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# encoding: utf-8
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# -*- test-case-name: IPython.kernel.tests.test_taskxmlrpc -*-
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"""A Foolscap interface to a TaskController.
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This class lets Foolscap clients talk to a TaskController.
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"""
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__docformat__ = "restructuredtext en"
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#-------------------------------------------------------------------------------
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# Copyright (C) 2008 The IPython Development Team
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#
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# Distributed under the terms of the BSD License. The full license is in
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# the file COPYING, distributed as part of this software.
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#-------------------------------------------------------------------------------
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#-------------------------------------------------------------------------------
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# Imports
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#-------------------------------------------------------------------------------
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import cPickle as pickle
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from zope.interface import Interface, implements
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from twisted.internet import defer
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from twisted.python import components
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try:
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from foolscap.api import Referenceable
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except ImportError:
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from foolscap import Referenceable
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from IPython.kernel import task as taskmodule
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from IPython.kernel.clientinterfaces import (
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IFCClientInterfaceProvider,
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IBlockingClientAdaptor
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)
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from IPython.kernel.mapper import (
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TaskMapper,
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ITaskMapperFactory,
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IMapper
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)
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from IPython.kernel.parallelfunction import (
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ParallelFunction,
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ITaskParallelDecorator
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)
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#-------------------------------------------------------------------------------
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# The Controller side of things
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#-------------------------------------------------------------------------------
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class IFCTaskController(Interface):
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"""Foolscap interface to task controller.
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See the documentation of `ITaskController` for more information.
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"""
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def remote_run(binTask):
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""""""
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def remote_abort(taskid):
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""""""
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def remote_get_task_result(taskid, block=False):
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""""""
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def remote_barrier(taskids):
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""""""
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def remote_spin():
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""""""
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def remote_queue_status(verbose):
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""""""
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def remote_clear():
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""""""
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class FCTaskControllerFromTaskController(Referenceable):
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"""
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Adapt a `TaskController` to an `IFCTaskController`
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This class is used to expose a `TaskController` over the wire using
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the Foolscap network protocol.
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"""
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implements(IFCTaskController, IFCClientInterfaceProvider)
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def __init__(self, taskController):
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self.taskController = taskController
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#---------------------------------------------------------------------------
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# Non interface methods
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#---------------------------------------------------------------------------
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def packageFailure(self, f):
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f.cleanFailure()
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return self.packageSuccess(f)
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def packageSuccess(self, obj):
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serial = pickle.dumps(obj, 2)
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return serial
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#---------------------------------------------------------------------------
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# ITaskController related methods
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#---------------------------------------------------------------------------
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def remote_run(self, ptask):
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try:
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task = pickle.loads(ptask)
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task.uncan_task()
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except:
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d = defer.fail(pickle.UnpickleableError("Could not unmarshal task"))
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else:
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d = self.taskController.run(task)
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d.addCallback(self.packageSuccess)
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d.addErrback(self.packageFailure)
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return d
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def remote_abort(self, taskid):
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d = self.taskController.abort(taskid)
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d.addCallback(self.packageSuccess)
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d.addErrback(self.packageFailure)
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return d
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def remote_get_task_result(self, taskid, block=False):
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d = self.taskController.get_task_result(taskid, block)
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d.addCallback(self.packageSuccess)
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d.addErrback(self.packageFailure)
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return d
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def remote_barrier(self, taskids):
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d = self.taskController.barrier(taskids)
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d.addCallback(self.packageSuccess)
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d.addErrback(self.packageFailure)
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return d
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def remote_spin(self):
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d = self.taskController.spin()
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d.addCallback(self.packageSuccess)
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d.addErrback(self.packageFailure)
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return d
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def remote_queue_status(self, verbose):
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d = self.taskController.queue_status(verbose)
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d.addCallback(self.packageSuccess)
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d.addErrback(self.packageFailure)
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return d
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def remote_clear(self):
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return self.taskController.clear()
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def remote_get_client_name(self):
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return 'IPython.kernel.taskfc.FCTaskClient'
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components.registerAdapter(FCTaskControllerFromTaskController,
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taskmodule.ITaskController, IFCTaskController)
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#-------------------------------------------------------------------------------
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# The Client side of things
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#-------------------------------------------------------------------------------
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class FCTaskClient(object):
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"""
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Client class for Foolscap exposed `TaskController`.
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This class is an adapter that makes a `RemoteReference` to a
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`TaskController` look like an actual `ITaskController` on the client side.
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This class also implements `IBlockingClientAdaptor` so that clients can
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automatically get a blocking version of this class.
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"""
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implements(
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taskmodule.ITaskController,
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IBlockingClientAdaptor,
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ITaskMapperFactory,
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IMapper,
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ITaskParallelDecorator
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)
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def __init__(self, remote_reference):
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self.remote_reference = remote_reference
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#---------------------------------------------------------------------------
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# Non interface methods
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#---------------------------------------------------------------------------
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def unpackage(self, r):
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return pickle.loads(r)
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#---------------------------------------------------------------------------
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# ITaskController related methods
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#---------------------------------------------------------------------------
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def run(self, task):
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"""Run a task on the `TaskController`.
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See the documentation of the `MapTask` and `StringTask` classes for
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details on how to build a task of different types.
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:Parameters:
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task : an `ITask` implementer
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:Returns: The int taskid of the submitted task. Pass this to
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`get_task_result` to get the `TaskResult` object.
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"""
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assert isinstance(task, taskmodule.BaseTask), "task must be a Task object!"
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task.can_task()
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ptask = pickle.dumps(task, 2)
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task.uncan_task()
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d = self.remote_reference.callRemote('run', ptask)
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d.addCallback(self.unpackage)
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return d
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def get_task_result(self, taskid, block=False):
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"""
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Get a task result by taskid.
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:Parameters:
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taskid : int
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The taskid of the task to be retrieved.
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block : boolean
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Should I block until the task is done?
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:Returns: A `TaskResult` object that encapsulates the task result.
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"""
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d = self.remote_reference.callRemote('get_task_result', taskid, block)
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d.addCallback(self.unpackage)
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return d
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def abort(self, taskid):
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"""
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Abort a task by taskid.
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:Parameters:
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taskid : int
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The taskid of the task to be aborted.
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"""
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d = self.remote_reference.callRemote('abort', taskid)
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d.addCallback(self.unpackage)
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return d
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def barrier(self, taskids):
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"""Block until a set of tasks are completed.
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:Parameters:
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taskids : list, tuple
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A sequence of taskids to block on.
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"""
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d = self.remote_reference.callRemote('barrier', taskids)
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d.addCallback(self.unpackage)
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return d
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def spin(self):
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"""
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Touch the scheduler, to resume scheduling without submitting a task.
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This method only needs to be called in unusual situations where the
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scheduler is idle for some reason.
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"""
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d = self.remote_reference.callRemote('spin')
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d.addCallback(self.unpackage)
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return d
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def queue_status(self, verbose=False):
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"""
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Get a dictionary with the current state of the task queue.
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:Parameters:
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verbose : boolean
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If True, return a list of taskids. If False, simply give
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the number of tasks with each status.
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:Returns:
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A dict with the queue status.
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"""
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d = self.remote_reference.callRemote('queue_status', verbose)
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d.addCallback(self.unpackage)
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return d
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def clear(self):
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"""
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Clear all previously run tasks from the task controller.
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This is needed because the task controller keep all task results
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in memory. This can be a problem is there are many completed
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tasks. Users should call this periodically to clean out these
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cached task results.
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"""
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d = self.remote_reference.callRemote('clear')
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return d
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def adapt_to_blocking_client(self):
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"""
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Wrap self in a blocking version that implements `IBlockingTaskClient.
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"""
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from IPython.kernel.taskclient import IBlockingTaskClient
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return IBlockingTaskClient(self)
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def map(self, func, *sequences):
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"""
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Apply func to *sequences elementwise. Like Python's builtin map.
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This version is load balanced.
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"""
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return self.mapper().map(func, *sequences)
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def mapper(self, clear_before=False, clear_after=False, retries=0,
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recovery_task=None, depend=None, block=True):
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"""
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Create an `IMapper` implementer with a given set of arguments.
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The `IMapper` created using a task controller is load balanced.
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See the documentation for `IPython.kernel.task.BaseTask` for
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documentation on the arguments to this method.
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"""
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return TaskMapper(self, clear_before=clear_before,
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clear_after=clear_after, retries=retries,
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recovery_task=recovery_task, depend=depend, block=block)
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def parallel(self, clear_before=False, clear_after=False, retries=0,
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recovery_task=None, depend=None, block=True):
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mapper = self.mapper(clear_before, clear_after, retries,
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recovery_task, depend, block)
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pf = ParallelFunction(mapper)
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return pf
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