pytest.yml

# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions

name: pytest

on:
  push:
    branches: ["master", "release-*"]
  pull_request:
    branches: ["master", "release-*"]

# We want an ongoing run of this workflow to be canceled by a later commit
# so that there is only one concurrent run of this workflow for each branch
concurrency:
  group: pytest-${{ github.head_ref || github.sha }}
  cancel-in-progress: true

jobs:
  pytest:
    runs-on: ${{ matrix.os }}
    strategy:
      fail-fast: false
      matrix:
        os: [ubuntu-latest]
        python-version: ["3.8", "3.9", "3.10"]
        test-markers: ["not distributed", "distributed"]
        include:
          - python-version: "3.8"
            pytorch-version: 1.13.0
            torchscript-version: 1.10.2
            ray-version: 2.2.0
          - python-version: "3.9"
            pytorch-version: 2.0.0
            torchscript-version: 1.10.2
            ray-version: 2.3.0
          - python-version: "3.10"
            pytorch-version: nightly
            torchscript-version: 1.10.2
            ray-version: 2.3.1
    env:
      PYTORCH: ${{ matrix.pytorch-version }}
      MARKERS: ${{ matrix.test-markers }}
      NEUROPOD_BASE_DIR: "/usr/local/lib/neuropod"
      NEUROPOD_VERISON: "0.3.0-rc6"
      TORCHSCRIPT_VERISON: ${{ matrix.torchscript-version }}
      RAY_VERSION: ${{ matrix.ray-version }}
      AWS_ACCESS_KEY_ID: ${{ secrets.LUDWIG_TESTS_AWS_ACCESS_KEY_ID }}
      AWS_SECRET_ACCESS_KEY: ${{ secrets.LUDWIG_TESTS_AWS_SECRET_ACCESS_KEY }}
      KAGGLE_USERNAME: ${{ secrets.KAGGLE_USERNAME }}
      KAGGLE_KEY: ${{ secrets.KAGGLE_KEY }}
      IS_NOT_FORK: ${{ !(github.event.pull_request.base.repo.full_name == 'ludwig-ai/ludwig' && github.event.pull_request.head.repo.fork) }}

    name: py${{ matrix.python-version  }}, torch-${{ matrix.pytorch-version }}, ${{ matrix.test-markers }}, ${{ matrix.os }}, ray ${{ matrix.ray-version }}
    services:
      minio:
        image: fclairamb/minio-github-actions
        env:
          MINIO_ACCESS_KEY: minio
          MINIO_SECRET_KEY: minio123
        ports:
          - 9000:9000

    timeout-minutes: 150
    steps:
      - name: Setup ludwigai/ludwig-ray container for local testing with act.
        if: ${{ env.ACT }}
        run: |
          curl -fsSL https://deb.nodesource.com/setup_16.x | sudo -E bash -
          sudo apt-get install -y nodejs
          sudo mkdir -p /opt/hostedtoolcache/
          sudo chmod 777 -R /opt/hostedtoolcache/
      - uses: actions/checkout@v2
      - name: Set up Python ${{ matrix.python-version }}
        uses: actions/setup-python@v2
        with:
          python-version: ${{ matrix.python-version }}

      - name: Setup Linux
        if: runner.os == 'linux'
        run: |
          sudo apt-get update && sudo apt-get install -y cmake libsndfile1 wget libsox-dev

      - name: Setup macOS
        if: runner.os == 'macOS'
        run: |
          brew install libuv

      - name: pip cache
        if: ${{ !env.ACT }}
        uses: actions/cache@v2
        with:
          path: ~/.cache/pip
          key: ${{ runner.os }}-pip-py${{ matrix.python-version }}-torch${{ matrix.pytorch-version }}-${{ matrix.test-markers }}-${{ hashFiles('requirements*.txt', '.github/workflows/pytest.yml') }}

      - name: Debug out of space
        run: |
          du -h -d 1 ~
          df -h

      - name: Install dependencies
        run: |
          python --version
          pip --version
          python -m pip install -U pip
          cmake --version

          # remove torch and ray from the dependencies so we can add them depending on the matrix args for the job.
          cat requirements.txt | sed '/^torch[>=<\b]/d' | sed '/^torchtext/d' | sed '/^torchvision/d' | sed '/^torchaudio/d' > requirements-temp && mv requirements-temp requirements.txt
          cat requirements_distributed.txt | sed '/^ray[\[]/d'

          if [ "$MARKERS" != "distributed" ]; then
            # Skip distributed and hyperopt requirements to test optional imports
            echo > requirements-temp && mv requirements-temp requirements_distributed.txt
            echo > requirements-temp && mv requirements-temp requirements_hyperopt.txt

            # Skip distributed tree requirement (lightgbm-ray)
            cat requirements_tree.txt | sed '/^lightgbm-ray/d' > requirements-temp && mv requirements-temp requirements_tree.txt
          else
            if [ "$RAY_VERSION" == "nightly" ]; then
              # NOTE: hardcoded for python 3.10 on Linux
              echo "ray[default,data,serve,tune] @ https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp310-cp310-manylinux2014_x86_64.whl" >> requirements_distributed.txt
            else
              echo "ray[default,data,serve,tune]==$RAY_VERSION" >> requirements_distributed.txt
            fi
          fi

          if [ "$PYTORCH" == "nightly" ]; then
            extra_index_url=https://download.pytorch.org/whl/nightly/cpu
            pip install --pre torch torchtext torchvision torchaudio --index-url $extra_index_url

          else
            extra_index_url=https://download.pytorch.org/whl/cpu
            pip install torch==$PYTORCH torchtext torchvision torchaudio --extra-index-url $extra_index_url
          fi

          pip install '.[test]' --extra-index-url $extra_index_url
          pip list

          if [ "$PYTORCH" == "nightly" ]; then
            python -c "from packaging import version; import torch; assert version.parse(torch.__version__).release >= version.parse(\"2.0.0\").release, f\"torch {version.parse(torch.__version__).release} < version.parse(\'2.0.0\').release\""
          else
            python -c "from packaging import version; import torch; assert version.parse(torch.__version__).release == version.parse(\"$PYTORCH\").release, f\"torch {version.parse(torch.__version__).release} != version.parse(\'$PYTORCH\').release\""
          fi

          if [ "$MARKERS" == "distributed" ]; then
            python -c "from packaging import version; import ray; assert version.parse(ray.__version__).release == version.parse(\"$RAY_VERSION\").release, f\"ray {version.parse(ray.__version__).release} != version.parse(\'$RAY_VERSION\').release\""
          else
            python -c "import importlib.util; assert importlib.util.find_spec('ray') is None, \"found ray but expected it to not be installed\""
          fi
        shell: bash

      - name: Install Neuropod backend
        run: |
          sudo mkdir -p "$NEUROPOD_BASE_DIR"
          curl -L https://github.com/uber/neuropod/releases/download/v${{ env.NEUROPOD_VERISON }}/libneuropod-cpu-linux-v${{ env.NEUROPOD_VERISON }}-torchscript-${{ env.TORCHSCRIPT_VERISON }}-backend.tar.gz | sudo tar -xz -C "$NEUROPOD_BASE_DIR"
        shell: bash

      - name: Unit Tests
        run: |
          RUN_PRIVATE=$IS_NOT_FORK LUDWIG_TEST_SUITE_TIMEOUT_S=5400 pytest -v --timeout 300 --durations 100 -m "$MARKERS and not slow and not combinatorial and not horovod and not llm" --junitxml pytest.xml tests/ludwig

      - name: Regression Tests
        run: |
          RUN_PRIVATE=$IS_NOT_FORK LUDWIG_TEST_SUITE_TIMEOUT_S=5400 pytest -v --timeout 300 --durations 100 -m "$MARKERS and not slow and not combinatorial and not horovod or benchmark and not llm" --junitxml pytest.xml tests/regression_tests

      # Skip Horovod and replace with DDP.
      # https://github.com/ludwig-ai/ludwig/issues/3468
      # - name: Install Horovod if necessary
      #   if: matrix.test-markers == 'distributed' && matrix.pytorch-version != 'nightly'
      #   env:
      #     HOROVOD_WITH_PYTORCH: 1
      #     HOROVOD_WITHOUT_MPI: 1
      #     HOROVOD_WITHOUT_TENSORFLOW: 1
      #     HOROVOD_WITHOUT_MXNET: 1
      #   run: |
      #     pip install -r requirements_extra.txt
      #     HOROVOD_BUILT=$(python -c "import horovod.torch; horovod.torch.nccl_built(); print('SUCCESS')" || true)
      #     if [[ $HOROVOD_BUILT != "SUCCESS" ]]; then
      #       pip uninstall -y horovod
      #       pip install --no-cache-dir git+https://github.com/horovod/horovod.git@master
      #     fi
      #     horovodrun --check-build
      #   shell: bash

      # Skip Horovod tests and replace with DDP.
      # https://github.com/ludwig-ai/ludwig/issues/3468
      # - name: Horovod Tests
      #   if: matrix.test-markers == 'distributed' && matrix.pytorch-version != 'nightly'
      #   run: |
      #     RUN_PRIVATE=$IS_NOT_FORK LUDWIG_TEST_SUITE_TIMEOUT_S=5400 pytest -v --timeout 300 --durations 100 -m "$MARKERS and horovod and not slow and not combinatorial and not llm" --junitxml pytest.xml tests/

      - name: Upload Unit Test Results
        if: ${{ always() && !env.ACT }}
        uses: actions/upload-artifact@v2
        with:
          name: Unit Test Results (Python ${{ matrix.python-version }} ${{ matrix.test-markers }})
          path: pytest.xml

  integration-tests:
    name: ${{ matrix.test-markers }}
    runs-on: ubuntu-latest
    strategy:
      fail-fast: false
      matrix:
        test-markers:
          - "integration_tests_a"
          - "integration_tests_b"
          - "integration_tests_c"
          - "integration_tests_d"
          - "integration_tests_e"
          - "integration_tests_f"

    env:
      AWS_ACCESS_KEY_ID: ${{ secrets.LUDWIG_TESTS_AWS_ACCESS_KEY_ID }}
      AWS_SECRET_ACCESS_KEY: ${{ secrets.LUDWIG_TESTS_AWS_SECRET_ACCESS_KEY }}
      KAGGLE_USERNAME: ${{ secrets.KAGGLE_USERNAME }}
      KAGGLE_KEY: ${{ secrets.KAGGLE_KEY }}
      IS_NOT_FORK: ${{ !(github.event.pull_request.base.repo.full_name == 'ludwig-ai/ludwig' && github.event.pull_request.head.repo.fork) }}
      MARKERS: ${{ matrix.test-markers }}

    services:
      minio:
        image: fclairamb/minio-github-actions
        env:
          MINIO_ACCESS_KEY: minio
          MINIO_SECRET_KEY: minio123
        ports:
          - 9000:9000

    timeout-minutes: 90
    steps:
      - uses: actions/checkout@v2
      - name: Set up Python 3.9
        uses: actions/setup-python@v2
        with:
          python-version: 3.9

      - name: Setup Linux
        if: runner.os == 'linux'
        run: |
          sudo apt-get update && sudo apt-get install -y cmake libsndfile1

      - name: Setup macOS
        if: runner.os == 'macOS'
        run: |
          brew install libuv

      - name: Install dependencies
        run: |
          python --version
          pip --version
          python -m pip install -U pip

          # remove torch and ray from the dependencies so we can add them depending on the matrix args for the job.
          cat requirements.txt | sed '/^torch[>=<\b]/d' | sed '/^torchtext/d' | sed '/^torchvision/d' | sed '/^torchaudio/d' > requirements-temp && mv requirements-temp requirements.txt
          cat requirements_distributed.txt | sed '/^ray[\[]/d'
          pip install torch==2.0.0 torchtext torchvision torchaudio
          pip install ray==2.3.0
          pip install '.[test]'
          pip list
        shell: bash

      - name: Integration Tests
        run: |
          RUN_PRIVATE=$IS_NOT_FORK LUDWIG_TEST_SUITE_TIMEOUT_S=7200 pytest -v --timeout 300 --durations 100 -m "not slow and not combinatorial and not horovod and not llm and $MARKERS" --junitxml pytest.xml tests/integration_tests

  llm-tests:
    name: LLM Tests
    runs-on: ubuntu-latest

    timeout-minutes: 60
    steps:
      - uses: actions/checkout@v2
      - name: Set up Python 3.9
        uses: actions/setup-python@v2
        with:
          python-version: 3.9

      - name: Setup Linux
        if: runner.os == 'linux'
        run: |
          sudo apt-get update && sudo apt-get install -y cmake libsndfile1

      - name: Setup macOS
        if: runner.os == 'macOS'
        run: |
          brew install libuv

      - name: Install dependencies
        run: |
          python --version
          pip --version
          python -m pip install -U pip

          # remove torch and ray from the dependencies so we can add them depending on the matrix args for the job.
          cat requirements.txt | sed '/^torch[>=<\b]/d' | sed '/^torchtext/d' | sed '/^torchvision/d' | sed '/^torchaudio/d' > requirements-temp && mv requirements-temp requirements.txt
          cat requirements_distributed.txt | sed '/^ray[\[]/d'
          pip install torch==2.0.0 torchtext torchvision torchaudio
          pip install ray==2.3.0
          pip install '.[test]'
          pip list
        shell: bash

      - name: LLM Tests
        run: |
          pytest -vs --durations 100 -m "llm" --junitxml pytest.xml tests

  combinatorial-tests:
    name: Combinatorial Tests
    runs-on: ubuntu-latest

    timeout-minutes: 60
    steps:
      - uses: actions/checkout@v2
      - name: Set up Python 3.8
        uses: actions/setup-python@v2
        with:
          python-version: 3.8

      - name: Setup Linux
        if: runner.os == 'linux'
        run: |
          sudo apt-get update && sudo apt-get install -y cmake libsndfile1

      - name: Setup macOS
        if: runner.os == 'macOS'
        run: |
          brew install libuv

      - name: Install dependencies
        run: |
          python --version
          pip --version
          python -m pip install -U pip
          pip install '.[test]'
          pip list
        shell: bash

      - name: Testing combinatorial config generation code
        run: |
          pytest -vs --durations 100 -m "combinatorial" --junitxml pytest.xml tests/ludwig/config_sampling

      - name: Combinatorial Tests
        run: |
          pytest -rx --durations 100 -m "combinatorial" --junitxml pytest.xml tests/training_success

  test-minimal-install:
    name: Test Minimal Install
    runs-on: ubuntu-latest

    timeout-minutes: 15
    steps:
      - uses: actions/checkout@v2
      - name: Set up Python 3.8
        uses: actions/setup-python@v2
        with:
          python-version: 3.8

      - name: Setup Linux
        if: runner.os == 'linux'
        run: |
          sudo apt-get update && sudo apt-get install -y cmake libsndfile1

      - name: Setup macOS
        if: runner.os == 'macOS'
        run: |
          brew install libuv

      - name: Install dependencies
        run: |
          python --version
          pip --version
          python -m pip install -U pip
          pip install torch==2.0.0 torchtext
          pip install ray==2.3.0
          pip install '.'
          pip list
        shell: bash
      - name: Check Install
        run: |
          ludwig check_install
        shell: bash

      - name: Test Getting Started
        run: |
          cd examples/getting_started && sh ./run.sh
        shell: bash

  # start-runner:
  #   name: Start self-hosted EC2 runner
  #   if: >
  #     always() && needs.pytest.result != 'failure' && (
  #     github.event_name == 'schedule' && github.repository == 'ludwig-ai/ludwig' ||
  #     github.event_name == 'push' && github.repository == 'ludwig-ai/ludwig' ||
  #     github.event_name == 'pull_request' && github.event.pull_request.base.repo.full_name == 'ludwig-ai/ludwig' && !github.event.pull_request.head.repo.fork)
  #   needs: pytest
  #   runs-on: ubuntu-latest
  #   outputs:
  #     label: ${{ steps.start-ec2-runner.outputs.label }}
  #     ec2-instance-id: ${{ steps.start-ec2-runner.outputs.ec2-instance-id }}

  #   steps:
  #     - name: Configure AWS credentials
  #       uses: aws-actions/configure-aws-credentials@v1
  #       with:
  #         aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
  #         aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
  #         aws-region: ${{ secrets.AWS_REGION }}

  #     - name: Start EC2 runner
  #       id: start-ec2-runner
  #       uses: machulav/ec2-github-runner@v2.3.2
  #       with:
  #         mode: start
  #         github-token: ${{ secrets.GH_PERSONAL_ACCESS_TOKEN }}
  #         ec2-image-id: ami-0759580dedc953d1f
  #         ec2-instance-type: g4dn.xlarge
  #         subnet-id: subnet-0983be43
  #         security-group-id: sg-4cba0d08
  #         aws-resource-tags: >
  #           [
  #             {"Key": "Name", "Value": "ludwig-github-${{ github.head_ref || github.sha }}"},
  #             {"Key": "GitHubRepository", "Value": "${{ github.repository }}"},
  #             {"Key": "GitHubHeadRef", "Value": "${{ github.head_ref }}"},
  #             {"Key": "GitHubSHA", "Value": "${{ github.sha }}"}
  #           ]

  # pytest-gpu:
  #   if: needs.start-runner.result != 'skipped'
  #   needs: start-runner # required to start the main job when the runner is ready
  #   runs-on: ${{ needs.start-runner.outputs.label }} # run the job on the newly created runners
  #   strategy:
  #     fail-fast: false
  #     matrix:
  #       python-version: [3.7]
  #       include:
  #         - python-version: 3.7
  #           pytorch-version: 1.10.0
  #           torchscript-version: 1.10.2
  #   env:
  #     PYTORCH: ${{ matrix.pytorch-version }}
  #     NEUROPOD_BASE_DIR: "/usr/local/lib/neuropod"
  #     NEUROPOD_VERISON: "0.3.0-rc6"
  #     TORCHSCRIPT_VERISON: ${{ matrix.torchscript-version }}

  #   name: py${{ matrix.python-version  }}, torch-${{ matrix.pytorch-version }}, gpu

  #   timeout-minutes: 70
  #   steps:
  #     - uses: actions/checkout@v2
  #     - name: Set up Python ${{ matrix.python-version }}
  #       uses: actions/setup-python@v2
  #       with:
  #         python-version: ${{ matrix.python-version }}

  #     - name: Setup Linux
  #       if: runner.os == 'linux'
  #       run: |
  #         sudo apt-get update && sudo apt-get install -y libsndfile1 cmake ccache build-essential g++-8 gcc-8
  #         cmake --version

  #     - name: Install CUDA drivers
  #       run: |
  #         wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-ubuntu2004.pin
  #         sudo mv cuda-ubuntu2004.pin /etc/apt/preferences.d/cuda-repository-pin-600
  #         wget https://developer.download.nvidia.com/compute/cuda/11.5.1/local_installers/cuda-repo-ubuntu2004-11-5-local_11.5.1-495.29.05-1_amd64.deb
  #         sudo dpkg -i cuda-repo-ubuntu2004-11-5-local_11.5.1-495.29.05-1_amd64.deb
  #         sudo apt-key add /var/cuda-repo-ubuntu2004-11-5-local/7fa2af80.pub
  #         sudo apt-get update
  #         sudo apt-get -y install cuda
  #       shell: bash

  #     - name: pip cache
  #       uses: actions/cache@v2
  #       with:
  #         path: ~/.cache/pip
  #         key: ${{ runner.os }}-pip-py${{ matrix.python-version }}-torch${{ matrix.pytorch-version }}-${{ hashFiles('requirements*.txt') }}
  #         restore-keys: |
  #           ${{ runner.os }}-pip-py${{ matrix.python-version }}-torch${{ matrix.pytorch-version }}-

  #     - name: Install dependencies
  #       env:
  #         HOROVOD_WITH_PYTORCH: 1
  #         HOROVOD_WITHOUT_MPI: 1
  #         HOROVOD_WITHOUT_TENSORFLOW: 1
  #         HOROVOD_WITHOUT_MXNET: 1
  #       run: |
  #         python --version
  #         pip --version
  #         python -m pip install -U pip
  #         if [ $PYTORCH == "nightly" ]; then
  #           cat requirements.txt | sed '/^torch[>=<]/d' > requirements-temp && mv requirements-temp requirements.txt
  #           pip install --pre torch torchvision -f https://download.pytorch.org/whl/torch_stable.html
  #         else
  #           pip install torch==${PYTORCH}+cu111 -f https://download.pytorch.org/whl/torch_stable.html
  #         fi
  #         # pip install --no-cache-dir git+https://github.com/horovod/horovod.git@master
  #         pip install dulwich==0.20.26 # workaround for `/usr/bin/ld: cannot find -lpython3.7m`
  #         pip install '.[test]'
  #         pip list
  #       shell: bash

  #     - name: Install Neuropod backend
  #       run: |
  #         sudo mkdir -p "$NEUROPOD_BASE_DIR"
  #         curl -L https://github.com/uber/neuropod/releases/download/v${{ env.NEUROPOD_VERISON }}/libneuropod-cpu-linux-v${{ env.NEUROPOD_VERISON }}-torchscript-${{ env.TORCHSCRIPT_VERISON }}-backend.tar.gz | sudo tar -xz -C "$NEUROPOD_BASE_DIR"
  #       shell: bash

  #     - name: Reinstall Horovod if necessary
  #       env:
  #         HOROVOD_WITH_PYTORCH: 1
  #         HOROVOD_WITHOUT_MPI: 1
  #         HOROVOD_WITHOUT_TENSORFLOW: 1
  #         HOROVOD_WITHOUT_MXNET: 1
  #       run: |
  #         HOROVOD_BUILT=$(python -c "import horovod.torch; horovod.torch.nccl_built(); print('SUCCESS')" || true)
  #         if [[ $HOROVOD_BUILT != "SUCCESS" ]]; then
  #           pip uninstall -y horovod
  #           pip install --no-cache-dir git+https://github.com/horovod/horovod.git@master
  #         fi
  #         horovodrun --check-build
  #       shell: bash

  #     - name: Check CUDA is available
  #       run: |
  #         python -c "import torch; assert torch.cuda.is_available()"

  #     - name: Tests
  #       run: |
  #         pytest -v --timeout 300 --durations 10 --junitxml pytest.xml tests

  #     - name: Upload Unit Test Results
  #       if: always()
  #       uses: actions/upload-artifact@v2
  #       with:
  #         name: Unit Test Results (Python ${{ matrix.python-version }} gpu
  #         path: pytest.xml

  event_file:
    name: "Event File"
    runs-on: ubuntu-latest

    steps:
      - name: Upload
        if: ${{ !env.ACT }}
        uses: actions/upload-artifact@v2
        with:
          name: Event File
          path: ${{ github.event_path }}

  # stop-runner:
  #   name: Stop self-hosted EC2 runner

  #   # required to stop the runner even if the error happened in the previous job
  #   if: always() && needs.start-runner.result != 'skipped'
  #   needs:
  #     - start-runner # required to get output from the start-runner job
  #     - pytest-gpu # required to wait when the main job is done
  #   runs-on: ubuntu-latest

  #   steps:
  #     - name: Configure AWS credentials
  #       uses: aws-actions/configure-aws-credentials@v1
  #       with:
  #         aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
  #         aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
  #         aws-region: ${{ secrets.AWS_REGION }}

  #     - name: Stop EC2 runner
  #       uses: machulav/ec2-github-runner@v2.2.0
  #       with:
  #         mode: stop
  #         github-token: ${{ secrets.GH_PERSONAL_ACCESS_TOKEN }}
  #         label: ${{ needs.start-runner.outputs.label }}
  #         ec2-instance-id: ${{ needs.start-runner.outputs.ec2-instance-id }}