2 Commits

Author SHA1 Message Date
Claude 7a510a926d refactor: organize pilot packages
Group review, feedback, evaluation, observability, and entrypoint code into packages. Keep thin top-level compatibility shims for existing scripts and imports, and mirror the structure in the tests.
2026-09-01 00:59:51 +00:00
Marcos 2e1ad817e7 feat(eval): filterable item metadata and dataset runs for the Experiments tab
The filter bar matches on metadata only — not on input and not on the item id —
so a dataset seeded with repo/pr in `input` alone could not be sliced by repo
at all. Every facet worth filtering on is now a flat primitive in `metadata`:
repo, owner, repo_name, pr, head_sha, finding_count, has_findings,
max_severity, reviews_run and the review timestamp both ways. `owner` is split
out because a filter on the joined repo matches one repo, never a whole org,
and `max_severity` is "none" rather than absent because an absent key matches
no filter.

`eval_experiment.py` links reviews that already ran into a dataset run, one run
per model, so the Experiments tab is populated without re-running the reviewer.
One trace per (run, item), the most recent: a PR re-reviewed on every push has
many traces and a run is one output per input.

It posts to the deprecated /api/public/dataset-run-items — the notice exempts
self-hosted v3 from the cutoff date and the pilot is stdlib-only by design.
Revisit at v4.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-08-31 15:53:35 +00:00