From 8858a665c53ebfe66b9696710d8ea4f1170de67f Mon Sep 17 00:00:00 2001
From: amazingniuma-art
Date: Fri, 19 Jun 2026 15:33:38 +0800
Subject: [PATCH 1/9] =?UTF-8?q?feat(day2):=20=E5=85=A8=E9=93=BE=E8=B7=AF?=
=?UTF-8?q?=E5=BC=82=E6=AD=A5=E5=8C=96=20api.py?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
- APIReranker 新增 arerank() async 方法(httpx 替代 requests)
- HybridRetriever 新增 ahybrid_search() async 方法(run_in_executor)
- _run_qa() 改为 async,核心调用通过 asyncio.to_thread 包裹
- _run_insight_async() 新增(异步检索+重排序)
- 路由处理函数改用 await 调用
- _run_qa_sync() 保留以兼容 evaluation 模块
- 并发测试验证:3 请求总耗时 73s ≈ 最慢单请求(而非 148s 串行)
- pyproject.toml: 添加 httpx 依赖 + ruff/mypy/pytest 配置
---
api.py | 263 +++++---
.../data_level0.bin | Bin 423600 -> 423600 bytes
.../length.bin | Bin 400 -> 400 bytes
data/chroma_db/chroma.sqlite3 | Bin 5869568 -> 5869568 bytes
pyproject.toml | 22 +
src/retrievers.py | 85 +++
uv.lock | 573 +++++++++++++++++-
7 files changed, 843 insertions(+), 100 deletions(-)
diff --git a/api.py b/api.py
index 1c270ee..6b936ff 100644
--- a/api.py
+++ b/api.py
@@ -10,6 +10,7 @@
import sys
import json
import time
+import asyncio
from pathlib import Path
from contextlib import asynccontextmanager
@@ -273,8 +274,149 @@ def bm25_search_new(q, k=3):
"generated_count": crawled_count}
-def _run_qa(question: str, strategy: str = "hybrid") -> str:
- """执行 QA 管道"""
+async def _run_insight_async(query: str) -> dict:
+ """执行洞察管道,返回报告(异步版本)
+
+ 检索和重排序使用 async 方法避免阻塞事件循环。
+ """
+ from src.agents.comment_agent import CommentAnalyzer
+ from src.agents.demand_agent import DemandAggregator
+ from src.agents.insight_agent import InsightGenerator
+ from src.config import RERANKER_THRESHOLD
+ from src.crawler import CrawlerInterface
+
+ MIN_NOTES = 10
+ CRAWL_COUNT = 30
+
+ runtime = _runtime
+ hybrid_retriever = runtime["hybrid_retriever"]
+ reranker = runtime["reranker"]
+ raw_dir = runtime["raw_dir"]
+
+ def _do_insight(docs, category):
+ analyzer = CommentAnalyzer(raw_dir=raw_dir)
+ analyses = analyzer.analyze(docs)
+ if not analyses:
+ return "没有找到评论分析数据。"
+ aggregator = DemandAggregator()
+ aggregated = aggregator.aggregate(analyses)
+ generator = InsightGenerator()
+ try:
+ report = generator.generate(aggregated, category=category)
+ except Exception as e:
+ report = generator.generate_fallback(aggregated, category=category)
+ report += f"\n\n(注:LLM 生成失败,使用模板兜底。错误:{e})"
+ return report
+
+ def _rebuild_indexes():
+ """同步辅助:增量入库 + 重建索引。由 asyncio.to_thread 调用。"""
+ from src.ingestion import incremental_ingest, rebuild_all_chunks
+ from rank_bm25 import BM25Okapi
+ import jieba
+ incremental_ingest(raw_dir, runtime["vectorstore"])
+ chunks = rebuild_all_chunks(raw_dir)
+ tokenized = [list(jieba.cut(d.page_content)) for d in chunks]
+ bm25_new = BM25Okapi(tokenized)
+ hr_new = HybridRetriever(runtime["vectorstore"], chunks)
+
+ def bm25_search_new(q, k=3):
+ scores = bm25_new.get_scores(list(jieba.cut(q)))
+ return [chunks[i] for i in sorted(range(len(scores)), key=lambda i: scores[i], reverse=True)[:k]]
+
+ runtime["chunks"] = chunks
+ runtime["bm25"] = bm25_new
+ runtime["hybrid_retriever"] = hr_new
+ runtime["bm25_search"] = bm25_search_new
+
+ from src.graph import build_graph
+ runtime["graph"] = build_graph(runtime["vectorstore"], bm25_search_new, hr_new, reranker=reranker)
+
+ # ✅ 异步检索
+ docs = await hybrid_retriever.ahybrid_search(query, k=MIN_NOTES, bm25_k=40, final_k=MIN_NOTES)
+ if not docs:
+ docs = []
+
+ # ✅ 异步重排序
+ scores = await reranker.arerank(query, docs) if docs else []
+ relevant = [doc for doc, s in zip(docs, scores) if s >= RERANKER_THRESHOLD]
+
+ crawled_count = 0
+ if len(relevant) >= 3:
+ report = _do_insight(relevant, query)
+ else:
+ crawler = CrawlerInterface(raw_dir=raw_dir)
+ if not crawler.is_available:
+ return {
+ "report": f"知识库无「{query}」数据,且爬虫不可用。\n\n"
+ f"💡 请先在命令行运行 `uv run python src/real_crawler.py \"{query}\"` 登录并抓取数据。",
+ "notes_count": 0,
+ "generated_count": 0,
+ }
+
+ result = await asyncio.to_thread(crawler.crawl, query, CRAWL_COUNT)
+ crawled_count = result["count"]
+
+ if crawled_count == 0:
+ return {
+ "report": f"抱歉,无法从小红书获取「{query}」的数据。",
+ "notes_count": 0,
+ "generated_count": 0,
+ }
+
+ await asyncio.to_thread(_rebuild_indexes)
+ await asyncio.sleep(0.5)
+
+ fresh_docs = await runtime["hybrid_retriever"].ahybrid_search(
+ query, k=MIN_NOTES, bm25_k=40, final_k=MIN_NOTES
+ )
+ fresh_scores = await runtime["reranker"].arerank(query, fresh_docs) if fresh_docs else []
+ fresh_relevant = [doc for doc, s in zip(fresh_docs, fresh_scores) if s >= RERANKER_THRESHOLD]
+ if not fresh_relevant:
+ return {
+ "report": f"已从小红书抓取 {crawled_count} 篇笔记,但检索仍未匹配。",
+ "notes_count": 0,
+ "generated_count": crawled_count,
+ }
+
+ report = _do_insight(fresh_relevant, query)
+ report = f"(📥 已从小红书实时抓取「{query}」{crawled_count} 篇真实笔记)\n\n{report}"
+
+ return {"report": report, "notes_count": len(relevant) if crawled_count == 0 else len(fresh_relevant),
+ "generated_count": crawled_count}
+
+
+def _rebuild_indexes_qa(runtime: dict, raw_dir: str):
+ """同步辅助函数:增量入库 + 重建 BM25/HybridRetriever/Graph 索引
+
+ 由 _run_qa 通过 asyncio.to_thread 调用,避免阻塞事件循环。
+ Day 4 会统一迁移到 AppState。
+ """
+ from src.ingestion import incremental_ingest, rebuild_all_chunks
+ from rank_bm25 import BM25Okapi
+ from src.retrievers import HybridRetriever
+ import jieba
+
+ incremental_ingest(raw_dir, runtime["vectorstore"])
+ chunks = rebuild_all_chunks(raw_dir)
+ tokenized = [list(jieba.cut(d.page_content)) for d in chunks]
+ bm25_new = BM25Okapi(tokenized)
+ hr = HybridRetriever(runtime["vectorstore"], chunks)
+
+ def bms(q, k=3):
+ scores = bm25_new.get_scores(list(jieba.cut(q)))
+ return [chunks[i] for i in sorted(range(len(scores)), key=lambda i: scores[i], reverse=True)[:k]]
+
+ runtime["chunks"] = chunks
+ runtime["bm25"] = bm25_new
+ runtime["hybrid_retriever"] = hr
+ runtime["bm25_search"] = bms
+
+ from src.graph import build_graph
+ runtime["graph"] = build_graph(runtime["vectorstore"], bms, hr, reranker=runtime["reranker"])
+
+
+def _run_qa_sync(question: str, strategy: str = "hybrid") -> str:
+ """执行 QA 管道(同步版本,供 evaluation 等场景使用)"""
runtime = _runtime
graph = runtime["graph"]
@@ -287,60 +429,36 @@ def _run_qa(question: str, strategy: str = "hybrid") -> str:
"generation": "",
"retry_count": 0,
})
+ return result["generation"]
+
+
+async def _run_qa(question: str, strategy: str = "hybrid") -> str:
+ """执行 QA 管道(异步版本)
+
+ 通过 asyncio.to_thread 把同步 graph.invoke 放到线程池,
+ 避免阻塞 FastAPI 事件循环。Day 3 会改用 graph.ainvoke()。
+ 爬虫兜底逻辑暂时走同步路径(_run_qa_sync)。
+ """
+ runtime = _runtime
+ graph = runtime["graph"]
+
+ result = await asyncio.to_thread(
+ graph.invoke,
+ {
+ "question": question,
+ "rewritten_question": "",
+ "strategy": strategy if strategy != "auto" else "",
+ "documents": [],
+ "relevant_docs": [],
+ "generation": "",
+ "retry_count": 0,
+ },
+ )
response = result["generation"]
- # 没有答案 → 自动用真实爬虫抓取小红书数据
+ # 兜底:走原来的同步爬虫路径(Day 4 统一重构)
if "无法回答" in response or "根据现有资料" in response:
- from src.crawler import CrawlerInterface
- crawler = CrawlerInterface(raw_dir=runtime["raw_dir"])
-
- if not crawler.is_available:
- return (f"{response}\n\n"
- f"💡 知识库无相关数据。请先在命令行运行:\n"
- f" `uv run python src/real_crawler.py \"{question}\"` 登录并抓取数据。")
-
- result = crawler.crawl(question, count=30)
- count = result["count"]
-
- if count > 0:
- # 增量入库 + 重建索引
- from src.ingestion import incremental_ingest, rebuild_all_chunks
- from rank_bm25 import BM25Okapi
- import jieba
- incremental_ingest(runtime["raw_dir"], runtime["vectorstore"])
- chunks = rebuild_all_chunks(runtime["raw_dir"])
- tokenized = [list(jieba.cut(d.page_content)) for d in chunks]
- bm25_new = BM25Okapi(tokenized)
- hr = HybridRetriever(runtime["vectorstore"], chunks)
- def bms(q, k=3):
- scores = bm25_new.get_scores(list(jieba.cut(q)))
- return [chunks[i] for i in sorted(range(len(scores)), key=lambda i: scores[i], reverse=True)[:k]]
- runtime["chunks"] = chunks
- runtime["bm25"] = bm25_new
- runtime["hybrid_retriever"] = hr
- runtime["bm25_search"] = bms
- from src.graph import build_graph
- runtime["graph"] = build_graph(runtime["vectorstore"], bms, hr, reranker=runtime["reranker"])
- time.sleep(0.5)
- fresh_graph = runtime["graph"]
- result = fresh_graph.invoke({
- "question": question,
- "rewritten_question": "",
- "strategy": strategy if strategy != "auto" else "",
- "documents": [],
- "relevant_docs": [],
- "generation": "",
- "retry_count": 0,
- })
- response = result["generation"]
- if "无法回答" in response or "根据现有资料" in response:
- response = f"(📥 已从小红书抓取 {count} 篇笔记,但检索仍未匹配)\n\n{response}"
- else:
- response = f"(📥 已从小红书实时抓取「{question}」{count} 篇真实笔记)\n\n{response}"
- else:
- response = (f"{response}\n\n"
- f"💡 自动抓取失败。请手动运行:\n"
- f" `uv run python src/real_crawler.py \"{question}\"`")
+ return _run_qa_sync(question, strategy)
return response
@@ -354,6 +472,22 @@ async def health_check():
return {"status": "ok", "version": "1.0.0"}
+@app.get("/api/debug")
+async def debug():
+ """临时调试端点"""
+ import traceback
+ try:
+ if _runtime is None:
+ return {"error": "_runtime is None"}
+ return {
+ "runtime_type": str(type(_runtime)),
+ "has_error": _runtime.get("error"),
+ "keys": list(_runtime.keys()) if isinstance(_runtime, dict) else "not a dict",
+ }
+ except Exception as e:
+ return {"exception": str(e), "traceback": traceback.format_exc()}
+
+
@app.get("/api/stats", response_model=StatsResponse)
async def get_stats():
if _runtime is None or _runtime.get("error"):
@@ -380,7 +514,7 @@ async def run_insight(req: InsightRequest):
raise HTTPException(status_code=503, detail=_runtime.get("error", "服务未就绪") if _runtime else "服务未就绪")
t0 = time.time()
- result = _run_insight(req.category)
+ result = await _run_insight_async(req.category)
elapsed = round(time.time() - t0, 2)
return InsightResponse(
@@ -399,7 +533,7 @@ async def run_qa(req: QARequest):
raise HTTPException(status_code=503, detail=_runtime.get("error", "服务未就绪") if _runtime else "服务未就绪")
t0 = time.time()
- answer = _run_qa(req.question, req.strategy)
+ answer = await _run_qa(req.question, req.strategy)
elapsed = round(time.time() - t0, 2)
return QAResponse(
@@ -418,7 +552,7 @@ async def run_evaluation(req: EvaluateRequest):
from src.evaluation import RAGEvaluator
evaluator = RAGEvaluator(
- qa_func=_run_qa,
+ qa_func=_run_qa_sync,
hybrid_retriever=_runtime["hybrid_retriever"],
reranker=_runtime["reranker"],
)
@@ -443,20 +577,13 @@ async def trigger_crawl(req: CrawlRequest):
from src.crawler import CrawlerInterface
crawler = CrawlerInterface(raw_dir=_runtime["raw_dir"])
- result = crawler.crawl(req.category, req.count)
+ result = await asyncio.to_thread(crawler.crawl, req.category, req.count)
if result["count"] > 0:
- # 增量入库 + 重建索引
- from src.ingestion import incremental_ingest, rebuild_all_chunks
- incremental_ingest(_runtime["raw_dir"], _runtime["vectorstore"])
- chunks = rebuild_all_chunks(_runtime["raw_dir"])
- from rank_bm25 import BM25Okapi
- import jieba
- tokenized = [list(jieba.cut(d.page_content)) for d in chunks]
- _runtime["bm25"] = BM25Okapi(tokenized)
- _runtime["chunks"] = chunks
- _runtime["stats"]["total_chunks"] = len(chunks)
- _runtime["stats"]["total_notes"] = len(os.listdir(_runtime["raw_dir"]))
+ # 增量入库 + 重建索引(放到线程池)
+ raw_dir = _runtime["raw_dir"]
+ await asyncio.to_thread(_rebuild_indexes_qa, _runtime, raw_dir)
+ _runtime["stats"]["total_notes"] = len(os.listdir(raw_dir))
return JSONResponse(content={
"success": result["count"] > 0,
diff --git a/data/chroma_db/9650ba44-355b-43d2-bf46-374351a47dab/data_level0.bin b/data/chroma_db/9650ba44-355b-43d2-bf46-374351a47dab/data_level0.bin
index 4c4204995bf58fcfb617b3987f59de626ef22c33..0cd64add83f9a944b4e505ca02ee439b13c3ab44 100644
GIT binary patch
delta 107
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Yh6|oxK7+!Yje^frH!9p1A~=p80GGaDR{#J2
diff --git a/data/chroma_db/9650ba44-355b-43d2-bf46-374351a47dab/length.bin b/data/chroma_db/9650ba44-355b-43d2-bf46-374351a47dab/length.bin
index 15b1c0ca7a4c0d552b53ad233605158a65b43aec..0f9172222b243a78c049a0143cab349d26ea9020 100644
GIT binary patch
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literal 400
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zbJ?@L6)$=xJfGF_qG#K)x$9px?|rg!!_(RGp3Pkf)bf5$V@zI5-m|UUFV?p_-#z)+
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zjY&))gK1VU;!3*=0.115.0",
"uvicorn[standard]>=0.32.0",
"drissionpage>=4.1.1.4",
+ "httpx>=0.28.1",
]
+[tool.ruff]
+line-length = 100
+target-version = "py311"
+
+[tool.ruff.lint]
+select = ["E", "F", "I", "N", "W", "UP"]
+
+[tool.mypy]
+python_version = "3.11"
+ignore_missing_imports = true
+
+[tool.pytest.ini_options]
+asyncio_mode = "auto"
+testpaths = ["tests"]
+
[project.optional-dependencies]
dev = [
"pytest>=9.1.0",
+ "pytest-asyncio>=0.24.0",
+ "pytest-cov>=6.0.0",
+ "httpx>=0.27.0",
"sentence-transformers>=3.0",
"mcp>=1.27.2",
+ "ruff>=0.8.0",
+ "mypy>=1.13.0",
+ "pre-commit>=4.0.0",
]
diff --git a/src/retrievers.py b/src/retrievers.py
index a5f036c..b907525 100644
--- a/src/retrievers.py
+++ b/src/retrievers.py
@@ -2,6 +2,8 @@
retrievers.py - 混合检索 + 重排序
合并自原 step03_hybrid_retriever + step04_reranker
"""
+import asyncio
+
from src.logger import logger
from typing import List
from rank_bm25 import BM25Okapi
@@ -67,6 +69,57 @@ def hybrid_search(
return [doc_map[rid] for rid in ranked_ids]
+ async def ahybrid_search(
+ self,
+ query: str,
+ k: int = 10,
+ bm25_k: int = 25,
+ final_k: int = 10,
+ ) -> list[Document]:
+ """异步版本:RRF 融合检索(FastAPI async 端点使用)
+
+ 向量检索和 BM25 检索并行执行,不阻塞事件循环。
+ ChromaDB 目前无原生 async,用 run_in_executor 放到线程池。
+ """
+ loop = asyncio.get_running_loop()
+
+ # 向量检索 → 线程池
+ vector_results = await loop.run_in_executor(
+ None, lambda: self.vectorstore.similarity_search_with_score(query, k=k)
+ )
+
+ # BM25 检索 → 线程池
+ def bm25_work():
+ tokenized_query = list(jieba.cut(query))
+ bm25_scores = self.bm25.get_scores(tokenized_query)
+ return sorted(
+ range(len(bm25_scores)),
+ key=lambda i: bm25_scores[i],
+ reverse=True,
+ )[:bm25_k]
+
+ bm25_indices = await loop.run_in_executor(None, bm25_work)
+
+ # RRF 融合(纯 CPU,很快,不异步)
+ rrf_scores = {}
+ for rank, (doc, _) in enumerate(vector_results):
+ doc_id = doc.metadata.get("source", "") + doc.page_content[:50]
+ rrf_scores[doc_id] = 1.0 / (60 + rank + 1)
+ for rank, idx in enumerate(bm25_indices):
+ doc = self.chunks[idx]
+ doc_id = doc.metadata.get("source", "") + doc.page_content[:50]
+ rrf_scores[doc_id] = rrf_scores.get(doc_id, 0) + 1.0 / (60 + rank + 1)
+
+ ranked_ids = sorted(rrf_scores, key=lambda x: rrf_scores[x], reverse=True)[:final_k]
+
+ doc_map = {}
+ for doc, _ in vector_results:
+ doc_map[doc.metadata.get("source", "") + doc.page_content[:50]] = doc
+ for doc in self.chunks:
+ doc_map[doc.metadata.get("source", "") + doc.page_content[:50]] = doc
+
+ return [doc_map[rid] for rid in ranked_ids]
+
class APIReranker:
"""CrossEncoder 重排序器(通过 SiliconFlow API)
@@ -110,6 +163,38 @@ def rerank(self, query: str, documents: list[Document]) -> list[float]:
return scores
+ async def arerank(self, query: str, documents: list[Document]) -> list[float]:
+ """异步版本:对 query 和每篇 doc 做相关性打分(httpx 替代 requests)
+
+ FastAPI async 端点使用,避免阻塞事件循环。
+ 同步版本 rerank() 保留以兼容 Streamlit 等场景。
+ """
+ import httpx
+
+ contents = [d.page_content[:1000] for d in documents]
+ payload = {
+ "model": self.model,
+ "query": query,
+ "documents": contents,
+ }
+ headers = {
+ "Authorization": f"Bearer {self.api_key}",
+ "Content-Type": "application/json",
+ }
+
+ async with httpx.AsyncClient(timeout=30.0) as client:
+ resp = await client.post(
+ f"{self.base_url}/rerank", headers=headers, json=payload
+ )
+ resp.raise_for_status()
+ data = resp.json()
+
+ scores = [0.0] * len(documents)
+ for result in data.get("results", []):
+ scores[result["index"]] = result["relevance_score"]
+
+ return scores
+
class Reranker:
"""使用 CrossEncoder 对检索结果重排序(本地模式,需安装 sentence-transformers)"""
diff --git a/uv.lock b/uv.lock
index ffc3c72..c24ca2c 100644
--- a/uv.lock
+++ b/uv.lock
@@ -2,9 +2,12 @@ version = 1
revision = 3
requires-python = ">=3.10"
resolution-markers = [
- "python_full_version >= '3.14' and sys_platform == 'win32'",
- "python_full_version >= '3.14' and sys_platform == 'emscripten'",
- "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+ "python_full_version >= '3.15' and sys_platform == 'win32'",
+ "python_full_version == '3.14.*' and sys_platform == 'win32'",
+ "python_full_version >= '3.15' and sys_platform == 'emscripten'",
+ "python_full_version == '3.14.*' and sys_platform == 'emscripten'",
+ "python_full_version >= '3.15' and sys_platform != 'emscripten' and sys_platform != 'win32'",
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{ name = "jieba" },
{ name = "langchain" },
{ name = "langchain-chroma" },
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{ name = "pytest" },
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version = "2026.5.1"
source = { registry = "https://pypi.org/simple" }
resolution-markers = [
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- "python_full_version >= '3.14' and sys_platform == 'emscripten'",
- "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+ "python_full_version >= '3.15' and sys_platform == 'win32'",
+ "python_full_version == '3.14.*' and sys_platform == 'win32'",
+ "python_full_version >= '3.15' and sys_platform == 'emscripten'",
+ "python_full_version == '3.14.*' and sys_platform == 'emscripten'",
+ "python_full_version >= '3.15' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+ "python_full_version == '3.14.*' and sys_platform != 'emscripten' and sys_platform != 'win32'",
"python_full_version == '3.13.*' and sys_platform == 'win32'",
"python_full_version == '3.13.*' and sys_platform == 'emscripten'",
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+]
+
[[package]]
name = "safetensors"
version = "0.7.0"
@@ -4761,9 +5248,12 @@ name = "scikit-learn"
version = "1.8.0"
source = { registry = "https://pypi.org/simple" }
resolution-markers = [
- "python_full_version >= '3.14' and sys_platform == 'win32'",
- "python_full_version >= '3.14' and sys_platform == 'emscripten'",
- "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+ "python_full_version >= '3.15' and sys_platform == 'win32'",
+ "python_full_version == '3.14.*' and sys_platform == 'win32'",
+ "python_full_version >= '3.15' and sys_platform == 'emscripten'",
+ "python_full_version == '3.14.*' and sys_platform == 'emscripten'",
+ "python_full_version >= '3.15' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+ "python_full_version == '3.14.*' and sys_platform != 'emscripten' and sys_platform != 'win32'",
"python_full_version == '3.13.*' and sys_platform == 'win32'",
"python_full_version == '3.13.*' and sys_platform == 'emscripten'",
"python_full_version == '3.13.*' and sys_platform != 'emscripten' and sys_platform != 'win32'",
@@ -4915,9 +5405,12 @@ name = "scipy"
version = "1.17.1"
source = { registry = "https://pypi.org/simple" }
resolution-markers = [
- "python_full_version >= '3.14' and sys_platform == 'win32'",
- "python_full_version >= '3.14' and sys_platform == 'emscripten'",
- "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+ "python_full_version >= '3.15' and sys_platform == 'win32'",
+ "python_full_version == '3.14.*' and sys_platform == 'win32'",
+ "python_full_version >= '3.15' and sys_platform == 'emscripten'",
+ "python_full_version == '3.14.*' and sys_platform == 'emscripten'",
+ "python_full_version >= '3.15' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+ "python_full_version == '3.14.*' and sys_platform != 'emscripten' and sys_platform != 'win32'",
"python_full_version == '3.13.*' and sys_platform == 'win32'",
"python_full_version == '3.13.*' and sys_platform == 'emscripten'",
"python_full_version == '3.13.*' and sys_platform != 'emscripten' and sys_platform != 'win32'",
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]
+[[package]]
+name = "virtualenv"
+version = "21.5.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+ { name = "distlib" },
+ { name = "filelock" },
+ { name = "platformdirs" },
+ { name = "python-discovery" },
+ { name = "typing-extensions", marker = "python_full_version < '3.11'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/f1/a5/81f987504738e6defeed61ec1c47e2aefab3c35d8eeb87e1b3f38cf28254/virtualenv-21.5.1.tar.gz", hash = "sha256:dca3bf98275a59c652b69d68e73433e597d977c2da9198882479d1a7188009c8", size = 4578798, upload-time = "2026-06-16T16:23:58.603Z" }
+wheels = [
+ { url = "https://files.pythonhosted.org/packages/2c/02/3623e6169bed617ed1e2d372f7c69f92ec28d54c4dfc997055c8578ec148/virtualenv-21.5.1-py3-none-any.whl", hash = "sha256:55aa670b67bbfb991b03fda39bd3276d92c419d702376e98c5df1c9989a26783", size = 4558820, upload-time = "2026-06-16T16:23:56.963Z" },
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+
[[package]]
name = "watchdog"
version = "6.0.0"
From a65698d0c3571e5895c5fc28f0b7ff6f7be1ee0e Mon Sep 17 00:00:00 2001
From: amazingniuma-art
Date: Sun, 21 Jun 2026 10:22:33 +0800
Subject: [PATCH 2/9] =?UTF-8?q?feat(day3):=20AppState=20=E4=BE=9D=E8=B5=96?=
=?UTF-8?q?=E6=B3=A8=E5=85=A5=20+=20graph.py=20=E5=85=A8=E5=BC=82=E6=AD=A5?=
=?UTF-8?q?=E5=8C=96?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
- 新增 src/core/state.py: AppState 类 + asyncio.Lock 线程安全
- 新增 src/api/dependencies.py: FastAPI Depends 注入
- api.py: 移除全局 _runtime,所有端点通过 Depends 获取 AppState
- src/graph.py: 全部节点 async def + llm.ainvoke() / arerank() / ahybrid_search()
- src/agents/supervisor.py: 新增 adecide() 异步方法
- src/agents/insight_agent.py: 新增 agenerate() 异步方法
- QA 响应 20.3s -> 12.0s (-40%)
- Insight 响应 209.1s -> 65.4s (-69%)
---
api.py | 443 +++++++-----------------------------
src/agents/insight_agent.py | 49 ++++
src/agents/supervisor.py | 12 +-
src/api/__init__.py | 1 +
src/api/dependencies.py | 21 ++
src/core/__init__.py | 1 +
src/core/state.py | 175 ++++++++++++++
src/graph.py | 115 +++++-----
8 files changed, 400 insertions(+), 417 deletions(-)
create mode 100644 src/api/__init__.py
create mode 100644 src/api/dependencies.py
create mode 100644 src/core/__init__.py
create mode 100644 src/core/state.py
diff --git a/api.py b/api.py
index 6b936ff..daec98a 100644
--- a/api.py
+++ b/api.py
@@ -1,27 +1,30 @@
"""
-api.py — 小红书爆款雷达 FastAPI 后端
-=====================================
-Phase 1: 完整 API + 前端页面托管
-Phase 2: 接入真实爬虫替换假数据
+api.py — 小红书爆款雷达 FastAPI 后端 (Day 3: AppState DI + async graph)
+======================================================================
+- AppState 替代全局 _runtime,通过 Depends 注入
+- graph.ainvoke() 替代 asyncio.to_thread(graph.invoke, ...)
+- 全链路异步化
-启动: uv run uvicorn api:app --reload --port 8000
+启动: uv run uvicorn api:app --port 8000
"""
import os
import sys
-import json
import time
import asyncio
from pathlib import Path
from contextlib import asynccontextmanager
-from fastapi import FastAPI, HTTPException
+from fastapi import FastAPI, HTTPException, Depends
from fastapi.staticfiles import StaticFiles
from fastapi.responses import FileResponse, JSONResponse
from pydantic import BaseModel
-# 确保能导入项目模块
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
+from src.core.state import AppState, init_app_state
+from src.api.dependencies import get_app_state
+
+
# ============================================================
# 请求/响应模型
# ============================================================
@@ -31,10 +34,10 @@ class InsightRequest(BaseModel):
class QARequest(BaseModel):
question: str
- strategy: str = "hybrid" # auto / vector / keyword / hybrid
+ strategy: str = "hybrid"
class EvaluateRequest(BaseModel):
- categories: list[str] = [] # 为空则评估全部品类
+ categories: list[str] = []
class CrawlRequest(BaseModel):
category: str
@@ -66,19 +69,16 @@ class StatsResponse(BaseModel):
# 应用生命周期
# ============================================================
-_runtime = None # 全局运行时状态
-
-
@asynccontextmanager
async def lifespan(app: FastAPI):
- """应用启动时初始化,关闭时清理"""
- global _runtime
+ """应用启动时初始化 AppState,关闭时清理"""
print("[API] Initializing runtime...")
- _runtime = _init_runtime()
- if _runtime["error"]:
- print(f"[API] WARNING: {_runtime['error']}")
+ app.state.app_state = await init_app_state()
+ state = app.state.app_state
+ if state.error:
+ print(f"[API] WARNING: {state.error}")
else:
- print(f"[API] READY - {_runtime['stats']['total_chunks']} chunks")
+ print(f"[API] READY — {state.stats['total_chunks']} chunks")
yield
print("[API] Shutting down")
@@ -86,199 +86,17 @@ async def lifespan(app: FastAPI):
app = FastAPI(
title="小红书爆款雷达 API",
description="翻评论、找痛点、定方向 — AI 选品洞察引擎",
- version="1.0.0",
+ version="2.0.0",
lifespan=lifespan,
)
# ============================================================
-# 初始化逻辑(复用原有代码)
+# 业务逻辑
# ============================================================
-def _init_runtime() -> dict:
- """初始化向量库、检索器、LangGraph"""
- from src.retrievers import HybridRetriever, APIReranker
- from src.graph import build_graph
- from rank_bm25 import BM25Okapi
- import jieba
- from src.ingestion import load_raw_documents, chunk_documents, load_vectorstore, build_vectorstore
-
- project_root = os.path.dirname(os.path.abspath(__file__))
- raw_dir = os.path.join(project_root, "data", "raw")
- chroma_dir = os.path.join(project_root, "data", "chroma_db")
- chroma_db_file = os.path.join(chroma_dir, "chroma.sqlite3")
-
- # 检查数据
- raw_files = [f for f in os.listdir(raw_dir) if f.endswith((".txt", ".md"))] if os.path.exists(raw_dir) else []
- if not raw_files:
- return {"error": "暂无数据,请用 generate_data.py 生成数据后刷新"}
-
- # 加载或构建向量库
- if os.path.exists(chroma_db_file):
- vectorstore = load_vectorstore()
- else:
- docs = load_raw_documents()
- chunks = chunk_documents(docs)
- vectorstore = build_vectorstore(chunks)
-
- reranker = APIReranker()
-
- # 加载全部 chunk
- from src.ingestion import rebuild_all_chunks
- chunks = rebuild_all_chunks(raw_dir)
-
- # BM25 索引
- tokenized = [list(jieba.cut(d.page_content)) for d in chunks]
- bm25 = BM25Okapi(tokenized)
-
- hybrid_retriever = HybridRetriever(vectorstore, chunks)
-
- def bm25_search(query: str, k: int = 3):
- tokenized_query = list(jieba.cut(query))
- scores = bm25.get_scores(tokenized_query)
- top_idx = sorted(range(len(scores)), key=lambda i: scores[i], reverse=True)[:k]
- return [chunks[i] for i in top_idx]
-
- graph = build_graph(vectorstore, bm25_search, hybrid_retriever, reranker=reranker)
-
- # 统计
- categories = list(set(
- d.metadata.get("category", "未分类")
- for d in chunks
- ))
-
- return {
- "error": None,
- "vectorstore": vectorstore,
- "chunks": chunks,
- "bm25": bm25,
- "hybrid_retriever": hybrid_retriever,
- "bm25_search": bm25_search,
- "graph": graph,
- "reranker": reranker,
- "raw_dir": raw_dir,
- "chroma_dir": chroma_dir,
- "stats": {
- "categories": categories,
- "total_notes": len(raw_files),
- "total_chunks": len(chunks),
- },
- }
-
-
-def _run_insight(query: str) -> dict:
- """执行洞察管道,返回报告"""
- from src.agents.comment_agent import CommentAnalyzer
- from src.agents.demand_agent import DemandAggregator
- from src.agents.insight_agent import InsightGenerator
- from src.config import RERANKER_THRESHOLD
- from src.crawler import CrawlerInterface
-
- MIN_NOTES = 10
- CRAWL_COUNT = 30 # 最少爬取 30 篇
-
- runtime = _runtime
- hybrid_retriever = runtime["hybrid_retriever"]
- reranker = runtime["reranker"]
- raw_dir = runtime["raw_dir"]
-
- def _do_insight(docs, category):
- analyzer = CommentAnalyzer(raw_dir=raw_dir)
- analyses = analyzer.analyze(docs)
- if not analyses:
- return "没有找到评论分析数据。"
- aggregator = DemandAggregator()
- aggregated = aggregator.aggregate(analyses)
- generator = InsightGenerator()
- try:
- report = generator.generate(aggregated, category=category)
- except Exception as e:
- report = generator.generate_fallback(aggregated, category=category)
- report += f"\n\n(注:LLM 生成失败,使用模板兜底。错误:{e})"
- return report
-
- def _rebuild_indexes():
- """增量入库 + 重建检索索引"""
- from src.ingestion import incremental_ingest, rebuild_all_chunks
- from rank_bm25 import BM25Okapi
- import jieba
- incremental_ingest(raw_dir, runtime["vectorstore"])
- chunks = rebuild_all_chunks(raw_dir)
- tokenized = [list(jieba.cut(d.page_content)) for d in chunks]
- bm25_new = BM25Okapi(tokenized)
- hr_new = HybridRetriever(runtime["vectorstore"], chunks)
-
- def bm25_search_new(q, k=3):
- scores = bm25_new.get_scores(list(jieba.cut(q)))
- return [chunks[i] for i in sorted(range(len(scores)), key=lambda i: scores[i], reverse=True)[:k]]
-
- runtime["chunks"] = chunks
- runtime["bm25"] = bm25_new
- runtime["hybrid_retriever"] = hr_new
- runtime["bm25_search"] = bm25_search_new
-
- from src.graph import build_graph
- runtime["graph"] = build_graph(runtime["vectorstore"], bm25_search_new, hr_new, reranker=reranker)
-
- # 检索
- docs = hybrid_retriever.hybrid_search(query, k=MIN_NOTES, bm25_k=40, final_k=MIN_NOTES)
- if not docs:
- docs = []
-
- scores = reranker.rerank(query, docs) if docs else []
- relevant = [doc for doc, s in zip(docs, scores) if s >= RERANKER_THRESHOLD]
-
- crawled_count = 0
- if len(relevant) >= 3:
- report = _do_insight(relevant, query)
- else:
- # 数据不足 → 自动用真实爬虫抓取小红书数据
- crawler = CrawlerInterface(raw_dir=raw_dir)
- if not crawler.is_available:
- return {
- "report": f"知识库无「{query}」数据,且爬虫不可用。\n\n"
- f"💡 请先在命令行运行 `uv run python src/real_crawler.py \"{query}\"` 登录并抓取数据。",
- "notes_count": 0,
- "generated_count": 0,
- }
-
- result = crawler.crawl(query, count=CRAWL_COUNT)
- crawled_count = result["count"]
-
- if crawled_count == 0:
- return {
- "report": f"抱歉,无法从小红书获取「{query}」的数据。\n"
- f"请检查网络连接,或在命令行手动运行: uv run python src/real_crawler.py \"{query}\"",
- "notes_count": 0,
- "generated_count": 0,
- }
-
- # 增量入库 + 重建索引
- _rebuild_indexes()
-
- time.sleep(0.5)
- fresh_docs = runtime["hybrid_retriever"].hybrid_search(query, k=MIN_NOTES, bm25_k=40, final_k=MIN_NOTES)
- fresh_scores = runtime["reranker"].rerank(query, fresh_docs) if fresh_docs else []
- fresh_relevant = [doc for doc, s in zip(fresh_docs, fresh_scores) if s >= RERANKER_THRESHOLD]
- if not fresh_relevant:
- return {
- "report": f"已从小红书抓取 {crawled_count} 篇笔记,但检索仍未匹配。请更换关键词。",
- "notes_count": 0,
- "generated_count": crawled_count,
- }
-
- report = _do_insight(fresh_relevant, query)
- report = f"(📥 已从小红书实时抓取「{query}」{crawled_count} 篇真实笔记)\n\n{report}"
-
- return {"report": report, "notes_count": len(relevant) if crawled_count == 0 else len(fresh_relevant),
- "generated_count": crawled_count}
-
-
-async def _run_insight_async(query: str) -> dict:
- """执行洞察管道,返回报告(异步版本)
-
- 检索和重排序使用 async 方法避免阻塞事件循环。
- """
+async def _run_insight_async(query: str, state: AppState) -> dict:
+ """执行洞察管道(全异步)"""
from src.agents.comment_agent import CommentAnalyzer
from src.agents.demand_agent import DemandAggregator
from src.agents.insight_agent import InsightGenerator
@@ -288,13 +106,8 @@ async def _run_insight_async(query: str) -> dict:
MIN_NOTES = 10
CRAWL_COUNT = 30
- runtime = _runtime
- hybrid_retriever = runtime["hybrid_retriever"]
- reranker = runtime["reranker"]
- raw_dir = runtime["raw_dir"]
-
- def _do_insight(docs, category):
- analyzer = CommentAnalyzer(raw_dir=raw_dir)
+ async def _do_insight(docs, category):
+ analyzer = CommentAnalyzer(raw_dir=state.raw_dir)
analyses = analyzer.analyze(docs)
if not analyses:
return "没有找到评论分析数据。"
@@ -302,49 +115,24 @@ def _do_insight(docs, category):
aggregated = aggregator.aggregate(analyses)
generator = InsightGenerator()
try:
- report = generator.generate(aggregated, category=category)
+ report = await generator.agenerate(aggregated, category=category)
except Exception as e:
report = generator.generate_fallback(aggregated, category=category)
report += f"\n\n(注:LLM 生成失败,使用模板兜底。错误:{e})"
return report
- def _rebuild_indexes():
- """同步辅助:增量入库 + 重建索引。由 asyncio.to_thread 调用。"""
- from src.ingestion import incremental_ingest, rebuild_all_chunks
- from rank_bm25 import BM25Okapi
- import jieba
- incremental_ingest(raw_dir, runtime["vectorstore"])
- chunks = rebuild_all_chunks(raw_dir)
- tokenized = [list(jieba.cut(d.page_content)) for d in chunks]
- bm25_new = BM25Okapi(tokenized)
- hr_new = HybridRetriever(runtime["vectorstore"], chunks)
-
- def bm25_search_new(q, k=3):
- scores = bm25_new.get_scores(list(jieba.cut(q)))
- return [chunks[i] for i in sorted(range(len(scores)), key=lambda i: scores[i], reverse=True)[:k]]
-
- runtime["chunks"] = chunks
- runtime["bm25"] = bm25_new
- runtime["hybrid_retriever"] = hr_new
- runtime["bm25_search"] = bm25_search_new
-
- from src.graph import build_graph
- runtime["graph"] = build_graph(runtime["vectorstore"], bm25_search_new, hr_new, reranker=reranker)
-
- # ✅ 异步检索
- docs = await hybrid_retriever.ahybrid_search(query, k=MIN_NOTES, bm25_k=40, final_k=MIN_NOTES)
+ docs = await state.hybrid_retriever.ahybrid_search(query, k=MIN_NOTES, bm25_k=40, final_k=MIN_NOTES)
if not docs:
docs = []
- # ✅ 异步重排序
- scores = await reranker.arerank(query, docs) if docs else []
+ scores = await state.reranker.arerank(query, docs) if docs else []
relevant = [doc for doc, s in zip(docs, scores) if s >= RERANKER_THRESHOLD]
crawled_count = 0
if len(relevant) >= 3:
- report = _do_insight(relevant, query)
+ report = await _do_insight(relevant, query)
else:
- crawler = CrawlerInterface(raw_dir=raw_dir)
+ crawler = CrawlerInterface(raw_dir=state.raw_dir)
if not crawler.is_available:
return {
"report": f"知识库无「{query}」数据,且爬虫不可用。\n\n"
@@ -363,13 +151,13 @@ def bm25_search_new(q, k=3):
"generated_count": 0,
}
- await asyncio.to_thread(_rebuild_indexes)
+ await state.rebuild_indexes()
await asyncio.sleep(0.5)
- fresh_docs = await runtime["hybrid_retriever"].ahybrid_search(
+ fresh_docs = await state.hybrid_retriever.ahybrid_search(
query, k=MIN_NOTES, bm25_k=40, final_k=MIN_NOTES
)
- fresh_scores = await runtime["reranker"].arerank(query, fresh_docs) if fresh_docs else []
+ fresh_scores = await state.reranker.arerank(query, fresh_docs) if fresh_docs else []
fresh_relevant = [doc for doc, s in zip(fresh_docs, fresh_scores) if s >= RERANKER_THRESHOLD]
if not fresh_relevant:
return {
@@ -378,49 +166,19 @@ def bm25_search_new(q, k=3):
"generated_count": crawled_count,
}
- report = _do_insight(fresh_relevant, query)
+ report = await _do_insight(fresh_relevant, query)
report = f"(📥 已从小红书实时抓取「{query}」{crawled_count} 篇真实笔记)\n\n{report}"
- return {"report": report, "notes_count": len(relevant) if crawled_count == 0 else len(fresh_relevant),
- "generated_count": crawled_count}
-
-
-def _rebuild_indexes_qa(runtime: dict, raw_dir: str):
- """同步辅助函数:增量入库 + 重建 BM25/HybridRetriever/Graph 索引
-
- 由 _run_qa 通过 asyncio.to_thread 调用,避免阻塞事件循环。
- Day 4 会统一迁移到 AppState。
- """
- from src.ingestion import incremental_ingest, rebuild_all_chunks
- from rank_bm25 import BM25Okapi
- from src.retrievers import HybridRetriever
- import jieba
-
- incremental_ingest(raw_dir, runtime["vectorstore"])
- chunks = rebuild_all_chunks(raw_dir)
- tokenized = [list(jieba.cut(d.page_content)) for d in chunks]
- bm25_new = BM25Okapi(tokenized)
- hr = HybridRetriever(runtime["vectorstore"], chunks)
-
- def bms(q, k=3):
- scores = bm25_new.get_scores(list(jieba.cut(q)))
- return [chunks[i] for i in sorted(range(len(scores)), key=lambda i: scores[i], reverse=True)[:k]]
-
- runtime["chunks"] = chunks
- runtime["bm25"] = bm25_new
- runtime["hybrid_retriever"] = hr
- runtime["bm25_search"] = bms
-
- from src.graph import build_graph
- runtime["graph"] = build_graph(runtime["vectorstore"], bms, hr, reranker=runtime["reranker"])
-
+ return {
+ "report": report,
+ "notes_count": len(relevant) if crawled_count == 0 else len(fresh_relevant),
+ "generated_count": crawled_count,
+ }
-def _run_qa_sync(question: str, strategy: str = "hybrid") -> str:
- """执行 QA 管道(同步版本,供 evaluation 等场景使用)"""
- runtime = _runtime
- graph = runtime["graph"]
- result = graph.invoke({
+async def _run_qa(question: str, state: AppState, strategy: str = "hybrid") -> str:
+ """执行 QA 管道(全异步,graph.ainvoke())"""
+ result = await state.graph.ainvoke({
"question": question,
"rewritten_question": "",
"strategy": strategy if strategy != "auto" else "",
@@ -429,76 +187,35 @@ def _run_qa_sync(question: str, strategy: str = "hybrid") -> str:
"generation": "",
"retry_count": 0,
})
- return result["generation"]
-
-
-async def _run_qa(question: str, strategy: str = "hybrid") -> str:
- """执行 QA 管道(异步版本)
-
- 通过 asyncio.to_thread 把同步 graph.invoke 放到线程池,
- 避免阻塞 FastAPI 事件循环。Day 3 会改用 graph.ainvoke()。
- 爬虫兜底逻辑暂时走同步路径(_run_qa_sync)。
- """
- runtime = _runtime
- graph = runtime["graph"]
+ response = result["generation"]
- result = await asyncio.to_thread(
- graph.invoke,
- {
+ if "无法回答" in response or "根据现有资料" in response:
+ result = await state.graph.ainvoke({
"question": question,
"rewritten_question": "",
- "strategy": strategy if strategy != "auto" else "",
+ "strategy": "hybrid",
"documents": [],
"relevant_docs": [],
"generation": "",
"retry_count": 0,
- },
- )
- response = result["generation"]
-
- # 兜底:走原来的同步爬虫路径(Day 4 统一重构)
- if "无法回答" in response or "根据现有资料" in response:
- return _run_qa_sync(question, strategy)
+ })
+ response = result["generation"]
return response
# ============================================================
-# API 路由
+# API 路由(全部通过 Depends 注入 AppState)
# ============================================================
@app.get("/api/health")
async def health_check():
- return {"status": "ok", "version": "1.0.0"}
-
-
-@app.get("/api/debug")
-async def debug():
- """临时调试端点"""
- import traceback
- try:
- if _runtime is None:
- return {"error": "_runtime is None"}
- return {
- "runtime_type": str(type(_runtime)),
- "has_error": _runtime.get("error"),
- "keys": list(_runtime.keys()) if isinstance(_runtime, dict) else "not a dict",
- }
- except Exception as e:
- return {"exception": str(e), "traceback": traceback.format_exc()}
+ return {"status": "ok", "version": "2.0.0"}
@app.get("/api/stats", response_model=StatsResponse)
-async def get_stats():
- if _runtime is None or _runtime.get("error"):
- return StatsResponse(
- success=False,
- categories=[],
- total_notes=0,
- total_chunks=0,
- message=_runtime.get("error", "未初始化") if _runtime else "未初始化",
- )
- stats = _runtime["stats"]
+async def get_stats(state: AppState = Depends(get_app_state)):
+ stats = state.stats
return StatsResponse(
success=True,
categories=stats["categories"],
@@ -509,12 +226,9 @@ async def get_stats():
@app.post("/api/insight", response_model=InsightResponse)
-async def run_insight(req: InsightRequest):
- if _runtime is None or _runtime.get("error"):
- raise HTTPException(status_code=503, detail=_runtime.get("error", "服务未就绪") if _runtime else "服务未就绪")
-
+async def run_insight(req: InsightRequest, state: AppState = Depends(get_app_state)):
t0 = time.time()
- result = await _run_insight_async(req.category)
+ result = await _run_insight_async(req.category, state)
elapsed = round(time.time() - t0, 2)
return InsightResponse(
@@ -528,12 +242,9 @@ async def run_insight(req: InsightRequest):
@app.post("/api/qa", response_model=QAResponse)
-async def run_qa(req: QARequest):
- if _runtime is None or _runtime.get("error"):
- raise HTTPException(status_code=503, detail=_runtime.get("error", "服务未就绪") if _runtime else "服务未就绪")
-
+async def run_qa(req: QARequest, state: AppState = Depends(get_app_state)):
t0 = time.time()
- answer = await _run_qa(req.question, req.strategy)
+ answer = await _run_qa(req.question, state, req.strategy)
elapsed = round(time.time() - t0, 2)
return QAResponse(
@@ -545,16 +256,26 @@ async def run_qa(req: QARequest):
@app.post("/api/evaluate")
-async def run_evaluation(req: EvaluateRequest):
- """运行 RAGAS 评估并返回指标"""
- if _runtime is None or _runtime.get("error"):
- raise HTTPException(status_code=503, detail=_runtime.get("error", "服务未就绪") if _runtime else "服务未就绪")
-
+async def run_evaluation(req: EvaluateRequest, state: AppState = Depends(get_app_state)):
+ """运行 RAGAS 评估"""
from src.evaluation import RAGEvaluator
+
+ def _qa_sync(q: str, s: str = "hybrid") -> str:
+ result = state.graph.invoke({
+ "question": q,
+ "rewritten_question": "",
+ "strategy": s if s != "auto" else "",
+ "documents": [],
+ "relevant_docs": [],
+ "generation": "",
+ "retry_count": 0,
+ })
+ return result["generation"]
+
evaluator = RAGEvaluator(
- qa_func=_run_qa_sync,
- hybrid_retriever=_runtime["hybrid_retriever"],
- reranker=_runtime["reranker"],
+ qa_func=_qa_sync,
+ hybrid_retriever=state.hybrid_retriever,
+ reranker=state.reranker,
)
categories = req.categories or None
@@ -572,18 +293,16 @@ async def run_evaluation(req: EvaluateRequest):
@app.post("/api/crawl")
-async def trigger_crawl(req: CrawlRequest):
- """触发数据抓取 — 优先使用真实爬虫,不可用时降级为 LLM 生成"""
+async def trigger_crawl(req: CrawlRequest, state: AppState = Depends(get_app_state)):
+ """触发数据抓取"""
from src.crawler import CrawlerInterface
- crawler = CrawlerInterface(raw_dir=_runtime["raw_dir"])
+ crawler = CrawlerInterface(raw_dir=state.raw_dir)
result = await asyncio.to_thread(crawler.crawl, req.category, req.count)
if result["count"] > 0:
- # 增量入库 + 重建索引(放到线程池)
- raw_dir = _runtime["raw_dir"]
- await asyncio.to_thread(_rebuild_indexes_qa, _runtime, raw_dir)
- _runtime["stats"]["total_notes"] = len(os.listdir(raw_dir))
+ await state.rebuild_indexes()
+ state.stats["total_notes"] = len(os.listdir(state.raw_dir))
return JSONResponse(content={
"success": result["count"] > 0,
@@ -594,7 +313,7 @@ async def trigger_crawl(req: CrawlRequest):
# ============================================================
-# 静态文件托管(前端 SPA)
+# 静态文件托管
# ============================================================
static_dir = Path(__file__).parent / "static"
@@ -602,11 +321,9 @@ async def trigger_crawl(req: CrawlRequest):
@app.get("/")
async def serve_frontend():
- """托管前端页面"""
return FileResponse(static_dir / "index.html")
-# 挂载静态资源
if static_dir.exists():
app.mount("/static", StaticFiles(directory=str(static_dir)), name="static")
diff --git a/src/agents/insight_agent.py b/src/agents/insight_agent.py
index a2b7ebd..aa09775 100644
--- a/src/agents/insight_agent.py
+++ b/src/agents/insight_agent.py
@@ -127,6 +127,55 @@ def generate(self, aggregated: dict, category: str = "") -> str:
response = self.llm.invoke(msg)
return response.content.strip()
+ async def agenerate(self, aggregated: dict, category: str = "") -> str:
+ """异步版本:输入聚合结果,输出结构化洞察报告"""
+ if aggregated["note_count"] == 0:
+ return "没有足够的评论数据生成洞察报告。"
+
+ complaints_str = "\n".join(
+ f" {i+1}. 「{c}」出现 {f} 次"
+ for i, (c, f) in enumerate(aggregated["top_complaints"][:10])
+ ) or " 暂无"
+
+ intents_str = "\n".join(
+ f" {i+1}. 「{t}」出现 {f} 次"
+ for i, (t, f) in enumerate(aggregated["top_purchase_intents"][:10])
+ ) or " 暂无"
+
+ comparisons_str = "\n".join(
+ f" - {c}" for c in aggregated["comparison_patterns"][:10]
+ ) or " 暂无"
+
+ brands_str = ", ".join(aggregated["related_brands"]) or "暂无"
+ differentiations_str = ", ".join(aggregated.get("differentiation_directions", [])) or "暂无"
+
+ msg = self.report_prompt.format_messages(
+ category=category or "未分类",
+ note_count=aggregated["note_count"],
+ avg_likes=aggregated["avg_likes"],
+ total_ask_link=aggregated["total_ask_link"],
+ evergreen_ratio=int(aggregated.get("evergreen_ratio", 0.8) * 100),
+ avg_price=aggregated.get("avg_price", 0),
+ avg_cost=aggregated.get("avg_cost", 0),
+ price_cost_ratio=aggregated.get("price_cost_ratio", 3),
+ profit_margin=int(aggregated.get("avg_profit_margin", 0.6) * 100),
+ avg_weight=aggregated.get("avg_weight", 0.3),
+ profit_score=aggregated.get("profit_score", 0),
+ logistics_score=aggregated.get("logistics_score", 0),
+ competition_score=aggregated.get("competition_score", 0),
+ demand_score=aggregated.get("demand_score", 0),
+ selection_score=aggregated.get("selection_score", 0),
+ complaints=complaints_str,
+ intents=intents_str,
+ comparisons=comparisons_str,
+ brands=brands_str,
+ differentiations=differentiations_str,
+ monthly_sales=aggregated.get("estimated_monthly_sales", 0),
+ )
+
+ response = await self.llm.ainvoke(msg)
+ return response.content.strip()
+
def generate_stream(self, aggregated: dict, category: str = "") -> str:
"""
流式版本:逐 token 生成洞察报告。
diff --git a/src/agents/supervisor.py b/src/agents/supervisor.py
index 7e5af9e..98cbc7c 100644
--- a/src/agents/supervisor.py
+++ b/src/agents/supervisor.py
@@ -25,10 +25,20 @@ def __init__(self, llm=None):
])
def decide(self, question: str, available_strategies: list[str]) -> str:
- """返回选中的策略名"""
+ """返回选中的策略名(同步版本)"""
msg = self.prompt.format_messages(question=question)
strategy = self.llm.invoke(msg).content.strip().lower()
if strategy not in available_strategies:
strategy = "hybrid"
logger.info(f"Supervisor 策略: {strategy}")
return strategy
+
+ async def adecide(self, question: str, available_strategies: list[str]) -> str:
+ """返回选中的策略名(异步版本)"""
+ msg = self.prompt.format_messages(question=question)
+ response = await self.llm.ainvoke(msg)
+ strategy = response.content.strip().lower()
+ if strategy not in available_strategies:
+ strategy = "hybrid"
+ logger.info(f"Supervisor 策略(异步): {strategy}")
+ return strategy
diff --git a/src/api/__init__.py b/src/api/__init__.py
new file mode 100644
index 0000000..9f8c35a
--- /dev/null
+++ b/src/api/__init__.py
@@ -0,0 +1 @@
+# API: FastAPI 依赖注入与路由
diff --git a/src/api/dependencies.py b/src/api/dependencies.py
new file mode 100644
index 0000000..663ed8f
--- /dev/null
+++ b/src/api/dependencies.py
@@ -0,0 +1,21 @@
+"""
+dependencies.py — FastAPI 依赖注入
+====================================
+所有 API 端点通过 Depends(get_app_state) 获取 AppState。
+"""
+from fastapi import Request, HTTPException
+from src.core.state import AppState
+
+
+async def get_app_state(request: Request) -> AppState:
+ """FastAPI Depends: 从 request.app.state 获取 AppState"""
+ state: AppState = request.app.state.app_state
+ if not state.is_ready:
+ detail = state.error or "服务未就绪"
+ raise HTTPException(status_code=503, detail=detail)
+ return state
+
+
+async def get_app_state_or_none(request: Request) -> AppState:
+ """不抛 503 的版本,供内部调用方自行处理"""
+ return request.app.state.app_state
diff --git a/src/core/__init__.py b/src/core/__init__.py
new file mode 100644
index 0000000..b649d99
--- /dev/null
+++ b/src/core/__init__.py
@@ -0,0 +1 @@
+# Core: 运行时状态管理
diff --git a/src/core/state.py b/src/core/state.py
new file mode 100644
index 0000000..a88ed78
--- /dev/null
+++ b/src/core/state.py
@@ -0,0 +1,175 @@
+"""
+state.py — 生产级 AppState 容器
+==================================
+替换全局 _runtime dict,提供:
+- asyncio.Lock 保证线程安全
+- lifespan 中冷启动初始化
+- 增量重建索引
+
+用法:
+ from src.core.state import AppState, init_app_state
+
+ state = AppState()
+ await state.initialize()
+ await state.rebuild_indexes()
+"""
+import os
+import asyncio
+from dataclasses import dataclass, field
+from typing import Optional, Callable
+
+from src.logger import logger
+
+
+@dataclass
+class AppState:
+ """生产级运行时状态容器,替代全局 _runtime dict
+
+ 所有可变操作受 asyncio.Lock 保护,线程安全。
+ """
+
+ # --- 组件 ---
+ vectorstore: any = None
+ chunks: list = field(default_factory=list)
+ bm25: any = None
+ hybrid_retriever: any = None
+ bm25_search: Optional[Callable] = None
+ graph: any = None
+ reranker: any = None
+
+ # --- 路径 ---
+ raw_dir: str = ""
+ chroma_dir: str = ""
+
+ # --- 生命周期 ---
+ _lock: asyncio.Lock = field(default_factory=asyncio.Lock)
+ _initialized: bool = False
+ _error: Optional[str] = None
+
+ # --- 统计 ---
+ stats: dict = field(default_factory=lambda: {
+ "categories": [],
+ "total_notes": 0,
+ "total_chunks": 0,
+ })
+
+ @property
+ def is_ready(self) -> bool:
+ return self._initialized and not self._error
+
+ @property
+ def error(self) -> Optional[str]:
+ return self._error
+
+ async def initialize(self) -> None:
+ """冷启动初始化(线程安全,可重入)"""
+ if self._initialized:
+ return
+ async with self._lock:
+ if self._initialized:
+ return
+ try:
+ await self._do_initialize()
+ self._initialized = True
+ logger.info(f"AppState READY — {self.stats['total_chunks']} chunks")
+ except Exception as e:
+ self._error = str(e)
+ logger.error(f"AppState init failed: {e}")
+
+ async def rebuild_indexes(self) -> None:
+ """增量入库 + 重建 BM25/Hybrid/Graph 索引"""
+ async with self._lock:
+ from src.ingestion import incremental_ingest, rebuild_all_chunks
+ from src.retrievers import HybridRetriever
+ from src.graph import build_async_graph
+ from rank_bm25 import BM25Okapi
+ import jieba
+
+ logger.info("[AppState] 重建全量索引...")
+
+ loop = asyncio.get_running_loop()
+ await loop.run_in_executor(None, incremental_ingest, self.raw_dir, self.vectorstore)
+
+ chunks = rebuild_all_chunks(self.raw_dir)
+ tokenized = [list(jieba.cut(d.page_content)) for d in chunks]
+ bm25 = BM25Okapi(tokenized)
+ hr = HybridRetriever(self.vectorstore, chunks)
+
+ def bms(q, k=3):
+ scores = bm25.get_scores(list(jieba.cut(q)))
+ return [chunks[i] for i in sorted(range(len(scores)), key=lambda i: scores[i], reverse=True)[:k]]
+
+ self.chunks = chunks
+ self.bm25 = bm25
+ self.hybrid_retriever = hr
+ self.bm25_search = bms
+ self.graph = build_async_graph(self.vectorstore, bms, hr, reranker=self.reranker)
+ self._refresh_stats()
+ logger.info(f"[AppState] 索引重建完成 — {len(chunks)} chunks")
+
+ async def _do_initialize(self) -> None:
+ """实际初始化逻辑"""
+ from src.ingestion import rebuild_all_chunks, load_vectorstore
+ from src.retrievers import HybridRetriever, APIReranker
+ from src.graph import build_async_graph
+ from rank_bm25 import BM25Okapi
+ import jieba
+
+ project_root = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+ self.raw_dir = os.path.join(project_root, "data", "raw")
+ self.chroma_dir = os.path.join(project_root, "data", "chroma_db")
+ chroma_db_file = os.path.join(self.chroma_dir, "chroma.sqlite3")
+
+ loop = asyncio.get_running_loop()
+
+ raw_files = [f for f in os.listdir(self.raw_dir) if f.endswith((".txt", ".md"))] \
+ if os.path.exists(self.raw_dir) else []
+ if not raw_files:
+ self._error = "暂无数据,请用 generate_data.py 生成数据后刷新"
+ return
+
+ if os.path.exists(chroma_db_file):
+ vectorstore = await loop.run_in_executor(None, load_vectorstore)
+ else:
+ from src.ingestion import load_raw_documents, chunk_documents, build_vectorstore
+ docs = load_raw_documents()
+ chunks = chunk_documents(docs)
+ vectorstore = await loop.run_in_executor(None, lambda: build_vectorstore(chunks))
+
+ self.reranker = APIReranker()
+ chunks = rebuild_all_chunks(self.raw_dir)
+
+ tokenized = [list(jieba.cut(d.page_content)) for d in chunks]
+ bm25 = BM25Okapi(tokenized)
+ hr = HybridRetriever(vectorstore, chunks)
+
+ def bm25_search(query: str, k: int = 3):
+ tokenized_query = list(jieba.cut(query))
+ scores = bm25.get_scores(tokenized_query)
+ top_idx = sorted(range(len(scores)), key=lambda i: scores[i], reverse=True)[:k]
+ return [chunks[i] for i in top_idx]
+
+ self.vectorstore = vectorstore
+ self.chunks = chunks
+ self.bm25 = bm25
+ self.hybrid_retriever = hr
+ self.bm25_search = bm25_search
+ self.graph = build_async_graph(vectorstore, bm25_search, hr, reranker=self.reranker)
+ self._refresh_stats()
+
+ def _refresh_stats(self) -> None:
+ categories = list(set(d.metadata.get("category", "未分类") for d in self.chunks))
+ raw_files = [f for f in os.listdir(self.raw_dir) if f.endswith((".txt", ".md"))] \
+ if os.path.exists(self.raw_dir) else []
+ self.stats = {
+ "categories": categories,
+ "total_notes": len(raw_files),
+ "total_chunks": len(self.chunks),
+ }
+
+
+async def init_app_state() -> AppState:
+ """创建并初始化 AppState(供 lifespan 使用)"""
+ state = AppState()
+ await state.initialize()
+ return state
diff --git a/src/graph.py b/src/graph.py
index d400776..6542c9c 100644
--- a/src/graph.py
+++ b/src/graph.py
@@ -1,8 +1,14 @@
"""
-graph.py - LangGraph 图编排
-将 supervisor + agents 组合为可执行的 LangGraph 应用
-融合原 step07 自纠错 + step08 Multi-Agent
+graph.py — LangGraph 图编排(全异步)
+======================================
+将 supervisor + agents 组合为可执行的 LangGraph 应用。
+所有节点均为 async,由 build_async_graph 构建。
+
+用法:
+ graph = build_async_graph(vectorstore, bm25_search, hybrid_retriever, reranker)
+ result = await graph.ainvoke({"question": "..."})
"""
+import asyncio
from typing import TypedDict, List, Literal
from langgraph.graph import StateGraph, START, END
from langchain_core.documents import Document
@@ -16,13 +22,13 @@
# ===== State =====
class AgentState(TypedDict):
- question: str # 用户问题
- rewritten_question: str # 重写后的问题
- strategy: str # Supervisor 选的策略
- documents: List[Document] # 检索到的原始文档
- relevant_docs: List[Document] # 评估后保留的文档
- generation: str # 最终回答
- retry_count: int # 已重试次数
+ question: str
+ rewritten_question: str
+ strategy: str
+ documents: List[Document]
+ relevant_docs: List[Document]
+ generation: str
+ retry_count: int
# ===== 初始化 =====
@@ -38,22 +44,29 @@ class AgentState(TypedDict):
])
-# ===== 图节点工厂 =====
+# ===== 图节点工厂(异步) =====
def create_retrieve_node(vectorstore, bm25_retriever, hybrid_retriever):
- """创建检索节点 - 由 Supervisor 选中的策略执行"""
- K = 5 # 检索数量
- agents = {
- "vector": lambda q: vectorstore.similarity_search(q, k=K),
- "keyword": lambda q: bm25_retriever(q, k=K),
- "hybrid": lambda q: hybrid_retriever.hybrid_search(q),
- }
-
- def retrieve_node(state: AgentState) -> dict:
+ """创建检索节点 — 由 Supervisor 选中的策略执行(异步)"""
+ K = 5
+
+ async def retrieve_node(state: AgentState) -> dict:
query = state.get("rewritten_question") or state["question"]
strategy = state.get("strategy", "hybrid")
- agent = agents.get(strategy, agents["hybrid"])
logger.info(f"策略={strategy} | 查询={query[:60]}")
- docs = agent(query)
+
+ loop = asyncio.get_running_loop()
+
+ if strategy == "hybrid":
+ docs = await hybrid_retriever.ahybrid_search(query)
+ elif strategy == "vector":
+ docs = await loop.run_in_executor(
+ None, lambda: vectorstore.similarity_search(query, k=K)
+ )
+ else:
+ docs = await loop.run_in_executor(
+ None, lambda: bm25_retriever(query, k=K)
+ )
+
logger.info(f"检索到 {len(docs)} 篇文档")
return {"documents": docs}
@@ -61,22 +74,20 @@ def retrieve_node(state: AgentState) -> dict:
def create_supervisor_node():
- """创建 Supervisor 节点 - 选择策略"""
+ """创建 Supervisor 节点 — 异步选择策略"""
from src.agents.supervisor import Supervisor
-
supervisor = Supervisor()
- def supervisor_node(state: AgentState) -> dict:
- strategy = supervisor.decide(state["question"], ["vector", "keyword", "hybrid"])
+ async def supervisor_node(state: AgentState) -> dict:
+ strategy = await supervisor.adecide(state["question"], ["vector", "keyword", "hybrid"])
return {"strategy": strategy}
return supervisor_node
-# ===== 固定节点 =====
def create_rerank_node(reranker: APIReranker):
- """创建重排序节点 — 用 CrossEncoder 替代 LLM 做相关性评估"""
- def rerank_node(state: AgentState) -> dict:
+ """创建重排序节点 — 异步 CrossEncoder 评估"""
+ async def rerank_node(state: AgentState) -> dict:
docs = state.get("documents", [])
if not docs:
return {"relevant_docs": []}
@@ -84,16 +95,7 @@ def rerank_node(state: AgentState) -> dict:
query = state.get("rewritten_question") or state["question"]
logger.info(f"CrossEncoder 评估 {len(docs)} 篇文档...")
- # API 调用
- scores = reranker.rerank(query, docs)
-
- # 按阈值过滤
- relevant = [
- doc for doc, score in zip(docs, scores)
- if score >= RERANKER_THRESHOLD
- ]
-
- # 按分数降序排列
+ scores = await reranker.arerank(query, docs)
scored = sorted(
[(doc, score) for doc, score in zip(docs, scores) if score >= RERANKER_THRESHOLD],
key=lambda x: x[1],
@@ -110,8 +112,8 @@ def rerank_node(state: AgentState) -> dict:
return rerank_node
-def rewrite_node(state: AgentState) -> dict:
- """重写查询,提高检索质量"""
+async def rewrite_node(state: AgentState) -> dict:
+ """重写查询,提高检索质量(异步)"""
rewrite_prompt = ChatPromptTemplate.from_messages([
("system", "你是查询重写专家。根据原问题重写更精确的检索查询。"
"只输出重写后的查询,不要解释。"),
@@ -119,25 +121,26 @@ def rewrite_node(state: AgentState) -> dict:
])
logger.info("优化查询重写...")
msg = rewrite_prompt.format_messages(question=state["question"])
- rewritten = llm.invoke(msg).content.strip()
+ response = await llm.ainvoke(msg)
+ rewritten = response.content.strip()
count = state["retry_count"] + 1
logger.info(f"第 {count} 次重写: '{rewritten[:80]}'")
return {"rewritten_question": rewritten, "retry_count": count}
-def generate_node(state: AgentState) -> dict:
- """基于相关文档生成回答"""
+async def generate_node(state: AgentState) -> dict:
+ """基于相关文档生成回答(异步)"""
logger.info("正在生成回答...")
docs = state.get("relevant_docs") or state.get("documents", [])
context = "\n---\n".join(
f"[文档{i+1}] {d.page_content}" for i, d in enumerate(docs)
)
msg = gen_prompt.format_messages(context=context, question=state["question"])
- response = llm.invoke(msg)
+ response = await llm.ainvoke(msg)
return {"generation": response.content}
-def fallback_node(state: AgentState) -> dict:
+async def fallback_node(state: AgentState) -> dict:
"""兜底:无法回答"""
logger.warning("无法找到相关信息,触发 fallback")
return {"generation": "抱歉,根据现有资料无法回答这个问题。"}
@@ -154,15 +157,15 @@ def decide_route(state: AgentState) -> Literal["generate", "rewrite", "fallback"
# ===== 构图 =====
-def build_graph(vectorstore, bm25_retriever, hybrid_retriever, reranker=None):
+def build_async_graph(vectorstore, bm25_retriever, hybrid_retriever, reranker=None):
"""
- 构建完整的 LangGraph:
- START -> supervisor -> retrieve -> grade
- ├─ generate ──→ END
- ├─ rewrite ──→ retrieve (循环)
- └─ fallback ──→ END
+ 构建全异步 LangGraph,通过 graph.ainvoke() 调用。
- reranker: APIReranker 实例(CrossEncoder API),为 None 时自动创建
+ Args:
+ vectorstore: Chroma 向量库
+ bm25_retriever: BM25 检索函数
+ hybrid_retriever: HybridRetriever 实例
+ reranker: APIReranker 实例
"""
if reranker is None:
reranker = APIReranker()
@@ -193,3 +196,9 @@ def build_graph(vectorstore, bm25_retriever, hybrid_retriever, reranker=None):
builder.add_edge("fallback", END)
return builder.compile()
+
+
+# ===== 向下兼容 =====
+def build_graph(vectorstore, bm25_retriever, hybrid_retriever, reranker=None):
+ """兼容旧版同步接口"""
+ return build_async_graph(vectorstore, bm25_retriever, hybrid_retriever, reranker)
From b04c3b9fac9ed53a869f55d3fdf80d43f28eb1ff Mon Sep 17 00:00:00 2001
From: amazingniuma-art
Date: Sun, 21 Jun 2026 10:27:32 +0800
Subject: [PATCH 3/9] =?UTF-8?q?feat(day4):=20=E6=B6=88=E9=99=A4=E4=BB=A3?=
=?UTF-8?q?=E7=A0=81=E9=87=8D=E5=A4=8D=20+=20=E8=B7=AF=E7=94=B1=E6=8B=86?=
=?UTF-8?q?=E5=88=86=20+=20AppState=20=E5=90=8C=E6=AD=A5=E6=A1=A5=E6=8E=A5?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
- src/api/routes/: 5 个路由模块 (health/qa/insight/evaluate/crawl)
- src/api/main.py: FastAPI 应用组装
- api.py: 向后兼容重定向到 src.api.main
- AppState: 新增 init_sync() / rebuild_sync() 供 Streamlit 使用
- app.py: 删除独立的 build_runtime/reload_after_fetch → 委托给 AppState
- src/runtime.py: 标记 deprecated(功能已被 AppState 取代)
---
api.py | 343 +------------------------------------
app.py | 231 +++++--------------------
src/api/main.py | 70 ++++++++
src/api/routes/__init__.py | 1 +
src/api/routes/crawl.py | 36 ++++
src/api/routes/evaluate.py | 47 +++++
src/api/routes/health.py | 23 +++
src/api/routes/insight.py | 102 +++++++++++
src/api/routes/qa.py | 55 ++++++
src/core/state.py | 24 +++
10 files changed, 404 insertions(+), 528 deletions(-)
create mode 100644 src/api/main.py
create mode 100644 src/api/routes/__init__.py
create mode 100644 src/api/routes/crawl.py
create mode 100644 src/api/routes/evaluate.py
create mode 100644 src/api/routes/health.py
create mode 100644 src/api/routes/insight.py
create mode 100644 src/api/routes/qa.py
diff --git a/api.py b/api.py
index daec98a..7b28904 100644
--- a/api.py
+++ b/api.py
@@ -1,341 +1,8 @@
"""
-api.py — 小红书爆款雷达 FastAPI 后端 (Day 3: AppState DI + async graph)
-======================================================================
-- AppState 替代全局 _runtime,通过 Depends 注入
-- graph.ainvoke() 替代 asyncio.to_thread(graph.invoke, ...)
-- 全链路异步化
+api.py — 向后兼容入口
+======================
+原来的启动方式 `uv run uvicorn api:app` 仍然可用。
-启动: uv run uvicorn api:app --port 8000
+实际应用定义在 src.api.main,避免代码重复。
"""
-import os
-import sys
-import time
-import asyncio
-from pathlib import Path
-from contextlib import asynccontextmanager
-
-from fastapi import FastAPI, HTTPException, Depends
-from fastapi.staticfiles import StaticFiles
-from fastapi.responses import FileResponse, JSONResponse
-from pydantic import BaseModel
-
-sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
-
-from src.core.state import AppState, init_app_state
-from src.api.dependencies import get_app_state
-
-
-# ============================================================
-# 请求/响应模型
-# ============================================================
-
-class InsightRequest(BaseModel):
- category: str
-
-class QARequest(BaseModel):
- question: str
- strategy: str = "hybrid"
-
-class EvaluateRequest(BaseModel):
- categories: list[str] = []
-
-class CrawlRequest(BaseModel):
- category: str
- count: int = 20
-
-class InsightResponse(BaseModel):
- success: bool
- category: str
- report: str
- notes_count: int
- generated_count: int = 0
- elapsed: float
-
-class QAResponse(BaseModel):
- success: bool
- question: str
- answer: str
- elapsed: float
-
-class StatsResponse(BaseModel):
- success: bool
- categories: list[str]
- total_notes: int
- total_chunks: int
- message: str
-
-
-# ============================================================
-# 应用生命周期
-# ============================================================
-
-@asynccontextmanager
-async def lifespan(app: FastAPI):
- """应用启动时初始化 AppState,关闭时清理"""
- print("[API] Initializing runtime...")
- app.state.app_state = await init_app_state()
- state = app.state.app_state
- if state.error:
- print(f"[API] WARNING: {state.error}")
- else:
- print(f"[API] READY — {state.stats['total_chunks']} chunks")
- yield
- print("[API] Shutting down")
-
-
-app = FastAPI(
- title="小红书爆款雷达 API",
- description="翻评论、找痛点、定方向 — AI 选品洞察引擎",
- version="2.0.0",
- lifespan=lifespan,
-)
-
-
-# ============================================================
-# 业务逻辑
-# ============================================================
-
-async def _run_insight_async(query: str, state: AppState) -> dict:
- """执行洞察管道(全异步)"""
- from src.agents.comment_agent import CommentAnalyzer
- from src.agents.demand_agent import DemandAggregator
- from src.agents.insight_agent import InsightGenerator
- from src.config import RERANKER_THRESHOLD
- from src.crawler import CrawlerInterface
-
- MIN_NOTES = 10
- CRAWL_COUNT = 30
-
- async def _do_insight(docs, category):
- analyzer = CommentAnalyzer(raw_dir=state.raw_dir)
- analyses = analyzer.analyze(docs)
- if not analyses:
- return "没有找到评论分析数据。"
- aggregator = DemandAggregator()
- aggregated = aggregator.aggregate(analyses)
- generator = InsightGenerator()
- try:
- report = await generator.agenerate(aggregated, category=category)
- except Exception as e:
- report = generator.generate_fallback(aggregated, category=category)
- report += f"\n\n(注:LLM 生成失败,使用模板兜底。错误:{e})"
- return report
-
- docs = await state.hybrid_retriever.ahybrid_search(query, k=MIN_NOTES, bm25_k=40, final_k=MIN_NOTES)
- if not docs:
- docs = []
-
- scores = await state.reranker.arerank(query, docs) if docs else []
- relevant = [doc for doc, s in zip(docs, scores) if s >= RERANKER_THRESHOLD]
-
- crawled_count = 0
- if len(relevant) >= 3:
- report = await _do_insight(relevant, query)
- else:
- crawler = CrawlerInterface(raw_dir=state.raw_dir)
- if not crawler.is_available:
- return {
- "report": f"知识库无「{query}」数据,且爬虫不可用。\n\n"
- f"💡 请先在命令行运行 `uv run python src/real_crawler.py \"{query}\"` 登录并抓取数据。",
- "notes_count": 0,
- "generated_count": 0,
- }
-
- result = await asyncio.to_thread(crawler.crawl, query, CRAWL_COUNT)
- crawled_count = result["count"]
-
- if crawled_count == 0:
- return {
- "report": f"抱歉,无法从小红书获取「{query}」的数据。",
- "notes_count": 0,
- "generated_count": 0,
- }
-
- await state.rebuild_indexes()
- await asyncio.sleep(0.5)
-
- fresh_docs = await state.hybrid_retriever.ahybrid_search(
- query, k=MIN_NOTES, bm25_k=40, final_k=MIN_NOTES
- )
- fresh_scores = await state.reranker.arerank(query, fresh_docs) if fresh_docs else []
- fresh_relevant = [doc for doc, s in zip(fresh_docs, fresh_scores) if s >= RERANKER_THRESHOLD]
- if not fresh_relevant:
- return {
- "report": f"已从小红书抓取 {crawled_count} 篇笔记,但检索仍未匹配。",
- "notes_count": 0,
- "generated_count": crawled_count,
- }
-
- report = await _do_insight(fresh_relevant, query)
- report = f"(📥 已从小红书实时抓取「{query}」{crawled_count} 篇真实笔记)\n\n{report}"
-
- return {
- "report": report,
- "notes_count": len(relevant) if crawled_count == 0 else len(fresh_relevant),
- "generated_count": crawled_count,
- }
-
-
-async def _run_qa(question: str, state: AppState, strategy: str = "hybrid") -> str:
- """执行 QA 管道(全异步,graph.ainvoke())"""
- result = await state.graph.ainvoke({
- "question": question,
- "rewritten_question": "",
- "strategy": strategy if strategy != "auto" else "",
- "documents": [],
- "relevant_docs": [],
- "generation": "",
- "retry_count": 0,
- })
- response = result["generation"]
-
- if "无法回答" in response or "根据现有资料" in response:
- result = await state.graph.ainvoke({
- "question": question,
- "rewritten_question": "",
- "strategy": "hybrid",
- "documents": [],
- "relevant_docs": [],
- "generation": "",
- "retry_count": 0,
- })
- response = result["generation"]
-
- return response
-
-
-# ============================================================
-# API 路由(全部通过 Depends 注入 AppState)
-# ============================================================
-
-@app.get("/api/health")
-async def health_check():
- return {"status": "ok", "version": "2.0.0"}
-
-
-@app.get("/api/stats", response_model=StatsResponse)
-async def get_stats(state: AppState = Depends(get_app_state)):
- stats = state.stats
- return StatsResponse(
- success=True,
- categories=stats["categories"],
- total_notes=stats["total_notes"],
- total_chunks=stats["total_chunks"],
- message=f"知识库就绪,共 {len(stats['categories'])} 个品类",
- )
-
-
-@app.post("/api/insight", response_model=InsightResponse)
-async def run_insight(req: InsightRequest, state: AppState = Depends(get_app_state)):
- t0 = time.time()
- result = await _run_insight_async(req.category, state)
- elapsed = round(time.time() - t0, 2)
-
- return InsightResponse(
- success=True,
- category=req.category,
- report=result["report"],
- notes_count=result["notes_count"],
- generated_count=result["generated_count"],
- elapsed=elapsed,
- )
-
-
-@app.post("/api/qa", response_model=QAResponse)
-async def run_qa(req: QARequest, state: AppState = Depends(get_app_state)):
- t0 = time.time()
- answer = await _run_qa(req.question, state, req.strategy)
- elapsed = round(time.time() - t0, 2)
-
- return QAResponse(
- success=True,
- question=req.question,
- answer=answer,
- elapsed=elapsed,
- )
-
-
-@app.post("/api/evaluate")
-async def run_evaluation(req: EvaluateRequest, state: AppState = Depends(get_app_state)):
- """运行 RAGAS 评估"""
- from src.evaluation import RAGEvaluator
-
- def _qa_sync(q: str, s: str = "hybrid") -> str:
- result = state.graph.invoke({
- "question": q,
- "rewritten_question": "",
- "strategy": s if s != "auto" else "",
- "documents": [],
- "relevant_docs": [],
- "generation": "",
- "retry_count": 0,
- })
- return result["generation"]
-
- evaluator = RAGEvaluator(
- qa_func=_qa_sync,
- hybrid_retriever=state.hybrid_retriever,
- reranker=state.reranker,
- )
-
- categories = req.categories or None
- results = evaluator.evaluate(categories=categories)
-
- return JSONResponse(content={
- "success": True,
- "evaluated_categories": results["categories"],
- "total_questions": results["total_questions"],
- "ragas_scores": results["ragas_scores"],
- "timing_scores": results["timing_scores"],
- "overall_score": results["overall_score"],
- "grade": results["grade"],
- })
-
-
-@app.post("/api/crawl")
-async def trigger_crawl(req: CrawlRequest, state: AppState = Depends(get_app_state)):
- """触发数据抓取"""
- from src.crawler import CrawlerInterface
- crawler = CrawlerInterface(raw_dir=state.raw_dir)
-
- result = await asyncio.to_thread(crawler.crawl, req.category, req.count)
-
- if result["count"] > 0:
- await state.rebuild_indexes()
- state.stats["total_notes"] = len(os.listdir(state.raw_dir))
-
- return JSONResponse(content={
- "success": result["count"] > 0,
- "method": result["method"],
- "count": result["count"],
- "message": f"抓取完成: {result['count']} 篇" if result["count"] > 0 else "抓取失败",
- })
-
-
-# ============================================================
-# 静态文件托管
-# ============================================================
-
-static_dir = Path(__file__).parent / "static"
-
-
-@app.get("/")
-async def serve_frontend():
- return FileResponse(static_dir / "index.html")
-
-
-if static_dir.exists():
- app.mount("/static", StaticFiles(directory=str(static_dir)), name="static")
-
-
-# ============================================================
-# 启动入口
-# ============================================================
-
-if __name__ == "__main__":
- import uvicorn
- print("RedNote Insight API starting...")
- print(" API: http://localhost:8000")
- print(" Front: http://localhost:8000")
- print(" Docs: http://localhost:8000/docs")
- uvicorn.run("api:app", host="0.0.0.0", port=8000, reload=True)
+from src.api.main import app
diff --git a/app.py b/app.py
index 5c90e88..77f4de4 100644
--- a/app.py
+++ b/app.py
@@ -1,12 +1,13 @@
"""
app.py - 小红书爆款雷达(Streamlit 入口)
-Phase 1: 基础 RAG 问答
-Phase 3: 评论区需求挖掘洞察模式
-Phase 4: 查询时自动抓取 — 知识库没有就现场生成
+===========================================
+Day 4 重构:删除了与 AppState 重复的 build_runtime / reload_after_fetch 逻辑,
+改用 AppState 统一管理运行时状态。
"""
import streamlit as st
import sys
import os
+import time
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
@@ -16,175 +17,46 @@
# ======================================================================
-# 第一部分:一次性初始化(缓存)
+# 第一部分:初始化(委托给 AppState)
# ======================================================================
@st.cache_resource
-def init_base():
- """缓存:Embedding / Reranker 等不需要随数据变化而变化的对象"""
- from src.ingestion import load_raw_documents, chunk_documents, load_vectorstore, build_vectorstore, rebuild_all_chunks
- from src.retrievers import APIReranker
-
- project_root = os.path.dirname(os.path.abspath(__file__))
- raw_dir = os.path.join(project_root, "data", "raw")
- chroma_dir = os.path.join(project_root, "data", "chroma_db")
- chroma_db_file = os.path.join(chroma_dir, "chroma.sqlite3")
-
- # 检查数据是否存在
- raw_files = [f for f in os.listdir(raw_dir) if f.endswith((".txt", ".md"))] if os.path.exists(raw_dir) else []
- if not raw_files:
- return None, "暂无数据,请用 generate_data.py 生成数据后刷新页面。"
-
- # 加载或构建向量库
- if os.path.exists(chroma_db_file):
- vectorstore = load_vectorstore()
- else:
- docs = load_raw_documents()
- chunks = chunk_documents(docs)
- vectorstore = build_vectorstore(chunks)
-
- # Reranker(CrossEncoder API,不随数据变化)
- reranker = APIReranker()
-
- return {
- "vectorstore": vectorstore,
- "reranker": reranker,
- "raw_dir": raw_dir,
- "chroma_dir": chroma_dir,
- }, None
-
-
-# ======================================================================
-# 第二部分:可变运行时状态(存储在 session_state,支持动态更新)
-# ======================================================================
-
-def build_runtime(base: dict):
- """从当前磁盘数据构建 BM25 / HybridRetriever / LangGraph"""
- from src.ingestion import rebuild_all_chunks
- from src.retrievers import HybridRetriever
- from src.graph import build_graph
- from rank_bm25 import BM25Okapi
- import jieba
-
- vectorstore = base["vectorstore"]
- raw_dir = base["raw_dir"]
- reranker = base["reranker"]
-
- # 加载全部文档 + chunk
- chunks = rebuild_all_chunks(raw_dir)
-
- # BM25 索引
- tokenized = [list(jieba.cut(d.page_content)) for d in chunks]
- bm25 = BM25Okapi(tokenized)
-
- # HybridRetriever
- hybrid_retriever = HybridRetriever(vectorstore, chunks)
-
- # BM25 搜索函数
- def bm25_search(query: str, k: int = 3):
- tokenized_query = list(jieba.cut(query))
- scores = bm25.get_scores(tokenized_query)
- top_idx = sorted(range(len(scores)), key=lambda i: scores[i], reverse=True)[:k]
- return [chunks[i] for i in top_idx]
+def init_app_state_sync():
+ """Streamlit cache_resource 装饰器确保只执行一次。
- # LangGraph
- graph = build_graph(vectorstore, bm25_search, hybrid_retriever, reranker=reranker)
-
- return {
- "chunks": chunks,
- "bm25": bm25,
- "hybrid_retriever": hybrid_retriever,
- "bm25_search": bm25_search,
- "graph": graph,
- }
-
-
-def reload_after_fetch():
- """
- 当 fetcher 写入了新数据后调用此函数:
- 增量入库 → 重建 chunk → 重建 BM25/Hybrid/Graph
+ AppState.init_sync() 内部新建事件循环运行 async 初始化。
"""
- from src.ingestion import incremental_ingest, rebuild_all_chunks
- from src.retrievers import HybridRetriever
- from src.graph import build_graph
- from rank_bm25 import BM25Okapi
- import jieba
-
- base = st.session_state.base
- vectorstore = base["vectorstore"]
- raw_dir = base["raw_dir"]
- reranker = base["reranker"]
-
- # 增量入库
- incremental_ingest(raw_dir, vectorstore)
-
- # 重建全部 chunks(新老数据一起)
- chunks = rebuild_all_chunks(raw_dir)
-
- # BM25
- tokenized = [list(jieba.cut(d.page_content)) for d in chunks]
- bm25 = BM25Okapi(tokenized)
-
- # Hybrid
- hybrid_retriever = HybridRetriever(vectorstore, chunks)
-
- def bm25_search(query: str, k: int = 3):
- tokenized_query = list(jieba.cut(query))
- scores = bm25.get_scores(tokenized_query)
- top_idx = sorted(range(len(scores)), key=lambda i: scores[i], reverse=True)[:k]
- return [chunks[i] for i in top_idx]
-
- # Graph
- graph = build_graph(vectorstore, bm25_search, hybrid_retriever, reranker=reranker)
-
- # 更新 session_state
- st.session_state.runtime = {
- "chunks": chunks,
- "bm25": bm25,
- "hybrid_retriever": hybrid_retriever,
- "bm25_search": bm25_search,
- "graph": graph,
- }
- st.session_state.data_version += 1
+ from src.core.state import AppState
+ state = AppState()
+ state.init_sync()
+ if state.error:
+ return state, state.error
+ return state, None
-# ======================================================================
-# 初始化入口
-# ======================================================================
-
-base, error = init_base()
+state, error = init_app_state_sync()
if error:
st.warning(error)
st.info("提示: 运行 `python generate_data.py` 生成演示数据。")
st.stop()
-# 保持 base 在 session_state(供 reload_after_fetch 使用)
-if "base" not in st.session_state:
- st.session_state.base = base
-# 初次或刷新时构建运行时
-if "runtime" not in st.session_state:
- st.session_state.runtime = build_runtime(base)
+if "data_version" not in st.session_state:
st.session_state.data_version = 0
-runtime = st.session_state.runtime
-graph = runtime["graph"]
-hybrid_retriever = runtime["hybrid_retriever"]
-chunks = runtime["chunks"]
-raw_dir = base["raw_dir"]
-reranker = base["reranker"]
+graph = state.graph
+hybrid_retriever = state.hybrid_retriever
+chunks = state.chunks
+raw_dir = state.raw_dir
+reranker = state.reranker
# ======================================================================
-# 第三部分:洞察管道(核心变更:无匹配 → 自动抓取)
+# 第二部分:洞察管道
# ======================================================================
def run_insight_pipeline(query: str, status_placeholder=None, stream: bool = False):
- """
- 完整的洞察流程。
- stream=False: 返回完整字符串(API 模式)
- stream=True: 返回生成器,在生成阶段逐 token yield(Streamlit 流式输出)
- """
+ """完整洞察流程(同步,Streamlit 环境)"""
from src.agents.comment_agent import CommentAnalyzer
from src.agents.demand_agent import DemandAggregator
from src.agents.insight_agent import InsightGenerator
@@ -194,7 +66,6 @@ def run_insight_pipeline(query: str, status_placeholder=None, stream: bool = Fal
generator = InsightGenerator()
def _do_insight(docs, category):
- """文档 → 分析 → 聚合 → 报告(非流式)"""
analyzer = CommentAnalyzer(raw_dir=raw_dir)
analyses = analyzer.analyze(docs)
if not analyses:
@@ -210,20 +81,16 @@ def _do_insight(docs, category):
report += f"\n\n(注:LLM 生成失败,使用模板兜底。错误:{e})"
return report
- # 1. 扩大检索范围(从 10 → 20 篇)
docs = hybrid_retriever.hybrid_search(query, k=MIN_NOTES, bm25_k=40, final_k=MIN_NOTES)
if not docs:
return "检索失败,请刷新页面重试。"
- # 2. CrossEncoder 过滤
scores = reranker.rerank(query, docs)
relevant = [doc for doc, s in zip(docs, scores) if s >= RERANKER_THRESHOLD]
if len(relevant) >= MIN_NOTES:
- # ✅ 有足够数据(≥20 篇),正常走管道
return _do_insight(relevant, query)
- # ❌ 数据不足(< 20 篇)→ 🔥 触发真实爬虫从小红书抓取
current_count = len(relevant)
fetch_target = max(MIN_NOTES - current_count + 5, 30)
@@ -259,35 +126,28 @@ def _do_insight(docs, category):
if status_placeholder:
status_placeholder.success(f"✅ 已从小红书抓取 {count} 篇「{query}」真实笔记,正在入库并分析...")
- # 增量入库 + 重建索引
- reload_after_fetch()
+ # ✅ Day 4: 委托给 AppState 统一重建
+ state.rebuild_sync()
+ st.session_state.data_version += 1
- # 用更新后的 retriever 重新查询
- import time
- time.sleep(0.5) # 等 chromadb 落盘
- fresh_docs = st.session_state.runtime["hybrid_retriever"].hybrid_search(
- query, k=MIN_NOTES, bm25_k=40, final_k=MIN_NOTES
- )
+ time.sleep(0.5)
+ fresh_docs = state.hybrid_retriever.hybrid_search(query, k=MIN_NOTES, bm25_k=40, final_k=MIN_NOTES)
fresh_scores = reranker.rerank(query, fresh_docs)
fresh_relevant = [doc for doc, s in zip(fresh_docs, fresh_scores) if s >= RERANKER_THRESHOLD]
if not fresh_relevant:
return f"已从小红书抓取 {count} 篇「{query}」笔记,但检索仍未匹配。请稍后重试或更换关键词。"
- # 用新数据生成洞察
report = _do_insight(fresh_relevant, query)
- report = (
- f"(📥 已从小红书实时抓取「{query}」{count} 篇真实笔记,"
- f"当前共 {len(fresh_relevant)} 篇相关笔记)\n\n{report}"
- )
+ report = (f"(📥 已从小红书实时抓取「{query}」{count} 篇真实笔记,"
+ f"当前共 {len(fresh_relevant)} 篇相关笔记)\n\n{report}")
return report
# ======================================================================
-# 第四部分:Streamlit UI
+# 第三部分:Streamlit UI
# ======================================================================
-# ---- 侧边栏 ----
with st.sidebar:
st.subheader("模式选择")
mode = st.radio(
@@ -334,7 +194,6 @@ def _do_insight(docs, category):
# ---- 主界面 ----
if mode == "问答模式":
- # ========== 问答模式 ==========
st.subheader("💬 问答")
if "qa_messages" not in st.session_state:
@@ -363,11 +222,10 @@ def _do_insight(docs, category):
})
response = result["generation"]
- # 🚀 如果没有答案 → 自动从小红书抓取真实数据 → 重新检索回答
if "无法回答" in response or "根据现有资料" in response:
from src.crawler import CrawlerInterface
- category = prompt # 直接用问题作为品类名
+ category = prompt
status.info(f"🔍 知识库中暂无「{category}」相关信息,正在从小红书实时抓取...")
cookies_json = ""
@@ -385,14 +243,14 @@ def _do_insight(docs, category):
if count > 0:
status.success(f"✅ 已从小红书抓取 {count} 篇「{category}」真实笔记,正在重新检索回答...")
- reload_after_fetch()
+ # ✅ Day 4: 委托给 AppState 统一重建
+ state.rebuild_sync()
+ st.session_state.data_version += 1
- import time
time.sleep(0.5)
- # 使用更新后的 graph 重新问答
- fresh_graph = st.session_state.runtime["graph"]
- result = fresh_graph.invoke({
+ graph = state.graph
+ result = graph.invoke({
"question": prompt,
"rewritten_question": "",
"strategy": strategy if strategy != "auto" else "",
@@ -404,14 +262,10 @@ def _do_insight(docs, category):
response = result["generation"]
if "无法回答" in response or "根据现有资料" in response:
- response = (
- f"(📥 已从小红书抓取 {count} 篇真实笔记,"
- f"但检索仍未匹配到相关信息)\n\n{response}"
- )
+ response = (f"(📥 已从小红书抓取 {count} 篇真实笔记,"
+ f"但检索仍未匹配到相关信息)\n\n{response}")
else:
- response = (
- f"(📥 已从小红书实时抓取 {count} 篇真实笔记作为知识补充)\n\n{response}"
- )
+ response = (f"(📥 已从小红书实时抓取 {count} 篇真实笔记作为知识补充)\n\n{response}")
else:
response = f"抱歉,无法从小红书获取「{category}」的数据。请检查网络连接后重试。"
@@ -420,7 +274,6 @@ def _do_insight(docs, category):
st.session_state.qa_messages.append({"role": "assistant", "content": response})
else:
- # ========== 洞察模式 ==========
st.subheader("📊 选品洞察")
if "insight_messages" not in st.session_state:
@@ -440,7 +293,6 @@ def _do_insight(docs, category):
report_container = st.empty()
with st.spinner("分析评论区数据中..."):
stream_gen = run_insight_pipeline(prompt, status_placeholder=status, stream=True)
- # 流式输出
full_report = ""
for chunk in stream_gen:
full_report += chunk
@@ -450,6 +302,5 @@ def _do_insight(docs, category):
st.session_state.insight_messages.append({"role": "assistant", "content": full_report})
-# ---- 底部 ----
st.markdown("---")
-st.caption(f"🎯 小红书爆款雷达 v0.3 · 问答 + 洞察 + 自动抓取 · 数据版本 {st.session_state.data_version}")
+st.caption(f"🎯 小红书爆款雷达 v0.4 · 问答 + 洞察 + 自动抓取 · 数据版本 {st.session_state.data_version}")
diff --git a/src/api/main.py b/src/api/main.py
new file mode 100644
index 0000000..7802c83
--- /dev/null
+++ b/src/api/main.py
@@ -0,0 +1,70 @@
+"""
+main.py — FastAPI 应用组装
+============================
+将各路由模块注册到 app,配置生命周期和静态文件托管。
+
+启动: uv run uvicorn src.api.main:app --port 8000
+"""
+import sys
+import os
+from pathlib import Path
+from contextlib import asynccontextmanager
+
+from fastapi import FastAPI
+from fastapi.staticfiles import StaticFiles
+from fastapi.responses import FileResponse
+
+sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))
+
+from src.core.state import init_app_state
+from src.api.routes import health, qa, insight, evaluate, crawl
+
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+ """应用启动时初始化 AppState,关闭时清理"""
+ print("[API] Initializing runtime...")
+ app.state.app_state = await init_app_state()
+ state = app.state.app_state
+ if state.error:
+ print(f"[API] WARNING: {state.error}")
+ else:
+ print(f"[API] READY — {state.stats['total_chunks']} chunks")
+ yield
+ print("[API] Shutting down")
+
+
+app = FastAPI(
+ title="小红书爆款雷达 API",
+ description="翻评论、找痛点、定方向 — AI 选品洞察引擎",
+ version="2.0.0",
+ lifespan=lifespan,
+)
+
+# 注册路由
+app.include_router(health.router)
+app.include_router(qa.router)
+app.include_router(insight.router)
+app.include_router(evaluate.router)
+app.include_router(crawl.router)
+
+# 静态文件托管
+static_dir = Path(__file__).parent.parent.parent / "static"
+
+
+@app.get("/")
+async def serve_frontend():
+ return FileResponse(static_dir / "index.html")
+
+
+if static_dir.exists():
+ app.mount("/static", StaticFiles(directory=str(static_dir)), name="static")
+
+
+if __name__ == "__main__":
+ import uvicorn
+ print("RedNote Insight API starting...")
+ print(" API: http://localhost:8000")
+ print(" Front: http://localhost:8000")
+ print(" Docs: http://localhost:8000/docs")
+ uvicorn.run("src.api.main:app", host="0.0.0.0", port=8000, reload=True)
diff --git a/src/api/routes/__init__.py b/src/api/routes/__init__.py
new file mode 100644
index 0000000..557b975
--- /dev/null
+++ b/src/api/routes/__init__.py
@@ -0,0 +1 @@
+# API 路由模块
diff --git a/src/api/routes/crawl.py b/src/api/routes/crawl.py
new file mode 100644
index 0000000..308e050
--- /dev/null
+++ b/src/api/routes/crawl.py
@@ -0,0 +1,36 @@
+"""crawl.py — 数据抓取端点"""
+import os
+import asyncio
+from fastapi import APIRouter, Depends
+from fastapi.responses import JSONResponse
+from pydantic import BaseModel
+
+from src.api.dependencies import get_app_state
+from src.core.state import AppState
+
+router = APIRouter(tags=["crawl"])
+
+
+class CrawlRequest(BaseModel):
+ category: str
+ count: int = 20
+
+
+@router.post("/api/crawl")
+async def trigger_crawl(req: CrawlRequest, state: AppState = Depends(get_app_state)):
+ """触发数据抓取"""
+ from src.crawler import CrawlerInterface
+ crawler = CrawlerInterface(raw_dir=state.raw_dir)
+
+ result = await asyncio.to_thread(crawler.crawl, req.category, req.count)
+
+ if result["count"] > 0:
+ await state.rebuild_indexes()
+ state.stats["total_notes"] = len(os.listdir(state.raw_dir))
+
+ return JSONResponse(content={
+ "success": result["count"] > 0,
+ "method": result["method"],
+ "count": result["count"],
+ "message": f"抓取完成: {result['count']} 篇" if result["count"] > 0 else "抓取失败",
+ })
diff --git a/src/api/routes/evaluate.py b/src/api/routes/evaluate.py
new file mode 100644
index 0000000..d69b5ff
--- /dev/null
+++ b/src/api/routes/evaluate.py
@@ -0,0 +1,47 @@
+"""evaluate.py — RAGAS 评估端点"""
+from fastapi import APIRouter, Depends
+from fastapi.responses import JSONResponse
+from pydantic import BaseModel
+
+from src.api.dependencies import get_app_state
+from src.core.state import AppState
+
+router = APIRouter(tags=["evaluate"])
+
+
+class EvaluateRequest(BaseModel):
+ categories: list[str] = []
+
+
+@router.post("/api/evaluate")
+async def run_evaluation(req: EvaluateRequest, state: AppState = Depends(get_app_state)):
+ """运行 RAGAS 评估"""
+ from src.evaluation import RAGEvaluator
+
+ def _qa_sync(q: str, s: str = "hybrid") -> str:
+ result = state.graph.invoke({
+ "question": q, "rewritten_question": "",
+ "strategy": s if s != "auto" else "",
+ "documents": [], "relevant_docs": [],
+ "generation": "", "retry_count": 0,
+ })
+ return result["generation"]
+
+ evaluator = RAGEvaluator(
+ qa_func=_qa_sync,
+ hybrid_retriever=state.hybrid_retriever,
+ reranker=state.reranker,
+ )
+
+ categories = req.categories or None
+ results = evaluator.evaluate(categories=categories)
+
+ return JSONResponse(content={
+ "success": True,
+ "evaluated_categories": results["categories"],
+ "total_questions": results["total_questions"],
+ "ragas_scores": results["ragas_scores"],
+ "timing_scores": results["timing_scores"],
+ "overall_score": results["overall_score"],
+ "grade": results["grade"],
+ })
diff --git a/src/api/routes/health.py b/src/api/routes/health.py
new file mode 100644
index 0000000..52edcc7
--- /dev/null
+++ b/src/api/routes/health.py
@@ -0,0 +1,23 @@
+"""health.py — 健康检查 + 统计端点"""
+from fastapi import APIRouter, Depends
+from src.api.dependencies import get_app_state
+from src.core.state import AppState
+
+router = APIRouter(tags=["health"])
+
+
+@router.get("/api/health")
+async def health_check():
+ return {"status": "ok", "version": "2.0.0"}
+
+
+@router.get("/api/stats")
+async def get_stats(state: AppState = Depends(get_app_state)):
+ stats = state.stats
+ return {
+ "success": True,
+ "categories": stats["categories"],
+ "total_notes": stats["total_notes"],
+ "total_chunks": stats["total_chunks"],
+ "message": f"知识库就绪,共 {len(stats['categories'])} 个品类",
+ }
diff --git a/src/api/routes/insight.py b/src/api/routes/insight.py
new file mode 100644
index 0000000..22d011a
--- /dev/null
+++ b/src/api/routes/insight.py
@@ -0,0 +1,102 @@
+"""insight.py — 选品洞察端点"""
+import time
+import asyncio
+from fastapi import APIRouter, Depends
+from pydantic import BaseModel
+
+from src.api.dependencies import get_app_state
+from src.core.state import AppState
+
+router = APIRouter(tags=["insight"])
+
+
+class InsightRequest(BaseModel):
+ category: str
+
+
+class InsightResponse(BaseModel):
+ success: bool
+ category: str
+ report: str
+ notes_count: int
+ generated_count: int = 0
+ elapsed: float
+
+
+@router.post("/api/insight", response_model=InsightResponse)
+async def run_insight(req: InsightRequest, state: AppState = Depends(get_app_state)):
+ t0 = time.time()
+ result = await _run_insight_async(req.category, state)
+ elapsed = round(time.time() - t0, 2)
+ return InsightResponse(
+ success=True, category=req.category,
+ report=result["report"], notes_count=result["notes_count"],
+ generated_count=result["generated_count"], elapsed=elapsed,
+ )
+
+
+async def _run_insight_async(query: str, state: AppState) -> dict:
+ """执行洞察管道(全异步)"""
+ from src.agents.comment_agent import CommentAnalyzer
+ from src.agents.demand_agent import DemandAggregator
+ from src.agents.insight_agent import InsightGenerator
+ from src.config import RERANKER_THRESHOLD
+ from src.crawler import CrawlerInterface
+
+ MIN_NOTES = 10
+ CRAWL_COUNT = 30
+
+ async def _do_insight(docs, category):
+ analyzer = CommentAnalyzer(raw_dir=state.raw_dir)
+ analyses = analyzer.analyze(docs)
+ if not analyses:
+ return "没有找到评论分析数据。"
+ aggregator = DemandAggregator()
+ aggregated = aggregator.aggregate(analyses)
+ generator = InsightGenerator()
+ try:
+ report = await generator.agenerate(aggregated, category=category)
+ except Exception as e:
+ report = generator.generate_fallback(aggregated, category=category)
+ report += f"\n\n(注:LLM 生成失败,使用模板兜底。错误:{e})"
+ return report
+
+ docs = await state.hybrid_retriever.ahybrid_search(query, k=MIN_NOTES, bm25_k=40, final_k=MIN_NOTES)
+ if not docs:
+ docs = []
+
+ scores = await state.reranker.arerank(query, docs) if docs else []
+ relevant = [doc for doc, s in zip(docs, scores) if s >= RERANKER_THRESHOLD]
+
+ crawled_count = 0
+ if len(relevant) >= 3:
+ report = await _do_insight(relevant, query)
+ else:
+ crawler = CrawlerInterface(raw_dir=state.raw_dir)
+ if not crawler.is_available:
+ return {
+ "report": f"知识库无「{query}」数据,且爬虫不可用。\n\n"
+ f"💡 请先在命令行运行 `uv run python src/real_crawler.py \"{query}\"` 登录并抓取数据。",
+ "notes_count": 0, "generated_count": 0,
+ }
+
+ result = await asyncio.to_thread(crawler.crawl, query, CRAWL_COUNT)
+ crawled_count = result["count"]
+ if crawled_count == 0:
+ return {"report": f"抱歉,无法从小红书获取「{query}」的数据。", "notes_count": 0, "generated_count": 0}
+
+ await state.rebuild_indexes()
+ await asyncio.sleep(0.5)
+
+ fresh_docs = await state.hybrid_retriever.ahybrid_search(query, k=MIN_NOTES, bm25_k=40, final_k=MIN_NOTES)
+ fresh_scores = await state.reranker.arerank(query, fresh_docs) if fresh_docs else []
+ fresh_relevant = [doc for doc, s in zip(fresh_docs, fresh_scores) if s >= RERANKER_THRESHOLD]
+ if not fresh_relevant:
+ return {"report": f"已从小红书抓取 {crawled_count} 篇笔记,但检索仍未匹配。", "notes_count": 0, "generated_count": crawled_count}
+
+ report = await _do_insight(fresh_relevant, query)
+ report = f"(📥 已从小红书实时抓取「{query}」{crawled_count} 篇真实笔记)\n\n{report}"
+
+ return {"report": report,
+ "notes_count": len(relevant) if crawled_count == 0 else len(fresh_relevant),
+ "generated_count": crawled_count}
diff --git a/src/api/routes/qa.py b/src/api/routes/qa.py
new file mode 100644
index 0000000..f53923c
--- /dev/null
+++ b/src/api/routes/qa.py
@@ -0,0 +1,55 @@
+"""qa.py — QA 问答端点"""
+import time
+from fastapi import APIRouter, Depends
+from pydantic import BaseModel
+
+from src.api.dependencies import get_app_state
+from src.core.state import AppState
+
+router = APIRouter(tags=["qa"])
+
+
+class QARequest(BaseModel):
+ question: str
+ strategy: str = "hybrid"
+
+
+class QAResponse(BaseModel):
+ success: bool
+ question: str
+ answer: str
+ elapsed: float
+
+
+@router.post("/api/qa", response_model=QAResponse)
+async def run_qa(req: QARequest, state: AppState = Depends(get_app_state)):
+ t0 = time.time()
+ answer = await _run_qa(req.question, state, req.strategy)
+ elapsed = round(time.time() - t0, 2)
+ return QAResponse(success=True, question=req.question, answer=answer, elapsed=elapsed)
+
+
+async def _run_qa(question: str, state: AppState, strategy: str = "hybrid") -> str:
+ """执行 QA 管道(全异步,graph.ainvoke())"""
+ result = await state.graph.ainvoke({
+ "question": question,
+ "rewritten_question": "",
+ "strategy": strategy if strategy != "auto" else "",
+ "documents": [],
+ "relevant_docs": [],
+ "generation": "",
+ "retry_count": 0,
+ })
+ response = result["generation"]
+ if "无法回答" in response or "根据现有资料" in response:
+ result = await state.graph.ainvoke({
+ "question": question,
+ "rewritten_question": "",
+ "strategy": "hybrid",
+ "documents": [],
+ "relevant_docs": [],
+ "generation": "",
+ "retry_count": 0,
+ })
+ response = result["generation"]
+ return response
diff --git a/src/core/state.py b/src/core/state.py
index a88ed78..a4ef652 100644
--- a/src/core/state.py
+++ b/src/core/state.py
@@ -167,6 +167,30 @@ def _refresh_stats(self) -> None:
"total_chunks": len(self.chunks),
}
+ # ================================================================
+ # 同步方法(供 Streamlit 等同步框架使用)
+ # ================================================================
+
+ def init_sync(self) -> None:
+ """同步初始化(供 Streamlit 使用)
+
+ Streamlit 不支持 async,但 AppState.initialize() 是 async 的。
+ 通过新建事件循环桥接。
+ """
+ loop = asyncio.new_event_loop()
+ try:
+ loop.run_until_complete(self.initialize())
+ finally:
+ loop.close()
+
+ def rebuild_sync(self) -> None:
+ """同步重建索引(供 Streamlit 使用)"""
+ loop = asyncio.new_event_loop()
+ try:
+ loop.run_until_complete(self.rebuild_indexes())
+ finally:
+ loop.close()
+
async def init_app_state() -> AppState:
"""创建并初始化 AppState(供 lifespan 使用)"""
From f6056d534fbd8e24fbc7cc05b9d5f5521c893c94 Mon Sep 17 00:00:00 2001
From: amazingniuma-art
Date: Tue, 23 Jun 2026 15:45:01 +0800
Subject: [PATCH 4/9] =?UTF-8?q?feat:=20Day=207-10=20=E2=80=94=20Docker=20+?=
=?UTF-8?q?=20SSE=20+=20LangFuse=20+=20Prompt=20YAML=20+=20Testing=20+=20R?=
=?UTF-8?q?ate=20Limiting?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
Day 7: Docker + CI
- Dockerfile: 多阶段构建 (python:3.11-slim + uv)
- docker-compose.yml: API + PostgreSQL(pgvector) + Redis
- .github/workflows/ci.yml: lint → test → build
- .dockerignore: 优化构建上下文
- .env.example: 新增 DATABASE_URL, REDIS_URL, LangFuse, 限流配置
- src/config.py: 新增 database/redis/langfuse/rate_limit 配置
- src/api/main.py: 集成 RequestID + CORS + 全局异常处理中间件
Day 8: SSE Streaming
- src/api/routes/qa_stream.py: POST /api/qa/stream (逐 token 流式)
- src/api/routes/insight_stream.py: POST /api/insight/stream (逐阶段流式)
- src/agents/insight_agent.py: 新增 astream() 异步流式生成
- static/js/app.js: SSE 前端消费 (fetch + ReadableStream)
Day 9: LangFuse + Prompt YAML
- src/core/observability.py: LangFuse CallbackHandler 集成
- src/core/prompt_loader.py: Prompt YAML 加载器 (缓存+热重载)
- src/prompts/: 4 个 YAML Prompt (gen_answer, rewrite_query, supervisor, insight_report)
- src/graph.py: 从 YAML 加载 Prompt 替代硬编码
- src/agents/supervisor.py: 从 YAML 加载 Prompt
- src/agents/insight_agent.py: 从 YAML 加载 Prompt (v2)
Day 10: Testing + Rate Limiting + Delivery
- tests/test_api/: API 集成测试 (health, qa, insight)
- tests/test_agents/: Agent 单元测试 (supervisor, insight_agent)
- src/api/main.py: slowapi 限流基础设施
- README.md: 完整重写 (新架构图+Docker+API文档+流式)
- pyproject.toml: v1.0.0, 新增 slowapi/langfuse/asyncpg/sqlalchemy/alembic
- src/core/state.py: 清理重复代码
- src/api/middle.py: 删除 (已集成到 main.py)
总计: 32 files changed, ~2000+ lines added
---
.dockerignore | 38 +++
.env.example | 26 ++
.github/workflows/ci.yml | 133 ++++++++
Dockerfile | 61 ++++
README.md | 320 +++++++++++-------
.../data_level0.bin | Bin 423600 -> 423600 bytes
.../length.bin | Bin 400 -> 400 bytes
data/chroma_db/chroma.sqlite3 | Bin 5869568 -> 5869568 bytes
docker-compose.yml | 83 +++++
pyproject.toml | 9 +-
src/agents/insight_agent.py | 127 +++----
src/agents/supervisor.py | 20 +-
src/api/dependencies.py | 1 +
src/api/main.py | 107 +++++-
src/api/routes/crawl.py | 2 -
src/api/routes/insight_stream.py | 195 +++++++++++
src/api/routes/qa_stream.py | 126 +++++++
src/config.py | 199 ++++++++---
src/core/observability.py | 58 ++++
src/core/prompt_loader.py | 144 ++++++++
src/core/state.py | 1 +
src/graph.py | 19 +-
src/logger.py | 59 ++--
src/prompts/gen_answer_v1.yaml | 20 ++
src/prompts/insight_report_v2.yaml | 74 ++++
src/prompts/rewrite_query_v1.yaml | 16 +
src/prompts/supervisor_v1.yaml | 19 ++
static/js/app.js | 170 +++++++++-
tests/test_agents/__init__.py | 0
tests/test_agents/test_insight_agent.py | 114 +++++++
tests/test_agents/test_supervisor.py | 66 ++++
tests/test_api/__init__.py | 0
tests/test_api/test_health.py | 52 +++
tests/test_api/test_insight.py | 45 +++
tests/test_api/test_qa.py | 47 +++
uv.lock | 16 +
36 files changed, 2067 insertions(+), 300 deletions(-)
create mode 100644 .dockerignore
create mode 100644 .github/workflows/ci.yml
create mode 100644 Dockerfile
create mode 100644 docker-compose.yml
create mode 100644 src/api/routes/insight_stream.py
create mode 100644 src/api/routes/qa_stream.py
create mode 100644 src/core/observability.py
create mode 100644 src/core/prompt_loader.py
create mode 100644 src/prompts/gen_answer_v1.yaml
create mode 100644 src/prompts/insight_report_v2.yaml
create mode 100644 src/prompts/rewrite_query_v1.yaml
create mode 100644 src/prompts/supervisor_v1.yaml
create mode 100644 tests/test_agents/__init__.py
create mode 100644 tests/test_agents/test_insight_agent.py
create mode 100644 tests/test_agents/test_supervisor.py
create mode 100644 tests/test_api/__init__.py
create mode 100644 tests/test_api/test_health.py
create mode 100644 tests/test_api/test_insight.py
create mode 100644 tests/test_api/test_qa.py
diff --git a/.dockerignore b/.dockerignore
new file mode 100644
index 0000000..cb7e83b
--- /dev/null
+++ b/.dockerignore
@@ -0,0 +1,38 @@
+# Python
+__pycache__/
+*.py[cod]
+*.egg-info/
+.venv/
+dist/
+build/
+
+# Git
+.git/
+.gitignore
+
+# IDE
+.vscode/
+.idea/
+
+# Environment
+.env
+
+# Logs
+*.log
+
+# Test
+.pytest_cache/
+htmlcov/
+.coverage
+
+# Docker
+Dockerfile
+.dockerignore
+docker-compose.yml
+
+# OS
+.DS_Store
+Thumbs.db
+
+# Project specific
+data/chroma_db/*.sqlite3
diff --git a/.env.example b/.env.example
index 3582972..d110e21 100644
--- a/.env.example
+++ b/.env.example
@@ -26,6 +26,32 @@ EMBEDDING_MODEL=BAAI/bge-m3
# Cross-Encoder for relevance scoring
RERANKER_MODEL=BAAI/bge-reranker-v2-m3
+# ===== PostgreSQL(Docker Compose 内自动配置)=====
+# 本地开发(非 Docker):用自己的 PG 实例
+# DATABASE_URL=postgresql+asyncpg://postgres:postgres@localhost:5432/rednote_insight
+#
+# Docker Compose 部署:自动通过 docker-compose.yml 注入
+# DATABASE_URL=postgresql+asyncpg://postgres:postgres@db:5432/rednote_insight
+
+# ===== Redis(Docker Compose 内自动配置)=====
+# 本地开发(非 Docker):
+# REDIS_URL=redis://localhost:6379/0
+#
+# Docker Compose 部署:自动通过 docker-compose.yml 注入
+# REDIS_URL=redis://redis:6379/0
+
+# ===== LangFuse 可观测性(可选)=====
+# 注册 https://cloud.langfuse.com 获取
+# LANGFUSE_PUBLIC_KEY=pk-...
+# LANGFUSE_SECRET_KEY=sk-...
+# LANGFUSE_HOST=https://cloud.langfuse.com
+
+# ===== 限流配置(可选)=====
+# RATE_LIMIT_ENABLED=true
+# RATE_LIMIT_INSIGHT=10/minute
+# RATE_LIMIT_QA=20/minute
+# RATE_LIMIT_CRAWL=5/minute
+
# ===== 小红书 Cookie(Streamlit Cloud 部署用)=====
# 在本地运行: uv run python scripts/export_cookies.py
# 复制输出的 JSON 粘贴到 Streamlit Cloud Secrets → XHS_COOKIES
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
new file mode 100644
index 0000000..01dc5f4
--- /dev/null
+++ b/.github/workflows/ci.yml
@@ -0,0 +1,133 @@
+# =============================================================================
+# RedNote Insight — CI Pipeline
+# =============================================================================
+# 触发条件:push 到 main 或 PR 到 main
+# 自动运行:lint → test → build
+# =============================================================================
+
+name: CI
+
+on:
+ push:
+ branches: [main, master, refactor/production]
+ pull_request:
+ branches: [main, master]
+
+concurrency:
+ group: ${{ github.workflow }}-${{ github.ref }}
+ cancel-in-progress: true
+
+env:
+ PYTHON_VERSION: "3.11"
+ UV_VERSION: "0.6.x"
+
+jobs:
+ # ===== 1. Lint(代码风格检查)=====
+ lint:
+ name: Lint (ruff)
+ runs-on: ubuntu-latest
+ timeout-minutes: 5
+ steps:
+ - uses: actions/checkout@v4
+
+ - name: Install uv
+ uses: astral-sh/setup-uv@v5
+ with:
+ version: ${{ env.UV_VERSION }}
+
+ - name: Set up Python
+ run: uv python install ${{ env.PYTHON_VERSION }}
+
+ - name: Install dependencies
+ run: uv sync --frozen --no-dev
+
+ - name: Install dev dependencies
+ run: uv sync --frozen
+
+ - name: Run ruff check
+ run: uv run ruff check src/ tests/
+
+ - name: Run ruff format check
+ run: uv run ruff format --check src/ tests/
+
+ # ===== 2. Test(单元测试 + 集成测试)=====
+ test:
+ name: Test (pytest)
+ runs-on: ubuntu-latest
+ timeout-minutes: 15
+ needs: lint
+ services:
+ # PostgreSQL + pgvector(用于向量检索测试)
+ postgres:
+ image: pgvector/pgvector:pg16
+ env:
+ POSTGRES_USER: postgres
+ POSTGRES_PASSWORD: postgres
+ POSTGRES_DB: rednote_insight_test
+ ports:
+ - 5432:5432
+ options: >-
+ --health-cmd pg_isready
+ --health-interval 10s
+ --health-timeout 5s
+ --health-retries 5
+
+ steps:
+ - uses: actions/checkout@v4
+
+ - name: Install uv
+ uses: astral-sh/setup-uv@v5
+ with:
+ version: ${{ env.UV_VERSION }}
+
+ - name: Set up Python
+ run: uv python install ${{ env.PYTHON_VERSION }}
+
+ - name: Install dependencies
+ run: uv sync --frozen
+
+ - name: Generate demo data
+ run: |
+ # 创建 .env 用于 generate_data.py
+ echo "OPENAI_API_KEY=ci-test-key" > .env
+ echo "OPENAI_BASE_URL=https://api.siliconflow.cn/v1" >> .env
+ uv run python generate_data.py
+ continue-on-error: true
+
+ - name: Run tests
+ run: |
+ uv run pytest tests/ \
+ -v \
+ --tb=short \
+ --timeout=60 \
+ -p no:warnings
+ env:
+ OPENAI_API_KEY: ci-test-key
+ OPENAI_BASE_URL: https://api.siliconflow.cn/v1
+
+ # ===== 3. Build(Docker 镜像构建验证)=====
+ build:
+ name: Build (Docker)
+ runs-on: ubuntu-latest
+ timeout-minutes: 15
+ needs: lint
+ steps:
+ - uses: actions/checkout@v4
+
+ - name: Set up Docker Buildx
+ uses: docker/setup-buildx-action@v3
+
+ - name: Build Docker image
+ uses: docker/build-push-action@v6
+ with:
+ context: .
+ push: false
+ load: true
+ tags: rednote-insight:ci-test
+ cache-from: type=gha
+ cache-to: type=gha,mode=max
+
+ - name: Verify image
+ run: |
+ docker images rednote-insight:ci-test
+ echo "✅ Docker 镜像构建成功"
diff --git a/Dockerfile b/Dockerfile
new file mode 100644
index 0000000..f8c9f7f
--- /dev/null
+++ b/Dockerfile
@@ -0,0 +1,61 @@
+# =============================================================================
+# RedNote Insight — 多阶段 Docker 构建
+# =============================================================================
+# 用法:
+# docker build -t rednote-insight .
+# docker run -p 8000:8000 --env-file .env rednote-insight
+# =============================================================================
+
+# ===== Stage 1: Builder — 装依赖 =====
+FROM python:3.11-slim AS builder
+
+WORKDIR /build
+
+# 系统依赖(ChromaDB 需要 sqlite3, jieba 等)
+RUN apt-get update && apt-get install -y --no-install-recommends \
+ build-essential \
+ curl \
+ && rm -rf /var/lib/apt/lists/*
+
+# 安装 uv
+RUN pip install --no-cache-dir uv
+
+# 先复制依赖文件(利用 Docker 缓存层)
+COPY pyproject.toml uv.lock ./
+
+# 安装生产依赖到虚拟环境
+RUN uv sync --frozen --no-dev --no-editable
+
+# ===== Stage 2: Runtime — 最小镜像 =====
+FROM python:3.11-slim AS runtime
+
+WORKDIR /app
+
+# 运行时系统依赖
+RUN apt-get update && apt-get install -y --no-install-recommends \
+ libsqlite3-0 \
+ && rm -rf /var/lib/apt/lists/*
+
+# 从 builder 复制虚拟环境
+COPY --from=builder /build/.venv /app/.venv
+
+# 复制项目源码和配置
+COPY pyproject.toml ./
+COPY src/ ./src/
+COPY static/ ./static/
+COPY data/ ./data/
+COPY .env.example ./
+
+# 创建数据目录(如果不存在)
+RUN mkdir -p /app/data/raw /app/data/chroma_db
+
+# 暴露端口
+EXPOSE 8000
+
+# 健康检查
+HEALTHCHECK --interval=30s --timeout=5s --start-period=30s --retries=3 \
+ CMD curl -f http://localhost:8000/api/health || exit 1
+
+# 启动命令
+CMD [".venv/bin/uv", "run", "uvicorn", "src.api.main:app", \
+ "--host", "0.0.0.0", "--port", "8000", "--log-level", "info"]
diff --git a/README.md b/README.md
index c6a2a3d..2a3278a 100644
--- a/README.md
+++ b/README.md
@@ -5,18 +5,22 @@
-
+
+
+
+
+
+
-
-
+
@@ -28,25 +32,23 @@
- [🏗️ 系统架构](#️-系统架构)
- [✨ 核心特性](#-核心特性)
- [⚡ 快速开始](#-快速开始)
+- [🐳 Docker 部署](#-docker-部署)
- [📊 RAGAS 质量评估](#-ragas-质量评估)
+- [🔌 API 文档](#-api-文档)
- [🔧 技术选型](#-技术选型)
- [📁 项目结构](#-项目结构)
- [🗺️ 路线图](#️-路线图)
---
-## 🎯 在线体验
-
-> **https://rednote-insight.streamlit.app**(部署中)
-
-也可以本地 3 分钟跑起来,见下方[快速开始](#-快速开始)。
-
-### 功能一览
+## 🎯 它能做什么
| 模式 | 你输入 | 它输出 |
|------|--------|--------|
| 📊 **选品洞察** | "健身服" | 结构化市场报告:用户痛点、利润空间、竞争格局、选品建议 |
+| 📊 **流式洞察** | "磁吸感应灯" | 逐阶段 + 逐字输出洞察报告,所见即所得 |
| 💬 **智能问答** | "磁吸感应灯哪个品牌好?" | 基于真实笔记的品牌对比,列出优缺点 |
+| 💬 **流式问答** | 同上 | 逐 token 打字机效果输出答案 |
| 📐 **质量评估** | 点击"运行评估" | RAGAS 四项指标:精度、召回率、忠实度、相关性 |
### 报告示例
@@ -88,36 +90,51 @@
## 🏗️ 系统架构
```mermaid
-flowchart LR
+flowchart TB
subgraph 前端["🖥️ 前端"]
- Web["Web 界面
原生 JS 单页应用"]
- API["FastAPI
REST 接口"]
+ Web["Web 界面
原生 JS + SSE 流式"]
+ end
+
+ subgraph 后端["⚡ FastAPI 后端"]
+ direction LR
+ API["REST 端点"]
+ Stream["SSE 流式端点"]
+ RateLimit["限流 (slowapi)"]
+ Middleware["中间件
RequestID + CORS + 异常处理"]
end
subgraph 核心管道["🧠 AI 管道"]
direction TB
- RAG["🔍 混合检索
向量 + BM25 + RRF"]
- Rerank["📏 重排序
BGE Reranker v2-M3"]
- Graph["🔗 LangGraph
多 Agent 编排"]
- Agents["🤖 4 个分析 Agent
评论→需求→洞察"]
+ Supervisor["调度员
策略路由"]
+ RAG["混合检索
向量 + BM25 + RRF"]
+ Rerank["重排序
BGE Reranker v2-M3"]
+ Graph["LangGraph
自纠错循环"]
+ Agents["4 个分析 Agent
评论→需求→洞察"]
end
subgraph 数据层["💾 数据层"]
- Chrome["ChromaDB
向量库"]
+ Chroma["ChromaDB / PG
向量库"]
Raw["127+ 篇
Markdown 笔记"]
+ Redis["Redis
缓存+限流"]
end
- subgraph 评估["📐 质量保障"]
- RAGAS["RAGAS
四维指标"]
+ subgraph 运维["🔧 运维 & 可观测"]
+ Docker["Docker
docker-compose"]
+ CI["GitHub Actions
CI/CD"]
+ LangFuse["LangFuse
Trace 监控"]
+ PromptYAML["Prompt YAML
版本管理"]
end
- Web --> API
+ Web --> API & Stream
+ API & Stream --> Middleware --> RateLimit
API --> Graph
- Graph --> RAG --> Rerank
- Rerank --> Agents
+ Stream --> Graph
+ Graph --> Supervisor --> RAG --> Rerank --> Agents
Agents --> Graph
- RAG --> Chrome --> Raw
- 评估 --> API
+ RAG --> Chroma --> Raw
+ Docker --> 后端 & 数据层
+ LangFuse -.-> 后端
+ PromptYAML -.-> 核心管道
```
**数据流转:**
@@ -126,7 +143,7 @@ flowchart LR
→ CrossEncoder 重排序(相关度 ≥ 0.1 才保留)
→ 评论分析 Agent(提取投诉 + 购买意向)
→ 需求聚合 Agent(聚类 + 打分)
- → 选品洞察 Agent(LLM 生成报告)
+ → 选品洞察 Agent(LLM 生成报告 / 流式逐 token 输出)
→ RAGAS 质量评估(量化指标)
```
@@ -134,52 +151,47 @@ flowchart LR
## ✨ 核心特性
-### 🔀 混合检索 — 核心能力
-- **向量检索**(BGE-M3):捕捉中文语义相似性,同义词、口语化表达都能命中
-- **BM25 关键词检索**(jieba 分词):精确匹配品牌名、型号、专有名词
-- **RRF 融合算法**:两种排序结果加权合并,互补长短
-- **CrossEncoder 重排序**(BGE Reranker v2-M3):逐条文档打分,比 LLM-as-Judge 快 10 倍、便宜 100 倍
+### 🔀 混合检索
+- **向量检索**(BGE-M3):捕捉中文语义相似性
+- **BM25 关键词检索**(jieba 分词):精确匹配品牌名、型号
+- **RRF 融合算法**:两种排序结果加权合并
+- **CrossEncoder 重排序**(BGE Reranker v2-M3):比 LLM-as-Judge 快 10 倍
### 🤖 LangGraph 多 Agent 协作
| Agent | 职责 |
|-------|------|
-| **Supervisor(调度员)** | 自动分析问题特征,选择最佳检索策略(向量/关键词/混合) |
-| **Comment Analyzer(评论分析)** | 解析 YAML 格式的评论数据,提取用户投诉和购买意向 |
-| **Demand Aggregator(需求聚合)** | 聚类痛点、计算热度评分、识别品牌对比模式 |
-| **Insight Generator(洞察生成)** | 生成结构化电商报告:利润、物流、竞争、需求四维评分 |
+| **Supervisor(调度员)** | 自动分析问题特征,选择最佳检索策略 |
+| **Comment Analyzer(评论分析)** | 解析 YAML 格式的评论数据 |
+| **Demand Aggregator(需求聚合)** | 聚类痛点、计算热度评分 |
+| **Insight Generator(洞察生成)** | 生成结构化电商报告 + 流式输出 |
-**自纠错循环**:检索结果不相关 → 自动重写查询 → 重新检索(最多重试 2 次)。
+### ⚡ SSE 流式输出
+- `/api/qa/stream`:逐 token 打字机效果
+- `/api/insight/stream`:逐阶段(检索→分析→聚合→生成)实时反馈
+- 前端 `EventSource` 原生消费,零依赖
### 📐 RAGAS 质量评估
-自动化管道评估,四项指标:
-- **上下文精度**:检索到的文档是否与问题相关
-- **上下文召回率**:相关文档是否被检索到
-- **忠实度**:生成的答案是否基于检索到的上下文
-- **答案相关性**:答案是否真正回答了问题
+四项指标:上下文精度、召回率、忠实度、答案相关性
### 🔥 按需数据抓取
-当知识库没有某个品类时:
-1. 自动调用 DrissionPage 真实爬虫打开 Chrome 浏览器
-2. 搜索小红书关键词,滚动加载笔记卡片
-3. 逐篇进入详情页,提取正文、点赞、作者
-4. 抓取评论区,关键词分析投诉和购买意向
-5. 写入 `data/raw/`,增量入库到 ChromaDB + BM25
-6. 重新运行洞察管道,生成报告
-
-### 📥 真实数据导入
-```bash
-uv run python import_data.py --input my_data.csv # CSV 导入
-uv run python import_data.py --input my_data.xlsx # Excel 导入
-uv run python import_data.py --input my_data.csv --enrich # LLM 自动丰富评论分析
-```
+知识库缺失时自动调用爬虫 → 增量入库 → 重新检索
+
+### 🛡️ 生产级基础设施
+- **Docker + docker-compose**:一键部署(API + PostgreSQL + Redis)
+- **GitHub Actions CI**:lint → test → build 自动化
+- **RequestID 中间件**:每个请求 UUID 追踪
+- **全局异常处理**:统一 JSON 错误格式
+- **限流保护**(slowapi):可配置 QPS
+- **LangFuse 可观测性**:LLM 调用链 Trace
+- **Prompt YAML 管理**:版本控制 + 热重载
---
## ⚡ 快速开始
### 你需要什么
-- **Python 3.10+**
-- **SiliconFlow API Key**([免费注册](https://siliconflow.cn),新用户有额度)— 或其他兼容 OpenAI 格式的 API
+- **Python 3.11+**
+- **SiliconFlow API Key**([免费注册](https://siliconflow.cn))
- **[uv](https://docs.astral.sh/uv/)** 包管理器
### 三步跑起来
@@ -196,37 +208,79 @@ cp .env.example .env
# 3. 安装依赖 + 生成演示数据 + 启动
uv sync
uv run python generate_data.py
-uv run uvicorn api:app --reload --port 8000
+uv run uvicorn src.api.main:app --reload --port 8000
```
-浏览器打开 **http://localhost:8000**,就能用了。
+浏览器打开 **http://localhost:8000**。
+
+---
+
+## 🐳 Docker 部署
+
+```bash
+# 1. 配置环境变量
+cp .env.example .env
+vim .env # 填入 OPENAI_API_KEY
+
+# 2. 一键启动(含 API + PostgreSQL + Redis)
+docker-compose up -d
+
+# 3. 查看日志
+docker-compose logs -f api
+
+# 4. 验证
+curl http://localhost:8000/api/health
+
+# 5. 停止
+docker-compose down
+```
-> 💡 **一键启动**:Windows 双击 `run.bat`,Mac/Linux 运行 `bash run.sh`。
+**服务端口:**
+| 服务 | 端口 | 说明 |
+|------|:----:|------|
+| API | 8000 | FastAPI 应用 |
+| PostgreSQL | 5432 | 向量数据库 |
+| Redis | 6379 | 缓存/限流 |
---
## 📊 RAGAS 质量评估
-随时检查管道的检索和生成质量:
-
```bash
curl -X POST http://localhost:8000/api/evaluate \
-H "Content-Type: application/json" \
-d '{"categories": ["磁吸感应灯", "桌面收纳", "健身"]}'
```
-返回结果:
-```json
-{
- "overall_score": 78.5,
- "grade": "A",
- "ragas_scores": {
- "context_precision": 82.3,
- "context_recall": 75.1,
- "faithfulness": 80.2,
- "answer_relevancy": 76.4
- }
-}
+---
+
+## 🔌 API 文档
+
+启动后访问:**http://localhost:8000/docs**(Swagger UI)
+
+| 端点 | 方法 | 说明 |
+|------|:----:|------|
+| `/api/health` | GET | 健康检查 |
+| `/api/stats` | GET | 知识库统计 |
+| `/api/qa` | POST | 智能问答 |
+| `/api/qa/stream` | POST | 流式问答 (SSE) |
+| `/api/insight` | POST | 选品洞察 |
+| `/api/insight/stream` | POST | 流式洞察 (SSE) |
+| `/api/crawl` | POST | 触发数据抓取 |
+| `/api/evaluate` | POST | RAGAS 评估 |
+
+### 流式端点示例
+
+```bash
+# QA 流式(逐 token 打字机效果)
+curl -N -X POST http://localhost:8000/api/qa/stream \
+ -H "Content-Type: application/json" \
+ -d '{"question":"磁吸感应灯哪个品牌好"}'
+
+# Insight 流式(逐阶段 + 逐 token)
+curl -N -X POST http://localhost:8000/api/insight/stream \
+ -H "Content-Type: application/json" \
+ -d '{"category":"磁吸感应灯"}'
```
---
@@ -235,18 +289,21 @@ curl -X POST http://localhost:8000/api/evaluate \
| 组件 | 选型 | 为什么 |
|------|------|--------|
-| 🧠 **大模型** | DeepSeek-V4-Flash | 性价比最高,中文能力强,单次调用约 ¥0.002 |
-| 🔤 **向量模型** | BAAI/bge-m3 | 多语言 SOTA,中文语义捕捉出色 |
-| 📏 **重排序** | BAAI/bge-reranker-v2-m3 | CrossEncoder 打分,比 LLM-Judge 快 10 倍 |
-| 🗄️ **向量库** | ChromaDB(嵌入式) | 零配置,不需要独立数据库服务 |
-| 🔗 **编排框架** | LangGraph | 有向图多 Agent 编排,支持循环路由 |
-| 🔍 **关键词检索** | BM25 + jieba | 经典 IR 算法,与向量检索互补 |
-| 🖥️ **后端** | FastAPI | 异步 Python 框架,自动生成 API 文档 |
-| 🎨 **前端** | 原生 JS 单页应用 | 零 npm 依赖,由 FastAPI 直接托管 |
-| 📊 **评估** | RAGAS | 业界标准 RAG 质量评估框架 |
-| 🚀 **部署** | Streamlit Cloud | 免费部署,一键上线 |
-
-**核心设计原则:零外部依赖。** 不需要 Docker、PostgreSQL、Redis——一个 Python 进程跑全部。
+| 🧠 **大模型** | DeepSeek-V4-Flash | 性价比最高,中文能力强 |
+| 🔤 **向量模型** | BAAI/bge-m3 | 多语言 SOTA |
+| 📏 **重排序** | BAAI/bge-reranker-v2-m3 | CrossEncoder 打分 |
+| 🗄️ **向量库** | ChromaDB / PG+pgvector | 支持嵌入式 + 生产级双模式 |
+| 🔗 **编排框架** | LangGraph | 多 Agent 编排 + 流式 |
+| 🔍 **关键词检索** | BM25 + jieba | 经典 IR 算法 |
+| 🖥️ **后端** | FastAPI | 异步 + 自动 API 文档 |
+| 🌊 **流式** | SSE (Server-Sent Events) | 原生支持,零依赖 |
+| 🎨 **前端** | 原生 JS + SSE | 零 npm 依赖 |
+| 📊 **评估** | RAGAS | 业界标准 |
+| 🐳 **部署** | Docker + docker-compose | 一键部署 |
+| 🔄 **CI** | GitHub Actions | lint → test → build |
+| 📈 **可观测** | structlog + LangFuse | 结构化日志 + LLM Trace |
+| 📝 **Prompt 管理** | YAML + PromptLoader | 版本控制 + 热重载 |
+| 🛡️ **限流** | slowapi | 可配置 QPS |
---
@@ -254,37 +311,63 @@ curl -X POST http://localhost:8000/api/evaluate \
```
RedNote-Insight/
-├── api.py # 🖥️ FastAPI 后端(REST API + 前端托管)
-├── app.py # 📱 Streamlit 界面(快速本地测试)
-├── generate_data.py # 📝 演示数据生成器
-├── import_data.py # 📥 CSV/Excel 真实数据导入
-├── pyproject.toml # ⚙️ 依赖与项目配置
-├── .env.example # 🔑 环境变量模板
-├── run.bat / run.sh # 🚀 一键启动脚本
-│
├── src/
-│ ├── config.py # 统一配置(LLM / Embedding / Reranker)
-│ ├── evaluation.py # 📐 RAGAS 评估模块
-│ ├── crawler.py # 🕷️ 爬虫接口(Phase 2:接入真实数据)
-│ ├── ingestion.py # 文档加载 + 向量库构建 + 增量入库
-│ ├── retrievers.py # HybridRetriever(向量+BM25+RRF)+ 重排序
-│ ├── rag_pipeline.py # 基础 RAG 问答管道
-│ ├── graph.py # LangGraph 图编排(自纠错循环)
-│ ├── mcp_tools.py # MCP 服务(支持 AI Agent 调用)
-│ └── agents/
-│ ├── supervisor.py # 策略路由(自动/向量/关键词/混合)
-│ ├── comment_agent.py # 评论分析(YAML 结构化评论)
-│ ├── demand_agent.py # 需求聚合(聚类 + 打分)
-│ └── insight_agent.py # 选品洞察(LLM 报告 + 模板兜底)
-│
-├── static/ # 🎨 前端单页应用
+│ ├── api/
+│ │ ├── main.py # FastAPI 应用组装 + 中间件
+│ │ ├── dependencies.py # FastAPI Depends 依赖注入
+│ │ └── routes/
+│ │ ├── health.py # GET /api/health, /api/stats
+│ │ ├── qa.py # POST /api/qa
+│ │ ├── qa_stream.py # POST /api/qa/stream (SSE)
+│ │ ├── insight.py # POST /api/insight
+│ │ ├── insight_stream.py # POST /api/insight/stream (SSE)
+│ │ ├── crawl.py # POST /api/crawl
+│ │ └── evaluate.py # POST /api/evaluate
+│ ├── core/
+│ │ ├── state.py # AppState 依赖注入容器
+│ │ ├── observability.py # LangFuse 集成
+│ │ ├── prompt_loader.py # Prompt YAML 加载器
+│ │ └── __init__.py
+│ ├── agents/
+│ │ ├── supervisor.py # 策略路由
+│ │ ├── comment_agent.py # 评论分析
+│ │ ├── demand_agent.py # 需求聚合
+│ │ └── insight_agent.py # 洞察生成
+│ ├── prompts/ # 📝 Prompt YAML 文件
+│ │ ├── gen_answer_v1.yaml
+│ │ ├── rewrite_query_v1.yaml
+│ │ ├── supervisor_v1.yaml
+│ │ └── insight_report_v2.yaml
+│ ├── graph.py # LangGraph 图编排
+│ ├── retrievers.py # 混合检索 + 重排序
+│ ├── ingestion.py # 文档加载 + 向量库
+│ ├── evaluation.py # RAGAS 评估
+│ ├── crawler.py # 爬虫接口
+│ ├── config.py # pydantic-settings 配置
+│ └── logger.py # structlog 日志
+├── static/
│ ├── index.html
│ ├── css/style.css
-│ └── js/app.js
-│
-└── data/
- ├── raw/ # 📂 笔记原始数据(.md + YAML + 评论分析)
- └── chroma_db/ # 🔇 向量数据库(自动构建,不入 git)
+│ └── js/app.js # SSE 流式前端
+├── tests/
+│ ├── test_demand_agent.py
+│ ├── test_api/ # API 集成测试
+│ │ ├── test_health.py
+│ │ ├── test_qa.py
+│ │ └── test_insight.py
+│ └── test_agents/ # Agent 单元测试
+│ ├── test_supervisor.py
+│ └── test_insight_agent.py
+├── data/
+│ ├── raw/ # 笔记原始数据
+│ └── chroma_db/ # 向量数据库
+├── Dockerfile # 多阶段构建
+├── docker-compose.yml # API + PG + Redis
+├── .github/workflows/ci.yml # CI/CD
+├── .env.example
+├── .dockerignore
+├── pyproject.toml
+└── README.md
```
---
@@ -293,10 +376,11 @@ RedNote-Insight/
| 阶段 | 内容 | 状态 |
|------|------|:----:|
-| **Phase 1** | RAG 管道 + LangGraph 多 Agent + FastAPI + RAGAS 评估 | ✅ 已完成 |
-| **Phase 2** | 真实小红书爬虫(DrissionPage)— 实时抓取笔记和评论 | ✅ 已完成 |
-| **Phase 3** | 图片/视频内容分析 + 趋势预测 | 📋 计划中 |
-| **Phase 4** | 微信小程序 + 用户系统 + SaaS 商业化 | 📋 计划中 |
+| **Phase 1** | RAG 管道 + LangGraph 多 Agent + FastAPI + RAGAS | ✅ |
+| **Phase 2** | 真实小红书爬虫 + 异步全链路 + 依赖注入 | ✅ |
+| **Phase 3** | SSE 流式 + LangFuse + Prompt YAML + 限流 | ✅ |
+| **Phase 4** | PostgreSQL + pgvector 迁移 | 📋 |
+| **Phase 5** | 图片/视频内容分析 + 微信小程序 | 📋 |
---
diff --git a/data/chroma_db/9650ba44-355b-43d2-bf46-374351a47dab/data_level0.bin b/data/chroma_db/9650ba44-355b-43d2-bf46-374351a47dab/data_level0.bin
index 0cd64add83f9a944b4e505ca02ee439b13c3ab44..e783ac7d2aea929d97f01646158d76cf437ce722 100644
GIT binary patch
delta 249
zcmdn+R&v8zNxlHaDK8H*GB7A8B%C?SxKZ%A>P7`-1!EQl28K2vQ-%)=5NQ~lz~Bs2
a#=roh85GLFe1;1rAbM{A^$%uzPXPe`+-6q*
delta 173
zcmdn+R&v8zNxlHavs0Xz7#IWuBF$ZxHVVE{HD+O8U=WsYXZXMXk-9KH%+Lj>B!NK{
bs02YX1Z0Ex3=6hx6nyTwQQ-!SFdr8H*gQXx
diff --git a/data/chroma_db/9650ba44-355b-43d2-bf46-374351a47dab/length.bin b/data/chroma_db/9650ba44-355b-43d2-bf46-374351a47dab/length.bin
index 0f9172222b243a78c049a0143cab349d26ea9020..cb3e1628bcb246bfc7b4a4b378b1586758115f3d 100644
GIT binary patch
literal 400
NcmZQz7zKkV1ONe$00961
literal 400
zcmb1UWB`Kzn=nHcCI$v(2$uoK1OuovL-TuwQ_SX$Gd1{2`BrY=_zP3;6RJ)HN-JbR
z%z^P4SRfJ&7cI;|=EL|bP=hy^dcAW7io^H@j`-ctg2NrZ(A@DM4ZAxQd_;A}d#Jt-
j|JE3Q+y~=daKi77Rvhm5jphym9PT(EXo(UYkD&Sh!<;X0
diff --git a/data/chroma_db/chroma.sqlite3 b/data/chroma_db/chroma.sqlite3
index deac24b825888215c2b1768bb09c72eef9c3560f..35d17820fe8e295eb90e908e823ef19be0ff8c52 100644
GIT binary patch
delta 414
zcmWm9w>E8oC6-y?|9zD;*2%EJCR=Q?!!CR5bHE`-9FygQQ_eW&f=jNr
K{?4aw?z4X!#+wQN
delta 399
zcmWm9H#&m>002;l=p{nbL@!Z7^iB}HMrSh^4UUlSGgz4{|6p(dpTX)h&fyu}0bb$#
zH(cN)5lX)%bD{L--A5)8j|N3=)j#1>DENv!K182_>~oL}5vG_3C6rP|ITch=MKv|l
z5~Yq9^)wKtktUjHp_MigBx$FEPP*u(hhF;VXMhxg3^B|IX+{|%!#ER6GQ~7A%reJ3
y3oNq4GApd|e_vyr4RUO<#Wp+avd2CL9CE}lC*(QhjB_ry=0.32.0",
"drissionpage>=4.1.1.4",
"httpx>=0.28.1",
+ "pydantic-settings>=2.14.1",
+ "structlog>=26.1.0",
+ "slowapi>=0.1.9",
+ "langfuse>=2.0.0",
+ "asyncpg>=0.30.0",
+ "sqlalchemy[asyncio]>=2.0",
+ "alembic>=1.14",
]
[tool.ruff]
diff --git a/src/agents/insight_agent.py b/src/agents/insight_agent.py
index aa09775..331c638 100644
--- a/src/agents/insight_agent.py
+++ b/src/agents/insight_agent.py
@@ -6,6 +6,7 @@
from langchain_core.prompts import ChatPromptTemplate
from langchain_openai import ChatOpenAI
from src.config import LLM_CONFIG
+from src.core.prompt_loader import get_prompt_loader
class InsightGenerator:
@@ -13,65 +14,11 @@ class InsightGenerator:
def __init__(self, llm=None):
self.llm = llm or ChatOpenAI(**LLM_CONFIG)
- self._build_prompts()
-
- def _build_prompts(self):
- """构建电商选品洞察报告 prompt(v2 升级版)"""
- self.report_prompt = ChatPromptTemplate.from_messages([
- (
- "system",
- "你是小红书电商选品分析专家,同时也是有5年经验的电商小商家。"
- "根据用户提供的评论区数据和电商指标,生成一份专业的**电商选品市场洞察报告**。\n\n"
- "报告要求:\n"
- "1. 以电商小商家的视角来分析,关注**可执行性**和**利润**\n"
- "2. 每条洞察都要有数据支撑(频次、利润率、评分等)\n"
- "3. 选品建议要具体:价格带 + 功能点 + 目标人群 + 预估利润\n"
- "4. 指出竞争空白(用户想要但没有被满足的)和差异化机会\n"
- "5. 评估物流友好度和售后风险\n"
- "6. 数据量充足,尽量覆盖更多用户反馈\n\n"
- "报告格式(严格按以下结构输出):\n"
- "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n"
- "【市场概况】品类热度、分析笔记数、季节特性(常青/季节性)\n"
- "【利润空间评估】平均售价/成本、定价倍率、预估利润率、是否达到3-5倍选品标准\n"
- "【物流友好度】平均重量、破损风险、运费预估、仓储难度\n"
- "【竞争格局】主要品牌、品牌集中度、新卖家进入难度\n"
- "【用户痛点 TOP 5】列出最集中的投诉问题(至少5条,覆盖面要广)\n"
- "【需求信号】用户正在搜索/求购的方向(至少5条)\n"
- "【差异化机会】基于差评的升级方向:材质/功能/组合/场景/颜色等\n"
- "【选品综合评分】利润/物流/竞争/需求四维雷达评分 + 总分\n"
- "【选品建议】4-5条具体可执行方向,含价格带+功能点+目标人群+预估利润\n"
- "【避坑提醒】该品类的潜在风险(退货率、售后、侵权、季节性等)\n"
- "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n"
- "最后加一句总结性的一句话点评。"
- ),
- (
- "human",
- "品类:{category}\n\n"
- "===== 数据概览 =====\n"
- "分析笔记数:{note_count} 篇\n"
- "平均点赞:{avg_likes} | 总求链接:{total_ask_link}\n"
- "常青款占比:{evergreen_ratio}%\n\n"
- "===== 电商指标 =====\n"
- "平均售价:¥{avg_price} | 平均成本:¥{avg_cost}\n"
- "定价倍率(售价/成本):{price_cost_ratio}x\n"
- "平均利润率:{profit_margin}%\n"
- "平均重量:{avg_weight}kg\n\n"
- "===== 选品评分 =====\n"
- "利润评分:{profit_score}/100\n"
- "物流评分:{logistics_score}/100\n"
- "竞争评分:{competition_score}/100\n"
- "需求热度:{demand_score}/100\n"
- "选品综合评分:{selection_score}/100\n\n"
- "===== 用户反馈 =====\n"
- "用户投诉(按频次排序):\n{complaints}\n\n"
- "用户需求信号(按频次排序):\n{intents}\n\n"
- "品牌对比提及:\n{comparisons}\n\n"
- "涉及品牌:{brands}\n\n"
- "差异化方向参考:{differentiations}\n"
- "预估月销量参考:{monthly_sales} 件\n\n"
- "请输出电商选品洞察报告:",
- ),
- ])
+ self.prompt_loader = get_prompt_loader()
+
+ def _get_prompt(self):
+ """获取报告 Prompt(从 YAML 加载,v2)"""
+ return self.prompt_loader.load("insight_report", "v2")
def generate(self, aggregated: dict, category: str = "") -> str:
"""
@@ -100,7 +47,7 @@ def generate(self, aggregated: dict, category: str = "") -> str:
differentiations_str = ", ".join(aggregated.get("differentiation_directions", [])) or "暂无"
- msg = self.report_prompt.format_messages(
+ msg = self._get_prompt().format_messages(
category=category or "未分类",
note_count=aggregated["note_count"],
avg_likes=aggregated["avg_likes"],
@@ -149,7 +96,7 @@ async def agenerate(self, aggregated: dict, category: str = "") -> str:
brands_str = ", ".join(aggregated["related_brands"]) or "暂无"
differentiations_str = ", ".join(aggregated.get("differentiation_directions", [])) or "暂无"
- msg = self.report_prompt.format_messages(
+ msg = self._get_prompt().format_messages(
category=category or "未分类",
note_count=aggregated["note_count"],
avg_likes=aggregated["avg_likes"],
@@ -176,6 +123,62 @@ async def agenerate(self, aggregated: dict, category: str = "") -> str:
response = await self.llm.ainvoke(msg)
return response.content.strip()
+ async def astream(self, aggregated: dict, category: str = ""):
+ """异步流式版本:逐 token 生成洞察报告。
+ 用法:
+ async for chunk in generator.astream(data, category):
+ print(chunk, end="")
+ """
+ if aggregated["note_count"] == 0:
+ yield "没有足够的评论数据生成洞察报告。"
+ return
+
+ # 格式化评论数据(复用 generate 的逻辑)
+ complaints_str = "\n".join(
+ f" {i+1}. 「{c}」出现 {f} 次"
+ for i, (c, f) in enumerate(aggregated["top_complaints"][:10])
+ ) or " 暂无"
+
+ intents_str = "\n".join(
+ f" {i+1}. 「{t}」出现 {f} 次"
+ for i, (t, f) in enumerate(aggregated["top_purchase_intents"][:10])
+ ) or " 暂无"
+
+ comparisons_str = "\n".join(
+ f" - {c}" for c in aggregated["comparison_patterns"][:10]
+ ) or " 暂无"
+
+ brands_str = ", ".join(aggregated["related_brands"]) or "暂无"
+ differentiations_str = ", ".join(aggregated.get("differentiation_directions", [])) or "暂无"
+
+ msg = self._get_prompt().format_messages(
+ category=category or "未分类",
+ note_count=aggregated["note_count"],
+ avg_likes=aggregated["avg_likes"],
+ total_ask_link=aggregated["total_ask_link"],
+ evergreen_ratio=int(aggregated.get("evergreen_ratio", 0.8) * 100),
+ avg_price=aggregated.get("avg_price", 0),
+ avg_cost=aggregated.get("avg_cost", 0),
+ price_cost_ratio=aggregated.get("price_cost_ratio", 3),
+ profit_margin=int(aggregated.get("avg_profit_margin", 0.6) * 100),
+ avg_weight=aggregated.get("avg_weight", 0.3),
+ profit_score=aggregated.get("profit_score", 0),
+ logistics_score=aggregated.get("logistics_score", 0),
+ competition_score=aggregated.get("competition_score", 0),
+ demand_score=aggregated.get("demand_score", 0),
+ selection_score=aggregated.get("selection_score", 0),
+ complaints=complaints_str,
+ intents=intents_str,
+ comparisons=comparisons_str,
+ brands=brands_str,
+ differentiations=differentiations_str,
+ monthly_sales=aggregated.get("estimated_monthly_sales", 0),
+ )
+
+ async for chunk in self.llm.astream(msg):
+ if chunk.content:
+ yield chunk.content
+
def generate_stream(self, aggregated: dict, category: str = "") -> str:
"""
流式版本:逐 token 生成洞察报告。
@@ -199,7 +202,7 @@ def generate_stream(self, aggregated: dict, category: str = "") -> str:
for i, (t, f) in enumerate(aggregated["top_purchase_intents"][:10])
) or " 暂无"
- msg = self.report_prompt.format_messages(
+ msg = self._get_prompt().format_messages(
category=category or "未分类",
note_count=aggregated["note_count"],
avg_likes=aggregated["avg_likes"],
diff --git a/src/agents/supervisor.py b/src/agents/supervisor.py
index 98cbc7c..9c0d3cd 100644
--- a/src/agents/supervisor.py
+++ b/src/agents/supervisor.py
@@ -8,6 +8,7 @@
from src.config import LLM_CONFIG
from src.logger import logger
+from src.core.prompt_loader import get_prompt_loader
class Supervisor:
@@ -15,18 +16,16 @@ class Supervisor:
def __init__(self, llm=None):
self.llm = llm or ChatOpenAI(**LLM_CONFIG)
- self.prompt = ChatPromptTemplate.from_messages([
- ("system", "分析问题特征,选择最佳检索策略:\n"
- "- vector:概念性、描述性问题\n"
- "- keyword:专有名词、缩写、代码\n"
- "- hybrid:通用场景\n"
- "只输出策略名,不要其他内容。"),
- ("human", "{question}"),
- ])
+ self.prompt_loader = get_prompt_loader()
+
+ def _get_prompt(self):
+ """获取 Supervisor prompt(从 YAML 加载)"""
+ return self.prompt_loader.load("supervisor", "v1")
def decide(self, question: str, available_strategies: list[str]) -> str:
"""返回选中的策略名(同步版本)"""
- msg = self.prompt.format_messages(question=question)
+ prompt = self._get_prompt()
+ msg = prompt.format_messages(question=question)
strategy = self.llm.invoke(msg).content.strip().lower()
if strategy not in available_strategies:
strategy = "hybrid"
@@ -35,7 +34,8 @@ def decide(self, question: str, available_strategies: list[str]) -> str:
async def adecide(self, question: str, available_strategies: list[str]) -> str:
"""返回选中的策略名(异步版本)"""
- msg = self.prompt.format_messages(question=question)
+ prompt = self._get_prompt()
+ msg = prompt.format_messages(question=question)
response = await self.llm.ainvoke(msg)
strategy = response.content.strip().lower()
if strategy not in available_strategies:
diff --git a/src/api/dependencies.py b/src/api/dependencies.py
index 663ed8f..4a3696d 100644
--- a/src/api/dependencies.py
+++ b/src/api/dependencies.py
@@ -19,3 +19,4 @@ async def get_app_state(request: Request) -> AppState:
async def get_app_state_or_none(request: Request) -> AppState:
"""不抛 503 的版本,供内部调用方自行处理"""
return request.app.state.app_state
+
diff --git a/src/api/main.py b/src/api/main.py
index 7802c83..95601ad 100644
--- a/src/api/main.py
+++ b/src/api/main.py
@@ -1,38 +1,96 @@
"""
main.py — FastAPI 应用组装
============================
-将各路由模块注册到 app,配置生命周期和静态文件托管。
+将各路由模块注册到 app,配置生命周期、中间件和静态文件托管。
启动: uv run uvicorn src.api.main:app --port 8000
"""
import sys
import os
+import uuid
+import traceback
from pathlib import Path
from contextlib import asynccontextmanager
-from fastapi import FastAPI
+import structlog
+from fastapi import FastAPI, Request
from fastapi.staticfiles import StaticFiles
-from fastapi.responses import FileResponse
+from fastapi.responses import FileResponse, JSONResponse
+from fastapi.middleware.cors import CORSMiddleware
+from starlette.middleware.base import BaseHTTPMiddleware
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))
+from src.config import settings
from src.core.state import init_app_state
-from src.api.routes import health, qa, insight, evaluate, crawl
+from src.api.routes import health, qa, insight, evaluate, crawl, qa_stream, insight_stream
+# ===== 中间件 =====
+
+class RequestIDMiddleware(BaseHTTPMiddleware):
+ """为每个请求注入 X-Request-ID,绑定到 structlog"""
+
+ async def dispatch(self, request: Request, call_next):
+ request_id = request.headers.get("X-Request-ID", str(uuid.uuid4()))
+ structlog.contextvars.bind_contextvars(request_id=request_id)
+ response = await call_next(request)
+ response.headers["X-Request-ID"] = request_id
+ structlog.contextvars.clear_contextvars()
+ return response
+
+
+async def global_exception_handler(request: Request, exc: Exception):
+ """全局异常处理器:统一返回 JSON 格式"""
+ from starlette.exceptions import HTTPException as StarletteException
+
+ if isinstance(exc, StarletteException):
+ status_code = exc.status_code
+ detail = str(exc.detail)
+ else:
+ status_code = 500
+ detail = "Internal Server Error"
+ if settings.log_format == "console":
+ traceback.print_exc()
+
+ logger = structlog.get_logger()
+ logger.error(
+ "unhandled_exception",
+ status_code=status_code,
+ error_type=type(exc).__name__,
+ error_message=str(exc),
+ path=request.url.path,
+ )
+
+ return JSONResponse(
+ status_code=status_code,
+ content={
+ "error": True,
+ "message": detail,
+ "type": type(exc).__name__,
+ "request_id": request.headers.get("X-Request-ID", ""),
+ },
+ )
+
+
+# ===== 生命周期 =====
+
@asynccontextmanager
async def lifespan(app: FastAPI):
"""应用启动时初始化 AppState,关闭时清理"""
- print("[API] Initializing runtime...")
+ logger = structlog.get_logger()
+ logger.info("initializing_runtime")
app.state.app_state = await init_app_state()
state = app.state.app_state
if state.error:
- print(f"[API] WARNING: {state.error}")
+ logger.warning("runtime_warning", error=state.error)
else:
- print(f"[API] READY — {state.stats['total_chunks']} chunks")
+ logger.info("runtime_ready", chunks=state.stats["total_chunks"])
yield
- print("[API] Shutting down")
+ logger.info("shutting_down")
+
+# ===== 应用实例 =====
app = FastAPI(
title="小红书爆款雷达 API",
@@ -41,14 +99,43 @@ async def lifespan(app: FastAPI):
lifespan=lifespan,
)
-# 注册路由
+# ---- 注册限流(可选,需 slowapi)----
+if settings.rate_limit_enabled:
+ try:
+ from slowapi import Limiter, _rate_limit_exceeded_handler
+ from slowapi.util import get_remote_address
+ from slowapi.errors import RateLimitExceeded
+
+ limiter = Limiter(key_func=get_remote_address, default_limits=["200/minute"])
+ app.state.limiter = limiter
+ app.add_exception_handler(RateLimitExceeded, _rate_limit_exceeded_handler)
+ import structlog
+ structlog.get_logger().info("rate_limit_enabled")
+ except ImportError:
+ import structlog
+ structlog.get_logger().warning("rate_limit_skipped", reason="slowapi_not_installed")
+
+# ---- 注册中间件(顺序重要)----
+app.add_middleware(RequestIDMiddleware)
+app.add_middleware(
+ CORSMiddleware,
+ allow_origins=settings.cors_origins,
+ allow_credentials=True,
+ allow_methods=["*"],
+ allow_headers=["*"],
+)
+app.add_exception_handler(Exception, global_exception_handler)
+
+# ---- 注册路由 ----
app.include_router(health.router)
app.include_router(qa.router)
app.include_router(insight.router)
+app.include_router(qa_stream.router)
+app.include_router(insight_stream.router)
app.include_router(evaluate.router)
app.include_router(crawl.router)
-# 静态文件托管
+# ---- 静态文件托管 ----
static_dir = Path(__file__).parent.parent.parent / "static"
diff --git a/src/api/routes/crawl.py b/src/api/routes/crawl.py
index 308e050..386ac70 100644
--- a/src/api/routes/crawl.py
+++ b/src/api/routes/crawl.py
@@ -9,8 +9,6 @@
from src.core.state import AppState
router = APIRouter(tags=["crawl"])
-
-
class CrawlRequest(BaseModel):
category: str
count: int = 20
diff --git a/src/api/routes/insight_stream.py b/src/api/routes/insight_stream.py
new file mode 100644
index 0000000..5b52e34
--- /dev/null
+++ b/src/api/routes/insight_stream.py
@@ -0,0 +1,195 @@
+"""
+insight_stream.py — 选品洞察 SSE 流式端点
+=============================================
+POST /api/insight/stream — 逐阶段 + 逐 token 输出洞察报告
+
+用法:
+ curl -N -X POST http://localhost:8000/api/insight/stream \
+ -H "Content-Type: application/json" \
+ -d '{"category":"磁吸感应灯"}'
+"""
+
+import json
+import time
+import asyncio
+from fastapi import APIRouter, Depends
+from fastapi.responses import StreamingResponse
+from pydantic import BaseModel
+
+from src.api.dependencies import get_app_state
+from src.core.state import AppState
+from src.config import RERANKER_THRESHOLD
+from src.logger import logger
+
+router = APIRouter(tags=["insight-stream"])
+
+
+class InsightStreamRequest(BaseModel):
+ category: str
+
+
+def _sse_event(event: str, data: dict | str) -> str:
+ payload = json.dumps(data, ensure_ascii=False) if isinstance(data, dict) else data
+ return f"event: {event}\ndata: {payload}\n\n"
+
+
+@router.post("/api/insight/stream")
+async def run_insight_stream(req: InsightStreamRequest, state: AppState = Depends(get_app_state)):
+ """SSE 流式选品洞察报告"""
+
+ async def event_stream():
+ t0 = time.time()
+ category = req.category
+
+ try:
+ # ── 阶段 1: 检索 ──
+ yield _sse_event("stage", {"stage": "retrieve", "message": f"正在检索「{category}」相关笔记..."})
+ await asyncio.sleep(0)
+
+ from src.agents.comment_agent import CommentAnalyzer
+ from src.agents.demand_agent import DemandAggregator
+ from src.agents.insight_agent import InsightGenerator
+ from src.crawler import CrawlerInterface
+
+ MIN_NOTES = 10
+ CRAWL_COUNT = 30
+
+ docs = await state.hybrid_retriever.ahybrid_search(
+ category, k=MIN_NOTES, bm25_k=40, final_k=MIN_NOTES
+ )
+
+ if docs:
+ scores = await state.reranker.arerank(category, docs)
+ relevant = [doc for doc, s in zip(docs, scores) if s >= RERANKER_THRESHOLD]
+ else:
+ relevant = []
+
+ yield _sse_event("stage", {
+ "stage": "retrieved",
+ "message": f"检索到 {len(relevant)} 篇相关笔记",
+ "note_count": len(relevant),
+ })
+ await asyncio.sleep(0)
+
+ # ── 阶段 2: 评论分析 ──
+ yield _sse_event("stage", {"stage": "analyze", "message": "正在分析评论区数据..."})
+ await asyncio.sleep(0)
+
+ if len(relevant) >= 3:
+ analyzer = CommentAnalyzer(raw_dir=state.raw_dir)
+ analyses = analyzer.analyze(relevant)
+
+ if not analyses:
+ yield _sse_event("error", {"message": "没有找到评论分析数据"})
+ return
+
+ yield _sse_event("stage", {
+ "stage": "analyzed",
+ "message": f"分析了 {len(analyses)} 条评论",
+ })
+ await asyncio.sleep(0)
+
+ # ── 阶段 3: 需求聚合 ──
+ yield _sse_event("stage", {"stage": "aggregate", "message": "正在聚合需求信号..."})
+ await asyncio.sleep(0)
+
+ aggregator = DemandAggregator()
+ aggregated = aggregator.aggregate(analyses)
+
+ yield _sse_event("stage", {
+ "stage": "aggregated",
+ "message": f"识别到 {len(aggregated.get('top_complaints', []))} 个痛点",
+ })
+ await asyncio.sleep(0)
+
+ # ── 阶段 4: 生成报告(逐 token 流式)──
+ yield _sse_event("stage", {"stage": "generate", "message": "正在生成选品洞察报告..."})
+
+ generator = InsightGenerator()
+ try:
+ async for chunk in generator.astream(aggregated, category=category):
+ if chunk:
+ yield _sse_event("token", {"token": chunk})
+ except Exception as e:
+ report = generator.generate_fallback(aggregated, category=category)
+ report += f"\n\n(注:LLM 生成失败,使用模板兜底。错误:{e})"
+ yield _sse_event("token", {"token": report})
+
+ yield _sse_event("stage", {"stage": "done_generate", "message": "报告生成完成"})
+
+ notes_count = len(relevant)
+
+ else:
+ # 需要爬虫
+ yield _sse_event("stage", {"stage": "crawl", "message": "知识库数据不足,正在从小红书实时抓取..."})
+ await asyncio.sleep(0)
+
+ crawler = CrawlerInterface(raw_dir=state.raw_dir)
+ if not crawler.is_available:
+ yield _sse_event("error", {
+ "message": f"知识库无「{category}」数据,且爬虫不可用。"
+ })
+ return
+
+ result = await asyncio.to_thread(crawler.crawl, category, CRAWL_COUNT)
+ crawled_count = result["count"]
+
+ if crawled_count == 0:
+ yield _sse_event("error", {"message": f"无法从小红书获取「{category}」的数据"})
+ return
+
+ yield _sse_event("stage", {
+ "stage": "crawled",
+ "message": f"已抓取 {crawled_count} 篇笔记",
+ "crawled_count": crawled_count,
+ })
+ await asyncio.sleep(0)
+
+ await state.rebuild_indexes()
+ await asyncio.sleep(0.5)
+
+ # 重新检索
+ fresh_docs = await state.hybrid_retriever.ahybrid_search(
+ category, k=MIN_NOTES, bm25_k=40, final_k=MIN_NOTES
+ )
+ fresh_scores = await state.reranker.arerank(category, fresh_docs) if fresh_docs else []
+ fresh_relevant = [doc for doc, s in zip(fresh_docs, fresh_scores) if s >= RERANKER_THRESHOLD]
+
+ if not fresh_relevant:
+ yield _sse_event("error", {
+ "message": f"已抓取 {crawled_count} 篇但检索未匹配"
+ })
+ return
+
+ analyzer = CommentAnalyzer(raw_dir=state.raw_dir)
+ analyses = analyzer.analyze(fresh_relevant)
+ aggregator = DemandAggregator()
+ aggregated = aggregator.aggregate(analyses)
+ generator = InsightGenerator()
+
+ async for chunk in generator.astream(aggregated, category=category):
+ if chunk:
+ yield _sse_event("token", {"token": chunk})
+
+ notes_count = len(fresh_relevant)
+
+ # ── 阶段 5: 完成 ──
+ elapsed = round(time.time() - t0, 2)
+ yield _sse_event("done", {
+ "elapsed": elapsed,
+ "note_count": notes_count,
+ })
+
+ except Exception as e:
+ logger.error(f"insight_stream_error: {e}")
+ yield _sse_event("error", {"message": str(e)})
+
+ return StreamingResponse(
+ event_stream(),
+ media_type="text/event-stream",
+ headers={
+ "Cache-Control": "no-cache",
+ "Connection": "keep-alive",
+ "X-Accel-Buffering": "no",
+ },
+ )
diff --git a/src/api/routes/qa_stream.py b/src/api/routes/qa_stream.py
new file mode 100644
index 0000000..d4f7dc9
--- /dev/null
+++ b/src/api/routes/qa_stream.py
@@ -0,0 +1,126 @@
+"""
+qa_stream.py — QA 流式 SSE 端点
+=================================
+POST /api/qa/stream — 逐 token / 逐阶段输出 QA 结果
+
+用法:
+ curl -N -X POST http://localhost:8000/api/qa/stream \
+ -H "Content-Type: application/json" \
+ -d '{"question":"磁吸感应灯哪个品牌好"}'
+"""
+
+import json
+import time
+import asyncio
+from fastapi import APIRouter, Depends, Request
+from fastapi.responses import StreamingResponse
+from pydantic import BaseModel
+
+from src.api.dependencies import get_app_state
+from src.core.state import AppState
+from src.config import LLM_CONFIG
+from langchain_openai import ChatOpenAI
+from src.logger import logger
+from src.core.prompt_loader import get_prompt_loader
+
+router = APIRouter(tags=["qa-stream"])
+
+
+class QAStreamRequest(BaseModel):
+ question: str
+ strategy: str = "hybrid"
+
+
+def _sse_event(event: str, data: dict | str) -> str:
+ """格式化为 SSE 事件"""
+ payload = json.dumps(data, ensure_ascii=False) if isinstance(data, dict) else data
+ return f"event: {event}\ndata: {payload}\n\n"
+
+
+@router.post("/api/qa/stream")
+async def run_qa_stream(req: QAStreamRequest, state: AppState = Depends(get_app_state)):
+ """SSE 流式 QA:逐阶段输出 + 最终逐 token 生成"""
+
+ async def event_stream():
+ t0 = time.time()
+ question = req.question
+ strategy = req.strategy
+
+ try:
+ # ── 阶段 1: 启动 ──
+ yield _sse_event("stage", {"stage": "start", "message": f"开始分析问题:{question[:50]}..."})
+ await asyncio.sleep(0)
+
+ # ── 阶段 2: Supervisor 路由 ──
+ yield _sse_event("stage", {"stage": "supervisor", "message": "正在分析问题类型..."})
+ await asyncio.sleep(0)
+
+ # ── 阶段 3: 检索 ──
+ yield _sse_event("stage", {"stage": "retrieve", "message": "正在检索相关文档..."})
+ await asyncio.sleep(0)
+
+ # 先跑 graph.ainvoke() 做检索和重排序
+ result = await state.graph.ainvoke({
+ "question": question,
+ "rewritten_question": "",
+ "strategy": strategy if strategy != "auto" else "",
+ "documents": [],
+ "relevant_docs": [],
+ "generation": "",
+ "retry_count": 0,
+ })
+
+ docs = result.get("relevant_docs") or result.get("documents", [])
+ yield _sse_event("stage", {
+ "stage": "retrieved",
+ "message": f"检索到 {len(docs)} 篇相关文档",
+ "doc_count": len(docs),
+ })
+ await asyncio.sleep(0)
+
+ # ── 阶段 4: 生成(逐 token 流式)──
+ yield _sse_event("stage", {"stage": "generate", "message": "正在生成回答..."})
+
+ # 构建 context
+ if docs:
+ context = "\n---\n".join(
+ f"[文档{i+1}] {d.page_content}" for i, d in enumerate(docs)
+ )
+ else:
+ context = "暂无相关文档"
+
+ # 使用 YAML Prompt 格式化消息
+ loader = get_prompt_loader()
+ gen_prompt = loader.load("gen_answer", "v1")
+ msg = gen_prompt.format_messages(context=context, question=question)
+
+ llm = ChatOpenAI(**LLM_CONFIG)
+ full_answer = ""
+
+ async for chunk in llm.astream(msg):
+ if chunk.content:
+ token = chunk.content
+ full_answer += token
+ yield _sse_event("token", {"token": token})
+
+ # ── 阶段 5: 完成 ──
+ elapsed = round(time.time() - t0, 2)
+ yield _sse_event("done", {
+ "answer": full_answer,
+ "elapsed": elapsed,
+ "doc_count": len(docs),
+ })
+
+ except Exception as e:
+ logger.error(f"stream_error: {e}")
+ yield _sse_event("error", {"message": str(e)})
+
+ return StreamingResponse(
+ event_stream(),
+ media_type="text/event-stream",
+ headers={
+ "Cache-Control": "no-cache",
+ "Connection": "keep-alive",
+ "X-Accel-Buffering": "no",
+ },
+ )
diff --git a/src/config.py b/src/config.py
index 9e09aab..ea5fc7a 100644
--- a/src/config.py
+++ b/src/config.py
@@ -1,67 +1,164 @@
+
"""
-config.py - 统一配置管理
-================================
-优先从 Streamlit Secrets 读取(部署环境),
-其次从 .env 文件读取(本地开发),
-最后使用默认值。
+src/config.py — 类型安全配置管理
+==================================
+基于 pydantic-settings,自动从 .env / 环境变量读取。
+IDE 自动补全,类型错误启动时报错而非运行时炸。
"""
import os
-from dotenv import load_dotenv
-
-# 1. 先尝试从 .env 文件加载(本地开发)
-load_dotenv()
-
-# 2. 如果运行在 Streamlit Cloud,从 st.secrets 覆盖(优先级更高)
-try:
- import streamlit as st
- if hasattr(st, "secrets"):
- for key in ["OPENAI_API_KEY", "OPENAI_BASE_URL",
- "LLM_MODEL", "EMBEDDING_MODEL", "RERANKER_MODEL"]:
- if key in st.secrets:
- os.environ[key] = st.secrets[key]
-except Exception:
- pass # 本地环境没有 streamlit 也没关系
-
-# 3. 严格模式:必须配置环境变量,不提供默认值,避免 API Key 泄露
-def _get(key: str) -> str:
- val = os.getenv(key)
- if not val:
- raise ValueError(
- f"❌ 缺少环境变量 {key}。\n"
- f" 请复制 .env.example 为 .env,填入你的 API Key。\n"
- f" Streamlit Cloud 用户在 Secrets 中配置。"
- )
- return val
-
-# ===== LLM 配置 =====
+from pydantic_settings import BaseSettings, SettingsConfigDict
+from pydantic import Field
+
+
+class Settings(BaseSettings):
+ """应用配置,自动读取 .env 文件"""
+
+ model_config = SettingsConfigDict(
+ env_file=".env",
+ env_file_encoding="utf-8",
+ case_sensitive=False,
+ )
+
+ # ===== LLM 配置 =====
+ llm_model: str = Field(
+ default="deepseek-ai/DeepSeek-V4-Flash",
+ description="LLM 模型名(OpenAI 兼容格式)",
+ )
+ llm_temperature: float = Field(
+ default=0.0,
+ ge=0.0, le=2.0,
+ description="生成温度(0=确定性,2=最随机)",
+ )
+ openai_api_key: str = Field(
+ ..., # ← 三个点 = 必填,没有就启动报错
+ alias="OPENAI_API_KEY",
+ description="API Key(SiliconFlow / DeepSeek / OpenAI)",
+ )
+ openai_base_url: str = Field(
+ default="https://api.siliconflow.cn/v1",
+ alias="OPENAI_BASE_URL",
+ description="API Base URL",
+ )
+
+ # ===== Embedding 配置 =====
+ embedding_model: str = Field(
+ default="BAAI/bge-m3",
+ alias="EMBEDDING_MODEL",
+ description="Embedding 模型名",
+ )
+
+ # ===== Reranker 配置 =====
+ reranker_model: str = Field(
+ default="BAAI/bge-reranker-v2-m3",
+ alias="RERANKER_MODEL",
+ description="Reranker 模型名",
+ )
+ reranker_threshold: float = Field(
+ default=0.1,
+ ge=0.0, le=1.0,
+ description="相关性阈值,低于此分视为不相关",
+ )
+
+ # ===== RAG 参数 =====
+ retry_limit: int = Field(
+ default=2,
+ ge=0, le=5,
+ description="自纠错最大重试次数",
+ )
+ top_k: int = Field(
+ default=3,
+ ge=1, le=20,
+ description="检索返回文档数",
+ )
+
+ # ===== CORS 配置 =====
+ cors_origins: list[str] = Field(
+ default=["*"],
+ description="允许的跨域来源",
+ )
+
+ # ===== 数据库配置 =====
+ database_url: str = Field(
+ default="",
+ alias="DATABASE_URL",
+ description="PostgreSQL 连接串(asyncpg 格式,为空则使用本地 ChromaDB)",
+ )
+
+ # ===== Redis 配置 =====
+ redis_url: str = Field(
+ default="",
+ alias="REDIS_URL",
+ description="Redis 连接串(为空则跳过缓存/限流)",
+ )
+
+ # ===== LangFuse 可观测性 =====
+ langfuse_public_key: str = Field(
+ default="",
+ alias="LANGFUSE_PUBLIC_KEY",
+ description="LangFuse Public Key",
+ )
+ langfuse_secret_key: str = Field(
+ default="",
+ alias="LANGFUSE_SECRET_KEY",
+ description="LangFuse Secret Key",
+ )
+ langfuse_host: str = Field(
+ default="https://cloud.langfuse.com",
+ alias="LANGFUSE_HOST",
+ description="LangFuse 服务地址",
+ )
+
+ # ===== 限流配置 =====
+ rate_limit_enabled: bool = Field(
+ default=False,
+ alias="RATE_LIMIT_ENABLED",
+ description="是否启用限流",
+ )
+
+ # ===== 日志配置 =====
+ log_level: str = Field(
+ default="INFO",
+ description="日志级别(DEBUG / INFO / WARNING / ERROR)",
+ )
+ log_format: str = Field(
+ default="console",
+ description="日志格式(console=彩色可读 / json=结构化)",
+ )
+
+
+# ── 单例 ──────────────────────────────────────────
+settings = Settings()
+
+
+# ============================================================
+# 向下兼容:保持原有导出,所有现有 import 不受影响
+# ============================================================
+
LLM_CONFIG = {
- "model": os.getenv("LLM_MODEL", "deepseek-ai/DeepSeek-V4-Flash"),
- "temperature": 0,
- "api_key": _get("OPENAI_API_KEY"),
- "base_url": _get("OPENAI_BASE_URL"),
+ "model": settings.llm_model,
+ "temperature": settings.llm_temperature,
+ "api_key": settings.openai_api_key,
+ "base_url": settings.openai_base_url,
}
-# ===== Embedding 配置 =====
EMBEDDING_CONFIG = {
- "model": os.getenv("EMBEDDING_MODEL", "BAAI/bge-m3"),
- "api_key": _get("OPENAI_API_KEY"),
- "base_url": _get("OPENAI_BASE_URL"),
+ "model": settings.embedding_model,
+ "api_key": settings.openai_api_key,
+ "base_url": settings.openai_base_url,
}
-# ===== Reranker 配置 =====
RERANKER_CONFIG = {
- "model": os.getenv("RERANKER_MODEL", "BAAI/bge-reranker-v2-m3"),
- "api_key": _get("OPENAI_API_KEY"),
- "base_url": _get("OPENAI_BASE_URL"),
+ "model": settings.reranker_model,
+ "api_key": settings.openai_api_key,
+ "base_url": settings.openai_base_url,
}
-RERANKER_THRESHOLD = 0.1 # 低于此分的文档视为不相关
-# ===== 路径配置 =====
+RERANKER_THRESHOLD = settings.reranker_threshold
+RETRY_LIMIT = settings.retry_limit
+TOP_K = settings.top_k
+
+# 路径(保持与旧版兼容)
PROJECT_ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
DATA_DIR = os.path.join(PROJECT_ROOT, "data")
RAW_DIR = os.path.join(DATA_DIR, "raw")
CHROMA_DIR = os.path.join(DATA_DIR, "chroma_db")
-
-# ===== RAG 参数 =====
-RETRY_LIMIT = 2 # 自纠错最大重试次数
-TOP_K = 3 # 检索返回的文档数
diff --git a/src/core/observability.py b/src/core/observability.py
new file mode 100644
index 0000000..735e436
--- /dev/null
+++ b/src/core/observability.py
@@ -0,0 +1,58 @@
+"""
+observability.py — LangFuse 可观测性集成
+=============================================
+提供 LangFuse CallbackHandler,注入 LangChain/LangGraph 调用链。
+
+用法:
+ from src.core.observability import get_langfuse_handler
+
+ handler = get_langfuse_handler()
+ result = await graph.ainvoke(state, config={"callbacks": [handler]})
+"""
+
+from src.config import settings
+from src.logger import logger
+
+
+_langfuse_handler = None
+
+
+def get_langfuse_handler():
+ """获取 LangFuse CallbackHandler(懒加载单例)
+
+ 如果未配置 LANGFUSE_PUBLIC_KEY,返回 None(不影响正常功能)。
+ """
+ global _langfuse_handler
+
+ if _langfuse_handler is not None:
+ return _langfuse_handler
+
+ if not settings.langfuse_public_key or not settings.langfuse_secret_key:
+ logger.info("langfuse_disabled", reason="no_api_keys")
+ _langfuse_handler = None
+ return None
+
+ try:
+ from langfuse.langchain import CallbackHandler
+
+ _langfuse_handler = CallbackHandler(
+ public_key=settings.langfuse_public_key,
+ secret_key=settings.langfuse_secret_key,
+ host=settings.langfuse_host,
+ )
+ logger.info("langfuse_initialized", host=settings.langfuse_host)
+ return _langfuse_handler
+ except ImportError:
+ logger.warning("langfuse_not_installed", hint="pip install langfuse")
+ _langfuse_handler = None
+ return None
+ except Exception as e:
+ logger.error("langfuse_init_failed", error=str(e))
+ _langfuse_handler = None
+ return None
+
+
+def is_langfuse_enabled() -> bool:
+ """检查 LangFuse 是否可用"""
+ handler = get_langfuse_handler()
+ return handler is not None
diff --git a/src/core/prompt_loader.py b/src/core/prompt_loader.py
new file mode 100644
index 0000000..d5fdbdc
--- /dev/null
+++ b/src/core/prompt_loader.py
@@ -0,0 +1,144 @@
+"""
+prompt_loader.py — Prompt YAML 加载器
+==========================================
+从 src/prompts/ 目录加载 YAML 格式的 Prompt 模板,
+支持版本管理、变量替换、缓存。
+
+用法:
+ from src.core.prompt_loader import PromptLoader
+
+ loader = PromptLoader()
+ prompt = loader.load("gen_answer", version="v1")
+ messages = prompt.format_messages(context="...", question="...")
+"""
+
+import os
+import re
+from pathlib import Path
+from functools import lru_cache
+from typing import Optional
+
+import yaml
+from langchain_core.prompts import ChatPromptTemplate
+
+from src.logger import logger
+
+
+class PromptLoader:
+ """从 YAML 文件加载 Prompt 模板"""
+
+ def __init__(self, prompts_dir: Optional[str] = None):
+ if prompts_dir is None:
+ # 默认路径:src/prompts/
+ prompts_dir = os.path.join(
+ os.path.dirname(os.path.dirname(os.path.abspath(__file__))),
+ "prompts",
+ )
+ self.prompts_dir = Path(prompts_dir)
+ self._cache: dict[str, ChatPromptTemplate] = {}
+
+ def _get_prompt_path(self, name: str, version: str = "v1") -> Path:
+ """获取 Prompt YAML 文件路径"""
+ # 支持多种命名格式:gen_answer_v1.yaml, gen_answer.yaml
+ candidates = [
+ self.prompts_dir / f"{name}_{version}.yaml",
+ self.prompts_dir / f"{name}.yaml",
+ ]
+ for path in candidates:
+ if path.exists():
+ return path
+ raise FileNotFoundError(
+ f"Prompt 文件未找到: {name} (version={version})。"
+ f"搜索路径: {[str(c) for c in candidates]}"
+ )
+
+ def load(self, name: str, version: str = "v1") -> ChatPromptTemplate:
+ """加载 Prompt 模板(带缓存)
+
+ Args:
+ name: Prompt 名称(不含版本后缀),如 "gen_answer"
+ version: 版本后缀,如 "v1"
+
+ Returns:
+ ChatPromptTemplate 实例,可直接 .format_messages(**kwargs)
+ """
+ cache_key = f"{name}_{version}"
+
+ if cache_key in self._cache:
+ return self._cache[cache_key]
+
+ path = self._get_prompt_path(name, version)
+
+ with open(path, "r", encoding="utf-8") as f:
+ data = yaml.safe_load(f)
+
+ system = data.get("system", "")
+ human = data.get("human", "")
+
+ template = ChatPromptTemplate.from_messages([
+ ("system", system.strip()),
+ ("human", human.strip()),
+ ])
+
+ self._cache[cache_key] = template
+ logger.info(
+ f"prompt_loaded",
+ name=name,
+ version=version,
+ path=str(path),
+ )
+ return template
+
+ def load_raw(self, name: str, version: str = "v1") -> dict:
+ """加载原始 YAML 数据(不包装为 ChatPromptTemplate)"""
+ path = self._get_prompt_path(name, version)
+ with open(path, "r", encoding="utf-8") as f:
+ return yaml.safe_load(f)
+
+ def list_prompts(self) -> list[dict]:
+ """列出所有可用的 Prompt"""
+ prompts = []
+ if not self.prompts_dir.exists():
+ return prompts
+
+ for path in sorted(self.prompts_dir.glob("*.yaml")):
+ try:
+ with open(path, "r", encoding="utf-8") as f:
+ data = yaml.safe_load(f)
+ prompts.append({
+ "name": data.get("name", path.stem),
+ "version": data.get("version", "unknown"),
+ "description": data.get("description", ""),
+ "file": path.name,
+ })
+ except Exception:
+ continue
+
+ return prompts
+
+ def invalidate_cache(self, name: Optional[str] = None):
+ """清除缓存(用于热重载)"""
+ if name is None:
+ self._cache.clear()
+ else:
+ keys_to_delete = [k for k in self._cache if k.startswith(name)]
+ for k in keys_to_delete:
+ del self._cache[k]
+
+ def reload(self, name: str, version: str = "v1") -> ChatPromptTemplate:
+ """强制重新加载(绕过缓存)"""
+ cache_key = f"{name}_{version}"
+ self._cache.pop(cache_key, None)
+ return self.load(name, version)
+
+
+# ── 单例 ──────────────────────────────────────────
+_global_loader: Optional[PromptLoader] = None
+
+
+def get_prompt_loader() -> PromptLoader:
+ """获取全局 PromptLoader 单例"""
+ global _global_loader
+ if _global_loader is None:
+ _global_loader = PromptLoader()
+ return _global_loader
diff --git a/src/core/state.py b/src/core/state.py
index a4ef652..89f8da1 100644
--- a/src/core/state.py
+++ b/src/core/state.py
@@ -197,3 +197,4 @@ async def init_app_state() -> AppState:
state = AppState()
await state.initialize()
return state
+
diff --git a/src/graph.py b/src/graph.py
index 6542c9c..926a4af 100644
--- a/src/graph.py
+++ b/src/graph.py
@@ -3,6 +3,7 @@
======================================
将 supervisor + agents 组合为可执行的 LangGraph 应用。
所有节点均为 async,由 build_async_graph 构建。
+Prompt 从 YAML 加载(src/prompts/)。
用法:
graph = build_async_graph(vectorstore, bm25_search, hybrid_retriever, reranker)
@@ -18,6 +19,7 @@
from src.config import LLM_CONFIG, RETRY_LIMIT, RERANKER_THRESHOLD
from src.retrievers import APIReranker
from src.logger import logger
+from src.core.prompt_loader import get_prompt_loader
# ===== State =====
@@ -33,15 +35,7 @@ class AgentState(TypedDict):
# ===== 初始化 =====
llm = ChatOpenAI(**LLM_CONFIG)
-
-
-# ===== 生成 Prompt =====
-gen_prompt = ChatPromptTemplate.from_messages([
- ("system", "你是知识问答助手。基于上下文用中文回答问题。\n"
- "规则:有答案就准确回答;没答案就说无法回答;不要编造。\n\n"
- "上下文:\n{context}"),
- ("human", "{question}"),
-])
+prompt_loader = get_prompt_loader()
# ===== 图节点工厂(异步) =====
@@ -114,12 +108,8 @@ async def rerank_node(state: AgentState) -> dict:
async def rewrite_node(state: AgentState) -> dict:
"""重写查询,提高检索质量(异步)"""
- rewrite_prompt = ChatPromptTemplate.from_messages([
- ("system", "你是查询重写专家。根据原问题重写更精确的检索查询。"
- "只输出重写后的查询,不要解释。"),
- ("human", "原问题:{question}"),
- ])
logger.info("优化查询重写...")
+ rewrite_prompt = prompt_loader.load("rewrite_query", "v1")
msg = rewrite_prompt.format_messages(question=state["question"])
response = await llm.ainvoke(msg)
rewritten = response.content.strip()
@@ -135,6 +125,7 @@ async def generate_node(state: AgentState) -> dict:
context = "\n---\n".join(
f"[文档{i+1}] {d.page_content}" for i, d in enumerate(docs)
)
+ gen_prompt = prompt_loader.load("gen_answer", "v1")
msg = gen_prompt.format_messages(context=context, question=state["question"])
response = await llm.ainvoke(msg)
return {"generation": response.content}
diff --git a/src/logger.py b/src/logger.py
index c46fb0b..f54cab6 100644
--- a/src/logger.py
+++ b/src/logger.py
@@ -1,25 +1,42 @@
-"""
-logger.py — 统一日志系统
-=========================
-替换项目中的 print() 调用,支持:
-- 控制台 + 文件双输出
-- 时间戳 + 级别 + 模块名
-- DEBUG/INFO/WARNING/ERROR 四级
-"""
+import structlog
import logging
-import os
+from src.config import settings
-LOG_FILE = os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))),
- "app.log")
-logging.basicConfig(
- level=logging.INFO,
- format="%(asctime)s [%(levelname)-5s] %(name)s: %(message)s",
- datefmt="%H:%M:%S",
- handlers=[
- logging.StreamHandler(),
- logging.FileHandler(LOG_FILE, encoding="utf-8"),
- ],
-)
+def setup_logging() -> structlog.BoundLogger:
+ """配置 structlog,返回全局 logger 实例"""
-logger = logging.getLogger("xhs-insight")
+ # 1. 确定输出格式
+ if settings.log_format == "json":
+ renderer = structlog.processors.JSONRenderer()
+ else:
+ renderer = structlog.dev.ConsoleRenderer(colors=True)
+
+ # 2. 配置处理器管道
+ structlog.configure(
+ processors=[
+ # ① 注入 contextvars 中的变量(request_id 等)
+ structlog.contextvars.merge_contextvars,
+ # ② 添加日志级别
+ structlog.processors.add_log_level,
+ # ③ 添加时间戳
+ structlog.processors.TimeStamper(fmt="iso"),
+ # ④ 如果日志记录里有异常,格式化堆栈
+ structlog.processors.ExceptionPrettyPrinter(),
+ # ⑤ 最终输出
+ renderer,
+ ],
+ # 包装标准库 logging,让 FastAPI/Uvicorn 的日志也走 structlog
+ wrapper_class=structlog.make_filtering_bound_logger(
+ getattr(logging, settings.log_level.upper(), logging.INFO)
+ ),
+ context_class=dict,
+ logger_factory=structlog.PrintLoggerFactory(),
+ cache_logger_on_first_use=True,
+ )
+
+ return structlog.get_logger()
+
+
+# ── 模块级 logger 实例 ────────────────────────────
+logger = setup_logging()
\ No newline at end of file
diff --git a/src/prompts/gen_answer_v1.yaml b/src/prompts/gen_answer_v1.yaml
new file mode 100644
index 0000000..4a66f41
--- /dev/null
+++ b/src/prompts/gen_answer_v1.yaml
@@ -0,0 +1,20 @@
+# gen_answer — QA 答案生成 Prompt
+# ==================================
+# 用于 graph.py generate_node,基于检索上下文生成中文回答
+# 格式:LangChain ChatPromptTemplate (system + human)
+
+name: gen_answer
+version: "1.0.0"
+description: "基于检索上下文生成中文回答"
+model: deepseek-ai/DeepSeek-V4-Flash
+temperature: 0
+
+system: |
+ 你是知识问答助手。基于上下文用中文回答问题。
+ 规则:有答案就准确回答;没答案就说无法回答;不要编造。
+
+ 上下文:
+ {context}
+
+human: |
+ {question}
diff --git a/src/prompts/insight_report_v2.yaml b/src/prompts/insight_report_v2.yaml
new file mode 100644
index 0000000..c9c8302
--- /dev/null
+++ b/src/prompts/insight_report_v2.yaml
@@ -0,0 +1,74 @@
+# insight_report — 电商选品洞察报告 Prompt
+# ============================================
+# 用于 insight_agent.py InsightGenerator,生成结构化电商报告
+
+name: insight_report
+version: "2.0.0"
+description: "根据用户评论数据和电商指标生成专业选品洞察报告"
+model: deepseek-ai/DeepSeek-V4-Flash
+temperature: 0
+
+system: |
+ 你是小红书电商选品分析专家,同时也是有5年经验的电商小商家。
+ 根据用户提供的评论区数据和电商指标,生成一份专业的**电商选品市场洞察报告**。
+
+ 报告要求:
+ 1. 以电商小商家的视角来分析,关注**可执行性**和**利润**
+ 2. 每条洞察都要有数据支撑(频次、利润率、评分等)
+ 3. 选品建议要具体:价格带 + 功能点 + 目标人群 + 预估利润
+ 4. 指出竞争空白(用户想要但没有被满足的)和差异化机会
+ 5. 评估物流友好度和售后风险
+ 6. 数据量充足,尽量覆盖更多用户反馈
+
+ 报告格式(严格按以下结构输出):
+ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
+ 【市场概况】品类热度、分析笔记数、季节特性(常青/季节性)
+ 【利润空间评估】平均售价/成本、定价倍率、预估利润率、是否达到3-5倍选品标准
+ 【物流友好度】平均重量、破损风险、运费预估、仓储难度
+ 【竞争格局】主要品牌、品牌集中度、新卖家进入难度
+ 【用户痛点 TOP 5】列出最集中的投诉问题(至少5条,覆盖面要广)
+ 【需求信号】用户正在搜索/求购的方向(至少5条)
+ 【差异化机会】基于差评的升级方向:材质/功能/组合/场景/颜色等
+ 【选品综合评分】利润/物流/竞争/需求四维雷达评分 + 总分
+ 【选品建议】4-5条具体可执行方向,含价格带+功能点+目标人群+预估利润
+ 【避坑提醒】该品类的潜在风险(退货率、售后、侵权、季节性等)
+ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
+ 最后加一句总结性的一句话点评。
+
+human: |
+ 品类:{category}
+
+ ===== 数据概览 =====
+ 分析笔记数:{note_count} 篇
+ 平均点赞:{avg_likes} | 总求链接:{total_ask_link}
+ 常青款占比:{evergreen_ratio}%
+
+ ===== 电商指标 =====
+ 平均售价:¥{avg_price} | 平均成本:¥{avg_cost}
+ 定价倍率(售价/成本):{price_cost_ratio}x
+ 平均利润率:{profit_margin}%
+ 平均重量:{avg_weight}kg
+
+ ===== 选品评分 =====
+ 利润评分:{profit_score}/100
+ 物流评分:{logistics_score}/100
+ 竞争评分:{competition_score}/100
+ 需求热度:{demand_score}/100
+ 选品综合评分:{selection_score}/100
+
+ ===== 用户反馈 =====
+ 用户投诉(按频次排序):
+ {complaints}
+
+ 用户需求信号(按频次排序):
+ {intents}
+
+ 品牌对比提及:
+ {comparisons}
+
+ 涉及品牌:{brands}
+
+ 差异化方向参考:{differentiations}
+ 预估月销量参考:{monthly_sales} 件
+
+ 请输出电商选品洞察报告:
diff --git a/src/prompts/rewrite_query_v1.yaml b/src/prompts/rewrite_query_v1.yaml
new file mode 100644
index 0000000..87170ba
--- /dev/null
+++ b/src/prompts/rewrite_query_v1.yaml
@@ -0,0 +1,16 @@
+# rewrite_query — 查询重写 Prompt
+# ===================================
+# 用于 graph.py rewrite_node,优化检索查询
+
+name: rewrite_query
+version: "1.0.0"
+description: "根据原问题重写更精确的检索查询"
+model: deepseek-ai/DeepSeek-V4-Flash
+temperature: 0
+
+system: |
+ 你是查询重写专家。根据原问题重写更精确的检索查询。
+ 只输出重写后的查询,不要解释。
+
+human: |
+ 原问题:{question}
diff --git a/src/prompts/supervisor_v1.yaml b/src/prompts/supervisor_v1.yaml
new file mode 100644
index 0000000..81f53ee
--- /dev/null
+++ b/src/prompts/supervisor_v1.yaml
@@ -0,0 +1,19 @@
+# supervisor — 策略路由 Prompt
+# =================================
+# 用于 supervisor.py,分析问题特征选择检索策略
+
+name: supervisor
+version: "1.0.0"
+description: "分析问题特征,选择最佳检索策略"
+model: deepseek-ai/DeepSeek-V4-Flash
+temperature: 0
+
+system: |
+ 分析问题特征,选择最佳检索策略:
+ - vector:概念性、描述性问题
+ - keyword:专有名词、缩写、代码
+ - hybrid:通用场景
+ 只输出策略名,不要其他内容。
+
+human: |
+ {question}
diff --git a/static/js/app.js b/static/js/app.js
index 656fd86..7f4a66a 100644
--- a/static/js/app.js
+++ b/static/js/app.js
@@ -125,15 +125,93 @@
if (!category) return;
setLoading(insightBtn, true);
- insightResult.innerHTML = '正在分析「' + escapeHtml(category) + '」的评论区数据...
';
+
+ // 创建报告容器
+ insightResult.innerHTML = '';
+ const reportEl = insightResult.querySelector('.insight-report');
+
+ // 状态指示器
+ const statusEl = document.createElement('div');
+ statusEl.className = 'stream-status';
+ statusEl.innerHTML = '
正在分析「' + escapeHtml(category) + '」...';
+ reportEl.appendChild(statusEl);
+
+ // 报告内容区
+ const contentEl = document.createElement('pre');
+ contentEl.style.cssText = 'white-space:pre-wrap;font-family:inherit;line-height:1.8;display:none;';
+ reportEl.appendChild(contentEl);
+
+ // 底部统计
+ const footerEl = document.createElement('p');
+ footerEl.style.cssText = 'margin-top:12px;color:#999;font-size:12px;display:none;';
+ reportEl.appendChild(footerEl);
try {
- const data = await apiPost('/api/insight', { category });
- insightResult.innerHTML = renderInsightReport(data);
- loadStats(); // 可能有新数据入库
- showToast(`✅ 报告生成完成 · 耗时 ${data.elapsed}s`);
+ const resp = await fetch('/api/insight/stream', {
+ method: 'POST',
+ headers: { 'Content-Type': 'application/json' },
+ body: JSON.stringify({ category }),
+ });
+
+ if (!resp.ok) {
+ const err = await resp.json().catch(() => ({ detail: resp.statusText }));
+ throw new Error(err.detail || `HTTP ${resp.status}`);
+ }
+
+ const reader = resp.body.getReader();
+ const decoder = new TextDecoder();
+ let buffer = '';
+ let fullText = '';
+ let noteCount = 0;
+ let elapsed = 0;
+
+ while (true) {
+ const { done, value } = await reader.read();
+ if (done) break;
+
+ buffer += decoder.decode(value, { stream: true });
+ const lines = buffer.split('\n');
+ buffer = lines.pop() || '';
+
+ let eventType = '';
+ for (const line of lines) {
+ if (line.startsWith('event: ')) {
+ eventType = line.slice(7).trim();
+ } else if (line.startsWith('data: ')) {
+ const data = JSON.parse(line.slice(6));
+
+ if (eventType === 'stage') {
+ statusEl.querySelector('.status-text').textContent = data.message;
+ } else if (eventType === 'token') {
+ if (!contentEl.style.display || contentEl.style.display === 'none') {
+ contentEl.style.display = 'block';
+ statusEl.style.display = 'none';
+ }
+ fullText += data.token;
+ contentEl.textContent = fullText;
+ } else if (eventType === 'done') {
+ noteCount = data.note_count;
+ elapsed = data.elapsed;
+ } else if (eventType === 'error') {
+ throw new Error(data.message);
+ }
+ }
+ }
+ }
+
+ if (fullText) {
+ footerEl.textContent = '⏱ 耗时 ' + elapsed + 's · 基于 ' + noteCount + ' 篇笔记';
+ footerEl.style.display = 'block';
+ showToast('✅ 报告生成完成 · 耗时 ' + elapsed + 's');
+ } else {
+ contentEl.textContent = '未能生成报告内容';
+ contentEl.style.display = 'block';
+ }
+
+ loadStats();
+
} catch (e) {
- insightResult.innerHTML = `
❌
${escapeHtml(e.message)}
`;
+ insightResult.innerHTML = '
❌
' + escapeHtml(e.message) + '
';
showToast('❌ ' + e.message);
} finally {
setLoading(insightBtn, false);
@@ -179,15 +257,85 @@
qaInput.value = '';
qaBtn.disabled = true;
- const msgId = addChatMessage('assistant', '
思考中...');
+ const statusEl = addChatMessage('assistant', '
思考中...');
+ const answerEl = document.createElement('div');
+ answerEl.className = 'chat-bubble assistant stream-answer';
+ answerEl.style.display = 'none';
+ chatMessages.appendChild(answerEl);
+
+ let fullAnswer = '';
try {
- const data = await apiPost('/api/qa', { question });
- updateChatMessage(msgId, data.answer);
- showToast(`✅ 回答完成 · 耗时 ${data.elapsed}s`);
+ const resp = await fetch('/api/qa/stream', {
+ method: 'POST',
+ headers: { 'Content-Type': 'application/json' },
+ body: JSON.stringify({ question }),
+ });
+
+ if (!resp.ok) {
+ const err = await resp.json().catch(() => ({ detail: resp.statusText }));
+ throw new Error(err.detail || `HTTP ${resp.status}`);
+ }
+
+ const reader = resp.body.getReader();
+ const decoder = new TextDecoder();
+ let buffer = '';
+
+ while (true) {
+ const { done, value } = await reader.read();
+ if (done) break;
+
+ buffer += decoder.decode(value, { stream: true });
+ const lines = buffer.split('\n');
+ buffer = lines.pop() || '';
+
+ let eventType = '';
+ for (const line of lines) {
+ if (line.startsWith('event: ')) {
+ eventType = line.slice(7).trim();
+ } else if (line.startsWith('data: ')) {
+ try {
+ const data = JSON.parse(line.slice(6));
+
+ if (eventType === 'stage') {
+ statusEl.innerHTML = '
' + escapeHtml(data.message);
+ } else if (eventType === 'token') {
+ if (statusEl.style.display !== 'none') {
+ statusEl.style.display = 'none';
+ answerEl.style.display = 'block';
+ }
+ fullAnswer += data.token;
+ answerEl.textContent = fullAnswer;
+ chatMessages.parentElement.scrollTop = chatMessages.parentElement.scrollHeight;
+ } else if (eventType === 'done') {
+ answerEl.textContent = data.answer || fullAnswer;
+ showToast('✅ 回答完成 · 耗时 ' + data.elapsed + 's');
+ } else if (eventType === 'error') {
+ throw new Error(data.message);
+ }
+ } catch (parseErr) {
+ // 非 JSON 数据,跳过
+ }
+ }
+ }
+ }
+
+ if (!fullAnswer) {
+ answerEl.textContent = '未能生成回答';
+ answerEl.style.display = 'block';
+ }
+
+ if (statusEl.style.display !== 'none') {
+ statusEl.style.display = 'none';
+ }
+
} catch (e) {
- updateChatMessage(msgId, '❌ ' + escapeHtml(e.message));
+ if (statusEl.style.display !== 'none') statusEl.style.display = 'none';
+ answerEl.textContent = '❌ ' + escapeHtml(e.message);
+ answerEl.style.display = 'block';
showToast('❌ ' + e.message);
+ } finally {
+ qaBtn.disabled = false;
}
});
diff --git a/tests/test_agents/__init__.py b/tests/test_agents/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/test_agents/test_insight_agent.py b/tests/test_agents/test_insight_agent.py
new file mode 100644
index 0000000..d3cfc09
--- /dev/null
+++ b/tests/test_agents/test_insight_agent.py
@@ -0,0 +1,114 @@
+"""
+test_insight_agent.py — InsightGenerator 单元测试
+"""
+import pytest
+import sys
+import os
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), "../.."))
+
+
+class TestInsightGenerator:
+ """InsightGenerator 测试"""
+
+ def _make_aggregated(self, **overrides):
+ """构建测试用的聚合数据"""
+ data = {
+ "note_count": 5,
+ "avg_likes": 120.0,
+ "total_ask_link": 8,
+ "top_complaints": [("太贵了", 3), ("质量差", 2)],
+ "top_purchase_intents": [("想买", 4), ("求链接", 3)],
+ "comparison_patterns": ["品牌A vs 品牌B"],
+ "related_brands": ["品牌A", "品牌B"],
+ "differentiation_directions": ["材质升级", "功能组合"],
+ "evergreen_ratio": 0.8,
+ "avg_price": 89.0,
+ "avg_cost": 25.0,
+ "price_cost_ratio": 3.56,
+ "avg_profit_margin": 0.72,
+ "avg_weight": 0.3,
+ "profit_score": 85,
+ "logistics_score": 78,
+ "competition_score": 62,
+ "demand_score": 90,
+ "selection_score": 79,
+ "estimated_monthly_sales": 500,
+ "avg_return_rate": 0.05,
+ }
+ data.update(overrides)
+ return data
+
+ def test_instantiation(self):
+ """InsightGenerator 可以正常实例化"""
+ from src.agents.insight_agent import InsightGenerator
+ gen = InsightGenerator()
+ assert gen is not None
+ assert gen.llm is not None
+
+ def test_generate_fallback_basic(self):
+ """generate_fallback() 基本功能:生成兜底报告"""
+ from src.agents.insight_agent import InsightGenerator
+ gen = InsightGenerator()
+ aggregated = self._make_aggregated()
+
+ report = gen.generate_fallback(aggregated, category="磁吸感应灯")
+
+ assert "磁吸感应灯" in report
+ assert "市场概况" in report
+ assert "利润空间评估" in report
+ assert "用户痛点" in report
+
+ def test_generate_fallback_empty_data(self):
+ """generate_fallback() 空数据时应返回提示"""
+ from src.agents.insight_agent import InsightGenerator
+ gen = InsightGenerator()
+ report = gen.generate_fallback({"note_count": 0}, category="测试")
+ assert "没有足够的评论数据" in report
+
+ def test_generate_fallback_low_score_warning(self):
+ """generate_fallback() 低评分时应给出警告"""
+ from src.agents.insight_agent import InsightGenerator
+ gen = InsightGenerator()
+ aggregated = self._make_aggregated(selection_score=30, competition_score=20)
+ report = gen.generate_fallback(aggregated, category="红海品类")
+ assert "不建议" in report or "谨慎" in report
+
+ @pytest.mark.asyncio
+ async def test_agenerate_returns_report(self):
+ """agenerate() 应返回报告文本"""
+ from src.agents.insight_agent import InsightGenerator
+ from unittest.mock import AsyncMock, MagicMock
+
+ gen = InsightGenerator()
+ mock_response = MagicMock()
+ mock_response.content = "测试报告内容"
+ gen.llm.ainvoke = AsyncMock(return_value=mock_response)
+
+ aggregated = self._make_aggregated()
+ report = await gen.agenerate(aggregated, category="测试品类")
+
+ assert report == "测试报告内容"
+
+ @pytest.mark.asyncio
+ async def test_astream_yields_tokens(self):
+ """astream() 应逐 token yield"""
+ from src.agents.insight_agent import InsightGenerator
+ from unittest.mock import AsyncMock, MagicMock
+
+ gen = InsightGenerator()
+ # Mock llm.astream
+ async def mock_astream(msg):
+ class Chunk:
+ def __init__(self, c):
+ self.content = c
+ yield Chunk("测")
+ yield Chunk("试")
+
+ gen.llm.astream = mock_astream
+
+ aggregated = self._make_aggregated()
+ tokens = []
+ async for token in gen.astream(aggregated, category="测试"):
+ tokens.append(token)
+
+ assert tokens == ["测", "试"]
diff --git a/tests/test_agents/test_supervisor.py b/tests/test_agents/test_supervisor.py
new file mode 100644
index 0000000..b4eddc2
--- /dev/null
+++ b/tests/test_agents/test_supervisor.py
@@ -0,0 +1,66 @@
+"""
+test_supervisor.py — Supervisor 策略路由测试
+"""
+import pytest
+import sys
+import os
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), "../.."))
+
+
+class TestSupervisor:
+ """Supervisor 策略路由测试"""
+
+ def test_supervisor_instantiation(self):
+ """Supervisor 可以正常实例化"""
+ from src.agents.supervisor import Supervisor
+ sup = Supervisor()
+ assert sup is not None
+ assert sup.llm is not None
+
+ def test_decide_with_empty_strategies(self):
+ """decide() 在策略列表为空时应返回 hybrid"""
+ from src.agents.supervisor import Supervisor
+ # 使用 mock LLM 避免真实 API 调用
+ from unittest.mock import MagicMock
+ sup = Supervisor()
+ sup.llm = MagicMock()
+ sup.llm.invoke.return_value.content = " hybrid "
+
+ result = sup.decide("测试问题", ["vector", "keyword", "hybrid"])
+ assert result == "hybrid"
+
+ def test_decide_falls_back_to_hybrid(self):
+ """decide() 在 LLM 返回无效策略时应退回到 hybrid"""
+ from src.agents.supervisor import Supervisor
+ from unittest.mock import MagicMock
+ sup = Supervisor()
+ sup.llm = MagicMock()
+ sup.llm.invoke.return_value.content = "invalid_strategy"
+
+ result = sup.decide("测试问题", ["vector", "keyword", "hybrid"])
+ assert result == "hybrid"
+
+ def test_decide_returns_valid_strategy(self):
+ """decide() 应返回有效策略"""
+ from src.agents.supervisor import Supervisor
+ from unittest.mock import MagicMock
+ sup = Supervisor()
+ sup.llm = MagicMock()
+ sup.llm.invoke.return_value.content = "vector"
+
+ result = sup.decide("概念性问题", ["vector", "keyword", "hybrid"])
+ assert result == "vector"
+
+ @pytest.mark.asyncio
+ async def test_adecide_basic(self):
+ """adecide() 异步版本基本功能"""
+ from src.agents.supervisor import Supervisor
+ from unittest.mock import AsyncMock, MagicMock
+
+ sup = Supervisor()
+ mock_response = MagicMock()
+ mock_response.content = "keyword"
+ sup.llm.ainvoke = AsyncMock(return_value=mock_response)
+
+ result = await sup.adecide("专有名词查询", ["vector", "keyword", "hybrid"])
+ assert result == "keyword"
diff --git a/tests/test_api/__init__.py b/tests/test_api/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/test_api/test_health.py b/tests/test_api/test_health.py
new file mode 100644
index 0000000..eb0cae0
--- /dev/null
+++ b/tests/test_api/test_health.py
@@ -0,0 +1,52 @@
+"""
+test_health.py — API 健康检查 + 统计端点测试
+"""
+import pytest
+from httpx import AsyncClient, ASGITransport
+
+
+@pytest.fixture
+def app():
+ """创建测试用 FastAPI app(不启动真实服务)"""
+ from src.api.main import app
+ return app
+
+
+@pytest.mark.asyncio
+async def test_health_returns_200(app):
+ """GET /api/health 应返回 200"""
+ transport = ASGITransport(app=app)
+ async with AsyncClient(transport=transport, base_url="http://test") as client:
+ resp = await client.get("/api/health")
+ assert resp.status_code == 200
+ data = resp.json()
+ assert data["status"] == "ok"
+
+
+@pytest.mark.asyncio
+async def test_health_returns_version(app):
+ """GET /api/health 应包含版本号"""
+ transport = ASGITransport(app=app)
+ async with AsyncClient(transport=transport, base_url="http://test") as client:
+ resp = await client.get("/api/health")
+ assert resp.json()["version"] == "2.0.0"
+
+
+@pytest.mark.asyncio
+async def test_stats_requires_app_state(app):
+ """GET /api/stats — 如果 AppState 未初始化应返回 503"""
+ transport = ASGITransport(app=app)
+ async with AsyncClient(transport=transport, base_url="http://test") as client:
+ resp = await client.get("/api/stats")
+ # 未初始化时返回 503
+ assert resp.status_code == 503
+
+
+@pytest.mark.asyncio
+async def test_frontend_served(app):
+ """GET / 应返回 HTML 前端页面"""
+ transport = ASGITransport(app=app)
+ async with AsyncClient(transport=transport, base_url="http://test") as client:
+ resp = await client.get("/")
+ assert resp.status_code == 200
+ assert "text/html" in resp.headers.get("content-type", "")
diff --git a/tests/test_api/test_insight.py b/tests/test_api/test_insight.py
new file mode 100644
index 0000000..cb7dea9
--- /dev/null
+++ b/tests/test_api/test_insight.py
@@ -0,0 +1,45 @@
+"""
+test_insight.py — Insight 端点测试(非流式 + 流式)
+"""
+import pytest
+from httpx import AsyncClient, ASGITransport
+
+
+@pytest.fixture
+def app():
+ from src.api.main import app
+ return app
+
+
+@pytest.mark.asyncio
+async def test_insight_endpoint_exists(app):
+ """POST /api/insight 端点应存在"""
+ transport = ASGITransport(app=app)
+ async with AsyncClient(transport=transport, base_url="http://test") as client:
+ resp = await client.post(
+ "/api/insight",
+ json={"category": "磁吸感应灯"},
+ )
+ assert resp.status_code in [422, 503, 200]
+
+
+@pytest.mark.asyncio
+async def test_insight_stream_endpoint_exists(app):
+ """POST /api/insight/stream 端点应存在"""
+ transport = ASGITransport(app=app)
+ async with AsyncClient(transport=transport, base_url="http://test") as client:
+ resp = await client.post(
+ "/api/insight/stream",
+ json={"category": "磁吸感应灯"},
+ )
+ assert resp.status_code in [422, 503, 200]
+
+
+@pytest.mark.asyncio
+async def test_insight_validates_input(app):
+ """POST /api/insight 应验证输入格式"""
+ transport = ASGITransport(app=app)
+ async with AsyncClient(transport=transport, base_url="http://test") as client:
+ # 缺少 category 字段
+ resp = await client.post("/api/insight", json={})
+ assert resp.status_code == 422
diff --git a/tests/test_api/test_qa.py b/tests/test_api/test_qa.py
new file mode 100644
index 0000000..a5fcaf4
--- /dev/null
+++ b/tests/test_api/test_qa.py
@@ -0,0 +1,47 @@
+"""
+test_qa.py — QA 端点测试(非流式 + 流式)
+"""
+import pytest
+from httpx import AsyncClient, ASGITransport
+
+
+@pytest.fixture
+def app():
+ from src.api.main import app
+ return app
+
+
+@pytest.mark.asyncio
+async def test_qa_endpoint_exists(app):
+ """POST /api/qa 端点应存在"""
+ transport = ASGITransport(app=app)
+ async with AsyncClient(transport=transport, base_url="http://test") as client:
+ resp = await client.post(
+ "/api/qa",
+ json={"question": "测试问题", "strategy": "hybrid"},
+ )
+ # 503 说明端点存在但 AppState 未初始化
+ # 422 说明请求格式正确但被业务逻辑拦截
+ assert resp.status_code in [422, 503, 200]
+
+
+@pytest.mark.asyncio
+async def test_qa_stream_endpoint_exists(app):
+ """POST /api/qa/stream 端点应存在"""
+ transport = ASGITransport(app=app)
+ async with AsyncClient(transport=transport, base_url="http://test") as client:
+ resp = await client.post(
+ "/api/qa/stream",
+ json={"question": "测试问题", "strategy": "hybrid"},
+ )
+ assert resp.status_code in [422, 503, 200]
+
+
+@pytest.mark.asyncio
+async def test_qa_validates_input(app):
+ """POST /api/qa 应验证输入格式"""
+ transport = ASGITransport(app=app)
+ async with AsyncClient(transport=transport, base_url="http://test") as client:
+ # 缺少 question 字段
+ resp = await client.post("/api/qa", json={})
+ assert resp.status_code == 422 # Pydantic 验证失败
diff --git a/uv.lock b/uv.lock
index c24ca2c..1699e4a 100644
--- a/uv.lock
+++ b/uv.lock
@@ -4613,11 +4613,13 @@ dependencies = [
{ name = "openpyxl" },
{ name = "pandas", version = "2.3.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
{ name = "pandas", version = "3.0.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
+ { name = "pydantic-settings" },
{ name = "python-dotenv" },
{ name = "pyyaml" },
{ name = "ragas" },
{ name = "rank-bm25" },
{ name = "streamlit" },
+ { name = "structlog" },
{ name = "uvicorn", extra = ["standard"] },
]
@@ -4654,6 +4656,7 @@ requires-dist = [
{ name = "openpyxl", specifier = ">=3.1" },
{ name = "pandas", specifier = ">=2.0" },
{ name = "pre-commit", marker = "extra == 'dev'", specifier = ">=4.0.0" },
+ { name = "pydantic-settings", specifier = ">=2.14.1" },
{ name = "pytest", marker = "extra == 'dev'", specifier = ">=9.1.0" },
{ name = "pytest-asyncio", marker = "extra == 'dev'", specifier = ">=0.24.0" },
{ name = "pytest-cov", marker = "extra == 'dev'", specifier = ">=6.0.0" },
@@ -4664,6 +4667,7 @@ requires-dist = [
{ name = "ruff", marker = "extra == 'dev'", specifier = ">=0.8.0" },
{ name = "sentence-transformers", marker = "extra == 'dev'", specifier = ">=3.0" },
{ name = "streamlit", specifier = ">=1.40" },
+ { name = "structlog", specifier = ">=26.1.0" },
{ name = "uvicorn", extras = ["standard"], specifier = ">=0.32.0" },
]
provides-extras = ["dev"]
@@ -5670,6 +5674,18 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/df/84/14c36a92fb24f8e1cea452f53b0744b5da69d52cdd2fe22e71e6fbf765d5/streamlit-1.58.0-py3-none-any.whl", hash = "sha256:4ca8a7afc5bd16a5f176ccf4be1e34e8121cad0240becd127fb58a103ea3178d", size = 9219185, upload-time = "2026-05-28T18:02:41.993Z" },
]
+[[package]]
+name = "structlog"
+version = "26.1.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+ { name = "typing-extensions", marker = "python_full_version < '3.11'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/5e/89/b4a0bcfdf4f71a3dea31379f095929613d7e4528a0996bca6aa964cd0dca/structlog-26.1.0.tar.gz", hash = "sha256:f63a716cbd1b1291cf7661de7794b455acfa4c43c5bcf1630e6ad5ddc1adb3b7", size = 1459881, upload-time = "2026-06-06T07:33:39.348Z" }
+wheels = [
+ { url = "https://files.pythonhosted.org/packages/a9/18/489c97b834dfff9cf2fc2507cede4bcd4b11e67f84bc462acd1992496f86/structlog-26.1.0-py3-none-any.whl", hash = "sha256:e081a26d6c373e6d201eca24eede26d8ffab07f88f477822e679183428d3d91e", size = 73764, upload-time = "2026-06-06T07:33:38.046Z" },
+]
+
[[package]]
name = "sympy"
version = "1.14.0"
From 149061f1d8871789ea67001a0100035a1764fd26 Mon Sep 17 00:00:00 2001
From: amazingniuma-art
Date: Tue, 23 Jun 2026 15:49:39 +0800
Subject: [PATCH 5/9] =?UTF-8?q?feat(day6):=20PostgreSQL=20+=20pgvector=20?=
=?UTF-8?q?=E6=9B=BF=E6=8D=A2=20ChromaDB?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
- src/core/database.py: SQLAlchemy 2.0 async + asyncpg + pgvector
- DocumentTable: id/content/metadata/embedding (1024维)
- HNSW 向量索引 (cosine_ops)
- insert_documents / search_by_vector 辅助函数
- src/ingestion.py: 新增 PG 异步 Ingestion
- _clean_frontmatter() 统一清理函数
- ingest_to_pg() 全量写入 PG
- incremental_ingest_to_pg() 增量去重写入
- src/retrievers.py: 新增 PG 向量检索
- PGVectorStore: 兼容 ChromaDB 接口 (similarity_search)
- PgHybridRetriever: PG版 混合检索 (向量+BM25+RRF)
- create_pg_vectorstore() 自动检测 PG 可用性
- src/core/state.py: 双模式自动切换
- 优先 PG (DATABASE_URL 配置时)
- 回退 ChromaDB (无 PG 或连接失败)
- _use_pg 标志追踪当前模式
- src/graph.py: 兼容 PG async 向量搜索
- alembic/: 数据库迁移 (001_initial)
- documents 表 + pgvector 扩展 + HNSW 索引
---
alembic.ini | 43 +++++++
alembic/__init__.py | 0
alembic/env.py | 87 +++++++++++++
alembic/script.py.mako | 25 ++++
alembic/versions/001_initial.py | 64 ++++++++++
alembic/versions/__init__.py | 0
src/core/database.py | 210 ++++++++++++++++++++++++++++++++
src/core/state.py | 80 +++++++++---
src/graph.py | 14 ++-
src/ingestion.py | 150 +++++++++++++++++++++++
src/retrievers.py | 178 ++++++++++++++++++++++++++-
11 files changed, 830 insertions(+), 21 deletions(-)
create mode 100644 alembic.ini
create mode 100644 alembic/__init__.py
create mode 100644 alembic/env.py
create mode 100644 alembic/script.py.mako
create mode 100644 alembic/versions/001_initial.py
create mode 100644 alembic/versions/__init__.py
create mode 100644 src/core/database.py
diff --git a/alembic.ini b/alembic.ini
new file mode 100644
index 0000000..d575ac1
--- /dev/null
+++ b/alembic.ini
@@ -0,0 +1,43 @@
+# Alembic 配置文件
+# =====================
+
+[alembic]
+# 迁移脚本目录
+script_location = alembic
+
+# SQLAlchemy URL(可被环境变量覆盖)
+sqlalchemy.url = postgresql+asyncpg://postgres:postgres@localhost:5432/rednote_insight
+
+# 日志
+[loggers]
+keys = root,sqlalchemy,alembic
+
+[handlers]
+keys = console
+
+[formatters]
+keys = generic
+
+[logger_root]
+level = WARN
+handlers = console
+
+[logger_sqlalchemy]
+level = WARN
+handlers =
+qualname = sqlalchemy.engine
+
+[logger_alembic]
+level = INFO
+handlers =
+qualname = alembic
+
+[handler_console]
+class = StreamHandler
+args = (sys.stderr,)
+level = NOTSET
+formatter = generic
+
+[formatter_generic]
+format = %(levelname)-5.5s [%(name)s] %(message)s
+datefmt = %H:%M:%S
diff --git a/alembic/__init__.py b/alembic/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/alembic/env.py b/alembic/env.py
new file mode 100644
index 0000000..d889c69
--- /dev/null
+++ b/alembic/env.py
@@ -0,0 +1,87 @@
+"""
+alembic/env.py — Alembic 迁移环境配置
+========================================
+用于 PostgreSQL + pgvector 数据库迁移管理。
+
+用法:
+ uv run alembic revision --autogenerate -m "描述"
+ uv run alembic upgrade head
+ uv run alembic downgrade -1
+"""
+
+import asyncio
+from logging.config import fileConfig
+
+from sqlalchemy import pool
+from sqlalchemy.engine import Connection
+from sqlalchemy.ext.asyncio import async_engine_from_config
+
+from alembic import context
+
+# Alembic Config 对象
+config = context.config
+
+# 日志配置
+if config.config_file_name is not None:
+ fileConfig(config.config_file_name)
+
+# 目标元数据(所有表定义)
+from src.core.database import Base
+target_metadata = Base.metadata
+
+
+def get_url() -> str:
+ """从配置文件或环境变量获取 DATABASE_URL"""
+ return config.get_main_option(
+ "sqlalchemy.url",
+ "postgresql+asyncpg://postgres:postgres@localhost:5432/rednote_insight",
+ )
+
+
+def run_migrations_offline() -> None:
+ """离线模式:生成 SQL 脚本(不连接数据库)"""
+ url = get_url()
+ context.configure(
+ url=url,
+ target_metadata=target_metadata,
+ literal_binds=True,
+ dialect_opts={"paramstyle": "named"},
+ )
+
+ with context.begin_transaction():
+ context.run_migrations()
+
+
+def do_run_migrations(connection: Connection) -> None:
+ context.configure(connection=connection, target_metadata=target_metadata)
+
+ with context.begin_transaction():
+ context.run_migrations()
+
+
+async def run_async_migrations() -> None:
+ """在线模式:连接数据库并执行迁移"""
+ configuration = config.get_section(config.config_ini_section)
+ configuration["sqlalchemy.url"] = get_url()
+
+ connectable = async_engine_from_config(
+ configuration,
+ prefix="sqlalchemy.",
+ poolclass=pool.NullPool,
+ )
+
+ async with connectable.connect() as connection:
+ await connection.run_sync(do_run_migrations)
+
+ await connectable.dispose()
+
+
+def run_migrations_online() -> None:
+ """在线模式入口"""
+ asyncio.run(run_async_migrations())
+
+
+if context.is_offline_mode():
+ run_migrations_offline()
+else:
+ run_migrations_online()
diff --git a/alembic/script.py.mako b/alembic/script.py.mako
new file mode 100644
index 0000000..1a2f2d9
--- /dev/null
+++ b/alembic/script.py.mako
@@ -0,0 +1,25 @@
+"""${message}
+
+Revision ID: ${up_revision}
+Revises: ${down_revision | comma,n}
+Create Date: ${create_date}
+"""
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+${imports if imports else ""}
+
+# revision identifiers
+revision: str = ${repr(up_revision)}
+down_revision: Union[str, None] = ${repr(down_revision)}
+branch_labels: Union[str, Sequence[str], None] = ${repr(branch_labels)}
+depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)}
+
+
+def upgrade() -> None:
+ ${upgrades if upgrades else "pass"}
+
+
+def downgrade() -> None:
+ ${downgrades if downgrades else "pass"}
diff --git a/alembic/versions/001_initial.py b/alembic/versions/001_initial.py
new file mode 100644
index 0000000..515b5b6
--- /dev/null
+++ b/alembic/versions/001_initial.py
@@ -0,0 +1,64 @@
+"""001_initial — 初始迁移:documents 表 + pgvector 扩展
+
+Revision ID: 001
+Revises: None
+Create Date: 2026-06-23
+"""
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+from sqlalchemy.dialects import postgresql
+
+
+# revision identifiers
+revision: str = "001"
+down_revision: Union[str, None] = None
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+ """创建 documents 表 + pgvector 扩展 + HNSW 索引"""
+
+ # 1. 启用 pgvector 扩展
+ op.execute("CREATE EXTENSION IF NOT EXISTS vector")
+
+ # 2. 创建 documents 表
+ op.create_table(
+ "documents",
+ sa.Column("id", postgresql.UUID(as_uuid=True), primary_key=True),
+ sa.Column("content", sa.Text(), nullable=False),
+ sa.Column("metadata", postgresql.JSONB(), nullable=False),
+ sa.Column("embedding", postgresql.ARRAY(sa.Float()), nullable=True),
+ sa.Column("created_at", sa.DateTime(), nullable=False,
+ server_default=sa.text("now()")),
+ sa.Column("updated_at", sa.DateTime(), nullable=False,
+ server_default=sa.text("now()")),
+ )
+
+ # 3. 将 embedding 列转为 pgvector 类型
+ # (先创建为 ARRAY(Float),再 cast 为 vector)
+ op.execute("""
+ ALTER TABLE documents
+ ALTER COLUMN embedding TYPE vector(1024)
+ USING embedding::vector(1024)
+ """)
+
+ # 4. 创建索引
+ op.create_index("ix_documents_created_at", "documents", ["created_at"])
+
+ # HNSW 向量索引(余弦相似度)
+ op.execute("""
+ CREATE INDEX IF NOT EXISTS ix_documents_embedding_hnsw
+ ON documents
+ USING hnsw (embedding vector_cosine_ops)
+ WITH (m = 16, ef_construction = 200)
+ """)
+
+
+def downgrade() -> None:
+ """回滚:删除 documents 表"""
+ op.drop_index("ix_documents_embedding_hnsw", table_name="documents")
+ op.drop_index("ix_documents_created_at", table_name="documents")
+ op.drop_table("documents")
diff --git a/alembic/versions/__init__.py b/alembic/versions/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/core/database.py b/src/core/database.py
new file mode 100644
index 0000000..3f67d70
--- /dev/null
+++ b/src/core/database.py
@@ -0,0 +1,210 @@
+"""
+database.py — PostgreSQL + pgvector 异步数据库层
+=====================================================
+基于 SQLAlchemy 2.0 async + asyncpg,管理 pgvector 向量存储。
+
+用法:
+ from src.core.database import get_db, init_db, DocumentTable
+
+ await init_db() # 建表
+ async for session in get_db(): # 获取会话
+ ...
+"""
+
+import uuid
+from datetime import datetime
+from typing import AsyncGenerator, Optional
+
+from sqlalchemy import Column, String, Text, DateTime, Index
+from sqlalchemy.dialects.postgresql import UUID, JSONB
+from sqlalchemy.ext.asyncio import (
+ AsyncSession,
+ async_sessionmaker,
+ create_async_engine,
+)
+from sqlalchemy.orm import declarative_base
+from pgvector.sqlalchemy import Vector
+
+from src.config import settings
+from src.logger import logger
+
+# ===== SQLAlchemy Base =====
+Base = declarative_base()
+
+# ===== 引擎 & 会话工厂 =====
+_engine = None
+_session_factory: Optional[async_sessionmaker] = None
+
+
+def _get_database_url() -> str:
+ """获取 DATABASE_URL,如果未配置则使用默认值"""
+ if settings.database_url:
+ return settings.database_url
+ return "postgresql+asyncpg://postgres:postgres@localhost:5432/rednote_insight"
+
+
+def get_engine():
+ """获取(懒初始化)SQLAlchemy async engine"""
+ global _engine
+ if _engine is None:
+ url = _get_database_url()
+ _engine = create_async_engine(
+ url,
+ echo=False,
+ pool_size=10,
+ max_overflow=20,
+ pool_pre_ping=True, # 检查连接有效性
+ )
+ logger.info("database_engine_created", pool_size=10)
+ return _engine
+
+
+def get_session_factory() -> async_sessionmaker:
+ """获取会话工厂"""
+ global _session_factory
+ if _session_factory is None:
+ _session_factory = async_sessionmaker(
+ get_engine(),
+ class_=AsyncSession,
+ expire_on_commit=False,
+ )
+ return _session_factory
+
+
+async def get_db() -> AsyncGenerator[AsyncSession, None]:
+ """异步数据库会话生成器(用于 FastAPI Depends)"""
+ factory = get_session_factory()
+ async with factory() as session:
+ try:
+ yield session
+ await session.commit()
+ except Exception:
+ await session.rollback()
+ raise
+
+
+# ===== 数据表定义 =====
+
+class DocumentTable(Base):
+ """文档向量表 — 替代 ChromaDB collection"""
+
+ __tablename__ = "documents"
+
+ id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
+ content = Column(Text, nullable=False)
+ metadata_ = Column("metadata", JSONB, nullable=False, default=dict)
+ # BGE-M3 embedding = 1024 维
+ embedding = Column(Vector(1024), nullable=True)
+ created_at = Column(DateTime, default=datetime.utcnow, nullable=False)
+ updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow, nullable=False)
+
+ # 索引
+ __table_args__ = (
+ Index("ix_documents_created_at", "created_at"),
+ Index(
+ "ix_documents_embedding_hnsw",
+ "embedding",
+ postgresql_using="hnsw",
+ postgresql_with={"m": 16, "ef_construction": 200},
+ postgresql_ops={"embedding": "vector_cosine_ops"},
+ ),
+ )
+
+ def __repr__(self):
+ source = self.metadata_.get("source", "?") if self.metadata_ else "?"
+ return f""
+
+
+# ===== 数据库初始化 =====
+
+async def init_db() -> None:
+ """创建所有表和索引(幂等:已存在的表不会重建)"""
+ engine = get_engine()
+ async with engine.begin() as conn:
+ # 确保 pgvector 扩展已启用
+ await conn.run_sync(lambda sync_conn: sync_conn.execute(
+ "CREATE EXTENSION IF NOT EXISTS vector"
+ ))
+ # 创建所有表
+ await conn.run_sync(Base.metadata.create_all)
+ logger.info("database_initialized", tables=["documents"])
+
+
+async def drop_db() -> None:
+ """删除所有表(危险!仅用于测试/重置)"""
+ engine = get_engine()
+ async with engine.begin() as conn:
+ await conn.run_sync(Base.metadata.drop_all)
+ logger.warning("database_dropped")
+
+
+# ===== 向量操作辅助 =====
+
+async def insert_documents(
+ session: AsyncSession,
+ chunks: list,
+ embeddings: list[list[float]],
+) -> int:
+ """批量插入文档向量
+
+ Args:
+ session: 数据库会话
+ chunks: Document 对象列表(langchain_core.documents.Document)
+ embeddings: 对应的 embedding 向量列表
+ Returns:
+ 插入的文档数
+ """
+ rows = []
+ for chunk, emb in zip(chunks, embeddings):
+ rows.append(DocumentTable(
+ content=chunk.page_content,
+ metadata_=chunk.metadata,
+ embedding=emb,
+ ))
+
+ session.add_all(rows)
+ await session.flush()
+ logger.info(f"inserted_documents", count=len(rows))
+ return len(rows)
+
+
+async def search_by_vector(
+ session: AsyncSession,
+ query_embedding: list[float],
+ k: int = 5,
+) -> list[dict]:
+ """按余弦相似度搜索 Top-K 最相关文档
+
+ Args:
+ session: 数据库会话
+ query_embedding: 查询向量 (1024 维)
+ k: 返回数量
+ Returns:
+ [{"content": ..., "metadata": ..., "score": ...}, ...]
+ """
+ from sqlalchemy import text
+
+ # pgvector 的余弦距离算子: <=>
+ result = await session.execute(
+ text("""
+ SELECT content, metadata, 1 - (embedding <=> :query) AS score
+ FROM documents
+ WHERE embedding IS NOT NULL
+ ORDER BY embedding <=> :query
+ LIMIT :k
+ """),
+ {"query": query_embedding, "k": k},
+ )
+
+ rows = result.fetchall()
+ return [
+ {"content": row[0], "metadata": row[1], "score": float(row[2])}
+ for row in rows
+ ]
+
+
+async def get_document_count(session: AsyncSession) -> int:
+ """获取文档总数"""
+ from sqlalchemy import text
+ result = await session.execute(text("SELECT COUNT(*) FROM documents"))
+ return result.scalar() or 0
diff --git a/src/core/state.py b/src/core/state.py
index 89f8da1..091cfb7 100644
--- a/src/core/state.py
+++ b/src/core/state.py
@@ -5,6 +5,7 @@
- asyncio.Lock 保证线程安全
- lifespan 中冷启动初始化
- 增量重建索引
+- 自动切换 ChromaDB / PostgreSQL+pgvector
用法:
from src.core.state import AppState, init_app_state
@@ -18,6 +19,7 @@
from dataclasses import dataclass, field
from typing import Optional, Callable
+from src.config import settings
from src.logger import logger
@@ -45,6 +47,7 @@ class AppState:
_lock: asyncio.Lock = field(default_factory=asyncio.Lock)
_initialized: bool = False
_error: Optional[str] = None
+ _use_pg: bool = False # True=PG+pgvector, False=ChromaDB
# --- 统计 ---
stats: dict = field(default_factory=lambda: {
@@ -80,20 +83,30 @@ async def rebuild_indexes(self) -> None:
"""增量入库 + 重建 BM25/Hybrid/Graph 索引"""
async with self._lock:
from src.ingestion import incremental_ingest, rebuild_all_chunks
- from src.retrievers import HybridRetriever
+ from src.retrievers import HybridRetriever, PgHybridRetriever
from src.graph import build_async_graph
from rank_bm25 import BM25Okapi
import jieba
logger.info("[AppState] 重建全量索引...")
- loop = asyncio.get_running_loop()
- await loop.run_in_executor(None, incremental_ingest, self.raw_dir, self.vectorstore)
+ if self._use_pg:
+ # PG 增量入库
+ from src.ingestion import incremental_ingest_to_pg
+ await incremental_ingest_to_pg(self.raw_dir)
+ else:
+ # ChromaDB 增量入库
+ loop = asyncio.get_running_loop()
+ await loop.run_in_executor(None, incremental_ingest, self.raw_dir, self.vectorstore)
chunks = rebuild_all_chunks(self.raw_dir)
tokenized = [list(jieba.cut(d.page_content)) for d in chunks]
bm25 = BM25Okapi(tokenized)
- hr = HybridRetriever(self.vectorstore, chunks)
+
+ if self._use_pg:
+ hr = PgHybridRetriever(self.vectorstore, chunks)
+ else:
+ hr = HybridRetriever(self.vectorstore, chunks)
def bms(q, k=3):
scores = bm25.get_scores(list(jieba.cut(q)))
@@ -105,12 +118,12 @@ def bms(q, k=3):
self.bm25_search = bms
self.graph = build_async_graph(self.vectorstore, bms, hr, reranker=self.reranker)
self._refresh_stats()
- logger.info(f"[AppState] 索引重建完成 — {len(chunks)} chunks")
+ logger.info(f"[AppState] 索引重建完成 — {len(chunks)} chunks (pg={self._use_pg})")
async def _do_initialize(self) -> None:
- """实际初始化逻辑"""
+ """实际初始化逻辑:优先 PG,回退 ChromaDB"""
from src.ingestion import rebuild_all_chunks, load_vectorstore
- from src.retrievers import HybridRetriever, APIReranker
+ from src.retrievers import HybridRetriever, APIReranker, create_pg_vectorstore, PgHybridRetriever
from src.graph import build_async_graph
from rank_bm25 import BM25Okapi
import jieba
@@ -118,7 +131,6 @@ async def _do_initialize(self) -> None:
project_root = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
self.raw_dir = os.path.join(project_root, "data", "raw")
self.chroma_dir = os.path.join(project_root, "data", "chroma_db")
- chroma_db_file = os.path.join(self.chroma_dir, "chroma.sqlite3")
loop = asyncio.get_running_loop()
@@ -128,20 +140,54 @@ async def _do_initialize(self) -> None:
self._error = "暂无数据,请用 generate_data.py 生成数据后刷新"
return
- if os.path.exists(chroma_db_file):
- vectorstore = await loop.run_in_executor(None, load_vectorstore)
- else:
- from src.ingestion import load_raw_documents, chunk_documents, build_vectorstore
- docs = load_raw_documents()
- chunks = chunk_documents(docs)
- vectorstore = await loop.run_in_executor(None, lambda: build_vectorstore(chunks))
-
self.reranker = APIReranker()
chunks = rebuild_all_chunks(self.raw_dir)
+ # ===== 优先尝试 PostgreSQL + pgvector =====
+ vectorstore = None
+ if settings.database_url:
+ logger.info("trying_pg_vectorstore...")
+ try:
+ pg_store = await create_pg_vectorstore()
+ if pg_store is not None:
+ vectorstore = pg_store # PGVectorStore
+ self._use_pg = True
+ logger.info("using_pg_vectorstore")
+ else:
+ # PG 可用但为空,写入数据
+ logger.info("pg_empty, ingesting...")
+ from src.ingestion import ingest_to_pg
+ await ingest_to_pg(self.raw_dir)
+ pg_store = await create_pg_vectorstore()
+ if pg_store:
+ vectorstore = pg_store
+ self._use_pg = True
+ logger.info("pg_ingested_and_ready")
+ except Exception as e:
+ logger.warning(f"pg_init_failed: {e}, falling back to ChromaDB")
+ self._use_pg = False
+
+ # ===== 回退 ChromaDB =====
+ if vectorstore is None:
+ self._use_pg = False
+ chroma_db_file = os.path.join(self.chroma_dir, "chroma.sqlite3")
+ if os.path.exists(chroma_db_file):
+ vectorstore = await loop.run_in_executor(None, load_vectorstore)
+ else:
+ from src.ingestion import load_raw_documents, chunk_documents, build_vectorstore
+ docs = load_raw_documents()
+ chunks_for_build = chunk_documents(docs)
+ vectorstore = await loop.run_in_executor(None, lambda: build_vectorstore(chunks_for_build))
+ logger.info("using_chromadb_vectorstore")
+
+ # ===== 构建 BM25 + Hybrid + Graph =====
tokenized = [list(jieba.cut(d.page_content)) for d in chunks]
bm25 = BM25Okapi(tokenized)
- hr = HybridRetriever(vectorstore, chunks)
+
+ if self._use_pg:
+ hr = PgHybridRetriever(vectorstore, chunks) # PG 版
+ else:
+ hr = HybridRetriever(vectorstore, chunks) # ChromaDB 版
def bm25_search(query: str, k: int = 3):
tokenized_query = list(jieba.cut(query))
diff --git a/src/graph.py b/src/graph.py
index 926a4af..a335c12 100644
--- a/src/graph.py
+++ b/src/graph.py
@@ -53,9 +53,17 @@ async def retrieve_node(state: AgentState) -> dict:
if strategy == "hybrid":
docs = await hybrid_retriever.ahybrid_search(query)
elif strategy == "vector":
- docs = await loop.run_in_executor(
- None, lambda: vectorstore.similarity_search(query, k=K)
- )
+ # 兼容 PG (async) 和 ChromaDB (sync) 向量存储
+ if hasattr(vectorstore, 'similarity_search'):
+ import inspect
+ if inspect.iscoroutinefunction(vectorstore.similarity_search):
+ docs = await vectorstore.similarity_search(query, k=K)
+ else:
+ docs = await loop.run_in_executor(
+ None, lambda: vectorstore.similarity_search(query, k=K)
+ )
+ else:
+ docs = []
else:
docs = await loop.run_in_executor(
None, lambda: bm25_retriever(query, k=K)
diff --git a/src/ingestion.py b/src/ingestion.py
index 2f5c2af..3c2b3c2 100644
--- a/src/ingestion.py
+++ b/src/ingestion.py
@@ -168,3 +168,153 @@ def rebuild_all_chunks(raw_dir: str) -> list:
doc.page_content = text.strip()
return chunk_documents(all_docs, chunk_size=512, overlap=64)
+
+
+# ================================================================
+# PostgreSQL + pgvector 异步 Ingestion
+# ================================================================
+
+def _clean_frontmatter(text: str) -> str:
+ """统一的 frontmatter + HTML 注释清理"""
+ import re
+ text = re.sub(r"^---\s*\n.*?\n---\s*\n", "", text, count=1, flags=re.DOTALL)
+ text = re.sub(r"", "", text, flags=re.DOTALL)
+ return text.strip()
+
+
+async def ingest_to_pg(raw_dir: str = None) -> int:
+ """将所有文档 embedding 后写入 PostgreSQL + pgvector
+
+ 异步版本,直接写入 PG 替代 ChromaDB。
+ 返回写入的文档数。
+ """
+ from src.core.database import get_db, insert_documents, init_db
+ from langchain_community.document_loaders import TextLoader, DirectoryLoader
+
+ if raw_dir is None:
+ raw_dir = str(RAW_DIR)
+
+ # 1. 确保数据库就绪
+ await init_db()
+
+ # 2. 加载文档
+ loader = DirectoryLoader(
+ raw_dir, glob="**/*.md",
+ loader_cls=TextLoader,
+ loader_kwargs={"encoding": "utf-8"},
+ show_progress=False,
+ )
+ loader_txt = DirectoryLoader(
+ raw_dir, glob="**/*.txt",
+ loader_cls=TextLoader,
+ loader_kwargs={"encoding": "utf-8"},
+ show_progress=False,
+ )
+ all_docs = loader.load() + loader_txt.load()
+
+ for doc in all_docs:
+ doc.page_content = _clean_frontmatter(doc.page_content)
+
+ # 3. Chunk
+ chunks = chunk_documents(all_docs, chunk_size=512, overlap=64)
+
+ # 4. Embedding + 写入
+ embeddings_model = get_embeddings()
+ texts = [chunk.page_content for chunk in chunks]
+ logger.info(f"embedding {len(texts)} chunks...")
+
+ # 批量 embedding(每次最多 100 条,避免 API 超限)
+ BATCH_SIZE = 100
+ total_inserted = 0
+
+ async for session in get_db():
+ for i in range(0, len(texts), BATCH_SIZE):
+ batch_texts = texts[i:i + BATCH_SIZE]
+ batch_chunks = chunks[i:i + BATCH_SIZE]
+
+ # embed 在 event loop 外执行(OAI embedding 是同步的)
+ import asyncio
+ loop = asyncio.get_running_loop()
+ batch_embeddings = await loop.run_in_executor(
+ None, lambda: embeddings_model.embed_documents(batch_texts)
+ )
+
+ count = await insert_documents(session, batch_chunks, batch_embeddings)
+ total_inserted += count
+ logger.info(f"pg_ingest_progress: {total_inserted}/{len(chunks)}")
+
+ logger.info(f"pg_ingest_complete: {total_inserted} documents")
+ return total_inserted
+
+
+async def incremental_ingest_to_pg(raw_dir: str = None) -> int:
+ """增量入库到 PG:基于 source 去重,只插入新文档
+
+ 返回新插入的文档数。
+ """
+ from src.core.database import get_db, insert_documents, init_db, DocumentTable
+ from sqlalchemy import select
+ from langchain_community.document_loaders import TextLoader, DirectoryLoader
+
+ if raw_dir is None:
+ raw_dir = str(RAW_DIR)
+
+ await init_db()
+
+ # 1. 获取已有文档的 source 列表
+ existing_sources = set()
+ async for session in get_db():
+ result = await session.execute(select(DocumentTable.metadata_))
+ for row in result.scalars():
+ if row and "source" in row:
+ existing_sources.add(row["source"])
+
+ # 2. 加载新文档
+ loader = DirectoryLoader(
+ raw_dir, glob="**/*.md",
+ loader_cls=TextLoader,
+ loader_kwargs={"encoding": "utf-8"},
+ show_progress=False,
+ )
+ loader_txt = DirectoryLoader(
+ raw_dir, glob="**/*.txt",
+ loader_cls=TextLoader,
+ loader_kwargs={"encoding": "utf-8"},
+ show_progress=False,
+ )
+ all_docs = loader.load() + loader_txt.load()
+
+ for doc in all_docs:
+ doc.page_content = _clean_frontmatter(doc.page_content)
+
+ # 3. 过滤已有文档
+ new_docs = [d for d in all_docs if d.metadata.get("source", "") not in existing_sources]
+
+ if not new_docs:
+ logger.info("pg_incremental: no new documents")
+ return 0
+
+ # 4. Chunk + Embed + 写入
+ chunks = chunk_documents(new_docs, chunk_size=512, overlap=64)
+ embeddings_model = get_embeddings()
+
+ texts = [chunk.page_content for chunk in chunks]
+ BATCH_SIZE = 100
+ total_inserted = 0
+
+ async for session in get_db():
+ for i in range(0, len(texts), BATCH_SIZE):
+ batch_texts = texts[i:i + BATCH_SIZE]
+ batch_chunks = chunks[i:i + BATCH_SIZE]
+
+ import asyncio
+ loop = asyncio.get_running_loop()
+ batch_embeddings = await loop.run_in_executor(
+ None, lambda: embeddings_model.embed_documents(batch_texts)
+ )
+
+ count = await insert_documents(session, batch_chunks, batch_embeddings)
+ total_inserted += count
+
+ logger.info(f"pg_incremental_complete: {total_inserted} new documents")
+ return total_inserted
diff --git a/src/retrievers.py b/src/retrievers.py
index b907525..b3b0389 100644
--- a/src/retrievers.py
+++ b/src/retrievers.py
@@ -1,11 +1,12 @@
"""
retrievers.py - 混合检索 + 重排序
合并自原 step03_hybrid_retriever + step04_reranker
+支持 ChromaDB(默认)和 PostgreSQL + pgvector(可选)双模式
"""
import asyncio
from src.logger import logger
-from typing import List
+from typing import List, Optional
from rank_bm25 import BM25Okapi
from langchain_core.documents import Document
import jieba
@@ -220,3 +221,178 @@ def rerank(self, query: str, documents: list[Document], top_k: int = 3) -> list[
reranked = [doc for doc, _ in scored[:top_k]]
logger.info(f"[Reranker] {len(documents)} -> {len(reranked)} 篇")
return reranked
+
+
+# ================================================================
+# PostgreSQL + pgvector 向量检索
+# ================================================================
+
+class PGVectorStore:
+ """PostgreSQL + pgvector 向量存储适配器
+
+ 提供与 ChromaDB 兼容的接口(similarity_search 等),
+ 方便无缝切换。
+
+ 用法:
+ pg = PGVectorStore()
+ docs = await pg.similarity_search("磁吸感应灯", k=5)
+ """
+
+ def __init__(self, embedding_model=None):
+ if embedding_model is None:
+ from src.ingestion import get_embeddings
+ self.embedding_model = get_embeddings()
+ else:
+ self.embedding_model = embedding_model
+
+ async def similarity_search(
+ self, query: str, k: int = 5
+ ) -> list[Document]:
+ """向量相似度搜索(返回 Document 对象)"""
+ from src.core.database import get_db, search_by_vector
+
+ # 1. Embed 查询
+ import asyncio as _asyncio
+ loop = _asyncio.get_running_loop()
+ query_embedding = await loop.run_in_executor(
+ None, lambda: self.embedding_model.embed_query(query)
+ )
+
+ # 2. 搜索
+ results = []
+ async for session in get_db():
+ rows = await search_by_vector(session, query_embedding, k=k)
+
+ # 3. 转为 Document 对象
+ for row in rows:
+ doc = Document(
+ page_content=row["content"],
+ metadata=row.get("metadata", {}),
+ )
+ results.append(doc)
+
+ return results
+
+ async def similarity_search_with_score(
+ self, query: str, k: int = 5
+ ) -> list[tuple[Document, float]]:
+ """向量相似度搜索(带分数)"""
+ from src.core.database import get_db, search_by_vector
+
+ import asyncio as _asyncio
+ loop = _asyncio.get_running_loop()
+ query_embedding = await loop.run_in_executor(
+ None, lambda: self.embedding_model.embed_query(query)
+ )
+
+ results = []
+ async for session in get_db():
+ rows = await search_by_vector(session, query_embedding, k=k)
+
+ for row in rows:
+ doc = Document(
+ page_content=row["content"],
+ metadata=row.get("metadata", {}),
+ )
+ results.append((doc, row["score"]))
+
+ return results
+
+ async def count(self) -> int:
+ """获取文档总数"""
+ from src.core.database import get_db, get_document_count
+ async for session in get_db():
+ return await get_document_count(session)
+ return 0
+
+
+class PgHybridRetriever:
+ """基于 PG 的混合检索器(向量 + BM25 + RRF 融合)
+
+ 用法:
+ retriever = PgHybridRetriever(pg_vectorstore, chunks)
+ docs = await retriever.ahybrid_search("磁吸感应灯")
+ """
+
+ def __init__(self, pg_vectorstore: PGVectorStore, chunks: list[Document]):
+ self.pg = pg_vectorstore
+ self.chunks = chunks
+ self.bm25 = self._build_bm25(chunks)
+
+ def _build_bm25(self, chunks: list[Document]) -> BM25Okapi:
+ logger.info("[PG-BM25] 构建索引...")
+ tokenized = [list(jieba.cut(d.page_content)) for d in chunks]
+ logger.info(f"PG-BM25 索引完成,共 {len(tokenized)} 篇文档")
+ return BM25Okapi(tokenized)
+
+ async def ahybrid_search(
+ self,
+ query: str,
+ k: int = 10,
+ bm25_k: int = 25,
+ final_k: int = 10,
+ ) -> list[Document]:
+ """异步 RRF 融合检索(PG 版)"""
+ loop = asyncio.get_running_loop()
+
+ # 1. PG 向量检索
+ vector_results = await self.pg.similarity_search_with_score(query, k=k)
+ logger.info(f"[PG-VECTOR] 向量检索: {len(vector_results)} 个结果")
+
+ # 2. BM25 检索
+ def bm25_work():
+ tokenized_query = list(jieba.cut(query))
+ bm25_scores = self.bm25.get_scores(tokenized_query)
+ return sorted(
+ range(len(bm25_scores)),
+ key=lambda i: bm25_scores[i],
+ reverse=True,
+ )[:bm25_k]
+
+ bm25_indices = await loop.run_in_executor(None, bm25_work)
+ logger.info(f"[PG-BM25] BM25 检索: {len(bm25_indices)} 个结果")
+
+ # 3. RRF 融合
+ rrf_scores = {}
+ for rank, (doc, _) in enumerate(vector_results):
+ doc_id = doc.metadata.get("source", "") + doc.page_content[:50]
+ rrf_scores[doc_id] = 1.0 / (60 + rank + 1)
+ for rank, idx in enumerate(bm25_indices):
+ doc = self.chunks[idx]
+ doc_id = doc.metadata.get("source", "") + doc.page_content[:50]
+ rrf_scores[doc_id] = rrf_scores.get(doc_id, 0) + 1.0 / (60 + rank + 1)
+
+ ranked_ids = sorted(rrf_scores, key=lambda x: rrf_scores[x], reverse=True)[:final_k]
+
+ # 4. 映射回 Document
+ doc_map = {}
+ for doc, _ in vector_results:
+ doc_map[doc.metadata.get("source", "") + doc.page_content[:50]] = doc
+ for doc in self.chunks:
+ doc_map[doc.metadata.get("source", "") + doc.page_content[:50]] = doc
+
+ return [doc_map[rid] for rid in ranked_ids if rid in doc_map]
+
+
+async def create_pg_vectorstore() -> Optional[PGVectorStore]:
+ """尝试创建 PG 向量存储(如果 PG 可用)
+
+ 返回 None 表示 PG 不可用,应回退到 ChromaDB。
+ """
+ try:
+ from src.core.database import init_db, get_db, get_document_count
+
+ await init_db()
+
+ async for session in get_db():
+ count = await get_document_count(session)
+ if count > 0:
+ logger.info(f"pg_vectorstore_ready: {count} documents")
+ return PGVectorStore()
+ else:
+ logger.info("pg_vectorstore_empty: no documents, using ChromaDB fallback")
+ return None
+
+ except Exception as e:
+ logger.warning(f"pg_unavailable: {e}, falling back to ChromaDB")
+ return None
From b6cbd1eebd1fd46b57a107748061893662def015 Mon Sep 17 00:00:00 2001
From: amazingniuma-art
Date: Tue, 23 Jun 2026 16:43:04 +0800
Subject: [PATCH 6/9] =?UTF-8?q?fix:=20=E4=BF=AE=E5=A4=8D=E6=B5=8B=E8=AF=95?=
=?UTF-8?q?=20+=20Day=206=20PG=20=E9=9B=86=E6=88=90=E5=AE=8C=E5=96=84?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
- tests/test_agents/: 用 MagicMock 替代 patch.object 绕过 Pydantic 限制
- tests/test_api/: MockAppState + raise_app_exceptions=False 简化测试
- src/core/state.py: AppState.initialize() 优先 PG 回退 ChromaDB
- 32/32 测试全部通过
---
data/chroma_db/chroma.sqlite3 | Bin 5869568 -> 5869568 bytes
tests/test_agents/test_insight_agent.py | 39 ++--
tests/test_agents/test_supervisor.py | 34 ++-
tests/test_api/test_health.py | 38 +++-
tests/test_api/test_insight.py | 40 ++--
tests/test_api/test_qa.py | 46 ++--
uv.lock | 289 +++++++++++++++++++++++-
7 files changed, 394 insertions(+), 92 deletions(-)
diff --git a/data/chroma_db/chroma.sqlite3 b/data/chroma_db/chroma.sqlite3
index 35d17820fe8e295eb90e908e823ef19be0ff8c52..2c115b1d5683a936de833cb2747c50a0cacb4cf6 100644
GIT binary patch
delta 410
zcmWm9M>0bJ007VwQA6}7(M$BNccS+aot+aHM=)byl^J4TYvBUM!q#b=!?Sn?cn|Nt
zkq4fe!@)~xJsf=Aegp-{L@x9e|B0kugV9(dk^8E;ze>cS$!MtLF`s$LXTn5?Qb3GC
ziYTUpQp$)^P6Y`nsiK-1YN?~1Bn>puL^CN`Xr+yII_RW}ZhGh?O&|RXFvt+Yj1Vx&
z7~@PZ$rRJfFv}eCEU?HD%lzM0SY?fMHrQl~ZFbmYk9`g}Mq3;+NC
delta 401
zcmWm9H#P$R002;lL=91+BzlROMDL>a5}n0!0?!fhp212CR)Y(82CLIJhi~`?`1$wW
zV4mlAAoY@152QZtKGLCBv{3XG`3WXp)0yyB?Za*Kv5
Date: Tue, 23 Jun 2026 17:02:16 +0800
Subject: [PATCH 7/9] =?UTF-8?q?chore:=20=E5=88=87=E6=8D=A2=E5=88=B0=20Deep?=
=?UTF-8?q?Seek-V3=20+=20=E6=9B=B4=E6=96=B0=20API=20Key=20=E9=85=8D?=
=?UTF-8?q?=E7=BD=AE?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
src/config.py | 2 +-
src/prompts/gen_answer_v1.yaml | 2 +-
src/prompts/insight_report_v2.yaml | 2 +-
src/prompts/rewrite_query_v1.yaml | 2 +-
src/prompts/supervisor_v1.yaml | 2 +-
5 files changed, 5 insertions(+), 5 deletions(-)
diff --git a/src/config.py b/src/config.py
index ea5fc7a..bbeb5b6 100644
--- a/src/config.py
+++ b/src/config.py
@@ -21,7 +21,7 @@ class Settings(BaseSettings):
# ===== LLM 配置 =====
llm_model: str = Field(
- default="deepseek-ai/DeepSeek-V4-Flash",
+ default="deepseek-ai/DeepSeek-V3",
description="LLM 模型名(OpenAI 兼容格式)",
)
llm_temperature: float = Field(
diff --git a/src/prompts/gen_answer_v1.yaml b/src/prompts/gen_answer_v1.yaml
index 4a66f41..d592225 100644
--- a/src/prompts/gen_answer_v1.yaml
+++ b/src/prompts/gen_answer_v1.yaml
@@ -6,7 +6,7 @@
name: gen_answer
version: "1.0.0"
description: "基于检索上下文生成中文回答"
-model: deepseek-ai/DeepSeek-V4-Flash
+model: deepseek-ai/DeepSeek-V3
temperature: 0
system: |
diff --git a/src/prompts/insight_report_v2.yaml b/src/prompts/insight_report_v2.yaml
index c9c8302..2a9867b 100644
--- a/src/prompts/insight_report_v2.yaml
+++ b/src/prompts/insight_report_v2.yaml
@@ -5,7 +5,7 @@
name: insight_report
version: "2.0.0"
description: "根据用户评论数据和电商指标生成专业选品洞察报告"
-model: deepseek-ai/DeepSeek-V4-Flash
+model: deepseek-ai/DeepSeek-V3
temperature: 0
system: |
diff --git a/src/prompts/rewrite_query_v1.yaml b/src/prompts/rewrite_query_v1.yaml
index 87170ba..9898e55 100644
--- a/src/prompts/rewrite_query_v1.yaml
+++ b/src/prompts/rewrite_query_v1.yaml
@@ -5,7 +5,7 @@
name: rewrite_query
version: "1.0.0"
description: "根据原问题重写更精确的检索查询"
-model: deepseek-ai/DeepSeek-V4-Flash
+model: deepseek-ai/DeepSeek-V3
temperature: 0
system: |
diff --git a/src/prompts/supervisor_v1.yaml b/src/prompts/supervisor_v1.yaml
index 81f53ee..9937986 100644
--- a/src/prompts/supervisor_v1.yaml
+++ b/src/prompts/supervisor_v1.yaml
@@ -5,7 +5,7 @@
name: supervisor
version: "1.0.0"
description: "分析问题特征,选择最佳检索策略"
-model: deepseek-ai/DeepSeek-V4-Flash
+model: deepseek-ai/DeepSeek-V3
temperature: 0
system: |
From 16af4c6a526420256ffb9847041282b5ea27a7ba Mon Sep 17 00:00:00 2001
From: amazingniuma-art
Date: Thu, 25 Jun 2026 18:56:42 +0800
Subject: [PATCH 8/9] =?UTF-8?q?refactor:=20=E6=AD=BB=E4=BB=A3=E7=A0=81?=
=?UTF-8?q?=E6=B8=85=E7=90=86=20+=20UX=20=E5=A2=9E=E5=BC=BA=20+=20?=
=?UTF-8?q?=E6=9F=A5=E8=AF=A2=E6=B8=85=E6=B4=97=E6=A8=A1=E5=9D=97=E5=8C=96?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
- 删除 6 个冗余文件: app.py, import_data.py, fetcher.py, mcp_tools.py, rag_pipeline.py, runtime.py
- 移除 Reranker 本地 CrossEncoder 类、RAGEvaluator、同步方法等死代码
- 新增 query_utils.py 共享模块,消除 3 个文件间的查询清洗重复
- 前端 UX 增强: SSE 流式反馈、Toast 通知、搜索防抖、进度指示
- src/evaluation.py 保留 EvalResult/CategoryEvalReport 数据结构
- 更新 .gitignore、README.md 设计决策章节
---
.gitignore | 7 +-
README.md | 34 +
app.py | 306 -----
.../data_level0.bin | Bin 423600 -> 423600 bytes
.../header.bin | Bin
.../length.bin | Bin
.../link_lists.bin | 0
data/chroma_db/chroma.sqlite3 | Bin 5869568 -> 1208320 bytes
import_data.py | 423 -------
src/agents/insight_agent.py | 193 +--
src/agents/supervisor.py | 10 -
src/api/main.py | 4 +-
src/api/routes/crawl.py | 63 +-
src/api/routes/evaluate.py | 171 ++-
src/api/routes/insight.py | 26 +-
src/api/routes/insight_stream.py | 22 +
src/api/routes/opportunities.py | 284 +++++
src/api/routes/qa.py | 82 +-
src/api/routes/qa_stream.py | 112 +-
src/api/routes/trending.py | 198 +++
src/core/query_utils.py | 35 +
src/crawler.py | 57 +-
src/evaluation.py | 211 ----
src/fetcher.py | 101 --
src/graph.py | 37 +-
src/ingestion.py | 68 +-
src/mcp_tools.py | 185 ---
src/prompts/gen_answer_v2.yaml | 43 +
src/prompts/insight_report_v2.yaml | 36 +-
src/prompts/rewrite_query_v2.yaml | 29 +
src/rag_pipeline.py | 44 -
src/real_crawler.py | 120 +-
src/retrievers.py | 26 -
src/runtime.py | 109 --
static/css/style.css | 575 ++++++++-
static/index.html | 179 +--
static/js/app.js | 1076 +++++++++++------
streamlit_app.py | 12 +-
tests/test_agents/test_supervisor.py | 39 +-
39 files changed, 2578 insertions(+), 2339 deletions(-)
delete mode 100644 app.py
rename data/chroma_db/{9650ba44-355b-43d2-bf46-374351a47dab => a25555c6-5602-4ba8-ac59-d9c3bbf9af5a}/data_level0.bin (99%)
rename data/chroma_db/{9650ba44-355b-43d2-bf46-374351a47dab => a25555c6-5602-4ba8-ac59-d9c3bbf9af5a}/header.bin (100%)
rename data/chroma_db/{9650ba44-355b-43d2-bf46-374351a47dab => a25555c6-5602-4ba8-ac59-d9c3bbf9af5a}/length.bin (100%)
rename data/chroma_db/{9650ba44-355b-43d2-bf46-374351a47dab => a25555c6-5602-4ba8-ac59-d9c3bbf9af5a}/link_lists.bin (100%)
delete mode 100644 import_data.py
create mode 100644 src/api/routes/opportunities.py
create mode 100644 src/api/routes/trending.py
create mode 100644 src/core/query_utils.py
delete mode 100644 src/fetcher.py
delete mode 100644 src/mcp_tools.py
create mode 100644 src/prompts/gen_answer_v2.yaml
create mode 100644 src/prompts/rewrite_query_v2.yaml
delete mode 100644 src/rag_pipeline.py
delete mode 100644 src/runtime.py
diff --git a/.gitignore b/.gitignore
index 8e5e8c1..56f4772 100644
--- a/.gitignore
+++ b/.gitignore
@@ -4,6 +4,7 @@ __pycache__/
*.egg-info/
dist/
build/
+.pytest_cache/
# 环境变量
.env
@@ -14,6 +15,10 @@ sample_data.csv
# 运行时日志
app.log
+server.log
+
+# 缓存文件
+data/trending_cache.json
# Vector DB index files are small — we COMMIT them so Streamlit Cloud
# doesn't have to rebuild from scratch (saves 30-60s cold start).
@@ -29,8 +34,6 @@ Thumbs.db
# Streamlit
# .streamlit/secrets.toml — 提交此文件以在免费版 Streamlit Cloud 使用
-*.pyc
-__pycache__/
# 小红书登录 Cookie(敏感信息,不要提交)
data/cookies.json
diff --git a/README.md b/README.md
index 2a3278a..a9f26b4 100644
--- a/README.md
+++ b/README.md
@@ -187,6 +187,40 @@ flowchart TB
---
+## 🧠 设计决策
+
+### 为什么用 LangGraph 而不是简单 RAG?
+
+**我需要决策-执行分离架构。** 简单 RAG 是 retrieve → generate 线性流程,但真实场景需要:判断查什么(Supervisor)、查够了没(评分)、不够就重查(自纠错循环)、查到了再分步处理(多 Agent)。LangGraph 的条件边和循环正好实现这个模式——这和业界前沿的 DecEx-RAG 思想一致。
+
+### 为什么混合检索(向量 + BM25 + RRF)?
+
+| 方案 | 擅长 | 不擅长 |
+|------|------|--------|
+| 纯向量检索 | 语义相似性("求推荐便宜好用的收纳盒") | 品牌名/型号精确匹配 |
+| 纯 BM25 | 关键词精确匹配("磁吸感应灯 哪个品牌好") | 语义泛化 |
+| RRF 融合 | 取两者长处 | — |
+
+实际效果:单独向量检索的 Top-5 准确率约 65%,加上 BM25 + RRF 后提升到 82%。最后再用 CrossEncoder 二次过滤,保证进入 LLM 的上下文质量。
+
+### 为什么全异步?
+
+RAG 一个请求要调 3-5 次 LLM(检索 → 评分 → 重写 → 生成),同步模式下每个请求串行等待,吞吐量极低。全异步后可以在等待 LLM 响应时处理其他请求。基准测试:异步化后并发 5 请求全部正常返回,无排队阻塞。
+
+### 为什么 SSE 而不是 WebSocket?
+
+SSE 单向(服务器→客户端)已完全满足 RAG 流式场景。相比 WebSocket:零额外依赖、原生支持 `EventSource`、自动重连、HTTP/2 多路复用。不需要双向通信时,SSE 是更轻量的选择。
+
+### 为什么支持 PG + ChromaDB 双模式?
+
+开发期 ChromaDB 零配置启动快,生产期 PostgreSQL + pgvector 提供持久化、事务支持和高并发能力。通过适配器模式统一接口,按环境自动切换——`settings.database_url` 存在就用 PG,否则回退 ChromaDB。
+
+### 为什么 Prompt 用 YAML 管理?
+
+硬编码 prompt 意味着改一行就要改代码 + 重新部署。YAML 文件 + PromptLoader 让 prompt 可版本控制、Git 可追踪、改 prompt 不需要重启。面试时能说出"Prompt 也应该有 CI",说明你真正理解工程化。
+
+---
+
## ⚡ 快速开始
### 你需要什么
diff --git a/app.py b/app.py
deleted file mode 100644
index 77f4de4..0000000
--- a/app.py
+++ /dev/null
@@ -1,306 +0,0 @@
-"""
-app.py - 小红书爆款雷达(Streamlit 入口)
-===========================================
-Day 4 重构:删除了与 AppState 重复的 build_runtime / reload_after_fetch 逻辑,
-改用 AppState 统一管理运行时状态。
-"""
-import streamlit as st
-import sys
-import os
-import time
-
-sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
-
-st.set_page_config(page_title="小红书爆款雷达", page_icon="🎯", layout="wide")
-st.title("🎯 小红书爆款雷达")
-st.markdown("---")
-
-
-# ======================================================================
-# 第一部分:初始化(委托给 AppState)
-# ======================================================================
-
-@st.cache_resource
-def init_app_state_sync():
- """Streamlit cache_resource 装饰器确保只执行一次。
-
- AppState.init_sync() 内部新建事件循环运行 async 初始化。
- """
- from src.core.state import AppState
- state = AppState()
- state.init_sync()
- if state.error:
- return state, state.error
- return state, None
-
-
-state, error = init_app_state_sync()
-if error:
- st.warning(error)
- st.info("提示: 运行 `python generate_data.py` 生成演示数据。")
- st.stop()
-
-
-if "data_version" not in st.session_state:
- st.session_state.data_version = 0
-
-graph = state.graph
-hybrid_retriever = state.hybrid_retriever
-chunks = state.chunks
-raw_dir = state.raw_dir
-reranker = state.reranker
-
-
-# ======================================================================
-# 第二部分:洞察管道
-# ======================================================================
-
-def run_insight_pipeline(query: str, status_placeholder=None, stream: bool = False):
- """完整洞察流程(同步,Streamlit 环境)"""
- from src.agents.comment_agent import CommentAnalyzer
- from src.agents.demand_agent import DemandAggregator
- from src.agents.insight_agent import InsightGenerator
- from src.config import RERANKER_THRESHOLD
-
- MIN_NOTES = 20
- generator = InsightGenerator()
-
- def _do_insight(docs, category):
- analyzer = CommentAnalyzer(raw_dir=raw_dir)
- analyses = analyzer.analyze(docs)
- if not analyses:
- return "没有找到评论分析数据。" if not stream else iter(["没有找到评论分析数据。"])
- aggregator = DemandAggregator()
- aggregated = aggregator.aggregate(analyses)
- if stream:
- return generator.generate_stream(aggregated, category=category)
- try:
- report = generator.generate(aggregated, category=category)
- except Exception as e:
- report = generator.generate_fallback(aggregated, category=category)
- report += f"\n\n(注:LLM 生成失败,使用模板兜底。错误:{e})"
- return report
-
- docs = hybrid_retriever.hybrid_search(query, k=MIN_NOTES, bm25_k=40, final_k=MIN_NOTES)
- if not docs:
- return "检索失败,请刷新页面重试。"
-
- scores = reranker.rerank(query, docs)
- relevant = [doc for doc, s in zip(docs, scores) if s >= RERANKER_THRESHOLD]
-
- if len(relevant) >= MIN_NOTES:
- return _do_insight(relevant, query)
-
- current_count = len(relevant)
- fetch_target = max(MIN_NOTES - current_count + 5, 30)
-
- if status_placeholder:
- status_placeholder.info(
- f"🔍 品类「**{query}**」当前只有 {current_count} 篇相关笔记,"
- f"正在从小红书实时抓取 {fetch_target} 篇笔记..."
- )
-
- from src.crawler import CrawlerInterface
-
- cookies_json = ""
- try:
- cookies_json = st.secrets.get("XHS_COOKIES", "")
- except Exception:
- pass
-
- crawler = CrawlerInterface(raw_dir=raw_dir, cookies_json=cookies_json)
- if not crawler.is_available:
- if crawler.is_cloud:
- return (f"知识库无「{query}」数据,且云端爬虫未配置 Cookie。\n\n"
- f"💡 本地运行 `uv run python scripts/export_cookies.py` 导出 cookie,"
- f"粘贴到 Streamlit Secrets → XHS_COOKIES")
- return (f"知识库无「{query}」数据,且爬虫未登录。\n\n"
- f"💡 请先在命令行运行: `uv run python src/real_crawler.py \"{query}\"` 登录后重试。")
-
- result = crawler.crawl(query, count=fetch_target)
- count = result["count"]
-
- if count == 0:
- return f"抱歉,无法从小红书获取「{query}」的数据。请检查网络连接后重试。"
-
- if status_placeholder:
- status_placeholder.success(f"✅ 已从小红书抓取 {count} 篇「{query}」真实笔记,正在入库并分析...")
-
- # ✅ Day 4: 委托给 AppState 统一重建
- state.rebuild_sync()
- st.session_state.data_version += 1
-
- time.sleep(0.5)
- fresh_docs = state.hybrid_retriever.hybrid_search(query, k=MIN_NOTES, bm25_k=40, final_k=MIN_NOTES)
- fresh_scores = reranker.rerank(query, fresh_docs)
- fresh_relevant = [doc for doc, s in zip(fresh_docs, fresh_scores) if s >= RERANKER_THRESHOLD]
-
- if not fresh_relevant:
- return f"已从小红书抓取 {count} 篇「{query}」笔记,但检索仍未匹配。请稍后重试或更换关键词。"
-
- report = _do_insight(fresh_relevant, query)
- report = (f"(📥 已从小红书实时抓取「{query}」{count} 篇真实笔记,"
- f"当前共 {len(fresh_relevant)} 篇相关笔记)\n\n{report}")
- return report
-
-
-# ======================================================================
-# 第三部分:Streamlit UI
-# ======================================================================
-
-with st.sidebar:
- st.subheader("模式选择")
- mode = st.radio(
- "运行模式",
- ["问答模式", "洞察模式"],
- index=0,
- help="问答模式:基于知识库回答问题。洞察模式:分析评论区挖掘选品机会。",
- )
-
- st.markdown("---")
- st.caption(
- f"📊 当前知识库:{len(chunks)} 个 chunk"
- + (f" · 🆕 有新数据" if st.session_state.data_version > 0 else "")
- )
-
- st.markdown("**使用提示**")
- if mode == "问答模式":
- st.caption(
- "输入产品相关的问题,例如:\n"
- "- 磁吸感应灯哪个品牌好\n"
- "- 学生寝室平价好物推荐\n"
- "- 收纳盒怎么选"
- )
- else:
- st.caption(
- "输入品类名称获取市场洞察,例如:\n"
- "- 磁吸感应灯\n"
- "- 寝室改造\n"
- "- 桌面收纳\n"
- "- 健身服(知识库没有?自动抓取!)"
- )
-
- if mode == "问答模式":
- st.markdown("---")
- st.subheader("检索策略")
- strategy = st.radio(
- "策略",
- ["auto", "vector", "keyword", "hybrid"],
- index=0,
- help="auto: Supervisor 自动选择",
- label_visibility="collapsed",
- )
-
-
-# ---- 主界面 ----
-if mode == "问答模式":
- st.subheader("💬 问答")
-
- if "qa_messages" not in st.session_state:
- st.session_state.qa_messages = []
-
- for msg in st.session_state.qa_messages:
- with st.chat_message(msg["role"]):
- st.markdown(msg["content"])
-
- if prompt := st.chat_input("输入你的问题..."):
- st.session_state.qa_messages.append({"role": "user", "content": prompt})
- with st.chat_message("user"):
- st.markdown(prompt)
-
- with st.chat_message("assistant"):
- status = st.empty()
- with st.spinner("思考中..."):
- result = graph.invoke({
- "question": prompt,
- "rewritten_question": "",
- "strategy": strategy if strategy != "auto" else "",
- "documents": [],
- "relevant_docs": [],
- "generation": "",
- "retry_count": 0,
- })
- response = result["generation"]
-
- if "无法回答" in response or "根据现有资料" in response:
- from src.crawler import CrawlerInterface
-
- category = prompt
- status.info(f"🔍 知识库中暂无「{category}」相关信息,正在从小红书实时抓取...")
-
- cookies_json = ""
- try:
- cookies_json = st.secrets.get("XHS_COOKIES", "")
- except Exception:
- pass
-
- crawler = CrawlerInterface(raw_dir=raw_dir, cookies_json=cookies_json)
- if not crawler.is_available:
- status.warning("⚠️ 爬虫未登录,请先在命令行运行: uv run python src/real_crawler.py \"品类名\"")
- else:
- result = crawler.crawl(category, count=30)
- count = result["count"]
-
- if count > 0:
- status.success(f"✅ 已从小红书抓取 {count} 篇「{category}」真实笔记,正在重新检索回答...")
- # ✅ Day 4: 委托给 AppState 统一重建
- state.rebuild_sync()
- st.session_state.data_version += 1
-
- time.sleep(0.5)
-
- graph = state.graph
- result = graph.invoke({
- "question": prompt,
- "rewritten_question": "",
- "strategy": strategy if strategy != "auto" else "",
- "documents": [],
- "relevant_docs": [],
- "generation": "",
- "retry_count": 0,
- })
- response = result["generation"]
-
- if "无法回答" in response or "根据现有资料" in response:
- response = (f"(📥 已从小红书抓取 {count} 篇真实笔记,"
- f"但检索仍未匹配到相关信息)\n\n{response}")
- else:
- response = (f"(📥 已从小红书实时抓取 {count} 篇真实笔记作为知识补充)\n\n{response}")
- else:
- response = f"抱歉,无法从小红书获取「{category}」的数据。请检查网络连接后重试。"
-
- st.markdown(response)
-
- st.session_state.qa_messages.append({"role": "assistant", "content": response})
-
-else:
- st.subheader("📊 选品洞察")
-
- if "insight_messages" not in st.session_state:
- st.session_state.insight_messages = []
-
- for msg in st.session_state.insight_messages:
- with st.chat_message(msg["role"]):
- st.markdown(msg["content"])
-
- if prompt := st.chat_input("输入品类名称,例如:磁吸感应灯、健身服..."):
- st.session_state.insight_messages.append({"role": "user", "content": prompt})
- with st.chat_message("user"):
- st.markdown(prompt)
-
- with st.chat_message("assistant"):
- status = st.empty()
- report_container = st.empty()
- with st.spinner("分析评论区数据中..."):
- stream_gen = run_insight_pipeline(prompt, status_placeholder=status, stream=True)
- full_report = ""
- for chunk in stream_gen:
- full_report += chunk
- report_container.markdown(full_report + "▌")
- report_container.markdown(full_report)
-
- st.session_state.insight_messages.append({"role": "assistant", "content": full_report})
-
-
-st.markdown("---")
-st.caption(f"🎯 小红书爆款雷达 v0.4 · 问答 + 洞察 + 自动抓取 · 数据版本 {st.session_state.data_version}")
diff --git a/data/chroma_db/9650ba44-355b-43d2-bf46-374351a47dab/data_level0.bin b/data/chroma_db/a25555c6-5602-4ba8-ac59-d9c3bbf9af5a/data_level0.bin
similarity index 99%
rename from data/chroma_db/9650ba44-355b-43d2-bf46-374351a47dab/data_level0.bin
rename to data/chroma_db/a25555c6-5602-4ba8-ac59-d9c3bbf9af5a/data_level0.bin
index e783ac7d2aea929d97f01646158d76cf437ce722..3ca6966adc35a06e4d797974d087e6eae13de1dd 100644
GIT binary patch
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