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from graph import Node
import threading
import new
class OutputChannelTask(Node):
"""Abstracts a named task as part of a set of interdependent tasks, which contains
additional information on how the task should be queued and processed.
Results of the item processing are sent to an output channel, which is to be
set by the creator
* **min_count** assures that not less than min_count items will be processed per call.
* **max_chunksize** assures that multi-threading is happening in smaller chunks. If
someone wants all items to be processed, using read(0), the whole task would go to
one worker, as well as dependent tasks. If you want finer granularity , you can
specify this here, causing chunks to be no larger than max_chunksize"""
__slots__ = ( '_read', # method to yield items to process
'_out_wc', # output write channel
'_exc', # exception caught
'fun', # function to call with items read
'min_count', # minimum amount of items to produce, None means no override
'max_chunksize', # maximium amount of items to process per process call
'apply_single' # apply single items even if multiple where read
)
def __init__(self, id, fun, apply_single=True, min_count=None, max_chunksize=0):
Node.__init__(self, id)
self._read = None # to be set by subclasss
self._out_wc = None # to be set later
self._exc = None
self.fun = fun
self.min_count = None
self.max_chunksize = 0 # note set
self.apply_single = apply_single
def is_done(self):
""":return: True if we are finished processing"""
return self._out_wc.closed
def set_done(self):
"""Set ourselves to being done, has we have completed the processing"""
self._out_wc.close()
def error(self):
""":return: Exception caught during last processing or None"""
return self._exc
def process(self, count=0):
"""Process count items and send the result individually to the output channel"""
items = self._read(count)
try:
if self.apply_single:
for item in items:
self._out_wc.write(self.fun(item))
# END for each item
else:
self._out_wc.write(self.fun(items))
# END handle single apply
except Exception, e:
self._exc = e
self.set_done()
# END exception handling
# if we didn't get all demanded items, which is also the case if count is 0
# we have depleted the input channel and are done
# We could check our output channel for how many items we have and put that
# into the equation, but whats important is that we were asked to produce
# count items.
if not items or len(items) != count:
self.set_done()
# END handle done state
#{ Configuration
class ThreadTaskBase(object):
"""Describes tasks which can be used with theaded pools"""
pass
class InputIteratorTaskBase(OutputChannelTask):
"""Implements a task which processes items from an iterable in a multi-processing
safe manner"""
__slots__ = ('_iterator', '_lock')
# the type of the lock to use when reading from the iterator
lock_type = None
def __init__(self, iterator, *args, **kwargs):
OutputChannelTask.__init__(self, *args, **kwargs)
if not hasattr(iterator, 'next'):
raise ValueError("Iterator %r needs a next() function" % iterator)
self._iterator = iterator
self._lock = self.lock_type()
self._read = self.__read
def __read(self, count=0):
"""Read count items from the iterator, and return them"""
self._lock.acquire()
try:
if count == 0:
return list(self._iterator)
else:
out = list()
it = self._iterator
for i in xrange(count):
try:
out.append(it.next())
except StopIteration:
break
# END handle empty iterator
# END for each item to take
return out
# END handle count
finally:
self._lock.release()
# END handle locking
class InputIteratorThreadTask(InputIteratorTaskBase, ThreadTaskBase):
"""An input iterator for threaded pools"""
lock_type = threading.Lock
class InputChannelTask(OutputChannelTask):
"""Uses an input channel as source for reading items
For instantiation, it takes all arguments of its base, the first one needs
to be the input channel to read from though."""
__slots__ = (
'in_rc', # channel to read items from
'_pool_ref' # to be set by Pool
)
def __init__(self, in_rc, *args, **kwargs):
OutputChannelTask.__init__(self, *args, **kwargs)
self._in_rc = in_rc
def process(self, count=1):
"""Verify our setup, and do some additional checking, before the
base implementation can permanently perform all operations"""
self._read = self._in_rc.read
# make sure we don't trigger the pool if we read from a pool channel which
# belongs to our own pool. Channels from different pools are fine though,
# there we want to trigger its computation
if isinstance(self._in_rc, RPoolChannel) and self._in_rc._pool is self._pool_ref():
self._read = self._in_rc._read
# permanently install our base for processing
self.process = new.instancemethod(OutputChannelTask.__dict__['process'], self, type(self))
# and call it
return OutputChannelTask.process(self, count)
#{ Configuration
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