================== Creating Plugins ================== After a lot of trial and error, the easiest way I have found to define an API is to follow these steps: #. Use the `abc module`_ to create a base abstract class to define the behaviors required of plugins of the API. Developers don't have to subclass from the base class, but it provides a convenient way to document the API, and using an abstract base class keeps you honest. #. Create plugins by subclassing the base class and implementing the required methods. #. Define a unique namespace for each API by combining the name of the application (or library) and a name of the API. Keep it shallow. For example, "cliff.formatters" or "ceilometer.pollsters.compute". Example Plugin Set ================== The example program in this tutorial will create a plugin set with several data formatters, like what might be used by a command line program to prepare data to be printed to the console. Each formatter will take as input a dictionary with string keys and built-in data types as values. It will return as output an iterator that produces the string with the data structure formatted based on the rules of the specific formatter being used. The formatter's constructor lets the caller specify the maximum width the output should have. A Plugin Base Class =================== Step 1 above is to define an abstract base class for the API that needs to be implemented by each plugin. .. literalinclude:: ../../../stevedore/example/base.py :language: python :prepend: # stevedore/example/base.py The constructor is a concrete method because subclasses do not need to override it, but the :func:`format` method does not do anything useful because there is no "default" implementation available. Concrete Plugins ================ The next step is to create a couple of plugin classes with concrete implementations of :func:`format`. A simple example formatter produces output with each variable name and value on a single line. .. literalinclude:: ../../../stevedore/example/simple.py :language: python :prepend: # stevedore/example/simple.py There are plenty of other formatting options, but this example will give us enough to work with to demonstrate registering and using plugins. Registering the Plugins ======================= To use setuptools entry points, you must package your application or library using setuptools. The build and packaging process generates metadata which is available after installation to find the plugins provided by each python distribution. The entry points must be declared as belonging to a specific namespace, so we need to pick one before going any further. These plugins are formatters from the stevedore examples, so I will use the namespace "stevedore.example.formatter". Now it is possible to provide all of the necessary information in the packaging instructions: .. literalinclude:: ../../../stevedore/example/setup.py :language: python :prepend: # stevedore/example/setup.py The important lines are near the bottom where the ``entry_points`` argument to :func:`setup` is set. The value is a dictionary mapping the namespace for the plugins to a list of their definitions. Each item in the list should be a string with ``name = module:importable`` where *name* is the user-visible name for the plugin, *module* is the Python import reference for the module, and *importable* is the name of something that can be imported from inside the module. .. literalinclude:: ../../../stevedore/example/setup.py :language: python :lines: 37-43 In this case, there are two plugins registered. The "simple" plugin defined above, and a "plain" plugin, which is just an alias for the simple plugin. setuptools Metadata =================== During the build, setuptools copies entry point definitions to a file in the ".egg-info" directory for the package. For example, the file for stevedore is located in ``stevedore.egg-info/entry_points.txt``: :: [stevedore.example.formatter] simple = stevedore.example.simple:Simple plain = stevedore.example.simple:Simple [stevedore.test.extension] t2 = stevedore.tests.test_extension:FauxExtension t1 = stevedore.tests.test_extension:FauxExtension :mod:`pkg_resources` uses the ``entry_points.txt`` file from all of the installed packages on the import path to find plugins. You should not modify these files, except by changing the list of entry points in ``setup.py``. .. _abc module: http://docs.python.org/2/library/abc.html .. _field list: http://docutils.sourceforge.net/docs/ref/rst/restructuredtext.html#field-lists Adding Plugins in Other Packages ================================ Part of the appeal of using entry points for plugins is that they can be distributed independently of an application. The namespace setuptools uses to find the plugins is different from the Python source code namespace. It is common to use a plugin namespace prefixed with the name of the application or library that loads the plugins, to ensure it is unique, but that name has no bearing on what Python package the code for the plugin should live in. For example, we can add an alternate implementation of a formatter plugin that produces a reStructuredText `field list`_. .. literalinclude:: ../../../stevedore/example2/fields.py :language: python :prepend: # stevedore/example2/fields.py The new plugin can then be packaged using a ``setup.py`` containing .. literalinclude:: ../../../stevedore/example2/setup.py :language: python :prepend: # stevedore/example2/setup.py The new plugin is in a separate ``stevedore-examples2`` package. .. literalinclude:: ../../../stevedore/example2/setup.py :language: python :lines: 3-4 However, the plugin is registered as part of the ``stevedore.example.formatter`` namespace. .. literalinclude:: ../../../stevedore/example2/setup.py :language: python :lines: 36-40 When the plugin namespace is scanned, all packages on the current ``PYTHONPATH`` are examined and the entry point from the second package is found and can be loaded without the application having to know where the plugin is actually installed.