Skip to content

Improve performance for quickfind - #1612

Merged
danlamanna merged 1 commit into
masterfrom
perf-quickfind
Oct 7, 2026
Merged

danlamanna merged 1 commit into
masterfrom
perf-quickfind

Conversation

@danlamanna

@danlamanna danlamanna commented Oct 7, 2026 •

Copy link
Copy Markdown
Member

This significantly reduces the memory and timing performance for the case where extremely common image queries are run.

Summary by CodeRabbit

  • Bug Fixes
    • Image quickfind now returns up to five permission-filtered image matches, ranked by similarity. Results include related accession and cohort details.

This significantly reduces the memory and timing performance for the
case where extremely common image queries are run.
@danlamanna
danlamanna enabled auto-merge October 7, 2026 02:50
@coderabbitai

coderabbitai Bot commented Oct 7, 2026 •

Copy link
Copy Markdown

Review in Change Stack →

No actionable comments were generated in the recent review. 🎉

ℹ️ Recent review info
⚙️ Run configuration
  • Configuration used: defaults
  • Review profile: CHILL
  • Plan: Advanced
  • Run ID: fb667b4f-2ea8-41e9-acf9-b5fd2fcdd82f
📥 Commits

Reviewing files that changed from the base of the PR and between 818e0d2 and 0044055.

📒 Files selected for processing (2)
  • isic/find/find.py
  • isic/find/tests/test_find.py

Included review availability: This review used your included allowance. Your plan provides up to 1 included review per hour; 0 remain after this review.


📝 Walkthrough

Walkthrough

Image quickfind now ranks permission-filtered image matches by Jaro-Winkler similarity and serializes up to five images before processing other search categories. The test covers a broad query across six public images.

Changes

Image Quickfind

Layer / File(s) Summary
Rank and serialize image matches
isic/find/find.py, isic/find/tests/test_find.py
Quickfind filters permitted matching image IDs, ranks them by similarity, and loads up to five images with related accession and cohort data. It serializes those images before processing other search categories. The test checks that a broad query returns five images from the six-image batch.

Priority: ⬇️ Low

Estimated code review effort: 2 (Simple) | ~10 minutes

Change: Other

Merge Risk: ⚪ Minimal · up to 00440

Quickfind for very common image queries now ranks matches and returns at most five images. No actionable merge risk was identified.

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 4 functions across 2 files. Write docstrings for the functions missing them to satisfy the coverage threshold.
✅ Passed checks (4 passed)
Check name Status Explanation
Description Check ✅ Passed Check skipped - CodeRabbit’s high-level summary is enabled.
Title check ✅ Passed The title accurately summarizes the main goal: improving quickfind performance.
Linked Issues check ✅ Passed Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check ✅ Passed Check skipped because no linked issues were found for this pull request.
  • Fix all pre-merge checks with AI
✨ Finishing Touches 💡 1
📝 Generate docstrings 💡
  • Commit to this branch
  • Create a new PR
🧪 Generate unit tests (beta)
  • Commit to this branch
  • Create a new PR
  • Autopilot · Keep fixing CodeRabbit findings and required CI, and resolving merge conflicts

Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out.

❤️ Share

Comment @coderabbitai help to get the list of available commands.

@danlamanna
danlamanna merged commit 53c496f into master Oct 7, 2026
3 checks passed
@danlamanna
danlamanna deleted the perf-quickfind branch October 7, 2026 02:56
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

1 participant