ray/release/golden_notebook_tests/modin_xgboost_app_config.yaml

base_image: "anyscale/ray:nightly-py37"
env_vars: { }
debian_packages:
  - curl

python:
  pip_packages:
    - pandas>=1.3.0  # otherwise, a version mismatch between local and remote will cause an exception
    - git+https://github.com/ray-project/xgboost_ray.git#egg=xgboost_ray
    - modin>=0.11.0 # ray.services has been removed
    - s3fs
    - fastapi
    - uvicorn
    - tblib
  conda_packages: [ ]

post_build_cmds:
  - pip uninstall -y ray || true
  - pip install -U {{ env["RAY_WHEELS"] | default("ray") }}
  - {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }}
  # Upgrade the XGBoost-Ray version in post build commands, otherwise it will be cached in the Anyscale Docker image.
  - echo {{ env["TIMESTAMP"] }}
  - pip install -U xgboost # Upgrade to latest xgboost version so cached version is not used.
  - pip uninstall xgboost_ray -y # Uninstall first so pip does a reinstall.
  - pip install -U --no-cache-dir git+https://github.com/ray-project/xgboost_ray.git#egg=xgboost_ray