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181 lines
6.2 KiB
Markdown
181 lines
6.2 KiB
Markdown
[#]: collector: (lujun9972)
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[#]: translator: (geekpi)
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[#]: reviewer: ( )
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[#]: publisher: ( )
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[#]: url: ( )
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[#]: subject: (How to document Python code with Sphinx)
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[#]: via: (https://opensource.com/article/19/11/document-python-sphinx)
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[#]: author: (Moshe Zadka https://opensource.com/users/moshez)
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如何使用 Sphinx 给 Python 代码写文档
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======
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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。
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![Python in a coffee cup.][1]
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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。
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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。
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代码很简单:
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```
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# fib.py
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import math
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_SQRT_5 = math.sqrt(5)
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_PHI = (1 + _SQRT_5) / 2
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def approx_fib(n):
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return round(_PHI**(n+1) / _SQRT_5)
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```
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(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。)
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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:
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```
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import setuptools
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setuptools.setup(
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name='fib',
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version='2019.1.0',
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description='Fibonacci',
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py_modules=["fib"],
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)
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```
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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。
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```
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def approx_fib(n):
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"""
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Approximate Fibonacci sequence
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Args:
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n (int): The place in Fibonacci sequence to approximate
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Returns:
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float: The approximate value in Fibonacci sequence
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"""
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# ...
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```
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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。
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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:
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```
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Fibonacci
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=========
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Are you annoyed at tech interviewers asking you to implement
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the Fibonacci sequence?
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Do you want to have some fun with them?
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A simple
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:code:`pip install fib`
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is all it takes to tell them to,
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um,
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fib off.
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.. automodule:: fib
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:members:
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```
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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。
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### 使 Python 文档更漂亮
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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:
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* **sphinx.ext.autodoc**:从模块内部获取文档
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* **sphinx.ext.napoleon**:支持 Google 样式的 docstring
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* **sphinx.ext.viewcode**:将 ReStructured Text 源码与生成的文档打包在一起
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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:
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```
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extensions = [
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'sphinx.ext.autodoc',
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'sphinx.ext.napoleon',
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'sphinx.ext.viewcode',
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]
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# The name of the entry point, without the ".rst" extension.
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# By convention this will be "index"
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master_doc = "index"
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# This values are all used in the generated documentation.
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# Usually, the release and version are the same,
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# but sometimes we want to have the release have an "rc" tag.
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project = "Fib"
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copyright = "2019, Moshe Zadka"
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author = "Moshe Zadka"
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version = release = "2019.1.0"
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```
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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:
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```
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[tox]
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# By default, .tox is the directory.
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# Putting it in a non-dot file allows opening the generated
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# documentation from file managers or browser open dialogs
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# that will sometimes hide dot files.
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toxworkdir = {toxinidir}/build/tox
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[testenv:docs]
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# Running sphinx from inside the "docs" directory
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# ensures it will not pick up any stray files that might
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# get into a virtual environment under the top-level directory
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# or other artifacts under build/
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changedir = docs
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# The only dependency is sphinx
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# If we were using extensions packaged separately,
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# we would specify them here.
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# A better practice is to specify a specific version of sphinx.
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deps =
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sphinx
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# This is the sphinx command to generate HTML.
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# In other circumstances, we might want to generate a PDF or an ebook
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commands =
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sphinx-build -W -b html -d {envtmpdir}/doctrees . {envtmpdir}/html
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# We use Python 3.7. Tox sometimes tries to autodetect it based on the name of
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# the testenv, but "docs" does not give useful clues so we have to be explicit.
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basepython = python3.7
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```
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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。
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### 在 Python 中写文档很好
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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。
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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!
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--------------------------------------------------------------------------------
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via: https://opensource.com/article/19/11/document-python-sphinx
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作者:[Moshe Zadka][a]
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选题:[lujun9972][b]
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译者:[geekpi](https://github.com/geekpi)
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校对:[校对者ID](https://github.com/校对者ID)
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本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译,[Linux中国](https://linux.cn/) 荣誉推出
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[a]: https://opensource.com/users/moshez
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[b]: https://github.com/lujun9972
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[1]: https://opensource.com/sites/default/files/styles/image-full-size/public/lead-images/coffee_python.jpg?itok=G04cSvp_ (Python in a coffee cup.)
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[2]: https://pypi.org/
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[3]: http://google.github.io/styleguide/pyguide.html#381-docstrings
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[4]: http://docutils.sourceforge.net/rst.html
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[5]: http://www.sphinx-doc.org/en/master/
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[6]: https://tox.readthedocs.io/en/latest/ |