openfederatedlearning/.github/workflows/task_runner_fedeval_dws_e2e.yml at 4a32f9340ad38179bc5aae44261a9fffdaf860a4 · securefederatedai/openfederatedlearning · GitHub

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---
# Task Runner E2E Evaluation tests for dockerized approach

name: Task_Runner_FedEval_DWS_E2E  # Please do not modify the name as it is used in the composite action

on:
  workflow_dispatch:
    inputs:
      num_rounds:
        description: "Number of rounds to train"
        required: false
        default: "5"
        type: string
      num_collaborators:
        description: "Number of collaborators"
        required: false
        default: "2"
        type: string
      job_to_run:
        description: "Job to run (tls, non_tls, no_client_auth, all)"
        required: true
        default: "all"
        type: choice
        options:
          - tls
          - non_tls
          - no_client_auth
          - all

permissions:
  contents: read

# Environment variables common for all the jobs
env:
  NUM_ROUNDS: ${{ inputs.num_rounds || '5' }}
  NUM_COLLABORATORS: ${{ inputs.num_collaborators || '2' }}
  JOB_TO_RUN: ${{ inputs.job_to_run || 'all' }}

jobs:
  input_selection:
    if: |
      (github.event_name == 'schedule' && github.repository_owner == 'securefederatedai') ||
      (github.event_name == 'workflow_dispatch')
    name: Input value selection
    runs-on: ubuntu-22.04
    outputs:
      selected_jobs: ${{ env.JOB_TO_RUN }}
    steps:
      - name: Job to select input values
        id: input_selection
        run: |
          echo "jobs_to_run=${{ env.JOBS_TO_RUN }}"

  test_with_tls:
    name: With TLS
    needs: input_selection
    runs-on: ubuntu-22.04
    timeout-minutes: 15
    if: needs.input_selection.outputs.selected_jobs == 'tls' || needs.input_selection.outputs.selected_jobs == 'all'
    strategy:
      matrix:
        # IMP: Models requiring higher config might fail on current GitHub runners due to resource constraints.
        model_name: ["keras/mnist", "keras/jax/mnist", "keras/torch/mnist"]
        python_version: ["3.10"]
      fail-fast: false # do not immediately fail if one of the combinations fail

    env:
      MODEL_NAME: ${{ matrix.model_name }}
      PYTHON_VERSION: ${{ matrix.python_version }}

    steps:
      - name: Checkout OpenFL repository
        id: checkout_openfl
        uses: actions/checkout@v6
        with:
          fetch-depth: 2 # needed for detecting changes
          submodules: "true"
          token: ${{ secrets.GITHUB_TOKEN }}

      - name: Pre test run
        uses: ./.github/actions/tr_pre_test_run
        if: ${{ always() }}

      - name: Run Task Runner E2E tests with TLS
        id: run_tests
        run: |
          python -m pytest -s tests/end_to_end/test_suites/tr_with_fedeval_tests.py \
          -m task_runner_dockerized_ws --model_name ${{ env.MODEL_NAME }} \
          --num_rounds ${{ env.NUM_ROUNDS }} --num_collaborators ${{ env.NUM_COLLABORATORS }}
          echo "Task runner end to end test run completed"

      - name: Post test run
        uses: ./.github/actions/tr_post_test_run
        if: ${{ always() }}
        with:
          test_type: "DWS_FedEval_With_TLS"

  test_without_tls:
    name: Without TLS
    needs: input_selection
    runs-on: ubuntu-22.04
    timeout-minutes: 15
    if: needs.input_selection.outputs.selected_jobs == 'non_tls' || needs.input_selection.outputs.selected_jobs == 'all'
    strategy:
      matrix:
        model_name: ["keras/mnist"]
        python_version: ["3.10"]
      fail-fast: false # do not immediately fail if one of the combinations fail

    env:
      MODEL_NAME: ${{ matrix.model_name }}
      PYTHON_VERSION: ${{ matrix.python_version }}

    steps:
      - name: Checkout OpenFL repository
        id: checkout_openfl
        uses: actions/checkout@v6
        with:
          fetch-depth: 2 # needed for detecting changes
          submodules: "true"
          token: ${{ secrets.GITHUB_TOKEN }}

      - name: Pre test run
        uses: ./.github/actions/tr_pre_test_run
        if: ${{ always() }}

      - name: Run Task Runner E2E tests without TLS
        id: run_tests
        run: |
          python -m pytest -s tests/end_to_end/test_suites/tr_with_fedeval_tests.py \
          -m task_runner_dockerized_ws --model_name ${{ env.MODEL_NAME }} \
          --num_rounds ${{ env.NUM_ROUNDS }} --num_collaborators ${{ env.NUM_COLLABORATORS }} --disable_tls
          echo "Task runner end to end test run completed"

      - name: Post test run
        uses: ./.github/actions/tr_post_test_run
        if: ${{ always() }}
        with:
          test_type: "DWS_FedEval_Without_TLS"

  test_without_client_auth:
    name: Without Client Auth
    needs: input_selection
    runs-on: ubuntu-22.04
    timeout-minutes: 15
    if: needs.input_selection.outputs.selected_jobs == 'no_client_auth' || needs.input_selection.outputs.selected_jobs == 'all'
    strategy:
      matrix:
        model_name: ["keras/mnist"]
        python_version: ["3.10"]
      fail-fast: false # do not immediately fail if one of the combinations fail

    env:
      MODEL_NAME: ${{ matrix.model_name }}
      PYTHON_VERSION: ${{ matrix.python_version }}

    steps:
      - name: Checkout OpenFL repository
        id: checkout_openfl
        uses: actions/checkout@v6
        with:
          fetch-depth: 2 # needed for detecting changes
          submodules: "true"
          token: ${{ secrets.GITHUB_TOKEN }}

      - name: Pre test run
        uses: ./.github/actions/tr_pre_test_run
        if: ${{ always() }}

      - name: Run Task Runner E2E tests without TLS
        id: run_tests
        run: |
          python -m pytest -s tests/end_to_end/test_suites/tr_with_fedeval_tests.py \
          -m task_runner_dockerized_ws --model_name ${{ env.MODEL_NAME }} \
          --num_rounds ${{ env.NUM_ROUNDS }} --num_collaborators ${{ env.NUM_COLLABORATORS }} --disable_client_auth
          echo "Task runner end to end test run completed"

      - name: Post test run
        uses: ./.github/actions/tr_post_test_run
        if: ${{ always() }}
        with:
          test_type: "DWS_FedEval_Without_Client_Auth"