Skip to main content

Load Python objects documentation.

Project description

pytkdocs

ci documentation pypi version

Load Python objects documentation.

Requirements

pytkdocs requires Python 3.6 or above.

To install Python 3.6, I recommend using pyenv.
# install pyenv
git clone https://github.com/pyenv/pyenv ~/.pyenv

# setup pyenv (you should also put these three lines in .bashrc or similar)
export PATH="${HOME}/.pyenv/bin:${PATH}"
export PYENV_ROOT="${HOME}/.pyenv"
eval "$(pyenv init -)"

# install Python 3.6
pyenv install 3.6.8

# make it available globally
pyenv global system 3.6.8

Installation

With pip:

python3.6 -m pip install pytkdocs

With pipx:

python3.6 -m pip install --user pipx

pipx install --python python3.6 pytkdocs

Usage

pytkdocs accepts JSON on standard input and writes JSON on standard output.

Input format:

{
  "objects": [
    {
      "path": "pytkdocs",
      "members": true,
      "inherited_members": false,
      "filters": [
        "!^_[^_]"
      ],
      "docstring_style": "google",
      "docstring_options": {
        "replace_admonitions": true
      }
    }
  ]
}

Output format:

{
  "loading_errors": [
    "string (message)"
  ],
  "parsing_errors": {
    "string (object)": [
      "string (message)"
    ]
  },
  "objects": [
    {
      "name": "pytkdocs",
      "path": "pytkdocs",
      "category": "module",
      "file_path": "/media/data/dev/pawamoy/pytkdocs/src/pytkdocs/__init__.py",
      "relative_file_path": "pytkdocs/__init__.py",
      "properties": [
        "special"
      ],
      "parent_path": "pytkdocs",
      "has_contents": true,
      "docstring": "pytkdocs package.\n\nLoad Python objects documentation.",
      "docstring_sections": [
        {
          "type": "markdown",
          "value": "pytkdocs package.\n\nLoad Python objects documentation."
        }
      ],
      "source": {
        "code": "\"\"\"\npytkdocs package.\n\nLoad Python objects documentation.\n\"\"\"\n\nfrom typing import List\n\n__all__: List[str] = []\n",
        "line_start": 1
      },
      "children": {
        "pytkdocs.__all__": {
          "name": "__all__",
          "path": "pytkdocs.__all__",
          "category": "attribute",
          "file_path": "/media/data/dev/pawamoy/pytkdocs/src/pytkdocs/__init__.py",
          "relative_file_path": "pytkdocs/__init__.py",
          "properties": [
            "special"
          ],
          "parent_path": "pytkdocs",
          "has_contents": false,
          "docstring": null,
          "docstring_sections": [],
          "source": {},
          "children": {},
          "attributes": [],
          "methods": [],
          "functions": [],
          "modules": [],
          "classes": []
        }
      },
      "attributes": [
        "pytkdocs.__all__"
      ],
      "methods": [],
      "functions": [],
      "modules": [
        "pytkdocs.__main__",
        "pytkdocs.cli",
        "pytkdocs.loader",
        "pytkdocs.objects",
        "pytkdocs.parsers",
        "pytkdocs.properties",
        "pytkdocs.serializer"
      ],
      "classes": []
    }
  ]
}

Command-line

Running pytkdocs without argument will read the whole standard input, and output the result once.

Running pytkdocs --line-by-line will enter an infinite loop, where at each iteration one line is read on the standard input, and the result is written back on one line. This allows other programs to use pytkdocs in a subprocess, feeding it single lines of JSON, and reading back single lines of JSON as well. This mode was actually implemented specifically for mkdocstrings.

Configuration

The configuration options available are:

  • filters: filters are regular expressions that allow to select or un-select objects based on their name. They are applied recursively (on every child of every object). If the expression starts with an exclamation mark, it will filter out objects matching it (the exclamation mark is removed before evaluation). If not, objects matching it are selected. Every regular expression is performed against every name. It allows fine-grained filtering. Example:

    • !^_: filter out every object whose name starts with _ (private/protected)
    • ^__: but still select those who start with two _ (class-private)
    • !^__.*__$: except those who also end with two _ (specials)
  • members: this option allows to explicitly select the members of the top-object. If True, select every members that passes filters. If False, select nothing. If it's a list of names, select only those members, and apply filters on their children only.

  • docstring_style: the docstring style to use when parsing the docstring. Only one parser available: google.

  • docstring_options: options to pass to the docstring parser.

    • google accepts a replace_admonitions boolean option (default: true). When enabled, this option will replace titles of an indented block by their Markdown admonition equivalent: AdmonitionType: Title will become !!! admonitiontype "Title".
  • inherited_members: true or false (default). When enabled, inherited members will be selected as well.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pytkdocs-0.7.0.tar.gz (24.8 kB view details)

Uploaded Source

Built Distribution

pytkdocs-0.7.0-py3-none-any.whl (29.3 kB view details)

Uploaded Python 3

File details

Details for the file pytkdocs-0.7.0.tar.gz.

File metadata

  • Download URL: pytkdocs-0.7.0.tar.gz
  • Upload date:
  • Size: 24.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.0.9 CPython/3.8.3 Linux/5.6.15-arch1-1

File hashes

Hashes for pytkdocs-0.7.0.tar.gz
Algorithm Hash digest
SHA256 88c79290525f7658e8271ce19dd343c01c53bbe6c2801d1bfcc6792cad0636d5
MD5 19cc2c7ef9fd4c8a4fa6b098af155f5e
BLAKE2b-256 d54a693c29e8e906261d9e7647d5f07cfbbc798aaf8413a86dd42a8cf5414fa2

See more details on using hashes here.

File details

Details for the file pytkdocs-0.7.0-py3-none-any.whl.

File metadata

  • Download URL: pytkdocs-0.7.0-py3-none-any.whl
  • Upload date:
  • Size: 29.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.0.9 CPython/3.8.3 Linux/5.6.15-arch1-1

File hashes

Hashes for pytkdocs-0.7.0-py3-none-any.whl
Algorithm Hash digest
SHA256 96c494143e70ccbb657bc4c0a93a97da0209f839f0236c08f227faedc51c1745
MD5 26a6483d1a800458c6d898242ec238e7
BLAKE2b-256 53f66363a99849f824e71f394983392efbd7a74cc53bfd647a1f38fe135f1c35

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page