Doc on how to implement a custom Watcher action

This documentation describes step-by-step the process for implementing
a new action in Watcher.

Change-Id: I978b81cdf9ac6dcf43eb3ecbb79ab64ae4fd6f72
Closes-Bug: #1534639
This commit is contained in:
Vincent Françoise
2016-02-15 11:44:15 +01:00
parent 78f122f241
commit 58ea85c852
4 changed files with 197 additions and 0 deletions

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@@ -58,22 +58,57 @@ class BaseAction(object):
@abc.abstractmethod
def execute(self):
"""Executes the main logic of the action
This method can be used to perform an action on a given set of input
parameters to accomplish some type of operation. This operation may
return a boolean value as a result of its execution. If False, this
will be considered as an error and will then trigger the reverting of
the actions.
:returns: A flag indicating whether or not the action succeeded
:rtype: bool
"""
raise NotImplementedError()
@abc.abstractmethod
def revert(self):
"""Revert this action
This method should rollback the resource to its initial state in the
event of a faulty execution. This happens when the action raised an
exception during its :py:meth:`~.BaseAction.execute`.
"""
raise NotImplementedError()
@abc.abstractmethod
def precondition(self):
"""Hook: called before the execution of an action
This method can be used to perform some initializations or to make
some more advanced validation on its input parameters. So if you wish
to block its execution based on this factor, `raise` the related
exception.
"""
raise NotImplementedError()
@abc.abstractmethod
def postcondition(self):
"""Hook: called after the execution of an action
This function is called regardless of whether an action succeded or
not. So you can use it to perform cleanup operations.
"""
raise NotImplementedError()
@abc.abstractproperty
def schema(self):
"""Defines a Schema that the input parameters shall comply to
:returns: A schema declaring the input parameters this action should be
provided along with their respective constraints
:rtype: :py:class:`voluptuous.Schema` instance
"""
raise NotImplementedError()
def validate_parameters(self):