8d143187ea
Rename the single threaded engine to be the serial engine which better matches its entrypoint, do the same for the multithreaded engine (renaming it to the parallel engine). Change-Id: I6174b4f1936858c13eeee416bfa3836cf20a1350
92 lines
2.9 KiB
Python
92 lines
2.9 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright (C) 2014 Yahoo! Inc. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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import logging
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import os
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import sys
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import six
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logging.basicConfig(level=logging.ERROR)
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self_dir = os.path.abspath(os.path.dirname(__file__))
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top_dir = os.path.abspath(os.path.join(os.path.dirname(__file__),
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os.pardir,
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os.pardir))
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sys.path.insert(0, top_dir)
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sys.path.insert(0, self_dir)
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from taskflow import engines
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from taskflow.patterns import linear_flow as lf
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from taskflow.persistence import backends as persistence_backends
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from taskflow import task
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from taskflow.utils import persistence_utils
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# INTRO: This examples shows how to run a set of engines at the same time, each
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# running in different engines using a single thread of control to iterate over
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# each engine (which causes that engine to advanced to its next state during
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# each iteration).
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class EchoTask(task.Task):
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def execute(self, value):
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print(value)
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return chr(ord(value) + 1)
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def make_alphabet_flow(i):
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f = lf.Flow("alphabet_%s" % (i))
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start_value = 'A'
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end_value = 'Z'
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curr_value = start_value
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while ord(curr_value) <= ord(end_value):
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next_value = chr(ord(curr_value) + 1)
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if curr_value != end_value:
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f.add(EchoTask(name="echoer_%s" % curr_value,
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rebind={'value': curr_value},
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provides=next_value))
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else:
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f.add(EchoTask(name="echoer_%s" % curr_value,
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rebind={'value': curr_value}))
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curr_value = next_value
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return f
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# Adjust this number to change how many engines/flows run at once.
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flow_count = 1
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flows = []
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for i in range(0, flow_count):
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f = make_alphabet_flow(i + 1)
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flows.append(make_alphabet_flow(i + 1))
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be = persistence_backends.fetch(conf={'connection': 'memory'})
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book = persistence_utils.temporary_log_book(be)
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engine_iters = []
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for f in flows:
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fd = persistence_utils.create_flow_detail(f, book, be)
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e = engines.load(f, flow_detail=fd, backend=be, book=book)
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e.compile()
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e.storage.inject({'A': 'A'})
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e.prepare()
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engine_iters.append(e.run_iter())
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while engine_iters:
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for it in list(engine_iters):
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try:
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print(six.next(it))
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except StopIteration:
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engine_iters.remove(it)
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