f8d66aa01f
chore: remove Airflow completely from the stack
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Drop all four Airflow containers (db, init, webserver, scheduler) from the
mlops compose profile, leaving MLflow as the sole mlops service. Remove
AIRFLOW_* env vars, config fields, health-check entries, DAG trigger code
in admin/bench routes, the airflow_dag_run_id schema column, Airflow nav
links and DAG-run links in the admin UI, the two Airflow DAG files
(bench_dag.py, sim_dag.py), and all related docs/ADR references.
Simulations now run exclusively via the subprocess path.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com >
2026-05-03 16:38:46 +00:00
5b52c6bf40
test: cover NATS bridge + Todoist scheduler; ADR-0010
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- 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
85367aeaa0
feat: MLOps external services, AI stack planning, admin MLOps hub
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Infrastructure:
- Add `mlops` compose profile: MLflow (basic-auth, /mlflow path) + Airflow (LocalExecutor, /airflow path) + airflow-db
- infra/mlflow/basic_auth.ini for MLflow auth config
- Caddy routes /mlflow* and /airflow* inside existing o.alogins.net block (see agap_git)
- Dockerfile.admin: NEXT_PUBLIC_MLFLOW_URL / NEXT_PUBLIC_AIRFLOW_URL build args (default /mlflow, /airflow)
Admin panel:
- /admin/models: replace MLflow iframe with external link cards
- /admin/experiments: replace LinUCB stats with MLOps hub (links to MLflow experiments/models + Airflow DAGs/datasets)
- AdminShell: external nav links for MLflow ↗ and Airflow ↗ under MLOps section
Docs & planning:
- README: new AI stack section (Ollama/LiteLLM/OpenWebUI three-tier, tip generation pipeline, model aliases)
- README: Phase 2 expanded with AI infra issues (#86-#93) and granular pipeline breakdown
- README: Phase 4 expanded with LLM MLOps items (#94-#97)
- CLAUDE.md: AI stack section, updated current phase (M1 shipped / M2 in progress), compose profiles, updated What NOT to do
- docs/architecture/overview.md: AI stack section, updated decision flow diagram for Phase 2 LLM pipeline
- ADR-0006: updated to reflect external services (path-based, not embedded)
- Gitea issues #86-#97 created (M2: AI infra + pipeline; M4: LLM MLOps)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com >
2026-04-17 08:20:44 +00:00
faf44c18fc
feat: ε-greedy v1 as active policy; dwell-time reward inference; offline sim framework
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- 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
c5ea18ec6e
docs: mark M1 fully shipped in roadmap
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Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com >
2026-04-16 03:57:29 +00:00
2402a140e9
docs: mark M1 shipped in roadmap
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Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com >
2026-04-15 14:08:20 +00:00
08dfa1d8c9
chore: gitignore playwright artifacts; mark M0 fully complete in README
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Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com >
2026-04-15 09:09:26 +00:00
888f8b9a99
docs: mark Phase 0 shipped in roadmap, note remaining M0 items
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Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com >
2026-04-15 08:53:56 +00:00
7f173f88d3
refactor: architecture revision — modular monolith, auth-commit, event protobuf, privacy-from-day-0
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- 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)
2026-04-13 14:36:11 +00:00
cf4c7a0eb4
chore: scaffold oO monorepo with architecture, roadmap, and module stubs
2026-04-13 14:19:56 +00:00
