- Issue 1: Normalize domain lookup to lowercase on both sides (flow category names and session problem_domain) to fix case-sensitive mismatch in coverage endpoint
- Issue 2: Count distinct ai_session_id (not PsaPostLog.id) in doc_pushed funnel step to avoid inflating counts on retried sessions
- Issue 3: Clamp recency_score to [0.0, 1.0] with min/max to handle negative days_since from future timestamps (clock skew/test data)
- Issue 4: Wrap func.sum(case(...)) results with int() in dashboard endpoint to handle Decimal returns from asyncpg
- Issue 5: Remove dead domain_flow_counts_result query (result fetched but never consumed) to eliminate unnecessary DB round-trip
- Issue 6: Replace select(Tree) with select(Tree.id, Tree.name, Tree.tree_type) in flow-quality endpoint to avoid loading large tree_structure JSONB column
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Log `note_posted` and `time_entry_posted` activities to `psa_activity_logs`
after each successful PSA push in `psa_documentation_service.py`; errors
are caught and logged without blocking the main push flow
- Add `PsaFunnel`, `PsaDailyTrend`, and `EnhancedPsaMetrics` Pydantic schemas
- Add `GET /analytics/flowpilot/psa-metrics?period=30d` endpoint (team_admin,
rate-limited 15/min) returning time entry totals, push funnel
(sessions → linked → doc pushed → time entry logged), and daily trend
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
