bfe437857b
- Created scripts/migrate-sqlite-to-postgres.py as alternative to TypeScript version - Handles all type conversions: timestamps, booleans, and JSONB fields - Successfully migrated all 2,836 rows from SQLite to PostgreSQL - Verified data integrity: all 6 tables migrated correctly - Charts: 1, Candles: 2,592, Annotations: 4, Span annotations: 223
89 lines
2.1 KiB
YAML
89 lines
2.1 KiB
YAML
services:
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candle-annotator:
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build: .
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ports:
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- "3000:3000"
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volumes:
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- ml-data:/app/ml-data
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environment:
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- NODE_ENV=production
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- DATABASE_URL=postgresql://ml_user:ml_password@postgres:5432/candle_annotator
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- INFERENCE_API_URL=http://ml-service:8001
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- INFERENCE_API_TIMEOUT=30000
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- INFERENCE_BATCH_TIMEOUT=120000
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- NEXT_PUBLIC_PREDICTIONS_ENABLED=true
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restart: unless-stopped
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depends_on:
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postgres:
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condition: service_healthy
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ml-service:
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condition: service_healthy
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:3000/api/health"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 40s
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ml-service:
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build: ./services/ml
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ports:
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- "8001:8001"
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volumes:
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- ml-data:/app/data
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- mlflow-data:/app/mlruns
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environment:
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- MLFLOW_TRACKING_URI=http://mlflow:5000
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- DATABASE_URL=postgresql://ml_user:ml_password@postgres:5432/candle_annotator
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- PYTHONUNBUFFERED=1
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restart: unless-stopped
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depends_on:
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postgres:
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condition: service_healthy
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mlflow:
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condition: service_started
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:8001/health"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 40s
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mlflow:
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image: ghcr.io/mlflow/mlflow:v2.10.0
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ports:
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- "5000:5000"
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volumes:
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- mlflow-data:/mlflow
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command: >
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mlflow server
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--backend-store-uri /mlflow
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--default-artifact-root /mlflow/artifacts
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--host 0.0.0.0
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--port 5000
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restart: unless-stopped
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postgres:
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image: postgres:16-alpine
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ports:
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- "5432:5432"
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volumes:
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- postgres-data:/var/lib/postgresql/data
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environment:
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- POSTGRES_USER=ml_user
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- POSTGRES_PASSWORD=ml_password
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- POSTGRES_DB=candle_annotator
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restart: unless-stopped
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healthcheck:
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test: ["CMD-SHELL", "pg_isready -U ml_user -d candle_annotator"]
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interval: 10s
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timeout: 5s
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retries: 5
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volumes:
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ml-data:
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mlflow-data:
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postgres-data:
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