# This file is generated by `ray project create`.

# A unique identifier for the head node and workers of this cluster.
cluster_name: asan_python_tests

# The maximum number of workers nodes to launch in addition to the head
# node. This takes precedence over min_workers. min_workers defaults to 0.
max_workers: 0

# Cloud-provider specific configuration.
provider:
    type: aws
    region: us-west-2
    availability_zone: us-west-2a

head_node:
    InstanceType: m5.4xlarge
    ImageId: ami-0d1cd67c26f5fca19  # Default Ubuntu 18.04 AMI.

    # Set primary volume to 50 GiB
    BlockDeviceMappings:
        - DeviceName: /dev/sda1
          Ebs:
              VolumeSize: 50

# How Ray will authenticate with newly launched nodes.
auth:
    ssh_user: ubuntu

setup_commands:
    # Install basics.
    - sudo apt-get update -q
    - sudo apt-get install -y -q build-essential curl unzip
    # Install Anaconda.
    - wget -q https://repo.continuum.io/archive/Anaconda3-5.0.1-Linux-x86_64.sh
    - bash Anaconda3-5.0.1-Linux-x86_64.sh -b -p $HOME/anaconda3 || true
    - echo 'export PATH="$HOME/anaconda3/bin:$PATH"' >> ~/.bashrc
    - pip install -U pip || true
    - conda uninstall -y terminado || true
    - pip install terminado || true
    # Clone Ray.
    - cd $HOME; rm -rf $HOME/ray; git clone https://github.com/ray-project/ray || true
    # Install Node.js in order to build the dashboard.
    - curl -sL https://deb.nodesource.com/setup_12.x | sudo -E bash
    - sudo apt-get install -y nodejs || true
    - cd ray/python/ray/dashboard/client; npm ci; npm run build
    # Set up Ray dependencies.
    - which bazel || bash -c "cd $HOME/ray; ci/travis/install-bazel.sh"

# Command to start ray on the head node. You don't need to change this.
head_start_ray_commands: []