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Author	SHA1	Message	Date
alvis	4a42a6aabf	feat(admin): profile freshness panel in data-quality (#81 phase B.4) Adds a per-feature freshness summary to /admin/data-quality so the admin can spot features that are systematically stale or never computed: totalEligible — distinct users with tip_views in the last 30 days missing — eligible users with no row stored for the feature stale — eligible users whose stored row is past its TTL Backend exposes summarizeProfileFreshness() in profile/builder.ts; one query per feature joins eligible users LEFT JOIN profile rows. Coverage = (eligible − missing − stale) / eligible, colored green/yellow/red via the new PctGood helper (high-is-good, opposite of the existing Pct used for missing-feature/stale-token rates). Refs #81. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-04-25 00:34:46 +00:00
alvis	e62c726ea4	feat: M1 admin console — all 10 remaining pages + signal/quality/ops infrastructure Admin console (issues #63–72): - Event stream viewer: live-tail ring buffer (500 events) with subject/user filters - Feature store browser: per-user feature vector history from ml/serving - Model registry panel: MLflow embed at /admin/models - Experiment dashboard: LinUCB per-user stats (pulls, reward, θ) + bandit reset - Recommendation log: per-tip explainability (policy, score, features, latency) - Reward analytics: daily reaction breakdown + per-policy compare - Data quality widget: missing-feature rate, stale-token rate, daily completeness - Ops actions: replay-signal, policy enable/disable; user actions link to Users page - SQL runner: read-only SELECT runner with saved queries - Health rollup: fan-out to api/ml/sqlite/event-bus with auto-refresh Backend: - tip_scores table: logs features+policy+score+latency at every scoring call (#67) - saved_queries table: per-admin saved SQL (#71) - Event bus: 500-event ring buffer + tail() API (#63) - Admin routes: /events, /tips, /reward-analytics, /data-quality, /health, /policies, /replay-signal, /sql, /saved-queries endpoints - /api/ml/* admin-gated proxy to ml/serving (#64, #66) - Shadow-policy registry in recommender (#56) ML serving: - /reset/{user_id}: clear bandit state + feature history (#66) - /stats/{user_id}: pulls, cumulative reward, estimated mean, θ (#66) - /features/{user_id}: last 100 feature vectors logged at scoring time (#64) - Meta (pulls, rewards) persisted alongside A/b matrices Web: - Tip action sheet adds Helpful / Not helpful buttons (#62) - TipFeedback type extended with helpful/not_helpful actions - Rewards mapped: helpful=+0.5, not_helpful=−0.5 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-04-16 03:56:48 +00:00

Author

SHA1

Message

Date

alvis

4a42a6aabf

feat(admin): profile freshness panel in data-quality (#81 phase B.4)

Adds a per-feature freshness summary to /admin/data-quality so the admin
can spot features that are systematically stale or never computed:

  totalEligible — distinct users with tip_views in the last 30 days
  missing       — eligible users with no row stored for the feature
  stale         — eligible users whose stored row is past its TTL

Backend exposes summarizeProfileFreshness() in profile/builder.ts; one
query per feature joins eligible users LEFT JOIN profile rows.
Coverage = (eligible − missing − stale) / eligible, colored
green/yellow/red via the new PctGood helper (high-is-good, opposite of
the existing Pct used for missing-feature/stale-token rates).

Refs #81.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

2026-04-25 00:34:46 +00:00

alvis

e62c726ea4

feat: M1 admin console — all 10 remaining pages + signal/quality/ops infrastructure

Admin console (issues #63–72):
- Event stream viewer: live-tail ring buffer (500 events) with subject/user filters
- Feature store browser: per-user feature vector history from ml/serving
- Model registry panel: MLflow embed at /admin/models
- Experiment dashboard: LinUCB per-user stats (pulls, reward, θ) + bandit reset
- Recommendation log: per-tip explainability (policy, score, features, latency)
- Reward analytics: daily reaction breakdown + per-policy compare
- Data quality widget: missing-feature rate, stale-token rate, daily completeness
- Ops actions: replay-signal, policy enable/disable; user actions link to Users page
- SQL runner: read-only SELECT runner with saved queries
- Health rollup: fan-out to api/ml/sqlite/event-bus with auto-refresh

Backend:
- tip_scores table: logs features+policy+score+latency at every scoring call (#67)
- saved_queries table: per-admin saved SQL (#71)
- Event bus: 500-event ring buffer + tail() API (#63)
- Admin routes: /events, /tips, /reward-analytics, /data-quality, /health,
  /policies, /replay-signal, /sql, /saved-queries endpoints
- /api/ml/* admin-gated proxy to ml/serving (#64, #66)
- Shadow-policy registry in recommender (#56)

ML serving:
- /reset/{user_id}: clear bandit state + feature history (#66)
- /stats/{user_id}: pulls, cumulative reward, estimated mean, θ (#66)
- /features/{user_id}: last 100 feature vectors logged at scoring time (#64)
- Meta (pulls, rewards) persisted alongside A/b matrices

Web:
- Tip action sheet adds Helpful / Not helpful buttons (#62)
- TipFeedback type extended with helpful/not_helpful actions
- Rewards mapped: helpful=+0.5, not_helpful=−0.5

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2026-04-16 03:56:48 +00:00

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