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Sphinx AutoAPI ============== .. image:: https://readthedocs.org/projects/sphinx-autoapi/badge/?version=latest :target: https://sphinx-autoapi.readthedocs.org :alt: Documentation Status .. image:: https://travis-ci.org/rtfd/sphinx-autoapi.svg?branch=master :target: https://travis-ci.org/rtfd/sphinx-autoapi .. image:: https://ci.appveyor.com/api/projects/status/5nd33gp2eq7411t1?svg=true :target: https://ci.appveyor.com/project/ericholscher/sphinx-autoapi .. image:: https://img.shields.io/badge/code%20style-black-000000.svg :target: https://github.com/ambv/black .. warning:: This is a pre-release version. Some or all features might not work yet. Sphinx AutoAPI aims to provide "autodoc" or "javadoc" style documentation for Sphinx. The aim is to support all programming languages, be easy to use, and not require much configuration. AutoAPI is a parse-only solution for both static and dynamic languages. This is in contrast to the traditional `Sphinx autodoc <http://sphinx-doc.org/ext/autodoc.html>`_, which is Python-only and uses code imports. Full documentation can be found on `Read the Docs <http://sphinx-autoapi.readthedocs.org>`_. Contents -------- .. toctree:: :caption: Main :glob: :maxdepth: 2 config templates .. toctree:: :caption: API :glob: :maxdepth: 2 design directives Basic Workflow -------------- Sphinx AutoAPI has the following structure: * Configure directory to look for source files * Serialize those source files, using language-specific tooling * Map the serialized data into standard AutoAPI Python objects * Generate RST through Jinja2 templates from those Python objects This basic framework should be easy to implement in your language of choice. All you need to do is be able to generate a JSON structure that includes your API and docs for those classes, functions, etc. Install ------- First you need to install autoapi: .. code:: bash pip install sphinx-autoapi Then add it to your Sphinx project's ``conf.py``: .. code:: python extensions = ['autoapi.extension'] # Document Python Code autoapi_type = 'python' autoapi_dirs = ['path/to/python/files', 'path/to/more/python/files'] # Or, Document Go Code autoapi_type = 'go' autoapi_dirs = 'path/to/go/files' AutoAPI will automatically add itself to the last TOCTree in your top-level ``index.rst``. This is needed because we will be outputting rst files into the ``autoapi`` directory. This adds it into the global TOCTree for your project, so that it appears in the menus. We hope to be able to dynamically add items into the TOCTree, and remove this step. However, it is currently required. See all available configuration options in :doc:`config`. Setup ----- .NET ~~~~ The .NET mapping utilizes the tool `docfx`_. To install ``docfx``, first you'll need to `install a .NET runtime on your system <ASP.NET Installation>`_. The docfx tool can be installed with:: dnu commands install docfx By default, ``docfx`` will output metadata files into the ``_api`` path. You can configure which path to output files into by setting the path in your `docfx configuration file`_ in your project's repository. For example: .. code:: json { ... "metadata": [{ ... "dest": "docs/_api", ... }] } .. note:: The ``dest`` configuration option is required to output to the ``docs/`` path, where autoapi knows to search for these files. With a working ``docfx`` toolchain, you can now add the configuration options to enable the .NET autoapi mapper. In your ``conf.py``: .. code:: python extensions = ['autoapi.extension'] autoapi_type = 'dotnet' autoapi_dirs = ['..'] This configuration assumes your ``conf.py`` is in a ``docs/`` path, and will use your parent path ('..') to search for files to pass to ``docfx``. Unless you specify a custom pattern, using the ``autoapi_patterns`` option, ``sphinx-autoapi`` will assume a list of file names to search. First, a ``docfx.json`` file will be searched for. If this file exists, it will be used, regardless of whether you have other file patterns listed. Otherwise, any file matching ``['project.json', 'csproj', 'vsproj']`` will be searched for. .. _`docfx`: https://github.com/dotnet/docfx .. _`ASP.NET Installation`: http://docs.asp.net/en/latest/getting-started/index.html .. _`docfx configuration file`: https://dotnet.github.io/docfx/tutorial/docfx.exe_user_manual.html#3-docfx-json-format GO ~~~~ Install go domain extension for sphinx. .. code:: bash pip install go sphinxcontrib_golangdomain Install the go environment (from https://golang.org/dl/). Install a git client for your environment (e.g. from https://desktop.github.com/). Install our godocjson tool (preprocess godoc output to JSON, in a way similar to jsdoc -X). .. code:: bash go get github.com/rtfd/godocjson Add go domain in your conf.py. .. code:: python extensions = [ 'sphinxcontrib.golangdomain',... Before running building your doc, make sure the godocjson executable is in your path. Javascript ~~~~~~~~~~~~~~~~ Requires jsdoc, which in turn requires nodejs to be installed. Install nodejs on your platform. Install jsdoc using npm. .. code:: bash npm install jsdoc -g Before building your doc, make sure the jsdoc executable is in your path. Customize --------- All of the pages that AutoAPI generates are templated with Jinja2 templates. You can fully customize how pages are displayed on a per-object basis. Read more about it in :doc:`templates`. Directives ---------- Instead of generating API documentation, you can write the documentation yourself with :doc:`directives`. Design ------ Read more about the deisgn in our :doc:`design`. Currently Implemented --------------------- * Python (2.7+ and 3.4+) * .NET * Go * Javascript Adding a new language --------------------- Adding a new language should only take a couple of hours, assuming your language has a tool to generate JSON from API documentation. The steps to follow: * Add a new Mapper file in `mappers/`. It's probably easiest to copy an existing one, like the Javascript or Python mappers. * Implement the :py:func:`create_class` and :py:func:`read_file` methods on the :py:class:`SphinxMapperBase`. * Implement all appropriate object types on the :py:class:`PythonMapperBase` * Add a test in the `tests/test_integration.py`, along with an example project for the testing. * Include it in the class mapping in `mappers/base.py` and `extension.py`