Files
deb-python-taskflow/doc/source/notifications.rst
Ivan A. Melnikov 98fade1412 Rework documentation of notifications
- move notifications docs from inputs and outputs to separate page;
- listeners and TransitionNotifier documented;
  - docstrings improved, missing docstrings added;
  - documentation put to notifications page;
- inputs and outputs page edited.

Change-Id: Ib283836173a806fbec81aa07b3292e2672bf6483
2014-03-28 23:54:56 +04:00

167 lines
5.2 KiB
ReStructuredText

===========================
Notifications and Listeners
===========================
.. testsetup::
from taskflow import task
from taskflow.patterns import linear_flow
from taskflow import engines
--------
Overview
--------
Engines provide a way to receive notification on task and flow state
transitions, which is useful for monitoring, logging, metrics, debugging
and plenty of other tasks.
To receive these notifications you should register a callback in
:py:class:`~taskflow.utils.misc.TransitionNotifier` provided by engine.
Each engine provides two of them: one notifies about flow state changes,
and another notifies about changes of tasks.
TaskFlow also has a set of predefined :ref:`listeners`, and provides
means to write your own listeners, which can be more convenient than
using raw callbacks.
--------------------------------------
Receiving Notifications with Callbacks
--------------------------------------
To manage notifications instances of
:py:class:`~taskflow.utils.misc.TransitionNotifier` are used.
.. autoclass:: taskflow.utils.misc.TransitionNotifier
Flow Notifications
------------------
To receive notification on flow state changes use
:py:class:`~taskflow.utils.misc.TransitionNotifier` available as
``notifier`` property of the engine. A basic example is:
.. doctest::
>>> class CatTalk(task.Task):
... def execute(self, meow):
... print(meow)
... return "cat"
...
>>> class DogTalk(task.Task):
... def execute(self, woof):
... print(woof)
... return 'dog'
...
>>> def flow_transition(state, details):
... print("Flow '%s' transition to state %s" % (details['flow_name'], state))
...
>>>
>>> flo = linear_flow.Flow("cat-dog").add(
... CatTalk(), DogTalk(provides="dog"))
>>> eng = engines.load(flo, store={'meow': 'meow', 'woof': 'woof'})
>>> eng.notifier.register("*", flow_transition)
>>> eng.run()
Flow 'cat-dog' transition to state RUNNING
meow
woof
Flow 'cat-dog' transition to state SUCCESS
Task notifications
------------------
To receive notification on task state changes use
:py:class:`~taskflow.utils.misc.TransitionNotifier` available as
``task_notifier`` property of the engine. A basic example is:
.. doctest::
>>> class CatTalk(task.Task):
... def execute(self, meow):
... print(meow)
... return "cat"
...
>>> class DogTalk(task.Task):
... def execute(self, woof):
... print(woof)
... return 'dog'
...
>>> def task_transition(state, details):
... print("Task '%s' transition to state %s" % (details['task_name'], state))
...
>>>
>>> flo = linear_flow.Flow("cat-dog")
>>> flo.add(CatTalk(), DogTalk(provides="dog"))
<taskflow.patterns.linear_flow.Flow object at 0x...>
>>> eng = engines.load(flo, store={'meow': 'meow', 'woof': 'woof'})
>>> eng.task_notifier.register("*", task_transition)
>>> eng.run()
Task 'CatTalk' transition to state RUNNING
meow
Task 'CatTalk' transition to state SUCCESS
Task 'DogTalk' transition to state RUNNING
woof
Task 'DogTalk' transition to state SUCCESS
.. _listeners:
---------
Listeners
---------
TaskFlow comes with a set of predefined listeners -- helper classes that can be
used to do various actions on flow and/or tasks transitions. You can also
create your own listeners easily, which may be more convenient than using raw
callbacks for some use cases.
For example, this is how you can use
:py:class:`~taskflow.listeners.printing.PrintingListener`:
.. doctest::
>>> from taskflow.listeners import printing
>>> class CatTalk(task.Task):
... def execute(self, meow):
... print(meow)
... return "cat"
...
>>> class DogTalk(task.Task):
... def execute(self, woof):
... print(woof)
... return 'dog'
...
>>>
>>> flo = linear_flow.Flow("cat-dog").add(
... CatTalk(), DogTalk(provides="dog"))
>>> eng = engines.load(flo, store={'meow': 'meow', 'woof': 'woof'})
>>> with printing.PrintingListener(eng):
... eng.run()
...
taskflow.engines.action_engine.engine.SingleThreadedActionEngine: ... has moved flow 'cat-dog' (...) into state 'RUNNING'
taskflow.engines.action_engine.engine.SingleThreadedActionEngine: ... has moved task 'CatTalk' (...) into state 'RUNNING'
meow
taskflow.engines.action_engine.engine.SingleThreadedActionEngine: ... has moved task 'CatTalk' (...) into state 'SUCCESS' with result 'cat' (failure=False)
taskflow.engines.action_engine.engine.SingleThreadedActionEngine: ... has moved task 'DogTalk' (...) into state 'RUNNING'
woof
taskflow.engines.action_engine.engine.SingleThreadedActionEngine: ... has moved task 'DogTalk' (...) into state 'SUCCESS' with result 'dog' (failure=False)
taskflow.engines.action_engine.engine.SingleThreadedActionEngine: ... has moved flow 'cat-dog' (...) into state 'SUCCESS'
Basic Listener
--------------
.. autoclass:: taskflow.listeners.base.ListenerBase
Printing and Logging Listeners
------------------------------
.. autoclass:: taskflow.listeners.base.LoggingBase
.. autoclass:: taskflow.listeners.logging.LoggingListener
.. autoclass:: taskflow.listeners.printing.PrintingListener
Timing Listener
---------------
.. autoclass:: taskflow.listeners.timing.TimingListener