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>
This commit is contained in:
2026-04-16 07:44:37 +00:00
parent c5ea18ec6e
commit faf44c18fc
48 changed files with 6151 additions and 40 deletions

View File

@@ -23,6 +23,22 @@ jobs:
- run: pnpm build --filter=@oo/shared-types
- run: pnpm type-check
test:
name: Unit tests
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: pnpm/action-setup@v4
with:
version: 10
- uses: actions/setup-node@v4
with:
node-version: 22
cache: pnpm
- run: pnpm install --frozen-lockfile
- run: pnpm build --filter=@oo/shared-types
- run: pnpm test
ml-lint:
name: Python lint
runs-on: ubuntu-latest
@@ -33,3 +49,15 @@ jobs:
python-version: '3.12'
- run: pip install ruff
- run: ruff check ml/serving/
ml-test:
name: Python tests
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: '3.12'
- run: python -m venv ml/serving/.venv
- run: ml/serving/.venv/bin/pip install -r ml/serving/requirements-dev.txt
- run: ml/serving/.venv/bin/python -m pytest ml/serving/tests/ -v