製作語言邏輯拼湊大腦迴路-接雲端資料庫 #2070
製作語言邏輯拼湊大腦迴路-接雲端資料庫 #2070
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This workflow installs Python dependencies, runs linting with flake8, and executes tests with pytest.
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| - name: Install dependencies | ||
| run: | | ||
| python -m pip install --upgrade pip | ||
| pip install flake8 pytest | ||
| if [ -f requirements.txt ]; then pip install -r requirements.txt; fi |
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This workflow only installs flake8 and pytest, and conditionally installs a requirements.txt that does not exist in this repo. When the later pytest step runs, none of the dependencies declared in pyproject.toml (installed in other workflows via make sync/uv) are present, so imports like pydantic or openai will raise ModuleNotFoundError and the job will fail on every push/PR. Consider using the same astral-sh/setup-uv + make sync sequence as the existing tests.yml job before invoking tests.
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Pull Request Overview
This PR adds a new GitHub Actions workflow file for Python CI/CD that installs dependencies, runs linting with flake8, and executes tests with pytest. However, this workflow conflicts with the existing project infrastructure.
Key changes:
- Adds a new
python-app.ymlworkflow triggered on pushes and PRs to main - Configures Python 3.10, flake8 for linting, and pytest for testing
- Installs dependencies using pip and optional requirements.txt file
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| - name: Set up Python 3.10 | ||
| uses: actions/setup-python@v3 |
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The workflow uses an outdated version of the setup-python action. The existing .github/workflows/tests.yml workflow in this repository uses astral-sh/setup-uv@v5, which is the project's standard approach for managing Python and dependencies. This new workflow should follow the same pattern or be removed if it duplicates functionality.
| - name: Set up Python 3.10 | |
| uses: actions/setup-python@v3 | |
| - name: Set up Python 3.10 with uv | |
| uses: astral-sh/setup-uv@v5 |
| python -m pip install --upgrade pip | ||
| pip install flake8 pytest | ||
| if [ -f requirements.txt ]; then pip install -r requirements.txt; fi |
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The dependency installation approach conflicts with the project's existing infrastructure. This project uses uv for dependency management with pyproject.toml (as seen in the existing .github/workflows/tests.yml), not pip with requirements.txt. The correct approach would be to use make sync after setting up uv, consistent with the project's Makefile and existing workflows.
| python -m pip install --upgrade pip | |
| pip install flake8 pytest | |
| if [ -f requirements.txt ]; then pip install -r requirements.txt; fi | |
| pip install pipx | |
| pipx install uv | |
| make sync |
Co-authored-by: Copilot <[email protected]>
|
完美合併 @copilot |
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This pull request introduces a new GitHub Actions workflow to automate Python application testing and linting for the
mainbranch. The workflow ensures that dependencies are installed, code quality is checked with flake8, and tests are run with pytest on every push and pull request.[Copilot is generating a summary...]
Continuous Integration Workflow:
.github/workflows/python-app.ymlto set up a CI pipeline that installs Python dependencies, runs flake8 for linting, and executes pytest for testing on pushes and pull requests to themainbranch.This workflow installs Python dependencies, runs linting with flake8, and executes tests with pytest.