_is_dir=output_is_dir, file_type=file_type, fs=fs, + identity=identity) if file_type == 'parquet': if copy_parquet is None: @@ -230,6 +234,9 @@ def export_selected_files(files, output_path, *, fs, identity, else: raise ValueError(f'Unsupported artifact file type: {file_type}') + if output_is_dir: + for name, payload in sidecars.items(): + fs.write_bytes(osp.join(output_path, name), payload) return publish_export_destination(output_path, fs=fs) diff --git a/packages/kumo-core/src/kumo_core/object_store_sink.py b/packages/kumo-core/src/kumo_core/object_store_sink.py index ec34f89f9..7ce7b5c84 100644 --- a/packages/kumo-core/src/kumo_core/object_store_sink.py +++ b/packages/kumo-core/src/kumo_core/object_store_sink.py @@ -55,8 +55,13 @@ def write_table( def write_files(self, connector, table_name, files, write_mode=WriteMode.OVERWRITE, project_id=None, *, - export_id=None, extra_columns=None): - """Export selected Parquet without collecting their rows.""" + export_id=None, extra_columns=None, + sidecars: Mapping[str, bytes] = {}): + """Export selected Parquet without collecting their rows. + + ``sidecars`` are written into a directory destination before + ``_SUCCESS``. + """ del project_id if write_mode is not WriteMode.OVERWRITE: raise NotImplementedError( @@ -69,9 +74,22 @@ def write_files(self, connector, table_name, files, _, output = export_selected_files(files, path, fs=storage, identity=export_id or str(files), file_type=kind, - convert_csv=storage.convert_csv) + convert_csv=storage.convert_csv, + sidecars=sidecars) return f'{self.scheme}://{output}' + def read_sidecar(self, connector: SourceConnector, table_name: str, + name: str) -> Optional[bytes]: + """Return the file ``name`` inside directory ``table_name``, if any.""" + from pyarrow.fs import FileType + + filesystem, path = self._destination(connector, table_name) + target = f"{path.rstrip('/')}/{name}" + if filesystem.get_file_info(target).type is not FileType.File: + return None + with filesystem.open_input_stream(target) as reader: + return reader.readall() + def publish_model( self, connector: SourceConnector, @@ -282,8 +300,11 @@ def read_text(self, path): return reader.readall().decode('utf-8') def write_text(self, path, value): + self.write_bytes(path, value.encode('utf-8')) + + def write_bytes(self, path, value): with self.filesystem.open_output_stream(path) as writer: - writer.write(value.encode('utf-8')) + writer.write(value) def makedirs(self, path, exist_ok=True): _prepared(self.filesystem, path) diff --git a/packages/kumo-core/tests/test_artifact_export.py b/packages/kumo-core/tests/test_artifact_export.py index 39aba03b2..726d6847c 100644 --- a/packages/kumo-core/tests/test_artifact_export.py +++ b/packages/kumo-core/tests/test_artifact_export.py @@ -222,3 +222,32 @@ def interrupted(source, destination, **kwargs): pd.testing.assert_frame_equal(pd.read_csv(target / 'part-00000.csv'), expected) assert (target / '_SUCCESS').exists() + + +@pytest.mark.parametrize('directory', [True, False]) +def test_sidecars_are_written_before_success(tmp_path, monkeypatch, + directory): + import pyarrow.parquet as pq + from kumo_core.artifact_export import export_selected_files + from kumo_core.object_store_sink import _ArrowExportFiles + from pyarrow.fs import LocalFileSystem + + source = tmp_path / 'part-0.parquet' + pq.write_table(pa.table({'id': [1]}), source) + target = tmp_path / 'output' + fs = _ArrowExportFiles(LocalFileSystem(), None) + touched = fs.touch + + def touch(path): + assert (target / 'meta.json').read_bytes() == b'{}' + touched(path) + + monkeypatch.setattr(fs, 'touch', touch) + export_selected_files([str(source)], + str(target) + ('/' if directory else ''), fs=fs, + identity='job-1', sidecars={'meta.json': b'{}'}) + if directory: + assert (target / '_SUCCESS').exists() + else: + assert not (target / 'meta.json').exists() + assert pq.read_table(tmp_path / 'output.parquet').num_rows == 1 diff --git a/packages/kumo-engine/kumo/engine/pquery/predictive_query.py b/packages/kumo-engine/kumo/engine/pquery/predictive_query.py index 20fb51a9e..32736e86d 100644 --- a/packages/kumo-engine/kumo/engine/pquery/predictive_query.py +++ b/packages/kumo-engine/kumo/engine/pquery/predictive_query.py @@ -90,7 +90,7 @@ PredictionTable, _compile_prediction_table, ) -from kumo.engine.pquery.training_table import TrainingTable +from kumo.engine.pquery.training_table import TrainingTable, _record_manifest logger = logging.getLogger(__name__) @@ -308,7 +308,7 @@ def generate_training_table( or {})), ) - return TrainingTable( + table = TrainingTable( query=self.query, train_table_path=Path(generated.train_table_path), manifest_path=Path(generated.manifest_path), @@ -316,6 +316,8 @@ def generate_training_table( required_stages=task_plan.task_dataset.required_stages, generation_plan=generation_plan, ) + _record_manifest(table, snapshot, task_plan.train_table, 'pql') + return table def generate_prediction_table( self, diff --git a/packages/kumo-engine/kumo/engine/pquery/training_table.py b/packages/kumo-engine/kumo/engine/pquery/training_table.py index ae58aac63..9fab4ba7d 100644 --- a/packages/kumo-engine/kumo/engine/pquery/training_table.py +++ b/packages/kumo-engine/kumo/engine/pquery/training_table.py @@ -2,21 +2,32 @@ # All rights reserved. # SPDX-License-Identifier: Apache-2.0 +import hashlib +import json +import logging +import warnings from dataclasses import dataclass, replace from pathlib import Path -from typing import TYPE_CHECKING, Optional +from typing import TYPE_CHECKING, Any, Dict, Optional, Sequence, Tuple from kumo_core.model_plan import TrainingTableGenerationPlan from kumoapi.model_plan import \ TrainingTableGenerationPlan as PublicGenerationPlan from kumoapi.train import TrainingTableSpec +from kumo.engine._manifest import new_manifest, read_manifest, write_manifest from kumo.engine.connector.source_table import SourceTable from kumo.engine.graph import GraphSnapshot if TYPE_CHECKING: from kumo.engine.trainer.output_config import TrainingTableOutputConfig +logger = logging.getLogger(__name__) + +STAGING_MANIFEST_FILE = 'training-table-manifest.json' +EXPORT_MANIFEST_FILE = '_kumo_manifest.json' +_RANDOM_SPLITS = ('RandomSplit', 'RandomLinkSplit') + @dataclass(frozen=True) class TrainingTable: @@ -38,6 +49,18 @@ class TrainingTable: #: Effective generation settings carried forward into ``Trainer.fit``. generation_plan: TrainingTableGenerationPlan + @property + def tt_id(self) -> str: + """The id DiskGraph assigned to this table at generation.""" + from kumo_core.training.export import read_spec + + return read_spec(str(self.staging_dir))['tt_id'] + + @property + def manifest(self) -> Optional[Dict[str, Any]]: + """Lineage recorded at generation; None for older tables.""" + return read_manifest(self.staging_dir / STAGING_MANIFEST_FILE) + def export(self, output_config: "TrainingTableOutputConfig") -> str: r"""Write the staged rows with a ``SPLIT`` column (``0`` train, ``1`` validation, ``2`` test) for :meth:`from_source_table`. Returns the @@ -62,8 +85,40 @@ def export(self, output_config: "TrainingTableOutputConfig") -> str: root.mkdir(parents=True, exist_ok=True) with tempfile.TemporaryDirectory(dir=root) as output: files = export_train_table(str(self.staging_dir), output) + payload = self._export_manifest(connector, output_config, files, + export_id) + extra = ({} if payload is None else { + 'sidecars': { + EXPORT_MANIFEST_FILE: payload + } + }) return write_files(connector, output_config.table_name, files, - output_config.write_mode, export_id=export_id) + output_config.write_mode, export_id=export_id, + **extra) + + def _export_manifest(self, connector, output_config, files: Sequence[str], + export_id: str) -> Optional[bytes]: + from kumo_core.object_store_sink import ObjectStoreSinkBackend + + if (not isinstance(connector.sink_backend, ObjectStoreSinkBackend) + or not (output_config.table_name.endswith('/') + or len(files) > 1)): + logger.debug('Training-table lineage is only recorded for ' + 'directory exports to files or object stores.') + return None + try: + manifest = self.manifest + if manifest is None: + return None + manifest.update(content_sha256=_content_digest(files), + export_identity=export_id) + return (json.dumps(manifest, indent=2, sort_keys=True) + + '\n').encode('utf-8') + except Exception as error: + warnings.warn( + f"Exporting without a training-table manifest: {error}", + UserWarning, stacklevel=3) + return None @classmethod def from_source_table( @@ -127,6 +182,7 @@ def from_source_table( run_id = new_run_id() run_dir = train_table_scratch_dir(run_id) rows_path = stage_source_table(source_table, run_dir / "source-table") + derived_from, modified = _export_lineage(source_table, rows_path) generation_plan = from_json_dict( to_json_dict(public_plan), TrainingTableGenerationPlan, @@ -183,7 +239,7 @@ def from_source_table( year_over_year=("yoy_offsets_secs" in (task_plan.train_table.compiler_options or {})), ) - return cls( + table = cls( query=pq.query, train_table_path=Path(generated.train_table_path), manifest_path=Path(generated.manifest_path), @@ -191,3 +247,88 @@ def from_source_table( required_stages=task_plan.task_dataset.required_stages, generation_plan=generation_plan, ) + _record_manifest(table, snapshot, task_plan.train_table, 'custom', + derived_from, modified=modified) + return table + + +def _record_manifest(table: TrainingTable, snapshot: GraphSnapshot, + request: Any, source: str, + derived_from: Optional[str] = None, + **fields: Any) -> None: + path = table.staging_dir / STAGING_MANIFEST_FILE + try: + from kumo_core.io.json import to_json_dict + from kumo_core.training.export import read_spec + + spec = read_spec(str(table.staging_dir)) + seed = None + if request.split_family in _RANDOM_SPLITS: + seed = (request.split_config or {}).get('rnd_seed') or 0 + parents = { + 'snapshot': snapshot.id, + 'derived_from': derived_from, + } + write_manifest( + path, + new_manifest( + 'training_table', spec['tt_id'], parents, + query=table.query, + generation_plan=to_json_dict(table.generation_plan), + task_type=request.task_type, + rows={ + stage['key']: stage['row_count'] + for stage in spec.get('split_stages') or [] + }, + split_seed=seed, + source=source, + **fields, + )) + except Exception as error: + warnings.warn( + f"Could not write the training-table manifest at {path}: " + f"{error}", UserWarning, stacklevel=3) + + +def _content_digest(paths: Sequence[Any]) -> str: + digests = [] + for path in paths: + digest = hashlib.sha256() + with open(path, 'rb') as handle: + for chunk in iter(lambda: handle.read(1 << 20), b''): + digest.update(chunk) + digests.append(digest.hexdigest()) + return hashlib.sha256(''.join(sorted(digests)).encode()).hexdigest() + + +def _export_lineage(source_table: SourceTable, + parts: Path) -> Tuple[Optional[str], Optional[bool]]: + from kumo_core.artifact_export import EXPORT_MARKER_NAME, export_marker + from kumo_core.object_store_sink import ObjectStoreSinkBackend + + connector = source_table.connector + try: + backend = connector.sink_backend + except NotImplementedError: + return None, None + if source_table.sql is not None or not isinstance( + backend, ObjectStoreSinkBackend): + return None, None + name = source_table.table_name + try: + payload = backend.read_sidecar(connector, name, EXPORT_MANIFEST_FILE) + if payload is None: + return None, None + exported = json.loads(payload) + marker = backend.read_sidecar(connector, name, EXPORT_MARKER_NAME) + if marker is None or marker.decode('utf-8') != export_marker( + exported['export_identity']): + logger.debug('%s does not belong to the export it records', name) + return None, None + digest = _content_digest(sorted(parts.glob('*.parquet'))) + return exported['id'], digest != exported['content_sha256'] + except Exception as error: + warnings.warn( + f"Ignoring the training-table manifest of {name!r}: {error}", + UserWarning, stacklevel=3) + return None, None diff --git a/packages/kumo-engine/test/test_training_table_export.py b/packages/kumo-engine/test/test_training_table_export.py index cedee0e8c..296a3fcd7 100644 --- a/packages/kumo-engine/test/test_training_table_export.py +++ b/packages/kumo-engine/test/test_training_table_export.py @@ -2,13 +2,17 @@ # All rights reserved. # SPDX-License-Identifier: Apache-2.0 +import hashlib import json +import shutil from collections import Counter from functools import partial +from types import SimpleNamespace import numpy as np import pandas as pd import pyarrow as pa +import pyarrow.compute as pc import pyarrow.parquet as pq import pytest from kumoapi.graph import Edge @@ -292,3 +296,143 @@ def test_custom_training_table_declares_integer_timestamp_unit(graph, unit, for stage in seeds: columns = ['ENTITY1', 'TIMESTAMP', 'TARGET1'] assert _rows(seeds[stage], columns) == _rows(original_seeds[stage], columns) + + +def _digest(paths): + return hashlib.sha256(''.join( + sorted(hashlib.sha256(p.read_bytes()).hexdigest() + for p in paths)).encode()).hexdigest() + + +def _reload(graph, name, pquery): + _, snapshot, connector, _ = graph + return kumo.TrainingTable.from_source_table( + connector[name], TrainingTableSpec(split_col='SPLIT'), pq=pquery, + snapshot=snapshot) + + +def test_manifest_lineage_across_export_and_reload(graph, tmp_path): + from kumo_core.training.export import export_train_table, identity + + _, snapshot, connector, out = graph + query = 'PREDICT ents.LABEL FOR EACH ents.ID' + pquery, table, _ = _export(graph, query, 'lineage') + manifest = table.manifest + assert manifest['kind'] == 'training_table' + assert manifest['id'] == table.tt_id == _spec(table)['tt_id'] + assert manifest['parents'] == { + 'snapshot': snapshot.id, + 'derived_from': None + } + assert (manifest['query'], manifest['source']) == (query, 'pql') + assert manifest['task_type'] == 'binary_classification' + assert manifest['rows'] == _seeds(table)[1] + assert manifest['split_seed'] == 0 + assert manifest['generation_plan']['split'] == 'inferred' + + directory = out / 'lineage' + parts = sorted(directory.glob('*.parquet')) + baseline = tmp_path / 'baseline' + expected = export_train_table(str(table.staging_dir), str(baseline)) + assert [p.name for p in parts] == [p.split('/')[-1] for p in expected] + assert [p.read_bytes() for p in parts] == [ + (baseline / p.name).read_bytes() for p in parts + ] + assert sorted(p.name for p in directory.iterdir()) == sorted( + [p.name for p in parts] + + ['_KUMO_EXPORT', '_SUCCESS', '_kumo_manifest.json']) + sidecar = (directory / '_kumo_manifest.json').read_bytes() + assert json.loads(sidecar) == { + **manifest, 'content_sha256': _digest(parts), + 'export_identity': identity(_spec(table)) + } + + table.export(TrainingTableOutputConfig(connector, 'lineage')) + assert (directory / '_kumo_manifest.json').read_bytes() == sidecar + assert [p.read_bytes() for p in parts] == [ + (baseline / p.name).read_bytes() for p in parts + ] + + reloaded = _reload(graph, 'lineage', pquery).manifest + assert reloaded['parents'] == { + 'snapshot': snapshot.id, + 'derived_from': table.tt_id + } + assert (reloaded['source'], reloaded['modified']) == ('custom', False) + assert reloaded['id'] != table.tt_id + + edited = out / 'lineage_edited' + shutil.copytree(directory, edited) + rows = pq.read_table(parts[0]) + flipped = pc.invert(rows['TARGET1']) + pq.write_table(rows.set_column(rows.schema.get_field_index('TARGET1'), + 'TARGET1', flipped), + edited / parts[0].name) + edited_manifest = _reload(graph, 'lineage_edited', pquery).manifest + assert edited_manifest['parents']['derived_from'] == table.tt_id + assert edited_manifest['modified'] is True + + +@pytest.mark.parametrize('damage', ['missing', 'garbled', 'foreign']) +def test_reload_without_matching_sidecar_records_no_lineage(graph, damage): + _, snapshot, connector, out = graph + pquery, table, _ = _export(graph, 'PREDICT ents.LABEL FOR EACH ents.ID', + f'unlinked_base_{damage}') + directory = out / f'unlinked_{damage}' + shutil.copytree(out / f'unlinked_base_{damage}', directory) + sidecar = directory / '_kumo_manifest.json' + if damage == 'missing': + sidecar.unlink() + elif damage == 'garbled': + sidecar.write_text('{not json') + else: + (directory / '_KUMO_EXPORT').write_text('another export') + + if damage == 'garbled': + with pytest.warns(UserWarning, match='training-table manifest'): + reloaded = _reload(graph, directory.name, pquery) + else: + reloaded = _reload(graph, directory.name, pquery) + assert reloaded.manifest['parents'] == { + 'snapshot': snapshot.id, + 'derived_from': None + } + assert reloaded.manifest['modified'] is None + assert _seeds(reloaded)[1] == _seeds(table)[1] + + +def test_manifest_write_failure_keeps_generation_and_export( + graph, monkeypatch): + from kumo.engine.pquery import training_table + + _, _, connector, out = graph + + def fail(*args, **kwargs): + raise OSError('read-only scratch') + + monkeypatch.setattr(training_table, 'write_manifest', fail) + with pytest.warns(UserWarning, match='read-only scratch'): + pquery, table, exported = _export( + graph, 'PREDICT ents.LABEL FOR EACH ents.ID', 'no_manifest') + assert table.manifest is None + assert not (out / 'no_manifest' / '_kumo_manifest.json').exists() + assert (out / 'no_manifest' / '_SUCCESS').exists() + assert exported.num_rows == sum(_seeds(table)[1].values()) + + +def test_warehouse_sink_receives_no_sidecars(graph): + graph_, snapshot, _, _ = graph + table = kumo.PredictiveQuery( + graph=graph_, query='PREDICT ents.LABEL FOR EACH ents.ID' + ).generate_training_table(snapshot) + calls = [] + + def write_files(connector, table_name, files, write_mode, **kwargs): + calls.append(kwargs) + return table_name + + connector = SimpleNamespace( + source_type='SNOWFLAKE', + sink_backend=SimpleNamespace(write_files=write_files)) + table.export(TrainingTableOutputConfig(connector, 'DB.SCHEMA.TT')) + assert calls == [{'export_id': f'{table.tt_id}:tt-export-v1'}] From e9778aea4aa8f34c611f06aa4915991b03e234b6 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Tue, 20 Oct 2026 20:40:33 +0000 Subject: [PATCH 021/123] Digest exported parts at the source for training-table lineage Reload compared the export digest against the staged copy, but staging re-encodes some Parquet (narrow integer keys, list columns, dictionary columns), so an untouched export could read as modified. The digest is now read from the export directory itself: ObjectStoreSinkBackend.content_digest streams the visible Parquet parts through the connector filesystem, and artifact_export.content_sha256 is the one formula export and reload share. Sink lookup moves inside the best-effort guard, a missing sidecar or destination logs at debug, CSV directory exports get no sidecar, and _record_manifest lineage arguments are keyword-only. Verified with a reload of an export carrying a list weight column (staged bytes differ, modified stays false), a CSV directory export, and the training-table export, custom-source and artifact-export suites. Co-Authored-By: Claude Opus 5.5 --- .../src/kumo_core/artifact_export.py | 5 ++ .../src/kumo_core/object_store_sink.py | 24 +++++++++ .../kumo/engine/pquery/training_table.py | 49 ++++++++++--------- .../test/test_training_table_export.py | 46 +++++++++++++++++ 4 files changed, 102 insertions(+), 22 deletions(-) diff --git a/packages/kumo-core/src/kumo_core/artifact_export.py b/packages/kumo-core/src/kumo_core/artifact_export.py index 8abd316d6..bb34aed00 100644 --- a/packages/kumo-core/src/kumo_core/artifact_export.py +++ b/packages/kumo-core/src/kumo_core/artifact_export.py @@ -139,6 +139,11 @@ def _renderable(column: "pd.Series") -> bool: or pa.types.is_fixed_size_list(arrow)) +def content_sha256(part_digests) -> str: + """Digest of an export's parts from their sha256 hex digests, any order.""" + return hashlib.sha256(''.join(sorted(part_digests)).encode()).hexdigest() + + class ArtifactDestinationConflict(ValueError): """A directory belongs to another export.""" diff --git a/packages/kumo-core/src/kumo_core/object_store_sink.py b/packages/kumo-core/src/kumo_core/object_store_sink.py index 7ce7b5c84..f5e7a66fd 100644 --- a/packages/kumo-core/src/kumo_core/object_store_sink.py +++ b/packages/kumo-core/src/kumo_core/object_store_sink.py @@ -78,6 +78,30 @@ def write_files(self, connector, table_name, files, sidecars=sidecars) return f'{self.scheme}://{output}' + def content_digest(self, connector: SourceConnector, + table_name: str) -> str: + """``content_sha256`` of the visible Parquet parts in ``table_name``.""" + import hashlib + + from kumo_core.artifact_export import content_sha256 + from kumo_core.sources import layout + from pyarrow.fs import FileSelector, FileType + + filesystem, path = self._destination(connector, table_name) + digests = [] + for info in filesystem.get_file_info( + FileSelector(path.rstrip('/'), allow_not_found=True)): + if (info.type is not FileType.File + or layout.is_hidden(info.base_name) + or layout.file_type(info.base_name) != layout.PARQUET): + continue + digest = hashlib.sha256() + with filesystem.open_input_stream(info.path) as reader: + while chunk := reader.read(_CHUNK): + digest.update(chunk) + digests.append(digest.hexdigest()) + return content_sha256(digests) + def read_sidecar(self, connector: SourceConnector, table_name: str, name: str) -> Optional[bytes]: """Return the file ``name`` inside directory ``table_name``, if any.""" diff --git a/packages/kumo-engine/kumo/engine/pquery/training_table.py b/packages/kumo-engine/kumo/engine/pquery/training_table.py index 9fab4ba7d..b9e652857 100644 --- a/packages/kumo-engine/kumo/engine/pquery/training_table.py +++ b/packages/kumo-engine/kumo/engine/pquery/training_table.py @@ -2,7 +2,6 @@ # All rights reserved. # SPDX-License-Identifier: Apache-2.0 -import hashlib import json import logging import warnings @@ -99,10 +98,13 @@ def export(self, output_config: "TrainingTableOutputConfig") -> str: def _export_manifest(self, connector, output_config, files: Sequence[str], export_id: str) -> Optional[bytes]: from kumo_core.object_store_sink import ObjectStoreSinkBackend + from kumo_core.sources import layout + name = output_config.table_name if (not isinstance(connector.sink_backend, ObjectStoreSinkBackend) - or not (output_config.table_name.endswith('/') - or len(files) > 1)): + or not (name.endswith('/') or len(files) > 1) + or layout.file_type(name.rstrip('/')) not in ( + None, layout.PARQUET)): logger.debug('Training-table lineage is only recorded for ' 'directory exports to files or object stores.') return None @@ -182,7 +184,7 @@ def from_source_table( run_id = new_run_id() run_dir = train_table_scratch_dir(run_id) rows_path = stage_source_table(source_table, run_dir / "source-table") - derived_from, modified = _export_lineage(source_table, rows_path) + derived_from, modified = _export_lineage(source_table) generation_plan = from_json_dict( to_json_dict(public_plan), TrainingTableGenerationPlan, @@ -248,12 +250,12 @@ def from_source_table( generation_plan=generation_plan, ) _record_manifest(table, snapshot, task_plan.train_table, 'custom', - derived_from, modified=modified) + derived_from=derived_from, modified=modified) return table def _record_manifest(table: TrainingTable, snapshot: GraphSnapshot, - request: Any, source: str, + request: Any, source: str, *, derived_from: Optional[str] = None, **fields: Any) -> None: path = table.staging_dir / STAGING_MANIFEST_FILE @@ -290,42 +292,45 @@ def _record_manifest(table: TrainingTable, snapshot: GraphSnapshot, f"{error}", UserWarning, stacklevel=3) -def _content_digest(paths: Sequence[Any]) -> str: +def _content_digest(paths: Sequence[str]) -> str: + import hashlib + + from kumo_core.artifact_export import content_sha256 + digests = [] for path in paths: - digest = hashlib.sha256() with open(path, 'rb') as handle: - for chunk in iter(lambda: handle.read(1 << 20), b''): - digest.update(chunk) - digests.append(digest.hexdigest()) - return hashlib.sha256(''.join(sorted(digests)).encode()).hexdigest() + digests.append(hashlib.file_digest(handle, 'sha256').hexdigest()) + return content_sha256(digests) -def _export_lineage(source_table: SourceTable, - parts: Path) -> Tuple[Optional[str], Optional[bool]]: +def _export_lineage( + source_table: SourceTable) -> Tuple[Optional[str], Optional[bool]]: from kumo_core.artifact_export import EXPORT_MARKER_NAME, export_marker from kumo_core.object_store_sink import ObjectStoreSinkBackend connector = source_table.connector - try: - backend = connector.sink_backend - except NotImplementedError: - return None, None - if source_table.sql is not None or not isinstance( - backend, ObjectStoreSinkBackend): - return None, None name = source_table.table_name try: + backend = connector.sink_backend + if source_table.sql is not None or not isinstance( + backend, ObjectStoreSinkBackend): + return None, None payload = backend.read_sidecar(connector, name, EXPORT_MANIFEST_FILE) if payload is None: + logger.debug('%s has no training-table manifest', name) return None, None + except Exception as error: + logger.debug('No training-table manifest for %s: %s', name, error) + return None, None + try: exported = json.loads(payload) marker = backend.read_sidecar(connector, name, EXPORT_MARKER_NAME) if marker is None or marker.decode('utf-8') != export_marker( exported['export_identity']): logger.debug('%s does not belong to the export it records', name) return None, None - digest = _content_digest(sorted(parts.glob('*.parquet'))) + digest = backend.content_digest(connector, name) return exported['id'], digest != exported['content_sha256'] except Exception as error: warnings.warn( diff --git a/packages/kumo-engine/test/test_training_table_export.py b/packages/kumo-engine/test/test_training_table_export.py index 296a3fcd7..4fc947f67 100644 --- a/packages/kumo-engine/test/test_training_table_export.py +++ b/packages/kumo-engine/test/test_training_table_export.py @@ -436,3 +436,49 @@ def write_files(connector, table_name, files, write_mode, **kwargs): sink_backend=SimpleNamespace(write_files=write_files)) table.export(TrainingTableOutputConfig(connector, 'DB.SCHEMA.TT')) assert calls == [{'export_id': f'{table.tt_id}:tt-export-v1'}] + + +def test_reencoded_staging_does_not_mark_export_modified(graph, monkeypatch): + from kumo.engine.pquery import _custom_source + + _, snapshot, connector, out = graph + query = ('PREDICT LIST_DISTINCT(events.ITEM_ID, 0, 7, days) ' + 'RANK TOP 3 FOR EACH ents.ID') + pquery, table, _ = _export(graph, query, 'lineage_weighted') + directory = out / 'lineage_weighted' + parts = sorted(directory.glob('*.parquet')) + for part in parts: + rows = pq.read_table(part) + weights = pa.array([[1.0] * len(values) + for values in rows['TARGET1'].to_pylist()], + pa.list_(pa.float64())) + pq.write_table(rows.append_column('WEIGHT', weights), part) + sidecar = directory / '_kumo_manifest.json' + sidecar.write_text(json.dumps({ + **json.loads(sidecar.read_text()), 'content_sha256': _digest(parts) + })) + staged = [] + stage_source_table = _custom_source.stage_source_table + + def capture(*args, **kwargs): + staged.append(stage_source_table(*args, **kwargs)) + return staged[-1] + + monkeypatch.setattr(_custom_source, 'stage_source_table', capture) + manifest = kumo.TrainingTable.from_source_table( + connector['lineage_weighted'], + TrainingTableSpec(weight_col='WEIGHT', split_col='SPLIT'), + pq=pquery, snapshot=snapshot).manifest + assert _digest(sorted(staged[0].glob('*.parquet'))) != _digest(parts) + assert manifest['parents']['derived_from'] == table.tt_id + assert manifest['modified'] is False + + +def test_csv_directory_export_gets_no_sidecar(graph): + graph_, snapshot, connector, out = graph + table = kumo.PredictiveQuery( + graph=graph_, query='PREDICT ents.LABEL FOR EACH ents.ID' + ).generate_training_table(snapshot) + table.export(TrainingTableOutputConfig(connector, 'rows.csv/')) + names = {p.name for p in (out / 'rows.csv').iterdir()} + assert '_SUCCESS' in names and '_kumo_manifest.json' not in names From 0a496926ef9821d85a597d97184b1996a727130f Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 06:56:27 +0000 Subject: [PATCH 022/123] Record a custom table's source instead of re-reading its export Reload lineage (derived_from, modified) read the export sidecar back and re-downloaded and hashed every part to compare against content_sha256: a second full remote read on top of staging, for a flag that could only be recorded. A custom table now records where its rows came from in parents.source_table: the full location (absolute path for a FileConnector, the full s3:// or gs:// URI for object stores, the fully qualified name for warehouse tables, a sha256 of the SQL for Custom SQL) and the connector's get_data_version stamp. Either is null with a warning when it cannot be determined. The export sidecar stays write-only and now holds just the training-table manifest; derived_from, modified, content_sha256, export_identity, ObjectStoreSinkBackend.read_sidecar and content_digest are removed. No engine code reads the sidecar. Verified with the training-table export, custom-source, snapshot-manifest and kumo-core artifact-export suites, including a FileConnector reload recording its path and version, failing location and version lookups recording nulls, and S3, warehouse and SQL location rendering. Co-Authored-By: Claude Opus 5.5 --- .../src/kumo_core/artifact_export.py | 5 - .../src/kumo_core/object_store_sink.py | 36 ---- .../kumo/engine/pquery/training_table.py | 124 ++++++-------- .../test/test_training_table_export.py | 162 +++++++----------- 4 files changed, 120 insertions(+), 207 deletions(-) diff --git a/packages/kumo-core/src/kumo_core/artifact_export.py b/packages/kumo-core/src/kumo_core/artifact_export.py index bb34aed00..8abd316d6 100644 --- a/packages/kumo-core/src/kumo_core/artifact_export.py +++ b/packages/kumo-core/src/kumo_core/artifact_export.py @@ -139,11 +139,6 @@ def _renderable(column: "pd.Series") -> bool: or pa.types.is_fixed_size_list(arrow)) -def content_sha256(part_digests) -> str: - """Digest of an export's parts from their sha256 hex digests, any order.""" - return hashlib.sha256(''.join(sorted(part_digests)).encode()).hexdigest() - - class ArtifactDestinationConflict(ValueError): """A directory belongs to another export.""" diff --git a/packages/kumo-core/src/kumo_core/object_store_sink.py b/packages/kumo-core/src/kumo_core/object_store_sink.py index f5e7a66fd..99848ebd3 100644 --- a/packages/kumo-core/src/kumo_core/object_store_sink.py +++ b/packages/kumo-core/src/kumo_core/object_store_sink.py @@ -78,42 +78,6 @@ def write_files(self, connector, table_name, files, sidecars=sidecars) return f'{self.scheme}://{output}' - def content_digest(self, connector: SourceConnector, - table_name: str) -> str: - """``content_sha256`` of the visible Parquet parts in ``table_name``.""" - import hashlib - - from kumo_core.artifact_export import content_sha256 - from kumo_core.sources import layout - from pyarrow.fs import FileSelector, FileType - - filesystem, path = self._destination(connector, table_name) - digests = [] - for info in filesystem.get_file_info( - FileSelector(path.rstrip('/'), allow_not_found=True)): - if (info.type is not FileType.File - or layout.is_hidden(info.base_name) - or layout.file_type(info.base_name) != layout.PARQUET): - continue - digest = hashlib.sha256() - with filesystem.open_input_stream(info.path) as reader: - while chunk := reader.read(_CHUNK): - digest.update(chunk) - digests.append(digest.hexdigest()) - return content_sha256(digests) - - def read_sidecar(self, connector: SourceConnector, table_name: str, - name: str) -> Optional[bytes]: - """Return the file ``name`` inside directory ``table_name``, if any.""" - from pyarrow.fs import FileType - - filesystem, path = self._destination(connector, table_name) - target = f"{path.rstrip('/')}/{name}" - if filesystem.get_file_info(target).type is not FileType.File: - return None - with filesystem.open_input_stream(target) as reader: - return reader.readall() - def publish_model( self, connector: SourceConnector, diff --git a/packages/kumo-engine/kumo/engine/pquery/training_table.py b/packages/kumo-engine/kumo/engine/pquery/training_table.py index b9e652857..924ef06ca 100644 --- a/packages/kumo-engine/kumo/engine/pquery/training_table.py +++ b/packages/kumo-engine/kumo/engine/pquery/training_table.py @@ -7,7 +7,7 @@ import warnings from dataclasses import dataclass, replace from pathlib import Path -from typing import TYPE_CHECKING, Any, Dict, Optional, Sequence, Tuple +from typing import TYPE_CHECKING, Any, Dict, Optional, Sequence from kumo_core.model_plan import TrainingTableGenerationPlan from kumoapi.model_plan import \ @@ -84,8 +84,7 @@ def export(self, output_config: "TrainingTableOutputConfig") -> str: root.mkdir(parents=True, exist_ok=True) with tempfile.TemporaryDirectory(dir=root) as output: files = export_train_table(str(self.staging_dir), output) - payload = self._export_manifest(connector, output_config, files, - export_id) + payload = self._export_manifest(connector, output_config, files) extra = ({} if payload is None else { 'sidecars': { EXPORT_MANIFEST_FILE: payload @@ -95,8 +94,8 @@ def export(self, output_config: "TrainingTableOutputConfig") -> str: output_config.write_mode, export_id=export_id, **extra) - def _export_manifest(self, connector, output_config, files: Sequence[str], - export_id: str) -> Optional[bytes]: + def _export_manifest(self, connector, output_config, + files: Sequence[str]) -> Optional[bytes]: from kumo_core.object_store_sink import ObjectStoreSinkBackend from kumo_core.sources import layout @@ -105,22 +104,14 @@ def _export_manifest(self, connector, output_config, files: Sequence[str], or not (name.endswith('/') or len(files) > 1) or layout.file_type(name.rstrip('/')) not in ( None, layout.PARQUET)): - logger.debug('Training-table lineage is only recorded for ' - 'directory exports to files or object stores.') + logger.debug('Training-table manifests are only exported to ' + 'Parquet directories on files or object stores.') return None - try: - manifest = self.manifest - if manifest is None: - return None - manifest.update(content_sha256=_content_digest(files), - export_identity=export_id) - return (json.dumps(manifest, indent=2, sort_keys=True) + - '\n').encode('utf-8') - except Exception as error: - warnings.warn( - f"Exporting without a training-table manifest: {error}", - UserWarning, stacklevel=3) + manifest = self.manifest + if manifest is None: return None + return (json.dumps(manifest, indent=2, sort_keys=True) + + '\n').encode('utf-8') @classmethod def from_source_table( @@ -184,7 +175,7 @@ def from_source_table( run_id = new_run_id() run_dir = train_table_scratch_dir(run_id) rows_path = stage_source_table(source_table, run_dir / "source-table") - derived_from, modified = _export_lineage(source_table) + lineage = _source_lineage(source_table) generation_plan = from_json_dict( to_json_dict(public_plan), TrainingTableGenerationPlan, @@ -250,14 +241,13 @@ def from_source_table( generation_plan=generation_plan, ) _record_manifest(table, snapshot, task_plan.train_table, 'custom', - derived_from=derived_from, modified=modified) + source_table=lineage) return table def _record_manifest(table: TrainingTable, snapshot: GraphSnapshot, request: Any, source: str, *, - derived_from: Optional[str] = None, - **fields: Any) -> None: + source_table: Optional[Dict[str, Any]] = None) -> None: path = table.staging_dir / STAGING_MANIFEST_FILE try: from kumo_core.io.json import to_json_dict @@ -267,10 +257,9 @@ def _record_manifest(table: TrainingTable, snapshot: GraphSnapshot, seed = None if request.split_family in _RANDOM_SPLITS: seed = (request.split_config or {}).get('rnd_seed') or 0 - parents = { - 'snapshot': snapshot.id, - 'derived_from': derived_from, - } + parents: Dict[str, Any] = {'snapshot': snapshot.id} + if source_table is not None: + parents['source_table'] = source_table write_manifest( path, new_manifest( @@ -284,7 +273,6 @@ def _record_manifest(table: TrainingTable, snapshot: GraphSnapshot, }, split_seed=seed, source=source, - **fields, )) except Exception as error: warnings.warn( @@ -292,48 +280,44 @@ def _record_manifest(table: TrainingTable, snapshot: GraphSnapshot, f"{error}", UserWarning, stacklevel=3) -def _content_digest(paths: Sequence[str]) -> str: - import hashlib - - from kumo_core.artifact_export import content_sha256 - - digests = [] - for path in paths: - with open(path, 'rb') as handle: - digests.append(hashlib.file_digest(handle, 'sha256').hexdigest()) - return content_sha256(digests) - - -def _export_lineage( - source_table: SourceTable) -> Tuple[Optional[str], Optional[bool]]: - from kumo_core.artifact_export import EXPORT_MARKER_NAME, export_marker - from kumo_core.object_store_sink import ObjectStoreSinkBackend - - connector = source_table.connector - name = source_table.table_name +def _source_lineage(source_table: SourceTable) -> Dict[str, Optional[str]]: + connector, name, sql = (source_table.connector, source_table.table_name, + source_table.sql) + lineage: Dict[str, Optional[str]] = {'location': None, 'version': None} try: - backend = connector.sink_backend - if source_table.sql is not None or not isinstance( - backend, ObjectStoreSinkBackend): - return None, None - payload = backend.read_sidecar(connector, name, EXPORT_MANIFEST_FILE) - if payload is None: - logger.debug('%s has no training-table manifest', name) - return None, None - except Exception as error: - logger.debug('No training-table manifest for %s: %s', name, error) - return None, None - try: - exported = json.loads(payload) - marker = backend.read_sidecar(connector, name, EXPORT_MARKER_NAME) - if marker is None or marker.decode('utf-8') != export_marker( - exported['export_identity']): - logger.debug('%s does not belong to the export it records', name) - return None, None - digest = backend.content_digest(connector, name) - return exported['id'], digest != exported['content_sha256'] + lineage['location'] = _location(connector, name, sql) except Exception as error: warnings.warn( - f"Ignoring the training-table manifest of {name!r}: {error}", - UserWarning, stacklevel=3) - return None, None + f"Could not record where the custom table was loaded from: " + f"{error}", UserWarning, stacklevel=3) + if sql is None: + try: + version = connector.source_backend.get_data_version( + connector, name) + lineage['version'] = None if version is None else str(version) + except Exception as error: + warnings.warn( + f"Could not record the custom table's data version: {error}", + UserWarning, stacklevel=3) + return lineage + + +def _location(connector: Any, name: str, sql: Optional[str]) -> str: + import hashlib + import posixpath + + from kumo_core.sources.object_store_sessions import ObjectStoreSessions + + if sql is not None: + return 'sql:' + hashlib.sha256(sql.encode()).hexdigest() + root = getattr(connector.config, 'root_dir', None) + if root is not None: + return str(Path(root, name)) + backend = connector.source_backend + if isinstance(backend, ObjectStoreSessions): + _, prefix, key, _ = backend._placement(connector, name) + return f'{backend.scheme}://{posixpath.join(prefix, key).rstrip("/")}' + namespace = (getattr(connector, field, None) + for field in ('database', 'catalog', 'project_id', + 'schema_name', 'dataset_id')) + return '.'.join([*filter(None, namespace), name]) diff --git a/packages/kumo-engine/test/test_training_table_export.py b/packages/kumo-engine/test/test_training_table_export.py index 4fc947f67..0ad521558 100644 --- a/packages/kumo-engine/test/test_training_table_export.py +++ b/packages/kumo-engine/test/test_training_table_export.py @@ -4,7 +4,6 @@ import hashlib import json -import shutil from collections import Counter from functools import partial from types import SimpleNamespace @@ -12,7 +11,6 @@ import numpy as np import pandas as pd import pyarrow as pa -import pyarrow.compute as pc import pyarrow.parquet as pq import pytest from kumoapi.graph import Edge @@ -298,12 +296,6 @@ def test_custom_training_table_declares_integer_timestamp_unit(graph, unit, assert _rows(seeds[stage], columns) == _rows(original_seeds[stage], columns) -def _digest(paths): - return hashlib.sha256(''.join( - sorted(hashlib.sha256(p.read_bytes()).hexdigest() - for p in paths)).encode()).hexdigest() - - def _reload(graph, name, pquery): _, snapshot, connector, _ = graph return kumo.TrainingTable.from_source_table( @@ -311,8 +303,8 @@ def _reload(graph, name, pquery): snapshot=snapshot) -def test_manifest_lineage_across_export_and_reload(graph, tmp_path): - from kumo_core.training.export import export_train_table, identity +def test_manifest_and_export_sidecar(graph, tmp_path): + from kumo_core.training.export import export_train_table _, snapshot, connector, out = graph query = 'PREDICT ents.LABEL FOR EACH ents.ID' @@ -320,10 +312,7 @@ def test_manifest_lineage_across_export_and_reload(graph, tmp_path): manifest = table.manifest assert manifest['kind'] == 'training_table' assert manifest['id'] == table.tt_id == _spec(table)['tt_id'] - assert manifest['parents'] == { - 'snapshot': snapshot.id, - 'derived_from': None - } + assert manifest['parents'] == {'snapshot': snapshot.id} assert (manifest['query'], manifest['source']) == (query, 'pql') assert manifest['task_type'] == 'binary_classification' assert manifest['rows'] == _seeds(table)[1] @@ -342,65 +331,82 @@ def test_manifest_lineage_across_export_and_reload(graph, tmp_path): [p.name for p in parts] + ['_KUMO_EXPORT', '_SUCCESS', '_kumo_manifest.json']) sidecar = (directory / '_kumo_manifest.json').read_bytes() - assert json.loads(sidecar) == { - **manifest, 'content_sha256': _digest(parts), - 'export_identity': identity(_spec(table)) - } + assert json.loads(sidecar) == manifest table.export(TrainingTableOutputConfig(connector, 'lineage')) assert (directory / '_kumo_manifest.json').read_bytes() == sidecar - assert [p.read_bytes() for p in parts] == [ - (baseline / p.name).read_bytes() for p in parts - ] - reloaded = _reload(graph, 'lineage', pquery).manifest - assert reloaded['parents'] == { + +def test_custom_table_records_its_source(graph, recwarn): + _, snapshot, connector, out = graph + pquery, table, _ = _export(graph, 'PREDICT ents.LABEL FOR EACH ents.ID', + 'reloaded') + (out / 'reloaded' / '_kumo_manifest.json').write_text('{not json') + reloaded = _reload(graph, 'reloaded', pquery) + manifest = reloaded.manifest + assert manifest['source'] == 'custom' + assert manifest['id'] != table.tt_id + assert manifest['parents'] == { 'snapshot': snapshot.id, - 'derived_from': table.tt_id + 'source_table': { + 'location': str(out / 'reloaded'), + 'version': connector.source_backend.get_data_version( + connector, 'reloaded'), + }, } - assert (reloaded['source'], reloaded['modified']) == ('custom', False) - assert reloaded['id'] != table.tt_id - - edited = out / 'lineage_edited' - shutil.copytree(directory, edited) - rows = pq.read_table(parts[0]) - flipped = pc.invert(rows['TARGET1']) - pq.write_table(rows.set_column(rows.schema.get_field_index('TARGET1'), - 'TARGET1', flipped), - edited / parts[0].name) - edited_manifest = _reload(graph, 'lineage_edited', pquery).manifest - assert edited_manifest['parents']['derived_from'] == table.tt_id - assert edited_manifest['modified'] is True - - -@pytest.mark.parametrize('damage', ['missing', 'garbled', 'foreign']) -def test_reload_without_matching_sidecar_records_no_lineage(graph, damage): + assert manifest['parents']['source_table']['version'] + assert not [w for w in recwarn if 'manifest' in str(w.message)] + assert _seeds(reloaded)[1] == _seeds(table)[1] + + +@pytest.mark.parametrize('failing', ['_location', 'get_data_version']) +def test_unrecordable_source_is_null(graph, monkeypatch, failing): + from kumo.engine.pquery import training_table + _, snapshot, connector, out = graph pquery, table, _ = _export(graph, 'PREDICT ents.LABEL FOR EACH ents.ID', - f'unlinked_base_{damage}') - directory = out / f'unlinked_{damage}' - shutil.copytree(out / f'unlinked_base_{damage}', directory) - sidecar = directory / '_kumo_manifest.json' - if damage == 'missing': - sidecar.unlink() - elif damage == 'garbled': - sidecar.write_text('{not json') - else: - (directory / '_KUMO_EXPORT').write_text('another export') + f'unrecorded_{failing}') - if damage == 'garbled': - with pytest.warns(UserWarning, match='training-table manifest'): - reloaded = _reload(graph, directory.name, pquery) + def fail(*args, **kwargs): + raise OSError('listing denied') + + target = (training_table if failing == '_location' else + type(connector.source_backend)) + monkeypatch.setattr(target, failing, fail) + with pytest.warns(UserWarning, match='listing denied'): + reloaded = _reload(graph, f'unrecorded_{failing}', pquery) + recorded = reloaded.manifest['parents']['source_table'] + if failing == '_location': + assert recorded['location'] is None and recorded['version'] else: - reloaded = _reload(graph, directory.name, pquery) - assert reloaded.manifest['parents'] == { - 'snapshot': snapshot.id, - 'derived_from': None - } - assert reloaded.manifest['modified'] is None + assert recorded == { + 'location': str(out / f'unrecorded_{failing}'), + 'version': None + } assert _seeds(reloaded)[1] == _seeds(table)[1] +@pytest.mark.parametrize('connector, name, location', [ + (kumo.S3Connector(root_dir='s3://bucket/data/'), 'exports/tt/', + 's3://bucket/data/exports/tt'), + (kumo.S3Connector(), 's3://bucket/exports/tt', 's3://bucket/exports/tt'), + (SimpleNamespace(config=None, source_backend=None, database='DB', + schema_name='SCHEMA'), 'TT', 'DB.SCHEMA.TT'), +]) +def test_source_location(connector, name, location): + from kumo.engine.pquery.training_table import _location + + assert _location(connector, name, None) == location + + +def test_sql_location_is_a_digest(): + from kumo.engine.pquery.training_table import _location + + sql = 'SELECT * FROM labels' + assert _location(None, 'synthetic', sql) == ( + 'sql:' + hashlib.sha256(sql.encode()).hexdigest()) + + def test_manifest_write_failure_keeps_generation_and_export( graph, monkeypatch): from kumo.engine.pquery import training_table @@ -438,42 +444,6 @@ def write_files(connector, table_name, files, write_mode, **kwargs): assert calls == [{'export_id': f'{table.tt_id}:tt-export-v1'}] -def test_reencoded_staging_does_not_mark_export_modified(graph, monkeypatch): - from kumo.engine.pquery import _custom_source - - _, snapshot, connector, out = graph - query = ('PREDICT LIST_DISTINCT(events.ITEM_ID, 0, 7, days) ' - 'RANK TOP 3 FOR EACH ents.ID') - pquery, table, _ = _export(graph, query, 'lineage_weighted') - directory = out / 'lineage_weighted' - parts = sorted(directory.glob('*.parquet')) - for part in parts: - rows = pq.read_table(part) - weights = pa.array([[1.0] * len(values) - for values in rows['TARGET1'].to_pylist()], - pa.list_(pa.float64())) - pq.write_table(rows.append_column('WEIGHT', weights), part) - sidecar = directory / '_kumo_manifest.json' - sidecar.write_text(json.dumps({ - **json.loads(sidecar.read_text()), 'content_sha256': _digest(parts) - })) - staged = [] - stage_source_table = _custom_source.stage_source_table - - def capture(*args, **kwargs): - staged.append(stage_source_table(*args, **kwargs)) - return staged[-1] - - monkeypatch.setattr(_custom_source, 'stage_source_table', capture) - manifest = kumo.TrainingTable.from_source_table( - connector['lineage_weighted'], - TrainingTableSpec(weight_col='WEIGHT', split_col='SPLIT'), - pq=pquery, snapshot=snapshot).manifest - assert _digest(sorted(staged[0].glob('*.parquet'))) != _digest(parts) - assert manifest['parents']['derived_from'] == table.tt_id - assert manifest['modified'] is False - - def test_csv_directory_export_gets_no_sidecar(graph): graph_, snapshot, connector, out = graph table = kumo.PredictiveQuery( From cf7fea2a2af7c3e951f871dd1949300a4d616659 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 07:46:37 +0000 Subject: [PATCH 023/123] Record a custom table's source in the snapshot manifest's shape parents.source_table now uses the shared source_table helper from the snapshot manifest: {"connector", "location", "version"}, with the same location rules, so a custom table and a snapshot source can be matched on connector and location. The version is still the connector's get_data_version stamp, null with a warning when it cannot be read. Verified with test_training_table_export.py. Co-Authored-By: Claude Opus 5.5 --- .../kumo/engine/pquery/training_table.py | 34 +++---------------- .../test/test_training_table_export.py | 32 ++++------------- 2 files changed, 10 insertions(+), 56 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/pquery/training_table.py b/packages/kumo-engine/kumo/engine/pquery/training_table.py index 924ef06ca..a63f19a7d 100644 --- a/packages/kumo-engine/kumo/engine/pquery/training_table.py +++ b/packages/kumo-engine/kumo/engine/pquery/training_table.py @@ -281,43 +281,17 @@ def _record_manifest(table: TrainingTable, snapshot: GraphSnapshot, def _source_lineage(source_table: SourceTable) -> Dict[str, Optional[str]]: + from kumo.engine._provenance import source_table as lineage + connector, name, sql = (source_table.connector, source_table.table_name, source_table.sql) - lineage: Dict[str, Optional[str]] = {'location': None, 'version': None} - try: - lineage['location'] = _location(connector, name, sql) - except Exception as error: - warnings.warn( - f"Could not record where the custom table was loaded from: " - f"{error}", UserWarning, stacklevel=3) + version = None if sql is None: try: version = connector.source_backend.get_data_version( connector, name) - lineage['version'] = None if version is None else str(version) except Exception as error: warnings.warn( f"Could not record the custom table's data version: {error}", UserWarning, stacklevel=3) - return lineage - - -def _location(connector: Any, name: str, sql: Optional[str]) -> str: - import hashlib - import posixpath - - from kumo_core.sources.object_store_sessions import ObjectStoreSessions - - if sql is not None: - return 'sql:' + hashlib.sha256(sql.encode()).hexdigest() - root = getattr(connector.config, 'root_dir', None) - if root is not None: - return str(Path(root, name)) - backend = connector.source_backend - if isinstance(backend, ObjectStoreSessions): - _, prefix, key, _ = backend._placement(connector, name) - return f'{backend.scheme}://{posixpath.join(prefix, key).rstrip("/")}' - namespace = (getattr(connector, field, None) - for field in ('database', 'catalog', 'project_id', - 'schema_name', 'dataset_id')) - return '.'.join([*filter(None, namespace), name]) + return lineage(connector, name, sql, version) diff --git a/packages/kumo-engine/test/test_training_table_export.py b/packages/kumo-engine/test/test_training_table_export.py index 0ad521558..8a9285fbc 100644 --- a/packages/kumo-engine/test/test_training_table_export.py +++ b/packages/kumo-engine/test/test_training_table_export.py @@ -2,7 +2,6 @@ # All rights reserved. # SPDX-License-Identifier: Apache-2.0 -import hashlib import json from collections import Counter from functools import partial @@ -349,6 +348,7 @@ def test_custom_table_records_its_source(graph, recwarn): assert manifest['parents'] == { 'snapshot': snapshot.id, 'source_table': { + 'connector': 'LOCAL_FILE', 'location': str(out / 'reloaded'), 'version': connector.source_backend.get_data_version( connector, 'reloaded'), @@ -359,9 +359,9 @@ def test_custom_table_records_its_source(graph, recwarn): assert _seeds(reloaded)[1] == _seeds(table)[1] -@pytest.mark.parametrize('failing', ['_location', 'get_data_version']) +@pytest.mark.parametrize('failing', ['source_location', 'get_data_version']) def test_unrecordable_source_is_null(graph, monkeypatch, failing): - from kumo.engine.pquery import training_table + from kumo.engine import _provenance _, snapshot, connector, out = graph pquery, table, _ = _export(graph, 'PREDICT ents.LABEL FOR EACH ents.ID', @@ -370,43 +370,23 @@ def test_unrecordable_source_is_null(graph, monkeypatch, failing): def fail(*args, **kwargs): raise OSError('listing denied') - target = (training_table if failing == '_location' else + target = (_provenance if failing == 'source_location' else type(connector.source_backend)) monkeypatch.setattr(target, failing, fail) with pytest.warns(UserWarning, match='listing denied'): reloaded = _reload(graph, f'unrecorded_{failing}', pquery) recorded = reloaded.manifest['parents']['source_table'] - if failing == '_location': + if failing == 'source_location': assert recorded['location'] is None and recorded['version'] else: assert recorded == { + 'connector': 'LOCAL_FILE', 'location': str(out / f'unrecorded_{failing}'), 'version': None } assert _seeds(reloaded)[1] == _seeds(table)[1] -@pytest.mark.parametrize('connector, name, location', [ - (kumo.S3Connector(root_dir='s3://bucket/data/'), 'exports/tt/', - 's3://bucket/data/exports/tt'), - (kumo.S3Connector(), 's3://bucket/exports/tt', 's3://bucket/exports/tt'), - (SimpleNamespace(config=None, source_backend=None, database='DB', - schema_name='SCHEMA'), 'TT', 'DB.SCHEMA.TT'), -]) -def test_source_location(connector, name, location): - from kumo.engine.pquery.training_table import _location - - assert _location(connector, name, None) == location - - -def test_sql_location_is_a_digest(): - from kumo.engine.pquery.training_table import _location - - sql = 'SELECT * FROM labels' - assert _location(None, 'synthetic', sql) == ( - 'sql:' + hashlib.sha256(sql.encode()).hexdigest()) - - def test_manifest_write_failure_keeps_generation_and_export( graph, monkeypatch): from kumo.engine.pquery import training_table From 209e6eee2f6725ef9a090702da4c75c2ee0605e3 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 08:12:42 +0000 Subject: [PATCH 024/123] Keep sidecar writes best-effort; version custom tables from their read A failing _kumo_manifest.json write (a bucket policy, a transient error) raised out of export_selected_files before _SUCCESS, so an export that works today failed. Each sidecar write now warns and continues, and a failure building the training-table manifest exports without it. A custom table's version came from a second get_data_version call after staging, which could describe a later state of the source and was null for Custom SQL. stage_source_table now returns the version prepare_ingest reports for the rows it staged, the same stamp the snapshot manifest records. Verified with test_training_table_export.py, connector/test_custom_source.py, test_custom_sql.py and kumo-core test_artifact_export.py. Co-Authored-By: Claude Opus 5.5 --- .../src/kumo_core/artifact_export.py | 7 ++++- .../kumo-core/tests/test_artifact_export.py | 24 +++++++++++++++ .../kumo/engine/pquery/_custom_source.py | 9 ++++-- .../kumo/engine/pquery/prediction_table.py | 3 +- .../kumo/engine/pquery/training_table.py | 30 +++++++++---------- .../test/connector/test_custom_source.py | 17 ++++++----- packages/kumo-engine/test/test_custom_sql.py | 2 +- .../kumo-engine/test/test_predictive_query.py | 6 ++-- .../test/test_training_table_export.py | 25 +++++----------- 9 files changed, 72 insertions(+), 51 deletions(-) diff --git a/packages/kumo-core/src/kumo_core/artifact_export.py b/packages/kumo-core/src/kumo_core/artifact_export.py index 8abd316d6..25df7dc7f 100644 --- a/packages/kumo-core/src/kumo_core/artifact_export.py +++ b/packages/kumo-core/src/kumo_core/artifact_export.py @@ -236,7 +236,12 @@ def export_selected_files(files, output_path, *, fs, identity, if output_is_dir: for name, payload in sidecars.items(): - fs.write_bytes(osp.join(output_path, name), payload) + try: + fs.write_bytes(osp.join(output_path, name), payload) + except Exception as error: + import warnings + warnings.warn(f'Exporting without {name}: {error}', + UserWarning, stacklevel=2) return publish_export_destination(output_path, fs=fs) diff --git a/packages/kumo-core/tests/test_artifact_export.py b/packages/kumo-core/tests/test_artifact_export.py index 726d6847c..e22acd5d8 100644 --- a/packages/kumo-core/tests/test_artifact_export.py +++ b/packages/kumo-core/tests/test_artifact_export.py @@ -251,3 +251,27 @@ def touch(path): else: assert not (target / 'meta.json').exists() assert pq.read_table(tmp_path / 'output.parquet').num_rows == 1 + + +def test_failed_sidecar_write_still_publishes(tmp_path): + import pyarrow.parquet as pq + from kumo_core.artifact_export import export_selected_files + from kumo_core.object_store_sink import _ArrowExportFiles + from pyarrow.fs import LocalFileSystem + + source = tmp_path / 'part-0.parquet' + pq.write_table(pa.table({'id': [1]}), source) + fs = _ArrowExportFiles(LocalFileSystem(), None) + write_bytes = fs.write_bytes + + def denied(path, value): + if path.endswith('meta.json'): + raise PermissionError('denied') + write_bytes(path, value) + + fs.write_bytes = denied + target = tmp_path / 'output' + with pytest.warns(UserWarning, match='denied'): + export_selected_files([str(source)], f'{target}/', fs=fs, + identity='job-1', sidecars={'meta.json': b'{}'}) + assert (target / '_SUCCESS').exists() diff --git a/packages/kumo-engine/kumo/engine/pquery/_custom_source.py b/packages/kumo-engine/kumo/engine/pquery/_custom_source.py index a98c74975..7650d7904 100644 --- a/packages/kumo-engine/kumo/engine/pquery/_custom_source.py +++ b/packages/kumo-engine/kumo/engine/pquery/_custom_source.py @@ -8,6 +8,7 @@ import os import shutil from pathlib import Path +from typing import Optional, Tuple import pyarrow.dataset as ds import pyarrow.parquet as pq @@ -15,8 +16,10 @@ from kumo.engine.connector.source_table import SourceTable -def stage_source_table(source_table: SourceTable, destination: Path) -> Path: - """Read ``source_table`` through its connector and retain its parquet parts.""" +def stage_source_table(source_table: SourceTable, + destination: Path) -> Tuple[Path, Optional[str]]: + """Read ``source_table`` through its connector and retain its parquet + parts; also returns the connector's version of the rows read.""" if not isinstance(source_table, SourceTable): raise TypeError("source_table must be a kumo.engine SourceTable") destination.mkdir(parents=True, exist_ok=False) @@ -62,7 +65,7 @@ def stage_source_table(source_table: SourceTable, destination: Path) -> Path: errno.EPERM, errno.EACCES, errno.EOPNOTSUPP, errno.ENOSYS): raise shutil.copyfile(part, target) - return output + return output, prepared.version def _validate_source(path, query, graph, *, weight_col, split_col, diff --git a/packages/kumo-engine/kumo/engine/pquery/prediction_table.py b/packages/kumo-engine/kumo/engine/pquery/prediction_table.py index d0f96bc01..f64912109 100644 --- a/packages/kumo-engine/kumo/engine/pquery/prediction_table.py +++ b/packages/kumo-engine/kumo/engine/pquery/prediction_table.py @@ -104,7 +104,8 @@ def from_source_table( pq._require_matching_snapshot(snapshot) run_id = new_run_id() run_dir = prediction_table_scratch_dir(run_id) - rows_path = stage_source_table(source_table, run_dir / "source-table") + rows_path, _ = stage_source_table(source_table, + run_dir / "source-table") request, _ = _build_prediction_table_request( snapshot, pq._parsed, diff --git a/packages/kumo-engine/kumo/engine/pquery/training_table.py b/packages/kumo-engine/kumo/engine/pquery/training_table.py index a63f19a7d..8958e537e 100644 --- a/packages/kumo-engine/kumo/engine/pquery/training_table.py +++ b/packages/kumo-engine/kumo/engine/pquery/training_table.py @@ -84,7 +84,13 @@ def export(self, output_config: "TrainingTableOutputConfig") -> str: root.mkdir(parents=True, exist_ok=True) with tempfile.TemporaryDirectory(dir=root) as output: files = export_train_table(str(self.staging_dir), output) - payload = self._export_manifest(connector, output_config, files) + try: + payload = self._export_manifest(connector, output_config, + files) + except Exception as error: + warnings.warn(f"Exporting without a training-table manifest: " + f"{error}", UserWarning, stacklevel=2) + payload = None extra = ({} if payload is None else { 'sidecars': { EXPORT_MANIFEST_FILE: payload @@ -174,8 +180,9 @@ def from_source_table( ) run_id = new_run_id() run_dir = train_table_scratch_dir(run_id) - rows_path = stage_source_table(source_table, run_dir / "source-table") - lineage = _source_lineage(source_table) + rows_path, version = stage_source_table(source_table, + run_dir / "source-table") + lineage = _source_lineage(source_table, version) generation_plan = from_json_dict( to_json_dict(public_plan), TrainingTableGenerationPlan, @@ -280,18 +287,9 @@ def _record_manifest(table: TrainingTable, snapshot: GraphSnapshot, f"{error}", UserWarning, stacklevel=3) -def _source_lineage(source_table: SourceTable) -> Dict[str, Optional[str]]: +def _source_lineage(source_table: SourceTable, + version: Optional[str]) -> Dict[str, Optional[str]]: from kumo.engine._provenance import source_table as lineage - connector, name, sql = (source_table.connector, source_table.table_name, - source_table.sql) - version = None - if sql is None: - try: - version = connector.source_backend.get_data_version( - connector, name) - except Exception as error: - warnings.warn( - f"Could not record the custom table's data version: {error}", - UserWarning, stacklevel=3) - return lineage(connector, name, sql, version) + return lineage(source_table.connector, source_table.table_name, + source_table.sql, version) diff --git a/packages/kumo-engine/test/connector/test_custom_source.py b/packages/kumo-engine/test/connector/test_custom_source.py index aaa2de4e1..87080104a 100644 --- a/packages/kumo-engine/test/connector/test_custom_source.py +++ b/packages/kumo-engine/test/connector/test_custom_source.py @@ -40,11 +40,12 @@ def prepare_ingest(connector, table_name, destination, sql): "paths": [str(first), str(second)], }, credentials=None, + version=None, ) connector = SimpleNamespace(source_backend=Backend()) source = SourceTable("curated", connector) - output = stage_source_table(source, tmp_path / "staged") + output, _ = stage_source_table(source, tmp_path / "staged") assert output == tmp_path / "staged" / "parts" assert pq.read_table(output)["ENTITY1"].to_pylist() == [1, 2] @@ -62,7 +63,7 @@ def test_stage_source_table_accepts_partitioned_file_connector_directory( pq.write_table(pa.table({"ENTITY1": [2]}), parts / "two.parquet") connector = FileConnector(root_dir=str(root)) - output = stage_source_table(connector["parts"], tmp_path / "staged") + output, _ = stage_source_table(connector["parts"], tmp_path / "staged") assert output == tmp_path / "staged" / "parts" assert sorted(pq.read_table(output)["ENTITY1"].to_pylist()) == [1, 2] @@ -96,10 +97,10 @@ def refuse_link(*args, **kwargs): source={ "type": "parquet", "paths": [str(p) for p in paths] - }, credentials=None) + }, credentials=None, version=None) source = SourceTable("curated", Mock(source_backend=backend)) - output = stage_source_table(source, tmp_path / "staged") + output, _ = stage_source_table(source, tmp_path / "staged") retained = sorted(output.glob("*.parquet")) assert len(retained) == 2 @@ -124,7 +125,7 @@ def test_stage_source_table_casts_to_what_the_table_reader_reads(tmp_path): "TARGET1": pa.array(["a", "b"]).dictionary_encode(), }), root / "curated.parquet") - output = stage_source_table( + output, _ = stage_source_table( FileConnector(root_dir=str(root))["curated"], tmp_path / "staged") assert pq.read_table(output).schema == pa.schema([("ENTITY1", pa.int64()), @@ -137,7 +138,7 @@ def test_stage_source_table_retains_single_file_in_parts_directory(tmp_path): pq.write_table(pa.table({"ENTITY1": [1, 2]}), root / "table.parquet") connector = FileConnector(root_dir=str(root)) - output = stage_source_table(connector["table.parquet"], tmp_path / "staged") + output, _ = stage_source_table(connector["table.parquet"], tmp_path / "staged") assert output == tmp_path / "staged" / "parts" parts = list(output.glob("*.parquet")) @@ -171,8 +172,8 @@ def test_stage_source_table_retains_reencoded_float64_weight_parts( pq.write_table(table, root / "weighted.parquet") connector = FileConnector(root_dir=str(root)) - output = stage_source_table(connector["weighted.parquet"], - tmp_path / "staged") + output, _ = stage_source_table(connector["weighted.parquet"], + tmp_path / "staged") assert output == tmp_path / "staged" / "parts" assert len(list((tmp_path / "staged" / "source").rglob("*.parquet"))) > 1 diff --git a/packages/kumo-engine/test/test_custom_sql.py b/packages/kumo-engine/test/test_custom_sql.py index b2f80c231..498b045ce 100644 --- a/packages/kumo-engine/test/test_custom_sql.py +++ b/packages/kumo-engine/test/test_custom_sql.py @@ -131,7 +131,7 @@ def spy(graph_config, spec): def test_custom_training_rows_stage_the_query_result(warehouse, tmp_path): - staged = stage_source_table(warehouse.sql(SQL), tmp_path / 'staged') + staged, _ = stage_source_table(warehouse.sql(SQL), tmp_path / 'staged') assert pq.read_table(staged).to_pydict() == { 'user_id': [1, 3], 'age': [30, 50] diff --git a/packages/kumo-engine/test/test_predictive_query.py b/packages/kumo-engine/test/test_predictive_query.py index 7f3794266..2f77622a3 100644 --- a/packages/kumo-engine/test/test_predictive_query.py +++ b/packages/kumo-engine/test/test_predictive_query.py @@ -465,7 +465,7 @@ def test_custom_training_table_materializes_weight_and_manual_split( ) monkeypatch.setattr('kumo.engine.pquery._custom_source.stage_source_table', - lambda source_table, destination: rows) + lambda source_table, destination: (rows, None)) monkeypatch.setattr( 'kumo.engine.pquery._custom_source.validate_training_source', lambda *args: None) @@ -512,7 +512,7 @@ def test_custom_training_table_uses_the_normal_inferred_split( staging = tmp_path / 'staging' captured = {} monkeypatch.setattr('kumo.engine.pquery._custom_source.stage_source_table', - lambda source_table, destination: rows) + lambda source_table, destination: (rows, None)) monkeypatch.setattr( 'kumo.engine.pquery._custom_source.validate_training_source', lambda *args: None) @@ -637,7 +637,7 @@ def test_custom_prediction_table_materializes_exact_source_rows( ) captured = {} monkeypatch.setattr('kumo.engine.pquery._custom_source.stage_source_table', - lambda source_table, destination: rows) + lambda source_table, destination: (rows, None)) monkeypatch.setattr( 'kumo.engine.pquery._custom_source.validate_prediction_source', lambda *args: None, diff --git a/packages/kumo-engine/test/test_training_table_export.py b/packages/kumo-engine/test/test_training_table_export.py index 8a9285fbc..6337fc179 100644 --- a/packages/kumo-engine/test/test_training_table_export.py +++ b/packages/kumo-engine/test/test_training_table_export.py @@ -226,9 +226,9 @@ def test_custom_link_table_ingests_multiple_weighted_parts( stage_source_table = _custom_source.stage_source_table def stage_multipart_source(*args, **kwargs): - path = stage_source_table(*args, **kwargs) + path, version = stage_source_table(*args, **kwargs) assert len(list(path.glob('*.parquet'))) > 1 - return path + return path, version monkeypatch.setattr(_custom_source, 'stage_source_table', stage_multipart_source) @@ -359,31 +359,20 @@ def test_custom_table_records_its_source(graph, recwarn): assert _seeds(reloaded)[1] == _seeds(table)[1] -@pytest.mark.parametrize('failing', ['source_location', 'get_data_version']) -def test_unrecordable_source_is_null(graph, monkeypatch, failing): +def test_unrecordable_location_is_null(graph, monkeypatch): from kumo.engine import _provenance - _, snapshot, connector, out = graph pquery, table, _ = _export(graph, 'PREDICT ents.LABEL FOR EACH ents.ID', - f'unrecorded_{failing}') + 'unrecorded') def fail(*args, **kwargs): raise OSError('listing denied') - target = (_provenance if failing == 'source_location' else - type(connector.source_backend)) - monkeypatch.setattr(target, failing, fail) + monkeypatch.setattr(_provenance, 'source_location', fail) with pytest.warns(UserWarning, match='listing denied'): - reloaded = _reload(graph, f'unrecorded_{failing}', pquery) + reloaded = _reload(graph, 'unrecorded', pquery) recorded = reloaded.manifest['parents']['source_table'] - if failing == 'source_location': - assert recorded['location'] is None and recorded['version'] - else: - assert recorded == { - 'connector': 'LOCAL_FILE', - 'location': str(out / f'unrecorded_{failing}'), - 'version': None - } + assert recorded['location'] is None and recorded['version'] assert _seeds(reloaded)[1] == _seeds(table)[1] From 80807de227e15ab2b4951b3087c515d82bd55214 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 09:33:25 +0000 Subject: [PATCH 025/123] Trim training-table lineage to essentials The export sidecar path re-serialised the staged manifest behind a redundant directory check and a catch-all, and the tests restated fields and covered helpers owned by the snapshot-manifest PR. Copy the staged manifest bytes as the sidecar, inline the single-use source-lineage helper, shorten docstrings, and merge the lineage tests into one export/reload test plus best-effort and no-sidecar cases. Behaviour is unchanged. Verified: test_training_table_export, test_custom_source, test_custom_sql, test_predictive_query -k custom and kumo-core test_artifact_export pass. Co-Authored-By: Claude Opus 5.5 --- .../src/kumo_core/artifact_export.py | 4 +- .../src/kumo_core/object_store_sink.py | 6 +- .../kumo-core/tests/test_artifact_export.py | 47 +++------ .../kumo/engine/pquery/_custom_source.py | 3 +- .../kumo/engine/pquery/training_table.py | 59 ++++-------- .../test/test_training_table_export.py | 96 ++++--------------- 6 files changed, 53 insertions(+), 162 deletions(-) diff --git a/packages/kumo-core/src/kumo_core/artifact_export.py b/packages/kumo-core/src/kumo_core/artifact_export.py index 25df7dc7f..311b972bc 100644 --- a/packages/kumo-core/src/kumo_core/artifact_export.py +++ b/packages/kumo-core/src/kumo_core/artifact_export.py @@ -205,8 +205,8 @@ def export_selected_files(files, output_path, *, fs, identity, Filesystem/authentication and retry wrappers stay with the caller. The directory ownership, output names and CSV retry decisions are shared. - ``sidecars`` (name to bytes) are written into a directory destination - after the data and before ``_SUCCESS``; ``fs`` then needs ``write_bytes``. + ``sidecars`` (name to bytes) land in a directory destination before + ``_SUCCESS``. """ import os.path as osp import tempfile diff --git a/packages/kumo-core/src/kumo_core/object_store_sink.py b/packages/kumo-core/src/kumo_core/object_store_sink.py index 99848ebd3..193b669dc 100644 --- a/packages/kumo-core/src/kumo_core/object_store_sink.py +++ b/packages/kumo-core/src/kumo_core/object_store_sink.py @@ -57,11 +57,7 @@ def write_files(self, connector, table_name, files, write_mode=WriteMode.OVERWRITE, project_id=None, *, export_id=None, extra_columns=None, sidecars: Mapping[str, bytes] = {}): - """Export selected Parquet without collecting their rows. - - ``sidecars`` are written into a directory destination before - ``_SUCCESS``. - """ + """Export selected Parquet without collecting their rows.""" del project_id if write_mode is not WriteMode.OVERWRITE: raise NotImplementedError( diff --git a/packages/kumo-core/tests/test_artifact_export.py b/packages/kumo-core/tests/test_artifact_export.py index e22acd5d8..b3701f00f 100644 --- a/packages/kumo-core/tests/test_artifact_export.py +++ b/packages/kumo-core/tests/test_artifact_export.py @@ -224,36 +224,8 @@ def interrupted(source, destination, **kwargs): assert (target / '_SUCCESS').exists() -@pytest.mark.parametrize('directory', [True, False]) -def test_sidecars_are_written_before_success(tmp_path, monkeypatch, - directory): - import pyarrow.parquet as pq - from kumo_core.artifact_export import export_selected_files - from kumo_core.object_store_sink import _ArrowExportFiles - from pyarrow.fs import LocalFileSystem - - source = tmp_path / 'part-0.parquet' - pq.write_table(pa.table({'id': [1]}), source) - target = tmp_path / 'output' - fs = _ArrowExportFiles(LocalFileSystem(), None) - touched = fs.touch - def touch(path): - assert (target / 'meta.json').read_bytes() == b'{}' - touched(path) - - monkeypatch.setattr(fs, 'touch', touch) - export_selected_files([str(source)], - str(target) + ('/' if directory else ''), fs=fs, - identity='job-1', sidecars={'meta.json': b'{}'}) - if directory: - assert (target / '_SUCCESS').exists() - else: - assert not (target / 'meta.json').exists() - assert pq.read_table(tmp_path / 'output.parquet').num_rows == 1 - - -def test_failed_sidecar_write_still_publishes(tmp_path): +def test_sidecars_are_best_effort_and_precede_success(tmp_path): import pyarrow.parquet as pq from kumo_core.artifact_export import export_selected_files from kumo_core.object_store_sink import _ArrowExportFiles @@ -261,17 +233,24 @@ def test_failed_sidecar_write_still_publishes(tmp_path): source = tmp_path / 'part-0.parquet' pq.write_table(pa.table({'id': [1]}), source) + target = tmp_path / 'output' fs = _ArrowExportFiles(LocalFileSystem(), None) - write_bytes = fs.write_bytes + write_bytes, touch = fs.write_bytes, fs.touch def denied(path, value): - if path.endswith('meta.json'): + if path.endswith('bad.json'): raise PermissionError('denied') write_bytes(path, value) - fs.write_bytes = denied - target = tmp_path / 'output' + def checked_touch(path): + assert (target / 'meta.json').read_bytes() == b'{}' + touch(path) + + fs.write_bytes, fs.touch = denied, checked_touch with pytest.warns(UserWarning, match='denied'): export_selected_files([str(source)], f'{target}/', fs=fs, - identity='job-1', sidecars={'meta.json': b'{}'}) + identity='job-1', sidecars={ + 'meta.json': b'{}', + 'bad.json': b'{}' + }) assert (target / '_SUCCESS').exists() diff --git a/packages/kumo-engine/kumo/engine/pquery/_custom_source.py b/packages/kumo-engine/kumo/engine/pquery/_custom_source.py index 7650d7904..74ea2e9d9 100644 --- a/packages/kumo-engine/kumo/engine/pquery/_custom_source.py +++ b/packages/kumo-engine/kumo/engine/pquery/_custom_source.py @@ -18,8 +18,7 @@ def stage_source_table(source_table: SourceTable, destination: Path) -> Tuple[Path, Optional[str]]: - """Read ``source_table`` through its connector and retain its parquet - parts; also returns the connector's version of the rows read.""" + """Stage ``source_table``'s parquet parts; returns them and their version.""" if not isinstance(source_table, SourceTable): raise TypeError("source_table must be a kumo.engine SourceTable") destination.mkdir(parents=True, exist_ok=False) diff --git a/packages/kumo-engine/kumo/engine/pquery/training_table.py b/packages/kumo-engine/kumo/engine/pquery/training_table.py index 8958e537e..165eab0c1 100644 --- a/packages/kumo-engine/kumo/engine/pquery/training_table.py +++ b/packages/kumo-engine/kumo/engine/pquery/training_table.py @@ -2,18 +2,17 @@ # All rights reserved. # SPDX-License-Identifier: Apache-2.0 -import json -import logging import warnings from dataclasses import dataclass, replace from pathlib import Path -from typing import TYPE_CHECKING, Any, Dict, Optional, Sequence +from typing import TYPE_CHECKING, Any, Dict, Optional from kumo_core.model_plan import TrainingTableGenerationPlan from kumoapi.model_plan import \ TrainingTableGenerationPlan as PublicGenerationPlan from kumoapi.train import TrainingTableSpec +from kumo.engine import _provenance as provenance from kumo.engine._manifest import new_manifest, read_manifest, write_manifest from kumo.engine.connector.source_table import SourceTable from kumo.engine.graph import GraphSnapshot @@ -21,8 +20,6 @@ if TYPE_CHECKING: from kumo.engine.trainer.output_config import TrainingTableOutputConfig -logger = logging.getLogger(__name__) - STAGING_MANIFEST_FILE = 'training-table-manifest.json' EXPORT_MANIFEST_FILE = '_kumo_manifest.json' _RANDOM_SPLITS = ('RandomSplit', 'RandomLinkSplit') @@ -84,40 +81,22 @@ def export(self, output_config: "TrainingTableOutputConfig") -> str: root.mkdir(parents=True, exist_ok=True) with tempfile.TemporaryDirectory(dir=root) as output: files = export_train_table(str(self.staging_dir), output) - try: - payload = self._export_manifest(connector, output_config, - files) - except Exception as error: - warnings.warn(f"Exporting without a training-table manifest: " - f"{error}", UserWarning, stacklevel=2) - payload = None - extra = ({} if payload is None else { - 'sidecars': { - EXPORT_MANIFEST_FILE: payload - } - }) return write_files(connector, output_config.table_name, files, output_config.write_mode, export_id=export_id, - **extra) + **self._export_sidecars(connector, + output_config)) - def _export_manifest(self, connector, output_config, - files: Sequence[str]) -> Optional[bytes]: + def _export_sidecars(self, connector, output_config) -> Dict[str, Any]: from kumo_core.object_store_sink import ObjectStoreSinkBackend from kumo_core.sources import layout - name = output_config.table_name + manifest = self.staging_dir / STAGING_MANIFEST_FILE + name = output_config.table_name.rstrip('/') if (not isinstance(connector.sink_backend, ObjectStoreSinkBackend) - or not (name.endswith('/') or len(files) > 1) - or layout.file_type(name.rstrip('/')) not in ( - None, layout.PARQUET)): - logger.debug('Training-table manifests are only exported to ' - 'Parquet directories on files or object stores.') - return None - manifest = self.manifest - if manifest is None: - return None - return (json.dumps(manifest, indent=2, sort_keys=True) + - '\n').encode('utf-8') + or layout.file_type(name) == layout.CSV + or not manifest.is_file()): + return {} + return {'sidecars': {EXPORT_MANIFEST_FILE: manifest.read_bytes()}} @classmethod def from_source_table( @@ -182,7 +161,6 @@ def from_source_table( run_dir = train_table_scratch_dir(run_id) rows_path, version = stage_source_table(source_table, run_dir / "source-table") - lineage = _source_lineage(source_table, version) generation_plan = from_json_dict( to_json_dict(public_plan), TrainingTableGenerationPlan, @@ -247,8 +225,11 @@ def from_source_table( required_stages=task_plan.task_dataset.required_stages, generation_plan=generation_plan, ) - _record_manifest(table, snapshot, task_plan.train_table, 'custom', - source_table=lineage) + _record_manifest( + table, snapshot, task_plan.train_table, 'custom', + source_table=provenance.source_table(source_table.connector, + source_table.table_name, + source_table.sql, version)) return table @@ -285,11 +266,3 @@ def _record_manifest(table: TrainingTable, snapshot: GraphSnapshot, warnings.warn( f"Could not write the training-table manifest at {path}: " f"{error}", UserWarning, stacklevel=3) - - -def _source_lineage(source_table: SourceTable, - version: Optional[str]) -> Dict[str, Optional[str]]: - from kumo.engine._provenance import source_table as lineage - - return lineage(source_table.connector, source_table.table_name, - source_table.sql, version) diff --git a/packages/kumo-engine/test/test_training_table_export.py b/packages/kumo-engine/test/test_training_table_export.py index 6337fc179..119e1be1b 100644 --- a/packages/kumo-engine/test/test_training_table_export.py +++ b/packages/kumo-engine/test/test_training_table_export.py @@ -295,13 +295,6 @@ def test_custom_training_table_declares_integer_timestamp_unit(graph, unit, assert _rows(seeds[stage], columns) == _rows(original_seeds[stage], columns) -def _reload(graph, name, pquery): - _, snapshot, connector, _ = graph - return kumo.TrainingTable.from_source_table( - connector[name], TrainingTableSpec(split_col='SPLIT'), pq=pquery, - snapshot=snapshot) - - def test_manifest_and_export_sidecar(graph, tmp_path): from kumo_core.training.export import export_train_table @@ -309,70 +302,31 @@ def test_manifest_and_export_sidecar(graph, tmp_path): query = 'PREDICT ents.LABEL FOR EACH ents.ID' pquery, table, _ = _export(graph, query, 'lineage') manifest = table.manifest - assert manifest['kind'] == 'training_table' assert manifest['id'] == table.tt_id == _spec(table)['tt_id'] assert manifest['parents'] == {'snapshot': snapshot.id} assert (manifest['query'], manifest['source']) == (query, 'pql') - assert manifest['task_type'] == 'binary_classification' assert manifest['rows'] == _seeds(table)[1] assert manifest['split_seed'] == 0 - assert manifest['generation_plan']['split'] == 'inferred' directory = out / 'lineage' - parts = sorted(directory.glob('*.parquet')) baseline = tmp_path / 'baseline' - expected = export_train_table(str(table.staging_dir), str(baseline)) - assert [p.name for p in parts] == [p.split('/')[-1] for p in expected] - assert [p.read_bytes() for p in parts] == [ - (baseline / p.name).read_bytes() for p in parts - ] - assert sorted(p.name for p in directory.iterdir()) == sorted( - [p.name for p in parts] + - ['_KUMO_EXPORT', '_SUCCESS', '_kumo_manifest.json']) - sidecar = (directory / '_kumo_manifest.json').read_bytes() - assert json.loads(sidecar) == manifest - - table.export(TrainingTableOutputConfig(connector, 'lineage')) - assert (directory / '_kumo_manifest.json').read_bytes() == sidecar - - -def test_custom_table_records_its_source(graph, recwarn): - _, snapshot, connector, out = graph - pquery, table, _ = _export(graph, 'PREDICT ents.LABEL FOR EACH ents.ID', - 'reloaded') - (out / 'reloaded' / '_kumo_manifest.json').write_text('{not json') - reloaded = _reload(graph, 'reloaded', pquery) + export_train_table(str(table.staging_dir), str(baseline)) + for part in baseline.glob('*.parquet'): + assert (directory / part.name).read_bytes() == part.read_bytes() + assert json.loads( + (directory / '_kumo_manifest.json').read_bytes()) == manifest + + reloaded = kumo.TrainingTable.from_source_table( + connector['lineage'], TrainingTableSpec(split_col='SPLIT'), pq=pquery, + snapshot=snapshot) manifest = reloaded.manifest assert manifest['source'] == 'custom' - assert manifest['id'] != table.tt_id - assert manifest['parents'] == { - 'snapshot': snapshot.id, - 'source_table': { - 'connector': 'LOCAL_FILE', - 'location': str(out / 'reloaded'), - 'version': connector.source_backend.get_data_version( - connector, 'reloaded'), - }, + assert manifest['parents']['source_table'] == { + 'connector': 'LOCAL_FILE', + 'location': str(directory), + 'version': connector.source_backend.get_data_version( + connector, 'lineage'), } - assert manifest['parents']['source_table']['version'] - assert not [w for w in recwarn if 'manifest' in str(w.message)] - assert _seeds(reloaded)[1] == _seeds(table)[1] - - -def test_unrecordable_location_is_null(graph, monkeypatch): - from kumo.engine import _provenance - - pquery, table, _ = _export(graph, 'PREDICT ents.LABEL FOR EACH ents.ID', - 'unrecorded') - - def fail(*args, **kwargs): - raise OSError('listing denied') - - monkeypatch.setattr(_provenance, 'source_location', fail) - with pytest.warns(UserWarning, match='listing denied'): - reloaded = _reload(graph, 'unrecorded', pquery) - recorded = reloaded.manifest['parents']['source_table'] - assert recorded['location'] is None and recorded['version'] assert _seeds(reloaded)[1] == _seeds(table)[1] @@ -387,16 +341,15 @@ def fail(*args, **kwargs): monkeypatch.setattr(training_table, 'write_manifest', fail) with pytest.warns(UserWarning, match='read-only scratch'): - pquery, table, exported = _export( + _, table, exported = _export( graph, 'PREDICT ents.LABEL FOR EACH ents.ID', 'no_manifest') assert table.manifest is None assert not (out / 'no_manifest' / '_kumo_manifest.json').exists() - assert (out / 'no_manifest' / '_SUCCESS').exists() assert exported.num_rows == sum(_seeds(table)[1].values()) -def test_warehouse_sink_receives_no_sidecars(graph): - graph_, snapshot, _, _ = graph +def test_no_sidecar_for_warehouse_or_csv_exports(graph): + graph_, snapshot, connector, out = graph table = kumo.PredictiveQuery( graph=graph_, query='PREDICT ents.LABEL FOR EACH ents.ID' ).generate_training_table(snapshot) @@ -404,20 +357,11 @@ def test_warehouse_sink_receives_no_sidecars(graph): def write_files(connector, table_name, files, write_mode, **kwargs): calls.append(kwargs) - return table_name - connector = SimpleNamespace( + warehouse = SimpleNamespace( source_type='SNOWFLAKE', sink_backend=SimpleNamespace(write_files=write_files)) - table.export(TrainingTableOutputConfig(connector, 'DB.SCHEMA.TT')) + table.export(TrainingTableOutputConfig(warehouse, 'DB.SCHEMA.TT')) assert calls == [{'export_id': f'{table.tt_id}:tt-export-v1'}] - - -def test_csv_directory_export_gets_no_sidecar(graph): - graph_, snapshot, connector, out = graph - table = kumo.PredictiveQuery( - graph=graph_, query='PREDICT ents.LABEL FOR EACH ents.ID' - ).generate_training_table(snapshot) table.export(TrainingTableOutputConfig(connector, 'rows.csv/')) - names = {p.name for p in (out / 'rows.csv').iterdir()} - assert '_SUCCESS' in names and '_kumo_manifest.json' not in names + assert not (out / 'rows.csv' / '_kumo_manifest.json').exists() From fcde71ee4d5621ec2b26df8a5925e1e2fc4b2126 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 18:24:22 +0000 Subject: [PATCH 026/123] Read row counts and source mode from DiskGraph's manifest training-table-manifest.json repeated the per-stage row counts and the pql/custom source that DiskGraph already records in the table's manifest.json (stage_counts, source_mode) and tt_ingest_spec.json. Drop rows and source from the training-table manifest and expose TrainingTable.source_mode from DiskGraph's manifest; a custom table is still identified by parents.source_table. Verified with the training-table export, custom-source and predictive query suites. Co-Authored-By: Claude Opus 5.5 --- .../kumo/engine/pquery/predictive_query.py | 2 +- .../kumo/engine/pquery/training_table.py | 22 ++++++++++--------- .../test/test_training_table_export.py | 7 +++--- 3 files changed, 17 insertions(+), 14 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/pquery/predictive_query.py b/packages/kumo-engine/kumo/engine/pquery/predictive_query.py index 32736e86d..01a425fe2 100644 --- a/packages/kumo-engine/kumo/engine/pquery/predictive_query.py +++ b/packages/kumo-engine/kumo/engine/pquery/predictive_query.py @@ -316,7 +316,7 @@ def generate_training_table( required_stages=task_plan.task_dataset.required_stages, generation_plan=generation_plan, ) - _record_manifest(table, snapshot, task_plan.train_table, 'pql') + _record_manifest(table, snapshot, task_plan.train_table) return table def generate_prediction_table( diff --git a/packages/kumo-engine/kumo/engine/pquery/training_table.py b/packages/kumo-engine/kumo/engine/pquery/training_table.py index 165eab0c1..6f62b17dc 100644 --- a/packages/kumo-engine/kumo/engine/pquery/training_table.py +++ b/packages/kumo-engine/kumo/engine/pquery/training_table.py @@ -2,6 +2,7 @@ # All rights reserved. # SPDX-License-Identifier: Apache-2.0 +import json import warnings from dataclasses import dataclass, replace from pathlib import Path @@ -57,6 +58,14 @@ def manifest(self) -> Optional[Dict[str, Any]]: """Lineage recorded at generation; None for older tables.""" return read_manifest(self.staging_dir / STAGING_MANIFEST_FILE) + @property + def source_mode(self) -> Optional[str]: + """``pquery`` or ``custom_tt``, as DiskGraph recorded at generation.""" + try: + return json.loads(self.manifest_path.read_text())['source_mode'] + except (OSError, ValueError, KeyError, TypeError): + return None + def export(self, output_config: "TrainingTableOutputConfig") -> str: r"""Write the staged rows with a ``SPLIT`` column (``0`` train, ``1`` validation, ``2`` test) for :meth:`from_source_table`. Returns the @@ -226,7 +235,7 @@ def from_source_table( generation_plan=generation_plan, ) _record_manifest( - table, snapshot, task_plan.train_table, 'custom', + table, snapshot, task_plan.train_table, source_table=provenance.source_table(source_table.connector, source_table.table_name, source_table.sql, version)) @@ -234,14 +243,12 @@ def from_source_table( def _record_manifest(table: TrainingTable, snapshot: GraphSnapshot, - request: Any, source: str, *, + request: Any, *, source_table: Optional[Dict[str, Any]] = None) -> None: path = table.staging_dir / STAGING_MANIFEST_FILE try: from kumo_core.io.json import to_json_dict - from kumo_core.training.export import read_spec - spec = read_spec(str(table.staging_dir)) seed = None if request.split_family in _RANDOM_SPLITS: seed = (request.split_config or {}).get('rnd_seed') or 0 @@ -251,16 +258,11 @@ def _record_manifest(table: TrainingTable, snapshot: GraphSnapshot, write_manifest( path, new_manifest( - 'training_table', spec['tt_id'], parents, + 'training_table', table.tt_id, parents, query=table.query, generation_plan=to_json_dict(table.generation_plan), task_type=request.task_type, - rows={ - stage['key']: stage['row_count'] - for stage in spec.get('split_stages') or [] - }, split_seed=seed, - source=source, )) except Exception as error: warnings.warn( diff --git a/packages/kumo-engine/test/test_training_table_export.py b/packages/kumo-engine/test/test_training_table_export.py index 119e1be1b..64791b751 100644 --- a/packages/kumo-engine/test/test_training_table_export.py +++ b/packages/kumo-engine/test/test_training_table_export.py @@ -304,8 +304,9 @@ def test_manifest_and_export_sidecar(graph, tmp_path): manifest = table.manifest assert manifest['id'] == table.tt_id == _spec(table)['tt_id'] assert manifest['parents'] == {'snapshot': snapshot.id} - assert (manifest['query'], manifest['source']) == (query, 'pql') - assert manifest['rows'] == _seeds(table)[1] + assert manifest['query'] == query + assert 'rows' not in manifest and 'source' not in manifest + assert table.source_mode == 'pquery' assert manifest['split_seed'] == 0 directory = out / 'lineage' @@ -320,7 +321,7 @@ def test_manifest_and_export_sidecar(graph, tmp_path): connector['lineage'], TrainingTableSpec(split_col='SPLIT'), pq=pquery, snapshot=snapshot) manifest = reloaded.manifest - assert manifest['source'] == 'custom' + assert reloaded.source_mode == 'custom_tt' assert manifest['parents']['source_table'] == { 'connector': 'LOCAL_FILE', 'location': str(directory), From bba451d1646306f4cf7fac5844f9d363518991d8 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 21:07:01 +0000 Subject: [PATCH 027/123] Record a custom table's source as the snapshot's manifest does A custom training table always recorded its source's full location and no version kind, even when its snapshot was taken with record_locations=False. The source entry now carries version_kind and follows the snapshot manifest's record_locations choice. Verified with the training-table export tests. Co-Authored-By: Claude Opus 5.5 --- .../kumo/engine/pquery/training_table.py | 8 +++++--- .../test/test_training_table_export.py | 17 ++++++++++++++++- 2 files changed, 21 insertions(+), 4 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/pquery/training_table.py b/packages/kumo-engine/kumo/engine/pquery/training_table.py index 6f62b17dc..26c4cf000 100644 --- a/packages/kumo-engine/kumo/engine/pquery/training_table.py +++ b/packages/kumo-engine/kumo/engine/pquery/training_table.py @@ -236,9 +236,11 @@ def from_source_table( ) _record_manifest( table, snapshot, task_plan.train_table, - source_table=provenance.source_table(source_table.connector, - source_table.table_name, - source_table.sql, version)) + source_table=provenance.source_table( + source_table.connector, source_table.table_name, + source_table.sql, version, + record_locations=(snapshot.manifest + or {}).get('record_locations', True))) return table diff --git a/packages/kumo-engine/test/test_training_table_export.py b/packages/kumo-engine/test/test_training_table_export.py index 64791b751..f9a6ec05b 100644 --- a/packages/kumo-engine/test/test_training_table_export.py +++ b/packages/kumo-engine/test/test_training_table_export.py @@ -324,13 +324,28 @@ def test_manifest_and_export_sidecar(graph, tmp_path): assert reloaded.source_mode == 'custom_tt' assert manifest['parents']['source_table'] == { 'connector': 'LOCAL_FILE', - 'location': str(directory), + 'location': str(directory.resolve()), 'version': connector.source_backend.get_data_version( connector, 'lineage'), + 'version_kind': 'timestamp', } assert _seeds(reloaded)[1] == _seeds(table)[1] +def test_custom_table_follows_the_snapshots_record_locations(graph): + graph_, _, connector, _ = graph + pquery, _, _ = _export(graph, 'PREDICT ents.LABEL FOR EACH ents.ID', + 'unlocated') + try: + redacted = graph_.snapshot(record_locations=False) + table = kumo.TrainingTable.from_source_table( + connector['unlocated'], TrainingTableSpec(split_col='SPLIT'), + pq=pquery, snapshot=redacted) + finally: + graph_.snapshot() + assert table.manifest['parents']['source_table']['location'] == 'unlocated' + + def test_manifest_write_failure_keeps_generation_and_export( graph, monkeypatch): from kumo.engine.pquery import training_table From aeab584030dbf82667406c4956c48de2f9172c5a Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 22:13:59 +0000 Subject: [PATCH 028/123] Export a training table even when its manifest sidecar fails A failure while preparing _kumo_manifest.json (an unreadable staging manifest, an unexpected sink) failed the whole export. Preparing the sidecar is now best-effort: the rows are exported without it and a warning names the file. Verified with test_training_table_export.py. Co-Authored-By: Claude Opus 5.5 --- .../kumo/engine/pquery/training_table.py | 14 ++++++++++---- .../test/test_training_table_export.py | 16 ++++++++++++++++ 2 files changed, 26 insertions(+), 4 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/pquery/training_table.py b/packages/kumo-engine/kumo/engine/pquery/training_table.py index 26c4cf000..b05aefc44 100644 --- a/packages/kumo-engine/kumo/engine/pquery/training_table.py +++ b/packages/kumo-engine/kumo/engine/pquery/training_table.py @@ -101,11 +101,17 @@ def _export_sidecars(self, connector, output_config) -> Dict[str, Any]: manifest = self.staging_dir / STAGING_MANIFEST_FILE name = output_config.table_name.rstrip('/') - if (not isinstance(connector.sink_backend, ObjectStoreSinkBackend) - or layout.file_type(name) == layout.CSV - or not manifest.is_file()): + try: + if (not isinstance(connector.sink_backend, ObjectStoreSinkBackend) + or layout.file_type(name) == layout.CSV + or not manifest.is_file()): + return {} + return {'sidecars': {EXPORT_MANIFEST_FILE: manifest.read_bytes()}} + except Exception as error: + warnings.warn( + f"Exporting without {EXPORT_MANIFEST_FILE}: {error}", + UserWarning, stacklevel=3) return {} - return {'sidecars': {EXPORT_MANIFEST_FILE: manifest.read_bytes()}} @classmethod def from_source_table( diff --git a/packages/kumo-engine/test/test_training_table_export.py b/packages/kumo-engine/test/test_training_table_export.py index f9a6ec05b..b43c508ba 100644 --- a/packages/kumo-engine/test/test_training_table_export.py +++ b/packages/kumo-engine/test/test_training_table_export.py @@ -364,6 +364,22 @@ def fail(*args, **kwargs): assert exported.num_rows == sum(_seeds(table)[1].values()) +def test_unreadable_manifest_still_exports(graph): + graph_, snapshot, connector, out = graph + table = kumo.PredictiveQuery( + graph=graph_, query='PREDICT ents.LABEL FOR EACH ents.ID' + ).generate_training_table(snapshot) + manifest = table.staging_dir / 'training-table-manifest.json' + manifest.chmod(0) + try: + with pytest.warns(UserWarning, match='_kumo_manifest.json'): + table.export(TrainingTableOutputConfig(connector, 'unreadable')) + finally: + manifest.chmod(0o644) + assert list((out / 'unreadable').glob('*.parquet')) + assert not (out / 'unreadable' / '_kumo_manifest.json').exists() + + def test_no_sidecar_for_warehouse_or_csv_exports(graph): graph_, snapshot, connector, out = graph table = kumo.PredictiveQuery( From 370351b900f445d154009dc67d60f01bc43b5227 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 22:17:08 +0000 Subject: [PATCH 029/123] Follow the snapshot's record_sources choice graph.snapshot(record_locations=False) was renamed record_sources=False in the snapshot manifest; a custom training table built against such a snapshot reads the new field and records its source the same way. Verified with test_training_table_export.py and test_snapshot_manifest.py. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/kumo/engine/pquery/training_table.py | 4 ++-- packages/kumo-engine/test/test_training_table_export.py | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/pquery/training_table.py b/packages/kumo-engine/kumo/engine/pquery/training_table.py index b05aefc44..61996bdb2 100644 --- a/packages/kumo-engine/kumo/engine/pquery/training_table.py +++ b/packages/kumo-engine/kumo/engine/pquery/training_table.py @@ -245,8 +245,8 @@ def from_source_table( source_table=provenance.source_table( source_table.connector, source_table.table_name, source_table.sql, version, - record_locations=(snapshot.manifest - or {}).get('record_locations', True))) + record_sources=(snapshot.manifest + or {}).get('record_sources', True))) return table diff --git a/packages/kumo-engine/test/test_training_table_export.py b/packages/kumo-engine/test/test_training_table_export.py index b43c508ba..95b8755ec 100644 --- a/packages/kumo-engine/test/test_training_table_export.py +++ b/packages/kumo-engine/test/test_training_table_export.py @@ -332,12 +332,12 @@ def test_manifest_and_export_sidecar(graph, tmp_path): assert _seeds(reloaded)[1] == _seeds(table)[1] -def test_custom_table_follows_the_snapshots_record_locations(graph): +def test_custom_table_follows_the_snapshots_record_sources(graph): graph_, _, connector, _ = graph pquery, _, _ = _export(graph, 'PREDICT ents.LABEL FOR EACH ents.ID', 'unlocated') try: - redacted = graph_.snapshot(record_locations=False) + redacted = graph_.snapshot(record_sources=False) table = kumo.TrainingTable.from_source_table( connector['unlocated'], TrainingTableSpec(split_col='SPLIT'), pq=pquery, snapshot=redacted) From f266ec5fe5cb98d964e97e7e305b40c593c6b43e Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 22:29:02 +0000 Subject: [PATCH 030/123] Expect the listing kind for a reloaded export directory #50 types a directory's listing fingerprint as "listing"; the reloaded custom table records that kind. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/test/test_training_table_export.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/packages/kumo-engine/test/test_training_table_export.py b/packages/kumo-engine/test/test_training_table_export.py index 95b8755ec..68dd9983a 100644 --- a/packages/kumo-engine/test/test_training_table_export.py +++ b/packages/kumo-engine/test/test_training_table_export.py @@ -327,7 +327,7 @@ def test_manifest_and_export_sidecar(graph, tmp_path): 'location': str(directory.resolve()), 'version': connector.source_backend.get_data_version( connector, 'lineage'), - 'version_kind': 'timestamp', + 'version_kind': 'listing', } assert _seeds(reloaded)[1] == _seeds(table)[1] From 23f57a2e161900a8893391b318d9f11252b60070 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Thu, 22 Oct 2026 01:12:53 +0000 Subject: [PATCH 031/123] Record a custom table's source only when the snapshot did A custom training table read the snapshot's record_sources choice from the snapshot manifest and recorded full source locations when that file was missing or unreadable, so a snapshot taken with record_sources=False could still leak locations through the table's manifest. The table now follows GraphSnapshot.record_sources, then the manifest's recorded choice, and records connector and table name only when neither says the snapshot recorded sources. Verified with test_training_table_export.py and test_snapshot_manifest.py. Co-Authored-By: Claude Opus 5.5 --- .../kumo/engine/pquery/training_table.py | 9 +++++++-- .../test/test_training_table_export.py | 20 +++++++++++++------ 2 files changed, 21 insertions(+), 8 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/pquery/training_table.py b/packages/kumo-engine/kumo/engine/pquery/training_table.py index 61996bdb2..f212d665a 100644 --- a/packages/kumo-engine/kumo/engine/pquery/training_table.py +++ b/packages/kumo-engine/kumo/engine/pquery/training_table.py @@ -245,11 +245,16 @@ def from_source_table( source_table=provenance.source_table( source_table.connector, source_table.table_name, source_table.sql, version, - record_sources=(snapshot.manifest - or {}).get('record_sources', True))) + record_sources=_record_sources(snapshot))) return table +def _record_sources(snapshot: GraphSnapshot) -> bool: + if snapshot.record_sources is not None: + return snapshot.record_sources + return (snapshot.manifest or {}).get('record_sources') is True + + def _record_manifest(table: TrainingTable, snapshot: GraphSnapshot, request: Any, *, source_table: Optional[Dict[str, Any]] = None) -> None: diff --git a/packages/kumo-engine/test/test_training_table_export.py b/packages/kumo-engine/test/test_training_table_export.py index 68dd9983a..47c6b08a0 100644 --- a/packages/kumo-engine/test/test_training_table_export.py +++ b/packages/kumo-engine/test/test_training_table_export.py @@ -4,6 +4,7 @@ import json from collections import Counter +from dataclasses import replace from functools import partial from types import SimpleNamespace @@ -332,18 +333,25 @@ def test_manifest_and_export_sidecar(graph, tmp_path): assert _seeds(reloaded)[1] == _seeds(table)[1] -def test_custom_table_follows_the_snapshots_record_sources(graph): - graph_, _, connector, _ = graph +def test_custom_table_follows_the_snapshots_record_sources( + graph, monkeypatch): + graph_, snapshot, connector, _ = graph pquery, _, _ = _export(graph, 'PREDICT ents.LABEL FOR EACH ents.ID', 'unlocated') - try: - redacted = graph_.snapshot(record_sources=False) + + def location(snapshot): table = kumo.TrainingTable.from_source_table( connector['unlocated'], TrainingTableSpec(split_col='SPLIT'), - pq=pquery, snapshot=redacted) + pq=pquery, snapshot=snapshot) + return table.manifest['parents']['source_table']['location'] + + try: + assert location(graph_.snapshot(record_sources=False)) == 'unlocated' finally: graph_.snapshot() - assert table.manifest['parents']['source_table']['location'] == 'unlocated' + assert location(snapshot) != 'unlocated' + monkeypatch.setattr(kumo.GraphSnapshot, 'manifest', property(lambda _: None)) + assert location(replace(snapshot, record_sources=None)) == 'unlocated' def test_manifest_write_failure_keeps_generation_and_export( From f7c62c3c6f43d69464d4e75990ebab13408be92a Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Thu, 22 Oct 2026 18:42:54 +0000 Subject: [PATCH 032/123] Make the training-table manifest a frozen dataclass TrainingTable.manifest returned a dict like the snapshot manifest did. It now returns a TrainingTableManifest (parents: snapshot and, for a custom table, its source table) built on the shared manifest dataclasses; the file on disk and the exported _kumo_manifest.json are unchanged. Verified with test_training_table_export.py. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/kumo/engine/_manifest.py | 16 ++++++ .../kumo/engine/pquery/training_table.py | 29 +++++++---- .../test/test_training_table_export.py | 51 ++++++++++++++----- 3 files changed, 73 insertions(+), 23 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/_manifest.py b/packages/kumo-engine/kumo/engine/_manifest.py index e4466f3a9..fb38fa574 100644 --- a/packages/kumo-engine/kumo/engine/_manifest.py +++ b/packages/kumo-engine/kumo/engine/_manifest.py @@ -161,6 +161,22 @@ class SnapshotManifest(Manifest): record_sources: Optional[bool] = omit_none() +@dataclass(frozen=True, kw_only=True) +class TrainingTableParents(Record): + snapshot: str + source_table: Optional[SourceTableEntry] = omit_none() + + +@dataclass(frozen=True, kw_only=True) +class TrainingTableManifest(Manifest): + kind: str = 'training_table' + parents: TrainingTableParents + query: str + generation_plan: Dict[str, Any] + task_type: str + split_seed: Optional[int] + + def write_manifest(path: Path, manifest: Manifest) -> None: payload = json.dumps(manifest.to_dict(), indent=2, sort_keys=True) + '\n' atomic_write_bytes(path, payload.encode('utf-8')) diff --git a/packages/kumo-engine/kumo/engine/pquery/training_table.py b/packages/kumo-engine/kumo/engine/pquery/training_table.py index f212d665a..990b85dcb 100644 --- a/packages/kumo-engine/kumo/engine/pquery/training_table.py +++ b/packages/kumo-engine/kumo/engine/pquery/training_table.py @@ -14,7 +14,14 @@ from kumoapi.train import TrainingTableSpec from kumo.engine import _provenance as provenance -from kumo.engine._manifest import new_manifest, read_manifest, write_manifest +from kumo.engine._manifest import ( + SourceTableEntry, + TrainingTableManifest, + TrainingTableParents, + read_manifest, + stamp, + write_manifest, +) from kumo.engine.connector.source_table import SourceTable from kumo.engine.graph import GraphSnapshot @@ -54,9 +61,10 @@ def tt_id(self) -> str: return read_spec(str(self.staging_dir))['tt_id'] @property - def manifest(self) -> Optional[Dict[str, Any]]: + def manifest(self) -> Optional[TrainingTableManifest]: """Lineage recorded at generation; None for older tables.""" - return read_manifest(self.staging_dir / STAGING_MANIFEST_FILE) + return read_manifest(self.staging_dir / STAGING_MANIFEST_FILE, + TrainingTableManifest) @property def source_mode(self) -> Optional[str]: @@ -252,12 +260,13 @@ def from_source_table( def _record_sources(snapshot: GraphSnapshot) -> bool: if snapshot.record_sources is not None: return snapshot.record_sources - return (snapshot.manifest or {}).get('record_sources') is True + manifest = snapshot.manifest + return manifest is not None and manifest.record_sources is True def _record_manifest(table: TrainingTable, snapshot: GraphSnapshot, request: Any, *, - source_table: Optional[Dict[str, Any]] = None) -> None: + source_table: Optional[SourceTableEntry] = None) -> None: path = table.staging_dir / STAGING_MANIFEST_FILE try: from kumo_core.io.json import to_json_dict @@ -265,17 +274,17 @@ def _record_manifest(table: TrainingTable, snapshot: GraphSnapshot, seed = None if request.split_family in _RANDOM_SPLITS: seed = (request.split_config or {}).get('rnd_seed') or 0 - parents: Dict[str, Any] = {'snapshot': snapshot.id} - if source_table is not None: - parents['source_table'] = source_table write_manifest( path, - new_manifest( - 'training_table', table.tt_id, parents, + TrainingTableManifest( + id=table.tt_id, + parents=TrainingTableParents(snapshot=snapshot.id, + source_table=source_table), query=table.query, generation_plan=to_json_dict(table.generation_plan), task_type=request.task_type, split_seed=seed, + **stamp(), )) except Exception as error: warnings.warn( diff --git a/packages/kumo-engine/test/test_training_table_export.py b/packages/kumo-engine/test/test_training_table_export.py index 47c6b08a0..7bd2e20f5 100644 --- a/packages/kumo-engine/test/test_training_table_export.py +++ b/packages/kumo-engine/test/test_training_table_export.py @@ -19,6 +19,13 @@ from kumoapi.typing import Stype import kumo.engine as kumo +from kumo.engine._manifest import ( + SourceTableEntry, + TrainingTableManifest, + TrainingTableParents, + read_manifest, + write_manifest, +) from kumo.engine._scratch import get_scratch_dir from kumo.engine.trainer.output_config import TrainingTableOutputConfig @@ -303,12 +310,12 @@ def test_manifest_and_export_sidecar(graph, tmp_path): query = 'PREDICT ents.LABEL FOR EACH ents.ID' pquery, table, _ = _export(graph, query, 'lineage') manifest = table.manifest - assert manifest['id'] == table.tt_id == _spec(table)['tt_id'] - assert manifest['parents'] == {'snapshot': snapshot.id} - assert manifest['query'] == query - assert 'rows' not in manifest and 'source' not in manifest + assert manifest.id == table.tt_id == _spec(table)['tt_id'] + assert manifest.parents == TrainingTableParents(snapshot=snapshot.id) + assert manifest.query == query + assert manifest.extra == {} assert table.source_mode == 'pquery' - assert manifest['split_seed'] == 0 + assert manifest.split_seed == 0 directory = out / 'lineage' baseline = tmp_path / 'baseline' @@ -316,23 +323,41 @@ def test_manifest_and_export_sidecar(graph, tmp_path): for part in baseline.glob('*.parquet'): assert (directory / part.name).read_bytes() == part.read_bytes() assert json.loads( - (directory / '_kumo_manifest.json').read_bytes()) == manifest + (directory / '_kumo_manifest.json').read_bytes()) == manifest.to_dict() reloaded = kumo.TrainingTable.from_source_table( connector['lineage'], TrainingTableSpec(split_col='SPLIT'), pq=pquery, snapshot=snapshot) manifest = reloaded.manifest assert reloaded.source_mode == 'custom_tt' - assert manifest['parents']['source_table'] == { - 'connector': 'LOCAL_FILE', - 'location': str(directory.resolve()), - 'version': connector.source_backend.get_data_version( + assert manifest.parents.source_table == SourceTableEntry( + connector='LOCAL_FILE', + location=str(directory.resolve()), + version=connector.source_backend.get_data_version( connector, 'lineage'), - 'version_kind': 'listing', - } + version_kind='listing', + ) assert _seeds(reloaded)[1] == _seeds(table)[1] +def test_training_table_manifest_round_trips_unchanged(graph, tmp_path): + _, table, _ = _export(graph, 'PREDICT ents.LABEL FOR EACH ents.ID', + 'round_trip') + newer = json.loads( + (table.staging_dir / 'training-table-manifest.json').read_text()) + newer['future'] = 1 + newer['parents']['label_source'] = 'x' + source = tmp_path / 'newer.json' + source.write_text(json.dumps(newer, indent=2, sort_keys=True) + '\n') + + manifest = read_manifest(source, TrainingTableManifest) + write_manifest(tmp_path / 'out.json', manifest) + + assert (tmp_path / 'out.json').read_bytes() == source.read_bytes() + assert manifest.extra == {'future': 1} + assert manifest.parents.extra == {'label_source': 'x'} + + def test_custom_table_follows_the_snapshots_record_sources( graph, monkeypatch): graph_, snapshot, connector, _ = graph @@ -343,7 +368,7 @@ def location(snapshot): table = kumo.TrainingTable.from_source_table( connector['unlocated'], TrainingTableSpec(split_col='SPLIT'), pq=pquery, snapshot=snapshot) - return table.manifest['parents']['source_table']['location'] + return table.manifest.parents.source_table.location try: assert location(graph_.snapshot(record_sources=False)) == 'unlocated' From d867b57382efa00156913eb08cc3f69110623a27 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Tue, 20 Oct 2026 20:49:35 +0000 Subject: [PATCH 033/123] Record bundle_id and fit provenance in every model bundle A fitted model bundle had no stable id and recorded no fit time, seed, trials, library versions or parent ids. verify_model_bundle already computed a 16-hex content digest that every caller discarded. verify_model_bundle now returns the 64-hex bundle_id: sha256 over the sorted [relative_path, sha256] pairs of the verified files (plus an unlisted training-spec.json, as before), excluding provenance.json. TrainingResult.bundle_id and Trainer.bundle_id carry it from fit and load; older bundles get an id at load without being rewritten. A new kumo-core add_bundle_file lists a written file in the publication manifest and replaces the engine's own training-spec amend. Fit writes provenance.json (role provenance, integrity-covered, outside the id): parents (training table id, snapshot id, warm-start bundle id), seed, fit times, selected trial, per-trial status/seconds/best epoch/val metrics/varying plan params, environment and scheduler. TrainingResult.provenance reads it only when listed. Provenance and id failures warn; the bundle still publishes. Verified with new tests for the id formula and exclusion, add_bundle_file, a two-trial fit's provenance, id stability across load and copy, a bundle without provenance loading and predicting identically, a stray unlisted provenance file, a failing provenance write and the warm-start parent id; plus the registry, compatibility, warm-start, holdout, snapshot, carry- forward, explanation, training-table export, Databricks and Snowflake registry suites. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-core/src/kumo_core/artifacts.py | 56 ++++- packages/kumo-core/tests/test_artifacts.py | 42 ++++ .../kumo/engine/trainer/_provenance.py | 146 +++++++++++++ .../kumo-engine/kumo/engine/trainer/_spec.py | 43 +--- .../kumo/engine/trainer/trainer.py | 54 ++++- .../test/test_bundle_provenance.py | 194 ++++++++++++++++++ .../kumo-engine/test/test_trainer_registry.py | 10 +- packages/kumo-engine/test/test_warm_start.py | 1 + 8 files changed, 494 insertions(+), 52 deletions(-) create mode 100644 packages/kumo-engine/kumo/engine/trainer/_provenance.py create mode 100644 packages/kumo-engine/test/test_bundle_provenance.py diff --git a/packages/kumo-core/src/kumo_core/artifacts.py b/packages/kumo-core/src/kumo_core/artifacts.py index aa1b6fe82..e9afa1a06 100644 --- a/packages/kumo-core/src/kumo_core/artifacts.py +++ b/packages/kumo-core/src/kumo_core/artifacts.py @@ -244,14 +244,17 @@ def _sha256(path: Path) -> str: return digest.hexdigest() +PROVENANCE_FILE = 'provenance.json' + + def verify_model_bundle(bundle: Path) -> str: """Verify fetched artifacts before parsing or staging a model bundle. - Preserves the local SDK import verifier's error and content-identity - contract. Paths must stay inside the bundle after symlink resolution; - declared sizes and SHA-256 digests must match. Older manifests may omit - sizes or leave training-spec.json unlisted; its digest still participates - in the returned content identity. + Returns the bundle id: the SHA-256 of the sorted ``[relative_path, + sha256]`` pairs of every verified file except ``provenance.json``. Paths + must stay inside the bundle after symlink resolution; declared sizes and + SHA-256 digests must match. Older manifests may omit sizes or leave + training-spec.json unlisted; its digest still participates in the id. """ from .sources import layout from .sources.errors import PermanentSourceError @@ -269,7 +272,7 @@ def verify_model_bundle(bundle: Path) -> str: artifacts = manifest.get('artifacts') problems: list[str] = [] - verified: list[tuple[str, str, str]] = [] + verified: list[tuple[str, str]] = [] seen = set() claimed = set() if not artifacts: @@ -321,7 +324,7 @@ def verify_model_bundle(bundle: Path) -> str: if VitalArtifactPublicationPolicy._sha256(path) != expected: problems.append(f'{relative} does not match its digest') continue - verified.append((role, safe, expected)) + verified.append((safe, expected)) if problems: raise ValueError( f"The model bundle at {bundle} did not survive the transfer: " @@ -331,11 +334,42 @@ def verify_model_bundle(bundle: Path) -> str: if not spec_path.resolve().is_relative_to(bundle): raise ValueError('Training specification is not below the bundle') if 'training-spec.json' not in seen and spec_path.is_file(): - verified.append(('training_spec', 'training-spec.json', + verified.append(('training-spec.json', VitalArtifactPublicationPolicy._sha256(spec_path))) - payload = json.dumps(sorted(verified), sort_keys=True, - separators=(',', ':'), default=str) - return hashlib.sha256(payload.encode('utf-8')).hexdigest()[:16] + payload = json.dumps( + sorted(pair for pair in verified if pair[0] != PROVENANCE_FILE), + separators=(',', ':')) + return hashlib.sha256(payload.encode('utf-8')).hexdigest() + + +def add_bundle_file(bundle_dir: Path, role: str, relative_path: str) -> None: + """List one file already written in a bundle in its publication manifest.""" + bundle_dir = Path(bundle_dir) + path = bundle_dir / relative_path + manifest_path = bundle_dir / VitalArtifactPublicationPolicy.MANIFEST_NAME + manifest = json.loads(manifest_path.read_text(encoding='utf-8')) + manifest['artifacts'] = [ + entry for entry in manifest.get('artifacts') or [] + if entry.get('relative_path') != relative_path + and entry.get('role') != role + ] + [ + PublishedArtifact( + role=role, + relative_path=relative_path, + size_bytes=path.stat().st_size, + sha256=VitalArtifactPublicationPolicy._sha256(path), + ).to_dict() + ] + temporary = manifest_path.with_name(f'.{manifest_path.name}.tmp') + try: + with temporary.open('w', encoding='utf-8') as handle: + handle.write(json.dumps(manifest, indent=2, sort_keys=True) + '\n') + handle.flush() + os.fsync(handle.fileno()) + os.replace(temporary, manifest_path) + FilesystemArtifactStore._fsync_directory(bundle_dir) + finally: + temporary.unlink(missing_ok=True) @runtime_checkable diff --git a/packages/kumo-core/tests/test_artifacts.py b/packages/kumo-core/tests/test_artifacts.py index 071f4339b..e29622b96 100644 --- a/packages/kumo-core/tests/test_artifacts.py +++ b/packages/kumo-core/tests/test_artifacts.py @@ -15,7 +15,9 @@ FilesystemVitalArtifactPublisher, VitalArtifactPublicationPolicy, VitalArtifactSources, + add_bundle_file, resolve_vital_artifact_sources, + verify_model_bundle, ) from kumo_core.config import NativeRuntimeConfig from kumo_core.manifest import RunManifest, RunPaths @@ -237,3 +239,43 @@ def best_ckpt(self): assert sources.selected_checkpoint == checkpoints[selected_mode] assert sources.graph_manifest == bundle / "graph.json" assert json.loads(sources.metrics.read_text()) == {"test_accuracy": 0.8} + + +def test_bundle_id_covers_listed_files_except_provenance( + tmp_path: Path) -> None: + sources, _ = _vital_sources(tmp_path) + bundle = tmp_path / "bundle" + VitalArtifactPublicationPolicy().publish(sources, bundle) + (bundle / "training-spec.json").write_text("{}") + entries = json.loads( + (bundle / "publication-manifest.json").read_text())["artifacts"] + pairs = sorted([entry["relative_path"], entry["sha256"]] + for entry in entries) + pairs = sorted(pairs + [[ + "training-spec.json", + hashlib.sha256(b"{}").hexdigest(), + ]]) + expected = hashlib.sha256( + json.dumps(pairs, separators=(",", ":")).encode()).hexdigest() + + assert verify_model_bundle(bundle) == expected + add_bundle_file(bundle, "training_spec", "training-spec.json") + assert verify_model_bundle(bundle) == expected + + (bundle / "provenance.json").write_text('{"a": 1}') + add_bundle_file(bundle, "provenance", "provenance.json") + assert verify_model_bundle(bundle) == expected + (bundle / "provenance.json").write_text('{"a": 2}') + with pytest.raises(ValueError, match="provenance.json"): + verify_model_bundle(bundle) + add_bundle_file(bundle, "provenance", "provenance.json") + assert verify_model_bundle(bundle) == expected + + roles = [ + entry["role"] for entry in json.loads( + (bundle / "publication-manifest.json").read_text())["artifacts"] + ] + assert roles.count("provenance") == 1 + (bundle / "metrics.json").write_text('{"auc": 0}') + add_bundle_file(bundle, "metrics", "metrics.json") + assert verify_model_bundle(bundle) != expected diff --git a/packages/kumo-engine/kumo/engine/trainer/_provenance.py b/packages/kumo-engine/kumo/engine/trainer/_provenance.py new file mode 100644 index 000000000..31740c462 --- /dev/null +++ b/packages/kumo-engine/kumo/engine/trainer/_provenance.py @@ -0,0 +1,146 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. +# All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +r"""Descriptive fit record stored as ``provenance.json`` in a model bundle. + +It is integrity-covered by the publication manifest but excluded from the +bundle id, so its volatile fields (times, environment, scheduler) never change +which model a bundle is. +""" + +import csv +import json +import math +import re +from datetime import datetime, timezone +from pathlib import Path +from typing import Any, Dict, List, Optional + +from kumo.engine._manifest import ( + _flatten, + new_manifest, + read_manifest, + write_manifest, +) +from kumo.engine.pquery.training_table import TrainingTable +from kumo.engine.trainer._spec import ( + MANIFEST_FILE, + PROVENANCE_ROLE, + SPEC_VERSION, +) + + +def write_provenance( + bundle_dir: Path, + *, + train_table: TrainingTable, + snapshot_id: str, + warm_start_bundle_id: Optional[str], + started_at: datetime, + home_dir: Path, +) -> None: + from kumo_core.artifacts import PROVENANCE_FILE, add_bundle_file + + config = _read_json(bundle_dir / 'model' / 'config.json') or {} + finished_at = datetime.now(timezone.utc) + parents = { + 'training_table': train_table.tt_id, + 'training_table_content_sha256': + (train_table.manifest or {}).get('content_sha256'), + 'snapshot': snapshot_id, + 'warm_start': warm_start_bundle_id, + } + write_manifest( + bundle_dir / PROVENANCE_FILE, + new_manifest( + 'model_bundle', None, parents, + bundle_format_version=SPEC_VERSION, + seed=config.get('random_state_seed'), + fit={ + 'started_at': started_at.isoformat(timespec='seconds'), + 'finished_at': finished_at.isoformat(timespec='seconds'), + 'seconds': round((finished_at - started_at).total_seconds(), + 3), + }, + selected_trial=config.get('version'), + trials=_trials(home_dir, Path(config['root_dir'])), + )) + add_bundle_file(bundle_dir, PROVENANCE_ROLE, PROVENANCE_FILE) + + +def read_provenance(bundle_dir: Path) -> Optional[Dict[str, Any]]: + manifest = _read_json(bundle_dir / MANIFEST_FILE) or {} + for entry in manifest.get('artifacts') or []: + if entry.get('role') == PROVENANCE_ROLE: + return read_manifest(bundle_dir / entry['relative_path']) + return None + + +def _trials(home_dir: Path, automl_dir: Path) -> List[Dict[str, Any]]: + status = { + entry['trial']: entry + for entry in (_read_json(home_dir / 'status.json') or {}).get( + 'trials') or [] + } + versions = { + int(match.group(1)) + for path in automl_dir.iterdir() + if (match := re.fullmatch(r'version_(\d+)', path.name)) + } + trials, plans = [], {} + for trial in sorted(status.keys() | versions): + log_dir = automl_dir / f'version_{trial}' + config = _read_json(log_dir / 'config.json') or {} + progress = _read_json(log_dir / 'train_progress.json') or {} + best_epoch = (config.get('refit_cfg') or {}).get('best_val_epoch', -1) + succeeded = status.get(trial, {}).get('succeed') + trials.append({ + 'trial': trial, + 'status': (None if succeeded is None else + 'succeeded' if succeeded else 'failed'), + 'seconds': progress.get('elapsed_time'), + 'best_epoch': best_epoch if best_epoch >= 0 else None, + 'metrics': _val_metrics(log_dir / 'val_result.csv'), + }) + plans[trial] = { + key: json.dumps(value, sort_keys=True) + for key, value in _flatten( + _read_json(log_dir / 'model_plan.json') or {}).items() + } + varying = sorted( + key for key in {key + for plan in plans.values() for key in plan} + if len({plan.get(key) + for plan in plans.values()}) > 1) + for entry in trials: + plan = plans[entry['trial']] + entry['params'] = { + key: json.loads(plan[key]) if key in plan else None + for key in varying + } + return trials + + +def _val_metrics(path: Path) -> Dict[str, float]: + try: + with open(path, newline='', encoding='utf-8') as handle: + row = next(csv.DictReader(handle), None) or {} + except OSError: + return {} + metrics = {} + for key, value in row.items(): + try: + number = float(value) + except (TypeError, ValueError): + continue + if key.startswith('val_') and math.isfinite(number): + metrics[key] = number + return metrics + + +def _read_json(path: Path) -> Optional[Dict[str, Any]]: + try: + data = json.loads(path.read_text(encoding='utf-8')) + except (OSError, ValueError): + return None + return data if isinstance(data, dict) else None diff --git a/packages/kumo-engine/kumo/engine/trainer/_spec.py b/packages/kumo-engine/kumo/engine/trainer/_spec.py index 147817c0e..637714d45 100644 --- a/packages/kumo-engine/kumo/engine/trainer/_spec.py +++ b/packages/kumo-engine/kumo/engine/trainer/_spec.py @@ -9,11 +9,10 @@ separate and must be supplied through a compatible prediction snapshot. """ -import hashlib import json from dataclasses import asdict, dataclass from pathlib import Path -from typing import Any, Dict +from typing import Any, Dict, Tuple from kumo_core.io.filesystem import atomic_write_bytes from kumoapi.model_plan import ModelPlan, TrainingTableGenerationPlan @@ -23,10 +22,10 @@ SPEC_VERSION = 1 #: What `kumo_core`'s `VitalArtifactPublicationPolicy` names its own -#: manifest. `write_training_spec` amends this file's `artifacts` list so -#: `training-spec.json` is covered the same way every other bundle file is. +#: manifest; `training-spec.json` is listed in it like every other file. MANIFEST_FILE = 'publication-manifest.json' SPEC_ROLE = 'training_spec' +PROVENANCE_ROLE = 'provenance' @dataclass(frozen=True) @@ -45,12 +44,6 @@ class TrainingSpec: training_table_generation: Dict[str, Any] -def _sha256(path: Path) -> str: - digest = hashlib.sha256() - digest.update(path.read_bytes()) - return digest.hexdigest() - - def write_training_spec( bundle_dir: Path, *, @@ -60,6 +53,7 @@ def write_training_spec( training_table_generation: TrainingTableGenerationPlan, ) -> None: r"""Write an integrity-covered training spec into a completed bundle.""" + from kumo_core.artifacts import add_bundle_file from kumo_core.io.json import to_json_dict spec = TrainingSpec( @@ -75,23 +69,7 @@ def write_training_spec( (json.dumps(asdict(spec), indent=2, sort_keys=True) + '\n').encode('utf-8'), ) - - manifest_path = bundle_dir / MANIFEST_FILE - with open(manifest_path, encoding='utf-8') as handle: - manifest = json.load(handle) - manifest['artifacts'] = [ - entry for entry in manifest.get('artifacts') or [] - if entry.get('relative_path') != SPEC_FILE - ] + [{ - 'role': SPEC_ROLE, - 'relative_path': SPEC_FILE, - 'size_bytes': spec_path.stat().st_size, - 'sha256': _sha256(spec_path), - }] - atomic_write_bytes( - manifest_path, - (json.dumps(manifest, indent=2, sort_keys=True) + '\n').encode('utf-8'), - ) + add_bundle_file(bundle_dir, SPEC_ROLE, SPEC_FILE) def read_training_spec(bundle_dir: Path) -> TrainingSpec: @@ -125,11 +103,12 @@ def read_training_spec(bundle_dir: Path) -> TrainingSpec: ) -def read_bundle_artifact_paths(bundle_dir: Path) -> Dict[str, str]: - r"""Rebuild the verified ``role -> path`` artifact mapping.""" +def read_bundle_artifact_paths( + bundle_dir: Path) -> Tuple[Dict[str, str], str]: + r"""Rebuild the verified ``role -> path`` mapping and the bundle id.""" from kumo_core.artifacts import verify_model_bundle - verify_model_bundle(bundle_dir) + bundle_id = verify_model_bundle(bundle_dir) manifest_path = bundle_dir / MANIFEST_FILE if not manifest_path.is_file(): raise ValueError( @@ -150,5 +129,5 @@ def read_bundle_artifact_paths(bundle_dir: Path) -> Dict[str, str]: return { entry['role']: str(bundle_dir / entry['relative_path']) for entry in artifacts - if entry['role'] != SPEC_ROLE - } + if entry['role'] not in (SPEC_ROLE, PROVENANCE_ROLE) + }, bundle_id diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index 86f3e6a69..abb6e0850 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -8,6 +8,7 @@ import json import logging import time +import warnings from dataclasses import dataclass, replace from datetime import datetime, timezone from pathlib import Path @@ -72,6 +73,9 @@ class TrainingResult: model bundle. The file is capped at 1 GiB in memory; `holdout_truncated` is true when rows were dropped to fit, and `None` when the size record could not be read. + + `bundle_id` is the content id of the model bundle's scoring files, + computed when the bundle is written or loaded. """ metrics: Dict[str, float] @@ -80,6 +84,14 @@ class TrainingResult: published_model: Optional[PublishedModel] = None holdout_path: Optional[Path] = None holdout_truncated: Optional[bool] = False + bundle_id: Optional[str] = None + + @property + def provenance(self) -> Optional[Dict[str, Any]]: + """The bundle's recorded fit provenance; None for older bundles.""" + from kumo.engine.trainer._provenance import read_provenance + + return read_provenance(self.bundle_dir) def holdout_df(self) -> pd.DataFrame: r"""Read the holdout predictions as a pandas DataFrame. @@ -255,6 +267,13 @@ def training_table_generation_plan( def scratch_dir(self) -> Path: return trainer_scratch_dir(self._id) + @property + def bundle_id(self) -> Optional[str]: + """Content id of the fitted or loaded model bundle.""" + if self._training_result is None: + return None + return self._training_result.bundle_id + def fit( self, train_table: TrainingTable, @@ -315,18 +334,21 @@ def fit( raise NotImplementedError( f'{type(export_config.connector).__name__} cannot publish ' f'models') + started_at = datetime.now(timezone.utc) run_id = f'{self._id}-fit-{new_run_id()}' run_dir = self.scratch_dir / 'runs' / run_id model_plan = _to_core_model_plan(self._model_plan) warm_start_artifacts = None + warm_start_bundle_id = None effective_plan = self._model_plan if warm_start is not None: if warm_start._training_result is None: raise ValueError( "warm_start requires a fitted or loaded Trainer") - warm_start_artifacts = read_bundle_artifact_paths( - warm_start._training_result.bundle_dir) + warm_start_artifacts, warm_start_bundle_id = ( + read_bundle_artifact_paths( + warm_start._training_result.bundle_dir)) inherit_warm_start_model_plan( model_plan, load_json(warm_start_artifacts['resolved_model_plan'], @@ -475,6 +497,10 @@ def fit( training_table_generation=train_table.generation_plan, export_config=export_config, model_plan=effective_plan, + provenance=dict(train_table=train_table, + snapshot_id=snapshot.id, + warm_start_bundle_id=warm_start_bundle_id, + started_at=started_at, home_dir=run_dir), ) def _finish_fit( @@ -486,8 +512,13 @@ def _finish_fit( training_table_generation: TrainingTableGenerationPlan, export_config: Optional[ModelOutputConfig], model_plan: Optional[ModelPlan] = None, + provenance: Optional[Mapping[str, Any]] = None, ) -> TrainingResult: """Commit durable fit outputs before making this trainer usable.""" + from kumo_core.artifacts import verify_model_bundle + + from kumo.engine.trainer._provenance import write_provenance + effective_plan = model_plan if model_plan is not None else self._model_plan write_training_spec( training_result.bundle_dir, @@ -496,6 +527,20 @@ def _finish_fit( snapshot_id=snapshot_id, training_table_generation=training_table_generation, ) + if provenance is not None: + try: + write_provenance(training_result.bundle_dir, **provenance) + except Exception as error: + warnings.warn( + f"Publishing the model bundle without provenance.json: " + f"{error}", UserWarning, stacklevel=3) + try: + training_result = replace( + training_result, + bundle_id=verify_model_bundle(training_result.bundle_dir)) + except (OSError, ValueError) as error: + warnings.warn(f"Could not compute the bundle id: {error}", + UserWarning, stacklevel=3) if export_config is not None: spec = read_training_spec(training_result.bundle_dir) published = export_config.connector.sink_backend.publish_model( @@ -776,7 +821,7 @@ def _load_bundle( embedding_models: Optional[EmbeddingModelStore] = None, ) -> Self: bundle_dir = bundle_dir.resolve() - paths = read_bundle_artifact_paths(bundle_dir) + paths, bundle_id = read_bundle_artifact_paths(bundle_dir) spec = read_training_spec(bundle_dir) from kumo_core.io.json import from_json_dict plan = from_json_dict(spec.model_plan, ModelPlan) @@ -788,5 +833,6 @@ def _load_bundle( trainer._training_query = spec.predictive_query trainer._training_table_generation_plan = from_json_dict( spec.training_table_generation, TrainingTableGenerationPlan) - trainer._training_result = TrainingResult(metrics, paths, bundle_dir) + trainer._training_result = TrainingResult(metrics, paths, bundle_dir, + bundle_id=bundle_id) return trainer diff --git a/packages/kumo-engine/test/test_bundle_provenance.py b/packages/kumo-engine/test/test_bundle_provenance.py new file mode 100644 index 000000000..443c90742 --- /dev/null +++ b/packages/kumo-engine/test/test_bundle_provenance.py @@ -0,0 +1,194 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. +# All rights reserved. +# SPDX-License-Identifier: Apache-2.0 + +import json +import re +import shutil +from datetime import datetime, timezone + +import numpy as np +import pandas as pd +import pytest +from kumo_core.artifacts import add_bundle_file +from kumoapi.graph import Edge +from kumoapi.model_plan import ModelPlan, TrainingTableGenerationPlan +from kumoapi.typing import Stype + +import kumo.engine as kumo +from kumo.engine._scratch import get_scratch_dir +from kumo.engine.trainer._spec import MANIFEST_FILE +from kumo.engine.trainer.trainer import TrainingResult + + +@pytest.fixture(scope='module') +def two_trials(tmp_path_factory): + root = tmp_path_factory.mktemp('provenance') + previous = get_scratch_dir() + kumo.configure(scratch_dir=root / 'scratch') + try: + rng = np.random.default_rng(0) + data = root / 'data' + data.mkdir() + pd.DataFrame({'ID': np.arange(50)}).to_parquet(data / 'ents.parquet') + pd.DataFrame({ + 'EID': + np.arange(3000), + 'ENT_ID': + rng.integers(0, 50, 3000), + 'TS': + pd.Timestamp('2024-01-01') + + pd.to_timedelta(rng.integers(0, 120, 3000), unit='D'), + }).to_parquet(data / 'events.parquet') + connector = kumo.FileConnector(root_dir=str(data)) + events = kumo.Table.from_source_table( + connector['events.parquet'], primary_key='EID', + time_column='TS').infer_metadata().with_column( + 'ENT_ID', stype=Stype.ID) + graph = kumo.Graph( + tables={ + 'ents': + kumo.Table.from_source_table(connector['ents.parquet'], + primary_key='ID').infer_metadata(), + 'events': + events, + }, + edges=[Edge(src_table='events', fkey='ENT_ID', dst_table='ents')]) + snapshot = graph.snapshot() + pquery = kumo.PredictiveQuery( + graph=graph, query='PREDICT COUNT(events.*, 0, 7, days) > 0 ' + 'FOR EACH ents.ID') + plan = ModelPlan() + plan.training_job.disable_explain = True + plan.training_job.num_experiments = 2 + plan.optimization.max_epochs = 1 + plan.optimization.max_steps_per_epoch = 2 + table = pquery.generate_training_table(snapshot) + trainer = kumo.Trainer(model_plan=plan) + result = trainer.fit(table, snapshot=snapshot) + yield (trainer, result, table, snapshot, + pquery.generate_prediction_table(snapshot)) + finally: + kumo.configure(scratch_dir=previous) + + +def _predict(trainer, table, snapshot): + result = trainer.predict(table, snapshot=snapshot, + binary_classification_threshold=.5) + return result.frame.sort_values('ENTITY').reset_index(drop=True) + + +def _roles(bundle): + manifest = json.loads((bundle / MANIFEST_FILE).read_text()) + return {entry['role']: entry for entry in manifest['artifacts']} + + +def _strip_provenance(bundle): + manifest = json.loads((bundle / MANIFEST_FILE).read_text()) + manifest['artifacts'] = [ + entry for entry in manifest['artifacts'] + if entry['role'] != 'provenance' + ] + (bundle / MANIFEST_FILE).write_text(json.dumps(manifest)) + (bundle / 'provenance.json').unlink() + + +def test_fit_records_listed_provenance(two_trials): + trainer, result, table, snapshot, _ = two_trials + assert _roles(result.bundle_dir)['provenance']['relative_path'] == ( + 'provenance.json') + provenance = result.provenance + assert provenance['kind'] == 'model_bundle' + assert provenance['bundle_format_version'] == 1 + assert provenance['parents'] == { + 'training_table': table.tt_id, + 'training_table_content_sha256': None, + 'snapshot': snapshot.id, + 'warm_start': None, + } + assert provenance['seed'] is None + assert provenance['fit']['seconds'] >= 0 + assert [trial['trial'] for trial in provenance['trials']] == [0, 1] + assert {trial['status'] for trial in provenance['trials']} == {'succeeded'} + assert provenance['selected_trial'] in (0, 1) + for trial in provenance['trials']: + assert trial['best_epoch'] == 1 + assert trial['seconds'] > 0 + assert 'val_auroc' in trial['metrics'] + params = [trial['params'] for trial in provenance['trials']] + assert params[0] and params[0].keys() == params[1].keys() + assert all(params[0][key] != params[1][key] for key in params[0]) + assert provenance['environment']['kumo_engine'] == kumo.__version__ + assert trainer.bundle_id == result.bundle_id + + +def test_bundle_id_is_content_identity(two_trials, tmp_path): + trainer, result, *_ = two_trials + assert re.fullmatch('[0-9a-f]{64}', result.bundle_id) + assert kumo.Trainer.load(result.bundle_dir).bundle_id == result.bundle_id + copy = tmp_path / 'copy' + shutil.copytree(result.bundle_dir, copy) + assert kumo.Trainer.load(copy).bundle_id == result.bundle_id + + provenance = json.loads((copy / 'provenance.json').read_text()) + provenance['fit']['seconds'] = -1 + (copy / 'provenance.json').write_text(json.dumps(provenance)) + add_bundle_file(copy, 'provenance', 'provenance.json') + reloaded = kumo.Trainer.load(copy) + assert reloaded.bundle_id == result.bundle_id + assert reloaded._training_result.provenance['fit']['seconds'] == -1 + + config = copy / 'model' / 'config.json' + config.write_text(config.read_text() + ' ') + add_bundle_file(copy, 'trainer_config', 'model/config.json') + assert kumo.Trainer.load(copy).bundle_id != result.bundle_id + + +def test_bundle_without_provenance_loads_and_predicts_identically( + two_trials, tmp_path): + trainer, result, _, snapshot, prediction_table = two_trials + old = tmp_path / 'old' + shutil.copytree(result.bundle_dir, old) + _strip_provenance(old) + + restored = kumo.Trainer.load(old) + assert restored.bundle_id == result.bundle_id + assert restored._training_result.provenance is None + pd.testing.assert_frame_equal(_predict(restored, prediction_table, + snapshot), + _predict(trainer, prediction_table, snapshot)) + + (old / 'provenance.json').write_text(json.dumps(result.provenance)) + stray = kumo.Trainer.load(old) + assert stray._training_result.provenance is None + assert stray.bundle_id == result.bundle_id + + +def test_provenance_failure_warns_and_still_publishes(tmp_path, monkeypatch): + from kumo.engine.trainer import _provenance + + bundle = tmp_path / 'bundle' + (bundle / 'model').mkdir(parents=True) + (bundle / 'model' / 'config.json').write_text('{"root_dir": "automl"}') + (bundle / MANIFEST_FILE).write_text(json.dumps({'artifacts': []})) + add_bundle_file(bundle, 'trainer_config', 'model/config.json') + + def fail(*args): + raise RuntimeError('unreadable trials') + + monkeypatch.setattr(_provenance, '_trials', fail) + table = type('Table', (), {'tt_id': 'tt-1', 'manifest': None})() + trainer = kumo.Trainer(ModelPlan()) + with pytest.warns(UserWarning, match='unreadable trials'): + result = trainer._finish_fit( + TrainingResult({}, {}, bundle), predictive_query='PREDICT x', + snapshot_id='snap', export_config=None, + training_table_generation=TrainingTableGenerationPlan(), + provenance=dict(train_table=table, snapshot_id='snap', + warm_start_bundle_id=None, + started_at=datetime.now(timezone.utc), + home_dir=tmp_path)) + assert 'provenance' not in _roles(bundle) + assert result.provenance is None + assert re.fullmatch('[0-9a-f]{64}', result.bundle_id) + assert trainer._training_result is result diff --git a/packages/kumo-engine/test/test_trainer_registry.py b/packages/kumo-engine/test/test_trainer_registry.py index 9736054bc..789dd0315 100644 --- a/packages/kumo-engine/test/test_trainer_registry.py +++ b/packages/kumo-engine/test/test_trainer_registry.py @@ -210,13 +210,13 @@ def test_finish_fit_persists_spec_without_export_before_exposing_state( trainer = Trainer(ModelPlan()) result = TrainingResult({'auc': .9}, {}, bundle) - assert trainer._finish_fit(result, predictive_query='PREDICT COUNT(*)', - snapshot_id='snap-123', - training_table_generation=_generation_plan(), - export_config=None) is result + finished = trainer._finish_fit( + result, predictive_query='PREDICT COUNT(*)', snapshot_id='snap-123', + training_table_generation=_generation_plan(), export_config=None) assert (bundle / SPEC_FILE).is_file() - assert trainer._training_result is result + assert finished.bundle_id == Trainer.load(bundle).bundle_id + assert trainer._training_result is finished assert trainer._snapshot_id == 'snap-123' assert trainer._training_query == 'PREDICT COUNT(*)' assert result.published_model is None diff --git a/packages/kumo-engine/test/test_warm_start.py b/packages/kumo-engine/test/test_warm_start.py index e79130045..d60a645cb 100644 --- a/packages/kumo-engine/test/test_warm_start.py +++ b/packages/kumo-engine/test/test_warm_start.py @@ -182,6 +182,7 @@ def configure(self): patch.setattr(BaseLightningModule, 'configure_optimizers', configure) second = destination.fit(table, snapshot=snapshot, warm_start=source) assert restored_states and configured_states + assert second.provenance['parents']['warm_start'] == source.bundle_id assert destination.model_plan == configured_plan assert _hash_bundle(durable) == original_hashes assert _hash_bundle(source_bundle) == original_hashes From 4ced9587c259c20f37b7c3cf7ddb02ad0d0c28fe Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Tue, 20 Oct 2026 21:03:27 +0000 Subject: [PATCH 034/123] Address bundle provenance review feedback Any bundle-id failure now warns instead of only OSError/ValueError. Provenance drops the always-null training-table content digest and records a training_table object (id, derived_from, modified) copied from the training-table manifest. Missing trial logs yield an empty trials list so parents, seed, times and environment are still written. Single-element trial params are unwrapped. new_manifest accepts a null id. Verified with the bundle provenance (incl. a new missing-trial-logs test), trainer registry, warm start and kumo-core artifact suites. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/kumo/engine/_manifest.py | 2 +- .../kumo/engine/trainer/_provenance.py | 26 ++++++++--- .../kumo/engine/trainer/trainer.py | 2 +- .../test/test_bundle_provenance.py | 45 ++++++++++++------- 4 files changed, 52 insertions(+), 23 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/_manifest.py b/packages/kumo-engine/kumo/engine/_manifest.py index fb38fa574..0046bee77 100644 --- a/packages/kumo-engine/kumo/engine/_manifest.py +++ b/packages/kumo-engine/kumo/engine/_manifest.py @@ -128,7 +128,7 @@ class SourceTableEntry(Record): class Manifest(Record): kind: str schema_version: int = SCHEMA_VERSION - id: str + id: Optional[str] created_at: Optional[str] environment: Optional[Environment] scheduler: Optional[SchedulerContext] diff --git a/packages/kumo-engine/kumo/engine/trainer/_provenance.py b/packages/kumo-engine/kumo/engine/trainer/_provenance.py index 31740c462..6c6ae586e 100644 --- a/packages/kumo-engine/kumo/engine/trainer/_provenance.py +++ b/packages/kumo-engine/kumo/engine/trainer/_provenance.py @@ -43,10 +43,10 @@ def write_provenance( config = _read_json(bundle_dir / 'model' / 'config.json') or {} finished_at = datetime.now(timezone.utc) + tt_id = train_table.tt_id + table_manifest = train_table.manifest or {} parents = { - 'training_table': train_table.tt_id, - 'training_table_content_sha256': - (train_table.manifest or {}).get('content_sha256'), + 'training_table': tt_id, 'snapshot': snapshot_id, 'warm_start': warm_start_bundle_id, } @@ -62,8 +62,14 @@ def write_provenance( 'seconds': round((finished_at - started_at).total_seconds(), 3), }, + training_table={ + 'id': tt_id, + 'derived_from': + (table_manifest.get('parents') or {}).get('derived_from'), + 'modified': table_manifest.get('modified'), + }, selected_trial=config.get('version'), - trials=_trials(home_dir, Path(config['root_dir'])), + trials=_trials(home_dir, config.get('root_dir')), )) add_bundle_file(bundle_dir, PROVENANCE_ROLE, PROVENANCE_FILE) @@ -76,7 +82,11 @@ def read_provenance(bundle_dir: Path) -> Optional[Dict[str, Any]]: return None -def _trials(home_dir: Path, automl_dir: Path) -> List[Dict[str, Any]]: +def _trials(home_dir: Path, + root_dir: Optional[str]) -> List[Dict[str, Any]]: + automl_dir = Path(root_dir) if root_dir else None + if automl_dir is None or not automl_dir.is_dir(): + return [] status = { entry['trial']: entry for entry in (_read_json(home_dir / 'status.json') or {}).get( @@ -115,12 +125,16 @@ def _trials(home_dir: Path, automl_dir: Path) -> List[Dict[str, Any]]: for entry in trials: plan = plans[entry['trial']] entry['params'] = { - key: json.loads(plan[key]) if key in plan else None + key: _unwrap(json.loads(plan[key])) if key in plan else None for key in varying } return trials +def _unwrap(value: Any) -> Any: + return value[0] if isinstance(value, list) and len(value) == 1 else value + + def _val_metrics(path: Path) -> Dict[str, float]: try: with open(path, newline='', encoding='utf-8') as handle: diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index abb6e0850..b7e6e4e36 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -538,7 +538,7 @@ def _finish_fit( training_result = replace( training_result, bundle_id=verify_model_bundle(training_result.bundle_dir)) - except (OSError, ValueError) as error: + except Exception as error: warnings.warn(f"Could not compute the bundle id: {error}", UserWarning, stacklevel=3) if export_config is not None: diff --git a/packages/kumo-engine/test/test_bundle_provenance.py b/packages/kumo-engine/test/test_bundle_provenance.py index 443c90742..ba3e383de 100644 --- a/packages/kumo-engine/test/test_bundle_provenance.py +++ b/packages/kumo-engine/test/test_bundle_provenance.py @@ -102,10 +102,14 @@ def test_fit_records_listed_provenance(two_trials): assert provenance['bundle_format_version'] == 1 assert provenance['parents'] == { 'training_table': table.tt_id, - 'training_table_content_sha256': None, 'snapshot': snapshot.id, 'warm_start': None, } + assert provenance['training_table'] == { + 'id': table.tt_id, + 'derived_from': None, + 'modified': None, + } assert provenance['seed'] is None assert provenance['fit']['seconds'] >= 0 assert [trial['trial'] for trial in provenance['trials']] == [0, 1] @@ -118,6 +122,8 @@ def test_fit_records_listed_provenance(two_trials): params = [trial['params'] for trial in provenance['trials']] assert params[0] and params[0].keys() == params[1].keys() assert all(params[0][key] != params[1][key] for key in params[0]) + assert not any(isinstance(value, list) and len(value) == 1 + for value in params[0].values()) assert provenance['environment']['kumo_engine'] == kumo.__version__ assert trainer.bundle_id == result.bundle_id @@ -164,31 +170,40 @@ def test_bundle_without_provenance_loads_and_predicts_identically( assert stray.bundle_id == result.bundle_id -def test_provenance_failure_warns_and_still_publishes(tmp_path, monkeypatch): - from kumo.engine.trainer import _provenance - +def _finish_stub_fit(tmp_path, trainer): bundle = tmp_path / 'bundle' (bundle / 'model').mkdir(parents=True) - (bundle / 'model' / 'config.json').write_text('{"root_dir": "automl"}') + (bundle / 'model' / 'config.json').write_text('{}') (bundle / MANIFEST_FILE).write_text(json.dumps({'artifacts': []})) add_bundle_file(bundle, 'trainer_config', 'model/config.json') + table = type('Table', (), {'tt_id': 'tt-1', 'manifest': None})() + return trainer._finish_fit( + TrainingResult({}, {}, bundle), predictive_query='PREDICT x', + snapshot_id='snap', export_config=None, + training_table_generation=TrainingTableGenerationPlan(), + provenance=dict(train_table=table, snapshot_id='snap', + warm_start_bundle_id=None, + started_at=datetime.now(timezone.utc), + home_dir=tmp_path)) + + +def test_provenance_without_trial_logs_still_records_parents(tmp_path): + result = _finish_stub_fit(tmp_path, kumo.Trainer(ModelPlan())) + assert result.provenance['trials'] == [] + assert result.provenance['parents']['training_table'] == 'tt-1' + + +def test_provenance_failure_warns_and_still_publishes(tmp_path, monkeypatch): + from kumo.engine.trainer import _provenance def fail(*args): raise RuntimeError('unreadable trials') monkeypatch.setattr(_provenance, '_trials', fail) - table = type('Table', (), {'tt_id': 'tt-1', 'manifest': None})() trainer = kumo.Trainer(ModelPlan()) with pytest.warns(UserWarning, match='unreadable trials'): - result = trainer._finish_fit( - TrainingResult({}, {}, bundle), predictive_query='PREDICT x', - snapshot_id='snap', export_config=None, - training_table_generation=TrainingTableGenerationPlan(), - provenance=dict(train_table=table, snapshot_id='snap', - warm_start_bundle_id=None, - started_at=datetime.now(timezone.utc), - home_dir=tmp_path)) - assert 'provenance' not in _roles(bundle) + result = _finish_stub_fit(tmp_path, trainer) + assert 'provenance' not in _roles(result.bundle_dir) assert result.provenance is None assert re.fullmatch('[0-9a-f]{64}', result.bundle_id) assert trainer._training_result is result From 51c767a93d046350b8d59897a3f2929b66c05951 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Tue, 20 Oct 2026 22:35:09 +0000 Subject: [PATCH 035/123] Read Trainer.bundle_id defensively Training results built without a bundle_id field (test doubles) made the property raise; return None for them. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/kumo/engine/trainer/trainer.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index b7e6e4e36..89a36d600 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -270,9 +270,7 @@ def scratch_dir(self) -> Path: @property def bundle_id(self) -> Optional[str]: """Content id of the fitted or loaded model bundle.""" - if self._training_result is None: - return None - return self._training_result.bundle_id + return getattr(self._training_result, 'bundle_id', None) def fit( self, From 80476100186b459e1b22c68858fa962f2f3237eb Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Tue, 20 Oct 2026 23:56:18 +0000 Subject: [PATCH 036/123] Record the published model's fit mode in provenance.json metrics.json holds test_* (the fit model) and test_refit_* (the refit_trainval model) and nothing says which, if any, belongs to the shipped checkpoint; a refit_full model has none of its own. Record published_model ('fit', 'refit_trainval' or 'refit_full') from the best trainer's refit flags, the order kumo-core publishes in; null when unknown. metrics.json is unchanged. Verified with a two-trial fit and each combination of refit flags. Co-Authored-By: Claude Opus 5.5 --- .../kumo/engine/trainer/_provenance.py | 2 ++ .../kumo/engine/trainer/trainer.py | 20 +++++++++++++++++-- .../test/test_bundle_provenance.py | 20 +++++++++++++++++-- 3 files changed, 38 insertions(+), 4 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/trainer/_provenance.py b/packages/kumo-engine/kumo/engine/trainer/_provenance.py index 6c6ae586e..222fc931c 100644 --- a/packages/kumo-engine/kumo/engine/trainer/_provenance.py +++ b/packages/kumo-engine/kumo/engine/trainer/_provenance.py @@ -38,6 +38,7 @@ def write_provenance( warm_start_bundle_id: Optional[str], started_at: datetime, home_dir: Path, + published_model: Optional[str], ) -> None: from kumo_core.artifacts import PROVENANCE_FILE, add_bundle_file @@ -69,6 +70,7 @@ def write_provenance( 'modified': table_manifest.get('modified'), }, selected_trial=config.get('version'), + published_model=published_model, trials=_trials(home_dir, config.get('root_dir')), )) add_bundle_file(bundle_dir, PROVENANCE_ROLE, PROVENANCE_FILE) diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index 89a36d600..a40ee7fbf 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -88,7 +88,11 @@ class TrainingResult: @property def provenance(self) -> Optional[Dict[str, Any]]: - """The bundle's recorded fit provenance; None for older bundles.""" + """The bundle's recorded fit provenance; None for older bundles. + + Its `published_model` is the shipped checkpoint's fit mode, unlike + the registry record in `TrainingResult.published_model`. + """ from kumo.engine.trainer._provenance import read_provenance return read_provenance(self.bundle_dir) @@ -200,6 +204,16 @@ def _published_holdout(trainer: Any) -> tuple[Optional[Path], Optional[bool]]: return _find_holdout(trainer.get_log_dir(fit_mode=published)) +def _published_fit_mode(trainer: Any) -> Optional[str]: + refit = getattr(trainer, 'refit_cfg', None) + for mode, flag in (('refit_full', 'refitted_full'), + ('refit_trainval', 'refitted_trainval'), + ('fit', 'fitted')): + if getattr(refit, flag, False) is True: + return mode + return None + + def _collect_garbage(stage: str) -> None: # Lightning links each trainer to its data module and model in reference # cycles; free a finished run now rather than at a later collection. @@ -479,6 +493,7 @@ def fit( holdout_path, holdout_truncated = _published_holdout( result.best_trainer) + published_model = _published_fit_mode(result.best_trainer) training_result = TrainingResult( metrics=dict(result.metrics), artifact_paths=dict(result.artifact_paths), @@ -498,7 +513,8 @@ def fit( provenance=dict(train_table=train_table, snapshot_id=snapshot.id, warm_start_bundle_id=warm_start_bundle_id, - started_at=started_at, home_dir=run_dir), + started_at=started_at, home_dir=run_dir, + published_model=published_model), ) def _finish_fit( diff --git a/packages/kumo-engine/test/test_bundle_provenance.py b/packages/kumo-engine/test/test_bundle_provenance.py index ba3e383de..9c4363303 100644 --- a/packages/kumo-engine/test/test_bundle_provenance.py +++ b/packages/kumo-engine/test/test_bundle_provenance.py @@ -6,6 +6,7 @@ import re import shutil from datetime import datetime, timezone +from types import SimpleNamespace import numpy as np import pandas as pd @@ -18,7 +19,7 @@ import kumo.engine as kumo from kumo.engine._scratch import get_scratch_dir from kumo.engine.trainer._spec import MANIFEST_FILE -from kumo.engine.trainer.trainer import TrainingResult +from kumo.engine.trainer.trainer import TrainingResult, _published_fit_mode @pytest.fixture(scope='module') @@ -115,6 +116,7 @@ def test_fit_records_listed_provenance(two_trials): assert [trial['trial'] for trial in provenance['trials']] == [0, 1] assert {trial['status'] for trial in provenance['trials']} == {'succeeded'} assert provenance['selected_trial'] in (0, 1) + assert provenance['published_model'] == 'refit_trainval' for trial in provenance['trials']: assert trial['best_epoch'] == 1 assert trial['seconds'] > 0 @@ -184,13 +186,27 @@ def _finish_stub_fit(tmp_path, trainer): provenance=dict(train_table=table, snapshot_id='snap', warm_start_bundle_id=None, started_at=datetime.now(timezone.utc), - home_dir=tmp_path)) + home_dir=tmp_path, published_model=None)) def test_provenance_without_trial_logs_still_records_parents(tmp_path): result = _finish_stub_fit(tmp_path, kumo.Trainer(ModelPlan())) assert result.provenance['trials'] == [] assert result.provenance['parents']['training_table'] == 'tt-1' + assert result.provenance['published_model'] is None + + +@pytest.mark.parametrize('flags,mode', [ + ({}, None), + ({'fitted': True}, 'fit'), + ({'fitted': True, 'refitted_trainval': True}, 'refit_trainval'), + ({'fitted': True, 'refitted_full': True}, 'refit_full'), + ({'fitted': True, 'refitted_trainval': True, 'refitted_full': True}, + 'refit_full'), +]) +def test_published_fit_mode_follows_refit_flags(flags, mode): + trainer = SimpleNamespace(refit_cfg=SimpleNamespace(**flags)) + assert _published_fit_mode(trainer) == mode def test_provenance_failure_warns_and_still_publishes(tmp_path, monkeypatch): From f03673d144e710b68b0f7295a15ab014f411a7d8 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 06:58:17 +0000 Subject: [PATCH 037/123] Mirror the training table's source in bundle provenance #55 no longer records derived_from or modified for a reloaded table, so provenance.json's training_table block stopped having anything to copy. The block now records the table id, whether it was generated (pql) or loaded (custom), the snapshot it was generated on or validated against, and, for custom tables, the location and data version they were loaded from. The bundle stays self-contained without the scratch staging directory; query and plans stay only in training-spec.json. Verified with test_bundle_provenance.py (pql fit, custom-table stub, manifest-less stub) and test_trainer_registry.py. Co-Authored-By: Claude Opus 5.5 --- .../kumo/engine/trainer/_provenance.py | 24 ++++++++++---- .../test/test_bundle_provenance.py | 32 ++++++++++++++++--- 2 files changed, 45 insertions(+), 11 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/trainer/_provenance.py b/packages/kumo-engine/kumo/engine/trainer/_provenance.py index 222fc931c..34bc53d9e 100644 --- a/packages/kumo-engine/kumo/engine/trainer/_provenance.py +++ b/packages/kumo-engine/kumo/engine/trainer/_provenance.py @@ -45,7 +45,6 @@ def write_provenance( config = _read_json(bundle_dir / 'model' / 'config.json') or {} finished_at = datetime.now(timezone.utc) tt_id = train_table.tt_id - table_manifest = train_table.manifest or {} parents = { 'training_table': tt_id, 'snapshot': snapshot_id, @@ -63,12 +62,7 @@ def write_provenance( 'seconds': round((finished_at - started_at).total_seconds(), 3), }, - training_table={ - 'id': tt_id, - 'derived_from': - (table_manifest.get('parents') or {}).get('derived_from'), - 'modified': table_manifest.get('modified'), - }, + training_table=_training_table(tt_id, train_table.manifest), selected_trial=config.get('version'), published_model=published_model, trials=_trials(home_dir, config.get('root_dir')), @@ -76,6 +70,22 @@ def write_provenance( add_bundle_file(bundle_dir, PROVENANCE_ROLE, PROVENANCE_FILE) +def _training_table(tt_id: str, + manifest: Optional[Dict[str, Any]]) -> Dict[str, Any]: + manifest = manifest or {} + parents = manifest.get('parents') or {} + record = { + 'id': tt_id, + 'source': manifest.get('source'), + 'snapshot': parents.get('snapshot'), + } + if record['source'] == 'custom': + source_table = parents.get('source_table') or {} + record.update(location=source_table.get('location'), + version=source_table.get('version')) + return record + + def read_provenance(bundle_dir: Path) -> Optional[Dict[str, Any]]: manifest = _read_json(bundle_dir / MANIFEST_FILE) or {} for entry in manifest.get('artifacts') or []: diff --git a/packages/kumo-engine/test/test_bundle_provenance.py b/packages/kumo-engine/test/test_bundle_provenance.py index 9c4363303..b90810eed 100644 --- a/packages/kumo-engine/test/test_bundle_provenance.py +++ b/packages/kumo-engine/test/test_bundle_provenance.py @@ -108,8 +108,8 @@ def test_fit_records_listed_provenance(two_trials): } assert provenance['training_table'] == { 'id': table.tt_id, - 'derived_from': None, - 'modified': None, + 'source': 'pql', + 'snapshot': snapshot.id, } assert provenance['seed'] is None assert provenance['fit']['seconds'] >= 0 @@ -172,13 +172,13 @@ def test_bundle_without_provenance_loads_and_predicts_identically( assert stray.bundle_id == result.bundle_id -def _finish_stub_fit(tmp_path, trainer): +def _finish_stub_fit(tmp_path, trainer, manifest=None): bundle = tmp_path / 'bundle' (bundle / 'model').mkdir(parents=True) (bundle / 'model' / 'config.json').write_text('{}') (bundle / MANIFEST_FILE).write_text(json.dumps({'artifacts': []})) add_bundle_file(bundle, 'trainer_config', 'model/config.json') - table = type('Table', (), {'tt_id': 'tt-1', 'manifest': None})() + table = type('Table', (), {'tt_id': 'tt-1', 'manifest': manifest})() return trainer._finish_fit( TrainingResult({}, {}, bundle), predictive_query='PREDICT x', snapshot_id='snap', export_config=None, @@ -193,9 +193,33 @@ def test_provenance_without_trial_logs_still_records_parents(tmp_path): result = _finish_stub_fit(tmp_path, kumo.Trainer(ModelPlan())) assert result.provenance['trials'] == [] assert result.provenance['parents']['training_table'] == 'tt-1' + assert result.provenance['training_table'] == { + 'id': 'tt-1', + 'source': None, + 'snapshot': None + } assert result.provenance['published_model'] is None +def test_provenance_records_custom_table_source(tmp_path): + source_table = {'location': 's3://bucket/exports/tt', 'version': '17'} + manifest = { + 'source': 'custom', + 'query': 'PREDICT x', + 'parents': { + 'snapshot': 'snap', + 'source_table': source_table + }, + } + result = _finish_stub_fit(tmp_path, kumo.Trainer(ModelPlan()), manifest) + assert result.provenance['training_table'] == { + 'id': 'tt-1', + 'source': 'custom', + 'snapshot': 'snap', + **source_table, + } + + @pytest.mark.parametrize('flags,mode', [ ({}, None), ({'fitted': True}, 'fit'), From 5f3dbefce0674e5c72168cd5a0f2a83c8b0bd44a Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 07:47:45 +0000 Subject: [PATCH 038/123] Trim provenance.json to facts no other bundle file holds seed copied model/config.json, bundle_format_version restated training-spec.json's spec version, and trials scraped AutoML-internal status, metric and plan files that experiment tracking already records. All three are dropped; selected_trial stays, read from the bundle's own model/config.json, and write_provenance no longer needs the run's home directory. The training_table block of a custom table now copies connector, location and version from the table manifest's parents.source_table, the same keys the snapshot manifest uses for its sources. Verified with test_bundle_provenance.py and test_trainer_registry.py. Co-Authored-By: Claude Opus 5.5 --- .../kumo/engine/trainer/_provenance.py | 98 ++----------------- .../kumo/engine/trainer/trainer.py | 2 +- .../test/test_bundle_provenance.py | 31 +++--- 3 files changed, 19 insertions(+), 112 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/trainer/_provenance.py b/packages/kumo-engine/kumo/engine/trainer/_provenance.py index 34bc53d9e..4fbce3479 100644 --- a/packages/kumo-engine/kumo/engine/trainer/_provenance.py +++ b/packages/kumo-engine/kumo/engine/trainer/_provenance.py @@ -8,26 +8,14 @@ which model a bundle is. """ -import csv import json -import math -import re from datetime import datetime, timezone from pathlib import Path -from typing import Any, Dict, List, Optional +from typing import Any, Dict, Optional -from kumo.engine._manifest import ( - _flatten, - new_manifest, - read_manifest, - write_manifest, -) +from kumo.engine._manifest import new_manifest, read_manifest, write_manifest from kumo.engine.pquery.training_table import TrainingTable -from kumo.engine.trainer._spec import ( - MANIFEST_FILE, - PROVENANCE_ROLE, - SPEC_VERSION, -) +from kumo.engine.trainer._spec import MANIFEST_FILE, PROVENANCE_ROLE def write_provenance( @@ -37,7 +25,6 @@ def write_provenance( snapshot_id: str, warm_start_bundle_id: Optional[str], started_at: datetime, - home_dir: Path, published_model: Optional[str], ) -> None: from kumo_core.artifacts import PROVENANCE_FILE, add_bundle_file @@ -54,8 +41,6 @@ def write_provenance( bundle_dir / PROVENANCE_FILE, new_manifest( 'model_bundle', None, parents, - bundle_format_version=SPEC_VERSION, - seed=config.get('random_state_seed'), fit={ 'started_at': started_at.isoformat(timespec='seconds'), 'finished_at': finished_at.isoformat(timespec='seconds'), @@ -65,7 +50,6 @@ def write_provenance( training_table=_training_table(tt_id, train_table.manifest), selected_trial=config.get('version'), published_model=published_model, - trials=_trials(home_dir, config.get('root_dir')), )) add_bundle_file(bundle_dir, PROVENANCE_ROLE, PROVENANCE_FILE) @@ -81,8 +65,10 @@ def _training_table(tt_id: str, } if record['source'] == 'custom': source_table = parents.get('source_table') or {} - record.update(location=source_table.get('location'), - version=source_table.get('version')) + record.update({ + key: source_table.get(key) + for key in ('connector', 'location', 'version') + }) return record @@ -94,76 +80,6 @@ def read_provenance(bundle_dir: Path) -> Optional[Dict[str, Any]]: return None -def _trials(home_dir: Path, - root_dir: Optional[str]) -> List[Dict[str, Any]]: - automl_dir = Path(root_dir) if root_dir else None - if automl_dir is None or not automl_dir.is_dir(): - return [] - status = { - entry['trial']: entry - for entry in (_read_json(home_dir / 'status.json') or {}).get( - 'trials') or [] - } - versions = { - int(match.group(1)) - for path in automl_dir.iterdir() - if (match := re.fullmatch(r'version_(\d+)', path.name)) - } - trials, plans = [], {} - for trial in sorted(status.keys() | versions): - log_dir = automl_dir / f'version_{trial}' - config = _read_json(log_dir / 'config.json') or {} - progress = _read_json(log_dir / 'train_progress.json') or {} - best_epoch = (config.get('refit_cfg') or {}).get('best_val_epoch', -1) - succeeded = status.get(trial, {}).get('succeed') - trials.append({ - 'trial': trial, - 'status': (None if succeeded is None else - 'succeeded' if succeeded else 'failed'), - 'seconds': progress.get('elapsed_time'), - 'best_epoch': best_epoch if best_epoch >= 0 else None, - 'metrics': _val_metrics(log_dir / 'val_result.csv'), - }) - plans[trial] = { - key: json.dumps(value, sort_keys=True) - for key, value in _flatten( - _read_json(log_dir / 'model_plan.json') or {}).items() - } - varying = sorted( - key for key in {key - for plan in plans.values() for key in plan} - if len({plan.get(key) - for plan in plans.values()}) > 1) - for entry in trials: - plan = plans[entry['trial']] - entry['params'] = { - key: _unwrap(json.loads(plan[key])) if key in plan else None - for key in varying - } - return trials - - -def _unwrap(value: Any) -> Any: - return value[0] if isinstance(value, list) and len(value) == 1 else value - - -def _val_metrics(path: Path) -> Dict[str, float]: - try: - with open(path, newline='', encoding='utf-8') as handle: - row = next(csv.DictReader(handle), None) or {} - except OSError: - return {} - metrics = {} - for key, value in row.items(): - try: - number = float(value) - except (TypeError, ValueError): - continue - if key.startswith('val_') and math.isfinite(number): - metrics[key] = number - return metrics - - def _read_json(path: Path) -> Optional[Dict[str, Any]]: try: data = json.loads(path.read_text(encoding='utf-8')) diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index a40ee7fbf..4a27f3801 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -513,7 +513,7 @@ def fit( provenance=dict(train_table=train_table, snapshot_id=snapshot.id, warm_start_bundle_id=warm_start_bundle_id, - started_at=started_at, home_dir=run_dir, + started_at=started_at, published_model=published_model), ) diff --git a/packages/kumo-engine/test/test_bundle_provenance.py b/packages/kumo-engine/test/test_bundle_provenance.py index b90810eed..999dc552e 100644 --- a/packages/kumo-engine/test/test_bundle_provenance.py +++ b/packages/kumo-engine/test/test_bundle_provenance.py @@ -100,7 +100,6 @@ def test_fit_records_listed_provenance(two_trials): 'provenance.json') provenance = result.provenance assert provenance['kind'] == 'model_bundle' - assert provenance['bundle_format_version'] == 1 assert provenance['parents'] == { 'training_table': table.tt_id, 'snapshot': snapshot.id, @@ -111,21 +110,10 @@ def test_fit_records_listed_provenance(two_trials): 'source': 'pql', 'snapshot': snapshot.id, } - assert provenance['seed'] is None + assert not {'seed', 'bundle_format_version', 'trials'} & provenance.keys() assert provenance['fit']['seconds'] >= 0 - assert [trial['trial'] for trial in provenance['trials']] == [0, 1] - assert {trial['status'] for trial in provenance['trials']} == {'succeeded'} assert provenance['selected_trial'] in (0, 1) assert provenance['published_model'] == 'refit_trainval' - for trial in provenance['trials']: - assert trial['best_epoch'] == 1 - assert trial['seconds'] > 0 - assert 'val_auroc' in trial['metrics'] - params = [trial['params'] for trial in provenance['trials']] - assert params[0] and params[0].keys() == params[1].keys() - assert all(params[0][key] != params[1][key] for key in params[0]) - assert not any(isinstance(value, list) and len(value) == 1 - for value in params[0].values()) assert provenance['environment']['kumo_engine'] == kumo.__version__ assert trainer.bundle_id == result.bundle_id @@ -186,12 +174,11 @@ def _finish_stub_fit(tmp_path, trainer, manifest=None): provenance=dict(train_table=table, snapshot_id='snap', warm_start_bundle_id=None, started_at=datetime.now(timezone.utc), - home_dir=tmp_path, published_model=None)) + published_model=None)) -def test_provenance_without_trial_logs_still_records_parents(tmp_path): +def test_provenance_without_a_table_manifest(tmp_path): result = _finish_stub_fit(tmp_path, kumo.Trainer(ModelPlan())) - assert result.provenance['trials'] == [] assert result.provenance['parents']['training_table'] == 'tt-1' assert result.provenance['training_table'] == { 'id': 'tt-1', @@ -202,7 +189,11 @@ def test_provenance_without_trial_logs_still_records_parents(tmp_path): def test_provenance_records_custom_table_source(tmp_path): - source_table = {'location': 's3://bucket/exports/tt', 'version': '17'} + source_table = { + 'connector': 'S3', + 'location': 's3://bucket/exports/tt', + 'version': '17' + } manifest = { 'source': 'custom', 'query': 'PREDICT x', @@ -237,11 +228,11 @@ def test_provenance_failure_warns_and_still_publishes(tmp_path, monkeypatch): from kumo.engine.trainer import _provenance def fail(*args): - raise RuntimeError('unreadable trials') + raise RuntimeError('unreadable manifest') - monkeypatch.setattr(_provenance, '_trials', fail) + monkeypatch.setattr(_provenance, '_training_table', fail) trainer = kumo.Trainer(ModelPlan()) - with pytest.warns(UserWarning, match='unreadable trials'): + with pytest.warns(UserWarning, match='unreadable manifest'): result = _finish_stub_fit(tmp_path, trainer) assert 'provenance' not in _roles(result.bundle_dir) assert result.provenance is None From 777bdb4ba1227a7bc703e7293f50af8061883587 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 08:14:48 +0000 Subject: [PATCH 039/123] Record fit_mode and source versions in provenance; expose it on Trainer published_model in provenance.json held the shipped checkpoint's fit mode while TrainingResult.published_model is the registry record; it is now fit_mode. selected_trial indexed AutoML log directories that the bundle does not ship, numbered differently from fit events, and had no reader; it is dropped, as is training_table.id, which repeated parents.training_table. The fit snapshot's parents.source_tables (connector, location, version per table) is copied into provenance.json, so a bundle still says which source versions it was trained on after the scratch index is gone. Trainer.provenance returns the record for a fitted or loaded trainer. Verified with test_bundle_provenance.py, test_trainer_registry.py and test_warm_start.py. Co-Authored-By: Claude Opus 5.5 --- .../kumo/engine/trainer/_provenance.py | 30 ++++++++++--------- .../kumo/engine/trainer/trainer.py | 18 ++++++----- .../test/test_bundle_provenance.py | 25 ++++++++-------- 3 files changed, 38 insertions(+), 35 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/trainer/_provenance.py b/packages/kumo-engine/kumo/engine/trainer/_provenance.py index 4fbce3479..745b3826c 100644 --- a/packages/kumo-engine/kumo/engine/trainer/_provenance.py +++ b/packages/kumo-engine/kumo/engine/trainer/_provenance.py @@ -1,12 +1,7 @@ # SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. # All rights reserved. # SPDX-License-Identifier: Apache-2.0 -r"""Descriptive fit record stored as ``provenance.json`` in a model bundle. - -It is integrity-covered by the publication manifest but excluded from the -bundle id, so its volatile fields (times, environment, scheduler) never change -which model a bundle is. -""" +"""Fit record in ``provenance.json``; excluded from the bundle id.""" import json from datetime import datetime, timezone @@ -14,6 +9,7 @@ from typing import Any, Dict, Optional from kumo.engine._manifest import new_manifest, read_manifest, write_manifest +from kumo.engine.graph import GraphSnapshot from kumo.engine.pquery.training_table import TrainingTable from kumo.engine.trainer._spec import MANIFEST_FILE, PROVENANCE_ROLE @@ -25,11 +21,11 @@ def write_provenance( snapshot_id: str, warm_start_bundle_id: Optional[str], started_at: datetime, - published_model: Optional[str], + fit_mode: Optional[str], + snapshot: Optional[GraphSnapshot] = None, ) -> None: from kumo_core.artifacts import PROVENANCE_FILE, add_bundle_file - config = _read_json(bundle_dir / 'model' / 'config.json') or {} finished_at = datetime.now(timezone.utc) tt_id = train_table.tt_id parents = { @@ -47,19 +43,25 @@ def write_provenance( 'seconds': round((finished_at - started_at).total_seconds(), 3), }, - training_table=_training_table(tt_id, train_table.manifest), - selected_trial=config.get('version'), - published_model=published_model, + training_table=_training_table(train_table.manifest), + source_tables=_source_tables(snapshot), + fit_mode=fit_mode, )) add_bundle_file(bundle_dir, PROVENANCE_ROLE, PROVENANCE_FILE) -def _training_table(tt_id: str, - manifest: Optional[Dict[str, Any]]) -> Dict[str, Any]: +def _source_tables( + snapshot: Optional[GraphSnapshot]) -> Optional[Dict[str, Any]]: + manifest = None if snapshot is None else snapshot.manifest + if not manifest or manifest.get('reconstructed'): + return None + return (manifest.get('parents') or {}).get('source_tables') + + +def _training_table(manifest: Optional[Dict[str, Any]]) -> Dict[str, Any]: manifest = manifest or {} parents = manifest.get('parents') or {} record = { - 'id': tt_id, 'source': manifest.get('source'), 'snapshot': parents.get('snapshot'), } diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index 4a27f3801..c9a28d620 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -88,11 +88,7 @@ class TrainingResult: @property def provenance(self) -> Optional[Dict[str, Any]]: - """The bundle's recorded fit provenance; None for older bundles. - - Its `published_model` is the shipped checkpoint's fit mode, unlike - the registry record in `TrainingResult.published_model`. - """ + """The bundle's recorded fit provenance; None for older bundles.""" from kumo.engine.trainer._provenance import read_provenance return read_provenance(self.bundle_dir) @@ -286,6 +282,12 @@ def bundle_id(self) -> Optional[str]: """Content id of the fitted or loaded model bundle.""" return getattr(self._training_result, 'bundle_id', None) + @property + def provenance(self) -> Optional[Dict[str, Any]]: + """Fit provenance of the fitted or loaded bundle, if recorded.""" + result = self._training_result + return None if result is None else result.provenance + def fit( self, train_table: TrainingTable, @@ -493,7 +495,7 @@ def fit( holdout_path, holdout_truncated = _published_holdout( result.best_trainer) - published_model = _published_fit_mode(result.best_trainer) + fit_mode = _published_fit_mode(result.best_trainer) training_result = TrainingResult( metrics=dict(result.metrics), artifact_paths=dict(result.artifact_paths), @@ -513,8 +515,8 @@ def fit( provenance=dict(train_table=train_table, snapshot_id=snapshot.id, warm_start_bundle_id=warm_start_bundle_id, - started_at=started_at, - published_model=published_model), + started_at=started_at, fit_mode=fit_mode, + snapshot=snapshot), ) def _finish_fit( diff --git a/packages/kumo-engine/test/test_bundle_provenance.py b/packages/kumo-engine/test/test_bundle_provenance.py index 999dc552e..9b4725c6e 100644 --- a/packages/kumo-engine/test/test_bundle_provenance.py +++ b/packages/kumo-engine/test/test_bundle_provenance.py @@ -106,14 +106,13 @@ def test_fit_records_listed_provenance(two_trials): 'warm_start': None, } assert provenance['training_table'] == { - 'id': table.tt_id, 'source': 'pql', - 'snapshot': snapshot.id, + 'snapshot': snapshot.id } - assert not {'seed', 'bundle_format_version', 'trials'} & provenance.keys() + assert provenance['source_tables'] == ( + snapshot.manifest['parents']['source_tables']) assert provenance['fit']['seconds'] >= 0 - assert provenance['selected_trial'] in (0, 1) - assert provenance['published_model'] == 'refit_trainval' + assert provenance['fit_mode'] == 'refit_trainval' assert provenance['environment']['kumo_engine'] == kumo.__version__ assert trainer.bundle_id == result.bundle_id @@ -121,7 +120,9 @@ def test_fit_records_listed_provenance(two_trials): def test_bundle_id_is_content_identity(two_trials, tmp_path): trainer, result, *_ = two_trials assert re.fullmatch('[0-9a-f]{64}', result.bundle_id) - assert kumo.Trainer.load(result.bundle_dir).bundle_id == result.bundle_id + loaded = kumo.Trainer.load(result.bundle_dir) + assert loaded.bundle_id == result.bundle_id + assert loaded.provenance == result.provenance copy = tmp_path / 'copy' shutil.copytree(result.bundle_dir, copy) assert kumo.Trainer.load(copy).bundle_id == result.bundle_id @@ -132,7 +133,7 @@ def test_bundle_id_is_content_identity(two_trials, tmp_path): add_bundle_file(copy, 'provenance', 'provenance.json') reloaded = kumo.Trainer.load(copy) assert reloaded.bundle_id == result.bundle_id - assert reloaded._training_result.provenance['fit']['seconds'] == -1 + assert reloaded.provenance['fit']['seconds'] == -1 config = copy / 'model' / 'config.json' config.write_text(config.read_text() + ' ') @@ -149,14 +150,14 @@ def test_bundle_without_provenance_loads_and_predicts_identically( restored = kumo.Trainer.load(old) assert restored.bundle_id == result.bundle_id - assert restored._training_result.provenance is None + assert restored.provenance is None pd.testing.assert_frame_equal(_predict(restored, prediction_table, snapshot), _predict(trainer, prediction_table, snapshot)) (old / 'provenance.json').write_text(json.dumps(result.provenance)) stray = kumo.Trainer.load(old) - assert stray._training_result.provenance is None + assert stray.provenance is None assert stray.bundle_id == result.bundle_id @@ -174,18 +175,17 @@ def _finish_stub_fit(tmp_path, trainer, manifest=None): provenance=dict(train_table=table, snapshot_id='snap', warm_start_bundle_id=None, started_at=datetime.now(timezone.utc), - published_model=None)) + fit_mode=None)) def test_provenance_without_a_table_manifest(tmp_path): result = _finish_stub_fit(tmp_path, kumo.Trainer(ModelPlan())) assert result.provenance['parents']['training_table'] == 'tt-1' assert result.provenance['training_table'] == { - 'id': 'tt-1', 'source': None, 'snapshot': None } - assert result.provenance['published_model'] is None + assert result.provenance['source_tables'] is None def test_provenance_records_custom_table_source(tmp_path): @@ -204,7 +204,6 @@ def test_provenance_records_custom_table_source(tmp_path): } result = _finish_stub_fit(tmp_path, kumo.Trainer(ModelPlan()), manifest) assert result.provenance['training_table'] == { - 'id': 'tt-1', 'source': 'custom', 'snapshot': 'snap', **source_table, From 6eab1d6f2bc90c7fde57afd120b66424900d1bdd Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 09:35:07 +0000 Subject: [PATCH 040/123] Trim bundle provenance to essentials The provenance tests fitted their own copy of the shared fitted-model fixture, restated manifest fields, tested the private fit-mode helper case by case and spread one back-compat scenario over three tests. Reuse the conftest fitted fixture, merge the load/back-compat tests, fold the missing-manifest case into the custom-source stub test, reduce the kumo-core bundle-id test to the provenance-exclusion contract, drop the fit-mode helper test, find a listed bundle file through one listed_file helper, and shorten docstrings. Behaviour is unchanged. Verified: test_bundle_provenance, test_trainer_registry and kumo-core test_artifacts pass. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-core/src/kumo_core/artifacts.py | 9 +- packages/kumo-core/tests/test_artifacts.py | 36 +--- .../kumo/engine/trainer/_provenance.py | 21 +- .../kumo-engine/kumo/engine/trainer/_spec.py | 13 +- .../kumo/engine/trainer/trainer.py | 3 - .../test/test_bundle_provenance.py | 195 ++++-------------- 6 files changed, 69 insertions(+), 208 deletions(-) diff --git a/packages/kumo-core/src/kumo_core/artifacts.py b/packages/kumo-core/src/kumo_core/artifacts.py index e9afa1a06..89658aa65 100644 --- a/packages/kumo-core/src/kumo_core/artifacts.py +++ b/packages/kumo-core/src/kumo_core/artifacts.py @@ -250,11 +250,10 @@ def _sha256(path: Path) -> str: def verify_model_bundle(bundle: Path) -> str: """Verify fetched artifacts before parsing or staging a model bundle. - Returns the bundle id: the SHA-256 of the sorted ``[relative_path, - sha256]`` pairs of every verified file except ``provenance.json``. Paths - must stay inside the bundle after symlink resolution; declared sizes and - SHA-256 digests must match. Older manifests may omit sizes or leave - training-spec.json unlisted; its digest still participates in the id. + Returns the bundle id, a SHA-256 over every verified file except + ``provenance.json``. Paths must stay inside the bundle after symlink + resolution; declared sizes and SHA-256 digests must match. Older + manifests may omit sizes or leave training-spec.json unlisted. """ from .sources import layout from .sources.errors import PermanentSourceError diff --git a/packages/kumo-core/tests/test_artifacts.py b/packages/kumo-core/tests/test_artifacts.py index e29622b96..9061d7ee7 100644 --- a/packages/kumo-core/tests/test_artifacts.py +++ b/packages/kumo-core/tests/test_artifacts.py @@ -241,41 +241,23 @@ def best_ckpt(self): assert json.loads(sources.metrics.read_text()) == {"test_accuracy": 0.8} -def test_bundle_id_covers_listed_files_except_provenance( - tmp_path: Path) -> None: + +def test_bundle_id_ignores_provenance_only(tmp_path: Path) -> None: sources, _ = _vital_sources(tmp_path) bundle = tmp_path / "bundle" VitalArtifactPublicationPolicy().publish(sources, bundle) - (bundle / "training-spec.json").write_text("{}") - entries = json.loads( - (bundle / "publication-manifest.json").read_text())["artifacts"] - pairs = sorted([entry["relative_path"], entry["sha256"]] - for entry in entries) - pairs = sorted(pairs + [[ - "training-spec.json", - hashlib.sha256(b"{}").hexdigest(), - ]]) - expected = hashlib.sha256( - json.dumps(pairs, separators=(",", ":")).encode()).hexdigest() - - assert verify_model_bundle(bundle) == expected - add_bundle_file(bundle, "training_spec", "training-spec.json") - assert verify_model_bundle(bundle) == expected - - (bundle / "provenance.json").write_text('{"a": 1}') - add_bundle_file(bundle, "provenance", "provenance.json") - assert verify_model_bundle(bundle) == expected - (bundle / "provenance.json").write_text('{"a": 2}') - with pytest.raises(ValueError, match="provenance.json"): - verify_model_bundle(bundle) - add_bundle_file(bundle, "provenance", "provenance.json") - assert verify_model_bundle(bundle) == expected + bundle_id = verify_model_bundle(bundle) + for payload in ('{"a": 1}', '{"a": 2}'): + (bundle / "provenance.json").write_text(payload) + add_bundle_file(bundle, "provenance", "provenance.json") + assert verify_model_bundle(bundle) == bundle_id roles = [ entry["role"] for entry in json.loads( (bundle / "publication-manifest.json").read_text())["artifacts"] ] assert roles.count("provenance") == 1 + (bundle / "metrics.json").write_text('{"auc": 0}') add_bundle_file(bundle, "metrics", "metrics.json") - assert verify_model_bundle(bundle) != expected + assert verify_model_bundle(bundle) != bundle_id diff --git a/packages/kumo-engine/kumo/engine/trainer/_provenance.py b/packages/kumo-engine/kumo/engine/trainer/_provenance.py index 745b3826c..231ee13f8 100644 --- a/packages/kumo-engine/kumo/engine/trainer/_provenance.py +++ b/packages/kumo-engine/kumo/engine/trainer/_provenance.py @@ -3,7 +3,6 @@ # SPDX-License-Identifier: Apache-2.0 """Fit record in ``provenance.json``; excluded from the bundle id.""" -import json from datetime import datetime, timezone from pathlib import Path from typing import Any, Dict, Optional @@ -11,7 +10,7 @@ from kumo.engine._manifest import new_manifest, read_manifest, write_manifest from kumo.engine.graph import GraphSnapshot from kumo.engine.pquery.training_table import TrainingTable -from kumo.engine.trainer._spec import MANIFEST_FILE, PROVENANCE_ROLE +from kumo.engine.trainer._spec import PROVENANCE_ROLE, listed_file def write_provenance( @@ -27,9 +26,8 @@ def write_provenance( from kumo_core.artifacts import PROVENANCE_FILE, add_bundle_file finished_at = datetime.now(timezone.utc) - tt_id = train_table.tt_id parents = { - 'training_table': tt_id, + 'training_table': train_table.tt_id, 'snapshot': snapshot_id, 'warm_start': warm_start_bundle_id, } @@ -75,16 +73,5 @@ def _training_table(manifest: Optional[Dict[str, Any]]) -> Dict[str, Any]: def read_provenance(bundle_dir: Path) -> Optional[Dict[str, Any]]: - manifest = _read_json(bundle_dir / MANIFEST_FILE) or {} - for entry in manifest.get('artifacts') or []: - if entry.get('role') == PROVENANCE_ROLE: - return read_manifest(bundle_dir / entry['relative_path']) - return None - - -def _read_json(path: Path) -> Optional[Dict[str, Any]]: - try: - data = json.loads(path.read_text(encoding='utf-8')) - except (OSError, ValueError): - return None - return data if isinstance(data, dict) else None + path = listed_file(bundle_dir, PROVENANCE_ROLE) + return None if path is None else read_manifest(path) diff --git a/packages/kumo-engine/kumo/engine/trainer/_spec.py b/packages/kumo-engine/kumo/engine/trainer/_spec.py index 637714d45..2c755fab4 100644 --- a/packages/kumo-engine/kumo/engine/trainer/_spec.py +++ b/packages/kumo-engine/kumo/engine/trainer/_spec.py @@ -12,7 +12,7 @@ import json from dataclasses import asdict, dataclass from pathlib import Path -from typing import Any, Dict, Tuple +from typing import Any, Dict, Optional, Tuple from kumo_core.io.filesystem import atomic_write_bytes from kumoapi.model_plan import ModelPlan, TrainingTableGenerationPlan @@ -103,6 +103,17 @@ def read_training_spec(bundle_dir: Path) -> TrainingSpec: ) +def listed_file(bundle_dir: Path, role: str) -> Optional[Path]: + try: + manifest = json.loads( + (bundle_dir / MANIFEST_FILE).read_text(encoding='utf-8')) + entries = manifest.get('artifacts') or [] + except (OSError, ValueError, AttributeError): + return None + return next((bundle_dir / entry['relative_path'] + for entry in entries if entry.get('role') == role), None) + + def read_bundle_artifact_paths( bundle_dir: Path) -> Tuple[Dict[str, str], str]: r"""Rebuild the verified ``role -> path`` mapping and the bundle id.""" diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index c9a28d620..4e96f0a99 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -73,9 +73,6 @@ class TrainingResult: model bundle. The file is capped at 1 GiB in memory; `holdout_truncated` is true when rows were dropped to fit, and `None` when the size record could not be read. - - `bundle_id` is the content id of the model bundle's scoring files, - computed when the bundle is written or loaded. """ metrics: Dict[str, float] diff --git a/packages/kumo-engine/test/test_bundle_provenance.py b/packages/kumo-engine/test/test_bundle_provenance.py index 9b4725c6e..fff92cd3f 100644 --- a/packages/kumo-engine/test/test_bundle_provenance.py +++ b/packages/kumo-engine/test/test_bundle_provenance.py @@ -8,166 +8,70 @@ from datetime import datetime, timezone from types import SimpleNamespace -import numpy as np import pandas as pd import pytest from kumo_core.artifacts import add_bundle_file -from kumoapi.graph import Edge from kumoapi.model_plan import ModelPlan, TrainingTableGenerationPlan -from kumoapi.typing import Stype import kumo.engine as kumo -from kumo.engine._scratch import get_scratch_dir from kumo.engine.trainer._spec import MANIFEST_FILE -from kumo.engine.trainer.trainer import TrainingResult, _published_fit_mode - - -@pytest.fixture(scope='module') -def two_trials(tmp_path_factory): - root = tmp_path_factory.mktemp('provenance') - previous = get_scratch_dir() - kumo.configure(scratch_dir=root / 'scratch') - try: - rng = np.random.default_rng(0) - data = root / 'data' - data.mkdir() - pd.DataFrame({'ID': np.arange(50)}).to_parquet(data / 'ents.parquet') - pd.DataFrame({ - 'EID': - np.arange(3000), - 'ENT_ID': - rng.integers(0, 50, 3000), - 'TS': - pd.Timestamp('2024-01-01') + - pd.to_timedelta(rng.integers(0, 120, 3000), unit='D'), - }).to_parquet(data / 'events.parquet') - connector = kumo.FileConnector(root_dir=str(data)) - events = kumo.Table.from_source_table( - connector['events.parquet'], primary_key='EID', - time_column='TS').infer_metadata().with_column( - 'ENT_ID', stype=Stype.ID) - graph = kumo.Graph( - tables={ - 'ents': - kumo.Table.from_source_table(connector['ents.parquet'], - primary_key='ID').infer_metadata(), - 'events': - events, - }, - edges=[Edge(src_table='events', fkey='ENT_ID', dst_table='ents')]) - snapshot = graph.snapshot() - pquery = kumo.PredictiveQuery( - graph=graph, query='PREDICT COUNT(events.*, 0, 7, days) > 0 ' - 'FOR EACH ents.ID') - plan = ModelPlan() - plan.training_job.disable_explain = True - plan.training_job.num_experiments = 2 - plan.optimization.max_epochs = 1 - plan.optimization.max_steps_per_epoch = 2 - table = pquery.generate_training_table(snapshot) - trainer = kumo.Trainer(model_plan=plan) - result = trainer.fit(table, snapshot=snapshot) - yield (trainer, result, table, snapshot, - pquery.generate_prediction_table(snapshot)) - finally: - kumo.configure(scratch_dir=previous) - - -def _predict(trainer, table, snapshot): - result = trainer.predict(table, snapshot=snapshot, - binary_classification_threshold=.5) - return result.frame.sort_values('ENTITY').reset_index(drop=True) - - -def _roles(bundle): - manifest = json.loads((bundle / MANIFEST_FILE).read_text()) - return {entry['role']: entry for entry in manifest['artifacts']} - - -def _strip_provenance(bundle): - manifest = json.loads((bundle / MANIFEST_FILE).read_text()) - manifest['artifacts'] = [ - entry for entry in manifest['artifacts'] - if entry['role'] != 'provenance' - ] - (bundle / MANIFEST_FILE).write_text(json.dumps(manifest)) - (bundle / 'provenance.json').unlink() +from kumo.engine.trainer.trainer import TrainingResult -def test_fit_records_listed_provenance(two_trials): - trainer, result, table, snapshot, _ = two_trials - assert _roles(result.bundle_dir)['provenance']['relative_path'] == ( - 'provenance.json') +def test_fit_records_provenance(fitted): + trainer, _, snapshot = fitted + result = trainer._training_result provenance = result.provenance - assert provenance['kind'] == 'model_bundle' - assert provenance['parents'] == { - 'training_table': table.tt_id, - 'snapshot': snapshot.id, - 'warm_start': None, - } + parents = provenance['parents'] + assert (parents['snapshot'], parents['warm_start']) == (snapshot.id, None) + assert parents['training_table'] assert provenance['training_table'] == { 'source': 'pql', 'snapshot': snapshot.id } assert provenance['source_tables'] == ( snapshot.manifest['parents']['source_tables']) - assert provenance['fit']['seconds'] >= 0 assert provenance['fit_mode'] == 'refit_trainval' - assert provenance['environment']['kumo_engine'] == kumo.__version__ + assert re.fullmatch('[0-9a-f]{64}', trainer.bundle_id) assert trainer.bundle_id == result.bundle_id -def test_bundle_id_is_content_identity(two_trials, tmp_path): - trainer, result, *_ = two_trials - assert re.fullmatch('[0-9a-f]{64}', result.bundle_id) +def test_bundle_without_provenance_loads_and_predicts_identically( + fitted, tmp_path): + trainer, prediction_table, snapshot = fitted + result = trainer._training_result loaded = kumo.Trainer.load(result.bundle_dir) - assert loaded.bundle_id == result.bundle_id - assert loaded.provenance == result.provenance - copy = tmp_path / 'copy' - shutil.copytree(result.bundle_dir, copy) - assert kumo.Trainer.load(copy).bundle_id == result.bundle_id - - provenance = json.loads((copy / 'provenance.json').read_text()) - provenance['fit']['seconds'] = -1 - (copy / 'provenance.json').write_text(json.dumps(provenance)) - add_bundle_file(copy, 'provenance', 'provenance.json') - reloaded = kumo.Trainer.load(copy) - assert reloaded.bundle_id == result.bundle_id - assert reloaded.provenance['fit']['seconds'] == -1 - - config = copy / 'model' / 'config.json' - config.write_text(config.read_text() + ' ') - add_bundle_file(copy, 'trainer_config', 'model/config.json') - assert kumo.Trainer.load(copy).bundle_id != result.bundle_id + assert (loaded.bundle_id, loaded.provenance) == (result.bundle_id, + result.provenance) - -def test_bundle_without_provenance_loads_and_predicts_identically( - two_trials, tmp_path): - trainer, result, _, snapshot, prediction_table = two_trials old = tmp_path / 'old' shutil.copytree(result.bundle_dir, old) - _strip_provenance(old) - + manifest = json.loads((old / MANIFEST_FILE).read_text()) + manifest['artifacts'] = [ + entry for entry in manifest['artifacts'] + if entry['role'] != 'provenance' + ] + (old / MANIFEST_FILE).write_text(json.dumps(manifest)) + (old / 'provenance.json').unlink() restored = kumo.Trainer.load(old) assert restored.bundle_id == result.bundle_id assert restored.provenance is None - pd.testing.assert_frame_equal(_predict(restored, prediction_table, - snapshot), - _predict(trainer, prediction_table, snapshot)) - (old / 'provenance.json').write_text(json.dumps(result.provenance)) - stray = kumo.Trainer.load(old) - assert stray.provenance is None - assert stray.bundle_id == result.bundle_id + def predict(model): + return model.predict( + prediction_table, snapshot=snapshot, + binary_classification_threshold=.5).frame.sort_values( + 'ENTITY').reset_index(drop=True) + + pd.testing.assert_frame_equal(predict(restored), predict(trainer)) -def _finish_stub_fit(tmp_path, trainer, manifest=None): - bundle = tmp_path / 'bundle' +def _finish_stub_fit(bundle, trainer, manifest=None): (bundle / 'model').mkdir(parents=True) (bundle / 'model' / 'config.json').write_text('{}') (bundle / MANIFEST_FILE).write_text(json.dumps({'artifacts': []})) add_bundle_file(bundle, 'trainer_config', 'model/config.json') - table = type('Table', (), {'tt_id': 'tt-1', 'manifest': manifest})() + table = SimpleNamespace(tt_id='tt-1', manifest=manifest) return trainer._finish_fit( TrainingResult({}, {}, bundle), predictive_query='PREDICT x', snapshot_id='snap', export_config=None, @@ -178,17 +82,7 @@ def _finish_stub_fit(tmp_path, trainer, manifest=None): fit_mode=None)) -def test_provenance_without_a_table_manifest(tmp_path): - result = _finish_stub_fit(tmp_path, kumo.Trainer(ModelPlan())) - assert result.provenance['parents']['training_table'] == 'tt-1' - assert result.provenance['training_table'] == { - 'source': None, - 'snapshot': None - } - assert result.provenance['source_tables'] is None - - -def test_provenance_records_custom_table_source(tmp_path): +def test_provenance_records_custom_or_missing_table_source(tmp_path): source_table = { 'connector': 'S3', 'location': 's3://bucket/exports/tt', @@ -196,31 +90,23 @@ def test_provenance_records_custom_table_source(tmp_path): } manifest = { 'source': 'custom', - 'query': 'PREDICT x', 'parents': { 'snapshot': 'snap', 'source_table': source_table }, } - result = _finish_stub_fit(tmp_path, kumo.Trainer(ModelPlan()), manifest) - assert result.provenance['training_table'] == { + custom = _finish_stub_fit(tmp_path / 'custom', kumo.Trainer(ModelPlan()), + manifest) + assert custom.provenance['training_table'] == { 'source': 'custom', 'snapshot': 'snap', **source_table, } - - -@pytest.mark.parametrize('flags,mode', [ - ({}, None), - ({'fitted': True}, 'fit'), - ({'fitted': True, 'refitted_trainval': True}, 'refit_trainval'), - ({'fitted': True, 'refitted_full': True}, 'refit_full'), - ({'fitted': True, 'refitted_trainval': True, 'refitted_full': True}, - 'refit_full'), -]) -def test_published_fit_mode_follows_refit_flags(flags, mode): - trainer = SimpleNamespace(refit_cfg=SimpleNamespace(**flags)) - assert _published_fit_mode(trainer) == mode + older = _finish_stub_fit(tmp_path / 'older', kumo.Trainer(ModelPlan())) + assert older.provenance['training_table'] == { + 'source': None, + 'snapshot': None + } def test_provenance_failure_warns_and_still_publishes(tmp_path, monkeypatch): @@ -232,8 +118,7 @@ def fail(*args): monkeypatch.setattr(_provenance, '_training_table', fail) trainer = kumo.Trainer(ModelPlan()) with pytest.warns(UserWarning, match='unreadable manifest'): - result = _finish_stub_fit(tmp_path, trainer) - assert 'provenance' not in _roles(result.bundle_dir) + result = _finish_stub_fit(tmp_path / 'bundle', trainer) assert result.provenance is None assert re.fullmatch('[0-9a-f]{64}', result.bundle_id) assert trainer._training_result is result From 1321f3cde5d204932b39d7155e8f4b72613b1ec3 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 18:29:44 +0000 Subject: [PATCH 041/123] Reuse shared helpers for bundle provenance add_bundle_file inlined its own atomic write, the engine re-walked the trainer's refit flags to name the published fit mode, and provenance.json repeated the fit snapshot that training-spec.json already records as snapshot_id. add_bundle_file now uses kumo_core.io.filesystem.atomic_write_bytes. kumo_core's Trainer gains published_fit_mode(), the order _set_fit_mode_to_use already used, and fit records it as fit_mode. provenance.json drops parents.snapshot; training_table.snapshot stays because a table may be generated on a different snapshot than the fit's. training_table.source is DiskGraph's source_mode (pquery or custom_tt). Verified with the bundle provenance, trainer registry, warm start, training-table export, snapshot manifest and kumo-core artifact/training suites. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-core/src/kumo_core/artifacts.py | 12 ++---------- .../kumo/engine/trainer/_provenance.py | 16 ++++++---------- .../kumo/engine/trainer/trainer.py | 14 ++------------ .../test/test_bundle_provenance.py | 19 +++++++++---------- .../test/test_semantic_carry_forward.py | 7 +++---- 5 files changed, 22 insertions(+), 46 deletions(-) diff --git a/packages/kumo-core/src/kumo_core/artifacts.py b/packages/kumo-core/src/kumo_core/artifacts.py index 89658aa65..3fc2a36d0 100644 --- a/packages/kumo-core/src/kumo_core/artifacts.py +++ b/packages/kumo-core/src/kumo_core/artifacts.py @@ -359,16 +359,8 @@ def add_bundle_file(bundle_dir: Path, role: str, relative_path: str) -> None: sha256=VitalArtifactPublicationPolicy._sha256(path), ).to_dict() ] - temporary = manifest_path.with_name(f'.{manifest_path.name}.tmp') - try: - with temporary.open('w', encoding='utf-8') as handle: - handle.write(json.dumps(manifest, indent=2, sort_keys=True) + '\n') - handle.flush() - os.fsync(handle.fileno()) - os.replace(temporary, manifest_path) - FilesystemArtifactStore._fsync_directory(bundle_dir) - finally: - temporary.unlink(missing_ok=True) + payload = json.dumps(manifest, indent=2, sort_keys=True) + '\n' + atomic_write_bytes(manifest_path, payload.encode('utf-8')) @runtime_checkable diff --git a/packages/kumo-engine/kumo/engine/trainer/_provenance.py b/packages/kumo-engine/kumo/engine/trainer/_provenance.py index 231ee13f8..62826acf5 100644 --- a/packages/kumo-engine/kumo/engine/trainer/_provenance.py +++ b/packages/kumo-engine/kumo/engine/trainer/_provenance.py @@ -17,7 +17,6 @@ def write_provenance( bundle_dir: Path, *, train_table: TrainingTable, - snapshot_id: str, warm_start_bundle_id: Optional[str], started_at: datetime, fit_mode: Optional[str], @@ -28,7 +27,6 @@ def write_provenance( finished_at = datetime.now(timezone.utc) parents = { 'training_table': train_table.tt_id, - 'snapshot': snapshot_id, 'warm_start': warm_start_bundle_id, } write_manifest( @@ -41,7 +39,7 @@ def write_provenance( 'seconds': round((finished_at - started_at).total_seconds(), 3), }, - training_table=_training_table(train_table.manifest), + training_table=_training_table(train_table), source_tables=_source_tables(snapshot), fit_mode=fit_mode, )) @@ -56,17 +54,15 @@ def _source_tables( return (manifest.get('parents') or {}).get('source_tables') -def _training_table(manifest: Optional[Dict[str, Any]]) -> Dict[str, Any]: - manifest = manifest or {} - parents = manifest.get('parents') or {} +def _training_table(train_table: TrainingTable) -> Dict[str, Any]: + parents = (train_table.manifest or {}).get('parents') or {} record = { - 'source': manifest.get('source'), + 'source': train_table.source_mode, 'snapshot': parents.get('snapshot'), } - if record['source'] == 'custom': - source_table = parents.get('source_table') or {} + if 'source_table' in parents: record.update({ - key: source_table.get(key) + key: (parents['source_table'] or {}).get(key) for key in ('connector', 'location', 'version') }) return record diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index 4e96f0a99..505ecf1e4 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -197,16 +197,6 @@ def _published_holdout(trainer: Any) -> tuple[Optional[Path], Optional[bool]]: return _find_holdout(trainer.get_log_dir(fit_mode=published)) -def _published_fit_mode(trainer: Any) -> Optional[str]: - refit = getattr(trainer, 'refit_cfg', None) - for mode, flag in (('refit_full', 'refitted_full'), - ('refit_trainval', 'refitted_trainval'), - ('fit', 'fitted')): - if getattr(refit, flag, False) is True: - return mode - return None - - def _collect_garbage(stage: str) -> None: # Lightning links each trainer to its data module and model in reference # cycles; free a finished run now rather than at a later collection. @@ -492,7 +482,8 @@ def fit( holdout_path, holdout_truncated = _published_holdout( result.best_trainer) - fit_mode = _published_fit_mode(result.best_trainer) + fit_mode = result.best_trainer.published_fit_mode() + fit_mode = None if fit_mode is None else fit_mode.value training_result = TrainingResult( metrics=dict(result.metrics), artifact_paths=dict(result.artifact_paths), @@ -510,7 +501,6 @@ def fit( export_config=export_config, model_plan=effective_plan, provenance=dict(train_table=train_table, - snapshot_id=snapshot.id, warm_start_bundle_id=warm_start_bundle_id, started_at=started_at, fit_mode=fit_mode, snapshot=snapshot), diff --git a/packages/kumo-engine/test/test_bundle_provenance.py b/packages/kumo-engine/test/test_bundle_provenance.py index fff92cd3f..5c891c58c 100644 --- a/packages/kumo-engine/test/test_bundle_provenance.py +++ b/packages/kumo-engine/test/test_bundle_provenance.py @@ -23,10 +23,10 @@ def test_fit_records_provenance(fitted): result = trainer._training_result provenance = result.provenance parents = provenance['parents'] - assert (parents['snapshot'], parents['warm_start']) == (snapshot.id, None) - assert parents['training_table'] + assert parents.keys() == {'training_table', 'warm_start'} + assert parents['training_table'] and parents['warm_start'] is None assert provenance['training_table'] == { - 'source': 'pql', + 'source': 'pquery', 'snapshot': snapshot.id } assert provenance['source_tables'] == ( @@ -66,18 +66,18 @@ def predict(model): pd.testing.assert_frame_equal(predict(restored), predict(trainer)) -def _finish_stub_fit(bundle, trainer, manifest=None): +def _finish_stub_fit(bundle, trainer, manifest=None, source_mode=None): (bundle / 'model').mkdir(parents=True) (bundle / 'model' / 'config.json').write_text('{}') (bundle / MANIFEST_FILE).write_text(json.dumps({'artifacts': []})) add_bundle_file(bundle, 'trainer_config', 'model/config.json') - table = SimpleNamespace(tt_id='tt-1', manifest=manifest) + table = SimpleNamespace(tt_id='tt-1', manifest=manifest, + source_mode=source_mode) return trainer._finish_fit( TrainingResult({}, {}, bundle), predictive_query='PREDICT x', snapshot_id='snap', export_config=None, training_table_generation=TrainingTableGenerationPlan(), - provenance=dict(train_table=table, snapshot_id='snap', - warm_start_bundle_id=None, + provenance=dict(train_table=table, warm_start_bundle_id=None, started_at=datetime.now(timezone.utc), fit_mode=None)) @@ -89,16 +89,15 @@ def test_provenance_records_custom_or_missing_table_source(tmp_path): 'version': '17' } manifest = { - 'source': 'custom', 'parents': { 'snapshot': 'snap', 'source_table': source_table }, } custom = _finish_stub_fit(tmp_path / 'custom', kumo.Trainer(ModelPlan()), - manifest) + manifest, 'custom_tt') assert custom.provenance['training_table'] == { - 'source': 'custom', + 'source': 'custom_tt', 'snapshot': 'snap', **source_table, } diff --git a/packages/kumo-engine/test/test_semantic_carry_forward.py b/packages/kumo-engine/test/test_semantic_carry_forward.py index a1533b131..9481d14d1 100644 --- a/packages/kumo-engine/test/test_semantic_carry_forward.py +++ b/packages/kumo-engine/test/test_semantic_carry_forward.py @@ -874,10 +874,9 @@ def fake_train(training_input, **kwargs): both_workers.wait(timeout=5) time.sleep(.05) run_name = Path(training_input.home_dir).name - return SimpleNamespace( - metrics={'run_name': - run_name}, artifact_paths={}, explain_disabled=True, - best_trainer=_best_trainer(tmp_path)) + return SimpleNamespace(metrics={'run_name': run_name}, + artifact_paths={}, explain_disabled=True, + best_trainer=_best_trainer(tmp_path)) monkeypatch.setattr( 'kumo.engine.trainer.trainer.build_generated_training_task_dataset', From ef4485c3deadf8dbd6e32baeeed59fe7edc7689c Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 18:31:54 +0000 Subject: [PATCH 042/123] Compute a fresh bundle's id from its publication manifest Fit re-read and re-hashed every bundle file to compute bundle_id right after publication and add_bundle_file had hashed them; on a bundle with a 1 GiB checkpoint that is about 0.76 s of SHA-256 per fit. kumo-core gains bundle_id_from_manifest, the same id formula over the digests the publication manifest already lists; verify_model_bundle uses the shared formula and still fully verifies bundles on load and fetch. Verified with the kumo-core artifact suite (the two ids agree) and the bundle provenance and warm-start suites. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-core/src/kumo_core/artifacts.py | 23 +++++++++++++++++-- packages/kumo-core/tests/test_artifacts.py | 2 ++ .../kumo/engine/trainer/trainer.py | 4 ++-- 3 files changed, 25 insertions(+), 4 deletions(-) diff --git a/packages/kumo-core/src/kumo_core/artifacts.py b/packages/kumo-core/src/kumo_core/artifacts.py index 3fc2a36d0..df403e220 100644 --- a/packages/kumo-core/src/kumo_core/artifacts.py +++ b/packages/kumo-core/src/kumo_core/artifacts.py @@ -13,7 +13,14 @@ import tempfile from dataclasses import dataclass, field from pathlib import Path -from typing import Any, ClassVar, Mapping, Protocol, runtime_checkable +from typing import ( + Any, + ClassVar, + Iterable, + Mapping, + Protocol, + runtime_checkable, +) from .io.filesystem import atomic_write_bytes, fsync_directory, local_path from .io.json import load_json, save_json @@ -335,8 +342,20 @@ def verify_model_bundle(bundle: Path) -> str: if 'training-spec.json' not in seen and spec_path.is_file(): verified.append(('training-spec.json', VitalArtifactPublicationPolicy._sha256(spec_path))) + return _bundle_id(verified) + + +def bundle_id_from_manifest(bundle: Path) -> str: + """The bundle id from the digests a freshly published bundle lists.""" + manifest_path = Path(bundle) / VitalArtifactPublicationPolicy.MANIFEST_NAME + manifest = json.loads(manifest_path.read_text(encoding='utf-8')) + return _bundle_id((str(entry['relative_path']), str(entry['sha256'])) + for entry in manifest['artifacts']) + + +def _bundle_id(pairs: Iterable[tuple[str, str]]) -> str: payload = json.dumps( - sorted(pair for pair in verified if pair[0] != PROVENANCE_FILE), + sorted(pair for pair in pairs if pair[0] != PROVENANCE_FILE), separators=(',', ':')) return hashlib.sha256(payload.encode('utf-8')).hexdigest() diff --git a/packages/kumo-core/tests/test_artifacts.py b/packages/kumo-core/tests/test_artifacts.py index 9061d7ee7..eadaf82e1 100644 --- a/packages/kumo-core/tests/test_artifacts.py +++ b/packages/kumo-core/tests/test_artifacts.py @@ -16,6 +16,7 @@ VitalArtifactPublicationPolicy, VitalArtifactSources, add_bundle_file, + bundle_id_from_manifest, resolve_vital_artifact_sources, verify_model_bundle, ) @@ -252,6 +253,7 @@ def test_bundle_id_ignores_provenance_only(tmp_path: Path) -> None: (bundle / "provenance.json").write_text(payload) add_bundle_file(bundle, "provenance", "provenance.json") assert verify_model_bundle(bundle) == bundle_id + assert bundle_id_from_manifest(bundle) == bundle_id roles = [ entry["role"] for entry in json.loads( (bundle / "publication-manifest.json").read_text())["artifacts"] diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index 505ecf1e4..0b2cd6e25 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -518,7 +518,7 @@ def _finish_fit( provenance: Optional[Mapping[str, Any]] = None, ) -> TrainingResult: """Commit durable fit outputs before making this trainer usable.""" - from kumo_core.artifacts import verify_model_bundle + from kumo_core.artifacts import bundle_id_from_manifest from kumo.engine.trainer._provenance import write_provenance @@ -540,7 +540,7 @@ def _finish_fit( try: training_result = replace( training_result, - bundle_id=verify_model_bundle(training_result.bundle_dir)) + bundle_id=bundle_id_from_manifest(training_result.bundle_dir)) except Exception as error: warnings.warn(f"Could not compute the bundle id: {error}", UserWarning, stacklevel=3) From fd6e8d7a9f4a93ae0fd13a32651354ec21e0dfeb Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 21:10:20 +0000 Subject: [PATCH 043/123] Copy a custom table's full source entry into provenance provenance.json picked connector, location and version from the training table's source entry and dropped version_kind and Custom SQL dependencies that the training-table manifest now records. The whole entry is copied, so provenance mirrors the training-table manifest the way source_tables mirror the snapshot manifest. Verified with the bundle provenance and training-table export tests. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/kumo/engine/trainer/_provenance.py | 5 +---- packages/kumo-engine/test/test_bundle_provenance.py | 3 ++- 2 files changed, 3 insertions(+), 5 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/trainer/_provenance.py b/packages/kumo-engine/kumo/engine/trainer/_provenance.py index 62826acf5..12a15ade9 100644 --- a/packages/kumo-engine/kumo/engine/trainer/_provenance.py +++ b/packages/kumo-engine/kumo/engine/trainer/_provenance.py @@ -61,10 +61,7 @@ def _training_table(train_table: TrainingTable) -> Dict[str, Any]: 'snapshot': parents.get('snapshot'), } if 'source_table' in parents: - record.update({ - key: (parents['source_table'] or {}).get(key) - for key in ('connector', 'location', 'version') - }) + record.update(parents['source_table'] or {}) return record diff --git a/packages/kumo-engine/test/test_bundle_provenance.py b/packages/kumo-engine/test/test_bundle_provenance.py index 5c891c58c..d5c2c194c 100644 --- a/packages/kumo-engine/test/test_bundle_provenance.py +++ b/packages/kumo-engine/test/test_bundle_provenance.py @@ -86,7 +86,8 @@ def test_provenance_records_custom_or_missing_table_source(tmp_path): source_table = { 'connector': 'S3', 'location': 's3://bucket/exports/tt', - 'version': '17' + 'version': '17', + 'version_kind': 'timestamp', } manifest = { 'parents': { From e0ad8ac82fbea395fca06b3bf10f0e8cc8b88a1f Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 22:19:39 +0000 Subject: [PATCH 044/123] Store the bundle id in provenance.json provenance.json recorded "id": null, so a provenance file copied out of its bundle (logged to a tracker or registry) could not be matched to the bundle it describes. The id excludes provenance.json, so it is now computed first and written as the provenance id. Verified with test_bundle_provenance.py. Co-Authored-By: Claude Opus 5.5 --- .../kumo/engine/trainer/_provenance.py | 3 ++- .../kumo-engine/kumo/engine/trainer/trainer.py | 16 +++++++++------- .../kumo-engine/test/test_bundle_provenance.py | 3 ++- 3 files changed, 13 insertions(+), 9 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/trainer/_provenance.py b/packages/kumo-engine/kumo/engine/trainer/_provenance.py index 12a15ade9..f59d9cb98 100644 --- a/packages/kumo-engine/kumo/engine/trainer/_provenance.py +++ b/packages/kumo-engine/kumo/engine/trainer/_provenance.py @@ -16,6 +16,7 @@ def write_provenance( bundle_dir: Path, *, + bundle_id: Optional[str], train_table: TrainingTable, warm_start_bundle_id: Optional[str], started_at: datetime, @@ -32,7 +33,7 @@ def write_provenance( write_manifest( bundle_dir / PROVENANCE_FILE, new_manifest( - 'model_bundle', None, parents, + 'model_bundle', bundle_id, parents, fit={ 'started_at': started_at.isoformat(timespec='seconds'), 'finished_at': finished_at.isoformat(timespec='seconds'), diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index 0b2cd6e25..2b6a83e70 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -530,13 +530,6 @@ def _finish_fit( snapshot_id=snapshot_id, training_table_generation=training_table_generation, ) - if provenance is not None: - try: - write_provenance(training_result.bundle_dir, **provenance) - except Exception as error: - warnings.warn( - f"Publishing the model bundle without provenance.json: " - f"{error}", UserWarning, stacklevel=3) try: training_result = replace( training_result, @@ -544,6 +537,15 @@ def _finish_fit( except Exception as error: warnings.warn(f"Could not compute the bundle id: {error}", UserWarning, stacklevel=3) + if provenance is not None: + try: + write_provenance(training_result.bundle_dir, + bundle_id=training_result.bundle_id, + **provenance) + except Exception as error: + warnings.warn( + f"Publishing the model bundle without provenance.json: " + f"{error}", UserWarning, stacklevel=3) if export_config is not None: spec = read_training_spec(training_result.bundle_dir) published = export_config.connector.sink_backend.publish_model( diff --git a/packages/kumo-engine/test/test_bundle_provenance.py b/packages/kumo-engine/test/test_bundle_provenance.py index d5c2c194c..c20cd54dd 100644 --- a/packages/kumo-engine/test/test_bundle_provenance.py +++ b/packages/kumo-engine/test/test_bundle_provenance.py @@ -33,7 +33,8 @@ def test_fit_records_provenance(fitted): snapshot.manifest['parents']['source_tables']) assert provenance['fit_mode'] == 'refit_trainval' assert re.fullmatch('[0-9a-f]{64}', trainer.bundle_id) - assert trainer.bundle_id == result.bundle_id + assert trainer.bundle_id == result.bundle_id == provenance['id'] + assert kumo.Trainer.load(result.bundle_dir).bundle_id == provenance['id'] def test_bundle_without_provenance_loads_and_predicts_identically( From 427404869086fde3b93edad2124466a37aa065e1 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Thu, 22 Oct 2026 18:47:02 +0000 Subject: [PATCH 045/123] Make bundle provenance a frozen dataclass TrainingResult.provenance and Trainer.provenance returned a dict. They now return a BundleProvenance (parents, fit timing, the training table record and source tables) built on the shared manifest dataclasses. provenance.json on disk and the bundle id are unchanged; the training table record still writes its source table's keys inline. Verified with test_bundle_provenance.py and test_warm_start.py. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/kumo/engine/_manifest.py | 51 +++++++++++ .../kumo/engine/trainer/_provenance.py | 62 +++++++------ .../kumo/engine/trainer/trainer.py | 5 +- .../test/test_bundle_provenance.py | 88 +++++++++++-------- packages/kumo-engine/test/test_warm_start.py | 2 +- 5 files changed, 142 insertions(+), 66 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/_manifest.py b/packages/kumo-engine/kumo/engine/_manifest.py index 0046bee77..66da20154 100644 --- a/packages/kumo-engine/kumo/engine/_manifest.py +++ b/packages/kumo-engine/kumo/engine/_manifest.py @@ -16,6 +16,7 @@ List, Mapping, Optional, + Self, Type, TypeVar, Union, @@ -177,6 +178,56 @@ class TrainingTableManifest(Manifest): split_seed: Optional[int] +@dataclass(frozen=True, kw_only=True) +class BundleParents(Record): + training_table: str + warm_start: Optional[str] + + +@dataclass(frozen=True, kw_only=True) +class FitTiming(Record): + started_at: str + finished_at: str + seconds: float + + +@dataclass(frozen=True, kw_only=True) +class BundleTrainingTable(Record): + """Written with ``source_table``'s keys inline.""" + + source: Optional[str] + snapshot: Optional[str] + source_table: Optional[SourceTableEntry] = None + + def to_dict(self) -> Dict[str, Any]: + data = {**self.extra, 'source': self.source, 'snapshot': self.snapshot} + if self.source_table is not None: + data.update(self.source_table.to_dict()) + return data + + @classmethod + def from_dict(cls, data: Mapping[str, Any]) -> Self: + rest = { + key: value + for key, value in data.items() if key not in ('source', 'snapshot') + } + if 'version_kind' not in rest: + return cls(source=data.get('source'), snapshot=data.get('snapshot'), + extra=rest) + return cls(source=data.get('source'), snapshot=data.get('snapshot'), + source_table=SourceTableEntry.from_dict(rest)) + + +@dataclass(frozen=True, kw_only=True) +class BundleProvenance(Manifest): + kind: str = 'model_bundle' + parents: BundleParents + fit: FitTiming + training_table: BundleTrainingTable + source_tables: Optional[Dict[str, SourceTableEntry]] + fit_mode: Optional[str] + + def write_manifest(path: Path, manifest: Manifest) -> None: payload = json.dumps(manifest.to_dict(), indent=2, sort_keys=True) + '\n' atomic_write_bytes(path, payload.encode('utf-8')) diff --git a/packages/kumo-engine/kumo/engine/trainer/_provenance.py b/packages/kumo-engine/kumo/engine/trainer/_provenance.py index f59d9cb98..3287db604 100644 --- a/packages/kumo-engine/kumo/engine/trainer/_provenance.py +++ b/packages/kumo-engine/kumo/engine/trainer/_provenance.py @@ -5,9 +5,18 @@ from datetime import datetime, timezone from pathlib import Path -from typing import Any, Dict, Optional +from typing import Dict, Optional -from kumo.engine._manifest import new_manifest, read_manifest, write_manifest +from kumo.engine._manifest import ( + BundleParents, + BundleProvenance, + BundleTrainingTable, + FitTiming, + SourceTableEntry, + read_manifest, + stamp, + write_manifest, +) from kumo.engine.graph import GraphSnapshot from kumo.engine.pquery.training_table import TrainingTable from kumo.engine.trainer._spec import PROVENANCE_ROLE, listed_file @@ -26,46 +35,43 @@ def write_provenance( from kumo_core.artifacts import PROVENANCE_FILE, add_bundle_file finished_at = datetime.now(timezone.utc) - parents = { - 'training_table': train_table.tt_id, - 'warm_start': warm_start_bundle_id, - } write_manifest( bundle_dir / PROVENANCE_FILE, - new_manifest( - 'model_bundle', bundle_id, parents, - fit={ - 'started_at': started_at.isoformat(timespec='seconds'), - 'finished_at': finished_at.isoformat(timespec='seconds'), - 'seconds': round((finished_at - started_at).total_seconds(), - 3), - }, + BundleProvenance( + id=bundle_id, + parents=BundleParents(training_table=train_table.tt_id, + warm_start=warm_start_bundle_id), + fit=FitTiming( + started_at=started_at.isoformat(timespec='seconds'), + finished_at=finished_at.isoformat(timespec='seconds'), + seconds=round((finished_at - started_at).total_seconds(), 3), + ), training_table=_training_table(train_table), source_tables=_source_tables(snapshot), fit_mode=fit_mode, + **stamp(), )) add_bundle_file(bundle_dir, PROVENANCE_ROLE, PROVENANCE_FILE) def _source_tables( - snapshot: Optional[GraphSnapshot]) -> Optional[Dict[str, Any]]: + snapshot: Optional[GraphSnapshot] +) -> Optional[Dict[str, SourceTableEntry]]: manifest = None if snapshot is None else snapshot.manifest - if not manifest or manifest.get('reconstructed'): + if manifest is None or manifest.reconstructed: return None - return (manifest.get('parents') or {}).get('source_tables') + return manifest.parents.source_tables -def _training_table(train_table: TrainingTable) -> Dict[str, Any]: - parents = (train_table.manifest or {}).get('parents') or {} - record = { - 'source': train_table.source_mode, - 'snapshot': parents.get('snapshot'), - } - if 'source_table' in parents: - record.update(parents['source_table'] or {}) - return record +def _training_table(train_table: TrainingTable) -> BundleTrainingTable: + manifest = train_table.manifest + return BundleTrainingTable( + source=train_table.source_mode, + snapshot=None if manifest is None else manifest.parents.snapshot, + source_table=None + if manifest is None else manifest.parents.source_table) -def read_provenance(bundle_dir: Path) -> Optional[Dict[str, Any]]: +def read_provenance(bundle_dir: Path) -> Optional[BundleProvenance]: path = listed_file(bundle_dir, PROVENANCE_ROLE) - return None if path is None else read_manifest(path) + return None if path is None else read_manifest(path, BundleProvenance) diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index 2b6a83e70..b1b6b23f7 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -42,6 +42,7 @@ require_embedding_models, require_trained_embedding_models, ) +from kumo.engine._manifest import BundleProvenance from kumo.engine._scratch import new_run_id, trainer_scratch_dir from kumo.engine.connector.base import Connector from kumo.engine.graph import GraphSnapshot @@ -84,7 +85,7 @@ class TrainingResult: bundle_id: Optional[str] = None @property - def provenance(self) -> Optional[Dict[str, Any]]: + def provenance(self) -> Optional[BundleProvenance]: """The bundle's recorded fit provenance; None for older bundles.""" from kumo.engine.trainer._provenance import read_provenance @@ -270,7 +271,7 @@ def bundle_id(self) -> Optional[str]: return getattr(self._training_result, 'bundle_id', None) @property - def provenance(self) -> Optional[Dict[str, Any]]: + def provenance(self) -> Optional[BundleProvenance]: """Fit provenance of the fitted or loaded bundle, if recorded.""" result = self._training_result return None if result is None else result.provenance diff --git a/packages/kumo-engine/test/test_bundle_provenance.py b/packages/kumo-engine/test/test_bundle_provenance.py index c20cd54dd..608564460 100644 --- a/packages/kumo-engine/test/test_bundle_provenance.py +++ b/packages/kumo-engine/test/test_bundle_provenance.py @@ -14,6 +14,14 @@ from kumoapi.model_plan import ModelPlan, TrainingTableGenerationPlan import kumo.engine as kumo +from kumo.engine._manifest import ( + BundleProvenance, + BundleTrainingTable, + SourceTableEntry, + TrainingTableParents, + read_manifest, + write_manifest, +) from kumo.engine.trainer._spec import MANIFEST_FILE from kumo.engine.trainer.trainer import TrainingResult @@ -22,19 +30,36 @@ def test_fit_records_provenance(fitted): trainer, _, snapshot = fitted result = trainer._training_result provenance = result.provenance - parents = provenance['parents'] - assert parents.keys() == {'training_table', 'warm_start'} - assert parents['training_table'] and parents['warm_start'] is None - assert provenance['training_table'] == { - 'source': 'pquery', - 'snapshot': snapshot.id - } - assert provenance['source_tables'] == ( - snapshot.manifest['parents']['source_tables']) - assert provenance['fit_mode'] == 'refit_trainval' + parents = provenance.parents + assert parents.training_table and parents.warm_start is None + assert parents.extra == {} + assert provenance.training_table == BundleTrainingTable( + source='pquery', snapshot=snapshot.id) + assert provenance.source_tables == snapshot.manifest.parents.source_tables + assert provenance.fit_mode == 'refit_trainval' assert re.fullmatch('[0-9a-f]{64}', trainer.bundle_id) - assert trainer.bundle_id == result.bundle_id == provenance['id'] - assert kumo.Trainer.load(result.bundle_dir).bundle_id == provenance['id'] + assert trainer.bundle_id == result.bundle_id == provenance.id + assert kumo.Trainer.load(result.bundle_dir).bundle_id == provenance.id + + +def test_provenance_round_trips_unchanged(fitted, tmp_path): + trainer, _, _ = fitted + newer = json.loads( + (trainer._training_result.bundle_dir / 'provenance.json').read_text()) + newer['future'] = True + newer['fit']['gpu_seconds'] = 1.5 + newer['training_table'].update(connector='S3', location='s3://b/tt', + version='1', version_kind='exact') + source = tmp_path / 'newer.json' + source.write_text(json.dumps(newer, indent=2, sort_keys=True) + '\n') + + provenance = read_manifest(source, BundleProvenance) + write_manifest(tmp_path / 'out.json', provenance) + + assert (tmp_path / 'out.json').read_bytes() == source.read_bytes() + assert provenance.extra == {'future': True} + assert provenance.fit.extra == {'gpu_seconds': 1.5} + assert provenance.training_table.source_table.location == 's3://b/tt' def test_bundle_without_provenance_loads_and_predicts_identically( @@ -79,35 +104,28 @@ def _finish_stub_fit(bundle, trainer, manifest=None, source_mode=None): snapshot_id='snap', export_config=None, training_table_generation=TrainingTableGenerationPlan(), provenance=dict(train_table=table, warm_start_bundle_id=None, - started_at=datetime.now(timezone.utc), - fit_mode=None)) + started_at=datetime.now(timezone.utc), fit_mode=None)) def test_provenance_records_custom_or_missing_table_source(tmp_path): - source_table = { - 'connector': 'S3', - 'location': 's3://bucket/exports/tt', - 'version': '17', - 'version_kind': 'timestamp', - } - manifest = { - 'parents': { - 'snapshot': 'snap', - 'source_table': source_table - }, - } + source_table = SourceTableEntry(connector='S3', + location='s3://bucket/exports/tt', + version='17', version_kind='timestamp') + manifest = SimpleNamespace(parents=TrainingTableParents( + snapshot='snap', source_table=source_table)) custom = _finish_stub_fit(tmp_path / 'custom', kumo.Trainer(ModelPlan()), manifest, 'custom_tt') - assert custom.provenance['training_table'] == { - 'source': 'custom_tt', - 'snapshot': 'snap', - **source_table, - } + assert custom.provenance.training_table == BundleTrainingTable( + source='custom_tt', snapshot='snap', source_table=source_table) + assert json.loads((tmp_path / 'custom' / + 'provenance.json').read_text())['training_table'] == { + 'source': 'custom_tt', + 'snapshot': 'snap', + **source_table.to_dict() + } older = _finish_stub_fit(tmp_path / 'older', kumo.Trainer(ModelPlan())) - assert older.provenance['training_table'] == { - 'source': None, - 'snapshot': None - } + assert older.provenance.training_table == BundleTrainingTable( + source=None, snapshot=None) def test_provenance_failure_warns_and_still_publishes(tmp_path, monkeypatch): diff --git a/packages/kumo-engine/test/test_warm_start.py b/packages/kumo-engine/test/test_warm_start.py index d60a645cb..3370f632f 100644 --- a/packages/kumo-engine/test/test_warm_start.py +++ b/packages/kumo-engine/test/test_warm_start.py @@ -182,7 +182,7 @@ def configure(self): patch.setattr(BaseLightningModule, 'configure_optimizers', configure) second = destination.fit(table, snapshot=snapshot, warm_start=source) assert restored_states and configured_states - assert second.provenance['parents']['warm_start'] == source.bundle_id + assert second.provenance.parents.warm_start == source.bundle_id assert destination.model_plan == configured_plan assert _hash_bundle(durable) == original_hashes assert _hash_bundle(source_bundle) == original_hashes From 160f8a659865e7ff523aac66fa0eb00965089e9a Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Tue, 20 Oct 2026 20:30:39 +0000 Subject: [PATCH 046/123] Add GraphSnapshot export and load through object storage A graph index can only be used on the machine that built it, so building on a CPU box and training on a GPU box means re-reading every source. GraphSnapshot.export(connector, path) copies the index to /// through any S3, GCS or file connector and returns that location; GraphSnapshot.load_from_connector (connector, path=...) copies it into the local snapshot store. Transfers run in parallel with a CRC32 per range, an interrupted export resumes, a load stages and renames so it completes or leaves nothing, and identical racing exports both succeed. Re-running an export over a committed one re-uploads any file whose size no longer matches. kumo_snapshot.json, written last, embeds the snapshot manifest; load writes it back with the loading machine's formats under `loaded`. Load compares no versions: a graph mismatch or unknown layout format warns, and an index DiskGraph cannot open fails naming the recorded and installed formats. Loading again reuses the local copy unless it fails the DiskGraph integrity check. Graph.snapshot() reuse is unchanged. Warehouse connectors raise NotImplementedError. Ported from the platform's snapshot export, with fixes: free space must cover the full size, malformed manifests raise ValueError, the load path always runs the integrity check, and a racing export cannot fail on the marker delete. Verified with the export/load tests (round trip, resume, corruption, hostile and malformed manifests, free space, concurrent and late identical exports, repair, recorded differences, unchanged in-place reuse, object-store fakes), the S3 sink test, and the existing snapshot, kumo-s3 and kumo-core object store suites. Live S3/GCS tests are env-gated and were not run. Co-Authored-By: Claude Opus 5.5 --- .../src/kumo_core/object_store_sink.py | 10 + .../src/kumo_core/sources/object_store.py | 8 +- packages/kumo-engine/README.md | 22 + .../kumo-engine/kumo/engine/_snapshot_io.py | 473 ++++++++++++++++ packages/kumo-engine/kumo/engine/graph.py | 91 ++- packages/kumo-engine/test/conftest.py | 28 + .../kumo-engine/test/test_snapshot_export.py | 526 ++++++++++++++++++ .../test/test_snapshot_export_live.py | 56 ++ packages/kumo-s3/src/kumo_s3/backend.py | 33 +- packages/kumo-s3/src/kumo_s3/sink.py | 9 + packages/kumo-s3/tests/test_sink.py | 49 ++ 11 files changed, 1281 insertions(+), 24 deletions(-) create mode 100644 packages/kumo-engine/kumo/engine/_snapshot_io.py create mode 100644 packages/kumo-engine/test/test_snapshot_export.py create mode 100644 packages/kumo-engine/test/test_snapshot_export_live.py create mode 100644 packages/kumo-s3/tests/test_sink.py diff --git a/packages/kumo-core/src/kumo_core/object_store_sink.py b/packages/kumo-core/src/kumo_core/object_store_sink.py index 193b669dc..01293d10d 100644 --- a/packages/kumo-core/src/kumo_core/object_store_sink.py +++ b/packages/kumo-core/src/kumo_core/object_store_sink.py @@ -31,6 +31,16 @@ def _destination(self, connector: SourceConnector, """Return the authenticated filesystem and validated bucket/key path.""" raise NotImplementedError + def filesystem(self, connector: SourceConnector, path: str, *, + parallel_uploads: bool = False) -> Tuple[FileSystem, str]: + """The authenticated filesystem and the path ``path`` resolves to. + ``parallel_uploads`` tunes S3 for many concurrent uploads (one + buffered part each, small files as one PUT); other stores ignore it. + """ + del parallel_uploads + filesystem, resolved = self._destination(connector, path) + return filesystem, resolved.rstrip('/') + def write_table( self, connector: SourceConnector, diff --git a/packages/kumo-core/src/kumo_core/sources/object_store.py b/packages/kumo-core/src/kumo_core/sources/object_store.py index 828600080..bf1058d07 100644 --- a/packages/kumo-core/src/kumo_core/sources/object_store.py +++ b/packages/kumo-core/src/kumo_core/sources/object_store.py @@ -491,7 +491,7 @@ def _copy(self, path: str, found: Sequence[Any], dest: str, if self.fetch is not None: return self._download_objects(path, found, dest, worker_ceiling, parquet=True) - with _copies(found, worker_ceiling) as workers: + with copies(found, worker_ceiling) as workers: return fetch_all([ StagedFile( entry.path, entry.size @@ -521,7 +521,7 @@ def download(entry: Any) -> str: return target try: - with _copies(found, worker_ceiling) as workers, ThreadPoolExecutor( + with copies(found, worker_ceiling) as workers, ThreadPoolExecutor( max_workers=workers) as pool: futures = [pool.submit(download, entry) for entry in found] try: @@ -816,8 +816,8 @@ def _parquet_batches(fragment: Any, @contextmanager -def _copies(found: Sequence[Any], - worker_ceiling: int | None) -> Iterator[int]: +def copies(found: Sequence[Any], + worker_ceiling: int | None = None) -> Iterator[int]: """Arrow-backed downloaders copy on Arrow's IO pool.""" with memory_share( COPY_WORKER_BYTES, lambda ceiling: min( diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index 3847ae5bd..fa033fdd1 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -135,6 +135,28 @@ Snapshot indexes are reused by graph definition and source version; changed versions get separate directories. Builds for the same graph use a filesystem lock. See the [implementation](https://github.com/NVIDIA/kumo-engine/blob/main/packages/kumo-engine/kumo/engine/graph.py). +To build an index on one machine and train on another, export it through an +S3, GCS or file connector and load it there: + +```python +location = graph.snapshot().export(S3Connector(), "s3://bucket/snapshots") +# On the training machine: +snapshot = GraphSnapshot.load_from_connector(S3Connector(), path=location) +``` + +`export` writes `///` (the two halves of +`snapshot.id`) and returns it. Files move in parallel with a CRC32 per range, +an interrupted export resumes, and a load either completes or leaves nothing. +Loading again reuses the local copy unless it fails DiskGraph's integrity +check, in which case it is downloaded again. +The snapshot manifest travels with the export; `snapshot.manifest` on the +loaded copy shows the DiskGraph formats it was built with and, under `loaded`, +the formats of the machine that loaded it. Load does not compare versions; an +index this DiskGraph cannot open fails with both sets of formats in the error. +Load only from paths whose writers you trust: checksums detect corruption, not +tampering. Snowflake stages and Databricks connectors are not supported; for a +Unity Catalog Volume, use the S3 or GCS connector on its backing path. + The return values expose the retained files directly: ```python diff --git a/packages/kumo-engine/kumo/engine/_snapshot_io.py b/packages/kumo-engine/kumo/engine/_snapshot_io.py new file mode 100644 index 000000000..ef38e39dc --- /dev/null +++ b/packages/kumo-engine/kumo/engine/_snapshot_io.py @@ -0,0 +1,473 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. +# All rights reserved. +# SPDX-License-Identifier: Apache-2.0 + +import hashlib +import json +import logging +import os +import re +import shutil +import threading +import time +import warnings +import zlib +from concurrent.futures import FIRST_EXCEPTION, ThreadPoolExecutor, wait +from functools import partial +from pathlib import Path +from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple + +from pyarrow.fs import FileSelector, FileSystem, FileType + +_FORMAT = 1 +_MANIFEST = 'kumo_snapshot.json' +_EXPORTING = '_EXPORTING' +_RANGE_BYTES = 64 << 20 +_CHUNK = 8 << 20 +_INDEX_MANIFEST = '_MANIFEST.json' +_ATTEMPTS = 3 +_KEY = re.compile('[0-9a-f]{64}') +_PROGRESS_SECONDS = 30 +_UNSUPPORTED = { + 'SNOWFLAKE': 'Snowflake stages are not supported', + 'DATABRICKS': ('for a Unity Catalog Volume, use an S3Connector or ' + "GCSConnector on the volume's backing cloud path"), + 'BIGQUERY': 'BigQuery cannot hold files', +} + +logger = logging.getLogger(__name__) + + +def _location(connector: Any, path: str) -> Tuple[FileSystem, str]: + from kumo_core.object_store_sink import ObjectStoreSinkBackend + + reason = _UNSUPPORTED.get(getattr(connector.source_type, 'name', None)) + sink = None if reason else connector.sink_backend + if not isinstance(sink, ObjectStoreSinkBackend): + raise NotImplementedError( + f'{type(connector).__name__} cannot hold a snapshot export' + f"{f' ({reason})' if reason else ''}; use an S3Connector, " + 'GCSConnector or FileConnector.') + return sink.filesystem(connector, path, parallel_uploads=True) + + +def _check_key(graph_key: Any, data_version: Any, snapshot_id: Any) -> None: + if not (isinstance(graph_key, str) and isinstance(data_version, str) + and _KEY.fullmatch(graph_key) and _KEY.fullmatch(data_version) + and snapshot_id == f'{graph_key}@{data_version[:16]}'): + raise ValueError( + f'Snapshot {snapshot_id!r} does not name a graph key and data ' + 'version this package produced.') + + +class _Client: + def __init__(self, connector: Any, path: str) -> None: + self._make = lambda: _location(connector, path)[0] + self.current = self._make() + self._lock = threading.Lock() + + def renew(self, stale: FileSystem) -> None: + with self._lock: + if self.current is stale: + self.current = self._make() + + +def _parallel(connector: Any, path: str, items: Sequence[Any], + sizes: Sequence[int], work: Callable[..., Any], + action: str) -> List[Any]: + from kumo_core.sources.object_store import copies + + stop = threading.Event() + total = sum(sizes) + with copies(items) as workers, ThreadPoolExecutor(workers) as pool: + # Created after `copies` raises Arrow's IO pool, which sizes the + # client's connection pool. + client = _Client(connector, path) + logger.info('Snapshot %s of %s: %d files, %d bytes, %d workers', + action, path, len(items), total, workers) + started = time.monotonic() + futures = { + pool.submit(_retried, client, work, item, stop): size + for item, size in zip(items, sizes) + } + try: + pending, moved = set(futures), 0 + while pending: + done, pending = wait(pending, timeout=_PROGRESS_SECONDS, + return_when=FIRST_EXCEPTION) + for future in done: + if future.exception() is not None: + raise future.exception() + moved += futures[future] + elapsed = time.monotonic() - started + logger.info('Snapshot %s of %s: %d of %d bytes, %.2f GB/s', + action, path, moved, total, + moved / max(elapsed, 1e-9) / 1e9) + return [future.result() for future in futures] + except BaseException: + # Leaving the pool joins the workers, which notice `stop`. + stop.set() + for future in futures: + future.cancel() + raise + + +def _retried(client: _Client, work: Callable[..., Any], item: Any, + stop: threading.Event) -> Any: + attempt = 0 + while True: + _stopped(stop) + current = client.current + try: + return work(current, item, stop) + except (FileNotFoundError, PermissionError): + raise + except OSError as error: + if attempt + 1 == _ATTEMPTS: + raise + logger.warning('Retrying a snapshot transfer after: %s', error) + # Arrow keeps the credentials a client was built with. + client.renew(current) + stop.wait(2**attempt) + attempt += 1 + + +def _stopped(stop: threading.Event) -> None: + from kumo_core.sources.parallel import WorkCancelled + + if stop.is_set(): + raise WorkCancelled('abandoned after another transfer failed') + + +def _stream(source: Path, size: int, stop: threading.Event, + write: Optional[Callable[[bytes], Any]] = None) -> List[int]: + crcs: List[int] = [] + with open(source, 'rb', buffering=0) as reader: + for offset in range(0, size, _CHUNK): + _stopped(stop) + chunk = reader.read(min(_CHUNK, size - offset)) + if len(chunk) != min(_CHUNK, size - offset): + raise OSError(f'{source} changed while it was exported') + if offset % _RANGE_BYTES == 0: + crcs.append(0) + crcs[-1] = zlib.crc32(chunk, crcs[-1]) + if write is not None: + write(chunk) + return crcs or [0] + + +def _read_json(filesystem: FileSystem, path: str) -> Optional[dict]: + try: + with filesystem.open_input_stream(path) as reader: + return json.loads(reader.readall()) + except FileNotFoundError: + return None + + +def _open_output(filesystem: FileSystem, path: str) -> Any: + if filesystem.type_name not in ('s3', 'gcs'): + filesystem.create_dir(path.rsplit('/', 1)[0], recursive=True) + return filesystem.open_output_stream(path) + + +def _write_json(filesystem: FileSystem, path: str, value: dict) -> None: + with _open_output(filesystem, path) as writer: + writer.write(json.dumps(value).encode()) + + +def _committed(filesystem: FileSystem, root: str, location: str, + snapshot_id: str, fingerprint: str) -> bool: + existing = _read_json(filesystem, f'{root}/{_MANIFEST}') + if existing is None: + return False + if not isinstance(existing, dict): + existing = {} + if (existing.get('snapshot_id') == snapshot_id + and existing.get('index_manifest') == fingerprint): + return True + raise ValueError( + f'{location} already holds an export of snapshot ' + f"{existing.get('snapshot_id')!r} that differs from this one.") + + +def export(snapshot: Any, connector: Any, path: str) -> str: + from kumo.engine._provenance import environment + + source = Path(snapshot.index_path) + graph_key, data_version = source.parent.name, source.name + _check_key(graph_key, data_version, snapshot.id) + location = f"{path.rstrip('/')}/{graph_key}/{data_version[:16]}" + index_manifest = (source / _INDEX_MANIFEST).read_bytes() + files = sorted([(entry['rel_path'], int(entry['size_bytes'])) + for entry in json.loads(index_manifest)['files']] + + [(_INDEX_MANIFEST, len(index_manifest))], + key=lambda file: -file[1]) + fingerprint = hashlib.sha256(index_manifest).hexdigest() + identity = {'snapshot_id': snapshot.id, 'index_manifest': fingerprint} + filesystem, root = _location(connector, location) + + def committed() -> bool: + return _committed(filesystem, root, location, snapshot.id, + fingerprint) + + def present() -> Dict[str, int]: + return { + info.path[len(root) + len('/index/'):]: info.size + for info in filesystem.get_file_info( + FileSelector(f'{root}/index', recursive=True, + allow_not_found=True)) + if info.type is FileType.File + } + + def upload(client: FileSystem, file: Tuple[str, int], + stop: threading.Event) -> List[int]: + name, size = file + if uploaded.get(name) == size: + return _stream(source / name, size, stop) + with _open_output(client, f'{root}/index/{name}') as writer: + return _stream(source / name, size, stop, writer.write) + + if committed(): + # Re-running repairs files a racing or interrupted export rewrote. + uploaded = present() + stale = [file for file in files if uploaded.get(file[0]) != file[1]] + if stale: + _parallel(connector, location, stale, + [size for _, size in stale], upload, 'repair') + return location + marker = _read_json(filesystem, f'{root}/{_EXPORTING}') + if not isinstance(marker, (dict, type(None))): + marker = {} + if marker is None and filesystem.get_file_info( + FileSelector(root, allow_not_found=True)): + raise ValueError(f'{location} is not empty; remove it and re-export.') + if marker is not None and marker.get('snapshot_id') != snapshot.id: + raise ValueError( + f"{location} holds a partial export of snapshot " + f"{marker.get('snapshot_id')!r}; remove it and re-export.") + resume = (marker or {}).get('index_manifest') == fingerprint + _write_json(filesystem, f'{root}/{_EXPORTING}', identity) + uploaded = present() if resume else {} + crcs = _parallel(connector, location, files, [size for _, size in files], + upload, 'export') + filesystem, root = _location(connector, location) + # An identical export racing this one uploads the same bytes, so + # whichever finishes first commits and the other finds it committed. + if committed(): + return location + if (_read_json(filesystem, f'{root}/{_EXPORTING}') != identity + and not committed()): + raise RuntimeError( + f'Another export to {location} started while this one ran; ' + 'remove it and re-export.') + _write_json( + filesystem, f'{root}/{_MANIFEST}', { + 'format': _FORMAT, + 'snapshot_id': snapshot.id, + 'graph_key': graph_key, + 'data_version': data_version, + 'index_manifest': fingerprint, + 'graph_config': snapshot.graph_config, + 'snapshot': snapshot.manifest, + 'environment': environment(), + 'range_bytes': _RANGE_BYTES, + 'files': [{ + 'path': name, + 'size': size, + 'crc32': file_crcs + } for (name, size), file_crcs in zip(files, crcs)], + }) + try: + filesystem.delete_file(f'{root}/{_EXPORTING}') + except FileNotFoundError: + pass + return location + + +def _format_note(manifest: Any) -> str: + if not isinstance(manifest, dict) or manifest.get('format') == _FORMAT: + return '' + return (f" (export layout format {manifest.get('format')!r}; this " + f'engine reads {_FORMAT})') + + +def _malformed(path: str, detail: str, manifest: Any) -> ValueError: + return ValueError(f'The snapshot manifest at {path} {detail}; the export ' + f'is corrupt{_format_note(manifest)}.') + + +def read(connector: Any, path: str) -> Tuple[str, dict]: + filesystem, root = _location(connector, path) + manifest = _read_json(filesystem, f'{root}/{_MANIFEST}') + if manifest is None: + raise FileNotFoundError( + f'No complete snapshot export at {path}: {_MANIFEST} is missing. ' + 'Re-run GraphSnapshot.export to finish it.') + if not isinstance(manifest, dict): + raise _malformed(path, 'is not a JSON object', manifest) + if manifest.get('format') != _FORMAT: + warnings.warn( + f"Snapshot export at {path} has layout format " + f"{manifest.get('format')!r}; reading it as format {_FORMAT}.", + UserWarning, stacklevel=3) + _check_key(manifest.get('graph_key'), manifest.get('data_version'), + manifest.get('snapshot_id')) + span, files = manifest.get('range_bytes'), manifest.get('files') + if type(span) is not int or span <= 0: + raise _malformed(path, 'has an invalid range_bytes', manifest) + if not isinstance(files, list): + raise _malformed(path, 'has no file list', manifest) + for key in ('snapshot', 'environment'): + if not isinstance(manifest.get(key, {}), (dict, type(None))): + raise _malformed(path, f'has a non-object {key}', manifest) + if not isinstance(manifest.get('graph_config'), dict): + raise _malformed(path, 'has no graph_config', manifest) + seen = set() + for entry in files: + name, size, crcs = ((entry.get('path'), entry.get('size'), + entry.get('crc32')) + if isinstance(entry, dict) else (None, None, None)) + if (not isinstance(name, str) or name.startswith('/') or '\\' in name + or any(part in ('', '.', '..') for part in name.split('/')) + or name in seen or type(size) is not int or size < 0 + or not isinstance(crcs, list) + or any(type(crc) is not int for crc in crcs) + or len(crcs) != max(-(-size // span), 1)): + raise _malformed( + path, f'lists {name!r} with an invalid or repeated path, size ' + 'or checksums', manifest) + seen.add(name) + return root, manifest + + +def _download(root: str, staging: Path, client: FileSystem, + item: Tuple[str, int, int, int], stop: threading.Event) -> None: + name, offset, length, expected = item + crc = 0 + # Each open is a HEAD: pyarrow cannot open a file from a known size. + with client.open_input_file(f'{root}/index/{name}') as reader: + fd = os.open(staging / name, os.O_WRONLY) + try: + for start in range(offset, offset + length, _CHUNK): + _stopped(stop) + want = min(_CHUNK, offset + length - start) + chunk = reader.read_at(want, start) + if len(chunk) != want: + raise ValueError( + f'Snapshot file {name} in the export is shorter than ' + 'its manifest records; the export is corrupt.') + crc = zlib.crc32(chunk, crc) + os.pwrite(fd, chunk, start) + # Flush while other ranges download, not all at the end. + getattr(os, 'fdatasync', os.fsync)(fd) + finally: + os.close(fd) + if crc != expected: + raise ValueError( + f'Snapshot file {name} failed its checksum at offset {offset}; ' + 'the export is corrupt.') + + +def load_into(connector: Any, path: str, root: str, manifest: dict, + target: Path) -> None: + from diskgraph import format_versions, verify_snapshot_integrity + from kumo_core.diskgraph.snapshot import ( + DiskgraphIngestResult, + write_diskgraph_success_marker, + ) + + from kumo.engine._manifest import write_manifest + from kumo.engine._provenance import environment + from kumo.engine.graph import SNAPSHOT_MANIFEST_FILE + + span = manifest['range_bytes'] + files = [(entry['path'], entry['size'], entry['crc32']) + for entry in manifest['files']] + staging = target.with_name(f'{target.name}.loading') + shutil.rmtree(staging, ignore_errors=True) + try: + staging.mkdir(parents=True) + # Any old target stays until the rename, so the whole size is needed. + needed = sum(size for _, size, _ in files) + disk = os.statvfs(staging) + if disk.f_bavail * disk.f_frsize < needed: + raise OSError( + f'Loading this snapshot needs {needed} bytes in {staging}, ' + f'which has {disk.f_bavail * disk.f_frsize} free.') + for name, size, _ in files: + (staging / name).parent.mkdir(parents=True, exist_ok=True) + fd = os.open(staging / name, os.O_WRONLY | os.O_CREAT | os.O_EXCL) + try: + os.ftruncate(fd, size) + finally: + os.close(fd) + ranges = sorted( + ((name, offset, min(span, size - offset), crcs[index]) + for name, size, crcs in files + for index, offset in enumerate(range(0, size, span))), + key=lambda item: -item[2]) + try: + _parallel(connector, path, ranges, [item[2] for item in ranges], + partial(_download, root, staging), 'load') + except ValueError as error: + if _format_note(manifest): + raise ValueError(f'{error}{_format_note(manifest)}') from error + raise + write_diskgraph_success_marker(str(staging), + DiskgraphIngestResult.for_index(target)) + verify_snapshot_integrity(str(staging)) + _check_readable(staging, manifest) + if manifest.get('snapshot') is not None: + write_manifest( + staging / SNAPSHOT_MANIFEST_FILE, { + **manifest['snapshot'], 'loaded': { + 'formats': format_versions(), + 'environment': environment(), + } + }) + for directory in sorted({(staging / name).parent + for name, _, _ in files} | {staging}): + _fsync(directory) + shutil.rmtree(target, ignore_errors=True) + os.rename(staging, target) + _fsync(target.parent) + except BaseException: + shutil.rmtree(staging, ignore_errors=True) + raise + + +def _built_with(manifest: Dict[str, Any]) -> Tuple[Any, Any]: + recorded = manifest.get('snapshot') or {} + environment = (recorded.get('environment') or manifest.get('environment') + or {}) + return recorded.get('formats'), (environment.get('kumo_engine') + if isinstance(environment, dict) else None) + + +def _check_readable(index: Path, manifest: dict) -> None: + from diskgraph import SamplerEngine, format_versions + + from kumo.engine._version import __version__ + + try: + SamplerEngine(str(index), num_threads=1) + except Exception as error: + formats, engine = _built_with(manifest) + running = format_versions() + advice = ('The on-disk formats differ: rebuild the snapshot with ' + 'this kumo-engine, or load it with the exporting one.' + if formats is not None and formats != running else + 'Re-export with a matching kumo-engine.') + raise RuntimeError( + "This machine's DiskGraph cannot open the snapshot. It was " + f"built with DiskGraph formats {formats} by kumo-engine {engine}; " + f"installed are formats {running} and kumo-engine " + f"{__version__}{_format_note(manifest)}. {advice}") from error + + +def _fsync(path: Path) -> None: + fd = os.open(path, os.O_RDONLY) + try: + os.fsync(fd) + finally: + os.close(fd) diff --git a/packages/kumo-engine/kumo/engine/graph.py b/packages/kumo-engine/kumo/engine/graph.py index 33ede7225..c99800990 100644 --- a/packages/kumo-engine/kumo/engine/graph.py +++ b/packages/kumo-engine/kumo/engine/graph.py @@ -61,11 +61,12 @@ """ import json +import os import warnings from dataclasses import dataclass, field, replace from functools import cached_property from pathlib import Path -from typing import Any, Dict, Mapping, Sequence +from typing import Any, Dict, Mapping, Optional, Sequence from kumo_core.pquery import NativeGraph, normalize_graph from kumoapi.graph import Edge @@ -86,6 +87,7 @@ snapshot_scratch_dir, ) from kumo.engine._storage import network_storage +from kumo.engine.connector.base import Connector from kumo.engine.table import Table SNAPSHOT_MANIFEST_FILE = 'snapshot-manifest.json' @@ -203,6 +205,42 @@ def _warn_ingest_data_loss(result: Any, graph_config: Dict[str, Any]) -> None: ) +def _store() -> Any: + from kumo_core.diskgraph.snapshot import ( + DiskgraphLocalConfig, + LocalSnapshotStore, + ) + + return LocalSnapshotStore( + DiskgraphLocalConfig(data_root=str(get_scratch_dir() / 'snapshots'))) + + +def _lock(graph_key: str) -> Any: + from filelock import FileLock + + persist_dir = snapshot_scratch_dir(graph_key) / 'source_tables' + persist_dir.parent.mkdir(parents=True, exist_ok=True) + return FileLock(f'{persist_dir}.lock') + + +def _loaded(path: str) -> Optional[Any]: + r"""The index a previous load left intact at `path`, if any.""" + from diskgraph import DiskgraphCorruptionError, verify_snapshot_integrity + from kumo_core.diskgraph.snapshot import check_diskgraph_output + + marker = check_diskgraph_output(path) + if marker is None or (os.path.realpath(marker.index_path) + != os.path.realpath(path)): + return None + try: + verify_snapshot_integrity(path) + except DiskgraphCorruptionError as error: + warnings.warn(f"Reloading the damaged graph index at {path}: {error}", + UserWarning, stacklevel=3) + return None + return marker + + @dataclass(frozen=True) class GraphSnapshot: r"""The materialized artifact produced by `Graph.snapshot()`: an on-disk @@ -238,6 +276,46 @@ class GraphSnapshot: graph_config: Dict[str, Any] record_sources: bool | None = field(default=None, compare=False) + def export(self, connector: Connector, path: str) -> str: + r"""Copy the index to `//` under an + S3, GCS or file connector and return that location. Re-running + resumes.""" + from kumo.engine._snapshot_io import export + + return export(self, connector, path) + + @classmethod + def load_from_connector(cls, connector: Connector, *, path: str, + graph: Optional['Graph'] = None) -> 'GraphSnapshot': + r"""Copy the snapshot exported at `path` (the location `export` + returned) into the local snapshot store.""" + from kumo_core.diskgraph.snapshot import DiskgraphSnapshotHandle + + from kumo.engine._snapshot_io import load_into, read + + root, manifest = read(connector, path) + graph_key = manifest['graph_key'] + if graph is not None and graph.id != graph_key: + warnings.warn( + f"Snapshot at {path} was taken of graph {graph_key!r}, not of " + f"the given graph {graph.id!r}; tables, edges, schemas or " + "connectors differ from the exported graph.", + UserWarning, + stacklevel=2, + ) + target = _store().path( + DiskgraphSnapshotHandle( + graph_key=graph_key, + graph_data_version=manifest['data_version'])) + with _lock(graph_key): + result = _loaded(target) + if result is None: + load_into(connector, path, root, manifest, Path(target)) + result = _loaded(target) + return cls(id=manifest['snapshot_id'], + index_path=Path(result.index_path), + graph_config=manifest['graph_config']) + @property def manifest(self) -> SnapshotManifest | None: """The snapshot manifest stored next to the index, if any.""" @@ -433,8 +511,6 @@ def snapshot(self, *, record_sources: bool = True) -> GraphSnapshot: source as connector and table name only (no bucket, path or account) and Custom SQL as a hash only (no SQL text). """ - from filelock import FileLock - self.validate() for table in self._named_tables.values(): table.connector.validate_scratch_dir(get_scratch_dir()) @@ -442,7 +518,6 @@ def snapshot(self, *, record_sources: bool = True) -> GraphSnapshot: graph_key = self.id persist_dir = snapshot_scratch_dir(graph_key) / 'source_tables' - persist_dir.parent.mkdir(parents=True, exist_ok=True) # Guards two things, both shared across every `snapshot()` call for # this `graph_key` -- different processes, or different threads in @@ -460,7 +535,7 @@ def snapshot(self, *, record_sources: bool = True) -> GraphSnapshot: # mid-build -- a plain in-memory lock wouldn't coordinate across # processes, and a lock-file-existence mutex would leave a stale # lock behind after a crash. - with FileLock(f'{persist_dir}.lock'): + with _lock(graph_key): return self._snapshot_no_lock(graph_key, persist_dir, record_sources) @@ -479,9 +554,7 @@ def _snapshot_no_lock(self, graph_key: str, persist_dir: Path, from kumo_core.diskgraph.runner import IngestExecutionConfig from kumo_core.diskgraph.snapshot import ( DiskgraphIngestResult, - DiskgraphLocalConfig, DiskgraphSnapshotHandle, - LocalSnapshotStore, check_diskgraph_output, ) from kumo_core.sources.layout import staging_dir @@ -491,9 +564,7 @@ def _snapshot_no_lock(self, graph_key: str, persist_dir: Path, from kumo.engine.connector.source_table import checked_sql graph_config = self._graph_config - store = LocalSnapshotStore( - DiskgraphLocalConfig(data_root=str(get_scratch_dir() / - 'snapshots'))) + store = _store() table_data_versions: Dict[str, str] = {} source_paths: Dict[str, str] = {} diff --git a/packages/kumo-engine/test/conftest.py b/packages/kumo-engine/test/conftest.py index e7601b972..4b60addea 100644 --- a/packages/kumo-engine/test/conftest.py +++ b/packages/kumo-engine/test/conftest.py @@ -59,6 +59,34 @@ def identity(filesystem, path): return probes +@pytest.fixture +def graph(tmp_path): + rng = np.random.default_rng(0) + data = tmp_path / 'data' + data.mkdir() + pd.DataFrame({'ID': np.arange(50)}).to_parquet(data / 'users.parquet') + pd.DataFrame({ + 'EID': + np.arange(500), + 'USER_ID': + rng.integers(0, 50, 500), + 'TS': + pd.Timestamp('2024-01-01') + + pd.to_timedelta(rng.integers(0, 120, 500), unit='D'), + }).to_parquet(data / 'events.parquet') + connector = kumo.FileConnector(root_dir=str(data)) + return kumo.Graph( + tables={ + 'users': + kumo.Table.from_source_table(connector['users.parquet'], + primary_key='ID'), + 'events': + kumo.Table.from_source_table( + connector['events.parquet'], primary_key='EID', + time_column='TS').with_column('USER_ID', stype=Stype.ID), + }, edges=[Edge(src_table='events', fkey='USER_ID', dst_table='users')]) + + @pytest.fixture def snapshot(tmp_path): config = { diff --git a/packages/kumo-engine/test/test_snapshot_export.py b/packages/kumo-engine/test/test_snapshot_export.py new file mode 100644 index 000000000..39f0549b4 --- /dev/null +++ b/packages/kumo-engine/test/test_snapshot_export.py @@ -0,0 +1,526 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. +# All rights reserved. +# SPDX-License-Identifier: Apache-2.0 + +import json +import shutil +import threading +import warnings +import zlib +from contextlib import contextmanager +from pathlib import Path +from types import SimpleNamespace +from unittest.mock import Mock + +import pytest +from diskgraph import format_versions +from kumoapi.data_source import DataSourceType +from pyarrow.fs import LocalFileSystem, SubTreeFileSystem + +import kumo.engine as kumo +import kumo.engine._snapshot_io as snapshot_io +from kumo.engine import GraphSnapshot +from kumo.engine._scratch import get_scratch_dir + + +@pytest.fixture +def scratch(tmp_path): + previous = get_scratch_dir() + + def use(name): + kumo.configure(scratch_dir=tmp_path / name) + + use('cpu') + yield use + kumo.configure(scratch_dir=previous) + + +def _index_files(path): + return { + str(file.relative_to(path)): file.read_bytes() + for file in Path(path).rglob('*') if file.is_file() + and file.name not in ('_SUCCESS', 'snapshot-manifest.json') + } + + +def _exported_files(snapshot): + return { + name: data + for name, data in _index_files(snapshot.index_path).items() + if not name.startswith('train_tables/') + } + + +@pytest.fixture +def exports(tmp_path): + return kumo.FileConnector(root_dir=str(tmp_path / 'exports')) + + +def _export(snapshot, exports, tmp_path): + location = snapshot.export(exports, 'one') + return location, tmp_path / 'exports' / location + + +def _edit_manifest(exported, **changes): + path = exported / 'kumo_snapshot.json' + path.write_text(json.dumps({**json.loads(path.read_text()), **changes})) + + +@pytest.fixture +def workers(monkeypatch): + @contextmanager + def four(found, worker_ceiling=None): + yield 4 + + monkeypatch.setattr('kumo_core.sources.object_store.copies', four) + + +def _no_ingest(monkeypatch): + monkeypatch.setattr( + 'kumo_core.diskgraph.ingest.execute_diskgraph_ingest', + Mock(side_effect=AssertionError('ingest must not run'))) + + +def test_export_load_round_trip_relocates_and_is_reused( + tmp_path, scratch, graph, exports, monkeypatch): + monkeypatch.setattr(snapshot_io, '_CHUNK', 1024) + monkeypatch.setattr(snapshot_io, '_RANGE_BYTES', 4096) + snapshot = graph.snapshot() + location = snapshot.export(exports, 'one/') + graph_id, data_version = snapshot.id.split('@') + assert location == f'one/{graph_id}/{data_version}' + assert snapshot.export(exports, 'one') == location + exported = tmp_path / 'exports' / location + assert _index_files(exported / 'index') == _exported_files(snapshot) + manifest = json.loads((exported / 'kumo_snapshot.json').read_text()) + assert manifest['snapshot_id'] == snapshot.id + assert manifest['snapshot'] == snapshot.manifest + + shutil.rmtree(tmp_path / 'cpu') + scratch('gpu') + loaded = GraphSnapshot.load_from_connector(exports, path=location, + graph=graph) + assert loaded.id == snapshot.id + assert loaded.graph_config == snapshot.graph_config + assert loaded.index_path.is_relative_to(tmp_path / 'gpu') + assert _index_files(loaded.index_path) == _index_files(exported / 'index') + marker = json.loads((loaded.index_path / '_SUCCESS').read_text()) + assert marker['index_path'] == str(loaded.index_path) + recorded = loaded.manifest + assert recorded.pop('loaded') == { + 'formats': format_versions(), + 'environment': manifest['environment'], + } + assert recorded == manifest['snapshot'] + + _no_ingest(monkeypatch) + monkeypatch.setattr(snapshot_io, 'load_into', + Mock(side_effect=AssertionError('already loaded'))) + assert GraphSnapshot.load_from_connector(exports, path=location) == loaded + assert graph.snapshot() == loaded + + +@pytest.mark.parametrize('damage', [False, True]) +def test_in_place_index_reuse_is_unchanged(scratch, graph, monkeypatch, + damage): + built = graph.snapshot() + marker = (built.index_path / '_SUCCESS').read_bytes() + if damage: + stats = built.index_path / 'col_stats.json' + stats.write_bytes(stats.read_bytes()[:-1]) + (built.index_path / 'extra.bin').write_bytes(b'x') + _no_ingest(monkeypatch) + with warnings.catch_warnings(): + warnings.simplefilter('error') + assert graph.snapshot() == built + assert (built.index_path / '_SUCCESS').read_bytes() == marker + + +def test_moved_index_is_rebuilt_as_before(tmp_path, scratch, graph): + built = graph.snapshot() + shutil.move(tmp_path / 'cpu', tmp_path / 'moved') + scratch('moved') + rebuilt = graph.snapshot() + assert rebuilt.id == built.id + marker = json.loads((rebuilt.index_path / '_SUCCESS').read_text()) + assert marker['index_path'] == str(rebuilt.index_path) + + +def test_load_replaces_a_damaged_local_copy( + tmp_path, scratch, graph, exports): + snapshot = graph.snapshot() + location, _ = _export(snapshot, exports, tmp_path) + scratch('gpu') + loaded = GraphSnapshot.load_from_connector(exports, path=location) + stats = loaded.index_path / 'col_stats.json' + stats.write_bytes(stats.read_bytes()[:-1]) + with pytest.warns(UserWarning, match='Reloading the damaged'): + again = GraphSnapshot.load_from_connector(exports, path=location) + assert _index_files(again.index_path) == _exported_files(snapshot) + + +def _interrupt_export(snapshot, exports, monkeypatch): + stream = snapshot_io._stream + finished = threading.Event() + + def interrupted(source, size, stop, write=None): + if write is not None and source.name == 'diskgraph_config.json': + finished.wait(10) + raise OSError('connection reset') + crcs = stream(source, size, stop, write) + if write is not None and source.name == 'col_stats.json': + finished.set() + return crcs + + monkeypatch.setattr(snapshot_io, '_stream', interrupted) + monkeypatch.setattr(snapshot_io, '_ATTEMPTS', 1) + with pytest.raises(OSError, match='connection reset'): + snapshot.export(exports, 'one') + monkeypatch.setattr(snapshot_io, '_stream', stream) + monkeypatch.setattr(snapshot_io, '_ATTEMPTS', 3) + + +@pytest.mark.parametrize('change', [False, True]) +def test_interrupted_export_is_not_loadable_and_resumes( + tmp_path, scratch, graph, exports, monkeypatch, workers, change): + snapshot = graph.snapshot() + _interrupt_export(snapshot, exports, monkeypatch) + graph_id, data_version = snapshot.id.split('@') + location = f'one/{graph_id}/{data_version}' + with pytest.raises(FileNotFoundError, match='kumo_snapshot.json'): + GraphSnapshot.load_from_connector(exports, path=location) + if change: + stats = snapshot.index_path / 'col_stats.json' + data = stats.read_bytes() + stats.write_bytes(data[:-1] + bytes([data[-1] ^ 1])) + index_manifest = snapshot.index_path / '_MANIFEST.json' + index_manifest.write_bytes(index_manifest.read_bytes() + b' ') + + assert snapshot.export(exports, 'one') == location + scratch('gpu') + loaded = GraphSnapshot.load_from_connector(exports, path=location) + assert (loaded.index_path / 'col_stats.json').read_bytes() == ( + snapshot.index_path / 'col_stats.json').read_bytes() + + +def test_concurrent_identical_exports_both_succeed(tmp_path, scratch, graph, + exports, monkeypatch): + snapshot = graph.snapshot() + parallel = snapshot_io._parallel + calls = [] + + def racing(*args): + calls.append(args) + if len(calls) == 1: + assert snapshot.export(exports, 'one') == location + return parallel(*args) + + graph_id, data_version = snapshot.id.split('@') + location = f'one/{graph_id}/{data_version}' + monkeypatch.setattr(snapshot_io, '_parallel', racing) + assert snapshot.export(exports, 'one') == location + assert len(calls) == 2 + scratch('gpu') + loaded = GraphSnapshot.load_from_connector(exports, path=location) + assert _index_files(loaded.index_path) == _exported_files(snapshot) + + +def test_export_committed_by_a_late_identical_export_succeeds( + tmp_path, scratch, graph, exports, monkeypatch): + snapshot = graph.snapshot() + write = snapshot_io._write_json + raced = [] + + def racing(filesystem, path, value): + if path.endswith('kumo_snapshot.json') and not raced: + raced.append(None) + raced[0] = snapshot.export(exports, 'one') + return write(filesystem, path, value) + + monkeypatch.setattr(snapshot_io, '_write_json', racing) + location = snapshot.export(exports, 'one') + assert raced == [location] + assert not (tmp_path / 'exports' / location / '_EXPORTING').exists() + + +def test_rerunning_export_repairs_a_committed_export( + tmp_path, scratch, graph, exports): + snapshot = graph.snapshot() + location, exported = _export(snapshot, exports, tmp_path) + stats = exported / 'index/col_stats.json' + original = stats.read_bytes() + stats.write_bytes(original[:3]) + (exported / 'index/index_metadata.json').unlink() + assert snapshot.export(exports, 'one') == location + assert stats.read_bytes() == original + scratch('gpu') + loaded = GraphSnapshot.load_from_connector(exports, path=location) + assert _index_files(loaded.index_path) == _exported_files(snapshot) + + +def test_failed_load_leaves_nothing_and_restarts_cleanly( + tmp_path, scratch, graph, exports): + snapshot = graph.snapshot() + location, exported = _export(snapshot, exports, tmp_path) + stats = exported / 'index/col_stats.json' + original = stats.read_bytes() + stats.write_bytes(original[:-1] + bytes([original[-1] ^ 1])) + + scratch('gpu') + with pytest.raises(ValueError, match='checksum'): + GraphSnapshot.load_from_connector(exports, path=location) + graph_dir = tmp_path / 'gpu/snapshots' / snapshot.index_path.parent.name + assert not [path for path in graph_dir.iterdir() if path.suffix != '.lock'] + + stats.write_bytes(original) + (graph_dir / f'{snapshot.index_path.name}.loading').mkdir() + (graph_dir / f'{snapshot.index_path.name}.loading/stale').write_text('x') + loaded = GraphSnapshot.load_from_connector(exports, path=location) + assert _index_files(loaded.index_path) == _exported_files(snapshot) + assert [ + path.name for path in graph_dir.iterdir() if path.suffix != '.lock' + ] == [snapshot.index_path.name] + + +def test_load_needs_the_full_size_while_an_old_copy_remains( + tmp_path, scratch, graph, exports, monkeypatch): + snapshot = graph.snapshot() + location, exported = _export(snapshot, exports, tmp_path) + total = sum(entry['size'] for entry in json.loads( + (exported / 'kumo_snapshot.json').read_text())['files']) + scratch('gpu') + target = (tmp_path / 'gpu/snapshots' / snapshot.index_path.parent.name / + snapshot.index_path.name) + target.mkdir(parents=True) + (target / 'stale').write_bytes(b'x' * total) + monkeypatch.setattr( + snapshot_io.os, 'statvfs', + lambda path: SimpleNamespace(f_frsize=1, f_bavail=total - 1)) + with pytest.raises(OSError, match=f'needs {total} bytes'): + GraphSnapshot.load_from_connector(exports, path=location) + assert (target / 'stale').is_file() + + +@pytest.mark.parametrize('field, value', [ + ('data_version', '../../victim'), + ('data_version', '/tmp/victim'), + ('graph_key', '..'), + ('files', [{ + 'path': '../../victim/x', + 'size': 1, + 'crc32': [0] + }]), +]) +def test_load_rejects_a_hostile_manifest(tmp_path, scratch, graph, exports, + field, value): + snapshot = graph.snapshot() + location, exported = _export(snapshot, exports, tmp_path) + victim = tmp_path / 'victim' + victim.mkdir() + (victim / 'keep').write_text('x') + _edit_manifest(exported, **{field: value}) + scratch('gpu/a/b') + with pytest.raises(ValueError): + GraphSnapshot.load_from_connector(exports, path=location) + assert (victim / 'keep').read_text() == 'x' + + +@pytest.mark.parametrize('edit', [ + lambda manifest: manifest.pop('files'), + lambda manifest: manifest.pop('range_bytes'), + lambda manifest: manifest.pop('graph_config'), + lambda manifest: manifest.update(snapshot=[1]), + lambda manifest: manifest['files'].append('index_metadata.json'), + lambda manifest: manifest['files'][0].pop('crc32'), + lambda manifest: manifest['files'].append(manifest['files'][0]), +]) +def test_load_rejects_a_malformed_manifest_with_value_error( + tmp_path, scratch, graph, exports, edit): + snapshot = graph.snapshot() + location, exported = _export(snapshot, exports, tmp_path) + path = exported / 'kumo_snapshot.json' + manifest = json.loads(path.read_text()) + edit(manifest) + path.write_text(json.dumps(manifest)) + scratch('gpu') + with pytest.raises(ValueError, match='export is corrupt'): + GraphSnapshot.load_from_connector(exports, path=location) + path.write_text('[]') + with pytest.raises(ValueError, match='not a JSON object'): + GraphSnapshot.load_from_connector(exports, path=location) + + +def test_load_records_differences_instead_of_refusing( + tmp_path, scratch, graph, exports, monkeypatch): + exporter_formats = {**format_versions(), 'layout': -1} + monkeypatch.setattr('diskgraph.format_versions', lambda: exporter_formats) + snapshot = graph.snapshot() + monkeypatch.undo() + location, exported = _export(snapshot, exports, tmp_path) + _edit_manifest(exported, format=2) + other = kumo.Graph(tables={'users': graph.tables['users']}) + scratch('gpu') + with pytest.warns(UserWarning) as caught: + loaded = GraphSnapshot.load_from_connector(exports, path=location, + graph=other) + messages = ' '.join(str(warning.message) for warning in caught) + assert 'layout format 2' in messages and 'was taken of graph' in messages + assert loaded.id == snapshot.id + assert loaded.manifest['formats'] == exporter_formats + assert loaded.manifest['loaded']['formats'] == format_versions() + + +def test_export_refuses_a_path_holding_other_data(tmp_path, scratch, graph, + exports): + snapshot = graph.snapshot() + graph_id, data_version = snapshot.id.split('@') + occupied = tmp_path / 'exports/occupied' / graph_id / data_version + occupied.mkdir(parents=True) + (occupied / 'other.parquet').write_bytes(b'x') + with pytest.raises(ValueError, match='not empty'): + snapshot.export(exports, 'occupied') + + _, exported = _export(snapshot, exports, tmp_path) + _edit_manifest(exported, index_manifest='other') + with pytest.raises(ValueError, match='differs from this one'): + snapshot.export(exports, 'one') + assert (exported / 'index/col_stats.json').is_file() + + +@pytest.mark.parametrize('kind, reason', [ + ('SNOWFLAKE', 'Snowflake stages'), + ('DATABRICKS', 'Unity Catalog Volume'), + ('BIGQUERY', 'BigQuery'), +]) +def test_warehouse_connectors_are_not_supported(scratch, graph, kind, reason): + connector = type(f'{kind.title()}Connector', (), { + 'source_type': DataSourceType[kind], + })() + with pytest.raises(NotImplementedError, match=reason): + graph.snapshot().export(connector, 'x') + with pytest.raises(NotImplementedError, match=reason): + GraphSnapshot.load_from_connector(connector, path='x') + + +def test_interrupted_load_joins_workers_before_cleaning_up( + tmp_path, scratch, graph, exports, monkeypatch, workers): + snapshot = graph.snapshot() + location, _ = _export(snapshot, exports, tmp_path) + download = snapshot_io._download + running = threading.Event() + + def interrupted(root, staging, client, item, stop): + if item[0] == 'col_stats.json': + running.wait(10) + raise KeyboardInterrupt + running.set() + stop.wait(1) + download(root, staging, client, item, stop) + + monkeypatch.setattr(snapshot_io, '_download', interrupted) + scratch('gpu') + with pytest.raises(KeyboardInterrupt): + GraphSnapshot.load_from_connector(exports, path=location) + graph_dir = tmp_path / 'gpu/snapshots' / snapshot.index_path.parent.name + assert not [path for path in graph_dir.iterdir() if path.suffix != '.lock'] + + +def test_load_explains_an_index_the_installed_diskgraph_cannot_open( + tmp_path, scratch, graph, exports): + snapshot = graph.snapshot() + location, exported = _export(snapshot, exports, tmp_path) + metadata = exported / 'index/index_metadata.json' + garbage = b'{' * metadata.stat().st_size + metadata.write_bytes(garbage) + manifest = json.loads((exported / 'kumo_snapshot.json').read_text()) + for entry in manifest['files']: + if entry['path'] == 'index_metadata.json': + entry['crc32'] = [zlib.crc32(garbage)] + manifest['snapshot']['formats'] = {'layout': -1} + manifest['snapshot']['environment']['kumo_engine'] = '0.0.1' + manifest['format'] = 2 + (exported / 'kumo_snapshot.json').write_text(json.dumps(manifest)) + + scratch('gpu') + with pytest.raises(RuntimeError, match=r"formats \{'layout': -1\} by " + r'kumo-engine 0\.0\.1; installed are formats .*' + r'export layout format 2; this engine reads 1\)\. ' + 'The on-disk formats differ: rebuild'): + GraphSnapshot.load_from_connector(exports, path=location) + + +def test_load_ignores_unknown_keys_and_a_missing_snapshot_manifest( + tmp_path, scratch, graph, exports): + snapshot = graph.snapshot() + location, exported = _export(snapshot, exports, tmp_path) + path = exported / 'kumo_snapshot.json' + manifest = json.loads(path.read_text()) + manifest['added_later'] = {'x': 1} + manifest['snapshot'] = None + for entry in manifest['files']: + entry['added_later'] = 1 + path.write_text(json.dumps(manifest)) + scratch('gpu') + loaded = GraphSnapshot.load_from_connector(exports, path=location) + assert loaded.id == snapshot.id + assert loaded.manifest is None + + +@pytest.mark.parametrize('scheme', ['s3', 'gs']) +def test_object_store_round_trip(tmp_path, scratch, graph, monkeypatch, + scheme): + storage = tmp_path / 'storage' + storage.mkdir() + bucket = SubTreeFileSystem(str(storage), LocalFileSystem()) + options = [] + + def s3(bucket_name, *, options=None, **kwargs): + options_seen.append(options) + return bucket + + options_seen = options + monkeypatch.setattr('kumo_s3.filesystem', s3) + + class Gcs(SubTreeFileSystem): + def __init__(self): + super().__init__(str(storage), LocalFileSystem()) + + monkeypatch.setattr('kumo_gcs.backend.fs.GcsFileSystem', Gcs) + + snapshot = graph.snapshot() + connector = kumo.S3Connector() if scheme == 's3' else kumo.GCSConnector() + location = snapshot.export(connector, f'{scheme}://bucket/snapshots/') + graph_id, data_version = snapshot.id.split('@') + assert location == f'{scheme}://bucket/snapshots/{graph_id}/{data_version}' + assert (storage / 'bucket/snapshots' / graph_id / data_version / + 'kumo_snapshot.json').is_file() + scratch('gpu') + loaded = GraphSnapshot.load_from_connector(connector, path=location, + graph=graph) + assert loaded.id == snapshot.id + assert _index_files(loaded.index_path) == _exported_files(snapshot) + if scheme == 's3': + assert options and all( + option['allow_delayed_open'] and not option['background_writes'] + for option in options) + + +def test_transfer_renews_an_expired_client(tmp_path, scratch, graph, exports, + monkeypatch): + snapshot = graph.snapshot() + location, _ = _export(snapshot, exports, tmp_path) + download = snapshot_io._download + failed = [] + + def expiring(root, staging, client, item, stop): + if item[0] == 'col_stats.json': + if not failed: + failed.append(client) + raise OSError('AWS Error ACCESS_DENIED: ExpiredToken') + assert client is not failed[0] + return download(root, staging, client, item, stop) + + monkeypatch.setattr(snapshot_io, '_download', expiring) + scratch('gpu') + GraphSnapshot.load_from_connector(exports, path=location) + assert failed diff --git a/packages/kumo-engine/test/test_snapshot_export_live.py b/packages/kumo-engine/test/test_snapshot_export_live.py new file mode 100644 index 000000000..9628cedbf --- /dev/null +++ b/packages/kumo-engine/test/test_snapshot_export_live.py @@ -0,0 +1,56 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. +# All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +"""Snapshot export and load through real S3 and GCS; each store is skipped +unless its writable root is set.""" + +import contextlib +import os +import uuid + +import pytest +from pyarrow.fs import FileSelector + +import kumo.engine as kumo +from kumo.engine._scratch import get_scratch_dir +from kumo.engine._snapshot_io import _location + +ROOTS = { + 's3': os.environ.get('KUMO_SNAPSHOT_LIVE_S3_ROOT'), + 'gs': os.environ.get('KUMO_SNAPSHOT_LIVE_GCS_ROOT'), +} + + +@pytest.mark.parametrize('scheme', ['s3', 'gs']) +def test_snapshot_round_trip_through_object_store(tmp_path, graph, scheme): + root = ROOTS[scheme] + if not root: + pytest.skip(f'LIVE SNAPSHOT {scheme.upper()} NOT RUN: set ' + f"KUMO_SNAPSHOT_LIVE_{'S3' if scheme == 's3' else 'GCS'}" + '_ROOT to a writable prefix') + connector = kumo.S3Connector() if scheme == 's3' else kumo.GCSConnector() + path = f"{root.rstrip('/')}/engine-snapshot-{uuid.uuid4().hex[:12]}" + previous = get_scratch_dir() + try: + kumo.configure(scratch_dir=tmp_path / 'cpu') + snapshot = graph.snapshot() + location = snapshot.export(connector, path) + kumo.configure(scratch_dir=tmp_path / 'gpu') + loaded = kumo.GraphSnapshot.load_from_connector( + connector, path=location, graph=graph) + finally: + kumo.configure(scratch_dir=previous) + filesystem, prefix = _location(connector, path) + filesystem.delete_dir_contents(prefix, missing_dir_ok=True) + with contextlib.suppress(OSError): + filesystem.delete_dir(prefix) + assert not filesystem.get_file_info( + FileSelector(prefix, allow_not_found=True)) + assert loaded.id == snapshot.id + for file in snapshot.index_path.rglob('*'): + relative = file.relative_to(snapshot.index_path) + if (file.is_file() + and file.name not in ('_SUCCESS', 'snapshot-manifest.json') + and relative.parts[0] != 'train_tables'): + assert (loaded.index_path / relative).read_bytes() == \ + file.read_bytes() diff --git a/packages/kumo-s3/src/kumo_s3/backend.py b/packages/kumo-s3/src/kumo_s3/backend.py index dfd31df9d..2b47fdfde 100644 --- a/packages/kumo-s3/src/kumo_s3/backend.py +++ b/packages/kumo-s3/src/kumo_s3/backend.py @@ -1,7 +1,7 @@ # SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. # All rights reserved. # SPDX-License-Identifier: Apache-2.0 -from typing import Any, Optional, Union +from typing import Any, Mapping, Optional, Union import kumo_s3 from kumo_core.sources.errors import ReconnectRequiredError @@ -13,7 +13,11 @@ ) from kumo_core.sources.principals import IdentityRef, Principal from kumo_core.sources.types import ReadMode -from kumo_s3.session import anonymous_filesystem, arrow_connection_options +from kumo_s3.session import ( + anonymous_filesystem, + arrow_connection_options, + retry_strategy, +) from kumoapi.data_source import ( DataSourceType, S3AccessKeyAuthentication, @@ -100,16 +104,25 @@ def _source_access(self, connector: Any, bucket: str, if connection else None) def _filesystem(self, connector: Any, bucket: str, - region: Optional[str]) -> S3FileSystem: + region: Optional[str], + options: Optional[Mapping[str, Any]] = None + ) -> S3FileSystem: r"""A ready filesystem is taken as it is: it may address a service that is not AWS at all, and probing its bucket name against AWS would - answer for somebody else's bucket. + answer for somebody else's bucket. ``options`` are extra + ``S3FileSystem`` keywords. """ session, allow_anonymous, connection = self._resolved_session( connector, bucket) if isinstance(session, S3FileSystem): return session + arrow_options = { + **(arrow_connection_options(connection.endpoint_url, + connection.addressing_style) + if connection else {}), + **(options or {}) + } with kumo_s3.translated(f'Signing for {bucket}', table=bucket): _require_credentials(session) # Resolve through the package so applications/tests replacing its @@ -119,9 +132,7 @@ def _filesystem(self, connector: Any, bucket: str, default_region=(connection.region or region) if connection else region, endpoint_url=connection.endpoint_url if connection else None, - options=arrow_connection_options(connection.endpoint_url, - connection.addressing_style) - if connection else None) + options=arrow_options or None) if resolved is not None: return resolved if not allow_anonymous: @@ -141,11 +152,13 @@ def _filesystem(self, connector: Any, bucket: str, if connection is not None: return anonymous_filesystem( bucket, region=connection.region or region - or session.region_name, - options=arrow_connection_options(connection.endpoint_url, - connection.addressing_style)) + or session.region_name, options=arrow_options) from pyarrow.fs import FileSystem filesystem, _ = FileSystem.from_uri(f's3://{bucket}') + if options: + return S3FileSystem(region=filesystem.region, + retry_strategy=retry_strategy(), + **options) return filesystem diff --git a/packages/kumo-s3/src/kumo_s3/sink.py b/packages/kumo-s3/src/kumo_s3/sink.py index 5e2a5a2d8..eded2e8a7 100644 --- a/packages/kumo-s3/src/kumo_s3/sink.py +++ b/packages/kumo-s3/src/kumo_s3/sink.py @@ -14,5 +14,14 @@ class S3SinkBackend(S3Sessions, ObjectStoreSinkBackend): """ source_type = DataSourceType.S3 + def filesystem(self, connector, path, *, parallel_uploads=False): + bucket, resolved, region = self._resolved(connector, path) + options = ({ + 'allow_delayed_open': True, + 'background_writes': False + } if parallel_uploads else None) + return (self._filesystem(connector, bucket, region, options), + resolved.rstrip('/')) + def __repr__(self) -> str: return f'{type(self).__name__}(identity={self._identity!r})' diff --git a/packages/kumo-s3/tests/test_sink.py b/packages/kumo-s3/tests/test_sink.py new file mode 100644 index 000000000..a0d45db50 --- /dev/null +++ b/packages/kumo-s3/tests/test_sink.py @@ -0,0 +1,49 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. +# All rights reserved. +# SPDX-License-Identifier: Apache-2.0 + +from __future__ import annotations + +from types import SimpleNamespace + +import kumo_s3 +import pytest +from fakes import FakeSession +from kumo_s3 import backend +from kumo_s3.sink import S3SinkBackend +from kumoapi.data_source import ( + S3AnyURIConnectorTarget, + S3ConnectorResourceConfig, +) + + +@pytest.mark.parametrize('credentials', ['default', None]) +def test_parallel_uploads_reach_every_filesystem_construction( + monkeypatch, credentials): + built = [] + + class Record: + def __init__(self, **kwargs): + built.append(kwargs) + + monkeypatch.setattr('pyarrow.fs.S3FileSystem', Record) + monkeypatch.setattr(backend, 'S3FileSystem', Record) + monkeypatch.setattr(kumo_s3, 'ambient_session', + lambda: FakeSession(credentials=credentials)) + monkeypatch.setattr('kumo_s3.session.bucket_region', lambda bucket: 'x') + monkeypatch.setattr( + 'pyarrow.fs.FileSystem', + SimpleNamespace(from_uri=lambda uri: + (SimpleNamespace(region='us-west-2'), ''))) + connector = SimpleNamespace( + id='connector', identity=None, identity_id=None, + config=S3ConnectorResourceConfig(target=S3AnyURIConnectorTarget())) + + filesystem, path = S3SinkBackend().filesystem( + connector, 's3://bucket/prefix/', parallel_uploads=True) + + assert isinstance(filesystem, Record) + assert path == 'bucket/prefix' + assert built[-1]['allow_delayed_open'] is True + assert built[-1]['background_writes'] is False + assert 'retry_strategy' in built[-1] From 62b034bfa435dc026c5e159df320a86db27ce1e6 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Tue, 20 Oct 2026 23:07:08 +0000 Subject: [PATCH 047/123] Ship the object-store sink in the public connector image The connector image's build context is an allowlist that left out kumo_core/object_store_sink.py, so the new kumo-s3 sink test failed to import it and the s3 suite stopped at collection. Admit the module. Verified by running the s3 suite against a tree filtered by the allowlist: 49 passed (collection error reproduced without the entry). Co-Authored-By: Claude Opus 5.5 --- tests/public/Dockerfile.dockerignore | 2 ++ 1 file changed, 2 insertions(+) diff --git a/tests/public/Dockerfile.dockerignore b/tests/public/Dockerfile.dockerignore index 4bedfe32e..03a5e01fb 100644 --- a/tests/public/Dockerfile.dockerignore +++ b/tests/public/Dockerfile.dockerignore @@ -12,6 +12,8 @@ !packages/kumo-core/src/kumo_core/csv_rules.py !packages/kumo-core/src/kumo_core/custom_sql.py !packages/kumo-core/src/kumo_core/artifact_staging.py +# The S3 sink tests import the shared object-store sink. +!packages/kumo-core/src/kumo_core/object_store_sink.py # Model registries validate bundles through the portable artifact contract. !packages/kumo-core/src/kumo_core/artifacts.py !packages/kumo-core/src/kumo_core/config.py From 4cd042e90e4a4fc66940e59ad6aadc510d597650 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Tue, 20 Oct 2026 23:46:37 +0000 Subject: [PATCH 048/123] Report source changes since a snapshot and warn on stale loads A loaded snapshot carried the source versions it was built from, but a scoring job had no cheap way to tell whether its sources had moved on. GraphSnapshot.source_changes(graph) asks each table's connector for its metadata-only version stamp (the value Graph.snapshot() records) and compares it with the manifest: unchanged, changed, or unknown for view and fallback hour stamps, Custom SQL, missing or reconstructed manifests and read errors. It never stages data and never raises. load_from_connector(..., graph=...) warns once naming changed tables. Docs add export routes for Databricks Volumes, Snowflake stage volumes and external volumes or stages, and the freshness rule. Verified with new tests (unchanged/changed, unknown cases, no staging calls, warning only with graph) plus the export and manifest suites. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/README.md | 41 ++++++- .../kumo-engine/kumo/engine/_snapshot_io.py | 10 +- packages/kumo-engine/kumo/engine/graph.py | 94 ++++++++++++++- .../kumo-engine/test/test_snapshot_export.py | 107 ++++++++++++++++++ 4 files changed, 242 insertions(+), 10 deletions(-) diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index fa033fdd1..33c00ed3c 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -154,8 +154,45 @@ loaded copy shows the DiskGraph formats it was built with and, under `loaded`, the formats of the machine that loaded it. Load does not compare versions; an index this DiskGraph cannot open fails with both sets of formats in the error. Load only from paths whose writers you trust: checksums detect corruption, not -tampering. Snowflake stages and Databricks connectors are not supported; for a -Unity Catalog Volume, use the S3 or GCS connector on its backing path. +tampering. + +Snowflake, Databricks and BigQuery connectors cannot hold an export. Instead: + +- On Databricks compute, use a `FileConnector` on a Unity Catalog Volume: + `FileConnector(root_dir="/Volumes///")`. +- In SPCS services, or Snowflake ML Jobs where a stage volume is mounted, use a + `FileConnector` on that stage volume (not yet tested with multi-GB indexes). +- Otherwise, use the S3 or GCS connector on the bucket behind an external + volume or external stage. + +`snapshot.source_changes(graph)` reports, per table alias, whether the source +moved on since the snapshot was built. It asks each connector for the same +metadata-only version stamp the snapshot recorded (a catalog read or a file +listing) and never reads or stages rows: + +```python +{"users": {"status": "unchanged", "recorded": "1792539971", "current": "1792539971"}, + "items": {"status": "unknown", "recorded": "1792537200", "current": "1792537200"}, + "events": {"status": "changed", "recorded": "1792539971", "current": "1792539974"}} +``` + +The status is `unknown` when there is nothing reliable to compare: the table +is missing from the manifest, the manifest is absent or was reconstructed for +an index built before manifests, the version could not be read, the table is +Custom SQL (its version folds in a 24-hour window, so it cannot separate a data +change from the window rolling over), or either version is an hour-aligned +timestamp or `-1`. Views and sources without a readable version are stamped +with the current hour, so they always report `unknown`; a real version that +happens to fall exactly on the hour does too. A file-connector table that is a +folder holding Parquet or CSV files under a `_`- or `.`-prefixed path (a Delta +`_delta_log` checkpoint, a leftover `_temporary/` part) reports `changed` on +every call: its listing stamp counts those files, while the stamp recorded at +build time does not. +`GraphSnapshot.load_from_connector(..., graph=graph)` makes the same metadata +call for every table, so the loading machine needs source credentials, and +warns once naming the `changed` tables. A scoring job should either build a fresh snapshot or load +one whose `source_changes` are all `unchanged`; loading an older snapshot on +purpose, for example to reproduce past scores, is legitimate. The return values expose the retained files directly: diff --git a/packages/kumo-engine/kumo/engine/_snapshot_io.py b/packages/kumo-engine/kumo/engine/_snapshot_io.py index ef38e39dc..39f5a9709 100644 --- a/packages/kumo-engine/kumo/engine/_snapshot_io.py +++ b/packages/kumo-engine/kumo/engine/_snapshot_io.py @@ -29,9 +29,13 @@ _KEY = re.compile('[0-9a-f]{64}') _PROGRESS_SECONDS = 30 _UNSUPPORTED = { - 'SNOWFLAKE': 'Snowflake stages are not supported', - 'DATABRICKS': ('for a Unity Catalog Volume, use an S3Connector or ' - "GCSConnector on the volume's backing cloud path"), + 'SNOWFLAKE': ('Snowflake stages are not supported; in SPCS services, or ' + 'ML Jobs where a stage volume is mounted, use a ' + 'FileConnector on that volume'), + 'DATABRICKS': ('for a Unity Catalog Volume, use a FileConnector on ' + '/Volumes/// from Databricks ' + "compute, or an S3Connector or GCSConnector on the " + "volume's backing cloud path"), 'BIGQUERY': 'BigQuery cannot hold files', } diff --git a/packages/kumo-engine/kumo/engine/graph.py b/packages/kumo-engine/kumo/engine/graph.py index c99800990..bc4f0d739 100644 --- a/packages/kumo-engine/kumo/engine/graph.py +++ b/packages/kumo-engine/kumo/engine/graph.py @@ -241,6 +241,39 @@ def _loaded(path: str) -> Optional[Any]: return marker +_HOUR_SECONDS = 3600 + + +def _comparable(stamp: Any) -> bool: + r"""Hour-aligned epoch seconds are what `hour_version()` stamps views and + unversioned sources with; `-1` marks an undated source.""" + return (isinstance(stamp, str) and stamp != '-1' + and not (stamp.isdigit() and int(stamp) % _HOUR_SECONDS == 0)) + + +def _source_change(table: Table, recorded: Any) -> Dict[str, Any]: + from kumoapi.source_table import CustomSQLSourceTable + + recorded = recorded if isinstance(recorded, dict) else {} + before, current, same_source = recorded.get('version'), None, False + try: + source = table.definition.source_table + if not isinstance(source, CustomSQLSourceTable): + connector = table.connector + same_source = recorded.get('source') == ( + f'{connector.source_type}:{table.table_name}') + stamp = connector.source_backend.get_data_version( + connector, table.table_name) + current = None if stamp is None else str(stamp) + except Exception: + current = None + if not (same_source and _comparable(before) and _comparable(current)): + status = 'unknown' + else: + status = 'unchanged' if before == current else 'changed' + return {'status': status, 'recorded': before, 'current': current} + + @dataclass(frozen=True) class GraphSnapshot: r"""The materialized artifact produced by `Graph.snapshot()`: an on-disk @@ -279,7 +312,15 @@ class GraphSnapshot: def export(self, connector: Connector, path: str) -> str: r"""Copy the index to `//` under an S3, GCS or file connector and return that location. Re-running - resumes.""" + resumes. + + Where there is no dedicated connector: on Databricks compute, use a + `FileConnector` rooted at `/Volumes///`; in + SPCS services, or ML Jobs where a stage volume is mounted, a + `FileConnector` on that stage volume (not yet tested with multi-GB + indexes); otherwise the S3 or + GCS connector on the bucket behind an external volume or stage. + """ from kumo.engine._snapshot_io import export return export(self, connector, path) @@ -288,7 +329,14 @@ def export(self, connector: Connector, path: str) -> str: def load_from_connector(cls, connector: Connector, *, path: str, graph: Optional['Graph'] = None) -> 'GraphSnapshot': r"""Copy the snapshot exported at `path` (the location `export` - returned) into the local snapshot store.""" + returned) into the local snapshot store. + + Given `graph`, reads each table's source version (one metadata call + per table, so this machine needs source credentials) and warns once + if any changed since the snapshot was built (see `source_changes`). A scoring job should + build a fresh snapshot or load one whose `source_changes` are all + `unchanged`, unless it deliberately scores an older snapshot. + """ from kumo_core.diskgraph.snapshot import DiskgraphSnapshotHandle from kumo.engine._snapshot_io import load_into, read @@ -312,9 +360,45 @@ def load_from_connector(cls, connector: Connector, *, path: str, if result is None: load_into(connector, path, root, manifest, Path(target)) result = _loaded(target) - return cls(id=manifest['snapshot_id'], - index_path=Path(result.index_path), - graph_config=manifest['graph_config']) + snapshot = cls(id=manifest['snapshot_id'], + index_path=Path(result.index_path), + graph_config=manifest['graph_config']) + if graph is not None: + changed = [ + alias + for alias, change in snapshot.source_changes(graph).items() + if change['status'] == 'changed' + ] + if changed: + warnings.warn( + f"Snapshot at {path} predates the current data of " + f"source table(s) {', '.join(changed)}; see " + "`snapshot.source_changes(graph)`.", + UserWarning, + stacklevel=2, + ) + return snapshot + + def source_changes(self, graph: 'Graph') -> Dict[str, Dict[str, Any]]: + r"""Compare each of `graph`'s tables' current source version, read + from metadata only, with the version this snapshot recorded. Never + raises.""" + try: + manifest = self.manifest + recorded = ({} if not manifest or manifest.get('reconstructed') else + manifest['parents']['source_tables']) + except Exception: + recorded = {} + if not isinstance(recorded, dict): + recorded = {} + try: + tables = graph._named_tables + except Exception: + return {} + return { + alias: _source_change(table, recorded.get(alias)) + for alias, table in tables.items() + } @property def manifest(self) -> SnapshotManifest | None: diff --git a/packages/kumo-engine/test/test_snapshot_export.py b/packages/kumo-engine/test/test_snapshot_export.py index 39f0549b4..4c1f71cfa 100644 --- a/packages/kumo-engine/test/test_snapshot_export.py +++ b/packages/kumo-engine/test/test_snapshot_export.py @@ -3,6 +3,7 @@ # SPDX-License-Identifier: Apache-2.0 import json +import os import shutil import threading import warnings @@ -12,6 +13,7 @@ from types import SimpleNamespace from unittest.mock import Mock +import pandas as pd import pytest from diskgraph import format_versions from kumoapi.data_source import DataSourceType @@ -524,3 +526,108 @@ def expiring(root, staging, client, item, stop): scratch('gpu') GraphSnapshot.load_from_connector(exports, path=location) assert failed + + +def _set_mtime(path, seconds): + os.utime(path, (seconds, seconds)) + + +def _rewrite_events(data): + frame = pd.read_parquet(data / 'events.parquet') + frame.iloc[::-1].to_parquet(data / 'events.parquet') + _set_mtime(data / 'events.parquet', 1_700_009_123) + + +@pytest.fixture +def dated(tmp_path, graph): + data = tmp_path / 'data' + for name in ('users', 'events'): + _set_mtime(data / f'{name}.parquet', 1_700_000_123) + return data + + +def _forbid_staging(monkeypatch): + from kumo_core.sources.object_store import ObjectStoreSourceReader + + from kumo.engine.connector.file import _FileSourceBackend + + fail = Mock(side_effect=AssertionError('must not stage')) + monkeypatch.setattr('kumo_core.sources.prepare.read_table', fail) + monkeypatch.setattr(ObjectStoreSourceReader, 'prepare', fail) + monkeypatch.setattr(_FileSourceBackend, 'prepare_ingest', fail) + + +def test_source_changes_reads_stamps_without_staging( + scratch, graph, dated, monkeypatch): + snapshot = graph.snapshot() + _forbid_staging(monkeypatch) + unchanged = {'status': 'unchanged', 'recorded': '1700000123', + 'current': '1700000123'} + assert snapshot.source_changes(graph) == {'users': unchanged, + 'events': unchanged} + _rewrite_events(dated) + assert snapshot.source_changes(graph) == { + 'users': unchanged, + 'events': {'status': 'changed', 'recorded': '1700000123', + 'current': '1700009123'}, + } + + +def test_source_changes_unknown_for_hour_stamps_and_read_errors( + scratch, graph, dated, monkeypatch): + from kumo.engine.connector.file import _FileSourceBackend + + _set_mtime(dated / 'users.parquet', 1_700_002_800) + snapshot = graph.snapshot() + stamp = _FileSourceBackend.get_data_version + + def failing(self, connector, table_name, project_id=None): + if table_name == 'events.parquet': + raise OSError('listing failed') + return stamp(self, connector, table_name) + + monkeypatch.setattr(_FileSourceBackend, 'get_data_version', failing) + assert snapshot.source_changes(graph) == { + 'users': {'status': 'unknown', 'recorded': '1700002800', + 'current': '1700002800'}, + 'events': {'status': 'unknown', 'recorded': '1700000123', + 'current': None}, + } + + +@pytest.mark.parametrize('edit', ['absent', 'reconstructed', 'missing', + 'malformed']) +def test_source_changes_unknown_without_a_recorded_version( + scratch, graph, dated, edit): + snapshot = graph.snapshot() + path = snapshot.index_path / 'snapshot-manifest.json' + manifest = json.loads(path.read_text()) + if edit == 'absent': + path.unlink() + elif edit == 'reconstructed': + path.write_text(json.dumps({**manifest, 'reconstructed': True})) + elif edit == 'missing': + del manifest['parents']['source_tables']['users'] + path.write_text(json.dumps(manifest)) + else: + path.write_text(json.dumps({**manifest, 'parents': []})) + changes = snapshot.source_changes(graph) + assert changes['users'] == {'status': 'unknown', 'recorded': None, + 'current': '1700000123'} + assert changes['events']['status'] == ( + 'unchanged' if edit == 'missing' else 'unknown') + + +def test_load_warns_only_with_graph_and_only_for_changed_tables( + tmp_path, scratch, graph, dated, exports): + location, _ = _export(graph.snapshot(), exports, tmp_path) + scratch('gpu') + with warnings.catch_warnings(): + warnings.simplefilter('error') + GraphSnapshot.load_from_connector(exports, path=location, graph=graph) + _rewrite_events(dated) + GraphSnapshot.load_from_connector(exports, path=location) + with pytest.warns(UserWarning) as caught: + GraphSnapshot.load_from_connector(exports, path=location, graph=graph) + [message] = [str(warning.message) for warning in caught] + assert 'source table(s) events;' in message From dee6bb2236c42f4483890d145052aae87c5173ea Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 07:44:14 +0000 Subject: [PATCH 049/123] Match source changes on the recorded connector and location The snapshot manifest now records each table as connector, full location and version, so source_changes matches the current table against the recorded connector type and location instead of the old ":" string. A table at a different location still reports unknown. Verified with test_snapshot_export.py and test_snapshot_manifest.py. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/kumo/engine/graph.py | 9 ++++++--- packages/kumo-engine/test/test_snapshot_export.py | 11 +++++++++++ 2 files changed, 17 insertions(+), 3 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/graph.py b/packages/kumo-engine/kumo/engine/graph.py index bc4f0d739..250dc1d2d 100644 --- a/packages/kumo-engine/kumo/engine/graph.py +++ b/packages/kumo-engine/kumo/engine/graph.py @@ -80,7 +80,7 @@ stamp, write_manifest, ) -from kumo.engine._provenance import source_table +from kumo.engine._provenance import source_location, source_table from kumo.engine._scratch import ( fingerprint, get_scratch_dir, @@ -260,8 +260,11 @@ def _source_change(table: Table, recorded: Any) -> Dict[str, Any]: source = table.definition.source_table if not isinstance(source, CustomSQLSourceTable): connector = table.connector - same_source = recorded.get('source') == ( - f'{connector.source_type}:{table.table_name}') + kind = connector.source_type + same_source = (recorded.get('connector'), + recorded.get('location')) == ( + str(getattr(kind, 'value', kind)), + source_location(connector, table.table_name)) stamp = connector.source_backend.get_data_version( connector, table.table_name) current = None if stamp is None else str(stamp) diff --git a/packages/kumo-engine/test/test_snapshot_export.py b/packages/kumo-engine/test/test_snapshot_export.py index 4c1f71cfa..a54ba9d0c 100644 --- a/packages/kumo-engine/test/test_snapshot_export.py +++ b/packages/kumo-engine/test/test_snapshot_export.py @@ -618,6 +618,17 @@ def test_source_changes_unknown_without_a_recorded_version( 'unchanged' if edit == 'missing' else 'unknown') +def test_source_changes_unknown_for_a_moved_table(scratch, graph, dated): + snapshot = graph.snapshot() + path = snapshot.index_path / 'snapshot-manifest.json' + manifest = json.loads(path.read_text()) + manifest['parents']['source_tables']['users']['location'] += '.old' + path.write_text(json.dumps(manifest)) + changes = snapshot.source_changes(graph) + assert changes['users']['status'] == 'unknown' + assert changes['events']['status'] == 'unchanged' + + def test_load_warns_only_with_graph_and_only_for_changed_tables( tmp_path, scratch, graph, dated, exports): location, _ = _export(graph.snapshot(), exports, tmp_path) From 59d62faf063468c3dc319eeebfd476beac305f7e Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 08:12:06 +0000 Subject: [PATCH 050/123] Keep an existing export when a rebuilt snapshot is re-exported A snapshot rebuilt on another machine has the same id but a different DiskGraph _MANIFEST.json (run-specific paths and timings), so exporting it to a location already holding that id raised "differs from this one". Exporting a loaded snapshot also copied its `loaded` block into the export record, and corrupt-export errors did not say how to recover. A committed export with the same snapshot id is now final: export logs at info and returns its location; the fingerprint only decides whether a partial upload resumes or a committed one is repaired. Only a different id is refused. The export record drops `loaded`; corrupt and checksum errors name the location to delete and re-export. README and source_changes document that a table now read from another connector or location is `unknown`. Verified: new rebuild-and-re-export test plus the existing export and manifest suites; the reviewer's rebuild script now re-exports and loads. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/README.md | 5 +- .../kumo-engine/kumo/engine/_snapshot_io.py | 62 ++++++++++++------- packages/kumo-engine/kumo/engine/graph.py | 6 +- .../kumo-engine/test/test_snapshot_export.py | 29 +++++++-- 4 files changed, 72 insertions(+), 30 deletions(-) diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index 33c00ed3c..a4d66630a 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -147,6 +147,8 @@ snapshot = GraphSnapshot.load_from_connector(S3Connector(), path=location) `export` writes `///` (the two halves of `snapshot.id`) and returns it. Files move in parallel with a CRC32 per range, an interrupted export resumes, and a load either completes or leaves nothing. +Exporting a snapshot whose id is already exported there, including one rebuilt +on another machine, keeps the existing export and returns its location. Loading again reuses the local copy unless it fails DiskGraph's integrity check, in which case it is downloaded again. The snapshot manifest travels with the export; `snapshot.manifest` on the @@ -177,7 +179,8 @@ listing) and never reads or stages rows: ``` The status is `unknown` when there is nothing reliable to compare: the table -is missing from the manifest, the manifest is absent or was reconstructed for +is missing from the manifest, the table now reads from a different connector or +location than the one recorded, the manifest is absent or was reconstructed for an index built before manifests, the version could not be read, the table is Custom SQL (its version folds in a 24-hour window, so it cannot separate a data change from the window rolling over), or either version is an hour-aligned diff --git a/packages/kumo-engine/kumo/engine/_snapshot_io.py b/packages/kumo-engine/kumo/engine/_snapshot_io.py index 39f5a9709..941e950b3 100644 --- a/packages/kumo-engine/kumo/engine/_snapshot_io.py +++ b/packages/kumo-engine/kumo/engine/_snapshot_io.py @@ -28,6 +28,7 @@ _ATTEMPTS = 3 _KEY = re.compile('[0-9a-f]{64}') _PROGRESS_SECONDS = 30 +_REEXPORT = 'Delete {} and run GraphSnapshot.export again.' _UNSUPPORTED = { 'SNOWFLAKE': ('Snowflake stages are not supported; in SPCS services, or ' 'ML Jobs where a stage volume is mounted, use a ' @@ -180,18 +181,16 @@ def _write_json(filesystem: FileSystem, path: str, value: dict) -> None: def _committed(filesystem: FileSystem, root: str, location: str, - snapshot_id: str, fingerprint: str) -> bool: + snapshot_id: str) -> Optional[dict]: existing = _read_json(filesystem, f'{root}/{_MANIFEST}') if existing is None: - return False - if not isinstance(existing, dict): - existing = {} - if (existing.get('snapshot_id') == snapshot_id - and existing.get('index_manifest') == fingerprint): - return True - raise ValueError( - f'{location} already holds an export of snapshot ' - f"{existing.get('snapshot_id')!r} that differs from this one.") + return None + found = existing.get('snapshot_id') if isinstance(existing, dict) else None + if found != snapshot_id: + raise ValueError( + f'{location} holds an export of snapshot {found!r}, not ' + f'{snapshot_id!r}; remove it and re-export.') + return existing def export(snapshot: Any, connector: Any, path: str) -> str: @@ -210,9 +209,16 @@ def export(snapshot: Any, connector: Any, path: str) -> str: identity = {'snapshot_id': snapshot.id, 'index_manifest': fingerprint} filesystem, root = _location(connector, location) - def committed() -> bool: - return _committed(filesystem, root, location, snapshot.id, - fingerprint) + def committed() -> Optional[dict]: + return _committed(filesystem, root, location, snapshot.id) + + def finished() -> bool: + existing = committed() + if existing and existing.get('index_manifest') != fingerprint: + raise RuntimeError( + f'Another build of snapshot {snapshot.id} finished exporting ' + f'to {location} while this one ran; remove it and re-export.') + return existing is not None def present() -> Dict[str, int]: return { @@ -231,7 +237,13 @@ def upload(client: FileSystem, file: Tuple[str, int], with _open_output(client, f'{root}/index/{name}') as writer: return _stream(source / name, size, stop, writer.write) - if committed(): + existing = committed() + if existing is not None and existing.get('index_manifest') != fingerprint: + logger.info( + '%s already holds snapshot %s from another build of it; keeping ' + 'that export.', location, snapshot.id) + return location + if existing is not None: # Re-running repairs files a racing or interrupted export rewrote. uploaded = present() stale = [file for file in files if uploaded.get(file[0]) != file[1]] @@ -257,13 +269,14 @@ def upload(client: FileSystem, file: Tuple[str, int], filesystem, root = _location(connector, location) # An identical export racing this one uploads the same bytes, so # whichever finishes first commits and the other finds it committed. - if committed(): + if finished(): return location if (_read_json(filesystem, f'{root}/{_EXPORTING}') != identity - and not committed()): + and not finished()): raise RuntimeError( f'Another export to {location} started while this one ran; ' 'remove it and re-export.') + recorded = snapshot.manifest _write_json( filesystem, f'{root}/{_MANIFEST}', { 'format': _FORMAT, @@ -272,7 +285,10 @@ def upload(client: FileSystem, file: Tuple[str, int], 'data_version': data_version, 'index_manifest': fingerprint, 'graph_config': snapshot.graph_config, - 'snapshot': snapshot.manifest, + 'snapshot': None if recorded is None else { + key: value + for key, value in recorded.items() if key != 'loaded' + }, 'environment': environment(), 'range_bytes': _RANGE_BYTES, 'files': [{ @@ -297,7 +313,7 @@ def _format_note(manifest: Any) -> str: def _malformed(path: str, detail: str, manifest: Any) -> ValueError: return ValueError(f'The snapshot manifest at {path} {detail}; the export ' - f'is corrupt{_format_note(manifest)}.') + f'is corrupt{_format_note(manifest)}. {_REEXPORT.format(path)}') def read(connector: Any, path: str) -> Tuple[str, dict]: @@ -359,7 +375,7 @@ def _download(root: str, staging: Path, client: FileSystem, if len(chunk) != want: raise ValueError( f'Snapshot file {name} in the export is shorter than ' - 'its manifest records; the export is corrupt.') + 'its manifest records; the export is corrupt') crc = zlib.crc32(chunk, crc) os.pwrite(fd, chunk, start) # Flush while other ranges download, not all at the end. @@ -369,7 +385,7 @@ def _download(root: str, staging: Path, client: FileSystem, if crc != expected: raise ValueError( f'Snapshot file {name} failed its checksum at offset {offset}; ' - 'the export is corrupt.') + 'the export is corrupt') def load_into(connector: Any, path: str, root: str, manifest: dict, @@ -414,9 +430,9 @@ def load_into(connector: Any, path: str, root: str, manifest: dict, _parallel(connector, path, ranges, [item[2] for item in ranges], partial(_download, root, staging), 'load') except ValueError as error: - if _format_note(manifest): - raise ValueError(f'{error}{_format_note(manifest)}') from error - raise + raise ValueError( + f'{error}{_format_note(manifest)}. {_REEXPORT.format(path)}' + ) from error write_diskgraph_success_marker(str(staging), DiskgraphIngestResult.for_index(target)) verify_snapshot_integrity(str(staging)) diff --git a/packages/kumo-engine/kumo/engine/graph.py b/packages/kumo-engine/kumo/engine/graph.py index 250dc1d2d..a6c761190 100644 --- a/packages/kumo-engine/kumo/engine/graph.py +++ b/packages/kumo-engine/kumo/engine/graph.py @@ -384,8 +384,10 @@ def load_from_connector(cls, connector: Connector, *, path: str, def source_changes(self, graph: 'Graph') -> Dict[str, Dict[str, Any]]: r"""Compare each of `graph`'s tables' current source version, read - from metadata only, with the version this snapshot recorded. Never - raises.""" + from metadata only, with the version this snapshot recorded. A table + is `unknown` when the versions cannot be compared, including when it + now reads from a different connector or location than the one + recorded. Never raises.""" try: manifest = self.manifest recorded = ({} if not manifest or manifest.get('reconstructed') else diff --git a/packages/kumo-engine/test/test_snapshot_export.py b/packages/kumo-engine/test/test_snapshot_export.py index a54ba9d0c..abc251897 100644 --- a/packages/kumo-engine/test/test_snapshot_export.py +++ b/packages/kumo-engine/test/test_snapshot_export.py @@ -114,6 +114,9 @@ def test_export_load_round_trip_relocates_and_is_reused( 'environment': manifest['environment'], } assert recorded == manifest['snapshot'] + reexported = tmp_path / 'exports' / loaded.export(exports, 'two') + assert json.loads((reexported / 'kumo_snapshot.json').read_text())[ + 'snapshot'] == manifest['snapshot'] _no_ingest(monkeypatch) monkeypatch.setattr(snapshot_io, 'load_into', @@ -269,7 +272,7 @@ def test_failed_load_leaves_nothing_and_restarts_cleanly( stats.write_bytes(original[:-1] + bytes([original[-1] ^ 1])) scratch('gpu') - with pytest.raises(ValueError, match='checksum'): + with pytest.raises(ValueError, match='checksum.*corrupt. Delete one/'): GraphSnapshot.load_from_connector(exports, path=location) graph_dir = tmp_path / 'gpu/snapshots' / snapshot.index_path.parent.name assert not [path for path in graph_dir.iterdir() if path.suffix != '.lock'] @@ -345,7 +348,7 @@ def test_load_rejects_a_malformed_manifest_with_value_error( edit(manifest) path.write_text(json.dumps(manifest)) scratch('gpu') - with pytest.raises(ValueError, match='export is corrupt'): + with pytest.raises(ValueError, match='corrupt. Delete one/'): GraphSnapshot.load_from_connector(exports, path=location) path.write_text('[]') with pytest.raises(ValueError, match='not a JSON object'): @@ -383,12 +386,30 @@ def test_export_refuses_a_path_holding_other_data(tmp_path, scratch, graph, snapshot.export(exports, 'occupied') _, exported = _export(snapshot, exports, tmp_path) - _edit_manifest(exported, index_manifest='other') - with pytest.raises(ValueError, match='differs from this one'): + _edit_manifest(exported, snapshot_id='other') + with pytest.raises(ValueError, match="snapshot 'other', not"): snapshot.export(exports, 'one') assert (exported / 'index/col_stats.json').is_file() +def test_rebuilt_snapshot_reexports_to_the_existing_export( + tmp_path, scratch, graph, exports): + snapshot = graph.snapshot() + location, exported = _export(snapshot, exports, tmp_path) + committed = (exported / 'kumo_snapshot.json').read_bytes() + scratch('rebuilt/on/another/machine') + rebuilt = graph.snapshot() + assert rebuilt.id == snapshot.id + assert (rebuilt.index_path / '_MANIFEST.json').read_bytes() != ( + snapshot.index_path / '_MANIFEST.json').read_bytes() + + assert rebuilt.export(exports, 'one') == location + assert (exported / 'kumo_snapshot.json').read_bytes() == committed + scratch('gpu') + loaded = GraphSnapshot.load_from_connector(exports, path=location) + assert _index_files(loaded.index_path) == _exported_files(snapshot) + + @pytest.mark.parametrize('kind, reason', [ ('SNOWFLAKE', 'Snowflake stages'), ('DATABRICKS', 'Unity Catalog Volume'), From ef1a4ad347e87713faf067df81c21fde0a4542e1 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 08:12:06 +0000 Subject: [PATCH 051/123] Pass allow_delayed_open to S3 only when pyarrow supports it The sink always passed allow_delayed_open to S3FileSystem, which pyarrow releases inside the pinned range do not accept, so every S3 export and load raised TypeError there. The default no-connection filesystem also lacked the retry strategy the other branches set. The sink probes once whether S3FileSystem accepts the option and drops it otherwise; the no-connection branch always builds S3FileSystem with the retry strategy. Verified: sink test's fake now rejects unknown keywords and runs with and without the option; kumo-s3 unit tests pass. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-s3/src/kumo_s3/backend.py | 7 ++----- packages/kumo-s3/src/kumo_s3/sink.py | 20 ++++++++++++++++---- packages/kumo-s3/tests/test_sink.py | 17 ++++++++++++++--- 3 files changed, 32 insertions(+), 12 deletions(-) diff --git a/packages/kumo-s3/src/kumo_s3/backend.py b/packages/kumo-s3/src/kumo_s3/backend.py index 2b47fdfde..d34effa5c 100644 --- a/packages/kumo-s3/src/kumo_s3/backend.py +++ b/packages/kumo-s3/src/kumo_s3/backend.py @@ -155,11 +155,8 @@ def _filesystem(self, connector: Any, bucket: str, or session.region_name, options=arrow_options) from pyarrow.fs import FileSystem filesystem, _ = FileSystem.from_uri(f's3://{bucket}') - if options: - return S3FileSystem(region=filesystem.region, - retry_strategy=retry_strategy(), - **options) - return filesystem + return S3FileSystem(region=filesystem.region, + retry_strategy=retry_strategy(), **(options or {})) class S3SourceBackend(S3Sessions, ObjectStoreSourceBackend): diff --git a/packages/kumo-s3/src/kumo_s3/sink.py b/packages/kumo-s3/src/kumo_s3/sink.py index eded2e8a7..557551b64 100644 --- a/packages/kumo-s3/src/kumo_s3/sink.py +++ b/packages/kumo-s3/src/kumo_s3/sink.py @@ -2,6 +2,9 @@ # All rights reserved. # SPDX-License-Identifier: Apache-2.0 +from functools import lru_cache +from typing import Dict + from kumo_core.object_store_sink import ObjectStoreSinkBackend from kumoapi.data_source import DataSourceType @@ -16,12 +19,21 @@ class S3SinkBackend(S3Sessions, ObjectStoreSinkBackend): def filesystem(self, connector, path, *, parallel_uploads=False): bucket, resolved, region = self._resolved(connector, path) - options = ({ - 'allow_delayed_open': True, - 'background_writes': False - } if parallel_uploads else None) + options = _parallel_upload_options() if parallel_uploads else None return (self._filesystem(connector, bucket, region, options), resolved.rstrip('/')) def __repr__(self) -> str: return f'{type(self).__name__}(identity={self._identity!r})' + + +@lru_cache(maxsize=None) +def _parallel_upload_options() -> Dict[str, bool]: + from pyarrow.fs import S3FileSystem + + try: + S3FileSystem(anonymous=True, region='us-east-1', + allow_delayed_open=True) + except TypeError: + return {'background_writes': False} + return {'allow_delayed_open': True, 'background_writes': False} diff --git a/packages/kumo-s3/tests/test_sink.py b/packages/kumo-s3/tests/test_sink.py index a0d45db50..c143321df 100644 --- a/packages/kumo-s3/tests/test_sink.py +++ b/packages/kumo-s3/tests/test_sink.py @@ -9,7 +9,7 @@ import kumo_s3 import pytest from fakes import FakeSession -from kumo_s3 import backend +from kumo_s3 import backend, sink from kumo_s3.sink import S3SinkBackend from kumoapi.data_source import ( S3AnyURIConnectorTarget, @@ -17,13 +17,21 @@ ) +@pytest.mark.parametrize('delayed_open', [True, False]) @pytest.mark.parametrize('credentials', ['default', None]) def test_parallel_uploads_reach_every_filesystem_construction( - monkeypatch, credentials): + monkeypatch, credentials, delayed_open): + known = { + 'access_key', 'secret_key', 'session_token', 'region', 'anonymous', + 'retry_strategy', 'background_writes', 'endpoint_override', 'scheme', + 'force_virtual_addressing' + } | ({'allow_delayed_open'} if delayed_open else set()) built = [] class Record: def __init__(self, **kwargs): + if set(kwargs) - known: + raise TypeError(f'unexpected {set(kwargs) - known}') built.append(kwargs) monkeypatch.setattr('pyarrow.fs.S3FileSystem', Record) @@ -35,15 +43,18 @@ def __init__(self, **kwargs): 'pyarrow.fs.FileSystem', SimpleNamespace(from_uri=lambda uri: (SimpleNamespace(region='us-west-2'), ''))) + sink._parallel_upload_options.cache_clear() connector = SimpleNamespace( id='connector', identity=None, identity_id=None, config=S3ConnectorResourceConfig(target=S3AnyURIConnectorTarget())) filesystem, path = S3SinkBackend().filesystem( connector, 's3://bucket/prefix/', parallel_uploads=True) + sink._parallel_upload_options.cache_clear() assert isinstance(filesystem, Record) assert path == 'bucket/prefix' - assert built[-1]['allow_delayed_open'] is True + assert built[-1].get('allow_delayed_open') is (True if delayed_open else + None) assert built[-1]['background_writes'] is False assert 'retry_strategy' in built[-1] From a58e325244b2efb24752f25eff66e6b118da0035 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 08:27:16 +0000 Subject: [PATCH 052/123] Trim comments and implementation-detail tests Export, load and source_changes docstrings and the README repeated the same guidance several times, and the manifest-validation tests ran duplicate cases of one check. Cut the docstrings to a line plus Args, tighten the README section, and drop redundant hostile/malformed manifest cases and a call-count assertion. test_snapshot_export(.py, _live.py): 38 passed, 2 skipped (live); kumo-s3 test_sink.py: 4 passed. Co-Authored-By: Claude Opus 5.5 --- .../src/kumo_core/object_store_sink.py | 4 +- packages/kumo-engine/README.md | 53 ++++++++----------- packages/kumo-engine/kumo/engine/graph.py | 42 ++++++--------- .../kumo-engine/test/test_snapshot_export.py | 24 ++++----- 4 files changed, 48 insertions(+), 75 deletions(-) diff --git a/packages/kumo-core/src/kumo_core/object_store_sink.py b/packages/kumo-core/src/kumo_core/object_store_sink.py index 01293d10d..aad0c2c06 100644 --- a/packages/kumo-core/src/kumo_core/object_store_sink.py +++ b/packages/kumo-core/src/kumo_core/object_store_sink.py @@ -34,9 +34,7 @@ def _destination(self, connector: SourceConnector, def filesystem(self, connector: SourceConnector, path: str, *, parallel_uploads: bool = False) -> Tuple[FileSystem, str]: """The authenticated filesystem and the path ``path`` resolves to. - ``parallel_uploads`` tunes S3 for many concurrent uploads (one - buffered part each, small files as one PUT); other stores ignore it. - """ + ``parallel_uploads`` tunes S3 for many concurrent uploads.""" del parallel_uploads filesystem, resolved = self._destination(connector, path) return filesystem, resolved.rstrip('/') diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index a4d66630a..e937c5fe6 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -147,16 +147,13 @@ snapshot = GraphSnapshot.load_from_connector(S3Connector(), path=location) `export` writes `///` (the two halves of `snapshot.id`) and returns it. Files move in parallel with a CRC32 per range, an interrupted export resumes, and a load either completes or leaves nothing. -Exporting a snapshot whose id is already exported there, including one rebuilt -on another machine, keeps the existing export and returns its location. -Loading again reuses the local copy unless it fails DiskGraph's integrity -check, in which case it is downloaded again. -The snapshot manifest travels with the export; `snapshot.manifest` on the -loaded copy shows the DiskGraph formats it was built with and, under `loaded`, -the formats of the machine that loaded it. Load does not compare versions; an -index this DiskGraph cannot open fails with both sets of formats in the error. -Load only from paths whose writers you trust: checksums detect corruption, not -tampering. +Exporting a snapshot id that is already there, even one rebuilt on another +machine, keeps the existing export. Loading again reuses the local copy unless +it fails DiskGraph's integrity check. The snapshot manifest travels with the +export; on the loaded copy, `snapshot.manifest["loaded"]` records the loading +machine's DiskGraph formats. An index this DiskGraph cannot open fails with +both sets of formats in the error. Load only from paths whose writers you +trust: checksums detect corruption, not tampering. Snowflake, Databricks and BigQuery connectors cannot hold an export. Instead: @@ -168,9 +165,8 @@ Snowflake, Databricks and BigQuery connectors cannot hold an export. Instead: volume or external stage. `snapshot.source_changes(graph)` reports, per table alias, whether the source -moved on since the snapshot was built. It asks each connector for the same -metadata-only version stamp the snapshot recorded (a catalog read or a file -listing) and never reads or stages rows: +moved on since the snapshot was built, using the same metadata-only version +stamp the snapshot recorded (no rows are read): ```python {"users": {"status": "unchanged", "recorded": "1792539971", "current": "1792539971"}, @@ -178,24 +174,19 @@ listing) and never reads or stages rows: "events": {"status": "changed", "recorded": "1792539971", "current": "1792539974"}} ``` -The status is `unknown` when there is nothing reliable to compare: the table -is missing from the manifest, the table now reads from a different connector or -location than the one recorded, the manifest is absent or was reconstructed for -an index built before manifests, the version could not be read, the table is -Custom SQL (its version folds in a 24-hour window, so it cannot separate a data -change from the window rolling over), or either version is an hour-aligned -timestamp or `-1`. Views and sources without a readable version are stamped -with the current hour, so they always report `unknown`; a real version that -happens to fall exactly on the hour does too. A file-connector table that is a -folder holding Parquet or CSV files under a `_`- or `.`-prefixed path (a Delta -`_delta_log` checkpoint, a leftover `_temporary/` part) reports `changed` on -every call: its listing stamp counts those files, while the stamp recorded at -build time does not. -`GraphSnapshot.load_from_connector(..., graph=graph)` makes the same metadata -call for every table, so the loading machine needs source credentials, and -warns once naming the `changed` tables. A scoring job should either build a fresh snapshot or load -one whose `source_changes` are all `unchanged`; loading an older snapshot on -purpose, for example to reproduce past scores, is legitimate. +The status is `unknown` when there is nothing reliable to compare: no recorded +version (no manifest, or one reconstructed for an older index), a different +connector or location than recorded, an unreadable version, a Custom SQL table +(its version folds in a 24-hour window), or an hour-aligned or `-1` stamp +(views and unversioned sources are stamped with the current hour). A +file-connector folder holding Parquet or CSV files under a `_`- or `.`-prefixed +path (a Delta `_delta_log` checkpoint, a leftover `_temporary/` part) reports +`changed` on every call, because its listing stamp counts those files. +`GraphSnapshot.load_from_connector(..., graph=graph)` makes the same call for +every table, so the loading machine needs source credentials, and warns once +naming the `changed` tables. A scoring job should build a fresh snapshot or +load one whose tables are all `unchanged`, unless it deliberately reproduces +past scores. The return values expose the retained files directly: diff --git a/packages/kumo-engine/kumo/engine/graph.py b/packages/kumo-engine/kumo/engine/graph.py index a6c761190..f2b1a60e6 100644 --- a/packages/kumo-engine/kumo/engine/graph.py +++ b/packages/kumo-engine/kumo/engine/graph.py @@ -224,7 +224,6 @@ def _lock(graph_key: str) -> Any: def _loaded(path: str) -> Optional[Any]: - r"""The index a previous load left intact at `path`, if any.""" from diskgraph import DiskgraphCorruptionError, verify_snapshot_integrity from kumo_core.diskgraph.snapshot import check_diskgraph_output @@ -245,8 +244,8 @@ def _loaded(path: str) -> Optional[Any]: def _comparable(stamp: Any) -> bool: - r"""Hour-aligned epoch seconds are what `hour_version()` stamps views and - unversioned sources with; `-1` marks an undated source.""" + # hour_version() stamps views and unversioned sources on the hour; -1 is + # an undated source. return (isinstance(stamp, str) and stamp != '-1' and not (stamp.isdigit() and int(stamp) % _HOUR_SECONDS == 0)) @@ -313,16 +312,12 @@ class GraphSnapshot: record_sources: bool | None = field(default=None, compare=False) def export(self, connector: Connector, path: str) -> str: - r"""Copy the index to `//` under an - S3, GCS or file connector and return that location. Re-running - resumes. - - Where there is no dedicated connector: on Databricks compute, use a - `FileConnector` rooted at `/Volumes///`; in - SPCS services, or ML Jobs where a stage volume is mounted, a - `FileConnector` on that stage volume (not yet tested with multi-GB - indexes); otherwise the S3 or - GCS connector on the bucket behind an external volume or stage. + r"""Copy the index to `//` and + return that location; re-running resumes. + + Args: + connector: an S3, GCS or file connector (on Databricks or + Snowflake, a `FileConnector` on a mounted volume). """ from kumo.engine._snapshot_io import export @@ -331,14 +326,12 @@ def export(self, connector: Connector, path: str) -> str: @classmethod def load_from_connector(cls, connector: Connector, *, path: str, graph: Optional['Graph'] = None) -> 'GraphSnapshot': - r"""Copy the snapshot exported at `path` (the location `export` - returned) into the local snapshot store. - - Given `graph`, reads each table's source version (one metadata call - per table, so this machine needs source credentials) and warns once - if any changed since the snapshot was built (see `source_changes`). A scoring job should - build a fresh snapshot or load one whose `source_changes` are all - `unchanged`, unless it deliberately scores an older snapshot. + r"""Copy the snapshot exported at `path` into the local store. + + Args: + path: the location `export` returned. + graph: if given, warn when its source tables changed since the + snapshot was built (see `source_changes`). """ from kumo_core.diskgraph.snapshot import DiskgraphSnapshotHandle @@ -383,11 +376,8 @@ def load_from_connector(cls, connector: Connector, *, path: str, return snapshot def source_changes(self, graph: 'Graph') -> Dict[str, Dict[str, Any]]: - r"""Compare each of `graph`'s tables' current source version, read - from metadata only, with the version this snapshot recorded. A table - is `unknown` when the versions cannot be compared, including when it - now reads from a different connector or location than the one - recorded. Never raises.""" + r"""Each of `graph`'s tables' source status since this snapshot: + `unchanged`, `changed` or `unknown`. Never raises.""" try: manifest = self.manifest recorded = ({} if not manifest or manifest.get('reconstructed') else diff --git a/packages/kumo-engine/test/test_snapshot_export.py b/packages/kumo-engine/test/test_snapshot_export.py index abc251897..62822cd26 100644 --- a/packages/kumo-engine/test/test_snapshot_export.py +++ b/packages/kumo-engine/test/test_snapshot_export.py @@ -212,19 +212,19 @@ def test_concurrent_identical_exports_both_succeed(tmp_path, scratch, graph, exports, monkeypatch): snapshot = graph.snapshot() parallel = snapshot_io._parallel - calls = [] + raced = [] def racing(*args): - calls.append(args) - if len(calls) == 1: - assert snapshot.export(exports, 'one') == location + if not raced: + raced.append(None) + raced[0] = snapshot.export(exports, 'one') return parallel(*args) graph_id, data_version = snapshot.id.split('@') location = f'one/{graph_id}/{data_version}' monkeypatch.setattr(snapshot_io, '_parallel', racing) assert snapshot.export(exports, 'one') == location - assert len(calls) == 2 + assert raced == [location] scratch('gpu') loaded = GraphSnapshot.load_from_connector(exports, path=location) assert _index_files(loaded.index_path) == _exported_files(snapshot) @@ -308,8 +308,6 @@ def test_load_needs_the_full_size_while_an_old_copy_remains( @pytest.mark.parametrize('field, value', [ ('data_version', '../../victim'), - ('data_version', '/tmp/victim'), - ('graph_key', '..'), ('files', [{ 'path': '../../victim/x', 'size': 1, @@ -332,10 +330,7 @@ def test_load_rejects_a_hostile_manifest(tmp_path, scratch, graph, exports, @pytest.mark.parametrize('edit', [ lambda manifest: manifest.pop('files'), - lambda manifest: manifest.pop('range_bytes'), - lambda manifest: manifest.pop('graph_config'), lambda manifest: manifest.update(snapshot=[1]), - lambda manifest: manifest['files'].append('index_metadata.json'), lambda manifest: manifest['files'][0].pop('crc32'), lambda manifest: manifest['files'].append(manifest['files'][0]), ]) @@ -495,13 +490,12 @@ def test_object_store_round_trip(tmp_path, scratch, graph, monkeypatch, storage = tmp_path / 'storage' storage.mkdir() bucket = SubTreeFileSystem(str(storage), LocalFileSystem()) - options = [] + seen = [] def s3(bucket_name, *, options=None, **kwargs): - options_seen.append(options) + seen.append(options) return bucket - options_seen = options monkeypatch.setattr('kumo_s3.filesystem', s3) class Gcs(SubTreeFileSystem): @@ -523,9 +517,9 @@ def __init__(self): assert loaded.id == snapshot.id assert _index_files(loaded.index_path) == _exported_files(snapshot) if scheme == 's3': - assert options and all( + assert seen and all( option['allow_delayed_open'] and not option['background_writes'] - for option in options) + for option in seen) def test_transfer_renews_an_expired_client(tmp_path, scratch, graph, exports, From 4c9f34186341c3159049dc16dc9a36565f4d2a7a Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 09:39:19 +0000 Subject: [PATCH 053/123] Trim snapshot export PR to essentials The export/load PR carried per-warehouse error essays, a format-note and corrupt-manifest message layer, defensive branches in source_changes, a long README section, and tests of internal race and retry sequences. Collapse unsupported connectors into one error naming the connectors to use, report corrupt exports through one message, simplify the unreadable-index error to the two format sets, trim the README to usage and limits, and keep tests of user-visible export, load, back-compat and source_changes behaviour. No documented field or API changed. Verified: test_snapshot_export, test_snapshot_export_live (skipped without live roots), test_snapshot_manifest, test_snapshot_cleanup, test_snapshot_staging_cleanup and kumo-s3 tests pass; flake8 and isort clean. Co-Authored-By: Claude Opus 5.5 --- .../src/kumo_core/object_store_sink.py | 3 +- packages/kumo-engine/README.md | 49 +- .../kumo-engine/kumo/engine/_snapshot_io.py | 168 ++---- packages/kumo-engine/kumo/engine/graph.py | 36 +- .../kumo-engine/test/test_snapshot_export.py | 516 +++++------------- .../test/test_snapshot_export_live.py | 18 +- packages/kumo-s3/src/kumo_s3/backend.py | 3 +- 7 files changed, 213 insertions(+), 580 deletions(-) diff --git a/packages/kumo-core/src/kumo_core/object_store_sink.py b/packages/kumo-core/src/kumo_core/object_store_sink.py index aad0c2c06..d3d33bbac 100644 --- a/packages/kumo-core/src/kumo_core/object_store_sink.py +++ b/packages/kumo-core/src/kumo_core/object_store_sink.py @@ -33,8 +33,7 @@ def _destination(self, connector: SourceConnector, def filesystem(self, connector: SourceConnector, path: str, *, parallel_uploads: bool = False) -> Tuple[FileSystem, str]: - """The authenticated filesystem and the path ``path`` resolves to. - ``parallel_uploads`` tunes S3 for many concurrent uploads.""" + """The authenticated filesystem and resolved ``path``.""" del parallel_uploads filesystem, resolved = self._destination(connector, path) return filesystem, resolved.rstrip('/') diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index e937c5fe6..160ee3d9b 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -144,49 +144,24 @@ location = graph.snapshot().export(S3Connector(), "s3://bucket/snapshots") snapshot = GraphSnapshot.load_from_connector(S3Connector(), path=location) ``` -`export` writes `///` (the two halves of -`snapshot.id`) and returns it. Files move in parallel with a CRC32 per range, -an interrupted export resumes, and a load either completes or leaves nothing. -Exporting a snapshot id that is already there, even one rebuilt on another -machine, keeps the existing export. Loading again reuses the local copy unless -it fails DiskGraph's integrity check. The snapshot manifest travels with the -export; on the loaded copy, `snapshot.manifest["loaded"]` records the loading -machine's DiskGraph formats. An index this DiskGraph cannot open fails with -both sets of formats in the error. Load only from paths whose writers you -trust: checksums detect corruption, not tampering. - -Snowflake, Databricks and BigQuery connectors cannot hold an export. Instead: - -- On Databricks compute, use a `FileConnector` on a Unity Catalog Volume: - `FileConnector(root_dir="/Volumes///")`. -- In SPCS services, or Snowflake ML Jobs where a stage volume is mounted, use a - `FileConnector` on that stage volume (not yet tested with multi-GB indexes). -- Otherwise, use the S3 or GCS connector on the bucket behind an external - volume or external stage. - -`snapshot.source_changes(graph)` reports, per table alias, whether the source -moved on since the snapshot was built, using the same metadata-only version -stamp the snapshot recorded (no rows are read): +`export` writes `///` and returns it; an +interrupted export resumes, and a load either completes or leaves nothing. +Snowflake, Databricks and BigQuery connectors cannot hold an export: use a +`FileConnector` on a mounted volume (e.g. `/Volumes///`) +or the S3/GCS connector on the bucket behind it. Load only from paths whose +writers you trust: checksums detect corruption, not tampering. + +`snapshot.source_changes(graph)` reports, per table, whether the source moved +on since the snapshot was built, from metadata only: ```python {"users": {"status": "unchanged", "recorded": "1792539971", "current": "1792539971"}, - "items": {"status": "unknown", "recorded": "1792537200", "current": "1792537200"}, "events": {"status": "changed", "recorded": "1792539971", "current": "1792539974"}} ``` -The status is `unknown` when there is nothing reliable to compare: no recorded -version (no manifest, or one reconstructed for an older index), a different -connector or location than recorded, an unreadable version, a Custom SQL table -(its version folds in a 24-hour window), or an hour-aligned or `-1` stamp -(views and unversioned sources are stamped with the current hour). A -file-connector folder holding Parquet or CSV files under a `_`- or `.`-prefixed -path (a Delta `_delta_log` checkpoint, a leftover `_temporary/` part) reports -`changed` on every call, because its listing stamp counts those files. -`GraphSnapshot.load_from_connector(..., graph=graph)` makes the same call for -every table, so the loading machine needs source credentials, and warns once -naming the `changed` tables. A scoring job should build a fresh snapshot or -load one whose tables are all `unchanged`, unless it deliberately reproduces -past scores. +The status is `unknown` when there is nothing reliable to compare (no recorded +version, a different source location, Custom SQL, or an hour-aligned stamp from +a view). `load_from_connector(..., graph=graph)` warns when tables `changed`. The return values expose the retained files directly: diff --git a/packages/kumo-engine/kumo/engine/_snapshot_io.py b/packages/kumo-engine/kumo/engine/_snapshot_io.py index 941e950b3..c1e3f5fde 100644 --- a/packages/kumo-engine/kumo/engine/_snapshot_io.py +++ b/packages/kumo-engine/kumo/engine/_snapshot_io.py @@ -28,17 +28,6 @@ _ATTEMPTS = 3 _KEY = re.compile('[0-9a-f]{64}') _PROGRESS_SECONDS = 30 -_REEXPORT = 'Delete {} and run GraphSnapshot.export again.' -_UNSUPPORTED = { - 'SNOWFLAKE': ('Snowflake stages are not supported; in SPCS services, or ' - 'ML Jobs where a stage volume is mounted, use a ' - 'FileConnector on that volume'), - 'DATABRICKS': ('for a Unity Catalog Volume, use a FileConnector on ' - '/Volumes/// from Databricks ' - "compute, or an S3Connector or GCSConnector on the " - "volume's backing cloud path"), - 'BIGQUERY': 'BigQuery cannot hold files', -} logger = logging.getLogger(__name__) @@ -46,13 +35,14 @@ def _location(connector: Any, path: str) -> Tuple[FileSystem, str]: from kumo_core.object_store_sink import ObjectStoreSinkBackend - reason = _UNSUPPORTED.get(getattr(connector.source_type, 'name', None)) - sink = None if reason else connector.sink_backend + try: + sink = connector.sink_backend + except Exception: + sink = None if not isinstance(sink, ObjectStoreSinkBackend): raise NotImplementedError( - f'{type(connector).__name__} cannot hold a snapshot export' - f"{f' ({reason})' if reason else ''}; use an S3Connector, " - 'GCSConnector or FileConnector.') + f'{type(connector).__name__} cannot hold a snapshot export; use ' + 'an S3Connector, GCSConnector or a FileConnector on a volume.') return sink.filesystem(connector, path, parallel_uploads=True) @@ -60,9 +50,7 @@ def _check_key(graph_key: Any, data_version: Any, snapshot_id: Any) -> None: if not (isinstance(graph_key, str) and isinstance(data_version, str) and _KEY.fullmatch(graph_key) and _KEY.fullmatch(data_version) and snapshot_id == f'{graph_key}@{data_version[:16]}'): - raise ValueError( - f'Snapshot {snapshot_id!r} does not name a graph key and data ' - 'version this package produced.') + raise ValueError(f'{snapshot_id!r} is not a snapshot id.') class _Client: @@ -85,8 +73,7 @@ def _parallel(connector: Any, path: str, items: Sequence[Any], stop = threading.Event() total = sum(sizes) with copies(items) as workers, ThreadPoolExecutor(workers) as pool: - # Created after `copies` raises Arrow's IO pool, which sizes the - # client's connection pool. + # After `copies`: Arrow's IO pool size sets the connection pool. client = _Client(connector, path) logger.info('Snapshot %s of %s: %d files, %d bytes, %d workers', action, path, len(items), total, workers) @@ -110,7 +97,6 @@ def _parallel(connector: Any, path: str, items: Sequence[Any], moved / max(elapsed, 1e-9) / 1e9) return [future.result() for future in futures] except BaseException: - # Leaving the pool joins the workers, which notice `stop`. stop.set() for future in futures: future.cancel() @@ -180,19 +166,6 @@ def _write_json(filesystem: FileSystem, path: str, value: dict) -> None: writer.write(json.dumps(value).encode()) -def _committed(filesystem: FileSystem, root: str, location: str, - snapshot_id: str) -> Optional[dict]: - existing = _read_json(filesystem, f'{root}/{_MANIFEST}') - if existing is None: - return None - found = existing.get('snapshot_id') if isinstance(existing, dict) else None - if found != snapshot_id: - raise ValueError( - f'{location} holds an export of snapshot {found!r}, not ' - f'{snapshot_id!r}; remove it and re-export.') - return existing - - def export(snapshot: Any, connector: Any, path: str) -> str: from kumo.engine._provenance import environment @@ -210,14 +183,19 @@ def export(snapshot: Any, connector: Any, path: str) -> str: filesystem, root = _location(connector, location) def committed() -> Optional[dict]: - return _committed(filesystem, root, location, snapshot.id) + existing = _read_json(filesystem, f'{root}/{_MANIFEST}') + found = (existing.get('snapshot_id') + if isinstance(existing, dict) else None) + if existing is not None and found != snapshot.id: + raise ValueError(f'{location} holds snapshot {found!r}, not ' + f'{snapshot.id!r}; remove it and re-export.') + return existing def finished() -> bool: existing = committed() if existing and existing.get('index_manifest') != fingerprint: - raise RuntimeError( - f'Another build of snapshot {snapshot.id} finished exporting ' - f'to {location} while this one ran; remove it and re-export.') + raise RuntimeError(f'Another build of {snapshot.id} was exported ' + f'to {location} meanwhile; re-export.') return existing is not None def present() -> Dict[str, int]: @@ -239,12 +217,10 @@ def upload(client: FileSystem, file: Tuple[str, int], existing = committed() if existing is not None and existing.get('index_manifest') != fingerprint: - logger.info( - '%s already holds snapshot %s from another build of it; keeping ' - 'that export.', location, snapshot.id) + logger.info('Keeping the existing export of %s at %s', snapshot.id, + location) return location if existing is not None: - # Re-running repairs files a racing or interrupted export rewrote. uploaded = present() stale = [file for file in files if uploaded.get(file[0]) != file[1]] if stale: @@ -258,24 +234,20 @@ def upload(client: FileSystem, file: Tuple[str, int], FileSelector(root, allow_not_found=True)): raise ValueError(f'{location} is not empty; remove it and re-export.') if marker is not None and marker.get('snapshot_id') != snapshot.id: - raise ValueError( - f"{location} holds a partial export of snapshot " - f"{marker.get('snapshot_id')!r}; remove it and re-export.") + raise ValueError(f'{location} holds a partial export of another ' + 'snapshot; remove it and re-export.') resume = (marker or {}).get('index_manifest') == fingerprint _write_json(filesystem, f'{root}/{_EXPORTING}', identity) uploaded = present() if resume else {} crcs = _parallel(connector, location, files, [size for _, size in files], upload, 'export') filesystem, root = _location(connector, location) - # An identical export racing this one uploads the same bytes, so - # whichever finishes first commits and the other finds it committed. if finished(): return location if (_read_json(filesystem, f'{root}/{_EXPORTING}') != identity and not finished()): - raise RuntimeError( - f'Another export to {location} started while this one ran; ' - 'remove it and re-export.') + raise RuntimeError(f'Another export to {location} started ' + 'meanwhile; re-export.') recorded = snapshot.manifest _write_json( filesystem, f'{root}/{_MANIFEST}', { @@ -285,17 +257,12 @@ def upload(client: FileSystem, file: Tuple[str, int], 'data_version': data_version, 'index_manifest': fingerprint, 'graph_config': snapshot.graph_config, - 'snapshot': None if recorded is None else { - key: value - for key, value in recorded.items() if key != 'loaded' - }, + 'snapshot': None if recorded is None else + {k: v for k, v in recorded.items() if k != 'loaded'}, 'environment': environment(), 'range_bytes': _RANGE_BYTES, - 'files': [{ - 'path': name, - 'size': size, - 'crc32': file_crcs - } for (name, size), file_crcs in zip(files, crcs)], + 'files': [{'path': name, 'size': size, 'crc32': file_crcs} + for (name, size), file_crcs in zip(files, crcs)], }) try: filesystem.delete_file(f'{root}/{_EXPORTING}') @@ -304,27 +271,19 @@ def upload(client: FileSystem, file: Tuple[str, int], return location -def _format_note(manifest: Any) -> str: - if not isinstance(manifest, dict) or manifest.get('format') == _FORMAT: - return '' - return (f" (export layout format {manifest.get('format')!r}; this " - f'engine reads {_FORMAT})') - - -def _malformed(path: str, detail: str, manifest: Any) -> ValueError: - return ValueError(f'The snapshot manifest at {path} {detail}; the export ' - f'is corrupt{_format_note(manifest)}. {_REEXPORT.format(path)}') +def _corrupt(path: str, detail: str) -> ValueError: + return ValueError(f'The snapshot export at {path} is corrupt ({detail}); ' + 'delete it and run GraphSnapshot.export again.') def read(connector: Any, path: str) -> Tuple[str, dict]: filesystem, root = _location(connector, path) manifest = _read_json(filesystem, f'{root}/{_MANIFEST}') if manifest is None: - raise FileNotFoundError( - f'No complete snapshot export at {path}: {_MANIFEST} is missing. ' - 'Re-run GraphSnapshot.export to finish it.') + raise FileNotFoundError(f'No complete snapshot export at {path} ' + f'({_MANIFEST} is missing); re-run export.') if not isinstance(manifest, dict): - raise _malformed(path, 'is not a JSON object', manifest) + raise _corrupt(path, 'manifest is not a JSON object') if manifest.get('format') != _FORMAT: warnings.warn( f"Snapshot export at {path} has layout format " @@ -333,15 +292,10 @@ def read(connector: Any, path: str) -> Tuple[str, dict]: _check_key(manifest.get('graph_key'), manifest.get('data_version'), manifest.get('snapshot_id')) span, files = manifest.get('range_bytes'), manifest.get('files') - if type(span) is not int or span <= 0: - raise _malformed(path, 'has an invalid range_bytes', manifest) - if not isinstance(files, list): - raise _malformed(path, 'has no file list', manifest) - for key in ('snapshot', 'environment'): - if not isinstance(manifest.get(key, {}), (dict, type(None))): - raise _malformed(path, f'has a non-object {key}', manifest) - if not isinstance(manifest.get('graph_config'), dict): - raise _malformed(path, 'has no graph_config', manifest) + if (type(span) is not int or span <= 0 or not isinstance(files, list) + or not isinstance(manifest.get('graph_config'), dict) + or not isinstance(manifest.get('snapshot'), (dict, type(None)))): + raise _corrupt(path, 'malformed manifest') seen = set() for entry in files: name, size, crcs = ((entry.get('path'), entry.get('size'), @@ -353,9 +307,7 @@ def read(connector: Any, path: str) -> Tuple[str, dict]: or not isinstance(crcs, list) or any(type(crc) is not int for crc in crcs) or len(crcs) != max(-(-size // span), 1)): - raise _malformed( - path, f'lists {name!r} with an invalid or repeated path, size ' - 'or checksums', manifest) + raise _corrupt(path, f'bad file entry {name!r}') seen.add(name) return root, manifest @@ -373,19 +325,14 @@ def _download(root: str, staging: Path, client: FileSystem, want = min(_CHUNK, offset + length - start) chunk = reader.read_at(want, start) if len(chunk) != want: - raise ValueError( - f'Snapshot file {name} in the export is shorter than ' - 'its manifest records; the export is corrupt') + raise ValueError(f'{name} is truncated') crc = zlib.crc32(chunk, crc) os.pwrite(fd, chunk, start) - # Flush while other ranges download, not all at the end. getattr(os, 'fdatasync', os.fsync)(fd) finally: os.close(fd) if crc != expected: - raise ValueError( - f'Snapshot file {name} failed its checksum at offset {offset}; ' - 'the export is corrupt') + raise ValueError(f'{name} failed its checksum at offset {offset}') def load_into(connector: Any, path: str, root: str, manifest: dict, @@ -407,13 +354,12 @@ def load_into(connector: Any, path: str, root: str, manifest: dict, shutil.rmtree(staging, ignore_errors=True) try: staging.mkdir(parents=True) - # Any old target stays until the rename, so the whole size is needed. + # Any old target stays until the rename. needed = sum(size for _, size, _ in files) disk = os.statvfs(staging) if disk.f_bavail * disk.f_frsize < needed: - raise OSError( - f'Loading this snapshot needs {needed} bytes in {staging}, ' - f'which has {disk.f_bavail * disk.f_frsize} free.') + raise OSError(f'Loading this snapshot needs {needed} free bytes ' + f'in {staging}.') for name, size, _ in files: (staging / name).parent.mkdir(parents=True, exist_ok=True) fd = os.open(staging / name, os.O_WRONLY | os.O_CREAT | os.O_EXCL) @@ -430,9 +376,7 @@ def load_into(connector: Any, path: str, root: str, manifest: dict, _parallel(connector, path, ranges, [item[2] for item in ranges], partial(_download, root, staging), 'load') except ValueError as error: - raise ValueError( - f'{error}{_format_note(manifest)}. {_REEXPORT.format(path)}' - ) from error + raise _corrupt(path, str(error)) from error write_diskgraph_success_marker(str(staging), DiskgraphIngestResult.for_index(target)) verify_snapshot_integrity(str(staging)) @@ -456,33 +400,17 @@ def load_into(connector: Any, path: str, root: str, manifest: dict, raise -def _built_with(manifest: Dict[str, Any]) -> Tuple[Any, Any]: - recorded = manifest.get('snapshot') or {} - environment = (recorded.get('environment') or manifest.get('environment') - or {}) - return recorded.get('formats'), (environment.get('kumo_engine') - if isinstance(environment, dict) else None) - - def _check_readable(index: Path, manifest: dict) -> None: from diskgraph import SamplerEngine, format_versions - from kumo.engine._version import __version__ - try: SamplerEngine(str(index), num_threads=1) except Exception as error: - formats, engine = _built_with(manifest) - running = format_versions() - advice = ('The on-disk formats differ: rebuild the snapshot with ' - 'this kumo-engine, or load it with the exporting one.' - if formats is not None and formats != running else - 'Re-export with a matching kumo-engine.') + built = (manifest.get('snapshot') or {}).get('formats') raise RuntimeError( - "This machine's DiskGraph cannot open the snapshot. It was " - f"built with DiskGraph formats {formats} by kumo-engine {engine}; " - f"installed are formats {running} and kumo-engine " - f"{__version__}{_format_note(manifest)}. {advice}") from error + f'This DiskGraph cannot open the snapshot: built with formats ' + f'{built}, installed are {format_versions()}. Rebuild it with ' + 'this kumo-engine or load it with the exporting one.') from error def _fsync(path: Path) -> None: diff --git a/packages/kumo-engine/kumo/engine/graph.py b/packages/kumo-engine/kumo/engine/graph.py index f2b1a60e6..5fe5dbabb 100644 --- a/packages/kumo-engine/kumo/engine/graph.py +++ b/packages/kumo-engine/kumo/engine/graph.py @@ -240,14 +240,10 @@ def _loaded(path: str) -> Optional[Any]: return marker -_HOUR_SECONDS = 3600 - - def _comparable(stamp: Any) -> bool: - # hour_version() stamps views and unversioned sources on the hour; -1 is - # an undated source. + # Views and unversioned sources are stamped on the hour; -1 is undated. return (isinstance(stamp, str) and stamp != '-1' - and not (stamp.isdigit() and int(stamp) % _HOUR_SECONDS == 0)) + and not (stamp.isdigit() and int(stamp) % 3600 == 0)) def _source_change(table: Table, recorded: Any) -> Dict[str, Any]: @@ -340,13 +336,8 @@ def load_from_connector(cls, connector: Connector, *, path: str, root, manifest = read(connector, path) graph_key = manifest['graph_key'] if graph is not None and graph.id != graph_key: - warnings.warn( - f"Snapshot at {path} was taken of graph {graph_key!r}, not of " - f"the given graph {graph.id!r}; tables, edges, schemas or " - "connectors differ from the exported graph.", - UserWarning, - stacklevel=2, - ) + warnings.warn(f"Snapshot at {path} was taken of another graph.", + UserWarning, stacklevel=2) target = _store().path( DiskgraphSnapshotHandle( graph_key=graph_key, @@ -367,12 +358,9 @@ def load_from_connector(cls, connector: Connector, *, path: str, ] if changed: warnings.warn( - f"Snapshot at {path} predates the current data of " - f"source table(s) {', '.join(changed)}; see " - "`snapshot.source_changes(graph)`.", - UserWarning, - stacklevel=2, - ) + f"Snapshot at {path} predates source table(s) " + f"{', '.join(changed)}; see `snapshot.source_changes`.", + UserWarning, stacklevel=2) return snapshot def source_changes(self, graph: 'Graph') -> Dict[str, Dict[str, Any]]: @@ -381,18 +369,12 @@ def source_changes(self, graph: 'Graph') -> Dict[str, Dict[str, Any]]: try: manifest = self.manifest recorded = ({} if not manifest or manifest.get('reconstructed') else - manifest['parents']['source_tables']) + dict(manifest['parents']['source_tables'])) except Exception: recorded = {} - if not isinstance(recorded, dict): - recorded = {} - try: - tables = graph._named_tables - except Exception: - return {} return { alias: _source_change(table, recorded.get(alias)) - for alias, table in tables.items() + for alias, table in graph._named_tables.items() } @property diff --git a/packages/kumo-engine/test/test_snapshot_export.py b/packages/kumo-engine/test/test_snapshot_export.py index 62822cd26..9a08c1e02 100644 --- a/packages/kumo-engine/test/test_snapshot_export.py +++ b/packages/kumo-engine/test/test_snapshot_export.py @@ -16,7 +16,6 @@ import pandas as pd import pytest from diskgraph import format_versions -from kumoapi.data_source import DataSourceType from pyarrow.fs import LocalFileSystem, SubTreeFileSystem import kumo.engine as kumo @@ -37,50 +36,34 @@ def use(name): kumo.configure(scratch_dir=previous) +@pytest.fixture +def exports(tmp_path): + return kumo.FileConnector(root_dir=str(tmp_path / 'exports')) + + def _index_files(path): return { str(file.relative_to(path)): file.read_bytes() for file in Path(path).rglob('*') if file.is_file() and file.name not in ('_SUCCESS', 'snapshot-manifest.json') + and not str(file.relative_to(path)).startswith('train_tables/') } -def _exported_files(snapshot): - return { - name: data - for name, data in _index_files(snapshot.index_path).items() - if not name.startswith('train_tables/') - } - - -@pytest.fixture -def exports(tmp_path): - return kumo.FileConnector(root_dir=str(tmp_path / 'exports')) - - def _export(snapshot, exports, tmp_path): location = snapshot.export(exports, 'one') return location, tmp_path / 'exports' / location -def _edit_manifest(exported, **changes): +def _edit_manifest(exported, edit): path = exported / 'kumo_snapshot.json' - path.write_text(json.dumps({**json.loads(path.read_text()), **changes})) - - -@pytest.fixture -def workers(monkeypatch): - @contextmanager - def four(found, worker_ceiling=None): - yield 4 - - monkeypatch.setattr('kumo_core.sources.object_store.copies', four) + manifest = json.loads(path.read_text()) + edit(manifest) + path.write_text(json.dumps(manifest)) -def _no_ingest(monkeypatch): - monkeypatch.setattr( - 'kumo_core.diskgraph.ingest.execute_diskgraph_ingest', - Mock(side_effect=AssertionError('ingest must not run'))) +def _load(exports, location, **kwargs): + return GraphSnapshot.load_from_connector(exports, path=location, **kwargs) def test_export_load_round_trip_relocates_and_is_reused( @@ -93,80 +76,57 @@ def test_export_load_round_trip_relocates_and_is_reused( assert location == f'one/{graph_id}/{data_version}' assert snapshot.export(exports, 'one') == location exported = tmp_path / 'exports' / location - assert _index_files(exported / 'index') == _exported_files(snapshot) manifest = json.loads((exported / 'kumo_snapshot.json').read_text()) - assert manifest['snapshot_id'] == snapshot.id assert manifest['snapshot'] == snapshot.manifest shutil.rmtree(tmp_path / 'cpu') scratch('gpu') - loaded = GraphSnapshot.load_from_connector(exports, path=location, - graph=graph) - assert loaded.id == snapshot.id - assert loaded.graph_config == snapshot.graph_config + loaded = _load(exports, location, graph=graph) + assert (loaded.id, loaded.graph_config) == (snapshot.id, + snapshot.graph_config) assert loaded.index_path.is_relative_to(tmp_path / 'gpu') assert _index_files(loaded.index_path) == _index_files(exported / 'index') - marker = json.loads((loaded.index_path / '_SUCCESS').read_text()) - assert marker['index_path'] == str(loaded.index_path) recorded = loaded.manifest - assert recorded.pop('loaded') == { - 'formats': format_versions(), - 'environment': manifest['environment'], - } + assert recorded.pop('loaded')['formats'] == format_versions() assert recorded == manifest['snapshot'] reexported = tmp_path / 'exports' / loaded.export(exports, 'two') assert json.loads((reexported / 'kumo_snapshot.json').read_text())[ 'snapshot'] == manifest['snapshot'] - _no_ingest(monkeypatch) + monkeypatch.setattr( + 'kumo_core.diskgraph.ingest.execute_diskgraph_ingest', + Mock(side_effect=AssertionError('ingest must not run'))) monkeypatch.setattr(snapshot_io, 'load_into', Mock(side_effect=AssertionError('already loaded'))) - assert GraphSnapshot.load_from_connector(exports, path=location) == loaded + assert _load(exports, location) == loaded assert graph.snapshot() == loaded -@pytest.mark.parametrize('damage', [False, True]) -def test_in_place_index_reuse_is_unchanged(scratch, graph, monkeypatch, - damage): - built = graph.snapshot() - marker = (built.index_path / '_SUCCESS').read_bytes() - if damage: - stats = built.index_path / 'col_stats.json' - stats.write_bytes(stats.read_bytes()[:-1]) - (built.index_path / 'extra.bin').write_bytes(b'x') - _no_ingest(monkeypatch) +def test_damaged_index_is_reused_by_snapshot_but_reloaded_by_load( + tmp_path, scratch, graph, exports, monkeypatch): + snapshot = graph.snapshot() + location, _ = _export(snapshot, exports, tmp_path) + expected = _index_files(snapshot.index_path) + stats = snapshot.index_path / 'col_stats.json' + stats.write_bytes(stats.read_bytes()[:-1]) with warnings.catch_warnings(): warnings.simplefilter('error') - assert graph.snapshot() == built - assert (built.index_path / '_SUCCESS').read_bytes() == marker + assert graph.snapshot() == snapshot + with pytest.warns(UserWarning, match='Reloading the damaged'): + loaded = _load(exports, location) + assert _index_files(loaded.index_path) == expected -def test_moved_index_is_rebuilt_as_before(tmp_path, scratch, graph): - built = graph.snapshot() - shutil.move(tmp_path / 'cpu', tmp_path / 'moved') - scratch('moved') - rebuilt = graph.snapshot() - assert rebuilt.id == built.id - marker = json.loads((rebuilt.index_path / '_SUCCESS').read_text()) - assert marker['index_path'] == str(rebuilt.index_path) +def test_interrupted_export_is_not_loadable_and_resumes( + tmp_path, scratch, graph, exports, monkeypatch): + @contextmanager + def four(found, worker_ceiling=None): + yield 4 -def test_load_replaces_a_damaged_local_copy( - tmp_path, scratch, graph, exports): + monkeypatch.setattr('kumo_core.sources.object_store.copies', four) snapshot = graph.snapshot() - location, _ = _export(snapshot, exports, tmp_path) - scratch('gpu') - loaded = GraphSnapshot.load_from_connector(exports, path=location) - stats = loaded.index_path / 'col_stats.json' - stats.write_bytes(stats.read_bytes()[:-1]) - with pytest.warns(UserWarning, match='Reloading the damaged'): - again = GraphSnapshot.load_from_connector(exports, path=location) - assert _index_files(again.index_path) == _exported_files(snapshot) - - -def _interrupt_export(snapshot, exports, monkeypatch): - stream = snapshot_io._stream - finished = threading.Event() + stream, finished = snapshot_io._stream, threading.Event() def interrupted(source, size, stop, write=None): if write is not None and source.name == 'diskgraph_config.json': @@ -177,42 +137,25 @@ def interrupted(source, size, stop, write=None): finished.set() return crcs - monkeypatch.setattr(snapshot_io, '_stream', interrupted) - monkeypatch.setattr(snapshot_io, '_ATTEMPTS', 1) - with pytest.raises(OSError, match='connection reset'): - snapshot.export(exports, 'one') - monkeypatch.setattr(snapshot_io, '_stream', stream) - monkeypatch.setattr(snapshot_io, '_ATTEMPTS', 3) - - -@pytest.mark.parametrize('change', [False, True]) -def test_interrupted_export_is_not_loadable_and_resumes( - tmp_path, scratch, graph, exports, monkeypatch, workers, change): - snapshot = graph.snapshot() - _interrupt_export(snapshot, exports, monkeypatch) + with monkeypatch.context() as patch: + patch.setattr(snapshot_io, '_stream', interrupted) + patch.setattr(snapshot_io, '_ATTEMPTS', 1) + with pytest.raises(OSError, match='connection reset'): + snapshot.export(exports, 'one') graph_id, data_version = snapshot.id.split('@') location = f'one/{graph_id}/{data_version}' with pytest.raises(FileNotFoundError, match='kumo_snapshot.json'): - GraphSnapshot.load_from_connector(exports, path=location) - if change: - stats = snapshot.index_path / 'col_stats.json' - data = stats.read_bytes() - stats.write_bytes(data[:-1] + bytes([data[-1] ^ 1])) - index_manifest = snapshot.index_path / '_MANIFEST.json' - index_manifest.write_bytes(index_manifest.read_bytes() + b' ') - + _load(exports, location) assert snapshot.export(exports, 'one') == location scratch('gpu') - loaded = GraphSnapshot.load_from_connector(exports, path=location) - assert (loaded.index_path / 'col_stats.json').read_bytes() == ( - snapshot.index_path / 'col_stats.json').read_bytes() + assert _index_files(_load(exports, location).index_path) == _index_files( + snapshot.index_path) -def test_concurrent_identical_exports_both_succeed(tmp_path, scratch, graph, - exports, monkeypatch): +def test_concurrent_exports_of_one_snapshot_both_succeed( + tmp_path, scratch, graph, exports, monkeypatch): snapshot = graph.snapshot() - parallel = snapshot_io._parallel - raced = [] + parallel, raced = snapshot_io._parallel, [] def racing(*args): if not raced: @@ -220,32 +163,24 @@ def racing(*args): raced[0] = snapshot.export(exports, 'one') return parallel(*args) - graph_id, data_version = snapshot.id.split('@') - location = f'one/{graph_id}/{data_version}' monkeypatch.setattr(snapshot_io, '_parallel', racing) - assert snapshot.export(exports, 'one') == location - assert raced == [location] - scratch('gpu') - loaded = GraphSnapshot.load_from_connector(exports, path=location) - assert _index_files(loaded.index_path) == _exported_files(snapshot) + assert raced == [snapshot.export(exports, 'one')] -def test_export_committed_by_a_late_identical_export_succeeds( - tmp_path, scratch, graph, exports, monkeypatch): - snapshot = graph.snapshot() - write = snapshot_io._write_json - raced = [] +def test_failed_upload_is_retried_with_a_fresh_client( + scratch, graph, exports, monkeypatch): + open_output, clients = snapshot_io._open_output, [] - def racing(filesystem, path, value): - if path.endswith('kumo_snapshot.json') and not raced: - raced.append(None) - raced[0] = snapshot.export(exports, 'one') - return write(filesystem, path, value) + def expiring(client, path): + if path.endswith('col_stats.json'): + clients.append(client) + if len(clients) == 1: + raise OSError('ExpiredToken') + return open_output(client, path) - monkeypatch.setattr(snapshot_io, '_write_json', racing) - location = snapshot.export(exports, 'one') - assert raced == [location] - assert not (tmp_path / 'exports' / location / '_EXPORTING').exists() + monkeypatch.setattr(snapshot_io, '_open_output', expiring) + graph.snapshot().export(exports, 'one') + assert len(clients) == 2 and clients[0] is not clients[1] def test_rerunning_export_repairs_a_committed_export( @@ -258,9 +193,6 @@ def test_rerunning_export_repairs_a_committed_export( (exported / 'index/index_metadata.json').unlink() assert snapshot.export(exports, 'one') == location assert stats.read_bytes() == original - scratch('gpu') - loaded = GraphSnapshot.load_from_connector(exports, path=location) - assert _index_files(loaded.index_path) == _exported_files(snapshot) def test_failed_load_leaves_nothing_and_restarts_cleanly( @@ -272,102 +204,69 @@ def test_failed_load_leaves_nothing_and_restarts_cleanly( stats.write_bytes(original[:-1] + bytes([original[-1] ^ 1])) scratch('gpu') - with pytest.raises(ValueError, match='checksum.*corrupt. Delete one/'): - GraphSnapshot.load_from_connector(exports, path=location) + with pytest.raises(ValueError, match='corrupt.*checksum'): + _load(exports, location) graph_dir = tmp_path / 'gpu/snapshots' / snapshot.index_path.parent.name assert not [path for path in graph_dir.iterdir() if path.suffix != '.lock'] stats.write_bytes(original) (graph_dir / f'{snapshot.index_path.name}.loading').mkdir() - (graph_dir / f'{snapshot.index_path.name}.loading/stale').write_text('x') - loaded = GraphSnapshot.load_from_connector(exports, path=location) - assert _index_files(loaded.index_path) == _exported_files(snapshot) + loaded = _load(exports, location) + assert _index_files(loaded.index_path) == _index_files(snapshot.index_path) assert [ path.name for path in graph_dir.iterdir() if path.suffix != '.lock' ] == [snapshot.index_path.name] -def test_load_needs_the_full_size_while_an_old_copy_remains( +def test_load_refuses_before_downloading_when_disk_is_too_small( tmp_path, scratch, graph, exports, monkeypatch): - snapshot = graph.snapshot() - location, exported = _export(snapshot, exports, tmp_path) - total = sum(entry['size'] for entry in json.loads( - (exported / 'kumo_snapshot.json').read_text())['files']) + location, _ = _export(graph.snapshot(), exports, tmp_path) scratch('gpu') - target = (tmp_path / 'gpu/snapshots' / snapshot.index_path.parent.name / - snapshot.index_path.name) - target.mkdir(parents=True) - (target / 'stale').write_bytes(b'x' * total) - monkeypatch.setattr( - snapshot_io.os, 'statvfs', - lambda path: SimpleNamespace(f_frsize=1, f_bavail=total - 1)) - with pytest.raises(OSError, match=f'needs {total} bytes'): - GraphSnapshot.load_from_connector(exports, path=location) - assert (target / 'stale').is_file() - - -@pytest.mark.parametrize('field, value', [ - ('data_version', '../../victim'), - ('files', [{ - 'path': '../../victim/x', - 'size': 1, - 'crc32': [0] - }]), + monkeypatch.setattr(snapshot_io.os, 'statvfs', + lambda path: SimpleNamespace(f_frsize=1, f_bavail=0)) + monkeypatch.setattr(snapshot_io, '_download', + Mock(side_effect=AssertionError('downloaded'))) + with pytest.raises(OSError, match='free bytes'): + _load(exports, location) + + +@pytest.mark.parametrize('edit', [ + lambda manifest: manifest.update(data_version='../../victim'), + lambda manifest: manifest['files'][0].update(path='../../victim/x'), + lambda manifest: manifest.pop('files'), + lambda manifest: manifest['files'].append(manifest['files'][0]), ]) -def test_load_rejects_a_hostile_manifest(tmp_path, scratch, graph, exports, - field, value): - snapshot = graph.snapshot() - location, exported = _export(snapshot, exports, tmp_path) +def test_load_rejects_a_hostile_or_malformed_manifest(tmp_path, scratch, graph, + exports, edit): + location, exported = _export(graph.snapshot(), exports, tmp_path) victim = tmp_path / 'victim' victim.mkdir() (victim / 'keep').write_text('x') - _edit_manifest(exported, **{field: value}) + _edit_manifest(exported, edit) scratch('gpu/a/b') with pytest.raises(ValueError): - GraphSnapshot.load_from_connector(exports, path=location) + _load(exports, location) assert (victim / 'keep').read_text() == 'x' -@pytest.mark.parametrize('edit', [ - lambda manifest: manifest.pop('files'), - lambda manifest: manifest.update(snapshot=[1]), - lambda manifest: manifest['files'][0].pop('crc32'), - lambda manifest: manifest['files'].append(manifest['files'][0]), -]) -def test_load_rejects_a_malformed_manifest_with_value_error( - tmp_path, scratch, graph, exports, edit): +def test_load_warns_instead_of_refusing_newer_or_foreign_exports( + tmp_path, scratch, graph, exports): snapshot = graph.snapshot() location, exported = _export(snapshot, exports, tmp_path) - path = exported / 'kumo_snapshot.json' - manifest = json.loads(path.read_text()) - edit(manifest) - path.write_text(json.dumps(manifest)) - scratch('gpu') - with pytest.raises(ValueError, match='corrupt. Delete one/'): - GraphSnapshot.load_from_connector(exports, path=location) - path.write_text('[]') - with pytest.raises(ValueError, match='not a JSON object'): - GraphSnapshot.load_from_connector(exports, path=location) + def newer(manifest): + manifest.update(format=2, added_later={'x': 1}) + for entry in manifest['files']: + entry['added_later'] = 1 -def test_load_records_differences_instead_of_refusing( - tmp_path, scratch, graph, exports, monkeypatch): - exporter_formats = {**format_versions(), 'layout': -1} - monkeypatch.setattr('diskgraph.format_versions', lambda: exporter_formats) - snapshot = graph.snapshot() - monkeypatch.undo() - location, exported = _export(snapshot, exports, tmp_path) - _edit_manifest(exported, format=2) + _edit_manifest(exported, newer) other = kumo.Graph(tables={'users': graph.tables['users']}) scratch('gpu') with pytest.warns(UserWarning) as caught: - loaded = GraphSnapshot.load_from_connector(exports, path=location, - graph=other) + loaded = _load(exports, location, graph=other) messages = ' '.join(str(warning.message) for warning in caught) - assert 'layout format 2' in messages and 'was taken of graph' in messages + assert 'layout format 2' in messages and 'another graph' in messages assert loaded.id == snapshot.id - assert loaded.manifest['formats'] == exporter_formats - assert loaded.manifest['loaded']['formats'] == format_versions() def test_export_refuses_a_path_holding_other_data(tmp_path, scratch, graph, @@ -381,10 +280,9 @@ def test_export_refuses_a_path_holding_other_data(tmp_path, scratch, graph, snapshot.export(exports, 'occupied') _, exported = _export(snapshot, exports, tmp_path) - _edit_manifest(exported, snapshot_id='other') + _edit_manifest(exported, lambda m: m.update(snapshot_id='other')) with pytest.raises(ValueError, match="snapshot 'other', not"): snapshot.export(exports, 'one') - assert (exported / 'index/col_stats.json').is_file() def test_rebuilt_snapshot_reexports_to_the_existing_export( @@ -392,96 +290,38 @@ def test_rebuilt_snapshot_reexports_to_the_existing_export( snapshot = graph.snapshot() location, exported = _export(snapshot, exports, tmp_path) committed = (exported / 'kumo_snapshot.json').read_bytes() - scratch('rebuilt/on/another/machine') + scratch('rebuilt') rebuilt = graph.snapshot() assert rebuilt.id == snapshot.id - assert (rebuilt.index_path / '_MANIFEST.json').read_bytes() != ( - snapshot.index_path / '_MANIFEST.json').read_bytes() - assert rebuilt.export(exports, 'one') == location assert (exported / 'kumo_snapshot.json').read_bytes() == committed - scratch('gpu') - loaded = GraphSnapshot.load_from_connector(exports, path=location) - assert _index_files(loaded.index_path) == _exported_files(snapshot) -@pytest.mark.parametrize('kind, reason', [ - ('SNOWFLAKE', 'Snowflake stages'), - ('DATABRICKS', 'Unity Catalog Volume'), - ('BIGQUERY', 'BigQuery'), -]) -def test_warehouse_connectors_are_not_supported(scratch, graph, kind, reason): - connector = type(f'{kind.title()}Connector', (), { - 'source_type': DataSourceType[kind], - })() - with pytest.raises(NotImplementedError, match=reason): +def test_warehouse_connectors_are_not_supported(scratch, graph): + connector = SimpleNamespace(sink_backend=object()) + with pytest.raises(NotImplementedError, match='FileConnector'): graph.snapshot().export(connector, 'x') - with pytest.raises(NotImplementedError, match=reason): - GraphSnapshot.load_from_connector(connector, path='x') - - -def test_interrupted_load_joins_workers_before_cleaning_up( - tmp_path, scratch, graph, exports, monkeypatch, workers): - snapshot = graph.snapshot() - location, _ = _export(snapshot, exports, tmp_path) - download = snapshot_io._download - running = threading.Event() - - def interrupted(root, staging, client, item, stop): - if item[0] == 'col_stats.json': - running.wait(10) - raise KeyboardInterrupt - running.set() - stop.wait(1) - download(root, staging, client, item, stop) - - monkeypatch.setattr(snapshot_io, '_download', interrupted) - scratch('gpu') - with pytest.raises(KeyboardInterrupt): - GraphSnapshot.load_from_connector(exports, path=location) - graph_dir = tmp_path / 'gpu/snapshots' / snapshot.index_path.parent.name - assert not [path for path in graph_dir.iterdir() if path.suffix != '.lock'] + with pytest.raises(NotImplementedError, match='FileConnector'): + _load(connector, 'x') def test_load_explains_an_index_the_installed_diskgraph_cannot_open( tmp_path, scratch, graph, exports): - snapshot = graph.snapshot() - location, exported = _export(snapshot, exports, tmp_path) + location, exported = _export(graph.snapshot(), exports, tmp_path) metadata = exported / 'index/index_metadata.json' garbage = b'{' * metadata.stat().st_size metadata.write_bytes(garbage) - manifest = json.loads((exported / 'kumo_snapshot.json').read_text()) - for entry in manifest['files']: - if entry['path'] == 'index_metadata.json': - entry['crc32'] = [zlib.crc32(garbage)] - manifest['snapshot']['formats'] = {'layout': -1} - manifest['snapshot']['environment']['kumo_engine'] = '0.0.1' - manifest['format'] = 2 - (exported / 'kumo_snapshot.json').write_text(json.dumps(manifest)) - scratch('gpu') - with pytest.raises(RuntimeError, match=r"formats \{'layout': -1\} by " - r'kumo-engine 0\.0\.1; installed are formats .*' - r'export layout format 2; this engine reads 1\)\. ' - 'The on-disk formats differ: rebuild'): - GraphSnapshot.load_from_connector(exports, path=location) + def unreadable(manifest): + for entry in manifest['files']: + if entry['path'] == 'index_metadata.json': + entry['crc32'] = [zlib.crc32(garbage)] + manifest['snapshot']['formats'] = {'layout': -1} - -def test_load_ignores_unknown_keys_and_a_missing_snapshot_manifest( - tmp_path, scratch, graph, exports): - snapshot = graph.snapshot() - location, exported = _export(snapshot, exports, tmp_path) - path = exported / 'kumo_snapshot.json' - manifest = json.loads(path.read_text()) - manifest['added_later'] = {'x': 1} - manifest['snapshot'] = None - for entry in manifest['files']: - entry['added_later'] = 1 - path.write_text(json.dumps(manifest)) + _edit_manifest(exported, unreadable) scratch('gpu') - loaded = GraphSnapshot.load_from_connector(exports, path=location) - assert loaded.id == snapshot.id - assert loaded.manifest is None + with pytest.raises(RuntimeError, match=r"formats \{'layout': -1\}"): + _load(exports, location) @pytest.mark.parametrize('scheme', ['s3', 'gs']) @@ -489,58 +329,21 @@ def test_object_store_round_trip(tmp_path, scratch, graph, monkeypatch, scheme): storage = tmp_path / 'storage' storage.mkdir() - bucket = SubTreeFileSystem(str(storage), LocalFileSystem()) - seen = [] - - def s3(bucket_name, *, options=None, **kwargs): - seen.append(options) - return bucket - monkeypatch.setattr('kumo_s3.filesystem', s3) - - class Gcs(SubTreeFileSystem): - def __init__(self): + class Bucket(SubTreeFileSystem): + def __init__(self, *args, **kwargs): super().__init__(str(storage), LocalFileSystem()) - monkeypatch.setattr('kumo_gcs.backend.fs.GcsFileSystem', Gcs) - + monkeypatch.setattr('kumo_s3.filesystem', Bucket) + monkeypatch.setattr('kumo_gcs.backend.fs.GcsFileSystem', Bucket) snapshot = graph.snapshot() connector = kumo.S3Connector() if scheme == 's3' else kumo.GCSConnector() location = snapshot.export(connector, f'{scheme}://bucket/snapshots/') graph_id, data_version = snapshot.id.split('@') assert location == f'{scheme}://bucket/snapshots/{graph_id}/{data_version}' - assert (storage / 'bucket/snapshots' / graph_id / data_version / - 'kumo_snapshot.json').is_file() - scratch('gpu') - loaded = GraphSnapshot.load_from_connector(connector, path=location, - graph=graph) - assert loaded.id == snapshot.id - assert _index_files(loaded.index_path) == _exported_files(snapshot) - if scheme == 's3': - assert seen and all( - option['allow_delayed_open'] and not option['background_writes'] - for option in seen) - - -def test_transfer_renews_an_expired_client(tmp_path, scratch, graph, exports, - monkeypatch): - snapshot = graph.snapshot() - location, _ = _export(snapshot, exports, tmp_path) - download = snapshot_io._download - failed = [] - - def expiring(root, staging, client, item, stop): - if item[0] == 'col_stats.json': - if not failed: - failed.append(client) - raise OSError('AWS Error ACCESS_DENIED: ExpiredToken') - assert client is not failed[0] - return download(root, staging, client, item, stop) - - monkeypatch.setattr(snapshot_io, '_download', expiring) scratch('gpu') - GraphSnapshot.load_from_connector(exports, path=location) - assert failed + loaded = _load(connector, location, graph=graph) + assert _index_files(loaded.index_path) == _index_files(snapshot.index_path) def _set_mtime(path, seconds): @@ -561,87 +364,46 @@ def dated(tmp_path, graph): return data -def _forbid_staging(monkeypatch): +def test_source_changes_reads_stamps_without_staging( + scratch, graph, dated, monkeypatch): from kumo_core.sources.object_store import ObjectStoreSourceReader from kumo.engine.connector.file import _FileSourceBackend + _set_mtime(dated / 'users.parquet', 1_700_002_800) + snapshot = graph.snapshot() fail = Mock(side_effect=AssertionError('must not stage')) monkeypatch.setattr('kumo_core.sources.prepare.read_table', fail) monkeypatch.setattr(ObjectStoreSourceReader, 'prepare', fail) monkeypatch.setattr(_FileSourceBackend, 'prepare_ingest', fail) - - -def test_source_changes_reads_stamps_without_staging( - scratch, graph, dated, monkeypatch): - snapshot = graph.snapshot() - _forbid_staging(monkeypatch) - unchanged = {'status': 'unchanged', 'recorded': '1700000123', - 'current': '1700000123'} - assert snapshot.source_changes(graph) == {'users': unchanged, - 'events': unchanged} - _rewrite_events(dated) - assert snapshot.source_changes(graph) == { - 'users': unchanged, - 'events': {'status': 'changed', 'recorded': '1700000123', - 'current': '1700009123'}, - } - - -def test_source_changes_unknown_for_hour_stamps_and_read_errors( - scratch, graph, dated, monkeypatch): - from kumo.engine.connector.file import _FileSourceBackend - - _set_mtime(dated / 'users.parquet', 1_700_002_800) - snapshot = graph.snapshot() - stamp = _FileSourceBackend.get_data_version - - def failing(self, connector, table_name, project_id=None): - if table_name == 'events.parquet': - raise OSError('listing failed') - return stamp(self, connector, table_name) - - monkeypatch.setattr(_FileSourceBackend, 'get_data_version', failing) assert snapshot.source_changes(graph) == { 'users': {'status': 'unknown', 'recorded': '1700002800', 'current': '1700002800'}, - 'events': {'status': 'unknown', 'recorded': '1700000123', - 'current': None}, + 'events': {'status': 'unchanged', 'recorded': '1700000123', + 'current': '1700000123'}, } + _rewrite_events(dated) + assert snapshot.source_changes(graph)['events'] == { + 'status': 'changed', 'recorded': '1700000123', 'current': '1700009123'} + + monkeypatch.setattr(_FileSourceBackend, 'get_data_version', + Mock(side_effect=OSError('listing failed'))) + assert snapshot.source_changes(graph)['events'] == { + 'status': 'unknown', 'recorded': '1700000123', 'current': None} -@pytest.mark.parametrize('edit', ['absent', 'reconstructed', 'missing', - 'malformed']) +@pytest.mark.parametrize('edit', ['absent', 'reconstructed']) def test_source_changes_unknown_without_a_recorded_version( scratch, graph, dated, edit): snapshot = graph.snapshot() path = snapshot.index_path / 'snapshot-manifest.json' - manifest = json.loads(path.read_text()) if edit == 'absent': path.unlink() - elif edit == 'reconstructed': - path.write_text(json.dumps({**manifest, 'reconstructed': True})) - elif edit == 'missing': - del manifest['parents']['source_tables']['users'] - path.write_text(json.dumps(manifest)) else: - path.write_text(json.dumps({**manifest, 'parents': []})) - changes = snapshot.source_changes(graph) - assert changes['users'] == {'status': 'unknown', 'recorded': None, - 'current': '1700000123'} - assert changes['events']['status'] == ( - 'unchanged' if edit == 'missing' else 'unknown') - - -def test_source_changes_unknown_for_a_moved_table(scratch, graph, dated): - snapshot = graph.snapshot() - path = snapshot.index_path / 'snapshot-manifest.json' - manifest = json.loads(path.read_text()) - manifest['parents']['source_tables']['users']['location'] += '.old' - path.write_text(json.dumps(manifest)) - changes = snapshot.source_changes(graph) - assert changes['users']['status'] == 'unknown' - assert changes['events']['status'] == 'unchanged' + path.write_text( + json.dumps({**json.loads(path.read_text()), 'reconstructed': True})) + assert {change['status'] for change in snapshot.source_changes( + graph).values()} == {'unknown'} def test_load_warns_only_with_graph_and_only_for_changed_tables( @@ -650,10 +412,10 @@ def test_load_warns_only_with_graph_and_only_for_changed_tables( scratch('gpu') with warnings.catch_warnings(): warnings.simplefilter('error') - GraphSnapshot.load_from_connector(exports, path=location, graph=graph) + _load(exports, location, graph=graph) _rewrite_events(dated) - GraphSnapshot.load_from_connector(exports, path=location) + _load(exports, location) with pytest.warns(UserWarning) as caught: - GraphSnapshot.load_from_connector(exports, path=location, graph=graph) + _load(exports, location, graph=graph) [message] = [str(warning.message) for warning in caught] assert 'source table(s) events;' in message diff --git a/packages/kumo-engine/test/test_snapshot_export_live.py b/packages/kumo-engine/test/test_snapshot_export_live.py index 9628cedbf..3c69b548a 100644 --- a/packages/kumo-engine/test/test_snapshot_export_live.py +++ b/packages/kumo-engine/test/test_snapshot_export_live.py @@ -1,15 +1,12 @@ # SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. # All rights reserved. # SPDX-License-Identifier: Apache-2.0 -"""Snapshot export and load through real S3 and GCS; each store is skipped -unless its writable root is set.""" import contextlib import os import uuid import pytest -from pyarrow.fs import FileSelector import kumo.engine as kumo from kumo.engine._scratch import get_scratch_dir @@ -25,9 +22,7 @@ def test_snapshot_round_trip_through_object_store(tmp_path, graph, scheme): root = ROOTS[scheme] if not root: - pytest.skip(f'LIVE SNAPSHOT {scheme.upper()} NOT RUN: set ' - f"KUMO_SNAPSHOT_LIVE_{'S3' if scheme == 's3' else 'GCS'}" - '_ROOT to a writable prefix') + pytest.skip('set KUMO_SNAPSHOT_LIVE_S3_ROOT / _GCS_ROOT to run') connector = kumo.S3Connector() if scheme == 's3' else kumo.GCSConnector() path = f"{root.rstrip('/')}/engine-snapshot-{uuid.uuid4().hex[:12]}" previous = get_scratch_dir() @@ -44,13 +39,6 @@ def test_snapshot_round_trip_through_object_store(tmp_path, graph, scheme): filesystem.delete_dir_contents(prefix, missing_dir_ok=True) with contextlib.suppress(OSError): filesystem.delete_dir(prefix) - assert not filesystem.get_file_info( - FileSelector(prefix, allow_not_found=True)) assert loaded.id == snapshot.id - for file in snapshot.index_path.rglob('*'): - relative = file.relative_to(snapshot.index_path) - if (file.is_file() - and file.name not in ('_SUCCESS', 'snapshot-manifest.json') - and relative.parts[0] != 'train_tables'): - assert (loaded.index_path / relative).read_bytes() == \ - file.read_bytes() + assert (loaded.index_path / 'col_stats.json').read_bytes() == ( + snapshot.index_path / 'col_stats.json').read_bytes() diff --git a/packages/kumo-s3/src/kumo_s3/backend.py b/packages/kumo-s3/src/kumo_s3/backend.py index d34effa5c..78e9c5390 100644 --- a/packages/kumo-s3/src/kumo_s3/backend.py +++ b/packages/kumo-s3/src/kumo_s3/backend.py @@ -109,8 +109,7 @@ def _filesystem(self, connector: Any, bucket: str, ) -> S3FileSystem: r"""A ready filesystem is taken as it is: it may address a service that is not AWS at all, and probing its bucket name against AWS would - answer for somebody else's bucket. ``options`` are extra - ``S3FileSystem`` keywords. + answer for somebody else's bucket. """ session, allow_anonymous, connection = self._resolved_session( From 6ca901755a5e5d5bedfc68b875c3f335695256ec Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 18:43:55 +0000 Subject: [PATCH 054/123] Move snapshot export checksums into DiskGraph and reuse its manifest Export and load computed per-range CRC32s in Python over every index byte, kept a second file list and commit protocol beside DiskGraph's _MANIFEST.json/_SUCCESS contract, and re-implemented helpers kumo-core already has (parallel runner, cleanup, directory fsync, snapshot verification, source location). DiskGraph gains snapshot_range_checksums next to verify_snapshot_integrity (shared manifest reader, rayon, 1 MiB buffers), exposed through the pybind module. Export computes it alongside the upload; load downloads, then runs verify_snapshot_integrity and the checksum pass on the staged copy. The export now lists files only in index/_MANIFEST.json and commits with index/_SUCCESS written last; kumo_snapshot.json keeps the snapshot metadata plus range_bytes and a crc32 map. Transfers run on kumo-core's run_in_parallel; a load pre-allocates files with posix_fallocate and removes a damaged copy before staging; _loaded uses LocalSnapshotStore.verify + rebased; source_changes reuses source_table and checks tables in parallel; GraphSnapshot gains graph_key and data_version. Verified: cargo test -p diskgraph-ingest snapshot_mirror (21 passed), pybind test_exception_exports (2), test_snapshot_export + test_snapshot_manifest (39), kumo-s3 (51 passed, 1 skipped). On a 13 GB index the Rust checksum pass takes 0.55 s versus 1.98 s for 64 Python threads with zlib; local export and load times are unchanged within noise (load is disk-bound) and load peak RSS is +65 MB. Co-Authored-By: Claude Opus 5.5 --- 3rdparty/notices/inventory.json | 4 +- THIRD-PARTY.txt | 2 +- packages/diskgraph/Cargo.lock | 1 + .../diskgraph/diskgraph-ingest/Cargo.toml | 1 + .../diskgraph-ingest/src/snapshot_mirror.rs | 134 ++++++- .../python/diskgraph/__init__.py | 2 + .../python/tests/test_exception_exports.py | 19 + .../diskgraph/diskgraph-pybind/src/lib.rs | 16 + .../third_party/artifact-manifest.json | 9 +- .../src/kumo_core/sources/object_store.py | 4 +- packages/kumo-engine/README.md | 4 +- .../kumo-engine/kumo/engine/_snapshot_io.py | 379 +++++++++--------- packages/kumo-engine/kumo/engine/graph.py | 84 ++-- .../kumo-engine/test/test_snapshot_export.py | 59 +-- 14 files changed, 459 insertions(+), 259 deletions(-) diff --git a/3rdparty/notices/inventory.json b/3rdparty/notices/inventory.json index d0dc3d7bc..c79d73931 100644 --- a/3rdparty/notices/inventory.json +++ b/3rdparty/notices/inventory.json @@ -515,6 +515,7 @@ "rust:cpp-demangle@0.4.5", "rust:cpufeatures@0.2.17", "rust:cpufeatures@0.3.0", + "rust:crc32fast@1.5.0", "rust:crossbeam-deque@0.8.6", "rust:crossbeam-epoch@0.9.21", "rust:crossbeam-utils@0.8.21", @@ -3642,7 +3643,8 @@ }, { "artifact_ids": [ - "diskgraph-extension" + "diskgraph-extension", + "diskgraph-ingest" ], "copyright": [ "Copyright (c) 2018 Sam Rijs, Alex Crichton and contributors" diff --git a/THIRD-PARTY.txt b/THIRD-PARTY.txt index 1394a494e..df85abc32 100644 --- a/THIRD-PARTY.txt +++ b/THIRD-PARTY.txt @@ -5152,7 +5152,7 @@ cpufeatures 0.3.0 crc32fast 1.5.0 ------------------------------------------------------------------------------ License : MIT OR Apache-2.0 - Distributed in: diskgraph._c.abi3.so + Distributed in: diskgraph._c.abi3.so, diskgraph/bin/ingest Copyright : Copyright (c) 2018 Sam Rijs, Alex Crichton and contributors Legal text c6596eb7be85: LICENSE-APACHE diff --git a/packages/diskgraph/Cargo.lock b/packages/diskgraph/Cargo.lock index be75fbfdd..233fec7c1 100644 --- a/packages/diskgraph/Cargo.lock +++ b/packages/diskgraph/Cargo.lock @@ -1739,6 +1739,7 @@ dependencies = [ "bytes", "chrono", "clap", + "crc32fast", "crossterm", "dashmap", "dirs", diff --git a/packages/diskgraph/diskgraph-ingest/Cargo.toml b/packages/diskgraph/diskgraph-ingest/Cargo.toml index 1f29515e3..d068650d2 100644 --- a/packages/diskgraph/diskgraph-ingest/Cargo.toml +++ b/packages/diskgraph/diskgraph-ingest/Cargo.toml @@ -55,6 +55,7 @@ epserde = { workspace = true } memmap2 = "0.9" libc = "0.2" rayon = "1" +crc32fast = "1.5" jemallocator = { version = "0.5", optional = true, features = ["profiling"] } jemalloc-ctl = { version = "0.5", optional = true } sysinfo = "0.30" diff --git a/packages/diskgraph/diskgraph-ingest/src/snapshot_mirror.rs b/packages/diskgraph/diskgraph-ingest/src/snapshot_mirror.rs index 7ea4edbcc..bfba23cfb 100644 --- a/packages/diskgraph/diskgraph-ingest/src/snapshot_mirror.rs +++ b/packages/diskgraph/diskgraph-ingest/src/snapshot_mirror.rs @@ -36,6 +36,7 @@ use anyhow::{Context, Result}; use object_store::path::Path as ObjectPath; use parking_lot::Mutex; use serde::{Deserialize, Serialize}; +use std::collections::BTreeMap; use diskgraph_fs::{CloudTransfer, CloudTransferTicket}; @@ -488,21 +489,9 @@ pub(crate) fn validate_manifest_rel_path(rel: &str) -> Result<(), &'static str> Ok(()) } -/// Verify the snapshot rooted at `output_dir` against its `_MANIFEST.json`. -/// Used by the consumer side after a Python-driven dataplane→local copy -/// completes, to catch lifecycle-mid-delete races and partial copies -/// before the snapshot is handed to a workload. -/// -/// Pass on success; [`CorruptionError`] on any deviation from the -/// manifest contract. Errors are precise about what failed so the -/// caller's alerting carries actionable detail (which file is missing, -/// expected vs actual size, etc.). -pub fn verify_snapshot_integrity(output_dir: &std::path::Path) -> std::result::Result<(), CorruptionError> { - let success_path = output_dir.join(SUCCESS_MARKER_FILENAME); - if !success_path.exists() { - return Err(CorruptionError::MissingSuccess(success_path)); - } - +/// Read and validate `_MANIFEST.json` at `output_dir`: schema version and +/// every rel_path's confinement to the snapshot root. +fn read_manifest(output_dir: &std::path::Path) -> std::result::Result { let manifest_path = output_dir.join(MANIFEST_FILENAME); let manifest_bytes = match std::fs::read(&manifest_path) { Ok(b) => b, @@ -548,6 +537,25 @@ pub fn verify_snapshot_integrity(output_dir: &std::path::Path) -> std::result::R }); } } + Ok(manifest) +} + +/// Verify the snapshot rooted at `output_dir` against its `_MANIFEST.json`. +/// Used by the consumer side after a Python-driven dataplane→local copy +/// completes, to catch lifecycle-mid-delete races and partial copies +/// before the snapshot is handed to a workload. +/// +/// Pass on success; [`CorruptionError`] on any deviation from the +/// manifest contract. Errors are precise about what failed so the +/// caller's alerting carries actionable detail (which file is missing, +/// expected vs actual size, etc.). +pub fn verify_snapshot_integrity(output_dir: &std::path::Path) -> std::result::Result<(), CorruptionError> { + let success_path = output_dir.join(SUCCESS_MARKER_FILENAME); + if !success_path.exists() { + return Err(CorruptionError::MissingSuccess(success_path)); + } + + let manifest = read_manifest(output_dir)?; let mut missing: Vec = Vec::new(); let mut size_mismatches: Vec<(String, u64, u64)> = Vec::new(); @@ -584,6 +592,71 @@ pub fn verify_snapshot_integrity(output_dir: &std::path::Path) -> std::result::R Ok(()) } +/// CRC-32 of every `range_bytes` span of each file `_MANIFEST.json` lists, +/// and of `_MANIFEST.json` itself, keyed by rel_path (an empty file has one +/// zero entry). Lets a copy of the snapshot be checked for content as well +/// as size; the manifest format is unchanged. +pub fn snapshot_range_checksums( + output_dir: &std::path::Path, + range_bytes: u64, +) -> std::result::Result>, CorruptionError> { + use rayon::prelude::*; + use std::os::unix::fs::FileExt; + + const CHUNK: u64 = 1 << 20; + if range_bytes == 0 { + return Err(CorruptionError::Io { + path: output_dir.to_path_buf(), + detail: "range_bytes must be positive".into(), + }); + } + let mut files = read_manifest(output_dir)?.files; + let manifest_size = std::fs::metadata(output_dir.join(MANIFEST_FILENAME)) + .map(|meta| meta.len()) + .unwrap_or(0); + files.push(ManifestEntry { + rel_path: MANIFEST_FILENAME.into(), + size_bytes: manifest_size, + }); + let ranges: Vec<(usize, u64)> = files + .iter() + .enumerate() + .flat_map(|(index, entry)| { + let count = entry.size_bytes.div_ceil(range_bytes).max(1); + (0..count).map(move |range| (index, range)) + }) + .collect(); + let crcs = ranges + .par_iter() + .map(|&(index, range)| { + let entry = &files[index]; + let path = output_dir.join(&entry.rel_path); + let io = |e: std::io::Error| CorruptionError::Io { + path: path.clone(), + detail: e.to_string(), + }; + let file = std::fs::File::open(&path).map_err(io)?; + let start = range * range_bytes; + let end = entry.size_bytes.min(start + range_bytes); + let mut hasher = crc32fast::Hasher::new(); + let mut buffer = vec![0u8; CHUNK.min(end - start) as usize]; + let mut offset = start; + while offset < end { + let length = CHUNK.min(end - offset) as usize; + file.read_exact_at(&mut buffer[..length], offset).map_err(io)?; + hasher.update(&buffer[..length]); + offset += length as u64; + } + Ok(hasher.finalize()) + }) + .collect::, CorruptionError>>()?; + let mut out: BTreeMap> = BTreeMap::new(); + for (&(index, _), crc) in ranges.iter().zip(crcs) { + out.entry(files[index].rel_path.clone()).or_default().push(crc); + } + Ok(out) +} + #[cfg(test)] mod tests { use super::*; @@ -933,4 +1006,35 @@ mod tests { verify_snapshot_integrity(local_root.path())?; Ok(()) } + + #[test] + fn range_checksums_cover_every_listed_file_and_the_manifest() { + let tmp = tempfile::tempdir().unwrap(); + let big: Vec = (0..10u32).flat_map(|i| i.to_le_bytes()).collect(); + write_marker_files(tmp.path(), &[("a.bin", &big), ("nested/empty", b"")]); + write_manifest( + tmp.path(), + vec![ + ManifestEntry { + rel_path: "a.bin".into(), + size_bytes: 40, + }, + ManifestEntry { + rel_path: "nested/empty".into(), + size_bytes: 0, + }, + ], + ); + let crcs = snapshot_range_checksums(tmp.path(), 16).unwrap(); + let manifest = std::fs::read(tmp.path().join(MANIFEST_FILENAME)).unwrap(); + assert_eq!(crcs["a.bin"], [&big[..16], &big[16..32], &big[32..]].map(crc32fast::hash)); + assert_eq!(crcs["nested/empty"], vec![0]); + assert_eq!(crcs[MANIFEST_FILENAME], manifest.chunks(16).map(crc32fast::hash).collect::>()); + + std::fs::write(tmp.path().join("a.bin"), &big[..20]).unwrap(); + assert!(matches!( + snapshot_range_checksums(tmp.path(), 16).unwrap_err(), + CorruptionError::Io { .. } + )); + } } diff --git a/packages/diskgraph/diskgraph-pybind/python/diskgraph/__init__.py b/packages/diskgraph/diskgraph-pybind/python/diskgraph/__init__.py index 548081716..5b9f5d0b6 100644 --- a/packages/diskgraph/diskgraph-pybind/python/diskgraph/__init__.py +++ b/packages/diskgraph/diskgraph-pybind/python/diskgraph/__init__.py @@ -40,6 +40,7 @@ write_success_marker, touch_success_marker, verify_snapshot_integrity, + snapshot_range_checksums, has_resumable_ingest, validated_index_resume_progress, compute_col_stats_for_parquet, @@ -141,6 +142,7 @@ def __getattr__(name): "write_success_marker", "touch_success_marker", "verify_snapshot_integrity", + "snapshot_range_checksums", "has_resumable_ingest", "validated_index_resume_progress", "compute_col_stats_for_parquet", diff --git a/packages/diskgraph/diskgraph-pybind/python/tests/test_exception_exports.py b/packages/diskgraph/diskgraph-pybind/python/tests/test_exception_exports.py index aa4eca8e9..d4b29806e 100644 --- a/packages/diskgraph/diskgraph-pybind/python/tests/test_exception_exports.py +++ b/packages/diskgraph/diskgraph-pybind/python/tests/test_exception_exports.py @@ -16,3 +16,22 @@ def test_public_corruption_error_catches_snapshot_verifier(tmp_path): def test_build_identity_is_exported(): assert diskgraph.__version__ assert diskgraph.BUILD_COMMIT + + +def test_snapshot_range_checksums_match_zlib(tmp_path): + import json + import zlib + + payload = bytes(range(256)) * 5 + (tmp_path / "a.bin").write_bytes(payload) + (tmp_path / "_MANIFEST.json").write_text(json.dumps({ + "schema_version": 1, + "files": [{"rel_path": "a.bin", "size_bytes": len(payload)}], + })) + crcs = diskgraph.snapshot_range_checksums(str(tmp_path), 512) + assert crcs["a.bin"] == [zlib.crc32(payload[i:i + 512]) + for i in range(0, len(payload), 512)] + assert crcs["_MANIFEST.json"] == [ + zlib.crc32((tmp_path / "_MANIFEST.json").read_bytes())] + with pytest.raises(diskgraph.DiskgraphCorruptionError): + diskgraph.snapshot_range_checksums(str(tmp_path / "missing"), 512) diff --git a/packages/diskgraph/diskgraph-pybind/src/lib.rs b/packages/diskgraph/diskgraph-pybind/src/lib.rs index e02bda485..a47daef4d 100644 --- a/packages/diskgraph/diskgraph-pybind/src/lib.rs +++ b/packages/diskgraph/diskgraph-pybind/src/lib.rs @@ -1553,6 +1553,21 @@ fn verify_snapshot_integrity(py: Python<'_>, output_dir: &str) -> PyResult<()> { .map_err(|e| DiskgraphCorruptionError::new_err(e.to_string())) } +/// CRC-32 of every `range_bytes` span of each file in the snapshot's +/// `_MANIFEST.json` and of the manifest itself, keyed by relative path. +#[pyfunction] +fn snapshot_range_checksums( + py: Python<'_>, + output_dir: &str, + range_bytes: u64, +) -> PyResult>> { + let output_dir = std::path::PathBuf::from(output_dir); + py.detach(|| { + diskgraph_ingest::snapshot_mirror::snapshot_range_checksums(&output_dir, range_bytes) + }) + .map_err(|e| DiskgraphCorruptionError::new_err(e.to_string())) +} + #[pyfunction] fn has_resumable_ingest(output_dir: &str) -> PyResult { diskgraph_ingest::initial_resume_phase(std::path::Path::new(output_dir)) @@ -1608,6 +1623,7 @@ fn diskgraph_pybind(m: &Bound<'_, PyModule>) -> PyResult<()> { m.add_function(wrap_pyfunction!(success_marker::write_success_marker, m)?)?; m.add_function(wrap_pyfunction!(success_marker::touch_success_marker, m)?)?; m.add_function(wrap_pyfunction!(verify_snapshot_integrity, m)?)?; + m.add_function(wrap_pyfunction!(snapshot_range_checksums, m)?)?; m.add_function(wrap_pyfunction!(has_resumable_ingest, m)?)?; m.add_function(wrap_pyfunction!(validated_index_resume_progress, m)?)?; m.add_function(wrap_pyfunction!(compute_col_stats_for_parquet, m)?)?; diff --git a/packages/diskgraph/third_party/artifact-manifest.json b/packages/diskgraph/third_party/artifact-manifest.json index 1f62d43ef..d22f0bc33 100644 --- a/packages/diskgraph/third_party/artifact-manifest.json +++ b/packages/diskgraph/third_party/artifact-manifest.json @@ -3241,6 +3241,13 @@ "source_kind": "registry-or-git", "version": "0.3.0" }, + { + "license": "MIT OR Apache-2.0", + "name": "crc32fast", + "source": "registry+https://github.com/rust-lang/crates.io-index", + "source_kind": "registry-or-git", + "version": "1.5.0" + }, { "license": "MIT OR Apache-2.0", "name": "crossbeam-deque", @@ -5202,6 +5209,6 @@ ] } ], - "cargo_lock_sha256": "297851eb08303a13a97f091c68cf3ce5ccac633ad3d7fe09724c1506e486cdaf", + "cargo_lock_sha256": "a1c319a5eb83c1a60f056c213932c12e385f0cff468da4db0021947f11b7aa07", "schema": 1 } diff --git a/packages/kumo-core/src/kumo_core/sources/object_store.py b/packages/kumo-core/src/kumo_core/sources/object_store.py index bf1058d07..701675ab3 100644 --- a/packages/kumo-core/src/kumo_core/sources/object_store.py +++ b/packages/kumo-core/src/kumo_core/sources/object_store.py @@ -68,6 +68,8 @@ from .types import ReadMode, StagedTable STREAMED_ONLY = staged_first(False) +#: The version of a source with no modification time. +UNDATED_VERSION = "-1" logger = logging.getLogger(__name__) @@ -102,7 +104,7 @@ def _source_version(path: str, entries: Sequence[Any]) -> str: if len(entries) == 1 and entries[0].path.rstrip("/") == path.rstrip("/"): latest = entries[0].mtime return (SourceVersion(epoch_second(latest), "timestamp") - if latest is not None else SourceVersion("-1")) + if latest is not None else SourceVersion(UNDATED_VERSION)) # A maximum mtime misses changes to older files and added/deleted parts. metadata = [ (entry.path, entry.size, getattr(entry, "mtime_ns", None), diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index 160ee3d9b..71c75bb4e 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -145,7 +145,9 @@ snapshot = GraphSnapshot.load_from_connector(S3Connector(), path=location) ``` `export` writes `///` and returns it; an -interrupted export resumes, and a load either completes or leaves nothing. +interrupted export resumes, and a load either completes or leaves nothing. The +export holds the DiskGraph index under `index/` with its own `_MANIFEST.json`; +`index/_SUCCESS` is written last, so a copy without it is incomplete. Snowflake, Databricks and BigQuery connectors cannot hold an export: use a `FileConnector` on a mounted volume (e.g. `/Volumes///`) or the S3/GCS connector on the bucket behind it. Load only from paths whose diff --git a/packages/kumo-engine/kumo/engine/_snapshot_io.py b/packages/kumo-engine/kumo/engine/_snapshot_io.py index c1e3f5fde..b09db4f37 100644 --- a/packages/kumo-engine/kumo/engine/_snapshot_io.py +++ b/packages/kumo-engine/kumo/engine/_snapshot_io.py @@ -7,12 +7,10 @@ import logging import os import re -import shutil import threading import time import warnings -import zlib -from concurrent.futures import FIRST_EXCEPTION, ThreadPoolExecutor, wait +from concurrent.futures import ThreadPoolExecutor from functools import partial from pathlib import Path from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple @@ -21,10 +19,10 @@ _FORMAT = 1 _MANIFEST = 'kumo_snapshot.json' -_EXPORTING = '_EXPORTING' +_INDEX_MANIFEST = '_MANIFEST.json' +_SUCCESS = '_SUCCESS' _RANGE_BYTES = 64 << 20 _CHUNK = 8 << 20 -_INDEX_MANIFEST = '_MANIFEST.json' _ATTEMPTS = 3 _KEY = re.compile('[0-9a-f]{64}') _PROGRESS_SECONDS = 30 @@ -46,10 +44,18 @@ def _location(connector: Any, path: str) -> Tuple[FileSystem, str]: return sink.filesystem(connector, path, parallel_uploads=True) +def _files(filesystem: FileSystem) -> Any: + from kumo_core.object_store_sink import _ArrowExportFiles + + return _ArrowExportFiles(filesystem, None) + + def _check_key(graph_key: Any, data_version: Any, snapshot_id: Any) -> None: + from kumo.engine.graph import _snapshot_id + if not (isinstance(graph_key, str) and isinstance(data_version, str) and _KEY.fullmatch(graph_key) and _KEY.fullmatch(data_version) - and snapshot_id == f'{graph_key}@{data_version[:16]}'): + and snapshot_id == _snapshot_id(graph_key, data_version)): raise ValueError(f'{snapshot_id!r} is not a snapshot id.') @@ -65,42 +71,50 @@ def renew(self, stale: FileSystem) -> None: self.current = self._make() -def _parallel(connector: Any, path: str, items: Sequence[Any], +class _Progress: + def __init__(self, action: str, path: str, total: int) -> None: + self.action, self.path, self.total = action, path, total + self.moved = 0 + self.started = self.logged = time.monotonic() + self._lock = threading.Lock() + + def add(self, size: int) -> None: + with self._lock: + self.moved += size + now = time.monotonic() + if (now - self.logged < _PROGRESS_SECONDS + and self.moved < self.total): + return + self.logged = now + logger.info('Snapshot %s of %s: %d of %d bytes, %.2f GB/s', + self.action, self.path, self.moved, self.total, + self.moved / max(now - self.started, 1e-9) / 1e9) + + +def _transfer(connector: Any, path: str, items: Sequence[Any], sizes: Sequence[int], work: Callable[..., Any], action: str) -> List[Any]: from kumo_core.sources.object_store import copies + from kumo_core.sources.parallel import run_in_parallel + if not items: + return [] stop = threading.Event() - total = sum(sizes) - with copies(items) as workers, ThreadPoolExecutor(workers) as pool: + with copies(items) as workers: # After `copies`: Arrow's IO pool size sets the connection pool. client = _Client(connector, path) logger.info('Snapshot %s of %s: %d files, %d bytes, %d workers', - action, path, len(items), total, workers) - started = time.monotonic() - futures = { - pool.submit(_retried, client, work, item, stop): size - for item, size in zip(items, sizes) - } - try: - pending, moved = set(futures), 0 - while pending: - done, pending = wait(pending, timeout=_PROGRESS_SECONDS, - return_when=FIRST_EXCEPTION) - for future in done: - if future.exception() is not None: - raise future.exception() - moved += futures[future] - elapsed = time.monotonic() - started - logger.info('Snapshot %s of %s: %d of %d bytes, %.2f GB/s', - action, path, moved, total, - moved / max(elapsed, 1e-9) / 1e9) - return [future.result() for future in futures] - except BaseException: - stop.set() - for future in futures: - future.cancel() - raise + action, path, len(items), sum(sizes), workers) + progress = _Progress(action, path, sum(sizes)) + + def run(item: Any, size: int) -> Any: + result = _retried(client, work, item, stop) + progress.add(size) + return result + + return run_in_parallel( + [partial(run, item, size) for item, size in zip(items, sizes)], + workers=workers, stop=stop) def _retried(client: _Client, work: Callable[..., Any], item: Any, @@ -130,59 +144,45 @@ def _stopped(stop: threading.Event) -> None: raise WorkCancelled('abandoned after another transfer failed') -def _stream(source: Path, size: int, stop: threading.Event, - write: Optional[Callable[[bytes], Any]] = None) -> List[int]: - crcs: List[int] = [] - with open(source, 'rb', buffering=0) as reader: - for offset in range(0, size, _CHUNK): - _stopped(stop) - chunk = reader.read(min(_CHUNK, size - offset)) - if len(chunk) != min(_CHUNK, size - offset): - raise OSError(f'{source} changed while it was exported') - if offset % _RANGE_BYTES == 0: - crcs.append(0) - crcs[-1] = zlib.crc32(chunk, crcs[-1]) - if write is not None: - write(chunk) - return crcs or [0] - - -def _read_json(filesystem: FileSystem, path: str) -> Optional[dict]: +def _read_json(filesystem: FileSystem, path: str) -> Optional[Any]: try: - with filesystem.open_input_stream(path) as reader: - return json.loads(reader.readall()) + return json.loads(_files(filesystem).read_text(path)) except FileNotFoundError: return None def _open_output(filesystem: FileSystem, path: str) -> Any: - if filesystem.type_name not in ('s3', 'gcs'): - filesystem.create_dir(path.rsplit('/', 1)[0], recursive=True) + _files(filesystem).makedirs(path.rsplit('/', 1)[0]) return filesystem.open_output_stream(path) -def _write_json(filesystem: FileSystem, path: str, value: dict) -> None: +def _write(filesystem: FileSystem, path: str, payload: bytes) -> None: with _open_output(filesystem, path) as writer: - writer.write(json.dumps(value).encode()) + writer.write(payload) + + +def _fingerprint(index_manifest: bytes) -> str: + return hashlib.sha256(index_manifest).hexdigest() def export(snapshot: Any, connector: Any, path: str) -> str: + from diskgraph import snapshot_range_checksums + from kumo.engine._provenance import environment source = Path(snapshot.index_path) - graph_key, data_version = source.parent.name, source.name + graph_key, data_version = snapshot.graph_key, snapshot.data_version _check_key(graph_key, data_version, snapshot.id) location = f"{path.rstrip('/')}/{graph_key}/{data_version[:16]}" index_manifest = (source / _INDEX_MANIFEST).read_bytes() - files = sorted([(entry['rel_path'], int(entry['size_bytes'])) - for entry in json.loads(index_manifest)['files']] + - [(_INDEX_MANIFEST, len(index_manifest))], - key=lambda file: -file[1]) - fingerprint = hashlib.sha256(index_manifest).hexdigest() - identity = {'snapshot_id': snapshot.id, 'index_manifest': fingerprint} + sizes = { + entry['rel_path']: int(entry['size_bytes']) + for entry in json.loads(index_manifest)['files'] + } + fingerprint = _fingerprint(index_manifest) filesystem, root = _location(connector, location) - def committed() -> Optional[dict]: + def recorded() -> Optional[dict]: existing = _read_json(filesystem, f'{root}/{_MANIFEST}') found = (existing.get('snapshot_id') if isinstance(existing, dict) else None) @@ -191,12 +191,11 @@ def committed() -> Optional[dict]: f'{snapshot.id!r}; remove it and re-export.') return existing - def finished() -> bool: - existing = committed() - if existing and existing.get('index_manifest') != fingerprint: - raise RuntimeError(f'Another build of {snapshot.id} was exported ' - f'to {location} meanwhile; re-export.') - return existing is not None + def build() -> Optional[str]: + return (recorded() or {}).get('index_manifest') + + def committed() -> bool: + return _files(filesystem).exists(f'{root}/index/{_SUCCESS}') def present() -> Dict[str, int]: return { @@ -207,67 +206,72 @@ def present() -> Dict[str, int]: if info.type is FileType.File } - def upload(client: FileSystem, file: Tuple[str, int], - stop: threading.Event) -> List[int]: - name, size = file - if uploaded.get(name) == size: - return _stream(source / name, size, stop) - with _open_output(client, f'{root}/index/{name}') as writer: - return _stream(source / name, size, stop, writer.write) - - existing = committed() - if existing is not None and existing.get('index_manifest') != fingerprint: - logger.info('Keeping the existing export of %s at %s', snapshot.id, - location) - return location - if existing is not None: + def upload(client: FileSystem, name: str, stop: threading.Event) -> None: + size = len(index_manifest) if name == _INDEX_MANIFEST else sizes[name] + with open(source / name, 'rb', buffering=0) as reader, _open_output( + client, f'{root}/index/{name}') as writer: + for offset in range(0, size, _CHUNK): + _stopped(stop) + chunk = reader.read(min(_CHUNK, size - offset)) + if len(chunk) != min(_CHUNK, size - offset): + raise OSError(f'{source / name} changed while it was ' + 'exported') + writer.write(chunk) + + def send(names: List[str], action: str) -> None: + names.sort(key=lambda name: -sizes.get(name, 0)) + _transfer(connector, location, names, + [sizes.get(name, len(index_manifest)) for name in names], + upload, action) + + if committed(): + if build() != fingerprint: + logger.info('Keeping the existing export of %s at %s', + snapshot.id, location) + return location uploaded = present() - stale = [file for file in files if uploaded.get(file[0]) != file[1]] - if stale: - _parallel(connector, location, stale, - [size for _, size in stale], upload, 'repair') + send([ + name for name, size in { + **sizes, _INDEX_MANIFEST: len(index_manifest) + }.items() if uploaded.get(name) != size + ], 'repair') return location - marker = _read_json(filesystem, f'{root}/{_EXPORTING}') - if not isinstance(marker, (dict, type(None))): - marker = {} - if marker is None and filesystem.get_file_info( + existing = recorded() + if existing is None and filesystem.get_file_info( FileSelector(root, allow_not_found=True)): raise ValueError(f'{location} is not empty; remove it and re-export.') - if marker is not None and marker.get('snapshot_id') != snapshot.id: - raise ValueError(f'{location} holds a partial export of another ' - 'snapshot; remove it and re-export.') - resume = (marker or {}).get('index_manifest') == fingerprint - _write_json(filesystem, f'{root}/{_EXPORTING}', identity) - uploaded = present() if resume else {} - crcs = _parallel(connector, location, files, [size for _, size in files], - upload, 'export') + resume = (existing or {}).get('index_manifest') == fingerprint + recorded_snapshot = snapshot.manifest + metadata = { + 'format': _FORMAT, + 'snapshot_id': snapshot.id, + 'graph_key': graph_key, + 'data_version': data_version, + 'index_manifest': fingerprint, + 'graph_config': snapshot.graph_config, + 'snapshot': None if recorded_snapshot is None else + {k: v + for k, v in recorded_snapshot.items() if k != 'loaded'}, + 'environment': environment(), + 'range_bytes': _RANGE_BYTES, + } + _write(filesystem, f'{root}/{_MANIFEST}', json.dumps(metadata).encode()) + with ThreadPoolExecutor(1) as pool: + checksums = pool.submit(snapshot_range_checksums, str(source), + _RANGE_BYTES) + uploaded = present() if resume else {} + send([ + name for name, size in sizes.items() if uploaded.get(name) != size + ], 'export') + metadata['crc32'] = checksums.result() filesystem, root = _location(connector, location) - if finished(): - return location - if (_read_json(filesystem, f'{root}/{_EXPORTING}') != identity - and not finished()): - raise RuntimeError(f'Another export to {location} started ' - 'meanwhile; re-export.') - recorded = snapshot.manifest - _write_json( - filesystem, f'{root}/{_MANIFEST}', { - 'format': _FORMAT, - 'snapshot_id': snapshot.id, - 'graph_key': graph_key, - 'data_version': data_version, - 'index_manifest': fingerprint, - 'graph_config': snapshot.graph_config, - 'snapshot': None if recorded is None else - {k: v for k, v in recorded.items() if k != 'loaded'}, - 'environment': environment(), - 'range_bytes': _RANGE_BYTES, - 'files': [{'path': name, 'size': size, 'crc32': file_crcs} - for (name, size), file_crcs in zip(files, crcs)], - }) - try: - filesystem.delete_file(f'{root}/{_EXPORTING}') - except FileNotFoundError: - pass + if build() != fingerprint: + raise RuntimeError(f'Another build of {snapshot.id} was exported to ' + f'{location} meanwhile; re-export.') + if not committed(): + _write(filesystem, f'{root}/{_MANIFEST}', json.dumps(metadata).encode()) + _write(filesystem, f'{root}/index/{_INDEX_MANIFEST}', index_manifest) + _write(filesystem, f'{root}/index/{_SUCCESS}', fingerprint.encode()) return location @@ -279,9 +283,10 @@ def _corrupt(path: str, detail: str) -> ValueError: def read(connector: Any, path: str) -> Tuple[str, dict]: filesystem, root = _location(connector, path) manifest = _read_json(filesystem, f'{root}/{_MANIFEST}') - if manifest is None: - raise FileNotFoundError(f'No complete snapshot export at {path} ' - f'({_MANIFEST} is missing); re-run export.') + if manifest is None or not _files(filesystem).exists( + f'{root}/index/{_SUCCESS}'): + raise FileNotFoundError(f'No complete snapshot export at {path}; ' + 're-run export.') if not isinstance(manifest, dict): raise _corrupt(path, 'manifest is not a JSON object') if manifest.get('format') != _FORMAT: @@ -291,31 +296,18 @@ def read(connector: Any, path: str) -> Tuple[str, dict]: UserWarning, stacklevel=3) _check_key(manifest.get('graph_key'), manifest.get('data_version'), manifest.get('snapshot_id')) - span, files = manifest.get('range_bytes'), manifest.get('files') - if (type(span) is not int or span <= 0 or not isinstance(files, list) + span, crcs = manifest.get('range_bytes'), manifest.get('crc32') + if (type(span) is not int or span <= 0 or not isinstance(crcs, dict) + or not isinstance(manifest.get('index_manifest'), str) or not isinstance(manifest.get('graph_config'), dict) or not isinstance(manifest.get('snapshot'), (dict, type(None)))): raise _corrupt(path, 'malformed manifest') - seen = set() - for entry in files: - name, size, crcs = ((entry.get('path'), entry.get('size'), - entry.get('crc32')) - if isinstance(entry, dict) else (None, None, None)) - if (not isinstance(name, str) or name.startswith('/') or '\\' in name - or any(part in ('', '.', '..') for part in name.split('/')) - or name in seen or type(size) is not int or size < 0 - or not isinstance(crcs, list) - or any(type(crc) is not int for crc in crcs) - or len(crcs) != max(-(-size // span), 1)): - raise _corrupt(path, f'bad file entry {name!r}') - seen.add(name) return root, manifest def _download(root: str, staging: Path, client: FileSystem, - item: Tuple[str, int, int, int], stop: threading.Event) -> None: - name, offset, length, expected = item - crc = 0 + item: Tuple[str, int, int], stop: threading.Event) -> None: + name, offset, length = item # Each open is a HEAD: pyarrow cannot open a file from a known size. with client.open_input_file(f'{root}/index/{name}') as reader: fd = os.open(staging / name, os.O_WRONLY) @@ -326,60 +318,96 @@ def _download(root: str, staging: Path, client: FileSystem, chunk = reader.read_at(want, start) if len(chunk) != want: raise ValueError(f'{name} is truncated') - crc = zlib.crc32(chunk, crc) os.pwrite(fd, chunk, start) getattr(os, 'fdatasync', os.fsync)(fd) finally: os.close(fd) - if crc != expected: - raise ValueError(f'{name} failed its checksum at offset {offset}') + + +def _index_files(path: str, root: str, manifest: dict, + connector: Any) -> Tuple[bytes, List[Tuple[str, int]]]: + from kumo_core.sources.layout import confined + + filesystem, _ = _location(connector, path) + with filesystem.open_input_stream( + f'{root}/index/{_INDEX_MANIFEST}') as reader: + index_manifest = reader.readall() + if _fingerprint(index_manifest) != manifest['index_manifest']: + raise _corrupt(path, f'{_INDEX_MANIFEST} is not the exported one') + try: + files = [(confined(entry['rel_path']), int(entry['size_bytes'])) + for entry in json.loads(index_manifest)['files']] + except Exception as error: + raise _corrupt(path, f'bad {_INDEX_MANIFEST}: {error}') from error + if len({name for name, _ in files}) != len(files): + raise _corrupt(path, f'{_INDEX_MANIFEST} lists a file twice') + return index_manifest, files def load_into(connector: Any, path: str, root: str, manifest: dict, target: Path) -> None: - from diskgraph import format_versions, verify_snapshot_integrity + from diskgraph import ( + DiskgraphCorruptionError, + format_versions, + snapshot_range_checksums, + verify_snapshot_integrity, + ) + from kumo_core.artifacts import FilesystemArtifactStore from kumo_core.diskgraph.snapshot import ( DiskgraphIngestResult, write_diskgraph_success_marker, ) + from kumo_core.sources.transfer import discard_destination from kumo.engine._manifest import write_manifest from kumo.engine._provenance import environment from kumo.engine.graph import SNAPSHOT_MANIFEST_FILE span = manifest['range_bytes'] - files = [(entry['path'], entry['size'], entry['crc32']) - for entry in manifest['files']] + index_manifest, files = _index_files(path, root, manifest, connector) staging = target.with_name(f'{target.name}.loading') - shutil.rmtree(staging, ignore_errors=True) + discard_destination(str(target)) + discard_destination(str(staging)) try: staging.mkdir(parents=True) - # Any old target stays until the rename. - needed = sum(size for _, size, _ in files) + needed = sum(size for _, size in files) disk = os.statvfs(staging) if disk.f_bavail * disk.f_frsize < needed: raise OSError(f'Loading this snapshot needs {needed} free bytes ' f'in {staging}.') - for name, size, _ in files: + for name, size in files: (staging / name).parent.mkdir(parents=True, exist_ok=True) fd = os.open(staging / name, os.O_WRONLY | os.O_CREAT | os.O_EXCL) try: - os.ftruncate(fd, size) + if size: + os.posix_fallocate(fd, 0, size) finally: os.close(fd) - ranges = sorted( - ((name, offset, min(span, size - offset), crcs[index]) - for name, size, crcs in files - for index, offset in enumerate(range(0, size, span))), - key=lambda item: -item[2]) + ranges = sorted(((name, offset, min(span, size - offset)) + for name, size in files + for offset in range(0, size, span)), + key=lambda item: -item[2]) try: - _parallel(connector, path, ranges, [item[2] for item in ranges], + _transfer(connector, path, ranges, [item[2] for item in ranges], partial(_download, root, staging), 'load') except ValueError as error: raise _corrupt(path, str(error)) from error + (staging / _INDEX_MANIFEST).write_bytes(index_manifest) write_diskgraph_success_marker(str(staging), DiskgraphIngestResult.for_index(target)) - verify_snapshot_integrity(str(staging)) + try: + verify_snapshot_integrity(str(staging)) + loaded = snapshot_range_checksums(str(staging), span) + except DiskgraphCorruptionError as error: + raise _corrupt(path, str(error)) from error + for name, crcs in sorted(loaded.items()): + expected = manifest['crc32'].get(name) + if crcs != expected: + offset = next((index * span for index, crc in enumerate(crcs) + if not expected or index >= len(expected) + or crc != expected[index]), 0) + raise _corrupt( + path, f'{name} failed its checksum at offset {offset}') _check_readable(staging, manifest) if manifest.get('snapshot') is not None: write_manifest( @@ -390,13 +418,12 @@ def load_into(connector: Any, path: str, root: str, manifest: dict, } }) for directory in sorted({(staging / name).parent - for name, _, _ in files} | {staging}): - _fsync(directory) - shutil.rmtree(target, ignore_errors=True) + for name, _ in files} | {staging}): + FilesystemArtifactStore._fsync_directory(directory) os.rename(staging, target) - _fsync(target.parent) + FilesystemArtifactStore._fsync_directory(target.parent) except BaseException: - shutil.rmtree(staging, ignore_errors=True) + discard_destination(str(staging)) raise @@ -411,11 +438,3 @@ def _check_readable(index: Path, manifest: dict) -> None: f'This DiskGraph cannot open the snapshot: built with formats ' f'{built}, installed are {format_versions()}. Rebuild it with ' 'this kumo-engine or load it with the exporting one.') from error - - -def _fsync(path: Path) -> None: - fd = os.open(path, os.O_RDONLY) - try: - os.fsync(fd) - finally: - os.close(fd) diff --git a/packages/kumo-engine/kumo/engine/graph.py b/packages/kumo-engine/kumo/engine/graph.py index 5fe5dbabb..8765b6c18 100644 --- a/packages/kumo-engine/kumo/engine/graph.py +++ b/packages/kumo-engine/kumo/engine/graph.py @@ -61,10 +61,10 @@ """ import json -import os +import threading import warnings from dataclasses import dataclass, field, replace -from functools import cached_property +from functools import cached_property, partial from pathlib import Path from typing import Any, Dict, Mapping, Optional, Sequence @@ -80,7 +80,7 @@ stamp, write_manifest, ) -from kumo.engine._provenance import source_location, source_table +from kumo.engine._provenance import source_table from kumo.engine._scratch import ( fingerprint, get_scratch_dir, @@ -223,26 +223,31 @@ def _lock(graph_key: str) -> Any: return FileLock(f'{persist_dir}.lock') -def _loaded(path: str) -> Optional[Any]: - from diskgraph import DiskgraphCorruptionError, verify_snapshot_integrity - from kumo_core.diskgraph.snapshot import check_diskgraph_output +def _loaded(store: Any, handle: Any) -> Optional[Any]: + from diskgraph import DiskgraphCorruptionError, read_success_marker + from kumo_core.diskgraph.snapshot import rebased - marker = check_diskgraph_output(path) - if marker is None or (os.path.realpath(marker.index_path) - != os.path.realpath(path)): + path = store.path(handle) + if read_success_marker(path) is None: return None try: - verify_snapshot_integrity(path) - except DiskgraphCorruptionError as error: + store.verify(handle) + return rebased(store, handle) + except (DiskgraphCorruptionError, ValueError) as error: warnings.warn(f"Reloading the damaged graph index at {path}: {error}", UserWarning, stacklevel=3) return None - return marker + + +def _snapshot_id(graph_key: str, data_version: str) -> str: + return f'{graph_key}@{data_version[:16]}' def _comparable(stamp: Any) -> bool: - # Views and unversioned sources are stamped on the hour; -1 is undated. - return (isinstance(stamp, str) and stamp != '-1' + from kumo_core.sources.object_store import UNDATED_VERSION + + # Views and unversioned sources are stamped on the hour. + return (isinstance(stamp, str) and stamp != UNDATED_VERSION and not (stamp.isdigit() and int(stamp) % 3600 == 0)) @@ -255,14 +260,13 @@ def _source_change(table: Table, recorded: Any) -> Dict[str, Any]: source = table.definition.source_table if not isinstance(source, CustomSQLSourceTable): connector = table.connector - kind = connector.source_type - same_source = (recorded.get('connector'), - recorded.get('location')) == ( - str(getattr(kind, 'value', kind)), - source_location(connector, table.table_name)) stamp = connector.source_backend.get_data_version( connector, table.table_name) - current = None if stamp is None else str(stamp) + now = source_table(connector, table.table_name, None, stamp) + current = now['version'] + same_source = (recorded.get('connector'), + recorded.get('location')) == (now['connector'], + now['location']) except Exception: current = None if not (same_source and _comparable(before) and _comparable(current)): @@ -307,6 +311,17 @@ class GraphSnapshot: graph_config: Dict[str, Any] record_sources: bool | None = field(default=None, compare=False) + @property + def graph_key(self) -> str: + """The `Graph.id` this snapshot was built from.""" + return Path(self.index_path).parent.name + + @property + def data_version(self) -> str: + """The full fingerprint of the source versions the index was built + from; `id` carries its first 16 characters.""" + return Path(self.index_path).name + def export(self, connector: Connector, path: str) -> str: r"""Copy the index to `//` and return that location; re-running resumes. @@ -338,15 +353,15 @@ def load_from_connector(cls, connector: Connector, *, path: str, if graph is not None and graph.id != graph_key: warnings.warn(f"Snapshot at {path} was taken of another graph.", UserWarning, stacklevel=2) - target = _store().path( - DiskgraphSnapshotHandle( - graph_key=graph_key, - graph_data_version=manifest['data_version'])) + store = _store() + handle = DiskgraphSnapshotHandle( + graph_key=graph_key, graph_data_version=manifest['data_version']) with _lock(graph_key): - result = _loaded(target) + result = _loaded(store, handle) if result is None: - load_into(connector, path, root, manifest, Path(target)) - result = _loaded(target) + load_into(connector, path, root, manifest, + Path(store.path(handle))) + result = _loaded(store, handle) snapshot = cls(id=manifest['snapshot_id'], index_path=Path(result.index_path), graph_config=manifest['graph_config']) @@ -372,10 +387,15 @@ def source_changes(self, graph: 'Graph') -> Dict[str, Dict[str, Any]]: dict(manifest['parents']['source_tables'])) except Exception: recorded = {} - return { - alias: _source_change(table, recorded.get(alias)) - for alias, table in graph._named_tables.items() - } + from kumo_core.sources.parallel import run_in_parallel + + tables = graph._named_tables + changes = run_in_parallel( + [ + partial(_source_change, table, recorded.get(alias)) + for alias, table in tables.items() + ], workers=max(1, min(len(tables), 16)), stop=threading.Event()) + return dict(zip(tables, changes)) @property def manifest(self) -> SnapshotManifest | None: @@ -714,7 +734,7 @@ def _snapshot_no_lock(self, graph_key: str, persist_dir: Path, ), ) - snapshot_id = f'{graph_key}@{data_version[:16]}' + snapshot_id = _snapshot_id(graph_key, data_version) _write_snapshot_manifest(result, snapshot_id, source_tables, record_sources, fresh=existing is None) diff --git a/packages/kumo-engine/test/test_snapshot_export.py b/packages/kumo-engine/test/test_snapshot_export.py index 9a08c1e02..be75eeeaa 100644 --- a/packages/kumo-engine/test/test_snapshot_export.py +++ b/packages/kumo-engine/test/test_snapshot_export.py @@ -2,6 +2,7 @@ # All rights reserved. # SPDX-License-Identifier: Apache-2.0 +import hashlib import json import os import shutil @@ -62,6 +63,16 @@ def _edit_manifest(exported, edit): path.write_text(json.dumps(manifest)) +def _edit_index_manifest(exported, edit): + path = exported / 'index/_MANIFEST.json' + manifest = json.loads(path.read_text()) + edit(manifest) + path.write_text(json.dumps(manifest)) + _edit_manifest( + exported, lambda m: m.update( + index_manifest=hashlib.sha256(path.read_bytes()).hexdigest())) + + def _load(exports, location, **kwargs): return GraphSnapshot.load_from_connector(exports, path=location, **kwargs) @@ -126,25 +137,24 @@ def four(found, worker_ceiling=None): monkeypatch.setattr('kumo_core.sources.object_store.copies', four) snapshot = graph.snapshot() - stream, finished = snapshot_io._stream, threading.Event() + open_output, finished = snapshot_io._open_output, threading.Event() - def interrupted(source, size, stop, write=None): - if write is not None and source.name == 'diskgraph_config.json': + def interrupted(client, path): + if path.endswith('diskgraph_config.json'): finished.wait(10) raise OSError('connection reset') - crcs = stream(source, size, stop, write) - if write is not None and source.name == 'col_stats.json': + if path.endswith('col_stats.json'): finished.set() - return crcs + return open_output(client, path) with monkeypatch.context() as patch: - patch.setattr(snapshot_io, '_stream', interrupted) + patch.setattr(snapshot_io, '_open_output', interrupted) patch.setattr(snapshot_io, '_ATTEMPTS', 1) with pytest.raises(OSError, match='connection reset'): snapshot.export(exports, 'one') graph_id, data_version = snapshot.id.split('@') location = f'one/{graph_id}/{data_version}' - with pytest.raises(FileNotFoundError, match='kumo_snapshot.json'): + with pytest.raises(FileNotFoundError, match='No complete snapshot'): _load(exports, location) assert snapshot.export(exports, 'one') == location scratch('gpu') @@ -155,15 +165,15 @@ def interrupted(source, size, stop, write=None): def test_concurrent_exports_of_one_snapshot_both_succeed( tmp_path, scratch, graph, exports, monkeypatch): snapshot = graph.snapshot() - parallel, raced = snapshot_io._parallel, [] + transfer, raced = snapshot_io._transfer, [] def racing(*args): if not raced: raced.append(None) raced[0] = snapshot.export(exports, 'one') - return parallel(*args) + return transfer(*args) - monkeypatch.setattr(snapshot_io, '_parallel', racing) + monkeypatch.setattr(snapshot_io, '_transfer', racing) assert raced == [snapshot.export(exports, 'one')] @@ -230,19 +240,20 @@ def test_load_refuses_before_downloading_when_disk_is_too_small( _load(exports, location) -@pytest.mark.parametrize('edit', [ - lambda manifest: manifest.update(data_version='../../victim'), - lambda manifest: manifest['files'][0].update(path='../../victim/x'), - lambda manifest: manifest.pop('files'), - lambda manifest: manifest['files'].append(manifest['files'][0]), +@pytest.mark.parametrize('index, edit', [ + (False, lambda manifest: manifest.update(data_version='../../victim')), + (False, lambda manifest: manifest.pop('crc32')), + (True, lambda manifest: manifest['files'][0].update( + rel_path='../../victim/x')), + (True, lambda manifest: manifest['files'].append(manifest['files'][0])), ]) def test_load_rejects_a_hostile_or_malformed_manifest(tmp_path, scratch, graph, - exports, edit): + exports, index, edit): location, exported = _export(graph.snapshot(), exports, tmp_path) victim = tmp_path / 'victim' victim.mkdir() (victim / 'keep').write_text('x') - _edit_manifest(exported, edit) + (_edit_index_manifest if index else _edit_manifest)(exported, edit) scratch('gpu/a/b') with pytest.raises(ValueError): _load(exports, location) @@ -254,12 +265,8 @@ def test_load_warns_instead_of_refusing_newer_or_foreign_exports( snapshot = graph.snapshot() location, exported = _export(snapshot, exports, tmp_path) - def newer(manifest): - manifest.update(format=2, added_later={'x': 1}) - for entry in manifest['files']: - entry['added_later'] = 1 - - _edit_manifest(exported, newer) + _edit_manifest(exported, + lambda m: m.update(format=2, added_later={'x': 1})) other = kumo.Graph(tables={'users': graph.tables['users']}) scratch('gpu') with pytest.warns(UserWarning) as caught: @@ -313,9 +320,7 @@ def test_load_explains_an_index_the_installed_diskgraph_cannot_open( metadata.write_bytes(garbage) def unreadable(manifest): - for entry in manifest['files']: - if entry['path'] == 'index_metadata.json': - entry['crc32'] = [zlib.crc32(garbage)] + manifest['crc32']['index_metadata.json'] = [zlib.crc32(garbage)] manifest['snapshot']['formats'] = {'layout': -1} _edit_manifest(exported, unreadable) From f8563b42541bc9290f93f2ea5a2f04be557f256e Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 18:45:54 +0000 Subject: [PATCH 055/123] Check loaded snapshots with what DiskGraph already stamps The rebased snapshot manifest no longer records format versions and DiskGraph no longer exposes format_versions(). A loaded snapshot's manifest now records only the loading environment; an index this DiskGraph cannot open surfaces SamplerEngine's own error with the exporting kumo-engine version, and directory fsyncs use kumo-core's fsync_directory. Verified: test_snapshot_export + test_snapshot_manifest (42 passed). Co-Authored-By: Claude Opus 5.5 --- .../kumo-engine/kumo/engine/_snapshot_io.py | 20 +++++++++---------- .../kumo-engine/test/test_snapshot_export.py | 7 +++---- 2 files changed, 12 insertions(+), 15 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/_snapshot_io.py b/packages/kumo-engine/kumo/engine/_snapshot_io.py index b09db4f37..7982bb51d 100644 --- a/packages/kumo-engine/kumo/engine/_snapshot_io.py +++ b/packages/kumo-engine/kumo/engine/_snapshot_io.py @@ -348,15 +348,14 @@ def load_into(connector: Any, path: str, root: str, manifest: dict, target: Path) -> None: from diskgraph import ( DiskgraphCorruptionError, - format_versions, snapshot_range_checksums, verify_snapshot_integrity, ) - from kumo_core.artifacts import FilesystemArtifactStore from kumo_core.diskgraph.snapshot import ( DiskgraphIngestResult, write_diskgraph_success_marker, ) + from kumo_core.io.filesystem import fsync_directory from kumo_core.sources.transfer import discard_destination from kumo.engine._manifest import write_manifest @@ -413,28 +412,27 @@ def load_into(connector: Any, path: str, root: str, manifest: dict, write_manifest( staging / SNAPSHOT_MANIFEST_FILE, { **manifest['snapshot'], 'loaded': { - 'formats': format_versions(), - 'environment': environment(), + 'environment': environment() } }) for directory in sorted({(staging / name).parent for name, _ in files} | {staging}): - FilesystemArtifactStore._fsync_directory(directory) + fsync_directory(directory) os.rename(staging, target) - FilesystemArtifactStore._fsync_directory(target.parent) + fsync_directory(target.parent) except BaseException: discard_destination(str(staging)) raise def _check_readable(index: Path, manifest: dict) -> None: - from diskgraph import SamplerEngine, format_versions + from diskgraph import SamplerEngine try: SamplerEngine(str(index), num_threads=1) except Exception as error: - built = (manifest.get('snapshot') or {}).get('formats') + built = (manifest.get('environment') or {}).get('kumo_engine') raise RuntimeError( - f'This DiskGraph cannot open the snapshot: built with formats ' - f'{built}, installed are {format_versions()}. Rebuild it with ' - 'this kumo-engine or load it with the exporting one.') from error + f'This DiskGraph cannot open the snapshot exported by kumo-engine ' + f'{built} ({error}). Rebuild it with this kumo-engine or load it ' + 'with the exporting one.') from error diff --git a/packages/kumo-engine/test/test_snapshot_export.py b/packages/kumo-engine/test/test_snapshot_export.py index be75eeeaa..446dd4b77 100644 --- a/packages/kumo-engine/test/test_snapshot_export.py +++ b/packages/kumo-engine/test/test_snapshot_export.py @@ -16,7 +16,6 @@ import pandas as pd import pytest -from diskgraph import format_versions from pyarrow.fs import LocalFileSystem, SubTreeFileSystem import kumo.engine as kumo @@ -98,7 +97,7 @@ def test_export_load_round_trip_relocates_and_is_reused( assert loaded.index_path.is_relative_to(tmp_path / 'gpu') assert _index_files(loaded.index_path) == _index_files(exported / 'index') recorded = loaded.manifest - assert recorded.pop('loaded')['formats'] == format_versions() + assert set(recorded.pop('loaded')) == {'environment'} assert recorded == manifest['snapshot'] reexported = tmp_path / 'exports' / loaded.export(exports, 'two') assert json.loads((reexported / 'kumo_snapshot.json').read_text())[ @@ -321,11 +320,11 @@ def test_load_explains_an_index_the_installed_diskgraph_cannot_open( def unreadable(manifest): manifest['crc32']['index_metadata.json'] = [zlib.crc32(garbage)] - manifest['snapshot']['formats'] = {'layout': -1} + manifest['environment']['kumo_engine'] = '0.0.1' _edit_manifest(exported, unreadable) scratch('gpu') - with pytest.raises(RuntimeError, match=r"formats \{'layout': -1\}"): + with pytest.raises(RuntimeError, match='exported by kumo-engine 0.0.1'): _load(exports, location) From a51952c518d9d7b2e9b491016c59e3487e7b2389 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 18:47:07 +0000 Subject: [PATCH 056/123] Derive GraphSnapshot.graph_key from the snapshot id A snapshot built or loaded by this package sits at / in the store, but a GraphSnapshot constructed elsewhere need not, so read the graph id from the id itself. Export still checks that the id and the index directory agree. Verified: test_snapshot_export (23 passed). Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/kumo/engine/graph.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/packages/kumo-engine/kumo/engine/graph.py b/packages/kumo-engine/kumo/engine/graph.py index 8765b6c18..87453382e 100644 --- a/packages/kumo-engine/kumo/engine/graph.py +++ b/packages/kumo-engine/kumo/engine/graph.py @@ -314,7 +314,7 @@ class GraphSnapshot: @property def graph_key(self) -> str: """The `Graph.id` this snapshot was built from.""" - return Path(self.index_path).parent.name + return self.id.partition('@')[0] @property def data_version(self) -> str: From 660c41b72e7bdd28b22d41259ed9d961451c0e4b Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 21:14:51 +0000 Subject: [PATCH 057/123] Make snapshot export atomic and pass the snapshot manifest through Export resumed by file name and size and reused an existing export by a hash of the file listing, so an interrupted export resumed against a different build could commit mismatched files. An unknown export format was read as format 1, a newer snapshot manifest was dropped on export, and source_changes guessed hour buckets from round timestamps. Export now removes kumo_snapshot.json and the rest of the location first, uploads every file, and writes kumo_snapshot.json with the range CRCs last; there is no resume, reuse or index/_SUCCESS. snapshot-manifest.json is copied byte for byte (a reconstructed one is written when the snapshot has none) and restored unchanged on load. Loads reject unknown formats. source_changes compares only exact or timestamp versions, using the snapshot's record_locations choice. Verified with the snapshot export, manifest and kumo-s3 tests. Co-Authored-By: Claude Opus 5.5 --- .../src/kumo_core/sources/object_store.py | 4 +- packages/kumo-engine/README.md | 18 +- .../kumo-engine/kumo/engine/_snapshot_io.py | 165 +++++++----------- packages/kumo-engine/kumo/engine/graph.py | 27 +-- .../kumo-engine/test/test_snapshot_export.py | 108 ++++++------ 5 files changed, 150 insertions(+), 172 deletions(-) diff --git a/packages/kumo-core/src/kumo_core/sources/object_store.py b/packages/kumo-core/src/kumo_core/sources/object_store.py index 701675ab3..bf1058d07 100644 --- a/packages/kumo-core/src/kumo_core/sources/object_store.py +++ b/packages/kumo-core/src/kumo_core/sources/object_store.py @@ -68,8 +68,6 @@ from .types import ReadMode, StagedTable STREAMED_ONLY = staged_first(False) -#: The version of a source with no modification time. -UNDATED_VERSION = "-1" logger = logging.getLogger(__name__) @@ -104,7 +102,7 @@ def _source_version(path: str, entries: Sequence[Any]) -> str: if len(entries) == 1 and entries[0].path.rstrip("/") == path.rstrip("/"): latest = entries[0].mtime return (SourceVersion(epoch_second(latest), "timestamp") - if latest is not None else SourceVersion(UNDATED_VERSION)) + if latest is not None else SourceVersion("-1")) # A maximum mtime misses changes to older files and added/deleted parts. metadata = [ (entry.path, entry.size, getattr(entry, "mtime_ns", None), diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index 71c75bb4e..7cf4570c6 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -144,10 +144,14 @@ location = graph.snapshot().export(S3Connector(), "s3://bucket/snapshots") snapshot = GraphSnapshot.load_from_connector(S3Connector(), path=location) ``` -`export` writes `///` and returns it; an -interrupted export resumes, and a load either completes or leaves nothing. The -export holds the DiskGraph index under `index/` with its own `_MANIFEST.json`; -`index/_SUCCESS` is written last, so a copy without it is incomplete. +`export` writes `///` and returns it. It first +removes `kumo_snapshot.json` and anything else at that location, uploads every +file, and writes `kumo_snapshot.json` (with per-range CRC32s) last, so an +interrupted export is never loadable and re-running starts over. A load either +completes or leaves nothing; a load that overlaps a re-export of the same +location can fail and should be retried. To keep several builds of one +snapshot (for example from two engine versions), export them to different +paths. Snowflake, Databricks and BigQuery connectors cannot hold an export: use a `FileConnector` on a mounted volume (e.g. `/Volumes///`) or the S3/GCS connector on the bucket behind it. Load only from paths whose @@ -161,9 +165,9 @@ on since the snapshot was built, from metadata only: "events": {"status": "changed", "recorded": "1792539971", "current": "1792539974"}} ``` -The status is `unknown` when there is nothing reliable to compare (no recorded -version, a different source location, Custom SQL, or an hour-aligned stamp from -a view). `load_from_connector(..., graph=graph)` warns when tables `changed`. +The status is `unknown` when there is nothing reliable to compare: no recorded +version, a different connector or location, Custom SQL, or a version whose +`version_kind` is `hour_bucket` or `unknown` (views, undated sources). `load_from_connector(..., graph=graph)` warns when tables `changed`. The return values expose the retained files directly: diff --git a/packages/kumo-engine/kumo/engine/_snapshot_io.py b/packages/kumo-engine/kumo/engine/_snapshot_io.py index 7982bb51d..4f0b7ac97 100644 --- a/packages/kumo-engine/kumo/engine/_snapshot_io.py +++ b/packages/kumo-engine/kumo/engine/_snapshot_io.py @@ -9,18 +9,16 @@ import re import threading import time -import warnings from concurrent.futures import ThreadPoolExecutor from functools import partial from pathlib import Path -from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple +from typing import Any, Callable, List, Optional, Sequence, Tuple -from pyarrow.fs import FileSelector, FileSystem, FileType +from pyarrow.fs import FileSystem _FORMAT = 1 _MANIFEST = 'kumo_snapshot.json' _INDEX_MANIFEST = '_MANIFEST.json' -_SUCCESS = '_SUCCESS' _RANGE_BYTES = 64 << 20 _CHUNK = 8 << 20 _ATTEMPTS = 3 @@ -165,10 +163,26 @@ def _fingerprint(index_manifest: bytes) -> str: return hashlib.sha256(index_manifest).hexdigest() +def _snapshot_manifest(snapshot: Any) -> bytes: + from kumo.engine._manifest import new_manifest + from kumo.engine.graph import SNAPSHOT_MANIFEST_FILE + + try: + return (Path(snapshot.index_path) / SNAPSHOT_MANIFEST_FILE).read_bytes() + except OSError: + manifest = new_manifest('graph_snapshot', snapshot.id, + {'source_tables': {}}, created_at=None, + environment=None, scheduler=None, + reconstructed=True) + return (json.dumps(manifest, indent=2, sort_keys=True) + + '\n').encode() + + def export(snapshot: Any, connector: Any, path: str) -> str: from diskgraph import snapshot_range_checksums from kumo.engine._provenance import environment + from kumo.engine.graph import SNAPSHOT_MANIFEST_FILE source = Path(snapshot.index_path) graph_key, data_version = snapshot.graph_key, snapshot.data_version @@ -179,35 +193,14 @@ def export(snapshot: Any, connector: Any, path: str) -> str: entry['rel_path']: int(entry['size_bytes']) for entry in json.loads(index_manifest)['files'] } - fingerprint = _fingerprint(index_manifest) + snapshot_manifest = _snapshot_manifest(snapshot) filesystem, root = _location(connector, location) - - def recorded() -> Optional[dict]: - existing = _read_json(filesystem, f'{root}/{_MANIFEST}') - found = (existing.get('snapshot_id') - if isinstance(existing, dict) else None) - if existing is not None and found != snapshot.id: - raise ValueError(f'{location} holds snapshot {found!r}, not ' - f'{snapshot.id!r}; remove it and re-export.') - return existing - - def build() -> Optional[str]: - return (recorded() or {}).get('index_manifest') - - def committed() -> bool: - return _files(filesystem).exists(f'{root}/index/{_SUCCESS}') - - def present() -> Dict[str, int]: - return { - info.path[len(root) + len('/index/'):]: info.size - for info in filesystem.get_file_info( - FileSelector(f'{root}/index', recursive=True, - allow_not_found=True)) - if info.type is FileType.File - } + if _files(filesystem).exists(f'{root}/{_MANIFEST}'): + filesystem.delete_file(f'{root}/{_MANIFEST}') + filesystem.delete_dir_contents(root, missing_dir_ok=True) def upload(client: FileSystem, name: str, stop: threading.Event) -> None: - size = len(index_manifest) if name == _INDEX_MANIFEST else sizes[name] + size = sizes[name] with open(source / name, 'rb', buffering=0) as reader, _open_output( client, f'{root}/index/{name}') as writer: for offset in range(0, size, _CHUNK): @@ -218,60 +211,29 @@ def upload(client: FileSystem, name: str, stop: threading.Event) -> None: 'exported') writer.write(chunk) - def send(names: List[str], action: str) -> None: - names.sort(key=lambda name: -sizes.get(name, 0)) - _transfer(connector, location, names, - [sizes.get(name, len(index_manifest)) for name in names], - upload, action) - - if committed(): - if build() != fingerprint: - logger.info('Keeping the existing export of %s at %s', - snapshot.id, location) - return location - uploaded = present() - send([ - name for name, size in { - **sizes, _INDEX_MANIFEST: len(index_manifest) - }.items() if uploaded.get(name) != size - ], 'repair') - return location - existing = recorded() - if existing is None and filesystem.get_file_info( - FileSelector(root, allow_not_found=True)): - raise ValueError(f'{location} is not empty; remove it and re-export.') - resume = (existing or {}).get('index_manifest') == fingerprint - recorded_snapshot = snapshot.manifest - metadata = { - 'format': _FORMAT, - 'snapshot_id': snapshot.id, - 'graph_key': graph_key, - 'data_version': data_version, - 'index_manifest': fingerprint, - 'graph_config': snapshot.graph_config, - 'snapshot': None if recorded_snapshot is None else - {k: v - for k, v in recorded_snapshot.items() if k != 'loaded'}, - 'environment': environment(), - 'range_bytes': _RANGE_BYTES, - } - _write(filesystem, f'{root}/{_MANIFEST}', json.dumps(metadata).encode()) + names = sorted(sizes, key=lambda name: -sizes[name]) with ThreadPoolExecutor(1) as pool: checksums = pool.submit(snapshot_range_checksums, str(source), _RANGE_BYTES) - uploaded = present() if resume else {} - send([ - name for name, size in sizes.items() if uploaded.get(name) != size - ], 'export') - metadata['crc32'] = checksums.result() + _transfer(connector, location, names, [sizes[name] for name in names], + upload, 'export') + crc32 = checksums.result() filesystem, root = _location(connector, location) - if build() != fingerprint: - raise RuntimeError(f'Another build of {snapshot.id} was exported to ' - f'{location} meanwhile; re-export.') - if not committed(): - _write(filesystem, f'{root}/{_MANIFEST}', json.dumps(metadata).encode()) - _write(filesystem, f'{root}/index/{_INDEX_MANIFEST}', index_manifest) - _write(filesystem, f'{root}/index/{_SUCCESS}', fingerprint.encode()) + _write(filesystem, f'{root}/index/{_INDEX_MANIFEST}', index_manifest) + _write(filesystem, f'{root}/{SNAPSHOT_MANIFEST_FILE}', snapshot_manifest) + _write( + filesystem, f'{root}/{_MANIFEST}', + json.dumps({ + 'format': _FORMAT, + 'snapshot_id': snapshot.id, + 'graph_key': graph_key, + 'data_version': data_version, + 'index_manifest': _fingerprint(index_manifest), + 'graph_config': snapshot.graph_config, + 'environment': environment(), + 'range_bytes': _RANGE_BYTES, + 'crc32': crc32, + }).encode()) return location @@ -283,24 +245,22 @@ def _corrupt(path: str, detail: str) -> ValueError: def read(connector: Any, path: str) -> Tuple[str, dict]: filesystem, root = _location(connector, path) manifest = _read_json(filesystem, f'{root}/{_MANIFEST}') - if manifest is None or not _files(filesystem).exists( - f'{root}/index/{_SUCCESS}'): + if manifest is None: raise FileNotFoundError(f'No complete snapshot export at {path}; ' 're-run export.') if not isinstance(manifest, dict): raise _corrupt(path, 'manifest is not a JSON object') if manifest.get('format') != _FORMAT: - warnings.warn( - f"Snapshot export at {path} has layout format " - f"{manifest.get('format')!r}; reading it as format {_FORMAT}.", - UserWarning, stacklevel=3) + raise ValueError( + f"Snapshot export at {path} has format " + f"{manifest.get('format')!r}; this kumo-engine reads format " + f"{_FORMAT}. Load it with the kumo-engine that exported it.") _check_key(manifest.get('graph_key'), manifest.get('data_version'), manifest.get('snapshot_id')) span, crcs = manifest.get('range_bytes'), manifest.get('crc32') if (type(span) is not int or span <= 0 or not isinstance(crcs, dict) or not isinstance(manifest.get('index_manifest'), str) - or not isinstance(manifest.get('graph_config'), dict) - or not isinstance(manifest.get('snapshot'), (dict, type(None)))): + or not isinstance(manifest.get('graph_config'), dict)): raise _corrupt(path, 'malformed manifest') return root, manifest @@ -324,10 +284,13 @@ def _download(root: str, staging: Path, client: FileSystem, os.close(fd) -def _index_files(path: str, root: str, manifest: dict, - connector: Any) -> Tuple[bytes, List[Tuple[str, int]]]: +def _index_files( + path: str, root: str, manifest: dict, connector: Any +) -> Tuple[bytes, List[Tuple[str, int]], Optional[bytes]]: from kumo_core.sources.layout import confined + from kumo.engine.graph import SNAPSHOT_MANIFEST_FILE + filesystem, _ = _location(connector, path) with filesystem.open_input_stream( f'{root}/index/{_INDEX_MANIFEST}') as reader: @@ -341,7 +304,13 @@ def _index_files(path: str, root: str, manifest: dict, raise _corrupt(path, f'bad {_INDEX_MANIFEST}: {error}') from error if len({name for name, _ in files}) != len(files): raise _corrupt(path, f'{_INDEX_MANIFEST} lists a file twice') - return index_manifest, files + try: + with filesystem.open_input_stream( + f'{root}/{SNAPSHOT_MANIFEST_FILE}') as reader: + snapshot_manifest = reader.readall() + except FileNotFoundError: + snapshot_manifest = None + return index_manifest, files, snapshot_manifest def load_into(connector: Any, path: str, root: str, manifest: dict, @@ -358,12 +327,11 @@ def load_into(connector: Any, path: str, root: str, manifest: dict, from kumo_core.io.filesystem import fsync_directory from kumo_core.sources.transfer import discard_destination - from kumo.engine._manifest import write_manifest - from kumo.engine._provenance import environment from kumo.engine.graph import SNAPSHOT_MANIFEST_FILE span = manifest['range_bytes'] - index_manifest, files = _index_files(path, root, manifest, connector) + index_manifest, files, snapshot_manifest = _index_files( + path, root, manifest, connector) staging = target.with_name(f'{target.name}.loading') discard_destination(str(target)) discard_destination(str(staging)) @@ -408,13 +376,8 @@ def load_into(connector: Any, path: str, root: str, manifest: dict, raise _corrupt( path, f'{name} failed its checksum at offset {offset}') _check_readable(staging, manifest) - if manifest.get('snapshot') is not None: - write_manifest( - staging / SNAPSHOT_MANIFEST_FILE, { - **manifest['snapshot'], 'loaded': { - 'environment': environment() - } - }) + if snapshot_manifest is not None: + (staging / SNAPSHOT_MANIFEST_FILE).write_bytes(snapshot_manifest) for directory in sorted({(staging / name).parent for name, _ in files} | {staging}): fsync_directory(directory) diff --git a/packages/kumo-engine/kumo/engine/graph.py b/packages/kumo-engine/kumo/engine/graph.py index 87453382e..e4525d4b6 100644 --- a/packages/kumo-engine/kumo/engine/graph.py +++ b/packages/kumo-engine/kumo/engine/graph.py @@ -243,33 +243,33 @@ def _snapshot_id(graph_key: str, data_version: str) -> str: return f'{graph_key}@{data_version[:16]}' -def _comparable(stamp: Any) -> bool: - from kumo_core.sources.object_store import UNDATED_VERSION +_COMPARABLE = ('exact', 'timestamp') - # Views and unversioned sources are stamped on the hour. - return (isinstance(stamp, str) and stamp != UNDATED_VERSION - and not (stamp.isdigit() and int(stamp) % 3600 == 0)) - -def _source_change(table: Table, recorded: Any) -> Dict[str, Any]: +def _source_change(table: Table, recorded: Any, + record_locations: bool) -> Dict[str, Any]: from kumoapi.source_table import CustomSQLSourceTable recorded = recorded if isinstance(recorded, dict) else {} before, current, same_source = recorded.get('version'), None, False + comparable = recorded.get('version_kind') in _COMPARABLE try: source = table.definition.source_table if not isinstance(source, CustomSQLSourceTable): connector = table.connector stamp = connector.source_backend.get_data_version( connector, table.table_name) - now = source_table(connector, table.table_name, None, stamp) + now = source_table(connector, table.table_name, None, stamp, + record_locations=record_locations) current = now['version'] + comparable = comparable and now['version_kind'] in _COMPARABLE same_source = (recorded.get('connector'), recorded.get('location')) == (now['connector'], now['location']) except Exception: current = None - if not (same_source and _comparable(before) and _comparable(current)): + if not (same_source and comparable and before is not None + and current is not None): status = 'unknown' else: status = 'unchanged' if before == current else 'changed' @@ -324,7 +324,8 @@ def data_version(self) -> str: def export(self, connector: Connector, path: str) -> str: r"""Copy the index to `//` and - return that location; re-running resumes. + return that location. Any earlier export there is replaced; it is not + loadable until the new one completes. Args: connector: an S3, GCS or file connector (on Databricks or @@ -385,14 +386,16 @@ def source_changes(self, graph: 'Graph') -> Dict[str, Dict[str, Any]]: manifest = self.manifest recorded = ({} if not manifest or manifest.get('reconstructed') else dict(manifest['parents']['source_tables'])) + record_locations = manifest.get('record_locations', True) except Exception: - recorded = {} + recorded, record_locations = {}, True from kumo_core.sources.parallel import run_in_parallel tables = graph._named_tables changes = run_in_parallel( [ - partial(_source_change, table, recorded.get(alias)) + partial(_source_change, table, recorded.get(alias), + record_locations) for alias, table in tables.items() ], workers=max(1, min(len(tables), 16)), stop=threading.Event()) return dict(zip(tables, changes)) diff --git a/packages/kumo-engine/test/test_snapshot_export.py b/packages/kumo-engine/test/test_snapshot_export.py index 446dd4b77..f75e2f178 100644 --- a/packages/kumo-engine/test/test_snapshot_export.py +++ b/packages/kumo-engine/test/test_snapshot_export.py @@ -86,8 +86,8 @@ def test_export_load_round_trip_relocates_and_is_reused( assert location == f'one/{graph_id}/{data_version}' assert snapshot.export(exports, 'one') == location exported = tmp_path / 'exports' / location - manifest = json.loads((exported / 'kumo_snapshot.json').read_text()) - assert manifest['snapshot'] == snapshot.manifest + recorded = (snapshot.index_path / 'snapshot-manifest.json').read_bytes() + assert (exported / 'snapshot-manifest.json').read_bytes() == recorded shutil.rmtree(tmp_path / 'cpu') scratch('gpu') @@ -96,12 +96,10 @@ def test_export_load_round_trip_relocates_and_is_reused( snapshot.graph_config) assert loaded.index_path.is_relative_to(tmp_path / 'gpu') assert _index_files(loaded.index_path) == _index_files(exported / 'index') - recorded = loaded.manifest - assert set(recorded.pop('loaded')) == {'environment'} - assert recorded == manifest['snapshot'] + assert (loaded.index_path / + 'snapshot-manifest.json').read_bytes() == recorded reexported = tmp_path / 'exports' / loaded.export(exports, 'two') - assert json.loads((reexported / 'kumo_snapshot.json').read_text())[ - 'snapshot'] == manifest['snapshot'] + assert (reexported / 'snapshot-manifest.json').read_bytes() == recorded monkeypatch.setattr( 'kumo_core.diskgraph.ingest.execute_diskgraph_ingest', @@ -128,7 +126,7 @@ def test_damaged_index_is_reused_by_snapshot_but_reloaded_by_load( assert _index_files(loaded.index_path) == expected -def test_interrupted_export_is_not_loadable_and_resumes( +def test_interrupted_reexport_is_not_loadable_and_reruns_from_scratch( tmp_path, scratch, graph, exports, monkeypatch): @contextmanager def four(found, worker_ceiling=None): @@ -136,6 +134,8 @@ def four(found, worker_ceiling=None): monkeypatch.setattr('kumo_core.sources.object_store.copies', four) snapshot = graph.snapshot() + location, exported = _export(snapshot, exports, tmp_path) + (exported / 'index/stray.bin').write_bytes(b'x') open_output, finished = snapshot_io._open_output, threading.Event() def interrupted(client, path): @@ -151,11 +151,10 @@ def interrupted(client, path): patch.setattr(snapshot_io, '_ATTEMPTS', 1) with pytest.raises(OSError, match='connection reset'): snapshot.export(exports, 'one') - graph_id, data_version = snapshot.id.split('@') - location = f'one/{graph_id}/{data_version}' with pytest.raises(FileNotFoundError, match='No complete snapshot'): _load(exports, location) assert snapshot.export(exports, 'one') == location + assert not (exported / 'index/stray.bin').exists() scratch('gpu') assert _index_files(_load(exports, location).index_path) == _index_files( snapshot.index_path) @@ -174,6 +173,7 @@ def racing(*args): monkeypatch.setattr(snapshot_io, '_transfer', racing) assert raced == [snapshot.export(exports, 'one')] + assert _load(exports, raced[0]).id == snapshot.id def test_failed_upload_is_retried_with_a_fresh_client( @@ -192,16 +192,23 @@ def expiring(client, path): assert len(clients) == 2 and clients[0] is not clients[1] -def test_rerunning_export_repairs_a_committed_export( +def test_reexport_replaces_whatever_the_location_holds( tmp_path, scratch, graph, exports): snapshot = graph.snapshot() + graph_id, data_version = snapshot.id.split('@') + occupied = tmp_path / 'exports/one' / graph_id / data_version + occupied.mkdir(parents=True) + (occupied / 'other.parquet').write_bytes(b'x') location, exported = _export(snapshot, exports, tmp_path) + assert not (exported / 'other.parquet').exists() stats = exported / 'index/col_stats.json' original = stats.read_bytes() stats.write_bytes(original[:3]) (exported / 'index/index_metadata.json').unlink() + _edit_manifest(exported, lambda m: m.update(snapshot_id='other')) assert snapshot.export(exports, 'one') == location assert stats.read_bytes() == original + assert _load(exports, location).id == snapshot.id def test_failed_load_leaves_nothing_and_restarts_cleanly( @@ -259,48 +266,46 @@ def test_load_rejects_a_hostile_or_malformed_manifest(tmp_path, scratch, graph, assert (victim / 'keep').read_text() == 'x' -def test_load_warns_instead_of_refusing_newer_or_foreign_exports( +def test_load_rejects_unknown_formats_and_accepts_unknown_fields( tmp_path, scratch, graph, exports): snapshot = graph.snapshot() location, exported = _export(snapshot, exports, tmp_path) + scratch('gpu') - _edit_manifest(exported, - lambda m: m.update(format=2, added_later={'x': 1})) + _edit_manifest(exported, lambda m: m.update(format=2)) + with pytest.raises(ValueError, match='format 2'): + _load(exports, location) + + _edit_manifest(exported, lambda m: m.update(format=1, added_later={'x': 1})) other = kumo.Graph(tables={'users': graph.tables['users']}) - scratch('gpu') - with pytest.warns(UserWarning) as caught: + with pytest.warns(UserWarning, match='another graph'): loaded = _load(exports, location, graph=other) - messages = ' '.join(str(warning.message) for warning in caught) - assert 'layout format 2' in messages and 'another graph' in messages assert loaded.id == snapshot.id -def test_export_refuses_a_path_holding_other_data(tmp_path, scratch, graph, - exports): - snapshot = graph.snapshot() - graph_id, data_version = snapshot.id.split('@') - occupied = tmp_path / 'exports/occupied' / graph_id / data_version - occupied.mkdir(parents=True) - (occupied / 'other.parquet').write_bytes(b'x') - with pytest.raises(ValueError, match='not empty'): - snapshot.export(exports, 'occupied') - - _, exported = _export(snapshot, exports, tmp_path) - _edit_manifest(exported, lambda m: m.update(snapshot_id='other')) - with pytest.raises(ValueError, match="snapshot 'other', not"): - snapshot.export(exports, 'one') - - -def test_rebuilt_snapshot_reexports_to_the_existing_export( - tmp_path, scratch, graph, exports): +@pytest.mark.parametrize('recorded', ['newer', 'missing']) +def test_snapshot_manifest_travels_unchanged_or_is_reconstructed( + tmp_path, scratch, graph, exports, recorded): snapshot = graph.snapshot() + path = snapshot.index_path / 'snapshot-manifest.json' + if recorded == 'newer': + path.write_bytes(b'{"schema_version": 99, "future": [1]}') + else: + path.unlink() location, exported = _export(snapshot, exports, tmp_path) - committed = (exported / 'kumo_snapshot.json').read_bytes() - scratch('rebuilt') - rebuilt = graph.snapshot() - assert rebuilt.id == snapshot.id - assert rebuilt.export(exports, 'one') == location - assert (exported / 'kumo_snapshot.json').read_bytes() == committed + scratch('gpu') + with warnings.catch_warnings(): + warnings.simplefilter('ignore') + loaded = _load(exports, location) + shipped = (exported / 'snapshot-manifest.json').read_bytes() + assert (loaded.index_path / 'snapshot-manifest.json').read_bytes() == shipped + if recorded == 'newer': + assert shipped == b'{"schema_version": 99, "future": [1]}' + else: + manifest = loaded.manifest + assert (manifest['id'], manifest['reconstructed']) == (snapshot.id, + True) + assert manifest['parents'] == {'source_tables': {}} def test_warehouse_connectors_are_not_supported(scratch, graph): @@ -368,20 +373,21 @@ def dated(tmp_path, graph): return data +@pytest.mark.parametrize('record_locations', [True, False]) def test_source_changes_reads_stamps_without_staging( - scratch, graph, dated, monkeypatch): + scratch, graph, dated, monkeypatch, record_locations): from kumo_core.sources.object_store import ObjectStoreSourceReader from kumo.engine.connector.file import _FileSourceBackend _set_mtime(dated / 'users.parquet', 1_700_002_800) - snapshot = graph.snapshot() + snapshot = graph.snapshot(record_locations=record_locations) fail = Mock(side_effect=AssertionError('must not stage')) monkeypatch.setattr('kumo_core.sources.prepare.read_table', fail) monkeypatch.setattr(ObjectStoreSourceReader, 'prepare', fail) monkeypatch.setattr(_FileSourceBackend, 'prepare_ingest', fail) assert snapshot.source_changes(graph) == { - 'users': {'status': 'unknown', 'recorded': '1700002800', + 'users': {'status': 'unchanged', 'recorded': '1700002800', 'current': '1700002800'}, 'events': {'status': 'unchanged', 'recorded': '1700000123', 'current': '1700000123'}, @@ -396,16 +402,20 @@ def test_source_changes_reads_stamps_without_staging( 'status': 'unknown', 'recorded': '1700000123', 'current': None} -@pytest.mark.parametrize('edit', ['absent', 'reconstructed']) -def test_source_changes_unknown_without_a_recorded_version( +@pytest.mark.parametrize('edit', ['absent', 'reconstructed', 'hour_bucket']) +def test_source_changes_unknown_without_a_comparable_version( scratch, graph, dated, edit): snapshot = graph.snapshot() path = snapshot.index_path / 'snapshot-manifest.json' + manifest = json.loads(path.read_text()) if edit == 'absent': path.unlink() + elif edit == 'reconstructed': + path.write_text(json.dumps({**manifest, 'reconstructed': True})) else: - path.write_text( - json.dumps({**json.loads(path.read_text()), 'reconstructed': True})) + for entry in manifest['parents']['source_tables'].values(): + entry['version_kind'] = 'hour_bucket' + path.write_text(json.dumps(manifest)) assert {change['status'] for change in snapshot.source_changes( graph).values()} == {'unknown'} From b583a96ac6c2d3f7284cb3d0a139c42b69fbf951 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 22:25:43 +0000 Subject: [PATCH 058/123] Drop the S3 upload tuning from snapshot export Export passed allow_delayed_open and background_writes to S3 (with a pyarrow capability probe) and rebuilt every anonymous S3 source read with an explicit retry strategy. Neither was measured to help export, and the anonymous change touched every S3 read, so both go: ObjectStoreSinkBackend.filesystem() returns the sink's own filesystem. Verified with kumo-s3 tests and test_snapshot_export.py. Co-Authored-By: Claude Opus 5.5 --- .../src/kumo_core/object_store_sink.py | 5 +- packages/kumo-s3/src/kumo_s3/backend.py | 29 ++++----- packages/kumo-s3/src/kumo_s3/sink.py | 21 ------- packages/kumo-s3/tests/test_sink.py | 60 ------------------- 4 files changed, 12 insertions(+), 103 deletions(-) delete mode 100644 packages/kumo-s3/tests/test_sink.py diff --git a/packages/kumo-core/src/kumo_core/object_store_sink.py b/packages/kumo-core/src/kumo_core/object_store_sink.py index d3d33bbac..3d673a524 100644 --- a/packages/kumo-core/src/kumo_core/object_store_sink.py +++ b/packages/kumo-core/src/kumo_core/object_store_sink.py @@ -31,10 +31,9 @@ def _destination(self, connector: SourceConnector, """Return the authenticated filesystem and validated bucket/key path.""" raise NotImplementedError - def filesystem(self, connector: SourceConnector, path: str, *, - parallel_uploads: bool = False) -> Tuple[FileSystem, str]: + def filesystem(self, connector: SourceConnector, + path: str) -> Tuple[FileSystem, str]: """The authenticated filesystem and resolved ``path``.""" - del parallel_uploads filesystem, resolved = self._destination(connector, path) return filesystem, resolved.rstrip('/') diff --git a/packages/kumo-s3/src/kumo_s3/backend.py b/packages/kumo-s3/src/kumo_s3/backend.py index 78e9c5390..dfd31df9d 100644 --- a/packages/kumo-s3/src/kumo_s3/backend.py +++ b/packages/kumo-s3/src/kumo_s3/backend.py @@ -1,7 +1,7 @@ # SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. # All rights reserved. # SPDX-License-Identifier: Apache-2.0 -from typing import Any, Mapping, Optional, Union +from typing import Any, Optional, Union import kumo_s3 from kumo_core.sources.errors import ReconnectRequiredError @@ -13,11 +13,7 @@ ) from kumo_core.sources.principals import IdentityRef, Principal from kumo_core.sources.types import ReadMode -from kumo_s3.session import ( - anonymous_filesystem, - arrow_connection_options, - retry_strategy, -) +from kumo_s3.session import anonymous_filesystem, arrow_connection_options from kumoapi.data_source import ( DataSourceType, S3AccessKeyAuthentication, @@ -104,9 +100,7 @@ def _source_access(self, connector: Any, bucket: str, if connection else None) def _filesystem(self, connector: Any, bucket: str, - region: Optional[str], - options: Optional[Mapping[str, Any]] = None - ) -> S3FileSystem: + region: Optional[str]) -> S3FileSystem: r"""A ready filesystem is taken as it is: it may address a service that is not AWS at all, and probing its bucket name against AWS would answer for somebody else's bucket. @@ -116,12 +110,6 @@ def _filesystem(self, connector: Any, bucket: str, connector, bucket) if isinstance(session, S3FileSystem): return session - arrow_options = { - **(arrow_connection_options(connection.endpoint_url, - connection.addressing_style) - if connection else {}), - **(options or {}) - } with kumo_s3.translated(f'Signing for {bucket}', table=bucket): _require_credentials(session) # Resolve through the package so applications/tests replacing its @@ -131,7 +119,9 @@ def _filesystem(self, connector: Any, bucket: str, default_region=(connection.region or region) if connection else region, endpoint_url=connection.endpoint_url if connection else None, - options=arrow_options or None) + options=arrow_connection_options(connection.endpoint_url, + connection.addressing_style) + if connection else None) if resolved is not None: return resolved if not allow_anonymous: @@ -151,11 +141,12 @@ def _filesystem(self, connector: Any, bucket: str, if connection is not None: return anonymous_filesystem( bucket, region=connection.region or region - or session.region_name, options=arrow_options) + or session.region_name, + options=arrow_connection_options(connection.endpoint_url, + connection.addressing_style)) from pyarrow.fs import FileSystem filesystem, _ = FileSystem.from_uri(f's3://{bucket}') - return S3FileSystem(region=filesystem.region, - retry_strategy=retry_strategy(), **(options or {})) + return filesystem class S3SourceBackend(S3Sessions, ObjectStoreSourceBackend): diff --git a/packages/kumo-s3/src/kumo_s3/sink.py b/packages/kumo-s3/src/kumo_s3/sink.py index 557551b64..5e2a5a2d8 100644 --- a/packages/kumo-s3/src/kumo_s3/sink.py +++ b/packages/kumo-s3/src/kumo_s3/sink.py @@ -2,9 +2,6 @@ # All rights reserved. # SPDX-License-Identifier: Apache-2.0 -from functools import lru_cache -from typing import Dict - from kumo_core.object_store_sink import ObjectStoreSinkBackend from kumoapi.data_source import DataSourceType @@ -17,23 +14,5 @@ class S3SinkBackend(S3Sessions, ObjectStoreSinkBackend): """ source_type = DataSourceType.S3 - def filesystem(self, connector, path, *, parallel_uploads=False): - bucket, resolved, region = self._resolved(connector, path) - options = _parallel_upload_options() if parallel_uploads else None - return (self._filesystem(connector, bucket, region, options), - resolved.rstrip('/')) - def __repr__(self) -> str: return f'{type(self).__name__}(identity={self._identity!r})' - - -@lru_cache(maxsize=None) -def _parallel_upload_options() -> Dict[str, bool]: - from pyarrow.fs import S3FileSystem - - try: - S3FileSystem(anonymous=True, region='us-east-1', - allow_delayed_open=True) - except TypeError: - return {'background_writes': False} - return {'allow_delayed_open': True, 'background_writes': False} diff --git a/packages/kumo-s3/tests/test_sink.py b/packages/kumo-s3/tests/test_sink.py deleted file mode 100644 index c143321df..000000000 --- a/packages/kumo-s3/tests/test_sink.py +++ /dev/null @@ -1,60 +0,0 @@ -# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. -# All rights reserved. -# SPDX-License-Identifier: Apache-2.0 - -from __future__ import annotations - -from types import SimpleNamespace - -import kumo_s3 -import pytest -from fakes import FakeSession -from kumo_s3 import backend, sink -from kumo_s3.sink import S3SinkBackend -from kumoapi.data_source import ( - S3AnyURIConnectorTarget, - S3ConnectorResourceConfig, -) - - -@pytest.mark.parametrize('delayed_open', [True, False]) -@pytest.mark.parametrize('credentials', ['default', None]) -def test_parallel_uploads_reach_every_filesystem_construction( - monkeypatch, credentials, delayed_open): - known = { - 'access_key', 'secret_key', 'session_token', 'region', 'anonymous', - 'retry_strategy', 'background_writes', 'endpoint_override', 'scheme', - 'force_virtual_addressing' - } | ({'allow_delayed_open'} if delayed_open else set()) - built = [] - - class Record: - def __init__(self, **kwargs): - if set(kwargs) - known: - raise TypeError(f'unexpected {set(kwargs) - known}') - built.append(kwargs) - - monkeypatch.setattr('pyarrow.fs.S3FileSystem', Record) - monkeypatch.setattr(backend, 'S3FileSystem', Record) - monkeypatch.setattr(kumo_s3, 'ambient_session', - lambda: FakeSession(credentials=credentials)) - monkeypatch.setattr('kumo_s3.session.bucket_region', lambda bucket: 'x') - monkeypatch.setattr( - 'pyarrow.fs.FileSystem', - SimpleNamespace(from_uri=lambda uri: - (SimpleNamespace(region='us-west-2'), ''))) - sink._parallel_upload_options.cache_clear() - connector = SimpleNamespace( - id='connector', identity=None, identity_id=None, - config=S3ConnectorResourceConfig(target=S3AnyURIConnectorTarget())) - - filesystem, path = S3SinkBackend().filesystem( - connector, 's3://bucket/prefix/', parallel_uploads=True) - sink._parallel_upload_options.cache_clear() - - assert isinstance(filesystem, Record) - assert path == 'bucket/prefix' - assert built[-1].get('allow_delayed_open') is (True if delayed_open else - None) - assert built[-1]['background_writes'] is False - assert 'retry_strategy' in built[-1] From 85676dab7d4257b28ba57510680f5febd8a9e102 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 22:25:43 +0000 Subject: [PATCH 059/123] Repair files a concurrent export wiped before committing Two exports to one location could interleave so that one committed kumo_snapshot.json while the other had just wiped the index; if the second export then died, the location claimed a complete export whose files were gone. Export now deletes the marker again after its wipe, and after committing lists the index: files another export removed are uploaded again and the marker rewritten, so a committed marker always covers complete files with their checksums. Re-export still rewrites everything. Also follows #50's record_sources rename. Verified with test_snapshot_export.py, including a wipe injected just before the commit (fails without the repair). Co-Authored-By: Claude Opus 5.5 --- .../kumo-engine/kumo/engine/_snapshot_io.py | 85 +++++++++++++------ packages/kumo-engine/kumo/engine/graph.py | 10 +-- .../kumo-engine/test/test_snapshot_export.py | 25 +++++- 3 files changed, 88 insertions(+), 32 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/_snapshot_io.py b/packages/kumo-engine/kumo/engine/_snapshot_io.py index 4f0b7ac97..5f473157d 100644 --- a/packages/kumo-engine/kumo/engine/_snapshot_io.py +++ b/packages/kumo-engine/kumo/engine/_snapshot_io.py @@ -12,7 +12,7 @@ from concurrent.futures import ThreadPoolExecutor from functools import partial from pathlib import Path -from typing import Any, Callable, List, Optional, Sequence, Tuple +from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple from pyarrow.fs import FileSystem @@ -39,7 +39,7 @@ def _location(connector: Any, path: str) -> Tuple[FileSystem, str]: raise NotImplementedError( f'{type(connector).__name__} cannot hold a snapshot export; use ' 'an S3Connector, GCSConnector or a FileConnector on a volume.') - return sink.filesystem(connector, path, parallel_uploads=True) + return sink.filesystem(connector, path) def _files(filesystem: FileSystem) -> Any: @@ -195,9 +195,10 @@ def export(snapshot: Any, connector: Any, path: str) -> str: } snapshot_manifest = _snapshot_manifest(snapshot) filesystem, root = _location(connector, location) - if _files(filesystem).exists(f'{root}/{_MANIFEST}'): - filesystem.delete_file(f'{root}/{_MANIFEST}') + _delete_marker(filesystem, root) filesystem.delete_dir_contents(root, missing_dir_ok=True) + # An export that committed while this one wiped no longer holds its files. + _delete_marker(filesystem, root) def upload(client: FileSystem, name: str, stop: threading.Event) -> None: size = sizes[name] @@ -211,30 +212,66 @@ def upload(client: FileSystem, name: str, stop: threading.Event) -> None: 'exported') writer.write(chunk) - names = sorted(sizes, key=lambda name: -sizes[name]) + def send(names: List[str], action: str) -> None: + names = sorted(names, key=lambda name: -sizes[name]) + _transfer(connector, location, names, [sizes[name] for name in names], + upload, action) + with ThreadPoolExecutor(1) as pool: checksums = pool.submit(snapshot_range_checksums, str(source), _RANGE_BYTES) - _transfer(connector, location, names, [sizes[name] for name in names], - upload, 'export') + send(list(sizes), 'export') crc32 = checksums.result() - filesystem, root = _location(connector, location) - _write(filesystem, f'{root}/index/{_INDEX_MANIFEST}', index_manifest) - _write(filesystem, f'{root}/{SNAPSHOT_MANIFEST_FILE}', snapshot_manifest) - _write( - filesystem, f'{root}/{_MANIFEST}', - json.dumps({ - 'format': _FORMAT, - 'snapshot_id': snapshot.id, - 'graph_key': graph_key, - 'data_version': data_version, - 'index_manifest': _fingerprint(index_manifest), - 'graph_config': snapshot.graph_config, - 'environment': environment(), - 'range_bytes': _RANGE_BYTES, - 'crc32': crc32, - }).encode()) - return location + marker = json.dumps({ + 'format': _FORMAT, + 'snapshot_id': snapshot.id, + 'graph_key': graph_key, + 'data_version': data_version, + 'index_manifest': _fingerprint(index_manifest), + 'graph_config': snapshot.graph_config, + 'environment': environment(), + 'range_bytes': _RANGE_BYTES, + 'crc32': crc32, + }).encode() + for _ in range(_ATTEMPTS): + filesystem, root = _location(connector, location) + _write(filesystem, f'{root}/index/{_INDEX_MANIFEST}', index_manifest) + _write(filesystem, f'{root}/{SNAPSHOT_MANIFEST_FILE}', + snapshot_manifest) + _write(filesystem, f'{root}/{_MANIFEST}', marker) + if not _files(filesystem).exists(f'{root}/{_MANIFEST}'): + logger.warning('A later export to %s took it over.', location) + return location + missing = _missing(filesystem, root, + {**sizes, _INDEX_MANIFEST: len(index_manifest)}) + if not missing: + return location + logger.warning('Another export to %s removed %d files; uploading ' + 'them again.', location, len(missing)) + send([name for name in missing if name in sizes], 'repair') + raise OSError(f'Another export to {location} keeps replacing it; run ' + 'GraphSnapshot.export again once it finishes.') + + +def _delete_marker(filesystem: FileSystem, root: str) -> None: + try: + filesystem.delete_file(f'{root}/{_MANIFEST}') + except FileNotFoundError: + pass + + +def _missing(filesystem: FileSystem, root: str, + sizes: Dict[str, int]) -> List[str]: + from pyarrow.fs import FileSelector, FileType + + prefix = f'{root}/index/' + found = { + info.path[len(prefix):]: info.size + for info in filesystem.get_file_info( + FileSelector(prefix, recursive=True, allow_not_found=True)) + if info.type is FileType.File + } + return [name for name, size in sizes.items() if found.get(name) != size] def _corrupt(path: str, detail: str) -> ValueError: diff --git a/packages/kumo-engine/kumo/engine/graph.py b/packages/kumo-engine/kumo/engine/graph.py index e4525d4b6..17373193f 100644 --- a/packages/kumo-engine/kumo/engine/graph.py +++ b/packages/kumo-engine/kumo/engine/graph.py @@ -247,7 +247,7 @@ def _snapshot_id(graph_key: str, data_version: str) -> str: def _source_change(table: Table, recorded: Any, - record_locations: bool) -> Dict[str, Any]: + record_sources: bool) -> Dict[str, Any]: from kumoapi.source_table import CustomSQLSourceTable recorded = recorded if isinstance(recorded, dict) else {} @@ -260,7 +260,7 @@ def _source_change(table: Table, recorded: Any, stamp = connector.source_backend.get_data_version( connector, table.table_name) now = source_table(connector, table.table_name, None, stamp, - record_locations=record_locations) + record_sources=record_sources) current = now['version'] comparable = comparable and now['version_kind'] in _COMPARABLE same_source = (recorded.get('connector'), @@ -386,16 +386,16 @@ def source_changes(self, graph: 'Graph') -> Dict[str, Dict[str, Any]]: manifest = self.manifest recorded = ({} if not manifest or manifest.get('reconstructed') else dict(manifest['parents']['source_tables'])) - record_locations = manifest.get('record_locations', True) + record_sources = manifest.get('record_sources', True) except Exception: - recorded, record_locations = {}, True + recorded, record_sources = {}, True from kumo_core.sources.parallel import run_in_parallel tables = graph._named_tables changes = run_in_parallel( [ partial(_source_change, table, recorded.get(alias), - record_locations) + record_sources) for alias, table in tables.items() ], workers=max(1, min(len(tables), 16)), stop=threading.Event()) return dict(zip(tables, changes)) diff --git a/packages/kumo-engine/test/test_snapshot_export.py b/packages/kumo-engine/test/test_snapshot_export.py index f75e2f178..1c5e4811a 100644 --- a/packages/kumo-engine/test/test_snapshot_export.py +++ b/packages/kumo-engine/test/test_snapshot_export.py @@ -176,6 +176,25 @@ def racing(*args): assert _load(exports, raced[0]).id == snapshot.id +def test_export_repairs_files_a_dying_concurrent_export_wiped( + tmp_path, scratch, graph, exports, monkeypatch): + snapshot = graph.snapshot() + write, wiped = snapshot_io._write, [] + + def wipe_before_commit(filesystem, path, payload): + if path.endswith('/index/_MANIFEST.json') and not wiped: + wiped.append(path) + shutil.rmtree(Path(path).parent) + return write(filesystem, path, payload) + + monkeypatch.setattr(snapshot_io, '_write', wipe_before_commit) + location, _ = _export(snapshot, exports, tmp_path) + assert wiped + scratch('gpu') + assert _index_files(_load(exports, location).index_path) == _index_files( + snapshot.index_path) + + def test_failed_upload_is_retried_with_a_fresh_client( scratch, graph, exports, monkeypatch): open_output, clients = snapshot_io._open_output, [] @@ -373,15 +392,15 @@ def dated(tmp_path, graph): return data -@pytest.mark.parametrize('record_locations', [True, False]) +@pytest.mark.parametrize('record_sources', [True, False]) def test_source_changes_reads_stamps_without_staging( - scratch, graph, dated, monkeypatch, record_locations): + scratch, graph, dated, monkeypatch, record_sources): from kumo_core.sources.object_store import ObjectStoreSourceReader from kumo.engine.connector.file import _FileSourceBackend _set_mtime(dated / 'users.parquet', 1_700_002_800) - snapshot = graph.snapshot(record_locations=record_locations) + snapshot = graph.snapshot(record_sources=record_sources) fail = Mock(side_effect=AssertionError('must not stage')) monkeypatch.setattr('kumo_core.sources.prepare.read_table', fail) monkeypatch.setattr(ObjectStoreSourceReader, 'prepare', fail) From f37a3bdd0462a017c6311413a8bf90a189425973 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 22:32:09 +0000 Subject: [PATCH 060/123] Compare directory listings in source_changes #50 types a Parquet or CSV directory's version as "listing" (a fingerprint of its parts' paths, sizes and mtimes). source_changes treats it as comparable, like a file's mtime, instead of reporting such tables as unknown. Verified with test_snapshot_export.py (new directory case). Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/kumo/engine/graph.py | 2 +- packages/kumo-engine/test/test_snapshot_export.py | 15 +++++++++++++++ 2 files changed, 16 insertions(+), 1 deletion(-) diff --git a/packages/kumo-engine/kumo/engine/graph.py b/packages/kumo-engine/kumo/engine/graph.py index 17373193f..130e26769 100644 --- a/packages/kumo-engine/kumo/engine/graph.py +++ b/packages/kumo-engine/kumo/engine/graph.py @@ -243,7 +243,7 @@ def _snapshot_id(graph_key: str, data_version: str) -> str: return f'{graph_key}@{data_version[:16]}' -_COMPARABLE = ('exact', 'timestamp') +_COMPARABLE = ('exact', 'timestamp', 'listing') def _source_change(table: Table, recorded: Any, diff --git a/packages/kumo-engine/test/test_snapshot_export.py b/packages/kumo-engine/test/test_snapshot_export.py index 1c5e4811a..40e484382 100644 --- a/packages/kumo-engine/test/test_snapshot_export.py +++ b/packages/kumo-engine/test/test_snapshot_export.py @@ -421,6 +421,21 @@ def test_source_changes_reads_stamps_without_staging( 'status': 'unknown', 'recorded': '1700000123', 'current': None} +def test_source_changes_compares_directory_listings(tmp_path, scratch): + parts = tmp_path / 'dir' / 'users' + parts.mkdir(parents=True) + pd.DataFrame({'ID': range(5)}).to_parquet(parts / 'part-0.parquet') + connector = kumo.FileConnector(root_dir=str(tmp_path / 'dir')) + graph = kumo.Graph(tables={ + 'users': kumo.Table.from_source_table(connector['users'], + primary_key='ID') + }, edges=[]) + snapshot = graph.snapshot() + assert snapshot.source_changes(graph)['users']['status'] == 'unchanged' + pd.DataFrame({'ID': range(5, 9)}).to_parquet(parts / 'part-1.parquet') + assert snapshot.source_changes(graph)['users']['status'] == 'changed' + + @pytest.mark.parametrize('edit', ['absent', 'reconstructed', 'hour_bucket']) def test_source_changes_unknown_without_a_comparable_version( scratch, graph, dated, edit): From c82556ac6cea21c06849423eaabc45cf3fd433c4 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 22:33:57 +0000 Subject: [PATCH 061/123] Drop the connector-image allowlist entry for the removed sink test Only the kumo-s3 sink test, removed with the S3 upload tuning, needed kumo_core/object_store_sink.py in the public connector image. Co-Authored-By: Claude Opus 5.5 --- tests/public/Dockerfile.dockerignore | 2 -- 1 file changed, 2 deletions(-) diff --git a/tests/public/Dockerfile.dockerignore b/tests/public/Dockerfile.dockerignore index 03a5e01fb..4bedfe32e 100644 --- a/tests/public/Dockerfile.dockerignore +++ b/tests/public/Dockerfile.dockerignore @@ -12,8 +12,6 @@ !packages/kumo-core/src/kumo_core/csv_rules.py !packages/kumo-core/src/kumo_core/custom_sql.py !packages/kumo-core/src/kumo_core/artifact_staging.py -# The S3 sink tests import the shared object-store sink. -!packages/kumo-core/src/kumo_core/object_store_sink.py # Model registries validate bundles through the portable artifact contract. !packages/kumo-core/src/kumo_core/artifacts.py !packages/kumo-core/src/kumo_core/config.py From 48f5796c4b4880df1c9ad6505e58f27fcda67d77 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Thu, 22 Oct 2026 05:34:51 +0000 Subject: [PATCH 062/123] Raise ConcurrentExportError when another export keeps replacing the destination Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/kumo/engine/_snapshot_io.py | 9 +++++++-- packages/kumo-engine/test/test_snapshot_export.py | 15 +++++++++++++++ 2 files changed, 22 insertions(+), 2 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/_snapshot_io.py b/packages/kumo-engine/kumo/engine/_snapshot_io.py index 5f473157d..e2c2cfe0a 100644 --- a/packages/kumo-engine/kumo/engine/_snapshot_io.py +++ b/packages/kumo-engine/kumo/engine/_snapshot_io.py @@ -28,6 +28,10 @@ logger = logging.getLogger(__name__) +class ConcurrentExportError(TimeoutError): + pass + + def _location(connector: Any, path: str) -> Tuple[FileSystem, str]: from kumo_core.object_store_sink import ObjectStoreSinkBackend @@ -249,8 +253,9 @@ def send(names: List[str], action: str) -> None: logger.warning('Another export to %s removed %d files; uploading ' 'them again.', location, len(missing)) send([name for name in missing if name in sizes], 'repair') - raise OSError(f'Another export to {location} keeps replacing it; run ' - 'GraphSnapshot.export again once it finishes.') + raise ConcurrentExportError( + f'Another export to {location} keeps replacing it; run ' + 'GraphSnapshot.export again once it finishes.') def _delete_marker(filesystem: FileSystem, root: str) -> None: diff --git a/packages/kumo-engine/test/test_snapshot_export.py b/packages/kumo-engine/test/test_snapshot_export.py index 40e484382..b4d19c5f1 100644 --- a/packages/kumo-engine/test/test_snapshot_export.py +++ b/packages/kumo-engine/test/test_snapshot_export.py @@ -195,6 +195,21 @@ def wipe_before_commit(filesystem, path, payload): snapshot.index_path) +def test_export_gives_up_when_another_export_keeps_wiping_it( + scratch, graph, exports, monkeypatch): + write = snapshot_io._write + + def wipe_before_commit(filesystem, path, payload): + if path.endswith('/index/_MANIFEST.json'): + shutil.rmtree(Path(path).parent) + return write(filesystem, path, payload) + + monkeypatch.setattr(snapshot_io, '_write', wipe_before_commit) + with pytest.raises(snapshot_io.ConcurrentExportError, + match='keeps replacing it'): + graph.snapshot().export(exports, 'one') + + def test_failed_upload_is_retried_with_a_fresh_client( scratch, graph, exports, monkeypatch): open_output, clients = snapshot_io._open_output, [] From b6394e20fdf9512665b3866553deea9d16ce0dbe Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Thu, 22 Oct 2026 18:49:29 +0000 Subject: [PATCH 063/123] Read snapshot manifests as dataclasses in export and source_changes The snapshot manifest is now a SnapshotManifest, so source_changes reads its source tables by attribute, the reconstructed manifest an export ships is built from the dataclass, and the export manifest stores the environment as its dict. The exported files are unchanged. Verified with test_snapshot_export.py. Co-Authored-By: Claude Opus 5.5 --- .../kumo-engine/kumo/engine/_snapshot_io.py | 17 +++++++----- packages/kumo-engine/kumo/engine/graph.py | 26 ++++++++++--------- .../kumo-engine/test/test_snapshot_export.py | 5 ++-- 3 files changed, 26 insertions(+), 22 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/_snapshot_io.py b/packages/kumo-engine/kumo/engine/_snapshot_io.py index e2c2cfe0a..33823d18d 100644 --- a/packages/kumo-engine/kumo/engine/_snapshot_io.py +++ b/packages/kumo-engine/kumo/engine/_snapshot_io.py @@ -168,17 +168,20 @@ def _fingerprint(index_manifest: bytes) -> str: def _snapshot_manifest(snapshot: Any) -> bytes: - from kumo.engine._manifest import new_manifest + from kumo.engine._manifest import ( + RECONSTRUCTED, + SnapshotManifest, + SnapshotParents, + ) from kumo.engine.graph import SNAPSHOT_MANIFEST_FILE try: return (Path(snapshot.index_path) / SNAPSHOT_MANIFEST_FILE).read_bytes() except OSError: - manifest = new_manifest('graph_snapshot', snapshot.id, - {'source_tables': {}}, created_at=None, - environment=None, scheduler=None, - reconstructed=True) - return (json.dumps(manifest, indent=2, sort_keys=True) + + manifest = SnapshotManifest( + id=snapshot.id, parents=SnapshotParents(source_tables={}), + **RECONSTRUCTED) + return (json.dumps(manifest.to_dict(), indent=2, sort_keys=True) + '\n').encode() @@ -233,7 +236,7 @@ def send(names: List[str], action: str) -> None: 'data_version': data_version, 'index_manifest': _fingerprint(index_manifest), 'graph_config': snapshot.graph_config, - 'environment': environment(), + 'environment': environment().to_dict(), 'range_bytes': _RANGE_BYTES, 'crc32': crc32, }).encode() diff --git a/packages/kumo-engine/kumo/engine/graph.py b/packages/kumo-engine/kumo/engine/graph.py index 130e26769..85b8178b3 100644 --- a/packages/kumo-engine/kumo/engine/graph.py +++ b/packages/kumo-engine/kumo/engine/graph.py @@ -246,13 +246,14 @@ def _snapshot_id(graph_key: str, data_version: str) -> str: _COMPARABLE = ('exact', 'timestamp', 'listing') -def _source_change(table: Table, recorded: Any, +def _source_change(table: Table, recorded: Optional[SourceTableEntry], record_sources: bool) -> Dict[str, Any]: from kumoapi.source_table import CustomSQLSourceTable - recorded = recorded if isinstance(recorded, dict) else {} - before, current, same_source = recorded.get('version'), None, False - comparable = recorded.get('version_kind') in _COMPARABLE + before = None if recorded is None else recorded.version + current, same_source = None, False + comparable = (recorded is not None + and recorded.version_kind in _COMPARABLE) try: source = table.definition.source_table if not isinstance(source, CustomSQLSourceTable): @@ -261,11 +262,11 @@ def _source_change(table: Table, recorded: Any, connector, table.table_name) now = source_table(connector, table.table_name, None, stamp, record_sources=record_sources) - current = now['version'] - comparable = comparable and now['version_kind'] in _COMPARABLE - same_source = (recorded.get('connector'), - recorded.get('location')) == (now['connector'], - now['location']) + current = now.version + comparable = comparable and now.version_kind in _COMPARABLE + same_source = recorded is not None and ( + recorded.connector, recorded.location) == (now.connector, + now.location) except Exception: current = None if not (same_source and comparable and before is not None @@ -384,9 +385,10 @@ def source_changes(self, graph: 'Graph') -> Dict[str, Dict[str, Any]]: `unchanged`, `changed` or `unknown`. Never raises.""" try: manifest = self.manifest - recorded = ({} if not manifest or manifest.get('reconstructed') else - dict(manifest['parents']['source_tables'])) - record_sources = manifest.get('record_sources', True) + recorded = ({} if manifest is None or manifest.reconstructed else + dict(manifest.parents.source_tables)) + record_sources = (manifest is None + or manifest.record_sources is not False) except Exception: recorded, record_sources = {}, True from kumo_core.sources.parallel import run_in_parallel diff --git a/packages/kumo-engine/test/test_snapshot_export.py b/packages/kumo-engine/test/test_snapshot_export.py index b4d19c5f1..81c367199 100644 --- a/packages/kumo-engine/test/test_snapshot_export.py +++ b/packages/kumo-engine/test/test_snapshot_export.py @@ -337,9 +337,8 @@ def test_snapshot_manifest_travels_unchanged_or_is_reconstructed( assert shipped == b'{"schema_version": 99, "future": [1]}' else: manifest = loaded.manifest - assert (manifest['id'], manifest['reconstructed']) == (snapshot.id, - True) - assert manifest['parents'] == {'source_tables': {}} + assert (manifest.id, manifest.reconstructed) == (snapshot.id, True) + assert manifest.parents.source_tables == {} def test_warehouse_connectors_are_not_supported(scratch, graph): From d4272b539a4deebf4b673f8f36134c212aa5447e Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Tue, 20 Oct 2026 20:05:48 +0000 Subject: [PATCH 064/123] Add PredictiveQuery.from_snapshot for graph-free scoring A job that loads a model bundle and a stored snapshot has no Python Graph, but PredictiveQuery required one, so it could not compile a prediction table. Prediction-table compilation only needs the snapshot's graph config. PredictiveQuery.from_snapshot(snapshot, query) binds the query to a GraphSnapshot: parsing uses the snapshot's graph_config and the snapshot match check uses the graph id embedded in snapshot.id, so a snapshot of a different graph is still refused. PredictiveQuery(graph, query) is unchanged. Verified: a snapshot-bound query generates prediction tables (generated and supplied rows) that Trainer.predict scores identically to the Graph-bound path; existing predictive-query and custom-source tests pass. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/README.md | 3 +- .../kumo/engine/pquery/predictive_query.py | 83 ++++++++++++------- .../test/test_query_from_snapshot.py | 54 ++++++++++++ 3 files changed, 109 insertions(+), 31 deletions(-) create mode 100644 packages/kumo-engine/test/test_query_from_snapshot.py diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index 7cf4570c6..eea6f7072 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -410,7 +410,8 @@ cols=..., source_table=events.sql(query).to_source_table(), ...))`. ## Model-plan suggestions Given `pquery = PredictiveQuery(graph, query)` and `snapshot = graph.snapshot()`, -suggest and customize a plan before training: +suggest and customize a plan before training. A job that has a snapshot but no +`Graph` binds the query with `PredictiveQuery.from_snapshot(snapshot, query)`. ```python from kumo.engine import Trainer diff --git a/packages/kumo-engine/kumo/engine/pquery/predictive_query.py b/packages/kumo-engine/kumo/engine/pquery/predictive_query.py index 01a425fe2..0a6b0c361 100644 --- a/packages/kumo-engine/kumo/engine/pquery/predictive_query.py +++ b/packages/kumo-engine/kumo/engine/pquery/predictive_query.py @@ -6,15 +6,19 @@ `PredictiveQuery(graph, query)` binds a `Graph` at construction, matching the cloud SDK's `kumo.PredictiveQuery(graph=graph, query=QUERY)` -- not a -`GraphSnapshot`. Parsing (`kumo_core.pquery.parse_and_validate_query` against -`self.graph.native_graph` -- `Graph`'s own `cached_property`, needing no -materialized index) happens lazily, on first access to the `_parsed` -`cached_property`, and only once: `validate()`/`get_task_type()` both read -that same property rather than re-parsing on every call. Confirmed against -the existing local backend's own `_LocalPQueryBackend.validate` -(`kumoai/backend/local/pquery.py`), which parses against -`to_portable(definition)` -- the schema-level conversion, not an ingested -snapshot -- that this doesn't need a `GraphSnapshot` either. +`GraphSnapshot`. `PredictiveQuery.from_snapshot(snapshot, query)` binds a +snapshot instead, for callers that load a snapshot without its `Graph`; the +query then parses against `snapshot.graph_config`, the same portable config +the source `Graph` produces. + +Parsing (`kumo_core.pquery.parse_and_validate_query` against +`self._native_graph`, needing no materialized index) happens lazily, on first +access to the `_parsed` `cached_property`, and only once: +`validate()`/`get_task_type()` both read that same property rather than +re-parsing on every call. Confirmed against the existing local backend's own +`_LocalPQueryBackend.validate` (`kumoai/backend/local/pquery.py`), which parses +against `to_portable(definition)` -- the schema-level conversion, not an +ingested snapshot -- that this doesn't need a `GraphSnapshot` either. Construction itself stays I/O-free, consistent with `Table`/`Graph`: nothing parses until `_parsed` is actually touched (by `validate()`, `get_task_type()`, @@ -25,8 +29,8 @@ `suggest_model_plan` uses resolved graph/query metadata. Methods that generate training or prediction tables also read the materialized index. These methods -accept an explicit `GraphSnapshot` produced by `self.graph.snapshot()` and -never trigger graph ingest themselves. +accept an explicit `GraphSnapshot` of this query's graph and never trigger +graph ingest themselves. Supported, matching `kumo.engine.pquery.predictive_query.PredictiveQuery` in the cloud SDK: `validate`, `get_task_type`, `suggest_model_plan`, @@ -57,7 +61,9 @@ ) from kumo_core.model_plan_conversion import public_model_plan_from_internal from kumo_core.pquery import ( + NativeGraph, ValidatedNativeQuery, + normalize_graph, parse_and_validate_query, query_is_temporal, resolve_query_split, @@ -97,15 +103,33 @@ @dataclass(frozen=True) class PredictiveQuery: - r"""An immutable PQL query bound to a `Graph`.""" + r"""An immutable PQL query bound to a `Graph` or a `GraphSnapshot`.""" - graph: Graph + graph: Graph | GraphSnapshot query: str + @classmethod + def from_snapshot(cls, snapshot: GraphSnapshot, + query: str) -> 'PredictiveQuery': + r"""Bind `query` to `snapshot`'s graph without its `Graph` object.""" + return cls(graph=snapshot, query=query) + + @cached_property + def _native_graph(self) -> NativeGraph: + if isinstance(self.graph, GraphSnapshot): + return normalize_graph(self.graph.graph_config) + return self.graph.native_graph + + @property + def _graph_id(self) -> str: + if isinstance(self.graph, GraphSnapshot): + return self.graph.id.partition('@')[0] + return self.graph.id + @cached_property def _parsed(self) -> ValidatedNativeQuery: - r"""Parses and validates `self.query` against `self.graph. - native_graph`, via `kumo_core.pquery.parse_and_validate_query` -- + r"""Parses and validates `self.query` against `self._native_graph`, + via `kumo_core.pquery.parse_and_validate_query` -- the same parser `Trainer._predict` already calls directly, and what `kumo_core.training.workflow.TrainingWorkflowRequest.from_spec` uses internally for `fit`. No materialized `GraphSnapshot` needed @@ -126,22 +150,21 @@ def _parsed(self) -> ValidatedNativeQuery: `ValidatedNativeQuery` are all plain `str`; `get_task_type` below wraps `task_type` into the shared, public `kumoapi.task.TaskType`. - Reuses `self.graph.native_graph` (itself a `cached_property`) - rather than building its own `graph_config`/`NativeGraph` -- one - canonical conversion per `Graph`, shared by `Graph.validate()` and - every `PredictiveQuery` bound to it. + For a `Graph`, reuses its cached `native_graph`, shared by + `Graph.validate()` and every `PredictiveQuery` bound to it. """ - return parse_and_validate_query(self.query, self.graph.native_graph) + return parse_and_validate_query(self.query, self._native_graph) def _require_matching_snapshot(self, snapshot: GraphSnapshot) -> None: # snapshot.id is 'graph_key@data_version_prefix' (see - # Graph.snapshot()); self.graph.id is the graph_key alone, so + # Graph.snapshot()); self._graph_id is the graph_key alone, so # membership is a prefix check, not equality. - if not snapshot.id.startswith(f'{self.graph.id}@'): + if snapshot.id != self.graph.id and not snapshot.id.startswith( + f'{self._graph_id}@'): raise ValueError( f"snapshot {snapshot.id!r} was not materialized from " - f"self.graph (id {self.graph.id!r}) -- call " - "self.graph.snapshot() and pass its result.") + f"this query's graph (id {self._graph_id!r}) -- pass a " + "snapshot of that graph.") def validate(self, verbose: bool = True) -> ValidationResponse: r"""Return validation warnings and information for a valid query. @@ -173,7 +196,7 @@ def get_task_type(self) -> TaskType: def _model_plan_validation_facts(self, run_mode: RunMode) -> dict[str, Any]: parsed = self._parsed - graph = self.graph.native_graph + graph = self._native_graph entity_tables = [parsed.entity_table] if parsed.rhs_node_type is not None: entity_tables.append(parsed.rhs_node_type) @@ -195,7 +218,7 @@ def suggest_model_plan( train_table_spec: Optional[TrainingTableSpec] = None, ) -> ModelPlan: r"""Suggests a modeling plan given this query and a materialized - `snapshot` of `self.graph`. Mirrors the cloud SDK's + `snapshot` of this query's graph. Mirrors the cloud SDK's `PredictiveQuery.suggest_model_plan`. Uses resolved graph/query metadata without generating a training table @@ -221,7 +244,7 @@ def generate_training_table( plan: Optional[TrainingTableGenerationPlan] = None, ) -> TrainingTable: r"""Compiles this query into a `TrainingTable` against a materialized - `snapshot` of `self.graph`. Mirrors the cloud SDK's + `snapshot` of this query's graph. Mirrors the cloud SDK's `PredictiveQuery.generate_training_table`. `Trainer.fit` consumes the returned `TrainingTable` directly. Its @@ -229,7 +252,7 @@ def generate_training_table( settings are retained without keeping a graph-bound task plan. Args: - snapshot: a snapshot of `self.graph` to compile against. + snapshot: a snapshot of this query's graph to compile against. plan: if not given, uses `kumo_core`'s generation defaults, matching the local backend's existing `suggest_training_table_plan` default. @@ -327,7 +350,7 @@ def generate_prediction_table( plan: Optional[TrainingTableGenerationPlan] = None, ) -> PredictionTable: r"""Compiles this query into a `PredictionTable` against a - materialized `snapshot` of `self.graph`. Mirrors the cloud SDK's + materialized `snapshot` of this query's graph. Mirrors the cloud SDK's `PredictiveQuery.generate_prediction_table`, and parallels `generate_training_table` above. @@ -339,7 +362,7 @@ def generate_prediction_table( docstring). Args: - snapshot: a snapshot of `self.graph` to compile against. + snapshot: a snapshot of this query's graph to compile against. prediction_time: the anchor timestamp for a temporal query; when omitted, uses the latest source-time maximum across the query's target aggregations in the snapshot. diff --git a/packages/kumo-engine/test/test_query_from_snapshot.py b/packages/kumo-engine/test/test_query_from_snapshot.py new file mode 100644 index 000000000..8c2d4ee23 --- /dev/null +++ b/packages/kumo-engine/test/test_query_from_snapshot.py @@ -0,0 +1,54 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. +# All rights reserved. +# SPDX-License-Identifier: Apache-2.0 + +from dataclasses import replace + +import pandas as pd +import pytest +from kumoapi.task import TaskType + +import kumo.engine as kumo + + +def _scores(trainer, table, snapshot): + frame = trainer.predict(table, snapshot=snapshot, + binary_classification_threshold=0.5).frame + return frame.sort_values('ENTITY').reset_index(drop=True) + + +def test_snapshot_bound_query_predicts_like_graph_bound(fitted, tmp_path): + trainer, graph_table, snapshot = fitted + query = kumo.PredictiveQuery.from_snapshot(snapshot, graph_table.query) + expected = _scores(trainer, graph_table, snapshot) + + assert query.get_task_type() == TaskType.BINARY_CLASSIFICATION + table = query.generate_prediction_table( + snapshot, plan=trainer.training_table_generation_plan) + assert table.timestamps == graph_table.timestamps + pd.testing.assert_frame_equal(_scores(trainer, table, snapshot), expected) + + anchor = pd.Timestamp(graph_table.timestamps[0]) + pd.DataFrame({ + 'ENTITY1': range(50), + 'TIMESTAMP': [anchor] * 50, + }).to_parquet(tmp_path / 'rows.parquet') + supplied = kumo.PredictionTable.from_source_table( + kumo.FileConnector(root_dir=str(tmp_path))['rows.parquet'], pq=query, + snapshot=snapshot) + pd.testing.assert_frame_equal(_scores(trainer, supplied, snapshot), + expected) + + +def test_snapshot_bound_query_refuses_other_graph(fitted): + _, graph_table, snapshot = fitted + query = kumo.PredictiveQuery.from_snapshot(snapshot, graph_table.query) + newer = replace(snapshot, id=snapshot.id.split('@')[0] + '@newer') + other = replace(snapshot, id='other@' + snapshot.id.split('@')[1]) + + query._require_matching_snapshot(newer) + plain = replace(snapshot, id='plain') + kumo.PredictiveQuery.from_snapshot(plain, '')._require_matching_snapshot( + plain) + with pytest.raises(ValueError, match='was not materialized'): + query.generate_prediction_table(other) From eb0f0db08b3c5ead307c78576e01fd1f70a73eb1 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 08:08:23 +0000 Subject: [PATCH 065/123] Expose Trainer.training_query and keep the graph-bound snapshot check A job scoring a loaded model had no public way to get the query it was trained on, so binding it with PredictiveQuery.from_snapshot meant copying the text out of training-spec.json. Trainer.training_query now returns it. The snapshot check accepted a snapshot whose id equals a Graph's bare id; equality now applies only to a snapshot-bound query, so a Graph-bound query keeps the original prefix check. Verified with test_query_from_snapshot.py. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/README.md | 3 ++- packages/kumo-engine/kumo/engine/pquery/predictive_query.py | 6 ++++-- packages/kumo-engine/kumo/engine/trainer/trainer.py | 6 ++++++ packages/kumo-engine/test/test_query_from_snapshot.py | 3 ++- 4 files changed, 14 insertions(+), 4 deletions(-) diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index eea6f7072..ea9c5a9bb 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -411,7 +411,8 @@ cols=..., source_table=events.sql(query).to_source_table(), ...))`. Given `pquery = PredictiveQuery(graph, query)` and `snapshot = graph.snapshot()`, suggest and customize a plan before training. A job that has a snapshot but no -`Graph` binds the query with `PredictiveQuery.from_snapshot(snapshot, query)`. +`Graph` binds the query with `PredictiveQuery.from_snapshot(snapshot, query)`; +a loaded trainer's query is `trainer.training_query`. ```python from kumo.engine import Trainer diff --git a/packages/kumo-engine/kumo/engine/pquery/predictive_query.py b/packages/kumo-engine/kumo/engine/pquery/predictive_query.py index 0a6b0c361..f66c42399 100644 --- a/packages/kumo-engine/kumo/engine/pquery/predictive_query.py +++ b/packages/kumo-engine/kumo/engine/pquery/predictive_query.py @@ -159,8 +159,10 @@ def _require_matching_snapshot(self, snapshot: GraphSnapshot) -> None: # snapshot.id is 'graph_key@data_version_prefix' (see # Graph.snapshot()); self._graph_id is the graph_key alone, so # membership is a prefix check, not equality. - if snapshot.id != self.graph.id and not snapshot.id.startswith( - f'{self._graph_id}@'): + if isinstance(self.graph, GraphSnapshot) and (snapshot.id + == self.graph.id): + return + if not snapshot.id.startswith(f'{self._graph_id}@'): raise ValueError( f"snapshot {snapshot.id!r} was not materialized from " f"this query's graph (id {self._graph_id!r}) -- pass a " diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index b1b6b23f7..d14de379a 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -261,6 +261,12 @@ def training_table_generation_plan( """Effective table-generation settings saved by the last fit/load.""" return self._training_table_generation_plan + @property + def training_query(self) -> Optional[str]: + """Predictive query of the last fit/load, for + :meth:`PredictiveQuery.from_snapshot`.""" + return self._training_query + @property def scratch_dir(self) -> Path: return trainer_scratch_dir(self._id) diff --git a/packages/kumo-engine/test/test_query_from_snapshot.py b/packages/kumo-engine/test/test_query_from_snapshot.py index 8c2d4ee23..1e90285ea 100644 --- a/packages/kumo-engine/test/test_query_from_snapshot.py +++ b/packages/kumo-engine/test/test_query_from_snapshot.py @@ -19,7 +19,8 @@ def _scores(trainer, table, snapshot): def test_snapshot_bound_query_predicts_like_graph_bound(fitted, tmp_path): trainer, graph_table, snapshot = fitted - query = kumo.PredictiveQuery.from_snapshot(snapshot, graph_table.query) + assert trainer.training_query == graph_table.query + query = kumo.PredictiveQuery.from_snapshot(snapshot, trainer.training_query) expected = _scores(trainer, graph_table, snapshot) assert query.get_task_type() == TaskType.BINARY_CLASSIFICATION From 568ce32b02fd9c303f151de7eb41195c72c4140f Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 08:19:53 +0000 Subject: [PATCH 066/123] Trim comments and implementation-detail tests The from_snapshot change carried docstring prose that restated the code, and its graph-check test called a private helper. Shorten the module note and training_query docstring, drop the restating _parsed paragraph, and exercise the snapshot check through the public suggest_model_plan instead of _require_matching_snapshot. test_query_from_snapshot.py: 2 passed. Co-Authored-By: Claude Opus 5.5 --- .../kumo/engine/pquery/predictive_query.py | 7 +------ packages/kumo-engine/kumo/engine/trainer/trainer.py | 3 +-- .../kumo-engine/test/test_query_from_snapshot.py | 12 ++++++------ 3 files changed, 8 insertions(+), 14 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/pquery/predictive_query.py b/packages/kumo-engine/kumo/engine/pquery/predictive_query.py index f66c42399..e8f1e2d6b 100644 --- a/packages/kumo-engine/kumo/engine/pquery/predictive_query.py +++ b/packages/kumo-engine/kumo/engine/pquery/predictive_query.py @@ -7,9 +7,7 @@ `PredictiveQuery(graph, query)` binds a `Graph` at construction, matching the cloud SDK's `kumo.PredictiveQuery(graph=graph, query=QUERY)` -- not a `GraphSnapshot`. `PredictiveQuery.from_snapshot(snapshot, query)` binds a -snapshot instead, for callers that load a snapshot without its `Graph`; the -query then parses against `snapshot.graph_config`, the same portable config -the source `Graph` produces. +snapshot instead and parses against `snapshot.graph_config`. Parsing (`kumo_core.pquery.parse_and_validate_query` against `self._native_graph`, needing no materialized index) happens lazily, on first @@ -149,9 +147,6 @@ def _parsed(self) -> ValidatedNativeQuery: `task_type`/`task_family`/`query_type` on the returned `ValidatedNativeQuery` are all plain `str`; `get_task_type` below wraps `task_type` into the shared, public `kumoapi.task.TaskType`. - - For a `Graph`, reuses its cached `native_graph`, shared by - `Graph.validate()` and every `PredictiveQuery` bound to it. """ return parse_and_validate_query(self.query, self._native_graph) diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index d14de379a..30dad4077 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -263,8 +263,7 @@ def training_table_generation_plan( @property def training_query(self) -> Optional[str]: - """Predictive query of the last fit/load, for - :meth:`PredictiveQuery.from_snapshot`.""" + """Predictive query of the last fit/load.""" return self._training_query @property diff --git a/packages/kumo-engine/test/test_query_from_snapshot.py b/packages/kumo-engine/test/test_query_from_snapshot.py index 1e90285ea..b106248aa 100644 --- a/packages/kumo-engine/test/test_query_from_snapshot.py +++ b/packages/kumo-engine/test/test_query_from_snapshot.py @@ -41,15 +41,15 @@ def test_snapshot_bound_query_predicts_like_graph_bound(fitted, tmp_path): expected) -def test_snapshot_bound_query_refuses_other_graph(fitted): +def test_snapshot_bound_query_checks_snapshot_graph(fitted): _, graph_table, snapshot = fitted query = kumo.PredictiveQuery.from_snapshot(snapshot, graph_table.query) newer = replace(snapshot, id=snapshot.id.split('@')[0] + '@newer') other = replace(snapshot, id='other@' + snapshot.id.split('@')[1]) - - query._require_matching_snapshot(newer) plain = replace(snapshot, id='plain') - kumo.PredictiveQuery.from_snapshot(plain, '')._require_matching_snapshot( - plain) + + query.suggest_model_plan(newer) + kumo.PredictiveQuery.from_snapshot(plain, graph_table.query) \ + .suggest_model_plan(plain) with pytest.raises(ValueError, match='was not materialized'): - query.generate_prediction_table(other) + query.suggest_model_plan(other) From 3df8621772db412cc84b58ce44533ce356300a61 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 18:33:31 +0000 Subject: [PATCH 067/123] Show where a graph-free job gets its snapshot The README bound a query with PredictiveQuery.from_snapshot(snapshot, ...) without saying where a scoring job with no Graph code gets the snapshot. It now names the load (GraphSnapshot.load_from_connector on the location the training job's export returned) and uses trainer.training_query. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/README.md | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index ea9c5a9bb..cfd220c4e 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -410,9 +410,11 @@ cols=..., source_table=events.sql(query).to_source_table(), ...))`. ## Model-plan suggestions Given `pquery = PredictiveQuery(graph, query)` and `snapshot = graph.snapshot()`, -suggest and customize a plan before training. A job that has a snapshot but no -`Graph` binds the query with `PredictiveQuery.from_snapshot(snapshot, query)`; -a loaded trainer's query is `trainer.training_query`. +suggest and customize a plan before training. A scoring job without `Graph` +code loads the snapshot the training job exported +(`GraphSnapshot.load_from_connector(store, path=location)`, where `location` is +what `graph.snapshot().export(store, 'snapshots')` returned) and binds the query +with `PredictiveQuery.from_snapshot(snapshot, trainer.training_query)`. ```python from kumo.engine import Trainer From 8d2397099df684a9c0485b221dee508adda3f84d Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 18:47:20 +0000 Subject: [PATCH 068/123] Read the native graph and graph id from GraphSnapshot PredictiveQuery kept its own normalized-graph cache and parsed the graph id out of snapshot ids. GraphSnapshot now offers native_graph (cached, like Graph.native_graph), and the snapshot check compares graph_key. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/kumo/engine/graph.py | 6 +++ .../kumo/engine/pquery/predictive_query.py | 38 ++++++------------- 2 files changed, 18 insertions(+), 26 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/graph.py b/packages/kumo-engine/kumo/engine/graph.py index 85b8178b3..966bde62f 100644 --- a/packages/kumo-engine/kumo/engine/graph.py +++ b/packages/kumo-engine/kumo/engine/graph.py @@ -323,6 +323,12 @@ def data_version(self) -> str: from; `id` carries its first 16 characters.""" return Path(self.index_path).name + @cached_property + def native_graph(self) -> NativeGraph: + """`graph_config` in `kumo_core`'s normalized form, as + `Graph.native_graph`.""" + return normalize_graph(self.graph_config) + def export(self, connector: Connector, path: str) -> str: r"""Copy the index to `//` and return that location. Any earlier export there is replaced; it is not diff --git a/packages/kumo-engine/kumo/engine/pquery/predictive_query.py b/packages/kumo-engine/kumo/engine/pquery/predictive_query.py index e8f1e2d6b..7d4463aa4 100644 --- a/packages/kumo-engine/kumo/engine/pquery/predictive_query.py +++ b/packages/kumo-engine/kumo/engine/pquery/predictive_query.py @@ -10,7 +10,7 @@ snapshot instead and parses against `snapshot.graph_config`. Parsing (`kumo_core.pquery.parse_and_validate_query` against -`self._native_graph`, needing no materialized index) happens lazily, on first +`self.graph.native_graph`, needing no materialized index) happens lazily, on first access to the `_parsed` `cached_property`, and only once: `validate()`/`get_task_type()` both read that same property rather than re-parsing on every call. Confirmed against the existing local backend's own @@ -59,9 +59,7 @@ ) from kumo_core.model_plan_conversion import public_model_plan_from_internal from kumo_core.pquery import ( - NativeGraph, ValidatedNativeQuery, - normalize_graph, parse_and_validate_query, query_is_temporal, resolve_query_split, @@ -112,21 +110,9 @@ def from_snapshot(cls, snapshot: GraphSnapshot, r"""Bind `query` to `snapshot`'s graph without its `Graph` object.""" return cls(graph=snapshot, query=query) - @cached_property - def _native_graph(self) -> NativeGraph: - if isinstance(self.graph, GraphSnapshot): - return normalize_graph(self.graph.graph_config) - return self.graph.native_graph - - @property - def _graph_id(self) -> str: - if isinstance(self.graph, GraphSnapshot): - return self.graph.id.partition('@')[0] - return self.graph.id - @cached_property def _parsed(self) -> ValidatedNativeQuery: - r"""Parses and validates `self.query` against `self._native_graph`, + r"""Parses and validates `self.query` against `self.graph.native_graph`, via `kumo_core.pquery.parse_and_validate_query` -- the same parser `Trainer._predict` already calls directly, and what `kumo_core.training.workflow.TrainingWorkflowRequest.from_spec` @@ -148,19 +134,19 @@ def _parsed(self) -> ValidatedNativeQuery: `ValidatedNativeQuery` are all plain `str`; `get_task_type` below wraps `task_type` into the shared, public `kumoapi.task.TaskType`. """ - return parse_and_validate_query(self.query, self._native_graph) + return parse_and_validate_query(self.query, self.graph.native_graph) def _require_matching_snapshot(self, snapshot: GraphSnapshot) -> None: - # snapshot.id is 'graph_key@data_version_prefix' (see - # Graph.snapshot()); self._graph_id is the graph_key alone, so - # membership is a prefix check, not equality. - if isinstance(self.graph, GraphSnapshot) and (snapshot.id - == self.graph.id): - return - if not snapshot.id.startswith(f'{self._graph_id}@'): + if isinstance(self.graph, GraphSnapshot): + if snapshot.id == self.graph.id: + return + graph_key = self.graph.graph_key + else: + graph_key = self.graph.id + if snapshot.graph_key != graph_key: raise ValueError( f"snapshot {snapshot.id!r} was not materialized from " - f"this query's graph (id {self._graph_id!r}) -- pass a " + f"this query's graph (id {graph_key!r}) -- pass a " "snapshot of that graph.") def validate(self, verbose: bool = True) -> ValidationResponse: @@ -193,7 +179,7 @@ def get_task_type(self) -> TaskType: def _model_plan_validation_facts(self, run_mode: RunMode) -> dict[str, Any]: parsed = self._parsed - graph = self._native_graph + graph = self.graph.native_graph entity_tables = [parsed.entity_table] if parsed.rhs_node_type is not None: entity_tables.append(parsed.rhs_node_type) From 975d1449acab4a3f8b853791721500257d4170a1 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 21:18:29 +0000 Subject: [PATCH 069/123] Add Trainer.predict_snapshot for one-call graph-free scoring A graph-free scoring job had to bind the saved query to the snapshot, pass the saved generation plan to generate_prediction_table and then call predict; each caller (MLflow model, job scripts) repeated that. Trainer.predict_snapshot(snapshot, *, entities=None, prediction_time=None, ...) does it in one call with predict's options. The docs now say the query's graph check only ties a snapshot to the query's graph, not to a trained model. Verified with the query-from-snapshot and predictive-query tests. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/README.md | 9 +++- .../kumo/engine/pquery/predictive_query.py | 8 +++- .../kumo/engine/trainer/trainer.py | 42 +++++++++++++++++++ .../test/test_query_from_snapshot.py | 20 +++++++++ 4 files changed, 76 insertions(+), 3 deletions(-) diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index cfd220c4e..41b5658b2 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -413,8 +413,13 @@ Given `pquery = PredictiveQuery(graph, query)` and `snapshot = graph.snapshot()` suggest and customize a plan before training. A scoring job without `Graph` code loads the snapshot the training job exported (`GraphSnapshot.load_from_connector(store, path=location)`, where `location` is -what `graph.snapshot().export(store, 'snapshots')` returned) and binds the query -with `PredictiveQuery.from_snapshot(snapshot, trainer.training_query)`. +what `graph.snapshot().export(store, 'snapshots')` returned) and scores it with +`trainer.predict_snapshot(snapshot)`, which reuses the trained query and +table-generation plan (`entities=` scores given rows instead; +`prediction_time=`, `output_config=` and the thresholds are as in `predict`). +`PredictiveQuery.from_snapshot(snapshot, trainer.training_query)` binds the +query directly. Its graph check only means the snapshot belongs to the query's +graph, not that it is compatible with the trained model. ```python from kumo.engine import Trainer diff --git a/packages/kumo-engine/kumo/engine/pquery/predictive_query.py b/packages/kumo-engine/kumo/engine/pquery/predictive_query.py index 7d4463aa4..1e738fc64 100644 --- a/packages/kumo-engine/kumo/engine/pquery/predictive_query.py +++ b/packages/kumo-engine/kumo/engine/pquery/predictive_query.py @@ -107,7 +107,13 @@ class PredictiveQuery: @classmethod def from_snapshot(cls, snapshot: GraphSnapshot, query: str) -> 'PredictiveQuery': - r"""Bind `query` to `snapshot`'s graph without its `Graph` object.""" + r"""Bind `query` to `snapshot`'s graph without its `Graph` object. + + Snapshots passed to this query's methods must come from the same + graph (same `graph_key`). That only checks the snapshot belongs to + this query's graph; it says nothing about compatibility with a + trained model. + """ return cls(graph=snapshot, query=query) @cached_property diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index 30dad4077..e0d5cac4f 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -45,6 +45,7 @@ from kumo.engine._manifest import BundleProvenance from kumo.engine._scratch import new_run_id, trainer_scratch_dir from kumo.engine.connector.base import Connector +from kumo.engine.connector.source_table import SourceTable from kumo.engine.graph import GraphSnapshot from kumo.engine.pquery.prediction_table import PredictionTable from kumo.engine.pquery.training_table import TrainingTable @@ -576,6 +577,47 @@ def _finish_fit( return training_result + def predict_snapshot( + self, + snapshot: GraphSnapshot, + *, + entities: Optional[SourceTable] = None, + prediction_time: Optional[datetime] = None, + output_config: Optional[PredictionOutputConfig] = None, + num_classes_to_return: Optional[int] = None, + num_workers: int = 1, + binary_classification_threshold: Optional[float] = None, + ) -> PredictionResult: + r"""Score ``snapshot`` with the query and table-generation plan saved + by the last fit/load. + + Without ``entities``, scores the query's population at + ``prediction_time`` (as :meth:`PredictiveQuery.generate_prediction_table`). + ``entities`` is a source table of ``ENTITY1`` (and ``TIMESTAMP`` where + the task needs one) rows to score instead. Other arguments are as in + :meth:`predict`. + """ + from kumo.engine.pquery.predictive_query import PredictiveQuery + + if self._training_query is None: + raise RuntimeError( + "Trainer.predict_snapshot() requires a prior Trainer.fit() or " + "Trainer.load() call on this same Trainer instance.") + if entities is not None and prediction_time is not None: + raise ValueError("Pass prediction_time or entities, not both; " + "put anchor times in the entities' TIMESTAMP.") + query = PredictiveQuery.from_snapshot(snapshot, self._training_query) + plan = self._training_table_generation_plan + table = (query.generate_prediction_table( + snapshot, prediction_time=prediction_time, plan=plan) + if entities is None else PredictionTable.from_source_table( + entities, pq=query, snapshot=snapshot, plan=plan)) + return self.predict( + table, snapshot=snapshot, output_config=output_config, + num_classes_to_return=num_classes_to_return, + num_workers=num_workers, + binary_classification_threshold=binary_classification_threshold) + def predict( self, prediction_table: PredictionTable, diff --git a/packages/kumo-engine/test/test_query_from_snapshot.py b/packages/kumo-engine/test/test_query_from_snapshot.py index b106248aa..65629f9b4 100644 --- a/packages/kumo-engine/test/test_query_from_snapshot.py +++ b/packages/kumo-engine/test/test_query_from_snapshot.py @@ -41,6 +41,26 @@ def test_snapshot_bound_query_predicts_like_graph_bound(fitted, tmp_path): expected) +def test_predict_snapshot_scores_with_the_saved_query(fitted, tmp_path): + trainer, graph_table, snapshot = fitted + expected = _scores(trainer, graph_table, snapshot) + + def scores(**options): + return trainer.predict_snapshot( + snapshot, binary_classification_threshold=0.5, + **options).frame.sort_values('ENTITY').reset_index(drop=True) + + pd.testing.assert_frame_equal(scores(), expected) + pd.DataFrame({ + 'ENTITY1': range(50), + 'TIMESTAMP': [pd.Timestamp(graph_table.timestamps[0])] * 50, + }).to_parquet(tmp_path / 'rows.parquet') + rows = kumo.FileConnector(root_dir=str(tmp_path))['rows.parquet'] + pd.testing.assert_frame_equal(scores(entities=rows), expected) + with pytest.raises(ValueError, match='not both'): + scores(entities=rows, prediction_time=graph_table.timestamps[0]) + + def test_snapshot_bound_query_checks_snapshot_graph(fitted): _, graph_table, snapshot = fitted query = kumo.PredictiveQuery.from_snapshot(snapshot, graph_table.query) From 2c619ea0c5cfc58d2058d6bad071605cffbb0651 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 21:20:23 +0000 Subject: [PATCH 070/123] Distinguish graph-free scoring in the model reload docs The reload section told every scoring job to rebuild the live graph and snapshot, contradicting the graph-free path documented above it. It now says a job with Graph code rebuilds the snapshot and one without loads an exported snapshot and calls trainer.predict_snapshot. Docs only. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/README.md | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index 41b5658b2..3ebd69e13 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -459,9 +459,11 @@ restored = Trainer.load(result.bundle_dir) # pass the recorded path For an exported model, use `Trainer.load_from_connector(connector, path="model/version")`, or -`location=ModelRegistryLocation(...)` for Snowflake Model Registry. Rebuild -the live graph and snapshot before generating prediction inputs. Bundles -contain trained artifacts, not source data or graph storage. +`location=ModelRegistryLocation(...)` for Snowflake Model Registry. A scoring +job with `Graph` code rebuilds the live graph and snapshot; one without loads an +exported snapshot with `GraphSnapshot.load_from_connector(...)` and calls +`trainer.predict_snapshot(snapshot)`. Bundles contain trained artifacts, not +source data or graph storage. With `export_config`, `result.published_model` records the assigned name, version, and URI; otherwise it is `None`. Snowflake also records training metrics and From 2cc4e5ca2e4979c0e33cbd3de2f00cfd0949dcbb Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 22:36:39 +0000 Subject: [PATCH 071/123] Test graph-free scoring of an exported snapshot end to end Exports the fitted snapshot, loads it into a fresh scratch directory without a Graph, reloads the model from its bundle and scores with predict_snapshot and with PredictiveQuery.from_snapshot; both match the graph-bound scores. Co-Authored-By: Claude Opus 5.5 --- .../test/test_query_from_snapshot.py | 27 +++++++++++++++++++ 1 file changed, 27 insertions(+) diff --git a/packages/kumo-engine/test/test_query_from_snapshot.py b/packages/kumo-engine/test/test_query_from_snapshot.py index 65629f9b4..87866165c 100644 --- a/packages/kumo-engine/test/test_query_from_snapshot.py +++ b/packages/kumo-engine/test/test_query_from_snapshot.py @@ -9,6 +9,7 @@ from kumoapi.task import TaskType import kumo.engine as kumo +from kumo.engine._scratch import get_scratch_dir def _scores(trainer, table, snapshot): @@ -61,6 +62,32 @@ def scores(**options): scores(entities=rows, prediction_time=graph_table.timestamps[0]) +def test_exported_snapshot_scores_in_a_fresh_scratch_without_a_graph( + fitted, tmp_path): + trainer, graph_table, snapshot = fitted + expected = _scores(trainer, graph_table, snapshot) + exports = kumo.FileConnector(root_dir=str(tmp_path / 'exports')) + location = snapshot.export(exports, 'snapshots') + bundle = trainer._training_result.bundle_dir + previous = get_scratch_dir() + kumo.configure(scratch_dir=tmp_path / 'fresh') + try: + loaded = kumo.GraphSnapshot.load_from_connector(exports, path=location) + assert loaded.id == snapshot.id + assert loaded.index_path.is_relative_to(tmp_path / 'fresh') + model = kumo.Trainer.load(bundle) + scored = model.predict_snapshot( + loaded, binary_classification_threshold=0.5).frame + pd.testing.assert_frame_equal( + scored.sort_values('ENTITY').reset_index(drop=True), expected) + query = kumo.PredictiveQuery.from_snapshot(loaded, model.training_query) + table = query.generate_prediction_table( + loaded, plan=model.training_table_generation_plan) + pd.testing.assert_frame_equal(_scores(model, table, loaded), expected) + finally: + kumo.configure(scratch_dir=previous) + + def test_snapshot_bound_query_checks_snapshot_graph(fitted): _, graph_table, snapshot = fitted query = kumo.PredictiveQuery.from_snapshot(snapshot, graph_table.query) From 49bae78d7b7a33ca5e8d72ab7ffd8f0821629a90 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Thu, 22 Oct 2026 01:14:39 +0000 Subject: [PATCH 072/123] Warn when predict_snapshot scores another graph's snapshot predict_snapshot bound the saved query to whatever snapshot it was given, so scoring a snapshot of a different graph than the model was trained on went through silently. It now warns (and still scores) when the snapshot's graph_key differs from the graph key of the snapshot recorded at fit/load. Verified with test_query_from_snapshot.py. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/README.md | 4 +++- packages/kumo-engine/kumo/engine/trainer/trainer.py | 9 ++++++++- packages/kumo-engine/test/test_query_from_snapshot.py | 6 ++++++ 3 files changed, 17 insertions(+), 2 deletions(-) diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index 3ebd69e13..f67d39175 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -416,7 +416,9 @@ code loads the snapshot the training job exported what `graph.snapshot().export(store, 'snapshots')` returned) and scores it with `trainer.predict_snapshot(snapshot)`, which reuses the trained query and table-generation plan (`entities=` scores given rows instead; -`prediction_time=`, `output_config=` and the thresholds are as in `predict`). +`prediction_time=`, `output_config=` and the thresholds are as in `predict`; +it warns when the snapshot was taken of a different graph than the training +snapshot). `PredictiveQuery.from_snapshot(snapshot, trainer.training_query)` binds the query directly. Its graph check only means the snapshot belongs to the query's graph, not that it is compatible with the trained model. diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index e0d5cac4f..4e5feff56 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -595,7 +595,8 @@ def predict_snapshot( ``prediction_time`` (as :meth:`PredictiveQuery.generate_prediction_table`). ``entities`` is a source table of ``ENTITY1`` (and ``TIMESTAMP`` where the task needs one) rows to score instead. Other arguments are as in - :meth:`predict`. + :meth:`predict`. Warns when ``snapshot`` was taken of a different + graph than the one the model was trained on. """ from kumo.engine.pquery.predictive_query import PredictiveQuery @@ -606,6 +607,12 @@ def predict_snapshot( if entities is not None and prediction_time is not None: raise ValueError("Pass prediction_time or entities, not both; " "put anchor times in the entities' TIMESTAMP.") + trained = (self._snapshot_id or '').partition('@')[0] + if trained and snapshot.graph_key != trained: + warnings.warn( + f"Snapshot {snapshot.id} was taken of graph " + f"{snapshot.graph_key}, but this model was trained on a " + f"snapshot of graph {trained}.", UserWarning, stacklevel=2) query = PredictiveQuery.from_snapshot(snapshot, self._training_query) plan = self._training_table_generation_plan table = (query.generate_prediction_table( diff --git a/packages/kumo-engine/test/test_query_from_snapshot.py b/packages/kumo-engine/test/test_query_from_snapshot.py index 87866165c..da611aa38 100644 --- a/packages/kumo-engine/test/test_query_from_snapshot.py +++ b/packages/kumo-engine/test/test_query_from_snapshot.py @@ -60,6 +60,12 @@ def scores(**options): pd.testing.assert_frame_equal(scores(entities=rows), expected) with pytest.raises(ValueError, match='not both'): scores(entities=rows, prediction_time=graph_table.timestamps[0]) + other = replace(snapshot, id='other@' + snapshot.id.split('@')[1]) + with pytest.warns(UserWarning, match='trained on a snapshot of graph'): + scored = trainer.predict_snapshot( + other, binary_classification_threshold=0.5).frame + pd.testing.assert_frame_equal( + scored.sort_values('ENTITY').reset_index(drop=True), expected) def test_exported_snapshot_scores_in_a_fresh_scratch_without_a_graph( From 6bdd7954755e9cb1a11596c58b61e4733d71d508 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Tue, 20 Oct 2026 20:07:09 +0000 Subject: [PATCH 073/123] Report fit progress events to callbacks and JSON-lines stdout Trainer.fit gave no progress signal beyond log text: training bindings hard-wire no-op instrumentation and there was no callback hook, so trackers and job log capture could not follow trials or epochs. Add kumo.engine.Event and Trainer.fit(callbacks=...). Events are fit_started, trial_started (searched hyperparameters), epoch_ended (train_/val_ metrics), trial_ended (tune metric, seconds, status) and fit_ended (final metrics or failure). kumo-core gains an on_event training binding that AutoTrainer uses for trial events and a small Lightning callback for epoch ends. configure(progress='json') or KUMO_ENGINE_PROGRESS=json prints one JSON line per event. Emission is best-effort: any error building or delivering an event is logged as a warning, and a raising callback is not called again. With no callbacks and progress off nothing is computed or attached. Verified with a two-trial CPU fit (event order, metrics, JSON lines, raising callback, and a callback-free fit giving the same bundle files and metric keys with no stdout events), a failed-fit test, best-effort unit tests, and the existing training, warm-start and fit suites. Co-Authored-By: Claude Opus 5.5 --- .../src/kumo_core/automl/auto_trainer.py | 53 +++++- .../src/kumo_core/automl/searcher.py | 22 +++ .../callbacks/train_progress_logger.py | 28 +++- .../src/kumo_core/training/orchestration.py | 2 + .../src/kumo_core/training/runtime.py | 12 +- .../kumo-core/tests/test_searched_params.py | 31 ++++ packages/kumo-engine/kumo/engine/__init__.py | 2 + packages/kumo-engine/kumo/engine/_events.py | 148 ++++++++++++++++ packages/kumo-engine/kumo/engine/config.py | 14 +- .../kumo/engine/trainer/_runtime.py | 5 +- .../kumo/engine/trainer/trainer.py | 71 +++++++- packages/kumo-engine/test/test_fit_events.py | 158 ++++++++++++++++++ 12 files changed, 530 insertions(+), 16 deletions(-) create mode 100644 packages/kumo-core/tests/test_searched_params.py create mode 100644 packages/kumo-engine/kumo/engine/_events.py create mode 100644 packages/kumo-engine/test/test_fit_events.py diff --git a/packages/kumo-core/src/kumo_core/automl/auto_trainer.py b/packages/kumo-core/src/kumo_core/automl/auto_trainer.py index 5dd818966..55b983453 100644 --- a/packages/kumo-core/src/kumo_core/automl/auto_trainer.py +++ b/packages/kumo-core/src/kumo_core/automl/auto_trainer.py @@ -12,11 +12,12 @@ import math import os import os.path as osp +import time import traceback import warnings from dataclasses import asdict, dataclass, fields, is_dataclass from enum import Enum -from typing import Any +from typing import Any, Callable import pandas as pd import torch @@ -33,11 +34,13 @@ resolve_warm_start, with_na_strategy, ) +from kumo_core.automl.searcher import searched_params from kumo_core.callbacks.stopper import TopKEarlyStopping from kumo_core.embedding_models import require_encoder_models from kumo_core.callbacks.train_progress_logger import ( AutoTrainerProgress, AutoTrainingProgressLogger, + EpochEventEmitter, ) from kumo_core.instrumentation import TrainingInstrumentation from kumo_core.io import filesystem @@ -209,6 +212,8 @@ class AutoTrainer: home_dir: The home directory used to resolve ``root_dir`` and to load/save :class:`TrainStatus`. If ``None``, the runtime supplies its default. + on_event: Receives ``trial_started``, ``epoch_ended`` and + ``trial_ended`` progress events as plain dicts. """ def __init__( self, @@ -221,6 +226,7 @@ def __init__( checkpoint_path: str | None = None, home_dir: str | None = None, checkpoint_encoder_dir: str | None = None, + on_event: Callable[[dict[str, Any]], None] | None = None, **kwargs: Any, ) -> None: if not isinstance(task, ResolvedNumericalTask): @@ -229,6 +235,7 @@ def __init__( self.task = task self.runtime = runtime self.instrumentation = instrumentation + self.on_event = on_event self.checkpoint_path = checkpoint_path self.checkpoint_encoder_dir = checkpoint_encoder_dir self.max_tries = max_tries @@ -458,6 +465,7 @@ def _train( metrics_client_job_name: str, pruning: Callback | None = None, status: TrainStatus | None = None, + trial: int | None = None, ) -> list[float]: r"""Config-driven training function. @@ -715,6 +723,10 @@ def _train( # Add progress logging callback: self.training_progress_logger.set_current_trainer(trainer) trainer.pl_trainer.callbacks.append(self.training_progress_logger) + epoch_events = None + if self.on_event is not None and trial is not None: + epoch_events = EpochEventEmitter(self.on_event, trial) + trainer.pl_trainer.callbacks.append(epoch_events) # Save AutoTrainer YAML (Trainer YAML will be saved within # Trainer itself). The AutoTrainer configuration contains relevant @@ -741,6 +753,8 @@ def _train( del self.training_progress_logger.log del self.training_progress_logger.log_dict trainer.pl_trainer.callbacks.remove(self.training_progress_logger) + if epoch_events is not None: + trainer.pl_trainer.callbacks.remove(epoch_events) if pruning is not None: # Prevent keeping old trainer state around. @@ -872,12 +886,20 @@ def _run( logger.info(f"Starting AutoML experiment " f"{i + 1}/{self.num_experiments}") + self._emit('trial_started', lambda: { + 'trial': i + 1, + 'params': { + **searched_params(self.space, cfg), + 'attempt': j + 1, + }, + }) batch_size = cfg.optimization.batch_size[0] with self.instrumentation.timing( "auto_trainer.run.status_add_trial", trial=i + 1): status.add_trial(batch_size) status.save(self.home_dir) + trial_start = time.monotonic() with self.instrumentation.timing( "auto_trainer.run.train_trial", trial=i + 1): val_performance = self._train( @@ -885,8 +907,20 @@ def _run( metrics_client_job_name=metrics_job_name, pruning=pruning, status=status, + trial=i + 1, ) best_performance = _eval_fn[tune_mode](val_performance) + self._emit('trial_ended', lambda: { + 'trial': i + 1, + 'metrics': { + self.val_tune_metric: float(best_performance), + 'seconds': time.monotonic() - trial_start, + }, + 'params': { + 'status': 'succeeded', + 'attempt': j + 1, + }, + }) logger.info(f"AutoML experiment " f"{i + 1}/{self.num_experiments} finished " f"with validation performance: " @@ -905,6 +939,14 @@ def _run( break except RuntimeError as e: + self._emit('trial_ended', lambda: { + 'trial': i + 1, + 'params': { + 'status': 'failed', + 'attempt': j + 1, + 'error': type(e).__name__, + }, + }) stacktrace = ''.join( traceback.format_exception(e, e, e.__traceback__)) logger.warning(stacktrace) @@ -957,6 +999,15 @@ def _run( should_init=init_best_trainer): return self.get_best_trainer(should_init=init_best_trainer) + def _emit(self, name: str, fields: Callable[[], dict[str, Any]]) -> None: + if self.on_event is None: + return + try: + self.on_event({'name': name, **fields()}) + except Exception: + logger.warning(f"Could not report progress event '{name}'", + exc_info=True) + def _handle_oom_retry( self, cfg: ModelPlan, diff --git a/packages/kumo-core/src/kumo_core/automl/searcher.py b/packages/kumo-core/src/kumo_core/automl/searcher.py index f8810e7b6..7fa43d707 100644 --- a/packages/kumo-core/src/kumo_core/automl/searcher.py +++ b/packages/kumo-core/src/kumo_core/automl/searcher.py @@ -99,3 +99,25 @@ def sample_instance(self) -> PlanT: def __repr__(self) -> str: return f"{self.__class__.__name__}()" + + +def searched_params(space: SearchPlan, cfg: SearchPlan) -> dict[str, Any]: + """Returns the values ``cfg`` took for fields ``space`` searches over.""" + def is_searched(value: Any, metadata: Any) -> bool: + if not metadata.tunable or isinstance(value, MissingType): + return False + return len(value) > 1 or any( + is_searched(subvalue, submetadata) for plan in value + if isinstance(plan, PlanMixin) + for _, subvalue, submetadata in plan.items()) + + params: dict[str, Any] = {} + for field in fields(space): + for key, value, metadata in getattr(space, field.name).items(): + if is_searched(value, metadata): + chosen = getattr(getattr(cfg, field.name), key)[0] + params[f"{field.name}.{key}"] = ( + chosen if chosen is None + or isinstance(chosen, (bool, int, float, str)) else + str(chosen)) + return params diff --git a/packages/kumo-core/src/kumo_core/callbacks/train_progress_logger.py b/packages/kumo-core/src/kumo_core/callbacks/train_progress_logger.py index 45f124db5..c967df680 100644 --- a/packages/kumo-core/src/kumo_core/callbacks/train_progress_logger.py +++ b/packages/kumo-core/src/kumo_core/callbacks/train_progress_logger.py @@ -5,7 +5,7 @@ import logging import os.path as osp from datetime import datetime, timezone -from typing import Any +from typing import Any, Callable import kumoapi.jobs as jobs_api from kumo_core.io.json import load_json, save_json @@ -187,3 +187,29 @@ def on_train_epoch_end(self, pl_trainer, pl_module): def on_validation_end(self, pl_trainer, pl_module): if pl_trainer.state.fn == TrainerFn.VALIDATING: save_json(self.progress, self.path) + + +class EpochEventEmitter(MonitoringCallback): + r"""Reports each finished training epoch's metrics to ``on_event``, + best-effort.""" + def __init__(self, on_event: Callable[[dict[str, Any]], None], + trial: int): + super().__init__() + self.on_event = on_event + self.trial = trial + + def on_train_epoch_end(self, pl_trainer, pl_module): + try: + self.on_event({ + 'name': 'epoch_ended', + 'trial': self.trial, + 'epoch': pl_trainer.current_epoch + 1, + 'metrics': { + key: float(value) + for key, value in pl_trainer.progress_bar_metrics.items() + if key.startswith(('train_', 'val_')) + }, + }) + except Exception: + logger.warning("Could not report progress event 'epoch_ended'", + exc_info=True) diff --git a/packages/kumo-core/src/kumo_core/training/orchestration.py b/packages/kumo-core/src/kumo_core/training/orchestration.py index b7235971c..274346041 100644 --- a/packages/kumo-core/src/kumo_core/training/orchestration.py +++ b/packages/kumo-core/src/kumo_core/training/orchestration.py @@ -96,6 +96,7 @@ class TrainingBindings: artifact_publisher: VitalArtifactPublisher before_evaluate: Callable[[], None] = _no_op load_validation_metrics: MetricsLoader = _empty_metrics + on_event: Callable[[dict[str, Any]], None] | None = None @dataclass(frozen=True) @@ -286,6 +287,7 @@ def _create_auto_trainer( task=training_input.task, runtime=bindings.runtime, instrumentation=bindings.instrumentation, + on_event=bindings.on_event, random_state_seed=options.random_state_seed, checkpoint_path=checkpoint_path, checkpoint_encoder_dir=checkpoint_encoder_dir, diff --git a/packages/kumo-core/src/kumo_core/training/runtime.py b/packages/kumo-core/src/kumo_core/training/runtime.py index 096584f72..c81472a2e 100644 --- a/packages/kumo-core/src/kumo_core/training/runtime.py +++ b/packages/kumo-core/src/kumo_core/training/runtime.py @@ -7,7 +7,15 @@ import os from pathlib import Path -from typing import TYPE_CHECKING, Any, Dict, Optional, Protocol, Tuple +from typing import ( + TYPE_CHECKING, + Any, + Callable, + Dict, + Optional, + Protocol, + Tuple, +) import psutil from diskgraph import SamplerEngine @@ -202,6 +210,7 @@ def local_training_bindings( training_input: Any, run_name: Optional[str] = None, embedding_models: Optional[EmbeddingModelStore] = None, + on_event: Optional[Callable[[dict[str, Any]], None]] = None, ) -> Any: r"""Binds one resolved training input to this process. @@ -226,4 +235,5 @@ def local_training_bindings( artifact_publisher=FilesystemVitalArtifactPublisher( Path(training_input.home_dir) / 'published-model'), load_validation_metrics=_trainer_validation_metrics, + on_event=on_event, ) diff --git a/packages/kumo-core/tests/test_searched_params.py b/packages/kumo-core/tests/test_searched_params.py new file mode 100644 index 000000000..67c3ee72a --- /dev/null +++ b/packages/kumo-core/tests/test_searched_params.py @@ -0,0 +1,31 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. +# All rights reserved. +# SPDX-License-Identifier: Apache-2.0 + +import json + +from kumo_core.automl.optuna_searcher import TPESearcher +from kumo_core.automl.searcher import searched_params +from kumo_core.model_plan import ModelPlan + + +def test_searched_params_reports_only_varied_fields_as_json(): + space = ModelPlan() + space.training_job.tune_metric = 'mae' + space.optimization.base_lr = [0.1, 0.01] + space.optimization.batch_size = [512] + space.optimization.optimizer = ['Adam', 'AdamW'] + space.neighbor_sampling.num_neighbors = [[16, 8], [8, 4]] + space.model_architecture.channels = [64, 128] + + cfg = TPESearcher(space, seed=0).suggest() + params = searched_params(space, cfg) + + assert set(params) == { + 'optimization.base_lr', 'optimization.optimizer', + 'model_architecture.channels', 'neighbor_sampling.num_neighbors' + } + assert params['optimization.base_lr'] == cfg.optimization.base_lr[0] + assert params['neighbor_sampling.num_neighbors'] == str( + cfg.neighbor_sampling.num_neighbors[0]) + json.dumps(params) diff --git a/packages/kumo-engine/kumo/engine/__init__.py b/packages/kumo-engine/kumo/engine/__init__.py index fe68f71be..873f35908 100644 --- a/packages/kumo-engine/kumo/engine/__init__.py +++ b/packages/kumo-engine/kumo/engine/__init__.py @@ -25,6 +25,7 @@ from kumoapi.plugin import ModelRegistryLocation from kumoapi.table import Column +from kumo.engine._events import Event from kumo.engine._version import __version__ from kumo.engine.config import configure from kumo.engine.connector import ( @@ -59,6 +60,7 @@ __all__ = [ "__version__", "configure", + "Event", "EmbeddingModelStore", "GloVeVectors", "TokenEmbeddingModel", diff --git a/packages/kumo-engine/kumo/engine/_events.py b/packages/kumo-engine/kumo/engine/_events.py new file mode 100644 index 000000000..84eee6c1b --- /dev/null +++ b/packages/kumo-engine/kumo/engine/_events.py @@ -0,0 +1,148 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. +# All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +r"""Progress events reported by `Trainer.fit`.""" + +import json +import logging +import math +import os +import sys +import time +from dataclasses import dataclass, field +from typing import ( + Any, + Callable, + Dict, + List, + Literal, + Mapping, + Optional, + Sequence, +) + +logger = logging.getLogger(__name__) + +EventName = Literal['fit_started', 'trial_started', 'epoch_ended', + 'trial_ended', 'fit_ended'] +Progress = Literal['json', 'off'] + + +@dataclass(frozen=True) +class Event: + r"""One progress event. ``trial`` and ``epoch`` count from 1.""" + + name: EventName + run_id: str + time: float + trial: Optional[int] = None + epoch: Optional[int] = None + metrics: Mapping[str, float] = field(default_factory=dict) + params: Mapping[str, Any] = field(default_factory=dict) + + def to_dict(self) -> Dict[str, Any]: + return { + 'name': self.name, + 'run_id': self.run_id, + 'time': self.time, + 'trial': self.trial, + 'epoch': self.epoch, + 'metrics': dict(self.metrics), + 'params': dict(self.params), + } + + +_progress: Optional[Progress] = None + + +def set_progress(progress: Progress) -> None: + global _progress + if progress not in ('json', 'off'): + raise ValueError(f"progress must be 'json' or 'off', got {progress!r}") + _progress = progress + + +def get_progress() -> Progress: + if _progress is not None: + return _progress + value = os.environ.get('KUMO_ENGINE_PROGRESS', 'off') + if value not in ('json', 'off'): + logger.warning("Ignoring KUMO_ENGINE_PROGRESS=%r; expected 'json' or " + "'off'", value) + return 'off' + return value # type: ignore[return-value] + + +def _print_json(event: Event) -> None: + line = json.dumps({'event': 'kumo.engine', **event.to_dict()}, + allow_nan=False, default=str) + tqdm = sys.modules.get('tqdm') + if tqdm is not None and getattr(tqdm.tqdm, '_instances', None): + # An open progress bar leaves stdout mid-line. + line = '\n' + line + print(line, flush=True) + + +def _finite_floats(metrics: Mapping[str, Any]) -> Dict[str, float]: + result = {} + for key, value in metrics.items(): + try: + number = float(value) + except (TypeError, ValueError): + continue + if math.isfinite(number): + result[key] = number + return result + + +class EventEmitter: + r"""Delivers events to callbacks, best-effort: errors are logged as + warnings, and a callback that raises is not called again.""" + def __init__(self, run_id: str, + callbacks: Sequence[Callable[[Event], None]]) -> None: + self.run_id = run_id + self._callbacks: List[Callable[[Event], None]] = list(callbacks) + if get_progress() == 'json': + self._callbacks.append(_print_json) + + def emit(self, name: EventName, *, trial: Optional[int] = None, + epoch: Optional[int] = None, + metrics: Optional[Mapping[str, float]] = None, + params: Optional[Mapping[str, Any]] = None) -> None: + if not self._callbacks: + return + try: + event = Event(name=name, run_id=self.run_id, time=time.time(), + trial=trial, epoch=epoch, + metrics=_finite_floats(metrics or {}), + params=dict(params or {})) + except Exception: + logger.warning('Could not build progress event %r', name, + exc_info=True) + return + for callback in list(self._callbacks): + try: + callback(event) + except Exception: + logger.warning( + 'Progress callback %r failed; it is disabled for the ' + 'rest of run %s', callback, self.run_id, exc_info=True) + self._callbacks.remove(callback) + + @property + def listening(self) -> bool: + return bool(self._callbacks) + + @property + def core_sink(self) -> Optional[Callable[[Dict[str, Any]], None]]: + r"""Adapter for kumo-core's dict events, or None when nobody listens.""" + if not self._callbacks: + return None + return self._emit_core + + def _emit_core(self, payload: Dict[str, Any]) -> None: + try: + self.emit(**payload) + except Exception: + logger.warning('Could not report progress event %r', payload, + exc_info=True) diff --git a/packages/kumo-engine/kumo/engine/config.py b/packages/kumo-engine/kumo/engine/config.py index fa2f39ed9..ecfd6bd2d 100644 --- a/packages/kumo-engine/kumo/engine/config.py +++ b/packages/kumo-engine/kumo/engine/config.py @@ -21,12 +21,13 @@ """ from pathlib import Path -from typing import Optional, Union +from typing import Literal, Optional, Union def configure( *, scratch_dir: Optional[Union[str, Path]] = None, + progress: Optional[Literal['json', 'off']] = None, ) -> None: r"""Sets process-wide configuration for this package. @@ -39,11 +40,20 @@ def configure( DiskGraph and GNN training read and write it directly, so a remote URI (an `s3://`/`gs://` path, a Snowflake stage) isn't accepted here. `None` leaves the current setting unchanged. + progress: ``'json'`` prints each `Trainer.fit` progress event as + one JSON line on stdout; ``'off'`` prints nothing. Defaults to + the ``KUMO_ENGINE_PROGRESS`` environment variable, else + ``'off'``. `None` leaves the current setting unchanged. Raises: - ValueError: if `scratch_dir` isn't a local filesystem path. + ValueError: if `scratch_dir` isn't a local filesystem path, or + `progress` isn't ``'json'`` or ``'off'``. """ if scratch_dir is not None: from kumo.engine._scratch import set_scratch_dir set_scratch_dir(scratch_dir) + if progress is not None: + from kumo.engine._events import set_progress + + set_progress(progress) diff --git a/packages/kumo-engine/kumo/engine/trainer/_runtime.py b/packages/kumo-engine/kumo/engine/trainer/_runtime.py index 15d372e10..d13005e73 100644 --- a/packages/kumo-engine/kumo/engine/trainer/_runtime.py +++ b/packages/kumo-engine/kumo/engine/trainer/_runtime.py @@ -10,8 +10,9 @@ def local_training_bindings(training_input: Any, run_name: Optional[str] = None, - embedding_models: Any = None) -> Any: + embedding_models: Any = None, + on_event: Any = None) -> Any: from kumo_core.training.runtime import local_training_bindings as bind return bind(training_input, run_name=run_name, - embedding_models=embedding_models) + embedding_models=embedding_models, on_event=on_event) diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index 4e5feff56..52bbddd3c 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -12,7 +12,7 @@ from dataclasses import dataclass, replace from datetime import datetime, timezone from pathlib import Path -from typing import Any, Dict, Mapping, Optional, cast +from typing import Any, Callable, Dict, Mapping, Optional, Sequence, cast import pandas as pd from kumo_core.embedding_models import EmbeddingModelStore @@ -42,6 +42,7 @@ require_embedding_models, require_trained_embedding_models, ) +from kumo.engine._events import Event, EventEmitter from kumo.engine._manifest import BundleProvenance from kumo.engine._scratch import new_run_id, trainer_scratch_dir from kumo.engine.connector.base import Connector @@ -199,6 +200,20 @@ def _published_holdout(trainer: Any) -> tuple[Optional[Path], Optional[bool]]: return _find_holdout(trainer.get_log_dir(fit_mode=published)) +def _fit_started_params(train_table: TrainingTable, + snapshot: GraphSnapshot) -> Dict[str, str]: + try: + return { + 'snapshot_id': snapshot.id, + 'query_sha256': hashlib.sha256( + train_table.query.encode()).hexdigest(), + } + except Exception: + logger.warning('Could not describe fit for progress events', + exc_info=True) + return {} + + def _collect_garbage(stage: str) -> None: # Lightning links each trainer to its data module and model in reference # cycles; free a finished run now rather than at a later collection. @@ -289,6 +304,7 @@ def fit( snapshot: GraphSnapshot, export_config: Optional[ModelOutputConfig] = None, warm_start: Optional[Self] = None, + callbacks: Sequence[Callable[[Event], None]] = (), ) -> TrainingResult: r"""Train a model against `train_table`. @@ -314,7 +330,50 @@ def fit( state, fitted encoders, architecture and neighbor sampling; this trainer's training controls still apply. Task types must match. Forecasting warm starts are unsupported. + callbacks: called with each progress `Event`, in order: + ``fit_started``, then per trial ``trial_started``, + ``epoch_ended`` per epoch and ``trial_ended``, then + ``fit_ended``. A callback that raises is logged and not + called again; it never fails the fit. """ + if export_config is not None and not callable( + getattr(export_config.connector.sink_backend, 'publish_model', + None)): + raise NotImplementedError( + f'{type(export_config.connector).__name__} cannot publish ' + f'models') + run_id = f'{self._id}-fit-{new_run_id()}' + events = EventEmitter(run_id, callbacks) + fit_start = time.monotonic() + if events.listening: + events.emit('fit_started', + params=_fit_started_params(train_table, snapshot)) + try: + result = self._fit(train_table, snapshot=snapshot, + export_config=export_config, + warm_start=warm_start, run_id=run_id, + events=events) + except BaseException as error: + events.emit('fit_ended', params={ + 'status': 'failed', + 'error': type(error).__name__, + }) + raise + events.emit('fit_ended', metrics={ + **result.metrics, 'seconds': time.monotonic() - fit_start + }, params={'status': 'succeeded'}) + return result + + def _fit( + self, + train_table: TrainingTable, + *, + snapshot: GraphSnapshot, + export_config: Optional[ModelOutputConfig], + warm_start: Optional[Self], + run_id: str, + events: EventEmitter, + ) -> TrainingResult: from kumo_core.automl.runtime import ( inherit_warm_start_model_plan, validate_warm_start_task_type, @@ -336,14 +395,7 @@ def fit( from kumo.engine.trainer._runtime import local_training_bindings - if export_config is not None and not callable( - getattr(export_config.connector.sink_backend, 'publish_model', - None)): - raise NotImplementedError( - f'{type(export_config.connector).__name__} cannot publish ' - f'models') started_at = datetime.now(timezone.utc) - run_id = f'{self._id}-fit-{new_run_id()}' run_dir = self.scratch_dir / 'runs' / run_id model_plan = _to_core_model_plan(self._model_plan) @@ -461,7 +513,8 @@ def fit( training_input, bindings=local_training_bindings( training_input, run_name=run_id, - embedding_models=self._embedding_models), + embedding_models=self._embedding_models, + on_event=events.core_sink), options=CallableTrainingOptions(), ) diff --git a/packages/kumo-engine/test/test_fit_events.py b/packages/kumo-engine/test/test_fit_events.py new file mode 100644 index 000000000..fcfc5ba74 --- /dev/null +++ b/packages/kumo-engine/test/test_fit_events.py @@ -0,0 +1,158 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. +# All rights reserved. +# SPDX-License-Identifier: Apache-2.0 + +import json + +import numpy as np +import pandas as pd +import pytest +from kumoapi.model_plan import ModelPlan + +import kumo.engine as kumo +from kumo.engine._scratch import get_scratch_dir + + +@pytest.fixture +def table_and_snapshot(tmp_path, monkeypatch): + monkeypatch.setattr('kumo.engine._events._progress', None) + previous_scratch = get_scratch_dir() + kumo.configure(scratch_dir=tmp_path / 'scratch') + try: + rng = np.random.default_rng(0) + (tmp_path / 'data').mkdir() + pd.DataFrame({ + 'ID': np.arange(400), + 'Y': rng.random(400), + 'F1': rng.normal(size=400), + }).to_parquet(tmp_path / 'data' / 'ents.parquet') + connector = kumo.FileConnector(root_dir=str(tmp_path / 'data')) + ents = kumo.Table.from_source_table(connector['ents.parquet'], + primary_key='ID').infer_metadata() + graph = kumo.Graph(tables={'ents': ents}, edges=[]) + snapshot = graph.snapshot() + query = kumo.PredictiveQuery(graph=graph, + query='PREDICT ents.Y FOR EACH ents.ID') + yield query.generate_training_table(snapshot), snapshot + finally: + kumo.configure(scratch_dir=previous_scratch) + + +def _bundle_files(result): + return sorted( + str(path.relative_to(result.bundle_dir)) + for path in result.bundle_dir.rglob('*')) + + +def test_fit_reports_progress_events(table_and_snapshot, capsys, caplog, + monkeypatch): + import kumo.engine.trainer._runtime as runtime_module + + table, snapshot = table_and_snapshot + plan = ModelPlan() + plan.training_job.num_experiments = 2 + plan.training_job.disable_explain = True + plan.optimization.max_epochs = 2 + plan.optimization.max_steps_per_epoch = 2 + bind = runtime_module.local_training_bindings + sinks = [] + + def spy(*args, on_event=None, **kwargs): + sinks.append(on_event) + return bind(*args, on_event=on_event, **kwargs) + + monkeypatch.setattr(runtime_module, 'local_training_bindings', spy) + monkeypatch.delenv('KUMO_ENGINE_PROGRESS', raising=False) + kumo.configure(progress='off') + baseline = kumo.Trainer(plan).fit(table, snapshot=snapshot) + + assert sinks == [None] + assert '"event": "kumo.engine"' not in capsys.readouterr().out + + events = [] + broken_calls = [] + + def broken(event): + broken_calls.append(event) + raise RuntimeError('callback bug') + + kumo.configure(progress='json') + result = kumo.Trainer(plan).fit(table, snapshot=snapshot, + callbacks=[broken, events.append]) + + assert len(broken_calls) == 1 + assert 'callback bug' in caplog.text + names = [event.name for event in events] + assert names == [ + 'fit_started', + 'trial_started', 'epoch_ended', 'epoch_ended', 'trial_ended', + 'trial_started', 'epoch_ended', 'epoch_ended', 'trial_ended', + 'fit_ended', + ] + assert len({event.run_id for event in events}) == 1 + assert [event.time for event in events] == sorted( + event.time for event in events) + assert set(events[0].params) == {'snapshot_id', 'query_sha256'} + assert [(e.trial, e.epoch) for e in events if e.name == 'epoch_ended' + ] == [(1, 1), (1, 2), (2, 1), (2, 2)] + for event in events: + if event.name == 'epoch_ended': + assert any(name.startswith('val_') for name in event.metrics) + assert any(name.startswith('train_') for name in event.metrics) + if event.name == 'trial_started': + assert event.params['attempt'] == 1 + if event.name == 'trial_ended': + assert event.params == {'status': 'succeeded', 'attempt': 1} + assert {'val_mae', 'seconds'} <= set(event.metrics) + assert events[-1].metrics == {**result.metrics, + 'seconds': events[-1].metrics['seconds']} + assert set(result.metrics) == set(baseline.metrics) + assert _bundle_files(result) == _bundle_files(baseline) + assert events[-1].params == {'status': 'succeeded'} + + lines = [json.loads(line) for line in capsys.readouterr().out.splitlines() + if line.startswith('{"event": "kumo.engine"')] + assert lines == [{'event': 'kumo.engine', **event.to_dict()} + for event in events] + + +def test_failed_fit_reports_fit_ended(table_and_snapshot, monkeypatch): + import kumo.engine.trainer.trainer as trainer_module + + def fail(*args, **kwargs): + raise ValueError('stop') + + monkeypatch.setattr(trainer_module, 'build_generated_training_task_dataset', + fail) + table, snapshot = table_and_snapshot + events = [] + + with pytest.raises(ValueError, match='stop'): + kumo.Trainer(ModelPlan()).fit(table, snapshot=snapshot, + callbacks=[events.append]) + + assert [event.name for event in events] == ['fit_started', 'fit_ended'] + assert events[-1].params == {'status': 'failed', 'error': 'ValueError'} + + +def test_event_errors_are_logged_not_raised(caplog): + from kumo_core.automl.auto_trainer import AutoTrainer + + from kumo.engine._events import EventEmitter + + received = [] + emitter = EventEmitter('run', [received.append]) + emitter.emit('epoch_ended', metrics={'val_loss': 'n/a', 'val_mae': 0.5}) + emitter.emit('epoch_ended', params=5) + emitter.core_sink({'name': 'epoch_ended', 'unknown': 1}) + auto_trainer = AutoTrainer.__new__(AutoTrainer) + auto_trainer.on_event = emitter.core_sink + auto_trainer._emit('trial_started', lambda: 1 / 0) + + assert [event.metrics for event in received] == [{'val_mae': 0.5}] + assert [record.getMessage() for record in caplog.records] == [ + "Could not build progress event 'epoch_ended'", + "Could not report progress event {'name': 'epoch_ended', " + "'unknown': 1}", + "Could not report progress event 'trial_started'", + ] From 4c09c570bb48bdc5b20784a2f54a2fda95797e2c Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Tue, 20 Oct 2026 23:11:27 +0000 Subject: [PATCH 074/123] Bind the trial error name before the progress-event closure flake8 F821 flagged the trial_ended event closure for reading the except variable, which Python unbinds when the handler exits. Capture the error name first. Verified with make check-kumo-core. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-core/src/kumo_core/automl/auto_trainer.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/packages/kumo-core/src/kumo_core/automl/auto_trainer.py b/packages/kumo-core/src/kumo_core/automl/auto_trainer.py index 55b983453..0a87e7088 100644 --- a/packages/kumo-core/src/kumo_core/automl/auto_trainer.py +++ b/packages/kumo-core/src/kumo_core/automl/auto_trainer.py @@ -939,12 +939,13 @@ def _run( break except RuntimeError as e: + error = type(e).__name__ self._emit('trial_ended', lambda: { 'trial': i + 1, 'params': { 'status': 'failed', 'attempt': j + 1, - 'error': type(e).__name__, + 'error': error, }, }) stacktrace = ''.join( From bcc750306eb1386e4aee890d24cd382f5d06daa9 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 08:08:30 +0000 Subject: [PATCH 075/123] Drop the library JSON progress option; callbacks cover it Problem: fit progress could be printed as JSON lines through configure(progress=...) or KUMO_ENGINE_PROGRESS, a second way to do what fit(callbacks=) already does, with its own env validation and stdout handling. Change: remove the progress option, the environment variable and the built-in printer. Event, Event.to_dict and fit(callbacks=) stay; the README shows a one-line JSON-lines callback. Verification: test_fit_events.py. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/README.md | 14 ++++++++ packages/kumo-engine/kumo/engine/_events.py | 37 -------------------- packages/kumo-engine/kumo/engine/config.py | 14 ++------ packages/kumo-engine/test/test_fit_events.py | 16 +++------ 4 files changed, 20 insertions(+), 61 deletions(-) diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index f67d39175..b226450e6 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -184,6 +184,20 @@ print(prediction_result.files) # selected Parquet files predictions = prediction_result.frame # collect them into a pandas DataFrame ``` +### Progress events + +`fit(callbacks=[...])` calls each callback with every progress `Event`: +`fit_started`, then per search trial `trial_started`, `epoch_ended` and +`trial_ended`, then `fit_ended`. A callback that raises is logged and not called +again; it never fails the fit. For JSON lines on stdout: + +```python +import json + +trainer.fit(training_table, snapshot=snapshot, + callbacks=[lambda e: print(json.dumps(e.to_dict()))]) +``` + ### Holdout predictions `fit_result.holdout_df()` reads test predictions from `holdout_path` into a pandas diff --git a/packages/kumo-engine/kumo/engine/_events.py b/packages/kumo-engine/kumo/engine/_events.py index 84eee6c1b..da9cd050c 100644 --- a/packages/kumo-engine/kumo/engine/_events.py +++ b/packages/kumo-engine/kumo/engine/_events.py @@ -3,11 +3,8 @@ # SPDX-License-Identifier: Apache-2.0 r"""Progress events reported by `Trainer.fit`.""" -import json import logging import math -import os -import sys import time from dataclasses import dataclass, field from typing import ( @@ -25,7 +22,6 @@ EventName = Literal['fit_started', 'trial_started', 'epoch_ended', 'trial_ended', 'fit_ended'] -Progress = Literal['json', 'off'] @dataclass(frozen=True) @@ -52,37 +48,6 @@ def to_dict(self) -> Dict[str, Any]: } -_progress: Optional[Progress] = None - - -def set_progress(progress: Progress) -> None: - global _progress - if progress not in ('json', 'off'): - raise ValueError(f"progress must be 'json' or 'off', got {progress!r}") - _progress = progress - - -def get_progress() -> Progress: - if _progress is not None: - return _progress - value = os.environ.get('KUMO_ENGINE_PROGRESS', 'off') - if value not in ('json', 'off'): - logger.warning("Ignoring KUMO_ENGINE_PROGRESS=%r; expected 'json' or " - "'off'", value) - return 'off' - return value # type: ignore[return-value] - - -def _print_json(event: Event) -> None: - line = json.dumps({'event': 'kumo.engine', **event.to_dict()}, - allow_nan=False, default=str) - tqdm = sys.modules.get('tqdm') - if tqdm is not None and getattr(tqdm.tqdm, '_instances', None): - # An open progress bar leaves stdout mid-line. - line = '\n' + line - print(line, flush=True) - - def _finite_floats(metrics: Mapping[str, Any]) -> Dict[str, float]: result = {} for key, value in metrics.items(): @@ -102,8 +67,6 @@ def __init__(self, run_id: str, callbacks: Sequence[Callable[[Event], None]]) -> None: self.run_id = run_id self._callbacks: List[Callable[[Event], None]] = list(callbacks) - if get_progress() == 'json': - self._callbacks.append(_print_json) def emit(self, name: EventName, *, trial: Optional[int] = None, epoch: Optional[int] = None, diff --git a/packages/kumo-engine/kumo/engine/config.py b/packages/kumo-engine/kumo/engine/config.py index ecfd6bd2d..fa2f39ed9 100644 --- a/packages/kumo-engine/kumo/engine/config.py +++ b/packages/kumo-engine/kumo/engine/config.py @@ -21,13 +21,12 @@ """ from pathlib import Path -from typing import Literal, Optional, Union +from typing import Optional, Union def configure( *, scratch_dir: Optional[Union[str, Path]] = None, - progress: Optional[Literal['json', 'off']] = None, ) -> None: r"""Sets process-wide configuration for this package. @@ -40,20 +39,11 @@ def configure( DiskGraph and GNN training read and write it directly, so a remote URI (an `s3://`/`gs://` path, a Snowflake stage) isn't accepted here. `None` leaves the current setting unchanged. - progress: ``'json'`` prints each `Trainer.fit` progress event as - one JSON line on stdout; ``'off'`` prints nothing. Defaults to - the ``KUMO_ENGINE_PROGRESS`` environment variable, else - ``'off'``. `None` leaves the current setting unchanged. Raises: - ValueError: if `scratch_dir` isn't a local filesystem path, or - `progress` isn't ``'json'`` or ``'off'``. + ValueError: if `scratch_dir` isn't a local filesystem path. """ if scratch_dir is not None: from kumo.engine._scratch import set_scratch_dir set_scratch_dir(scratch_dir) - if progress is not None: - from kumo.engine._events import set_progress - - set_progress(progress) diff --git a/packages/kumo-engine/test/test_fit_events.py b/packages/kumo-engine/test/test_fit_events.py index fcfc5ba74..c8135ef18 100644 --- a/packages/kumo-engine/test/test_fit_events.py +++ b/packages/kumo-engine/test/test_fit_events.py @@ -14,8 +14,7 @@ @pytest.fixture -def table_and_snapshot(tmp_path, monkeypatch): - monkeypatch.setattr('kumo.engine._events._progress', None) +def table_and_snapshot(tmp_path): previous_scratch = get_scratch_dir() kumo.configure(scratch_dir=tmp_path / 'scratch') try: @@ -44,7 +43,7 @@ def _bundle_files(result): for path in result.bundle_dir.rglob('*')) -def test_fit_reports_progress_events(table_and_snapshot, capsys, caplog, +def test_fit_reports_progress_events(table_and_snapshot, caplog, monkeypatch): import kumo.engine.trainer._runtime as runtime_module @@ -62,12 +61,9 @@ def spy(*args, on_event=None, **kwargs): return bind(*args, on_event=on_event, **kwargs) monkeypatch.setattr(runtime_module, 'local_training_bindings', spy) - monkeypatch.delenv('KUMO_ENGINE_PROGRESS', raising=False) - kumo.configure(progress='off') baseline = kumo.Trainer(plan).fit(table, snapshot=snapshot) assert sinks == [None] - assert '"event": "kumo.engine"' not in capsys.readouterr().out events = [] broken_calls = [] @@ -76,7 +72,6 @@ def broken(event): broken_calls.append(event) raise RuntimeError('callback bug') - kumo.configure(progress='json') result = kumo.Trainer(plan).fit(table, snapshot=snapshot, callbacks=[broken, events.append]) @@ -109,11 +104,8 @@ def broken(event): assert set(result.metrics) == set(baseline.metrics) assert _bundle_files(result) == _bundle_files(baseline) assert events[-1].params == {'status': 'succeeded'} - - lines = [json.loads(line) for line in capsys.readouterr().out.splitlines() - if line.startswith('{"event": "kumo.engine"')] - assert lines == [{'event': 'kumo.engine', **event.to_dict()} - for event in events] + assert [json.loads(json.dumps(event.to_dict()))['name'] + for event in events] == names def test_failed_fit_reports_fit_ended(table_and_snapshot, monkeypatch): From 936f2895a6caea59937d9dc037e1c312edd3a941 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 08:09:44 +0000 Subject: [PATCH 076/123] Report trial_ended only once the trial is recorded as succeeded Problem: the succeeded trial_ended event was emitted before the searcher update and the status save. If either raised, the attempt was handled as failed and a second trial_ended (failed) followed for the same attempt. Change: emit the succeeded trial_ended after searcher.update and status.save return; its seconds still measure training only. Verification: test_fit_events.py, including a fit whose searcher update raises (one failed trial_ended, no succeeded one). Co-Authored-By: Claude Opus 5.5 --- .../src/kumo_core/automl/auto_trainer.py | 23 +++++++++--------- packages/kumo-engine/test/test_fit_events.py | 24 +++++++++++++++++++ 2 files changed, 36 insertions(+), 11 deletions(-) diff --git a/packages/kumo-core/src/kumo_core/automl/auto_trainer.py b/packages/kumo-core/src/kumo_core/automl/auto_trainer.py index 0a87e7088..702f33c00 100644 --- a/packages/kumo-core/src/kumo_core/automl/auto_trainer.py +++ b/packages/kumo-core/src/kumo_core/automl/auto_trainer.py @@ -909,18 +909,8 @@ def _run( status=status, trial=i + 1, ) + trial_seconds = time.monotonic() - trial_start best_performance = _eval_fn[tune_mode](val_performance) - self._emit('trial_ended', lambda: { - 'trial': i + 1, - 'metrics': { - self.val_tune_metric: float(best_performance), - 'seconds': time.monotonic() - trial_start, - }, - 'params': { - 'status': 'succeeded', - 'attempt': j + 1, - }, - }) logger.info(f"AutoML experiment " f"{i + 1}/{self.num_experiments} finished " f"with validation performance: " @@ -936,6 +926,17 @@ def _run( "auto_trainer.run.status_save_success", trial=i + 1): status.save(self.home_dir) + self._emit('trial_ended', lambda: { + 'trial': i + 1, + 'metrics': { + self.val_tune_metric: float(best_performance), + 'seconds': trial_seconds, + }, + 'params': { + 'status': 'succeeded', + 'attempt': j + 1, + }, + }) break except RuntimeError as e: diff --git a/packages/kumo-engine/test/test_fit_events.py b/packages/kumo-engine/test/test_fit_events.py index c8135ef18..bfec20156 100644 --- a/packages/kumo-engine/test/test_fit_events.py +++ b/packages/kumo-engine/test/test_fit_events.py @@ -127,6 +127,30 @@ def fail(*args, **kwargs): assert events[-1].params == {'status': 'failed', 'error': 'ValueError'} +def test_trial_failing_after_training_ends_once(table_and_snapshot, + monkeypatch): + from kumo_core.automl.optuna_searcher import TPESearcher + + def fail(*args, **kwargs): + raise RuntimeError('searcher down') + + monkeypatch.setattr(TPESearcher, 'update', fail) + table, snapshot = table_and_snapshot + plan = ModelPlan() + plan.training_job.num_experiments = 1 + plan.training_job.disable_explain = True + plan.optimization.max_epochs = 1 + plan.optimization.max_steps_per_epoch = 2 + events = [] + + with pytest.raises(RuntimeError): + kumo.Trainer(plan).fit(table, snapshot=snapshot, + callbacks=[events.append]) + + ended = [event for event in events if event.name == 'trial_ended'] + assert [event.params['status'] for event in ended] == ['failed'] + + def test_event_errors_are_logged_not_raised(caplog): from kumo_core.automl.auto_trainer import AutoTrainer From eebc54a856071bc6f97dc4d0e29dc6748f0d7d29 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 08:10:50 +0000 Subject: [PATCH 077/123] Carry the error type and a short message on failure events Problem: failed trial_ended and fit_ended events named only the exception type, so a tracker or callback could not say why a trial or fit failed without the logs. Change: params['error'] is now ": ", cut to 200 characters, in both events. Documented on fit(callbacks=) and in the README. Verification: test_fit_events.py. Co-Authored-By: Claude Opus 5.5 --- .../kumo-core/src/kumo_core/automl/auto_trainer.py | 2 +- packages/kumo-engine/README.md | 5 +++-- packages/kumo-engine/kumo/engine/trainer/trainer.py | 8 +++++--- packages/kumo-engine/test/test_fit_events.py | 11 +++++++++-- 4 files changed, 18 insertions(+), 8 deletions(-) diff --git a/packages/kumo-core/src/kumo_core/automl/auto_trainer.py b/packages/kumo-core/src/kumo_core/automl/auto_trainer.py index 702f33c00..6db145be5 100644 --- a/packages/kumo-core/src/kumo_core/automl/auto_trainer.py +++ b/packages/kumo-core/src/kumo_core/automl/auto_trainer.py @@ -940,7 +940,7 @@ def _run( break except RuntimeError as e: - error = type(e).__name__ + error = f'{type(e).__name__}: {e}'[:200] self._emit('trial_ended', lambda: { 'trial': i + 1, 'params': { diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index b226450e6..d4fc08abe 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -188,8 +188,9 @@ predictions = prediction_result.frame # collect them into a pandas DataFrame `fit(callbacks=[...])` calls each callback with every progress `Event`: `fit_started`, then per search trial `trial_started`, `epoch_ended` and -`trial_ended`, then `fit_ended`. A callback that raises is logged and not called -again; it never fails the fit. For JSON lines on stdout: +`trial_ended`, then `fit_ended`. Ended events carry `params["status"]` and, on +failure, a short `params["error"]`. A callback that raises is logged and not +called again; it never fails the fit. For JSON lines on stdout: ```python import json diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index 52bbddd3c..c1a2359c6 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -333,8 +333,10 @@ def fit( callbacks: called with each progress `Event`, in order: ``fit_started``, then per trial ``trial_started``, ``epoch_ended`` per epoch and ``trial_ended``, then - ``fit_ended``. A callback that raises is logged and not - called again; it never fails the fit. + ``fit_ended``. Ended events carry ``params['status']`` and, + on failure, ``params['error']`` (error type and message, at + most 200 characters). A callback that raises is logged and + not called again; it never fails the fit. """ if export_config is not None and not callable( getattr(export_config.connector.sink_backend, 'publish_model', @@ -356,7 +358,7 @@ def fit( except BaseException as error: events.emit('fit_ended', params={ 'status': 'failed', - 'error': type(error).__name__, + 'error': f'{type(error).__name__}: {error}'[:200], }) raise events.emit('fit_ended', metrics={ diff --git a/packages/kumo-engine/test/test_fit_events.py b/packages/kumo-engine/test/test_fit_events.py index bfec20156..5e3aae4c6 100644 --- a/packages/kumo-engine/test/test_fit_events.py +++ b/packages/kumo-engine/test/test_fit_events.py @@ -124,7 +124,10 @@ def fail(*args, **kwargs): callbacks=[events.append]) assert [event.name for event in events] == ['fit_started', 'fit_ended'] - assert events[-1].params == {'status': 'failed', 'error': 'ValueError'} + assert events[-1].params == { + 'status': 'failed', + 'error': 'ValueError: stop' + } def test_trial_failing_after_training_ends_once(table_and_snapshot, @@ -148,7 +151,11 @@ def fail(*args, **kwargs): callbacks=[events.append]) ended = [event for event in events if event.name == 'trial_ended'] - assert [event.params['status'] for event in ended] == ['failed'] + assert [event.params for event in ended] == [{ + 'status': 'failed', + 'attempt': 1, + 'error': 'RuntimeError: searcher down' + }] def test_event_errors_are_logged_not_raised(caplog): From 4e7502bc2906ba12e19b55630dde4d31585e87b7 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 08:26:29 +0000 Subject: [PATCH 078/123] Trim internal docstrings and implementation-detail test checks Problem: internal helpers carried docstrings restating the code, and the fit-events tests spied on the training bindings and pinned exact warning texts, both internal details. Change: drop the EventEmitter, core_sink and EpochEventEmitter docstrings, the bindings spy and the exact-message assertion (the warning count stays). Verification: test_fit_events.py (4 passed), test_searched_params.py. Co-Authored-By: Claude Opus 5.5 --- .../callbacks/train_progress_logger.py | 2 -- packages/kumo-engine/kumo/engine/_events.py | 3 --- packages/kumo-engine/test/test_fit_events.py | 22 ++----------------- 3 files changed, 2 insertions(+), 25 deletions(-) diff --git a/packages/kumo-core/src/kumo_core/callbacks/train_progress_logger.py b/packages/kumo-core/src/kumo_core/callbacks/train_progress_logger.py index c967df680..7e95b612a 100644 --- a/packages/kumo-core/src/kumo_core/callbacks/train_progress_logger.py +++ b/packages/kumo-core/src/kumo_core/callbacks/train_progress_logger.py @@ -190,8 +190,6 @@ def on_validation_end(self, pl_trainer, pl_module): class EpochEventEmitter(MonitoringCallback): - r"""Reports each finished training epoch's metrics to ``on_event``, - best-effort.""" def __init__(self, on_event: Callable[[dict[str, Any]], None], trial: int): super().__init__() diff --git a/packages/kumo-engine/kumo/engine/_events.py b/packages/kumo-engine/kumo/engine/_events.py index da9cd050c..4af318ba7 100644 --- a/packages/kumo-engine/kumo/engine/_events.py +++ b/packages/kumo-engine/kumo/engine/_events.py @@ -61,8 +61,6 @@ def _finite_floats(metrics: Mapping[str, Any]) -> Dict[str, float]: class EventEmitter: - r"""Delivers events to callbacks, best-effort: errors are logged as - warnings, and a callback that raises is not called again.""" def __init__(self, run_id: str, callbacks: Sequence[Callable[[Event], None]]) -> None: self.run_id = run_id @@ -98,7 +96,6 @@ def listening(self) -> bool: @property def core_sink(self) -> Optional[Callable[[Dict[str, Any]], None]]: - r"""Adapter for kumo-core's dict events, or None when nobody listens.""" if not self._callbacks: return None return self._emit_core diff --git a/packages/kumo-engine/test/test_fit_events.py b/packages/kumo-engine/test/test_fit_events.py index 5e3aae4c6..82d31880f 100644 --- a/packages/kumo-engine/test/test_fit_events.py +++ b/packages/kumo-engine/test/test_fit_events.py @@ -43,28 +43,15 @@ def _bundle_files(result): for path in result.bundle_dir.rglob('*')) -def test_fit_reports_progress_events(table_and_snapshot, caplog, - monkeypatch): - import kumo.engine.trainer._runtime as runtime_module - +def test_fit_reports_progress_events(table_and_snapshot, caplog): table, snapshot = table_and_snapshot plan = ModelPlan() plan.training_job.num_experiments = 2 plan.training_job.disable_explain = True plan.optimization.max_epochs = 2 plan.optimization.max_steps_per_epoch = 2 - bind = runtime_module.local_training_bindings - sinks = [] - - def spy(*args, on_event=None, **kwargs): - sinks.append(on_event) - return bind(*args, on_event=on_event, **kwargs) - - monkeypatch.setattr(runtime_module, 'local_training_bindings', spy) baseline = kumo.Trainer(plan).fit(table, snapshot=snapshot) - assert sinks == [None] - events = [] broken_calls = [] @@ -173,9 +160,4 @@ def test_event_errors_are_logged_not_raised(caplog): auto_trainer._emit('trial_started', lambda: 1 / 0) assert [event.metrics for event in received] == [{'val_mae': 0.5}] - assert [record.getMessage() for record in caplog.records] == [ - "Could not build progress event 'epoch_ended'", - "Could not report progress event {'name': 'epoch_ended', " - "'unknown': 1}", - "Could not report progress event 'trial_started'", - ] + assert len(caplog.records) == 3 From c1b3e243004d447291ddff9c4deefc9f4eb30ffd Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 09:32:22 +0000 Subject: [PATCH 079/123] Trim fit progress events to essentials The event emitter carried try/except branches for states its callers already guard, a listening flag and a helper used once, and the tests ran three real fits. Drop the redundant guards, build to_dict with asdict, fold the failing trial into the single real-fit test and test metric filtering directly. Verified: test_fit_events.py 3 passed; flake8/isort clean. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/kumo/engine/_events.py | 53 ++--------- .../kumo/engine/trainer/trainer.py | 31 ++----- packages/kumo-engine/test/test_fit_events.py | 88 ++++++------------- 3 files changed, 43 insertions(+), 129 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/_events.py b/packages/kumo-engine/kumo/engine/_events.py index 4af318ba7..fba1dbb35 100644 --- a/packages/kumo-engine/kumo/engine/_events.py +++ b/packages/kumo-engine/kumo/engine/_events.py @@ -6,17 +6,8 @@ import logging import math import time -from dataclasses import dataclass, field -from typing import ( - Any, - Callable, - Dict, - List, - Literal, - Mapping, - Optional, - Sequence, -) +from dataclasses import asdict, dataclass, field +from typing import Any, Callable, Dict, Literal, Mapping, Optional, Sequence logger = logging.getLogger(__name__) @@ -37,15 +28,7 @@ class Event: params: Mapping[str, Any] = field(default_factory=dict) def to_dict(self) -> Dict[str, Any]: - return { - 'name': self.name, - 'run_id': self.run_id, - 'time': self.time, - 'trial': self.trial, - 'epoch': self.epoch, - 'metrics': dict(self.metrics), - 'params': dict(self.params), - } + return asdict(self) def _finite_floats(metrics: Mapping[str, Any]) -> Dict[str, float]: @@ -64,23 +47,16 @@ class EventEmitter: def __init__(self, run_id: str, callbacks: Sequence[Callable[[Event], None]]) -> None: self.run_id = run_id - self._callbacks: List[Callable[[Event], None]] = list(callbacks) + self._callbacks = list(callbacks) def emit(self, name: EventName, *, trial: Optional[int] = None, epoch: Optional[int] = None, metrics: Optional[Mapping[str, float]] = None, params: Optional[Mapping[str, Any]] = None) -> None: - if not self._callbacks: - return - try: - event = Event(name=name, run_id=self.run_id, time=time.time(), - trial=trial, epoch=epoch, - metrics=_finite_floats(metrics or {}), - params=dict(params or {})) - except Exception: - logger.warning('Could not build progress event %r', name, - exc_info=True) - return + event = Event(name=name, run_id=self.run_id, time=time.time(), + trial=trial, epoch=epoch, + metrics=_finite_floats(metrics or {}), + params=dict(params or {})) for callback in list(self._callbacks): try: callback(event) @@ -90,19 +66,8 @@ def emit(self, name: EventName, *, trial: Optional[int] = None, 'rest of run %s', callback, self.run_id, exc_info=True) self._callbacks.remove(callback) - @property - def listening(self) -> bool: - return bool(self._callbacks) - @property def core_sink(self) -> Optional[Callable[[Dict[str, Any]], None]]: if not self._callbacks: return None - return self._emit_core - - def _emit_core(self, payload: Dict[str, Any]) -> None: - try: - self.emit(**payload) - except Exception: - logger.warning('Could not report progress event %r', payload, - exc_info=True) + return lambda payload: self.emit(**payload) diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index c1a2359c6..a3db15799 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -200,20 +200,6 @@ def _published_holdout(trainer: Any) -> tuple[Optional[Path], Optional[bool]]: return _find_holdout(trainer.get_log_dir(fit_mode=published)) -def _fit_started_params(train_table: TrainingTable, - snapshot: GraphSnapshot) -> Dict[str, str]: - try: - return { - 'snapshot_id': snapshot.id, - 'query_sha256': hashlib.sha256( - train_table.query.encode()).hexdigest(), - } - except Exception: - logger.warning('Could not describe fit for progress events', - exc_info=True) - return {} - - def _collect_garbage(stage: str) -> None: # Lightning links each trainer to its data module and model in reference # cycles; free a finished run now rather than at a later collection. @@ -330,13 +316,8 @@ def fit( state, fitted encoders, architecture and neighbor sampling; this trainer's training controls still apply. Task types must match. Forecasting warm starts are unsupported. - callbacks: called with each progress `Event`, in order: - ``fit_started``, then per trial ``trial_started``, - ``epoch_ended`` per epoch and ``trial_ended``, then - ``fit_ended``. Ended events carry ``params['status']`` and, - on failure, ``params['error']`` (error type and message, at - most 200 characters). A callback that raises is logged and - not called again; it never fails the fit. + callbacks: called with each progress `Event`; a callback that + raises is logged and not called again. """ if export_config is not None and not callable( getattr(export_config.connector.sink_backend, 'publish_model', @@ -347,9 +328,11 @@ def fit( run_id = f'{self._id}-fit-{new_run_id()}' events = EventEmitter(run_id, callbacks) fit_start = time.monotonic() - if events.listening: - events.emit('fit_started', - params=_fit_started_params(train_table, snapshot)) + events.emit('fit_started', params={ + 'snapshot_id': snapshot.id, + 'query_sha256': hashlib.sha256( + train_table.query.encode()).hexdigest(), + }) try: result = self._fit(train_table, snapshot=snapshot, export_config=export_config, diff --git a/packages/kumo-engine/test/test_fit_events.py b/packages/kumo-engine/test/test_fit_events.py index 82d31880f..48a7d9792 100644 --- a/packages/kumo-engine/test/test_fit_events.py +++ b/packages/kumo-engine/test/test_fit_events.py @@ -37,21 +37,26 @@ def table_and_snapshot(tmp_path): kumo.configure(scratch_dir=previous_scratch) -def _bundle_files(result): - return sorted( - str(path.relative_to(result.bundle_dir)) - for path in result.bundle_dir.rglob('*')) +def test_fit_reports_progress_events(table_and_snapshot, monkeypatch, + caplog): + from kumo_core.automl.optuna_searcher import TPESearcher + + update = TPESearcher.update + def fail_second_trial(self, *args, **kwargs): + if self._num_updates: + raise RuntimeError('searcher down') + self._num_updates = 1 + return update(self, *args, **kwargs) -def test_fit_reports_progress_events(table_and_snapshot, caplog): + monkeypatch.setattr(TPESearcher, '_num_updates', 0, raising=False) + monkeypatch.setattr(TPESearcher, 'update', fail_second_trial) table, snapshot = table_and_snapshot plan = ModelPlan() plan.training_job.num_experiments = 2 plan.training_job.disable_explain = True plan.optimization.max_epochs = 2 plan.optimization.max_steps_per_epoch = 2 - baseline = kumo.Trainer(plan).fit(table, snapshot=snapshot) - events = [] broken_calls = [] @@ -72,24 +77,20 @@ def broken(event): 'fit_ended', ] assert len({event.run_id for event in events}) == 1 - assert [event.time for event in events] == sorted( - event.time for event in events) assert set(events[0].params) == {'snapshot_id', 'query_sha256'} assert [(e.trial, e.epoch) for e in events if e.name == 'epoch_ended' ] == [(1, 1), (1, 2), (2, 1), (2, 2)] - for event in events: - if event.name == 'epoch_ended': - assert any(name.startswith('val_') for name in event.metrics) - assert any(name.startswith('train_') for name in event.metrics) - if event.name == 'trial_started': - assert event.params['attempt'] == 1 - if event.name == 'trial_ended': - assert event.params == {'status': 'succeeded', 'attempt': 1} - assert {'val_mae', 'seconds'} <= set(event.metrics) + assert any(name.startswith('val_') for name in events[2].metrics) + assert events[1].params['attempt'] == 1 + assert events[4].params == {'status': 'succeeded', 'attempt': 1} + assert {'val_mae', 'seconds'} <= set(events[4].metrics) + assert events[8].params == { + 'status': 'failed', + 'attempt': 1, + 'error': 'RuntimeError: searcher down' + } assert events[-1].metrics == {**result.metrics, 'seconds': events[-1].metrics['seconds']} - assert set(result.metrics) == set(baseline.metrics) - assert _bundle_files(result) == _bundle_files(baseline) assert events[-1].params == {'status': 'succeeded'} assert [json.loads(json.dumps(event.to_dict()))['name'] for event in events] == names @@ -117,47 +118,12 @@ def fail(*args, **kwargs): } -def test_trial_failing_after_training_ends_once(table_and_snapshot, - monkeypatch): - from kumo_core.automl.optuna_searcher import TPESearcher - - def fail(*args, **kwargs): - raise RuntimeError('searcher down') - - monkeypatch.setattr(TPESearcher, 'update', fail) - table, snapshot = table_and_snapshot - plan = ModelPlan() - plan.training_job.num_experiments = 1 - plan.training_job.disable_explain = True - plan.optimization.max_epochs = 1 - plan.optimization.max_steps_per_epoch = 2 - events = [] - - with pytest.raises(RuntimeError): - kumo.Trainer(plan).fit(table, snapshot=snapshot, - callbacks=[events.append]) - - ended = [event for event in events if event.name == 'trial_ended'] - assert [event.params for event in ended] == [{ - 'status': 'failed', - 'attempt': 1, - 'error': 'RuntimeError: searcher down' - }] - - -def test_event_errors_are_logged_not_raised(caplog): - from kumo_core.automl.auto_trainer import AutoTrainer - +def test_event_metrics_keep_finite_numbers(): from kumo.engine._events import EventEmitter received = [] - emitter = EventEmitter('run', [received.append]) - emitter.emit('epoch_ended', metrics={'val_loss': 'n/a', 'val_mae': 0.5}) - emitter.emit('epoch_ended', params=5) - emitter.core_sink({'name': 'epoch_ended', 'unknown': 1}) - auto_trainer = AutoTrainer.__new__(AutoTrainer) - auto_trainer.on_event = emitter.core_sink - auto_trainer._emit('trial_started', lambda: 1 / 0) - - assert [event.metrics for event in received] == [{'val_mae': 0.5}] - assert len(caplog.records) == 3 + EventEmitter('run', [received.append]).emit( + 'epoch_ended', metrics={'val_loss': 'n/a', 'val_auc': float('nan'), + 'val_mae': 0.5}) + + assert received[0].metrics == {'val_mae': 0.5} From 18e4d3f50ec7bc9d42c8a224f45a56254c6fdded Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 15:55:39 +0000 Subject: [PATCH 080/123] Keep fit_started best-effort when the inputs are malformed Describing the fit for the fit_started event read train_table.query before fit validated its arguments, so an invalid call raised AttributeError instead of the documented ValueError. Building the event params is best-effort again: on failure the event carries no params and fit fails the way it does without events. Verified with test_warm_start.py and test_fit_events.py. Co-Authored-By: Claude Opus 5.5 --- .../kumo-engine/kumo/engine/trainer/trainer.py | 14 +++++++++----- 1 file changed, 9 insertions(+), 5 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index a3db15799..1e28067c6 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -328,11 +328,15 @@ def fit( run_id = f'{self._id}-fit-{new_run_id()}' events = EventEmitter(run_id, callbacks) fit_start = time.monotonic() - events.emit('fit_started', params={ - 'snapshot_id': snapshot.id, - 'query_sha256': hashlib.sha256( - train_table.query.encode()).hexdigest(), - }) + try: + started = { + 'snapshot_id': snapshot.id, + 'query_sha256': hashlib.sha256( + train_table.query.encode()).hexdigest(), + } + except Exception: + started = {} + events.emit('fit_started', params=started) try: result = self._fit(train_table, snapshot=snapshot, export_config=export_config, From 8197f42a8ac01405d65ab52129f0967271dba8aa Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 18:21:56 +0000 Subject: [PATCH 081/123] Reuse the progress logger, searcher and instrumentation for fit events Fit events added a second epoch callback, re-walked the search space to recover sampled values, and threaded a new on_event channel through the training bindings beside the existing instrumentation. AutoTrainingProgressLogger now emits epoch_ended from the epoch it just recorded, Searcher.sample_instance records the values it sampled (the Optuna fallback sampler included), and events go through an additive TrainingInstrumentation.event hook that the engine's EventEmitter implements. One format_error helper builds the short error string, and query_sha256 hashes the query. Verified with test_fit_events, test_searched_params, test_training, test_train_progress_logger and the automl searcher tests. Co-Authored-By: Claude Opus 5.5 --- .../src/kumo_core/automl/auto_trainer.py | 64 ++++++------------- .../src/kumo_core/automl/optuna_searcher.py | 1 + .../src/kumo_core/automl/searcher.py | 35 ++++------ .../callbacks/train_progress_logger.py | 43 +++++-------- .../src/kumo_core/instrumentation.py | 10 +++ .../src/kumo_core/training/orchestration.py | 2 - .../src/kumo_core/training/runtime.py | 16 ++--- .../kumo-core/tests/test_searched_params.py | 31 +++++---- packages/kumo-engine/kumo/engine/_events.py | 27 ++++++-- .../kumo/engine/trainer/_runtime.py | 5 +- .../kumo/engine/trainer/trainer.py | 10 +-- 11 files changed, 112 insertions(+), 132 deletions(-) diff --git a/packages/kumo-core/src/kumo_core/automl/auto_trainer.py b/packages/kumo-core/src/kumo_core/automl/auto_trainer.py index 6db145be5..3abe36170 100644 --- a/packages/kumo-core/src/kumo_core/automl/auto_trainer.py +++ b/packages/kumo-core/src/kumo_core/automl/auto_trainer.py @@ -17,7 +17,7 @@ import warnings from dataclasses import asdict, dataclass, fields, is_dataclass from enum import Enum -from typing import Any, Callable +from typing import Any import pandas as pd import torch @@ -34,15 +34,13 @@ resolve_warm_start, with_na_strategy, ) -from kumo_core.automl.searcher import searched_params from kumo_core.callbacks.stopper import TopKEarlyStopping from kumo_core.embedding_models import require_encoder_models from kumo_core.callbacks.train_progress_logger import ( AutoTrainerProgress, AutoTrainingProgressLogger, - EpochEventEmitter, ) -from kumo_core.instrumentation import TrainingInstrumentation +from kumo_core.instrumentation import TrainingInstrumentation, format_error from kumo_core.io import filesystem from kumo_core.io.json import load_json, save_json from kumo_core.job_config import JobConfig, TrainStatus @@ -212,8 +210,6 @@ class AutoTrainer: home_dir: The home directory used to resolve ``root_dir`` and to load/save :class:`TrainStatus`. If ``None``, the runtime supplies its default. - on_event: Receives ``trial_started``, ``epoch_ended`` and - ``trial_ended`` progress events as plain dicts. """ def __init__( self, @@ -226,7 +222,6 @@ def __init__( checkpoint_path: str | None = None, home_dir: str | None = None, checkpoint_encoder_dir: str | None = None, - on_event: Callable[[dict[str, Any]], None] | None = None, **kwargs: Any, ) -> None: if not isinstance(task, ResolvedNumericalTask): @@ -235,7 +230,6 @@ def __init__( self.task = task self.runtime = runtime self.instrumentation = instrumentation - self.on_event = on_event self.checkpoint_path = checkpoint_path self.checkpoint_encoder_dir = checkpoint_encoder_dir self.max_tries = max_tries @@ -721,12 +715,8 @@ def _train( trainer.pl_trainer.callbacks.append(pruning) # Add progress logging callback: - self.training_progress_logger.set_current_trainer(trainer) + self.training_progress_logger.set_current_trainer(trainer, trial) trainer.pl_trainer.callbacks.append(self.training_progress_logger) - epoch_events = None - if self.on_event is not None and trial is not None: - epoch_events = EpochEventEmitter(self.on_event, trial) - trainer.pl_trainer.callbacks.append(epoch_events) # Save AutoTrainer YAML (Trainer YAML will be saved within # Trainer itself). The AutoTrainer configuration contains relevant @@ -753,8 +743,6 @@ def _train( del self.training_progress_logger.log del self.training_progress_logger.log_dict trainer.pl_trainer.callbacks.remove(self.training_progress_logger) - if epoch_events is not None: - trainer.pl_trainer.callbacks.remove(epoch_events) if pruning is not None: # Prevent keeping old trainer state around. @@ -861,7 +849,7 @@ def _run( logger.info(f"Initialized '{self.searcher}'") self.training_progress_logger = AutoTrainingProgressLogger( - self.log_dir, self.num_experiments) + self.log_dir, self.num_experiments, on_event=self._emit) tune_mode = MetricStore.tune_mode(self.tune_metric) metrics_job_name = self.runtime.metrics_job_name() @@ -886,12 +874,9 @@ def _run( logger.info(f"Starting AutoML experiment " f"{i + 1}/{self.num_experiments}") - self._emit('trial_started', lambda: { - 'trial': i + 1, - 'params': { - **searched_params(self.space, cfg), - 'attempt': j + 1, - }, + self._emit('trial_started', trial=i + 1, params={ + **self.searcher.sampled_params, + 'attempt': j + 1, }) batch_size = cfg.optimization.batch_size[0] with self.instrumentation.timing( @@ -926,28 +911,20 @@ def _run( "auto_trainer.run.status_save_success", trial=i + 1): status.save(self.home_dir) - self._emit('trial_ended', lambda: { - 'trial': i + 1, - 'metrics': { - self.val_tune_metric: float(best_performance), - 'seconds': trial_seconds, - }, - 'params': { - 'status': 'succeeded', - 'attempt': j + 1, - }, + self._emit('trial_ended', trial=i + 1, metrics={ + self.val_tune_metric: best_performance, + 'seconds': trial_seconds, + }, params={ + 'status': 'succeeded', + 'attempt': j + 1, }) break except RuntimeError as e: - error = f'{type(e).__name__}: {e}'[:200] - self._emit('trial_ended', lambda: { - 'trial': i + 1, - 'params': { - 'status': 'failed', - 'attempt': j + 1, - 'error': error, - }, + self._emit('trial_ended', trial=i + 1, params={ + 'status': 'failed', + 'attempt': j + 1, + 'error': format_error(e), }) stacktrace = ''.join( traceback.format_exception(e, e, e.__traceback__)) @@ -1001,11 +978,12 @@ def _run( should_init=init_best_trainer): return self.get_best_trainer(should_init=init_best_trainer) - def _emit(self, name: str, fields: Callable[[], dict[str, Any]]) -> None: - if self.on_event is None: + def _emit(self, name: str, **fields: Any) -> None: + event = getattr(self.instrumentation, 'event', None) + if event is None: return try: - self.on_event({'name': name, **fields()}) + event(name, **fields) except Exception: logger.warning(f"Could not report progress event '{name}'", exc_info=True) diff --git a/packages/kumo-core/src/kumo_core/automl/optuna_searcher.py b/packages/kumo-core/src/kumo_core/automl/optuna_searcher.py index db5a03bda..fad0adb28 100644 --- a/packages/kumo-core/src/kumo_core/automl/optuna_searcher.py +++ b/packages/kumo-core/src/kumo_core/automl/optuna_searcher.py @@ -60,6 +60,7 @@ def suggest(self) -> PlanT: for _ in range(self.fallback_sampler.max_attempts): self.current_trial = self.study.ask() cfg = self.fallback_sampler.sample_instance() + self.sampled_params = self.fallback_sampler.sampled_params if cfg not in [prev_cfg for prev_cfg, _ in self.state]: return cfg return cfg diff --git a/packages/kumo-core/src/kumo_core/automl/searcher.py b/packages/kumo-core/src/kumo_core/automl/searcher.py index 7fa43d707..9116bf389 100644 --- a/packages/kumo-core/src/kumo_core/automl/searcher.py +++ b/packages/kumo-core/src/kumo_core/automl/searcher.py @@ -39,6 +39,7 @@ def __init__(self, space: PlanT, max_attempts: int = 50) -> None: self.space = space self.max_attempts = max_attempts self.state: list[tuple[PlanT, list[float]]] = [] + self.sampled_params: dict[str, Any] = {} @property def tune_metric(self) -> str: @@ -68,6 +69,7 @@ def sample_value(self, key: str, value: list[Any]) -> Any: def sample_instance(self) -> PlanT: instance = copy.deepcopy(self.space) + self.sampled_params = {} for field in fields(instance): section = getattr(instance, field.name) @@ -76,6 +78,7 @@ def sample_instance(self) -> PlanT: continue assert isinstance(value, list) + searched = len(value) > 1 if isinstance(value[0], PlanMixin): index_of_plan = self.sample_value(key, list(range(len(value)))) @@ -85,39 +88,25 @@ def sample_instance(self) -> PlanT: subvalue, MissingType): continue assert isinstance(subvalue, list) + searched = searched or len(subvalue) > 1 unique_key = f"{key}{index_of_plan}_{subkey}" setattr( plan, subkey, [self.sample_value(unique_key, subvalue)], ) - setattr(section, key, [plan]) + chosen = plan else: - setattr(section, key, [self.sample_value(key, value)]) + chosen = self.sample_value(key, value) + setattr(section, key, [chosen]) + if searched: + self.sampled_params[f"{field.name}.{key}"] = ( + chosen if chosen is None + or isinstance(chosen, (bool, int, float, str)) else + str(chosen)) return instance def __repr__(self) -> str: return f"{self.__class__.__name__}()" - -def searched_params(space: SearchPlan, cfg: SearchPlan) -> dict[str, Any]: - """Returns the values ``cfg`` took for fields ``space`` searches over.""" - def is_searched(value: Any, metadata: Any) -> bool: - if not metadata.tunable or isinstance(value, MissingType): - return False - return len(value) > 1 or any( - is_searched(subvalue, submetadata) for plan in value - if isinstance(plan, PlanMixin) - for _, subvalue, submetadata in plan.items()) - - params: dict[str, Any] = {} - for field in fields(space): - for key, value, metadata in getattr(space, field.name).items(): - if is_searched(value, metadata): - chosen = getattr(getattr(cfg, field.name), key)[0] - params[f"{field.name}.{key}"] = ( - chosen if chosen is None - or isinstance(chosen, (bool, int, float, str)) else - str(chosen)) - return params diff --git a/packages/kumo-core/src/kumo_core/callbacks/train_progress_logger.py b/packages/kumo-core/src/kumo_core/callbacks/train_progress_logger.py index 7e95b612a..f727091f3 100644 --- a/packages/kumo-core/src/kumo_core/callbacks/train_progress_logger.py +++ b/packages/kumo-core/src/kumo_core/callbacks/train_progress_logger.py @@ -140,17 +140,22 @@ class AutoTrainingProgressLogger(MonitoringCallback): # pragma: no cover # Constant to account for overhead not captured in trial estimation: OVERHEAD_CONSTANT = 1.30 - def __init__(self, log_dir: str, num_experiments: int): + def __init__(self, log_dir: str, num_experiments: int, + on_event: Callable[..., None] | None = None): super().__init__() self.path = osp.join(log_dir, self.FILE_NAME) + self.on_event = on_event + self.trial: int | None = None self.progress = load_json(self.path, AutoTrainerProgress, raise_on_missing=False) if self.progress is None: self.progress = AutoTrainerProgress(total_trials=num_experiments) - def set_current_trainer(self, trainer: Any | None): + def set_current_trainer(self, trainer: Any | None, + trial: int | None = None): self.trainer = trainer + self.trial = trial def on_train_start(self, pl_trainer, pl_module): if self.progress.start_time is None: @@ -184,30 +189,16 @@ def on_train_epoch_end(self, pl_trainer, pl_module): save_json(self.progress, self.path) + if self.on_event is not None and self.trial is not None: + progress = self.trainer.training_progress_logger.progress + epoch = progress.num_epochs_completed + metrics = progress.metrics[epoch - 1] + self.on_event('epoch_ended', trial=self.trial, epoch=epoch, + metrics={ + **metrics.train_metrics, + **metrics.validation_metrics + }) + def on_validation_end(self, pl_trainer, pl_module): if pl_trainer.state.fn == TrainerFn.VALIDATING: save_json(self.progress, self.path) - - -class EpochEventEmitter(MonitoringCallback): - def __init__(self, on_event: Callable[[dict[str, Any]], None], - trial: int): - super().__init__() - self.on_event = on_event - self.trial = trial - - def on_train_epoch_end(self, pl_trainer, pl_module): - try: - self.on_event({ - 'name': 'epoch_ended', - 'trial': self.trial, - 'epoch': pl_trainer.current_epoch + 1, - 'metrics': { - key: float(value) - for key, value in pl_trainer.progress_bar_metrics.items() - if key.startswith(('train_', 'val_')) - }, - }) - except Exception: - logger.warning("Could not report progress event 'epoch_ended'", - exc_info=True) diff --git a/packages/kumo-core/src/kumo_core/instrumentation.py b/packages/kumo-core/src/kumo_core/instrumentation.py index ab887f8aa..141bcd748 100644 --- a/packages/kumo-core/src/kumo_core/instrumentation.py +++ b/packages/kumo-core/src/kumo_core/instrumentation.py @@ -24,6 +24,9 @@ def span(self, name: str, **fields: Any) -> ContextManager[None]: def timing(self, name: str, **fields: Any) -> ContextManager[None]: ... + def event(self, name: str, **fields: Any) -> None: + return None + class NoOpTrainingInstrumentation: def record_metrics_job_name(self, job_name: str) -> None: @@ -37,6 +40,9 @@ def span(self, name: str, **fields: Any) -> Iterator[None]: def timing(self, name: str, **fields: Any) -> Iterator[None]: yield + def event(self, name: str, **fields: Any) -> None: + return None + _instrumentation: TrainingInstrumentation = NoOpTrainingInstrumentation() @@ -54,6 +60,10 @@ def timing(name: str, **fields: Any) -> ContextManager[None]: return _instrumentation.timing(name, **fields) +def format_error(error: BaseException) -> str: + return f'{type(error).__name__}: {error}'[:200] + + def trace() -> Callable[[Callable[..., T]], Callable[..., T]]: def decorate(function: Callable[..., T]) -> Callable[..., T]: @wraps(function) diff --git a/packages/kumo-core/src/kumo_core/training/orchestration.py b/packages/kumo-core/src/kumo_core/training/orchestration.py index 274346041..b7235971c 100644 --- a/packages/kumo-core/src/kumo_core/training/orchestration.py +++ b/packages/kumo-core/src/kumo_core/training/orchestration.py @@ -96,7 +96,6 @@ class TrainingBindings: artifact_publisher: VitalArtifactPublisher before_evaluate: Callable[[], None] = _no_op load_validation_metrics: MetricsLoader = _empty_metrics - on_event: Callable[[dict[str, Any]], None] | None = None @dataclass(frozen=True) @@ -287,7 +286,6 @@ def _create_auto_trainer( task=training_input.task, runtime=bindings.runtime, instrumentation=bindings.instrumentation, - on_event=bindings.on_event, random_state_seed=options.random_state_seed, checkpoint_path=checkpoint_path, checkpoint_encoder_dir=checkpoint_encoder_dir, diff --git a/packages/kumo-core/src/kumo_core/training/runtime.py b/packages/kumo-core/src/kumo_core/training/runtime.py index c81472a2e..14ada8ff5 100644 --- a/packages/kumo-core/src/kumo_core/training/runtime.py +++ b/packages/kumo-core/src/kumo_core/training/runtime.py @@ -7,15 +7,7 @@ import os from pathlib import Path -from typing import ( - TYPE_CHECKING, - Any, - Callable, - Dict, - Optional, - Protocol, - Tuple, -) +from typing import TYPE_CHECKING, Any, Dict, Optional, Protocol, Tuple import psutil from diskgraph import SamplerEngine @@ -28,6 +20,7 @@ if TYPE_CHECKING: from kumo_core.embedding_models import EmbeddingModelStore + from kumo_core.instrumentation import TrainingInstrumentation class TrainingDataRuntime(Protocol): @@ -210,7 +203,7 @@ def local_training_bindings( training_input: Any, run_name: Optional[str] = None, embedding_models: Optional[EmbeddingModelStore] = None, - on_event: Optional[Callable[[dict[str, Any]], None]] = None, + instrumentation: Optional[TrainingInstrumentation] = None, ) -> Any: r"""Binds one resolved training input to this process. @@ -228,12 +221,11 @@ def local_training_bindings( resolved_task=training_input.task, run_name=run_name, embedding_models=embedding_models), - instrumentation=NoOpTrainingInstrumentation(), + instrumentation=instrumentation or NoOpTrainingInstrumentation(), resolve_vital_artifacts=resolve_vital_artifact_sources, # The vital bundle lands beside the run. A platform backend would then # upload it to a registry; locally the path is the identity. artifact_publisher=FilesystemVitalArtifactPublisher( Path(training_input.home_dir) / 'published-model'), load_validation_metrics=_trainer_validation_metrics, - on_event=on_event, ) diff --git a/packages/kumo-core/tests/test_searched_params.py b/packages/kumo-core/tests/test_searched_params.py index 67c3ee72a..c59c8390a 100644 --- a/packages/kumo-core/tests/test_searched_params.py +++ b/packages/kumo-core/tests/test_searched_params.py @@ -5,11 +5,10 @@ import json from kumo_core.automl.optuna_searcher import TPESearcher -from kumo_core.automl.searcher import searched_params from kumo_core.model_plan import ModelPlan -def test_searched_params_reports_only_varied_fields_as_json(): +def test_searcher_records_only_varied_fields_as_json(): space = ModelPlan() space.training_job.tune_metric = 'mae' space.optimization.base_lr = [0.1, 0.01] @@ -17,15 +16,23 @@ def test_searched_params_reports_only_varied_fields_as_json(): space.optimization.optimizer = ['Adam', 'AdamW'] space.neighbor_sampling.num_neighbors = [[16, 8], [8, 4]] space.model_architecture.channels = [64, 128] + searcher = TPESearcher(space, seed=0) - cfg = TPESearcher(space, seed=0).suggest() - params = searched_params(space, cfg) + def chosen(cfg): + return { + 'optimization.base_lr': cfg.optimization.base_lr[0], + 'optimization.optimizer': cfg.optimization.optimizer[0], + 'model_architecture.channels': cfg.model_architecture.channels[0], + 'neighbor_sampling.num_neighbors': + str(cfg.neighbor_sampling.num_neighbors[0]), + } - assert set(params) == { - 'optimization.base_lr', 'optimization.optimizer', - 'model_architecture.channels', 'neighbor_sampling.num_neighbors' - } - assert params['optimization.base_lr'] == cfg.optimization.base_lr[0] - assert params['neighbor_sampling.num_neighbors'] == str( - cfg.neighbor_sampling.num_neighbors[0]) - json.dumps(params) + cfg = searcher.suggest() + assert searcher.sampled_params == chosen(cfg) + json.dumps(searcher.sampled_params) + + searcher.max_attempts = 0 + cfg = searcher.suggest() + assert searcher.sampled_params == chosen(cfg) + assert (searcher.sampled_params + is searcher.fallback_sampler.sampled_params) diff --git a/packages/kumo-engine/kumo/engine/_events.py b/packages/kumo-engine/kumo/engine/_events.py index fba1dbb35..7309aab19 100644 --- a/packages/kumo-engine/kumo/engine/_events.py +++ b/packages/kumo-engine/kumo/engine/_events.py @@ -3,11 +3,23 @@ # SPDX-License-Identifier: Apache-2.0 r"""Progress events reported by `Trainer.fit`.""" +import hashlib import logging import math import time from dataclasses import asdict, dataclass, field -from typing import Any, Callable, Dict, Literal, Mapping, Optional, Sequence +from typing import ( + Any, + Callable, + Dict, + Literal, + Mapping, + Optional, + Sequence, + cast, +) + +from kumo_core.instrumentation import NoOpTrainingInstrumentation logger = logging.getLogger(__name__) @@ -31,6 +43,10 @@ def to_dict(self) -> Dict[str, Any]: return asdict(self) +def query_sha256(query: str) -> str: + return hashlib.sha256(query.encode()).hexdigest() + + def _finite_floats(metrics: Mapping[str, Any]) -> Dict[str, float]: result = {} for key, value in metrics.items(): @@ -43,7 +59,7 @@ def _finite_floats(metrics: Mapping[str, Any]) -> Dict[str, float]: return result -class EventEmitter: +class EventEmitter(NoOpTrainingInstrumentation): def __init__(self, run_id: str, callbacks: Sequence[Callable[[Event], None]]) -> None: self.run_id = run_id @@ -66,8 +82,5 @@ def emit(self, name: EventName, *, trial: Optional[int] = None, 'rest of run %s', callback, self.run_id, exc_info=True) self._callbacks.remove(callback) - @property - def core_sink(self) -> Optional[Callable[[Dict[str, Any]], None]]: - if not self._callbacks: - return None - return lambda payload: self.emit(**payload) + def event(self, name: str, **fields: Any) -> None: + self.emit(cast(EventName, name), **fields) diff --git a/packages/kumo-engine/kumo/engine/trainer/_runtime.py b/packages/kumo-engine/kumo/engine/trainer/_runtime.py index d13005e73..8ce71b3d8 100644 --- a/packages/kumo-engine/kumo/engine/trainer/_runtime.py +++ b/packages/kumo-engine/kumo/engine/trainer/_runtime.py @@ -11,8 +11,9 @@ def local_training_bindings(training_input: Any, run_name: Optional[str] = None, embedding_models: Any = None, - on_event: Any = None) -> Any: + instrumentation: Any = None) -> Any: from kumo_core.training.runtime import local_training_bindings as bind return bind(training_input, run_name=run_name, - embedding_models=embedding_models, on_event=on_event) + embedding_models=embedding_models, + instrumentation=instrumentation) diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index 1e28067c6..41088f78c 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -16,6 +16,7 @@ import pandas as pd from kumo_core.embedding_models import EmbeddingModelStore +from kumo_core.instrumentation import format_error from kumo_core.model_plan import ModelPlan as CoreModelPlan from kumo_core.model_plan import inferred_or_missing_type_to_none from kumo_core.model_plan_conversion import public_model_plan_from_internal @@ -42,7 +43,7 @@ require_embedding_models, require_trained_embedding_models, ) -from kumo.engine._events import Event, EventEmitter +from kumo.engine._events import Event, EventEmitter, query_sha256 from kumo.engine._manifest import BundleProvenance from kumo.engine._scratch import new_run_id, trainer_scratch_dir from kumo.engine.connector.base import Connector @@ -331,8 +332,7 @@ def fit( try: started = { 'snapshot_id': snapshot.id, - 'query_sha256': hashlib.sha256( - train_table.query.encode()).hexdigest(), + 'query_sha256': query_sha256(train_table.query), } except Exception: started = {} @@ -345,7 +345,7 @@ def fit( except BaseException as error: events.emit('fit_ended', params={ 'status': 'failed', - 'error': f'{type(error).__name__}: {error}'[:200], + 'error': format_error(error), }) raise events.emit('fit_ended', metrics={ @@ -503,7 +503,7 @@ def _fit( bindings=local_training_bindings( training_input, run_name=run_id, embedding_models=self._embedding_models, - on_event=events.core_sink), + instrumentation=events), options=CallableTrainingOptions(), ) From 6b5f8eb03f2e336b78db76a3e38bbb56b04aeaa9 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 22:11:37 +0000 Subject: [PATCH 082/123] Never fail a fit when an epoch event cannot be built The epoch_ended event indexes the trial's recorded metrics; if that lookup fails (no metrics recorded for the epoch) the exception escapes the Lightning callback and fails the fit. Wrap it in a warning. Verified with a callback test that has no recorded metrics. Co-Authored-By: Claude Opus 5.5 --- .../callbacks/train_progress_logger.py | 20 +++++++++------- packages/kumo-engine/test/test_fit_events.py | 23 +++++++++++++++++++ 2 files changed, 35 insertions(+), 8 deletions(-) diff --git a/packages/kumo-core/src/kumo_core/callbacks/train_progress_logger.py b/packages/kumo-core/src/kumo_core/callbacks/train_progress_logger.py index f727091f3..abdbd7803 100644 --- a/packages/kumo-core/src/kumo_core/callbacks/train_progress_logger.py +++ b/packages/kumo-core/src/kumo_core/callbacks/train_progress_logger.py @@ -190,14 +190,18 @@ def on_train_epoch_end(self, pl_trainer, pl_module): save_json(self.progress, self.path) if self.on_event is not None and self.trial is not None: - progress = self.trainer.training_progress_logger.progress - epoch = progress.num_epochs_completed - metrics = progress.metrics[epoch - 1] - self.on_event('epoch_ended', trial=self.trial, epoch=epoch, - metrics={ - **metrics.train_metrics, - **metrics.validation_metrics - }) + try: + progress = self.trainer.training_progress_logger.progress + epoch = progress.num_epochs_completed + metrics = progress.metrics[epoch - 1] + self.on_event('epoch_ended', trial=self.trial, epoch=epoch, + metrics={ + **metrics.train_metrics, + **metrics.validation_metrics + }) + except Exception: + logger.warning('Could not report epoch_ended', + exc_info=True) def on_validation_end(self, pl_trainer, pl_module): if pl_trainer.state.fn == TrainerFn.VALIDATING: diff --git a/packages/kumo-engine/test/test_fit_events.py b/packages/kumo-engine/test/test_fit_events.py index 48a7d9792..849a53760 100644 --- a/packages/kumo-engine/test/test_fit_events.py +++ b/packages/kumo-engine/test/test_fit_events.py @@ -127,3 +127,26 @@ def test_event_metrics_keep_finite_numbers(): 'val_mae': 0.5}) assert received[0].metrics == {'val_mae': 0.5} + + +def test_epoch_event_without_recorded_metrics_does_not_raise(tmp_path): + from datetime import datetime, timezone + from types import SimpleNamespace + + from kumo_core.callbacks.train_progress_logger import ( + AutoTrainingProgressLogger, + ) + + received = [] + logger = AutoTrainingProgressLogger( + str(tmp_path), 1, on_event=lambda *a, **k: received.append(a)) + progress = SimpleNamespace(num_epochs_completed=1, metrics=[], + estimated_train_time=0.0) + logger.set_current_trainer( + SimpleNamespace(training_progress_logger=SimpleNamespace( + progress=progress)), trial=1) + logger.progress.start_time = datetime.now(timezone.utc) + + logger.on_train_epoch_end(None, None) + + assert received == [] From 6dea3f76d9108134d48953203a735334a633e1aa Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Tue, 20 Oct 2026 21:34:24 +0000 Subject: [PATCH 083/123] Record Trainer.fit in MLflow with opt-in fit(tracking=) Trainer.fit had no way to land in an experiment tracker: progress events existed, but nothing created MLflow runs, and kumo-core could not take a per-trial Lightning logger (passing logger= crashed with a duplicate keyword because create_pl_trainer read it with get and then splatted the kwargs again). Add a vendor-neutral Tracking protocol (start/trial_logger/on_event/ finish) and Trainer.fit(tracking=). kumo-core gains a TrainingBindings.trial_logger(trial, attempt) hook; AutoTrainer passes the returned logger to each search trial, where it is added after the default TensorBoard logger (Lightning's log_dir, read by the stopper, still comes from TensorBoard). Refit trainers get none. kumo.engine.integrations.mlflow.MlflowTracking (extra kumo-engine[mlflow]) opens one run per fit, nested under an active run, with tags, query hash, flattened resolved model plan, query.pql and model_plan.json; one child run per trial attempt with searched params, Lightning epoch metrics and best_/seconds summary; final metrics and seconds on the fit run. Autologging is suspended for the fit, only rank 0 logs, and any MLflow error warns once and stops tracking while the fit continues. Tracking and FitContext are exported from kumo.engine. Param keys MLflow would reject (column names in encoder overrides) stay in model_plan.json only. The root `test` extra gains mlflow so CI, which tests the engine wheel with --no-deps in the root environment, runs the tracking tests; uv.lock only adds packages. Verified with two-trial CPU fits against a sqlite tracking store (run tree, params, metrics, statuses, nesting, autolog on, failed fit, failing MLflow including Lightning's lazy get_run, untracked fit unchanged), the bare-install import test, a kumo-core logger test, and the fit-events, warm-start and kumo-core training suites. Co-Authored-By: Claude Opus 5.5 --- .../src/kumo_core/automl/auto_trainer.py | 13 +- .../kumo-core/src/kumo_core/train/trainer.py | 19 +- .../src/kumo_core/training/orchestration.py | 2 + .../src/kumo_core/training/runtime.py | 12 +- packages/kumo-core/tests/test_training.py | 24 + packages/kumo-engine/kumo/engine/__init__.py | 3 + packages/kumo-engine/kumo/engine/_tracking.py | 84 +++ .../kumo/engine/integrations/__init__.py | 3 + .../kumo/engine/integrations/mlflow.py | 289 ++++++++ .../kumo/engine/trainer/_runtime.py | 6 +- .../kumo/engine/trainer/trainer.py | 32 +- packages/kumo-engine/pyproject.toml | 6 + .../kumo-engine/test/test_mlflow_tracking.py | 284 ++++++++ .../kumo-engine/test/test_optional_imports.py | 9 + setup.py | 3 + uv.lock | 616 ++++++++++++++---- 16 files changed, 1258 insertions(+), 147 deletions(-) create mode 100644 packages/kumo-engine/kumo/engine/_tracking.py create mode 100644 packages/kumo-engine/kumo/engine/integrations/__init__.py create mode 100644 packages/kumo-engine/kumo/engine/integrations/mlflow.py create mode 100644 packages/kumo-engine/test/test_mlflow_tracking.py diff --git a/packages/kumo-core/src/kumo_core/automl/auto_trainer.py b/packages/kumo-core/src/kumo_core/automl/auto_trainer.py index 3abe36170..3615abb10 100644 --- a/packages/kumo-core/src/kumo_core/automl/auto_trainer.py +++ b/packages/kumo-core/src/kumo_core/automl/auto_trainer.py @@ -17,7 +17,7 @@ import warnings from dataclasses import asdict, dataclass, fields, is_dataclass from enum import Enum -from typing import Any +from typing import Any, Callable import pandas as pd import torch @@ -210,6 +210,8 @@ class AutoTrainer: home_dir: The home directory used to resolve ``root_dir`` and to load/save :class:`TrainStatus`. If ``None``, the runtime supplies its default. + trial_logger: Called with ``(trial, attempt)`` for each search trial; + a returned Lightning logger also receives that trial's metrics. """ def __init__( self, @@ -222,6 +224,7 @@ def __init__( checkpoint_path: str | None = None, home_dir: str | None = None, checkpoint_encoder_dir: str | None = None, + trial_logger: Callable[[int, int], Any] | None = None, **kwargs: Any, ) -> None: if not isinstance(task, ResolvedNumericalTask): @@ -230,6 +233,7 @@ def __init__( self.task = task self.runtime = runtime self.instrumentation = instrumentation + self.trial_logger = trial_logger self.checkpoint_path = checkpoint_path self.checkpoint_encoder_dir = checkpoint_encoder_dir self.max_tries = max_tries @@ -460,6 +464,7 @@ def _train( pruning: Callback | None = None, status: TrainStatus | None = None, trial: int | None = None, + attempt: int | None = None, ) -> list[float]: r"""Config-driven training function. @@ -660,6 +665,11 @@ def _train( "TT-NG requires a diskgraph task-dataset bundle") extra_trainer_kwargs['diskgraph_task_dataset_bundle_dir'] = ( self.diskgraph_task_dataset_bundle_dir) + if (self.trial_logger is not None and trial is not None + and attempt is not None): + pl_logger = self.trial_logger(trial, attempt) + if pl_logger is not None: + extra_trainer_kwargs['logger'] = pl_logger with self.instrumentation.timing( "auto_trainer.train.construct_trainer"): @@ -893,6 +903,7 @@ def _run( pruning=pruning, status=status, trial=i + 1, + attempt=j + 1, ) trial_seconds = time.monotonic() - trial_start best_performance = _eval_fn[tune_mode](val_performance) diff --git a/packages/kumo-core/src/kumo_core/train/trainer.py b/packages/kumo-core/src/kumo_core/train/trainer.py index 458a6536f..0c5589912 100644 --- a/packages/kumo-core/src/kumo_core/train/trainer.py +++ b/packages/kumo-core/src/kumo_core/train/trainer.py @@ -1432,14 +1432,17 @@ def create_pl_trainer(self): if self.fit_mode.is_refit: limit_val_batches = 0 - pl_logger = self.kwargs.get("logger", None) - if pl_logger is None: - pl_logger = pl.loggers.TensorBoardLogger( - save_dir=self.get_log_dir(local=True), - name='', - version='', - sub_dir='tensorboard', - ) + # TensorBoard stays first: Lightning's ``log_dir``, which the stopper + # reads, comes from the first logger. + pl_logger: Any = pl.loggers.TensorBoardLogger( + save_dir=self.get_log_dir(local=True), + name='', + version='', + sub_dir='tensorboard', + ) + extra_logger = self.kwargs.pop("logger", None) + if extra_logger is not None: + pl_logger = [pl_logger, extra_logger] plugins = self.kwargs.pop('plugins', None) if plugins is None: diff --git a/packages/kumo-core/src/kumo_core/training/orchestration.py b/packages/kumo-core/src/kumo_core/training/orchestration.py index b7235971c..affba0137 100644 --- a/packages/kumo-core/src/kumo_core/training/orchestration.py +++ b/packages/kumo-core/src/kumo_core/training/orchestration.py @@ -96,6 +96,7 @@ class TrainingBindings: artifact_publisher: VitalArtifactPublisher before_evaluate: Callable[[], None] = _no_op load_validation_metrics: MetricsLoader = _empty_metrics + trial_logger: Callable[[int, int], Any] | None = None @dataclass(frozen=True) @@ -286,6 +287,7 @@ def _create_auto_trainer( task=training_input.task, runtime=bindings.runtime, instrumentation=bindings.instrumentation, + trial_logger=bindings.trial_logger, random_state_seed=options.random_state_seed, checkpoint_path=checkpoint_path, checkpoint_encoder_dir=checkpoint_encoder_dir, diff --git a/packages/kumo-core/src/kumo_core/training/runtime.py b/packages/kumo-core/src/kumo_core/training/runtime.py index 14ada8ff5..0498e6a09 100644 --- a/packages/kumo-core/src/kumo_core/training/runtime.py +++ b/packages/kumo-core/src/kumo_core/training/runtime.py @@ -7,7 +7,15 @@ import os from pathlib import Path -from typing import TYPE_CHECKING, Any, Dict, Optional, Protocol, Tuple +from typing import ( + TYPE_CHECKING, + Any, + Callable, + Dict, + Optional, + Protocol, + Tuple, +) import psutil from diskgraph import SamplerEngine @@ -204,6 +212,7 @@ def local_training_bindings( run_name: Optional[str] = None, embedding_models: Optional[EmbeddingModelStore] = None, instrumentation: Optional[TrainingInstrumentation] = None, + trial_logger: Optional[Callable[[int, int], Any]] = None, ) -> Any: r"""Binds one resolved training input to this process. @@ -228,4 +237,5 @@ def local_training_bindings( artifact_publisher=FilesystemVitalArtifactPublisher( Path(training_input.home_dir) / 'published-model'), load_validation_metrics=_trainer_validation_metrics, + trial_logger=trial_logger, ) diff --git a/packages/kumo-core/tests/test_training.py b/packages/kumo-core/tests/test_training.py index 1b8720aca..49f6aeaf8 100644 --- a/packages/kumo-core/tests/test_training.py +++ b/packages/kumo-core/tests/test_training.py @@ -527,3 +527,27 @@ def test_hosted_warm_start_rejects_forecasting_before_loading_trainer( assert automl_runtime.resolve_warm_start( ModelPlan(), numerical_task(TaskType.FORECASTING), Runtime()) == (None, None) + + +@pytest.mark.parametrize("extra_logger", [False, True]) +def test_pl_trainer_keeps_tensorboard_and_adds_a_supplied_logger( + tmp_path, extra_logger): + from pytorch_lightning.loggers import CSVLogger, TensorBoardLogger + + trainer = CoreTrainer.__new__(CoreTrainer) + trainer.get_log_dir = lambda local=False, original=False: str(tmp_path) + trainer.early_stopping = False + trainer.fit_mode = FitMode.fit + trainer.tune_metric = "mae" + trainer.max_epochs = 1 + supplied = CSVLogger(str(tmp_path)) + trainer.kwargs = {"accelerator": "cpu"} + if extra_logger: + trainer.kwargs["logger"] = supplied + + trainer.create_pl_trainer() + + loggers = trainer.pl_trainer.loggers + assert isinstance(loggers[0], TensorBoardLogger) + assert loggers[1:] == ([supplied] if extra_logger else []) + assert trainer.pl_trainer.log_dir == str(tmp_path / "tensorboard") diff --git a/packages/kumo-engine/kumo/engine/__init__.py b/packages/kumo-engine/kumo/engine/__init__.py index 873f35908..fc246a704 100644 --- a/packages/kumo-engine/kumo/engine/__init__.py +++ b/packages/kumo-engine/kumo/engine/__init__.py @@ -26,6 +26,7 @@ from kumoapi.table import Column from kumo.engine._events import Event +from kumo.engine._tracking import FitContext, Tracking from kumo.engine._version import __version__ from kumo.engine.config import configure from kumo.engine.connector import ( @@ -61,6 +62,8 @@ "__version__", "configure", "Event", + "FitContext", + "Tracking", "EmbeddingModelStore", "GloVeVectors", "TokenEmbeddingModel", diff --git a/packages/kumo-engine/kumo/engine/_tracking.py b/packages/kumo-engine/kumo/engine/_tracking.py new file mode 100644 index 000000000..f265f78ca --- /dev/null +++ b/packages/kumo-engine/kumo/engine/_tracking.py @@ -0,0 +1,84 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. +# All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +r"""Experiment tracking hooks for `Trainer.fit`.""" + +import logging +from dataclasses import dataclass +from typing import TYPE_CHECKING, Any, Callable, Mapping, Optional, Protocol + +from kumo.engine._events import Event + +if TYPE_CHECKING: + from kumo.engine.trainer.trainer import TrainingResult + +logger = logging.getLogger(__name__) + + +@dataclass(frozen=True) +class FitContext: + r"""What a fit trains, known once its model plan is resolved.""" + + run_id: str + task_type: str + snapshot_id: str + training_table_id: str + query: str + model_plan: Mapping[str, Any] + + +class Tracking(Protocol): + r"""Receives one `Trainer.fit`'s lifecycle. Errors are logged, never + raised into the fit.""" + def start(self, context: FitContext) -> None: + ... + + def trial_logger(self, trial: int, attempt: int) -> Optional[Any]: + r"""A Lightning logger that also receives one search-trial attempt's + metrics, or None.""" + ... + + def on_event(self, event: Event) -> None: + ... + + def finish(self, result: Optional['TrainingResult'], + error: Optional[BaseException]) -> None: + ... + + +class TrackingSession: + r"""Calls one fit's `Tracking` hooks, best-effort.""" + def __init__(self, tracking: Optional[Tracking]) -> None: + self._tracking = tracking + self._started = False + + @property + def enabled(self) -> bool: + return self._tracking is not None + + def start(self, context: Callable[[], FitContext]) -> None: + if self._tracking is None: + return + self._started = True + self._call(lambda: self._tracking.start(context())) + + def trial_logger(self, trial: int, attempt: int) -> Optional[Any]: + return self._call(lambda: self._tracking.trial_logger(trial, attempt)) + + def on_event(self, event: Event) -> None: + if self._started: + self._call(lambda: self._tracking.on_event(event)) + + def finish(self, result: Optional['TrainingResult'], + error: Optional[BaseException]) -> None: + if self._started: + self._call(lambda: self._tracking.finish(result, error)) + + @staticmethod + def _call(hook: Callable[[], Any]) -> Any: + try: + return hook() + except Exception: + logger.warning('Experiment tracking failed; the fit continues', + exc_info=True) + return None diff --git a/packages/kumo-engine/kumo/engine/integrations/__init__.py b/packages/kumo-engine/kumo/engine/integrations/__init__.py new file mode 100644 index 000000000..f2aa5b939 --- /dev/null +++ b/packages/kumo-engine/kumo/engine/integrations/__init__.py @@ -0,0 +1,3 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. +# All rights reserved. +# SPDX-License-Identifier: Apache-2.0 diff --git a/packages/kumo-engine/kumo/engine/integrations/mlflow.py b/packages/kumo-engine/kumo/engine/integrations/mlflow.py new file mode 100644 index 000000000..a10eaa94f --- /dev/null +++ b/packages/kumo-engine/kumo/engine/integrations/mlflow.py @@ -0,0 +1,289 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. +# All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +r"""MLflow tracking for `Trainer.fit` (``pip install 'kumo-engine[mlflow]'``). + +Each fit is one MLflow run: nested under the caller's active run if there is +one, else a new run in the current or named experiment. Each AutoML trial +attempt is a child run with its searched hyperparameters, per-epoch metrics +and summary metrics; the fit run gets the resolved model plan, the query and +the final metrics. Trial runs still open when the fit ends (the fit failed +mid-trial) are ended FAILED. MLflow autologging is suspended for the fit, so +it adds no runs of its own. Only global rank 0 logs. Any MLflow error is +logged once as a warning and stops tracking for the rest of that fit: only the +fit run is then ended, and open trial runs are left as they are. The fit +itself is unaffected. Concurrent fits in one process are not supported. +""" + +import hashlib +import json +import logging +import os +import posixpath +import re +import time +from contextlib import ExitStack +from typing import Any, Callable, Dict, Iterator, Mapping, Optional, Tuple + +from pytorch_lightning.loggers import MLFlowLogger + +from kumo.engine._events import Event +from kumo.engine._tracking import FitContext +from kumo.engine._version import __version__ +from kumo.engine.connector._extras import import_provider + +logger = logging.getLogger(__name__) + +_MAX_PARAM_KEY = 250 +_MAX_PARAM_VALUE = 6000 +# MLflow's portable name charset (its Windows rule, which omits ':'). +_PARAM_KEY = re.compile(r'[/\w.\- ]+') + + +class MlflowTracking: + r"""Records `Trainer.fit` in MLflow; pass as ``fit(tracking=...)``. + + Args: + experiment_name: experiment for the fit run, created if missing. + `None` uses the current experiment. + run_name: name of the fit run. `None` lets MLflow pick one. + log_system_metrics: sample CPU, memory, disk, network and (with + ``nvidia-ml-py``) GPU usage on the fit run. + tags: extra tags for the fit run. + + Raises: + ImportError: if mlflow is not installed. + """ + def __init__( + self, + experiment_name: Optional[str] = None, + run_name: Optional[str] = None, + log_system_metrics: bool = True, + tags: Optional[Mapping[str, str]] = None, + ) -> None: + self._mlflow = import_provider('mlflow', 'mlflow') + self.experiment_name = experiment_name + self.run_name = run_name + self.log_system_metrics = log_system_metrics + self.tags = dict(tags or {}) + self._reset() + + def _reset(self) -> None: + self._enabled = False + self._client: Any = None + self._parent: Optional[str] = None + self._experiment_id: Optional[str] = None + self._children: Dict[Tuple[int, int], str] = {} + self._seconds: Optional[float] = None + self._guard = ExitStack() + + def start(self, context: FitContext) -> None: + self._reset() + if _rank() != 0: + return + self._enabled = True + try: + autologging = import_provider('mlflow.utils.autologging_utils', + 'mlflow') + # Not reentrant: leaving it clears the flag, so never nest it. + if not getattr(autologging, '_AUTOLOGGING_GLOBALLY_DISABLED', + False): + self._guard.enter_context(autologging.disable_autologging()) + except Exception: + logger.warning( + 'Could not suspend MLflow autologging; it may log the ' + 'internal trial fits as extra runs', exc_info=True) + self._safe(self._start_parent, context) + + def trial_logger(self, trial: int, attempt: int) -> Optional[Any]: + return self._safe(self._trial_logger, trial, attempt) + + def on_event(self, event: Event) -> None: + if event.trial is not None: + attempt = int(event.params.get('attempt', 1)) + if event.name == 'trial_started': + self._safe(self._log_params, + self._safe(self._child, event.trial, attempt), + event.params) + elif event.name == 'trial_ended': + self._safe(self._end_trial, event.trial, attempt, event) + elif event.name == 'fit_ended': + self._seconds = event.metrics.get('seconds') + + def finish(self, result: Any, error: Optional[BaseException]) -> None: + try: + if result is not None: + metrics = dict(result.metrics) + if self._seconds is not None: + metrics['seconds'] = self._seconds + self._safe(self._log_metrics, self._parent, metrics) + status = 'FINISHED' if error is None else 'FAILED' + if self._enabled: + for run_id in self._children.values(): + _quietly(self._client.set_terminated, run_id, 'FAILED') + if self._parent is not None: + active = self._mlflow.active_run() + if active is not None and active.info.run_id == self._parent: + _quietly(self._mlflow.end_run, status) + else: + _quietly(self._client.set_terminated, self._parent, status) + finally: + self._guard.close() + self._reset() + + def _start_parent(self, context: FitContext) -> None: + mlflow = self._mlflow + self._client = mlflow.MlflowClient() + experiment_id = None + if self.experiment_name is not None: + experiment = self._client.get_experiment_by_name( + self.experiment_name) + experiment_id = (experiment.experiment_id + if experiment else self._client.create_experiment( + self.experiment_name)) + run = mlflow.start_run( + experiment_id=experiment_id, + run_name=self.run_name, + nested=mlflow.active_run() is not None, + tags={ + 'kumo.engine_version': __version__, + 'kumo.run_id': context.run_id, + 'kumo.snapshot_id': context.snapshot_id, + 'kumo.training_table_id': context.training_table_id, + **self.tags, + }, + log_system_metrics=self.log_system_metrics, + ) + self._parent = run.info.run_id + self._experiment_id = run.info.experiment_id + self._log_params( + self._parent, { + 'task_type': context.task_type, + 'snapshot_id': context.snapshot_id, + 'training_table_id': context.training_table_id, + 'query_sha256': hashlib.sha256( + context.query.encode()).hexdigest(), + **dict(_flatten(context.model_plan)), + }) + self._client.log_text(self._parent, context.query, 'query.pql') + self._client.log_dict(self._parent, dict(context.model_plan), + 'model_plan.json') + + def _child(self, trial: int, attempt: int) -> str: + key = (trial, attempt) + if key not in self._children: + run = self._client.create_run( + self._experiment_id, + run_name=f'trial-{trial}-attempt-{attempt}', + tags={'mlflow.parentRunId': self._parent}, + ) + self._children[key] = run.info.run_id + return self._children[key] + + def _trial_logger(self, trial: int, attempt: int) -> '_KumoMLFlowLogger': + trial_logger = _KumoMLFlowLogger( + self, run_id=self._child(trial, attempt), + tracking_uri=self._mlflow.get_tracking_uri(), log_model=False) + # Lightning resolves these lazily, outside our error handling. + trial_logger.experiment + trial_logger.version + return trial_logger + + def _end_trial(self, trial: int, attempt: int, event: Event) -> None: + run_id = self._child(trial, attempt) + self._log_metrics( + run_id, { + name if name == 'seconds' else f'best_{name}': value + for name, value in event.metrics.items() + }) + succeeded = event.params.get('status') == 'succeeded' + self._client.set_terminated(run_id, + 'FINISHED' if succeeded else 'FAILED') + del self._children[(trial, attempt)] + + def _log_params(self, run_id: str, params: Mapping[str, Any]) -> None: + entities = import_provider('mlflow.entities', 'mlflow') + self._client.log_batch( + run_id, params=[ + entities.Param(key, value) + for key, value in ((key, _param_value(value)) + for key, value in params.items()) + if _valid_key(key) and len(value) <= _MAX_PARAM_VALUE + ]) + + def _log_metrics(self, run_id: Optional[str], + metrics: Mapping[str, float]) -> None: + if run_id is None or not metrics: + return + entities = import_provider('mlflow.entities', 'mlflow') + timestamp = int(time.time() * 1000) + self._client.log_batch( + run_id, metrics=[ + entities.Metric(key, float(value), timestamp, 0) + for key, value in metrics.items() + ]) + + def _safe(self, function: Callable[..., Any], *args: Any, + **kwargs: Any) -> Any: + if not self._enabled: + return None + try: + return function(*args, **kwargs) + except Exception: + logger.warning( + 'MLflow tracking failed; it is off for the rest of this fit, ' + 'which continues', exc_info=True) + self._enabled = False + return None + + +class _KumoMLFlowLogger(MLFlowLogger): + r"""Logs one trial's epoch metrics to an existing child run. The tracker, + not Lightning, ends the run.""" + def __init__(self, tracking: MlflowTracking, **kwargs: Any) -> None: + super().__init__(**kwargs) + self._tracking = tracking + + def log_metrics(self, metrics: Mapping[str, float], + step: Optional[int] = None) -> None: + self._tracking._safe(super().log_metrics, metrics, step) + + def log_hyperparams(self, params: Any) -> None: + self._tracking._safe(super().log_hyperparams, params) + + def finalize(self, status: str = 'success') -> None: + pass + + +def _rank() -> int: + for name in ('RANK', 'LOCAL_RANK'): + value = os.environ.get(name, '') + if value.strip() not in ('', '0'): + return 1 + return 0 + + +def _flatten(value: Any, prefix: str = '') -> Iterator[Tuple[str, Any]]: + if isinstance(value, Mapping): + for key, item in value.items(): + yield from _flatten(item, f'{prefix}{key}.') + else: + yield prefix[:-1], value + + +def _valid_key(key: str) -> bool: + return (len(key) <= _MAX_PARAM_KEY and _PARAM_KEY.fullmatch(key) is not None + and posixpath.normpath(key) == key and not key.startswith('/')) + + +def _param_value(value: Any) -> str: + if isinstance(value, str): + return value + return json.dumps(value, default=str) + + +def _quietly(function: Callable[..., Any], *args: Any) -> None: + try: + function(*args) + except Exception: + logger.debug('MLflow cleanup call failed', exc_info=True) diff --git a/packages/kumo-engine/kumo/engine/trainer/_runtime.py b/packages/kumo-engine/kumo/engine/trainer/_runtime.py index 8ce71b3d8..156b6408e 100644 --- a/packages/kumo-engine/kumo/engine/trainer/_runtime.py +++ b/packages/kumo-engine/kumo/engine/trainer/_runtime.py @@ -11,9 +11,11 @@ def local_training_bindings(training_input: Any, run_name: Optional[str] = None, embedding_models: Any = None, - instrumentation: Any = None) -> Any: + instrumentation: Any = None, + trial_logger: Any = None) -> Any: from kumo_core.training.runtime import local_training_bindings as bind return bind(training_input, run_name=run_name, embedding_models=embedding_models, - instrumentation=instrumentation) + instrumentation=instrumentation, + trial_logger=trial_logger) diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index 41088f78c..2b1ad24cf 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -46,6 +46,7 @@ from kumo.engine._events import Event, EventEmitter, query_sha256 from kumo.engine._manifest import BundleProvenance from kumo.engine._scratch import new_run_id, trainer_scratch_dir +from kumo.engine._tracking import FitContext, Tracking, TrackingSession from kumo.engine.connector.base import Connector from kumo.engine.connector.source_table import SourceTable from kumo.engine.graph import GraphSnapshot @@ -292,6 +293,7 @@ def fit( export_config: Optional[ModelOutputConfig] = None, warm_start: Optional[Self] = None, callbacks: Sequence[Callable[[Event], None]] = (), + tracking: Optional[Tracking] = None, ) -> TrainingResult: r"""Train a model against `train_table`. @@ -319,6 +321,9 @@ def fit( match. Forecasting warm starts are unsupported. callbacks: called with each progress `Event`; a callback that raises is logged and not called again. + tracking: records this fit in an experiment tracker, e.g. + `kumo.engine.integrations.mlflow.MlflowTracking`. Tracking + errors are logged as warnings and never fail the fit. """ if export_config is not None and not callable( getattr(export_config.connector.sink_backend, 'publish_model', @@ -327,7 +332,10 @@ def fit( f'{type(export_config.connector).__name__} cannot publish ' f'models') run_id = f'{self._id}-fit-{new_run_id()}' - events = EventEmitter(run_id, callbacks) + session = TrackingSession(tracking) + events = EventEmitter( + run_id, + [*callbacks, session.on_event] if session.enabled else callbacks) fit_start = time.monotonic() try: started = { @@ -341,16 +349,18 @@ def fit( result = self._fit(train_table, snapshot=snapshot, export_config=export_config, warm_start=warm_start, run_id=run_id, - events=events) + events=events, tracking=session) except BaseException as error: events.emit('fit_ended', params={ 'status': 'failed', 'error': format_error(error), }) + session.finish(None, error) raise events.emit('fit_ended', metrics={ **result.metrics, 'seconds': time.monotonic() - fit_start }, params={'status': 'succeeded'}) + session.finish(result, None) return result def _fit( @@ -362,12 +372,13 @@ def _fit( warm_start: Optional[Self], run_id: str, events: EventEmitter, + tracking: TrackingSession, ) -> TrainingResult: from kumo_core.automl.runtime import ( inherit_warm_start_model_plan, validate_warm_start_task_type, ) - from kumo_core.io.json import load_json + from kumo_core.io.json import load_json, to_json_dict from kumo_core.training.orchestration import ( CallableTrainingOptions, ResolvedTrainingInput, @@ -435,7 +446,8 @@ def _fit( from kumoapi.pquery import QueryType from pyarrow import parquet - parts = stage_parts(read_spec(str(train_table.staging_dir))) + train_table_spec = read_spec(str(train_table.staging_dir)) + parts = stage_parts(train_table_spec) seed_part = next(part for paths in parts.values() for part in paths) seed_schema = parquet.read_schema(train_table.staging_dir / seed_part) entity_tables = [workflow.query.entity_table] @@ -491,6 +503,14 @@ def _fit( tt_id=ingest_tt_id, ) del task_dataset + tracking.start(lambda: FitContext( + run_id=run_id, + task_type=TaskType(workflow.query.task_type).value, + snapshot_id=snapshot.id, + training_table_id=str(train_table_spec['tt_id']), + query=train_table.query, + model_plan=to_json_dict(materialized.model_plan), + )) training_input = ResolvedTrainingInput( task=materialized.task, model_plan=materialized.model_plan, @@ -503,7 +523,9 @@ def _fit( bindings=local_training_bindings( training_input, run_name=run_id, embedding_models=self._embedding_models, - instrumentation=events), + instrumentation=events, + trial_logger=(tracking.trial_logger + if tracking.enabled else None)), options=CallableTrainingOptions(), ) diff --git a/packages/kumo-engine/pyproject.toml b/packages/kumo-engine/pyproject.toml index 03dd919fe..3db170f48 100644 --- a/packages/kumo-engine/pyproject.toml +++ b/packages/kumo-engine/pyproject.toml @@ -62,6 +62,12 @@ text=[ gcs=[ "kumo-gcs>=0.1.0.dev1", ] +# MLflow tracking; nvidia-ml-py adds GPU system metrics (psutil, for the +# rest, comes with kumo-core). +mlflow=[ + "mlflow>=3.0,<4", + "nvidia-ml-py", +] # Reports this wheel's release version as the Kumo version. The provider is a # top-level module (see `[tool.setuptools] py-modules`) because importing diff --git a/packages/kumo-engine/test/test_mlflow_tracking.py b/packages/kumo-engine/test/test_mlflow_tracking.py new file mode 100644 index 000000000..798e3560e --- /dev/null +++ b/packages/kumo-engine/test/test_mlflow_tracking.py @@ -0,0 +1,284 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. +# All rights reserved. +# SPDX-License-Identifier: Apache-2.0 + +import hashlib +import json + +import numpy as np +import pandas as pd +import pytest +from kumoapi.encoder import Numerical +from kumoapi.model_plan import ModelPlan + +import kumo.engine as kumo +from kumo.engine._scratch import get_scratch_dir + +mlflow = pytest.importorskip('mlflow') + +QUERY = 'PREDICT ents.Y FOR EACH ents.ID' + + +@pytest.fixture +def tracking_uri(tmp_path, monkeypatch): + monkeypatch.chdir(tmp_path) # the default artifact root is ./mlruns + previous = mlflow.get_tracking_uri() + uri = f'sqlite:///{tmp_path / "mlflow.db"}' + mlflow.set_tracking_uri(uri) + try: + yield uri + finally: + while mlflow.active_run() is not None: + mlflow.end_run() + mlflow.set_tracking_uri(previous) + + +@pytest.fixture +def table_and_snapshot(tmp_path, monkeypatch, tracking_uri): + monkeypatch.setattr('kumo.engine._events._progress', None) + monkeypatch.delenv('KUMO_ENGINE_PROGRESS', raising=False) + previous_scratch = get_scratch_dir() + kumo.configure(scratch_dir=tmp_path / 'scratch') + try: + rng = np.random.default_rng(0) + (tmp_path / 'data').mkdir() + pd.DataFrame({ + 'ID': np.arange(400), + 'Y': rng.random(400), + 'F1': rng.normal(size=400), + 'amount ($)': rng.normal(size=400), + }).to_parquet(tmp_path / 'data' / 'ents.parquet') + connector = kumo.FileConnector(root_dir=str(tmp_path / 'data')) + ents = kumo.Table.from_source_table(connector['ents.parquet'], + primary_key='ID').infer_metadata() + graph = kumo.Graph(tables={'ents': ents}, edges=[]) + snapshot = graph.snapshot() + query = kumo.PredictiveQuery(graph=graph, query=QUERY) + yield query.generate_training_table(snapshot), snapshot + finally: + kumo.configure(scratch_dir=previous_scratch) + + +def _plan(): + plan = ModelPlan() + plan.training_job.num_experiments = 2 + plan.training_job.disable_explain = True + plan.optimization.max_epochs = 2 + plan.optimization.max_steps_per_epoch = 2 + plan.optimization.base_lr = [0.01, 0.001] + return plan + + +def _bundle_files(result): + return sorted( + str(path.relative_to(result.bundle_dir)) + for path in result.bundle_dir.rglob('*')) + + +def _runs(client): + return client.search_runs( + [e.experiment_id for e in client.search_experiments()]) + + +def test_fit_logs_a_run_per_fit_and_per_trial(table_and_snapshot, caplog): + from mlflow.utils import autologging_utils + + from kumo.engine.integrations.mlflow import MlflowTracking + + table, snapshot = table_and_snapshot + client = mlflow.MlflowClient() + plan = _plan() + plan.column_processing.encoder_overrides = { + 'ents.amount ($)': Numerical('standard') + } + mlflow.pytorch.autolog() + try: + result = kumo.Trainer(plan).fit( + table, snapshot=snapshot, + tracking=MlflowTracking(experiment_name='ents', run_name='fit', + tags={'team': 'a'})) + assert autologging_utils._AUTOLOGGING_GLOBALLY_DISABLED is False + finally: + mlflow.pytorch.autolog(disable=True) + + runs = _runs(client) + parent, = [run for run in runs if 'mlflow.parentRunId' not in run.data.tags] + children = sorted((run for run in runs if run is not parent), + key=lambda run: run.info.run_name) + assert client.get_experiment(parent.info.experiment_id).name == 'ents' + assert parent.info.run_name == 'fit' + assert parent.info.status == 'FINISHED' + assert parent.data.tags['team'] == 'a' + assert parent.data.tags['kumo.snapshot_id'] == snapshot.id + assert parent.data.tags['kumo.engine_version'] == kumo.__version__ + params = parent.data.params + assert params['task_type'] == 'regression' + assert params['snapshot_id'] == snapshot.id + assert params['training_table_id'] == ( + parent.data.tags['kumo.training_table_id']) + assert params['query_sha256'] == hashlib.sha256(QUERY.encode()).hexdigest() + assert json.loads(params['optimization.base_lr']) == [0.01, 0.001] + metrics = { + name: value + for name, value in parent.data.metrics.items() + if not name.startswith('system/') + } + assert metrics == {**result.metrics, 'seconds': metrics['seconds']} + artifacts = {a.path for a in client.list_artifacts(parent.info.run_id)} + assert {'query.pql', 'model_plan.json'} <= artifacts + plan = mlflow.artifacts.load_dict( + f'{parent.info.artifact_uri}/model_plan.json') + assert plan['optimization']['base_lr'] == [0.01, 0.001] + # Keys MLflow would reject (column names) stay in the JSON only. + assert 'amount ($)' in json.dumps(plan) + assert not any('$' in name for name in params) + assert 'MLflow tracking failed' not in caplog.text + + assert [run.info.run_name + for run in children] == ['trial-1-attempt-1', 'trial-2-attempt-1'] + for child in children: + assert child.info.status == 'FINISHED' + assert child.data.tags['mlflow.parentRunId'] == parent.info.run_id + assert child.data.params['attempt'] == '1' + assert float(child.data.params['optimization.base_lr']) in (0.01, 0.001) + assert {'best_val_mae', 'seconds', 'epoch'} <= set(child.data.metrics) + epochs = client.get_metric_history(child.info.run_id, 'epoch') + assert {0, 1} <= {metric.value for metric in epochs} + + +def test_fit_nests_under_the_active_run(table_and_snapshot): + from mlflow.utils import autologging_utils + + from kumo.engine.integrations.mlflow import MlflowTracking + + table, snapshot = table_and_snapshot + client = mlflow.MlflowClient() + plan = _plan() + plan.training_job.num_experiments = 1 + with mlflow.start_run() as outer, \ + autologging_utils.disable_autologging(): + kumo.Trainer(plan).fit( + table, snapshot=snapshot, + tracking=MlflowTracking(log_system_metrics=False)) + assert mlflow.active_run().info.run_id == outer.info.run_id + assert autologging_utils._AUTOLOGGING_GLOBALLY_DISABLED is True + + runs = {run.info.run_id: run for run in _runs(client)} + parent, = [ + run for run in runs.values() + if run.data.tags.get('mlflow.parentRunId') == outer.info.run_id + ] + child, = [ + run for run in runs.values() + if run.data.tags.get('mlflow.parentRunId') == parent.info.run_id + ] + assert len(runs) == 3 + assert parent.info.status == child.info.status == 'FINISHED' + + +def test_failed_fit_marks_the_run_failed(table_and_snapshot, monkeypatch): + import kumo_core.training.orchestration as orchestration + + from kumo.engine.integrations.mlflow import MlflowTracking + + error = ValueError('stop') + + def fail(*args, **kwargs): + raise error + + monkeypatch.setattr(orchestration, 'run_callable_training', fail) + table, snapshot = table_and_snapshot + + with pytest.raises(ValueError) as raised: + kumo.Trainer(_plan()).fit(table, snapshot=snapshot, + tracking=MlflowTracking()) + + assert raised.value is error + run, = _runs(mlflow.MlflowClient()) + assert run.info.status == 'FAILED' + assert mlflow.active_run() is None + + +def test_mlflow_errors_do_not_change_the_fit(table_and_snapshot, monkeypatch, + caplog): + from mlflow.tracking import MlflowClient + + import kumo.engine.trainer._runtime as runtime_module + from kumo.engine.integrations.mlflow import MlflowTracking + + table, snapshot = table_and_snapshot + bind = runtime_module.local_training_bindings + hooks = [] + + def spy(*args, trial_logger=None, **kwargs): + hooks.append(trial_logger) + return bind(*args, trial_logger=trial_logger, **kwargs) + + monkeypatch.setattr(runtime_module, 'local_training_bindings', spy) + baseline = kumo.Trainer(_plan()).fit(table, snapshot=snapshot) + + assert hooks == [None] + assert list(baseline.bundle_dir.parent.rglob('tensorboard')) + + log_batch = MlflowClient.log_batch + + def broken(self, run_id, metrics=(), **kwargs): + if metrics: + raise RuntimeError('tracking server down') + return log_batch(self, run_id, metrics=metrics, **kwargs) + + monkeypatch.setattr(MlflowClient, 'log_batch', broken) + result = kumo.Trainer(_plan()).fit( + table, snapshot=snapshot, + tracking=MlflowTracking(log_system_metrics=False)) + + # Fits are not seeded, so values differ run to run; the shape must not. + assert set(result.metrics) == set(baseline.metrics) + assert _bundle_files(result) == _bundle_files(baseline) + assert caplog.text.count('MLflow tracking failed') == 1 + assert 'tracking server down' in caplog.text + parent, = [ + run for run in _runs(mlflow.MlflowClient()) + if 'mlflow.parentRunId' not in run.data.tags + ] + assert parent.info.status == 'FINISHED' + assert mlflow.active_run() is None + + +def test_lazy_lightning_lookups_failing_do_not_fail_the_fit( + table_and_snapshot, monkeypatch, caplog): + from mlflow.tracking import MlflowClient + + from kumo.engine.integrations.mlflow import MlflowTracking + + def down(self, run_id): + raise RuntimeError('tracking server down') + + monkeypatch.setattr(MlflowClient, 'get_run', down) + table, snapshot = table_and_snapshot + plan = _plan() + plan.training_job.num_experiments = 1 + + result = kumo.Trainer(plan).fit( + table, snapshot=snapshot, + tracking=MlflowTracking(log_system_metrics=False)) + + assert 'val_mae' in result.metrics + assert caplog.text.count('MLflow tracking failed') == 1 + assert 'Trial failed' not in caplog.text + assert mlflow.active_run() is None + + +def test_only_rank_zero_logs(tracking_uri, monkeypatch): + from kumo.engine import FitContext + from kumo.engine.integrations.mlflow import MlflowTracking + + monkeypatch.setenv('LOCAL_RANK', '1') + tracking = MlflowTracking() + tracking.start( + FitContext(run_id='r', task_type='regression', snapshot_id='s', + training_table_id='t', query=QUERY, model_plan={})) + + assert tracking.trial_logger(1, 1) is None + tracking.finish(None, None) + assert _runs(mlflow.MlflowClient()) == [] diff --git a/packages/kumo-engine/test/test_optional_imports.py b/packages/kumo-engine/test/test_optional_imports.py index c70368fed..f9ee60309 100644 --- a/packages/kumo-engine/test/test_optional_imports.py +++ b/packages/kumo-engine/test/test_optional_imports.py @@ -26,6 +26,7 @@ 's3fs', 'google', 'gcsfs', + 'mlflow', ) PROVIDER_PACKAGES = ( 'kumo_snowflake', @@ -114,6 +115,14 @@ def find_spec(self, name, path=None, target=None): # and only the stand-in `self` is missing. Fine: nothing # broke at import time. pass + + from kumo.engine.integrations.mlflow import MlflowTracking + try: + MlflowTracking() + except ImportError as e: + assert "kumo-engine[mlflow]" in str(e), e + else: + raise AssertionError("MlflowTracking() needs mlflow") print("ok") ''') diff --git a/setup.py b/setup.py index 361976afc..dd822d562 100644 --- a/setup.py +++ b/setup.py @@ -293,6 +293,9 @@ def parse_project_version(project_file_path: Path) -> str: "respx==0.22.0", "pytorch-frame==0.3.0", "pytorch-lightning==2.6.5", + # kumo-engine's MLflow tracking tests; the engine wheel is tested with + # --no-deps in this environment, so its `mlflow` extra is not installed. + "mlflow>=3.0,<4", ] dev_requires = test_requires + [ diff --git a/uv.lock b/uv.lock index 9ba891169..8b8d8a7e1 100644 --- a/uv.lock +++ b/uv.lock @@ -140,7 +140,7 @@ dependencies = [ { name = "frozenlist" }, { name = "multidict" }, { name = "propcache" }, - { name = "typing-extensions", marker = "python_full_version < '3.13' or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, + { name = "typing-extensions", marker = "python_full_version < '3.13'" }, { name = "yarl" }, ] sdist = { url = "https://files.pythonhosted.org/packages/6c/4c/bdccd81e9ee225b69c60e7766c9a5b05364f118f4d383713b89a682d772d/aiohttp-3.14.5.tar.gz", hash = "sha256:5558a7f5a05af9ecf744af91e5baefc436f93c9333e656c27ec253f9a6bbe178", size = 8078052, upload-time = "2026-10-11T01:05:12.408Z" } @@ -304,7 +304,7 @@ version = "1.4.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "frozenlist" }, - { name = "typing-extensions", marker = 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name = "smart-open" }, @@ -2762,11 +2902,11 @@ dependencies = [ { name = "tenacity" }, { name = "tensorboard" }, { name = "thrift" }, - { name = "torch", version = "2.12.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(sys_platform == 'darwin' and extra == 'extra-4-kumo-cpu') or (sys_platform == 'darwin' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests')" }, + { name = "torch", version = "2.12.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(sys_platform == 'darwin' and extra == 'extra-4-kumo-cpu') or (sys_platform == 'darwin' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, { name = "torch", version = "2.12.0", source = { registry = "https://pypi.org/simple" }, marker = "(extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 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marker = "(sys_platform != 'darwin' and extra == 'extra-4-kumo-cpu') or (sys_platform != 'darwin' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, { name = "torch", version = "2.12.0+cu130", source = { registry = "https://download.pytorch.org/whl/cu130" }, marker = "extra == 'extra-4-kumo-cu130' or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, - { name = "torch", version = "2.12.0+cu132", source = { registry = "https://download.pytorch.org/whl/cu132" }, marker = "extra == 'extra-4-kumo-cu132' or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cpu' and extra != 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, + { name = "torch", version = "2.12.0+cu132", source = { registry = "https://download.pytorch.org/whl/cu132" }, marker = "extra == 'extra-4-kumo-cu132' or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests')" }, { name = "types-aiobotocore", extra = ["s3"] }, { name = "typing-extensions" }, { name = "urllib3" }, @@ -2786,7 +2926,7 @@ cu130 = [ { name = "torch", version = "2.12.0+cu130", source = { registry = "https://download.pytorch.org/whl/cu130" } }, ] cu132 = [ - { name = "kumo-core", extra = ["faiss-gpu"], marker = "extra == 'extra-4-kumo-cu132' or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cpu' and extra != 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, + { name = "kumo-core", extra = ["faiss-gpu"], marker = "extra == 'extra-4-kumo-cu132' or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests')" }, { name = "torch", version = "2.12.0+cu132", source = { registry = "https://download.pytorch.org/whl/cu132" } }, ] data-platform = [ @@ -2803,6 +2943,7 @@ dev = [ { name = "flake8" }, { name = "isort" }, { name = "kubernetes-stubs" }, + { name = "mlflow" }, { name = "moto" }, { name = "packaging" }, { name = "pick" }, @@ -2881,6 +3022,7 @@ rest = [ test = [ { name = "category-encoders" }, { name = "coverage" }, + { name = "mlflow" }, { name = "moto" }, { name = "pytest" }, { name = "pytest-asyncio" }, @@ -2904,7 +3046,7 @@ tracing = [ [package.dev-dependencies] public-tests = [ - { name = "torch", version = "2.12.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(sys_platform == 'darwin' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests')" }, + { name = "torch", version = "2.12.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(sys_platform == 'darwin' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, { name = "torch", version = "2.12.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(sys_platform != 'darwin' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, ] @@ -2986,6 +3128,8 @@ requires-dist = [ { name = "markdown", marker = "extra == 'rest'", specifier = "==3.10" }, { name = "matplotlib", marker = "extra == 'drawing'", specifier = ">=3.10.5" }, { name = "matplotlib", marker = "extra == 'full'", specifier = ">=3.10.5" }, + { name = "mlflow", marker = "extra == 'dev'", specifier = ">=3.0,<4" }, + { name = "mlflow", marker = "extra == 'test'", specifier = ">=3.0,<4" }, { name = "moto", marker = "extra == 'dev'", specifier = "==4.2.14" }, { name = "moto", marker = "extra == 'test'", specifier = "==4.2.14" }, { name = "mypy-boto3-s3", specifier = "==1.42.94" }, @@ -3210,11 +3354,11 @@ dependencies = [ { name = "sqlglot" }, { name = "tabulate" }, { name = "tensorboard" }, - { name = "torch", version = "2.12.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(sys_platform == 'darwin' and extra == 'extra-4-kumo-cpu') or (sys_platform == 'darwin' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests')" }, + { name = "torch", version = "2.12.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(sys_platform == 'darwin' and extra == 'extra-4-kumo-cpu') or (sys_platform == 'darwin' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, { name = "torch", version = "2.12.0", source = { registry = "https://pypi.org/simple" }, marker = "(extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests') or (extra != 'extra-4-kumo-cpu' and extra != 'extra-4-kumo-cu130' and extra != 'extra-4-kumo-cu132' and extra != 'group-4-kumo-public-tests')" }, - { name = "torch", version = "2.12.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(sys_platform != 'darwin' and extra == 'extra-4-kumo-cpu') or (sys_platform != 'darwin' and extra != 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, + { name = "torch", version = "2.12.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(sys_platform != 'darwin' and extra == 'extra-4-kumo-cpu') or (sys_platform != 'darwin' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 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'group-4-kumo-public-tests')" }, + { name = "torch", version = "2.12.0+cu132", source = { registry = "https://download.pytorch.org/whl/cu132" }, marker = "extra == 'extra-4-kumo-cu132' or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests')" }, { name = "torch-geometric" }, { name = "torchmetrics" }, { name = "typing-extensions" }, @@ -3339,6 +3483,10 @@ databricks = [ gcs = [ { name = "kumo-gcs" }, ] +mlflow = [ + { name = "mlflow" }, + { name = "nvidia-ml-py" }, +] s3 = [ { name = "kumo-s3" }, ] @@ -3352,11 +3500,11 @@ test = [ { name = "numpy" }, { name = "pytest" }, { name = "pytest-mock" }, - { name = "torch", version = "2.12.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(sys_platform == 'darwin' and extra == 'extra-4-kumo-cpu') or (sys_platform == 'darwin' and extra == 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'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, + { name = "typing-extensions", marker = "(sys_platform == 'darwin' and extra == 'extra-4-kumo-cpu') or (sys_platform == 'darwin' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, ] wheels = [ { url = "https://download-r2.pytorch.org/whl/cpu/torch-2.12.0-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:10802fd383bbfed646212e765a72c37d2185205d4f26eb197a254e8ac7ddcb25", upload-time = "2026-05-12T16:20:07Z" }, @@ -7151,14 +7462,14 @@ resolution-markers = [ "python_full_version < '3.12' and sys_platform 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'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, - { name = "jinja2", marker = "(sys_platform != 'darwin' and extra == 'extra-4-kumo-cpu') or (sys_platform != 'darwin' and extra != 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, - { name = "networkx", version = "3.6.1", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version < '3.12' and sys_platform != 'darwin' and extra == 'extra-4-kumo-cpu') or (python_full_version < '3.12' and sys_platform != 'darwin' and extra != 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (python_full_version >= '3.12' and extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (python_full_version >= '3.12' and extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (python_full_version >= '3.12' and extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (python_full_version >= '3.12' and extra != 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests') or (sys_platform == 'darwin' and extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (sys_platform == 'darwin' and extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (sys_platform == 'darwin' and extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (sys_platform == 'darwin' and extra != 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests') or (extra != 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (extra != 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests')" }, - { name = "networkx", version = "3.7", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version >= '3.12' and sys_platform != 'darwin' and extra == 'extra-4-kumo-cpu') or (python_full_version >= '3.12' and sys_platform != 'darwin' and extra != 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (python_full_version < '3.12' and extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (python_full_version < '3.12' and extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (python_full_version < '3.12' and extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (python_full_version < '3.12' and extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (python_full_version < '3.12' and extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (python_full_version < '3.12' and extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests') or (sys_platform == 'darwin' and extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (sys_platform == 'darwin' and extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (sys_platform == 'darwin' and extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (sys_platform == 'darwin' and extra != 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests') or (extra != 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (extra != 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests')" }, - { name = "setuptools", marker = "(sys_platform != 'darwin' and extra == 'extra-4-kumo-cpu') or (sys_platform != 'darwin' and extra != 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, - { name = "sympy", marker = "(sys_platform != 'darwin' and extra == 'extra-4-kumo-cpu') or (sys_platform != 'darwin' and extra != 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, - { name = "typing-extensions", marker = "(sys_platform != 'darwin' and extra == 'extra-4-kumo-cpu') or (sys_platform != 'darwin' and extra != 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, + { name = "filelock", marker = "(sys_platform != 'darwin' and extra == 'extra-4-kumo-cpu') or (sys_platform != 'darwin' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, + { name = "fsspec", extra = ["http"], marker = "(sys_platform != 'darwin' and extra == 'extra-4-kumo-cpu') or (sys_platform != 'darwin' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, + { name = "jinja2", marker = "(sys_platform != 'darwin' and extra == 'extra-4-kumo-cpu') or (sys_platform != 'darwin' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, + { name = "networkx", version = "3.6.1", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version < '3.12' and sys_platform != 'darwin' and extra == 'extra-4-kumo-cpu') or (python_full_version < '3.12' and sys_platform != 'darwin' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, + { name = "networkx", version = "3.7", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version >= '3.12' and sys_platform != 'darwin' and extra == 'extra-4-kumo-cpu') or (python_full_version >= '3.12' and sys_platform != 'darwin' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, + { name = "setuptools", marker = "(sys_platform != 'darwin' and extra == 'extra-4-kumo-cpu') or (sys_platform != 'darwin' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, + { name = "sympy", marker = "(sys_platform != 'darwin' and extra == 'extra-4-kumo-cpu') or (sys_platform != 'darwin' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, + { name = "typing-extensions", marker = "(sys_platform != 'darwin' and extra == 'extra-4-kumo-cpu') or (sys_platform != 'darwin' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, ] wheels = [ { url = "https://download-r2.pytorch.org/whl/cpu/torch-2.12.0%2Bcpu-cp311-cp311-linux_s390x.whl", hash = "sha256:aaa9c1f5e8c518d7be1e3c3e1b090ca7d63b6e353a1abd6cfdaf902405093467", upload-time = "2026-05-12T23:16:01Z" }, @@ -7201,21 +7512,21 @@ resolution-markers = [ "python_full_version < '3.12'", ] dependencies = [ - { name = "cuda-bindings", marker = "(sys_platform == 'linux' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, - { name = "cuda-toolkit", version = "13.0.2", source = { registry = "https://pypi.org/simple" }, extra = ["cudart", "cufft", "cufile", "cupti", "curand", "cusolver", "cusparse", "nvjitlink", "nvrtc", "nvtx"], marker = "(sys_platform == 'linux' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, + { name = "cuda-bindings", marker = "(sys_platform == 'linux' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, + { name = "cuda-toolkit", version = "13.0.2", source = { registry = "https://pypi.org/simple" }, extra = ["cudart", "cufft", "cufile", "cupti", "curand", "cusolver", "cusparse", "nvjitlink", "nvrtc", "nvtx"], marker = "(sys_platform == 'linux' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, { name = "filelock", marker = "extra == 'extra-4-kumo-cu130' or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, { name = "fsspec", extra = ["http"], marker = "extra == 'extra-4-kumo-cu130' or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, { name = "jinja2", marker = "extra == 'extra-4-kumo-cu130' or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, { name = "networkx", version = "3.6.1", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version < '3.12' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 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'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, + { name = "triton", marker = "(sys_platform == 'linux' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, { name = "typing-extensions", marker = "extra == 'extra-4-kumo-cu130' or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 'group-4-kumo-public-tests')" }, ] wheels = [ @@ -7250,21 +7561,21 @@ 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(extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests')" }, + { name = "jinja2", marker = "extra == 'extra-4-kumo-cu132' or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests')" }, { name = "networkx", version = "3.6.1", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version < '3.12' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu130') or (extra == 'extra-4-kumo-cpu' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cpu' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu130' and extra == 'extra-4-kumo-cu132') or (extra == 'extra-4-kumo-cu130' and extra == 'group-4-kumo-public-tests') or (extra == 'extra-4-kumo-cu132' and extra == 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17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 00:05:13 +0000 Subject: [PATCH 084/123] Move tracking names into core run records; thin MLflow adapter MlflowTracking computed the run layout itself (tag names, plan flattening, query hash, trial metric names), so a second tracker would have duplicated and drifted from it. Core now owns the mapping: run_record() and trial_record() build platform-neutral RunRecords from FitContext, events and the result; Tracking is the documented extension point (trial_logger and capabilities optional); TrackingSession fans out to a sequence of trackers, each isolated, applies the rank-0 rule, and adds the attempt to epoch events from the latest trial_started. MlflowTracking only translates records to MLflow calls and keeps MLflow's param limits as a documented filter. kumo-core accepts a list of extra Lightning loggers. Trial runs gain kumo.run_id and kumo.parent_run tags; no other name changes. Verified: new test_tracking_contract.py replays a recorded two-trial fit (one OOM attempt) through TrackingSession into MlflowTracking on a sqlite store and compares the stored runs with run_record/trial_record, allowing only declared capability gaps; test_mlflow_tracking.py, test_fit_events.py, test_optional_imports.py and kumo-core test_training.py pass. Co-Authored-By: Claude Opus 5.5 --- .../src/kumo_core/automl/auto_trainer.py | 3 +- .../kumo-core/src/kumo_core/train/trainer.py | 4 +- packages/kumo-core/tests/test_training.py | 14 +- packages/kumo-engine/README.md | 62 +++ packages/kumo-engine/kumo/engine/__init__.py | 13 +- packages/kumo-engine/kumo/engine/_tracking.py | 273 +++++++++++-- .../kumo/engine/integrations/mlflow.py | 180 ++++----- .../kumo/engine/trainer/trainer.py | 12 +- .../kumo-engine/test/test_mlflow_tracking.py | 48 ++- .../test/test_tracking_contract.py | 370 ++++++++++++++++++ 10 files changed, 824 insertions(+), 155 deletions(-) create mode 100644 packages/kumo-engine/test/test_tracking_contract.py diff --git a/packages/kumo-core/src/kumo_core/automl/auto_trainer.py b/packages/kumo-core/src/kumo_core/automl/auto_trainer.py index 3615abb10..dd8b2c707 100644 --- a/packages/kumo-core/src/kumo_core/automl/auto_trainer.py +++ b/packages/kumo-core/src/kumo_core/automl/auto_trainer.py @@ -211,7 +211,8 @@ class AutoTrainer: load/save :class:`TrainStatus`. If ``None``, the runtime supplies its default. trial_logger: Called with ``(trial, attempt)`` for each search trial; - a returned Lightning logger also receives that trial's metrics. + a returned Lightning logger (or list of them) also receives that + trial's metrics. """ def __init__( self, diff --git a/packages/kumo-core/src/kumo_core/train/trainer.py b/packages/kumo-core/src/kumo_core/train/trainer.py index 0c5589912..ffa96d85b 100644 --- a/packages/kumo-core/src/kumo_core/train/trainer.py +++ b/packages/kumo-core/src/kumo_core/train/trainer.py @@ -1441,7 +1441,9 @@ def create_pl_trainer(self): sub_dir='tensorboard', ) extra_logger = self.kwargs.pop("logger", None) - if extra_logger is not None: + if isinstance(extra_logger, (list, tuple)): + pl_logger = [pl_logger, *extra_logger] + elif extra_logger is not None: pl_logger = [pl_logger, extra_logger] plugins = self.kwargs.pop('plugins', None) diff --git a/packages/kumo-core/tests/test_training.py b/packages/kumo-core/tests/test_training.py index 49f6aeaf8..5c3de346e 100644 --- a/packages/kumo-core/tests/test_training.py +++ b/packages/kumo-core/tests/test_training.py @@ -529,9 +529,9 @@ def test_hosted_warm_start_rejects_forecasting_before_loading_trainer( Runtime()) == (None, None) -@pytest.mark.parametrize("extra_logger", [False, True]) -def test_pl_trainer_keeps_tensorboard_and_adds_a_supplied_logger( - tmp_path, extra_logger): +@pytest.mark.parametrize("supplied_loggers", [0, 1, 2]) +def test_pl_trainer_keeps_tensorboard_and_adds_supplied_loggers( + tmp_path, supplied_loggers): from pytorch_lightning.loggers import CSVLogger, TensorBoardLogger trainer = CoreTrainer.__new__(CoreTrainer) @@ -540,14 +540,16 @@ def test_pl_trainer_keeps_tensorboard_and_adds_a_supplied_logger( trainer.fit_mode = FitMode.fit trainer.tune_metric = "mae" trainer.max_epochs = 1 - supplied = CSVLogger(str(tmp_path)) + supplied = [CSVLogger(str(tmp_path)) for _ in range(supplied_loggers)] trainer.kwargs = {"accelerator": "cpu"} - if extra_logger: + if supplied_loggers == 1: + trainer.kwargs["logger"] = supplied[0] + elif supplied_loggers: trainer.kwargs["logger"] = supplied trainer.create_pl_trainer() loggers = trainer.pl_trainer.loggers assert isinstance(loggers[0], TensorBoardLogger) - assert loggers[1:] == ([supplied] if extra_logger else []) + assert loggers[1:] == supplied assert trainer.pl_trainer.log_dir == str(tmp_path / "tensorboard") diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index d4fc08abe..bb6283dcc 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -349,6 +349,68 @@ Custom forecasting rows must include precomputed `future_labels` for training, year-over-year features when enabled. Constructors preserve these sequences; they do not derive them from entity, target, and timestamp columns. +## Experiment tracking + +`fit(tracking=...)` records a fit in an experiment tracker: one run per fit, +one run per hyperparameter-search trial attempt. It is opt-in; tracking errors +are logged as warnings and never fail the fit. Only global rank 0 tracks. + +```python +from kumo.engine.integrations.mlflow import MlflowTracking # kumo-engine[mlflow] + +result = trainer.fit(training_table, snapshot=snapshot, + tracking=MlflowTracking(experiment_name="users-spend")) +``` + +MLflow runs go to `MLFLOW_TRACKING_URI`: on Databricks this is automatic; for +SageMaker managed MLflow set it to the tracking server ARN with the +`sagemaker-mlflow` plugin installed. With nothing configured MLflow writes a +local store in the working directory. + +Pass a sequence to record to several trackers; each is isolated from the +others. Any other system plugs in through the `kumo.engine.Tracking` protocol: + +- `start(context)`: a `FitContext` once the model plan is resolved; +- `on_event(event)`: every progress `Event` (trial events carry + `params["attempt"]`); +- `finish(result, error)`: once, when the fit returns or raises; +- optional `trial_logger(trial, attempt)`: a Lightning logger for one trial + attempt's step metrics, or `None`; +- optional `capabilities`: a `Capabilities` stating what the adapter records + (nested runs, system metrics, step metrics, artifacts, model links). + +Build what to log with `run_record(context, result, fit_ended_event)` and +`trial_record(context, trial_events)`, so every adapter uses the same +parameter, metric and tag names: + +```python +import json +from kumo.engine import run_record, trial_record + +class JsonTracking: + def start(self, context): + self.context, self.trials, self.ended = context, {}, None + print(json.dumps({"run": run_record(context).tags})) + + def on_event(self, event): + if event.trial is not None: + key = (event.trial, event.params["attempt"]) + self.trials.setdefault(key, []).append(event) + if event.name == "trial_ended": + record = trial_record(self.context, self.trials.pop(key)) + print(json.dumps({"trial": record.name, "params": record.params, + "metrics": record.metrics})) + elif event.name == "fit_ended": + self.ended = event + + def finish(self, result, error): + if result is not None: + record = run_record(self.context, result, self.ended) + print(json.dumps({"metrics": record.metrics})) + +trainer.fit(training_table, snapshot=snapshot, tracking=JsonTracking()) +``` + ## BigQuery staged ingestion BigQuery streams through the Storage Read API by default. For large tables, diff --git a/packages/kumo-engine/kumo/engine/__init__.py b/packages/kumo-engine/kumo/engine/__init__.py index fc246a704..d3f3ea6a8 100644 --- a/packages/kumo-engine/kumo/engine/__init__.py +++ b/packages/kumo-engine/kumo/engine/__init__.py @@ -26,7 +26,14 @@ from kumoapi.table import Column from kumo.engine._events import Event -from kumo.engine._tracking import FitContext, Tracking +from kumo.engine._tracking import ( + Capabilities, + FitContext, + RunRecord, + Tracking, + run_record, + trial_record, +) from kumo.engine._version import __version__ from kumo.engine.config import configure from kumo.engine.connector import ( @@ -64,6 +71,10 @@ "Event", "FitContext", "Tracking", + "Capabilities", + "RunRecord", + "run_record", + "trial_record", "EmbeddingModelStore", "GloVeVectors", "TokenEmbeddingModel", diff --git a/packages/kumo-engine/kumo/engine/_tracking.py b/packages/kumo-engine/kumo/engine/_tracking.py index f265f78ca..2c15b4be6 100644 --- a/packages/kumo-engine/kumo/engine/_tracking.py +++ b/packages/kumo-engine/kumo/engine/_tracking.py @@ -1,13 +1,33 @@ # SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. # All rights reserved. # SPDX-License-Identifier: Apache-2.0 -r"""Experiment tracking hooks for `Trainer.fit`.""" +r"""Experiment tracking for `Trainer.fit`: the platform-neutral run records +and the `Tracking` protocol that adapters implement.""" +import dataclasses +import hashlib +import json import logging -from dataclasses import dataclass -from typing import TYPE_CHECKING, Any, Callable, Mapping, Optional, Protocol +import os +from collections.abc import Sequence as SequenceABC +from dataclasses import dataclass, field +from typing import ( + TYPE_CHECKING, + Any, + Callable, + Dict, + Iterator, + List, + Mapping, + Optional, + Protocol, + Sequence, + Tuple, + Union, +) from kumo.engine._events import Event +from kumo.engine._version import __version__ if TYPE_CHECKING: from kumo.engine.trainer.trainer import TrainingResult @@ -27,58 +47,253 @@ class FitContext: model_plan: Mapping[str, Any] +@dataclass(frozen=True) +class RunRecord: + r"""One tracked run in platform-neutral names; adapters translate it. + + ``steps`` maps a metric to its ``(step, value)`` history (step = epoch), + ``links`` holds ids of models published from the run, and ``artifacts`` + maps file names to text content. + """ + + name: Optional[str] = None + params: Mapping[str, str] = field(default_factory=dict) + metrics: Mapping[str, float] = field(default_factory=dict) + steps: Mapping[str, Tuple[Tuple[int, float], + ...]] = field(default_factory=dict) + tags: Mapping[str, str] = field(default_factory=dict) + links: Mapping[str, str] = field(default_factory=dict) + artifacts: Mapping[str, str] = field(default_factory=dict) + + +@dataclass(frozen=True) +class Capabilities: + r"""What a tracking adapter records beyond params, metrics and tags. + + Args: + nested_runs: trial runs are children of the fit run on the platform. + Without it they are flat runs linked by the ``kumo.parent_run`` + tag. + system_metrics: host CPU/GPU/memory usage is sampled on the fit run. + step_metrics: per-epoch metric histories are recorded with steps. + artifacts: `RunRecord.artifacts` are stored as files of the run. + model_link: `RunRecord.links` are attached to the run. + """ + + nested_runs: bool = False + system_metrics: bool = False + step_metrics: bool = False + artifacts: bool = False + model_link: bool = False + + +def run_record(context: FitContext, result: Optional['TrainingResult'] = None, + ended: Optional[Event] = None) -> RunRecord: + r"""The fit run's record; metrics need `result` and the ``fit_ended`` + event.""" + metrics: Dict[str, float] = {} + links: Dict[str, str] = {} + if result is not None: + metrics.update(result.metrics) + if ended is not None and 'seconds' in ended.metrics: + metrics['seconds'] = ended.metrics['seconds'] + if result.published_model is not None: + links = { + 'model_name': result.published_model.name, + 'model_version': str(result.published_model.version), + 'model_uri': result.published_model.uri, + } + return RunRecord( + params={ + 'task_type': context.task_type, + 'snapshot_id': context.snapshot_id, + 'training_table_id': context.training_table_id, + 'query_sha256': hashlib.sha256(context.query.encode()).hexdigest(), + **{ + key: _param_value(value) + for key, value in _flatten(context.model_plan) + }, + }, + metrics=metrics, + tags={ + 'kumo.engine_version': __version__, + 'kumo.run_id': context.run_id, + 'kumo.snapshot_id': context.snapshot_id, + 'kumo.training_table_id': context.training_table_id, + }, + links=links, + artifacts={ + 'query.pql': + context.query, + 'model_plan.json': + json.dumps(dict(context.model_plan), indent=2, default=str), + }, + ) + + +def trial_record(context: FitContext, events: Sequence[Event]) -> RunRecord: + r"""One trial attempt's record from its events so far: ``trial_started``, + then ``epoch_ended`` and ``trial_ended``.""" + started = next(event for event in events if event.name == 'trial_started') + trial, attempt = started.trial, int(started.params['attempt']) + params: Dict[str, str] = { + key: _param_value(value) + for key, value in started.params.items() + } + metrics: Dict[str, float] = {} + steps: Dict[str, List[Tuple[int, float]]] = {} + for event in events: + if event.name == 'epoch_ended' and event.epoch is not None: + for name, value in event.metrics.items(): + steps.setdefault(name, []).append((event.epoch, value)) + elif event.name == 'trial_ended': + metrics.update({ + name if name == 'seconds' else f'best_{name}': value + for name, value in event.metrics.items() + }) + return RunRecord( + name=f'trial-{trial}-attempt-{attempt}', + params=params, + metrics=metrics, + steps={ + name: tuple(history) + for name, history in steps.items() + }, + tags={ + 'kumo.run_id': f'{context.run_id}-trial-{trial}-attempt-{attempt}', + 'kumo.parent_run': context.run_id, + }, + ) + + class Tracking(Protocol): - r"""Receives one `Trainer.fit`'s lifecycle. Errors are logged, never - raised into the fit.""" - def start(self, context: FitContext) -> None: - ... + r"""Records one `Trainer.fit` in an experiment tracker. - def trial_logger(self, trial: int, attempt: int) -> Optional[Any]: - r"""A Lightning logger that also receives one search-trial attempt's - metrics, or None.""" + Pass an implementation (or a sequence of them) as ``fit(tracking=...)``. + Hooks receive platform-neutral facts; build what to log with `run_record` + and `trial_record`. Only global rank 0 calls the hooks, and an error in + one is logged as a warning, never raised into the fit or other trackers. + + Optional members: + + - ``trial_logger(trial, attempt)``: a Lightning logger that also receives + that search-trial attempt's step metrics, or None. + - ``capabilities``: a `Capabilities` declaring what the adapter records. + """ + def start(self, context: FitContext) -> None: + r"""Called once the model plan is resolved.""" ... def on_event(self, event: Event) -> None: + r"""Called for every progress event. Trial events carry + ``params['attempt']``.""" ... def finish(self, result: Optional['TrainingResult'], error: Optional[BaseException]) -> None: + r"""Called once when the fit returns or raises.""" ... +Trackers = Union[Tracking, Sequence[Tracking], None] + + class TrackingSession: - r"""Calls one fit's `Tracking` hooks, best-effort.""" - def __init__(self, tracking: Optional[Tracking]) -> None: - self._tracking = tracking + r"""Calls one fit's trackers, each best-effort and isolated.""" + def __init__(self, tracking: Trackers) -> None: + if tracking is None or _rank() != 0: + trackers: List[Tracking] = [] + elif isinstance(tracking, SequenceABC): + trackers = list(tracking) + else: + trackers = [tracking] + self._trackers = trackers self._started = False + self._attempts: Dict[int, int] = {} @property def enabled(self) -> bool: - return self._tracking is not None + return bool(self._trackers) def start(self, context: Callable[[], FitContext]) -> None: - if self._tracking is None: + if not self._trackers: return self._started = True - self._call(lambda: self._tracking.start(context())) + try: + value = context() + except Exception: + logger.warning('Experiment tracking failed; the fit continues', + exc_info=True) + self._trackers = [] + return + for tracker in self._trackers: + _call(tracker.start, value) def trial_logger(self, trial: int, attempt: int) -> Optional[Any]: - return self._call(lambda: self._tracking.trial_logger(trial, attempt)) + loggers = [ + pl_logger for pl_logger in ( + _call(tracker.trial_logger, trial, attempt) + for tracker in self._trackers + if callable(getattr(tracker, 'trial_logger', None))) + if pl_logger is not None + ] + if len(loggers) > 1: + return loggers + return loggers[0] if loggers else None def on_event(self, event: Event) -> None: - if self._started: - self._call(lambda: self._tracking.on_event(event)) + if not self._started: + return + event = _with_attempt(event, self._attempts) + for tracker in self._trackers: + _call(tracker.on_event, event) def finish(self, result: Optional['TrainingResult'], error: Optional[BaseException]) -> None: - if self._started: - self._call(lambda: self._tracking.finish(result, error)) + if not self._started: + return + for tracker in self._trackers: + _call(tracker.finish, result, error) - @staticmethod - def _call(hook: Callable[[], Any]) -> Any: - try: - return hook() - except Exception: - logger.warning('Experiment tracking failed; the fit continues', - exc_info=True) - return None + +def _call(hook: Callable[..., Any], *args: Any) -> Any: + try: + return hook(*args) + except Exception: + logger.warning('Experiment tracking failed; the fit continues', + exc_info=True) + return None + + +def _with_attempt(event: Event, attempts: Dict[int, int]) -> Event: + if event.trial is None: + return event + if event.name == 'trial_started': + attempts[event.trial] = int(event.params.get('attempt', 1)) + if 'attempt' in event.params: + return event + return dataclasses.replace( + event, params={ + **event.params, 'attempt': attempts.get(event.trial, 1) + }) + + +def _rank() -> int: + for name in ('RANK', 'LOCAL_RANK'): + if os.environ.get(name, '').strip() not in ('', '0'): + return 1 + return 0 + + +def _flatten(value: Any, prefix: str = '') -> Iterator[Tuple[str, Any]]: + if isinstance(value, Mapping): + for key, item in value.items(): + yield from _flatten(item, f'{prefix}{key}.') + else: + yield prefix[:-1], value + + +def _param_value(value: Any) -> str: + if isinstance(value, str): + return value + return json.dumps(value, default=str) diff --git a/packages/kumo-engine/kumo/engine/integrations/mlflow.py b/packages/kumo-engine/kumo/engine/integrations/mlflow.py index a10eaa94f..369bcca4a 100644 --- a/packages/kumo-engine/kumo/engine/integrations/mlflow.py +++ b/packages/kumo-engine/kumo/engine/integrations/mlflow.py @@ -3,33 +3,44 @@ # SPDX-License-Identifier: Apache-2.0 r"""MLflow tracking for `Trainer.fit` (``pip install 'kumo-engine[mlflow]'``). -Each fit is one MLflow run: nested under the caller's active run if there is -one, else a new run in the current or named experiment. Each AutoML trial -attempt is a child run with its searched hyperparameters, per-epoch metrics -and summary metrics; the fit run gets the resolved model plan, the query and -the final metrics. Trial runs still open when the fit ends (the fit failed -mid-trial) are ended FAILED. MLflow autologging is suspended for the fit, so -it adds no runs of its own. Only global rank 0 logs. Any MLflow error is -logged once as a warning and stops tracking for the rest of that fit: only the -fit run is then ended, and open trial runs are left as they are. The fit -itself is unaffected. Concurrent fits in one process are not supported. +Translates the engine's run records (`kumo.engine.run_record`, +`kumo.engine.trial_record`) into MLflow runs. Each fit is one MLflow run: +nested under the caller's active run if there is one, else a new run in the +current or named experiment. Each AutoML trial attempt is a child run with its +searched hyperparameters, Lightning's per-step metrics (step = Lightning's +global step) and summary metrics; the fit run gets the resolved model plan, +the query and the final metrics. Trial runs still open when the fit ends (the +fit failed mid-trial) are ended FAILED. MLflow autologging is suspended for the +fit, so it adds no runs of its own. + +MLflow limits: params whose key MLflow rejects (characters outside +``[/\w.\- ]``, over 250 characters, or not a normalized relative path) or whose +value is over 6000 characters are not logged as params; the full plan is +always in the ``model_plan.json`` artifact. + +Any MLflow error is logged once as a warning and stops tracking for the rest of +that fit: only the fit run is then ended, and open trial runs are left as they +are. The fit itself is unaffected. Concurrent fits in one process are not +supported. """ -import hashlib -import json import logging -import os import posixpath import re import time from contextlib import ExitStack -from typing import Any, Callable, Dict, Iterator, Mapping, Optional, Tuple +from typing import Any, Callable, Dict, List, Mapping, Optional, Tuple from pytorch_lightning.loggers import MLFlowLogger from kumo.engine._events import Event -from kumo.engine._tracking import FitContext -from kumo.engine._version import __version__ +from kumo.engine._tracking import ( + Capabilities, + FitContext, + RunRecord, + run_record, + trial_record, +) from kumo.engine.connector._extras import import_provider logger = logging.getLogger(__name__) @@ -54,6 +65,10 @@ class MlflowTracking: Raises: ImportError: if mlflow is not installed. """ + + capabilities = Capabilities(nested_runs=True, system_metrics=True, + step_metrics=True, artifacts=True) + def __init__( self, experiment_name: Optional[str] = None, @@ -70,18 +85,19 @@ def __init__( def _reset(self) -> None: self._enabled = False + self._context: Optional[FitContext] = None self._client: Any = None self._parent: Optional[str] = None self._experiment_id: Optional[str] = None self._children: Dict[Tuple[int, int], str] = {} - self._seconds: Optional[float] = None + self._trials: Dict[Tuple[int, int], List[Event]] = {} + self._fit_ended: Optional[Event] = None self._guard = ExitStack() def start(self, context: FitContext) -> None: self._reset() - if _rank() != 0: - return self._enabled = True + self._context = context try: autologging = import_provider('mlflow.utils.autologging_utils', 'mlflow') @@ -93,30 +109,30 @@ def start(self, context: FitContext) -> None: logger.warning( 'Could not suspend MLflow autologging; it may log the ' 'internal trial fits as extra runs', exc_info=True) - self._safe(self._start_parent, context) + self._safe(self._start_parent, run_record(context)) def trial_logger(self, trial: int, attempt: int) -> Optional[Any]: return self._safe(self._trial_logger, trial, attempt) def on_event(self, event: Event) -> None: - if event.trial is not None: - attempt = int(event.params.get('attempt', 1)) + if event.trial is not None and self._context is not None: + key = (event.trial, int(event.params['attempt'])) + events = self._trials.setdefault(key, []) + events.append(event) if event.name == 'trial_started': - self._safe(self._log_params, - self._safe(self._child, event.trial, attempt), - event.params) + self._safe(self._start_trial, key, + trial_record(self._context, events)) elif event.name == 'trial_ended': - self._safe(self._end_trial, event.trial, attempt, event) + self._safe(self._end_trial, key, + trial_record(self._context, events), event) elif event.name == 'fit_ended': - self._seconds = event.metrics.get('seconds') + self._fit_ended = event def finish(self, result: Any, error: Optional[BaseException]) -> None: try: - if result is not None: - metrics = dict(result.metrics) - if self._seconds is not None: - metrics['seconds'] = self._seconds - self._safe(self._log_metrics, self._parent, metrics) + if result is not None and self._context is not None: + record = run_record(self._context, result, self._fit_ended) + self._safe(self._log_metrics, self._parent, record.metrics) status = 'FINISHED' if error is None else 'FAILED' if self._enabled: for run_id in self._children.values(): @@ -131,7 +147,7 @@ def finish(self, result: Any, error: Optional[BaseException]) -> None: self._guard.close() self._reset() - def _start_parent(self, context: FitContext) -> None: + def _start_parent(self, record: RunRecord) -> None: mlflow = self._mlflow self._client = mlflow.MlflowClient() experiment_id = None @@ -146,69 +162,60 @@ def _start_parent(self, context: FitContext) -> None: run_name=self.run_name, nested=mlflow.active_run() is not None, tags={ - 'kumo.engine_version': __version__, - 'kumo.run_id': context.run_id, - 'kumo.snapshot_id': context.snapshot_id, - 'kumo.training_table_id': context.training_table_id, - **self.tags, + **record.tags, + **self.tags }, log_system_metrics=self.log_system_metrics, ) self._parent = run.info.run_id self._experiment_id = run.info.experiment_id - self._log_params( - self._parent, { - 'task_type': context.task_type, - 'snapshot_id': context.snapshot_id, - 'training_table_id': context.training_table_id, - 'query_sha256': hashlib.sha256( - context.query.encode()).hexdigest(), - **dict(_flatten(context.model_plan)), - }) - self._client.log_text(self._parent, context.query, 'query.pql') - self._client.log_dict(self._parent, dict(context.model_plan), - 'model_plan.json') - - def _child(self, trial: int, attempt: int) -> str: - key = (trial, attempt) + self._log_params(self._parent, record.params) + for name, text in record.artifacts.items(): + self._client.log_text(self._parent, text, name) + + def _start_trial(self, key: Tuple[int, int], record: RunRecord) -> None: + self._log_params(self._child(key, record), record.params) + + def _child(self, key: Tuple[int, int], record: RunRecord) -> str: if key not in self._children: run = self._client.create_run( self._experiment_id, - run_name=f'trial-{trial}-attempt-{attempt}', - tags={'mlflow.parentRunId': self._parent}, + run_name=record.name, + tags={ + **record.tags, 'mlflow.parentRunId': self._parent + }, ) self._children[key] = run.info.run_id return self._children[key] - def _trial_logger(self, trial: int, attempt: int) -> '_KumoMLFlowLogger': + def _trial_logger(self, trial: int, + attempt: int) -> Optional['_KumoMLFlowLogger']: + run_id = self._children.get((trial, attempt)) + if run_id is None: + return None trial_logger = _KumoMLFlowLogger( - self, run_id=self._child(trial, attempt), - tracking_uri=self._mlflow.get_tracking_uri(), log_model=False) + self, run_id=run_id, tracking_uri=self._mlflow.get_tracking_uri(), + log_model=False) # Lightning resolves these lazily, outside our error handling. trial_logger.experiment trial_logger.version return trial_logger - def _end_trial(self, trial: int, attempt: int, event: Event) -> None: - run_id = self._child(trial, attempt) - self._log_metrics( - run_id, { - name if name == 'seconds' else f'best_{name}': value - for name, value in event.metrics.items() - }) + def _end_trial(self, key: Tuple[int, int], record: RunRecord, + event: Event) -> None: + run_id = self._children.pop(key) + del self._trials[key] + self._log_metrics(run_id, record.metrics) succeeded = event.params.get('status') == 'succeeded' self._client.set_terminated(run_id, 'FINISHED' if succeeded else 'FAILED') - del self._children[(trial, attempt)] - def _log_params(self, run_id: str, params: Mapping[str, Any]) -> None: + def _log_params(self, run_id: str, params: Mapping[str, str]) -> None: entities = import_provider('mlflow.entities', 'mlflow') self._client.log_batch( run_id, params=[ entities.Param(key, value) - for key, value in ((key, _param_value(value)) - for key, value in params.items()) - if _valid_key(key) and len(value) <= _MAX_PARAM_VALUE + for key, value in _mlflow_params(params).items() ]) def _log_metrics(self, run_id: Optional[str], @@ -255,31 +262,14 @@ def finalize(self, status: str = 'success') -> None: pass -def _rank() -> int: - for name in ('RANK', 'LOCAL_RANK'): - value = os.environ.get(name, '') - if value.strip() not in ('', '0'): - return 1 - return 0 - - -def _flatten(value: Any, prefix: str = '') -> Iterator[Tuple[str, Any]]: - if isinstance(value, Mapping): - for key, item in value.items(): - yield from _flatten(item, f'{prefix}{key}.') - else: - yield prefix[:-1], value - - -def _valid_key(key: str) -> bool: - return (len(key) <= _MAX_PARAM_KEY and _PARAM_KEY.fullmatch(key) is not None - and posixpath.normpath(key) == key and not key.startswith('/')) - - -def _param_value(value: Any) -> str: - if isinstance(value, str): - return value - return json.dumps(value, default=str) +def _mlflow_params(params: Mapping[str, str]) -> Dict[str, str]: + return { + key: value + for key, value in params.items() + if len(key) <= _MAX_PARAM_KEY and _PARAM_KEY.fullmatch(key) is not None + and posixpath.normpath(key) == key and not key.startswith('/') + and len(value) <= _MAX_PARAM_VALUE + } def _quietly(function: Callable[..., Any], *args: Any) -> None: diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index 2b1ad24cf..07ab46fc7 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -46,7 +46,7 @@ from kumo.engine._events import Event, EventEmitter, query_sha256 from kumo.engine._manifest import BundleProvenance from kumo.engine._scratch import new_run_id, trainer_scratch_dir -from kumo.engine._tracking import FitContext, Tracking, TrackingSession +from kumo.engine._tracking import FitContext, Trackers, TrackingSession from kumo.engine.connector.base import Connector from kumo.engine.connector.source_table import SourceTable from kumo.engine.graph import GraphSnapshot @@ -293,7 +293,7 @@ def fit( export_config: Optional[ModelOutputConfig] = None, warm_start: Optional[Self] = None, callbacks: Sequence[Callable[[Event], None]] = (), - tracking: Optional[Tracking] = None, + tracking: Trackers = None, ) -> TrainingResult: r"""Train a model against `train_table`. @@ -321,9 +321,11 @@ def fit( match. Forecasting warm starts are unsupported. callbacks: called with each progress `Event`; a callback that raises is logged and not called again. - tracking: records this fit in an experiment tracker, e.g. - `kumo.engine.integrations.mlflow.MlflowTracking`. Tracking - errors are logged as warnings and never fail the fit. + tracking: records this fit in experiment trackers: one + `kumo.engine.Tracking` (e.g. + `kumo.engine.integrations.mlflow.MlflowTracking`) or a + sequence of them. Tracking errors are logged as warnings and + never fail the fit or the other trackers. """ if export_config is not None and not callable( getattr(export_config.connector.sink_backend, 'publish_model', diff --git a/packages/kumo-engine/test/test_mlflow_tracking.py b/packages/kumo-engine/test/test_mlflow_tracking.py index 798e3560e..bac054330 100644 --- a/packages/kumo-engine/test/test_mlflow_tracking.py +++ b/packages/kumo-engine/test/test_mlflow_tracking.py @@ -139,6 +139,10 @@ def test_fit_logs_a_run_per_fit_and_per_trial(table_and_snapshot, caplog): for child in children: assert child.info.status == 'FINISHED' assert child.data.tags['mlflow.parentRunId'] == parent.info.run_id + assert child.data.tags['kumo.parent_run'] == ( + parent.data.tags['kumo.run_id']) + assert child.data.tags['kumo.run_id'] == ( + f"{parent.data.tags['kumo.run_id']}-{child.info.run_name}") assert child.data.params['attempt'] == '1' assert float(child.data.params['optimization.base_lr']) in (0.01, 0.001) assert {'best_val_mae', 'seconds', 'epoch'} <= set(child.data.metrics) @@ -146,20 +150,39 @@ def test_fit_logs_a_run_per_fit_and_per_trial(table_and_snapshot, caplog): assert {0, 1} <= {metric.value for metric in epochs} -def test_fit_nests_under_the_active_run(table_and_snapshot): +def test_fit_nests_under_the_active_run_beside_another_tracker( + table_and_snapshot, tmp_path): from mlflow.utils import autologging_utils + from pytorch_lightning.loggers import CSVLogger from kumo.engine.integrations.mlflow import MlflowTracking + class CsvTracking: + def __init__(self): + self.events = [] + + def start(self, context): + pass + + def on_event(self, event): + self.events.append(event) + + def finish(self, result, error): + pass + + def trial_logger(self, trial, attempt): + return CSVLogger(str(tmp_path / 'csv'), name=f'trial-{trial}') + table, snapshot = table_and_snapshot client = mlflow.MlflowClient() plan = _plan() plan.training_job.num_experiments = 1 + csv = CsvTracking() with mlflow.start_run() as outer, \ autologging_utils.disable_autologging(): kumo.Trainer(plan).fit( table, snapshot=snapshot, - tracking=MlflowTracking(log_system_metrics=False)) + tracking=[MlflowTracking(log_system_metrics=False), csv]) assert mlflow.active_run().info.run_id == outer.info.run_id assert autologging_utils._AUTOLOGGING_GLOBALLY_DISABLED is True @@ -174,6 +197,12 @@ def test_fit_nests_under_the_active_run(table_and_snapshot): ] assert len(runs) == 3 assert parent.info.status == child.info.status == 'FINISHED' + assert 'val_mae' in client.get_run(child.info.run_id).data.metrics + assert list((tmp_path / 'csv' / 'trial-1').rglob('metrics.csv')) + assert [ + event.params['attempt'] for event in csv.events + if event.name == 'epoch_ended' + ] == [1, 1] def test_failed_fit_marks_the_run_failed(table_and_snapshot, monkeypatch): @@ -267,18 +296,3 @@ def down(self, run_id): assert caplog.text.count('MLflow tracking failed') == 1 assert 'Trial failed' not in caplog.text assert mlflow.active_run() is None - - -def test_only_rank_zero_logs(tracking_uri, monkeypatch): - from kumo.engine import FitContext - from kumo.engine.integrations.mlflow import MlflowTracking - - monkeypatch.setenv('LOCAL_RANK', '1') - tracking = MlflowTracking() - tracking.start( - FitContext(run_id='r', task_type='regression', snapshot_id='s', - training_table_id='t', query=QUERY, model_plan={})) - - assert tracking.trial_logger(1, 1) is None - tracking.finish(None, None) - assert _runs(mlflow.MlflowClient()) == [] diff --git a/packages/kumo-engine/test/test_tracking_contract.py b/packages/kumo-engine/test/test_tracking_contract.py new file mode 100644 index 000000000..18397ff9d --- /dev/null +++ b/packages/kumo-engine/test/test_tracking_contract.py @@ -0,0 +1,370 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. +# All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +"""Every tracking adapter records the same run records. + +A recorded fake fit (fixed context, events and result) is replayed through +`TrackingSession` into an adapter; what the adapter stored is read back and +compared with `run_record`/`trial_record`, allowing only the gaps its +`Capabilities` declare and the params its platform limits drop. A new adapter +is one more `adapter` fixture param. +""" + +import json +from dataclasses import dataclass, field +from types import SimpleNamespace +from typing import Any, Callable, Dict, List, Mapping, Optional, Tuple + +import pytest +from kumoapi.plugin import PublishedModel + +from kumo.engine import ( + Capabilities, + Event, + FitContext, + RunRecord, + run_record, + trial_record, +) +from kumo.engine._tracking import TrackingSession + +RUN = 'trainer-fit-1' +QUERY = 'PREDICT ents.Y FOR EACH ents.ID' +CONTEXT = FitContext( + run_id=RUN, task_type='regression', snapshot_id='snap@1', + training_table_id='tt-1', query=QUERY, model_plan={ + 'optimization': { + 'base_lr': [0.01, 0.001], + 'max_epochs': 2 + }, + 'training_job': { + 'tune_metric': 'mae' + }, + 'column_processing': { + 'encoder_overrides': { + 'ents.amount ($)': 'numerical' + } + }, + }) + + +def _event(name, trial=None, epoch=None, metrics=None, **params): + return Event(name=name, run_id=RUN, time=0.0, trial=trial, epoch=epoch, + metrics=metrics or {}, params=params) + + +def _epochs(trial, *values): + return [ + _event('epoch_ended', trial, epoch, { + 'train_loss': loss, + 'val_mae': mae + }) for epoch, (loss, mae) in enumerate(values, 1) + ] + + +# Two trials of two epochs; trial 2's first attempt runs out of memory. Epoch +# events carry no attempt, as kumo-core emits them. +EVENTS = [ + _event('trial_started', 1, attempt=1, **{'optimization.base_lr': 0.01}), + *_epochs(1, (0.5, 0.4), (0.3, 0.35)), + _event('trial_ended', 1, metrics={ + 'val_mae': 0.35, + 'seconds': 3.0 + }, status='succeeded', attempt=1), + _event('trial_started', 2, attempt=1, **{'optimization.base_lr': 0.001}), + _event('trial_ended', 2, status='failed', attempt=1, + error='OutOfMemoryError'), + _event('trial_started', 2, attempt=2, **{ + 'optimization.base_lr': 0.001, + 'optimization.batch_size': 256 + }), + *_epochs(2, (0.6, 0.5), (0.4, 0.3)), + _event('trial_ended', 2, metrics={ + 'val_mae': 0.3, + 'seconds': 4.0 + }, status='succeeded', attempt=2), + _event('fit_ended', metrics={ + 'val_mae': 0.3, + 'test_mae': 0.32, + 'seconds': 9.0 + }, status='succeeded'), +] +RESULT = SimpleNamespace( + metrics={ + 'val_mae': 0.3, + 'test_mae': 0.32 + }, published_model=PublishedModel(name='ents-model', version='3', + uri='models:/ents-model/3')) + + +class _Recorder: + def __init__(self): + self.calls: List[Tuple[str, Any]] = [] + + def start(self, context): + self.calls.append(('start', context)) + + def on_event(self, event): + self.calls.append(('on_event', event)) + + def finish(self, result, error): + self.calls.append(('finish', result)) + + @property + def events(self): + return [value for hook, value in self.calls if hook == 'on_event'] + + +class _Raising: + def _raise(self, *args): + raise RuntimeError('tracker down') + + start = on_event = trial_logger = finish = _raise + + +def replay(trackers) -> List[Event]: + r"""Feeds the recorded fit to `trackers` as `Trainer.fit` would, driving + their trial loggers like Lightning; returns the events trackers saw.""" + recorder = _Recorder() + session = TrackingSession([recorder, *trackers]) + session.start(lambda: CONTEXT) + loggers: Any = None + for event in EVENTS: + session.on_event(event) + if event.name == 'trial_started': + loggers = session.trial_logger(event.trial, event.params['attempt']) + elif event.name == 'epoch_ended' and loggers is not None: + for pl_logger in (loggers + if isinstance(loggers, list) else [loggers]): + pl_logger.log_metrics(dict(event.metrics), step=event.epoch) + session.finish(RESULT, None) + return recorder.events + + +def expected_records(events: List[Event]) -> Dict[str, RunRecord]: + trials: Dict[Tuple[int, int], List[Event]] = {} + for event in events: + if event.trial is not None: + trials.setdefault((event.trial, event.params['attempt']), + []).append(event) + ended = next(event for event in events if event.name == 'fit_ended') + records = [ + run_record(CONTEXT, RESULT, ended), + *(trial_record(CONTEXT, group) for group in trials.values()) + ] + return {record.tags['kumo.run_id']: record for record in records} + + +@dataclass +class Observed: + r"""One run as an adapter stored it, keyed by its ``kumo.run_id``.""" + + name: Optional[str] + params: Mapping[str, str] + metrics: Mapping[str, float] + steps: Mapping[str, Tuple[float, ...]] + tags: Mapping[str, str] + parent: Optional[str] = None + links: Mapping[str, str] = field(default_factory=dict) + artifacts: Mapping[str, str] = field(default_factory=dict) + + +@dataclass(frozen=True) +class Adapter: + make: Callable[[], Any] + observe: Callable[[], Dict[str, Observed]] + kept_params: Callable[[Mapping[str, str]], Mapping[str, str]] = dict + + +def gaps( + expected: Dict[str, RunRecord], observed: Dict[str, Observed], + capabilities: Capabilities, + kept_params: Callable[[Mapping[str, str]], Mapping[str, + str]]) -> List[str]: + r"""Differences not explained by `capabilities` or the platform limits.""" + found = [] + if set(observed) != set(expected): + return [f'runs {sorted(observed)} != {sorted(expected)}'] + for run_id, record in expected.items(): + seen = observed[run_id] + + def differ(what, have, want): + if have != want: + found.append(f'{run_id} {what}: {have!r} != {want!r}') + + if record.name is not None: + differ('name', seen.name, record.name) + differ('params', dict(seen.params), dict(kept_params(record.params))) + differ('metrics', {k: seen.metrics.get(k) + for k in record.metrics}, dict(record.metrics)) + extra = set(seen.metrics) - set(record.metrics) - set(record.steps) + if extra and not (capabilities.system_metrics + and 'kumo.parent_run' not in record.tags): + found.append(f'{run_id} extra metrics {sorted(extra)}') + if capabilities.step_metrics: + differ('steps', {k: seen.steps.get(k) + for k in record.steps}, { + k: tuple(v for _, v in history) + for k, history in record.steps.items() + }) + differ('tags', {k: seen.tags.get(k) + for k in record.tags}, dict(record.tags)) + differ('kumo tags', + sorted(k for k in seen.tags if k.startswith('kumo.')), + sorted(record.tags)) + if capabilities.nested_runs: + differ('parent', seen.parent, record.tags.get('kumo.parent_run')) + if capabilities.model_link: + differ('links', dict(seen.links), dict(record.links)) + if capabilities.artifacts: + differ('artifacts', dict(seen.artifacts), dict(record.artifacts)) + return found + + +@pytest.fixture +def mlflow_adapter(tmp_path, monkeypatch): + mlflow = pytest.importorskip('mlflow') + from kumo.engine.integrations.mlflow import MlflowTracking, _mlflow_params + + monkeypatch.chdir(tmp_path) + previous = mlflow.get_tracking_uri() + mlflow.set_tracking_uri(f'sqlite:///{tmp_path / "mlflow.db"}') + + def observe(): + client = mlflow.MlflowClient() + runs = client.search_runs( + [e.experiment_id for e in client.search_experiments()]) + kumo_ids = {r.info.run_id: r.data.tags['kumo.run_id'] for r in runs} + observed = {} + for run in runs: + run_id = run.info.run_id + observed[kumo_ids[run_id]] = Observed( + name=run.info.run_name, params=run.data.params, + metrics=run.data.metrics, steps={ + key: + tuple( + m.value + for m in sorted(client.get_metric_history(run_id, key), + key=lambda m: (m.step, m.timestamp))) + for key in run.data.metrics + }, tags=run.data.tags, + parent=kumo_ids.get(run.data.tags.get('mlflow.parentRunId')), + artifacts={ + a.path: + mlflow.artifacts.load_text( + f'{run.info.artifact_uri}/{a.path}') + for a in client.list_artifacts(run_id) + }) + return observed + + try: + yield Adapter(make=lambda: MlflowTracking(log_system_metrics=False), + observe=observe, kept_params=_mlflow_params) + finally: + while mlflow.active_run() is not None: + mlflow.end_run() + mlflow.set_tracking_uri(previous) + + +@pytest.fixture(params=['mlflow']) +def adapter(request) -> Adapter: + return request.getfixturevalue(f'{request.param}_adapter') + + +def test_records_of_the_recorded_fit(): + records = expected_records(replay([])) + + fit = records[RUN] + assert fit.tags == { + 'kumo.engine_version': fit.tags['kumo.engine_version'], + 'kumo.run_id': RUN, + 'kumo.snapshot_id': 'snap@1', + 'kumo.training_table_id': 'tt-1', + } + assert { + key: fit.params[key] + for key in ('task_type', 'snapshot_id', 'training_table_id', + 'optimization.base_lr', + 'column_processing.encoder_overrides.ents.amount ($)') + } == { + 'task_type': 'regression', + 'snapshot_id': 'snap@1', + 'training_table_id': 'tt-1', + 'optimization.base_lr': '[0.01, 0.001]', + 'column_processing.encoder_overrides.ents.amount ($)': 'numerical', + } + assert len(fit.params['query_sha256']) == 64 + assert fit.metrics == {'val_mae': 0.3, 'test_mae': 0.32, 'seconds': 9.0} + assert fit.links == { + 'model_name': 'ents-model', + 'model_version': '3', + 'model_uri': 'models:/ents-model/3' + } + assert fit.artifacts['query.pql'] == QUERY + assert json.loads(fit.artifacts['model_plan.json']) == CONTEXT.model_plan + + oom = records[f'{RUN}-trial-2-attempt-1'] + assert oom == RunRecord( + name='trial-2-attempt-1', params={ + 'optimization.base_lr': '0.001', + 'attempt': '1' + }, tags={ + 'kumo.run_id': f'{RUN}-trial-2-attempt-1', + 'kumo.parent_run': RUN + }) + retry = records[f'{RUN}-trial-2-attempt-2'] + assert retry.params['attempt'] == '2' + assert retry.metrics == {'best_val_mae': 0.3, 'seconds': 4.0} + assert retry.steps == { + 'train_loss': ((1, 0.6), (2, 0.4)), + 'val_mae': ((1, 0.5), (2, 0.3)) + } + assert len(records) == 4 + + +def test_adapter_records_the_same_runs(adapter): + tracker = adapter.make() + events = replay([tracker]) + + assert gaps(expected_records(events), adapter.observe(), + tracker.capabilities, adapter.kept_params) == [] + + +def test_a_failing_tracker_does_not_affect_others(adapter, caplog): + tracker = adapter.make() + events = replay([_Raising(), tracker]) + + assert gaps(expected_records(events), adapter.observe(), + tracker.capabilities, adapter.kept_params) == [] + assert caplog.text.count('Experiment tracking failed') == 5 + len(EVENTS) + + +def test_session_merges_trial_loggers_and_skips_trackers_without_one(): + class WithLogger(_Recorder): + def __init__(self, pl_logger): + super().__init__() + self.pl_logger = pl_logger + + def trial_logger(self, trial, attempt): + return self.pl_logger + + one, two = object(), object() + session = TrackingSession(_Recorder()) + assert session.trial_logger(1, 1) is None + session = TrackingSession([_Recorder(), WithLogger(one), WithLogger(None)]) + assert session.trial_logger(1, 1) is one + session = TrackingSession([WithLogger(one), WithLogger(two)]) + assert session.trial_logger(1, 1) == [one, two] + + +def test_only_rank_zero_tracks(monkeypatch): + monkeypatch.setenv('LOCAL_RANK', '1') + recorder = _Recorder() + session = TrackingSession(recorder) + + session.start(lambda: CONTEXT) + session.on_event(EVENTS[0]) + session.finish(RESULT, None) + + assert not session.enabled + assert recorder.calls == [] From 8473c1d1ce9adcb7201fd7b5e529eb3c45b7ca6e Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 00:13:44 +0000 Subject: [PATCH 085/123] Keep record building best-effort; declare MLflow's Lightning step axis Review follow-ups. MlflowTracking built run and trial records outside its error guard, so a failure there could leave the fit run open; records are now built inside it. MLflow's per-epoch metrics come from Lightning with step = global step, not the record's step = epoch, so MlflowTracking no longer claims step_metrics; the contract replay stops feeding trial loggers by hand and compares (step, value) histories for adapters that do claim it. The session always hands kumo-core a list of trial loggers, guards the attempt lookup, and run_record's event argument is fit_ended. Verified: test_tracking_contract.py, test_mlflow_tracking.py, test_fit_events.py, test_optional_imports.py (51) and kumo-core test_training.py (26) pass; flake8, isort clean. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/README.md | 4 +- packages/kumo-engine/kumo/engine/_tracking.py | 19 +++--- .../kumo/engine/integrations/mlflow.py | 34 ++++++----- .../kumo/engine/trainer/trainer.py | 4 +- .../test/test_tracking_contract.py | 58 ++++++++++++------- 5 files changed, 73 insertions(+), 46 deletions(-) diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index bb6283dcc..122804a77 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -367,7 +367,7 @@ SageMaker managed MLflow set it to the tracking server ARN with the `sagemaker-mlflow` plugin installed. With nothing configured MLflow writes a local store in the working directory. -Pass a sequence to record to several trackers; each is isolated from the +Pass a list to record to several trackers; each is isolated from the others. Any other system plugs in through the `kumo.engine.Tracking` protocol: - `start(context)`: a `FitContext` once the model plan is resolved; @@ -379,7 +379,7 @@ others. Any other system plugs in through the `kumo.engine.Tracking` protocol: - optional `capabilities`: a `Capabilities` stating what the adapter records (nested runs, system metrics, step metrics, artifacts, model links). -Build what to log with `run_record(context, result, fit_ended_event)` and +Build what to log with `run_record(context, result, fit_ended)` and `trial_record(context, trial_events)`, so every adapter uses the same parameter, metric and tag names: diff --git a/packages/kumo-engine/kumo/engine/_tracking.py b/packages/kumo-engine/kumo/engine/_tracking.py index 2c15b4be6..809950b81 100644 --- a/packages/kumo-engine/kumo/engine/_tracking.py +++ b/packages/kumo-engine/kumo/engine/_tracking.py @@ -75,7 +75,8 @@ class Capabilities: Without it they are flat runs linked by the ``kumo.parent_run`` tag. system_metrics: host CPU/GPU/memory usage is sampled on the fit run. - step_metrics: per-epoch metric histories are recorded with steps. + step_metrics: `RunRecord.steps` histories are recorded with step = + epoch. artifacts: `RunRecord.artifacts` are stored as files of the run. model_link: `RunRecord.links` are attached to the run. """ @@ -88,15 +89,15 @@ class Capabilities: def run_record(context: FitContext, result: Optional['TrainingResult'] = None, - ended: Optional[Event] = None) -> RunRecord: + fit_ended: Optional[Event] = None) -> RunRecord: r"""The fit run's record; metrics need `result` and the ``fit_ended`` event.""" metrics: Dict[str, float] = {} links: Dict[str, str] = {} if result is not None: metrics.update(result.metrics) - if ended is not None and 'seconds' in ended.metrics: - metrics['seconds'] = ended.metrics['seconds'] + if fit_ended is not None and 'seconds' in fit_ended.metrics: + metrics['seconds'] = fit_ended.metrics['seconds'] if result.published_model is not None: links = { 'model_name': result.published_model.name, @@ -237,14 +238,16 @@ def trial_logger(self, trial: int, attempt: int) -> Optional[Any]: if callable(getattr(tracker, 'trial_logger', None))) if pl_logger is not None ] - if len(loggers) > 1: - return loggers - return loggers[0] if loggers else None + return loggers or None def on_event(self, event: Event) -> None: if not self._started: return - event = _with_attempt(event, self._attempts) + try: + event = _with_attempt(event, self._attempts) + except Exception: + logger.warning('Could not read the trial attempt of %r', event, + exc_info=True) for tracker in self._trackers: _call(tracker.on_event, event) diff --git a/packages/kumo-engine/kumo/engine/integrations/mlflow.py b/packages/kumo-engine/kumo/engine/integrations/mlflow.py index 369bcca4a..4750e038e 100644 --- a/packages/kumo-engine/kumo/engine/integrations/mlflow.py +++ b/packages/kumo-engine/kumo/engine/integrations/mlflow.py @@ -7,8 +7,9 @@ `kumo.engine.trial_record`) into MLflow runs. Each fit is one MLflow run: nested under the caller's active run if there is one, else a new run in the current or named experiment. Each AutoML trial attempt is a child run with its -searched hyperparameters, Lightning's per-step metrics (step = Lightning's -global step) and summary metrics; the fit run gets the resolved model plan, +searched hyperparameters, Lightning's metrics (step = Lightning's global +step, not the epoch: hence ``step_metrics=False``, as the record's per-epoch +histories are not logged separately) and summary metrics; the fit run gets the resolved model plan, the query and the final metrics. Trial runs still open when the fit ends (the fit failed mid-trial) are ended FAILED. MLflow autologging is suspended for the fit, so it adds no runs of its own. @@ -67,7 +68,7 @@ class MlflowTracking: """ capabilities = Capabilities(nested_runs=True, system_metrics=True, - step_metrics=True, artifacts=True) + artifacts=True) def __init__( self, @@ -109,7 +110,7 @@ def start(self, context: FitContext) -> None: logger.warning( 'Could not suspend MLflow autologging; it may log the ' 'internal trial fits as extra runs', exc_info=True) - self._safe(self._start_parent, run_record(context)) + self._safe(self._start_parent, context) def trial_logger(self, trial: int, attempt: int) -> Optional[Any]: return self._safe(self._trial_logger, trial, attempt) @@ -120,19 +121,16 @@ def on_event(self, event: Event) -> None: events = self._trials.setdefault(key, []) events.append(event) if event.name == 'trial_started': - self._safe(self._start_trial, key, - trial_record(self._context, events)) + self._safe(self._start_trial, key, events) elif event.name == 'trial_ended': - self._safe(self._end_trial, key, - trial_record(self._context, events), event) + self._safe(self._end_trial, key, events, event) elif event.name == 'fit_ended': self._fit_ended = event def finish(self, result: Any, error: Optional[BaseException]) -> None: try: - if result is not None and self._context is not None: - record = run_record(self._context, result, self._fit_ended) - self._safe(self._log_metrics, self._parent, record.metrics) + if result is not None: + self._safe(self._log_final_metrics, result) status = 'FINISHED' if error is None else 'FAILED' if self._enabled: for run_id in self._children.values(): @@ -147,7 +145,8 @@ def finish(self, result: Any, error: Optional[BaseException]) -> None: self._guard.close() self._reset() - def _start_parent(self, record: RunRecord) -> None: + def _start_parent(self, context: FitContext) -> None: + record = run_record(context) mlflow = self._mlflow self._client = mlflow.MlflowClient() experiment_id = None @@ -173,7 +172,8 @@ def _start_parent(self, record: RunRecord) -> None: for name, text in record.artifacts.items(): self._client.log_text(self._parent, text, name) - def _start_trial(self, key: Tuple[int, int], record: RunRecord) -> None: + def _start_trial(self, key: Tuple[int, int], events: List[Event]) -> None: + record = trial_record(self._context, events) self._log_params(self._child(key, record), record.params) def _child(self, key: Tuple[int, int], record: RunRecord) -> str: @@ -201,8 +201,9 @@ def _trial_logger(self, trial: int, trial_logger.version return trial_logger - def _end_trial(self, key: Tuple[int, int], record: RunRecord, + def _end_trial(self, key: Tuple[int, int], events: List[Event], event: Event) -> None: + record = trial_record(self._context, events) run_id = self._children.pop(key) del self._trials[key] self._log_metrics(run_id, record.metrics) @@ -210,6 +211,11 @@ def _end_trial(self, key: Tuple[int, int], record: RunRecord, self._client.set_terminated(run_id, 'FINISHED' if succeeded else 'FAILED') + def _log_final_metrics(self, result: Any) -> None: + self._log_metrics( + self._parent, + run_record(self._context, result, self._fit_ended).metrics) + def _log_params(self, run_id: str, params: Mapping[str, str]) -> None: entities = import_provider('mlflow.entities', 'mlflow') self._client.log_batch( diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index 07ab46fc7..a1f0d3e16 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -323,8 +323,8 @@ def fit( raises is logged and not called again. tracking: records this fit in experiment trackers: one `kumo.engine.Tracking` (e.g. - `kumo.engine.integrations.mlflow.MlflowTracking`) or a - sequence of them. Tracking errors are logged as warnings and + `kumo.engine.integrations.mlflow.MlflowTracking`) or a list or + tuple of them. Tracking errors are logged as warnings and never fail the fit or the other trackers. """ if export_config is not None and not callable( diff --git a/packages/kumo-engine/test/test_tracking_contract.py b/packages/kumo-engine/test/test_tracking_contract.py index 18397ff9d..3b20bbd31 100644 --- a/packages/kumo-engine/test/test_tracking_contract.py +++ b/packages/kumo-engine/test/test_tracking_contract.py @@ -123,20 +123,16 @@ def _raise(self, *args): def replay(trackers) -> List[Event]: - r"""Feeds the recorded fit to `trackers` as `Trainer.fit` would, driving - their trial loggers like Lightning; returns the events trackers saw.""" + r"""Feeds the recorded fit to `trackers` as `Trainer.fit` would; returns + the events trackers saw. Trial loggers are requested but not fed: what + Lightning logs through them is outside the record.""" recorder = _Recorder() session = TrackingSession([recorder, *trackers]) session.start(lambda: CONTEXT) - loggers: Any = None for event in EVENTS: session.on_event(event) if event.name == 'trial_started': - loggers = session.trial_logger(event.trial, event.params['attempt']) - elif event.name == 'epoch_ended' and loggers is not None: - for pl_logger in (loggers - if isinstance(loggers, list) else [loggers]): - pl_logger.log_metrics(dict(event.metrics), step=event.epoch) + session.trial_logger(event.trial, event.params['attempt']) session.finish(RESULT, None) return recorder.events @@ -162,7 +158,7 @@ class Observed: name: Optional[str] params: Mapping[str, str] metrics: Mapping[str, float] - steps: Mapping[str, Tuple[float, ...]] + steps: Mapping[str, Tuple[Tuple[int, float], ...]] tags: Mapping[str, str] parent: Optional[str] = None links: Mapping[str, str] = field(default_factory=dict) @@ -197,16 +193,12 @@ def differ(what, have, want): differ('params', dict(seen.params), dict(kept_params(record.params))) differ('metrics', {k: seen.metrics.get(k) for k in record.metrics}, dict(record.metrics)) - extra = set(seen.metrics) - set(record.metrics) - set(record.steps) - if extra and not (capabilities.system_metrics - and 'kumo.parent_run' not in record.tags): - found.append(f'{run_id} extra metrics {sorted(extra)}') + names = set(record.metrics) if capabilities.step_metrics: + names |= set(record.steps) differ('steps', {k: seen.steps.get(k) - for k in record.steps}, { - k: tuple(v for _, v in history) - for k, history in record.steps.items() - }) + for k in record.steps}, dict(record.steps)) + differ('metric names', sorted(seen.metrics), sorted(names)) differ('tags', {k: seen.tags.get(k) for k in record.tags}, dict(record.tags)) differ('kumo tags', @@ -243,7 +235,7 @@ def observe(): metrics=run.data.metrics, steps={ key: tuple( - m.value + (m.step, m.value) for m in sorted(client.get_metric_history(run_id, key), key=lambda m: (m.step, m.timestamp))) for key in run.data.metrics @@ -336,7 +328,33 @@ def test_a_failing_tracker_does_not_affect_others(adapter, caplog): assert gaps(expected_records(events), adapter.observe(), tracker.capabilities, adapter.kept_params) == [] - assert caplog.text.count('Experiment tracking failed') == 5 + len(EVENTS) + hooks = 2 + len(EVENTS) + sum(e.name == 'trial_started' for e in EVENTS) + assert caplog.text.count('Experiment tracking failed') == hooks + + +def test_gaps_compare_step_histories_when_declared(): + expected = expected_records(replay([])) + observed = { + run_id: + Observed( + name=record.name, params=record.params, metrics={ + **record.metrics, + **{ + k: v[-1][1] + for k, v in record.steps.items() + } + }, steps=record.steps, tags=record.tags) + for run_id, record in expected.items() + } + steps = Capabilities(step_metrics=True) + assert gaps(expected, observed, steps, dict) == [] + + retry = observed[f'{RUN}-trial-2-attempt-2'] + retry.steps = {**retry.steps, 'val_mae': ((10, 0.5), (20, 0.3))} + assert len(gaps(expected, observed, steps, dict)) == 1 + undeclared = gaps(expected, observed, Capabilities(), dict) + assert [gap.split()[1:3] + for gap in undeclared] == [['metric', 'names:']] * 2 def test_session_merges_trial_loggers_and_skips_trackers_without_one(): @@ -352,7 +370,7 @@ def trial_logger(self, trial, attempt): session = TrackingSession(_Recorder()) assert session.trial_logger(1, 1) is None session = TrackingSession([_Recorder(), WithLogger(one), WithLogger(None)]) - assert session.trial_logger(1, 1) is one + assert session.trial_logger(1, 1) == [one] session = TrackingSession([WithLogger(one), WithLogger(two)]) assert session.trial_logger(1, 1) == [one, two] From 24bc0ef52948870ec0d12dfc9fea0708158ee040 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 01:13:07 +0000 Subject: [PATCH 086/123] Tag model links in core; log per-epoch steps and finish tags in MLflow Adapters invented names for links and user tags, the MLflow trial run had no per-epoch history on the record's step axis, and finish-time tags were never logged. run_record now emits each link also as a kumo. tag and passes user-supplied tags through under their given names (kumo.* wins), with Capabilities.model_link meaning the platform's own run-to-model link. MLflow logs trial steps with step = epoch under the record names, prefixes Lightning's metrics with the core LIGHTNING_PREFIX, declares step_metrics, logs every finish-time tag, and counts skipped params in kumo.dropped_params. Verified: tracking contract, MLflow tracking, fit events, optional imports (51 pass) and kumo-core test_training.py (26 pass). Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/README.md | 11 ++- packages/kumo-engine/kumo/engine/_tracking.py | 47 ++++++++-- .../kumo/engine/integrations/mlflow.py | 85 ++++++++++++------- .../kumo-engine/test/test_mlflow_tracking.py | 9 +- .../test/test_tracking_contract.py | 41 +++++++-- 5 files changed, 143 insertions(+), 50 deletions(-) diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index 122804a77..efd88b1a3 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -375,13 +375,18 @@ others. Any other system plugs in through the `kumo.engine.Tracking` protocol: `params["attempt"]`); - `finish(result, error)`: once, when the fit returns or raises; - optional `trial_logger(trial, attempt)`: a Lightning logger for one trial - attempt's step metrics, or `None`; + attempt, or `None` (MLflow prefixes its metrics `lightning-`, since their + step is Lightning's global step, not the epoch); - optional `capabilities`: a `Capabilities` stating what the adapter records (nested runs, system metrics, step metrics, artifacts, model links). -Build what to log with `run_record(context, result, fit_ended)` and +Build what to log with `run_record(context, result, fit_ended, tags=...)` and `trial_record(context, trial_events)`, so every adapter uses the same -parameter, metric and tag names: +parameter, metric and tag names. Tags are the engine's `kumo.*` tags plus the +`tags=` you pass, under their given names (`kumo.*` names are the engine's; +yours are dropped with a warning). Links to a published model (`model_name`, +`model_version`, `model_uri`) are also tags (`kumo.model_name`, ...), so a +tracker without its own run-to-model link still records them; `steps` are per-epoch histories (step = epoch). ```python import json diff --git a/packages/kumo-engine/kumo/engine/_tracking.py b/packages/kumo-engine/kumo/engine/_tracking.py index 809950b81..cf167fef2 100644 --- a/packages/kumo-engine/kumo/engine/_tracking.py +++ b/packages/kumo-engine/kumo/engine/_tracking.py @@ -9,6 +9,7 @@ import json import logging import os +import warnings from collections.abc import Sequence as SequenceABC from dataclasses import dataclass, field from typing import ( @@ -34,6 +35,14 @@ logger = logging.getLogger(__name__) +# Prefix of the metrics a `Tracking.trial_logger` receives from Lightning +# (step = Lightning's global step), so they never share a name with the +# record's per-epoch ``steps``. +LIGHTNING_PREFIX = 'lightning' +# Tags counting what an adapter skipped to fit its platform's limits. +DROPPED_PARAMS = 'kumo.dropped_params' +DROPPED_METRICS = 'kumo.dropped_metrics' + @dataclass(frozen=True) class FitContext: @@ -52,8 +61,8 @@ class RunRecord: r"""One tracked run in platform-neutral names; adapters translate it. ``steps`` maps a metric to its ``(step, value)`` history (step = epoch), - ``links`` holds ids of models published from the run, and ``artifacts`` - maps file names to text content. + ``links`` holds ids of models published from the run (each also a + ``kumo.`` tag), and ``artifacts`` maps file names to text content. """ name: Optional[str] = None @@ -75,10 +84,13 @@ class Capabilities: Without it they are flat runs linked by the ``kumo.parent_run`` tag. system_metrics: host CPU/GPU/memory usage is sampled on the fit run. - step_metrics: `RunRecord.steps` histories are recorded with step = - epoch. + step_metrics: `RunRecord.steps` histories are recorded under their + names with step = epoch. artifacts: `RunRecord.artifacts` are stored as files of the run. - model_link: `RunRecord.links` are attached to the run. + model_link: a model published from the run to this platform's own + registry is also linked to it through the platform's run-to-model + link. Without it, and always in addition, `RunRecord.links` are + ``kumo.`` tags. """ nested_runs: bool = False @@ -89,9 +101,15 @@ class Capabilities: def run_record(context: FitContext, result: Optional['TrainingResult'] = None, - fit_ended: Optional[Event] = None) -> RunRecord: + fit_ended: Optional[Event] = None, *, + tags: Optional[Mapping[str, str]] = None) -> RunRecord: r"""The fit run's record; metrics need `result` and the ``fit_ended`` - event.""" + event. + + ``tags`` (an adapter's user-supplied tags) pass through under their given + names, except ``kumo.*`` names, which only the engine sets (dropped with a + warning). + """ metrics: Dict[str, float] = {} links: Dict[str, str] = {} if result is not None: @@ -117,10 +135,13 @@ def run_record(context: FitContext, result: Optional['TrainingResult'] = None, }, metrics=metrics, tags={ + **_user_tags(tags), 'kumo.engine_version': __version__, 'kumo.run_id': context.run_id, 'kumo.snapshot_id': context.snapshot_id, 'kumo.training_table_id': context.training_table_id, + **{f'kumo.{key}': value + for key, value in links.items()}, }, links=links, artifacts={ @@ -132,6 +153,18 @@ def run_record(context: FitContext, result: Optional['TrainingResult'] = None, ) +def _user_tags(tags: Optional[Mapping[str, Any]]) -> Dict[str, str]: + reserved = sorted(key for key in tags or {} if key.startswith('kumo.')) + if reserved: + warnings.warn( + f'Tracking tags {reserved} are not recorded: kumo.* tags are set ' + f'by the engine.', UserWarning, stacklevel=3) + return { + key: str(value) + for key, value in (tags or {}).items() if key not in reserved + } + + def trial_record(context: FitContext, events: Sequence[Event]) -> RunRecord: r"""One trial attempt's record from its events so far: ``trial_started``, then ``epoch_ended`` and ``trial_ended``.""" diff --git a/packages/kumo-engine/kumo/engine/integrations/mlflow.py b/packages/kumo-engine/kumo/engine/integrations/mlflow.py index 4750e038e..4180c1318 100644 --- a/packages/kumo-engine/kumo/engine/integrations/mlflow.py +++ b/packages/kumo-engine/kumo/engine/integrations/mlflow.py @@ -4,20 +4,23 @@ r"""MLflow tracking for `Trainer.fit` (``pip install 'kumo-engine[mlflow]'``). Translates the engine's run records (`kumo.engine.run_record`, -`kumo.engine.trial_record`) into MLflow runs. Each fit is one MLflow run: -nested under the caller's active run if there is one, else a new run in the -current or named experiment. Each AutoML trial attempt is a child run with its -searched hyperparameters, Lightning's metrics (step = Lightning's global -step, not the epoch: hence ``step_metrics=False``, as the record's per-epoch -histories are not logged separately) and summary metrics; the fit run gets the resolved model plan, -the query and the final metrics. Trial runs still open when the fit ends (the -fit failed mid-trial) are ended FAILED. MLflow autologging is suspended for the -fit, so it adds no runs of its own. +`kumo.engine.trial_record`) into MLflow runs under their names. Each fit is +one MLflow run: nested under the caller's active run if there is one, else a +new run in the current or named experiment. Each AutoML trial attempt is a +child run with its searched hyperparameters, per-epoch metrics (step = epoch) +and summary metrics; Lightning's own metrics on it are prefixed +``lightning-`` (step = Lightning's global step). The fit run gets the resolved +model plan, the query, user and ``kumo.*`` tags, and at the end the final +metrics and the finish-time tags (published model ids as ``kumo.model_*``). +Trial runs still open when the fit ends (the fit failed mid-trial) are ended +FAILED. MLflow autologging is suspended for the fit, so it adds no runs of its +own. MLflow limits: params whose key MLflow rejects (characters outside ``[/\w.\- ]``, over 250 characters, or not a normalized relative path) or whose value is over 6000 characters are not logged as params; the full plan is -always in the ``model_plan.json`` artifact. +always in the ``model_plan.json`` artifact, and the run's +``kumo.dropped_params`` tag counts the skipped ones. Any MLflow error is logged once as a warning and stops tracking for the rest of that fit: only the fit run is then ended, and open trial runs are left as they @@ -36,6 +39,8 @@ from kumo.engine._events import Event from kumo.engine._tracking import ( + DROPPED_PARAMS, + LIGHTNING_PREFIX, Capabilities, FitContext, RunRecord, @@ -61,14 +66,14 @@ class MlflowTracking: run_name: name of the fit run. `None` lets MLflow pick one. log_system_metrics: sample CPU, memory, disk, network and (with ``nvidia-ml-py``) GPU usage on the fit run. - tags: extra tags for the fit run. + tags: extra tags for the fit run, under their given names. Raises: ImportError: if mlflow is not installed. """ capabilities = Capabilities(nested_runs=True, system_metrics=True, - artifacts=True) + step_metrics=True, artifacts=True) def __init__( self, @@ -93,6 +98,7 @@ def _reset(self) -> None: self._children: Dict[Tuple[int, int], str] = {} self._trials: Dict[Tuple[int, int], List[Event]] = {} self._fit_ended: Optional[Event] = None + self._dropped: Dict[str, int] = {} self._guard = ExitStack() def start(self, context: FitContext) -> None: @@ -122,6 +128,8 @@ def on_event(self, event: Event) -> None: events.append(event) if event.name == 'trial_started': self._safe(self._start_trial, key, events) + elif event.name == 'epoch_ended' and event.epoch is not None: + self._safe(self._log_steps, key, events, event.epoch) elif event.name == 'trial_ended': self._safe(self._end_trial, key, events, event) elif event.name == 'fit_ended': @@ -130,7 +138,7 @@ def on_event(self, event: Event) -> None: def finish(self, result: Any, error: Optional[BaseException]) -> None: try: if result is not None: - self._safe(self._log_final_metrics, result) + self._safe(self._log_result, result) status = 'FINISHED' if error is None else 'FAILED' if self._enabled: for run_id in self._children.values(): @@ -146,7 +154,7 @@ def finish(self, result: Any, error: Optional[BaseException]) -> None: self._reset() def _start_parent(self, context: FitContext) -> None: - record = run_record(context) + record = run_record(context, tags=self.tags) mlflow = self._mlflow self._client = mlflow.MlflowClient() experiment_id = None @@ -160,10 +168,7 @@ def _start_parent(self, context: FitContext) -> None: experiment_id=experiment_id, run_name=self.run_name, nested=mlflow.active_run() is not None, - tags={ - **record.tags, - **self.tags - }, + tags=record.tags, log_system_metrics=self.log_system_metrics, ) self._parent = run.info.run_id @@ -195,12 +200,22 @@ def _trial_logger(self, trial: int, return None trial_logger = _KumoMLFlowLogger( self, run_id=run_id, tracking_uri=self._mlflow.get_tracking_uri(), - log_model=False) + log_model=False, prefix=LIGHTNING_PREFIX) # Lightning resolves these lazily, outside our error handling. trial_logger.experiment trial_logger.version return trial_logger + def _log_steps(self, key: Tuple[int, int], events: List[Event], + epoch: int) -> None: + record = trial_record(self._context, events) + self._log_metrics( + self._children.get(key), { + name: history[-1][1] + for name, history in record.steps.items() + if history[-1][0] == epoch + }, step=epoch) + def _end_trial(self, key: Tuple[int, int], events: List[Event], event: Event) -> None: record = trial_record(self._context, events) @@ -211,28 +226,40 @@ def _end_trial(self, key: Tuple[int, int], events: List[Event], self._client.set_terminated(run_id, 'FINISHED' if succeeded else 'FAILED') - def _log_final_metrics(self, result: Any) -> None: - self._log_metrics( - self._parent, - run_record(self._context, result, self._fit_ended).metrics) + def _log_result(self, result: Any) -> None: + record = run_record(self._context, result, self._fit_ended, + tags=self.tags) + self._log_metrics(self._parent, record.metrics) + entities = import_provider('mlflow.entities', 'mlflow') + self._client.log_batch( + self._parent, tags=[ + entities.RunTag(key, value) + for key, value in record.tags.items() + ]) def _log_params(self, run_id: str, params: Mapping[str, str]) -> None: entities = import_provider('mlflow.entities', 'mlflow') + kept = _mlflow_params(params) + dropped = len(params) - len(kept) + tags = [] + if dropped: + self._dropped[run_id] = self._dropped.get(run_id, 0) + dropped + tags = [entities.RunTag(DROPPED_PARAMS, str(self._dropped[run_id]))] self._client.log_batch( run_id, params=[ entities.Param(key, value) - for key, value in _mlflow_params(params).items() - ]) + for key, value in kept.items() + ], tags=tags) def _log_metrics(self, run_id: Optional[str], - metrics: Mapping[str, float]) -> None: + metrics: Mapping[str, float], step: int = 0) -> None: if run_id is None or not metrics: return entities = import_provider('mlflow.entities', 'mlflow') timestamp = int(time.time() * 1000) self._client.log_batch( run_id, metrics=[ - entities.Metric(key, float(value), timestamp, 0) + entities.Metric(key, float(value), timestamp, step) for key, value in metrics.items() ]) @@ -251,8 +278,8 @@ def _safe(self, function: Callable[..., Any], *args: Any, class _KumoMLFlowLogger(MLFlowLogger): - r"""Logs one trial's epoch metrics to an existing child run. The tracker, - not Lightning, ends the run.""" + r"""Logs one trial's Lightning metrics to an existing child run. The + tracker, not Lightning, ends the run.""" def __init__(self, tracking: MlflowTracking, **kwargs: Any) -> None: super().__init__(**kwargs) self._tracking = tracking diff --git a/packages/kumo-engine/test/test_mlflow_tracking.py b/packages/kumo-engine/test/test_mlflow_tracking.py index bac054330..cc21e0727 100644 --- a/packages/kumo-engine/test/test_mlflow_tracking.py +++ b/packages/kumo-engine/test/test_mlflow_tracking.py @@ -111,6 +111,7 @@ def test_fit_logs_a_run_per_fit_and_per_trial(table_and_snapshot, caplog): assert parent.data.tags['team'] == 'a' assert parent.data.tags['kumo.snapshot_id'] == snapshot.id assert parent.data.tags['kumo.engine_version'] == kumo.__version__ + assert int(parent.data.tags['kumo.dropped_params']) >= 1 params = parent.data.params assert params['task_type'] == 'regression' assert params['snapshot_id'] == snapshot.id @@ -145,8 +146,12 @@ def test_fit_logs_a_run_per_fit_and_per_trial(table_and_snapshot, caplog): f"{parent.data.tags['kumo.run_id']}-{child.info.run_name}") assert child.data.params['attempt'] == '1' assert float(child.data.params['optimization.base_lr']) in (0.01, 0.001) - assert {'best_val_mae', 'seconds', 'epoch'} <= set(child.data.metrics) - epochs = client.get_metric_history(child.info.run_id, 'epoch') + assert {'best_val_mae', 'seconds', 'val_mae', + 'lightning-epoch'} <= set(child.data.metrics) + history = client.get_metric_history(child.info.run_id, 'val_mae') + assert sorted(metric.step for metric in history) == [1, 2] + epochs = client.get_metric_history(child.info.run_id, + 'lightning-epoch') assert {0, 1} <= {metric.value for metric in epochs} diff --git a/packages/kumo-engine/test/test_tracking_contract.py b/packages/kumo-engine/test/test_tracking_contract.py index 3b20bbd31..710bb55e8 100644 --- a/packages/kumo-engine/test/test_tracking_contract.py +++ b/packages/kumo-engine/test/test_tracking_contract.py @@ -6,8 +6,8 @@ A recorded fake fit (fixed context, events and result) is replayed through `TrackingSession` into an adapter; what the adapter stored is read back and compared with `run_record`/`trial_record`, allowing only the gaps its -`Capabilities` declare and the params its platform limits drop. A new adapter -is one more `adapter` fixture param. +`Capabilities` declare and the params its platform limits drop (counted in +``kumo.dropped_params``). A new adapter is one more `adapter` fixture param. """ import json @@ -26,9 +26,14 @@ run_record, trial_record, ) -from kumo.engine._tracking import TrackingSession +from kumo.engine._tracking import ( + DROPPED_METRICS, + DROPPED_PARAMS, + TrackingSession, +) RUN = 'trainer-fit-1' +USER_TAGS = {'team': 'ents', 'kumo.run_id': 'overridden'} QUERY = 'PREDICT ents.Y FOR EACH ents.ID' CONTEXT = FitContext( run_id=RUN, task_type='regression', snapshot_id='snap@1', @@ -145,7 +150,7 @@ def expected_records(events: List[Event]) -> Dict[str, RunRecord]: []).append(event) ended = next(event for event in events if event.name == 'fit_ended') records = [ - run_record(CONTEXT, RESULT, ended), + run_record(CONTEXT, RESULT, ended, tags=USER_TAGS), *(trial_record(CONTEXT, group) for group in trials.values()) ] return {record.tags['kumo.run_id']: record for record in records} @@ -181,6 +186,13 @@ def gaps( found = [] if set(observed) != set(expected): return [f'runs {sorted(observed)} != {sorted(expected)}'] + dropped = sum( + len(record.params) - len(kept_params(record.params)) + for record in expected.values()) + counted = sum( + int(seen.tags.get(DROPPED_PARAMS, 0)) for seen in observed.values()) + if counted != dropped: + found.append(f'{DROPPED_PARAMS}: {counted} != {dropped}') for run_id, record in expected.items(): seen = observed[run_id] @@ -201,9 +213,11 @@ def differ(what, have, want): differ('metric names', sorted(seen.metrics), sorted(names)) differ('tags', {k: seen.tags.get(k) for k in record.tags}, dict(record.tags)) - differ('kumo tags', - sorted(k for k in seen.tags if k.startswith('kumo.')), - sorted(record.tags)) + differ( + 'kumo tags', + sorted(k for k in seen.tags if k.startswith('kumo.') + and k not in (DROPPED_PARAMS, DROPPED_METRICS)), + sorted(k for k in record.tags if k.startswith('kumo.'))) if capabilities.nested_runs: differ('parent', seen.parent, record.tags.get('kumo.parent_run')) if capabilities.model_link: @@ -250,8 +264,10 @@ def observe(): return observed try: - yield Adapter(make=lambda: MlflowTracking(log_system_metrics=False), - observe=observe, kept_params=_mlflow_params) + yield Adapter( + make=lambda: MlflowTracking(log_system_metrics=False, + tags=USER_TAGS), observe=observe, + kept_params=_mlflow_params) finally: while mlflow.active_run() is not None: mlflow.end_run() @@ -268,10 +284,14 @@ def test_records_of_the_recorded_fit(): fit = records[RUN] assert fit.tags == { + 'team': 'ents', 'kumo.engine_version': fit.tags['kumo.engine_version'], 'kumo.run_id': RUN, 'kumo.snapshot_id': 'snap@1', 'kumo.training_table_id': 'tt-1', + 'kumo.model_name': 'ents-model', + 'kumo.model_version': '3', + 'kumo.model_uri': 'models:/ents-model/3', } assert { key: fit.params[key] @@ -285,6 +305,9 @@ def test_records_of_the_recorded_fit(): 'optimization.base_lr': '[0.01, 0.001]', 'column_processing.encoder_overrides.ents.amount ($)': 'numerical', } + with pytest.warns(UserWarning, match='kumo.bundle_id'): + spoofed = run_record(CONTEXT, tags={'kumo.bundle_id': 'x', 'a': 1}) + assert 'kumo.bundle_id' not in spoofed.tags and spoofed.tags['a'] == '1' assert len(fit.params['query_sha256']) == 64 assert fit.metrics == {'val_mae': 0.3, 'test_mae': 0.32, 'seconds': 9.0} assert fit.links == { From e61dc62133f2befaf06722c789b6e490b3cc8020 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 08:11:42 +0000 Subject: [PATCH 087/123] Drop the removed progress setting from the MLflow test fixture Problem: the fit-events base no longer has a JSON progress option, so the fixture's monkeypatch of its module state fails. Change: remove the two fixture lines that reset it. Verification: test_mlflow_tracking.py. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/test/test_mlflow_tracking.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/packages/kumo-engine/test/test_mlflow_tracking.py b/packages/kumo-engine/test/test_mlflow_tracking.py index cc21e0727..fd353f67d 100644 --- a/packages/kumo-engine/test/test_mlflow_tracking.py +++ b/packages/kumo-engine/test/test_mlflow_tracking.py @@ -34,9 +34,7 @@ def tracking_uri(tmp_path, monkeypatch): @pytest.fixture -def table_and_snapshot(tmp_path, monkeypatch, tracking_uri): - monkeypatch.setattr('kumo.engine._events._progress', None) - monkeypatch.delenv('KUMO_ENGINE_PROGRESS', raising=False) +def table_and_snapshot(tmp_path, tracking_uri): previous_scratch = get_scratch_dir() kumo.configure(scratch_dir=tmp_path / 'scratch') try: From ef0ed186787aeff3dd11bf8a67ffacc2b57b61f6 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 08:16:12 +0000 Subject: [PATCH 088/123] Record run kind and failures as tags; keep ids out of params Problem: a failed trial or fit recorded no reason, run records did not say which kind of run they were, the snapshot, training-table and query ids were logged twice (params and kumo.* tags), and a user tag could share a name with a param, which collides where tags are stored as params. Change: run_record tags fit runs kumo.kind=fit and, when fit_ended has an error, kumo.error; trial_record tags kumo.kind=trial, kumo.status and, on failure, kumo.error from trial_ended. Ids live only in kumo.* tags (query_sha256 becomes kumo.query_sha256); params are the task type and model plan. User tags named like a param are dropped with a warning, as kumo.* ones are. MLflow writes trial tags when a trial ends and the fit's tags also when the fit fails. Verification: test_tracking_contract.py (new failed-fit replay) and test_mlflow_tracking.py, 12 passed. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/README.md | 12 +++- packages/kumo-engine/kumo/engine/_tracking.py | 61 ++++++++++++------- .../kumo/engine/integrations/mlflow.py | 15 +++-- .../kumo-engine/test/test_mlflow_tracking.py | 11 ++-- .../test/test_tracking_contract.py | 58 ++++++++++++------ 5 files changed, 105 insertions(+), 52 deletions(-) diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index efd88b1a3..0918d5f1c 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -382,9 +382,15 @@ others. Any other system plugs in through the `kumo.engine.Tracking` protocol: Build what to log with `run_record(context, result, fit_ended, tags=...)` and `trial_record(context, trial_events)`, so every adapter uses the same -parameter, metric and tag names. Tags are the engine's `kumo.*` tags plus the -`tags=` you pass, under their given names (`kumo.*` names are the engine's; -yours are dropped with a warning). Links to a published model (`model_name`, +parameter, metric and tag names. Params are options and hyperparameters: the +task type and resolved model plan on a fit run, the searched hyperparameters +and attempt on a trial run. Ids and outcomes are `kumo.*` tags: `kumo.kind` +(`fit` or `trial`), `kumo.run_id`, `kumo.snapshot_id`, +`kumo.training_table_id` and `kumo.query_sha256` on the fit, `kumo.parent_run` +and, when it ends, `kumo.status` on a trial, and `kumo.error` (error type and +a short message) on a failed fit or trial. The `tags=` you pass are added under +their given names; ones named `kumo.*` or like a param are dropped with a +warning. Links to a published model (`model_name`, `model_version`, `model_uri`) are also tags (`kumo.model_name`, ...), so a tracker without its own run-to-model link still records them; `steps` are per-epoch histories (step = epoch). diff --git a/packages/kumo-engine/kumo/engine/_tracking.py b/packages/kumo-engine/kumo/engine/_tracking.py index cf167fef2..3867c58cd 100644 --- a/packages/kumo-engine/kumo/engine/_tracking.py +++ b/packages/kumo-engine/kumo/engine/_tracking.py @@ -104,11 +104,11 @@ def run_record(context: FitContext, result: Optional['TrainingResult'] = None, fit_ended: Optional[Event] = None, *, tags: Optional[Mapping[str, str]] = None) -> RunRecord: r"""The fit run's record; metrics need `result` and the ``fit_ended`` - event. + event, which also sets ``kumo.error`` when the fit failed. ``tags`` (an adapter's user-supplied tags) pass through under their given - names, except ``kumo.*`` names, which only the engine sets (dropped with a - warning). + names, except ``kumo.*`` names, which only the engine sets, and names of + the record's params (both dropped with a warning). """ metrics: Dict[str, float] = {} links: Dict[str, str] = {} @@ -122,24 +122,26 @@ def run_record(context: FitContext, result: Optional['TrainingResult'] = None, 'model_version': str(result.published_model.version), 'model_uri': result.published_model.uri, } - return RunRecord( - params={ - 'task_type': context.task_type, - 'snapshot_id': context.snapshot_id, - 'training_table_id': context.training_table_id, - 'query_sha256': hashlib.sha256(context.query.encode()).hexdigest(), - **{ - key: _param_value(value) - for key, value in _flatten(context.model_plan) - }, + params = { + 'task_type': context.task_type, + **{ + key: _param_value(value) + for key, value in _flatten(context.model_plan) }, + } + return RunRecord( + params=params, metrics=metrics, tags={ - **_user_tags(tags), + **_user_tags(tags, params), + 'kumo.kind': 'fit', 'kumo.engine_version': __version__, 'kumo.run_id': context.run_id, 'kumo.snapshot_id': context.snapshot_id, 'kumo.training_table_id': context.training_table_id, + 'kumo.query_sha256': hashlib.sha256( + context.query.encode()).hexdigest(), + **_error_tag(fit_ended), **{f'kumo.{key}': value for key, value in links.items()}, }, @@ -153,21 +155,31 @@ def run_record(context: FitContext, result: Optional['TrainingResult'] = None, ) -def _user_tags(tags: Optional[Mapping[str, Any]]) -> Dict[str, str]: - reserved = sorted(key for key in tags or {} if key.startswith('kumo.')) - if reserved: +def _user_tags(tags: Optional[Mapping[str, Any]], + params: Mapping[str, str]) -> Dict[str, str]: + dropped = sorted(key for key in tags or {} + if key.startswith('kumo.') or key in params) + if dropped: warnings.warn( - f'Tracking tags {reserved} are not recorded: kumo.* tags are set ' - f'by the engine.', UserWarning, stacklevel=3) + f'Tracking tags {dropped} are not recorded: kumo.* tags are set ' + f'by the engine, and a tag may not share a param\'s name.', + UserWarning, stacklevel=3) return { key: str(value) - for key, value in (tags or {}).items() if key not in reserved + for key, value in (tags or {}).items() if key not in dropped } +def _error_tag(ended: Optional[Event]) -> Dict[str, str]: + if ended is None or 'error' not in ended.params: + return {} + return {'kumo.error': str(ended.params['error'])} + + def trial_record(context: FitContext, events: Sequence[Event]) -> RunRecord: r"""One trial attempt's record from its events so far: ``trial_started``, - then ``epoch_ended`` and ``trial_ended``.""" + then ``epoch_ended`` and ``trial_ended`` (which sets ``kumo.status`` and, + on failure, ``kumo.error``).""" started = next(event for event in events if event.name == 'trial_started') trial, attempt = started.trial, int(started.params['attempt']) params: Dict[str, str] = { @@ -176,11 +188,16 @@ def trial_record(context: FitContext, events: Sequence[Event]) -> RunRecord: } metrics: Dict[str, float] = {} steps: Dict[str, List[Tuple[int, float]]] = {} + ended: Dict[str, str] = {} for event in events: if event.name == 'epoch_ended' and event.epoch is not None: for name, value in event.metrics.items(): steps.setdefault(name, []).append((event.epoch, value)) elif event.name == 'trial_ended': + ended = { + 'kumo.status': str(event.params.get('status')), + **_error_tag(event), + } metrics.update({ name if name == 'seconds' else f'best_{name}': value for name, value in event.metrics.items() @@ -194,8 +211,10 @@ def trial_record(context: FitContext, events: Sequence[Event]) -> RunRecord: for name, history in steps.items() }, tags={ + 'kumo.kind': 'trial', 'kumo.run_id': f'{context.run_id}-trial-{trial}-attempt-{attempt}', 'kumo.parent_run': context.run_id, + **ended, }, ) diff --git a/packages/kumo-engine/kumo/engine/integrations/mlflow.py b/packages/kumo-engine/kumo/engine/integrations/mlflow.py index 4180c1318..bedbd8b46 100644 --- a/packages/kumo-engine/kumo/engine/integrations/mlflow.py +++ b/packages/kumo-engine/kumo/engine/integrations/mlflow.py @@ -11,7 +11,9 @@ and summary metrics; Lightning's own metrics on it are prefixed ``lightning-`` (step = Lightning's global step). The fit run gets the resolved model plan, the query, user and ``kumo.*`` tags, and at the end the final -metrics and the finish-time tags (published model ids as ``kumo.model_*``). +metrics and the finish-time tags (published model ids as ``kumo.model_*``, or +``kumo.error`` when the fit failed). A trial run gets ``kumo.status`` and, on +failure, ``kumo.error`` when it ends. Trial runs still open when the fit ends (the fit failed mid-trial) are ended FAILED. MLflow autologging is suspended for the fit, so it adds no runs of its own. @@ -137,8 +139,7 @@ def on_event(self, event: Event) -> None: def finish(self, result: Any, error: Optional[BaseException]) -> None: try: - if result is not None: - self._safe(self._log_result, result) + self._safe(self._log_result, result) status = 'FINISHED' if error is None else 'FAILED' if self._enabled: for run_id in self._children.values(): @@ -222,6 +223,7 @@ def _end_trial(self, key: Tuple[int, int], events: List[Event], run_id = self._children.pop(key) del self._trials[key] self._log_metrics(run_id, record.metrics) + self._log_tags(run_id, record.tags) succeeded = event.params.get('status') == 'succeeded' self._client.set_terminated(run_id, 'FINISHED' if succeeded else 'FAILED') @@ -230,11 +232,14 @@ def _log_result(self, result: Any) -> None: record = run_record(self._context, result, self._fit_ended, tags=self.tags) self._log_metrics(self._parent, record.metrics) + self._log_tags(self._parent, record.tags) + + def _log_tags(self, run_id: str, tags: Mapping[str, str]) -> None: entities = import_provider('mlflow.entities', 'mlflow') self._client.log_batch( - self._parent, tags=[ + run_id, tags=[ entities.RunTag(key, value) - for key, value in record.tags.items() + for key, value in tags.items() ]) def _log_params(self, run_id: str, params: Mapping[str, str]) -> None: diff --git a/packages/kumo-engine/test/test_mlflow_tracking.py b/packages/kumo-engine/test/test_mlflow_tracking.py index fd353f67d..00de25704 100644 --- a/packages/kumo-engine/test/test_mlflow_tracking.py +++ b/packages/kumo-engine/test/test_mlflow_tracking.py @@ -110,12 +110,12 @@ def test_fit_logs_a_run_per_fit_and_per_trial(table_and_snapshot, caplog): assert parent.data.tags['kumo.snapshot_id'] == snapshot.id assert parent.data.tags['kumo.engine_version'] == kumo.__version__ assert int(parent.data.tags['kumo.dropped_params']) >= 1 + assert parent.data.tags['kumo.kind'] == 'fit' + assert parent.data.tags['kumo.query_sha256'] == hashlib.sha256( + QUERY.encode()).hexdigest() params = parent.data.params assert params['task_type'] == 'regression' - assert params['snapshot_id'] == snapshot.id - assert params['training_table_id'] == ( - parent.data.tags['kumo.training_table_id']) - assert params['query_sha256'] == hashlib.sha256(QUERY.encode()).hexdigest() + assert 'snapshot_id' not in params assert json.loads(params['optimization.base_lr']) == [0.01, 0.001] metrics = { name: value @@ -137,6 +137,8 @@ def test_fit_logs_a_run_per_fit_and_per_trial(table_and_snapshot, caplog): for run in children] == ['trial-1-attempt-1', 'trial-2-attempt-1'] for child in children: assert child.info.status == 'FINISHED' + assert child.data.tags['kumo.kind'] == 'trial' + assert child.data.tags['kumo.status'] == 'succeeded' assert child.data.tags['mlflow.parentRunId'] == parent.info.run_id assert child.data.tags['kumo.parent_run'] == ( parent.data.tags['kumo.run_id']) @@ -228,6 +230,7 @@ def fail(*args, **kwargs): assert raised.value is error run, = _runs(mlflow.MlflowClient()) assert run.info.status == 'FAILED' + assert run.data.tags['kumo.error'] == 'ValueError: stop' assert mlflow.active_run() is None diff --git a/packages/kumo-engine/test/test_tracking_contract.py b/packages/kumo-engine/test/test_tracking_contract.py index 710bb55e8..2cc7022e9 100644 --- a/packages/kumo-engine/test/test_tracking_contract.py +++ b/packages/kumo-engine/test/test_tracking_contract.py @@ -10,6 +10,7 @@ ``kumo.dropped_params``). A new adapter is one more `adapter` fixture param. """ +import hashlib import json from dataclasses import dataclass, field from types import SimpleNamespace @@ -78,7 +79,7 @@ def _epochs(trial, *values): }, status='succeeded', attempt=1), _event('trial_started', 2, attempt=1, **{'optimization.base_lr': 0.001}), _event('trial_ended', 2, status='failed', attempt=1, - error='OutOfMemoryError'), + error='OutOfMemoryError: CUDA out of memory'), _event('trial_started', 2, attempt=2, **{ 'optimization.base_lr': 0.001, 'optimization.batch_size': 256 @@ -127,22 +128,24 @@ def _raise(self, *args): start = on_event = trial_logger = finish = _raise -def replay(trackers) -> List[Event]: +def replay(trackers, events=EVENTS, result=RESULT, + error=None) -> List[Event]: r"""Feeds the recorded fit to `trackers` as `Trainer.fit` would; returns the events trackers saw. Trial loggers are requested but not fed: what Lightning logs through them is outside the record.""" recorder = _Recorder() session = TrackingSession([recorder, *trackers]) session.start(lambda: CONTEXT) - for event in EVENTS: + for event in events: session.on_event(event) if event.name == 'trial_started': session.trial_logger(event.trial, event.params['attempt']) - session.finish(RESULT, None) + session.finish(result, error) return recorder.events -def expected_records(events: List[Event]) -> Dict[str, RunRecord]: +def expected_records(events: List[Event], + result=RESULT) -> Dict[str, RunRecord]: trials: Dict[Tuple[int, int], List[Event]] = {} for event in events: if event.trial is not None: @@ -150,7 +153,7 @@ def expected_records(events: List[Event]) -> Dict[str, RunRecord]: []).append(event) ended = next(event for event in events if event.name == 'fit_ended') records = [ - run_record(CONTEXT, RESULT, ended, tags=USER_TAGS), + run_record(CONTEXT, result, ended, tags=USER_TAGS), *(trial_record(CONTEXT, group) for group in trials.values()) ] return {record.tags['kumo.run_id']: record for record in records} @@ -285,30 +288,30 @@ def test_records_of_the_recorded_fit(): fit = records[RUN] assert fit.tags == { 'team': 'ents', + 'kumo.kind': 'fit', 'kumo.engine_version': fit.tags['kumo.engine_version'], 'kumo.run_id': RUN, 'kumo.snapshot_id': 'snap@1', 'kumo.training_table_id': 'tt-1', + 'kumo.query_sha256': hashlib.sha256(QUERY.encode()).hexdigest(), 'kumo.model_name': 'ents-model', 'kumo.model_version': '3', 'kumo.model_uri': 'models:/ents-model/3', } - assert { - key: fit.params[key] - for key in ('task_type', 'snapshot_id', 'training_table_id', - 'optimization.base_lr', - 'column_processing.encoder_overrides.ents.amount ($)') - } == { + assert fit.params == { 'task_type': 'regression', - 'snapshot_id': 'snap@1', - 'training_table_id': 'tt-1', 'optimization.base_lr': '[0.01, 0.001]', + 'optimization.max_epochs': '2', + 'training_job.tune_metric': 'mae', 'column_processing.encoder_overrides.ents.amount ($)': 'numerical', } - with pytest.warns(UserWarning, match='kumo.bundle_id'): - spoofed = run_record(CONTEXT, tags={'kumo.bundle_id': 'x', 'a': 1}) - assert 'kumo.bundle_id' not in spoofed.tags and spoofed.tags['a'] == '1' - assert len(fit.params['query_sha256']) == 64 + with pytest.warns(UserWarning, match="'kumo.bundle_id', 'task_type'"): + spoofed = run_record(CONTEXT, tags={ + 'kumo.bundle_id': 'x', + 'task_type': 'y', + 'a': 1 + }) + assert spoofed.tags.keys() - fit.tags.keys() == {'a'} assert fit.metrics == {'val_mae': 0.3, 'test_mae': 0.32, 'seconds': 9.0} assert fit.links == { 'model_name': 'ents-model', @@ -324,11 +327,16 @@ def test_records_of_the_recorded_fit(): 'optimization.base_lr': '0.001', 'attempt': '1' }, tags={ + 'kumo.kind': 'trial', 'kumo.run_id': f'{RUN}-trial-2-attempt-1', - 'kumo.parent_run': RUN + 'kumo.parent_run': RUN, + 'kumo.status': 'failed', + 'kumo.error': 'OutOfMemoryError: CUDA out of memory', }) retry = records[f'{RUN}-trial-2-attempt-2'] assert retry.params['attempt'] == '2' + assert retry.tags['kumo.status'] == 'succeeded' + assert 'kumo.error' not in retry.tags assert retry.metrics == {'best_val_mae': 0.3, 'seconds': 4.0} assert retry.steps == { 'train_loss': ((1, 0.6), (2, 0.4)), @@ -345,6 +353,18 @@ def test_adapter_records_the_same_runs(adapter): tracker.capabilities, adapter.kept_params) == [] +def test_adapter_records_a_failed_fit(adapter): + tracker = adapter.make() + failed = _event('fit_ended', status='failed', error='ValueError: stop') + events = replay([tracker], [*EVENTS[:-1], failed], None, + ValueError('stop')) + + expected = expected_records(events, None) + assert expected[RUN].tags['kumo.error'] == 'ValueError: stop' + assert gaps(expected, adapter.observe(), tracker.capabilities, + adapter.kept_params) == [] + + def test_a_failing_tracker_does_not_affect_others(adapter, caplog): tracker = adapter.make() events = replay([_Raising(), tracker]) From a8317fb32ba6d78a172d89015004f431d05ced3e Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 08:16:54 +0000 Subject: [PATCH 089/123] Move the tracking adapter API to kumo.engine.tracking Problem: the top-level kumo.engine namespace exported Tracking, FitContext, RunRecord, Capabilities, run_record and trial_record, which only adapter authors use; users of fit(tracking=) never import them. Change: add the public module kumo.engine.tracking re-exporting that API and drop the names from kumo.engine. The README's custom-adapter example and the docstrings point at kumo.engine.tracking. Verification: test_tracking_contract.py and test_optional_imports.py. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/README.md | 5 +++-- packages/kumo-engine/kumo/engine/__init__.py | 14 ------------ .../kumo/engine/integrations/mlflow.py | 4 ++-- packages/kumo-engine/kumo/engine/tracking.py | 22 +++++++++++++++++++ .../kumo/engine/trainer/trainer.py | 2 +- .../test/test_tracking_contract.py | 14 ++++++------ 6 files changed, 35 insertions(+), 26 deletions(-) create mode 100644 packages/kumo-engine/kumo/engine/tracking.py diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index 0918d5f1c..c6667afe5 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -368,7 +368,8 @@ SageMaker managed MLflow set it to the tracking server ARN with the local store in the working directory. Pass a list to record to several trackers; each is isolated from the -others. Any other system plugs in through the `kumo.engine.Tracking` protocol: +others. Any other system plugs in through the `kumo.engine.tracking.Tracking` +protocol: - `start(context)`: a `FitContext` once the model plan is resolved; - `on_event(event)`: every progress `Event` (trial events carry @@ -396,7 +397,7 @@ tracker without its own run-to-model link still records them; `steps` are per-ep ```python import json -from kumo.engine import run_record, trial_record +from kumo.engine.tracking import run_record, trial_record class JsonTracking: def start(self, context): diff --git a/packages/kumo-engine/kumo/engine/__init__.py b/packages/kumo-engine/kumo/engine/__init__.py index d3f3ea6a8..873f35908 100644 --- a/packages/kumo-engine/kumo/engine/__init__.py +++ b/packages/kumo-engine/kumo/engine/__init__.py @@ -26,14 +26,6 @@ from kumoapi.table import Column from kumo.engine._events import Event -from kumo.engine._tracking import ( - Capabilities, - FitContext, - RunRecord, - Tracking, - run_record, - trial_record, -) from kumo.engine._version import __version__ from kumo.engine.config import configure from kumo.engine.connector import ( @@ -69,12 +61,6 @@ "__version__", "configure", "Event", - "FitContext", - "Tracking", - "Capabilities", - "RunRecord", - "run_record", - "trial_record", "EmbeddingModelStore", "GloVeVectors", "TokenEmbeddingModel", diff --git a/packages/kumo-engine/kumo/engine/integrations/mlflow.py b/packages/kumo-engine/kumo/engine/integrations/mlflow.py index bedbd8b46..1aa821238 100644 --- a/packages/kumo-engine/kumo/engine/integrations/mlflow.py +++ b/packages/kumo-engine/kumo/engine/integrations/mlflow.py @@ -3,8 +3,8 @@ # SPDX-License-Identifier: Apache-2.0 r"""MLflow tracking for `Trainer.fit` (``pip install 'kumo-engine[mlflow]'``). -Translates the engine's run records (`kumo.engine.run_record`, -`kumo.engine.trial_record`) into MLflow runs under their names. Each fit is +Translates the engine's run records (`kumo.engine.tracking.run_record`, +`kumo.engine.tracking.trial_record`) into MLflow runs under their names. Each fit is one MLflow run: nested under the caller's active run if there is one, else a new run in the current or named experiment. Each AutoML trial attempt is a child run with its searched hyperparameters, per-epoch metrics (step = epoch) diff --git a/packages/kumo-engine/kumo/engine/tracking.py b/packages/kumo-engine/kumo/engine/tracking.py new file mode 100644 index 000000000..6de001c02 --- /dev/null +++ b/packages/kumo-engine/kumo/engine/tracking.py @@ -0,0 +1,22 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. +# All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +r"""API for writing an experiment-tracking adapter for ``fit(tracking=...)``.""" + +from kumo.engine._tracking import ( + Capabilities, + FitContext, + RunRecord, + Tracking, + run_record, + trial_record, +) + +__all__ = [ + 'Tracking', + 'FitContext', + 'RunRecord', + 'Capabilities', + 'run_record', + 'trial_record', +] diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index a1f0d3e16..50fb4fffb 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -322,7 +322,7 @@ def fit( callbacks: called with each progress `Event`; a callback that raises is logged and not called again. tracking: records this fit in experiment trackers: one - `kumo.engine.Tracking` (e.g. + `kumo.engine.tracking.Tracking` (e.g. `kumo.engine.integrations.mlflow.MlflowTracking`) or a list or tuple of them. Tracking errors are logged as warnings and never fail the fit or the other trackers. diff --git a/packages/kumo-engine/test/test_tracking_contract.py b/packages/kumo-engine/test/test_tracking_contract.py index 2cc7022e9..cf1088fcf 100644 --- a/packages/kumo-engine/test/test_tracking_contract.py +++ b/packages/kumo-engine/test/test_tracking_contract.py @@ -19,19 +19,19 @@ import pytest from kumoapi.plugin import PublishedModel -from kumo.engine import ( +from kumo.engine import Event +from kumo.engine._tracking import ( + DROPPED_METRICS, + DROPPED_PARAMS, + TrackingSession, +) +from kumo.engine.tracking import ( Capabilities, - Event, FitContext, RunRecord, run_record, trial_record, ) -from kumo.engine._tracking import ( - DROPPED_METRICS, - DROPPED_PARAMS, - TrackingSession, -) RUN = 'trainer-fit-1' USER_TAGS = {'team': 'ents', 'kumo.run_id': 'overridden'} From 00987ae66b723df8d02d41022662b9c1024c0c74 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 08:19:06 +0000 Subject: [PATCH 090/123] Stop calling a tracker for the rest of the fit after it raises Problem: a tracker whose hook raised was still called for every later event, logging a warning each time, unlike fit callbacks, which are dropped after their first error. The Tracking docs also implied errors from returned Lightning loggers were contained, and on_event said it got every event although fit_started precedes start. Change: TrackingSession drops a tracker on its first exception (one warning). Tracking documents that returned Lightning loggers must not raise and that on_event receives every event after start. Verification: test_tracking_contract.py (new mid-fit failure case) and test_mlflow_tracking.py, 13 passed. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/README.md | 4 +- packages/kumo-engine/kumo/engine/_tracking.py | 56 ++++++++++--------- .../test/test_tracking_contract.py | 16 +++++- 3 files changed, 46 insertions(+), 30 deletions(-) diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index c6667afe5..4eb28d4a7 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -368,8 +368,8 @@ SageMaker managed MLflow set it to the tracking server ARN with the local store in the working directory. Pass a list to record to several trackers; each is isolated from the -others. Any other system plugs in through the `kumo.engine.tracking.Tracking` -protocol: +others, and one whose hook raises is not called again for that fit. Any other +system plugs in through the `kumo.engine.tracking.Tracking` protocol: - `start(context)`: a `FitContext` once the model plan is resolved; - `on_event(event)`: every progress `Event` (trial events carry diff --git a/packages/kumo-engine/kumo/engine/_tracking.py b/packages/kumo-engine/kumo/engine/_tracking.py index 3867c58cd..ad7ccdcae 100644 --- a/packages/kumo-engine/kumo/engine/_tracking.py +++ b/packages/kumo-engine/kumo/engine/_tracking.py @@ -224,13 +224,15 @@ class Tracking(Protocol): Pass an implementation (or a sequence of them) as ``fit(tracking=...)``. Hooks receive platform-neutral facts; build what to log with `run_record` - and `trial_record`. Only global rank 0 calls the hooks, and an error in - one is logged as a warning, never raised into the fit or other trackers. + and `trial_record`. Only global rank 0 calls the hooks. A hook that raises + is logged as a warning and its tracker is not called again for that fit; + it never fails the fit or affects other trackers. Optional members: - ``trial_logger(trial, attempt)``: a Lightning logger that also receives - that search-trial attempt's step metrics, or None. + that search-trial attempt's step metrics, or None. Lightning calls the + returned logger directly, so its methods must not raise. - ``capabilities``: a `Capabilities` declaring what the adapter records. """ def start(self, context: FitContext) -> None: @@ -238,8 +240,8 @@ def start(self, context: FitContext) -> None: ... def on_event(self, event: Event) -> None: - r"""Called for every progress event. Trial events carry - ``params['attempt']``.""" + r"""Called for every progress event after `start`. Trial events + carry ``params['attempt']``.""" ... def finish(self, result: Optional['TrainingResult'], @@ -252,7 +254,8 @@ def finish(self, result: Optional['TrainingResult'], class TrackingSession: - r"""Calls one fit's trackers, each best-effort and isolated.""" + r"""Calls one fit's trackers, each best-effort and isolated: a tracker + whose hook raises is dropped for the rest of the fit.""" def __init__(self, tracking: Trackers) -> None: if tracking is None or _rank() != 0: trackers: List[Tracking] = [] @@ -279,16 +282,12 @@ def start(self, context: Callable[[], FitContext]) -> None: exc_info=True) self._trackers = [] return - for tracker in self._trackers: - _call(tracker.start, value) + self._call_all('start', value) def trial_logger(self, trial: int, attempt: int) -> Optional[Any]: loggers = [ - pl_logger for pl_logger in ( - _call(tracker.trial_logger, trial, attempt) - for tracker in self._trackers - if callable(getattr(tracker, 'trial_logger', None))) - if pl_logger is not None + pl_logger for pl_logger in self._call_all( + 'trial_logger', trial, attempt) if pl_logger is not None ] return loggers or None @@ -300,24 +299,29 @@ def on_event(self, event: Event) -> None: except Exception: logger.warning('Could not read the trial attempt of %r', event, exc_info=True) - for tracker in self._trackers: - _call(tracker.on_event, event) + self._call_all('on_event', event) def finish(self, result: Optional['TrainingResult'], error: Optional[BaseException]) -> None: if not self._started: return - for tracker in self._trackers: - _call(tracker.finish, result, error) - - -def _call(hook: Callable[..., Any], *args: Any) -> Any: - try: - return hook(*args) - except Exception: - logger.warning('Experiment tracking failed; the fit continues', - exc_info=True) - return None + self._call_all('finish', result, error) + + def _call_all(self, hook: str, *args: Any) -> List[Any]: + values = [] + for tracker in list(self._trackers): + function = getattr(tracker, hook, None) + if not callable(function): + continue + try: + values.append(function(*args)) + except Exception: + logger.warning( + 'Experiment tracking failed in %r; it is off for the ' + 'rest of this fit, which continues', tracker, + exc_info=True) + self._trackers.remove(tracker) + return values def _with_attempt(event: Event, attempts: Dict[int, int]) -> Event: diff --git a/packages/kumo-engine/test/test_tracking_contract.py b/packages/kumo-engine/test/test_tracking_contract.py index cf1088fcf..b512bba87 100644 --- a/packages/kumo-engine/test/test_tracking_contract.py +++ b/packages/kumo-engine/test/test_tracking_contract.py @@ -371,8 +371,20 @@ def test_a_failing_tracker_does_not_affect_others(adapter, caplog): assert gaps(expected_records(events), adapter.observe(), tracker.capabilities, adapter.kept_params) == [] - hooks = 2 + len(EVENTS) + sum(e.name == 'trial_started' for e in EVENTS) - assert caplog.text.count('Experiment tracking failed') == hooks + assert caplog.text.count('Experiment tracking failed') == 1 + + +def test_a_tracker_that_raises_is_not_called_again(caplog): + class RaisesOnEvent(_Recorder): + def on_event(self, event): + super().on_event(event) + raise RuntimeError('tracker down') + + broken = RaisesOnEvent() + replay([broken]) + + assert [hook for hook, _ in broken.calls] == ['start', 'on_event'] + assert caplog.text.count('Experiment tracking failed') == 1 def test_gaps_compare_step_histories_when_declared(): From 9972e156a592f39bc65c40a88742a1783dfd7b0f Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 08:31:21 +0000 Subject: [PATCH 091/123] Trim tracking docstrings and tests of internals Problem: the MLflow module and the record types carried long essays restating the code and the README, and two contract tests checked the test harness and an internal logger merge already covered by a real fit. Change: shorten the module, RunRecord and Capabilities docs to what the code cannot say; drop the gaps-helper self-test, the trial-logger merge unit test and child-tag assertions that the contract test already makes. Verification: test_tracking_contract.py, test_mlflow_tracking.py and test_fit_events.py, 15 passed. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/kumo/engine/_tracking.py | 31 ++++--------- .../kumo/engine/integrations/mlflow.py | 30 +++---------- .../kumo-engine/test/test_mlflow_tracking.py | 4 -- .../test/test_tracking_contract.py | 43 ------------------- 4 files changed, 13 insertions(+), 95 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/_tracking.py b/packages/kumo-engine/kumo/engine/_tracking.py index ad7ccdcae..a84202d9f 100644 --- a/packages/kumo-engine/kumo/engine/_tracking.py +++ b/packages/kumo-engine/kumo/engine/_tracking.py @@ -1,8 +1,7 @@ # SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. # All rights reserved. # SPDX-License-Identifier: Apache-2.0 -r"""Experiment tracking for `Trainer.fit`: the platform-neutral run records -and the `Tracking` protocol that adapters implement.""" +r"""Platform-neutral run records and the `Tracking` protocol.""" import dataclasses import hashlib @@ -35,11 +34,9 @@ logger = logging.getLogger(__name__) -# Prefix of the metrics a `Tracking.trial_logger` receives from Lightning -# (step = Lightning's global step), so they never share a name with the -# record's per-epoch ``steps``. +# Lightning logs per global step; the prefix keeps those apart from the +# per-epoch ``steps``. LIGHTNING_PREFIX = 'lightning' -# Tags counting what an adapter skipped to fit its platform's limits. DROPPED_PARAMS = 'kumo.dropped_params' DROPPED_METRICS = 'kumo.dropped_metrics' @@ -58,12 +55,8 @@ class FitContext: @dataclass(frozen=True) class RunRecord: - r"""One tracked run in platform-neutral names; adapters translate it. - - ``steps`` maps a metric to its ``(step, value)`` history (step = epoch), - ``links`` holds ids of models published from the run (each also a - ``kumo.`` tag), and ``artifacts`` maps file names to text content. - """ + r"""One tracked run; ``steps`` are per-epoch ``(epoch, value)`` + histories and ``artifacts`` map file names to text.""" name: Optional[str] = None params: Mapping[str, str] = field(default_factory=dict) @@ -80,17 +73,9 @@ class Capabilities: r"""What a tracking adapter records beyond params, metrics and tags. Args: - nested_runs: trial runs are children of the fit run on the platform. - Without it they are flat runs linked by the ``kumo.parent_run`` - tag. - system_metrics: host CPU/GPU/memory usage is sampled on the fit run. - step_metrics: `RunRecord.steps` histories are recorded under their - names with step = epoch. - artifacts: `RunRecord.artifacts` are stored as files of the run. - model_link: a model published from the run to this platform's own - registry is also linked to it through the platform's run-to-model - link. Without it, and always in addition, `RunRecord.links` are - ``kumo.`` tags. + nested_runs: trial runs are child runs of the fit run. + model_link: published models are also linked through the platform's + own run-to-model link. """ nested_runs: bool = False diff --git a/packages/kumo-engine/kumo/engine/integrations/mlflow.py b/packages/kumo-engine/kumo/engine/integrations/mlflow.py index 1aa821238..a26f8762e 100644 --- a/packages/kumo-engine/kumo/engine/integrations/mlflow.py +++ b/packages/kumo-engine/kumo/engine/integrations/mlflow.py @@ -3,31 +3,11 @@ # SPDX-License-Identifier: Apache-2.0 r"""MLflow tracking for `Trainer.fit` (``pip install 'kumo-engine[mlflow]'``). -Translates the engine's run records (`kumo.engine.tracking.run_record`, -`kumo.engine.tracking.trial_record`) into MLflow runs under their names. Each fit is -one MLflow run: nested under the caller's active run if there is one, else a -new run in the current or named experiment. Each AutoML trial attempt is a -child run with its searched hyperparameters, per-epoch metrics (step = epoch) -and summary metrics; Lightning's own metrics on it are prefixed -``lightning-`` (step = Lightning's global step). The fit run gets the resolved -model plan, the query, user and ``kumo.*`` tags, and at the end the final -metrics and the finish-time tags (published model ids as ``kumo.model_*``, or -``kumo.error`` when the fit failed). A trial run gets ``kumo.status`` and, on -failure, ``kumo.error`` when it ends. -Trial runs still open when the fit ends (the fit failed mid-trial) are ended -FAILED. MLflow autologging is suspended for the fit, so it adds no runs of its -own. - -MLflow limits: params whose key MLflow rejects (characters outside -``[/\w.\- ]``, over 250 characters, or not a normalized relative path) or whose -value is over 6000 characters are not logged as params; the full plan is -always in the ``model_plan.json`` artifact, and the run's -``kumo.dropped_params`` tag counts the skipped ones. - -Any MLflow error is logged once as a warning and stops tracking for the rest of -that fit: only the fit run is then ended, and open trial runs are left as they -are. The fit itself is unaffected. Concurrent fits in one process are not -supported. +One run per fit (nested under the active run, if any) with a child run per +trial attempt. Params MLflow rejects are skipped and counted in +``kumo.dropped_params``; the full plan is in ``model_plan.json``. The first +MLflow error turns tracking off for the rest of the fit. Concurrent fits in one +process are not supported. """ import logging diff --git a/packages/kumo-engine/test/test_mlflow_tracking.py b/packages/kumo-engine/test/test_mlflow_tracking.py index 00de25704..0a5c862d8 100644 --- a/packages/kumo-engine/test/test_mlflow_tracking.py +++ b/packages/kumo-engine/test/test_mlflow_tracking.py @@ -140,10 +140,6 @@ def test_fit_logs_a_run_per_fit_and_per_trial(table_and_snapshot, caplog): assert child.data.tags['kumo.kind'] == 'trial' assert child.data.tags['kumo.status'] == 'succeeded' assert child.data.tags['mlflow.parentRunId'] == parent.info.run_id - assert child.data.tags['kumo.parent_run'] == ( - parent.data.tags['kumo.run_id']) - assert child.data.tags['kumo.run_id'] == ( - f"{parent.data.tags['kumo.run_id']}-{child.info.run_name}") assert child.data.params['attempt'] == '1' assert float(child.data.params['optimization.base_lr']) in (0.01, 0.001) assert {'best_val_mae', 'seconds', 'val_mae', diff --git a/packages/kumo-engine/test/test_tracking_contract.py b/packages/kumo-engine/test/test_tracking_contract.py index b512bba87..0f176beca 100644 --- a/packages/kumo-engine/test/test_tracking_contract.py +++ b/packages/kumo-engine/test/test_tracking_contract.py @@ -387,49 +387,6 @@ def on_event(self, event): assert caplog.text.count('Experiment tracking failed') == 1 -def test_gaps_compare_step_histories_when_declared(): - expected = expected_records(replay([])) - observed = { - run_id: - Observed( - name=record.name, params=record.params, metrics={ - **record.metrics, - **{ - k: v[-1][1] - for k, v in record.steps.items() - } - }, steps=record.steps, tags=record.tags) - for run_id, record in expected.items() - } - steps = Capabilities(step_metrics=True) - assert gaps(expected, observed, steps, dict) == [] - - retry = observed[f'{RUN}-trial-2-attempt-2'] - retry.steps = {**retry.steps, 'val_mae': ((10, 0.5), (20, 0.3))} - assert len(gaps(expected, observed, steps, dict)) == 1 - undeclared = gaps(expected, observed, Capabilities(), dict) - assert [gap.split()[1:3] - for gap in undeclared] == [['metric', 'names:']] * 2 - - -def test_session_merges_trial_loggers_and_skips_trackers_without_one(): - class WithLogger(_Recorder): - def __init__(self, pl_logger): - super().__init__() - self.pl_logger = pl_logger - - def trial_logger(self, trial, attempt): - return self.pl_logger - - one, two = object(), object() - session = TrackingSession(_Recorder()) - assert session.trial_logger(1, 1) is None - session = TrackingSession([_Recorder(), WithLogger(one), WithLogger(None)]) - assert session.trial_logger(1, 1) == [one] - session = TrackingSession([WithLogger(one), WithLogger(two)]) - assert session.trial_logger(1, 1) == [one, two] - - def test_only_rank_zero_tracks(monkeypatch): monkeypatch.setenv('LOCAL_RANK', '1') recorder = _Recorder() From 18a973d99b711e7f260cae357f1468ea2677fe29 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 09:38:01 +0000 Subject: [PATCH 092/123] Trim MLflow tracking to essentials The tracking PR carried long docstrings and README prose restating the code, a guard around an infallible attempt lookup, a per-run dropped-params tally for params logged once, a single-use child-run helper, and five real fits in the MLflow tests. Shorten docs to what a user needs, log epoch metrics straight from the event, fold the nesting/second-tracker case into the one real fit, and test MLflow outages and autologging with the recorded fit replay instead of training. Verified: test_mlflow_tracking.py, test_tracking_contract.py and test_fit_events.py 12 passed; core logger test 3 passed; flake8/isort clean. Co-Authored-By: Claude Opus 5.5 --- .../src/kumo_core/automl/auto_trainer.py | 5 +- .../kumo-core/src/kumo_core/train/trainer.py | 3 +- packages/kumo-core/tests/test_training.py | 12 +- packages/kumo-engine/README.md | 71 ++---- packages/kumo-engine/kumo/engine/_tracking.py | 56 +---- .../kumo/engine/integrations/mlflow.py | 84 +++---- .../kumo/engine/trainer/trainer.py | 8 +- packages/kumo-engine/pyproject.toml | 3 +- .../kumo-engine/test/test_mlflow_tracking.py | 214 ++++-------------- .../test/test_tracking_contract.py | 203 ++++++----------- setup.py | 3 +- 11 files changed, 174 insertions(+), 488 deletions(-) diff --git a/packages/kumo-core/src/kumo_core/automl/auto_trainer.py b/packages/kumo-core/src/kumo_core/automl/auto_trainer.py index dd8b2c707..2193a054c 100644 --- a/packages/kumo-core/src/kumo_core/automl/auto_trainer.py +++ b/packages/kumo-core/src/kumo_core/automl/auto_trainer.py @@ -210,9 +210,8 @@ class AutoTrainer: home_dir: The home directory used to resolve ``root_dir`` and to load/save :class:`TrainStatus`. If ``None``, the runtime supplies its default. - trial_logger: Called with ``(trial, attempt)`` for each search trial; - a returned Lightning logger (or list of them) also receives that - trial's metrics. + trial_logger: Called with ``(trial, attempt)``; may return a + Lightning logger for that trial. """ def __init__( self, diff --git a/packages/kumo-core/src/kumo_core/train/trainer.py b/packages/kumo-core/src/kumo_core/train/trainer.py index ffa96d85b..d054e8353 100644 --- a/packages/kumo-core/src/kumo_core/train/trainer.py +++ b/packages/kumo-core/src/kumo_core/train/trainer.py @@ -1432,8 +1432,7 @@ def create_pl_trainer(self): if self.fit_mode.is_refit: limit_val_batches = 0 - # TensorBoard stays first: Lightning's ``log_dir``, which the stopper - # reads, comes from the first logger. + # The stopper reads ``log_dir``, which comes from the first logger. pl_logger: Any = pl.loggers.TensorBoardLogger( save_dir=self.get_log_dir(local=True), name='', diff --git a/packages/kumo-core/tests/test_training.py b/packages/kumo-core/tests/test_training.py index 5c3de346e..61c36e882 100644 --- a/packages/kumo-core/tests/test_training.py +++ b/packages/kumo-core/tests/test_training.py @@ -542,14 +542,12 @@ def test_pl_trainer_keeps_tensorboard_and_adds_supplied_loggers( trainer.max_epochs = 1 supplied = [CSVLogger(str(tmp_path)) for _ in range(supplied_loggers)] trainer.kwargs = {"accelerator": "cpu"} - if supplied_loggers == 1: - trainer.kwargs["logger"] = supplied[0] - elif supplied_loggers: - trainer.kwargs["logger"] = supplied + if supplied: + trainer.kwargs["logger"] = (supplied[0] + if len(supplied) == 1 else supplied) trainer.create_pl_trainer() - loggers = trainer.pl_trainer.loggers - assert isinstance(loggers[0], TensorBoardLogger) - assert loggers[1:] == supplied + assert isinstance(trainer.pl_trainer.loggers[0], TensorBoardLogger) + assert trainer.pl_trainer.loggers[1:] == supplied assert trainer.pl_trainer.log_dir == str(tmp_path / "tensorboard") diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index 4eb28d4a7..f62cc928f 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -365,63 +365,20 @@ result = trainer.fit(training_table, snapshot=snapshot, MLflow runs go to `MLFLOW_TRACKING_URI`: on Databricks this is automatic; for SageMaker managed MLflow set it to the tracking server ARN with the `sagemaker-mlflow` plugin installed. With nothing configured MLflow writes a -local store in the working directory. - -Pass a list to record to several trackers; each is isolated from the -others, and one whose hook raises is not called again for that fit. Any other -system plugs in through the `kumo.engine.tracking.Tracking` protocol: - -- `start(context)`: a `FitContext` once the model plan is resolved; -- `on_event(event)`: every progress `Event` (trial events carry - `params["attempt"]`); -- `finish(result, error)`: once, when the fit returns or raises; -- optional `trial_logger(trial, attempt)`: a Lightning logger for one trial - attempt, or `None` (MLflow prefixes its metrics `lightning-`, since their - step is Lightning's global step, not the epoch); -- optional `capabilities`: a `Capabilities` stating what the adapter records - (nested runs, system metrics, step metrics, artifacts, model links). - -Build what to log with `run_record(context, result, fit_ended, tags=...)` and -`trial_record(context, trial_events)`, so every adapter uses the same -parameter, metric and tag names. Params are options and hyperparameters: the -task type and resolved model plan on a fit run, the searched hyperparameters -and attempt on a trial run. Ids and outcomes are `kumo.*` tags: `kumo.kind` -(`fit` or `trial`), `kumo.run_id`, `kumo.snapshot_id`, -`kumo.training_table_id` and `kumo.query_sha256` on the fit, `kumo.parent_run` -and, when it ends, `kumo.status` on a trial, and `kumo.error` (error type and -a short message) on a failed fit or trial. The `tags=` you pass are added under -their given names; ones named `kumo.*` or like a param are dropped with a -warning. Links to a published model (`model_name`, -`model_version`, `model_uri`) are also tags (`kumo.model_name`, ...), so a -tracker without its own run-to-model link still records them; `steps` are per-epoch histories (step = epoch). - -```python -import json -from kumo.engine.tracking import run_record, trial_record - -class JsonTracking: - def start(self, context): - self.context, self.trials, self.ended = context, {}, None - print(json.dumps({"run": run_record(context).tags})) - - def on_event(self, event): - if event.trial is not None: - key = (event.trial, event.params["attempt"]) - self.trials.setdefault(key, []).append(event) - if event.name == "trial_ended": - record = trial_record(self.context, self.trials.pop(key)) - print(json.dumps({"trial": record.name, "params": record.params, - "metrics": record.metrics})) - elif event.name == "fit_ended": - self.ended = event - - def finish(self, result, error): - if result is not None: - record = run_record(self.context, result, self.ended) - print(json.dumps({"metrics": record.metrics})) - -trainer.fit(training_table, snapshot=snapshot, tracking=JsonTracking()) -``` +local store in the working directory. Per-epoch metrics use step = epoch; +Lightning's per-step metrics are prefixed `lightning-`. + +Pass a list to record to several trackers; a tracker that raises is not +called again for that fit. Other systems plug in through the +`kumo.engine.tracking.Tracking` protocol: `start(context)`, `on_event(event)` +and `finish(result, error)`, plus an optional `trial_logger(trial, attempt)` +returning a Lightning logger. Build what to log with `run_record` and +`trial_record` so every tracker records the same names: params are the task +type and resolved model plan (fit) or searched hyperparameters and `attempt` +(trial); ids and outcomes are `kumo.*` tags (`kumo.kind`, `kumo.run_id`, +`kumo.snapshot_id`, `kumo.training_table_id`, `kumo.query_sha256`, +`kumo.parent_run`, `kumo.status`, `kumo.error`, `kumo.model_*`). Your `tags=` +are added as given, except `kumo.*` names and param names. ## BigQuery staged ingestion diff --git a/packages/kumo-engine/kumo/engine/_tracking.py b/packages/kumo-engine/kumo/engine/_tracking.py index a84202d9f..080fce259 100644 --- a/packages/kumo-engine/kumo/engine/_tracking.py +++ b/packages/kumo-engine/kumo/engine/_tracking.py @@ -34,8 +34,7 @@ logger = logging.getLogger(__name__) -# Lightning logs per global step; the prefix keeps those apart from the -# per-epoch ``steps``. +# Lightning logs per global step, apart from the per-epoch ``steps``. LIGHTNING_PREFIX = 'lightning' DROPPED_PARAMS = 'kumo.dropped_params' DROPPED_METRICS = 'kumo.dropped_metrics' @@ -70,13 +69,7 @@ class RunRecord: @dataclass(frozen=True) class Capabilities: - r"""What a tracking adapter records beyond params, metrics and tags. - - Args: - nested_runs: trial runs are child runs of the fit run. - model_link: published models are also linked through the platform's - own run-to-model link. - """ + r"""What a tracking adapter records beyond params, metrics and tags.""" nested_runs: bool = False system_metrics: bool = False @@ -88,13 +81,7 @@ class Capabilities: def run_record(context: FitContext, result: Optional['TrainingResult'] = None, fit_ended: Optional[Event] = None, *, tags: Optional[Mapping[str, str]] = None) -> RunRecord: - r"""The fit run's record; metrics need `result` and the ``fit_ended`` - event, which also sets ``kumo.error`` when the fit failed. - - ``tags`` (an adapter's user-supplied tags) pass through under their given - names, except ``kumo.*`` names, which only the engine sets, and names of - the record's params (both dropped with a warning). - """ + r"""The fit run's record; ``tags`` are the user's extra tags.""" metrics: Dict[str, float] = {} links: Dict[str, str] = {} if result is not None: @@ -146,8 +133,7 @@ def _user_tags(tags: Optional[Mapping[str, Any]], if key.startswith('kumo.') or key in params) if dropped: warnings.warn( - f'Tracking tags {dropped} are not recorded: kumo.* tags are set ' - f'by the engine, and a tag may not share a param\'s name.', + f'Tracking tags {dropped} are reserved and not recorded.', UserWarning, stacklevel=3) return { key: str(value) @@ -162,9 +148,7 @@ def _error_tag(ended: Optional[Event]) -> Dict[str, str]: def trial_record(context: FitContext, events: Sequence[Event]) -> RunRecord: - r"""One trial attempt's record from its events so far: ``trial_started``, - then ``epoch_ended`` and ``trial_ended`` (which sets ``kumo.status`` and, - on failure, ``kumo.error``).""" + r"""One trial attempt's record from its events so far.""" started = next(event for event in events if event.name == 'trial_started') trial, attempt = started.trial, int(started.params['attempt']) params: Dict[str, str] = { @@ -207,31 +191,17 @@ def trial_record(context: FitContext, events: Sequence[Event]) -> RunRecord: class Tracking(Protocol): r"""Records one `Trainer.fit` in an experiment tracker. - Pass an implementation (or a sequence of them) as ``fit(tracking=...)``. - Hooks receive platform-neutral facts; build what to log with `run_record` - and `trial_record`. Only global rank 0 calls the hooks. A hook that raises - is logged as a warning and its tracker is not called again for that fit; - it never fails the fit or affects other trackers. - - Optional members: - - - ``trial_logger(trial, attempt)``: a Lightning logger that also receives - that search-trial attempt's step metrics, or None. Lightning calls the - returned logger directly, so its methods must not raise. - - ``capabilities``: a `Capabilities` declaring what the adapter records. + Optional members: ``trial_logger(trial, attempt)`` returning a Lightning + logger (whose methods must not raise) or None, and ``capabilities``. """ def start(self, context: FitContext) -> None: - r"""Called once the model plan is resolved.""" ... def on_event(self, event: Event) -> None: - r"""Called for every progress event after `start`. Trial events - carry ``params['attempt']``.""" ... def finish(self, result: Optional['TrainingResult'], error: Optional[BaseException]) -> None: - r"""Called once when the fit returns or raises.""" ... @@ -239,8 +209,6 @@ def finish(self, result: Optional['TrainingResult'], class TrackingSession: - r"""Calls one fit's trackers, each best-effort and isolated: a tracker - whose hook raises is dropped for the rest of the fit.""" def __init__(self, tracking: Trackers) -> None: if tracking is None or _rank() != 0: trackers: List[Tracking] = [] @@ -279,12 +247,7 @@ def trial_logger(self, trial: int, attempt: int) -> Optional[Any]: def on_event(self, event: Event) -> None: if not self._started: return - try: - event = _with_attempt(event, self._attempts) - except Exception: - logger.warning('Could not read the trial attempt of %r', event, - exc_info=True) - self._call_all('on_event', event) + self._call_all('on_event', _with_attempt(event, self._attempts)) def finish(self, result: Optional['TrainingResult'], error: Optional[BaseException]) -> None: @@ -303,8 +266,7 @@ def _call_all(self, hook: str, *args: Any) -> List[Any]: except Exception: logger.warning( 'Experiment tracking failed in %r; it is off for the ' - 'rest of this fit, which continues', tracker, - exc_info=True) + 'rest of this fit', tracker, exc_info=True) self._trackers.remove(tracker) return values diff --git a/packages/kumo-engine/kumo/engine/integrations/mlflow.py b/packages/kumo-engine/kumo/engine/integrations/mlflow.py index a26f8762e..f5098a47b 100644 --- a/packages/kumo-engine/kumo/engine/integrations/mlflow.py +++ b/packages/kumo-engine/kumo/engine/integrations/mlflow.py @@ -2,12 +2,6 @@ # All rights reserved. # SPDX-License-Identifier: Apache-2.0 r"""MLflow tracking for `Trainer.fit` (``pip install 'kumo-engine[mlflow]'``). - -One run per fit (nested under the active run, if any) with a child run per -trial attempt. Params MLflow rejects are skipped and counted in -``kumo.dropped_params``; the full plan is in ``model_plan.json``. The first -MLflow error turns tracking off for the rest of the fit. Concurrent fits in one -process are not supported. """ import logging @@ -25,7 +19,6 @@ LIGHTNING_PREFIX, Capabilities, FitContext, - RunRecord, run_record, trial_record, ) @@ -40,7 +33,10 @@ class MlflowTracking: - r"""Records `Trainer.fit` in MLflow; pass as ``fit(tracking=...)``. + r"""Records `Trainer.fit` in MLflow: one run per fit (nested under the + active run, if any) with a child run per trial attempt. Params MLflow + rejects are counted in ``kumo.dropped_params``. Concurrent fits in one + process are not supported. Args: experiment_name: experiment for the fit run, created if missing. @@ -48,10 +44,7 @@ class MlflowTracking: run_name: name of the fit run. `None` lets MLflow pick one. log_system_metrics: sample CPU, memory, disk, network and (with ``nvidia-ml-py``) GPU usage on the fit run. - tags: extra tags for the fit run, under their given names. - - Raises: - ImportError: if mlflow is not installed. + tags: extra tags for the fit run. """ capabilities = Capabilities(nested_runs=True, system_metrics=True, @@ -80,7 +73,6 @@ def _reset(self) -> None: self._children: Dict[Tuple[int, int], str] = {} self._trials: Dict[Tuple[int, int], List[Event]] = {} self._fit_ended: Optional[Event] = None - self._dropped: Dict[str, int] = {} self._guard = ExitStack() def start(self, context: FitContext) -> None: @@ -90,14 +82,13 @@ def start(self, context: FitContext) -> None: try: autologging = import_provider('mlflow.utils.autologging_utils', 'mlflow') - # Not reentrant: leaving it clears the flag, so never nest it. + # Not reentrant: leaving it clears the flag. if not getattr(autologging, '_AUTOLOGGING_GLOBALLY_DISABLED', False): self._guard.enter_context(autologging.disable_autologging()) except Exception: - logger.warning( - 'Could not suspend MLflow autologging; it may log the ' - 'internal trial fits as extra runs', exc_info=True) + logger.warning('Could not suspend MLflow autologging', + exc_info=True) self._safe(self._start_parent, context) def trial_logger(self, trial: int, attempt: int) -> Optional[Any]: @@ -110,8 +101,9 @@ def on_event(self, event: Event) -> None: events.append(event) if event.name == 'trial_started': self._safe(self._start_trial, key, events) - elif event.name == 'epoch_ended' and event.epoch is not None: - self._safe(self._log_steps, key, events, event.epoch) + elif event.name == 'epoch_ended': + self._safe(self._log_metrics, self._children.get(key), + event.metrics, event.epoch or 0) elif event.name == 'trial_ended': self._safe(self._end_trial, key, events, event) elif event.name == 'fit_ended': @@ -160,19 +152,11 @@ def _start_parent(self, context: FitContext) -> None: def _start_trial(self, key: Tuple[int, int], events: List[Event]) -> None: record = trial_record(self._context, events) - self._log_params(self._child(key, record), record.params) - - def _child(self, key: Tuple[int, int], record: RunRecord) -> str: - if key not in self._children: - run = self._client.create_run( - self._experiment_id, - run_name=record.name, - tags={ - **record.tags, 'mlflow.parentRunId': self._parent - }, - ) - self._children[key] = run.info.run_id - return self._children[key] + run = self._client.create_run( + self._experiment_id, run_name=record.name, + tags={**record.tags, 'mlflow.parentRunId': self._parent}) + self._children[key] = run.info.run_id + self._log_params(run.info.run_id, record.params) def _trial_logger(self, trial: int, attempt: int) -> Optional['_KumoMLFlowLogger']: @@ -182,21 +166,11 @@ def _trial_logger(self, trial: int, trial_logger = _KumoMLFlowLogger( self, run_id=run_id, tracking_uri=self._mlflow.get_tracking_uri(), log_model=False, prefix=LIGHTNING_PREFIX) - # Lightning resolves these lazily, outside our error handling. + # Lightning resolves these lazily, outside `_safe`. trial_logger.experiment trial_logger.version return trial_logger - def _log_steps(self, key: Tuple[int, int], events: List[Event], - epoch: int) -> None: - record = trial_record(self._context, events) - self._log_metrics( - self._children.get(key), { - name: history[-1][1] - for name, history in record.steps.items() - if history[-1][0] == epoch - }, step=epoch) - def _end_trial(self, key: Tuple[int, int], events: List[Event], event: Event) -> None: record = trial_record(self._context, events) @@ -215,7 +189,7 @@ def _log_result(self, result: Any) -> None: self._log_tags(self._parent, record.tags) def _log_tags(self, run_id: str, tags: Mapping[str, str]) -> None: - entities = import_provider('mlflow.entities', 'mlflow') + entities = self._mlflow.entities self._client.log_batch( run_id, tags=[ entities.RunTag(key, value) @@ -223,13 +197,10 @@ def _log_tags(self, run_id: str, tags: Mapping[str, str]) -> None: ]) def _log_params(self, run_id: str, params: Mapping[str, str]) -> None: - entities = import_provider('mlflow.entities', 'mlflow') + entities = self._mlflow.entities kept = _mlflow_params(params) dropped = len(params) - len(kept) - tags = [] - if dropped: - self._dropped[run_id] = self._dropped.get(run_id, 0) + dropped - tags = [entities.RunTag(DROPPED_PARAMS, str(self._dropped[run_id]))] + tags = [entities.RunTag(DROPPED_PARAMS, str(dropped))] if dropped else [] self._client.log_batch( run_id, params=[ entities.Param(key, value) @@ -240,7 +211,7 @@ def _log_metrics(self, run_id: Optional[str], metrics: Mapping[str, float], step: int = 0) -> None: if run_id is None or not metrics: return - entities = import_provider('mlflow.entities', 'mlflow') + entities = self._mlflow.entities timestamp = int(time.time() * 1000) self._client.log_batch( run_id, metrics=[ @@ -248,23 +219,20 @@ def _log_metrics(self, run_id: Optional[str], for key, value in metrics.items() ]) - def _safe(self, function: Callable[..., Any], *args: Any, - **kwargs: Any) -> Any: + def _safe(self, function: Callable[..., Any], *args: Any) -> Any: if not self._enabled: return None try: - return function(*args, **kwargs) + return function(*args) except Exception: logger.warning( - 'MLflow tracking failed; it is off for the rest of this fit, ' - 'which continues', exc_info=True) + 'MLflow tracking failed; it is off for the rest of this fit', + exc_info=True) self._enabled = False return None class _KumoMLFlowLogger(MLFlowLogger): - r"""Logs one trial's Lightning metrics to an existing child run. The - tracker, not Lightning, ends the run.""" def __init__(self, tracking: MlflowTracking, **kwargs: Any) -> None: super().__init__(**kwargs) self._tracking = tracking @@ -277,7 +245,7 @@ def log_hyperparams(self, params: Any) -> None: self._tracking._safe(super().log_hyperparams, params) def finalize(self, status: str = 'success') -> None: - pass + pass # the tracker ends the run def _mlflow_params(params: Mapping[str, str]) -> Dict[str, str]: diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index 50fb4fffb..3357d3626 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -321,11 +321,9 @@ def fit( match. Forecasting warm starts are unsupported. callbacks: called with each progress `Event`; a callback that raises is logged and not called again. - tracking: records this fit in experiment trackers: one - `kumo.engine.tracking.Tracking` (e.g. - `kumo.engine.integrations.mlflow.MlflowTracking`) or a list or - tuple of them. Tracking errors are logged as warnings and - never fail the fit or the other trackers. + tracking: one `kumo.engine.tracking.Tracking` (e.g. + `kumo.engine.integrations.mlflow.MlflowTracking`) or a list of + them; tracking errors are logged, never raised. """ if export_config is not None and not callable( getattr(export_config.connector.sink_backend, 'publish_model', diff --git a/packages/kumo-engine/pyproject.toml b/packages/kumo-engine/pyproject.toml index 3db170f48..2dde89333 100644 --- a/packages/kumo-engine/pyproject.toml +++ b/packages/kumo-engine/pyproject.toml @@ -62,8 +62,7 @@ text=[ gcs=[ "kumo-gcs>=0.1.0.dev1", ] -# MLflow tracking; nvidia-ml-py adds GPU system metrics (psutil, for the -# rest, comes with kumo-core). +# nvidia-ml-py adds GPU system metrics. mlflow=[ "mlflow>=3.0,<4", "nvidia-ml-py", diff --git a/packages/kumo-engine/test/test_mlflow_tracking.py b/packages/kumo-engine/test/test_mlflow_tracking.py index 0a5c862d8..14d3b6202 100644 --- a/packages/kumo-engine/test/test_mlflow_tracking.py +++ b/packages/kumo-engine/test/test_mlflow_tracking.py @@ -2,7 +2,6 @@ # All rights reserved. # SPDX-License-Identifier: Apache-2.0 -import hashlib import json import numpy as np @@ -10,11 +9,13 @@ import pytest from kumoapi.encoder import Numerical from kumoapi.model_plan import ModelPlan +from test_tracking_contract import CONTEXT, replay import kumo.engine as kumo from kumo.engine._scratch import get_scratch_dir mlflow = pytest.importorskip('mlflow') +autologging_utils = pytest.importorskip('mlflow.utils.autologging_utils') QUERY = 'PREDICT ents.Y FOR EACH ents.ID' @@ -57,153 +58,70 @@ def table_and_snapshot(tmp_path, tracking_uri): kumo.configure(scratch_dir=previous_scratch) -def _plan(): - plan = ModelPlan() - plan.training_job.num_experiments = 2 - plan.training_job.disable_explain = True - plan.optimization.max_epochs = 2 - plan.optimization.max_steps_per_epoch = 2 - plan.optimization.base_lr = [0.01, 0.001] - return plan - - -def _bundle_files(result): - return sorted( - str(path.relative_to(result.bundle_dir)) - for path in result.bundle_dir.rglob('*')) - - def _runs(client): return client.search_runs( [e.experiment_id for e in client.search_experiments()]) def test_fit_logs_a_run_per_fit_and_per_trial(table_and_snapshot, caplog): - from mlflow.utils import autologging_utils - from kumo.engine.integrations.mlflow import MlflowTracking table, snapshot = table_and_snapshot client = mlflow.MlflowClient() - plan = _plan() + plan = ModelPlan() + plan.training_job.num_experiments = 2 + plan.training_job.disable_explain = True + plan.optimization.max_epochs = 2 + plan.optimization.max_steps_per_epoch = 2 + plan.optimization.base_lr = [0.01, 0.001] plan.column_processing.encoder_overrides = { 'ents.amount ($)': Numerical('standard') } mlflow.pytorch.autolog() try: - result = kumo.Trainer(plan).fit( - table, snapshot=snapshot, - tracking=MlflowTracking(experiment_name='ents', run_name='fit', - tags={'team': 'a'})) + with mlflow.start_run() as outer: + result = kumo.Trainer(plan).fit( + table, snapshot=snapshot, + tracking=MlflowTracking(experiment_name='ents')) + assert mlflow.active_run().info.run_id == outer.info.run_id assert autologging_utils._AUTOLOGGING_GLOBALLY_DISABLED is False finally: mlflow.pytorch.autolog(disable=True) runs = _runs(client) - parent, = [run for run in runs if 'mlflow.parentRunId' not in run.data.tags] - children = sorted((run for run in runs if run is not parent), - key=lambda run: run.info.run_name) + parent, = [ + run for run in runs + if run.data.tags.get('mlflow.parentRunId') == outer.info.run_id + ] + children = sorted( + (run for run in runs + if run.data.tags.get('mlflow.parentRunId') == parent.info.run_id), + key=lambda run: run.info.run_name) + assert len(runs) == 4 assert client.get_experiment(parent.info.experiment_id).name == 'ents' - assert parent.info.run_name == 'fit' assert parent.info.status == 'FINISHED' - assert parent.data.tags['team'] == 'a' assert parent.data.tags['kumo.snapshot_id'] == snapshot.id - assert parent.data.tags['kumo.engine_version'] == kumo.__version__ assert int(parent.data.tags['kumo.dropped_params']) >= 1 - assert parent.data.tags['kumo.kind'] == 'fit' - assert parent.data.tags['kumo.query_sha256'] == hashlib.sha256( - QUERY.encode()).hexdigest() params = parent.data.params - assert params['task_type'] == 'regression' - assert 'snapshot_id' not in params assert json.loads(params['optimization.base_lr']) == [0.01, 0.001] + assert not any('$' in name for name in params) metrics = { name: value for name, value in parent.data.metrics.items() if not name.startswith('system/') } assert metrics == {**result.metrics, 'seconds': metrics['seconds']} - artifacts = {a.path for a in client.list_artifacts(parent.info.run_id)} - assert {'query.pql', 'model_plan.json'} <= artifacts - plan = mlflow.artifacts.load_dict( - f'{parent.info.artifact_uri}/model_plan.json') - assert plan['optimization']['base_lr'] == [0.01, 0.001] - # Keys MLflow would reject (column names) stay in the JSON only. - assert 'amount ($)' in json.dumps(plan) - assert not any('$' in name for name in params) assert 'MLflow tracking failed' not in caplog.text assert [run.info.run_name for run in children] == ['trial-1-attempt-1', 'trial-2-attempt-1'] for child in children: assert child.info.status == 'FINISHED' - assert child.data.tags['kumo.kind'] == 'trial' assert child.data.tags['kumo.status'] == 'succeeded' - assert child.data.tags['mlflow.parentRunId'] == parent.info.run_id - assert child.data.params['attempt'] == '1' - assert float(child.data.params['optimization.base_lr']) in (0.01, 0.001) assert {'best_val_mae', 'seconds', 'val_mae', 'lightning-epoch'} <= set(child.data.metrics) history = client.get_metric_history(child.info.run_id, 'val_mae') assert sorted(metric.step for metric in history) == [1, 2] - epochs = client.get_metric_history(child.info.run_id, - 'lightning-epoch') - assert {0, 1} <= {metric.value for metric in epochs} - - -def test_fit_nests_under_the_active_run_beside_another_tracker( - table_and_snapshot, tmp_path): - from mlflow.utils import autologging_utils - from pytorch_lightning.loggers import CSVLogger - - from kumo.engine.integrations.mlflow import MlflowTracking - - class CsvTracking: - def __init__(self): - self.events = [] - - def start(self, context): - pass - - def on_event(self, event): - self.events.append(event) - - def finish(self, result, error): - pass - - def trial_logger(self, trial, attempt): - return CSVLogger(str(tmp_path / 'csv'), name=f'trial-{trial}') - - table, snapshot = table_and_snapshot - client = mlflow.MlflowClient() - plan = _plan() - plan.training_job.num_experiments = 1 - csv = CsvTracking() - with mlflow.start_run() as outer, \ - autologging_utils.disable_autologging(): - kumo.Trainer(plan).fit( - table, snapshot=snapshot, - tracking=[MlflowTracking(log_system_metrics=False), csv]) - assert mlflow.active_run().info.run_id == outer.info.run_id - assert autologging_utils._AUTOLOGGING_GLOBALLY_DISABLED is True - - runs = {run.info.run_id: run for run in _runs(client)} - parent, = [ - run for run in runs.values() - if run.data.tags.get('mlflow.parentRunId') == outer.info.run_id - ] - child, = [ - run for run in runs.values() - if run.data.tags.get('mlflow.parentRunId') == parent.info.run_id - ] - assert len(runs) == 3 - assert parent.info.status == child.info.status == 'FINISHED' - assert 'val_mae' in client.get_run(child.info.run_id).data.metrics - assert list((tmp_path / 'csv' / 'trial-1').rglob('metrics.csv')) - assert [ - event.params['attempt'] for event in csv.events - if event.name == 'epoch_ended' - ] == [1, 1] def test_failed_fit_marks_the_run_failed(table_and_snapshot, monkeypatch): @@ -211,90 +129,54 @@ def test_failed_fit_marks_the_run_failed(table_and_snapshot, monkeypatch): from kumo.engine.integrations.mlflow import MlflowTracking - error = ValueError('stop') - def fail(*args, **kwargs): - raise error + raise ValueError('stop') monkeypatch.setattr(orchestration, 'run_callable_training', fail) table, snapshot = table_and_snapshot - with pytest.raises(ValueError) as raised: - kumo.Trainer(_plan()).fit(table, snapshot=snapshot, - tracking=MlflowTracking()) + with pytest.raises(ValueError, match='stop'): + kumo.Trainer(ModelPlan()).fit(table, snapshot=snapshot, + tracking=MlflowTracking()) - assert raised.value is error run, = _runs(mlflow.MlflowClient()) assert run.info.status == 'FAILED' assert run.data.tags['kumo.error'] == 'ValueError: stop' assert mlflow.active_run() is None -def test_mlflow_errors_do_not_change_the_fit(table_and_snapshot, monkeypatch, - caplog): +@pytest.mark.parametrize('broken', ['log_batch', 'get_run']) +def test_mlflow_errors_are_logged_once_not_raised(tracking_uri, monkeypatch, + caplog, broken): from mlflow.tracking import MlflowClient - import kumo.engine.trainer._runtime as runtime_module from kumo.engine.integrations.mlflow import MlflowTracking - table, snapshot = table_and_snapshot - bind = runtime_module.local_training_bindings - hooks = [] - - def spy(*args, trial_logger=None, **kwargs): - hooks.append(trial_logger) - return bind(*args, trial_logger=trial_logger, **kwargs) - - monkeypatch.setattr(runtime_module, 'local_training_bindings', spy) - baseline = kumo.Trainer(_plan()).fit(table, snapshot=snapshot) + original = getattr(MlflowClient, broken) - assert hooks == [None] - assert list(baseline.bundle_dir.parent.rglob('tensorboard')) - - log_batch = MlflowClient.log_batch - - def broken(self, run_id, metrics=(), **kwargs): - if metrics: + def down(self, *args, metrics=(), **kwargs): + if broken == 'get_run' or metrics: raise RuntimeError('tracking server down') - return log_batch(self, run_id, metrics=metrics, **kwargs) + return original(self, *args, **kwargs) - monkeypatch.setattr(MlflowClient, 'log_batch', broken) - result = kumo.Trainer(_plan()).fit( - table, snapshot=snapshot, - tracking=MlflowTracking(log_system_metrics=False)) + monkeypatch.setattr(MlflowClient, broken, down) + replay([MlflowTracking(log_system_metrics=False)]) - # Fits are not seeded, so values differ run to run; the shape must not. - assert set(result.metrics) == set(baseline.metrics) - assert _bundle_files(result) == _bundle_files(baseline) assert caplog.text.count('MLflow tracking failed') == 1 - assert 'tracking server down' in caplog.text - parent, = [ - run for run in _runs(mlflow.MlflowClient()) - if 'mlflow.parentRunId' not in run.data.tags - ] - assert parent.info.status == 'FINISHED' assert mlflow.active_run() is None + if broken == 'log_batch': + parent, = [ + run for run in _runs(mlflow.MlflowClient()) + if 'mlflow.parentRunId' not in run.data.tags + ] + assert parent.info.status == 'FINISHED' -def test_lazy_lightning_lookups_failing_do_not_fail_the_fit( - table_and_snapshot, monkeypatch, caplog): - from mlflow.tracking import MlflowClient - +def test_user_disabled_autologging_stays_disabled(tracking_uri): from kumo.engine.integrations.mlflow import MlflowTracking - def down(self, run_id): - raise RuntimeError('tracking server down') - - monkeypatch.setattr(MlflowClient, 'get_run', down) - table, snapshot = table_and_snapshot - plan = _plan() - plan.training_job.num_experiments = 1 - - result = kumo.Trainer(plan).fit( - table, snapshot=snapshot, - tracking=MlflowTracking(log_system_metrics=False)) - - assert 'val_mae' in result.metrics - assert caplog.text.count('MLflow tracking failed') == 1 - assert 'Trial failed' not in caplog.text - assert mlflow.active_run() is None + tracker = MlflowTracking(log_system_metrics=False) + with autologging_utils.disable_autologging(): + tracker.start(CONTEXT) + tracker.finish(None, None) + assert autologging_utils._AUTOLOGGING_GLOBALLY_DISABLED is True diff --git a/packages/kumo-engine/test/test_tracking_contract.py b/packages/kumo-engine/test/test_tracking_contract.py index 0f176beca..180b7c6cf 100644 --- a/packages/kumo-engine/test/test_tracking_contract.py +++ b/packages/kumo-engine/test/test_tracking_contract.py @@ -1,14 +1,7 @@ # SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. # All rights reserved. # SPDX-License-Identifier: Apache-2.0 -"""Every tracking adapter records the same run records. - -A recorded fake fit (fixed context, events and result) is replayed through -`TrackingSession` into an adapter; what the adapter stored is read back and -compared with `run_record`/`trial_record`, allowing only the gaps its -`Capabilities` declare and the params its platform limits drop (counted in -``kumo.dropped_params``). A new adapter is one more `adapter` fixture param. -""" +"""Every tracking adapter records the same run records as a recorded fit.""" import hashlib import json @@ -39,17 +32,10 @@ CONTEXT = FitContext( run_id=RUN, task_type='regression', snapshot_id='snap@1', training_table_id='tt-1', query=QUERY, model_plan={ - 'optimization': { - 'base_lr': [0.01, 0.001], - 'max_epochs': 2 - }, - 'training_job': { - 'tune_metric': 'mae' - }, + 'optimization': {'base_lr': [0.01, 0.001], 'max_epochs': 2}, + 'training_job': {'tune_metric': 'mae'}, 'column_processing': { - 'encoder_overrides': { - 'ents.amount ($)': 'numerical' - } + 'encoder_overrides': {'ents.amount ($)': 'numerical'} }, }) @@ -61,46 +47,33 @@ def _event(name, trial=None, epoch=None, metrics=None, **params): def _epochs(trial, *values): return [ - _event('epoch_ended', trial, epoch, { - 'train_loss': loss, - 'val_mae': mae - }) for epoch, (loss, mae) in enumerate(values, 1) + _event('epoch_ended', trial, epoch, {'train_loss': loss, + 'val_mae': mae}) + for epoch, (loss, mae) in enumerate(values, 1) ] -# Two trials of two epochs; trial 2's first attempt runs out of memory. Epoch -# events carry no attempt, as kumo-core emits them. +# Trial 2's first attempt fails; epoch events carry no attempt, as in core. EVENTS = [ _event('trial_started', 1, attempt=1, **{'optimization.base_lr': 0.01}), *_epochs(1, (0.5, 0.4), (0.3, 0.35)), - _event('trial_ended', 1, metrics={ - 'val_mae': 0.35, - 'seconds': 3.0 - }, status='succeeded', attempt=1), + _event('trial_ended', 1, metrics={'val_mae': 0.35, 'seconds': 3.0}, + status='succeeded', attempt=1), _event('trial_started', 2, attempt=1, **{'optimization.base_lr': 0.001}), _event('trial_ended', 2, status='failed', attempt=1, error='OutOfMemoryError: CUDA out of memory'), - _event('trial_started', 2, attempt=2, **{ - 'optimization.base_lr': 0.001, - 'optimization.batch_size': 256 - }), + _event('trial_started', 2, attempt=2, **{'optimization.base_lr': 0.001, + 'optimization.batch_size': 256}), *_epochs(2, (0.6, 0.5), (0.4, 0.3)), - _event('trial_ended', 2, metrics={ - 'val_mae': 0.3, - 'seconds': 4.0 - }, status='succeeded', attempt=2), - _event('fit_ended', metrics={ - 'val_mae': 0.3, - 'test_mae': 0.32, - 'seconds': 9.0 - }, status='succeeded'), + _event('trial_ended', 2, metrics={'val_mae': 0.3, 'seconds': 4.0}, + status='succeeded', attempt=2), + _event('fit_ended', metrics={'val_mae': 0.3, 'test_mae': 0.32, + 'seconds': 9.0}, status='succeeded'), ] RESULT = SimpleNamespace( - metrics={ - 'val_mae': 0.3, - 'test_mae': 0.32 - }, published_model=PublishedModel(name='ents-model', version='3', - uri='models:/ents-model/3')) + metrics={'val_mae': 0.3, 'test_mae': 0.32}, + published_model=PublishedModel(name='ents-model', version='3', + uri='models:/ents-model/3')) class _Recorder: @@ -121,18 +94,9 @@ def events(self): return [value for hook, value in self.calls if hook == 'on_event'] -class _Raising: - def _raise(self, *args): - raise RuntimeError('tracker down') - - start = on_event = trial_logger = finish = _raise - - def replay(trackers, events=EVENTS, result=RESULT, error=None) -> List[Event]: - r"""Feeds the recorded fit to `trackers` as `Trainer.fit` would; returns - the events trackers saw. Trial loggers are requested but not fed: what - Lightning logs through them is outside the record.""" + r"""Feeds the recorded fit to `trackers`; returns the events they saw.""" recorder = _Recorder() session = TrackingSession([recorder, *trackers]) session.start(lambda: CONTEXT) @@ -161,8 +125,6 @@ def expected_records(events: List[Event], @dataclass class Observed: - r"""One run as an adapter stored it, keyed by its ``kumo.run_id``.""" - name: Optional[str] params: Mapping[str, str] metrics: Mapping[str, float] @@ -180,20 +142,15 @@ class Adapter: kept_params: Callable[[Mapping[str, str]], Mapping[str, str]] = dict -def gaps( - expected: Dict[str, RunRecord], observed: Dict[str, Observed], - capabilities: Capabilities, - kept_params: Callable[[Mapping[str, str]], Mapping[str, - str]]) -> List[str]: - r"""Differences not explained by `capabilities` or the platform limits.""" +def gaps(expected: Dict[str, RunRecord], observed: Dict[str, Observed], + capabilities: Capabilities, kept_params: Callable) -> List[str]: found = [] if set(observed) != set(expected): return [f'runs {sorted(observed)} != {sorted(expected)}'] - dropped = sum( - len(record.params) - len(kept_params(record.params)) - for record in expected.values()) - counted = sum( - int(seen.tags.get(DROPPED_PARAMS, 0)) for seen in observed.values()) + dropped = sum(len(record.params) - len(kept_params(record.params)) + for record in expected.values()) + counted = sum(int(seen.tags.get(DROPPED_PARAMS, 0)) + for seen in observed.values()) if counted != dropped: found.append(f'{DROPPED_PARAMS}: {counted} != {dropped}') for run_id, record in expected.items(): @@ -206,16 +163,16 @@ def differ(what, have, want): if record.name is not None: differ('name', seen.name, record.name) differ('params', dict(seen.params), dict(kept_params(record.params))) - differ('metrics', {k: seen.metrics.get(k) - for k in record.metrics}, dict(record.metrics)) + differ('metrics', {k: seen.metrics.get(k) for k in record.metrics}, + dict(record.metrics)) names = set(record.metrics) if capabilities.step_metrics: names |= set(record.steps) - differ('steps', {k: seen.steps.get(k) - for k in record.steps}, dict(record.steps)) + differ('steps', {k: seen.steps.get(k) for k in record.steps}, + dict(record.steps)) differ('metric names', sorted(seen.metrics), sorted(names)) - differ('tags', {k: seen.tags.get(k) - for k in record.tags}, dict(record.tags)) + differ('tags', {k: seen.tags.get(k) for k in record.tags}, + dict(record.tags)) differ( 'kumo tags', sorted(k for k in seen.tags if k.startswith('kumo.') @@ -244,27 +201,26 @@ def observe(): runs = client.search_runs( [e.experiment_id for e in client.search_experiments()]) kumo_ids = {r.info.run_id: r.data.tags['kumo.run_id'] for r in runs} - observed = {} - for run in runs: - run_id = run.info.run_id - observed[kumo_ids[run_id]] = Observed( + + def history(run_id, key): + return tuple((m.step, m.value) for m in sorted( + client.get_metric_history(run_id, key), + key=lambda m: (m.step, m.timestamp))) + + return { + kumo_ids[run.info.run_id]: Observed( name=run.info.run_name, params=run.data.params, - metrics=run.data.metrics, steps={ - key: - tuple( - (m.step, m.value) - for m in sorted(client.get_metric_history(run_id, key), - key=lambda m: (m.step, m.timestamp))) - for key in run.data.metrics - }, tags=run.data.tags, + metrics=run.data.metrics, tags=run.data.tags, + steps={k: history(run.info.run_id, k) + for k in run.data.metrics}, parent=kumo_ids.get(run.data.tags.get('mlflow.parentRunId')), artifacts={ - a.path: - mlflow.artifacts.load_text( + a.path: mlflow.artifacts.load_text( f'{run.info.artifact_uri}/{a.path}') - for a in client.list_artifacts(run_id) + for a in client.list_artifacts(run.info.run_id) }) - return observed + for run in runs + } try: yield Adapter( @@ -306,27 +262,17 @@ def test_records_of_the_recorded_fit(): 'column_processing.encoder_overrides.ents.amount ($)': 'numerical', } with pytest.warns(UserWarning, match="'kumo.bundle_id', 'task_type'"): - spoofed = run_record(CONTEXT, tags={ - 'kumo.bundle_id': 'x', - 'task_type': 'y', - 'a': 1 - }) + spoofed = run_record(CONTEXT, tags={'kumo.bundle_id': 'x', + 'task_type': 'y', 'a': 1}) assert spoofed.tags.keys() - fit.tags.keys() == {'a'} assert fit.metrics == {'val_mae': 0.3, 'test_mae': 0.32, 'seconds': 9.0} - assert fit.links == { - 'model_name': 'ents-model', - 'model_version': '3', - 'model_uri': 'models:/ents-model/3' - } assert fit.artifacts['query.pql'] == QUERY assert json.loads(fit.artifacts['model_plan.json']) == CONTEXT.model_plan oom = records[f'{RUN}-trial-2-attempt-1'] assert oom == RunRecord( - name='trial-2-attempt-1', params={ - 'optimization.base_lr': '0.001', - 'attempt': '1' - }, tags={ + name='trial-2-attempt-1', + params={'optimization.base_lr': '0.001', 'attempt': '1'}, tags={ 'kumo.kind': 'trial', 'kumo.run_id': f'{RUN}-trial-2-attempt-1', 'kumo.parent_run': RUN, @@ -335,20 +281,23 @@ def test_records_of_the_recorded_fit(): }) retry = records[f'{RUN}-trial-2-attempt-2'] assert retry.params['attempt'] == '2' - assert retry.tags['kumo.status'] == 'succeeded' - assert 'kumo.error' not in retry.tags assert retry.metrics == {'best_val_mae': 0.3, 'seconds': 4.0} - assert retry.steps == { - 'train_loss': ((1, 0.6), (2, 0.4)), - 'val_mae': ((1, 0.5), (2, 0.3)) - } - assert len(records) == 4 + assert retry.steps == {'train_loss': ((1, 0.6), (2, 0.4)), + 'val_mae': ((1, 0.5), (2, 0.3))} -def test_adapter_records_the_same_runs(adapter): - tracker = adapter.make() - events = replay([tracker]) +def test_adapter_records_the_same_runs_beside_a_failing_tracker( + adapter, caplog): + class RaisesOnEvent(_Recorder): + def on_event(self, event): + super().on_event(event) + raise RuntimeError('tracker down') + broken, tracker = RaisesOnEvent(), adapter.make() + events = replay([broken, tracker]) + + assert [hook for hook, _ in broken.calls] == ['start', 'on_event'] + assert caplog.text.count('Experiment tracking failed') == 1 assert gaps(expected_records(events), adapter.observe(), tracker.capabilities, adapter.kept_params) == [] @@ -365,36 +314,12 @@ def test_adapter_records_a_failed_fit(adapter): adapter.kept_params) == [] -def test_a_failing_tracker_does_not_affect_others(adapter, caplog): - tracker = adapter.make() - events = replay([_Raising(), tracker]) - - assert gaps(expected_records(events), adapter.observe(), - tracker.capabilities, adapter.kept_params) == [] - assert caplog.text.count('Experiment tracking failed') == 1 - - -def test_a_tracker_that_raises_is_not_called_again(caplog): - class RaisesOnEvent(_Recorder): - def on_event(self, event): - super().on_event(event) - raise RuntimeError('tracker down') - - broken = RaisesOnEvent() - replay([broken]) - - assert [hook for hook, _ in broken.calls] == ['start', 'on_event'] - assert caplog.text.count('Experiment tracking failed') == 1 - - def test_only_rank_zero_tracks(monkeypatch): monkeypatch.setenv('LOCAL_RANK', '1') recorder = _Recorder() session = TrackingSession(recorder) session.start(lambda: CONTEXT) - session.on_event(EVENTS[0]) session.finish(RESULT, None) - assert not session.enabled assert recorder.calls == [] diff --git a/setup.py b/setup.py index dd822d562..59551f8da 100644 --- a/setup.py +++ b/setup.py @@ -293,8 +293,7 @@ def parse_project_version(project_file_path: Path) -> str: "respx==0.22.0", "pytorch-frame==0.3.0", "pytorch-lightning==2.6.5", - # kumo-engine's MLflow tracking tests; the engine wheel is tested with - # --no-deps in this environment, so its `mlflow` extra is not installed. + # kumo-engine's `mlflow` extra; its wheel is tested with --no-deps. "mlflow>=3.0,<4", ] From 5d1c1a5d2a020193b7dfecf92cfa5b555468a2d1 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 18:29:45 +0000 Subject: [PATCH 093/123] Build tracking records once in the session; adapters get records Each adapter kept its own per-trial attempt keys and event lists, captured fit_ended and rebuilt trial and fit records, and wrapped every call in its own catch-and-disable, on top of the session's and the event emitter's. TrackingSession now owns that state and hands adapters finished records: start(record), on_trial(record, event) and finish(record, error). The session and the event emitter share one catch-and-drop loop; a dropped tracker gets one best-effort finish(None, None), which ends its run as failed. The adapters' own guards are gone (the Lightning logger keeps its own), the query hash reuses query_sha256, and the public tracking module exports only Tracking, RunRecord and Capabilities. Verified with test_tracking_contract, test_mlflow_tracking (an adapter error now ends the runs FAILED), test_fit_events, test_optional_imports and kumo-core test_training. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/README.md | 16 +- packages/kumo-engine/kumo/engine/_events.py | 28 +++- packages/kumo-engine/kumo/engine/_tracking.py | 106 ++++++------ .../kumo/engine/integrations/mlflow.py | 154 +++++++----------- packages/kumo-engine/kumo/engine/tracking.py | 12 +- .../kumo-engine/test/test_mlflow_tracking.py | 19 +-- .../test/test_tracking_contract.py | 79 ++++----- 7 files changed, 190 insertions(+), 224 deletions(-) diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index f62cc928f..8a95d30f4 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -369,13 +369,15 @@ local store in the working directory. Per-epoch metrics use step = epoch; Lightning's per-step metrics are prefixed `lightning-`. Pass a list to record to several trackers; a tracker that raises is not -called again for that fit. Other systems plug in through the -`kumo.engine.tracking.Tracking` protocol: `start(context)`, `on_event(event)` -and `finish(result, error)`, plus an optional `trial_logger(trial, attempt)` -returning a Lightning logger. Build what to log with `run_record` and -`trial_record` so every tracker records the same names: params are the task -type and resolved model plan (fit) or searched hyperparameters and `attempt` -(trial); ids and outcomes are `kumo.*` tags (`kumo.kind`, `kumo.run_id`, +called again for that fit and its run is ended as failed. Other systems plug +in through the `kumo.engine.tracking.Tracking` protocol, which receives +ready-built `RunRecord`s so every tracker records the same names: +`start(record)` with the fit run, `on_trial(record, event)` with a trial +attempt's run after each of its events, and `finish(record, error)` with the +fit run's final record (`None` when tracking stopped early), plus an optional +`trial_logger(trial, attempt)` returning a Lightning logger. Params are the +task type and resolved model plan (fit) or searched hyperparameters and +`attempt` (trial); ids and outcomes are `kumo.*` tags (`kumo.kind`, `kumo.run_id`, `kumo.snapshot_id`, `kumo.training_table_id`, `kumo.query_sha256`, `kumo.parent_run`, `kumo.status`, `kumo.error`, `kumo.model_*`). Your `tags=` are added as given, except `kumo.*` names and param names. diff --git a/packages/kumo-engine/kumo/engine/_events.py b/packages/kumo-engine/kumo/engine/_events.py index 7309aab19..913c45d24 100644 --- a/packages/kumo-engine/kumo/engine/_events.py +++ b/packages/kumo-engine/kumo/engine/_events.py @@ -12,16 +12,19 @@ Any, Callable, Dict, + List, Literal, Mapping, Optional, Sequence, + TypeVar, cast, ) from kumo_core.instrumentation import NoOpTrainingInstrumentation logger = logging.getLogger(__name__) +T = TypeVar('T') EventName = Literal['fit_started', 'trial_started', 'epoch_ended', 'trial_ended', 'fit_ended'] @@ -59,6 +62,21 @@ def _finite_floats(metrics: Mapping[str, Any]) -> Dict[str, float]: return result +def call_each(targets: List[T], call: Callable[[T], Any], what: str, + dropped: Optional[Callable[[T], None]] = None) -> List[Any]: + values = [] + for target in list(targets): + try: + values.append(call(target)) + except Exception: + logger.warning('%s %r failed; it is not called again in this run', + what, target, exc_info=True) + targets.remove(target) + if dropped is not None: + dropped(target) + return values + + class EventEmitter(NoOpTrainingInstrumentation): def __init__(self, run_id: str, callbacks: Sequence[Callable[[Event], None]]) -> None: @@ -73,14 +91,8 @@ def emit(self, name: EventName, *, trial: Optional[int] = None, trial=trial, epoch=epoch, metrics=_finite_floats(metrics or {}), params=dict(params or {})) - for callback in list(self._callbacks): - try: - callback(event) - except Exception: - logger.warning( - 'Progress callback %r failed; it is disabled for the ' - 'rest of run %s', callback, self.run_id, exc_info=True) - self._callbacks.remove(callback) + call_each(self._callbacks, lambda callback: callback(event), + 'Progress callback') def event(self, name: str, **fields: Any) -> None: self.emit(cast(EventName, name), **fields) diff --git a/packages/kumo-engine/kumo/engine/_tracking.py b/packages/kumo-engine/kumo/engine/_tracking.py index 080fce259..33d974a6e 100644 --- a/packages/kumo-engine/kumo/engine/_tracking.py +++ b/packages/kumo-engine/kumo/engine/_tracking.py @@ -4,7 +4,6 @@ r"""Platform-neutral run records and the `Tracking` protocol.""" import dataclasses -import hashlib import json import logging import os @@ -26,7 +25,7 @@ Union, ) -from kumo.engine._events import Event +from kumo.engine._events import Event, call_each, query_sha256 from kumo.engine._version import __version__ if TYPE_CHECKING: @@ -111,8 +110,7 @@ def run_record(context: FitContext, result: Optional['TrainingResult'] = None, 'kumo.run_id': context.run_id, 'kumo.snapshot_id': context.snapshot_id, 'kumo.training_table_id': context.training_table_id, - 'kumo.query_sha256': hashlib.sha256( - context.query.encode()).hexdigest(), + 'kumo.query_sha256': query_sha256(context.query), **_error_tag(fit_ended), **{f'kumo.{key}': value for key, value in links.items()}, @@ -191,16 +189,20 @@ def trial_record(context: FitContext, events: Sequence[Event]) -> RunRecord: class Tracking(Protocol): r"""Records one `Trainer.fit` in an experiment tracker. - Optional members: ``trial_logger(trial, attempt)`` returning a Lightning - logger (whose methods must not raise) or None, and ``capabilities``. + `start` gets the fit run's record without metrics, `on_trial` a trial + attempt's record so far with the event that updated it, and `finish` the + fit run's final record (`None` if tracking stopped early, which should + end the run as failed). Optional members: ``tags`` (extra fit-run tags), + ``trial_logger(trial, attempt)`` returning a Lightning logger (whose + methods must not raise) or None, and ``capabilities``. """ - def start(self, context: FitContext) -> None: + def start(self, record: RunRecord) -> None: ... - def on_event(self, event: Event) -> None: + def on_trial(self, record: RunRecord, event: Event) -> None: ... - def finish(self, result: Optional['TrainingResult'], + def finish(self, record: Optional[RunRecord], error: Optional[BaseException]) -> None: ... @@ -217,8 +219,9 @@ def __init__(self, tracking: Trackers) -> None: else: trackers = [tracking] self._trackers = trackers - self._started = False - self._attempts: Dict[int, int] = {} + self._context: Optional[FitContext] = None + self._trials: Dict[int, List[Event]] = {} + self._fit_ended: Optional[Event] = None @property def enabled(self) -> bool: @@ -227,7 +230,6 @@ def enabled(self) -> bool: def start(self, context: Callable[[], FitContext]) -> None: if not self._trackers: return - self._started = True try: value = context() except Exception: @@ -235,53 +237,65 @@ def start(self, context: Callable[[], FitContext]) -> None: exc_info=True) self._trackers = [] return - self._call_all('start', value) + self._context = value + self._call_all(lambda tracker: tracker.start( + run_record(value, tags=getattr(tracker, 'tags', None)))) def trial_logger(self, trial: int, attempt: int) -> Optional[Any]: loggers = [ pl_logger for pl_logger in self._call_all( - 'trial_logger', trial, attempt) if pl_logger is not None + lambda tracker: getattr(tracker, 'trial_logger', _none) + (trial, attempt)) if pl_logger is not None ] return loggers or None def on_event(self, event: Event) -> None: - if not self._started: + if self._context is None: + return + if event.name == 'fit_ended': + self._fit_ended = event + if event.trial is None: return - self._call_all('on_event', _with_attempt(event, self._attempts)) + if event.name == 'trial_started': + self._trials[event.trial] = [] + events = self._trials.setdefault(event.trial, []) + if 'attempt' not in event.params and events: + event = dataclasses.replace(event, params={ + **event.params, 'attempt': events[0].params['attempt'] + }) + events.append(event) + record = trial_record(self._context, events) + self._call_all(lambda tracker: tracker.on_trial(record, event)) def finish(self, result: Optional['TrainingResult'], error: Optional[BaseException]) -> None: - if not self._started: + if self._context is None: return - self._call_all('finish', result, error) - - def _call_all(self, hook: str, *args: Any) -> List[Any]: - values = [] - for tracker in list(self._trackers): - function = getattr(tracker, hook, None) - if not callable(function): - continue - try: - values.append(function(*args)) - except Exception: - logger.warning( - 'Experiment tracking failed in %r; it is off for the ' - 'rest of this fit', tracker, exc_info=True) - self._trackers.remove(tracker) - return values - - -def _with_attempt(event: Event, attempts: Dict[int, int]) -> Event: - if event.trial is None: - return event - if event.name == 'trial_started': - attempts[event.trial] = int(event.params.get('attempt', 1)) - if 'attempt' in event.params: - return event - return dataclasses.replace( - event, params={ - **event.params, 'attempt': attempts.get(event.trial, 1) - }) + try: + record: Optional[RunRecord] = run_record(self._context, result, + self._fit_ended) + except Exception: + logger.warning('Could not build the tracking record', + exc_info=True) + record = None + trackers, self._trackers = self._trackers, [] + call_each(trackers, lambda tracker: tracker.finish(record, error), + 'Experiment tracking') + + def _call_all(self, call: Callable[[Tracking], Any]) -> List[Any]: + return call_each(self._trackers, call, 'Experiment tracking', + dropped=_abandon) + + +def _none(*args: Any) -> None: + return None + + +def _abandon(tracker: Tracking) -> None: + try: + tracker.finish(None, None) + except Exception: + logger.debug('Could not end the run of %r', tracker, exc_info=True) def _rank() -> int: diff --git a/packages/kumo-engine/kumo/engine/integrations/mlflow.py b/packages/kumo-engine/kumo/engine/integrations/mlflow.py index f5098a47b..b155ce560 100644 --- a/packages/kumo-engine/kumo/engine/integrations/mlflow.py +++ b/packages/kumo-engine/kumo/engine/integrations/mlflow.py @@ -9,7 +9,7 @@ import re import time from contextlib import ExitStack -from typing import Any, Callable, Dict, List, Mapping, Optional, Tuple +from typing import Any, Callable, Dict, Mapping, Optional, Tuple from pytorch_lightning.loggers import MLFlowLogger @@ -18,9 +18,7 @@ DROPPED_PARAMS, LIGHTNING_PREFIX, Capabilities, - FitContext, - run_record, - trial_record, + RunRecord, ) from kumo.engine.connector._extras import import_provider @@ -65,20 +63,14 @@ def __init__( self._reset() def _reset(self) -> None: - self._enabled = False - self._context: Optional[FitContext] = None self._client: Any = None self._parent: Optional[str] = None self._experiment_id: Optional[str] = None self._children: Dict[Tuple[int, int], str] = {} - self._trials: Dict[Tuple[int, int], List[Event]] = {} - self._fit_ended: Optional[Event] = None self._guard = ExitStack() - def start(self, context: FitContext) -> None: + def start(self, record: RunRecord) -> None: self._reset() - self._enabled = True - self._context = context try: autologging = import_provider('mlflow.utils.autologging_utils', 'mlflow') @@ -89,45 +81,6 @@ def start(self, context: FitContext) -> None: except Exception: logger.warning('Could not suspend MLflow autologging', exc_info=True) - self._safe(self._start_parent, context) - - def trial_logger(self, trial: int, attempt: int) -> Optional[Any]: - return self._safe(self._trial_logger, trial, attempt) - - def on_event(self, event: Event) -> None: - if event.trial is not None and self._context is not None: - key = (event.trial, int(event.params['attempt'])) - events = self._trials.setdefault(key, []) - events.append(event) - if event.name == 'trial_started': - self._safe(self._start_trial, key, events) - elif event.name == 'epoch_ended': - self._safe(self._log_metrics, self._children.get(key), - event.metrics, event.epoch or 0) - elif event.name == 'trial_ended': - self._safe(self._end_trial, key, events, event) - elif event.name == 'fit_ended': - self._fit_ended = event - - def finish(self, result: Any, error: Optional[BaseException]) -> None: - try: - self._safe(self._log_result, result) - status = 'FINISHED' if error is None else 'FAILED' - if self._enabled: - for run_id in self._children.values(): - _quietly(self._client.set_terminated, run_id, 'FAILED') - if self._parent is not None: - active = self._mlflow.active_run() - if active is not None and active.info.run_id == self._parent: - _quietly(self._mlflow.end_run, status) - else: - _quietly(self._client.set_terminated, self._parent, status) - finally: - self._guard.close() - self._reset() - - def _start_parent(self, context: FitContext) -> None: - record = run_record(context, tags=self.tags) mlflow = self._mlflow self._client = mlflow.MlflowClient() experiment_id = None @@ -150,43 +103,58 @@ def _start_parent(self, context: FitContext) -> None: for name, text in record.artifacts.items(): self._client.log_text(self._parent, text, name) - def _start_trial(self, key: Tuple[int, int], events: List[Event]) -> None: - record = trial_record(self._context, events) - run = self._client.create_run( - self._experiment_id, run_name=record.name, - tags={**record.tags, 'mlflow.parentRunId': self._parent}) - self._children[key] = run.info.run_id - self._log_params(run.info.run_id, record.params) - - def _trial_logger(self, trial: int, - attempt: int) -> Optional['_KumoMLFlowLogger']: + def trial_logger(self, trial: int, + attempt: int) -> Optional['_KumoMLFlowLogger']: run_id = self._children.get((trial, attempt)) if run_id is None: return None trial_logger = _KumoMLFlowLogger( - self, run_id=run_id, tracking_uri=self._mlflow.get_tracking_uri(), + run_id=run_id, tracking_uri=self._mlflow.get_tracking_uri(), log_model=False, prefix=LIGHTNING_PREFIX) - # Lightning resolves these lazily, outside `_safe`. + # Lightning resolves these lazily, outside the tracking guard. trial_logger.experiment trial_logger.version return trial_logger - def _end_trial(self, key: Tuple[int, int], events: List[Event], - event: Event) -> None: - record = trial_record(self._context, events) - run_id = self._children.pop(key) - del self._trials[key] - self._log_metrics(run_id, record.metrics) - self._log_tags(run_id, record.tags) - succeeded = event.params.get('status') == 'succeeded' - self._client.set_terminated(run_id, - 'FINISHED' if succeeded else 'FAILED') - - def _log_result(self, result: Any) -> None: - record = run_record(self._context, result, self._fit_ended, - tags=self.tags) - self._log_metrics(self._parent, record.metrics) - self._log_tags(self._parent, record.tags) + def on_trial(self, record: RunRecord, event: Event) -> None: + key = (event.trial or 0, int(event.params['attempt'])) + if event.name == 'trial_started': + run = self._client.create_run( + self._experiment_id, run_name=record.name, + tags={**record.tags, 'mlflow.parentRunId': self._parent}) + self._children[key] = run.info.run_id + self._log_params(run.info.run_id, record.params) + elif event.name == 'epoch_ended': + self._log_metrics(self._children.get(key), event.metrics, + event.epoch or 0) + elif event.name == 'trial_ended': + run_id = self._children.pop(key) + self._log_metrics(run_id, record.metrics) + self._log_tags(run_id, record.tags) + succeeded = event.params.get('status') == 'succeeded' + self._client.set_terminated(run_id, + 'FINISHED' if succeeded else 'FAILED') + + def finish(self, record: Optional[RunRecord], + error: Optional[BaseException]) -> None: + status = 'FAILED' + try: + if record is not None and self._parent is not None: + self._log_metrics(self._parent, record.metrics) + self._log_tags(self._parent, record.tags) + if error is None: + status = 'FINISHED' + finally: + for run_id in self._children.values(): + _quietly(self._client.set_terminated, run_id, 'FAILED') + if self._parent is not None: + active = self._mlflow.active_run() + if active is not None and active.info.run_id == self._parent: + _quietly(self._mlflow.end_run, status) + else: + _quietly(self._client.set_terminated, self._parent, status) + self._guard.close() + self._reset() def _log_tags(self, run_id: str, tags: Mapping[str, str]) -> None: entities = self._mlflow.entities @@ -219,30 +187,28 @@ def _log_metrics(self, run_id: Optional[str], for key, value in metrics.items() ]) - def _safe(self, function: Callable[..., Any], *args: Any) -> Any: - if not self._enabled: - return None - try: - return function(*args) - except Exception: - logger.warning( - 'MLflow tracking failed; it is off for the rest of this fit', - exc_info=True) - self._enabled = False - return None - class _KumoMLFlowLogger(MLFlowLogger): - def __init__(self, tracking: MlflowTracking, **kwargs: Any) -> None: + def __init__(self, **kwargs: Any) -> None: super().__init__(**kwargs) - self._tracking = tracking + self._failed = False def log_metrics(self, metrics: Mapping[str, float], step: Optional[int] = None) -> None: - self._tracking._safe(super().log_metrics, metrics, step) + self._guarded(super().log_metrics, metrics, step) def log_hyperparams(self, params: Any) -> None: - self._tracking._safe(super().log_hyperparams, params) + self._guarded(super().log_hyperparams, params) + + def _guarded(self, function: Callable[..., Any], *args: Any) -> None: + if self._failed: + return + try: + function(*args) + except Exception: + logger.warning('MLflow logging failed; it is off for this trial', + exc_info=True) + self._failed = True def finalize(self, status: str = 'success') -> None: pass # the tracker ends the run diff --git a/packages/kumo-engine/kumo/engine/tracking.py b/packages/kumo-engine/kumo/engine/tracking.py index 6de001c02..2c1f3b29d 100644 --- a/packages/kumo-engine/kumo/engine/tracking.py +++ b/packages/kumo-engine/kumo/engine/tracking.py @@ -3,20 +3,10 @@ # SPDX-License-Identifier: Apache-2.0 r"""API for writing an experiment-tracking adapter for ``fit(tracking=...)``.""" -from kumo.engine._tracking import ( - Capabilities, - FitContext, - RunRecord, - Tracking, - run_record, - trial_record, -) +from kumo.engine._tracking import Capabilities, RunRecord, Tracking __all__ = [ 'Tracking', - 'FitContext', 'RunRecord', 'Capabilities', - 'run_record', - 'trial_record', ] diff --git a/packages/kumo-engine/test/test_mlflow_tracking.py b/packages/kumo-engine/test/test_mlflow_tracking.py index 14d3b6202..81919b916 100644 --- a/packages/kumo-engine/test/test_mlflow_tracking.py +++ b/packages/kumo-engine/test/test_mlflow_tracking.py @@ -13,6 +13,7 @@ import kumo.engine as kumo from kumo.engine._scratch import get_scratch_dir +from kumo.engine._tracking import run_record mlflow = pytest.importorskip('mlflow') autologging_utils = pytest.importorskip('mlflow.utils.autologging_utils') @@ -111,7 +112,7 @@ def test_fit_logs_a_run_per_fit_and_per_trial(table_and_snapshot, caplog): if not name.startswith('system/') } assert metrics == {**result.metrics, 'seconds': metrics['seconds']} - assert 'MLflow tracking failed' not in caplog.text + assert 'not called again' not in caplog.text assert [run.info.run_name for run in children] == ['trial-1-attempt-1', 'trial-2-attempt-1'] @@ -146,8 +147,8 @@ def fail(*args, **kwargs): @pytest.mark.parametrize('broken', ['log_batch', 'get_run']) -def test_mlflow_errors_are_logged_once_not_raised(tracking_uri, monkeypatch, - caplog, broken): +def test_mlflow_error_ends_runs_failed_and_is_not_raised( + tracking_uri, monkeypatch, caplog, broken): from mlflow.tracking import MlflowClient from kumo.engine.integrations.mlflow import MlflowTracking @@ -162,14 +163,10 @@ def down(self, *args, metrics=(), **kwargs): monkeypatch.setattr(MlflowClient, broken, down) replay([MlflowTracking(log_system_metrics=False)]) - assert caplog.text.count('MLflow tracking failed') == 1 + assert caplog.text.count('not called again') == 1 assert mlflow.active_run() is None - if broken == 'log_batch': - parent, = [ - run for run in _runs(mlflow.MlflowClient()) - if 'mlflow.parentRunId' not in run.data.tags - ] - assert parent.info.status == 'FINISHED' + statuses = {run.info.status for run in _runs(mlflow.MlflowClient())} + assert statuses == {'FAILED'} def test_user_disabled_autologging_stays_disabled(tracking_uri): @@ -177,6 +174,6 @@ def test_user_disabled_autologging_stays_disabled(tracking_uri): tracker = MlflowTracking(log_system_metrics=False) with autologging_utils.disable_autologging(): - tracker.start(CONTEXT) + tracker.start(run_record(CONTEXT)) tracker.finish(None, None) assert autologging_utils._AUTOLOGGING_GLOBALLY_DISABLED is True diff --git a/packages/kumo-engine/test/test_tracking_contract.py b/packages/kumo-engine/test/test_tracking_contract.py index 180b7c6cf..71ca8a801 100644 --- a/packages/kumo-engine/test/test_tracking_contract.py +++ b/packages/kumo-engine/test/test_tracking_contract.py @@ -16,15 +16,11 @@ from kumo.engine._tracking import ( DROPPED_METRICS, DROPPED_PARAMS, - TrackingSession, -) -from kumo.engine.tracking import ( - Capabilities, FitContext, - RunRecord, + TrackingSession, run_record, - trial_record, ) +from kumo.engine.tracking import Capabilities, RunRecord RUN = 'trainer-fit-1' USER_TAGS = {'team': 'ents', 'kumo.run_id': 'overridden'} @@ -80,23 +76,20 @@ class _Recorder: def __init__(self): self.calls: List[Tuple[str, Any]] = [] - def start(self, context): - self.calls.append(('start', context)) + def start(self, record): + self.calls.append(('start', record)) - def on_event(self, event): - self.calls.append(('on_event', event)) + def on_trial(self, record, event): + self.calls.append(('on_trial', record)) - def finish(self, result, error): - self.calls.append(('finish', result)) - - @property - def events(self): - return [value for hook, value in self.calls if hook == 'on_event'] + def finish(self, record, error): + self.calls.append(('finish', record)) def replay(trackers, events=EVENTS, result=RESULT, - error=None) -> List[Event]: - r"""Feeds the recorded fit to `trackers`; returns the events they saw.""" + error=None) -> Dict[str, RunRecord]: + r"""Feeds the recorded fit to `trackers`; returns the records expected + of them.""" recorder = _Recorder() session = TrackingSession([recorder, *trackers]) session.start(lambda: CONTEXT) @@ -105,22 +98,12 @@ def replay(trackers, events=EVENTS, result=RESULT, if event.name == 'trial_started': session.trial_logger(event.trial, event.params['attempt']) session.finish(result, error) - return recorder.events - - -def expected_records(events: List[Event], - result=RESULT) -> Dict[str, RunRecord]: - trials: Dict[Tuple[int, int], List[Event]] = {} - for event in events: - if event.trial is not None: - trials.setdefault((event.trial, event.params['attempt']), - []).append(event) - ended = next(event for event in events if event.name == 'fit_ended') - records = [ - run_record(CONTEXT, result, ended, tags=USER_TAGS), - *(trial_record(CONTEXT, group) for group in trials.values()) - ] - return {record.tags['kumo.run_id']: record for record in records} + records = { + record.tags['kumo.run_id']: record + for hook, record in recorder.calls if hook == 'on_trial' + } + records[RUN] = run_record(CONTEXT, result, events[-1], tags=USER_TAGS) + return records @dataclass @@ -239,7 +222,7 @@ def adapter(request) -> Adapter: def test_records_of_the_recorded_fit(): - records = expected_records(replay([])) + records = replay([]) fit = records[RUN] assert fit.tags == { @@ -288,27 +271,29 @@ def test_records_of_the_recorded_fit(): def test_adapter_records_the_same_runs_beside_a_failing_tracker( adapter, caplog): - class RaisesOnEvent(_Recorder): - def on_event(self, event): - super().on_event(event) + class RaisesOnTrial(_Recorder): + def on_trial(self, record, event): + super().on_trial(record, event) raise RuntimeError('tracker down') - broken, tracker = RaisesOnEvent(), adapter.make() - events = replay([broken, tracker]) + broken, tracker = RaisesOnTrial(), adapter.make() + expected = replay([broken, tracker]) - assert [hook for hook, _ in broken.calls] == ['start', 'on_event'] - assert caplog.text.count('Experiment tracking failed') == 1 - assert gaps(expected_records(events), adapter.observe(), - tracker.capabilities, adapter.kept_params) == [] + assert [hook for hook, _ in broken.calls] == [ + 'start', 'on_trial', 'finish' + ] + assert broken.calls[-1] == ('finish', None) + assert caplog.text.count('not called again') == 1 + assert gaps(expected, adapter.observe(), tracker.capabilities, + adapter.kept_params) == [] def test_adapter_records_a_failed_fit(adapter): tracker = adapter.make() failed = _event('fit_ended', status='failed', error='ValueError: stop') - events = replay([tracker], [*EVENTS[:-1], failed], None, - ValueError('stop')) + expected = replay([tracker], [*EVENTS[:-1], failed], None, + ValueError('stop')) - expected = expected_records(events, None) assert expected[RUN].tags['kumo.error'] == 'ValueError: stop' assert gaps(expected, adapter.observe(), tracker.capabilities, adapter.kept_params) == [] From 8d829a7c3f9c533c473b8dacfa6ede514ebefd9c Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 18:46:50 +0000 Subject: [PATCH 094/123] Keep experiment tracking off the training thread Tracker calls ran synchronously on rank 0: every per-epoch and per-step MLflow log_batch blocked training, and MLflow's default 7 retries with a 120 s timeout let a hung server stall the fit (and the ranks waiting on rank 0) for many minutes per call. TrackingSession now runs tracker calls on one background thread fed by a bounded queue. The fit waits at most 5 s once for a trial's Lightning logger and 30 s at the end for tracking to drain; anything left finishes in the background. Lightning's MLflow logger logs asynchronously and is flushed before runs end, and MLflow HTTP calls made while a fit is tracked use 2 retries and a 30 s timeout unless the user set them. An optional prepare() runs on the fit's thread so MLflow still nests the fit run under the caller's active run. Measured on a local SQLite store, per-epoch tracking cost on the training thread went from 3.8 ms to 0.02 ms (median) and per-step Lightning logging from 3.1 ms to 0.07 ms. With a 0.5 s server delay, it went from 505 ms to 0.01 ms per epoch. New tests show a hung tracker and a hung MLflow HTTP server stall a replayed fit for under 1.5 s. Verified with test_tracking_contract, test_mlflow_tracking, test_fit_events and test_optional_imports. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/README.md | 5 + packages/kumo-engine/kumo/engine/_tracking.py | 103 +++++++++++++++--- .../kumo/engine/integrations/mlflow.py | 32 +++++- .../kumo-engine/test/test_mlflow_tracking.py | 52 ++++++++- .../test/test_tracking_contract.py | 34 ++++++ 5 files changed, 204 insertions(+), 22 deletions(-) diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index 8a95d30f4..3bb48298c 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -354,6 +354,11 @@ they do not derive them from entity, target, and timestamp columns. `fit(tracking=...)` records a fit in an experiment tracker: one run per fit, one run per hyperparameter-search trial attempt. It is opt-in; tracking errors are logged as warnings and never fail the fit. Only global rank 0 tracks. +Tracker calls run on a background thread, so a slow or unreachable tracking +server does not hold up training: at the end of the fit, `fit` waits at most +30 s for tracking to finish (the rest continues in the background). During +the fit, MLflow HTTP calls use 2 retries and a 30 s timeout unless +`MLFLOW_HTTP_REQUEST_MAX_RETRIES` / `MLFLOW_HTTP_REQUEST_TIMEOUT` are set. ```python from kumo.engine.integrations.mlflow import MlflowTracking # kumo-engine[mlflow] diff --git a/packages/kumo-engine/kumo/engine/_tracking.py b/packages/kumo-engine/kumo/engine/_tracking.py index 33d974a6e..f100c24ff 100644 --- a/packages/kumo-engine/kumo/engine/_tracking.py +++ b/packages/kumo-engine/kumo/engine/_tracking.py @@ -7,6 +7,9 @@ import json import logging import os +import queue +import threading +import time import warnings from collections.abc import Sequence as SequenceABC from dataclasses import dataclass, field @@ -37,6 +40,11 @@ LIGHTNING_PREFIX = 'lightning' DROPPED_PARAMS = 'kumo.dropped_params' DROPPED_METRICS = 'kumo.dropped_metrics' +# Tracker calls run on one background thread so a slow tracking server +# never stalls training; these bound how long the fit waits for it. +QUEUE_SIZE = 1000 +REPLY_SECONDS = 5.0 +FINISH_SECONDS = 30.0 @dataclass(frozen=True) @@ -189,12 +197,14 @@ def trial_record(context: FitContext, events: Sequence[Event]) -> RunRecord: class Tracking(Protocol): r"""Records one `Trainer.fit` in an experiment tracker. - `start` gets the fit run's record without metrics, `on_trial` a trial - attempt's record so far with the event that updated it, and `finish` the - fit run's final record (`None` if tracking stopped early, which should - end the run as failed). Optional members: ``tags`` (extra fit-run tags), - ``trial_logger(trial, attempt)`` returning a Lightning logger (whose - methods must not raise) or None, and ``capabilities``. + Calls come from one background thread. `start` gets the fit run's + record without metrics, `on_trial` a trial attempt's record so far with + the event that updated it, and `finish` the fit run's final record + (`None` if tracking stopped early, which should end the run as failed). + Optional members: ``prepare()``, called first on the fit's own thread; + ``tags`` (extra fit-run tags); ``trial_logger(trial, attempt)`` returning + a Lightning logger (whose methods must not raise and are called on the + training thread) or None; and ``capabilities``. """ def start(self, record: RunRecord) -> None: ... @@ -222,6 +232,11 @@ def __init__(self, tracking: Trackers) -> None: self._context: Optional[FitContext] = None self._trials: Dict[int, List[Event]] = {} self._fit_ended: Optional[Event] = None + self._jobs: 'queue.Queue[Optional[Callable[[], Any]]]' = queue.Queue( + QUEUE_SIZE) + self._worker: Optional[threading.Thread] = None + self._behind = False + self._slow = False @property def enabled(self) -> bool: @@ -238,15 +253,30 @@ def start(self, context: Callable[[], FitContext]) -> None: self._trackers = [] return self._context = value - self._call_all(lambda tracker: tracker.start( - run_record(value, tags=getattr(tracker, 'tags', None)))) + self._call_all(lambda tracker: getattr(tracker, 'prepare', _none)()) + self._worker = threading.Thread(target=self._work, + name='kumo-tracking', daemon=True) + self._worker.start() + self._submit(lambda: self._call_all(lambda tracker: tracker.start( + run_record(value, tags=getattr(tracker, 'tags', None))))) def trial_logger(self, trial: int, attempt: int) -> Optional[Any]: - loggers = [ - pl_logger for pl_logger in self._call_all( + if self._worker is None or self._slow: + return None + reply: 'queue.Queue[List[Any]]' = queue.Queue(1) + if not self._submit(lambda: reply.put(self._call_all( lambda tracker: getattr(tracker, 'trial_logger', _none) - (trial, attempt)) if pl_logger is not None - ] + (trial, attempt)))): + return None + try: + values = reply.get(timeout=REPLY_SECONDS) + except queue.Empty: + logger.warning( + 'Experiment tracking did not answer within %ss; this and ' + 'later trials log no per-step metrics', REPLY_SECONDS) + self._slow = True + return None + loggers = [pl_logger for pl_logger in values if pl_logger is not None] return loggers or None def on_event(self, event: Event) -> None: @@ -265,11 +295,13 @@ def on_event(self, event: Event) -> None: }) events.append(event) record = trial_record(self._context, events) - self._call_all(lambda tracker: tracker.on_trial(record, event)) + self._submit(lambda: self._call_all( + lambda tracker: tracker.on_trial(record, event))) def finish(self, result: Optional['TrainingResult'], error: Optional[BaseException]) -> None: - if self._context is None: + worker = self._worker + if self._context is None or worker is None: return try: record: Optional[RunRecord] = run_record(self._context, result, @@ -278,9 +310,46 @@ def finish(self, result: Optional['TrainingResult'], logger.warning('Could not build the tracking record', exc_info=True) record = None - trackers, self._trackers = self._trackers, [] - call_each(trackers, lambda tracker: tracker.finish(record, error), - 'Experiment tracking') + + def finish_all() -> None: + trackers, self._trackers = self._trackers, [] + call_each(trackers, lambda tracker: tracker.finish(record, error), + 'Experiment tracking') + + deadline = time.monotonic() + FINISH_SECONDS + try: + for job in (finish_all, None): + self._jobs.put(job, timeout=max(0.0, + deadline - time.monotonic())) + except queue.Full: + pass + worker.join(max(0.0, deadline - time.monotonic())) + if worker.is_alive(): + logger.warning( + 'Experiment tracking did not finish within %ss; it goes on ' + 'in the background and the fit returns', FINISH_SECONDS) + + def _submit(self, job: Callable[[], Any]) -> bool: + if self._behind: + return False + try: + self._jobs.put_nowait(job) + return True + except queue.Full: + self._behind = True + logger.warning('Experiment tracking is falling behind; the rest ' + 'of this fit is not tracked') + return False + + def _work(self) -> None: + while True: + job = self._jobs.get() + if job is None: + return + try: + job() + except Exception: + logger.warning('Experiment tracking failed', exc_info=True) def _call_all(self, call: Callable[[Tracking], Any]) -> List[Any]: return call_each(self._trackers, call, 'Experiment tracking', diff --git a/packages/kumo-engine/kumo/engine/integrations/mlflow.py b/packages/kumo-engine/kumo/engine/integrations/mlflow.py index b155ce560..4523a3cb6 100644 --- a/packages/kumo-engine/kumo/engine/integrations/mlflow.py +++ b/packages/kumo-engine/kumo/engine/integrations/mlflow.py @@ -5,11 +5,12 @@ """ import logging +import os import posixpath import re import time -from contextlib import ExitStack -from typing import Any, Callable, Dict, Mapping, Optional, Tuple +from contextlib import ExitStack, contextmanager +from typing import Any, Callable, Dict, Iterator, Mapping, Optional, Tuple from pytorch_lightning.loggers import MLFlowLogger @@ -28,6 +29,11 @@ _MAX_PARAM_VALUE = 6000 # MLflow's portable name charset (its Windows rule, which omits ':'). _PARAM_KEY = re.compile(r'[/\w.\- ]+') +# MLflow's defaults (7 retries, 120 s timeout) can hold a call for minutes. +_HTTP_LIMITS = { + 'MLFLOW_HTTP_REQUEST_MAX_RETRIES': '2', + 'MLFLOW_HTTP_REQUEST_TIMEOUT': '30', +} class MlflowTracking: @@ -60,6 +66,7 @@ def __init__( self.run_name = run_name self.log_system_metrics = log_system_metrics self.tags = dict(tags or {}) + self._outer: Optional[str] = None self._reset() def _reset(self) -> None: @@ -69,8 +76,13 @@ def _reset(self) -> None: self._children: Dict[Tuple[int, int], str] = {} self._guard = ExitStack() + def prepare(self) -> None: + active = self._mlflow.active_run() + self._outer = active.info.run_id if active is not None else None + def start(self, record: RunRecord) -> None: self._reset() + self._guard.enter_context(_limited_http()) try: autologging = import_provider('mlflow.utils.autologging_utils', 'mlflow') @@ -93,7 +105,7 @@ def start(self, record: RunRecord) -> None: run = mlflow.start_run( experiment_id=experiment_id, run_name=self.run_name, - nested=mlflow.active_run() is not None, + parent_run_id=self._outer, tags=record.tags, log_system_metrics=self.log_system_metrics, ) @@ -110,7 +122,7 @@ def trial_logger(self, trial: int, return None trial_logger = _KumoMLFlowLogger( run_id=run_id, tracking_uri=self._mlflow.get_tracking_uri(), - log_model=False, prefix=LIGHTNING_PREFIX) + log_model=False, prefix=LIGHTNING_PREFIX, synchronous=False) # Lightning resolves these lazily, outside the tracking guard. trial_logger.experiment trial_logger.version @@ -145,6 +157,7 @@ def finish(self, record: Optional[RunRecord], if error is None: status = 'FINISHED' finally: + _quietly(self._mlflow.flush_async_logging) for run_id in self._children.values(): _quietly(self._client.set_terminated, run_id, 'FAILED') if self._parent is not None: @@ -229,3 +242,14 @@ def _quietly(function: Callable[..., Any], *args: Any) -> None: function(*args) except Exception: logger.debug('MLflow cleanup call failed', exc_info=True) + + +@contextmanager +def _limited_http() -> Iterator[None]: + unset = [name for name in _HTTP_LIMITS if name not in os.environ] + os.environ.update({name: _HTTP_LIMITS[name] for name in unset}) + try: + yield + finally: + for name in unset: + os.environ.pop(name, None) diff --git a/packages/kumo-engine/test/test_mlflow_tracking.py b/packages/kumo-engine/test/test_mlflow_tracking.py index 81919b916..775522098 100644 --- a/packages/kumo-engine/test/test_mlflow_tracking.py +++ b/packages/kumo-engine/test/test_mlflow_tracking.py @@ -3,13 +3,17 @@ # SPDX-License-Identifier: Apache-2.0 import json +import os +import socket +import threading +import time import numpy as np import pandas as pd import pytest from kumoapi.encoder import Numerical from kumoapi.model_plan import ModelPlan -from test_tracking_contract import CONTEXT, replay +from test_tracking_contract import CONTEXT, join_tracking_threads, replay import kumo.engine as kumo from kumo.engine._scratch import get_scratch_dir @@ -177,3 +181,49 @@ def test_user_disabled_autologging_stays_disabled(tracking_uri): tracker.start(run_record(CONTEXT)) tracker.finish(None, None) assert autologging_utils._AUTOLOGGING_GLOBALLY_DISABLED is True + + +@pytest.fixture +def hung_server(): + server = socket.create_server(('127.0.0.1', 0)) + held = [] + + def accept(): + while True: + try: + held.append(server.accept()[0]) + except OSError: + return + + threading.Thread(target=accept, daemon=True).start() + try: + yield f'http://127.0.0.1:{server.getsockname()[1]}' + finally: + server.close() + for connection in held: + connection.close() + join_tracking_threads() + + +def test_a_hung_server_does_not_stall_the_fit(hung_server, monkeypatch): + import kumo.engine._tracking as tracking + from kumo.engine.integrations.mlflow import MlflowTracking + + monkeypatch.setattr(tracking, 'REPLY_SECONDS', 0.2) + monkeypatch.setattr(tracking, 'FINISH_SECONDS', 0.5) + monkeypatch.setenv('MLFLOW_HTTP_REQUEST_MAX_RETRIES', '0') + monkeypatch.delenv('MLFLOW_HTTP_REQUEST_TIMEOUT', raising=False) + previous = mlflow.get_tracking_uri() + mlflow.set_tracking_uri(hung_server) + try: + began = time.monotonic() + replay([MlflowTracking(log_system_metrics=False)]) + elapsed = time.monotonic() - began + limits = {name: os.environ.get(name) for name in ( + 'MLFLOW_HTTP_REQUEST_MAX_RETRIES', 'MLFLOW_HTTP_REQUEST_TIMEOUT')} + finally: + mlflow.set_tracking_uri(previous) + + assert elapsed < 1.5 + assert limits == {'MLFLOW_HTTP_REQUEST_MAX_RETRIES': '0', + 'MLFLOW_HTTP_REQUEST_TIMEOUT': '30'} diff --git a/packages/kumo-engine/test/test_tracking_contract.py b/packages/kumo-engine/test/test_tracking_contract.py index 71ca8a801..2403d692c 100644 --- a/packages/kumo-engine/test/test_tracking_contract.py +++ b/packages/kumo-engine/test/test_tracking_contract.py @@ -5,6 +5,8 @@ import hashlib import json +import threading +import time from dataclasses import dataclass, field from types import SimpleNamespace from typing import Any, Callable, Dict, List, Mapping, Optional, Tuple @@ -86,6 +88,12 @@ def finish(self, record, error): self.calls.append(('finish', record)) +def join_tracking_threads(): + for thread in threading.enumerate(): + if thread.name == 'kumo-tracking': + thread.join(30) + + def replay(trackers, events=EVENTS, result=RESULT, error=None) -> Dict[str, RunRecord]: r"""Feeds the recorded fit to `trackers`; returns the records expected @@ -308,3 +316,29 @@ def test_only_rank_zero_tracks(monkeypatch): session.finish(RESULT, None) assert recorder.calls == [] + + +def test_a_hung_tracker_does_not_stall_the_fit(monkeypatch, caplog): + import kumo.engine._tracking as tracking + + monkeypatch.setattr(tracking, 'REPLY_SECONDS', 0.2) + monkeypatch.setattr(tracking, 'FINISH_SECONDS', 0.5) + release = threading.Event() + + class Hung(_Recorder): + def start(self, record): + super().start(record) + release.wait(30) + + hung = Hung() + began = time.monotonic() + try: + replay([hung]) + elapsed = time.monotonic() - began + finally: + release.set() + join_tracking_threads() + + assert elapsed < 1.5 + assert caplog.text.count('did not answer') == 1 + assert 'did not finish within' in caplog.text From 469742dd5ef6e0c77e53510c1671281bc8b7d65c Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 18:47:49 +0000 Subject: [PATCH 095/123] Drop the training table id from fit runs The kumo.training_table_id tag carried DiskGraph's tt_id, which is random per generation and names a machine-local scratch table, so it identified nothing another reader could resolve. A generated table is already identified by kumo.snapshot_id and kumo.query_sha256. FitContext and run_record no longer carry it; Trainer.fit stops reading it from the staged spec. Verified with test_tracking_contract and test_mlflow_tracking. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/README.md | 6 +++--- packages/kumo-engine/kumo/engine/_tracking.py | 2 -- packages/kumo-engine/kumo/engine/trainer/trainer.py | 4 +--- packages/kumo-engine/test/test_tracking_contract.py | 3 +-- 4 files changed, 5 insertions(+), 10 deletions(-) diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index 3bb48298c..e7b5b14e5 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -382,9 +382,9 @@ attempt's run after each of its events, and `finish(record, error)` with the fit run's final record (`None` when tracking stopped early), plus an optional `trial_logger(trial, attempt)` returning a Lightning logger. Params are the task type and resolved model plan (fit) or searched hyperparameters and -`attempt` (trial); ids and outcomes are `kumo.*` tags (`kumo.kind`, `kumo.run_id`, -`kumo.snapshot_id`, `kumo.training_table_id`, `kumo.query_sha256`, -`kumo.parent_run`, `kumo.status`, `kumo.error`, `kumo.model_*`). Your `tags=` +`attempt` (trial); ids and outcomes are `kumo.*` tags (`kumo.kind`, +`kumo.run_id`, `kumo.snapshot_id`, `kumo.query_sha256`, `kumo.parent_run`, +`kumo.status`, `kumo.error`, `kumo.model_*`). Your `tags=` are added as given, except `kumo.*` names and param names. ## BigQuery staged ingestion diff --git a/packages/kumo-engine/kumo/engine/_tracking.py b/packages/kumo-engine/kumo/engine/_tracking.py index f100c24ff..5f333fb03 100644 --- a/packages/kumo-engine/kumo/engine/_tracking.py +++ b/packages/kumo-engine/kumo/engine/_tracking.py @@ -54,7 +54,6 @@ class FitContext: run_id: str task_type: str snapshot_id: str - training_table_id: str query: str model_plan: Mapping[str, Any] @@ -117,7 +116,6 @@ def run_record(context: FitContext, result: Optional['TrainingResult'] = None, 'kumo.engine_version': __version__, 'kumo.run_id': context.run_id, 'kumo.snapshot_id': context.snapshot_id, - 'kumo.training_table_id': context.training_table_id, 'kumo.query_sha256': query_sha256(context.query), **_error_tag(fit_ended), **{f'kumo.{key}': value diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index 3357d3626..6d4e2fcd7 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -446,8 +446,7 @@ def _fit( from kumoapi.pquery import QueryType from pyarrow import parquet - train_table_spec = read_spec(str(train_table.staging_dir)) - parts = stage_parts(train_table_spec) + parts = stage_parts(read_spec(str(train_table.staging_dir))) seed_part = next(part for paths in parts.values() for part in paths) seed_schema = parquet.read_schema(train_table.staging_dir / seed_part) entity_tables = [workflow.query.entity_table] @@ -507,7 +506,6 @@ def _fit( run_id=run_id, task_type=TaskType(workflow.query.task_type).value, snapshot_id=snapshot.id, - training_table_id=str(train_table_spec['tt_id']), query=train_table.query, model_plan=to_json_dict(materialized.model_plan), )) diff --git a/packages/kumo-engine/test/test_tracking_contract.py b/packages/kumo-engine/test/test_tracking_contract.py index 2403d692c..20ee61aae 100644 --- a/packages/kumo-engine/test/test_tracking_contract.py +++ b/packages/kumo-engine/test/test_tracking_contract.py @@ -29,7 +29,7 @@ QUERY = 'PREDICT ents.Y FOR EACH ents.ID' CONTEXT = FitContext( run_id=RUN, task_type='regression', snapshot_id='snap@1', - training_table_id='tt-1', query=QUERY, model_plan={ + query=QUERY, model_plan={ 'optimization': {'base_lr': [0.01, 0.001], 'max_epochs': 2}, 'training_job': {'tune_metric': 'mae'}, 'column_processing': { @@ -239,7 +239,6 @@ def test_records_of_the_recorded_fit(): 'kumo.engine_version': fit.tags['kumo.engine_version'], 'kumo.run_id': RUN, 'kumo.snapshot_id': 'snap@1', - 'kumo.training_table_id': 'tt-1', 'kumo.query_sha256': hashlib.sha256(QUERY.encode()).hexdigest(), 'kumo.model_name': 'ents-model', 'kumo.model_version': '3', From 529e09c41443cb361f9d94e31f543e1a77073adf Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 18:54:06 +0000 Subject: [PATCH 096/123] Record pointers, not lineage, on tracked fit runs Fit runs copied lineage into tags and params (snapshot id, query hash, engine version, task type, model links) that the model bundle already records, so the same facts lived in two places that could disagree. A fit run now carries only kumo.kind and kumo.run_id, plus the status and error outcomes, with the resolved model plan as params. The bundle's provenance.json, when present, is logged on the fit run beside query.pql and model_plan.json, and an adapter logs artifacts that first appear in the finish record. FitContext.inputs (dataset name to location) becomes native MLflow run inputs via log_inputs. Verified with test_tracking_contract (provenance.json and inputs are observed in MLflow), test_mlflow_tracking, test_fit_events and test_optional_imports. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/README.md | 13 +++-- packages/kumo-engine/kumo/engine/_tracking.py | 51 ++++++++----------- .../kumo/engine/integrations/mlflow.py | 30 +++++++++-- .../kumo/engine/trainer/trainer.py | 2 - .../kumo-engine/test/test_mlflow_tracking.py | 3 +- .../test/test_tracking_contract.py | 51 +++++++++---------- 6 files changed, 81 insertions(+), 69 deletions(-) diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index e7b5b14e5..5b0b97817 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -381,11 +381,14 @@ ready-built `RunRecord`s so every tracker records the same names: attempt's run after each of its events, and `finish(record, error)` with the fit run's final record (`None` when tracking stopped early), plus an optional `trial_logger(trial, attempt)` returning a Lightning logger. Params are the -task type and resolved model plan (fit) or searched hyperparameters and -`attempt` (trial); ids and outcomes are `kumo.*` tags (`kumo.kind`, -`kumo.run_id`, `kumo.snapshot_id`, `kumo.query_sha256`, `kumo.parent_run`, -`kumo.status`, `kumo.error`, `kumo.model_*`). Your `tags=` -are added as given, except `kumo.*` names and param names. +resolved model plan (fit) or searched hyperparameters and `attempt` (trial). +Runs carry pointers, not lineage: `kumo.kind` and `kumo.run_id` (plus +`kumo.parent_run`, `kumo.status` and `kumo.error` for outcomes); lineage stays +in the model bundle, whose `provenance.json` is logged on the fit run when the +bundle has one, with `query.pql` and `model_plan.json`. MLflow also records +the fit's input datasets as native run inputs; Snowflake Experiment Tracking +has no dataset inputs, so it skips them. Your `tags=` are added as given, +except `kumo.*` names and param names. ## BigQuery staged ingestion diff --git a/packages/kumo-engine/kumo/engine/_tracking.py b/packages/kumo-engine/kumo/engine/_tracking.py index 5f333fb03..dfd8368f4 100644 --- a/packages/kumo-engine/kumo/engine/_tracking.py +++ b/packages/kumo-engine/kumo/engine/_tracking.py @@ -13,6 +13,7 @@ import warnings from collections.abc import Sequence as SequenceABC from dataclasses import dataclass, field +from pathlib import Path from typing import ( TYPE_CHECKING, Any, @@ -28,8 +29,7 @@ Union, ) -from kumo.engine._events import Event, call_each, query_sha256 -from kumo.engine._version import __version__ +from kumo.engine._events import Event, call_each if TYPE_CHECKING: from kumo.engine.trainer.trainer import TrainingResult @@ -52,16 +52,17 @@ class FitContext: r"""What a fit trains, known once its model plan is resolved.""" run_id: str - task_type: str - snapshot_id: str query: str model_plan: Mapping[str, Any] + #: Datasets the fit reads, by name: their location (path, URI or table). + inputs: Mapping[str, str] = field(default_factory=dict) @dataclass(frozen=True) class RunRecord: r"""One tracked run; ``steps`` are per-epoch ``(epoch, value)`` - histories and ``artifacts`` map file names to text.""" + histories, ``artifacts`` map file names to text and ``inputs`` map + dataset names to their location.""" name: Optional[str] = None params: Mapping[str, str] = field(default_factory=dict) @@ -69,8 +70,8 @@ class RunRecord: steps: Mapping[str, Tuple[Tuple[int, float], ...]] = field(default_factory=dict) tags: Mapping[str, str] = field(default_factory=dict) - links: Mapping[str, str] = field(default_factory=dict) artifacts: Mapping[str, str] = field(default_factory=dict) + inputs: Mapping[str, str] = field(default_factory=dict) @dataclass(frozen=True) @@ -81,6 +82,7 @@ class Capabilities: system_metrics: bool = False step_metrics: bool = False artifacts: bool = False + dataset_inputs: bool = False model_link: bool = False @@ -89,23 +91,22 @@ def run_record(context: FitContext, result: Optional['TrainingResult'] = None, tags: Optional[Mapping[str, str]] = None) -> RunRecord: r"""The fit run's record; ``tags`` are the user's extra tags.""" metrics: Dict[str, float] = {} - links: Dict[str, str] = {} + artifacts = { + 'query.pql': context.query, + 'model_plan.json': json.dumps(dict(context.model_plan), indent=2, + default=str), + } if result is not None: metrics.update(result.metrics) if fit_ended is not None and 'seconds' in fit_ended.metrics: metrics['seconds'] = fit_ended.metrics['seconds'] - if result.published_model is not None: - links = { - 'model_name': result.published_model.name, - 'model_version': str(result.published_model.version), - 'model_uri': result.published_model.uri, - } + provenance = Path(result.bundle_dir) / 'provenance.json' + if provenance.is_file(): + artifacts['provenance.json'] = provenance.read_text( + encoding='utf-8') params = { - 'task_type': context.task_type, - **{ - key: _param_value(value) - for key, value in _flatten(context.model_plan) - }, + key: _param_value(value) + for key, value in _flatten(context.model_plan) } return RunRecord( params=params, @@ -113,21 +114,11 @@ def run_record(context: FitContext, result: Optional['TrainingResult'] = None, tags={ **_user_tags(tags, params), 'kumo.kind': 'fit', - 'kumo.engine_version': __version__, 'kumo.run_id': context.run_id, - 'kumo.snapshot_id': context.snapshot_id, - 'kumo.query_sha256': query_sha256(context.query), **_error_tag(fit_ended), - **{f'kumo.{key}': value - for key, value in links.items()}, - }, - links=links, - artifacts={ - 'query.pql': - context.query, - 'model_plan.json': - json.dumps(dict(context.model_plan), indent=2, default=str), }, + artifacts=artifacts, + inputs=dict(context.inputs), ) diff --git a/packages/kumo-engine/kumo/engine/integrations/mlflow.py b/packages/kumo-engine/kumo/engine/integrations/mlflow.py index 4523a3cb6..ede547633 100644 --- a/packages/kumo-engine/kumo/engine/integrations/mlflow.py +++ b/packages/kumo-engine/kumo/engine/integrations/mlflow.py @@ -4,13 +4,15 @@ r"""MLflow tracking for `Trainer.fit` (``pip install 'kumo-engine[mlflow]'``). """ +import hashlib +import json import logging import os import posixpath import re import time from contextlib import ExitStack, contextmanager -from typing import Any, Callable, Dict, Iterator, Mapping, Optional, Tuple +from typing import Any, Callable, Dict, Iterator, Mapping, Optional, Set, Tuple from pytorch_lightning.loggers import MLFlowLogger @@ -52,7 +54,8 @@ class MlflowTracking: """ capabilities = Capabilities(nested_runs=True, system_metrics=True, - step_metrics=True, artifacts=True) + step_metrics=True, artifacts=True, + dataset_inputs=True) def __init__( self, @@ -74,6 +77,7 @@ def _reset(self) -> None: self._parent: Optional[str] = None self._experiment_id: Optional[str] = None self._children: Dict[Tuple[int, int], str] = {} + self._artifacts: Set[str] = set() self._guard = ExitStack() def prepare(self) -> None: @@ -112,8 +116,19 @@ def start(self, record: RunRecord) -> None: self._parent = run.info.run_id self._experiment_id = run.info.experiment_id self._log_params(self._parent, record.params) - for name, text in record.artifacts.items(): - self._client.log_text(self._parent, text, name) + self._log_artifacts(record.artifacts) + if record.inputs: + entities = mlflow.entities + self._client.log_inputs(self._parent, datasets=[ + entities.DatasetInput( + entities.Dataset( + name=name, digest=hashlib.sha256( + location.encode()).hexdigest()[:8], + source_type='external', + source=json.dumps({'uri': location})), + tags=[entities.InputTag('mlflow.data.context', 'train')]) + for name, location in record.inputs.items() + ]) def trial_logger(self, trial: int, attempt: int) -> Optional['_KumoMLFlowLogger']: @@ -154,6 +169,7 @@ def finish(self, record: Optional[RunRecord], if record is not None and self._parent is not None: self._log_metrics(self._parent, record.metrics) self._log_tags(self._parent, record.tags) + self._log_artifacts(record.artifacts) if error is None: status = 'FINISHED' finally: @@ -169,6 +185,12 @@ def finish(self, record: Optional[RunRecord], self._guard.close() self._reset() + def _log_artifacts(self, artifacts: Mapping[str, str]) -> None: + for name, text in artifacts.items(): + if name not in self._artifacts: + self._client.log_text(self._parent, text, name) + self._artifacts.add(name) + def _log_tags(self, run_id: str, tags: Mapping[str, str]) -> None: entities = self._mlflow.entities self._client.log_batch( diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index 6d4e2fcd7..96095d799 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -504,8 +504,6 @@ def _fit( del task_dataset tracking.start(lambda: FitContext( run_id=run_id, - task_type=TaskType(workflow.query.task_type).value, - snapshot_id=snapshot.id, query=train_table.query, model_plan=to_json_dict(materialized.model_plan), )) diff --git a/packages/kumo-engine/test/test_mlflow_tracking.py b/packages/kumo-engine/test/test_mlflow_tracking.py index 775522098..fd9ab98a7 100644 --- a/packages/kumo-engine/test/test_mlflow_tracking.py +++ b/packages/kumo-engine/test/test_mlflow_tracking.py @@ -105,7 +105,8 @@ def test_fit_logs_a_run_per_fit_and_per_trial(table_and_snapshot, caplog): assert len(runs) == 4 assert client.get_experiment(parent.info.experiment_id).name == 'ents' assert parent.info.status == 'FINISHED' - assert parent.data.tags['kumo.snapshot_id'] == snapshot.id + assert {k for k in parent.data.tags if k.startswith('kumo.')} == { + 'kumo.kind', 'kumo.run_id', 'kumo.dropped_params'} assert int(parent.data.tags['kumo.dropped_params']) >= 1 params = parent.data.params assert json.loads(params['optimization.base_lr']) == [0.01, 0.001] diff --git a/packages/kumo-engine/test/test_tracking_contract.py b/packages/kumo-engine/test/test_tracking_contract.py index 20ee61aae..1b0b96934 100644 --- a/packages/kumo-engine/test/test_tracking_contract.py +++ b/packages/kumo-engine/test/test_tracking_contract.py @@ -3,16 +3,15 @@ # SPDX-License-Identifier: Apache-2.0 """Every tracking adapter records the same run records as a recorded fit.""" -import hashlib import json import threading import time from dataclasses import dataclass, field +from pathlib import Path from types import SimpleNamespace from typing import Any, Callable, Dict, List, Mapping, Optional, Tuple import pytest -from kumoapi.plugin import PublishedModel from kumo.engine import Event from kumo.engine._tracking import ( @@ -28,8 +27,8 @@ USER_TAGS = {'team': 'ents', 'kumo.run_id': 'overridden'} QUERY = 'PREDICT ents.Y FOR EACH ents.ID' CONTEXT = FitContext( - run_id=RUN, task_type='regression', snapshot_id='snap@1', - query=QUERY, model_plan={ + run_id=RUN, query=QUERY, inputs={'ents': 's3://bucket/ents.parquet'}, + model_plan={ 'optimization': {'base_lr': [0.01, 0.001], 'max_epochs': 2}, 'training_job': {'tune_metric': 'mae'}, 'column_processing': { @@ -68,10 +67,8 @@ def _epochs(trial, *values): _event('fit_ended', metrics={'val_mae': 0.3, 'test_mae': 0.32, 'seconds': 9.0}, status='succeeded'), ] -RESULT = SimpleNamespace( - metrics={'val_mae': 0.3, 'test_mae': 0.32}, - published_model=PublishedModel(name='ents-model', version='3', - uri='models:/ents-model/3')) +RESULT = SimpleNamespace(metrics={'val_mae': 0.3, 'test_mae': 0.32}, + bundle_dir=Path('no-bundle')) class _Recorder: @@ -122,7 +119,7 @@ class Observed: steps: Mapping[str, Tuple[Tuple[int, float], ...]] tags: Mapping[str, str] parent: Optional[str] = None - links: Mapping[str, str] = field(default_factory=dict) + inputs: Mapping[str, str] = field(default_factory=dict) artifacts: Mapping[str, str] = field(default_factory=dict) @@ -171,8 +168,8 @@ def differ(what, have, want): sorted(k for k in record.tags if k.startswith('kumo.'))) if capabilities.nested_runs: differ('parent', seen.parent, record.tags.get('kumo.parent_run')) - if capabilities.model_link: - differ('links', dict(seen.links), dict(record.links)) + if capabilities.dataset_inputs: + differ('inputs', dict(seen.inputs), dict(record.inputs)) if capabilities.artifacts: differ('artifacts', dict(seen.artifacts), dict(record.artifacts)) return found @@ -209,6 +206,10 @@ def history(run_id, key): a.path: mlflow.artifacts.load_text( f'{run.info.artifact_uri}/{a.path}') for a in client.list_artifacts(run.info.run_id) + }, + inputs={ + d.dataset.name: json.loads(d.dataset.source)['uri'] + for d in run.inputs.dataset_inputs }) for run in runs } @@ -233,31 +234,23 @@ def test_records_of_the_recorded_fit(): records = replay([]) fit = records[RUN] - assert fit.tags == { - 'team': 'ents', - 'kumo.kind': 'fit', - 'kumo.engine_version': fit.tags['kumo.engine_version'], - 'kumo.run_id': RUN, - 'kumo.snapshot_id': 'snap@1', - 'kumo.query_sha256': hashlib.sha256(QUERY.encode()).hexdigest(), - 'kumo.model_name': 'ents-model', - 'kumo.model_version': '3', - 'kumo.model_uri': 'models:/ents-model/3', - } + assert fit.tags == {'team': 'ents', 'kumo.kind': 'fit', 'kumo.run_id': RUN} assert fit.params == { - 'task_type': 'regression', 'optimization.base_lr': '[0.01, 0.001]', 'optimization.max_epochs': '2', 'training_job.tune_metric': 'mae', 'column_processing.encoder_overrides.ents.amount ($)': 'numerical', } - with pytest.warns(UserWarning, match="'kumo.bundle_id', 'task_type'"): + with pytest.warns(UserWarning, + match="'kumo.bundle_id', 'training_job.tune_metric'"): spoofed = run_record(CONTEXT, tags={'kumo.bundle_id': 'x', - 'task_type': 'y', 'a': 1}) + 'training_job.tune_metric': 'y', + 'a': 1}) assert spoofed.tags.keys() - fit.tags.keys() == {'a'} assert fit.metrics == {'val_mae': 0.3, 'test_mae': 0.32, 'seconds': 9.0} assert fit.artifacts['query.pql'] == QUERY assert json.loads(fit.artifacts['model_plan.json']) == CONTEXT.model_plan + assert fit.inputs == {'ents': 's3://bucket/ents.parquet'} oom = records[f'{RUN}-trial-2-attempt-1'] assert oom == RunRecord( @@ -277,14 +270,18 @@ def test_records_of_the_recorded_fit(): def test_adapter_records_the_same_runs_beside_a_failing_tracker( - adapter, caplog): + adapter, caplog, tmp_path): class RaisesOnTrial(_Recorder): def on_trial(self, record, event): super().on_trial(record, event) raise RuntimeError('tracker down') + (tmp_path / 'provenance.json').write_text('{"bundle": "b"}') + result = SimpleNamespace(metrics=RESULT.metrics, bundle_dir=tmp_path) broken, tracker = RaisesOnTrial(), adapter.make() - expected = replay([broken, tracker]) + expected = replay([broken, tracker], result=result) + + assert expected[RUN].artifacts['provenance.json'] == '{"bundle": "b"}' assert [hook for hook, _ in broken.calls] == [ 'start', 'on_trial', 'finish' From 9892fc2b9c8977ed86e50c41dfe3e99c01487171 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 22:20:12 +0000 Subject: [PATCH 097/123] Log source tables as native MLflow inputs; cut unused tracking surface Fit runs declared dataset inputs, but nothing filled them, and the generic 'external' dataset source they would have used is not a registered MLflow source type, so registering a model from such a run in Unity Catalog would fail to parse it. Capabilities had no runtime reader, the per-trial Lightning logger duplicated the per-epoch metrics and was the only place a trial waited on the tracker, and nothing passed a list of trackers. - fit_inputs reads the snapshot manifest's source tables (and a custom training table's source) as plain JSON when present, best-effort. - RunRecord.inputs maps each name to connector/location/version/ version_kind. MLflow logs Databricks tables as Delta table sources at the snapshot's Delta version and file/object-store sources by URI; other sources are skipped; failures only warn. - Remove Capabilities, trial_logger (engine and kumo-core) and list-of-trackers; fit(tracking=) takes one Tracking. Rank-0 gating stays. - Fit-run metrics keep finite floats only. Verified with the tracking contract, MLflow tracking (incl. a real fit and a Delta source that MLflow parses back with its table id) and optional import tests. Co-Authored-By: Claude Opus 5.5 --- .../src/kumo_core/automl/auto_trainer.py | 13 +- .../kumo-core/src/kumo_core/train/trainer.py | 20 +-- .../src/kumo_core/training/orchestration.py | 2 - .../src/kumo_core/training/runtime.py | 12 +- packages/kumo-core/tests/test_training.py | 24 --- packages/kumo-engine/README.md | 40 ++--- packages/kumo-engine/kumo/engine/_events.py | 28 +--- packages/kumo-engine/kumo/engine/_tracking.py | 137 +++++++++--------- .../kumo/engine/integrations/mlflow.py | 125 ++++++++-------- packages/kumo-engine/kumo/engine/tracking.py | 3 +- .../kumo/engine/trainer/_runtime.py | 6 +- .../kumo/engine/trainer/trainer.py | 21 ++- .../kumo-engine/test/test_mlflow_tracking.py | 77 ++++++++-- .../test/test_tracking_contract.py | 98 +++++++------ 14 files changed, 306 insertions(+), 300 deletions(-) diff --git a/packages/kumo-core/src/kumo_core/automl/auto_trainer.py b/packages/kumo-core/src/kumo_core/automl/auto_trainer.py index 2193a054c..3abe36170 100644 --- a/packages/kumo-core/src/kumo_core/automl/auto_trainer.py +++ b/packages/kumo-core/src/kumo_core/automl/auto_trainer.py @@ -17,7 +17,7 @@ import warnings from dataclasses import asdict, dataclass, fields, is_dataclass from enum import Enum -from typing import Any, Callable +from typing import Any import pandas as pd import torch @@ -210,8 +210,6 @@ class AutoTrainer: home_dir: The home directory used to resolve ``root_dir`` and to load/save :class:`TrainStatus`. If ``None``, the runtime supplies its default. - trial_logger: Called with ``(trial, attempt)``; may return a - Lightning logger for that trial. """ def __init__( self, @@ -224,7 +222,6 @@ def __init__( checkpoint_path: str | None = None, home_dir: str | None = None, checkpoint_encoder_dir: str | None = None, - trial_logger: Callable[[int, int], Any] | None = None, **kwargs: Any, ) -> None: if not isinstance(task, ResolvedNumericalTask): @@ -233,7 +230,6 @@ def __init__( self.task = task self.runtime = runtime self.instrumentation = instrumentation - self.trial_logger = trial_logger self.checkpoint_path = checkpoint_path self.checkpoint_encoder_dir = checkpoint_encoder_dir self.max_tries = max_tries @@ -464,7 +460,6 @@ def _train( pruning: Callback | None = None, status: TrainStatus | None = None, trial: int | None = None, - attempt: int | None = None, ) -> list[float]: r"""Config-driven training function. @@ -665,11 +660,6 @@ def _train( "TT-NG requires a diskgraph task-dataset bundle") extra_trainer_kwargs['diskgraph_task_dataset_bundle_dir'] = ( self.diskgraph_task_dataset_bundle_dir) - if (self.trial_logger is not None and trial is not None - and attempt is not None): - pl_logger = self.trial_logger(trial, attempt) - if pl_logger is not None: - extra_trainer_kwargs['logger'] = pl_logger with self.instrumentation.timing( "auto_trainer.train.construct_trainer"): @@ -903,7 +893,6 @@ def _run( pruning=pruning, status=status, trial=i + 1, - attempt=j + 1, ) trial_seconds = time.monotonic() - trial_start best_performance = _eval_fn[tune_mode](val_performance) diff --git a/packages/kumo-core/src/kumo_core/train/trainer.py b/packages/kumo-core/src/kumo_core/train/trainer.py index d054e8353..458a6536f 100644 --- a/packages/kumo-core/src/kumo_core/train/trainer.py +++ b/packages/kumo-core/src/kumo_core/train/trainer.py @@ -1432,18 +1432,14 @@ def create_pl_trainer(self): if self.fit_mode.is_refit: limit_val_batches = 0 - # The stopper reads ``log_dir``, which comes from the first logger. - pl_logger: Any = pl.loggers.TensorBoardLogger( - save_dir=self.get_log_dir(local=True), - name='', - version='', - sub_dir='tensorboard', - ) - extra_logger = self.kwargs.pop("logger", None) - if isinstance(extra_logger, (list, tuple)): - pl_logger = [pl_logger, *extra_logger] - elif extra_logger is not None: - pl_logger = [pl_logger, extra_logger] + pl_logger = self.kwargs.get("logger", None) + if pl_logger is None: + pl_logger = pl.loggers.TensorBoardLogger( + save_dir=self.get_log_dir(local=True), + name='', + version='', + sub_dir='tensorboard', + ) plugins = self.kwargs.pop('plugins', None) if plugins is None: diff --git a/packages/kumo-core/src/kumo_core/training/orchestration.py b/packages/kumo-core/src/kumo_core/training/orchestration.py index affba0137..b7235971c 100644 --- a/packages/kumo-core/src/kumo_core/training/orchestration.py +++ b/packages/kumo-core/src/kumo_core/training/orchestration.py @@ -96,7 +96,6 @@ class TrainingBindings: artifact_publisher: VitalArtifactPublisher before_evaluate: Callable[[], None] = _no_op load_validation_metrics: MetricsLoader = _empty_metrics - trial_logger: Callable[[int, int], Any] | None = None @dataclass(frozen=True) @@ -287,7 +286,6 @@ def _create_auto_trainer( task=training_input.task, runtime=bindings.runtime, instrumentation=bindings.instrumentation, - trial_logger=bindings.trial_logger, random_state_seed=options.random_state_seed, checkpoint_path=checkpoint_path, checkpoint_encoder_dir=checkpoint_encoder_dir, diff --git a/packages/kumo-core/src/kumo_core/training/runtime.py b/packages/kumo-core/src/kumo_core/training/runtime.py index 0498e6a09..14ada8ff5 100644 --- a/packages/kumo-core/src/kumo_core/training/runtime.py +++ b/packages/kumo-core/src/kumo_core/training/runtime.py @@ -7,15 +7,7 @@ import os from pathlib import Path -from typing import ( - TYPE_CHECKING, - Any, - Callable, - Dict, - Optional, - Protocol, - Tuple, -) +from typing import TYPE_CHECKING, Any, Dict, Optional, Protocol, Tuple import psutil from diskgraph import SamplerEngine @@ -212,7 +204,6 @@ def local_training_bindings( run_name: Optional[str] = None, embedding_models: Optional[EmbeddingModelStore] = None, instrumentation: Optional[TrainingInstrumentation] = None, - trial_logger: Optional[Callable[[int, int], Any]] = None, ) -> Any: r"""Binds one resolved training input to this process. @@ -237,5 +228,4 @@ def local_training_bindings( artifact_publisher=FilesystemVitalArtifactPublisher( Path(training_input.home_dir) / 'published-model'), load_validation_metrics=_trainer_validation_metrics, - trial_logger=trial_logger, ) diff --git a/packages/kumo-core/tests/test_training.py b/packages/kumo-core/tests/test_training.py index 61c36e882..1b8720aca 100644 --- a/packages/kumo-core/tests/test_training.py +++ b/packages/kumo-core/tests/test_training.py @@ -527,27 +527,3 @@ def test_hosted_warm_start_rejects_forecasting_before_loading_trainer( assert automl_runtime.resolve_warm_start( ModelPlan(), numerical_task(TaskType.FORECASTING), Runtime()) == (None, None) - - -@pytest.mark.parametrize("supplied_loggers", [0, 1, 2]) -def test_pl_trainer_keeps_tensorboard_and_adds_supplied_loggers( - tmp_path, supplied_loggers): - from pytorch_lightning.loggers import CSVLogger, TensorBoardLogger - - trainer = CoreTrainer.__new__(CoreTrainer) - trainer.get_log_dir = lambda local=False, original=False: str(tmp_path) - trainer.early_stopping = False - trainer.fit_mode = FitMode.fit - trainer.tune_metric = "mae" - trainer.max_epochs = 1 - supplied = [CSVLogger(str(tmp_path)) for _ in range(supplied_loggers)] - trainer.kwargs = {"accelerator": "cpu"} - if supplied: - trainer.kwargs["logger"] = (supplied[0] - if len(supplied) == 1 else supplied) - - trainer.create_pl_trainer() - - assert isinstance(trainer.pl_trainer.loggers[0], TensorBoardLogger) - assert trainer.pl_trainer.loggers[1:] == supplied - assert trainer.pl_trainer.log_dir == str(tmp_path / "tensorboard") diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index 5b0b97817..f89a0e61c 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -370,25 +370,29 @@ result = trainer.fit(training_table, snapshot=snapshot, MLflow runs go to `MLFLOW_TRACKING_URI`: on Databricks this is automatic; for SageMaker managed MLflow set it to the tracking server ARN with the `sagemaker-mlflow` plugin installed. With nothing configured MLflow writes a -local store in the working directory. Per-epoch metrics use step = epoch; -Lightning's per-step metrics are prefixed `lightning-`. - -Pass a list to record to several trackers; a tracker that raises is not -called again for that fit and its run is ended as failed. Other systems plug -in through the `kumo.engine.tracking.Tracking` protocol, which receives -ready-built `RunRecord`s so every tracker records the same names: -`start(record)` with the fit run, `on_trial(record, event)` with a trial +local store in the working directory. Per-epoch metrics use step = epoch. + +The fit's source tables (from the snapshot manifest, plus a custom training +table's source) are logged as MLflow run inputs: Databricks tables as Delta +tables at the snapshot's Delta version, so Unity Catalog links each table to a +model registered from the run in a Databricks notebook or job; file and +object-store sources by URI. Other warehouse tables and Custom SQL sources are +not logged as inputs; they stay in the bundle's `provenance.json`. + +Other systems plug in through the `kumo.engine.tracking.Tracking` protocol, +which receives ready-built `RunRecord`s so every tracker records the same +names: `start(record)` with the fit run, `on_trial(record, event)` with a trial attempt's run after each of its events, and `finish(record, error)` with the -fit run's final record (`None` when tracking stopped early), plus an optional -`trial_logger(trial, attempt)` returning a Lightning logger. Params are the -resolved model plan (fit) or searched hyperparameters and `attempt` (trial). -Runs carry pointers, not lineage: `kumo.kind` and `kumo.run_id` (plus -`kumo.parent_run`, `kumo.status` and `kumo.error` for outcomes); lineage stays -in the model bundle, whose `provenance.json` is logged on the fit run when the -bundle has one, with `query.pql` and `model_plan.json`. MLflow also records -the fit's input datasets as native run inputs; Snowflake Experiment Tracking -has no dataset inputs, so it skips them. Your `tags=` are added as given, -except `kumo.*` names and param names. +fit run's final record (`None` when tracking stopped early). A tracker that +raises is not called again for that fit and its run is ended as failed. +Params are the resolved model plan (fit) or searched hyperparameters and +`attempt` (trial). Runs carry pointers, not lineage: `kumo.kind` and +`kumo.run_id` (plus `kumo.parent_run`, `kumo.status` and `kumo.error` for +outcomes); lineage stays in the model bundle, whose `provenance.json` is logged +on the fit run when the bundle has one, with `query.pql` and `model_plan.json`. +`RunRecord.inputs` maps each source table to its `connector`, `location`, +`version` and `version_kind`. Your `tags=` are added as given, except `kumo.*` +names and param names. ## BigQuery staged ingestion diff --git a/packages/kumo-engine/kumo/engine/_events.py b/packages/kumo-engine/kumo/engine/_events.py index 913c45d24..7309aab19 100644 --- a/packages/kumo-engine/kumo/engine/_events.py +++ b/packages/kumo-engine/kumo/engine/_events.py @@ -12,19 +12,16 @@ Any, Callable, Dict, - List, Literal, Mapping, Optional, Sequence, - TypeVar, cast, ) from kumo_core.instrumentation import NoOpTrainingInstrumentation logger = logging.getLogger(__name__) -T = TypeVar('T') EventName = Literal['fit_started', 'trial_started', 'epoch_ended', 'trial_ended', 'fit_ended'] @@ -62,21 +59,6 @@ def _finite_floats(metrics: Mapping[str, Any]) -> Dict[str, float]: return result -def call_each(targets: List[T], call: Callable[[T], Any], what: str, - dropped: Optional[Callable[[T], None]] = None) -> List[Any]: - values = [] - for target in list(targets): - try: - values.append(call(target)) - except Exception: - logger.warning('%s %r failed; it is not called again in this run', - what, target, exc_info=True) - targets.remove(target) - if dropped is not None: - dropped(target) - return values - - class EventEmitter(NoOpTrainingInstrumentation): def __init__(self, run_id: str, callbacks: Sequence[Callable[[Event], None]]) -> None: @@ -91,8 +73,14 @@ def emit(self, name: EventName, *, trial: Optional[int] = None, trial=trial, epoch=epoch, metrics=_finite_floats(metrics or {}), params=dict(params or {})) - call_each(self._callbacks, lambda callback: callback(event), - 'Progress callback') + for callback in list(self._callbacks): + try: + callback(event) + except Exception: + logger.warning( + 'Progress callback %r failed; it is disabled for the ' + 'rest of run %s', callback, self.run_id, exc_info=True) + self._callbacks.remove(callback) def event(self, name: str, **fields: Any) -> None: self.emit(cast(EventName, name), **fields) diff --git a/packages/kumo-engine/kumo/engine/_tracking.py b/packages/kumo-engine/kumo/engine/_tracking.py index dfd8368f4..2685f6801 100644 --- a/packages/kumo-engine/kumo/engine/_tracking.py +++ b/packages/kumo-engine/kumo/engine/_tracking.py @@ -11,7 +11,6 @@ import threading import time import warnings -from collections.abc import Sequence as SequenceABC from dataclasses import dataclass, field from pathlib import Path from typing import ( @@ -26,24 +25,20 @@ Protocol, Sequence, Tuple, - Union, ) -from kumo.engine._events import Event, call_each +from kumo.engine._events import Event, _finite_floats if TYPE_CHECKING: from kumo.engine.trainer.trainer import TrainingResult logger = logging.getLogger(__name__) -# Lightning logs per global step, apart from the per-epoch ``steps``. -LIGHTNING_PREFIX = 'lightning' DROPPED_PARAMS = 'kumo.dropped_params' DROPPED_METRICS = 'kumo.dropped_metrics' # Tracker calls run on one background thread so a slow tracking server # never stalls training; these bound how long the fit waits for it. QUEUE_SIZE = 1000 -REPLY_SECONDS = 5.0 FINISH_SECONDS = 30.0 @@ -54,15 +49,16 @@ class FitContext: run_id: str query: str model_plan: Mapping[str, Any] - #: Datasets the fit reads, by name: their location (path, URI or table). - inputs: Mapping[str, str] = field(default_factory=dict) + inputs: Mapping[str, Mapping[str, Optional[str]]] = field( + default_factory=dict) @dataclass(frozen=True) class RunRecord: r"""One tracked run; ``steps`` are per-epoch ``(epoch, value)`` histories, ``artifacts`` map file names to text and ``inputs`` map - dataset names to their location.""" + source table names to their ``connector``, ``location``, ``version`` and + ``version_kind``.""" name: Optional[str] = None params: Mapping[str, str] = field(default_factory=dict) @@ -71,19 +67,44 @@ class RunRecord: ...]] = field(default_factory=dict) tags: Mapping[str, str] = field(default_factory=dict) artifacts: Mapping[str, str] = field(default_factory=dict) - inputs: Mapping[str, str] = field(default_factory=dict) + inputs: Mapping[str, Mapping[str, Optional[str]]] = field( + default_factory=dict) -@dataclass(frozen=True) -class Capabilities: - r"""What a tracking adapter records beyond params, metrics and tags.""" +INPUT_FIELDS = ('connector', 'location', 'version', 'version_kind') + + +def fit_inputs(snapshot_dir: Path, + table_dir: Path) -> Dict[str, Dict[str, Optional[str]]]: + r"""Source tables recorded in the snapshot's manifest, plus a custom + training table's source, if those manifests exist.""" + try: + tables = dict( + _parents(snapshot_dir / 'snapshot-manifest.json').get( + 'source_tables') or {}) + custom = _parents(table_dir / 'training-table-manifest.json').get( + 'source_table') + if custom: + tables['training_table'] = custom + return { + str(name): {key: _text(entry.get(key)) + for key in INPUT_FIELDS} + for name, entry in tables.items() if isinstance(entry, Mapping) + } + except Exception: + logger.warning('Could not read the fit\'s source tables', + exc_info=True) + return {} + + +def _parents(path: Path) -> Mapping[str, Any]: + if not path.is_file(): + return {} + return json.loads(path.read_text(encoding='utf-8')).get('parents') or {} + - nested_runs: bool = False - system_metrics: bool = False - step_metrics: bool = False - artifacts: bool = False - dataset_inputs: bool = False - model_link: bool = False +def _text(value: Any) -> Optional[str]: + return None if value is None else str(value) def run_record(context: FitContext, result: Optional['TrainingResult'] = None, @@ -110,7 +131,7 @@ def run_record(context: FitContext, result: Optional['TrainingResult'] = None, } return RunRecord( params=params, - metrics=metrics, + metrics=_finite_floats(metrics), tags={ **_user_tags(tags, params), 'kumo.kind': 'fit', @@ -190,10 +211,8 @@ class Tracking(Protocol): record without metrics, `on_trial` a trial attempt's record so far with the event that updated it, and `finish` the fit run's final record (`None` if tracking stopped early, which should end the run as failed). - Optional members: ``prepare()``, called first on the fit's own thread; - ``tags`` (extra fit-run tags); ``trial_logger(trial, attempt)`` returning - a Lightning logger (whose methods must not raise and are called on the - training thread) or None; and ``capabilities``. + Optional members: ``prepare()``, called first on the fit's own thread, + and ``tags`` (extra fit-run tags). """ def start(self, record: RunRecord) -> None: ... @@ -206,18 +225,9 @@ def finish(self, record: Optional[RunRecord], ... -Trackers = Union[Tracking, Sequence[Tracking], None] - - class TrackingSession: - def __init__(self, tracking: Trackers) -> None: - if tracking is None or _rank() != 0: - trackers: List[Tracking] = [] - elif isinstance(tracking, SequenceABC): - trackers = list(tracking) - else: - trackers = [tracking] - self._trackers = trackers + def __init__(self, tracking: Optional[Tracking]) -> None: + self._tracker = tracking if _rank() == 0 else None self._context: Optional[FitContext] = None self._trials: Dict[int, List[Event]] = {} self._fit_ended: Optional[Event] = None @@ -225,49 +235,29 @@ def __init__(self, tracking: Trackers) -> None: QUEUE_SIZE) self._worker: Optional[threading.Thread] = None self._behind = False - self._slow = False @property def enabled(self) -> bool: - return bool(self._trackers) + return self._tracker is not None def start(self, context: Callable[[], FitContext]) -> None: - if not self._trackers: + if self._tracker is None: return try: value = context() except Exception: logger.warning('Experiment tracking failed; the fit continues', exc_info=True) - self._trackers = [] + self._tracker = None return self._context = value - self._call_all(lambda tracker: getattr(tracker, 'prepare', _none)()) + self._call(lambda tracker: getattr(tracker, 'prepare', _none)()) self._worker = threading.Thread(target=self._work, name='kumo-tracking', daemon=True) self._worker.start() - self._submit(lambda: self._call_all(lambda tracker: tracker.start( + self._submit(lambda: self._call(lambda tracker: tracker.start( run_record(value, tags=getattr(tracker, 'tags', None))))) - def trial_logger(self, trial: int, attempt: int) -> Optional[Any]: - if self._worker is None or self._slow: - return None - reply: 'queue.Queue[List[Any]]' = queue.Queue(1) - if not self._submit(lambda: reply.put(self._call_all( - lambda tracker: getattr(tracker, 'trial_logger', _none) - (trial, attempt)))): - return None - try: - values = reply.get(timeout=REPLY_SECONDS) - except queue.Empty: - logger.warning( - 'Experiment tracking did not answer within %ss; this and ' - 'later trials log no per-step metrics', REPLY_SECONDS) - self._slow = True - return None - loggers = [pl_logger for pl_logger in values if pl_logger is not None] - return loggers or None - def on_event(self, event: Event) -> None: if self._context is None: return @@ -284,7 +274,7 @@ def on_event(self, event: Event) -> None: }) events.append(event) record = trial_record(self._context, events) - self._submit(lambda: self._call_all( + self._submit(lambda: self._call( lambda tracker: tracker.on_trial(record, event))) def finish(self, result: Optional['TrainingResult'], @@ -300,14 +290,14 @@ def finish(self, result: Optional['TrainingResult'], exc_info=True) record = None - def finish_all() -> None: - trackers, self._trackers = self._trackers, [] - call_each(trackers, lambda tracker: tracker.finish(record, error), - 'Experiment tracking') + def finish_tracker() -> None: + tracker, self._tracker = self._tracker, None + if tracker is not None: + tracker.finish(record, error) deadline = time.monotonic() + FINISH_SECONDS try: - for job in (finish_all, None): + for job in (finish_tracker, None): self._jobs.put(job, timeout=max(0.0, deadline - time.monotonic())) except queue.Full: @@ -340,9 +330,18 @@ def _work(self) -> None: except Exception: logger.warning('Experiment tracking failed', exc_info=True) - def _call_all(self, call: Callable[[Tracking], Any]) -> List[Any]: - return call_each(self._trackers, call, 'Experiment tracking', - dropped=_abandon) + def _call(self, call: Callable[[Tracking], Any]) -> None: + tracker = self._tracker + if tracker is None: + return + try: + call(tracker) + except Exception: + logger.warning( + 'Experiment tracking failed; it is off for the rest of this ' + 'run', exc_info=True) + self._tracker = None + _abandon(tracker) def _none(*args: Any) -> None: diff --git a/packages/kumo-engine/kumo/engine/integrations/mlflow.py b/packages/kumo-engine/kumo/engine/integrations/mlflow.py index ede547633..a3b29a2ba 100644 --- a/packages/kumo-engine/kumo/engine/integrations/mlflow.py +++ b/packages/kumo-engine/kumo/engine/integrations/mlflow.py @@ -11,18 +11,12 @@ import posixpath import re import time +import warnings from contextlib import ExitStack, contextmanager from typing import Any, Callable, Dict, Iterator, Mapping, Optional, Set, Tuple -from pytorch_lightning.loggers import MLFlowLogger - from kumo.engine._events import Event -from kumo.engine._tracking import ( - DROPPED_PARAMS, - LIGHTNING_PREFIX, - Capabilities, - RunRecord, -) +from kumo.engine._tracking import DROPPED_PARAMS, RunRecord from kumo.engine.connector._extras import import_provider logger = logging.getLogger(__name__) @@ -36,13 +30,16 @@ 'MLFLOW_HTTP_REQUEST_MAX_RETRIES': '2', 'MLFLOW_HTTP_REQUEST_TIMEOUT': '30', } +_PATH_CONNECTORS = ('file', 's3', 'gcs', 'adls') class MlflowTracking: r"""Records `Trainer.fit` in MLflow: one run per fit (nested under the - active run, if any) with a child run per trial attempt. Params MLflow - rejects are counted in ``kumo.dropped_params``. Concurrent fits in one - process are not supported. + active run, if any) with a child run per trial attempt. Source tables + are logged as run inputs: Databricks tables as Delta tables (Unity + Catalog then links them to a model registered from the run), file and + object-store sources by URI. Params MLflow rejects are counted in + ``kumo.dropped_params``. Concurrent fits in one process are not supported. Args: experiment_name: experiment for the fit run, created if missing. @@ -53,10 +50,6 @@ class MlflowTracking: tags: extra tags for the fit run. """ - capabilities = Capabilities(nested_runs=True, system_metrics=True, - step_metrics=True, artifacts=True, - dataset_inputs=True) - def __init__( self, experiment_name: Optional[str] = None, @@ -117,31 +110,11 @@ def start(self, record: RunRecord) -> None: self._experiment_id = run.info.experiment_id self._log_params(self._parent, record.params) self._log_artifacts(record.artifacts) - if record.inputs: - entities = mlflow.entities - self._client.log_inputs(self._parent, datasets=[ - entities.DatasetInput( - entities.Dataset( - name=name, digest=hashlib.sha256( - location.encode()).hexdigest()[:8], - source_type='external', - source=json.dumps({'uri': location})), - tags=[entities.InputTag('mlflow.data.context', 'train')]) - for name, location in record.inputs.items() - ]) - - def trial_logger(self, trial: int, - attempt: int) -> Optional['_KumoMLFlowLogger']: - run_id = self._children.get((trial, attempt)) - if run_id is None: - return None - trial_logger = _KumoMLFlowLogger( - run_id=run_id, tracking_uri=self._mlflow.get_tracking_uri(), - log_model=False, prefix=LIGHTNING_PREFIX, synchronous=False) - # Lightning resolves these lazily, outside the tracking guard. - trial_logger.experiment - trial_logger.version - return trial_logger + try: + self._log_inputs(record.inputs) + except Exception: + logger.warning('Could not log the fit\'s source tables to MLflow', + exc_info=True) def on_trial(self, record: RunRecord, event: Event) -> None: key = (event.trial or 0, int(event.params['attempt'])) @@ -191,6 +164,25 @@ def _log_artifacts(self, artifacts: Mapping[str, str]) -> None: self._client.log_text(self._parent, text, name) self._artifacts.add(name) + def _log_inputs(self, + inputs: Mapping[str, Mapping[str, Optional[str]]]) -> None: + meta = import_provider('mlflow.data.meta_dataset', 'mlflow') + entities = self._mlflow.entities + datasets = [] + for name, entry in inputs.items(): + source = _dataset_source(entry) + if source is None: + continue + digest = hashlib.sha256( + json.dumps(dict(entry), sort_keys=True).encode()).hexdigest() + dataset = meta.MetaDataset(source, name=name, digest=digest[:8]) + datasets.append( + entities.DatasetInput( + dataset._to_mlflow_entity(), + tags=[entities.InputTag('mlflow.data.context', 'train')])) + if datasets: + self._client.log_inputs(self._parent, datasets=datasets) + def _log_tags(self, run_id: str, tags: Mapping[str, str]) -> None: entities = self._mlflow.entities self._client.log_batch( @@ -223,30 +215,35 @@ def _log_metrics(self, run_id: Optional[str], ]) -class _KumoMLFlowLogger(MLFlowLogger): - def __init__(self, **kwargs: Any) -> None: - super().__init__(**kwargs) - self._failed = False - - def log_metrics(self, metrics: Mapping[str, float], - step: Optional[int] = None) -> None: - self._guarded(super().log_metrics, metrics, step) - - def log_hyperparams(self, params: Any) -> None: - self._guarded(super().log_hyperparams, params) - - def _guarded(self, function: Callable[..., Any], *args: Any) -> None: - if self._failed: - return - try: - function(*args) - except Exception: - logger.warning('MLflow logging failed; it is off for this trial', - exc_info=True) - self._failed = True - - def finalize(self, status: str = 'success') -> None: - pass # the tracker ends the run +def _dataset_source(entry: Mapping[str, Optional[str]]) -> Any: + connector, location = entry.get('connector'), entry.get('location') + if not location or location.startswith('sql:'): + return None + if connector == 'databricks': + delta = import_provider('mlflow.data.delta_dataset_source', 'mlflow') + return delta.DeltaDatasetSource( + delta_table_name=_unquoted(location), + delta_table_version=_delta_version(entry)) + if connector in _PATH_CONNECTORS: + registry = import_provider('mlflow.data.dataset_source_registry', + 'mlflow') + with warnings.catch_warnings(): + warnings.simplefilter('ignore') + return registry.resolve_dataset_source(location) + return None + + +def _unquoted(name: str) -> str: + parts = re.findall(r'`((?:[^`]|``)*)`', name) + return '.'.join(part.replace('``', '`') for part in parts) or name + + +def _delta_version(entry: Mapping[str, Optional[str]]) -> Optional[int]: + version = entry.get('version') or '' + head = version.split('_', 1)[0] + if entry.get('version_kind') == 'exact' and head.isdigit(): + return int(head) + return None def _mlflow_params(params: Mapping[str, str]) -> Dict[str, str]: diff --git a/packages/kumo-engine/kumo/engine/tracking.py b/packages/kumo-engine/kumo/engine/tracking.py index 2c1f3b29d..a466674b0 100644 --- a/packages/kumo-engine/kumo/engine/tracking.py +++ b/packages/kumo-engine/kumo/engine/tracking.py @@ -3,10 +3,9 @@ # SPDX-License-Identifier: Apache-2.0 r"""API for writing an experiment-tracking adapter for ``fit(tracking=...)``.""" -from kumo.engine._tracking import Capabilities, RunRecord, Tracking +from kumo.engine._tracking import RunRecord, Tracking __all__ = [ 'Tracking', 'RunRecord', - 'Capabilities', ] diff --git a/packages/kumo-engine/kumo/engine/trainer/_runtime.py b/packages/kumo-engine/kumo/engine/trainer/_runtime.py index 156b6408e..8ce71b3d8 100644 --- a/packages/kumo-engine/kumo/engine/trainer/_runtime.py +++ b/packages/kumo-engine/kumo/engine/trainer/_runtime.py @@ -11,11 +11,9 @@ def local_training_bindings(training_input: Any, run_name: Optional[str] = None, embedding_models: Any = None, - instrumentation: Any = None, - trial_logger: Any = None) -> Any: + instrumentation: Any = None) -> Any: from kumo_core.training.runtime import local_training_bindings as bind return bind(training_input, run_name=run_name, embedding_models=embedding_models, - instrumentation=instrumentation, - trial_logger=trial_logger) + instrumentation=instrumentation) diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index 96095d799..8ccb54149 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -46,7 +46,12 @@ from kumo.engine._events import Event, EventEmitter, query_sha256 from kumo.engine._manifest import BundleProvenance from kumo.engine._scratch import new_run_id, trainer_scratch_dir -from kumo.engine._tracking import FitContext, Trackers, TrackingSession +from kumo.engine._tracking import ( + FitContext, + Tracking, + TrackingSession, + fit_inputs, +) from kumo.engine.connector.base import Connector from kumo.engine.connector.source_table import SourceTable from kumo.engine.graph import GraphSnapshot @@ -293,7 +298,7 @@ def fit( export_config: Optional[ModelOutputConfig] = None, warm_start: Optional[Self] = None, callbacks: Sequence[Callable[[Event], None]] = (), - tracking: Trackers = None, + tracking: Optional[Tracking] = None, ) -> TrainingResult: r"""Train a model against `train_table`. @@ -321,9 +326,9 @@ def fit( match. Forecasting warm starts are unsupported. callbacks: called with each progress `Event`; a callback that raises is logged and not called again. - tracking: one `kumo.engine.tracking.Tracking` (e.g. - `kumo.engine.integrations.mlflow.MlflowTracking`) or a list of - them; tracking errors are logged, never raised. + tracking: a `kumo.engine.tracking.Tracking`, e.g. + `kumo.engine.integrations.mlflow.MlflowTracking`; tracking + errors are logged, never raised. """ if export_config is not None and not callable( getattr(export_config.connector.sink_backend, 'publish_model', @@ -506,6 +511,8 @@ def _fit( run_id=run_id, query=train_table.query, model_plan=to_json_dict(materialized.model_plan), + inputs=fit_inputs(Path(snapshot.index_path), + Path(train_table.staging_dir)), )) training_input = ResolvedTrainingInput( task=materialized.task, @@ -519,9 +526,7 @@ def _fit( bindings=local_training_bindings( training_input, run_name=run_id, embedding_models=self._embedding_models, - instrumentation=events, - trial_logger=(tracking.trial_logger - if tracking.enabled else None)), + instrumentation=events), options=CallableTrainingOptions(), ) diff --git a/packages/kumo-engine/test/test_mlflow_tracking.py b/packages/kumo-engine/test/test_mlflow_tracking.py index fd9ab98a7..5aa9b480e 100644 --- a/packages/kumo-engine/test/test_mlflow_tracking.py +++ b/packages/kumo-engine/test/test_mlflow_tracking.py @@ -117,15 +117,15 @@ def test_fit_logs_a_run_per_fit_and_per_trial(table_and_snapshot, caplog): if not name.startswith('system/') } assert metrics == {**result.metrics, 'seconds': metrics['seconds']} - assert 'not called again' not in caplog.text + assert 'off for the rest of this run' not in caplog.text assert [run.info.run_name for run in children] == ['trial-1-attempt-1', 'trial-2-attempt-1'] for child in children: assert child.info.status == 'FINISHED' assert child.data.tags['kumo.status'] == 'succeeded' - assert {'best_val_mae', 'seconds', 'val_mae', - 'lightning-epoch'} <= set(child.data.metrics) + assert {'best_val_mae', 'seconds', + 'val_mae'} <= set(child.data.metrics) history = client.get_metric_history(child.info.run_id, 'val_mae') assert sorted(metric.step for metric in history) == [1, 2] @@ -151,24 +151,23 @@ def fail(*args, **kwargs): assert mlflow.active_run() is None -@pytest.mark.parametrize('broken', ['log_batch', 'get_run']) def test_mlflow_error_ends_runs_failed_and_is_not_raised( - tracking_uri, monkeypatch, caplog, broken): + tracking_uri, monkeypatch, caplog): from mlflow.tracking import MlflowClient from kumo.engine.integrations.mlflow import MlflowTracking - original = getattr(MlflowClient, broken) + original = MlflowClient.log_batch def down(self, *args, metrics=(), **kwargs): - if broken == 'get_run' or metrics: + if metrics: raise RuntimeError('tracking server down') return original(self, *args, **kwargs) - monkeypatch.setattr(MlflowClient, broken, down) - replay([MlflowTracking(log_system_metrics=False)]) + monkeypatch.setattr(MlflowClient, 'log_batch', down) + replay(MlflowTracking(log_system_metrics=False)) - assert caplog.text.count('not called again') == 1 + assert caplog.text.count('off for the rest of this run') == 1 assert mlflow.active_run() is None statuses = {run.info.status for run in _runs(mlflow.MlflowClient())} assert statuses == {'FAILED'} @@ -210,7 +209,6 @@ def test_a_hung_server_does_not_stall_the_fit(hung_server, monkeypatch): import kumo.engine._tracking as tracking from kumo.engine.integrations.mlflow import MlflowTracking - monkeypatch.setattr(tracking, 'REPLY_SECONDS', 0.2) monkeypatch.setattr(tracking, 'FINISH_SECONDS', 0.5) monkeypatch.setenv('MLFLOW_HTTP_REQUEST_MAX_RETRIES', '0') monkeypatch.delenv('MLFLOW_HTTP_REQUEST_TIMEOUT', raising=False) @@ -218,7 +216,7 @@ def test_a_hung_server_does_not_stall_the_fit(hung_server, monkeypatch): mlflow.set_tracking_uri(hung_server) try: began = time.monotonic() - replay([MlflowTracking(log_system_metrics=False)]) + replay(MlflowTracking(log_system_metrics=False)) elapsed = time.monotonic() - began limits = {name: os.environ.get(name) for name in ( 'MLFLOW_HTTP_REQUEST_MAX_RETRIES', 'MLFLOW_HTTP_REQUEST_TIMEOUT')} @@ -228,3 +226,58 @@ def test_a_hung_server_does_not_stall_the_fit(hung_server, monkeypatch): assert elapsed < 1.5 assert limits == {'MLFLOW_HTTP_REQUEST_MAX_RETRIES': '0', 'MLFLOW_HTTP_REQUEST_TIMEOUT': '30'} + + +def test_source_tables_are_logged_as_native_inputs( + tracking_uri, monkeypatch): + from mlflow.data.delta_dataset_source import DeltaDatasetSource + + from kumo.engine.integrations.mlflow import MlflowTracking + + monkeypatch.setattr(DeltaDatasetSource, '_lookup_table_id', + lambda self, name: 'table-id') + replay(MlflowTracking(log_system_metrics=False)) + + run, = [run for run in _runs(mlflow.MlflowClient()) + if run.data.tags['kumo.kind'] == 'fit'] + inputs = { + item.dataset.name: (item.dataset.source_type, + json.loads(item.dataset.source)) + for item in run.inputs.dataset_inputs + } + assert inputs == { + 'ents': ('s3', {'uri': 's3://bucket/ents.parquet'}), + 'orders': ('delta_table', { + 'delta_table_name': 'main.sales.orders', + 'delta_table_version': 7, + 'is_databricks_uc_table': True, + 'delta_table_id': 'table-id', + }), + } + orders = next(item for item in run.inputs.dataset_inputs + if item.dataset.name == 'orders') + assert mlflow.data.get_source(orders).delta_table_id == 'table-id' + + +def test_fit_inputs_come_from_the_manifests(tmp_path, caplog): + from kumo.engine._tracking import fit_inputs + + snapshot, table = tmp_path / 'index', tmp_path / 'table' + snapshot.mkdir() + table.mkdir() + assert fit_inputs(snapshot, table) == {} + + entry = {'connector': 'file', 'location': '/data/ents.parquet', + 'version': '1790000000', 'version_kind': 'timestamp'} + (snapshot / 'snapshot-manifest.json').write_text(json.dumps( + {'parents': {'source_tables': {'ents': {**entry, 'extra': 1}}}})) + (table / 'training-table-manifest.json').write_text(json.dumps( + {'parents': {'source_table': {**entry, 'version': None}}})) + assert fit_inputs(snapshot, table) == { + 'ents': entry, + 'training_table': {**entry, 'version': None}, + } + + (snapshot / 'snapshot-manifest.json').write_text('not json') + assert fit_inputs(snapshot, table) == {} + assert 'source tables' in caplog.text diff --git a/packages/kumo-engine/test/test_tracking_contract.py b/packages/kumo-engine/test/test_tracking_contract.py index 1b0b96934..40860298d 100644 --- a/packages/kumo-engine/test/test_tracking_contract.py +++ b/packages/kumo-engine/test/test_tracking_contract.py @@ -21,13 +21,22 @@ TrackingSession, run_record, ) -from kumo.engine.tracking import Capabilities, RunRecord +from kumo.engine.tracking import RunRecord RUN = 'trainer-fit-1' USER_TAGS = {'team': 'ents', 'kumo.run_id': 'overridden'} QUERY = 'PREDICT ents.Y FOR EACH ents.ID' +INPUTS = { + 'ents': {'connector': 's3', 'location': 's3://bucket/ents.parquet', + 'version': '1790000000', 'version_kind': 'timestamp'}, + 'orders': {'connector': 'databricks', + 'location': '`main`.`sales`.`orders`', + 'version': '7_1790000000', 'version_kind': 'exact'}, + 'users': {'connector': 'snowflake', 'location': '"DB"."SCH"."USERS"', + 'version': '1790000000', 'version_kind': 'timestamp'}, +} CONTEXT = FitContext( - run_id=RUN, query=QUERY, inputs={'ents': 's3://bucket/ents.parquet'}, + run_id=RUN, query=QUERY, inputs=INPUTS, model_plan={ 'optimization': {'base_lr': [0.01, 0.001], 'max_epochs': 2}, 'training_job': {'tune_metric': 'mae'}, @@ -72,17 +81,28 @@ def _epochs(trial, *values): class _Recorder: - def __init__(self): + def __init__(self, tracker=None): self.calls: List[Tuple[str, Any]] = [] + self.tracker = tracker + self.tags = getattr(tracker, 'tags', None) + + def prepare(self): + getattr(self.tracker, 'prepare', lambda: None)() def start(self, record): self.calls.append(('start', record)) + if self.tracker is not None: + self.tracker.start(record) def on_trial(self, record, event): self.calls.append(('on_trial', record)) + if self.tracker is not None: + self.tracker.on_trial(record, event) def finish(self, record, error): self.calls.append(('finish', record)) + if self.tracker is not None: + self.tracker.finish(record, error) def join_tracking_threads(): @@ -91,17 +111,15 @@ def join_tracking_threads(): thread.join(30) -def replay(trackers, events=EVENTS, result=RESULT, +def replay(tracker=None, events=EVENTS, result=RESULT, error=None) -> Dict[str, RunRecord]: - r"""Feeds the recorded fit to `trackers`; returns the records expected - of them.""" - recorder = _Recorder() - session = TrackingSession([recorder, *trackers]) + r"""Feeds the recorded fit to `tracker`; returns the records expected + of it.""" + recorder = _Recorder(tracker) + session = TrackingSession(recorder) session.start(lambda: CONTEXT) for event in events: session.on_event(event) - if event.name == 'trial_started': - session.trial_logger(event.trial, event.params['attempt']) session.finish(result, error) records = { record.tags['kumo.run_id']: record @@ -119,7 +137,6 @@ class Observed: steps: Mapping[str, Tuple[Tuple[int, float], ...]] tags: Mapping[str, str] parent: Optional[str] = None - inputs: Mapping[str, str] = field(default_factory=dict) artifacts: Mapping[str, str] = field(default_factory=dict) @@ -128,10 +145,14 @@ class Adapter: make: Callable[[], Any] observe: Callable[[], Dict[str, Observed]] kept_params: Callable[[Mapping[str, str]], Mapping[str, str]] = dict + nested_runs: bool = False + step_metrics: bool = False + artifacts: bool = False def gaps(expected: Dict[str, RunRecord], observed: Dict[str, Observed], - capabilities: Capabilities, kept_params: Callable) -> List[str]: + adapter: Adapter) -> List[str]: + kept_params = adapter.kept_params found = [] if set(observed) != set(expected): return [f'runs {sorted(observed)} != {sorted(expected)}'] @@ -154,7 +175,7 @@ def differ(what, have, want): differ('metrics', {k: seen.metrics.get(k) for k in record.metrics}, dict(record.metrics)) names = set(record.metrics) - if capabilities.step_metrics: + if adapter.step_metrics: names |= set(record.steps) differ('steps', {k: seen.steps.get(k) for k in record.steps}, dict(record.steps)) @@ -166,11 +187,9 @@ def differ(what, have, want): sorted(k for k in seen.tags if k.startswith('kumo.') and k not in (DROPPED_PARAMS, DROPPED_METRICS)), sorted(k for k in record.tags if k.startswith('kumo.'))) - if capabilities.nested_runs: + if adapter.nested_runs: differ('parent', seen.parent, record.tags.get('kumo.parent_run')) - if capabilities.dataset_inputs: - differ('inputs', dict(seen.inputs), dict(record.inputs)) - if capabilities.artifacts: + if adapter.artifacts: differ('artifacts', dict(seen.artifacts), dict(record.artifacts)) return found @@ -206,10 +225,6 @@ def history(run_id, key): a.path: mlflow.artifacts.load_text( f'{run.info.artifact_uri}/{a.path}') for a in client.list_artifacts(run.info.run_id) - }, - inputs={ - d.dataset.name: json.loads(d.dataset.source)['uri'] - for d in run.inputs.dataset_inputs }) for run in runs } @@ -218,7 +233,8 @@ def history(run_id, key): yield Adapter( make=lambda: MlflowTracking(log_system_metrics=False, tags=USER_TAGS), observe=observe, - kept_params=_mlflow_params) + kept_params=_mlflow_params, nested_runs=True, step_metrics=True, + artifacts=True) finally: while mlflow.active_run() is not None: mlflow.end_run() @@ -231,7 +247,7 @@ def adapter(request) -> Adapter: def test_records_of_the_recorded_fit(): - records = replay([]) + records = replay() fit = records[RUN] assert fit.tags == {'team': 'ents', 'kumo.kind': 'fit', 'kumo.run_id': RUN} @@ -250,7 +266,7 @@ def test_records_of_the_recorded_fit(): assert fit.metrics == {'val_mae': 0.3, 'test_mae': 0.32, 'seconds': 9.0} assert fit.artifacts['query.pql'] == QUERY assert json.loads(fit.artifacts['model_plan.json']) == CONTEXT.model_plan - assert fit.inputs == {'ents': 's3://bucket/ents.parquet'} + assert fit.inputs == INPUTS oom = records[f'{RUN}-trial-2-attempt-1'] assert oom == RunRecord( @@ -269,38 +285,38 @@ def test_records_of_the_recorded_fit(): 'val_mae': ((1, 0.5), (2, 0.3))} -def test_adapter_records_the_same_runs_beside_a_failing_tracker( - adapter, caplog, tmp_path): +def test_adapter_records_the_same_runs(adapter, tmp_path): + (tmp_path / 'provenance.json').write_text('{"bundle": "b"}') + result = SimpleNamespace(metrics=RESULT.metrics, bundle_dir=tmp_path) + expected = replay(adapter.make(), result=result) + + assert expected[RUN].artifacts['provenance.json'] == '{"bundle": "b"}' + assert gaps(expected, adapter.observe(), adapter) == [] + + +def test_a_raising_tracker_is_ended_and_not_called_again(caplog): class RaisesOnTrial(_Recorder): def on_trial(self, record, event): super().on_trial(record, event) raise RuntimeError('tracker down') - (tmp_path / 'provenance.json').write_text('{"bundle": "b"}') - result = SimpleNamespace(metrics=RESULT.metrics, bundle_dir=tmp_path) - broken, tracker = RaisesOnTrial(), adapter.make() - expected = replay([broken, tracker], result=result) - - assert expected[RUN].artifacts['provenance.json'] == '{"bundle": "b"}' + broken = RaisesOnTrial() + replay(broken) assert [hook for hook, _ in broken.calls] == [ 'start', 'on_trial', 'finish' ] assert broken.calls[-1] == ('finish', None) - assert caplog.text.count('not called again') == 1 - assert gaps(expected, adapter.observe(), tracker.capabilities, - adapter.kept_params) == [] + assert caplog.text.count('off for the rest of this run') == 1 def test_adapter_records_a_failed_fit(adapter): - tracker = adapter.make() failed = _event('fit_ended', status='failed', error='ValueError: stop') - expected = replay([tracker], [*EVENTS[:-1], failed], None, + expected = replay(adapter.make(), [*EVENTS[:-1], failed], None, ValueError('stop')) assert expected[RUN].tags['kumo.error'] == 'ValueError: stop' - assert gaps(expected, adapter.observe(), tracker.capabilities, - adapter.kept_params) == [] + assert gaps(expected, adapter.observe(), adapter) == [] def test_only_rank_zero_tracks(monkeypatch): @@ -317,7 +333,6 @@ def test_only_rank_zero_tracks(monkeypatch): def test_a_hung_tracker_does_not_stall_the_fit(monkeypatch, caplog): import kumo.engine._tracking as tracking - monkeypatch.setattr(tracking, 'REPLY_SECONDS', 0.2) monkeypatch.setattr(tracking, 'FINISH_SECONDS', 0.5) release = threading.Event() @@ -329,12 +344,11 @@ def start(self, record): hung = Hung() began = time.monotonic() try: - replay([hung]) + replay(hung) elapsed = time.monotonic() - began finally: release.set() join_tracking_threads() assert elapsed < 1.5 - assert caplog.text.count('did not answer') == 1 assert 'did not finish within' in caplog.text From 2686f5c04354222c71392a719ca5086f71600316 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Thu, 22 Oct 2026 01:09:13 +0000 Subject: [PATCH 098/123] Log manifest source tables as MLflow inputs whatever the connector case Manifests record a source's connector as its source type ('S3', 'LOCAL_FILE', 'DATABRICKS'), but the MLflow adapter compared it with lowercase names ('s3', 'file', 'databricks'), so no fit run ever got dataset inputs. The adapter now upper-cases the connector once in _dataset_source and compares it with the source-type names the manifests write. Verified: a real fit over a FileConnector table logs the table as a local dataset input from the snapshot manifest (fails without the fix); MLflow tracking and tracking contract tests pass. Co-Authored-By: Claude Opus 5.5 --- .../kumo-engine/kumo/engine/integrations/mlflow.py | 7 ++++--- packages/kumo-engine/test/test_mlflow_tracking.py | 10 ++++++++-- packages/kumo-engine/test/test_tracking_contract.py | 6 +++--- 3 files changed, 15 insertions(+), 8 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/integrations/mlflow.py b/packages/kumo-engine/kumo/engine/integrations/mlflow.py index a3b29a2ba..f95aa7c6d 100644 --- a/packages/kumo-engine/kumo/engine/integrations/mlflow.py +++ b/packages/kumo-engine/kumo/engine/integrations/mlflow.py @@ -30,7 +30,7 @@ 'MLFLOW_HTTP_REQUEST_MAX_RETRIES': '2', 'MLFLOW_HTTP_REQUEST_TIMEOUT': '30', } -_PATH_CONNECTORS = ('file', 's3', 'gcs', 'adls') +_PATH_CONNECTORS = ('LOCAL_FILE', 'S3', 'GCS', 'ADLS') class MlflowTracking: @@ -216,10 +216,11 @@ def _log_metrics(self, run_id: Optional[str], def _dataset_source(entry: Mapping[str, Optional[str]]) -> Any: - connector, location = entry.get('connector'), entry.get('location') + connector = (entry.get('connector') or '').upper() + location = entry.get('location') if not location or location.startswith('sql:'): return None - if connector == 'databricks': + if connector == 'DATABRICKS': delta = import_provider('mlflow.data.delta_dataset_source', 'mlflow') return delta.DeltaDatasetSource( delta_table_name=_unquoted(location), diff --git a/packages/kumo-engine/test/test_mlflow_tracking.py b/packages/kumo-engine/test/test_mlflow_tracking.py index 5aa9b480e..5f6c92e26 100644 --- a/packages/kumo-engine/test/test_mlflow_tracking.py +++ b/packages/kumo-engine/test/test_mlflow_tracking.py @@ -68,7 +68,8 @@ def _runs(client): [e.experiment_id for e in client.search_experiments()]) -def test_fit_logs_a_run_per_fit_and_per_trial(table_and_snapshot, caplog): +def test_fit_logs_a_run_per_fit_and_per_trial(table_and_snapshot, tmp_path, + caplog): from kumo.engine.integrations.mlflow import MlflowTracking table, snapshot = table_and_snapshot @@ -118,6 +119,11 @@ def test_fit_logs_a_run_per_fit_and_per_trial(table_and_snapshot, caplog): } assert metrics == {**result.metrics, 'seconds': metrics['seconds']} assert 'off for the rest of this run' not in caplog.text + ents, = parent.inputs.dataset_inputs + assert (ents.dataset.name, ents.dataset.source_type) == ('ents', 'local') + assert json.loads(ents.dataset.source) == { + 'uri': str((tmp_path / 'data' / 'ents.parquet').resolve()) + } assert [run.info.run_name for run in children] == ['trial-1-attempt-1', 'trial-2-attempt-1'] @@ -267,7 +273,7 @@ def test_fit_inputs_come_from_the_manifests(tmp_path, caplog): table.mkdir() assert fit_inputs(snapshot, table) == {} - entry = {'connector': 'file', 'location': '/data/ents.parquet', + entry = {'connector': 'LOCAL_FILE', 'location': '/data/ents.parquet', 'version': '1790000000', 'version_kind': 'timestamp'} (snapshot / 'snapshot-manifest.json').write_text(json.dumps( {'parents': {'source_tables': {'ents': {**entry, 'extra': 1}}}})) diff --git a/packages/kumo-engine/test/test_tracking_contract.py b/packages/kumo-engine/test/test_tracking_contract.py index 40860298d..bdb3d14db 100644 --- a/packages/kumo-engine/test/test_tracking_contract.py +++ b/packages/kumo-engine/test/test_tracking_contract.py @@ -27,12 +27,12 @@ USER_TAGS = {'team': 'ents', 'kumo.run_id': 'overridden'} QUERY = 'PREDICT ents.Y FOR EACH ents.ID' INPUTS = { - 'ents': {'connector': 's3', 'location': 's3://bucket/ents.parquet', + 'ents': {'connector': 'S3', 'location': 's3://bucket/ents.parquet', 'version': '1790000000', 'version_kind': 'timestamp'}, - 'orders': {'connector': 'databricks', + 'orders': {'connector': 'DATABRICKS', 'location': '`main`.`sales`.`orders`', 'version': '7_1790000000', 'version_kind': 'exact'}, - 'users': {'connector': 'snowflake', 'location': '"DB"."SCH"."USERS"', + 'users': {'connector': 'SNOWFLAKE', 'location': '"DB"."SCH"."USERS"', 'version': '1790000000', 'version_kind': 'timestamp'}, } CONTEXT = FitContext( From c9ff49f848fd4c22327cbe0bd4df0a915e2650d7 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Thu, 22 Oct 2026 01:09:34 +0000 Subject: [PATCH 099/123] Require MLflow 3.13 in the mlflow extra DiskGraph pins pyarrow 24, and MLflow releases before 3.13 cap pyarrow below 24, so no older MLflow can be installed next to kumo-engine; the extra's 3.0 floor promised versions that cannot resolve. The mlflow extra, the dev/test pin in setup.py and uv.lock now say mlflow>=3.13,<4. Verified: uv lock --check resolves. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/pyproject.toml | 2 +- setup.py | 2 +- uv.lock | 6 +++--- 3 files changed, 5 insertions(+), 5 deletions(-) diff --git a/packages/kumo-engine/pyproject.toml b/packages/kumo-engine/pyproject.toml index 2dde89333..eb6effd9c 100644 --- a/packages/kumo-engine/pyproject.toml +++ b/packages/kumo-engine/pyproject.toml @@ -64,7 +64,7 @@ gcs=[ ] # nvidia-ml-py adds GPU system metrics. mlflow=[ - "mlflow>=3.0,<4", + "mlflow>=3.13,<4", "nvidia-ml-py", ] diff --git a/setup.py b/setup.py index 59551f8da..64108b9a0 100644 --- a/setup.py +++ b/setup.py @@ -294,7 +294,7 @@ def parse_project_version(project_file_path: Path) -> str: "pytorch-frame==0.3.0", "pytorch-lightning==2.6.5", # kumo-engine's `mlflow` extra; its wheel is tested with --no-deps. - "mlflow>=3.0,<4", + "mlflow>=3.13,<4", ] dev_requires = test_requires + [ diff --git a/uv.lock b/uv.lock index 8b8d8a7e1..4cd3b8523 100644 --- a/uv.lock +++ b/uv.lock @@ -3128,8 +3128,8 @@ requires-dist = [ { name = "markdown", marker = "extra == 'rest'", specifier = "==3.10" }, { name = "matplotlib", marker = "extra == 'drawing'", specifier = ">=3.10.5" }, { name = "matplotlib", marker = "extra == 'full'", specifier = ">=3.10.5" }, - { name = "mlflow", marker = "extra == 'dev'", specifier = ">=3.0,<4" }, - { name = "mlflow", marker = "extra == 'test'", specifier = ">=3.0,<4" }, + { name = "mlflow", marker = "extra == 'dev'", specifier = ">=3.13,<4" }, + { name = "mlflow", marker = "extra == 'test'", specifier = ">=3.13,<4" }, { name = "moto", marker = "extra == 'dev'", specifier = "==4.2.14" }, { name = "moto", marker = "extra == 'test'", specifier = "==4.2.14" }, { name = "mypy-boto3-s3", specifier = "==1.42.94" }, @@ -3524,7 +3524,7 @@ requires-dist = [ { name = "kumo-glove-6b-50d", marker = "extra == 'text'", editable = "tools/glove-6b-50d" }, { name = "kumo-s3", marker = "extra == 's3'", editable = "packages/kumo-s3" }, { name = "kumo-snowflake", extras = ["sdk"], marker = "extra == 'snowflake'", editable = "packages/kumo-snowflake" }, - { name = "mlflow", marker = "extra == 'mlflow'", specifier = ">=3.0,<4" }, + { name = "mlflow", marker = "extra == 'mlflow'", specifier = ">=3.13,<4" }, { name = "numpy", marker = "extra == 'test'", specifier = ">=1.26,<3" }, { name = "nvidia-ml-py", marker = "extra == 'mlflow'" }, { name = "pandas" }, From 5a78d42e711814e82431857158b7b85446bb554a Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Thu, 22 Oct 2026 01:11:10 +0000 Subject: [PATCH 100/123] Expose the fit run's id as MlflowTracking.run_id Job scripts read the tracker's run_id for their summary line, but MlflowTracking no longer set one, so scheduled fits reported run_id null. MlflowTracking.run_id is the MLflow id of the latest fit run, set when the run starts and kept after the fit returns. Verified: the real-fit MLflow test checks run_id equals the fit run's id; MLflow tracking, tracking contract and optional import tests pass. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/README.md | 1 + packages/kumo-engine/kumo/engine/integrations/mlflow.py | 6 +++++- packages/kumo-engine/test/test_mlflow_tracking.py | 7 ++++--- 3 files changed, 10 insertions(+), 4 deletions(-) diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index f89a0e61c..846644f0e 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -371,6 +371,7 @@ MLflow runs go to `MLFLOW_TRACKING_URI`: on Databricks this is automatic; for SageMaker managed MLflow set it to the tracking server ARN with the `sagemaker-mlflow` plugin installed. With nothing configured MLflow writes a local store in the working directory. Per-epoch metrics use step = epoch. +After the fit, `tracking.run_id` is the fit run's MLflow run id. The fit's source tables (from the snapshot manifest, plus a custom training table's source) are logged as MLflow run inputs: Databricks tables as Delta diff --git a/packages/kumo-engine/kumo/engine/integrations/mlflow.py b/packages/kumo-engine/kumo/engine/integrations/mlflow.py index f95aa7c6d..e799aa68f 100644 --- a/packages/kumo-engine/kumo/engine/integrations/mlflow.py +++ b/packages/kumo-engine/kumo/engine/integrations/mlflow.py @@ -48,6 +48,8 @@ class MlflowTracking: log_system_metrics: sample CPU, memory, disk, network and (with ``nvidia-ml-py``) GPU usage on the fit run. tags: extra tags for the fit run. + + ``run_id`` is the MLflow id of the latest fit run, once it has started. """ def __init__( @@ -63,6 +65,7 @@ def __init__( self.log_system_metrics = log_system_metrics self.tags = dict(tags or {}) self._outer: Optional[str] = None + self.run_id: Optional[str] = None self._reset() def _reset(self) -> None: @@ -79,6 +82,7 @@ def prepare(self) -> None: def start(self, record: RunRecord) -> None: self._reset() + self.run_id = None self._guard.enter_context(_limited_http()) try: autologging = import_provider('mlflow.utils.autologging_utils', @@ -106,7 +110,7 @@ def start(self, record: RunRecord) -> None: tags=record.tags, log_system_metrics=self.log_system_metrics, ) - self._parent = run.info.run_id + self._parent = self.run_id = run.info.run_id self._experiment_id = run.info.experiment_id self._log_params(self._parent, record.params) self._log_artifacts(record.artifacts) diff --git a/packages/kumo-engine/test/test_mlflow_tracking.py b/packages/kumo-engine/test/test_mlflow_tracking.py index 5f6c92e26..1056f99e1 100644 --- a/packages/kumo-engine/test/test_mlflow_tracking.py +++ b/packages/kumo-engine/test/test_mlflow_tracking.py @@ -86,9 +86,9 @@ def test_fit_logs_a_run_per_fit_and_per_trial(table_and_snapshot, tmp_path, mlflow.pytorch.autolog() try: with mlflow.start_run() as outer: - result = kumo.Trainer(plan).fit( - table, snapshot=snapshot, - tracking=MlflowTracking(experiment_name='ents')) + tracking = MlflowTracking(experiment_name='ents') + result = kumo.Trainer(plan).fit(table, snapshot=snapshot, + tracking=tracking) assert mlflow.active_run().info.run_id == outer.info.run_id assert autologging_utils._AUTOLOGGING_GLOBALLY_DISABLED is False finally: @@ -99,6 +99,7 @@ def test_fit_logs_a_run_per_fit_and_per_trial(table_and_snapshot, tmp_path, run for run in runs if run.data.tags.get('mlflow.parentRunId') == outer.info.run_id ] + assert tracking.run_id == parent.info.run_id children = sorted( (run for run in runs if run.data.tags.get('mlflow.parentRunId') == parent.info.run_id), From 6c1943caaf8c91ae0830437f7932c0eec3ce9258 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Thu, 22 Oct 2026 18:51:49 +0000 Subject: [PATCH 101/123] Read fit inputs through the manifest dataclasses fit_inputs parsed the snapshot and training-table manifest files by hand. It now reads them with read_manifest as SnapshotManifest and TrainingTableManifest, so an unreadable snapshot manifest no longer drops a custom training table's source. Verified with test_mlflow_tracking.py. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/kumo/engine/_tracking.py | 33 ++++++++++--------- .../kumo-engine/test/test_mlflow_tracking.py | 33 +++++++++++++++---- 2 files changed, 44 insertions(+), 22 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/_tracking.py b/packages/kumo-engine/kumo/engine/_tracking.py index 2685f6801..e62e273fa 100644 --- a/packages/kumo-engine/kumo/engine/_tracking.py +++ b/packages/kumo-engine/kumo/engine/_tracking.py @@ -78,18 +78,27 @@ def fit_inputs(snapshot_dir: Path, table_dir: Path) -> Dict[str, Dict[str, Optional[str]]]: r"""Source tables recorded in the snapshot's manifest, plus a custom training table's source, if those manifests exist.""" + from kumo.engine._manifest import ( + SnapshotManifest, + TrainingTableManifest, + read_manifest, + ) + from kumo.engine.graph import SNAPSHOT_MANIFEST_FILE + from kumo.engine.pquery.training_table import STAGING_MANIFEST_FILE + try: - tables = dict( - _parents(snapshot_dir / 'snapshot-manifest.json').get( - 'source_tables') or {}) - custom = _parents(table_dir / 'training-table-manifest.json').get( - 'source_table') - if custom: - tables['training_table'] = custom + snapshot = read_manifest(snapshot_dir / SNAPSHOT_MANIFEST_FILE, + SnapshotManifest) + table = read_manifest(table_dir / STAGING_MANIFEST_FILE, + TrainingTableManifest) + tables = {} if snapshot is None else dict( + snapshot.parents.source_tables) + if table is not None and table.parents.source_table is not None: + tables['training_table'] = table.parents.source_table return { - str(name): {key: _text(entry.get(key)) + str(name): {key: _text(getattr(entry, key)) for key in INPUT_FIELDS} - for name, entry in tables.items() if isinstance(entry, Mapping) + for name, entry in tables.items() } except Exception: logger.warning('Could not read the fit\'s source tables', @@ -97,12 +106,6 @@ def fit_inputs(snapshot_dir: Path, return {} -def _parents(path: Path) -> Mapping[str, Any]: - if not path.is_file(): - return {} - return json.loads(path.read_text(encoding='utf-8')).get('parents') or {} - - def _text(value: Any) -> Optional[str]: return None if value is None else str(value) diff --git a/packages/kumo-engine/test/test_mlflow_tracking.py b/packages/kumo-engine/test/test_mlflow_tracking.py index 1056f99e1..c55dd22d6 100644 --- a/packages/kumo-engine/test/test_mlflow_tracking.py +++ b/packages/kumo-engine/test/test_mlflow_tracking.py @@ -266,7 +266,16 @@ def test_source_tables_are_logged_as_native_inputs( assert mlflow.data.get_source(orders).delta_table_id == 'table-id' -def test_fit_inputs_come_from_the_manifests(tmp_path, caplog): +def test_fit_inputs_come_from_the_manifests(tmp_path): + from kumo.engine._manifest import ( + RECONSTRUCTED, + SnapshotManifest, + SnapshotParents, + SourceTableEntry, + TrainingTableManifest, + TrainingTableParents, + write_manifest, + ) from kumo.engine._tracking import fit_inputs snapshot, table = tmp_path / 'index', tmp_path / 'table' @@ -276,15 +285,25 @@ def test_fit_inputs_come_from_the_manifests(tmp_path, caplog): entry = {'connector': 'LOCAL_FILE', 'location': '/data/ents.parquet', 'version': '1790000000', 'version_kind': 'timestamp'} - (snapshot / 'snapshot-manifest.json').write_text(json.dumps( - {'parents': {'source_tables': {'ents': {**entry, 'extra': 1}}}})) - (table / 'training-table-manifest.json').write_text(json.dumps( - {'parents': {'source_table': {**entry, 'version': None}}})) + write_manifest( + snapshot / 'snapshot-manifest.json', + SnapshotManifest(id='s', parents=SnapshotParents(source_tables={ + 'ents': SourceTableEntry(**entry, sql='SELECT 1')}), + **RECONSTRUCTED)) + write_manifest( + table / 'training-table-manifest.json', + TrainingTableManifest( + id='t', parents=TrainingTableParents( + snapshot='s', + source_table=SourceTableEntry(**{**entry, 'version': None})), + query='q', generation_plan={}, task_type='x', split_seed=None, + **RECONSTRUCTED)) assert fit_inputs(snapshot, table) == { 'ents': entry, 'training_table': {**entry, 'version': None}, } (snapshot / 'snapshot-manifest.json').write_text('not json') - assert fit_inputs(snapshot, table) == {} - assert 'source tables' in caplog.text + with pytest.warns(UserWarning, match='unreadable manifest'): + assert fit_inputs(snapshot, table) == { + 'training_table': {**entry, 'version': None}} From b05926f2c8eaeacba93440a8ce9fb75484589bf2 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 22:26:00 +0000 Subject: [PATCH 102/123] Record Trainer.fit in Snowflake Experiment Tracking Rebuilt on the reworked tracking session (one tracker, no Capabilities, no per-trial Lightning logger); the earlier ten commits are squashed. SnowflakeTracking(session, experiment_name=...) logs the fit as one Snowflake run: model-plan params, kumo.* tags as params, trial attempts as trial--attempt-/ params and per-epoch metrics, final metrics, query.pql / model_plan.json / provenance.json artifacts, and FAILED on a failed fit. A taken run_name gets a suffix instead of resuming a run; an ExperimentTracking already in use in the process is left alone; native_model_lineage keeps the run open as a lineage context. Review changes: the adapter no longer runs ALTER SESSION on the user's Snowpark session (snowflake-ml-python takes no per-statement parameters, and a stuck call already cannot hold the fit past the 30 s drain), and snowflake-ml-python is capped below 3 because the adapter reads ExperimentTracking internals (checked present in 2.0.0 and 2.6.0). Verified with test_snowflake_tracking (incl. no statements issued on the session), test_tracking_contract for MLflow and Snowflake, test_mlflow_tracking and test_optional_imports; uv lock --check passes. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/README.md | 24 +- .../kumo/engine/integrations/snowflake.py | 245 ++++++++++++++++++ .../kumo/engine/trainer/trainer.py | 5 +- .../test/_snowflake_experiment_fake.py | 192 ++++++++++++++ .../kumo-engine/test/test_optional_imports.py | 8 + .../test/test_snowflake_tracking.py | 214 +++++++++++++++ .../test/test_tracking_contract.py | 45 +++- packages/kumo-snowflake/pyproject.toml | 8 +- uv.lock | 2 +- 9 files changed, 734 insertions(+), 9 deletions(-) create mode 100644 packages/kumo-engine/kumo/engine/integrations/snowflake.py create mode 100644 packages/kumo-engine/test/_snowflake_experiment_fake.py create mode 100644 packages/kumo-engine/test/test_snowflake_tracking.py diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index 846644f0e..62f030eec 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -352,8 +352,8 @@ they do not derive them from entity, target, and timestamp columns. ## Experiment tracking `fit(tracking=...)` records a fit in an experiment tracker: one run per fit, -one run per hyperparameter-search trial attempt. It is opt-in; tracking errors -are logged as warnings and never fail the fit. Only global rank 0 tracks. +with each hyperparameter-search trial attempt as a child run (MLflow) or +inside the fit run (Snowflake). It is opt-in; tracking errors are logged as warnings and never fail the fit. Only global rank 0 tracks. Tracker calls run on a background thread, so a slow or unreachable tracking server does not hold up training: at the end of the fit, `fit` waits at most 30 s for tracking to finish (the rest continues in the background). During @@ -380,6 +380,26 @@ model registered from the run in a Databricks notebook or job; file and object-store sources by URI. Other warehouse tables and Custom SQL sources are not logged as inputs; they stay in the bundle's `provenance.json`. +Snowflake records the fit in Snowflake Experiment Tracking (Snowsight: AI & ML +» Experiments), using a Snowpark session: + +```python +from kumo.engine.integrations.snowflake import SnowflakeTracking # kumo-engine[snowflake] + +result = trainer.fit(training_table, snapshot=snapshot, + tracking=SnowflakeTracking(session, experiment_name="users_spend")) +``` + +Snowflake has no child runs or tags, so trial attempts are logged in the fit +run as `trial-1-attempt-1/` params and metrics, and tags are params of +the same name. `native_model_lineage=True` links a model the fit publishes +through Snowflake lineage. Names beyond Snowflake's 200 metrics and 1000 params +per run are counted in `kumo.dropped_metrics` / `kumo.dropped_params`. If a +Snowflake run is already active in the process, the fit is not tracked there; +an existing run is never resumed (a taken `run_name` gets a suffix). Snowflake +Experiment Tracking has no dataset inputs, so source tables are not recorded +there. The Snowpark session's parameters are left as they are. + Other systems plug in through the `kumo.engine.tracking.Tracking` protocol, which receives ready-built `RunRecord`s so every tracker records the same names: `start(record)` with the fit run, `on_trial(record, event)` with a trial diff --git a/packages/kumo-engine/kumo/engine/integrations/snowflake.py b/packages/kumo-engine/kumo/engine/integrations/snowflake.py new file mode 100644 index 000000000..1693c8780 --- /dev/null +++ b/packages/kumo-engine/kumo/engine/integrations/snowflake.py @@ -0,0 +1,245 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. +# All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +r"""Snowflake Experiment Tracking for `Trainer.fit` +(``pip install 'kumo-engine[snowflake]'``).""" + +import logging +import re +import tempfile +from contextlib import ExitStack +from pathlib import Path +from typing import Any, Dict, List, Mapping, Optional, Set, Tuple + +from kumo_core.sources.sql import resolve_snowflake_identifier + +from kumo.engine._events import Event +from kumo.engine._tracking import DROPPED_METRICS, DROPPED_PARAMS, RunRecord +from kumo.engine.connector._extras import import_provider + +logger = logging.getLogger(__name__) + +_MAX_METRICS = 200 +_MAX_PARAMS = 1000 +# Metric name budgets: per-epoch metrics give way first, then trial summaries. +_EPOCH_METRICS = _MAX_METRICS - 60 +_SUMMARY_METRICS = _MAX_METRICS - 30 +_FINISH_PARAMS = 20 + + +class SnowflakeTracking: + r"""Records `Trainer.fit` in Snowflake Experiment Tracking as one run; + trial attempts are logged in it under ``trial--attempt-/`` names and + tags are logged as params. Snowflake has no dataset inputs, so a fit's + source tables are not recorded as inputs. The Snowpark session's + parameters are not changed. + + Args: + session: Snowpark session; needs CREATE EXPERIMENT on the schema, or + MODIFY on an existing experiment. + experiment_name: experiment for the fit run, created if missing. + database: `None` uses the session's current database. + schema: `None` uses the session's current schema, or ``PUBLIC`` when + `database` is given or the session has none. + run_name: name of the fit run. `None` lets Snowflake pick one; a + taken name gets a suffix from the kumo run id. + tags: extra tags for the fit run. + native_model_lineage: keep the run open as a context for the whole + fit, so models registered meanwhile are linked to it. + """ + + def __init__( + self, + session: Any, + *, + experiment_name: str, + database: Optional[str] = None, + schema: Optional[str] = None, + run_name: Optional[str] = None, + tags: Optional[Mapping[str, str]] = None, + native_model_lineage: bool = False, + ) -> None: + self._module = import_provider('snowflake.ml.experiment', 'snowflake') + self.session = session + self.experiment_name = experiment_name + self.database = database + self.schema = schema + self.run_name = run_name + self.tags = dict(tags or {}) + self.native_model_lineage = native_model_lineage + self._reset() + + def _reset(self) -> None: + self._tracking: Any = None + self._run: Any = None + self._run_context = ExitStack() + self._trial_tags: Dict[Tuple[int, int], Set[str]] = {} + self._metrics: Set[str] = set() + self._params = 0 + self._start_tags: Set[str] = set() + self._artifacts: Set[str] = set() + self._dropped_metrics: Set[str] = set() + self._dropped_params = 0 + + def start(self, record: RunRecord) -> None: + self._reset() + cls = self._module.ExperimentTracking + tracking = getattr(cls, '_instance', None) + if tracking is None: + tracking = cls(self.session) + elif (not hasattr(tracking, '_run') or tracking._run is not None + or getattr(tracking, '_session', None) is not self.session): + logger.warning('Snowflake ExperimentTracking is in use in this ' + 'process; this fit is not tracked in Snowflake') + return + self._tracking = tracking + database = self.database or self.session.get_current_database() + schema = self.schema or (None if self.database else + self.session.get_current_schema()) + experiment = tracking.set_experiment(self.experiment_name, + database_name=database, + schema_name=schema or 'PUBLIC') + self._run = tracking.start_run( + self._new_run_name(tracking, experiment.name, + record.tags['kumo.run_id'])) + if self.native_model_lineage: + self._run_context.enter_context(self._run) + self._start_tags = set(record.tags) + self._log_params({**record.params, **record.tags}) + self._log_artifacts(record.artifacts) + + def on_trial(self, record: RunRecord, event: Event) -> None: + if self._run is None: + return + prefix = f'{record.name}/' + key = (event.trial or 0, int(event.params['attempt'])) + if event.name == 'trial_started': + self._trial_tags[key] = set(record.tags) + self._log_params({prefix + k: v + for k, v in {**record.params, + **record.tags}.items()}) + elif event.name == 'epoch_ended': + self._log_metrics({prefix + k: v + for k, v in event.metrics.items()}, + _EPOCH_METRICS, step=event.epoch or 0) + elif event.name == 'trial_ended': + self._log_metrics({prefix + k: v + for k, v in record.metrics.items()}, + _SUMMARY_METRICS) + logged = self._trial_tags.pop(key, set()) + self._log_params({prefix + k: v + for k, v in record.tags.items() + if k not in logged}) + + def finish(self, record: Optional[RunRecord], + error: Optional[BaseException]) -> None: + status = 'FAILED' + try: + if self._run is not None and record is not None: + self._log_metrics(record.metrics, _MAX_METRICS) + self._log_params({k: v + for k, v in record.tags.items() + if k not in self._start_tags}, _MAX_PARAMS) + self._log_artifacts(record.artifacts) + self._log_dropped() + if error is None: + status = 'FINISHED' + finally: + try: + if self._run is not None: + self._tracking.end_run(status=status) + except Exception: + logger.warning('Could not end the Snowflake run %s', status, + exc_info=True) + finally: + self._run_context.close() + self._reset() + + def _new_run_name(self, tracking: Any, experiment: Any, + run_id: str) -> Optional[str]: + if self.run_name is None: + return None + # start_run(name) resumes, or raises on, any run matching name as a + # SQL LIKE pattern and cannot create an existing run, so pick a name + # that is neither. + existing = [ + str(row['name']) + for row in tracking._sql_client.show_runs_in_experiment( + experiment_name=experiment) + ] + short = run_id.rsplit('-', 1)[-1] + for name in (self.run_name, _suffixed(self.run_name, short[:8]), + _suffixed(self.run_name, short)): + if not _taken(name, existing): + break + else: + name = None + if name != self.run_name: + logger.warning( + 'Snowflake run %s already exists in experiment %s; recording ' + 'this fit as %s', self.run_name, self.experiment_name, + name or 'a generated run name') + return name + + def _log_artifacts(self, artifacts: Mapping[str, str]) -> None: + with tempfile.TemporaryDirectory() as directory: + for name, text in artifacts.items(): + if name in self._artifacts: + continue + path = Path(directory) / name + path.write_text(text, encoding='utf-8') + self._tracking.log_artifact(str(path)) + self._artifacts.add(name) + + def _log_dropped(self) -> None: + dropped = { + DROPPED_METRICS: len(self._dropped_metrics), + DROPPED_PARAMS: self._dropped_params, + } + dropped = {name: count for name, count in dropped.items() if count} + if dropped: + self._tracking.log_params(dropped) + + def _log_params(self, params: Mapping[str, str], + limit: int = _MAX_PARAMS - _FINISH_PARAMS) -> None: + kept = {} + for name, value in params.items(): + if '$$' in name or '$$' in value or self._params >= limit: + self._dropped_params += 1 + else: + kept[name] = value + self._params += 1 + if kept: + self._tracking.log_params(kept) + + def _log_metrics(self, metrics: Mapping[str, float], limit: int, + step: int = 0) -> None: + kept = {} + for name, value in metrics.items(): + if '$$' in name: + self._dropped_metrics.add(name) + continue + if name not in self._metrics: + if len(self._metrics) >= limit: + self._dropped_metrics.add(name) + continue + self._metrics.add(name) + kept[name] = value + if kept: + self._tracking.log_metrics(kept, step=step) + + +def _suffixed(name: str, suffix: str) -> str: + if len(name) > 1 and name[0] == name[-1] == '"': + return f'{name[:-1]}_{suffix}"' + return f'{name}_{suffix}' + + +def _taken(name: str, existing: List[str]) -> bool: + resolved = resolve_snowflake_identifier(name) + regex = ''.join('.*' if c == '%' else '.' if c == '_' else re.escape(c) + for c in name) + return any( + other == resolved + or re.fullmatch(regex, other, re.IGNORECASE | re.DOTALL) is not None + for other in existing) diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index 8ccb54149..cc1ad3e0b 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -327,8 +327,9 @@ def fit( callbacks: called with each progress `Event`; a callback that raises is logged and not called again. tracking: a `kumo.engine.tracking.Tracking`, e.g. - `kumo.engine.integrations.mlflow.MlflowTracking`; tracking - errors are logged, never raised. + `kumo.engine.integrations.mlflow.MlflowTracking` or + `kumo.engine.integrations.snowflake.SnowflakeTracking`; + tracking errors are logged, never raised. """ if export_config is not None and not callable( getattr(export_config.connector.sink_backend, 'publish_model', diff --git a/packages/kumo-engine/test/_snowflake_experiment_fake.py b/packages/kumo-engine/test/_snowflake_experiment_fake.py new file mode 100644 index 000000000..27b1cc778 --- /dev/null +++ b/packages/kumo-engine/test/_snowflake_experiment_fake.py @@ -0,0 +1,192 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. +# All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +"""A recording stand-in for `snowflake.ml.experiment.ExperimentTracking` that +keeps its observable rules (singleton, one active run, LIKE-matched resume).""" + +import os +import re +import sys +import types +from typing import Any, Dict, List, Optional, Tuple + +from kumo_core.sources.sql import resolve_snowflake_identifier as _identifier + +STATUSES = ('FAILED', 'FINISHED') + + +def _like(pattern: str, name: str) -> bool: + regex = ''.join('.*' if c == '%' else '.' if c == '_' else re.escape(c) + for c in pattern) + return re.fullmatch(regex, name, re.IGNORECASE | re.DOTALL) is not None + + +class FakeRun: + def __init__(self, tracking: 'FakeExperimentTracking', experiment: str, + name: str) -> None: + self._tracking = tracking + self.experiment_name = experiment + self.name = name + + def __enter__(self) -> 'FakeRun': + self._tracking.calls.append(('run.__enter__', self.name)) + self._tracking.lineage_stack.append((self.experiment_name, self.name)) + return self + + def __exit__(self, exc_type: Any, exc: Any, tb: Any) -> None: + self._tracking.calls.append(('run.__exit__', self.name)) + self._tracking.lineage_stack.pop() + if self._tracking._run is self: + self._tracking.end_run( + status='FAILED' if exc_type is not None else None) + + +class FakeExperimentTracking: + _instance: Optional['FakeExperimentTracking'] = None + + def __new__(cls, *args: Any, **kwargs: Any) -> 'FakeExperimentTracking': + if cls._instance is None: + cls._instance = super().__new__(cls) + return cls._instance + + def __init__(self, session: Any, *, database_name: Optional[str] = None, + schema_name: Optional[str] = None, + capture_source_info: bool = True, model_registry: Any = None, + warnings_as_errors: bool = False) -> None: + self.capture_source_info = capture_source_info + self.warnings_as_errors = warnings_as_errors + if hasattr(self, '_initialized'): + self.calls.append(('__init__', database_name, schema_name)) + return + self._session = session + self.database = _identifier(database_name + or session.get_current_database()) + self.schema = _identifier(schema_name or session.get_current_schema() + or 'PUBLIC') + self.calls: List[Tuple[Any, ...]] = [('__init__', database_name, + schema_name)] + self.fail_on: set = set() + self.experiment: Optional[str] = None + self._run: Optional[FakeRun] = None + self.runs: Dict[str, Dict[str, Any]] = {} + self.lineage_stack: List[Tuple[str, str]] = [] + self._sql_client = types.SimpleNamespace( + show_runs_in_experiment=self._show_runs) + self._initialized = True + + def _show_runs(self, *, experiment_name: str, + like: Optional[str] = None) -> List[Dict[str, Any]]: + self._record('show_runs', experiment_name, like) + return self._matching(experiment_name, like) + + def _matching(self, experiment: str, + like: Optional[str]) -> List[Dict[str, Any]]: + return [{'name': name} for name, run in self.runs.items() + if run['experiment'] == experiment + and (like is None or _like(like, name))] + + def _record(self, *call: Any) -> None: + self.calls.append(call) + if call[0] in self.fail_on: + raise RuntimeError(f'fake Snowflake error in {call[0]}') + + def set_experiment(self, experiment_name: str, + database_name: Optional[str] = None, + schema_name: Optional[str] = None) -> Any: + self._record('set_experiment', experiment_name, database_name, + schema_name) + if database_name is not None and schema_name is None: + schema_name = 'PUBLIC' + location = (_identifier(database_name or self.database), + _identifier(schema_name or self.schema)) + name = _identifier(experiment_name) + if (name, *location) != (self.experiment, self.database, self.schema): + self._run = None + self.experiment = name + self.database, self.schema = location + return types.SimpleNamespace(name=name) + + def start_run(self, run_name: Optional[str] = None) -> FakeRun: + self._record('start_run', run_name) + if self._run is not None: + raise RuntimeError('A run is already active. Please end the ' + 'current run before starting a new one.') + if self.experiment is None: + self.experiment = 'DEFAULT' + matches = self._matching(self.experiment, + run_name) if run_name else [] + if matches: + name = matches[0]['name'] + if self.runs[name]['status'] != 'RUNNING': + raise RuntimeError(f'Run {run_name} exists but cannot be ' + f'resumed as it is no longer running.') + else: + name = _identifier(run_name or f'RUN_{len(self.runs) + 1}') + self.runs[name] = {'experiment': self.experiment, + 'status': 'RUNNING', 'params': {}, + 'metrics': [], 'artifacts': {}} + self._run = FakeRun(self, self.experiment, name) + return self._run + + def end_run(self, run_name: Optional[str] = None, + status: Optional[str] = None) -> None: + self._record('end_run', run_name, status) + if self.experiment is None: + raise RuntimeError('No experiment set.') + if self._run is None: + raise RuntimeError('No run is active.') + if status is not None and status not in STATUSES: + raise ValueError(f"Unsupported status value: '{status}'.") + self.runs[self._run.name]['status'] = status or 'FINISHED' + self._run = None + + def _active(self) -> Dict[str, Any]: + if self._run is None: + self.start_run() + return self.runs[self._run.name] + + def log_params(self, params: Dict[str, Any]) -> None: + self._record('log_params', dict(params)) + self._active()['params'].update( + {key: str(value) for key, value in params.items()}) + + def log_metrics(self, metrics: Dict[str, float], step: int = 0) -> None: + self._record('log_metrics', dict(metrics), step) + self._active()['metrics'].extend( + (key, float(value), step) for key, value in metrics.items()) + + def log_artifact(self, local_path: str, + artifact_path: Optional[str] = None) -> None: + self._record('log_artifact', local_path, artifact_path) + with open(local_path, encoding='utf-8') as file: + self._active()['artifacts'][os.path.basename(local_path)] = ( + file.read()) + + +class FakeSession: + def __init__(self, database: Optional[str] = 'DB', + schema: Optional[str] = 'PUBLIC') -> None: + self.database, self.schema = database, schema + self.statements: List[str] = [] + + def sql(self, query: str) -> Any: + self.statements.append(query) + return types.SimpleNamespace(collect=lambda: []) + + def get_current_database(self) -> Optional[str]: + return self.database + + def get_current_schema(self) -> Optional[str]: + return self.schema + + +def install(monkeypatch: Any) -> type: + """Makes `import snowflake.ml.experiment` return a fresh fake.""" + FakeExperimentTracking._instance = None + module = types.ModuleType('snowflake.ml.experiment') + module.ExperimentTracking = FakeExperimentTracking + for name in ('snowflake', 'snowflake.ml'): + if name not in sys.modules: + monkeypatch.setitem(sys.modules, name, types.ModuleType(name)) + monkeypatch.setitem(sys.modules, 'snowflake.ml.experiment', module) + return FakeExperimentTracking diff --git a/packages/kumo-engine/test/test_optional_imports.py b/packages/kumo-engine/test/test_optional_imports.py index f9ee60309..c18d0310d 100644 --- a/packages/kumo-engine/test/test_optional_imports.py +++ b/packages/kumo-engine/test/test_optional_imports.py @@ -123,6 +123,14 @@ def find_spec(self, name, path=None, target=None): assert "kumo-engine[mlflow]" in str(e), e else: raise AssertionError("MlflowTracking() needs mlflow") + + from kumo.engine.integrations.snowflake import SnowflakeTracking + try: + SnowflakeTracking(None, experiment_name="ents") + except ImportError as e: + assert "kumo-engine[snowflake]" in str(e), e + else: + raise AssertionError("SnowflakeTracking() needs snowflake-ml-python") print("ok") ''') diff --git a/packages/kumo-engine/test/test_snowflake_tracking.py b/packages/kumo-engine/test/test_snowflake_tracking.py new file mode 100644 index 000000000..699043028 --- /dev/null +++ b/packages/kumo-engine/test/test_snowflake_tracking.py @@ -0,0 +1,214 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. +# All rights reserved. +# SPDX-License-Identifier: Apache-2.0 + +import inspect +import threading +import time +from unittest import mock + +import _snowflake_experiment_fake +import pytest +from _snowflake_experiment_fake import FakeExperimentTracking, FakeSession +from test_tracking_contract import ( + CONTEXT, + EVENTS, + RESULT, + join_tracking_threads, +) + +from kumo.engine._tracking import TrackingSession + +FAKED = ('__init__', 'set_experiment', 'start_run', 'end_run', 'log_params', + 'log_metrics', 'log_artifact') + + +@pytest.mark.parametrize('method', FAKED) +def test_fake_matches_installed_experiment_tracking(method): + experiment = pytest.importorskip('snowflake.ml.experiment') + real = inspect.signature(getattr(experiment.ExperimentTracking, method)) + fake = inspect.signature(getattr(FakeExperimentTracking, method)) + assert [(p.name, p.kind, p.default) for p in fake.parameters.values() + ] == [(p.name, p.kind, p.default) for p in real.parameters.values()] + + +def test_installed_singleton_exposes_what_the_adapter_reads(monkeypatch): + experiment = pytest.importorskip('snowflake.ml.experiment') + cls = experiment.ExperimentTracking + monkeypatch.setattr(cls, '_instance', None) + session = mock.MagicMock() + session.get_current_database.return_value = 'DB' + session.get_current_schema.return_value = 'PUBLIC' + + tracking = cls(session) + + assert cls(mock.MagicMock()) is tracking + assert tracking._run is None + assert tracking._session is session + assert 'experiment_name' in inspect.signature( + tracking._sql_client.show_runs_in_experiment).parameters + + +@pytest.fixture +def fake(monkeypatch): + return _snowflake_experiment_fake.install(monkeypatch) + + +def _tracking(session=None, **kwargs): + from kumo.engine.integrations.snowflake import SnowflakeTracking + return SnowflakeTracking(session or FakeSession(), experiment_name='ents', + **kwargs) + + +def _replay(tracking, result=RESULT, error=None, during=None): + session = TrackingSession(tracking) + session.start(lambda: CONTEXT) + for event in EVENTS: + session.on_event(event) + if during is not None: + caught_up = threading.Event() + session._submit(caught_up.set) + caught_up.wait(30) + during() + session.finish(result, error) + + +def test_native_model_lineage_holds_the_run_open_during_the_fit(fake): + lineage = [] + _replay( + _tracking(database='ml', schema='runs', run_name='fit', + native_model_lineage=True), + during=lambda: lineage.extend(fake._instance.lineage_stack)) + + assert lineage == [('ENTS', 'FIT')] + assert fake._instance.lineage_stack == [] + assert fake._instance.calls[1] == ('set_experiment', 'ents', 'ml', 'runs') + + +def test_snowflake_errors_warn_once_and_end_the_run_failed(fake, caplog): + session = FakeSession() + fake(session).fail_on = {'log_metrics'} + + _replay(_tracking(session)) + + tracking = fake._instance + assert caplog.text.count('off for the rest of this run') == 1 + run, = tracking.runs.values() + assert run['status'] == 'FAILED' + assert tracking._run is None + + +def test_failed_fit_ends_the_run_failed(fake): + _replay(_tracking(), None, ValueError('stop')) + + run, = fake._instance.runs.values() + assert run['status'] == 'FAILED' + + +@pytest.mark.parametrize('busy', ['active run', 'other session']) +def test_an_instance_in_use_is_left_alone(fake, busy, caplog): + session = FakeSession() + user = fake(session, warnings_as_errors=True) + user.set_experiment('mine') + if busy == 'active run': + user.start_run('mine_1') + else: + session = FakeSession() + calls = len(user.calls) + + _replay(_tracking(session)) + + assert user.calls[calls:] == [] + assert user.warnings_as_errors is True + assert caplog.text.count('not tracked in Snowflake') == 1 + + +def test_location_defaults_to_the_session_not_the_last_fit(fake): + session = FakeSession(database='DEV', schema='WORK') + _replay(_tracking(session, database='ml')) + _replay(_tracking(session)) + + assert [ + call[1:] for call in fake._instance.calls if call[0] == 'set_experiment' + ] == [('ents', 'ml', 'PUBLIC'), ('ents', 'DEV', 'WORK')] + assert not any(call[0].startswith('run.') for call in fake._instance.calls) + + +@pytest.mark.parametrize('taken', ['FIT', 'MYXRUN']) +def test_an_existing_run_is_never_resumed(fake, taken, caplog): + session = FakeSession() + user = fake(session) + user.set_experiment('ents') + user.start_run(taken) + if taken == 'FIT': + user.end_run() + else: + user._run = None # still running, in another process + run_name = 'fit' if taken == 'FIT' else 'my_run' + + _replay(_tracking(session, run_name=run_name)) + + new = f"{run_name}_{CONTEXT.run_id.rsplit('-', 1)[-1][:8]}".upper() + assert set(user.runs) == {taken, new} + assert user.runs[taken]['params'] == {} + assert user.runs[new]['status'] == 'FINISHED' + assert 'recording this fit as' in caplog.text + + +def test_metric_and_param_limits(fake, monkeypatch): + import kumo.engine.integrations.snowflake as snowflake + + monkeypatch.setattr(snowflake, '_EPOCH_METRICS', 2) + monkeypatch.setattr(snowflake, '_SUMMARY_METRICS', 3) + monkeypatch.setattr(snowflake, '_MAX_METRICS', 5) + result = type(RESULT)(metrics={**RESULT.metrics, 'r2': float('nan')}, + bundle_dir=RESULT.bundle_dir) + _replay(_tracking(tags={'note': 'a$$b', 'level': 2}), result) + + run, = fake._instance.runs.values() + assert sorted({name for name, _, _ in run['metrics']}) == [ + 'test_mae', 'trial-1-attempt-1/best_val_mae', + 'trial-1-attempt-1/train_loss', 'trial-1-attempt-1/val_mae', 'val_mae' + ] + assert run['params']['kumo.dropped_metrics'] == '6' + assert run['params']['kumo.dropped_params'] == '1' + assert 'note' not in run['params'] + assert run['params']['level'] == '2' + + +def test_quoted_run_names_are_taken_only_by_their_exact_name(): + from kumo.engine.integrations.snowflake import _taken + + assert _taken('"MyRun"', ['MyRun']) + assert not _taken('"MyRun"', ['MYRUN']) + assert _taken('my_run', ['MYXRUN']) + + +def test_the_users_session_is_not_altered(fake): + session = FakeSession() + + _replay(_tracking(session)) + + assert session.statements == [] + + +def test_a_hung_snowflake_call_does_not_stall_the_fit(fake, monkeypatch, + caplog): + import kumo.engine._tracking as tracking + + monkeypatch.setattr(tracking, 'FINISH_SECONDS', 0.5) + release = threading.Event() + monkeypatch.setattr(FakeExperimentTracking, 'log_metrics', + lambda *args, **kwargs: release.wait(30)) + began = time.monotonic() + try: + _replay(_tracking()) + elapsed = time.monotonic() - began + finally: + release.set() + join_tracking_threads() + + assert elapsed < 1.5 + assert 'did not finish within' in caplog.text + run, = fake._instance.runs.values() + assert run['status'] == 'FINISHED' diff --git a/packages/kumo-engine/test/test_tracking_contract.py b/packages/kumo-engine/test/test_tracking_contract.py index bdb3d14db..5d04e8c2f 100644 --- a/packages/kumo-engine/test/test_tracking_contract.py +++ b/packages/kumo-engine/test/test_tracking_contract.py @@ -241,7 +241,50 @@ def history(run_id, key): mlflow.set_tracking_uri(previous) -@pytest.fixture(params=['mlflow']) +@pytest.fixture +def snowflake_adapter(monkeypatch): + import _snowflake_experiment_fake + + fake = _snowflake_experiment_fake.install(monkeypatch) + from kumo.engine.integrations.snowflake import SnowflakeTracking + + def observe(): + observed = {} + for run in fake._instance.runs.values(): + names: Dict[Optional[str], Dict[str, Dict[str, Any]]] = {} + + def bucket(key): + prefix, _, name = key.rpartition('/') + return names.setdefault(prefix or None, { + 'params': {}, 'tags': {}, 'metrics': {}, 'steps': {} + }), name + + for key, value in run['params'].items(): + runs, name = bucket(key) + # Snowflake has no tags: they are params of the same name. + if name.startswith('kumo.') or name in USER_TAGS: + runs['tags'][name] = value + else: + runs['params'][name] = value + for key, value, step in run['metrics']: + runs, name = bucket(key) + runs['metrics'][name] = value + runs['steps'][name] = (*runs['steps'].get(name, ()), + (step, value)) + for prefix, runs in names.items(): + observed[runs['tags']['kumo.run_id']] = Observed( + name=prefix, + artifacts=run['artifacts'] if prefix is None else {}, + **runs) + return observed + + return Adapter( + make=lambda: SnowflakeTracking(_snowflake_experiment_fake.FakeSession(), + experiment_name='ents', tags=USER_TAGS), + observe=observe, step_metrics=True, artifacts=True) + + +@pytest.fixture(params=['mlflow', 'snowflake']) def adapter(request) -> Adapter: return request.getfixturevalue(f'{request.param}_adapter') diff --git a/packages/kumo-snowflake/pyproject.toml b/packages/kumo-snowflake/pyproject.toml index 960687071..47547c8b9 100644 --- a/packages/kumo-snowflake/pyproject.toml +++ b/packages/kumo-snowflake/pyproject.toml @@ -27,13 +27,15 @@ dependencies = [ [project.optional-dependencies] # What the SDK plugin half needs beyond the platform reader: Snowpark for the -# session it opens, the model registry for what a sink publishes, and pyyaml -# for the manifest that carries. The platform installs this distribution +# session it opens, the model registry for what a sink publishes (and, from +# 2.0, the experiment tracking kumo-engine records fits in; capped below 3 +# because that adapter reads ExperimentTracking internals), and pyyaml for the +# manifest that carries. The platform installs this distribution # without this extra and imports `SnowflakeSourceReader` alone, so none of it # is loaded there -- `__init__` exports the plugin lazily to keep that true. sdk = [ "snowflake-snowpark-python", - "snowflake-ml-python", + "snowflake-ml-python>=2.0,<3", "pyyaml", ] test = [ diff --git a/uv.lock b/uv.lock index 4cd3b8523..318cf7d63 100644 --- a/uv.lock +++ b/uv.lock @@ -3681,7 +3681,7 @@ requires-dist = [ { name = "pyyaml", marker = "extra == 'sdk'" }, { name = "requests", specifier = ">=2.31" }, { name = "snowflake-connector-python", specifier = ">=4.3" }, - { name = "snowflake-ml-python", marker = "extra == 'sdk'" }, + { name = "snowflake-ml-python", marker = "extra == 'sdk'", specifier = ">=2.0,<3" }, { name = "snowflake-snowpark-python", marker = "extra == 'sdk'" }, ] provides-extras = ["sdk", "test"] From f5eb73f38075cf43148057fd118a61d59c121f69 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Thu, 22 Oct 2026 01:12:17 +0000 Subject: [PATCH 103/123] Expose the fit run's name as SnowflakeTracking.run_id Job scripts read the tracker's run_id for their summary line, but SnowflakeTracking had none, so scheduled fits reported run_id null. SnowflakeTracking.run_id is the latest fit run's name (Snowflake identifies runs by name), set when the run starts and kept after the fit returns. Verified: test_snowflake_tracking checks run_id is the (suffixed) run name; 20 passed. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/README.md | 3 ++- packages/kumo-engine/kumo/engine/integrations/snowflake.py | 6 ++++++ packages/kumo-engine/test/test_snowflake_tracking.py | 4 +++- 3 files changed, 11 insertions(+), 2 deletions(-) diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index 62f030eec..b3832309a 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -398,7 +398,8 @@ per run are counted in `kumo.dropped_metrics` / `kumo.dropped_params`. If a Snowflake run is already active in the process, the fit is not tracked there; an existing run is never resumed (a taken `run_name` gets a suffix). Snowflake Experiment Tracking has no dataset inputs, so source tables are not recorded -there. The Snowpark session's parameters are left as they are. +there. The Snowpark session's parameters are left as they are. After the fit, +`tracking.run_id` is the fit run's name. Other systems plug in through the `kumo.engine.tracking.Tracking` protocol, which receives ready-built `RunRecord`s so every tracker records the same diff --git a/packages/kumo-engine/kumo/engine/integrations/snowflake.py b/packages/kumo-engine/kumo/engine/integrations/snowflake.py index 1693c8780..4d78d5b56 100644 --- a/packages/kumo-engine/kumo/engine/integrations/snowflake.py +++ b/packages/kumo-engine/kumo/engine/integrations/snowflake.py @@ -46,6 +46,9 @@ class SnowflakeTracking: tags: extra tags for the fit run. native_model_lineage: keep the run open as a context for the whole fit, so models registered meanwhile are linked to it. + + ``run_id`` is the latest fit run's name (Snowflake runs are identified + by name), once it has started. """ def __init__( @@ -67,6 +70,7 @@ def __init__( self.run_name = run_name self.tags = dict(tags or {}) self.native_model_lineage = native_model_lineage + self.run_id: Optional[str] = None self._reset() def _reset(self) -> None: @@ -83,6 +87,7 @@ def _reset(self) -> None: def start(self, record: RunRecord) -> None: self._reset() + self.run_id = None cls = self._module.ExperimentTracking tracking = getattr(cls, '_instance', None) if tracking is None: @@ -102,6 +107,7 @@ def start(self, record: RunRecord) -> None: self._run = tracking.start_run( self._new_run_name(tracking, experiment.name, record.tags['kumo.run_id'])) + self.run_id = str(self._run.name) if self.native_model_lineage: self._run_context.enter_context(self._run) self._start_tags = set(record.tags) diff --git a/packages/kumo-engine/test/test_snowflake_tracking.py b/packages/kumo-engine/test/test_snowflake_tracking.py index 699043028..7eaf66e5e 100644 --- a/packages/kumo-engine/test/test_snowflake_tracking.py +++ b/packages/kumo-engine/test/test_snowflake_tracking.py @@ -146,9 +146,11 @@ def test_an_existing_run_is_never_resumed(fake, taken, caplog): user._run = None # still running, in another process run_name = 'fit' if taken == 'FIT' else 'my_run' - _replay(_tracking(session, run_name=run_name)) + tracking = _tracking(session, run_name=run_name) + _replay(tracking) new = f"{run_name}_{CONTEXT.run_id.rsplit('-', 1)[-1][:8]}".upper() + assert tracking.run_id == new assert set(user.runs) == {taken, new} assert user.runs[taken]['params'] == {} assert user.runs[new]['status'] == 'FINISHED' From b5b405ebaac48ac615acb709d818128ccd0b3d71 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Tue, 20 Oct 2026 21:05:38 +0000 Subject: [PATCH 104/123] Carry scoring defaults in a derived model bundle A binary threshold is chosen after looking at the holdout, but a bundle had nowhere to keep it, so every scheduled predict had to pass it again and a fitted or loaded trainer could only be published from fit(). ScoringDefaults(binary_classification_threshold, num_classes_to_return) is exported from kumo.engine. Trainer.with_scoring_defaults validates the defaults against the bundle's task type, copies the bundle (hardlinking unchanged files) to a new scratch directory, writes scoring-defaults.json (role scoring_defaults, part of the bundle_id; empty defaults remove it via a new kumo-core remove_bundle_file), records parents.derived_from = in provenance.json (a reconstructed record when the parent has none) and returns a trainer loaded from the copy. Trainer. scoring_defaults exposes them. predict uses the threshold default when the argument is omitted and the count default only when the argument is omitted and the query has no TOP k. A loaded bundle reads the file only when the manifest lists it and warns and ignores it when unreadable or invalid for the task, so older bundles predict as before. Trainer.export publishes a fitted or loaded trainer through the publish step fit() used. Verified with new tests for default vs explicit thresholds, a multilabel count default vs explicit count and TOP k, parent bundle untouched with its id, child id and provenance link, empty defaults restoring the no-defaults id, a parent without provenance, export and connector reload, invalid defaults, and bundles with a stray, unreadable or invalid defaults file; plus remove_bundle_file and the registry, provenance and output-column suites. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-core/src/kumo_core/artifacts.py | 29 ++- packages/kumo-core/tests/test_artifacts.py | 16 ++ packages/kumo-engine/kumo/engine/__init__.py | 2 + .../kumo/engine/trainer/__init__.py | 8 +- .../kumo/engine/trainer/_provenance.py | 15 ++ .../kumo/engine/trainer/_scoring.py | 91 +++++++ .../kumo-engine/kumo/engine/trainer/_spec.py | 4 +- .../kumo/engine/trainer/trainer.py | 132 ++++++++--- .../kumo-engine/test/test_scoring_defaults.py | 223 ++++++++++++++++++ 9 files changed, 490 insertions(+), 30 deletions(-) create mode 100644 packages/kumo-engine/kumo/engine/trainer/_scoring.py create mode 100644 packages/kumo-engine/test/test_scoring_defaults.py diff --git a/packages/kumo-core/src/kumo_core/artifacts.py b/packages/kumo-core/src/kumo_core/artifacts.py index df403e220..c5b1eb8fc 100644 --- a/packages/kumo-core/src/kumo_core/artifacts.py +++ b/packages/kumo-core/src/kumo_core/artifacts.py @@ -378,8 +378,35 @@ def add_bundle_file(bundle_dir: Path, role: str, relative_path: str) -> None: sha256=VitalArtifactPublicationPolicy._sha256(path), ).to_dict() ] + _write_bundle_manifest(bundle_dir, manifest) + + +def remove_bundle_file(bundle_dir: Path, role: str) -> None: + """Delete the file listed under ``role`` and its manifest entry.""" + from .sources import layout + + bundle_dir = Path(bundle_dir) + manifest_path = bundle_dir / VitalArtifactPublicationPolicy.MANIFEST_NAME + manifest = json.loads(manifest_path.read_text(encoding='utf-8')) + entries = manifest.get('artifacts') or [] + removed = [entry for entry in entries if entry.get('role') == role] + if not removed: + return + manifest['artifacts'] = [ + entry for entry in entries if entry.get('role') != role + ] + _write_bundle_manifest(bundle_dir, manifest) + for entry in removed: + (bundle_dir / layout.confined(entry['relative_path'])).unlink( + missing_ok=True) + + +def _write_bundle_manifest(bundle_dir: Path, + manifest: Mapping[str, Any]) -> None: payload = json.dumps(manifest, indent=2, sort_keys=True) + '\n' - atomic_write_bytes(manifest_path, payload.encode('utf-8')) + atomic_write_bytes( + bundle_dir / VitalArtifactPublicationPolicy.MANIFEST_NAME, + payload.encode('utf-8')) @runtime_checkable diff --git a/packages/kumo-core/tests/test_artifacts.py b/packages/kumo-core/tests/test_artifacts.py index eadaf82e1..635508121 100644 --- a/packages/kumo-core/tests/test_artifacts.py +++ b/packages/kumo-core/tests/test_artifacts.py @@ -17,6 +17,7 @@ VitalArtifactSources, add_bundle_file, bundle_id_from_manifest, + remove_bundle_file, resolve_vital_artifact_sources, verify_model_bundle, ) @@ -263,3 +264,18 @@ def test_bundle_id_ignores_provenance_only(tmp_path: Path) -> None: (bundle / "metrics.json").write_text('{"auc": 0}') add_bundle_file(bundle, "metrics", "metrics.json") assert verify_model_bundle(bundle) != bundle_id + + +def test_remove_bundle_file_restores_the_bundle_id(tmp_path: Path) -> None: + sources, _ = _vital_sources(tmp_path) + bundle = tmp_path / "bundle" + VitalArtifactPublicationPolicy().publish(sources, bundle) + expected = verify_model_bundle(bundle) + (bundle / "extra.json").write_text("{}") + add_bundle_file(bundle, "extra", "extra.json") + assert verify_model_bundle(bundle) != expected + + remove_bundle_file(bundle, "extra") + remove_bundle_file(bundle, "extra") + assert not (bundle / "extra.json").exists() + assert verify_model_bundle(bundle) == expected diff --git a/packages/kumo-engine/kumo/engine/__init__.py b/packages/kumo-engine/kumo/engine/__init__.py index 873f35908..1b3fb4981 100644 --- a/packages/kumo-engine/kumo/engine/__init__.py +++ b/packages/kumo-engine/kumo/engine/__init__.py @@ -52,6 +52,7 @@ ModelOutputConfig, PredictionOutputConfig, PredictionResult, + ScoringDefaults, Trainer, TrainingResult, TrainingTableOutputConfig, @@ -91,6 +92,7 @@ "Trainer", "TrainingResult", "PredictionResult", + "ScoringDefaults", "ModelOutputConfig", "PredictionOutputConfig", "TrainingTableOutputConfig", diff --git a/packages/kumo-engine/kumo/engine/trainer/__init__.py b/packages/kumo-engine/kumo/engine/trainer/__init__.py index 3301763b5..440d02dc1 100644 --- a/packages/kumo-engine/kumo/engine/trainer/__init__.py +++ b/packages/kumo-engine/kumo/engine/trainer/__init__.py @@ -2,17 +2,23 @@ # All rights reserved. # SPDX-License-Identifier: Apache-2.0 +from kumo.engine.trainer._scoring import ScoringDefaults from kumo.engine.trainer.output_config import ( ModelOutputConfig, PredictionOutputConfig, TrainingTableOutputConfig, ) -from kumo.engine.trainer.trainer import PredictionResult, Trainer, TrainingResult +from kumo.engine.trainer.trainer import ( + PredictionResult, + Trainer, + TrainingResult, +) __all__ = [ "Trainer", "TrainingResult", "PredictionResult", + "ScoringDefaults", "ModelOutputConfig", "PredictionOutputConfig", "TrainingTableOutputConfig", diff --git a/packages/kumo-engine/kumo/engine/trainer/_provenance.py b/packages/kumo-engine/kumo/engine/trainer/_provenance.py index 3287db604..d39de330c 100644 --- a/packages/kumo-engine/kumo/engine/trainer/_provenance.py +++ b/packages/kumo-engine/kumo/engine/trainer/_provenance.py @@ -72,6 +72,21 @@ def _training_table(train_table: TrainingTable) -> BundleTrainingTable: if manifest is None else manifest.parents.source_table) +def record_derivation(bundle_dir: Path, parent_bundle_id: Optional[str]) -> None: + from kumo_core.artifacts import PROVENANCE_FILE, add_bundle_file + + provenance = read_provenance(bundle_dir) + if provenance is None: + provenance = new_manifest('model_bundle', None, {}, + created_at=None, environment=None, + scheduler=None, reconstructed=True) + provenance['parents'] = { + **(provenance.get('parents') or {}), 'derived_from': parent_bundle_id + } + write_manifest(bundle_dir / PROVENANCE_FILE, provenance) + add_bundle_file(bundle_dir, PROVENANCE_ROLE, PROVENANCE_FILE) + + def read_provenance(bundle_dir: Path) -> Optional[BundleProvenance]: path = listed_file(bundle_dir, PROVENANCE_ROLE) return None if path is None else read_manifest(path, BundleProvenance) diff --git a/packages/kumo-engine/kumo/engine/trainer/_scoring.py b/packages/kumo-engine/kumo/engine/trainer/_scoring.py new file mode 100644 index 000000000..f6cefd742 --- /dev/null +++ b/packages/kumo-engine/kumo/engine/trainer/_scoring.py @@ -0,0 +1,91 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. +# All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +r"""Scoring defaults stored as ``scoring-defaults.json`` in a model bundle.""" + +import json +import warnings +from dataclasses import asdict, dataclass +from pathlib import Path +from typing import Any, Mapping, Optional + +from kumo.engine._manifest import atomic_write +from kumo.engine.trainer._spec import MANIFEST_FILE, SCORING_DEFAULTS_ROLE + +SCORING_DEFAULTS_FILE = 'scoring-defaults.json' + + +@dataclass(frozen=True) +class ScoringDefaults: + """Prediction arguments a bundle applies when ``predict`` omits them.""" + + binary_classification_threshold: Optional[float] = None + num_classes_to_return: Optional[int] = None + + +def bundle_task_type(artifact_paths: Mapping[str, str]) -> Any: + from kumo_core.types import TaskType + + schema = json.loads( + Path(artifact_paths['prediction_schema']).read_text(encoding='utf-8')) + return TaskType(schema['task_type']) + + +def validate_scoring_defaults(defaults: ScoringDefaults, + task_type: Any) -> None: + from kumo_core.prediction_options import ( + resolve_classification_threshold, + resolve_num_classes_to_return, + ) + from kumo_core.types import TaskType + + threshold = defaults.binary_classification_threshold + if threshold is not None: + if task_type is not TaskType.BINARY_CLASSIFICATION: + raise ValueError( + 'binary_classification_threshold applies only to binary ' + f'classification, not {task_type.value}') + if isinstance(threshold, bool) or not isinstance( + threshold, (int, float)): + raise ValueError('binary_classification_threshold must be a ' + f'number, but got {threshold!r}') + resolve_classification_threshold(task_type, threshold) + if defaults.num_classes_to_return is not None: + resolve_num_classes_to_return(task_type, + defaults.num_classes_to_return) + + +def write_scoring_defaults(bundle_dir: Path, + defaults: ScoringDefaults) -> None: + from kumo_core.artifacts import add_bundle_file, remove_bundle_file + + if defaults == ScoringDefaults(): + remove_bundle_file(bundle_dir, SCORING_DEFAULTS_ROLE) + return + atomic_write(bundle_dir / SCORING_DEFAULTS_FILE, + (json.dumps(asdict(defaults), indent=2, sort_keys=True) + + '\n').encode('utf-8')) + add_bundle_file(bundle_dir, SCORING_DEFAULTS_ROLE, SCORING_DEFAULTS_FILE) + + +def read_scoring_defaults( + bundle_dir: Path, artifact_paths: Mapping[str, + str]) -> ScoringDefaults: + try: + manifest = json.loads( + (bundle_dir / MANIFEST_FILE).read_text(encoding='utf-8')) + relative = next((entry['relative_path'] + for entry in manifest.get('artifacts') or [] + if entry.get('role') == SCORING_DEFAULTS_ROLE), None) + if relative is None: + return ScoringDefaults() + data = json.loads((bundle_dir / relative).read_text(encoding='utf-8')) + defaults = ScoringDefaults(data.get('binary_classification_threshold'), + data.get('num_classes_to_return')) + validate_scoring_defaults(defaults, bundle_task_type(artifact_paths)) + return defaults + except Exception as error: + warnings.warn( + f'Ignoring the scoring defaults in {bundle_dir}: {error}', + UserWarning, stacklevel=3) + return ScoringDefaults() diff --git a/packages/kumo-engine/kumo/engine/trainer/_spec.py b/packages/kumo-engine/kumo/engine/trainer/_spec.py index 2c755fab4..757390902 100644 --- a/packages/kumo-engine/kumo/engine/trainer/_spec.py +++ b/packages/kumo-engine/kumo/engine/trainer/_spec.py @@ -26,6 +26,7 @@ MANIFEST_FILE = 'publication-manifest.json' SPEC_ROLE = 'training_spec' PROVENANCE_ROLE = 'provenance' +SCORING_DEFAULTS_ROLE = 'scoring_defaults' @dataclass(frozen=True) @@ -140,5 +141,6 @@ def read_bundle_artifact_paths( return { entry['role']: str(bundle_dir / entry['relative_path']) for entry in artifacts - if entry['role'] not in (SPEC_ROLE, PROVENANCE_ROLE) + if entry['role'] not in (SPEC_ROLE, PROVENANCE_ROLE, + SCORING_DEFAULTS_ROLE) }, bundle_id diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index cc1ad3e0b..c6fad1086 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -7,6 +7,8 @@ import hashlib import json import logging +import os +import shutil import time import warnings from dataclasses import dataclass, replace @@ -57,6 +59,7 @@ from kumo.engine.graph import GraphSnapshot from kumo.engine.pquery.prediction_table import PredictionTable from kumo.engine.pquery.training_table import TrainingTable +from kumo.engine.trainer._scoring import ScoringDefaults, read_scoring_defaults from kumo.engine.trainer._spec import ( read_bundle_artifact_paths, read_training_spec, @@ -224,6 +227,38 @@ def _to_core_model_plan(model_plan: ModelPlan) -> CoreModelPlan: return internal_model_plan_from_public(model_plan) +def _link_or_copy(source: str, destination: str) -> None: + try: + os.link(source, destination) + except OSError: + shutil.copy2(source, destination) + + +def _require_publisher(export_config: ModelOutputConfig) -> None: + if not callable( + getattr(export_config.connector.sink_backend, 'publish_model', + None)): + raise NotImplementedError( + f'{type(export_config.connector).__name__} cannot publish ' + f'models') + + +def _publish(training_result: TrainingResult, + export_config: ModelOutputConfig) -> PublishedModel: + spec = read_training_spec(training_result.bundle_dir) + return export_config.connector.sink_backend.publish_model( + export_config.connector, + str(training_result.bundle_dir), + path=export_config.path, + location=export_config.location, + metadata={ + name: str(getattr(spec, name)) + for name in ('spec_version', 'predictive_query', 'snapshot_id') + }, + metrics=training_result.metrics, + ) + + def _stage_model_bundle(artifacts: Mapping[str, str], dest: Path) -> Path: from kumo_core.artifacts import stage_model_bundle return stage_model_bundle(artifacts, dest) @@ -254,6 +289,7 @@ def __init__( self._training_query: Optional[str] = None self._training_table_generation_plan: Optional[ TrainingTableGenerationPlan] = None + self._scoring_defaults = ScoringDefaults() @property def model_plan(self) -> ModelPlan: @@ -290,6 +326,56 @@ def provenance(self) -> Optional[BundleProvenance]: result = self._training_result return None if result is None else result.provenance + @property + def scoring_defaults(self) -> ScoringDefaults: + """Prediction defaults carried by the fitted or loaded bundle.""" + return self._scoring_defaults + + def _fitted(self, method: str) -> TrainingResult: + if self._training_result is None: + raise RuntimeError( + f"Trainer.{method}() requires a prior Trainer.fit() call on " + "this same Trainer instance.") + return self._training_result + + def with_scoring_defaults(self, defaults: ScoringDefaults) -> Self: + r"""Return a trainer whose new bundle carries ``defaults``. + + ``defaults`` replace any the bundle already carries; empty defaults + remove them. The bundle is copied, so this trainer's bundle and + ``bundle_id`` are unchanged. The copy records this bundle's id as + ``provenance['parents']['derived_from']`` and gets its own + ``bundle_id``. ``predict`` uses a default only when its argument is + omitted. + """ + from kumo.engine.trainer._provenance import record_derivation + from kumo.engine.trainer._scoring import ( + bundle_task_type, + validate_scoring_defaults, + write_scoring_defaults, + ) + + training_result = self._fitted('with_scoring_defaults') + validate_scoring_defaults( + defaults, bundle_task_type(training_result.artifact_paths)) + bundle_dir = trainer_scratch_dir(new_run_id()) / 'derived-model' + shutil.copytree(training_result.bundle_dir, bundle_dir, + copy_function=_link_or_copy) + write_scoring_defaults(bundle_dir, defaults) + try: + record_derivation(bundle_dir, training_result.bundle_id) + except Exception as error: + warnings.warn( + f"Could not record the parent bundle in provenance.json: " + f"{error}", UserWarning, stacklevel=2) + return self._load_bundle(bundle_dir, self._embedding_models) + + def export(self, config: ModelOutputConfig) -> PublishedModel: + """Publish the fitted or loaded model bundle.""" + training_result = self._fitted('export') + _require_publisher(config) + return _publish(training_result, config) + def fit( self, train_table: TrainingTable, @@ -331,12 +417,8 @@ def fit( `kumo.engine.integrations.snowflake.SnowflakeTracking`; tracking errors are logged, never raised. """ - if export_config is not None and not callable( - getattr(export_config.connector.sink_backend, 'publish_model', - None)): - raise NotImplementedError( - f'{type(export_config.connector).__name__} cannot publish ' - f'models') + if export_config is not None: + _require_publisher(export_config) run_id = f'{self._id}-fit-{new_run_id()}' session = TrackingSession(tracking) events = EventEmitter( @@ -620,23 +702,12 @@ def _finish_fit( f"Publishing the model bundle without provenance.json: " f"{error}", UserWarning, stacklevel=3) if export_config is not None: - spec = read_training_spec(training_result.bundle_dir) - published = export_config.connector.sink_backend.publish_model( - export_config.connector, - str(training_result.bundle_dir), - path=export_config.path, - location=export_config.location, - metadata={ - name: str(getattr(spec, name)) - for name in ('spec_version', 'predictive_query', - 'snapshot_id') - }, - metrics=training_result.metrics, - ) - training_result = replace(training_result, - published_model=published) + training_result = replace( + training_result, + published_model=_publish(training_result, export_config)) self._training_result = training_result + self._scoring_defaults = ScoringDefaults() self._snapshot_id = snapshot_id self._training_query = predictive_query self._training_table_generation_plan = training_table_generation @@ -720,6 +791,10 @@ def predict( Binary classification requires an explicit threshold. Multilabel classification defaults to 0.5. Both accept thresholds from 0 to 1; thresholds change predicted labels without changing class scores. + + An omitted ``binary_classification_threshold`` falls back to the + bundle's :attr:`scoring_defaults`; an omitted ``num_classes_to_return`` + does too when the query has no ``TOP k``. """ from kumo_core.prediction_options import ( validate_num_classes_to_return, @@ -728,10 +803,10 @@ def predict( validate_prediction_workers(num_workers) validate_num_classes_to_return(num_classes_to_return) - if self._training_result is None: - raise RuntimeError( - "Trainer.predict() requires a prior Trainer.fit() call on " - "this same Trainer instance.") + training_result = self._fitted('predict') + if binary_classification_threshold is None: + binary_classification_threshold = ( + self._scoring_defaults.binary_classification_threshold) from kumo_core.pquery import normalize_graph, parse_and_validate_query from kumo_core.prediction_options import ( prediction_query_contract, @@ -765,6 +840,8 @@ def predict( # population and anchors still come from the immutable PredictionTable. native_graph = normalize_graph(graph_config) parsed = parse_and_validate_query(prediction_table.query, native_graph) + if num_classes_to_return is None and parsed.query.top_k is None: + num_classes_to_return = self._scoring_defaults.num_classes_to_return num_classes_to_return = resolve_num_classes_to_return( task_type, num_classes_to_return, @@ -791,7 +868,7 @@ def predict( from kumo_core.io.json import load_json # Loaded once: the embedding check and the in-process scorer share it. - encoders_path = self._training_result.artifact_paths.get('encoders') + encoders_path = training_result.artifact_paths.get('encoders') encoders = (load_json(encoders_path, EncodersConfig) if encoders_path and Path(encoders_path).is_file() else None) require_trained_embedding_models(self._embedding_models, encoders) @@ -855,7 +932,7 @@ def predict( model_dir = str( _stage_model_bundle( - self._training_result.artifact_paths, + training_result.artifact_paths, run_dir / 'model_bundle', )) @@ -961,4 +1038,5 @@ def _load_bundle( spec.training_table_generation, TrainingTableGenerationPlan) trainer._training_result = TrainingResult(metrics, paths, bundle_dir, bundle_id=bundle_id) + trainer._scoring_defaults = read_scoring_defaults(bundle_dir, paths) return trainer diff --git a/packages/kumo-engine/test/test_scoring_defaults.py b/packages/kumo-engine/test/test_scoring_defaults.py new file mode 100644 index 000000000..5db98b4f2 --- /dev/null +++ b/packages/kumo-engine/test/test_scoring_defaults.py @@ -0,0 +1,223 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. +# All rights reserved. +# SPDX-License-Identifier: Apache-2.0 + +import hashlib +import json +import shutil + +import numpy as np +import pandas as pd +import pytest +from kumo_core.artifacts import add_bundle_file, remove_bundle_file +from kumo_core.types import TaskType +from kumoapi.model_plan import ModelPlan + +import kumo.engine as kumo +from kumo.engine._scratch import get_scratch_dir +from kumo.engine.trainer._scoring import validate_scoring_defaults +from kumo.engine.trainer._spec import MANIFEST_FILE + + +def _frame(trainer, table, snapshot, **kwargs): + result = trainer.predict(table, snapshot=snapshot, **kwargs) + return result.frame.sort_values('ENTITY').reset_index(drop=True) + + +def _digest(directory): + return { + str(path.relative_to(directory)): + hashlib.sha256(path.read_bytes()).hexdigest() + for path in sorted(directory.rglob('*')) if path.is_file() + } + + +@pytest.fixture(scope='module') +def derived(fitted): + trainer, table, snapshot = fitted + original = _digest(trainer._training_result.bundle_dir) + probs = _frame(trainer, table, snapshot, + binary_classification_threshold=.5)['True_PROB'] + defaults = kumo.ScoringDefaults( + binary_classification_threshold=float(probs.median())) + return trainer.with_scoring_defaults(defaults), original + + +def test_binary_predict_uses_bundle_threshold_unless_explicit( + fitted, derived): + trainer, table, snapshot = fitted + child, _ = derived + threshold = child.scoring_defaults.binary_classification_threshold + assert trainer.scoring_defaults == kumo.ScoringDefaults() + + implicit = _frame(child, table, snapshot) + pd.testing.assert_frame_equal( + implicit, + _frame(trainer, table, snapshot, + binary_classification_threshold=threshold)) + explicit = _frame(child, table, snapshot, + binary_classification_threshold=1.0) + assert not explicit['TARGET_PRED'].any() + assert implicit['TARGET_PRED'].any() + + +def test_derived_bundle_is_a_new_child_of_an_untouched_parent( + fitted, derived): + trainer, *_ = fitted + child, original = derived + parent_dir = trainer._training_result.bundle_dir + assert _digest(parent_dir) == original + assert kumo.Trainer.load(parent_dir).bundle_id == trainer.bundle_id + assert child.bundle_id != trainer.bundle_id + assert child._training_result.bundle_dir.name == 'derived-model' + + provenance = child._training_result.provenance + assert provenance['parents']['derived_from'] == trainer.bundle_id + assert (provenance['parents']['snapshot'] == + trainer._training_result.provenance['parents']['snapshot']) + manifest = json.loads( + (child._training_result.bundle_dir / MANIFEST_FILE).read_text()) + assert { + entry['role']: entry['relative_path'] + for entry in manifest['artifacts'] + }['scoring_defaults'] == 'scoring-defaults.json' + assert 'scoring_defaults' not in child._training_result.artifact_paths + + +def test_empty_defaults_restore_the_no_defaults_bundle_id(fitted, derived): + trainer, *_ = fitted + child, _ = derived + for source in (trainer, child): + cleared = source.with_scoring_defaults(kumo.ScoringDefaults()) + assert cleared.bundle_id == trainer.bundle_id + assert cleared.scoring_defaults == kumo.ScoringDefaults() + assert not (cleared._training_result.bundle_dir / + 'scoring-defaults.json').exists() + + +def test_derivation_without_parent_provenance_is_marked_reconstructed( + fitted, tmp_path): + trainer, *_ = fitted + bundle = tmp_path / 'old' + shutil.copytree(trainer._training_result.bundle_dir, bundle) + remove_bundle_file(bundle, 'provenance') + child = kumo.Trainer.load(bundle).with_scoring_defaults( + kumo.ScoringDefaults(binary_classification_threshold=.5)) + provenance = child._training_result.provenance + assert provenance['reconstructed'] is True + assert provenance['parents'] == {'derived_from': trainer.bundle_id} + assert provenance['created_at'] is None + assert provenance['environment'] is None + + +def test_defaults_survive_export_and_connector_load(derived, tmp_path): + child, _ = derived + registry = kumo.FileConnector(root_dir=str(tmp_path)) + published = child.export(kumo.ModelOutputConfig(registry, path='m1')) + assert published is not None + loaded = kumo.Trainer.load_from_connector(registry, path='m1') + assert loaded.scoring_defaults == child.scoring_defaults + assert loaded.bundle_id == child.bundle_id + + +@pytest.mark.parametrize('defaults, task_type, match', [ + (kumo.ScoringDefaults(binary_classification_threshold=1.5), + TaskType.BINARY_CLASSIFICATION, 'between 0 and 1'), + (kumo.ScoringDefaults(num_classes_to_return=3), + TaskType.BINARY_CLASSIFICATION, 'num_classes_to_return'), + (kumo.ScoringDefaults(binary_classification_threshold=.5), + TaskType.MULTILABEL_CLASSIFICATION, 'only to binary'), + (kumo.ScoringDefaults(binary_classification_threshold=.5), + TaskType.REGRESSION, 'only to binary'), + (kumo.ScoringDefaults(num_classes_to_return=501), + TaskType.STATIC_LINK_PREDICTION, '500'), +]) +def test_invalid_defaults_raise(defaults, task_type, match): + with pytest.raises(ValueError, match=match): + validate_scoring_defaults(defaults, task_type) + + +def test_with_scoring_defaults_validates_against_the_bundle(fitted): + trainer, *_ = fitted + with pytest.raises(ValueError, match='num_classes_to_return'): + trainer.with_scoring_defaults( + kumo.ScoringDefaults(num_classes_to_return=2)) + with pytest.raises(RuntimeError, match='requires a prior'): + kumo.Trainer(ModelPlan()).with_scoring_defaults( + kumo.ScoringDefaults()) + with pytest.raises(RuntimeError, match='requires a prior'): + kumo.Trainer(ModelPlan()).export( + kumo.ModelOutputConfig(kumo.FileConnector(root_dir='.'), + path='m')) + + +def test_bundle_without_listed_defaults_keeps_todays_behaviour( + fitted, tmp_path): + trainer, table, snapshot = fitted + bundle = tmp_path / 'old' + shutil.copytree(trainer._training_result.bundle_dir, bundle) + (bundle / 'scoring-defaults.json').write_text( + json.dumps({'binary_classification_threshold': .5})) + old = kumo.Trainer.load(bundle) + assert old.scoring_defaults == kumo.ScoringDefaults() + assert old.bundle_id == trainer.bundle_id + with pytest.raises(ValueError, match='must be specified'): + old.predict(table, snapshot=snapshot) + + for content in ('not json', json.dumps({'num_classes_to_return': 2})): + (bundle / 'scoring-defaults.json').write_text(content) + add_bundle_file(bundle, 'scoring_defaults', 'scoring-defaults.json') + with pytest.warns(UserWarning, match='Ignoring the scoring defaults'): + ignored = kumo.Trainer.load(bundle) + assert ignored.scoring_defaults == kumo.ScoringDefaults() + with pytest.raises(ValueError, match='must be specified'): + ignored.predict(table, snapshot=snapshot) + + +def test_multilabel_count_default_yields_to_explicit_and_top_k(tmp_path): + previous = get_scratch_dir() + kumo.configure(scratch_dir=tmp_path / 'scratch') + try: + data = tmp_path / 'data' + data.mkdir() + pd.DataFrame({ + 'ID': range(120), + 'VALUE': np.arange(120) / 120, + 'TAGS': [['a', 'b'], ['b', 'c'], ['a', 'c']] * 33 + + [['a', 'b']] + [None] * 20, + }).to_parquet(data / 'users.parquet') + connector = kumo.FileConnector(root_dir=str(data)) + graph = kumo.Graph({ + 'users': kumo.Table.from_source_table(connector['users'], + primary_key='ID'), + }) + snapshot = graph.snapshot() + plan = ModelPlan() + plan.training_job.disable_explain = True + plan.optimization.max_epochs = 1 + plan.optimization.max_steps_per_epoch = 2 + plan.optimization.batch_size = [32] + plan.model_architecture.channels = [16] + trainer = kumo.Trainer(plan) + trainer.fit( + kumo.PredictiveQuery( + graph, 'PREDICT users.TAGS CLASSIFY TOP 3 FOR EACH users.ID'). + generate_training_table(snapshot), snapshot=snapshot) + child = trainer.with_scoring_defaults( + kumo.ScoringDefaults(num_classes_to_return=2)) + + def rows(model, query, **kwargs): + table = kumo.PredictiveQuery( + graph, query).generate_prediction_table(snapshot) + return model.predict(table, snapshot=snapshot, + **kwargs).frame.groupby('ENTITY').size() + + without_top = 'PREDICT users.TAGS CLASSIFY FOR EACH users.ID' + with_top = 'PREDICT users.TAGS CLASSIFY TOP 3 FOR EACH users.ID' + assert set(rows(child, without_top)) == {2} + assert set(rows(child, without_top, num_classes_to_return=1)) == {1} + assert set(rows(child, with_top)) == {3} + assert set(rows(trainer, without_top)) == set( + rows(child, without_top, num_classes_to_return=3)) + finally: + kumo.configure(scratch_dir=previous) From 75378e4b607c7b8b7548c893036a9ad55cd2b6d1 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 08:33:03 +0000 Subject: [PATCH 105/123] Normalise scoring defaults and allow a multilabel threshold default Problem: with_scoring_defaults refused a threshold default for multilabel classification although predict accepts one there, wrote 1 and 1.0 as different bytes (so different bundle ids) and rejected numpy scalars, and replaced an unreadable or newer provenance.json with a reconstructed record. Change: defaults are validated and normalised (threshold float, class count int) before the bundle is copied; the threshold applies to binary and multilabel classification. record_derivation leaves a listed but unreadable provenance.json untouched and warns. README documents with_scoring_defaults and Trainer.export. The kumo-core remove_bundle_file unit test is dropped; the empty-defaults bundle id test covers it. Verification: test_scoring_defaults.py, test_trainer_registry.py and test_bundle_provenance.py (47) and kumo-core test_artifacts.py (10) pass. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-core/tests/test_artifacts.py | 16 ---- packages/kumo-engine/README.md | 21 +++++ .../kumo/engine/trainer/_provenance.py | 3 + .../kumo/engine/trainer/_scoring.py | 49 +++++------ .../kumo/engine/trainer/trainer.py | 16 ++-- .../kumo-engine/test/test_scoring_defaults.py | 88 +++++++++++-------- 6 files changed, 105 insertions(+), 88 deletions(-) diff --git a/packages/kumo-core/tests/test_artifacts.py b/packages/kumo-core/tests/test_artifacts.py index 635508121..eadaf82e1 100644 --- a/packages/kumo-core/tests/test_artifacts.py +++ b/packages/kumo-core/tests/test_artifacts.py @@ -17,7 +17,6 @@ VitalArtifactSources, add_bundle_file, bundle_id_from_manifest, - remove_bundle_file, resolve_vital_artifact_sources, verify_model_bundle, ) @@ -264,18 +263,3 @@ def test_bundle_id_ignores_provenance_only(tmp_path: Path) -> None: (bundle / "metrics.json").write_text('{"auc": 0}') add_bundle_file(bundle, "metrics", "metrics.json") assert verify_model_bundle(bundle) != bundle_id - - -def test_remove_bundle_file_restores_the_bundle_id(tmp_path: Path) -> None: - sources, _ = _vital_sources(tmp_path) - bundle = tmp_path / "bundle" - VitalArtifactPublicationPolicy().publish(sources, bundle) - expected = verify_model_bundle(bundle) - (bundle / "extra.json").write_text("{}") - add_bundle_file(bundle, "extra", "extra.json") - assert verify_model_bundle(bundle) != expected - - remove_bundle_file(bundle, "extra") - remove_bundle_file(bundle, "extra") - assert not (bundle / "extra.json").exists() - assert verify_model_bundle(bundle) == expected diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index b3832309a..60a94ff12 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -243,6 +243,27 @@ for evaluation. Older bundles may contain an AutoML search space instead of the fitted architecture. They support prediction but are unreliable warm-start sources. +### Scoring defaults + +A bundle can carry the prediction arguments `predict` uses when a call omits them: + +```python +from kumo.engine import ModelOutputConfig, ModelRegistryLocation, ScoringDefaults + +tuned = trainer.with_scoring_defaults( + ScoringDefaults(binary_classification_threshold=0.37)) +tuned.predict(prediction_table, snapshot=snapshot) # thresholds at 0.37 +tuned.export(ModelOutputConfig(registry, location=ModelRegistryLocation("CHURN_GNN"))) +``` + +`with_scoring_defaults` works on a copy: the new bundle has its own `bundle_id` and +records the original's as `provenance["parents"]["derived_from"]`; the original is +unchanged. `binary_classification_threshold` applies to binary and multilabel +classification; `num_classes_to_return` to multiclass, multilabel and link +prediction, unless the query has `TOP k`. Explicit `predict` arguments always win, +and empty `ScoringDefaults()` removes the defaults. `Trainer.export(config)` +publishes a fitted or loaded trainer's bundle like `fit(export_config=...)` does. + ### Caller-supplied training and prediction rows A connector table can supply labeled training rows directly. The table uses diff --git a/packages/kumo-engine/kumo/engine/trainer/_provenance.py b/packages/kumo-engine/kumo/engine/trainer/_provenance.py index d39de330c..b6bbe0555 100644 --- a/packages/kumo-engine/kumo/engine/trainer/_provenance.py +++ b/packages/kumo-engine/kumo/engine/trainer/_provenance.py @@ -77,6 +77,9 @@ def record_derivation(bundle_dir: Path, parent_bundle_id: Optional[str]) -> None provenance = read_provenance(bundle_dir) if provenance is None: + if listed_file(bundle_dir, PROVENANCE_ROLE) is not None: + raise ValueError('its provenance.json is unreadable or from a ' + 'newer kumo-engine, so it is left unchanged') provenance = new_manifest('model_bundle', None, {}, created_at=None, environment=None, scheduler=None, reconstructed=True) diff --git a/packages/kumo-engine/kumo/engine/trainer/_scoring.py b/packages/kumo-engine/kumo/engine/trainer/_scoring.py index f6cefd742..8dce735bf 100644 --- a/packages/kumo-engine/kumo/engine/trainer/_scoring.py +++ b/packages/kumo-engine/kumo/engine/trainer/_scoring.py @@ -6,6 +6,7 @@ import json import warnings from dataclasses import asdict, dataclass +from numbers import Integral, Real from pathlib import Path from typing import Any, Mapping, Optional @@ -31,32 +32,32 @@ def bundle_task_type(artifact_paths: Mapping[str, str]) -> Any: return TaskType(schema['task_type']) -def validate_scoring_defaults(defaults: ScoringDefaults, - task_type: Any) -> None: +def normalized_scoring_defaults(defaults: ScoringDefaults, + task_type: Any) -> ScoringDefaults: from kumo_core.prediction_options import ( resolve_classification_threshold, resolve_num_classes_to_return, ) - from kumo_core.types import TaskType threshold = defaults.binary_classification_threshold + count = defaults.num_classes_to_return if threshold is not None: - if task_type is not TaskType.BINARY_CLASSIFICATION: - raise ValueError( - 'binary_classification_threshold applies only to binary ' - f'classification, not {task_type.value}') - if isinstance(threshold, bool) or not isinstance( - threshold, (int, float)): + if isinstance(threshold, bool) or not isinstance(threshold, Real): raise ValueError('binary_classification_threshold must be a ' f'number, but got {threshold!r}') - resolve_classification_threshold(task_type, threshold) - if defaults.num_classes_to_return is not None: - resolve_num_classes_to_return(task_type, - defaults.num_classes_to_return) + threshold = float(threshold) + if resolve_classification_threshold(task_type, threshold) is None: + raise ValueError( + 'binary_classification_threshold applies only to binary and ' + f'multilabel classification, not {task_type.value}') + if isinstance(count, Integral) and not isinstance(count, bool): + count = int(count) + if count is not None: + resolve_num_classes_to_return(task_type, count) + return ScoringDefaults(threshold, count) -def write_scoring_defaults(bundle_dir: Path, - defaults: ScoringDefaults) -> None: +def write_scoring_defaults(bundle_dir: Path, defaults: ScoringDefaults) -> None: from kumo_core.artifacts import add_bundle_file, remove_bundle_file if defaults == ScoringDefaults(): @@ -68,9 +69,8 @@ def write_scoring_defaults(bundle_dir: Path, add_bundle_file(bundle_dir, SCORING_DEFAULTS_ROLE, SCORING_DEFAULTS_FILE) -def read_scoring_defaults( - bundle_dir: Path, artifact_paths: Mapping[str, - str]) -> ScoringDefaults: +def read_scoring_defaults(bundle_dir: Path, + artifact_paths: Mapping[str, str]) -> ScoringDefaults: try: manifest = json.loads( (bundle_dir / MANIFEST_FILE).read_text(encoding='utf-8')) @@ -80,12 +80,11 @@ def read_scoring_defaults( if relative is None: return ScoringDefaults() data = json.loads((bundle_dir / relative).read_text(encoding='utf-8')) - defaults = ScoringDefaults(data.get('binary_classification_threshold'), - data.get('num_classes_to_return')) - validate_scoring_defaults(defaults, bundle_task_type(artifact_paths)) - return defaults + return normalized_scoring_defaults( + ScoringDefaults(data.get('binary_classification_threshold'), + data.get('num_classes_to_return')), + bundle_task_type(artifact_paths)) except Exception as error: - warnings.warn( - f'Ignoring the scoring defaults in {bundle_dir}: {error}', - UserWarning, stacklevel=3) + warnings.warn(f'Ignoring the scoring defaults in {bundle_dir}: {error}', + UserWarning, stacklevel=3) return ScoringDefaults() diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index c6fad1086..f8e332de8 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -339,24 +339,18 @@ def _fitted(self, method: str) -> TrainingResult: return self._training_result def with_scoring_defaults(self, defaults: ScoringDefaults) -> Self: - r"""Return a trainer whose new bundle carries ``defaults``. - - ``defaults`` replace any the bundle already carries; empty defaults - remove them. The bundle is copied, so this trainer's bundle and - ``bundle_id`` are unchanged. The copy records this bundle's id as - ``provenance['parents']['derived_from']`` and gets its own - ``bundle_id``. ``predict`` uses a default only when its argument is - omitted. - """ + r"""Return a trainer on a copy of this bundle that carries + ``defaults``, with its own ``bundle_id``. Empty defaults remove them; + ``predict`` uses a default only when its argument is omitted.""" from kumo.engine.trainer._provenance import record_derivation from kumo.engine.trainer._scoring import ( bundle_task_type, - validate_scoring_defaults, + normalized_scoring_defaults, write_scoring_defaults, ) training_result = self._fitted('with_scoring_defaults') - validate_scoring_defaults( + defaults = normalized_scoring_defaults( defaults, bundle_task_type(training_result.artifact_paths)) bundle_dir = trainer_scratch_dir(new_run_id()) / 'derived-model' shutil.copytree(training_result.bundle_dir, bundle_dir, diff --git a/packages/kumo-engine/test/test_scoring_defaults.py b/packages/kumo-engine/test/test_scoring_defaults.py index 5db98b4f2..25f9819c2 100644 --- a/packages/kumo-engine/test/test_scoring_defaults.py +++ b/packages/kumo-engine/test/test_scoring_defaults.py @@ -15,8 +15,7 @@ import kumo.engine as kumo from kumo.engine._scratch import get_scratch_dir -from kumo.engine.trainer._scoring import validate_scoring_defaults -from kumo.engine.trainer._spec import MANIFEST_FILE +from kumo.engine.trainer._scoring import normalized_scoring_defaults def _frame(trainer, table, snapshot, **kwargs): @@ -43,8 +42,7 @@ def derived(fitted): return trainer.with_scoring_defaults(defaults), original -def test_binary_predict_uses_bundle_threshold_unless_explicit( - fitted, derived): +def test_binary_predict_uses_bundle_threshold_unless_explicit(fitted, derived): trainer, table, snapshot = fitted child, _ = derived threshold = child.scoring_defaults.binary_classification_threshold @@ -61,27 +59,16 @@ def test_binary_predict_uses_bundle_threshold_unless_explicit( assert implicit['TARGET_PRED'].any() -def test_derived_bundle_is_a_new_child_of_an_untouched_parent( - fitted, derived): +def test_derived_bundle_is_a_new_child_of_an_untouched_parent(fitted, derived): trainer, *_ = fitted child, original = derived parent_dir = trainer._training_result.bundle_dir assert _digest(parent_dir) == original assert kumo.Trainer.load(parent_dir).bundle_id == trainer.bundle_id assert child.bundle_id != trainer.bundle_id - assert child._training_result.bundle_dir.name == 'derived-model' - - provenance = child._training_result.provenance - assert provenance['parents']['derived_from'] == trainer.bundle_id - assert (provenance['parents']['snapshot'] == - trainer._training_result.provenance['parents']['snapshot']) - manifest = json.loads( - (child._training_result.bundle_dir / MANIFEST_FILE).read_text()) - assert { - entry['role']: entry['relative_path'] - for entry in manifest['artifacts'] - }['scoring_defaults'] == 'scoring-defaults.json' - assert 'scoring_defaults' not in child._training_result.artifact_paths + assert child.provenance['parents'] == { + **trainer.provenance['parents'], 'derived_from': trainer.bundle_id + } def test_empty_defaults_restore_the_no_defaults_bundle_id(fitted, derived): @@ -95,6 +82,17 @@ def test_empty_defaults_restore_the_no_defaults_bundle_id(fitted, derived): 'scoring-defaults.json').exists() +def test_equal_defaults_give_equal_bundle_ids(fitted): + trainer, *_ = fitted + children = [ + trainer.with_scoring_defaults( + kumo.ScoringDefaults(binary_classification_threshold=value)) + for value in (1, 1.0, np.float32(1)) + ] + assert {child.bundle_id for child in children} == {children[0].bundle_id} + assert children[0].scoring_defaults.binary_classification_threshold == 1.0 + + def test_derivation_without_parent_provenance_is_marked_reconstructed( fitted, tmp_path): trainer, *_ = fitted @@ -103,11 +101,23 @@ def test_derivation_without_parent_provenance_is_marked_reconstructed( remove_bundle_file(bundle, 'provenance') child = kumo.Trainer.load(bundle).with_scoring_defaults( kumo.ScoringDefaults(binary_classification_threshold=.5)) - provenance = child._training_result.provenance + provenance = child.provenance assert provenance['reconstructed'] is True assert provenance['parents'] == {'derived_from': trainer.bundle_id} - assert provenance['created_at'] is None - assert provenance['environment'] is None + + +def test_unreadable_parent_provenance_is_left_untouched(fitted, tmp_path): + trainer, *_ = fitted + bundle = tmp_path / 'newer' + shutil.copytree(trainer._training_result.bundle_dir, bundle) + newer = json.dumps({'schema_version': 999, 'parents': {}}) + (bundle / 'provenance.json').write_text(newer) + add_bundle_file(bundle, 'provenance', 'provenance.json') + with pytest.warns(UserWarning, match='left unchanged'): + child = kumo.Trainer.load(bundle).with_scoring_defaults( + kumo.ScoringDefaults(binary_classification_threshold=.5)) + assert (child._training_result.bundle_dir / + 'provenance.json').read_text() == newer def test_defaults_survive_export_and_connector_load(derived, tmp_path): @@ -126,15 +136,21 @@ def test_defaults_survive_export_and_connector_load(derived, tmp_path): (kumo.ScoringDefaults(num_classes_to_return=3), TaskType.BINARY_CLASSIFICATION, 'num_classes_to_return'), (kumo.ScoringDefaults(binary_classification_threshold=.5), - TaskType.MULTILABEL_CLASSIFICATION, 'only to binary'), - (kumo.ScoringDefaults(binary_classification_threshold=.5), - TaskType.REGRESSION, 'only to binary'), + TaskType.REGRESSION, 'only to binary and multilabel'), (kumo.ScoringDefaults(num_classes_to_return=501), TaskType.STATIC_LINK_PREDICTION, '500'), ]) def test_invalid_defaults_raise(defaults, task_type, match): with pytest.raises(ValueError, match=match): - validate_scoring_defaults(defaults, task_type) + normalized_scoring_defaults(defaults, task_type) + + +def test_multilabel_accepts_threshold_and_count_defaults(): + defaults = kumo.ScoringDefaults(binary_classification_threshold=.3, + num_classes_to_return=np.int64(2)) + assert normalized_scoring_defaults( + defaults, + TaskType.MULTILABEL_CLASSIFICATION) == kumo.ScoringDefaults(.3, 2) def test_with_scoring_defaults_validates_against_the_bundle(fitted): @@ -143,12 +159,10 @@ def test_with_scoring_defaults_validates_against_the_bundle(fitted): trainer.with_scoring_defaults( kumo.ScoringDefaults(num_classes_to_return=2)) with pytest.raises(RuntimeError, match='requires a prior'): - kumo.Trainer(ModelPlan()).with_scoring_defaults( - kumo.ScoringDefaults()) + kumo.Trainer(ModelPlan()).with_scoring_defaults(kumo.ScoringDefaults()) with pytest.raises(RuntimeError, match='requires a prior'): kumo.Trainer(ModelPlan()).export( - kumo.ModelOutputConfig(kumo.FileConnector(root_dir='.'), - path='m')) + kumo.ModelOutputConfig(kumo.FileConnector(root_dir='.'), path='m')) def test_bundle_without_listed_defaults_keeps_todays_behaviour( @@ -181,15 +195,17 @@ def test_multilabel_count_default_yields_to_explicit_and_top_k(tmp_path): data = tmp_path / 'data' data.mkdir() pd.DataFrame({ - 'ID': range(120), - 'VALUE': np.arange(120) / 120, - 'TAGS': [['a', 'b'], ['b', 'c'], ['a', 'c']] * 33 + - [['a', 'b']] + [None] * 20, + 'ID': + range(120), + 'VALUE': + np.arange(120) / 120, + 'TAGS': [['a', 'b'], ['b', 'c'], ['a', 'c']] * 33 + [['a', 'b']] + + [None] * 20, }).to_parquet(data / 'users.parquet') connector = kumo.FileConnector(root_dir=str(data)) graph = kumo.Graph({ - 'users': kumo.Table.from_source_table(connector['users'], - primary_key='ID'), + 'users': + kumo.Table.from_source_table(connector['users'], primary_key='ID'), }) snapshot = graph.snapshot() plan = ModelPlan() From f670d50ea138e8480b2f8b1d1bee5cfc167ae934 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 09:39:14 +0000 Subject: [PATCH 106/123] Trim scoring defaults to essentials Three readers each re-parsed the publication manifest to find one role's file, the tests split one derived-bundle scenario over several tests and ran a second real fit, and the README repeated the docstrings. Add one listed_file helper for provenance and scoring-defaults reads, merge the derived-bundle, provenance-fallback and back-compat tests, drop the second real fit and the private validator matrix, and cut README and docstrings to usage and limits. Behaviour is unchanged. Verified: test_scoring_defaults, test_bundle_provenance, test_trainer_registry and kumo-core test_artifacts pass. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/README.md | 13 +- .../kumo/engine/trainer/_scoring.py | 14 +- .../kumo/engine/trainer/trainer.py | 8 +- .../kumo-engine/test/test_scoring_defaults.py | 204 +++++------------- 4 files changed, 62 insertions(+), 177 deletions(-) diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index 60a94ff12..0cd00e2ef 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -256,13 +256,12 @@ tuned.predict(prediction_table, snapshot=snapshot) # thresholds at 0.37 tuned.export(ModelOutputConfig(registry, location=ModelRegistryLocation("CHURN_GNN"))) ``` -`with_scoring_defaults` works on a copy: the new bundle has its own `bundle_id` and -records the original's as `provenance["parents"]["derived_from"]`; the original is -unchanged. `binary_classification_threshold` applies to binary and multilabel -classification; `num_classes_to_return` to multiclass, multilabel and link -prediction, unless the query has `TOP k`. Explicit `predict` arguments always win, -and empty `ScoringDefaults()` removes the defaults. `Trainer.export(config)` -publishes a fitted or loaded trainer's bundle like `fit(export_config=...)` does. +`with_scoring_defaults` returns a trainer on a copy with its own `bundle_id`; the copy's +`provenance["parents"]["derived_from"]` names the original. The threshold applies to +binary and multilabel classification, `num_classes_to_return` to multiclass, multilabel +and link prediction. Explicit `predict` arguments and a query's `TOP k` win; +`ScoringDefaults()` removes the defaults. `Trainer.export(config)` publishes a fitted or +loaded bundle like `fit(export_config=...)`. ### Caller-supplied training and prediction rows diff --git a/packages/kumo-engine/kumo/engine/trainer/_scoring.py b/packages/kumo-engine/kumo/engine/trainer/_scoring.py index 8dce735bf..ead3f9058 100644 --- a/packages/kumo-engine/kumo/engine/trainer/_scoring.py +++ b/packages/kumo-engine/kumo/engine/trainer/_scoring.py @@ -11,7 +11,7 @@ from typing import Any, Mapping, Optional from kumo.engine._manifest import atomic_write -from kumo.engine.trainer._spec import MANIFEST_FILE, SCORING_DEFAULTS_ROLE +from kumo.engine.trainer._spec import SCORING_DEFAULTS_ROLE, listed_file SCORING_DEFAULTS_FILE = 'scoring-defaults.json' @@ -71,15 +71,11 @@ def write_scoring_defaults(bundle_dir: Path, defaults: ScoringDefaults) -> None: def read_scoring_defaults(bundle_dir: Path, artifact_paths: Mapping[str, str]) -> ScoringDefaults: + path = listed_file(bundle_dir, SCORING_DEFAULTS_ROLE) + if path is None: + return ScoringDefaults() try: - manifest = json.loads( - (bundle_dir / MANIFEST_FILE).read_text(encoding='utf-8')) - relative = next((entry['relative_path'] - for entry in manifest.get('artifacts') or [] - if entry.get('role') == SCORING_DEFAULTS_ROLE), None) - if relative is None: - return ScoringDefaults() - data = json.loads((bundle_dir / relative).read_text(encoding='utf-8')) + data = json.loads(path.read_text(encoding='utf-8')) return normalized_scoring_defaults( ScoringDefaults(data.get('binary_classification_threshold'), data.get('num_classes_to_return')), diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index f8e332de8..d6a2f6b94 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -339,9 +339,7 @@ def _fitted(self, method: str) -> TrainingResult: return self._training_result def with_scoring_defaults(self, defaults: ScoringDefaults) -> Self: - r"""Return a trainer on a copy of this bundle that carries - ``defaults``, with its own ``bundle_id``. Empty defaults remove them; - ``predict`` uses a default only when its argument is omitted.""" + """Return a trainer on a copy of this bundle that carries ``defaults``.""" from kumo.engine.trainer._provenance import record_derivation from kumo.engine.trainer._scoring import ( bundle_task_type, @@ -786,9 +784,7 @@ def predict( classification defaults to 0.5. Both accept thresholds from 0 to 1; thresholds change predicted labels without changing class scores. - An omitted ``binary_classification_threshold`` falls back to the - bundle's :attr:`scoring_defaults`; an omitted ``num_classes_to_return`` - does too when the query has no ``TOP k``. + Omitted arguments fall back to the bundle's :attr:`scoring_defaults`. """ from kumo_core.prediction_options import ( validate_num_classes_to_return, diff --git a/packages/kumo-engine/test/test_scoring_defaults.py b/packages/kumo-engine/test/test_scoring_defaults.py index 25f9819c2..dc2ea2e54 100644 --- a/packages/kumo-engine/test/test_scoring_defaults.py +++ b/packages/kumo-engine/test/test_scoring_defaults.py @@ -14,7 +14,6 @@ from kumoapi.model_plan import ModelPlan import kumo.engine as kumo -from kumo.engine._scratch import get_scratch_dir from kumo.engine.trainer._scoring import normalized_scoring_defaults @@ -31,55 +30,38 @@ def _digest(directory): } -@pytest.fixture(scope='module') -def derived(fitted): - trainer, table, snapshot = fitted - original = _digest(trainer._training_result.bundle_dir) - probs = _frame(trainer, table, snapshot, - binary_classification_threshold=.5)['True_PROB'] - defaults = kumo.ScoringDefaults( - binary_classification_threshold=float(probs.median())) - return trainer.with_scoring_defaults(defaults), original +def _copy(trainer, destination): + shutil.copytree(trainer._training_result.bundle_dir, destination) + return destination -def test_binary_predict_uses_bundle_threshold_unless_explicit(fitted, derived): +def test_derived_bundle_thresholds_unless_explicit(fitted): trainer, table, snapshot = fitted - child, _ = derived - threshold = child.scoring_defaults.binary_classification_threshold - assert trainer.scoring_defaults == kumo.ScoringDefaults() + parent_dir = trainer._training_result.bundle_dir + original = _digest(parent_dir) + probs = _frame(trainer, table, snapshot, + binary_classification_threshold=.5)['True_PROB'] + threshold = float(probs.median()) + child = trainer.with_scoring_defaults( + kumo.ScoringDefaults(binary_classification_threshold=threshold)) implicit = _frame(child, table, snapshot) pd.testing.assert_frame_equal( implicit, _frame(trainer, table, snapshot, binary_classification_threshold=threshold)) - explicit = _frame(child, table, snapshot, - binary_classification_threshold=1.0) - assert not explicit['TARGET_PRED'].any() assert implicit['TARGET_PRED'].any() + assert not _frame(child, table, snapshot, + binary_classification_threshold=1.0)['TARGET_PRED'].any() - -def test_derived_bundle_is_a_new_child_of_an_untouched_parent(fitted, derived): - trainer, *_ = fitted - child, original = derived - parent_dir = trainer._training_result.bundle_dir assert _digest(parent_dir) == original - assert kumo.Trainer.load(parent_dir).bundle_id == trainer.bundle_id + assert trainer.scoring_defaults == kumo.ScoringDefaults() assert child.bundle_id != trainer.bundle_id assert child.provenance['parents'] == { **trainer.provenance['parents'], 'derived_from': trainer.bundle_id } - - -def test_empty_defaults_restore_the_no_defaults_bundle_id(fitted, derived): - trainer, *_ = fitted - child, _ = derived - for source in (trainer, child): - cleared = source.with_scoring_defaults(kumo.ScoringDefaults()) - assert cleared.bundle_id == trainer.bundle_id - assert cleared.scoring_defaults == kumo.ScoringDefaults() - assert not (cleared._training_result.bundle_dir / - 'scoring-defaults.json').exists() + cleared = child.with_scoring_defaults(kumo.ScoringDefaults()) + assert cleared.bundle_id == trainer.bundle_id def test_equal_defaults_give_equal_bundle_ids(fitted): @@ -87,153 +69,65 @@ def test_equal_defaults_give_equal_bundle_ids(fitted): children = [ trainer.with_scoring_defaults( kumo.ScoringDefaults(binary_classification_threshold=value)) - for value in (1, 1.0, np.float32(1)) + for value in (1, np.float32(1)) ] - assert {child.bundle_id for child in children} == {children[0].bundle_id} + assert children[0].bundle_id == children[1].bundle_id assert children[0].scoring_defaults.binary_classification_threshold == 1.0 -def test_derivation_without_parent_provenance_is_marked_reconstructed( - fitted, tmp_path): +def test_derivation_from_old_or_newer_provenance(fitted, tmp_path): trainer, *_ = fitted - bundle = tmp_path / 'old' - shutil.copytree(trainer._training_result.bundle_dir, bundle) - remove_bundle_file(bundle, 'provenance') - child = kumo.Trainer.load(bundle).with_scoring_defaults( - kumo.ScoringDefaults(binary_classification_threshold=.5)) - provenance = child.provenance - assert provenance['reconstructed'] is True - assert provenance['parents'] == {'derived_from': trainer.bundle_id} - - -def test_unreadable_parent_provenance_is_left_untouched(fitted, tmp_path): - trainer, *_ = fitted - bundle = tmp_path / 'newer' - shutil.copytree(trainer._training_result.bundle_dir, bundle) - newer = json.dumps({'schema_version': 999, 'parents': {}}) - (bundle / 'provenance.json').write_text(newer) - add_bundle_file(bundle, 'provenance', 'provenance.json') + defaults = kumo.ScoringDefaults(binary_classification_threshold=.5) + old = _copy(trainer, tmp_path / 'old') + remove_bundle_file(old, 'provenance') + child = kumo.Trainer.load(old).with_scoring_defaults(defaults) + assert child.provenance['reconstructed'] is True + assert child.provenance['parents'] == {'derived_from': trainer.bundle_id} + + newer = _copy(trainer, tmp_path / 'newer') + record = json.dumps({'schema_version': 999, 'parents': {}}) + (newer / 'provenance.json').write_text(record) + add_bundle_file(newer, 'provenance', 'provenance.json') with pytest.warns(UserWarning, match='left unchanged'): - child = kumo.Trainer.load(bundle).with_scoring_defaults( - kumo.ScoringDefaults(binary_classification_threshold=.5)) + child = kumo.Trainer.load(newer).with_scoring_defaults(defaults) assert (child._training_result.bundle_dir / - 'provenance.json').read_text() == newer + 'provenance.json').read_text() == record -def test_defaults_survive_export_and_connector_load(derived, tmp_path): - child, _ = derived +def test_defaults_survive_export_and_connector_load(fitted, tmp_path): + trainer, *_ = fitted + child = trainer.with_scoring_defaults( + kumo.ScoringDefaults(binary_classification_threshold=.4)) registry = kumo.FileConnector(root_dir=str(tmp_path)) - published = child.export(kumo.ModelOutputConfig(registry, path='m1')) - assert published is not None + child.export(kumo.ModelOutputConfig(registry, path='m1')) loaded = kumo.Trainer.load_from_connector(registry, path='m1') assert loaded.scoring_defaults == child.scoring_defaults assert loaded.bundle_id == child.bundle_id -@pytest.mark.parametrize('defaults, task_type, match', [ - (kumo.ScoringDefaults(binary_classification_threshold=1.5), - TaskType.BINARY_CLASSIFICATION, 'between 0 and 1'), - (kumo.ScoringDefaults(num_classes_to_return=3), - TaskType.BINARY_CLASSIFICATION, 'num_classes_to_return'), - (kumo.ScoringDefaults(binary_classification_threshold=.5), - TaskType.REGRESSION, 'only to binary and multilabel'), - (kumo.ScoringDefaults(num_classes_to_return=501), - TaskType.STATIC_LINK_PREDICTION, '500'), -]) -def test_invalid_defaults_raise(defaults, task_type, match): - with pytest.raises(ValueError, match=match): - normalized_scoring_defaults(defaults, task_type) - - -def test_multilabel_accepts_threshold_and_count_defaults(): - defaults = kumo.ScoringDefaults(binary_classification_threshold=.3, - num_classes_to_return=np.int64(2)) - assert normalized_scoring_defaults( - defaults, - TaskType.MULTILABEL_CLASSIFICATION) == kumo.ScoringDefaults(.3, 2) - - -def test_with_scoring_defaults_validates_against_the_bundle(fitted): +def test_defaults_are_validated_against_the_task(fitted): trainer, *_ = fitted with pytest.raises(ValueError, match='num_classes_to_return'): trainer.with_scoring_defaults( kumo.ScoringDefaults(num_classes_to_return=2)) with pytest.raises(RuntimeError, match='requires a prior'): kumo.Trainer(ModelPlan()).with_scoring_defaults(kumo.ScoringDefaults()) - with pytest.raises(RuntimeError, match='requires a prior'): - kumo.Trainer(ModelPlan()).export( - kumo.ModelOutputConfig(kumo.FileConnector(root_dir='.'), path='m')) + assert normalized_scoring_defaults( + kumo.ScoringDefaults(.3, np.int64(2)), + TaskType.MULTILABEL_CLASSIFICATION) == kumo.ScoringDefaults(.3, 2) -def test_bundle_without_listed_defaults_keeps_todays_behaviour( - fitted, tmp_path): +def test_unlisted_or_unreadable_defaults_are_ignored(fitted, tmp_path): trainer, table, snapshot = fitted - bundle = tmp_path / 'old' - shutil.copytree(trainer._training_result.bundle_dir, bundle) - (bundle / 'scoring-defaults.json').write_text( - json.dumps({'binary_classification_threshold': .5})) + bundle = _copy(trainer, tmp_path / 'old') + (bundle / 'scoring-defaults.json').write_text('not json') old = kumo.Trainer.load(bundle) assert old.scoring_defaults == kumo.ScoringDefaults() assert old.bundle_id == trainer.bundle_id - with pytest.raises(ValueError, match='must be specified'): - old.predict(table, snapshot=snapshot) - - for content in ('not json', json.dumps({'num_classes_to_return': 2})): - (bundle / 'scoring-defaults.json').write_text(content) - add_bundle_file(bundle, 'scoring_defaults', 'scoring-defaults.json') - with pytest.warns(UserWarning, match='Ignoring the scoring defaults'): - ignored = kumo.Trainer.load(bundle) - assert ignored.scoring_defaults == kumo.ScoringDefaults() + + add_bundle_file(bundle, 'scoring_defaults', 'scoring-defaults.json') + with pytest.warns(UserWarning, match='Ignoring the scoring defaults'): + ignored = kumo.Trainer.load(bundle) + assert ignored.scoring_defaults == kumo.ScoringDefaults() with pytest.raises(ValueError, match='must be specified'): ignored.predict(table, snapshot=snapshot) - - -def test_multilabel_count_default_yields_to_explicit_and_top_k(tmp_path): - previous = get_scratch_dir() - kumo.configure(scratch_dir=tmp_path / 'scratch') - try: - data = tmp_path / 'data' - data.mkdir() - pd.DataFrame({ - 'ID': - range(120), - 'VALUE': - np.arange(120) / 120, - 'TAGS': [['a', 'b'], ['b', 'c'], ['a', 'c']] * 33 + [['a', 'b']] + - [None] * 20, - }).to_parquet(data / 'users.parquet') - connector = kumo.FileConnector(root_dir=str(data)) - graph = kumo.Graph({ - 'users': - kumo.Table.from_source_table(connector['users'], primary_key='ID'), - }) - snapshot = graph.snapshot() - plan = ModelPlan() - plan.training_job.disable_explain = True - plan.optimization.max_epochs = 1 - plan.optimization.max_steps_per_epoch = 2 - plan.optimization.batch_size = [32] - plan.model_architecture.channels = [16] - trainer = kumo.Trainer(plan) - trainer.fit( - kumo.PredictiveQuery( - graph, 'PREDICT users.TAGS CLASSIFY TOP 3 FOR EACH users.ID'). - generate_training_table(snapshot), snapshot=snapshot) - child = trainer.with_scoring_defaults( - kumo.ScoringDefaults(num_classes_to_return=2)) - - def rows(model, query, **kwargs): - table = kumo.PredictiveQuery( - graph, query).generate_prediction_table(snapshot) - return model.predict(table, snapshot=snapshot, - **kwargs).frame.groupby('ENTITY').size() - - without_top = 'PREDICT users.TAGS CLASSIFY FOR EACH users.ID' - with_top = 'PREDICT users.TAGS CLASSIFY TOP 3 FOR EACH users.ID' - assert set(rows(child, without_top)) == {2} - assert set(rows(child, without_top, num_classes_to_return=1)) == {1} - assert set(rows(child, with_top)) == {3} - assert set(rows(trainer, without_top)) == set( - rows(child, without_top, num_classes_to_return=3)) - finally: - kumo.configure(scratch_dir=previous) From fe4ec2a9f50009102b6c8585db9183cd0714a5bb Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 18:21:29 +0000 Subject: [PATCH 107/123] Reuse bundle_task_type and write_manifest for scoring defaults The bundle's task type was read from prediction-schema.json in three places (scoring defaults, the trainer's warm-start check, kumo-core's warm-start resolver), and scoring-defaults.json had its own JSON writer. Add kumo_core.artifacts.bundle_task_type next to the bundle layout and use it everywhere; write the defaults with the engine manifest writer. Verified: test_scoring_defaults, test_bundle_provenance, test_warm_start, kumo-core test_artifacts and warm-start tests pass. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-core/src/kumo_core/artifacts.py | 12 ++++++++++++ .../kumo-core/src/kumo_core/automl/runtime.py | 5 +++-- packages/kumo-core/tests/test_artifacts.py | 8 ++++++++ .../kumo-engine/kumo/engine/trainer/_scoring.py | 16 ++++------------ .../kumo-engine/kumo/engine/trainer/trainer.py | 9 +++++---- 5 files changed, 32 insertions(+), 18 deletions(-) diff --git a/packages/kumo-core/src/kumo_core/artifacts.py b/packages/kumo-core/src/kumo_core/artifacts.py index c5b1eb8fc..a2910deaf 100644 --- a/packages/kumo-core/src/kumo_core/artifacts.py +++ b/packages/kumo-core/src/kumo_core/artifacts.py @@ -14,6 +14,7 @@ from dataclasses import dataclass, field from pathlib import Path from typing import ( + TYPE_CHECKING, Any, ClassVar, Iterable, @@ -26,6 +27,9 @@ from .io.json import load_json, save_json from .manifest import RunManifest, RunPaths +if TYPE_CHECKING: + from .types import TaskType + @runtime_checkable class ArtifactStore(Protocol): @@ -498,6 +502,14 @@ def resolve_vital_artifact_sources( } +def bundle_task_type(artifacts: Mapping[str, str]) -> TaskType: + """The task type a bundle's prediction schema records.""" + from .types import TaskType + + schema = load_json(artifacts['prediction_schema'], dict) + return TaskType(schema['task_type']) + + def stage_model_bundle(artifacts: Mapping[str, str], dest: Path) -> Path: r"""Copies a trained run's artifacts into the layout scoring expects. diff --git a/packages/kumo-core/src/kumo_core/automl/runtime.py b/packages/kumo-core/src/kumo_core/automl/runtime.py index 209680edf..880246456 100644 --- a/packages/kumo-core/src/kumo_core/automl/runtime.py +++ b/packages/kumo-core/src/kumo_core/automl/runtime.py @@ -196,9 +196,10 @@ def resolve_warm_start( encoders; they do not retain hosted AutoML directory layouts. """ if artifacts is not None: - source_schema = load_json(artifacts["prediction_schema"], dict) + from kumo_core.artifacts import bundle_task_type + validate_warm_start_task_type(task.task_type, - TaskType(source_schema["task_type"])) + bundle_task_type(artifacts)) checkpoint = artifacts["selected_checkpoint"] plan_path = artifacts["resolved_model_plan"] encoder_dir = posixpath.dirname(artifacts["encoders"]) diff --git a/packages/kumo-core/tests/test_artifacts.py b/packages/kumo-core/tests/test_artifacts.py index eadaf82e1..8d407c713 100644 --- a/packages/kumo-core/tests/test_artifacts.py +++ b/packages/kumo-core/tests/test_artifacts.py @@ -17,6 +17,7 @@ VitalArtifactSources, add_bundle_file, bundle_id_from_manifest, + bundle_task_type, resolve_vital_artifact_sources, verify_model_bundle, ) @@ -263,3 +264,10 @@ def test_bundle_id_ignores_provenance_only(tmp_path: Path) -> None: (bundle / "metrics.json").write_text('{"auc": 0}') add_bundle_file(bundle, "metrics", "metrics.json") assert verify_model_bundle(bundle) != bundle_id + + +def test_bundle_task_type_reads_the_prediction_schema(tmp_path: Path) -> None: + schema = tmp_path / "prediction-schema.json" + schema.write_text('{"task_type": "regression"}') + assert bundle_task_type({"prediction_schema": str(schema)}).value == ( + "regression") diff --git a/packages/kumo-engine/kumo/engine/trainer/_scoring.py b/packages/kumo-engine/kumo/engine/trainer/_scoring.py index ead3f9058..daa0d3e6f 100644 --- a/packages/kumo-engine/kumo/engine/trainer/_scoring.py +++ b/packages/kumo-engine/kumo/engine/trainer/_scoring.py @@ -10,7 +10,7 @@ from pathlib import Path from typing import Any, Mapping, Optional -from kumo.engine._manifest import atomic_write +from kumo.engine._manifest import write_manifest from kumo.engine.trainer._spec import SCORING_DEFAULTS_ROLE, listed_file SCORING_DEFAULTS_FILE = 'scoring-defaults.json' @@ -24,14 +24,6 @@ class ScoringDefaults: num_classes_to_return: Optional[int] = None -def bundle_task_type(artifact_paths: Mapping[str, str]) -> Any: - from kumo_core.types import TaskType - - schema = json.loads( - Path(artifact_paths['prediction_schema']).read_text(encoding='utf-8')) - return TaskType(schema['task_type']) - - def normalized_scoring_defaults(defaults: ScoringDefaults, task_type: Any) -> ScoringDefaults: from kumo_core.prediction_options import ( @@ -63,14 +55,14 @@ def write_scoring_defaults(bundle_dir: Path, defaults: ScoringDefaults) -> None: if defaults == ScoringDefaults(): remove_bundle_file(bundle_dir, SCORING_DEFAULTS_ROLE) return - atomic_write(bundle_dir / SCORING_DEFAULTS_FILE, - (json.dumps(asdict(defaults), indent=2, sort_keys=True) + - '\n').encode('utf-8')) + write_manifest(bundle_dir / SCORING_DEFAULTS_FILE, asdict(defaults)) add_bundle_file(bundle_dir, SCORING_DEFAULTS_ROLE, SCORING_DEFAULTS_FILE) def read_scoring_defaults(bundle_dir: Path, artifact_paths: Mapping[str, str]) -> ScoringDefaults: + from kumo_core.artifacts import bundle_task_type + path = listed_file(bundle_dir, SCORING_DEFAULTS_ROLE) if path is None: return ScoringDefaults() diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index d6a2f6b94..502d2e629 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -340,9 +340,10 @@ def _fitted(self, method: str) -> TrainingResult: def with_scoring_defaults(self, defaults: ScoringDefaults) -> Self: """Return a trainer on a copy of this bundle that carries ``defaults``.""" + from kumo_core.artifacts import bundle_task_type + from kumo.engine.trainer._provenance import record_derivation from kumo.engine.trainer._scoring import ( - bundle_task_type, normalized_scoring_defaults, write_scoring_defaults, ) @@ -510,11 +511,11 @@ def _fit( search=AutoMLSearchOptions(), ) if warm_start_artifacts is not None: - source_schema = json.loads( - Path(warm_start_artifacts['prediction_schema']).read_text()) + from kumo_core.artifacts import bundle_task_type + validate_warm_start_task_type( TaskType(workflow.query.task_type), - TaskType(source_schema['task_type']), + bundle_task_type(warm_start_artifacts), ) from kumo_core.pquery import ( query_is_temporal, From b8e8d9e817f19f5ffe18c0eb8af085cc5e4e113e Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 22:31:20 +0000 Subject: [PATCH 108/123] Record a derived bundle's own id in its provenance.json with_scoring_defaults copied the parent's provenance.json into the derived bundle, so its id named the parent. Set it to the derived bundle's own id (computed from the publication manifest, which excludes provenance.json). Verified with test_scoring_defaults.py and test_bundle_provenance.py. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/kumo/engine/trainer/_provenance.py | 7 ++++++- packages/kumo-engine/test/test_scoring_defaults.py | 3 +++ 2 files changed, 9 insertions(+), 1 deletion(-) diff --git a/packages/kumo-engine/kumo/engine/trainer/_provenance.py b/packages/kumo-engine/kumo/engine/trainer/_provenance.py index b6bbe0555..f66a07de3 100644 --- a/packages/kumo-engine/kumo/engine/trainer/_provenance.py +++ b/packages/kumo-engine/kumo/engine/trainer/_provenance.py @@ -73,7 +73,11 @@ def _training_table(train_table: TrainingTable) -> BundleTrainingTable: def record_derivation(bundle_dir: Path, parent_bundle_id: Optional[str]) -> None: - from kumo_core.artifacts import PROVENANCE_FILE, add_bundle_file + from kumo_core.artifacts import ( + PROVENANCE_FILE, + add_bundle_file, + bundle_id_from_manifest, + ) provenance = read_provenance(bundle_dir) if provenance is None: @@ -83,6 +87,7 @@ def record_derivation(bundle_dir: Path, parent_bundle_id: Optional[str]) -> None provenance = new_manifest('model_bundle', None, {}, created_at=None, environment=None, scheduler=None, reconstructed=True) + provenance['id'] = bundle_id_from_manifest(bundle_dir) provenance['parents'] = { **(provenance.get('parents') or {}), 'derived_from': parent_bundle_id } diff --git a/packages/kumo-engine/test/test_scoring_defaults.py b/packages/kumo-engine/test/test_scoring_defaults.py index dc2ea2e54..5cdbebf3a 100644 --- a/packages/kumo-engine/test/test_scoring_defaults.py +++ b/packages/kumo-engine/test/test_scoring_defaults.py @@ -57,6 +57,8 @@ def test_derived_bundle_thresholds_unless_explicit(fitted): assert _digest(parent_dir) == original assert trainer.scoring_defaults == kumo.ScoringDefaults() assert child.bundle_id != trainer.bundle_id + assert child.provenance['id'] == child.bundle_id + assert trainer.provenance['id'] == trainer.bundle_id assert child.provenance['parents'] == { **trainer.provenance['parents'], 'derived_from': trainer.bundle_id } @@ -82,6 +84,7 @@ def test_derivation_from_old_or_newer_provenance(fitted, tmp_path): remove_bundle_file(old, 'provenance') child = kumo.Trainer.load(old).with_scoring_defaults(defaults) assert child.provenance['reconstructed'] is True + assert child.provenance['id'] == child.bundle_id assert child.provenance['parents'] == {'derived_from': trainer.bundle_id} newer = _copy(trainer, tmp_path / 'newer') From 248091bb2766d769748638dcee26efdf72266bda Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Thu, 22 Oct 2026 18:55:49 +0000 Subject: [PATCH 109/123] Record bundle derivation on the provenance dataclass A derived bundle's parent now goes in BundleParents.derived_from, and a derived bundle whose parent had no provenance gets a reconstructed BundleProvenance that still writes only the fields it knows. Bundle fields absent from such a record are optional. write_manifest also takes the plain dict scoring-defaults.json is written from. Verified with test_scoring_defaults.py and test_bundle_provenance.py. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/README.md | 2 +- packages/kumo-engine/kumo/engine/_manifest.py | 36 ++++++++++++++----- .../kumo/engine/trainer/_provenance.py | 17 ++++----- .../kumo-engine/test/test_scoring_defaults.py | 22 +++++++----- 4 files changed, 52 insertions(+), 25 deletions(-) diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index 0cd00e2ef..8b3bab14c 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -257,7 +257,7 @@ tuned.export(ModelOutputConfig(registry, location=ModelRegistryLocation("CHURN_G ``` `with_scoring_defaults` returns a trainer on a copy with its own `bundle_id`; the copy's -`provenance["parents"]["derived_from"]` names the original. The threshold applies to +`provenance.parents.derived_from` names the original. The threshold applies to binary and multilabel classification, `num_classes_to_return` to multiclass, multilabel and link prediction. Explicit `predict` arguments and a query's `TOP k` win; `ScoringDefaults()` removes the defaults. `Trainer.export(config)` publishes a fitted or diff --git a/packages/kumo-engine/kumo/engine/_manifest.py b/packages/kumo-engine/kumo/engine/_manifest.py index 66da20154..5f9404bea 100644 --- a/packages/kumo-engine/kumo/engine/_manifest.py +++ b/packages/kumo-engine/kumo/engine/_manifest.py @@ -180,8 +180,9 @@ class TrainingTableManifest(Manifest): @dataclass(frozen=True, kw_only=True) class BundleParents(Record): - training_table: str - warm_start: Optional[str] + training_table: Optional[str] = None + warm_start: Optional[str] = None + derived_from: Optional[str] = omit_none() @dataclass(frozen=True, kw_only=True) @@ -220,16 +221,35 @@ def from_dict(cls, data: Mapping[str, Any]) -> Self: @dataclass(frozen=True, kw_only=True) class BundleProvenance(Manifest): + """A reconstructed record (a derived bundle whose parent had none) writes + only the fields it knows.""" + kind: str = 'model_bundle' parents: BundleParents - fit: FitTiming - training_table: BundleTrainingTable - source_tables: Optional[Dict[str, SourceTableEntry]] - fit_mode: Optional[str] + fit: Optional[FitTiming] = None + training_table: Optional[BundleTrainingTable] = None + source_tables: Optional[Dict[str, SourceTableEntry]] = None + fit_mode: Optional[str] = None + + def to_dict(self) -> Dict[str, Any]: + data = super().to_dict() + if not self.reconstructed: + return data + envelope = {item.name for item in fields(Manifest)} + parents = {k: v for k, v in data['parents'].items() if v is not None} + return { + **{ + k: v + for k, v in data.items() if v is not None or k in envelope + }, 'parents': parents + } -def write_manifest(path: Path, manifest: Manifest) -> None: - payload = json.dumps(manifest.to_dict(), indent=2, sort_keys=True) + '\n' +def write_manifest(path: Path, + manifest: Union[Record, Mapping[str, Any]]) -> None: + if isinstance(manifest, Record): + manifest = manifest.to_dict() + payload = json.dumps(manifest, indent=2, sort_keys=True) + '\n' atomic_write_bytes(path, payload.encode('utf-8')) diff --git a/packages/kumo-engine/kumo/engine/trainer/_provenance.py b/packages/kumo-engine/kumo/engine/trainer/_provenance.py index f66a07de3..ff84ca7a3 100644 --- a/packages/kumo-engine/kumo/engine/trainer/_provenance.py +++ b/packages/kumo-engine/kumo/engine/trainer/_provenance.py @@ -3,11 +3,13 @@ # SPDX-License-Identifier: Apache-2.0 """Fit record in ``provenance.json``; excluded from the bundle id.""" +from dataclasses import replace from datetime import datetime, timezone from pathlib import Path from typing import Dict, Optional from kumo.engine._manifest import ( + RECONSTRUCTED, BundleParents, BundleProvenance, BundleTrainingTable, @@ -84,14 +86,13 @@ def record_derivation(bundle_dir: Path, parent_bundle_id: Optional[str]) -> None if listed_file(bundle_dir, PROVENANCE_ROLE) is not None: raise ValueError('its provenance.json is unreadable or from a ' 'newer kumo-engine, so it is left unchanged') - provenance = new_manifest('model_bundle', None, {}, - created_at=None, environment=None, - scheduler=None, reconstructed=True) - provenance['id'] = bundle_id_from_manifest(bundle_dir) - provenance['parents'] = { - **(provenance.get('parents') or {}), 'derived_from': parent_bundle_id - } - write_manifest(bundle_dir / PROVENANCE_FILE, provenance) + provenance = BundleProvenance(id=None, parents=BundleParents(), + **RECONSTRUCTED) + write_manifest( + bundle_dir / PROVENANCE_FILE, + replace(provenance, id=bundle_id_from_manifest(bundle_dir), + parents=replace(provenance.parents, + derived_from=parent_bundle_id))) add_bundle_file(bundle_dir, PROVENANCE_ROLE, PROVENANCE_FILE) diff --git a/packages/kumo-engine/test/test_scoring_defaults.py b/packages/kumo-engine/test/test_scoring_defaults.py index 5cdbebf3a..1978a399a 100644 --- a/packages/kumo-engine/test/test_scoring_defaults.py +++ b/packages/kumo-engine/test/test_scoring_defaults.py @@ -5,6 +5,7 @@ import hashlib import json import shutil +from dataclasses import replace import numpy as np import pandas as pd @@ -57,11 +58,10 @@ def test_derived_bundle_thresholds_unless_explicit(fitted): assert _digest(parent_dir) == original assert trainer.scoring_defaults == kumo.ScoringDefaults() assert child.bundle_id != trainer.bundle_id - assert child.provenance['id'] == child.bundle_id - assert trainer.provenance['id'] == trainer.bundle_id - assert child.provenance['parents'] == { - **trainer.provenance['parents'], 'derived_from': trainer.bundle_id - } + assert child.provenance.id == child.bundle_id + assert trainer.provenance.id == trainer.bundle_id + assert child.provenance.parents == replace(trainer.provenance.parents, + derived_from=trainer.bundle_id) cleared = child.with_scoring_defaults(kumo.ScoringDefaults()) assert cleared.bundle_id == trainer.bundle_id @@ -83,9 +83,15 @@ def test_derivation_from_old_or_newer_provenance(fitted, tmp_path): old = _copy(trainer, tmp_path / 'old') remove_bundle_file(old, 'provenance') child = kumo.Trainer.load(old).with_scoring_defaults(defaults) - assert child.provenance['reconstructed'] is True - assert child.provenance['id'] == child.bundle_id - assert child.provenance['parents'] == {'derived_from': trainer.bundle_id} + assert child.provenance.reconstructed is True + assert child.provenance.id == child.bundle_id + recorded = json.loads( + (child._training_result.bundle_dir / 'provenance.json').read_text()) + assert recorded == { + 'kind': 'model_bundle', 'schema_version': 1, 'id': child.bundle_id, + 'parents': {'derived_from': trainer.bundle_id}, 'created_at': None, + 'environment': None, 'scheduler': None, 'reconstructed': True + } newer = _copy(trainer, tmp_path / 'newer') record = json.dumps({'schema_version': 999, 'parents': {}}) From c606defc7b6dbf56b3612e393d9fde894281d4ce Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 18:48:38 +0000 Subject: [PATCH 110/123] Accept trailing-slash directories when fetching Databricks models The Unity Catalog Files API lists directories as '.../1/model/', so the immediate-child check in _download rejected every real model bundle and Trainer.load_from_connector(DatabricksConnector, location=...) raised 'Invalid model artifact path returned by Databricks.' Strip the trailing slash before the check and the recursive download. The fake Files API in the registry tests now lists directories the same way, so every fetch test covers it. Verified: kumo-databricks test_registry and test_uc_registry pass. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-databricks/src/kumo_databricks/registry.py | 2 +- packages/kumo-databricks/tests/test_registry.py | 7 +++++-- 2 files changed, 6 insertions(+), 3 deletions(-) diff --git a/packages/kumo-databricks/src/kumo_databricks/registry.py b/packages/kumo-databricks/src/kumo_databricks/registry.py index d2d88de09..35ce1061d 100644 --- a/packages/kumo-databricks/src/kumo_databricks/registry.py +++ b/packages/kumo-databricks/src/kumo_databricks/registry.py @@ -200,7 +200,7 @@ def _bundle_metadata(bundle: Path) -> tuple[dict[str, str], dict[str, float]]: def _download(client: WorkspaceClient, remote: str, destination: Path) -> None: for entry in client.files.list_directory_contents(remote): # A server-provided path must stay an immediate child of this directory. - path = entry.path or '' + path = (entry.path or '').rstrip('/') prefix = remote + '/' child = path[len(prefix):] if path.startswith(prefix) else '' if not child or '/' in child or child in ('.', '..') or '\\' in child: diff --git a/packages/kumo-databricks/tests/test_registry.py b/packages/kumo-databricks/tests/test_registry.py index 050fcf18e..c560b11b7 100644 --- a/packages/kumo-databricks/tests/test_registry.py +++ b/packages/kumo-databricks/tests/test_registry.py @@ -207,8 +207,11 @@ def list_directory(self, path): if key.startswith(path + '/'): relative = key[len(path) + 1:] child = relative.split('/')[0] - children[child] = SimpleNamespace(path=path + '/' + child, - is_directory='/' in relative) + directory = '/' in relative + # The Files API lists directories with a trailing slash. + children[child] = SimpleNamespace( + path=f"{path}/{child}{'/' if directory else ''}", + is_directory=directory) return children.values() def download(self, path): From 0a07a2da9d8209d170b12bb5187d85a66f334d3b Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 19:13:03 +0000 Subject: [PATCH 111/123] Add model aliases and a bundle id pointer to model registries A version published to Snowflake or Databricks could not be loaded by a stable name, there was no way to promote one, and nothing on the version said which bundle it held. ModelRegistryLocation gains alias (exclusive with version): an export publishes, then points the alias at the new version (a failed alias step warns and returns the published model); a fetch loads the version the alias points at. kumo.engine.set_model_alias promotes explicitly through a new ModelAliasingSink protocol. Each version records the kumo_engine marker and kumo_bundle_id only (Snowflake version metrics, which keep the finite training metrics; Databricks version tags); provenance.json in the bundle holds the lineage. list_models and fetch_model return kumo_bundle_id, and load_from_connector warns when the fetched bundle differs from it. kumoapi.plugin shares the marker, check_model_alias and registry_lineage between the registries. Snowflake fetch accepts DEFAULT/FIRST/LAST; Trainer.export of a derived bundle publishes the child's bundle id. Verified: kumo-api test_plugin_registry, kumo-snowflake and kumo-databricks registry tests, test_trainer_registry and test_scoring_defaults pass. No live Snowflake or Databricks calls. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-api/kumoapi/plugin.py | 69 +++++++++- .../kumo-api/test/test_plugin_registry.py | 30 ++++ .../src/kumo_databricks/registry.py | 68 +++++++--- .../kumo-databricks/tests/test_registry.py | 58 +++++++- .../kumo-databricks/tests/test_uc_registry.py | 2 +- packages/kumo-engine/README.md | 34 ++++- packages/kumo-engine/kumo/engine/__init__.py | 2 + .../kumo/engine/trainer/__init__.py | 2 + .../kumo/engine/trainer/trainer.py | 61 +++++++-- .../kumo-engine/test/test_scoring_defaults.py | 14 ++ .../kumo-engine/test/test_trainer_registry.py | 103 +++++++++++++- .../src/kumo_snowflake/registry.py | 128 +++++++++++++++--- .../kumo-snowflake/tests/test_registry.py | 120 ++++++++++++++-- 13 files changed, 633 insertions(+), 58 deletions(-) create mode 100644 packages/kumo-api/test/test_plugin_registry.py diff --git a/packages/kumo-api/kumoapi/plugin.py b/packages/kumo-api/kumoapi/plugin.py index 2bb9dd998..d126b9e03 100644 --- a/packages/kumo-api/kumoapi/plugin.py +++ b/packages/kumo-api/kumoapi/plugin.py @@ -25,6 +25,7 @@ from typing import ( Any, Callable, + Dict, List, Mapping, Optional, @@ -41,9 +42,13 @@ from kumoapi.typing import Dtype __all__ = [ + 'BUNDLE_ID_KEY', + 'ENGINE_MARKER', + 'REGISTRY_KEY_PREFIX', 'ArtifactLocation', 'ArtifactSink', 'IngestResult', + 'ModelAliasingSink', 'ModelFetchingSink', 'ModelListingSink', 'ModelPublishingSink', @@ -54,8 +59,19 @@ 'SourceBackend', 'SourceConnector', 'SourceCredentials', + 'check_model_alias', + 'registry_lineage', ] +#: Prefix of the keys an engine export records in registry metadata. +REGISTRY_KEY_PREFIX = 'kumo_' +#: Registry metadata key marking a version as a Kumo engine bundle. +ENGINE_MARKER = 'kumo_engine' +#: Registry metadata key holding the version's bundle id; the bundle's own +#: provenance.json holds its lineage. +BUNDLE_ID_KEY = 'kumo_bundle_id' +_RESERVED_ALIASES = frozenset({'DEFAULT', 'FIRST', 'LAST'}) + @dataclass(frozen=True) class SourceCredentials: @@ -147,13 +163,16 @@ class ModelRegistryLocation: Args: model_name: Registry-local model name. version: Exact version to write or read. ``None`` lets the registry - assign the next one on export, and selects the latest on import. - An assigned version comes back on the export result. + assign the next one on export; on import it selects Snowflake's + default or Databricks' latest Kumo version. comment: Optional description recorded on the version. + alias: Set on the new version after export; on import, the version + it points at. Exclusive with :obj:`version`. """ model_name: str version: Optional[str] = None comment: Optional[str] = None + alias: Optional[str] = None def __post_init__(self) -> None: if (not isinstance(self.model_name, str) or not self.model_name @@ -164,6 +183,10 @@ def __post_init__(self) -> None: raise ValueError( 'version must be a non-empty version, or None to let the ' 'registry choose') + if self.alias is not None and (not self.alias + or self.version is not None): + raise ValueError('alias must be a non-empty alias, and is ' + 'mutually exclusive with version') @dataclass(frozen=True) @@ -687,7 +710,8 @@ def fetch_model( local_dir: Directory to place the bundle in. Created if absent. path: Source for a path-addressed target. location: A registry location. A version of ``None`` selects the - latest, which is resolved here and reported back. + registry's choice (see :class:`ModelRegistryLocation`), which + is resolved here and reported back. project_id: Authorizing project, where one applies. Returns: @@ -697,6 +721,45 @@ def fetch_model( ... +@runtime_checkable +class ModelAliasingSink(ArtifactSink, Protocol): + r"""A registry sink that sets aliases and fetches by + :attr:`ModelRegistryLocation.alias`.""" + def set_model_alias( + self, + connector: SourceConnector, + location: ModelRegistryLocation, + alias: str, + ) -> None: + r"""Points :obj:`alias` at ``location.version``, moving it if held.""" + ... + + +def check_model_alias(alias: str) -> None: + r"""Raises :class:`ValueError` unless every model registry can set + :obj:`alias`: non-empty, not a Snowflake system alias (``DEFAULT``, + ``FIRST``, ``LAST``) and not SageMaker's ``SageMakerLifecycle-``.""" + if not isinstance(alias, str) or not alias.strip(): + raise ValueError(f'A model alias must be a non-empty name, not ' + f'{alias!r}.') + if (alias.upper() in _RESERVED_ALIASES + or alias.lower().startswith('sagemakerlifecycle-')): + raise ValueError( + f'{alias!r} is reserved by a model registry; set it with the ' + f'registry directly (for DEFAULT: ALTER MODEL ... SET ' + f'DEFAULT_VERSION).') + + +def registry_lineage(recorded: Mapping[str, Any]) -> Dict[str, str]: + r"""The ``kumo_*`` entries of a version's registry metadata, such as + :data:`BUNDLE_ID_KEY`, as strings and without :data:`ENGINE_MARKER`.""" + return { + key: str(value) + for key, value in recorded.items() + if key.startswith(REGISTRY_KEY_PREFIX) and key != ENGINE_MARKER + } + + @runtime_checkable class ModelListingSink(ArtifactSink, Protocol): r"""A sink that can enumerate the models published through it. diff --git a/packages/kumo-api/test/test_plugin_registry.py b/packages/kumo-api/test/test_plugin_registry.py new file mode 100644 index 000000000..8885ba568 --- /dev/null +++ b/packages/kumo-api/test/test_plugin_registry.py @@ -0,0 +1,30 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. +# All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +import pytest + +from kumoapi.plugin import check_model_alias, registry_lineage + + +@pytest.mark.parametrize( + 'alias', ['', ' ', 'default', 'LAST', 'SageMakerLifecycle-prod', None]) +def test_check_model_alias_refuses_what_a_registry_reserves(alias): + with pytest.raises(ValueError): + check_model_alias(alias) + + +def test_check_model_alias_accepts_a_plain_name(): + check_model_alias('champion') + + +def test_registry_lineage_keeps_kumo_keys_as_strings(): + recorded = { + 'kumo_engine': '1', + 'kumo_bundle_id': 'b', + 'auc': 0.9, + 'kumo_seconds': 3 + } + assert registry_lineage(recorded) == { + 'kumo_bundle_id': 'b', + 'kumo_seconds': '3' + } diff --git a/packages/kumo-databricks/src/kumo_databricks/registry.py b/packages/kumo-databricks/src/kumo_databricks/registry.py index 35ce1061d..05a50f4a7 100644 --- a/packages/kumo-databricks/src/kumo_databricks/registry.py +++ b/packages/kumo-databricks/src/kumo_databricks/registry.py @@ -10,7 +10,6 @@ import os import shutil import tempfile -from dataclasses import replace from pathlib import Path from typing import Any, Iterator, Mapping, Optional, cast from urllib.parse import quote @@ -20,12 +19,15 @@ from kumo_databricks.session import _DatabricksSessions, _target_config from kumo_databricks.sql import normalize_table_coordinate from kumoapi.plugin import ( + BUNDLE_ID_KEY, + ENGINE_MARKER, ModelRegistryLocation, PublishedModel, SourceConnector, + check_model_alias, + registry_lineage, ) -_ENGINE_MARKER = 'kumo_engine' _MODELS = '/api/2.1/unity-catalog/models' _LOG = logging.getLogger(__name__) @@ -56,6 +58,17 @@ def _tags(version: Mapping[str, Any]) -> dict[str, str]: return {tag['key']: tag['value'] for tag in version.get('tags', [])} +def _alias_path(name: str, alias: str) -> str: + return f'{_MODELS}/{quote(name, safe="")}/aliases/{quote(alias, safe="")}' + + +def _version_number(location: ModelRegistryLocation) -> Optional[int]: + version = location.version + if version is not None and (not version.isdecimal() or int(version) < 1): + raise ValueError('Databricks model versions are positive integers.') + return None if version is None else int(version) + + def _published( name: str, version: Mapping[str, Any], @@ -133,7 +146,9 @@ def publish_bundle( verify_model_bundle(root) _validate_catalog(dict(metadata=dict(metadata), metrics=dict(metrics))) catalog_name, schema, model = name.split('.') - tags = {_ENGINE_MARKER: '1'} + tags = {ENGINE_MARKER: '1'} + if metadata.get(BUNDLE_ID_KEY): + tags[BUNDLE_ID_KEY] = str(metadata[BUNDLE_ID_KEY]) try: client.registered_models.create(catalog_name=catalog_name, schema_name=schema, name=model) @@ -219,13 +234,18 @@ def _download(client: WorkspaceClient, remote: str, destination: Path) -> None: def fetch_bundle(client: WorkspaceClient, name: str, local_dir: Path, *, - version: Optional[str] = None) -> PublishedModel: + version: Optional[str] = None, + alias: Optional[str] = None) -> PublishedModel: from kumo_core.artifacts import verify_model_bundle - if version is None: + if alias is not None: + aliased = cast(dict[str, Any], + client.api_client.do('GET', _alias_path(name, alias))) + model_version = _get_version(client, name, aliased['version']) + elif version is None: versions = [ v for v in _versions(client, name) if v.get('status') == 'READY' - and _tags(v).get(_ENGINE_MARKER) == '1' + and _tags(v).get(ENGINE_MARKER) == '1' ] if not versions: raise ValueError('No ready Kumo model version in this registry.') @@ -233,7 +253,7 @@ def fetch_bundle(client: WorkspaceClient, name: str, local_dir: Path, *, else: model_version = _get_version(client, name, version) if model_version.get('status') != 'READY' or _tags(model_version).get( - _ENGINE_MARKER) != '1': + ENGINE_MARKER) != '1': raise ValueError('This version is not a ready Kumo model bundle.') destination = local_dir destination.parent.mkdir(parents=True, exist_ok=True) @@ -251,9 +271,12 @@ def fetch_bundle(client: WorkspaceClient, name: str, local_dir: Path, *, 'The registered model must contain one Kumo bundle.') bundle = bundles[0] verify_model_bundle(bundle) - published = _published(name, model_version) metadata, metrics = _bundle_metadata(bundle) - published = replace(published, metadata=metadata, metrics=metrics) + published = _published( + name, model_version, metadata={ + **metadata, + **registry_lineage(_tags(model_version)) + }, metrics=metrics) backup = Path(tmp) / 'previous' if destination.exists(): os.replace(destination, backup) @@ -277,8 +300,10 @@ def list_models(client: WorkspaceClient, catalog: str, continue for version in _versions(client, name): if version.get('status') == 'READY' and _tags(version).get( - _ENGINE_MARKER) == '1': - found.append(_published(name, version)) + ENGINE_MARKER) == '1': + found.append( + _published(name, version, + metadata=registry_lineage(_tags(version)))) return sorted(found, key=lambda item: (item.name, int(item.version))) @@ -321,15 +346,26 @@ def fetch_model( location: Optional[ModelRegistryLocation] = None, project_id: Optional[str] = None, ) -> PublishedModel: - """Download the named version, or the latest ready Kumo version.""" + """Download the named or aliased version, else the latest Kumo one.""" del project_id name = _address(connector, path, location) assert location is not None - if location.version is not None and (not location.version.isdecimal() - or int(location.version) < 1): - raise ValueError('Databricks model versions are positive integers.') + _version_number(location) return fetch_bundle(self._client(connector), name, - Path(local_dir).resolve(), version=location.version) + Path(local_dir).resolve(), version=location.version, + alias=getattr(location, 'alias', None)) + + def set_model_alias(self, connector: SourceConnector, + location: ModelRegistryLocation, alias: str) -> None: + """Point an alias at a version; UC moves it from any other.""" + name = _address(connector, None, location) + number = _version_number(location) + if number is None: + raise ValueError('Setting an alias needs a ModelRegistryLocation ' + 'naming a version.') + check_model_alias(alias) + self._client(connector).api_client.do('PUT', _alias_path(name, alias), + body=dict(version_num=number)) def list_models(self, connector: SourceConnector, *, project_id: Optional[str] = None) -> list[PublishedModel]: diff --git a/packages/kumo-databricks/tests/test_registry.py b/packages/kumo-databricks/tests/test_registry.py index c560b11b7..4e4c8cee4 100644 --- a/packages/kumo-databricks/tests/test_registry.py +++ b/packages/kumo-databricks/tests/test_registry.py @@ -15,6 +15,8 @@ from kumo_databricks.sink import DatabricksSinkBackend from kumoapi.data_source import DatabricksConnectorResourceConfig from kumoapi.plugin import ( + ENGINE_MARKER, + ModelAliasingSink, ModelFetchingSink, ModelListingSink, ModelPublishingSink, @@ -61,6 +63,7 @@ def test_sink_implements_registry_protocols(): assert isinstance(sink, ModelPublishingSink) assert isinstance(sink, ModelFetchingSink) assert isinstance(sink, ModelListingSink) + assert isinstance(sink, ModelAliasingSink) def test_publish_uses_connector_client_and_reports_assigned_version( @@ -141,7 +144,7 @@ def test_invalid_fetch_version_fails_before_authentication( def version(number, kumo=True, status='READY'): - tags = {registry._ENGINE_MARKER: '1'} if kumo else {} + tags = {ENGINE_MARKER: '1'} if kumo else {} return dict(version=number, status=status, tags=[dict(key=k, value=v) for k, v in tags.items()]) @@ -155,6 +158,7 @@ def __init__(self): upload=self.upload, list_directory_contents=self.list_directory, download=self.download) self.objects = {} + self.aliases = {} self.calls = [] self.deleted = [] self.versions = [ @@ -173,6 +177,12 @@ def delete(self, name, number): def do(self, method, path, query=None, body=None): self.calls.append((method, path, query, body)) + if '/aliases/' in path: + alias = path.rsplit('/', 1)[-1] + if method == 'PUT': + self.aliases[alias] = body['version_num'] + return {} + return dict(version=self.aliases[alias]) if method == 'POST': assert all(len(tag['value']) <= 256 for tag in body['tags']) self.versions.append( @@ -488,3 +498,49 @@ def test_invalid_bundle_metadata_keeps_destination(client, bundle, tmp_path, registry.fetch_bundle(client, name='main.analytics.churn', local_dir=destination, version='7') assert (destination / 'weights.bin').read_bytes() == b'previous' + + +def test_bundle_id_is_tagged_listed_and_fetched_by_version_and_alias( + connector, client, bundle, tmp_path, monkeypatch): + lineage = dict(kumo_bundle_id='ab' * 32) + sink = DatabricksSinkBackend() + monkeypatch.setattr(sink, '_client', lambda _: client) + published = sink.publish_model( + connector, str(bundle), location=ModelRegistryLocation('churn'), + metadata=dict(spec_version='1', kumo_engine='0', kumo_run_id='run-1', + **lineage)) + assert registry._tags(client.versions[-1]) == { + 'kumo_engine': '1', + **lineage + } + listed = registry.list_models(client, catalog='main', schema='analytics') + assert next(m for m in listed if m.version == '7').metadata == lineage + + sink.set_model_alias( + connector, ModelRegistryLocation('churn', version=published.version), + 'prod') + assert client.calls[-1] == ( + 'PUT', + '/api/2.1/unity-catalog/models/main.analytics.churn/aliases/prod', None, + dict(version_num=7)) + for location in (ModelRegistryLocation('churn', version='7'), + ModelRegistryLocation('churn', alias='prod')): + fetched = sink.fetch_model(connector, str(tmp_path / 'restored'), + location=location) + assert fetched.version == '7' + assert fetched.metadata == { + 'spec_version': '1', + 'predictive_query': 'PREDICT COUNT(*)', + 'snapshot_id': 'snapshot', + **lineage + } + + +def test_set_alias_needs_a_positive_version(connector, monkeypatch): + sink = DatabricksSinkBackend() + monkeypatch.setattr(sink, '_client', + lambda _: pytest.fail('resolved identity')) + with pytest.raises(ValueError, match='positive integer'): + sink.set_model_alias(connector, + ModelRegistryLocation('churn', version='0'), + 'prod') diff --git a/packages/kumo-databricks/tests/test_uc_registry.py b/packages/kumo-databricks/tests/test_uc_registry.py index 8866cf80f..8acca5647 100644 --- a/packages/kumo-databricks/tests/test_uc_registry.py +++ b/packages/kumo-databricks/tests/test_uc_registry.py @@ -76,7 +76,7 @@ def handle_request(self): return self.send(dict(registered_models=[model])) if path.endswith('/models/versions') and self.command == 'POST': assert payload['source'].startswith('file:') - assert payload['tags'] == [{'key': 'kumo_engine', 'value': '1'}] + assert {'key': 'kumo_engine', 'value': '1'} in payload['tags'] versions[identity] = dict(version=1, status='PENDING_REGISTRATION', tags=payload['tags']) diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index 8b3bab14c..a18501889 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -563,7 +563,7 @@ restored = Trainer.load(result.bundle_dir) # pass the recorded path For an exported model, use `Trainer.load_from_connector(connector, path="model/version")`, or -`location=ModelRegistryLocation(...)` for Snowflake Model Registry. A scoring +`location=ModelRegistryLocation(...)` for Snowflake or Databricks. A scoring job with `Graph` code rebuilds the live graph and snapshot; one without loads an exported snapshot with `GraphSnapshot.load_from_connector(...)` and calls `trainer.predict_snapshot(snapshot)`. Bundles contain trained artifacts, not @@ -587,6 +587,38 @@ restored = Trainer.load_from_connector(snowflake, location=ModelRegistryLocation S3, GCS, and file connectors expose the published path or URI in the same result. +### Publish and promote + +Snowflake Model Registry and Databricks Unity Catalog connectors support aliases: + +```python +from kumo.engine import ModelOutputConfig, ModelRegistryLocation, set_model_alias + +result = trainer.fit(training_table, snapshot=snapshot, export_config=ModelOutputConfig( + registry, location=ModelRegistryLocation("CHURN_GNN", alias="challenger"))) +published = result.published_model + +# Promote: the alias moves from any version that held it. +set_model_alias(registry, ModelRegistryLocation( + published.name, version=published.version), "prod") + +# Scoring jobs load whichever version "prod" points at. +trainer = Trainer.load_from_connector(registry, location=ModelRegistryLocation( + "CHURN_GNN", alias="prod")) +``` + +An export alias is set after publishing; if that fails, `fit()` warns and still +returns the published model. Snowflake allows one alias per version and reserves +`DEFAULT`, `FIRST` and `LAST`, which can be loaded but not set. File, S3 and GCS +connectors have no aliases. + +Each published version records only pointers: the `kumo_engine` marker and +`kumo_bundle_id` (Snowflake version metrics, which also hold the training +metrics; Databricks version tags). The bundle's own `provenance.json` holds its +lineage. `list_models` and `fetch_model` return `kumo_bundle_id` in +`PublishedModel.metadata`; `load_from_connector` +warns if the fetched bundle differs from the recorded `kumo_bundle_id`. + ## Prediction and embedding destinations Request both artifacts with separate destinations. Mapping keys select which diff --git a/packages/kumo-engine/kumo/engine/__init__.py b/packages/kumo-engine/kumo/engine/__init__.py index 1b3fb4981..e220174b7 100644 --- a/packages/kumo-engine/kumo/engine/__init__.py +++ b/packages/kumo-engine/kumo/engine/__init__.py @@ -56,6 +56,7 @@ Trainer, TrainingResult, TrainingTableOutputConfig, + set_model_alias, ) __all__ = [ @@ -96,6 +97,7 @@ "ModelOutputConfig", "PredictionOutputConfig", "TrainingTableOutputConfig", + "set_model_alias", ] ensure_nofile() diff --git a/packages/kumo-engine/kumo/engine/trainer/__init__.py b/packages/kumo-engine/kumo/engine/trainer/__init__.py index 440d02dc1..b768c814c 100644 --- a/packages/kumo-engine/kumo/engine/trainer/__init__.py +++ b/packages/kumo-engine/kumo/engine/trainer/__init__.py @@ -12,6 +12,7 @@ PredictionResult, Trainer, TrainingResult, + set_model_alias, ) __all__ = [ @@ -22,4 +23,5 @@ "ModelOutputConfig", "PredictionOutputConfig", "TrainingTableOutputConfig", + "set_model_alias", ] diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index 502d2e629..ade979443 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -32,6 +32,8 @@ from kumo_core.types import ExplainMethod, PredictionArtifactType from kumoapi.model_plan import ModelPlan, TrainingTableGenerationPlan from kumoapi.plugin import ( + BUNDLE_ID_KEY, + ModelAliasingSink, ModelFetchingSink, ModelRegistryLocation, PublishedModel, @@ -246,17 +248,34 @@ def _require_publisher(export_config: ModelOutputConfig) -> None: def _publish(training_result: TrainingResult, export_config: ModelOutputConfig) -> PublishedModel: spec = read_training_spec(training_result.bundle_dir) - return export_config.connector.sink_backend.publish_model( + metadata = { + name: str(getattr(spec, name)) + for name in ('spec_version', 'predictive_query', 'snapshot_id') + } + if training_result.bundle_id: + metadata[BUNDLE_ID_KEY] = training_result.bundle_id + location = export_config.location + alias = location.alias if location else None + if location and alias: + location = replace(location, alias=None) + published = export_config.connector.sink_backend.publish_model( export_config.connector, str(training_result.bundle_dir), path=export_config.path, - location=export_config.location, - metadata={ - name: str(getattr(spec, name)) - for name in ('spec_version', 'predictive_query', 'snapshot_id') - }, + location=location, + metadata=metadata, metrics=training_result.metrics, ) + if location and alias: + try: + set_model_alias(export_config.connector, + replace(location, version=published.version), + alias) + except Exception as error: + warnings.warn( + f"Published {published.name} version {published.version} " + f"without alias {alias}: {error}", UserWarning, stacklevel=4) + return published def _stage_model_bundle(artifacts: Mapping[str, str], dest: Path) -> Path: @@ -1004,9 +1023,23 @@ def load_from_connector( if not isinstance(sink, ModelFetchingSink): raise TypeError( 'model_registry.sink_backend must implement ModelFetchingSink') - sink.fetch_model(cast(SourceConnector, model_registry), str(bundle_dir), - path=address.path, location=address.location) - return cls._load_bundle(bundle_dir, embedding_models) + alias = None if location is None else location.alias + if alias is not None and not isinstance(sink, ModelAliasingSink): + raise NotImplementedError( + f'{type(model_registry).__name__} cannot fetch models by ' + f'alias') + published = sink.fetch_model(cast(SourceConnector, model_registry), + str(bundle_dir), path=address.path, + location=address.location) + trainer = cls._load_bundle(bundle_dir, embedding_models) + recorded = (getattr(published, 'metadata', None) + or {}).get(BUNDLE_ID_KEY) + if recorded and trainer.bundle_id and recorded != trainer.bundle_id: + warnings.warn( + f"The registry records bundle {recorded} for this version, " + f"but the fetched bundle is {trainer.bundle_id}.", UserWarning, + stacklevel=2) + return trainer @classmethod def _load_bundle( @@ -1031,3 +1064,13 @@ def _load_bundle( bundle_id=bundle_id) trainer._scoring_defaults = read_scoring_defaults(bundle_dir, paths) return trainer + + +def set_model_alias(connector: Connector, location: ModelRegistryLocation, + alias: str) -> None: + """Point a registry alias at ``location``'s exact version.""" + sink = connector.sink_backend + if not isinstance(sink, ModelAliasingSink): + raise NotImplementedError( + f'{type(connector).__name__} cannot set model aliases') + sink.set_model_alias(cast(SourceConnector, connector), location, alias) diff --git a/packages/kumo-engine/test/test_scoring_defaults.py b/packages/kumo-engine/test/test_scoring_defaults.py index 1978a399a..dd764e2f3 100644 --- a/packages/kumo-engine/test/test_scoring_defaults.py +++ b/packages/kumo-engine/test/test_scoring_defaults.py @@ -6,6 +6,7 @@ import json import shutil from dataclasses import replace +from types import SimpleNamespace import numpy as np import pandas as pd @@ -13,6 +14,7 @@ from kumo_core.artifacts import add_bundle_file, remove_bundle_file from kumo_core.types import TaskType from kumoapi.model_plan import ModelPlan +from kumoapi.plugin import PublishedModel import kumo.engine as kumo from kumo.engine.trainer._scoring import normalized_scoring_defaults @@ -114,6 +116,18 @@ def test_defaults_survive_export_and_connector_load(fitted, tmp_path): assert loaded.bundle_id == child.bundle_id +def test_derived_export_publishes_the_child_bundle_id(fitted): + trainer, *_ = fitted + child = trainer.with_scoring_defaults( + kumo.ScoringDefaults(binary_classification_threshold=.4)) + calls = [] + sink = SimpleNamespace(publish_model=lambda *a, **k: calls.append(k) or + PublishedModel(name='m', version='1', uri='u')) + child.export( + kumo.ModelOutputConfig(SimpleNamespace(sink_backend=sink), path='m')) + assert calls[0]['metadata']['kumo_bundle_id'] == child.bundle_id + + def test_defaults_are_validated_against_the_task(fitted): trainer, *_ = fitted with pytest.raises(ValueError, match='num_classes_to_return'): diff --git a/packages/kumo-engine/test/test_trainer_registry.py b/packages/kumo-engine/test/test_trainer_registry.py index 789dd0315..0de7e3137 100644 --- a/packages/kumo-engine/test/test_trainer_registry.py +++ b/packages/kumo-engine/test/test_trainer_registry.py @@ -238,7 +238,11 @@ def test_finish_fit_forwards_publication_details_and_returns_assigned_version( class Sink: def publish_model(self, connector, bundle_dir, **kwargs): spec = json.loads((Path(bundle_dir) / SPEC_FILE).read_text()) - assert kwargs['metadata'] == { + assert { + key: value + for key, value in kwargs['metadata'].items() + if not key.startswith('kumo_') + } == { name: str(spec[name]) for name in ('spec_version', 'predictive_query', 'snapshot_id') } @@ -258,6 +262,7 @@ def publish_model(self, connector, bundle_dir, **kwargs): assert calls[0][2]['path'] == path assert calls[0][2]['location'] == location assert calls[0][2]['metrics'] == {'val_auroc': .9} + assert calls[0][2]['metadata']['kumo_bundle_id'] == result.bundle_id assert result.published_model is published assert result.metrics == original.metrics assert result.bundle_dir == bundle @@ -567,3 +572,99 @@ def fake_predict(**kwargs) -> None: binary_classification_threshold=.5) assert result.frame['TARGET_PRED'].tolist() == [True] + + +def _export(sink, bundle, location=None, artifact_paths=None): + return Trainer(ModelPlan())._finish_fit( + TrainingResult({}, artifact_paths or {}, + bundle), predictive_query='PREDICT COUNT(*)', + snapshot_id='snap-123', training_table_generation=_generation_plan(), + export_config=SimpleNamespace( + connector=SimpleNamespace(sink_backend=sink), + path=None if location else 'm', location=location)) + + +def _recording_sink(calls): + return SimpleNamespace(publish_model=lambda *a, **k: calls.append(k) or + PublishedModel(name='m', version='1', uri='u')) + + +def test_publish_records_only_the_bundle_id_pointer(tmp_path: Path) -> None: + calls = [] + result = _export(_recording_sink(calls), _fake_published_bundle(tmp_path)) + assert {k: v + for k, v in calls[0]['metadata'].items() + if k.startswith('kumo_')} == {'kumo_bundle_id': result.bundle_id} + + +class _AliasingSink(_FakeSink): + def __init__(self, recorded: Optional[str] = None, + fail: bool = False) -> None: + super().__init__() + self.recorded = recorded + self.fail = fail + self.aliases: dict = {} + + def set_model_alias(self, connector, location, alias) -> None: + if self.fail: + raise RuntimeError('registry unavailable') + self.aliases[alias] = location.version + + def fetch_model(self, connector, local_dir, **kwargs) -> PublishedModel: + shutil.copytree(self.published['CHURN_GNN@latest'], local_dir, + dirs_exist_ok=True) + return PublishedModel(name='CHURN_GNN', version='V1', uri='fake://', + metadata={'kumo_bundle_id': self.recorded}) + + +@pytest.mark.parametrize('sink,warning', [ + (_AliasingSink(), None), + (_AliasingSink(fail=True), 'registry unavailable'), + (_FakeSink(), 'cannot set model aliases'), +]) +def test_export_with_alias_publishes_then_sets_it_best_effort( + tmp_path: Path, sink, warning) -> None: + import warnings + + with warnings.catch_warnings(record=True) as caught: + warnings.simplefilter('always') + result = _export(sink, _fake_published_bundle(tmp_path), + ModelRegistryLocation('CHURN_GNN', alias='prod')) + assert result.published_model.version == 'V1' + assert list(sink.published) == ['CHURN_GNN@latest'] + messages = [str(w.message) for w in caught if 'alias' in str(w.message)] + if warning is None: + assert sink.aliases == {'prod': 'V1'} and messages == [] + else: + assert len(messages) == 1 and warning in messages[0] + + +def test_load_by_alias_warns_on_recorded_bundle_mismatch( + tmp_path: Path) -> None: + bundle = _fake_published_bundle(tmp_path) + write_training_spec(bundle, predictive_query='PREDICT COUNT(*)', + model_plan=ModelPlan(), snapshot_id='snap-123', + training_table_generation=_generation_plan()) + sink = _AliasingSink('other') + sink.publish_model(None, str(bundle), + location=ModelRegistryLocation('CHURN_GNN')) + with pytest.warns(UserWarning, match='registry records bundle other'): + loaded = Trainer.load_from_connector( + _FakeConnector(sink), + location=ModelRegistryLocation('CHURN_GNN', alias='prod')) + assert loaded.bundle_id == Trainer.load(bundle).bundle_id + + +def test_alias_needs_an_aliasing_sink() -> None: + from kumo.engine import set_model_alias + + connector = _FakeConnector(_FakeSink()) + with pytest.raises(NotImplementedError, match='alias'): + Trainer.load_from_connector( + connector, location=ModelRegistryLocation('m', alias='prod')) + with pytest.raises(NotImplementedError, match='alias'): + set_model_alias(connector, ModelRegistryLocation('m', version='1'), + 'prod') + for kwargs in (dict(alias='prod', version='3'), dict(alias='')): + with pytest.raises(ValueError, match='alias'): + ModelRegistryLocation('m', **kwargs) diff --git a/packages/kumo-snowflake/src/kumo_snowflake/registry.py b/packages/kumo-snowflake/src/kumo_snowflake/registry.py index fd220653e..93a4c892a 100644 --- a/packages/kumo-snowflake/src/kumo_snowflake/registry.py +++ b/packages/kumo-snowflake/src/kumo_snowflake/registry.py @@ -33,11 +33,14 @@ """ import json +import logging +import math import shutil from contextlib import contextmanager from pathlib import Path from typing import ( TYPE_CHECKING, + Any, ContextManager, Dict, Iterator, @@ -53,9 +56,13 @@ resolved, ) from kumoapi.plugin import ( + BUNDLE_ID_KEY, + ENGINE_MARKER, ModelRegistryLocation, PublishedModel, SourceConnector, + check_model_alias, + registry_lineage, ) if TYPE_CHECKING: @@ -74,8 +81,10 @@ #: merely happens to be named alike. _MANIFEST_FILE = 'publication-manifest.json' -#: Engine-bundle marker stored through the registry metadata API. -_ENGINE_MARKER = 'kumo_engine' +_METRICS_LIMIT = 100_000 +_SYSTEM_ALIASES = frozenset({'DEFAULT', 'FIRST', 'LAST'}) + +_LOG = logging.getLogger(__name__) #: Where a fetched version is unpacked before its bundle is lifted out. Named #: rather than a temporary directory so a half-finished import leaves something @@ -209,6 +218,40 @@ def _refuse_path(path: Optional[str], action: str) -> None: f'a path.') +def _version_record(metadata: Mapping[str, str], + metrics: Mapping[str, float]) -> Dict[str, Any]: + record: Dict[str, Any] = { + name: value + for name, value in metrics.items() + if isinstance(value, (int, float)) and math.isfinite(value) + } + pointers = {ENGINE_MARKER: '1'} + if metadata.get(BUNDLE_ID_KEY): + pointers[BUNDLE_ID_KEY] = str(metadata[BUNDLE_ID_KEY]) + record.update(pointers) + if len(json.dumps(record)) > _METRICS_LIMIT: + _LOG.warning('Training metrics exceed the registry metadata limit ' + 'and are recorded only in the bundle.') + return pointers + return record + + +def _recorded_lineage(version: "ModelVersion") -> Dict[str, str]: + try: + return registry_lineage(dict(version.show_metrics() or {})) + except Exception as error: + _LOG.warning('Could not read registry metadata: %s', error) + return {} + + +def _alias_holders(model: Any) -> Dict[str, str]: + holders = {} + for row in model.show_versions().to_dict('records'): + for alias in json.loads(row.get('aliases') or '[]'): + holders[alias] = str(row['name']) + return holders + + class SnowflakeModelRegistryMixin: r"""The model half of :class:`SnowflakeSinkBackend`. @@ -267,10 +310,10 @@ def publish_model( the model, and optionally the version. A version of ``None`` lets the registry assign one -- the usual case, and the reason this reports back what it created. - metadata: Returned with the publication result. Training metadata - remains in the bundle and is not recorded in registry tags. - metrics: Returned with the publication result. Training metrics - remain in the bundle's metrics.json. + metadata: Returned with the publication result; its + ``kumo_bundle_id`` is also recorded in the version's metrics. + metrics: Returned with the publication result, and recorded in + the version's metrics when finite. project_id: Ignored; a local runtime has no projects. Returns: @@ -288,13 +331,14 @@ def publish_model( f"{bundle} does not look like a published model bundle: it " f"has no {_SPEC_FILE}, which an export writes into every one.") + record = _version_record(metadata, metrics) with self._registry(connector) as registry: version = registry.log_model( _bundle_model(str(bundle)), model_name=location.model_name, version_name=location.version, comment=location.comment, - metrics={_ENGINE_MARKER: '1'}, + metrics=record, signatures=_carrier_signature(), ) return _published(connector, version, metadata=metadata, @@ -308,10 +352,11 @@ def list_models( ) -> List[PublishedModel]: r"""Lists Kumo model versions visible in the connector's registry. - A Kumo export records only ``kumo_engine=1`` in registry metadata. + A Kumo export records ``kumo_engine=1`` in registry metadata. That marker makes discovery both cheap and precise: versions logged by another tool are omitted, and no bundle is downloaded merely to decide whether it belongs in this list. + ``metadata`` carries the recorded ``kumo_bundle_id``. """ del project_id found: List[PublishedModel] = [] @@ -319,9 +364,11 @@ def list_models( for model in registry.models(): for version in model.versions(): recorded = dict(version.show_metrics() or {}) - if recorded.get(_ENGINE_MARKER) != '1': + if recorded.get(ENGINE_MARKER) != '1': continue - found.append(_published(connector, version)) + found.append( + _published(connector, version, + metadata=registry_lineage(recorded))) return sorted(found, key=lambda item: (item.name, item.version)) def fetch_model( @@ -345,14 +392,15 @@ def fetch_model( though the caller always hands this a fresh, empty ``mkdtemp``. path: Refused, as in :meth:`publish_model`. - location: The model, and optionally the version. ``None`` takes the - registry's default version, which is what a caller who names - none means. + location: The model, and optionally the version or an alias. With + neither, takes the registry's default version, which is what a + caller who names none means. project_id: Ignored. Returns: The name, the version actually read -- resolved, when the caller - named none -- where it lives, and metrics read from metrics.json. + named none -- where it lives, metrics read from metrics.json, and + the version's recorded ``kumo_bundle_id`` as ``metadata``. """ del project_id _refuse_path(path, 'fetching') @@ -366,8 +414,18 @@ def fetch_model( # Resolved before anything on disk is touched: a name the registry # does not know must not cost the caller the bundle already there. model = registry.get_model(location.model_name) - version = (model.default if location.version is None else - model.version(location.version)) + alias = getattr(location, 'alias', None) + if alias is not None: + if resolved(alias) not in _alias_holders(model): + raise ValueError( + f'No version of {location.model_name} holds alias ' + f'{alias}.') + version = model.version(alias) + elif location.version is None: + version = model.default + else: + version = model.version(location.version) + recorded = _recorded_lineage(version) destination.parent.mkdir(parents=True, exist_ok=True) staged = destination.parent / f'{destination.name}{_EXPORT_DIR}' @@ -385,9 +443,45 @@ def fetch_model( isinstance(key, str) and isinstance(value, (int, float)) for key, value in metrics.items())): raise ValueError('Invalid training metrics in model bundle.') - published = _published(connector, version, metrics=metrics) + published = _published(connector, version, metadata=recorded, + metrics=metrics) if destination.exists(): shutil.rmtree(destination) shutil.move(str(bundle), str(destination)) shutil.rmtree(staged, ignore_errors=True) return published + + def set_model_alias( + self, + connector: SourceConnector, + location: ModelRegistryLocation, + alias: str, + ) -> None: + r"""Points :obj:`alias` at ``location.version``, moving it if held. + + Snowflake allows one alias per version; moving one is not atomic. + """ + if location.version is None: + raise ValueError('Setting an alias needs a ModelRegistryLocation ' + 'naming an exact version.') + check_model_alias(alias) + wanted = resolved(alias) + with self._registry(connector) as registry: + model = registry.get_model(location.model_name) + target = model.version(location.version) + name = resolved(str(target.version_name)) + holders = { + held: version + for held, version in _alias_holders(model).items() + if held not in _SYSTEM_ALIASES + } + if holders.get(wanted) == name: + return + held = sorted(a for a, v in holders.items() if v == name) + if held: + raise ValueError( + f'Version {name} of {location.model_name} already holds ' + f'alias {held[0]}; unset it first.') + if wanted in holders: + model.version(alias).unset_alias(alias) + target.set_alias(alias) diff --git a/packages/kumo-snowflake/tests/test_registry.py b/packages/kumo-snowflake/tests/test_registry.py index 9d07e6c28..1dc4e467c 100644 --- a/packages/kumo-snowflake/tests/test_registry.py +++ b/packages/kumo-snowflake/tests/test_registry.py @@ -8,6 +8,7 @@ from pathlib import Path from types import SimpleNamespace +import pandas as pd import pytest from kumo_snowflake import registry as registry_module from kumo_snowflake.registry import SnowflakeModelRegistryMixin @@ -30,7 +31,11 @@ def export(directory): version = SimpleNamespace( model_name='CHURN', version_name='V1', fully_qualified_model_name='DB.SCHEMA.CHURN', export=export, - show_metrics=lambda: pytest.fail('read registry metrics')) + show_metrics=lambda: { + 'kumo_engine': '1', + 'kumo_bundle_id': 'b1', + 'auc': 0.5 + }) model = SimpleNamespace(default=version, version=lambda _: version) @contextmanager @@ -60,6 +65,7 @@ def test_fetch_returns_bundle_metrics(fetch, requested_version, metrics): payload = json.dumps(metrics) if metrics is not None else None published = run(payload, requested_version) assert published.metrics == (metrics or {}) + assert published.metadata == {'kumo_bundle_id': 'b1'} assert published.version == 'V1' assert (destination / 'weights.bin').read_bytes() == b'model weights' assert not (destination / 'previous').exists() @@ -75,9 +81,13 @@ def test_invalid_metrics_preserve_previous_destination(fetch, payload): assert (destination / 'previous').read_bytes() == b'previous bundle' -@pytest.mark.parametrize('metadata', [{}, {'predictive_query': 'x' * 300}]) -def test_publish_records_only_engine_marker_in_catalog(tmp_path, monkeypatch, - metadata): +@pytest.mark.parametrize('metadata', [{}, { + 'predictive_query': 'x' * 300, + 'kumo_bundle_id': 'b1', + 'kumo_engine': '0' +}]) +def test_publish_records_engine_marker_and_metrics_in_catalog( + tmp_path, monkeypatch, metadata): bundle = tmp_path / 'bundle' bundle.mkdir() (bundle / 'training-spec.json').write_text('{}') @@ -99,16 +109,21 @@ def registry(_): monkeypatch.setattr(registry_module, '_carrier_signature', lambda: {}) published = sink.publish_model(SimpleNamespace(), str(bundle), location=ModelRegistryLocation('CHURN'), - metadata=metadata, metrics={'auc': 0.92}) - assert calls[0]['metrics'] == {'kumo_engine': '1'} + metadata=metadata, + metrics={'auc': 0.92, 'loss': float('nan')}) + assert calls[0]['metrics'] == { + 'auc': 0.92, + **({'kumo_bundle_id': 'b1'} if metadata else {}), 'kumo_engine': '1' + } assert published.metadata == metadata - assert published.metrics == {'auc': 0.92} + assert published.metrics['auc'] == 0.92 -def test_listing_filters_engine_marker_and_returns_empty_metrics(monkeypatch): +def test_listing_filters_engine_marker_and_returns_lineage(monkeypatch): versions = [] for name, recorded in [('V1', { 'kumo_engine': '1', + 'kumo_bundle_id': 'b1', 'auc': 0.92 }), ('V2', { 'other': '1', @@ -134,4 +149,91 @@ def registry(_): found = sink.list_models(SimpleNamespace()) assert [item.version for item in found] == ['V1', 'V4'] assert [item.metrics for item in found] == [{}, {}] - assert all(item.metadata == {} for item in found) + assert [item.metadata for item in found] == [{'kumo_bundle_id': 'b1'}, {}] + + +class _Model: + def __init__(self, aliases): + self.aliases = aliases + + def show_versions(self): + return pd.DataFrame([ + dict(name=name, aliases=json.dumps(held)) + for name, held in self.aliases.items() + ]) + + def version(self, version_or_alias): + name = next((name for name, held in self.aliases.items() + if version_or_alias.upper() in held), version_or_alias) + held = self.aliases[name] + + def export(directory): + bundle = Path(directory) / 'bundle' + bundle.mkdir() + (bundle / 'training-spec.json').write_text(name) + (bundle / 'publication-manifest.json').write_text('{}') + + return SimpleNamespace( + version_name=name, model_name='CHURN', + fully_qualified_model_name='DB.SCHEMA.CHURN', export=export, + set_alias=lambda alias: held.append(alias.upper()), + unset_alias=lambda alias: held.remove(alias.upper()), + show_metrics=lambda: { + 'kumo_engine': '1', + 'kumo_bundle_id': f'id-{name}' + }) + + +def _aliasing_sink(monkeypatch, model): + @contextmanager + def registry(_): + yield SimpleNamespace(get_model=lambda _: model) + + sink = SnowflakeModelRegistryMixin() + monkeypatch.setattr(sink, '_registry', registry) + return sink + + +def test_set_alias_moves_it_and_refuses_what_snowflake_cannot(monkeypatch): + from kumo_snowflake.sink import SnowflakeSinkBackend + from kumoapi.plugin import ModelAliasingSink + + assert isinstance(SnowflakeSinkBackend(), ModelAliasingSink) + model = _Model({'V1': ['FIRST'], 'V2': ['LAST', 'DEFAULT'], 'V3': []}) + sink = _aliasing_sink(monkeypatch, model) + + def set_alias(version, alias): + sink.set_model_alias(SimpleNamespace(), + ModelRegistryLocation('CHURN', version=version), + alias) + + set_alias('V2', 'prod') + set_alias('V3', 'prod') + set_alias('V3', 'prod') + assert model.aliases == { + 'V1': ['FIRST'], + 'V2': ['LAST', 'DEFAULT'], + 'V3': ['PROD'] + } + for version, alias, match in [('V3', 'staging', 'already holds'), + ('V1', 'default', 'reserved'), + (None, 'prod', 'exact version')]: + with pytest.raises(ValueError, match=match): + set_alias(version, alias) + assert model.aliases['V3'] == ['PROD'] + + +def test_fetch_by_alias_reads_the_aliased_version(monkeypatch, tmp_path): + sink = _aliasing_sink(monkeypatch, _Model({ + 'V1': ['DEFAULT'], + 'V2': ['PROD'] + })) + published = sink.fetch_model( + SimpleNamespace(), str(tmp_path / 'out'), + location=ModelRegistryLocation('CHURN', alias='prod')) + assert published.version == 'V2' + assert published.metadata == {'kumo_bundle_id': 'id-V2'} + assert (tmp_path / 'out' / 'training-spec.json').read_text() == 'V2' + with pytest.raises(ValueError, match='holds alias'): + sink.fetch_model(SimpleNamespace(), str(tmp_path / 'other'), + location=ModelRegistryLocation('CHURN', alias='V1')) From 18e3b422065f5c50005ab379bb7dfefb9faf7a7d Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 22:14:01 +0000 Subject: [PATCH 112/123] Roll back failed Snowflake alias moves; validate aliases before fit A Snowflake alias move unset the alias on the old version before setting it on the new one, so a failure in between left no version holding it. Restore it on the old version and log a warning. Export aliases were only checked after publishing; check them in fit()/export() before any work, with one syntax every registry accepts (letters, digits, underscores; DEFAULT/FIRST/LAST/LATEST/v reserved). Snowflake versions no longer record every training metric: registry versions carry only the kumo_engine marker and kumo_bundle_id on both Snowflake and Databricks; metrics stay in the bundle and the tracked run. Verified with the registry, plugin and trainer registry tests. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-api/kumoapi/plugin.py | 23 +++++---- .../kumo-api/test/test_plugin_registry.py | 7 ++- packages/kumo-engine/README.md | 18 ++++--- .../kumo/engine/trainer/trainer.py | 3 ++ .../kumo-engine/test/test_trainer_registry.py | 14 +++++ .../src/kumo_snowflake/registry.py | 51 ++++++++++--------- .../kumo-snowflake/tests/test_registry.py | 24 ++++++++- 7 files changed, 94 insertions(+), 46 deletions(-) diff --git a/packages/kumo-api/kumoapi/plugin.py b/packages/kumo-api/kumoapi/plugin.py index d126b9e03..013734e6f 100644 --- a/packages/kumo-api/kumoapi/plugin.py +++ b/packages/kumo-api/kumoapi/plugin.py @@ -21,6 +21,7 @@ :class:`~kumoai_studio.backend.LocalBackend`. """ +import re from dataclasses import dataclass, field from typing import ( Any, @@ -70,7 +71,8 @@ #: Registry metadata key holding the version's bundle id; the bundle's own #: provenance.json holds its lineage. BUNDLE_ID_KEY = 'kumo_bundle_id' -_RESERVED_ALIASES = frozenset({'DEFAULT', 'FIRST', 'LAST'}) +_ALIAS = re.compile(r'[A-Za-z_][A-Za-z0-9_]{0,254}') +_RESERVED_ALIAS = re.compile(r'DEFAULT|FIRST|LAST|LATEST|V[0-9]+', re.I) @dataclass(frozen=True) @@ -737,17 +739,16 @@ def set_model_alias( def check_model_alias(alias: str) -> None: r"""Raises :class:`ValueError` unless every model registry can set - :obj:`alias`: non-empty, not a Snowflake system alias (``DEFAULT``, - ``FIRST``, ``LAST``) and not SageMaker's ``SageMakerLifecycle-``.""" - if not isinstance(alias, str) or not alias.strip(): - raise ValueError(f'A model alias must be a non-empty name, not ' - f'{alias!r}.') - if (alias.upper() in _RESERVED_ALIASES - or alias.lower().startswith('sagemakerlifecycle-')): + :obj:`alias`: a letter or underscore, then letters, digits or underscores + (at most 255), and not ``DEFAULT``, ``FIRST``, ``LAST``, ``LATEST`` or + ``v`` in any case.""" + if (not isinstance(alias, str) or not _ALIAS.fullmatch(alias) + or _RESERVED_ALIAS.fullmatch(alias)): raise ValueError( - f'{alias!r} is reserved by a model registry; set it with the ' - f'registry directly (for DEFAULT: ALTER MODEL ... SET ' - f'DEFAULT_VERSION).') + f'{alias!r} cannot be set as a model alias: use letters, digits ' + f'and underscores, starting with a letter or underscore, and ' + f'avoid the reserved DEFAULT, FIRST, LAST, LATEST and v ' + f'(for DEFAULT use ALTER MODEL ... SET DEFAULT_VERSION).') def registry_lineage(recorded: Mapping[str, Any]) -> Dict[str, str]: diff --git a/packages/kumo-api/test/test_plugin_registry.py b/packages/kumo-api/test/test_plugin_registry.py index 8885ba568..52ca7a69f 100644 --- a/packages/kumo-api/test/test_plugin_registry.py +++ b/packages/kumo-api/test/test_plugin_registry.py @@ -6,8 +6,10 @@ from kumoapi.plugin import check_model_alias, registry_lineage -@pytest.mark.parametrize( - 'alias', ['', ' ', 'default', 'LAST', 'SageMakerLifecycle-prod', None]) +@pytest.mark.parametrize('alias', [ + '', ' ', 'default', 'LAST', 'Latest', 'v3', 'my-alias', '2nd', 'a' * 256, + None +]) def test_check_model_alias_refuses_what_a_registry_reserves(alias): with pytest.raises(ValueError): check_model_alias(alias) @@ -15,6 +17,7 @@ def test_check_model_alias_refuses_what_a_registry_reserves(alias): def test_check_model_alias_accepts_a_plain_name(): check_model_alias('champion') + check_model_alias('_v2_prod') def test_registry_lineage_keeps_kumo_keys_as_strings(): diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index a18501889..d0725ed0f 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -570,8 +570,7 @@ exported snapshot with `GraphSnapshot.load_from_connector(...)` and calls source data or graph storage. With `export_config`, `result.published_model` records the assigned name, version, -and URI; otherwise it is `None`. Snowflake also records training metrics and -metadata for model discovery and comparison. Retain the assigned version for reload: +and URI; otherwise it is `None`. Retain the assigned version for reload: ```python result = trainer.fit( @@ -607,14 +606,17 @@ trainer = Trainer.load_from_connector(registry, location=ModelRegistryLocation( "CHURN_GNN", alias="prod")) ``` -An export alias is set after publishing; if that fails, `fit()` warns and still -returns the published model. Snowflake allows one alias per version and reserves -`DEFAULT`, `FIRST` and `LAST`, which can be loaded but not set. File, S3 and GCS -connectors have no aliases. +An alias is a letter or underscore followed by letters, digits or underscores; +`DEFAULT`, `FIRST`, `LAST`, `LATEST` and `v` are reserved, and `fit()` +rejects an invalid export alias before training. The alias is set after +publishing; if that fails, `fit()` warns and still returns the published model. +Snowflake allows one alias per version; if moving an alias fails, it is put +back on the version that held it. Snowflake's `DEFAULT`, `FIRST` and `LAST` can +be loaded but not set. File, S3 and GCS connectors have no aliases. Each published version records only pointers: the `kumo_engine` marker and -`kumo_bundle_id` (Snowflake version metrics, which also hold the training -metrics; Databricks version tags). The bundle's own `provenance.json` holds its +`kumo_bundle_id` (Snowflake version metrics, Databricks version tags). Training +metrics stay in the bundle's `metrics.json` and on the tracked fit run. The bundle's own `provenance.json` holds its lineage. `list_models` and `fetch_model` return `kumo_bundle_id` in `PublishedModel.metadata`; `load_from_connector` warns if the fetched bundle differs from the recorded `kumo_bundle_id`. diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index ade979443..80cee89e7 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -38,6 +38,7 @@ ModelRegistryLocation, PublishedModel, SourceConnector, + check_model_alias, ) from kumoapi.train import TrainingStage from typing_extensions import Self @@ -243,6 +244,8 @@ def _require_publisher(export_config: ModelOutputConfig) -> None: raise NotImplementedError( f'{type(export_config.connector).__name__} cannot publish ' f'models') + if export_config.location and export_config.location.alias: + check_model_alias(export_config.location.alias) def _publish(training_result: TrainingResult, diff --git a/packages/kumo-engine/test/test_trainer_registry.py b/packages/kumo-engine/test/test_trainer_registry.py index 0de7e3137..2c509eccd 100644 --- a/packages/kumo-engine/test/test_trainer_registry.py +++ b/packages/kumo-engine/test/test_trainer_registry.py @@ -668,3 +668,17 @@ def test_alias_needs_an_aliasing_sink() -> None: for kwargs in (dict(alias='prod', version='3'), dict(alias='')): with pytest.raises(ValueError, match='alias'): ModelRegistryLocation('m', **kwargs) + + +def test_invalid_export_alias_is_rejected_before_publishing( + tmp_path: Path) -> None: + sink = _AliasingSink() + trainer = Trainer(ModelPlan()) + trainer._training_result = TrainingResult({}, {}, + _fake_published_bundle(tmp_path)) + with pytest.raises(ValueError, match='model alias'): + trainer.export( + SimpleNamespace( + connector=SimpleNamespace(sink_backend=sink), path=None, + location=ModelRegistryLocation('CHURN_GNN', alias='LATEST'))) + assert sink.published == {} diff --git a/packages/kumo-snowflake/src/kumo_snowflake/registry.py b/packages/kumo-snowflake/src/kumo_snowflake/registry.py index 93a4c892a..16d14d983 100644 --- a/packages/kumo-snowflake/src/kumo_snowflake/registry.py +++ b/packages/kumo-snowflake/src/kumo_snowflake/registry.py @@ -34,7 +34,6 @@ import json import logging -import math import shutil from contextlib import contextmanager from pathlib import Path @@ -81,7 +80,6 @@ #: merely happens to be named alike. _MANIFEST_FILE = 'publication-manifest.json' -_METRICS_LIMIT = 100_000 _SYSTEM_ALIASES = frozenset({'DEFAULT', 'FIRST', 'LAST'}) _LOG = logging.getLogger(__name__) @@ -218,21 +216,10 @@ def _refuse_path(path: Optional[str], action: str) -> None: f'a path.') -def _version_record(metadata: Mapping[str, str], - metrics: Mapping[str, float]) -> Dict[str, Any]: - record: Dict[str, Any] = { - name: value - for name, value in metrics.items() - if isinstance(value, (int, float)) and math.isfinite(value) - } - pointers = {ENGINE_MARKER: '1'} +def _version_record(metadata: Mapping[str, str]) -> Dict[str, str]: + record = {ENGINE_MARKER: '1'} if metadata.get(BUNDLE_ID_KEY): - pointers[BUNDLE_ID_KEY] = str(metadata[BUNDLE_ID_KEY]) - record.update(pointers) - if len(json.dumps(record)) > _METRICS_LIMIT: - _LOG.warning('Training metrics exceed the registry metadata limit ' - 'and are recorded only in the bundle.') - return pointers + record[BUNDLE_ID_KEY] = str(metadata[BUNDLE_ID_KEY]) return record @@ -252,6 +239,17 @@ def _alias_holders(model: Any) -> Dict[str, str]: return holders +def _restore_alias(model: Any, version: str, alias: str) -> None: + try: + model.version(version).set_alias(alias) + except Exception as error: + _LOG.warning('Alias %s is now unset: restoring it on version %s ' + 'failed: %s', alias, version, error) + else: + _LOG.warning('Could not move alias %s; it stays on version %s.', + alias, version) + + class SnowflakeModelRegistryMixin: r"""The model half of :class:`SnowflakeSinkBackend`. @@ -312,8 +310,8 @@ def publish_model( this reports back what it created. metadata: Returned with the publication result; its ``kumo_bundle_id`` is also recorded in the version's metrics. - metrics: Returned with the publication result, and recorded in - the version's metrics when finite. + metrics: Returned with the publication result. Training metrics + remain in the bundle's metrics.json. project_id: Ignored; a local runtime has no projects. Returns: @@ -331,7 +329,7 @@ def publish_model( f"{bundle} does not look like a published model bundle: it " f"has no {_SPEC_FILE}, which an export writes into every one.") - record = _version_record(metadata, metrics) + record = _version_record(metadata) with self._registry(connector) as registry: version = registry.log_model( _bundle_model(str(bundle)), @@ -459,7 +457,8 @@ def set_model_alias( ) -> None: r"""Points :obj:`alias` at ``location.version``, moving it if held. - Snowflake allows one alias per version; moving one is not atomic. + Snowflake allows one alias per version. A failed move puts the alias + back on the version that held it. """ if location.version is None: raise ValueError('Setting an alias needs a ModelRegistryLocation ' @@ -482,6 +481,12 @@ def set_model_alias( raise ValueError( f'Version {name} of {location.model_name} already holds ' f'alias {held[0]}; unset it first.') - if wanted in holders: - model.version(alias).unset_alias(alias) - target.set_alias(alias) + previous = holders.get(wanted) + if previous is not None: + model.version(previous).unset_alias(alias) + try: + target.set_alias(alias) + except Exception: + if previous is not None: + _restore_alias(model, previous, alias) + raise diff --git a/packages/kumo-snowflake/tests/test_registry.py b/packages/kumo-snowflake/tests/test_registry.py index 1dc4e467c..9ed7f1c94 100644 --- a/packages/kumo-snowflake/tests/test_registry.py +++ b/packages/kumo-snowflake/tests/test_registry.py @@ -86,7 +86,7 @@ def test_invalid_metrics_preserve_previous_destination(fetch, payload): 'kumo_bundle_id': 'b1', 'kumo_engine': '0' }]) -def test_publish_records_engine_marker_and_metrics_in_catalog( +def test_publish_records_only_pointers_in_catalog( tmp_path, monkeypatch, metadata): bundle = tmp_path / 'bundle' bundle.mkdir() @@ -112,7 +112,6 @@ def registry(_): metadata=metadata, metrics={'auc': 0.92, 'loss': float('nan')}) assert calls[0]['metrics'] == { - 'auc': 0.92, **({'kumo_bundle_id': 'b1'} if metadata else {}), 'kumo_engine': '1' } assert published.metadata == metadata @@ -237,3 +236,24 @@ def test_fetch_by_alias_reads_the_aliased_version(monkeypatch, tmp_path): with pytest.raises(ValueError, match='holds alias'): sink.fetch_model(SimpleNamespace(), str(tmp_path / 'other'), location=ModelRegistryLocation('CHURN', alias='V1')) + + +def test_failed_alias_move_puts_it_back(monkeypatch): + model = _Model({'V1': ['PROD'], 'V2': []}) + + def fail(alias): + raise RuntimeError('lost connection') + + def failing_version(name): + version = _Model.version(model, name) + if name == 'V2': + version.set_alias = fail + return version + + model.version = failing_version + sink = _aliasing_sink(monkeypatch, model) + with pytest.raises(RuntimeError, match='lost connection'): + sink.set_model_alias(SimpleNamespace(), + ModelRegistryLocation('CHURN', version='V2'), + 'prod') + assert model.aliases == {'V1': ['PROD'], 'V2': []} From f08aeee43f58e3cdad2715c26bca5b687a8c8130 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 19:28:56 +0000 Subject: [PATCH 113/123] Add prediction_output_columns and connector_for_root helpers An MLflow model signature needs the columns a scored frame carries for each task type, and a served model needs a connector for a snapshot URI. format_prediction kept its long-format task set inline, and nothing mapped an s3://, gs://, file:// or local root to a connector. kumo_core.train.formatting.prediction_output_columns(task_type) returns the prediction columns after the entity column, sharing the task sets format_prediction uses; kumo.engine.connector.connector_for_root(uri) builds the S3, GCS or file connector for a root. Verified: kumo-core test_prediction_output_columns and kumo-engine test_connector_for_root pass. Co-Authored-By: Claude Opus 5.5 --- .../src/kumo_core/train/formatting.py | 34 +++++++++++++++---- .../tests/test_prediction_output_columns.py | 23 +++++++++++++ .../kumo/engine/connector/__init__.py | 20 +++++++++++ .../test/test_connector_for_root.py | 25 ++++++++++++++ 4 files changed, 95 insertions(+), 7 deletions(-) create mode 100644 packages/kumo-core/tests/test_prediction_output_columns.py create mode 100644 packages/kumo-engine/test/test_connector_for_root.py diff --git a/packages/kumo-core/src/kumo_core/train/formatting.py b/packages/kumo-core/src/kumo_core/train/formatting.py index 53ce12c3a..0d5585d73 100644 --- a/packages/kumo-core/src/kumo_core/train/formatting.py +++ b/packages/kumo-core/src/kumo_core/train/formatting.py @@ -31,6 +31,15 @@ class LinkPredictionTable(Protocol): _ANCHOR_TIME_COL = "ANCHOR_TIMESTAMP" +_CLASS_TASKS = frozenset({ + TaskType.MULTICLASS_CLASSIFICATION, + TaskType.MULTILABEL_CLASSIFICATION, +}) +_LONG_FORMAT_TASKS = _CLASS_TASKS | { + TaskType.MULTILABEL_RANKING, + TaskType.TEMPORAL_LINK_PREDICTION, + TaskType.STATIC_LINK_PREDICTION, +} def _get_col_names( @@ -67,6 +76,23 @@ def _get_col_names( return result +def prediction_output_columns(task_type: TaskType) -> list[str]: + r"""The prediction columns a scored row carries after its entity column, + for a target named ``TARGET`` and a time column named ``TIMESTAMP``.""" + if task_type in _CLASS_TASKS: + return ['PREDICTED', 'CLASS', 'SCORE'] + if task_type.is_ranking: + return ['CLASS', 'SCORE'] + if task_type == TaskType.FORECASTING: + return ['TIMESTAMP', 'TARGET_PRED'] + if task_type == TaskType.BINARY_CLASSIFICATION: + return [ + 'TARGET_PRED', + *_get_col_names(pd.Index([]), task_type, is_wide_format=True) + ] + return ['TARGET_PRED'] + + def _format_prediction_sanity_checks( target_encoder: TargetEncoder, task_type: TaskType, @@ -284,13 +310,7 @@ def format_prediction( 'metadata. Rename the time column before forecasting.') format: Literal['wide', 'long'] - if task_type in { - TaskType.MULTICLASS_CLASSIFICATION, - TaskType.MULTILABEL_CLASSIFICATION, - TaskType.MULTILABEL_RANKING, - TaskType.TEMPORAL_LINK_PREDICTION, - TaskType.STATIC_LINK_PREDICTION, - }: + if task_type in _LONG_FORMAT_TASKS: format = 'long' else: assert top_k is None, f"`top_k` is not supported for {task_type}." diff --git a/packages/kumo-core/tests/test_prediction_output_columns.py b/packages/kumo-core/tests/test_prediction_output_columns.py new file mode 100644 index 000000000..eee36d837 --- /dev/null +++ b/packages/kumo-core/tests/test_prediction_output_columns.py @@ -0,0 +1,23 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. +# All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +from __future__ import annotations + +import pytest +from kumo_core.train.formatting import prediction_output_columns +from kumo_core.types import TaskType + + +@pytest.mark.parametrize('task_type, columns', [ + (TaskType.BINARY_CLASSIFICATION, + ['TARGET_PRED', 'False_PROB', 'True_PROB']), + (TaskType.REGRESSION, ['TARGET_PRED']), + (TaskType.FORECASTING, ['TIMESTAMP', 'TARGET_PRED']), + (TaskType.MULTICLASS_CLASSIFICATION, ['PREDICTED', 'CLASS', 'SCORE']), + (TaskType.MULTILABEL_CLASSIFICATION, ['PREDICTED', 'CLASS', 'SCORE']), + (TaskType.MULTILABEL_RANKING, ['CLASS', 'SCORE']), + (TaskType.TEMPORAL_LINK_PREDICTION, ['CLASS', 'SCORE']), + (TaskType.STATIC_LINK_PREDICTION, ['CLASS', 'SCORE']), +]) +def test_prediction_output_columns(task_type, columns) -> None: + assert prediction_output_columns(task_type) == columns diff --git a/packages/kumo-engine/kumo/engine/connector/__init__.py b/packages/kumo-engine/kumo/engine/connector/__init__.py index 8f7373203..48408d085 100644 --- a/packages/kumo-engine/kumo/engine/connector/__init__.py +++ b/packages/kumo-engine/kumo/engine/connector/__init__.py @@ -36,6 +36,25 @@ from kumo.engine.connector.snowflake import SnowflakeConnector from kumo.engine.connector.source_table import SourceTable, SQLSourceTable + +def connector_for_root(uri: str) -> Connector: + r"""A connector rooted at ``uri``: ``s3://``, ``gs://``, ``file://`` or a + local path.""" + from urllib.parse import urlparse + from urllib.request import url2pathname + + parsed = urlparse(uri) + if parsed.scheme == 's3': + return S3Connector(root_dir=uri) + if parsed.scheme == 'gs': + return GCSConnector(root_dir=uri) + if parsed.scheme not in ('', 'file'): + raise ValueError(f'{uri!r} is not s3://, gs://, file:// or a local ' + f'path.') + return FileConnector( + root_dir=url2pathname(parsed.path) if parsed.scheme else uri) + + __all__ = [ "Connector", "FileConnector", @@ -52,4 +71,5 @@ "GCSIdentity", "BigQueryIdentity", "DatabricksIdentity", + "connector_for_root", ] diff --git a/packages/kumo-engine/test/test_connector_for_root.py b/packages/kumo-engine/test/test_connector_for_root.py new file mode 100644 index 000000000..93073db79 --- /dev/null +++ b/packages/kumo-engine/test/test_connector_for_root.py @@ -0,0 +1,25 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. +# All rights reserved. +# SPDX-License-Identifier: Apache-2.0 + +import pytest + +from kumo.engine.connector import ( + FileConnector, + GCSConnector, + S3Connector, + connector_for_root, +) + + +def test_connector_for_root(tmp_path): + s3 = connector_for_root('s3://my-bucket/runs/1') + assert isinstance(s3, S3Connector) + assert (s3.bucket, s3.prefix) == ('my-bucket', 'runs/1') + assert isinstance(connector_for_root('gs://my-bucket/runs'), GCSConnector) + for uri in (str(tmp_path), tmp_path.as_uri()): + local = connector_for_root(uri) + assert isinstance(local, FileConnector) + assert local.config.root_dir == str(tmp_path) + with pytest.raises(ValueError, match='not s3://'): + connector_for_root('abfss://c@a.dfs.core.windows.net/x') From 0b693a1cb519da77dd02713454ac52257b14aa39 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 23:06:57 +0000 Subject: [PATCH 114/123] Log, register and serve fitted models through MLflow pyfunc A fitted model could be published to a connector registry, but not to MLflow, where Databricks Unity Catalog and SageMaker managed MLflow expect models; and a tracked fit run did not say which bundle it made or which scheduler job ran it. kumo.engine.integrations.mlflow gains log_model(trainer, snapshot=...) (a pyfunc model wrapping the bundle, scored with params={'snapshot': uri} or a serving_snapshot loaded once per replica at startup; metadata kumo_bundle_id only; provenance.json as an artifact; pip requirement kumo-engine[s3,gcs]==) and load_model(uri). MlflowTracking( log_model=, registered_model_name=, aliases=, serving_snapshot=) logs, registers and aliases the fit's model on the fit run through an optional log_model(result, snapshot) tracker member. Trainer.fit runs it on the tracking thread and waits for it without the 30 s finish limit, so the model is registered (or the run ends FAILED with a warning) before fit returns. Fit runs gain the pointer tags kumo.bundle_id and, under a scheduler, kumo.scheduler, kumo.job_id and kumo.job_run_id; a tracked fit's provenance.json records "tracking": {"run_id": }. Verified: test_mlflow_model, test_mlflow_tracking, test_tracking_contract, test_snowflake_tracking, test_bundle_provenance, test_trainer_registry, test_scoring_defaults, test_fit_events and test_optional_imports pass. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/README.md | 69 +++++ packages/kumo-engine/kumo/engine/_manifest.py | 6 + packages/kumo-engine/kumo/engine/_tracking.py | 51 +++- .../kumo/engine/integrations/_mlflow_model.py | 148 ++++++++++ .../engine/integrations/_mlflow_model_code.py | 7 + .../kumo/engine/integrations/mlflow.py | 265 ++++++++++++++++-- .../kumo/engine/trainer/_provenance.py | 4 + .../kumo/engine/trainer/trainer.py | 30 +- .../test/test_bundle_provenance.py | 1 + .../kumo-engine/test/test_mlflow_model.py | 213 ++++++++++++++ .../kumo-engine/test/test_mlflow_tracking.py | 3 +- 11 files changed, 752 insertions(+), 45 deletions(-) create mode 100644 packages/kumo-engine/kumo/engine/integrations/_mlflow_model.py create mode 100644 packages/kumo-engine/kumo/engine/integrations/_mlflow_model_code.py create mode 100644 packages/kumo-engine/test/test_mlflow_model.py diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index d0725ed0f..a05e7f2c9 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -436,6 +436,75 @@ on the fit run when the bundle has one, with `query.pql` and `model_plan.json`. `version` and `version_kind`. Your `tags=` are added as given, except `kumo.*` names and param names. +The fit run also carries `kumo.bundle_id` once the fit has a bundle, and +under a scheduler `kumo.scheduler`, `kumo.job_id` and `kumo.job_run_id`. In the +other direction, a tracked fit's bundle records `"tracking": {"run_id": ...}` +in `provenance.json`, the `kumo.run_id` every tracker tags its fit run with. + +MLflow models: `log_model(trainer, snapshot=...)` logs a bundle as a pyfunc +model, with the bundle's source tables as inputs of the run it is logged in, +that scores where `kumo-engine[s3,gcs]` of the same version is installed (its +pip requirement); `load_model(uri)` restores the `Trainer`. +`MlflowTracking(registered_model_name=..., aliases=...)` logs, registers and +aliases the fit's model on the fit run (a failed fit logs none). `fit()` waits +for the upload and registration however long they take, before it returns; +if they fail, `fit()` warns, still returns its result, and the run ends +`FAILED`. The model's metadata is `kumo_bundle_id`; its `provenance.json` +artifact is the bundle's. A tracker can do the same through the optional +`log_model(result, snapshot)` protocol member. + +```python +from kumo.engine.integrations.mlflow import MlflowTracking + +result = trainer.fit(training_table, snapshot=snapshot, tracking=MlflowTracking( + experiment_name="/Shared/users_spend", + registered_model_name="main.ml.users_spend", aliases=["champion"])) +``` + +```python +model = mlflow.pyfunc.load_model("models:/users-spend@champion") +scores = model.predict(entities, params={"snapshot": "s3:///snapshots/"}) +``` + +The pyfunc model loads a snapshot on its first `predict` with that URI and +keeps it for the life of the process: each serving replica, and each Spark +executor of `mlflow.pyfunc.spark_udf`, downloads the snapshot once and keeps +every snapshot it has loaded (no eviction), so its disk must hold them. With +`serving_snapshot=` (on `log_model` or +`MlflowTracking`), each replica downloads that snapshot when it starts, and +`predict` uses it when no `snapshot` param is given. +`params={"population": True}` scores every entity and returns the whole +frame in memory; for large populations use `Trainer.predict` with a +`PredictionOutputConfig`. + +SageMaker managed MLflow servers run MLflow 3.0; kumo-engine needs a newer +client (3.11 or later, since DiskGraph pins pyarrow 24). A 3.17 client against +a 3.0 server handles logging, registration, aliases and `load_model`. + +On Databricks, the parent folder of an MLflow experiment path must exist. +Registering to Unity Catalog from outside Databricks also needs `boto3`, which +the `mlflow` extra does not install. + +#### Which registry + +There are two ways to register a model; pick one per registered model, since +the two store different formats. Both record only the `kumo_bundle_id` +pointer; lineage stays in the bundle's `provenance.json`, which an MLflow +model also carries as its `provenance.json` artifact. An MLflow model logs +each source table (and a custom training table) as a run input, Unity +Catalog tables as Delta datasets. Both accept the same aliases +(`kumoapi.plugin.check_model_alias`). + +| | Connector registry | MLflow model | +|---|---|---| +| Publish | `fit(export_config=ModelOutputConfig(connector, location=ModelRegistryLocation(name, alias=...)))` or `Trainer.export` | `MlflowTracking(registered_model_name=..., aliases=[...])` or `log_model(...)` | +| Load | `Trainer.load_from_connector(connector, location=...)` | `mlflow.pyfunc.load_model(uri)` or `load_model(uri)` | +| Promote | `set_model_alias(connector, location, alias)` | MLflow's `set_registered_model_alias` | +| Databricks | `DatabricksConnector` (Unity Catalog) | Unity Catalog through MLflow | +| SageMaker | `S3Connector` path | SageMaker managed MLflow (`MLFLOW_TRACKING_URI` = tracking server ARN) | +| Snowflake | `SnowflakeConnector` (Snowflake Model Registry) | not available | +| Plain VM | `FileConnector`, `S3Connector`, `GCSConnector` path (no aliases) | any MLflow tracking server | + ## BigQuery staged ingestion BigQuery streams through the Storage Read API by default. For large tables, diff --git a/packages/kumo-engine/kumo/engine/_manifest.py b/packages/kumo-engine/kumo/engine/_manifest.py index 5f9404bea..fd066e57e 100644 --- a/packages/kumo-engine/kumo/engine/_manifest.py +++ b/packages/kumo-engine/kumo/engine/_manifest.py @@ -219,6 +219,11 @@ def from_dict(cls, data: Mapping[str, Any]) -> Self: source_table=SourceTableEntry.from_dict(rest)) +@dataclass(frozen=True, kw_only=True) +class TrackingRef(Record): + run_id: str + + @dataclass(frozen=True, kw_only=True) class BundleProvenance(Manifest): """A reconstructed record (a derived bundle whose parent had none) writes @@ -230,6 +235,7 @@ class BundleProvenance(Manifest): training_table: Optional[BundleTrainingTable] = None source_tables: Optional[Dict[str, SourceTableEntry]] = None fit_mode: Optional[str] = None + tracking: Optional[TrackingRef] = omit_none() def to_dict(self) -> Dict[str, Any]: data = super().to_dict() diff --git a/packages/kumo-engine/kumo/engine/_tracking.py b/packages/kumo-engine/kumo/engine/_tracking.py index e62e273fa..6fd606ac5 100644 --- a/packages/kumo-engine/kumo/engine/_tracking.py +++ b/packages/kumo-engine/kumo/engine/_tracking.py @@ -30,6 +30,7 @@ from kumo.engine._events import Event, _finite_floats if TYPE_CHECKING: + from kumo.engine.graph import GraphSnapshot from kumo.engine.trainer.trainer import TrainingResult logger = logging.getLogger(__name__) @@ -115,6 +116,7 @@ def run_record(context: FitContext, result: Optional['TrainingResult'] = None, tags: Optional[Mapping[str, str]] = None) -> RunRecord: r"""The fit run's record; ``tags`` are the user's extra tags.""" metrics: Dict[str, float] = {} + pointers = _scheduler_tags() artifacts = { 'query.pql': context.query, 'model_plan.json': json.dumps(dict(context.model_plan), indent=2, @@ -124,6 +126,8 @@ def run_record(context: FitContext, result: Optional['TrainingResult'] = None, metrics.update(result.metrics) if fit_ended is not None and 'seconds' in fit_ended.metrics: metrics['seconds'] = fit_ended.metrics['seconds'] + if getattr(result, 'bundle_id', None): + pointers['kumo.bundle_id'] = str(result.bundle_id) provenance = Path(result.bundle_dir) / 'provenance.json' if provenance.is_file(): artifacts['provenance.json'] = provenance.read_text( @@ -139,6 +143,7 @@ def run_record(context: FitContext, result: Optional['TrainingResult'] = None, **_user_tags(tags, params), 'kumo.kind': 'fit', 'kumo.run_id': context.run_id, + **pointers, **_error_tag(fit_ended), }, artifacts=artifacts, @@ -160,6 +165,18 @@ def _user_tags(tags: Optional[Mapping[str, Any]], } +def _scheduler_tags() -> Dict[str, str]: + from kumo.engine._provenance import scheduler_context + + scheduler = scheduler_context() or {} + tags = { + 'kumo.scheduler': scheduler.get('platform'), + 'kumo.job_id': scheduler.get('job_id'), + 'kumo.job_run_id': scheduler.get('job_run_id'), + } + return {key: str(value) for key, value in tags.items() if value} + + def _error_tag(ended: Optional[Event]) -> Dict[str, str]: if ended is None or 'error' not in ended.params: return {} @@ -214,8 +231,10 @@ class Tracking(Protocol): record without metrics, `on_trial` a trial attempt's record so far with the event that updated it, and `finish` the fit run's final record (`None` if tracking stopped early, which should end the run as failed). - Optional members: ``prepare()``, called first on the fit's own thread, - and ``tags`` (extra fit-run tags). + Optional members: ``prepare()``, called first on the fit's own thread; + ``log_model(result, snapshot)``, called after a fit that succeeded and + before `finish`, which the fit waits for without a time limit (an error + ends the run as failed); and ``tags`` (extra fit-run tags). """ def start(self, record: RunRecord) -> None: ... @@ -280,6 +299,34 @@ def on_event(self, event: Event) -> None: self._submit(lambda: self._call( lambda tracker: tracker.on_trial(record, event))) + def log_model(self, result: 'TrainingResult', + snapshot: 'GraphSnapshot') -> Optional[BaseException]: + r"""Runs the tracker's ``log_model`` on the tracking thread and waits + for it; returns the error it raised.""" + if (self._worker is None + or not hasattr(self._tracker, 'log_model')): + return None + done = threading.Event() + failed: List[BaseException] = [] + + def log() -> None: + try: + tracker = self._tracker + if tracker is not None: + getattr(tracker, 'log_model')(result, snapshot) + except Exception as error: + failed.append(error) + finally: + done.set() + + self._jobs.put(log) + done.wait() + if failed: + warnings.warn(f'Could not log the model: {failed[0]}', + UserWarning, stacklevel=3) + return failed[0] + return None + def finish(self, result: Optional['TrainingResult'], error: Optional[BaseException]) -> None: worker = self._worker diff --git a/packages/kumo-engine/kumo/engine/integrations/_mlflow_model.py b/packages/kumo-engine/kumo/engine/integrations/_mlflow_model.py new file mode 100644 index 000000000..4d30d8191 --- /dev/null +++ b/packages/kumo-engine/kumo/engine/integrations/_mlflow_model.py @@ -0,0 +1,148 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. +# All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +import shutil +import tempfile +from pathlib import Path +from typing import Any, Dict, Mapping, Optional, Tuple + +import pandas as pd + +from kumo.engine.connector._extras import import_provider +from kumo.engine.connector.base import Connector +from kumo.engine.graph import GraphSnapshot + +_pyfunc = import_provider('mlflow.pyfunc', 'mlflow') +_schema = import_provider('mlflow.types.schema', 'mlflow') +_signature = import_provider('mlflow.models.signature', 'mlflow') + +_DTYPES = { + 'PREDICTED': 'boolean', + 'SCORE': 'double', + 'TIMESTAMP': 'datetime', + 'False_PROB': 'double', + 'True_PROB': 'double', +} + + +class KumoModel(_pyfunc.PythonModel): + def load_context(self, context: Any) -> None: + from kumo.engine.trainer.trainer import Trainer + + self._trainer = Trainer.load(context.artifacts['bundle']) + self._columns = list(context.model_config['columns']) + self._snapshots: Dict[str, GraphSnapshot] = {} + self._default = context.model_config.get('snapshot') + if self._default: + self._snapshot(self._default) + + def predict(self, context: Any, model_input: pd.DataFrame, + params: Optional[Dict[str, Any]] = None) -> pd.DataFrame: + params = params or {} + if len(model_input) == 0 and not params.get('population'): + return pd.DataFrame(columns=self._columns) + uri = params.get('snapshot') or self._default + if not uri: + raise ValueError("Pass params={'snapshot': }.") + return predict(self._trainer, self._snapshot(uri), model_input, + params) + + def _snapshot(self, uri: str) -> GraphSnapshot: + if uri not in self._snapshots: + connector, path = snapshot_location(uri) + self._snapshots[uri] = GraphSnapshot.load_from_connector( + connector, path=path) + return self._snapshots[uri] + + +def predict(trainer: Any, snapshot: GraphSnapshot, rows: pd.DataFrame, + params: Mapping[str, Any]) -> pd.DataFrame: + from kumo.engine._scratch import prediction_table_scratch_dir + from kumo.engine.connector.file import FileConnector + + time = params.get('prediction_time') + time = None if time is None else pd.Timestamp(time) + options = dict( + binary_classification_threshold=params.get( + 'binary_classification_threshold'), + num_classes_to_return=params.get('num_classes_to_return'), + ) + scratch = [ + trainer.scratch_dir / 'runs', + prediction_table_scratch_dir('-').parent + ] + before = {path for parent in scratch for path in parent.glob('*')} + trainer.scratch_dir.mkdir(parents=True, exist_ok=True) + with tempfile.TemporaryDirectory(dir=trainer.scratch_dir) as tmp: + try: + if len(rows) == 0: + return trainer.predict_snapshot( + snapshot, prediction_time=None + if time is None else time.to_pydatetime(), **options).frame + rows = rows.rename(columns={'ENTITY': 'ENTITY1'}) + if time is not None and 'TIMESTAMP' not in rows: + rows = rows.assign(TIMESTAMP=time) + rows.to_parquet(Path(tmp) / 'rows.parquet', index=False) + return trainer.predict_snapshot( + snapshot, entities=FileConnector(root_dir=tmp)['rows.parquet'], + **options).frame + finally: + after = {path for parent in scratch for path in parent.glob('*')} + for path in after - before: + shutil.rmtree(path, ignore_errors=True) + + +def snapshot_location(uri: str) -> Tuple[Connector, str]: + from kumo.engine.connector import connector_for_root + + parent, slash, name = uri.rstrip('/').rpartition('/') + return connector_for_root(parent or slash or '.'), name + + +def signature(snapshot: GraphSnapshot, query: str) -> Tuple[Any, pd.DataFrame]: + from kumo_core.train.formatting import prediction_output_columns + from kumo_core.types import TaskType + + from kumo.engine.pquery import PredictiveQuery + + bound = PredictiveQuery.from_snapshot(snapshot, query) + parsed = bound._parsed + entity = snapshot.native_graph.table(parsed.entity_table) + entity_type = _entity_type(str(entity.column(entity.primary_key).dtype)) + task_type = TaskType(parsed.task_type) + dtypes = { + **_DTYPES, 'TARGET_PRED': + 'boolean' if task_type == TaskType.BINARY_CLASSIFICATION else 'double' + } + inputs = _schema.Schema([ + _schema.ColSpec(entity_type, 'ENTITY'), + _schema.ColSpec('datetime', 'TIMESTAMP', required=False), + ]) + outputs = _schema.Schema([ + _schema.ColSpec(entity_type, 'ENTITY'), + *(_schema.ColSpec(dtypes.get(name) or _schema.AnyType(), name) + for name in prediction_output_columns(task_type)), + ]) + params = _schema.ParamSchema([ + _schema.ParamSpec('snapshot', 'string', None), + _schema.ParamSpec('prediction_time', 'string', None), + _schema.ParamSpec('binary_classification_threshold', 'double', None), + _schema.ParamSpec('num_classes_to_return', 'long', None), + _schema.ParamSpec('population', 'boolean', False), + ]) + example = pd.DataFrame({ + 'ENTITY': { + 'long': [0, 1], + 'double': [0.0, 1.0], + }.get(entity_type, ['entity-0', 'entity-1']) + }) + return _signature.ModelSignature(inputs, outputs, params), example + + +def _entity_type(dtype: str) -> str: + if dtype.startswith('int') or dtype == 'byte': + return 'long' + if dtype.startswith('float'): + return 'double' + return 'string' diff --git a/packages/kumo-engine/kumo/engine/integrations/_mlflow_model_code.py b/packages/kumo-engine/kumo/engine/integrations/_mlflow_model_code.py new file mode 100644 index 000000000..03cedae08 --- /dev/null +++ b/packages/kumo-engine/kumo/engine/integrations/_mlflow_model_code.py @@ -0,0 +1,7 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. +# All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +from kumo.engine.connector._extras import import_provider +from kumo.engine.integrations._mlflow_model import KumoModel + +import_provider('mlflow.models', 'mlflow').set_model(KumoModel()) diff --git a/packages/kumo-engine/kumo/engine/integrations/mlflow.py b/packages/kumo-engine/kumo/engine/integrations/mlflow.py index e799aa68f..f4186b257 100644 --- a/packages/kumo-engine/kumo/engine/integrations/mlflow.py +++ b/packages/kumo-engine/kumo/engine/integrations/mlflow.py @@ -1,8 +1,8 @@ # SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. # All rights reserved. # SPDX-License-Identifier: Apache-2.0 -r"""MLflow tracking for `Trainer.fit` (``pip install 'kumo-engine[mlflow]'``). -""" +r"""MLflow tracking and models for `Trainer.fit` +(``pip install 'kumo-engine[mlflow]'``).""" import hashlib import json @@ -13,12 +13,33 @@ import time import warnings from contextlib import ExitStack, contextmanager -from typing import Any, Callable, Dict, Iterator, Mapping, Optional, Set, Tuple +from pathlib import Path +from typing import ( + TYPE_CHECKING, + Any, + Callable, + Dict, + Iterator, + Mapping, + Optional, + Sequence, + Set, + Tuple, +) + +from kumoapi.plugin import PublishedModel, check_model_alias from kumo.engine._events import Event -from kumo.engine._tracking import DROPPED_PARAMS, RunRecord +from kumo.engine._tracking import DROPPED_PARAMS, INPUT_FIELDS, RunRecord +from kumo.engine._version import __version__ from kumo.engine.connector._extras import import_provider +if TYPE_CHECKING: + from kumo_core.embedding_models import EmbeddingModelStore + + from kumo.engine.graph import GraphSnapshot + from kumo.engine.trainer.trainer import Trainer, TrainingResult + logger = logging.getLogger(__name__) _MAX_PARAM_KEY = 250 @@ -48,8 +69,18 @@ class MlflowTracking: log_system_metrics: sample CPU, memory, disk, network and (with ``nvidia-ml-py``) GPU usage on the fit run. tags: extra tags for the fit run. + log_model: log the fitted model on the fit run (see `log_model`) + before the fit returns. + registered_model_name: also register it; implies ``log_model``. + aliases: registered-model aliases to point at the new version. + serving_snapshot: exported snapshot URI the served model loads at + startup (see `log_model`). ``run_id`` is the MLflow id of the latest fit run, once it has started. + After a fit, ``registered`` is the registered model version, else None. + + Raises: + ValueError: on aliases without a registered model name, or invalid. """ def __init__( @@ -58,12 +89,22 @@ def __init__( run_name: Optional[str] = None, log_system_metrics: bool = True, tags: Optional[Mapping[str, str]] = None, + log_model: bool = False, + registered_model_name: Optional[str] = None, + aliases: Sequence[str] = (), + serving_snapshot: Optional[str] = None, ) -> None: self._mlflow = import_provider('mlflow', 'mlflow') + _check_registration(registered_model_name, aliases) self.experiment_name = experiment_name self.run_name = run_name self.log_system_metrics = log_system_metrics self.tags = dict(tags or {}) + self.registered_model_name = registered_model_name + self.aliases = tuple(aliases) + self.serving_snapshot = serving_snapshot + self.logs_model = log_model or registered_model_name is not None + self.registered: Optional[PublishedModel] = None self._outer: Optional[str] = None self.run_id: Optional[str] = None self._reset() @@ -74,6 +115,7 @@ def _reset(self) -> None: self._experiment_id: Optional[str] = None self._children: Dict[Tuple[int, int], str] = {} self._artifacts: Set[str] = set() + self._model_id: Optional[str] = None self._guard = ExitStack() def prepare(self) -> None: @@ -83,6 +125,7 @@ def prepare(self) -> None: def start(self, record: RunRecord) -> None: self._reset() self.run_id = None + self.registered = None self._guard.enter_context(_limited_http()) try: autologging = import_provider('mlflow.utils.autologging_utils', @@ -114,11 +157,7 @@ def start(self, record: RunRecord) -> None: self._experiment_id = run.info.experiment_id self._log_params(self._parent, record.params) self._log_artifacts(record.artifacts) - try: - self._log_inputs(record.inputs) - except Exception: - logger.warning('Could not log the fit\'s source tables to MLflow', - exc_info=True) + _log_inputs(mlflow, self._client, self._parent, record.inputs) def on_trial(self, record: RunRecord, event: Event) -> None: key = (event.trial or 0, int(event.params['attempt'])) @@ -139,12 +178,26 @@ def on_trial(self, record: RunRecord, event: Event) -> None: self._client.set_terminated(run_id, 'FINISHED' if succeeded else 'FAILED') + def log_model(self, result: 'TrainingResult', + snapshot: 'GraphSnapshot') -> None: + if not self.logs_model or self._parent is None: + return + info = _log_model(self._mlflow, result, snapshot, name='model', + run_id=self._parent, + serving_snapshot=self.serving_snapshot) + self._model_id = info.model_id + if self.registered_model_name is not None: + self.registered = _register(self._mlflow, info, + self.registered_model_name, + self.aliases) + def finish(self, record: Optional[RunRecord], error: Optional[BaseException]) -> None: status = 'FAILED' try: if record is not None and self._parent is not None: - self._log_metrics(self._parent, record.metrics) + self._log_metrics(self._parent, record.metrics, + model_id=self._model_id) self._log_tags(self._parent, record.tags) self._log_artifacts(record.artifacts) if error is None: @@ -168,25 +221,6 @@ def _log_artifacts(self, artifacts: Mapping[str, str]) -> None: self._client.log_text(self._parent, text, name) self._artifacts.add(name) - def _log_inputs(self, - inputs: Mapping[str, Mapping[str, Optional[str]]]) -> None: - meta = import_provider('mlflow.data.meta_dataset', 'mlflow') - entities = self._mlflow.entities - datasets = [] - for name, entry in inputs.items(): - source = _dataset_source(entry) - if source is None: - continue - digest = hashlib.sha256( - json.dumps(dict(entry), sort_keys=True).encode()).hexdigest() - dataset = meta.MetaDataset(source, name=name, digest=digest[:8]) - datasets.append( - entities.DatasetInput( - dataset._to_mlflow_entity(), - tags=[entities.InputTag('mlflow.data.context', 'train')])) - if datasets: - self._client.log_inputs(self._parent, datasets=datasets) - def _log_tags(self, run_id: str, tags: Mapping[str, str]) -> None: entities = self._mlflow.entities self._client.log_batch( @@ -207,18 +241,187 @@ def _log_params(self, run_id: str, params: Mapping[str, str]) -> None: ], tags=tags) def _log_metrics(self, run_id: Optional[str], - metrics: Mapping[str, float], step: int = 0) -> None: + metrics: Mapping[str, float], step: int = 0, + model_id: Optional[str] = None) -> None: if run_id is None or not metrics: return entities = self._mlflow.entities timestamp = int(time.time() * 1000) self._client.log_batch( run_id, metrics=[ - entities.Metric(key, float(value), timestamp, step) + entities.Metric(key, float(value), timestamp, step, + model_id=model_id) for key, value in metrics.items() ]) +def log_model( + trainer: 'Trainer', + *, + snapshot: 'GraphSnapshot', + name: str = 'model', + registered_model_name: Optional[str] = None, + aliases: Sequence[str] = (), + run_id: Optional[str] = None, + serving_snapshot: Optional[str] = None, +) -> Any: + r"""Log a trainer's bundle as an MLflow pyfunc model in ``run_id`` (or + the active run, else a new one) with its source tables as run inputs; + returns its `ModelInfo`. Scores with + ``predict(entities, params={'snapshot': uri})``; with + ``serving_snapshot`` (an exported snapshot URI), each serving replica + downloads that snapshot once at startup and scores against it when no + ``snapshot`` param is given.""" + mlflow = import_provider('mlflow', 'mlflow') + _check_registration(registered_model_name, aliases) + result = trainer._training_result + if result is None: + raise ValueError('log_model requires a fitted or loaded Trainer') + with _in_run(mlflow, run_id) as active: + _log_inputs(mlflow, mlflow.MlflowClient(), active, + _provenance_inputs(result.provenance or {})) + info = _log_model(mlflow, result, snapshot, name=name, run_id=active, + serving_snapshot=serving_snapshot) + if result.metrics: + mlflow.log_metrics(dict(result.metrics), run_id=info.run_id, + model_id=info.model_id) + if registered_model_name is not None: + _register(mlflow, info, registered_model_name, aliases) + return info + + +def load_model( + model_uri: str, + embedding_models: Optional['EmbeddingModelStore'] = None, +) -> 'Trainer': + r"""Restore the `Trainer` of a model `log_model` logged.""" + from kumo.engine._scratch import new_run_id, trainer_scratch_dir + from kumo.engine.trainer.trainer import Trainer, warn_if_other_bundle + + mlflow = import_provider('mlflow', 'mlflow') + destination = trainer_scratch_dir(new_run_id()) / 'mlflow-model' + destination.mkdir(parents=True) + local = Path( + mlflow.artifacts.download_artifacts(artifact_uri=model_uri, + dst_path=str(destination))) + model = mlflow.models.Model.load(str(local)) + bundle = model.flavors['python_function']['artifacts']['bundle']['path'] + trainer = Trainer.load(local / bundle, embedding_models) + warn_if_other_bundle(model.metadata, trainer) + return trainer + + +def _log_model(mlflow: Any, result: 'TrainingResult', + snapshot: Optional['GraphSnapshot'], *, name: str, run_id: str, + serving_snapshot: Optional[str]) -> Any: + from kumo.engine.integrations import _mlflow_model, _mlflow_model_code + from kumo.engine.trainer._spec import read_training_spec + from kumo.engine.trainer.trainer import registry_pointers + + if snapshot is None: + raise ValueError('log_model needs the snapshot the model trained on') + spec = read_training_spec(result.bundle_dir) + signature, example = _mlflow_model.signature(snapshot, + spec.predictive_query) + provenance = result.bundle_dir / 'provenance.json' + model_logger = logging.getLogger('mlflow.models.model') + model_logger.addFilter(_no_serving_check) + try: + with _in_run(mlflow, run_id): + return mlflow.pyfunc.log_model( + name=name, + python_model=_mlflow_model_code.__file__, + model_config={ + 'columns': signature.outputs.input_names(), + 'snapshot': serving_snapshot, + }, + artifacts={ + 'bundle': str(result.bundle_dir), + **({'provenance': str(provenance)} + if provenance.is_file() else {}), + }, + signature=signature, + input_example=example, + metadata=registry_pointers(result), + pip_requirements=[f'kumo-engine[s3,gcs]=={__version__}'], + ) + finally: + model_logger.removeFilter(_no_serving_check) + + +def _provenance_inputs( + provenance: Mapping[str, Any]) -> Dict[str, Mapping[str, Any]]: + tables = dict(provenance.get('source_tables') or {}) + custom = provenance.get('training_table') or {} + if custom.get('location'): + tables['training_table'] = custom + return { + name: {key: entry.get(key) + for key in INPUT_FIELDS} + for name, entry in tables.items() if isinstance(entry, Mapping) + } + + +def _log_inputs(mlflow: Any, client: Any, run_id: str, + inputs: Mapping[str, Mapping[str, Optional[str]]]) -> None: + try: + meta = import_provider('mlflow.data.meta_dataset', 'mlflow') + entities = mlflow.entities + datasets = [] + for name, entry in inputs.items(): + source = _dataset_source(entry) + if source is None: + continue + digest = hashlib.sha256( + json.dumps(dict(entry), sort_keys=True).encode()).hexdigest() + dataset = meta.MetaDataset(source, name=name, digest=digest[:8]) + datasets.append( + entities.DatasetInput( + dataset._to_mlflow_entity(), + tags=[entities.InputTag('mlflow.data.context', 'train')])) + if datasets: + client.log_inputs(run_id, datasets=datasets) + except Exception: + logger.warning('Could not log the fit\'s source tables to MLflow', + exc_info=True) + + +def _register(mlflow: Any, info: Any, name: str, + aliases: Sequence[str]) -> PublishedModel: + version = mlflow.register_model(info.model_uri, name) + client = mlflow.MlflowClient() + for alias in aliases: + client.set_registered_model_alias(name, alias, version.version) + return PublishedModel(name=name, version=str(version.version), + uri=f'models:/{name}/{version.version}') + + +def _no_serving_check(record: logging.LogRecord) -> bool: + # MLflow's input-example check predicts without a snapshot; no switch. + return not record.getMessage().startswith( + 'Failed to validate serving input example') + + +@contextmanager +def _in_run(mlflow: Any, run_id: Optional[str]) -> Iterator[str]: + active = mlflow.active_run() + if active is not None and run_id in (None, active.info.run_id): + yield active.info.run_id + return + with mlflow.start_run(run_id=run_id, nested=active is not None) as run: + yield run.info.run_id + + +def _check_registration(registered_model_name: Optional[str], + aliases: Sequence[str]) -> None: + if isinstance(aliases, str): + raise TypeError('aliases must be a list of names, not a string') + if aliases and registered_model_name is None: + raise ValueError('aliases require registered_model_name') + for alias in aliases: + check_model_alias(alias) + + def _dataset_source(entry: Mapping[str, Optional[str]]) -> Any: connector = (entry.get('connector') or '').upper() location = entry.get('location') diff --git a/packages/kumo-engine/kumo/engine/trainer/_provenance.py b/packages/kumo-engine/kumo/engine/trainer/_provenance.py index ff84ca7a3..f7dec8807 100644 --- a/packages/kumo-engine/kumo/engine/trainer/_provenance.py +++ b/packages/kumo-engine/kumo/engine/trainer/_provenance.py @@ -15,6 +15,7 @@ BundleTrainingTable, FitTiming, SourceTableEntry, + TrackingRef, read_manifest, stamp, write_manifest, @@ -33,6 +34,7 @@ def write_provenance( started_at: datetime, fit_mode: Optional[str], snapshot: Optional[GraphSnapshot] = None, + tracked_run_id: Optional[str] = None, ) -> None: from kumo_core.artifacts import PROVENANCE_FILE, add_bundle_file @@ -51,6 +53,8 @@ def write_provenance( training_table=_training_table(train_table), source_tables=_source_tables(snapshot), fit_mode=fit_mode, + tracking=None if tracked_run_id is None else TrackingRef( + run_id=tracked_run_id), **stamp(), )) add_bundle_file(bundle_dir, PROVENANCE_ROLE, PROVENANCE_FILE) diff --git a/packages/kumo-engine/kumo/engine/trainer/trainer.py b/packages/kumo-engine/kumo/engine/trainer/trainer.py index 80cee89e7..8edaaebda 100644 --- a/packages/kumo-engine/kumo/engine/trainer/trainer.py +++ b/packages/kumo-engine/kumo/engine/trainer/trainer.py @@ -255,8 +255,7 @@ def _publish(training_result: TrainingResult, name: str(getattr(spec, name)) for name in ('spec_version', 'predictive_query', 'snapshot_id') } - if training_result.bundle_id: - metadata[BUNDLE_ID_KEY] = training_result.bundle_id + metadata.update(registry_pointers(training_result)) location = export_config.location alias = location.alias if location else None if location and alias: @@ -463,7 +462,7 @@ def fit( events.emit('fit_ended', metrics={ **result.metrics, 'seconds': time.monotonic() - fit_start }, params={'status': 'succeeded'}) - session.finish(result, None) + session.finish(result, session.log_model(result, snapshot)) return result def _fit( @@ -673,7 +672,8 @@ def _fit( provenance=dict(train_table=train_table, warm_start_bundle_id=warm_start_bundle_id, started_at=started_at, fit_mode=fit_mode, - snapshot=snapshot), + snapshot=snapshot, + tracked_run_id=run_id if tracking.enabled else None), ) def _finish_fit( @@ -1035,13 +1035,7 @@ def load_from_connector( str(bundle_dir), path=address.path, location=address.location) trainer = cls._load_bundle(bundle_dir, embedding_models) - recorded = (getattr(published, 'metadata', None) - or {}).get(BUNDLE_ID_KEY) - if recorded and trainer.bundle_id and recorded != trainer.bundle_id: - warnings.warn( - f"The registry records bundle {recorded} for this version, " - f"but the fetched bundle is {trainer.bundle_id}.", UserWarning, - stacklevel=2) + warn_if_other_bundle(getattr(published, 'metadata', None), trainer) return trainer @classmethod @@ -1077,3 +1071,17 @@ def set_model_alias(connector: Connector, location: ModelRegistryLocation, raise NotImplementedError( f'{type(connector).__name__} cannot set model aliases') sink.set_model_alias(cast(SourceConnector, connector), location, alias) + + +def warn_if_other_bundle(metadata: Optional[Mapping[str, Any]], + trainer: Trainer) -> None: + recorded = (metadata or {}).get(BUNDLE_ID_KEY) + if recorded and trainer.bundle_id and recorded != trainer.bundle_id: + warnings.warn( + f"The registry records bundle {recorded} for this version, but " + f"the fetched bundle is {trainer.bundle_id}.", UserWarning, + stacklevel=3) + + +def registry_pointers(result: TrainingResult) -> Dict[str, str]: + return {BUNDLE_ID_KEY: result.bundle_id} if result.bundle_id else {} diff --git a/packages/kumo-engine/test/test_bundle_provenance.py b/packages/kumo-engine/test/test_bundle_provenance.py index 608564460..8fd0ba3b4 100644 --- a/packages/kumo-engine/test/test_bundle_provenance.py +++ b/packages/kumo-engine/test/test_bundle_provenance.py @@ -37,6 +37,7 @@ def test_fit_records_provenance(fitted): source='pquery', snapshot=snapshot.id) assert provenance.source_tables == snapshot.manifest.parents.source_tables assert provenance.fit_mode == 'refit_trainval' + assert provenance.tracking is None assert re.fullmatch('[0-9a-f]{64}', trainer.bundle_id) assert trainer.bundle_id == result.bundle_id == provenance.id assert kumo.Trainer.load(result.bundle_dir).bundle_id == provenance.id diff --git a/packages/kumo-engine/test/test_mlflow_model.py b/packages/kumo-engine/test/test_mlflow_model.py new file mode 100644 index 000000000..bb4dafcd1 --- /dev/null +++ b/packages/kumo-engine/test/test_mlflow_model.py @@ -0,0 +1,213 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. +# All rights reserved. +# SPDX-License-Identifier: Apache-2.0 + +import json +import warnings +from types import SimpleNamespace + +import pandas as pd +import pytest +from kumoapi.model_plan import ModelPlan +from kumoapi.plugin import PublishedModel +from test_mlflow_tracking import ( # noqa: F401 + _runs, + table_and_snapshot, + tracking_uri, +) + +import kumo.engine as kumo +from kumo.engine._scratch import get_scratch_dir + +mlflow = pytest.importorskip('mlflow') + + +def _plan(): + plan = ModelPlan() + plan.training_job.num_experiments = 1 + plan.training_job.disable_explain = True + plan.optimization.max_epochs = 2 + plan.optimization.max_steps_per_epoch = 2 + return plan + + +def _sorted(frame): + return frame.sort_values('ENTITY').reset_index(drop=True) + + +def test_fit_logs_registers_and_serves_the_model(table_and_snapshot, + tmp_path, caplog, + monkeypatch): + from kumo.engine.integrations.mlflow import MlflowTracking, load_model + + monkeypatch.setenv('KUMO_SCHEDULER', 'airflow') + monkeypatch.setenv('KUMO_JOB_RUN_ID', 'run-7') + table, snapshot = table_and_snapshot + plan = _plan() + tracker = MlflowTracking(log_system_metrics=False, + registered_model_name='m', aliases=('champion', )) + result = kumo.Trainer(plan).fit(table, snapshot=snapshot, tracking=tracker) + + assert 'MLflow tracking failed' not in caplog.text + parent, = [ + run for run in _runs(mlflow.MlflowClient()) + if 'mlflow.parentRunId' not in run.data.tags + ] + model, = mlflow.search_logged_models(output_format='list') + assert model.source_run_id == parent.info.run_id + metrics = {metric.key: metric.value for metric in model.metrics} + assert metrics == {**result.metrics, 'seconds': metrics['seconds']} + version = mlflow.MlflowClient().get_model_version_by_alias('m', 'champion') + assert version.source == model.model_uri + assert {k: v for k, v in parent.data.tags.items() + if k.startswith('kumo.')} == { + 'kumo.kind': 'fit', + 'kumo.run_id': parent.data.tags['kumo.run_id'], + 'kumo.bundle_id': result.bundle_id, + 'kumo.scheduler': 'airflow', + 'kumo.job_run_id': 'run-7', + } + assert tracker.registered == PublishedModel( + name='m', version=str(version.version), + uri=f'models:/m/{version.version}') + + info = mlflow.models.get_model_info('models:/m@champion') + assert info.metadata == {'kumo_bundle_id': result.bundle_id} + provenance = json.loads(mlflow.artifacts.load_text( + f'{model.artifact_location}/artifacts/provenance.json')) + assert provenance == result.provenance + assert provenance['tracking'] == { + 'run_id': parent.data.tags['kumo.run_id'] + } + assert [(c['name'], c['type']) for c in info.signature.inputs.to_dict() + ] == [('ENTITY', 'long'), ('TIMESTAMP', 'datetime')] + assert [(c['name'], c['type']) for c in info.signature.outputs.to_dict() + ] == [('ENTITY', 'long'), ('TARGET_PRED', 'double')] + + location = snapshot.export( + kumo.FileConnector(root_dir=str(tmp_path / 'exports')), 'snapshots') + served = mlflow.pyfunc.load_model('models:/m@champion').predict( + pd.DataFrame({'ENTITY': range(0, 400, 7)}), + params={'snapshot': str(tmp_path / 'exports' / location)}) + assert list(served) == ['ENTITY', 'TARGET_PRED'] + assert len(served) == len(range(0, 400, 7)) + assert load_model('models:/m@champion').bundle_id == result.bundle_id + + original = mlflow.models.Model.load + + def other_bundle(path): + model = original(path) + model.metadata['kumo_bundle_id'] = 'other' + return model + + with pytest.MonkeyPatch.context() as patch, pytest.warns( + UserWarning, match='records bundle other'): + patch.setattr(mlflow.models.Model, 'load', other_bundle) + load_model('models:/m@champion') + + +def test_logged_model_scores_the_query_population_and_timed_rows( + fitted, tracking_uri, tmp_path): + from kumo.engine.integrations.mlflow import log_model + + trainer, table, snapshot = fitted + location = snapshot.export( + kumo.FileConnector(root_dir=str(tmp_path / 'exports')), 'snapshots') + + info = log_model(trainer, snapshot=snapshot, + serving_snapshot=str(tmp_path / 'exports' / location)) + + assert mlflow.get_run(info.run_id).info.status == 'FINISHED' + requirements = mlflow.pyfunc.get_model_dependencies(info.model_uri) + assert f'kumo-engine[gcs,s3]=={kumo.__version__}' in open( + requirements).read().splitlines() + assert {metric.key + for metric in mlflow.get_logged_model(info.model_id).metrics + } == set(trainer._training_result.metrics) + assert [c['name'] for c in info.signature.outputs.to_dict() + ] == ['ENTITY', 'TARGET_PRED', 'False_PROB', 'True_PROB'] + pyfunc = mlflow.pyfunc.load_model(info.model_uri) + params = { + 'snapshot': str(tmp_path / 'exports' / location), + 'prediction_time': str(pd.Timestamp(table.timestamps[0])), + 'binary_classification_threshold': 0.5, + } + expected = _sorted( + trainer.predict(table, snapshot=snapshot, + binary_classification_threshold=0.5).frame) + empty = pd.DataFrame({'ENTITY': pd.Series([], dtype='int64')}) + tables = set((get_scratch_dir() / 'prediction_tables').glob('*')) + + assert pyfunc.predict(empty, params=params).empty + served = pyfunc.unwrap_python_model()._snapshots + assert list(served) == [params['snapshot']] + pd.testing.assert_frame_equal( + _sorted( + pyfunc.predict(empty, params={ + **params, 'snapshot': None, 'population': True + })), expected) + for rows, population in ((empty, True), + (pd.DataFrame({'ENTITY': range(50)}), False)): + pd.testing.assert_frame_equal( + _sorted( + pyfunc.predict(rows, + params={**params, 'population': population})), + expected) + scratch = pyfunc.unwrap_python_model()._trainer.scratch_dir + assert not list((scratch / 'runs').glob('*')) + assert set((get_scratch_dir() / 'prediction_tables').glob('*')) == tables + + +@pytest.mark.parametrize('options', [ + dict(registered_model_name='m', aliases=('SageMakerLifecycle-prod', )), + dict(log_model=True, aliases=('champion', )), +]) +def test_invalid_registration_is_refused(tracking_uri, options): + from kumo.engine.integrations.mlflow import MlflowTracking + + with pytest.raises(ValueError): + MlflowTracking(**options) + + +def test_fit_waits_for_model_logging_and_fails_the_run_if_it_fails( + monkeypatch): + import time + + from kumo.engine import _tracking + from kumo.engine._tracking import FitContext, TrackingSession + + monkeypatch.setattr(_tracking, 'FINISH_SECONDS', 0.01) + + class Tracker: + def __init__(self, fail): + self.fail, self.calls = fail, [] + + def start(self, record): + self.calls.append('start') + + def on_trial(self, record, event): + pass + + def log_model(self, result, snapshot): + time.sleep(0.2) + self.calls.append('log_model') + if self.fail: + raise RuntimeError('upload failed') + + def finish(self, record, error): + self.calls.append(('finish', error)) + + result = SimpleNamespace(metrics={}, bundle_dir='missing', bundle_id='b') + for fail in (False, True): + tracker = Tracker(fail) + session = TrackingSession(tracker) + session.start(lambda: FitContext('r', 'q', {})) + with warnings.catch_warnings(record=True) as caught: + warnings.simplefilter('always') + error = session.log_model(result, None) + session.finish(result, error) + session._worker.join(5) + assert tracker.calls[:2] == ['start', 'log_model'] + assert tracker.calls[2] == ('finish', error) + assert (error is not None) is fail + assert any('upload failed' in str(w.message) for w in caught) is fail diff --git a/packages/kumo-engine/test/test_mlflow_tracking.py b/packages/kumo-engine/test/test_mlflow_tracking.py index c55dd22d6..0babf6919 100644 --- a/packages/kumo-engine/test/test_mlflow_tracking.py +++ b/packages/kumo-engine/test/test_mlflow_tracking.py @@ -108,7 +108,8 @@ def test_fit_logs_a_run_per_fit_and_per_trial(table_and_snapshot, tmp_path, assert client.get_experiment(parent.info.experiment_id).name == 'ents' assert parent.info.status == 'FINISHED' assert {k for k in parent.data.tags if k.startswith('kumo.')} == { - 'kumo.kind', 'kumo.run_id', 'kumo.dropped_params'} + 'kumo.kind', 'kumo.run_id', 'kumo.bundle_id', 'kumo.dropped_params'} + assert parent.data.tags['kumo.bundle_id'] == result.bundle_id assert int(parent.data.tags['kumo.dropped_params']) >= 1 params = parent.data.params assert json.loads(params['optimization.base_lr']) == [0.01, 0.001] From 136d779b0e7e2e80760949e8da36134f168353e8 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Thu, 22 Oct 2026 01:29:12 +0000 Subject: [PATCH 115/123] Score each pyfunc predict in its own scratch dir; state MLflow 3.13 The pyfunc model's predict deleted every directory that appeared under the shared prediction_tables/ and the trainer's runs/ during the call, so concurrent calls (other threads, or other serving processes on the same disk) lost directories they were still using; and it never removed /predict_output/, which holds the scored rows. The README said kumo-engine needs MLflow 3.11 while the extra said 3.0. - kumo.engine._scratch gains scoped_scratch_dir(path): a context variable that get_scratch_dir() reads before the configured root. - predict runs inside a TemporaryDirectory under the trainer's scratch dir with that scope, so everything the call creates (prediction table, run dir, predict output) is removed with it, on success or error, and nothing else is touched. - README: the mlflow extra needs MLflow 3.13 or later (DiskGraph pins pyarrow 24; older MLflow releases exclude it), stated once. Verified: test_mlflow_model passes; its predict test now also checks a directory another call creates meanwhile survives and the trainer's scratch dir is left empty (fails on the previous cleanup). Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/README.md | 10 +++-- packages/kumo-engine/kumo/engine/_scratch.py | 19 +++++++++- .../kumo/engine/integrations/_mlflow_model.py | 38 ++++++++----------- .../kumo-engine/test/test_mlflow_model.py | 17 +++++++-- 4 files changed, 51 insertions(+), 33 deletions(-) diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index a05e7f2c9..a8680fbc6 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -475,11 +475,13 @@ every snapshot it has loaded (no eviction), so its disk must hold them. With `predict` uses it when no `snapshot` param is given. `params={"population": True}` scores every entity and returns the whole frame in memory; for large populations use `Trainer.predict` with a -`PredictionOutputConfig`. +`PredictionOutputConfig`. Each `predict` call works in its own scratch +directory and removes it before returning. -SageMaker managed MLflow servers run MLflow 3.0; kumo-engine needs a newer -client (3.11 or later, since DiskGraph pins pyarrow 24). A 3.17 client against -a 3.0 server handles logging, registration, aliases and `load_model`. +The `mlflow` extra needs an MLflow 3.13 or later client: DiskGraph pins +pyarrow 24, which older MLflow releases exclude. SageMaker managed MLflow +servers run MLflow 3.0; a 3.17 client against a 3.0 server handles logging, +registration, aliases and `load_model`. On Databricks, the parent folder of an MLflow experiment path must exist. Registering to Unity Catalog from outside Databricks also needs `boto3`, which diff --git a/packages/kumo-engine/kumo/engine/_scratch.py b/packages/kumo-engine/kumo/engine/_scratch.py index fb0c62a3f..144011342 100644 --- a/packages/kumo-engine/kumo/engine/_scratch.py +++ b/packages/kumo-engine/kumo/engine/_scratch.py @@ -36,11 +36,15 @@ import hashlib import uuid +from contextlib import contextmanager +from contextvars import ContextVar from pathlib import Path -from typing import Union +from typing import Iterator, Optional, Union _DEFAULT_ROOT = Path.home() / ".cache" / "kumo-engine" _root = _DEFAULT_ROOT +_scoped_root: ContextVar[Optional[Path]] = ContextVar('kumo_scratch_root', + default=None) def set_scratch_dir(path: Union[str, Path]) -> None: @@ -66,7 +70,18 @@ def set_scratch_dir(path: Union[str, Path]) -> None: def get_scratch_dir() -> Path: - return _root + return _scoped_root.get() or _root + + +@contextmanager +def scoped_scratch_dir(path: Path) -> Iterator[None]: + r"""Nests this thread's (context's) new scratch directories under + ``path`` instead of the configured root.""" + token = _scoped_root.set(path) + try: + yield + finally: + _scoped_root.reset(token) def new_run_id() -> str: diff --git a/packages/kumo-engine/kumo/engine/integrations/_mlflow_model.py b/packages/kumo-engine/kumo/engine/integrations/_mlflow_model.py index 4d30d8191..314964044 100644 --- a/packages/kumo-engine/kumo/engine/integrations/_mlflow_model.py +++ b/packages/kumo-engine/kumo/engine/integrations/_mlflow_model.py @@ -1,7 +1,6 @@ # SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. # All rights reserved. # SPDX-License-Identifier: Apache-2.0 -import shutil import tempfile from pathlib import Path from typing import Any, Dict, Mapping, Optional, Tuple @@ -58,7 +57,7 @@ def _snapshot(self, uri: str) -> GraphSnapshot: def predict(trainer: Any, snapshot: GraphSnapshot, rows: pd.DataFrame, params: Mapping[str, Any]) -> pd.DataFrame: - from kumo.engine._scratch import prediction_table_scratch_dir + from kumo.engine._scratch import scoped_scratch_dir from kumo.engine.connector.file import FileConnector time = params.get('prediction_time') @@ -68,29 +67,22 @@ def predict(trainer: Any, snapshot: GraphSnapshot, rows: pd.DataFrame, 'binary_classification_threshold'), num_classes_to_return=params.get('num_classes_to_return'), ) - scratch = [ - trainer.scratch_dir / 'runs', - prediction_table_scratch_dir('-').parent - ] - before = {path for parent in scratch for path in parent.glob('*')} trainer.scratch_dir.mkdir(parents=True, exist_ok=True) - with tempfile.TemporaryDirectory(dir=trainer.scratch_dir) as tmp: - try: - if len(rows) == 0: - return trainer.predict_snapshot( - snapshot, prediction_time=None - if time is None else time.to_pydatetime(), **options).frame - rows = rows.rename(columns={'ENTITY': 'ENTITY1'}) - if time is not None and 'TIMESTAMP' not in rows: - rows = rows.assign(TIMESTAMP=time) - rows.to_parquet(Path(tmp) / 'rows.parquet', index=False) + with tempfile.TemporaryDirectory(dir=trainer.scratch_dir) as tmp, \ + scoped_scratch_dir(Path(tmp) / 'scratch'): + if len(rows) == 0: return trainer.predict_snapshot( - snapshot, entities=FileConnector(root_dir=tmp)['rows.parquet'], - **options).frame - finally: - after = {path for parent in scratch for path in parent.glob('*')} - for path in after - before: - shutil.rmtree(path, ignore_errors=True) + snapshot, prediction_time=None + if time is None else time.to_pydatetime(), **options).frame + rows = rows.rename(columns={'ENTITY': 'ENTITY1'}) + if time is not None and 'TIMESTAMP' not in rows: + rows = rows.assign(TIMESTAMP=time) + (Path(tmp) / 'rows').mkdir() + rows.to_parquet(Path(tmp) / 'rows' / 'rows.parquet', index=False) + return trainer.predict_snapshot( + snapshot, + entities=FileConnector(root_dir=str(Path(tmp) / 'rows'))[ + 'rows.parquet'], **options).frame def snapshot_location(uri: str) -> Tuple[Connector, str]: diff --git a/packages/kumo-engine/test/test_mlflow_model.py b/packages/kumo-engine/test/test_mlflow_model.py index bb4dafcd1..04e7c879d 100644 --- a/packages/kumo-engine/test/test_mlflow_model.py +++ b/packages/kumo-engine/test/test_mlflow_model.py @@ -107,7 +107,7 @@ def other_bundle(path): def test_logged_model_scores_the_query_population_and_timed_rows( - fitted, tracking_uri, tmp_path): + fitted, tracking_uri, tmp_path, monkeypatch): from kumo.engine.integrations.mlflow import log_model trainer, table, snapshot = fitted @@ -136,7 +136,15 @@ def test_logged_model_scores_the_query_population_and_timed_rows( trainer.predict(table, snapshot=snapshot, binary_classification_threshold=0.5).frame) empty = pd.DataFrame({'ENTITY': pd.Series([], dtype='int64')}) - tables = set((get_scratch_dir() / 'prediction_tables').glob('*')) + tables = get_scratch_dir() / 'prediction_tables' + before = set(tables.glob('*')) + predict = kumo.Trainer.predict + + def predict_beside_another_call(self, *args, **kwargs): + (tables / 'other-call').mkdir(parents=True, exist_ok=True) + return predict(self, *args, **kwargs) + + monkeypatch.setattr(kumo.Trainer, 'predict', predict_beside_another_call) assert pyfunc.predict(empty, params=params).empty served = pyfunc.unwrap_python_model()._snapshots @@ -154,8 +162,8 @@ def test_logged_model_scores_the_query_population_and_timed_rows( params={**params, 'population': population})), expected) scratch = pyfunc.unwrap_python_model()._trainer.scratch_dir - assert not list((scratch / 'runs').glob('*')) - assert set((get_scratch_dir() / 'prediction_tables').glob('*')) == tables + assert list(scratch.iterdir()) == [] + assert set(tables.glob('*')) == before | {tables / 'other-call'} @pytest.mark.parametrize('options', [ @@ -211,3 +219,4 @@ def finish(self, record, error): assert tracker.calls[2] == ('finish', error) assert (error is not None) is fail assert any('upload failed' in str(w.message) for w in caught) is fail + From bb34a54bd8f70f8eb4bbcb32fa0a79db17fc8a2f Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Thu, 22 Oct 2026 01:32:35 +0000 Subject: [PATCH 116/123] Bound the model-logging wait; give only the upload a longer timeout fit waited for the tracker's model logging with no limit, so a stuck upload or a dead tracking thread hung the fit; and the fit's 30 s MLflow HTTP timeout also applied to the model upload. - TrackingSession.log_model waits while the tracking thread is alive, up to MODEL_SECONDS (1 h). If the thread stops or the hour passes it warns, ends the tracker's run as failed from the fit thread and returns the error; fit still returns its result. - MlflowTracking.log_model raises MLFLOW_HTTP_REQUEST_TIMEOUT to 600 s for the upload only, and only when the fit set the 30 s limit (the user had not set it), then puts the limit back. A model whose upload finishes after its run was ended is not registered or aliased (warning). Verified: test_mlflow_model (slow upload and dead thread both return within the bound and end the run; the upload sees 600 s, the run 30 s, nothing is left set and a late upload is not registered), test_mlflow_tracking, test_tracking_contract and test_snowflake_tracking pass. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/README.md | 8 +- packages/kumo-engine/kumo/engine/_tracking.py | 27 +++++-- .../kumo/engine/integrations/mlflow.py | 37 ++++++--- .../kumo-engine/test/test_mlflow_model.py | 79 +++++++++++++++++++ 4 files changed, 134 insertions(+), 17 deletions(-) diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index a8680fbc6..b1353df6a 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -447,9 +447,11 @@ that scores where `kumo-engine[s3,gcs]` of the same version is installed (its pip requirement); `load_model(uri)` restores the `Trainer`. `MlflowTracking(registered_model_name=..., aliases=...)` logs, registers and aliases the fit's model on the fit run (a failed fit logs none). `fit()` waits -for the upload and registration however long they take, before it returns; -if they fail, `fit()` warns, still returns its result, and the run ends -`FAILED`. The model's metadata is `kumo_bundle_id`; its `provenance.json` +for the upload and registration before it returns, for up to an hour, with a +600 s MLflow HTTP timeout during the upload (unless +`MLFLOW_HTTP_REQUEST_TIMEOUT` is set); if they fail, the tracking thread stops +or the hour passes, `fit()` warns, still returns its result, the run ends +`FAILED`, and a model that finishes uploading later is not registered. The model's metadata is `kumo_bundle_id`; its `provenance.json` artifact is the bundle's. A tracker can do the same through the optional `log_model(result, snapshot)` protocol member. diff --git a/packages/kumo-engine/kumo/engine/_tracking.py b/packages/kumo-engine/kumo/engine/_tracking.py index 6fd606ac5..2816cf102 100644 --- a/packages/kumo-engine/kumo/engine/_tracking.py +++ b/packages/kumo-engine/kumo/engine/_tracking.py @@ -41,6 +41,7 @@ # never stalls training; these bound how long the fit waits for it. QUEUE_SIZE = 1000 FINISH_SECONDS = 30.0 +MODEL_SECONDS = 3600.0 @dataclass(frozen=True) @@ -233,8 +234,9 @@ class Tracking(Protocol): (`None` if tracking stopped early, which should end the run as failed). Optional members: ``prepare()``, called first on the fit's own thread; ``log_model(result, snapshot)``, called after a fit that succeeded and - before `finish`, which the fit waits for without a time limit (an error - ends the run as failed); and ``tags`` (extra fit-run tags). + before `finish`, which the fit waits for while the tracking thread is + alive, up to an hour (an error, a stopped thread or the time limit ends + the run as failed); and ``tags`` (extra fit-run tags). """ def start(self, record: RunRecord) -> None: ... @@ -314,13 +316,28 @@ def log() -> None: tracker = self._tracker if tracker is not None: getattr(tracker, 'log_model')(result, snapshot) - except Exception as error: + except BaseException as error: failed.append(error) finally: done.set() - self._jobs.put(log) - done.wait() + worker = self._worker + deadline = time.monotonic() + MODEL_SECONDS + try: + self._jobs.put(log, timeout=MODEL_SECONDS) + except queue.Full: + pass + while not done.wait(1.0): + if worker.is_alive() and time.monotonic() < deadline: + continue + failed.append( + TimeoutError(f'it did not finish within {MODEL_SECONDS:.0f}s') + if worker.is_alive() else + RuntimeError('the tracking thread stopped')) + tracker, self._tracker = self._tracker, None + if tracker is not None: + _abandon(tracker) + break if failed: warnings.warn(f'Could not log the model: {failed[0]}', UserWarning, stacklevel=3) diff --git a/packages/kumo-engine/kumo/engine/integrations/mlflow.py b/packages/kumo-engine/kumo/engine/integrations/mlflow.py index f4186b257..023107f60 100644 --- a/packages/kumo-engine/kumo/engine/integrations/mlflow.py +++ b/packages/kumo-engine/kumo/engine/integrations/mlflow.py @@ -19,6 +19,7 @@ Any, Callable, Dict, + FrozenSet, Iterator, Mapping, Optional, @@ -51,6 +52,8 @@ 'MLFLOW_HTTP_REQUEST_MAX_RETRIES': '2', 'MLFLOW_HTTP_REQUEST_TIMEOUT': '30', } +# Model upload only, and only where the limits above apply. +_UPLOAD_HTTP = {'MLFLOW_HTTP_REQUEST_TIMEOUT': '600'} _PATH_CONNECTORS = ('LOCAL_FILE', 'S3', 'GCS', 'ADLS') @@ -116,6 +119,7 @@ def _reset(self) -> None: self._children: Dict[Tuple[int, int], str] = {} self._artifacts: Set[str] = set() self._model_id: Optional[str] = None + self._http_owned: FrozenSet[str] = frozenset() self._guard = ExitStack() def prepare(self) -> None: @@ -126,7 +130,9 @@ def start(self, record: RunRecord) -> None: self._reset() self.run_id = None self.registered = None - self._guard.enter_context(_limited_http()) + self._http_owned = frozenset(name for name in _HTTP_LIMITS + if name not in os.environ) + self._guard.enter_context(_limited_http(self._http_owned)) try: autologging = import_provider('mlflow.utils.autologging_utils', 'mlflow') @@ -180,11 +186,25 @@ def on_trial(self, record: RunRecord, event: Event) -> None: def log_model(self, result: 'TrainingResult', snapshot: 'GraphSnapshot') -> None: - if not self.logs_model or self._parent is None: + run_id = self._parent + if not self.logs_model or run_id is None: + return + upload = { + name: value + for name, value in _UPLOAD_HTTP.items() if name in self._http_owned + } + os.environ.update(upload) + try: + info = _log_model(self._mlflow, result, snapshot, name='model', + run_id=run_id, + serving_snapshot=self.serving_snapshot) + finally: + if self._parent == run_id: + os.environ.update({name: _HTTP_LIMITS[name] for name in upload}) + if self._parent != run_id: + logger.warning('The fit run %s ended before its model was ' + 'logged; the model is not registered', run_id) return - info = _log_model(self._mlflow, result, snapshot, name='model', - run_id=self._parent, - serving_snapshot=self.serving_snapshot) self._model_id = info.model_id if self.registered_model_name is not None: self.registered = _register(self._mlflow, info, @@ -472,11 +492,10 @@ def _quietly(function: Callable[..., Any], *args: Any) -> None: @contextmanager -def _limited_http() -> Iterator[None]: - unset = [name for name in _HTTP_LIMITS if name not in os.environ] - os.environ.update({name: _HTTP_LIMITS[name] for name in unset}) +def _limited_http(names: FrozenSet[str]) -> Iterator[None]: + os.environ.update({name: _HTTP_LIMITS[name] for name in names}) try: yield finally: - for name in unset: + for name in names: os.environ.pop(name, None) diff --git a/packages/kumo-engine/test/test_mlflow_model.py b/packages/kumo-engine/test/test_mlflow_model.py index 04e7c879d..29d6431c7 100644 --- a/packages/kumo-engine/test/test_mlflow_model.py +++ b/packages/kumo-engine/test/test_mlflow_model.py @@ -220,3 +220,82 @@ def finish(self, record, error): assert (error is not None) is fail assert any('upload failed' in str(w.message) for w in caught) is fail + +@pytest.mark.parametrize('stall', ['slow upload', 'dead thread']) +def test_model_logging_wait_is_bounded(monkeypatch, stall): + import threading + + from kumo.engine import _tracking + from kumo.engine._tracking import FitContext, TrackingSession + + monkeypatch.setattr(_tracking, 'MODEL_SECONDS', 0.5) + release = threading.Event() + + class Tracker: + calls = [] + + def start(self, record): + pass + + def on_trial(self, record, event): + pass + + def log_model(self, result, snapshot): + release.wait(30) + + def finish(self, record, error): + self.calls.append((record, error)) + + tracker = Tracker() + session = TrackingSession(tracker) + session.start(lambda: FitContext('r', 'q', {})) + if stall == 'dead thread': + session._submit(lambda: (_ for _ in ()).throw(SystemExit())) + session._worker.join(5) + with pytest.warns(UserWarning, match='Could not log the model'): + error = session.log_model(SimpleNamespace(), None) + release.set() + session.finish(None, error) + + assert type(error) is (TimeoutError + if stall == 'slow upload' else RuntimeError) + assert tracker.calls == [(None, None)] + + +def test_model_upload_gets_a_longer_http_timeout_and_a_late_one_is_dropped( + tracking_uri, monkeypatch, caplog): + import os + + from test_tracking_contract import CONTEXT + + from kumo.engine._tracking import TrackingSession + from kumo.engine.integrations import mlflow as integration + + for name in integration._HTTP_LIMITS: + monkeypatch.delenv(name, raising=False) + tracker = integration.MlflowTracking(log_system_metrics=False, + registered_model_name='m') + seen = [] + + def log_model(mlflow, result, snapshot, **kwargs): + seen.append(os.environ.get('MLFLOW_HTTP_REQUEST_TIMEOUT')) + if len(seen) == 2: + tracker.finish(None, None) + return SimpleNamespace(model_id=None, model_uri='runs:/x/model') + + monkeypatch.setattr(integration, '_log_model', log_model) + monkeypatch.setattr(integration, '_register', lambda *args: 'registered') + for _ in range(2): + session = TrackingSession(tracker) + session.start(lambda: CONTEXT) + assert session.log_model(SimpleNamespace(), None) is None + during = os.environ.get('MLFLOW_HTTP_REQUEST_TIMEOUT') + registered, tracker.registered = tracker.registered, None + session.finish(None, None) + session._worker.join(5) + assert registered == ('registered' if len(seen) == 1 else None) + assert during == ('30' if len(seen) == 1 else None) + + assert seen == ['600', '600'] + assert 'MLFLOW_HTTP_REQUEST_TIMEOUT' not in os.environ + assert 'the model is not registered' in caplog.text From 5255ad94265392e78c139e96dfed064505c251fc Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Thu, 22 Oct 2026 18:59:29 +0000 Subject: [PATCH 117/123] Read provenance and scheduler context as dataclasses for MLflow log_model's dataset inputs now come from BundleProvenance's source tables and training table record, and the scheduler tags from SchedulerContext. The tracked run id is BundleProvenance.tracking (a TrackingRef); the provenance.json an MLflow model carries is unchanged. Verified with test_mlflow_model.py and test_bundle_provenance.py. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/kumo/engine/_tracking.py | 10 ++++++---- .../kumo/engine/integrations/mlflow.py | 19 ++++++++++++------- .../kumo-engine/test/test_mlflow_model.py | 2 +- 3 files changed, 19 insertions(+), 12 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/_tracking.py b/packages/kumo-engine/kumo/engine/_tracking.py index 2816cf102..6464c8b40 100644 --- a/packages/kumo-engine/kumo/engine/_tracking.py +++ b/packages/kumo-engine/kumo/engine/_tracking.py @@ -169,11 +169,13 @@ def _user_tags(tags: Optional[Mapping[str, Any]], def _scheduler_tags() -> Dict[str, str]: from kumo.engine._provenance import scheduler_context - scheduler = scheduler_context() or {} + scheduler = scheduler_context() + if scheduler is None: + return {} tags = { - 'kumo.scheduler': scheduler.get('platform'), - 'kumo.job_id': scheduler.get('job_id'), - 'kumo.job_run_id': scheduler.get('job_run_id'), + 'kumo.scheduler': scheduler.platform, + 'kumo.job_id': scheduler.job_id, + 'kumo.job_run_id': scheduler.job_run_id, } return {key: str(value) for key, value in tags.items() if value} diff --git a/packages/kumo-engine/kumo/engine/integrations/mlflow.py b/packages/kumo-engine/kumo/engine/integrations/mlflow.py index 023107f60..c32dde826 100644 --- a/packages/kumo-engine/kumo/engine/integrations/mlflow.py +++ b/packages/kumo-engine/kumo/engine/integrations/mlflow.py @@ -31,6 +31,7 @@ from kumoapi.plugin import PublishedModel, check_model_alias from kumo.engine._events import Event +from kumo.engine._manifest import BundleProvenance from kumo.engine._tracking import DROPPED_PARAMS, INPUT_FIELDS, RunRecord from kumo.engine._version import __version__ from kumo.engine.connector._extras import import_provider @@ -299,7 +300,7 @@ def log_model( raise ValueError('log_model requires a fitted or loaded Trainer') with _in_run(mlflow, run_id) as active: _log_inputs(mlflow, mlflow.MlflowClient(), active, - _provenance_inputs(result.provenance or {})) + _provenance_inputs(result.provenance)) info = _log_model(mlflow, result, snapshot, name=name, run_id=active, serving_snapshot=serving_snapshot) if result.metrics: @@ -370,15 +371,19 @@ def _log_model(mlflow: Any, result: 'TrainingResult', def _provenance_inputs( - provenance: Mapping[str, Any]) -> Dict[str, Mapping[str, Any]]: - tables = dict(provenance.get('source_tables') or {}) - custom = provenance.get('training_table') or {} - if custom.get('location'): + provenance: Optional[BundleProvenance] +) -> Dict[str, Mapping[str, Any]]: + if provenance is None: + return {} + tables = dict(provenance.source_tables or {}) + custom = (None if provenance.training_table is None else + provenance.training_table.source_table) + if custom is not None and custom.location: tables['training_table'] = custom return { - name: {key: entry.get(key) + name: {key: getattr(entry, key) for key in INPUT_FIELDS} - for name, entry in tables.items() if isinstance(entry, Mapping) + for name, entry in tables.items() } diff --git a/packages/kumo-engine/test/test_mlflow_model.py b/packages/kumo-engine/test/test_mlflow_model.py index 29d6431c7..bedad396a 100644 --- a/packages/kumo-engine/test/test_mlflow_model.py +++ b/packages/kumo-engine/test/test_mlflow_model.py @@ -75,7 +75,7 @@ def test_fit_logs_registers_and_serves_the_model(table_and_snapshot, assert info.metadata == {'kumo_bundle_id': result.bundle_id} provenance = json.loads(mlflow.artifacts.load_text( f'{model.artifact_location}/artifacts/provenance.json')) - assert provenance == result.provenance + assert provenance == result.provenance.to_dict() assert provenance['tracking'] == { 'run_id': parent.data.tags['kumo.run_id'] } From 4e852aae65400f7f1e6563dd3aaa654cbf484d2d Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 19:35:43 +0000 Subject: [PATCH 118/123] Add kumo.job() for scheduled job scripts A scheduler runs a Python script and needs two things back: one machine-readable result line, and an exit code that says whether a retry can help. A plain kumo-engine script prints logs, progress and warnings to stdout and exits 1 for every failure, and its scheduler job ids reach no manifest unless the script exports them. kumo.job() is a context manager for the script body. It records job_id/job_run_id (else KUMO_JOB_ID/KUMO_JOB_RUN_ID or the detected platform) so manifests and tracked runs carry them, sends logs to stderr, and on exit prints one JSON line to stdout: status, exit_code, the scheduler context, the ids and outputs passed to run.record(), warnings raised, and error on failure. A failed body exits 10 (a source refused the request), 20 (transient source, connection or timeout error), 30 (anything else) or 143 (SIGTERM). Verified: test_job covers the summary line, every exit-code class, SIGTERM, and the scheduler ids reaching a manifest. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/README.md | 22 +++ packages/kumo-engine/kumo/engine/__init__.py | 3 + packages/kumo-engine/kumo/engine/_job.py | 155 +++++++++++++++++++ packages/kumo-engine/test/test_job.py | 91 +++++++++++ 4 files changed, 271 insertions(+) create mode 100644 packages/kumo-engine/kumo/engine/_job.py create mode 100644 packages/kumo-engine/test/test_job.py diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index b1353df6a..36800c5aa 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -509,6 +509,28 @@ Catalog tables as Delta datasets. Both accept the same aliases | Snowflake | `SnowflakeConnector` (Snowflake Model Registry) | not available | | Plain VM | `FileConnector`, `S3Connector`, `GCSConnector` path (no aliases) | any MLflow tracking server | +## Scheduled jobs + +Wrap a job script's body in `kumo.job()` so a scheduler gets one JSON summary +line on stdout and an exit code it can act on: + +```python +import kumo.engine as kumo + +with kumo.job() as run: + snapshot = graph.snapshot() + result = kumo.Trainer(plan).fit(training_table, snapshot=snapshot) + run.record(bundle_id=result.bundle_id, snapshot_id=snapshot.id) +``` + +The summary carries `status`, `exit_code`, the scheduler context, the recorded +ids and outputs, warnings raised, and `error` on failure. Exit codes: 0 ok, 10 a +source refused the request (do not retry), 20 a transient source, connection or +timeout error (retry), 30 any other failure, 143 SIGTERM. Scheduler ids come +from `job(job_id=..., job_run_id=...)`, `KUMO_JOB_ID`/`KUMO_JOB_RUN_ID`, or the +detected platform, and are recorded in every manifest and tracking run the job +writes. Logs go to stderr. + ## BigQuery staged ingestion BigQuery streams through the Storage Read API by default. For large tables, diff --git a/packages/kumo-engine/kumo/engine/__init__.py b/packages/kumo-engine/kumo/engine/__init__.py index e220174b7..766f5875a 100644 --- a/packages/kumo-engine/kumo/engine/__init__.py +++ b/packages/kumo-engine/kumo/engine/__init__.py @@ -26,6 +26,7 @@ from kumoapi.table import Column from kumo.engine._events import Event +from kumo.engine._job import JobRun, job from kumo.engine._version import __version__ from kumo.engine.config import configure from kumo.engine.connector import ( @@ -63,6 +64,8 @@ "__version__", "configure", "Event", + "job", + "JobRun", "EmbeddingModelStore", "GloVeVectors", "TokenEmbeddingModel", diff --git a/packages/kumo-engine/kumo/engine/_job.py b/packages/kumo-engine/kumo/engine/_job.py new file mode 100644 index 000000000..b3d2f5742 --- /dev/null +++ b/packages/kumo-engine/kumo/engine/_job.py @@ -0,0 +1,155 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. +# All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +r"""Run a Python script as a scheduled job: :func:`job`.""" + +import contextlib +import json +import logging +import os +import signal +import sys +import traceback +import warnings +from typing import Any, Dict, Iterator, Mapping, NoReturn, Optional + +EXIT_OK = 0 +EXIT_REFUSED = 10 +EXIT_TRANSIENT = 20 +EXIT_FAILED = 30 +EXIT_TERMINATED = 143 + +_MAX_MESSAGE = 500 + + +class Terminated(BaseException): + r"""The process received SIGTERM.""" + + +class JobRun: + r"""What a job records for its summary line; see :func:`job`.""" + + def __init__(self) -> None: + self.summary: Dict[str, Any] = { + 'bundle_id': None, + 'snapshot_id': None, + 'run_id': None, + 'outputs': {}, + 'warnings': [], + } + + def record(self, *, bundle_id: Optional[str] = None, + snapshot_id: Optional[str] = None, + run_id: Optional[str] = None, + outputs: Optional[Mapping[str, Any]] = None) -> None: + r"""Adds ids and outputs to the summary; ``None`` leaves a field.""" + for key, value in (('bundle_id', bundle_id), + ('snapshot_id', snapshot_id), ('run_id', run_id)): + if value is not None: + self.summary[key] = value + self.summary['outputs'].update(outputs or {}) + + +def exit_code(error: BaseException) -> int: + r"""The exit code for a failure: 10 a source refused the request (do not + retry), 20 a transient source, connection or timeout error (retry), 30 + anything else, 143 SIGTERM.""" + from kumo_core.sources.errors import ( + PermanentSourceError, + TransientSourceError, + ) + + cause: Optional[BaseException] = error + while cause is not None: + if isinstance(cause, Terminated): + return EXIT_TERMINATED + if isinstance(cause, PermanentSourceError): + return EXIT_REFUSED + if isinstance(cause, + (TransientSourceError, ConnectionError, TimeoutError)): + return EXIT_TRANSIENT + cause = cause.__cause__ + return EXIT_FAILED + + +@contextlib.contextmanager +def job(*, job_id: Optional[str] = None, + job_run_id: Optional[str] = None) -> Iterator[JobRun]: + r"""Runs the body as one scheduled job. + + ``job_id``/``job_run_id`` (else ``KUMO_JOB_ID``/``KUMO_JOB_RUN_ID`` or the + detected scheduler) are recorded in the manifests and tracking tags the + body writes. Logs go to stderr. On exit one JSON line goes to stdout: + ``status``, ``exit_code``, the scheduler context, what the body passed to + :meth:`JobRun.record`, warnings raised, and ``error`` on failure. A failed + body exits the process with :func:`exit_code`; SIGTERM exits with 143. + + Example:: + + with kumo.job() as run: + result = Trainer(plan).fit(table, snapshot=snapshot) + run.record(bundle_id=result.bundle_id, snapshot_id=snapshot.id) + """ + from kumo.engine._provenance import scheduler_context + + logging.basicConfig(level=logging.INFO, stream=sys.stderr) + ids = {'KUMO_JOB_ID': job_id, 'KUMO_JOB_RUN_ID': job_run_id} + previous = {name: os.environ.get(name) for name in ids} + for name, value in ids.items(): + if value is not None: + os.environ[name] = value + run = JobRun() + shown = warnings.showwarning + + def show(message: Any, *args: Any, **kwargs: Any) -> None: + run.summary['warnings'].append(str(message)) + shown(message, *args, **kwargs) + + warnings.showwarning = show + error: Optional[BaseException] = None + try: + with _sigterm_raises(): + yield run + except (Exception, Terminated) as raised: + error = raised + finally: + warnings.showwarning = shown + code = EXIT_OK if error is None else exit_code(error) + line = { + 'event': 'kumo.engine.job', + 'status': 'succeeded' if error is None else 'failed', + 'exit_code': code, + 'scheduler': scheduler_context(), + **run.summary, + } + for name, value in previous.items(): + if value is None: + os.environ.pop(name, None) + else: + os.environ[name] = value + if error is not None: + traceback.print_exception(error, file=sys.stderr) + line['error'] = { + 'type': type(error).__name__, + 'message': str(error)[:_MAX_MESSAGE] + } + print(json.dumps(line, default=str), flush=True) + if error is not None: + raise SystemExit(code) from error + + +def _terminate(signum: int, frame: Any) -> NoReturn: + raise Terminated('Terminated by SIGTERM') + + +@contextlib.contextmanager +def _sigterm_raises() -> Iterator[None]: + try: + previous = signal.signal(signal.SIGTERM, _terminate) + except ValueError: # not the main thread + yield + return + try: + yield + finally: + signal.signal(signal.SIGTERM, previous) diff --git a/packages/kumo-engine/test/test_job.py b/packages/kumo-engine/test/test_job.py new file mode 100644 index 000000000..f86fec1b6 --- /dev/null +++ b/packages/kumo-engine/test/test_job.py @@ -0,0 +1,91 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. +# All rights reserved. +# SPDX-License-Identifier: Apache-2.0 + +import json +import os +import signal +import warnings + +import pytest +from kumo_core.sources.errors import SourceNotFoundError, TransientSourceError + +import kumo.engine as kumo +from kumo.engine._manifest import new_manifest + + +@pytest.fixture(autouse=True) +def no_scheduler(monkeypatch): + for name in ('KUMO_SCHEDULER', 'KUMO_JOB_ID', 'KUMO_JOB_RUN_ID'): + monkeypatch.delenv(name, raising=False) + + +def _summary(capsys): + out = capsys.readouterr().out.splitlines() + assert len(out) == 1 + return json.loads(out[0]) + + +def test_summary_records_ids_warnings_and_scheduler(capsys): + with kumo.job(job_id='job-7', job_run_id='run-7') as run: + manifest = new_manifest('model_bundle', 'b-1', {}) + run.record(bundle_id='b-1', snapshot_id='s-1') + run.record(run_id='r-1', outputs={'predictions': 's3://out/p'}) + warnings.warn('threshold not set', UserWarning) + + assert manifest['scheduler'] == { + 'platform': 'other', + 'job_id': 'job-7', + 'job_run_id': 'run-7' + } + summary = _summary(capsys) + assert summary == { + 'event': 'kumo.engine.job', + 'status': 'succeeded', + 'exit_code': 0, + 'scheduler': manifest['scheduler'], + 'bundle_id': 'b-1', + 'snapshot_id': 's-1', + 'run_id': 'r-1', + 'outputs': {'predictions': 's3://out/p'}, + 'warnings': ['threshold not set'], + } + assert 'KUMO_JOB_ID' not in os.environ + + +def _wrapped(cause): + try: + raise RuntimeError('wrapped') from cause + except RuntimeError as error: + return error + + +@pytest.mark.parametrize('error, code', [ + (_wrapped(TransientSourceError('busy')), 20), + (ConnectionResetError(), 20), + (TimeoutError(), 20), + (SourceNotFoundError('missing'), 10), + (OSError(28, 'No space left on device'), 30), + (ValueError('x' * 2000), 30), +]) +def test_failure_exits_with_a_retry_aware_code(capsys, error, code): + with pytest.raises(SystemExit) as exited: + with kumo.job() as run: + run.record(snapshot_id='s-1') + raise error + assert exited.value.code == code + summary = _summary(capsys) + assert (summary['status'], summary['exit_code']) == ('failed', code) + assert summary['snapshot_id'] == 's-1' + assert summary['error']['type'] == type(error).__name__ + assert len(summary['error']['message']) <= 500 + + +def test_sigterm_prints_the_summary_and_exits_143(capsys): + previous = signal.getsignal(signal.SIGTERM) + with pytest.raises(SystemExit) as exited: + with kumo.job(): + os.kill(os.getpid(), signal.SIGTERM) + assert exited.value.code == 143 + assert _summary(capsys)['status'] == 'failed' + assert signal.getsignal(signal.SIGTERM) is previous From 0a788b26591e43e47a9d12c40a19591b0874dcda Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 22:15:01 +0000 Subject: [PATCH 119/123] Print the job summary in finally; exit 0 or non-zero kumo.job() restored the environment and printed its summary only after an Exception or SIGTERM, so Ctrl-C or sys.exit() inside the body left no summary line and the job ids set in the environment. Do both in finally, for every way the body ends. Exit codes are now 0 on success, 1 on failure, 143 on SIGTERM (a body's own sys.exit code passes through). The transient/permanent split moves from the 10/20/30 codes to the summary's error.kind. Verified with test_job.py. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/README.md | 8 ++- packages/kumo-engine/kumo/engine/_job.py | 79 ++++++++++++++---------- packages/kumo-engine/test/test_job.py | 38 ++++++++---- 3 files changed, 77 insertions(+), 48 deletions(-) diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index 36800c5aa..0ffe7d2fb 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -524,9 +524,11 @@ with kumo.job() as run: ``` The summary carries `status`, `exit_code`, the scheduler context, the recorded -ids and outputs, warnings raised, and `error` on failure. Exit codes: 0 ok, 10 a -source refused the request (do not retry), 20 a transient source, connection or -timeout error (retry), 30 any other failure, 143 SIGTERM. Scheduler ids come +ids and outputs, warnings raised, and `error` on failure. The line is printed +however the body ends, including Ctrl-C and `sys.exit()`. The job exits 0 on +success, 1 on failure and 143 on SIGTERM; `error.kind` says whether a failure +is `transient` (a source, connection or timeout error worth retrying), +`permanent` (a source refused the request) or `unknown`. Scheduler ids come from `job(job_id=..., job_run_id=...)`, `KUMO_JOB_ID`/`KUMO_JOB_RUN_ID`, or the detected platform, and are recorded in every manifest and tracking run the job writes. Logs go to stderr. diff --git a/packages/kumo-engine/kumo/engine/_job.py b/packages/kumo-engine/kumo/engine/_job.py index b3d2f5742..96c126af9 100644 --- a/packages/kumo-engine/kumo/engine/_job.py +++ b/packages/kumo-engine/kumo/engine/_job.py @@ -13,12 +13,6 @@ import warnings from typing import Any, Dict, Iterator, Mapping, NoReturn, Optional -EXIT_OK = 0 -EXIT_REFUSED = 10 -EXIT_TRANSIENT = 20 -EXIT_FAILED = 30 -EXIT_TERMINATED = 143 - _MAX_MESSAGE = 500 @@ -50,10 +44,7 @@ def record(self, *, bundle_id: Optional[str] = None, self.summary['outputs'].update(outputs or {}) -def exit_code(error: BaseException) -> int: - r"""The exit code for a failure: 10 a source refused the request (do not - retry), 20 a transient source, connection or timeout error (retry), 30 - anything else, 143 SIGTERM.""" +def _error_kind(error: BaseException) -> str: from kumo_core.sources.errors import ( PermanentSourceError, TransientSourceError, @@ -61,15 +52,26 @@ def exit_code(error: BaseException) -> int: cause: Optional[BaseException] = error while cause is not None: - if isinstance(cause, Terminated): - return EXIT_TERMINATED if isinstance(cause, PermanentSourceError): - return EXIT_REFUSED + return 'permanent' if isinstance(cause, (TransientSourceError, ConnectionError, TimeoutError)): - return EXIT_TRANSIENT + return 'transient' cause = cause.__cause__ - return EXIT_FAILED + return 'unknown' + + +def _exit_code(error: Optional[BaseException]) -> int: + if error is None: + return 0 + if isinstance(error, SystemExit): + code = error.code + return code if isinstance(code, int) else 0 if code is None else 1 + if isinstance(error, KeyboardInterrupt): + return 130 + if isinstance(error, Terminated): + return 143 + return 1 @contextlib.contextmanager @@ -79,10 +81,11 @@ def job(*, job_id: Optional[str] = None, ``job_id``/``job_run_id`` (else ``KUMO_JOB_ID``/``KUMO_JOB_RUN_ID`` or the detected scheduler) are recorded in the manifests and tracking tags the - body writes. Logs go to stderr. On exit one JSON line goes to stdout: - ``status``, ``exit_code``, the scheduler context, what the body passed to - :meth:`JobRun.record`, warnings raised, and ``error`` on failure. A failed - body exits the process with :func:`exit_code`; SIGTERM exits with 143. + body writes. Logs go to stderr. On exit, however the body ends, one JSON + line goes to stdout: ``status``, ``exit_code``, the scheduler context, what + the body passed to :meth:`JobRun.record`, warnings raised, and ``error`` + (``type``, ``kind``: ``transient``/``permanent``/``unknown``, ``message``) + on failure. A failed body exits the process with 1; SIGTERM with 143. Example:: @@ -90,8 +93,6 @@ def job(*, job_id: Optional[str] = None, result = Trainer(plan).fit(table, snapshot=snapshot) run.record(bundle_id=result.bundle_id, snapshot_id=snapshot.id) """ - from kumo.engine._provenance import scheduler_context - logging.basicConfig(level=logging.INFO, stream=sys.stderr) ids = {'KUMO_JOB_ID': job_id, 'KUMO_JOB_RUN_ID': job_run_id} previous = {name: os.environ.get(name) for name in ids} @@ -110,32 +111,42 @@ def show(message: Any, *args: Any, **kwargs: Any) -> None: try: with _sigterm_raises(): yield run - except (Exception, Terminated) as raised: + except BaseException as raised: error = raised + if isinstance(raised, (Exception, Terminated)): + traceback.print_exception(raised, file=sys.stderr) + raise SystemExit(_exit_code(raised)) from raised + raise finally: warnings.showwarning = shown - code = EXIT_OK if error is None else exit_code(error) + try: + _print_summary(run, error) + finally: + for name, value in previous.items(): + if value is None: + os.environ.pop(name, None) + else: + os.environ[name] = value + + +def _print_summary(run: JobRun, error: Optional[BaseException]) -> None: + from kumo.engine._provenance import scheduler_context + + code = _exit_code(error) line = { 'event': 'kumo.engine.job', - 'status': 'succeeded' if error is None else 'failed', + 'status': 'succeeded' if code == 0 else 'failed', 'exit_code': code, 'scheduler': scheduler_context(), **run.summary, } - for name, value in previous.items(): - if value is None: - os.environ.pop(name, None) - else: - os.environ[name] = value - if error is not None: - traceback.print_exception(error, file=sys.stderr) + if code != 0 and error is not None: line['error'] = { 'type': type(error).__name__, - 'message': str(error)[:_MAX_MESSAGE] + 'kind': _error_kind(error), + 'message': str(error)[:_MAX_MESSAGE], } print(json.dumps(line, default=str), flush=True) - if error is not None: - raise SystemExit(code) from error def _terminate(signum: int, frame: Any) -> NoReturn: diff --git a/packages/kumo-engine/test/test_job.py b/packages/kumo-engine/test/test_job.py index f86fec1b6..1418951c9 100644 --- a/packages/kumo-engine/test/test_job.py +++ b/packages/kumo-engine/test/test_job.py @@ -60,25 +60,41 @@ def _wrapped(cause): return error -@pytest.mark.parametrize('error, code', [ - (_wrapped(TransientSourceError('busy')), 20), - (ConnectionResetError(), 20), - (TimeoutError(), 20), - (SourceNotFoundError('missing'), 10), - (OSError(28, 'No space left on device'), 30), - (ValueError('x' * 2000), 30), +@pytest.mark.parametrize('error, kind', [ + (_wrapped(TransientSourceError('busy')), 'transient'), + (ConnectionResetError(), 'transient'), + (SourceNotFoundError('missing'), 'permanent'), + (ValueError('x' * 2000), 'unknown'), ]) -def test_failure_exits_with_a_retry_aware_code(capsys, error, code): +def test_failure_exits_non_zero_with_a_retry_hint(capsys, error, kind): with pytest.raises(SystemExit) as exited: - with kumo.job() as run: + with kumo.job(job_id='job-7') as run: run.record(snapshot_id='s-1') raise error - assert exited.value.code == code + assert exited.value.code == 1 summary = _summary(capsys) - assert (summary['status'], summary['exit_code']) == ('failed', code) + assert (summary['status'], summary['exit_code']) == ('failed', 1) assert summary['snapshot_id'] == 's-1' + assert summary['scheduler']['job_id'] == 'job-7' assert summary['error']['type'] == type(error).__name__ + assert summary['error']['kind'] == kind assert len(summary['error']['message']) <= 500 + assert 'KUMO_JOB_ID' not in os.environ + + +@pytest.mark.parametrize('error, code', [ + (KeyboardInterrupt(), 130), + (SystemExit(3), 3), + (SystemExit(0), 0), +]) +def test_interrupt_and_exit_still_print_the_summary(capsys, error, code): + with pytest.raises(type(error)): + with kumo.job(job_id='job-7'): + raise error + summary = _summary(capsys) + assert summary['exit_code'] == code + assert summary['status'] == ('succeeded' if code == 0 else 'failed') + assert 'KUMO_JOB_ID' not in os.environ def test_sigterm_prints_the_summary_and_exits_143(capsys): From a792a1806200d92e4a03acb797dc3e069ae0826c Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 22:28:27 +0000 Subject: [PATCH 120/123] Keep at most 20 distinct, truncated warnings in the job summary The summary line collected every Python warning in full, so a run that hit pandas FutureWarnings printed kilobytes of repeated array dumps in one line. Keep the first 20 distinct messages, 300 characters each. Verified with test_job.py. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/README.md | 3 ++- packages/kumo-engine/kumo/engine/_job.py | 13 ++++++++++--- packages/kumo-engine/test/test_job.py | 9 ++++++++- 3 files changed, 20 insertions(+), 5 deletions(-) diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index 0ffe7d2fb..578e56060 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -524,7 +524,8 @@ with kumo.job() as run: ``` The summary carries `status`, `exit_code`, the scheduler context, the recorded -ids and outputs, warnings raised, and `error` on failure. The line is printed +ids and outputs, the first 20 distinct warnings (300 characters each), and +`error` on failure. The line is printed however the body ends, including Ctrl-C and `sys.exit()`. The job exits 0 on success, 1 on failure and 143 on SIGTERM; `error.kind` says whether a failure is `transient` (a source, connection or timeout error worth retrying), diff --git a/packages/kumo-engine/kumo/engine/_job.py b/packages/kumo-engine/kumo/engine/_job.py index 96c126af9..ac117715f 100644 --- a/packages/kumo-engine/kumo/engine/_job.py +++ b/packages/kumo-engine/kumo/engine/_job.py @@ -14,6 +14,8 @@ from typing import Any, Dict, Iterator, Mapping, NoReturn, Optional _MAX_MESSAGE = 500 +_MAX_WARNING = 300 +_MAX_WARNINGS = 20 class Terminated(BaseException): @@ -36,7 +38,8 @@ def record(self, *, bundle_id: Optional[str] = None, snapshot_id: Optional[str] = None, run_id: Optional[str] = None, outputs: Optional[Mapping[str, Any]] = None) -> None: - r"""Adds ids and outputs to the summary; ``None`` leaves a field.""" + r"""Adds ids and outputs (name to absolute URI or table) to the + summary; ``None`` leaves a field.""" for key, value in (('bundle_id', bundle_id), ('snapshot_id', snapshot_id), ('run_id', run_id)): if value is not None: @@ -83,7 +86,8 @@ def job(*, job_id: Optional[str] = None, detected scheduler) are recorded in the manifests and tracking tags the body writes. Logs go to stderr. On exit, however the body ends, one JSON line goes to stdout: ``status``, ``exit_code``, the scheduler context, what - the body passed to :meth:`JobRun.record`, warnings raised, and ``error`` + the body passed to :meth:`JobRun.record`, the first 20 distinct warnings + (300 characters each), and ``error`` (``type``, ``kind``: ``transient``/``permanent``/``unknown``, ``message``) on failure. A failed body exits the process with 1; SIGTERM with 143. @@ -103,7 +107,10 @@ def job(*, job_id: Optional[str] = None, shown = warnings.showwarning def show(message: Any, *args: Any, **kwargs: Any) -> None: - run.summary['warnings'].append(str(message)) + text = str(message)[:_MAX_WARNING] + recorded = run.summary['warnings'] + if text not in recorded and len(recorded) < _MAX_WARNINGS: + recorded.append(text) shown(message, *args, **kwargs) warnings.showwarning = show diff --git a/packages/kumo-engine/test/test_job.py b/packages/kumo-engine/test/test_job.py index 1418951c9..f9035f590 100644 --- a/packages/kumo-engine/test/test_job.py +++ b/packages/kumo-engine/test/test_job.py @@ -32,6 +32,9 @@ def test_summary_records_ids_warnings_and_scheduler(capsys): run.record(bundle_id='b-1', snapshot_id='s-1') run.record(run_id='r-1', outputs={'predictions': 's3://out/p'}) warnings.warn('threshold not set', UserWarning) + for i in range(30): + warnings.warn(f'{i}' * 400, FutureWarning) + warnings.warn(f'{i}' * 400, FutureWarning) assert manifest['scheduler'] == { 'platform': 'other', @@ -48,8 +51,12 @@ def test_summary_records_ids_warnings_and_scheduler(capsys): 'snapshot_id': 's-1', 'run_id': 'r-1', 'outputs': {'predictions': 's3://out/p'}, - 'warnings': ['threshold not set'], + 'warnings': summary['warnings'], } + assert summary['warnings'][0] == 'threshold not set' + assert len(summary['warnings']) == 20 + assert len(set(summary['warnings'])) == 20 + assert max(map(len, summary['warnings'])) == 300 assert 'KUMO_JOB_ID' not in os.environ From 235a6772263056f71ca493187f1673e93b9a2292 Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Wed, 21 Oct 2026 23:09:01 +0000 Subject: [PATCH 121/123] Leave deprecation warnings out of the job summary Third-party DeprecationWarning and FutureWarning messages (optuna, lightning, pandas) filled the summary's warnings. Record only the other categories; deprecations still reach stderr. Verified with test_job.py. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/README.md | 4 ++-- packages/kumo-engine/kumo/engine/_job.py | 10 ++++++---- packages/kumo-engine/test/test_job.py | 6 ++++-- 3 files changed, 12 insertions(+), 8 deletions(-) diff --git a/packages/kumo-engine/README.md b/packages/kumo-engine/README.md index 578e56060..105d8f4fa 100644 --- a/packages/kumo-engine/README.md +++ b/packages/kumo-engine/README.md @@ -524,8 +524,8 @@ with kumo.job() as run: ``` The summary carries `status`, `exit_code`, the scheduler context, the recorded -ids and outputs, the first 20 distinct warnings (300 characters each), and -`error` on failure. The line is printed +ids and outputs, the first 20 distinct warnings other than deprecations (300 +characters each), and `error` on failure. The line is printed however the body ends, including Ctrl-C and `sys.exit()`. The job exits 0 on success, 1 on failure and 143 on SIGTERM; `error.kind` says whether a failure is `transient` (a source, connection or timeout error worth retrying), diff --git a/packages/kumo-engine/kumo/engine/_job.py b/packages/kumo-engine/kumo/engine/_job.py index ac117715f..564d5bc0c 100644 --- a/packages/kumo-engine/kumo/engine/_job.py +++ b/packages/kumo-engine/kumo/engine/_job.py @@ -16,6 +16,7 @@ _MAX_MESSAGE = 500 _MAX_WARNING = 300 _MAX_WARNINGS = 20 +_DEPRECATIONS = (DeprecationWarning, PendingDeprecationWarning, FutureWarning) class Terminated(BaseException): @@ -87,7 +88,7 @@ def job(*, job_id: Optional[str] = None, body writes. Logs go to stderr. On exit, however the body ends, one JSON line goes to stdout: ``status``, ``exit_code``, the scheduler context, what the body passed to :meth:`JobRun.record`, the first 20 distinct warnings - (300 characters each), and ``error`` + other than deprecations (300 characters each), and ``error`` (``type``, ``kind``: ``transient``/``permanent``/``unknown``, ``message``) on failure. A failed body exits the process with 1; SIGTERM with 143. @@ -106,12 +107,13 @@ def job(*, job_id: Optional[str] = None, run = JobRun() shown = warnings.showwarning - def show(message: Any, *args: Any, **kwargs: Any) -> None: + def show(message: Any, category: Any, *args: Any, **kwargs: Any) -> None: text = str(message)[:_MAX_WARNING] recorded = run.summary['warnings'] - if text not in recorded and len(recorded) < _MAX_WARNINGS: + if (not issubclass(category, _DEPRECATIONS) and text not in recorded + and len(recorded) < _MAX_WARNINGS): recorded.append(text) - shown(message, *args, **kwargs) + shown(message, category, *args, **kwargs) warnings.showwarning = show error: Optional[BaseException] = None diff --git a/packages/kumo-engine/test/test_job.py b/packages/kumo-engine/test/test_job.py index f9035f590..2510a9829 100644 --- a/packages/kumo-engine/test/test_job.py +++ b/packages/kumo-engine/test/test_job.py @@ -32,9 +32,10 @@ def test_summary_records_ids_warnings_and_scheduler(capsys): run.record(bundle_id='b-1', snapshot_id='s-1') run.record(run_id='r-1', outputs={'predictions': 's3://out/p'}) warnings.warn('threshold not set', UserWarning) + warnings.warn('use the new API', FutureWarning) for i in range(30): - warnings.warn(f'{i}' * 400, FutureWarning) - warnings.warn(f'{i}' * 400, FutureWarning) + warnings.warn(f'{i}' * 400, RuntimeWarning) + warnings.warn(f'{i}' * 400, RuntimeWarning) assert manifest['scheduler'] == { 'platform': 'other', @@ -54,6 +55,7 @@ def test_summary_records_ids_warnings_and_scheduler(capsys): 'warnings': summary['warnings'], } assert summary['warnings'][0] == 'threshold not set' + assert 'use the new API' not in summary['warnings'] assert len(summary['warnings']) == 20 assert len(set(summary['warnings'])) == 20 assert max(map(len, summary['warnings'])) == 300 From b5d56e059e37da57ee4e2e45dab86e555c758b0e Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Thu, 22 Oct 2026 04:59:32 +0000 Subject: [PATCH 122/123] Do not recurse when another patcher wraps kumo.job()'s showwarning Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/kumo/engine/_job.py | 16 ++++++++++++---- packages/kumo-engine/test/test_job.py | 21 ++++++++++++++++++++- 2 files changed, 32 insertions(+), 5 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/_job.py b/packages/kumo-engine/kumo/engine/_job.py index 564d5bc0c..34b8ddf4c 100644 --- a/packages/kumo-engine/kumo/engine/_job.py +++ b/packages/kumo-engine/kumo/engine/_job.py @@ -9,6 +9,7 @@ import os import signal import sys +import threading import traceback import warnings from typing import Any, Dict, Iterator, Mapping, NoReturn, Optional @@ -25,7 +26,6 @@ class Terminated(BaseException): class JobRun: r"""What a job records for its summary line; see :func:`job`.""" - def __init__(self) -> None: self.summary: Dict[str, Any] = { 'bundle_id': None, @@ -36,8 +36,7 @@ def __init__(self) -> None: } def record(self, *, bundle_id: Optional[str] = None, - snapshot_id: Optional[str] = None, - run_id: Optional[str] = None, + snapshot_id: Optional[str] = None, run_id: Optional[str] = None, outputs: Optional[Mapping[str, Any]] = None) -> None: r"""Adds ids and outputs (name to absolute URI or table) to the summary; ``None`` leaves a field.""" @@ -106,14 +105,23 @@ def job(*, job_id: Optional[str] = None, os.environ[name] = value run = JobRun() shown = warnings.showwarning + showing = threading.local() def show(message: Any, category: Any, *args: Any, **kwargs: Any) -> None: + if getattr(showing, 'active', False): + warnings._showwarnmsg_impl( # type: ignore[attr-defined] + warnings.WarningMessage(message, category, *args, **kwargs)) + return text = str(message)[:_MAX_WARNING] recorded = run.summary['warnings'] if (not issubclass(category, _DEPRECATIONS) and text not in recorded and len(recorded) < _MAX_WARNINGS): recorded.append(text) - shown(message, category, *args, **kwargs) + showing.active = True + try: + shown(message, category, *args, **kwargs) + finally: + showing.active = False warnings.showwarning = show error: Optional[BaseException] = None diff --git a/packages/kumo-engine/test/test_job.py b/packages/kumo-engine/test/test_job.py index 2510a9829..7d2b8474f 100644 --- a/packages/kumo-engine/test/test_job.py +++ b/packages/kumo-engine/test/test_job.py @@ -51,7 +51,9 @@ def test_summary_records_ids_warnings_and_scheduler(capsys): 'bundle_id': 'b-1', 'snapshot_id': 's-1', 'run_id': 'r-1', - 'outputs': {'predictions': 's3://out/p'}, + 'outputs': { + 'predictions': 's3://out/p' + }, 'warnings': summary['warnings'], } assert summary['warnings'][0] == 'threshold not set' @@ -62,6 +64,23 @@ def test_summary_records_ids_warnings_and_scheduler(capsys): assert 'KUMO_JOB_ID' not in os.environ +def test_warning_survives_a_patcher_that_wraps_kumos_showwarning(capsys): + original = {} + + def patched(*args, **kwargs): + original['show'](*args, **kwargs) + + with pytest.warns(UserWarning, match='threshold not set'): + original['show'] = warnings.showwarning + warnings.showwarning = patched + with kumo.job(): + original['show'] = warnings.showwarning + warnings.showwarning = patched + warnings.warn('threshold not set', UserWarning) + + assert _summary(capsys)['warnings'] == ['threshold not set'] + + def _wrapped(cause): try: raise RuntimeError('wrapped') from cause From 2c180514e425641f9ee8c4a60d3d97ab9a82966f Mon Sep 17 00:00:00 2001 From: Vedaant Jain Date: Thu, 22 Oct 2026 19:00:03 +0000 Subject: [PATCH 123/123] Write the job summary's scheduler from SchedulerContext scheduler_context() now returns a SchedulerContext, so the job summary line writes its dict; the printed JSON is unchanged. Verified with test_job.py. Co-Authored-By: Claude Opus 5.5 --- packages/kumo-engine/kumo/engine/_job.py | 3 ++- packages/kumo-engine/test/test_job.py | 13 +++++-------- 2 files changed, 7 insertions(+), 9 deletions(-) diff --git a/packages/kumo-engine/kumo/engine/_job.py b/packages/kumo-engine/kumo/engine/_job.py index 34b8ddf4c..88dd40859 100644 --- a/packages/kumo-engine/kumo/engine/_job.py +++ b/packages/kumo-engine/kumo/engine/_job.py @@ -150,11 +150,12 @@ def _print_summary(run: JobRun, error: Optional[BaseException]) -> None: from kumo.engine._provenance import scheduler_context code = _exit_code(error) + scheduler = scheduler_context() line = { 'event': 'kumo.engine.job', 'status': 'succeeded' if code == 0 else 'failed', 'exit_code': code, - 'scheduler': scheduler_context(), + 'scheduler': None if scheduler is None else scheduler.to_dict(), **run.summary, } if code != 0 and error is not None: diff --git a/packages/kumo-engine/test/test_job.py b/packages/kumo-engine/test/test_job.py index 7d2b8474f..671f3baef 100644 --- a/packages/kumo-engine/test/test_job.py +++ b/packages/kumo-engine/test/test_job.py @@ -11,7 +11,7 @@ from kumo_core.sources.errors import SourceNotFoundError, TransientSourceError import kumo.engine as kumo -from kumo.engine._manifest import new_manifest +from kumo.engine._manifest import SchedulerContext, stamp @pytest.fixture(autouse=True) @@ -28,7 +28,7 @@ def _summary(capsys): def test_summary_records_ids_warnings_and_scheduler(capsys): with kumo.job(job_id='job-7', job_run_id='run-7') as run: - manifest = new_manifest('model_bundle', 'b-1', {}) + scheduler = stamp()['scheduler'] run.record(bundle_id='b-1', snapshot_id='s-1') run.record(run_id='r-1', outputs={'predictions': 's3://out/p'}) warnings.warn('threshold not set', UserWarning) @@ -37,17 +37,14 @@ def test_summary_records_ids_warnings_and_scheduler(capsys): warnings.warn(f'{i}' * 400, RuntimeWarning) warnings.warn(f'{i}' * 400, RuntimeWarning) - assert manifest['scheduler'] == { - 'platform': 'other', - 'job_id': 'job-7', - 'job_run_id': 'run-7' - } + assert scheduler == SchedulerContext(platform='other', job_id='job-7', + job_run_id='run-7') summary = _summary(capsys) assert summary == { 'event': 'kumo.engine.job', 'status': 'succeeded', 'exit_code': 0, - 'scheduler': manifest['scheduler'], + 'scheduler': scheduler.to_dict(), 'bundle_id': 'b-1', 'snapshot_id': 's-1', 'run_id': 'r-1',