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docs: update CLAUDE.md with #61 completion and feature test patterns

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Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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alvis
2026-05-06 07:45:40 +00:00
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@@ -66,7 +66,9 @@ docs/ architecture notes, ADRs, API specs
- ADRs go in `docs/adr/NNNN-title.md` for any decision that constrains future work. - ADRs go in `docs/adr/NNNN-title.md` for any decision that constrains future work.
- No secrets in repo. Local dev via `.env.local` (gitignored), prod via the server's secret store (Vaultwarden now; k8s secrets later). - No secrets in repo. Local dev via `.env.local` (gitignored), prod via the server's secret store (Vaultwarden now; k8s secrets later).
- Compose profiles: `core` (api + web + admin), `full` (adds ml-serving), `mlops` (adds MLflow), `ai` (adds Ollama + LiteLLM). Mix as needed. - Compose profiles: `core` (api + web + admin), `full` (adds ml-serving), `mlops` (adds MLflow), `ai` (adds Ollama + LiteLLM). Mix as needed.
- Run Python agent tests from repo root: `python3 -m pytest ml/agents/tests/ -x -q` (tests add repo root to `sys.path` themselves). - Run Python agent tests: `python3 -m pytest ml/agents/tests/ -x -q` (tests add repo root to `sys.path` themselves).
- Run Python feature tests: `python3 -m pytest ml/features/ -x -q`
- `ml/features/` files are Python mirrors of TS registries — TS is source of truth. Tests parse `registry.ts` with regex to detect drift; follow the same pattern whenever a new field is added to `ProfileFeature`.
## Definition of done (per feature) ## Definition of done (per feature)
@@ -113,8 +115,9 @@ Recent completions:
- Rich per-agent inference for all four active agents (#112, #114, #115, #116) — 2026-05-06: quiet/peak hours (time-of-day), z-score baseline (momentum), p50 lateness + project realness (overdue-task), adaptive lookback + weekly/daily cycles (recent-patterns) - Rich per-agent inference for all four active agents (#112, #114, #115, #116) — 2026-05-06: quiet/peak hours (time-of-day), z-score baseline (momentum), p50 lateness + project realness (overdue-task), adaptive lookback + weekly/daily cycles (recent-patterns)
- Semantic task clustering via nomic-embed-text + focus-area preferred_areas inference (#97, #113) — 2026-05-06: `ml/agents/clustering.py`, focus-area v2.0.0 - Semantic task clustering via nomic-embed-text + focus-area preferred_areas inference (#97, #113) — 2026-05-06: `ml/agents/clustering.py`, focus-area v2.0.0
Active work (M2): - Per-user feature freshness SLAs (#61) — 2026-05-06: `invalidated_by` mirrored into `ProfileFeature`; drift-detection test added
- Per-user feature freshness SLAs (#61, ADR-0011 phase B)
Active work (M2): *(all M2 items complete — see README for M3 planning)*
## ADR-0014 endpoint map (as of step 6) ## ADR-0014 endpoint map (as of step 6)