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>
8 lines
121 B
Plaintext
8 lines
121 B
Plaintext
fastapi==0.115.6
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uvicorn[standard]==0.32.1
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pydantic==2.10.4
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numpy>=1.26.0
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httpx>=0.27.0
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anthropic>=0.40.0
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nats-py>=2.9.0
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