Python: conda environment.yml is a dependency declaration; a docs-site static-analysis FAIL should not outweigh the product's PASS
维护者通常 1 天内回复
还没有人认领这个 Issue。
评估
- 难度
- 3/5
- 预计耗时
- 1-2 天
- 新手友好度
- 55/100
- Issue 类型
- 缺陷
- 描述清晰度
- 基本清楚
- 活跃度
- 活跃
- 技术栈
- anaconda, python
- 领域
- documentation, tooling
调研方向
The bug is in the dependency-management check and the documentation static-analysis check of project_validator, which the payload does not name by file. Start by grepping the Python sources for requirements.txt to find the dependency message, then reproduce with a repo that contains only environment.yml. Done when the message names the conda file and the docs sub-result WARNs instead of FAILing when the product check passes.
由索引模型根据 Issue 内容生成。
描述
handson-ml3 and PythonDataScienceHandbook declare their environment in environment.yml (conda) but the message pretends only requirements.txt exists ("declared in requirements.txt but not locked"). Every Sphinx/MkDocs Python project FAILs static-analysis "Documentation site: no static analyzer runs; Python: ruff check runs" — with the product passing, the docs sub-result should at most WARN, and the hint should name an rst/markdown linter.
Evidence from the corpus audit
ageron/handson-ml3, jakevdp/PythonDataScienceHandbook / dependency-management
- kind: UNSUPPORTED
- actual: handson-ml3
WARN: dependencies are declared in requirements.txt (Python packages) but not locked; PDSHWARN: ... declared in requirements.txt (Python packages) but not locked - expected: the conda environment should be named as a declaration (and judged:
environment.ymlpins are not a lock file either, but the message should not pretend only requirements.txt exists) - evidence: handson-ml3
environment.yml:1-4:name: homl3/channels:/- conda-forge/dependencies:;environment.yml:26:- python=3.10 # your beloved programming language! :); PDSHenvironment.yml(117 bytes);grep -rn -i "conda\|environment.yml" project_validator --include=*.py→ nothing - repro: a repo with
environment.ymlonly - confidence: high (conda is the dominant dependency tool of the Jupyter/data-science ecosystem)
Found by the regression-corpus audit (235 real repositories, one or more per ecosystem profile; corpus and expected results in corpus/). Evidence is quoted from the audited checkouts at the commits pinned in corpus/projects.toml; <checkouts>/<owner>__<repo> is such a checkout.
🤖 Generated with Claude Code
- 主要语言
- Python
- 星标
- 4
- 派生
- 1
- 平均合并
- 10 小时 41 分钟
- 30 天内合并 PR
- 79
环境准备
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- Fork 仓库，在一个分支上完成修改。
- 提交 Pull Request，并在描述里引用这个 Issue 编号。
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