Merge pull request #65 from j-sperling/feat/search-quality-consolidation
Consolidate query/relevance modules and improve search quality
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# Search Quality Eval
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`scripts/evaluate_search_quality.py` is an optional local evaluation step for retrieval quality. It is not part of the user-facing runtime and does not need to run in CI by default.
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What it does:
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- runs a baseline revision (default `origin/main`) against a candidate checkout
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- evaluates the fixed 5 reviewer topics by default
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- computes deterministic stability metrics:
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- `Jaccard` overlap vs baseline
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- retention vs baseline
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- per-source counts and overlap
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- optionally calls Gemini as a judge for graded relevance labels and then computes:
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- `Precision@5`
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- `nDCG@5`
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- source-coverage recall across the judged union pool
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Recommended usage:
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```bash
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uv run python scripts/evaluate_search_quality.py
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```
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Useful flags:
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```bash
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uv run python scripts/evaluate_search_quality.py \
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--baseline-rev origin/main \
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--candidate-rev HEAD \
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--no-default-topics \
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--topic "cursor IDE pricing" \
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--per-source-limit 5
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```
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Gemini configuration:
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- preferred on this workspace: set `GOOGLE_API_KEY`
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- also accepted: `GEMINI_API_KEY` or `GOOGLE_GENAI_API_KEY`
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- optional: set `GEMINI_MODEL`
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- default model is `gemini-3-pro-preview` for the direct Gemini API
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Notes:
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- The script forces a clean env-based auth path when it shells out to `last30days.py`.
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- It passes `XAI_API_KEY`, `OPENAI_API_KEY`, and `SCRAPECREATORS_API_KEY`, but intentionally does not pass browser-cookie X auth. That keeps evaluation runs on the popup-free path.
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- It also strips `node` from the eval `PATH` and wraps `yt-dlp` with `--ignore-config`, so older revisions do not inherit local browser-cookie config either.
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- `Jaccard` and retention are regression guards, not truth metrics.
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- `Precision@5` and `nDCG@5` are only as good as the judged pool. They help compare revisions, but they are not a substitute for a larger labeled benchmark.
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