services: candle-annotator: build: . ports: - "3000:3000" volumes: - ml-data:/app/ml-data environment: - NODE_ENV=production - DATABASE_URL=postgresql://${POSTGRES_USER}:${POSTGRES_PASSWORD}@postgres:5432/${POSTGRES_DB} - INFERENCE_API_URL=http://ml-service:8001 - INFERENCE_API_TIMEOUT=30000 - INFERENCE_BATCH_TIMEOUT=120000 - NEXT_PUBLIC_PREDICTIONS_ENABLED=true - API_KEY=${API_KEY} - AUTH_SECRET=${AUTH_SECRET} - AUTH_URL=${AUTH_URL} - AUTH_GOOGLE_ID=${AUTH_GOOGLE_ID} - AUTH_GOOGLE_SECRET=${AUTH_GOOGLE_SECRET} - AUTH_TRUST_HOST=${AUTH_TRUST_HOST} - DEFAULT_ADMIN_EMAIL=${DEFAULT_ADMIN_EMAIL} - DEFAULT_ADMIN_PASSWORD=${DEFAULT_ADMIN_PASSWORD} restart: unless-stopped depends_on: postgres: condition: service_healthy ml-service: condition: service_healthy healthcheck: test: ["CMD", "curl", "-f", "http://localhost:3000/api/health"] interval: 30s timeout: 10s retries: 3 start_period: 40s ml-service: build: ./services/ml ports: - "127.0.0.1:8001:8001" volumes: - ml-data:/app/data - mlflow-data:/app/mlruns environment: - MLFLOW_TRACKING_URI=http://mlflow:5000 - DATABASE_URL=postgresql://${POSTGRES_USER}:${POSTGRES_PASSWORD}@postgres:5432/${POSTGRES_DB} - PYTHONUNBUFFERED=1 - API_KEY=${API_KEY} restart: unless-stopped depends_on: postgres: condition: service_healthy mlflow: condition: service_started healthcheck: test: ["CMD", "curl", "-f", "http://localhost:8001/health"] interval: 30s timeout: 10s retries: 3 start_period: 40s mlflow: image: ghcr.io/mlflow/mlflow:v2.10.0 ports: - "127.0.0.1:5000:5000" volumes: - mlflow-data:/mlflow command: > mlflow server --backend-store-uri /mlflow --default-artifact-root /mlflow/artifacts --host 0.0.0.0 --port 5000 restart: unless-stopped postgres: image: postgres:16-alpine ports: - "127.0.0.1:5432:5432" volumes: - postgres-data:/var/lib/postgresql/data environment: - POSTGRES_USER=${POSTGRES_USER} - POSTGRES_PASSWORD=${POSTGRES_PASSWORD} - POSTGRES_DB=${POSTGRES_DB} restart: unless-stopped healthcheck: test: ["CMD-SHELL", "pg_isready -U ${POSTGRES_USER} -d ${POSTGRES_DB}"] interval: 10s timeout: 5s retries: 5 volumes: ml-data: mlflow-data: postgres-data: