Metadata-Version: 2.1
Name: exdoc
Version: 0.1.3
Summary: Documentation extractor. 
Home-page: https://github.com/kolypto/py-exdoc
Author: Mark Vartanyan
Author-email: kolypto@gmail.com
License: BSD
Keywords: documentation
Platform: any
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.4
Description-Content-Type: text/markdown

[![Build Status](https://api.travis-ci.org/kolypto/py-exdoc.png?branch=master)](https://travis-ci.org/kolypto/py-exdoc)
[![Pythons](https://img.shields.io/badge/python-3.5%E2%80%933.7-blue.svg)](.travis.yml)

ExDoc
=====

Documentation extractor.

Extracts pieces of documentation from your code to build a document which can be fed to template processors.

Output can be in JSON, YAML, whatever.
Use any command-line templating engine, like [j2cli](https://github.com/kolypto/j2cli), to render templates from it.

It does not do any automatic background magic: it just offers helpers which allows you to extract the necessary pieces.

Currently supports parsing the following documentation formats:

* [Sphinx (reST)](http://sphinx-doc.org/)
* [Google](https://github.com/google/styleguide/blob/gh-pages/pyguide.md#38-comments-and-docstrings)


Collectors
==========

ExDoc is just a set of helper functions that collects information into dictionaries.

Python
------

Helpers for Python objects

### doc(obj, of_class=None)
Get parsed documentation for an object as a dict.

This includes arguments spec, as well as the parsed data from the docstring.

```python
from exdoc import doc
```

The `doc()` function simply fetches documentation for an object, which can be

* Module
* Class
* Function or method
* Property

The resulting dictionary includes argument specification, as well as parsed docstring:

```python
def f(a, b=1, *args):
    ''' Simple function

    : param a: First
    : type a: int
    : param b: Second
    : type b: int
    : param args: More numbers
    : returns: nothing interesting
    : rtype: bool
    : raises ValueError: hopeless condition
    '''

from exdoc import doc

doc(f)  # ->
{
  'module': '__main__',
  'name': 'f',
  'qualname': 'f',  # qualified name: e.g. <class>.<method>
  'signature': 'f(a, b=1, *args)',
  'qsignature': 'f(a, b=1, *args)',  # qualified signature
  'doc': 'Simple function',
  'clsdoc': '',  # doc from the class (used for constructors)
  # Exceptions
  'exc': [
    {'doc': 'hopeless condition', 'name': 'ValueError'}
  ],
  # Return value
  'ret': {'doc': 'nothing interesting', 'type': 'bool'},
  # Arguments
  'args': [
    {'doc': 'First', 'name': 'a', 'type': 'int'},
    {'default': 1, 'doc': 'Second', 'name': 'b', 'type': 'int'},
    {'doc': 'More numbers', 'name': '*args', 'type': None}
  ],
}
```

Note: in Python 3, when documenting a method of a class, pass the class to the `doc()` function as the second argument:

```python
doc(cls.method, cls)
```

This is necessary because in Python3 methods are not bound like they used to. Now, they are just functions.


### getmembers(obj, *predicates)

Return all the members of an object as a list of `(key, value)` tuples, sorted by name.

The optional list of predicates can be used to filter the members.

The default predicate drops members whose name starts with '_'. To disable it, pass `None` as the first predicate.


### subclasses(cls, leaves=False)

List all subclasses of the given class, including itself.

If `leaves=True`, only returns classes which have no subclasses themselves.



SqlAlchemy
----------

Documenting SqlAlchemy models.

```python
from exdoc.sa import doc

doc(User)  # ->
{
  'name': 'User',
  # List of tables the model uses
  'table': ('users',),
  'doc': 'User account',
  # PK: tuple[str]
  'primary': ('uid',),
  # Unique keys
  'unique': (
    # tuple[str]
    ('login',),
  ),
  # Foreign keys
  'foreign': (
    {'key': 'uid', 'target': 'users.uid', 'onupdate': None, 'ondelete': 'CASCADE'},
  ),
  # Columns
  'columns': [
    {'key': 'uid', 'type': 'INTEGER NOT NULL', 'doc': ''},
    {'key': 'login', 'type': 'VARCHAR NULL', 'doc': 'Login'},
    {'key': 'creator_uid', 'type': 'INTEGER NULL', 'doc': 'Creator'},
    {'key': 'meta', 'type': 'JSON NULL', 'doc': ''},
  ],
  # Relationships
  'relations': [
    {'key': 'creator', 'model': 'User',
     'target': 'User(creator_uid=uid)', 'doc': ''},
    {'key': 'devices[]', 'model': 'Device',
     'target': 'Device(uid)', 'doc': ''},
    {'key': 'created[]', 'model': 'User',
     'target': 'User(uid=creator_uid)', 'doc': ''},
  ]
}
```


Building
========

Create a python file that collects the necessary information and prints json:

```python
#! /usr/bin/env python
from exdoc import doc
import json

from project import User

print json.dumps({
  'user': doc(User),
})
```

And then use its output:

```console
./collect.py | j2 --format=json README.md.j2
```



