The function was appending the entire DataChunk object instead of
the individual item when processing non-string data (e.g., images).
Bug: `result.append(chunk)` should have been `result.append(c)`
This caused:
- Type mismatches (returning DataChunk instead of MulitmodalChunk)
- Potential circular references
- Embedding failures for mixed content
Fixed by appending the individual item `c` instead of the parent `chunk`.
Updated existing test and added new test to verify behavior.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
BUG-004: Score aggregation was broken - documents with more chunks
would always rank higher regardless of relevance because scores were
summed instead of averaged.
Changes:
- Changed score calculation from sum() to mean()
- Added comprehensive tests for SearchResult.from_source_item()
- Added tests for elide_content helper
This ensures search results are ranked by actual relevance rather
than by the number of chunks in the document.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add --run-slow flag to optionally include slow tests
- Auto-detect tests that use db_session, test_db, db_engine, or qdrant fixtures
- Skip slow tests by default for faster development iteration
- Usage: pytest (fast only) or pytest --run-slow (all tests)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
