upstream-dev-ci.yml

name: CI Upstream
on:
  push:
    branches:
      - main
  pull_request:
    branches:
      - main
  schedule:
    - cron: "0 0 * * 4" # Thursdays At 00:00 UTC
  workflow_dispatch: # allows you to trigger the workflow run manually

concurrency:
   group: ${{ github.workflow }}-${{ github.ref }}
   cancel-in-progress: true

jobs:
  detect-ci-trigger:
    name: detect upstream-dev ci trigger
    runs-on: ubuntu-latest
    if: github.event_name == 'push' || github.event_name == 'pull_request'
    outputs:
      triggered: ${{ steps.detect-trigger.outputs.trigger-found }}
    steps:
      - uses: actions/checkout@v4
        with:
          fetch-depth: 2
      - uses: xarray-contrib/ci-trigger@v1.1
        id: detect-trigger
        with:
          keyword: "[test-upstream]"

  upstream-dev:
    name: upstream-dev
    runs-on: ubuntu-latest
    needs: detect-ci-trigger
    if: |
      always()
      && github.repository == 'xarray-contrib/xskillscore'
      && (
        (github.event_name == 'schedule' || github.event_name == 'workflow_dispatch')
        || needs.detect-ci-trigger.outputs.triggered == 'true'
      )
    defaults:
      run:
        shell: bash -l {0}
    strategy:
      fail-fast: false
      matrix:
        python-version: ["3.11"]
    outputs:
      artifacts_availability: ${{ steps.status.outputs.ARTIFACTS_AVAILABLE }}
    steps:
      - uses: actions/checkout@v4
        with:
          fetch-depth: 0 # Fetch all history for all branches and tags.
      - name: setup conda (micromamba)
        uses: mamba-org/setup-micromamba@v1
        with:
          environment-file: ci/dev.yml
          environment-name: xskillscore-dev
          cache-environment: true
          create-args: >-
            python=${{ matrix.python-version }}
            pytest-reportlog
            conda
      - name: Set up conda environment
        run: |
          bash ci/install-upstream-wheels.sh
      - name: Install xskillscore no deps
        run: |
          python -m pip install --no-deps -e .
      - name: Version info
        run: |
          conda info -a
          conda list
      - name: import xskillscore
        run: |
          python -c 'import xskillscore; xskillscore.show_versions()'
      - name: Run Tests
        if: success()
        id: status
        run: |
          set -euo pipefail
          python -m pytest --timeout=60 -rf | tee output-${{ matrix.python-version }}-log || (
              echo '::set-output name=ARTIFACTS_AVAILABLE::true' && false
          )
      - name: Upload artifacts
        if: |
          failure()
          && steps.status.outcome == 'failure'
          && github.event_name == 'schedule'
          && github.repository == 'xarray-contrib/xskillscore'
        uses: actions/upload-artifact@v2
        with:
          name: output-${{ matrix.python-version }}-log
          path: output-${{ matrix.python-version }}-log
          retention-days: 5

  report:
    name: report
    needs: upstream-dev
    if: |
      always()
      && github.event_name == 'schedule'
      && github.repository == 'xarray-contrib/xskillscore'
      && needs.upstream-dev.outputs.artifacts_availability == 'true'
    runs-on: ubuntu-latest
    defaults:
      run:
        shell: bash
    steps:
      - uses: actions/checkout@v2
      - uses: actions/setup-python@v2
        with:
          python-version: "3.x"
      - uses: actions/download-artifact@v2
        with:
          path: /tmp/workspace/logs
      - name: Move all log files into a single directory
        run: |
          rsync -a /tmp/workspace/logs/output-*/ ./logs
          ls -R ./logs
      - name: Parse logs
        run: |
          shopt -s globstar
          wget https://raw.githubusercontent.com/pydata/xarray/master/.github/workflows/parse_logs.py
          python parse_logs.py logs/**/*-log
      - name: Report failures
        uses: actions/github-script@v3
        with:
          github-token: ${{ secrets.GITHUB_TOKEN }}
          script: |
            const fs = require('fs');
            const pytest_logs = fs.readFileSync('pytest-logs.txt', 'utf8');
            const title = "⚠️ Nightly upstream-dev CI failed ⚠️"
            const workflow_url = `https://github.com/${process.env.GITHUB_REPOSITORY}/actions/runs/${process.env.GITHUB_RUN_ID}`
            const issue_body = `[Workflow Run URL](${workflow_url})\n${pytest_logs}`
            // Run GraphQL query against GitHub API to find the most recent open issue used for reporting failures
            const query = `query($owner:String!, $name:String!, $creator:String!, $label:String!){
              repository(owner: $owner, name: $name) {
                issues(first: 1, states: OPEN, filterBy: {createdBy: $creator, labels: [$label]}, orderBy: {field: CREATED_AT, direction: DESC}) {
                  edges {
                    node {
                      body
                      id
                      number
                    }
                  }
                }
              }
            }`;
            const variables = {
                owner: context.repo.owner,
                name: context.repo.repo,
                label: 'CI',
                creator: "github-actions[bot]"
            }
            const result = await github.graphql(query, variables)
            // If no issue is open, create a new issue,
            // else update the body of the existing issue.
            if (result.repository.issues.edges.length === 0) {
                github.rest.issues.create({
                    owner: variables.owner,
                    repo: variables.name,
                    body: issue_body,
                    title: title,
                    labels: [variables.label]
                })
            } else {
                github.rest.issues.update({
                    owner: variables.owner,
                    repo: variables.name,
                    issue_number: result.repository.issues.edges[0].node.number,
                    body: issue_body
                })
            }