build-and-run-model.yaml

# Workflow that builds a Docker image containing the model code,
# pushes it to the GitHub Container Registry, and then optionally uses
# that container image to run the model using an AWS Batch job.
#
# Images are built on every commit to a PR or main branch in order to ensure
# that the build continues to work properly, but Batch jobs are gated behind
# a `deploy` environment that requires manual approval from a
# @ccao-data/core-team member.

name: build-and-run-model

on:
  pull_request:
    types: [opened, reopened, synchronize, closed]
  workflow_dispatch:
    inputs:
      run_type:
        type: choice
        description: Run type or purpose
        options:
        - junk
        - rejected
        - test
        - baseline
        - candidate
        - final
        default: test
        required: true
      run_note:
        type: string
        description: Note to include with run
        required: true
      report_additional_pins:
        type: string
        description: Create reports for additional PINs
        default: '13253180150000 05174150240000'
        required: false
      upload_enable:
        type: boolean
        description: Upload results to S3
        default: true
        required: true
      cv_enable:
        type: boolean
        description: Run cross-validation
        default: false
        required: true
      comp_enable:
        type: boolean
        description: Run comparables finding
        default: false
        required: true
      shap_enable:
        type: boolean
        description: Calculate SHAP values
        default: false
        required: true
  push:
    branches: [master]

jobs:
  build-and-run-model:
    permissions:
      # contents:read and id-token:write permissions are needed to interact
      # with GitHub's OIDC Token endpoint so that we can authenticate with AWS
      contents: read
      id-token: write
      # While packages:write is usually not required for workflows, it is
      # required in order to allow the reusable called workflow to push to
      # GitHub Container Registry
      packages: write
    uses: ccao-data/actions/.github/workflows/build-and-run-batch-job.yaml@jeancochrane/persist-batch-compute-environment-update-policy
    with:
      ref: jeancochrane/persist-batch-compute-environment-update-policy
      backend: "ec2"
      vcpu: "8"
      memory: "32000"
      # Maximum pipeline runtime. This is slightly below 6 hours, which
      # is the maximum length of any single GitHub Actions job
      role-duration-seconds: 21000
      # Disable Batch job status polling since this workflow often takes
      # more than 6 hours
      poll_for_status: false
      # Set these env vars in the container
      container_env_vars: |
        WORKFLOW_RUN_TYPE=${{ inputs.run_type }}
        WORKFLOW_RUN_NOTE=${{ inputs.run_note }}
        UPLOAD_ENABLE_OVERRIDE=${{ inputs.upload_enable }}
        CV_ENABLE_OVERRIDE=${{ inputs.cv_enable }}
        COMP_ENABLE_OVERRIDE=${{ inputs.comp_enable }}
        SHAP_ENABLE_OVERRIDE=${{ inputs.shap_enable }}
        REPORT_ADDITIONAL_PINS=${{ inputs.report_additional_pins }}
    secrets:
      AWS_IAM_ROLE_TO_ASSUME_ARN: ${{ secrets.AWS_IAM_ROLE_TO_ASSUME_ARN }}
      AWS_ACCOUNT_ID: ${{ secrets.AWS_ACCOUNT_ID }}
      # Set these env vars as secrets so they get masked in the GitHub
      # Actions logs
      CONTAINER_ENV_VARS: |
        AWS_SNS_ARN_MODEL_STATUS=${{ secrets.AWS_SNS_ARN_MODEL_STATUS }}