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codebase-memory-mcp/scripts
Andrew Hundt a8836ebfe1 feat(benchmark): render categorical quality evidence
Compute retrieval MRR, canonical-graph fidelity, applicable-probe task success, and their equal-weight geometric mean in scripts/summarize-benchmark-results.py. Correctness failures remain hard REJECT decisions and cannot be averaged away.

Render named oracle criteria, expected evidence, rank, Hit@1/Hit@5, raw retrieval/graph/scenario counts, capability profiles, and explicit Pareto eligibility or dominance reasons. Link the generated Markdown to the NIST TREC reciprocal-rank definition at https://trec.nist.gov/pubs/trec14/papers/hummingbird.qa.robust.tera.pdf.

Validation: 32 benchmark/campaign/report unit tests passed; Ruff and scripts/check-source-safety.sh passed; preserved campaign JSON rendered successfully without modifying source artifacts.
Signed-off-by: Andrew Hundt <ATHundt@gmail.com>
2026-07-15 00:06:00 -04:00
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