beam_Python_CostBenchmarks_Dataflow.yml

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name: Python Cost Benchmarks Dataflow

on:
  schedule:
    - cron: '30 18 * * 6' # Run at 6:30 pm UTC on Saturdays
  workflow_dispatch:

#Setting explicit permissions for the action to avoid the default permissions which are `write-all` in case of pull_request_target event
permissions:
  actions: write
  pull-requests: read
  checks: read
  contents: read
  deployments: read
  id-token: none
  issues: read
  discussions: read
  packages: read
  pages: read
  repository-projects: read
  security-events: read
  statuses: read

# This allows a subsequently queued workflow run to interrupt previous runs
concurrency:
  group: '${{ github.workflow }} @ ${{ github.event.issue.number || github.sha || github.head_ref || github.ref }}-${{ github.event.schedule || github.event.comment.id || github.event.sender.login }}'
  cancel-in-progress: true

env:
  DEVELOCITY_ACCESS_KEY: ${{ secrets.DEVELOCITY_ACCESS_KEY }}
  GRADLE_ENTERPRISE_CACHE_USERNAME: ${{ secrets.GE_CACHE_USERNAME }}
  GRADLE_ENTERPRISE_CACHE_PASSWORD: ${{ secrets.GE_CACHE_PASSWORD }}
  INFLUXDB_USER: ${{ secrets.INFLUXDB_USER }}
  INFLUXDB_USER_PASSWORD: ${{ secrets.INFLUXDB_USER_PASSWORD }}

jobs:
  beam_Python_Cost_Benchmarks_Dataflow:
    if: |
      github.event_name == 'workflow_dispatch' ||
      (github.event_name == 'schedule' && github.repository == 'apache/beam')
    runs-on: [self-hosted, ubuntu-20.04, main]
    timeout-minutes: 900
    name: ${{ matrix.job_name }} (${{ matrix.job_phrase }})
    strategy:
      matrix:
        job_name: ["beam_Python_CostBenchmark_Dataflow"]
        job_phrase: ["Run Python Dataflow Cost Benchmarks"]
    steps:
      - uses: actions/checkout@v4
      - name: Setup repository
        uses: ./.github/actions/setup-action
        with:
          comment_phrase: ${{ matrix.job_phrase }}
          github_token: ${{ secrets.GITHUB_TOKEN }}
          github_job: ${{ matrix.job_name }} (${{ matrix.job_phrase }})
      - name: Setup Python environment
        uses: ./.github/actions/setup-environment-action
        with:
          python-version: '3.10'
      - name: Prepare test arguments
        uses: ./.github/actions/test-arguments-action
        with:
          test-type: load
          test-language: python
          argument-file-paths: |
            ${{ github.workspace }}/.github/workflows/cost-benchmarks-pipeline-options/python_wordcount.txt
            ${{ github.workspace }}/.github/workflows/cost-benchmarks-pipeline-options/python_tf_mnist_classification.txt
      # The env variables are created and populated in the test-arguments-action as "<github.job>_test_arguments_<argument_file_paths_index>"
      - name: get current time
        run: echo "NOW_UTC=$(date '+%m%d%H%M%S' --utc)" >> $GITHUB_ENV
      - name: Run wordcount on Dataflow
        uses: ./.github/actions/gradle-command-self-hosted-action
        timeout-minutes: 30
        with:
          gradle-command: :sdks:python:apache_beam:testing:load_tests:run
          arguments: |
            -PloadTest.mainClass=apache_beam.testing.benchmarks.wordcount.wordcount \
            -Prunner=DataflowRunner \
            -PpythonVersion=3.10 \
            '-PloadTest.args=${{ env.beam_Python_Cost_Benchmarks_Dataflow_test_arguments_1 }} --job_name=benchmark-tests-wordcount-python-${{env.NOW_UTC}} --output_file=gs://temp-storage-for-end-to-end-tests/wordcount/result_wordcount-${{env.NOW_UTC}}.txt' \
      - name: Run Tensorflow MNIST Image Classification on Dataflow
        uses: ./.github/actions/gradle-command-self-hosted-action
        timeout-minutes: 30
        with:
          gradle-command: :sdks:python:apache_beam:testing:load_tests:run
          arguments: |
            -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.tensorflow_mnist_classification_cost_benchmark \
            -Prunner=DataflowRunner \
            -PpythonVersion=3.10 \
            -PloadTest.requirementsTxtFile=apache_beam/ml/inference/tensorflow_tests_requirements.txt \
            '-PloadTest.args=${{ env.beam_Python_Cost_Benchmarks_Dataflow_test_arguments_2 }} --job_name=benchmark-tests-tf-mnist-classification-python-${{env.NOW_UTC}} --input_file=gs://apache-beam-ml/testing/inputs/it_mnist_data.csv --output_file=gs://temp-storage-for-end-to-end-tests/inference/result_tf_mnist-${{env.NOW_UTC}}.txt --model=gs://apache-beam-ml/models/tensorflow/mnist/' \