alvis
4652e4b582
Adds a NATS JetStream consumer to ml/serving so the feature pipeline can react to events without the API triggering every read. - nats_consumer.py: durable push consumers for signals.> and feedback.> streams; acks on success, naks for redeliver, up to NATS_MAX_DELIVER attempts; per-consumer health state (last_msg_ts, processed, errors) - main.py: FastAPI lifespan wires start/stop; /health exposes nats state - requirements.txt: adds nats-py>=2.9.0 - Dockerfile.ml: copy all *.py from ml/serving (was missing prompts.py) Handled subjects: signals.task.synced → writes per-user sync metadata to STATE_DIR signals.tip.feedback → logged for observability (reward via HTTP path) Config: NATS_URL (empty = disabled), NATS_DURABLE_PREFIX, NATS_MAX_DELIVER Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
7 lines
211 B
OCaml
7 lines
211 B
OCaml
FROM python:3.12-slim
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WORKDIR /app
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COPY ml/serving/requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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COPY ml/serving/*.py .
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CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]
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