Question

我按照 action/cache@v2 的 docs 编写了一个包含缓存的工作流。我正在使用 docker-compose 来托管我的 postgres 数据库并使用 django 框架（不在 docker 容器中）进行测试。

这是我的步骤：

runs-on: ubuntu-latest

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

    - name: Cache Dependencies
      uses: actions/cache@v2
      id: cache
      with:
        path: ~/.cache/pip
        key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements.txt') }}
        restore-keys: |
          ${{ runner.os }}-pip-
    - name: Install Dependencies
      if: steps.cache.outputs.cache-hit != 'true'
      run: |
        echo "Installing dependencies and caching them."
        python -m pip install --upgrade pip
        pip install -r requirements.txt
    - name: Start containers
      run: |
        pip cache dir
        cp .env.example .env
        docker-compose -f "docker-compose.yml" up -d --build
    - name: Run Tests
      run: |
        sleep 20
        coverage run manage.py test -v 2 && coverage report
        flake8
    - name: Stop containers
      if: always()
      run: docker-compose -f "docker-compose.yml" down

我的 requirements.txt 已经包含了正确的包，为什么第一次运行构建而不缓存它是成功的，没有任何问题。问题是在第一个之后的任何构建，在找到缓存之后：

Run actions/cache@v2   with:
    path: ~/.cache/pip
    key: Linux-pip-0066acd4cae425b2654d95aae80b2bb4fda1c99d40c709cc1fa8a1595759a2c5
    restore-keys: Linux-pip-
     env:
    pythonLocation: /opt/hostedtoolcache/Python/3.8.10/x64
    LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.10/x64/lib Received 0 of 63168059 (0.0%), 0.0 MBs/sec Received 63168059 of 63168059 (100.0%), 33.1 MBs/sec Cache Size: ~60 MB (63168059 B) /usr/bin/tar --use-compress-program zstd -d -xf /home/runner/work/_temp/3f7aab5a-e81f-4039-889e-c0879488e8e8/cache.tzst
-P -C /home/runner/work/base.django/base.django Cache restored successfully Cache restored from key: Linux-pip-0066acd4cae425b2654d95aae80b2bb4fda1c99d40c709cc1fa8a1595759a2c5

由于没有找到来自requirements.txt的包，测试返回错误：

Run sleep 20
  sleep 20
  coverage run manage.py test -v 2 && coverage report
  flake8
  shell: /usr/bin/bash -e {0}
  env:
    pythonLocation: /opt/hostedtoolcache/Python/3.8.10/x64
    LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.10/x64/lib
/home/runner/work/_temp/62e260b4-7d93-4a7c-a3e1-e930c4ea36b1.sh: line 2: coverage: command not found
/home/runner/work/_temp/62e260b4-7d93-4a7c-a3e1-e930c4ea36b1.sh: line 3: flake8: command not found
Error: Process completed with exit code 127.

即使我指定了与缓存文档相同的缓存路径并且它与 pip 文档 https://pip.pypa.io/en/stable/cli/pip_install/#caching 是正确的？

这里是pip cache dir打印出来的内容：

<块引用>

/home/runner/.cache/pip

我不知道为什么即使缓存路径正确也找不到依赖项

Answer 1

过了一会儿，我发现这个 article 来缓存 env python 位置，现在缓存工作正常

- uses: actions/cache@v2
  with:
    path: ${{ env.pythonLocation }}
    key: ${{ env.pythonLocation }}-pip-${{ hashFiles('requirements.txt') }}

我不知道为什么缓存整个 python 路径有效，但缓存目录没有。也许将来有人可以给出明确的解释，现在这就是我解决的问题

找到缓存后，github 操作 pip 依赖项不起作用

1 个答案: