mlops/compose.yaml at develop · AkrosAG/mlops · GitHub

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services:
  mlflow:
    image: mlops-cpu
    command: >
      mlflow server
      --host 0.0.0.0
      --port 5000
      --backend-store-uri /workspace/data/mlruns
      --default-artifact-root /workspace/data/mlartifacts
    working_dir: /workspace
    volumes:
      - .:/workspace
    ports:
      - "5000:5000"

  api:
    image: mlops-cpu
    command: >
      python -m deployment.serve_model
      --model_path /workspace/data/reports/best_model.pt
      --prediction_log /workspace/data/prediction_log.csv
      --host 0.0.0.0
      --port 8000
    working_dir: /workspace
    environment:
      PYTHONPATH: /workspace/src
    volumes:
      - .:/workspace
    ports:
      - "8000:8000"
    depends_on:
      - mlflow

  monitoring-job:
    image: mlops-cpu
    command: >
      python -m operations.monitoring_job
      --config /workspace/configs/monitoring_job.example.json
      --interval_seconds 86400
      --max_runs 1
      --history_json /workspace/data/monitoring_job_history.json
    working_dir: /workspace
    environment:
      PYTHONPATH: /workspace/src
    volumes:
      - .:/workspace
    depends_on:
      - mlflow