Conda 和预提交，错误：未为“请求”安装库存根（或与 Python 3.10 不兼容）

Question

错误信息

在使用 conda 环境时，pre-commit我收到错误：

error: Library stubs not installed for "requests" (or incompatible with Python 3.10)

完整的错误消息是：

rc/export_data/plantuml_get_package.py:69: error: Library stubs not installed for "requests" (or incompatible with Python 3.10)
src/export_data/plantuml_get_package.py:69: note: Hint: "python3 -m pip install types-requests"
src/export_data/plantuml_get_package.py:69: note: (or run "mypy --install-types" to install all missing stub packages)
src/export_data/plantuml_get_package.py:69: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports
Found 1 error in 1 file (checked 24 source files)

错误消息中给出了默认的解决方案：

mypy --install-types

然而，要求已经满足：

Installing missing stub packages:
/usr/bin/python3 -m pip install types-requests

Install? [yN] y

Defaulting to user installation because normal site-packages is not writeable
Requirement already satisfied: types-requests in /usr/lib/python3/dist-packages (2.25)

康达·亚米尔

这表明它可能安装在设备上，但不是安装在 conda 环境中，但是，它应该是，因为以下 conda 环境已成功创建（最后 2 行）：

# run: conda env create --file environment.yml
# include new packages: conda env update --file environment.yml
name: someenvironment
channels:
  - conda-forge
  - conda
dependencies:
# Specify specific python version.
- python=3.10
- anaconda
- nb_conda
- conda:
# Run python tests.
  - pytest=6.1.2
# Convert notebooks to pdf.
  - nbconvert
  - matplotlib
# Support notebooks.
  - nb_conda
# Visualise graphs for PlantUML
  - graphviz
# Run graph software quickly
  - networkx
- pip
- pip:
# Compile pdf from python.
  - pdflatex
# Write unit tests on Jupyter notebooks.
  - testbook
# Auto generate docstrings
  - pyment
# Auto generate documentation.
  - pdoc3
# Code formatting compliance
  - black
# Generate diagrams.
  - plantuml
# Identify and remove dead code.
  - vulture
# Get PlantUML .jar file.
  - requests
  - types-requests

问题

所以我想知道，如何确保在环境中mypy识别该包？types-requests

Answer 1

在此讨论中找到了解决方案mypy将中的条目 更改为.pre-commit-config.yaml：

# Test if the variable typing is correct. (Variable typing is when you say:
# def is_larger(nr: int) -> bool: instead of def is_larger(nr). It makes
# it explicit what type of input and output a function has.
 - repo: https://github.com/pre-commit/mirrors-mypy
   rev: v0.950
   hooks:
    - id: mypy
      verbose: true
      args: [--show-error-codes]
      additional_dependencies: ['types-requests']

产生的输出：

mypy.....................................................................Passed
- hook id: mypy
- duration: 1.3s

Success: no issues found in 24 source files