Strategy plugins documentation

Following https://review.openstack.org/#/c/245903, this patchset
documents the implementation and integration of custom Strategies
with Watcher.

Change-Id: I573758695d67d523834f145824b6f6cfdd8997fe
This commit is contained in:
Vincent Françoise 2015-11-23 11:35:47 +01:00
parent 7c52a1448d
commit 3a03eb930c
3 changed files with 126 additions and 0 deletions

121
doc/source/dev/plugins.rst Normal file
View File

@ -0,0 +1,121 @@
===============
Watcher plugins
===============
Writing a Watcher Decision Engine plugin
========================================
Watcher has an external :ref:`strategy <strategy_definition>` plugin interface
which gives anyone the ability to integrate an external :ref:`strategy
<strategy_definition>` in order to make use of placement algorithms.
This section gives some guidelines on how to implement and integrate custom
Stategies with Watcher.
Pre-requisites
--------------
Before using any strategy, you should make sure you have your Telemetry service
configured so that it would provide you all the metrics you need to be able to
use your strategy.
Creating a new plugin
---------------------
First of all you have to:
- Extend the base ``BaseStrategy`` class
- Implement its ``execute`` method
Here is an example showing how you can write a plugin called ``DummyStrategy``:
.. code-block:: python
# Filepath = third-party/third_party/dummy.py
# Import path = third_party.dummy
class DummyStrategy(BaseStrategy):
DEFAULT_NAME = "dummy"
DEFAULT_DESCRIPTION = "Dummy Strategy"
def __init__(self, name=DEFAULT_NAME, description=DEFAULT_DESCRIPTION):
super(DummyStrategy, self).__init__(name, description)
def execute(self, model):
self.solution.add_change_request(
Migrate(vm=my_vm, source_hypervisor=src, dest_hypervisor=dest)
)
# Do some more stuff here ...
return self.solution
As you can see in the above example, the ``execute()`` method returns a
solution as required.
Please note that your strategy class will be instantiated without any
parameter. Therefore, you should make sure not to make any of them required in
your ``__init__`` method.
Abstract Plugin Class
---------------------
Here below is the abstract ``BaseStrategy`` class that every single strategy
should implement:
.. automodule:: watcher.decision_engine.api.strategy.strategy
:noindex:
.. autoclass:: BaseStrategy
:members:
Add a new entry point
---------------------
In order for the Watcher Decision Engine to load your new strategy, the
strategy must be registered as a named entry point under the
``watcher_strategies`` entry point of your ``setup.py`` file. If you are using
pbr_, this entry point should be placed in your ``setup.cfg`` file.
The name you give to your entry point has to be unique.
Here below is how you would proceed to register ``DummyStrategy`` using pbr_:
.. code-block:: ini
[entry_points]
watcher_strategies =
dummy = third_party.dummy:DummyStrategy
To get a better understanding on how to implement a more advanced strategy,
have a look at the :py:class:`BasicConsolidation` class.
.. _pbr: http://docs.openstack.org/developer/pbr/
Using strategy plugins
----------------------
The Watcher Decision Engine service will automatically discover any installed
plugins when it is run. If a Python package containing a custom plugin is
installed within the same environment as Watcher, Watcher will automatically
make that plugin available for use.
At this point, the way Watcher will use your new strategy if you reference it
in the ``goals`` under the ``[watcher_goals]`` section of your ``watcher.conf``
configuration file. For example, if you want to use a ``dummy`` strategy you
just installed, you would have to associate it to a goal like this:
.. code-block:: ini
[watcher_goals]
goals = BALANCE_LOAD:basic,MINIMIZE_ENERGY_CONSUMPTION:dummy
You should take care when installing strategy plugins. By their very nature,
there are no guarantees that utilizing them as is will be supported, as
they may require a set of metrics which is not yet available within the
Telemetry service. In such a case, please do make sure that you first
check/configure the latter so your new strategy can be fully functional.

View File

@ -22,6 +22,7 @@ Introduction
dev/architecture
dev/contributing
dev/plugins
API References

View File

@ -27,6 +27,10 @@ LOG = log.getLogger(__name__)
@six.add_metaclass(abc.ABCMeta)
class BaseStrategy(object):
"""A Strategy is an algorithm implementation which is able to find a
Solution for a given Goal.
"""
def __init__(self, name=None, description=None):
self._name = name
self.description = description