feat: ci check import #285
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Summary of ChangesHello @shijinpjlab, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! 此拉取请求引入了一个新的持续集成（CI）检查机制。通过添加 Highlights
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Code Review
This pull request introduces a CI script to check for syntax errors in Python files across the project, which is a valuable addition for maintaining code quality. My review includes a few suggestions to enhance the script's robustness and clarity. These include removing an unused import, refining the docstring to more accurately describe the script's function, and improving the method for excluding __pycache__ directories from the check.
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| #!/usr/bin/env python3 | |||
| """检查所有Python文件是否可以成功编译和导入""" | |||
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The docstring and filename check_imports.py are slightly misleading. The script uses py_compile, which primarily checks for syntax errors and can catch malformed import statements, but it doesn't perform a full import resolution that would detect runtime issues like circular dependencies or modules missing from sys.path. To be more accurate, the docstring should clarify that the script performs a syntax/compilation check.
| """检查所有Python文件是否可以成功编译和导入""" | |
| """检查所有Python文件的语法正确性""" |
| #!/usr/bin/env python3 | ||
| """检查所有Python文件是否可以成功编译和导入""" | ||
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| import os |
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The os module is imported but is not used within the script. It's best practice to remove unused imports to maintain code cleanliness and avoid potential confusion.
| print("-" * 60) | ||
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| for py_file in dingo_path.rglob("*.py"): | ||
| if "__pycache__" in str(py_file): |
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The current method of checking for __pycache__ by converting the path to a string is not fully robust. It could lead to false positives if a file or directory in the path contains __pycache__ as part of its name (e.g., my__pycache__project). A more reliable way is to check the components of the path using pathlib.Path.parts.
| if "__pycache__" in str(py_file): | |
| if "__pycache__" in py_file.parts: |
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