Documenting#

PyAnsys documentation must not only be written but also maintained. If you are contributing to PyAnsys documentation, see the Google developer documentation style guide, which provides the general guidelines that you are to follow. This page supplies guidance specific to PyAnsys documentation.

Note

For comprehensive information on contributing new content or revising existing content, see Content writing.

When writing developer documentation, the relationship between code and documentation is key. To keep documentation up to date with evolving code, always perform these tasks:

  • Minimize the content footprint.

  • Write timeless documentation.

  • Support contributions from both inside and outside of the development team.

  • Perform periodic reviews.

Understand documentation sources#

The generation of PyAnsys documentation uses Sphinx and the Ansys-branded Sphinx theme.

Sphinx assembles content from these sources:

  • Docstrings in Python (PY) files

  • reStructuredText (RST) files

  • Examples in PY or IPYNB files

Docstrings#

You must format docstrings in PY files so that Sphinx can parse them. Sphinx provides these extensions for docstring formatting:

Using the numpydoc extension is preferred because it supports an API documentation structure with one page per method, providing Python community members with documentation like that generated for the NumPy and pandas packages.

If your API is very linear, you can use the napoleon extension because it supports a documentation structure where everything needed to solve a certain problem can be shown on one page.

Regardless of the extension that you choose for generating documentation from docstrings, using numpydoc-style docstrings ensures that there is consistency within PyAnsys libraries. For more information, see Documentation style.

reStructuredText files#

To provide general usage information in your documentation, use your favorite editor to create reStructuredText (RST) files that you then place in The doc directory. The index.rst file in the doc/source directory defines the first level of your documentation hierarchy. The toctree directive (which stands for “table of contents tree”) indicates the maximum number of heading levels that the documentation is to display in the right navigation pane.

Note

A directive is a generic block of explicit markup that sets off a specific block of text. For more information, see Directives in the Sphinx documentation.

The toctree directive also specifies the locations of the RST files for building each section of your documentation.

Hierarchical structure for PyAnsys library documentation.

Fig. 1 Hierarchical structure for PyAnsys library documentation.#

As shown in the preceding figure, each documentation section has its own index.rst file. However, to optimize web searches of the generated HTML documentation, the names of the index files for sections should be short and descriptive, containing keywords and using hyphens (-) as word separators. For more information, see Optimize web searches.

Here is an example of the hierarchical structure for RST files. The main index files is named index.rst, and the index files for the documentation sections are named intro.rst.

Welcome to the library documentation
####################################

This is the content of the root `index.rst` file.

.. toctree::

    section-A/intro
    section-B/intro
Section A
#########

This is the content of the `section-A/intro.rst` file.

.. toctree::

    page-1
    page-2
    ...
Section B
#########

This is the content of the `section-B/intro.rst` file.

.. toctree::

    section_B_subsection
    ...

While you do not include the .rst extension when defining the section structure in the toctree directive, the index file referenced for each section should have a short descriptive name.

After you build documentation locally as described in Build documentation, the first-level heading in the index file for each section is shown as a clickable link in the documentation’s title bar. For more information on defining the documentation structure, see Getting Started in the Sphinx documentation.

Titles and headings in RST files#

As indicated in Capitalization in the Google developer documentation style guide, titles and headings are to be in sentence case. In RST files, the line that follows a title or heading is a string of characters of the same length as the heading or title. If the length of the characters is less than the length of the title or heading, Sphinx generates a warning.

For consistency within PyAnsys libraries, the use of these special characters is recommended but not enforced:

  • For section-level headings, use ###.

  • For subsection-level headings, use ===.

  • For subsubsection-level headings, use ---.

  • For subsubsubsection-level headings, use ~~~.

  • For paragraph-level headings, use +++.

For comprehensive syntax information, see the reStrucutredText Markup Specification.

Because you must be familiar with the content in this guide before contributing to a PyAnsys library, explore its pages and then look at the RST files in the repository’s doc/source directory. This should help you to understand the syntax and see how RST files are nested to create the structure of this guide.

Examples#

Examples come in two formats:

  • Basic code snippets demonstrating features

  • Full-fledged standalone examples that are meant to be run as downloadable scripts

Place basic code snippets in RST files in the doc/source directory. Place full-fledged standalone examples in the examples directory, which is at the root of the repository. All of these examples must be compliant with PEP 8. They are compiled dynamically during the build process. Always ensure that your examples run properly locally because they are verified through the CI performed by GitHub Actions.

Adding a new standalone example consists of placing it in an applicable subdirectory in the examples directory. If none of the existing directories match the category of your example, create a subdirectory with a README.txt file describing the new category

Here is an example of what the structure for a PyAnsys library typically looks like:

.
├── doc
│   ├── conf.py
│   ├── index.rst
|   ├── make.bat
│   └── Makefile
├── my_python_module
│   ├── __init__.py
│   └── mod.py
└── examples
    ├── plot_example.py
    ├── example.py
    └── README.txt (or .rst)

In the Sphinx configuration file (doc/conf.py), enable the Sphinx-Gallery extension:

extensions = [
    ...
    'sphinx_gallery.gen_gallery',
    ]

The following configuration declares the location of the examples directory to be ../examples and the output directory to be examples:

sphinx_gallery_conf = {
 'examples_dirs': '../examples',   # path to your example scripts
 'gallery_dirs': 'examples',  # path where the gallery generated outputs are to be saved
}

Because these examples are built using Sphinx-Gallery, you must follow its coding guidelines.

General example uses Python and Sphinx-Gallery.

Generate documentation from docstrings#

You can use the native sphinx.ext.autodoc extension to generate documentation from the docstrings in your Python files. When using this extension, you can include these directives in your RST files:

  • automodule: For documenting modules

  • autoclass: For documenting classes

  • autofunction: For documenting methods and functions

For a full list of auto directives, see Include documentation from docstrings in the Sphinx documentation.

Document classes#

There are two main ways of using Sphinx to document a class:

  • Manually describe why and how you use a class in RST files.

  • Automatically generate documentation for classes using the autoclass or autosummary directive in RST files.

Manually generate documentation#

To describe why and how to use a class in RST files, use the code-block directive:

Initialize ``my_module.MyClass`` with initial parameters. These
parameters are automatically assigned to the class.

.. code-block:: pycon

   >>> from my_module import MyClass
   >>> my_obj = MyClass(parm1="apple", parm2="orange")
   >>> my_obj.parm1
   'apple'

Initialize my_module.MyClass with initial parameters. These parameters are automatically assigned to the class.

>>> from my_module import MyClass
>>> my_obj = MyClass(parm1="apple", parm2="orange")
>>> my_obj.parm1
'apple'

Automatically generate documentation#

To automatically generate class descriptions from the numpydoc strings in your Python files, use either the autoclass or autosummary directive in your RST files. For information on docstrings and required docstring sections, see Numpydoc docstrings.

For simple classes, use the autoclass directive:

.. autoclass:: ansys_sphinx_theme.examples.samples.ExampleClass
   :members:
class ansys_sphinx_theme.examples.samples.ExampleClass(param1, param2, param3=0)#

The summary line for a class docstring should fit on one line.

Attributes should be documented inline with the attribute’s declaration.

Properties created with the @property decorator should be documented in the property’s getter method.

Parameters:
  • param1 (str) – Description of param1.

  • param2 (list of str) – Description of param2. Multiple lines are supported.

  • param3 (int, optional) – Description of param3.

Examples

An example of how to initialize this class should be given.

>>> from ansys_sphinx_theme import samples
>>> example = samples.ExampleClass('mystr', ['apple', 'orange'], 3)
example_method(param1, param2)#

Class methods are similar to regular functions.

Parameters:
  • param1 (str) – The first parameter.

  • param2 (str) – The second parameter.

Returns:

True if successful, False otherwise.

Return type:

bool

Notes

Do not include the self parameter in the Parameters section.

Examples

>>> example.example_method('foo', 'bar')
True
property readonly_property: str#

Properties should be documented in their getter method.

Examples

>>> example.readonly_property
"readonly_property"
property readwrite_property#

Set or return the readwrite property.

Properties with both a getter and setter should only be documented in their getter method.

If the setter method contains notable behavior, it should be mentioned here.

Examples

>>> example.readwrite_property
"readwrite_property"
>>> example.readwrite_property = 'hello world'
>>> example.readwrite_property
'hello world'

For complex classes with many methods, use the autosummary directive:

.. autoclass:: ansys_sphinx_theme.examples.samples.Complex

.. autosummary::
   :toctree: api/

   ansys_sphinx_theme.examples.samples.Complex.real
   ansys_sphinx_theme.examples.samples.Complex.imag
   ansys_sphinx_theme.examples.samples.Complex.abs
class ansys_sphinx_theme.examples.samples.Complex(real, imag=0.0)#

Custom implementation of a complex number.

Parameters:
  • real (float) – Real component of the complex number.

  • imag (float, optional) – Imaginary component of the complex number.

Examples

>>> my_num = Complex(real=1, imag=-1.0)
>>> my_num
(1.0 + 1.0j)

ansys_sphinx_theme.examples.samples.Complex.real

Real component of this complex number.

ansys_sphinx_theme.examples.samples.Complex.imag

Real component of this complex number.

ansys_sphinx_theme.examples.samples.Complex.abs

Return the absolute value of this number.

When you use the autosummary directive, each class has its own dedicated page. Each method and attribute in that class also has its own page.

Document multiple classes#

To document a set of small but highly cohesive classes, you can combine the two preceding approaches. To accomplish this, you include multiple autoclass directives in the same RST file with headings and text blocks as necessary to describe the relationships between the classes.

For example, the Granta MI BoM Analytics library uses this combined approach: Part compliance first describes the PartComplianceQuery class. It then describes the PartComplianceQueryResult and PartWithComplianceResult classes returned by the query. Because the classes are only ever encountered together in this context, they are documented on a single page.

In contrast, the RoHSIndicator and WatchListIndicator classes are shared across multiple queries. Consequently, these classes are documented separately.

Build documentation#

Sphinx is used to build the documentation. You configure the entire build process in The conf.py file.

The doc directory contains a Makefile file and a make.bat file for automating the building process. Different builders render different documentation output, such as HTML and PDF.

Build HTML documentation#

You can build HTML documentation locally with the command for your OS. On macOS or Linux, you use Makefile. On Windows, you use the make.bat file.

make html
make.bat html

The resulting HTML files are created in the doc/_build/html directory.

To view the HTML documentation in your browser, navigate to this directory and double-click the index.html file.

Build PDF documentation#

To build PDF documentation locally, you must add the following rules to the Makefile and make.bat files:

.PHONY: pdf

pdf:
        @$(SPHINXBUILD) -M latex "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
        cd $(BUILDDIR)/latex && latexmk -r latexmkrc -pdf *.tex -interaction=nonstopmode || true
        (test -f $(BUILDDIR)/latex/*.pdf && echo pdf exists) || exit 1
:PHONY pdf

:pdf
        %SPHINXBUILD% -M latex %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
        cd "%BUILDDIR%\latex"
        pdflatex \*.tex --interaction=nonstopmode

You can then build the PDF documentation locally with the command for your OS:

make pdf
make.bat pdf

The resulting PDF and intermediate LaTeX files are created in the doc/_build/latex directory.

Always verify the content of your PDF file.

Because warnings and errors that occur during the LaTeX building and rendering processes are ignored, it is possible that the PDF file has text formatting errors.

Enable multi-version documentation#

When your library has multi-version documentation enabled, the right side of the documentation’s title bar displays a drop-down button for switching between documentation versions. With this button, you can switch from viewing the documentation for the latest stable version to the documentation for the development version or a previously released version.

To take advantage of multi-version documentation, your library must use ansys/actions@v4 or later and be configured based on its level of maturity.

Upgrade to ansys/actions@v4 or later#

If your library uses an Ansys action earlier than ansys/actions@v4, upgrade to a later version:

  1. Update all your continuous integration YML files to use ansys/actions@v4 or later.

  2. Make sure that the "json_url" key points to f"https://{cname}/versions.json".

    Note that the release/ substring is dropped.

  3. Apply the previous steps as fix patches in all versions that you want to include in your multi-version documentation.

Configure multi-version documentation#

Once your library uses ansys/actions@v4 or later, configure multi-version documentation:

  1. Ensure that you are using Ansys Sphinx Theme version 0.8 or later for building your library’s documentation.

  2. Include the following lines in The conf.py file:

    import os
    
    from ansys_sphinx_theme import get_version_match
    
    
    cname = os.getenv("DOCUMENTATION_CNAME", "<DEFAULT_CNAME>")
    """Canonical name (CNAME) of the webpage hosting the documentation."""
    
    html_theme_options = {
        "switcher": {
            "json_url": f"https://{cname}/versions.json",
            "version_match": get_version_match(__version__),
        },
        ...
    }
    

    About the DOCUMENTATION_CNAME environment variable

    The DOCUMENTATION_CNAME environment variable is expected to be declared in the YML file controlling the deployment of the documentation. The idea is that the canonical name is only defined in a single place, so it can be easily changed if required.

  3. Enable documentation deployment for development and stable versions. For more information, see Deploy documentation.

Once multi-version documentation is configured, its use is automated. Every time you release a new version, a link to the documentation for this version is added to the drop-down button.

Controlling the number of versions shown in the drop-down button

The documentation drop-down button displays the development version and last three stable versions by default. To have the button display more versions, use the render-last variable in the ansys/actions/doc-deploy-stable action.

If you require support for enabling multi-version documentation, email the PyAnsy Core team.

Deploy documentation#

PyAnsys libraries use GitHub Actions to deploy their documentation online to GitHub Pages. This documentation is hosted on the gh-pages branch of the library’s repository. Documentation deployment is done by uploading the HTML documentation artifact to the gh-pages branch of the library’s repository. For more information, see Creating a GitHub Pages site in the GitHub documentation.

To automatically deploy both development and stable documentation, add the doc-deploy-dev and doc-deploy-stable jobs to the ci_cd.yml file in the .github/workflows directory:

env:
  DOCUMENTATION_CNAME: '<library>.docs.pyansys.com'

jobs:

    # Artifacts for HTML documentation need to be generated before
    # executing the deployment jobs

    doc-deploy-dev:
      name: "Deploy development documentation"
      # Deploy development only when merging or pushing to the 'main' branch
      if: github.event_name == 'push' && !contains(github.ref, 'refs/tags')
      runs-on: ubuntu-latest
      needs: build-library
      steps:
        - uses: ansys/actions/doc-deploy-dev@v6
          with:
            doc-artifact-name: '<html-artifact-name>'
            cname: ${{ env.DOCUMENTATION_CNAME }}
            token: ${{ secrets.GITHUB_TOKEN }}

    doc-deploy-stable:
      name: "Deploy stable documentation"
      # Deploy release documentation when creating a new tag
      if: github.event_name == 'push' && contains(github.ref, 'refs/tags')
      runs-on: ubuntu-latest
      needs: release
      steps:
        - uses: ansys/actions/doc-deploy-stable@v6
          with:
            doc-artifact-name: '<html-artifact-name>'
            cname: ${{ env.DOCUMENTATION_CNAME }}
            token: ${{ secrets.GITHUB_TOKEN }}

Deploy to another repository#

If you are planning to deploy documentation to a repository other than the one for your library, make sure that you create this repository before deploying your documentation for the first time.

Using the {{ secrets.GITHUB_TOKEN }} token when deploying to another repository is not possible due to the level of credentials of this token. Instead, use the secrets generated by the PyAnsy Bot app.

For deploying the documentation to another repository, use this workflow:

env:
  DOCUMENTATION_CNAME: '<library>.docs.pyansys.com'
  DOCUMENTATION_REPOSITORY: '<organization-name>/<repository-name>'

jobs:

    # Artifacts for HTML documentation need to be generated before
    # executing the deployment jobs

    generate-token:
      name: "Generate deployment token"
      id: get_workflow_token
      uses: peter-murray/workflow-application-token-action@v1
      with:
        application_id: ${{ secrets.BOT_APPLICATION_ID }}
        application_private_key: ${{ secrets.BOT_APPLICATION_PRIVATE_KEY }}

    doc-deploy-dev:
      name: "Deploy development documentation"
      # Deploy development only when merging or pushing to the 'main' branch
      if: github.event_name == 'push' && !contains(github.ref, 'refs/tags')
      runs-on: ubuntu-latest
      needs: build-library
      steps:
        - uses: ansys/actions/doc-deploy-dev@v6
          with:
            doc-artifact-name: '<html-artifact-name>'
            cname: ${{ env.DOCUMENTATION_CNAME }}
            token: ${{ steps.get_workflow_token.outputs.token }}
            external-repository: ${{ env.DOCUMENTATION_REPOSITORY }}

    doc-deploy-stable:
      name: "Deploy stable documentation"
      # Deploy release documentation when creating a new tag
      if: github.event_name == 'push' && contains(github.ref, 'refs/tags')
      runs-on: ubuntu-latest
      needs: release
      steps:
        - uses: ansys/actions/doc-deploy-stable@v6
          with:
            doc-artifact-name: '<html-artifact-name>'
            cname: ${{ env.DOCUMENTATION_CNAME }}
            token: ${{ steps.get_workflow_token.outputs.token }}
            external-repository: ${{ env.DOCUMENTATION_REPOSITORY }}

Access online documentation#

Documentation for the latest stable release of a PyAnsys library is accessible from its repository. The canonical name for the documentation is constructed using this structure:

https://<product>.docs.pyansys.com

If a library does not have multi-version documentation enabled, you can generally access the latest development version of the documentation by adding dev to the URL:

https://<product>.docs.pyansys.com/dev

However, most libraries do have multi-version documentation enabled, which means that stable and development versions are collected under the same website.

For example, consider the PyAEDT documentation: On the right side of the title bar for its documentation, you use the drop-down button to select the version of the documentation.

Ansys actions are GitHub Actions for automatically keeping the latest development versions of both the library and its documentation up to date.

To make documentation changes, you create a branch with a name that begins with a prefix of doc/ that is then followed by a short description of what you are changing. For more information, see Branching model.

As you are making changes in this branch, you want to periodically generate the documentation locally so that you can test your changes before you create a GitHub pull request. For more information, see Build documentation.

Use PyMeilisearch as a documentation search engine#

PyMeilisearch is a Python client library that lets you use MeiliSearch, an open source search engine, to provide fast and relevant documentation search capabilities.

To use PyMeilisearch as a search engine for multi-version documentation, perform these steps.

  1. Ensure that you are using Ansys Sphinx Theme version 0.8 or later for building your library’s documentation.

  2. In the conf.py file in the doc/source directory, include these lines:

    import os
    
    from ansys_sphinx_theme import convert_version_to_pymeilisearch
    
    
    cname = os.getenv("DOCUMENTATION_CNAME", "<DEFAULT_CNAME>")
    """Canonical name (CNAME) of the webpage hosting the documentation."""
    
    html_theme_options = {
        "use_meilisearch": {
          "api_key": os.getenv("MEILISEARCH_API_KEY", ""),
          "index_uids": {
            f"<your-index-name>{convert_version_to_pymeilisearch(__version__)}": "index name to display",  # noqa: E501
          },
        },
        ...
    }
    
  3. In these lines, replace <your-index-name> with the name for your MeiliSearch index.

    The convert_version_to_pymeilisearch function converts your library’s version into a format suitable for MeiliSearch indexing.

  4. Enable documentation index deployment for development and stable versions using Ansys actions:

    jobs:
      doc-deploy-index:
        name: "Index the documentation and scrap using PyMeilisearch"
        runs-on: ubuntu-latest
        needs: doc-deploy
        if: github.event_name == 'push'
        steps:
          - name: Scrape the stable documentation to PyMeilisearch
            run: |
              VERSION=$(python -c "from <your-package> import __version__; print('.'.join(__version__.split('.')[:2]))")
              VERSION_MEILI=$(python -c "from <your-package> import __version__; print('-'.join(__version__.split('.')[:2]))")
              echo "Calculated VERSION: $VERSION"
              echo "Calculated VERSION_MEILI: $VERSION_MEILI"
    
          - name: "Deploy the latest documentation index"
            uses: ansys/actions/doc-deploy-index@v4.1
            with:
              cname: "<library>.docs.pyansys.com/version/$VERSION"
              index-name: "<index-name>v$VERSION_MEILI"
              host-url: "<meilisearch-host-url>"
              api-key: ${{ secrets.MEILISEARCH_API_KEY }}
    
  5. Replace <your-package>, <your-index-name>, and <library> with appropriate values for your project.

The version of your package is automatically calculated and used for indexing, ensuring that your documentation remains up to date. For more information, see the PyMeilisearch and Ansys Sphinx Theme documentation.

Optimize web searches#

It’s important that web searches rank PyAnsys documentation pages high in organic search results. The PyAnsys Core team has identified some challenges in regard to search engine optimization (SE0):

  • The robots.txt file in the root directory of your documentation website blocks Google and other search engines from crawling some pages. This file tells web robots about the structure of the documentation website.

  • Missing canonical tags result in duplicate pages being found.

  • For multi-version documentation, redirection from the base index.html file to the version/stable/index.html file causes problems.

To resolve these SEO challenges, upgrade your documentation deployment actions to doc-deploy-stable@v6 and doc-deploy-dev@v6 or higher.

Here’s how using the latest doc-deploy actions automatically address these SEO challenges:

  • They generate a corrected robots.txt that allows Google and other search engines to crawl all your documentation pages.

  • They add rel="canonical" tags, which are HTML elements, in the head sections of HTML pages. A canonical tag prevents duplicate content issues by specifying the preferred (canonical) URL for a group of pages that have the same or very similar content. Search engines use the canonical tag to determine the best representation of a page. Here is an example of a conical tag:

    <link rel="canonical" href="http://www.example.com/">

  • They copy gh-pages/version/stable/index.html to gh-pages/index.html and prepend local references with version/stable/, which eliminates the need for redirection.

SEO tips#

Here are additional SEO tips for ensuring that Google and other search engines rank your documentation pages higher in search results:

  • Avoid having index.html pages (except for the main one for your documentation).

    Sphinx, which renders files named index.rst into pages named index.html, always generates absolute links. For example, the absolute link for page/index.rst is page/index.html. Google prefers links to pages that do not end with index.html.

  • Use lowercase for names of directories and files and separate words with hyphens.

    While these naming conventions might be difficult to achieve for auto-generated files matching the names of classes, following these naming guidelines when possible makes file searches easier and search results more useful. For comprehensive information, see Filenames and file types in the Google developer documentation style guide.

  • Use short filenames containing keywords.

    Avoid Ansys-specific words in filenames. Use a keyword generator like ahrefs to find relevant keywords that potential users who are searching for information are likely to use.

SEO naming examples#

This table shows how to use the preceding tips to rename example files. While the source files for examples are generally Python (PY) or Jupyter Notebook (IPYNB) files, Sphinx converts them to reStructuredText (RST) files for inclusion in the documentation.

Not recommended

Recommended

examples/hohmann-transfer-using-targeter.rst

examples-hohmann-transfer-{orbit,calculator}.rst

examples/00-mapdl-examples/transient_thermal.py

examples-transient-thermal-{analysis,simulation}.py

examples/02-HFSS/HFSS_Spiral.py

examples-design-and-simulation-of-spiral-inductors.py

If you have questions about SEO, email the PyAnsy Core team.