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# encoding: utf-8
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# -*- test-case-name: IPython.kernel.tests.test_taskcontrollerxmlrpc -*-
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"""
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A blocking version of the task client.
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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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from zope.interface import Interface, implements
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from twisted.python import components, log
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from IPython.kernel.twistedutil import blockingCallFromThread
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from IPython.kernel import task, error
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from IPython.kernel.mapper import (
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SynchronousTaskMapper,
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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 task client
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#-------------------------------------------------------------------------------
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class IBlockingTaskClient(Interface):
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"""
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A vague interface of the blocking task client
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"""
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pass
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class BlockingTaskClient(object):
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"""
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A blocking task client that adapts a non-blocking one.
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"""
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implements(
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IBlockingTaskClient,
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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, task_controller):
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self.task_controller = task_controller
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self.block = True
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def run(self, task, block=False):
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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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tid = blockingCallFromThread(self.task_controller.run, task)
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if block:
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return self.get_task_result(tid, block=True)
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else:
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return tid
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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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return blockingCallFromThread(self.task_controller.get_task_result,
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taskid, block)
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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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return blockingCallFromThread(self.task_controller.abort, taskid)
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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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return blockingCallFromThread(self.task_controller.barrier, taskids)
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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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return blockingCallFromThread(self.task_controller.spin)
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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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return blockingCallFromThread(self.task_controller.queue_status, verbose)
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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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return blockingCallFromThread(self.task_controller.clear)
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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 SynchronousTaskMapper(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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components.registerAdapter(BlockingTaskClient,
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task.ITaskController, IBlockingTaskClient)
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