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
		
			
				
	
	
		
			60 lines
		
	
	
		
			2.0 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			60 lines
		
	
	
		
			2.0 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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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 engine using the engine iteration
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# capability, in between iterations other activities occur (in this case a
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# value is output to stdout); but more complicated actions can occur at the
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# boundary when a engine yields its current state back to the caller.
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class EchoNameTask(task.Task):
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    def execute(self):
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        print(self.name)
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f = lf.Flow("counter")
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for i in range(0, 10):
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    f.add(EchoNameTask("echo_%s" % (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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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.prepare()
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for i, st in enumerate(e.run_iter(), 1):
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    print("Transition %s: %s" % (i, st))
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