Metadata-Version: 2.1
Name: apipkg
Version: 1.5
Summary: apipkg: namespace control and lazy-import mechanism
Home-page: https://github.com/pytest-dev/apipkg
Author: holger krekel
Maintainer: Ronny Pfannschmidt
Maintainer-email: opensource@ronnypfannschmidt.de
License: MIT License
Platform: unix
Platform: linux
Platform: osx
Platform: cygwin
Platform: win32
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: POSIX
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Topic :: Software Development :: Libraries
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Requires-Python: >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*

Welcome to apipkg!
------------------------

With apipkg you can control the exported namespace of a Python package and
greatly reduce the number of imports for your users.
It is a `small pure Python module`_ that works on CPython 2.7 and 3.4+,
Jython and PyPy. It cooperates well with Python's ``help()`` system,
custom importers (PEP302) and common command-line completion tools.

Usage is very simple: you can require 'apipkg' as a dependency or you
can copy paste the ~200 lines of code into your project.


Tutorial example
-------------------

Here is a simple ``mypkg`` package that specifies one namespace
and exports two objects imported from different modules::

    # mypkg/__init__.py
    import apipkg
    apipkg.initpkg(__name__, {
        'path': {
            'Class1': "_mypkg.somemodule:Class1",
            'clsattr': "_mypkg.othermodule:Class2.attr",
        }
    }

The package is initialized with a dictionary as namespace.

You need to create a ``_mypkg`` package with a ``somemodule.py``
and ``othermodule.py`` containing the respective classes.
The ``_mypkg`` is not special - it's a completely
regular Python package.

Namespace dictionaries contain ``name: value`` mappings
where the value may be another namespace dictionary or
a string specifying an import location.  On accessing
an namespace attribute an import will be performed::

    >>> import mypkg
    >>> mypkg.path
    <ApiModule 'mypkg.path'>
    >>> mypkg.path.Class1   # '_mypkg.somemodule' gets imported now
    <class _mypkg.somemodule.Class1 at 0xb7d428fc>
    >>> mypkg.path.clsattr  # '_mypkg.othermodule' gets imported now
    4 # the value of _mypkg.othermodule.Class2.attr

The ``mypkg.path`` namespace and its two entries are
loaded when they are accessed.   This means:

* lazy loading - only what is actually needed is ever loaded

* only the root "mypkg" ever needs to be imported to get
  access to the complete functionality

* the underlying modules are also accessible, for example::

    from mypkg.sub import Class1


Including apipkg in your package
--------------------------------------

If you don't want to add an ``apipkg`` dependency to your package you
can copy the `apipkg.py`_ file somewhere to your own package,
for example ``_mypkg/apipkg.py`` in the above example.  You
then import the ``initpkg`` function from that new place and
are good to go.

.. _`small pure Python module`:
.. _`apipkg.py`: https://github.com/pytest-dev/apipkg/blob/master/src/apipkg/__init__.py

Feedback?
-----------------------

If you have questions you are welcome to

* join the #pylib channel on irc.freenode.net
* create an issue on https://github.com/pytest-dev/apipkg/issues

have fun,
holger krekel


