TranslateProject/translated/tech/20191121 How to document Python code with Sphinx.md
2019-11-27 08:59:29 +08:00

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[#]: collector: (lujun9972)
[#]: translator: (geekpi)
[#]: reviewer: ( )
[#]: publisher: ( )
[#]: url: ( )
[#]: subject: (How to document Python code with Sphinx)
[#]: via: (https://opensource.com/article/19/11/document-python-sphinx)
[#]: author: (Moshe Zadka https://opensource.com/users/moshez)
如何使用 Sphinx 给 Python 代码写文档
======
最好将文档作为开发过程的一部分。Sphinx 加上 Tox让文档可以轻松书写并且外观漂亮。
![Python in a coffee cup.][1]
Python 代码可以在源码中包含文档。这种方式默认依靠 **docstring**,它以三引号格式定义。虽然文档的价值是很大的,但是代码没有充足的文档还是很常见。让我们演练一个场景,了解出色的文档的强大功能。
经历了太多白板技术面试,要求你实现斐波那契数列,你已经受够了。你回家用 Python 写了一个可重用的斐波那契计算器,使用浮点技巧来实现 O(1) 复杂度。
代码很简单:
```
# fib.py
import math
_SQRT_5 = math.sqrt(5)
_PHI = (1 + _SQRT_5) / 2
def approx_fib(n):
return round(_PHI**(n+1) / _SQRT_5)
```
(该斐波那契数列是四舍五入到最接近的整数的几何序列,这是我最喜欢的鲜为人知的数学事实之一。)
作为一个好人,你可以将代码开源,并将它放在 [PyPI][2] 上。setup.py 文件很简单:
```
import setuptools
setuptools.setup(
name='fib',
version='2019.1.0',
description='Fibonacci',
py_modules=["fib"],
)
```
但是,没有文档的代码是没有用的。因此,你可以向函数添加 docstring。我最喜欢的 docstring 样式之一是 [“Google” 样式][3]。标记很轻量,这在它位于源代码中时很好。
```
def approx_fib(n):
"""
Approximate Fibonacci sequence
Args:
n (int): The place in Fibonacci sequence to approximate
Returns:
float: The approximate value in Fibonacci sequence
"""
# ...
```
但是函数的文档只是成功的一半。普通文档对于情境化代码用法很重要。在这种情况下,上下文是恼人的技术面试。
有一种添加更多文档的方式Pythonic 模式通常是在 **docs/** 添加 **rst** 文件 [reStructuredText][4] 的缩写)。因此**docs/index.rst** 文件最终看起来像这样:
```
Fibonacci
=========
Are you annoyed at tech interviewers asking you to implement
the Fibonacci sequence?
Do you want to have some fun with them?
A simple
:code:`pip install fib`
is all it takes to tell them to,
um,
fib off.
.. automodule:: fib
:members:
```
我们完成了,对吧?我们已经将文本放在了文件中。人们应该看看。
### 使 Python 文档更漂亮
为了使你的文档看起来更漂亮,你可以利用 [Sphinx][5],它旨在制作漂亮的 Python 文档。这三个 Sphinx 扩展特别有用:
* **sphinx.ext.autodoc**:从模块内部获取文档
* **sphinx.ext.napoleon**:支持 Google 样式的 docstring
* **sphinx.ext.viewcode**:将 ReStructured Text 源码与生成的文档打包在一起
为了告诉 Sphinx 该生成什么以及如何生成,我们在 **docs/conf.py** 中配置一个辅助文件:
```
extensions = [
'sphinx.ext.autodoc',
'sphinx.ext.napoleon',
'sphinx.ext.viewcode',
]
# The name of the entry point, without the ".rst" extension.
# By convention this will be "index"
master_doc = "index"
# This values are all used in the generated documentation.
# Usually, the release and version are the same,
# but sometimes we want to have the release have an "rc" tag.
project = "Fib"
copyright = "2019, Moshe Zadka"
author = "Moshe Zadka"
version = release = "2019.1.0"
```
此文件使我们可以使用所需的所有元数据来发布代码,并注意扩展名(上面的注释说明了方式)。最后,要确保生成我们想要的文档,请使用 [Tox][6] 管理虚拟环境以确保我们顺利生成文档:
```
[tox]
# By default, .tox is the directory.
# Putting it in a non-dot file allows opening the generated
# documentation from file managers or browser open dialogs
# that will sometimes hide dot files.
toxworkdir = {toxinidir}/build/tox
[testenv:docs]
# Running sphinx from inside the "docs" directory
# ensures it will not pick up any stray files that might
# get into a virtual environment under the top-level directory
# or other artifacts under build/
changedir = docs
# The only dependency is sphinx
# If we were using extensions packaged separately,
# we would specify them here.
# A better practice is to specify a specific version of sphinx.
deps =
sphinx
# This is the sphinx command to generate HTML.
# In other circumstances, we might want to generate a PDF or an ebook
commands =
sphinx-build -W -b html -d {envtmpdir}/doctrees . {envtmpdir}/html
# We use Python 3.7. Tox sometimes tries to autodetect it based on the name of
# the testenv, but "docs" does not give useful clues so we have to be explicit.
basepython = python3.7
```
现在无论何时运行T ox它都会为你的 Python 代码生成漂亮的文档。
### 在 Python 中写文档很好
作为 Python 开发人员,我们可以使用的工具链很棒。 我们可以从 **docstring** 开始,添加 **.rst** 文件,然后添加 Sphinx 和 Tox 来为用户美化结果。
你对好的文档有何评价? 你还有其他喜欢的方式么? 请在评论中分享它们!
--------------------------------------------------------------------------------
via: https://opensource.com/article/19/11/document-python-sphinx
作者:[Moshe Zadka][a]
选题:[lujun9972][b]
译者:[geekpi](https://github.com/geekpi)
校对:[校对者ID](https://github.com/校对者ID)
本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译,[Linux中国](https://linux.cn/) 荣誉推出
[a]: https://opensource.com/users/moshez
[b]: https://github.com/lujun9972
[1]: https://opensource.com/sites/default/files/styles/image-full-size/public/lead-images/coffee_python.jpg?itok=G04cSvp_ (Python in a coffee cup.)
[2]: https://pypi.org/
[3]: http://google.github.io/styleguide/pyguide.html#381-docstrings
[4]: http://docutils.sourceforge.net/rst.html
[5]: http://www.sphinx-doc.org/en/master/
[6]: https://tox.readthedocs.io/en/latest/