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c4960d06018e287d7426b7d5fee24073581b5846
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4 Commits

Author SHA1 Message Date
alvis
c4960d0601 feat(observability): structured logs, W3C trace IDs, Sentry hooks (#18) 
- TS: pino + pino-http; every HTTP request log includes traceId from
  W3C traceparent header (generated if absent); forwarded to ml/serving
  on all /score, /generate, /reward, and /api/ml proxy calls
- Python: structlog JSON; FastAPI middleware binds trace_id via
  contextvars so every log line within a request carries it
- Sentry: optional SENTRY_DSN init in both runtimes (no-op if unset)
- Replace all console.* calls across services/api with pino logger
- Update tests to spy on logger instead of console

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-26 03:37:28 +00:00
alvis
352469162d fix(signals): add missing source field to TaskSyncedEvent (#78) 
TaskSyncedPayload in shared-types and ml/serving schemas both require
source, but TaskSyncedEvent in bus.ts and the todoist publish call both
omitted it — causing the JetStream consumer to nak every task.synced
message on validation failure.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-25 17:15:32 +00:00
alvis
5b52c6bf40 test: cover NATS bridge + Todoist scheduler; ADR-0010 
- bus.test.ts: 4 cases for the new onPublish hook contract
- nats.test.ts: stream creation idempotency + JSON publish bridge
- scheduler.test.ts: startup delay, fan-out, per-user failure isolation
- ADR-0010 documents the bridge-don't-replace decision and the
  Todoist scheduler isolation, plus open follow-ups (#98 ml/serving
  consumer, #54 protobuf migration, graceful shutdown, metrics)
- README/overview/services README reflect the bridged event substrate
- CLAUDE.md gains a "don't nats.publish() directly" rule
- .env.example documents NATS_URL + TODOIST_SYNC_INTERVAL_MS

Verified in deployment 2026-04-18: api -> nats bridge connects on
boot, signals + feedback streams created, scheduler tick logs
"todoist sync: 1 ok, 0 failed (1 users)" within 10s. Closes #21, #22.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
 2026-04-18 07:55:25 +00:00
alvis
faf44c18fc feat: ε-greedy v1 as active policy; dwell-time reward inference; offline sim framework 
- Promote egreedy-v1 to active serving policy (ADR-0007): /score/egreedy + /reward/egreedy
  replaces linucb-v1 endpoints after offline sim shows +10.7% mean reward (−0.548 vs −0.606)
- Replace explicit helpful/not_helpful feedback with dwell-time inferred reward (inferReward):
  dismiss=−1.0, snooze=+0.1, done<15s=−0.3, done 15s–2min=+1.0, done 2–10min=+0.6, done>10min=+0.3
- Add ml/serving ε-greedy endpoints: /score/egreedy, /reward/egreedy, /stats/egreedy/{user_id}
  with d=7 feature vector (base 5 + sin/cos day-of-week encoding)
- Add offline simulation framework (ml/experiments/sim): rule/LLM/claude-code judges,
  two-phase score+reward, synthetic personas, task generator; results stored in sim_runs/sim_events
- Add /admin/simulations page: start runs, live-poll status, reward curve SVG, action/persona tables
- Fix egreedy day_of_week training skew: reward endpoint now uses actual dow instead of hardcoded 0
- Fix runner.py proxy bypass: httpx.Client(trust_env=False) for localhost ML calls
- Add dwellMs to TipFeedbackEvent contract and bus.test.ts fixture
- Schema: sim_runs, sim_events tables; tip_feedback gains dwell_ms, reward_milli columns
- ADR-0006: admin console framework; ADR-0007: egreedy-v1 policy selection rationale

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-16 07:44:37 +00:00