Backend for the halacha approval-queue triage (#84). The keyboard UI, batch
actions and defer/reject (#84.4–6) already shipped; this adds the gating,
prioritization and metrics the queue was missing.
db.list_halachot — two opt-in triage controls:
* exclude_low_quality (#84.1): drop items carrying ANY quality_flag
(application / quote_unverified / truncated / non_decision / thin /
nli_unsupported / near_duplicate) — they belong in a 'needs extraction fix'
bucket, not the chair's approve queue.
* order_by_priority (#84.3): active-learning order — negatively-treated
first, then most-uncertain (lowest confidence), then oldest — instead of
FIFO, so the highest-value decisions surface first.
halachot_pending (MCP) — now gated + prioritized BY DEFAULT; include_low_quality=
true reveals the needs-fix bucket. The agent review path benefits immediately.
GET /api/halachot — same two params, default OFF (non-breaking; the UI opts in).
metrics.halacha_backlog (#84.7) — splits pending into clean vs flagged, adds
deferred, reviewed_total, approve_ratio, and a pending_by_flag breakdown, so the
backlog distinguishes real review work from extraction noise.
Deferred (documented): #84.2 near-duplicate cluster cards and wiring the UI
fetch to the new params require frontend work + an api:types regen AFTER this
deploys (the new query params aren't in prod's OpenAPI until then) — a clean
follow-up. The backend fully supports both now.
Verified against the live DB (read-only):
- pending 177 → gated-clean 110, 0 flagged items leak into the clean queue.
- priority order surfaces the lowest-confidence items first (0.55, 0.55, ...).
- backlog: pending_clean=110 / pending_flagged=67 / approve_ratio=0.916,
pending_by_flag={nli_unsupported:59, quote_unverified:3, thin:3, truncated:2}.
- pytest tests/test_halacha_quality.py — 52 passed (no regression).
Invariants: G1 (gate at source — SQL filter, not post-hoc); G2 (no parallel
path — same list_halachot); §6 (flagged items routed to a bucket, never dropped).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
