/admin/reward-analytics now surfaces served count, reaction rate, and avg
reward grouped by llm_model, prompt_version, and tip_kind — closing the
loop so model/prompt iterations in M2 are legible next to the bandit
policy view. Data comes from the tip_scores columns added in ffdf707 and
tip_feedback.reward_milli; bandit-only tips show as "(bandit-only)".
Closes#92.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Issue 21 — event infrastructure:
- NormalizedEvent<T> + payload types in packages/shared-types/src/events/
- Bus.onPublish() hook for side-effect bridges
- NATS JetStream adapter (services/api/src/events/nats.ts): connects when
NATS_URL is set, creates signals.> and feedback.> streams, bridges all
in-process bus publishes to JetStream — no-ops gracefully when NATS is absent
- NATS service added to docker-compose (profile: events|full, port 4222/8222)
Issue 22 — Todoist background sync:
- services/api/src/signals/scheduler.ts: queries all active-token users every
15 min (TODOIST_SYNC_INTERVAL_MS), fan-out via todoistSource.fetchSignals()
which emits signals.task.synced; on-demand fetch remains as freshness fallback
- NATS_URL + TODOIST_SYNC_INTERVAL_MS added to config
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Add Signal + SignalSource interfaces to packages/shared-types
- TipCandidate.features widened to Record<string,number|boolean> to match Signal
- TodoistSignalSource: encapsulates fetch, cache, 401 handling, bus events, and act()
- SignalAggregator: parallel fan-out across sources with per-source failure isolation
- Recommender refactored to consume Signal[] via aggregator; source action dispatch via aggregator.act()
- ADR-0009: signal normalization strategy
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
ML serving:
- LinUCB contextual bandit (disjoint, d=5 features: hour_sin/cos, is_overdue, task_age, priority)
- /score endpoint replaces stub random; /reward endpoint for online learning
- Per-user model state persisted to disk as JSON (survives restarts)
- venv at ml/serving/.venv; start with pnpm dev from ml/serving
Recommender:
- Todoist fetch now extracts features (is_overdue, task_age_days, priority)
- RemotePolicy calls ml/serving with 3s timeout; falls back to RandomPolicy
- Reward sent to /reward on feedback (done=+1, snooze=0, dismiss=-1)
Web Push:
- VAPID keys in config; push_subscriptions table in DB
- POST/DELETE /api/push/subscribe; GET /api/push/vapid-public-key
- Service worker (public/sw.js): push → showNotification, notificationclick → focus/open
- "notify me" button on tip page; registers SW + subscribes on permission grant
Event bus:
- services/api/src/events/bus.ts: typed EventEmitter wrapper
- Subjects: signals.tip.served, signals.tip.feedback, signals.task.synced
- Same publish/subscribe API NATS JetStream will implement — swap is mechanical
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- /legal/terms and /legal/privacy pages (linked from sign-in)
- Consent (consentGiven=true) recorded on first Google sign-in
- tip_views table: one row per tip served — enables activation + reaction rate queries
- tip_views purged on account deletion
- Delete account button on /connect (confirm → revoke tokens → purge data → sign out)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- ADR-0003: modular monolith for Phase 0 with documented extraction triggers
- ADR-0004: Auth.js + OIDC-shaped boundary; dedicated provider when mobile ships
- ADR-0005: protobuf for events, OpenAPI for HTTP, schema-registry CI gate
- New architecture docs: data-model, metrics (magic proxies), privacy (Phase-0 feature)
- Prime directives updated: privacy-as-feature, modular-by-package-deployable-by-stage
- Roadmap revised: Apple OAuth deferred to M1; web push in M1; k3s intermediate; tip-kind-aware UI
- PLAN updated: Phase-0 deletion endpoint, metrics baseline, compose profiles, import-boundary lint
- License decision in README (ARR with OSS plan in Phase 5)
