Add a secondary booting vm example
This one uses rebinds to make simultaneous vms using a parallel engine to run the non-dependent tasks at the same time (the 2 vms are created at the same time). Change-Id: I795fa279d777e7a54e7ef34bf88021600c70a506
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91
taskflow/examples/fake_boot_vm2.py
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91
taskflow/examples/fake_boot_vm2.py
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# -*- coding: utf-8 -*-
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# vim: tabstop=4 shiftwidth=4 softtabstop=4
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# Copyright (C) 2012-2013 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 random
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import sys
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logging.basicConfig(level=logging.ERROR)
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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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from taskflow.patterns import graph_flow as gf
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from taskflow.patterns import linear_flow as lf
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from taskflow import engines
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from taskflow import task
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class PrintText(task.Task):
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def __init__(self, print_what):
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super(PrintText, self).__init__(name="Print: %s" % print_what)
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self._text = print_what
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def execute(self):
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print("-" * (len(self._text)))
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print(self._text)
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print("-" * (len(self._text)))
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class AllocateIP(task.Task):
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def execute(self):
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return "192.168.0.%s" % (random.randint(1, 254))
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class AllocateVolumes(task.Task):
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def execute(self):
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volumes = []
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for i in range(0, random.randint(0, 10)):
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volumes.append("/dev/vda%s" % (i + 1))
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return volumes
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class CreateVM(task.Task):
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def execute(self, net_ip, volumes):
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print("Making vm %s using ip %s" % (self.name, net_ip))
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if volumes:
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print("With volumes:")
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for v in volumes:
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print(" - %s" % (v))
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flow = lf.Flow("root").add(
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PrintText("Starting"),
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gf.Flow('maker').add(
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# First vm creation
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AllocateVolumes("volumes-1", provides='volumes_1'),
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AllocateIP("ip-1", provides='net_ip1'),
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CreateVM("vm-1", rebind=['net_ip1', 'volumes_1']),
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# Second vm creation
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AllocateVolumes("volumes-2", provides='volumes_2'),
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AllocateIP("ip-2", provides='net_ip2'),
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CreateVM("vm-2", rebind=['net_ip2', 'volumes_2'])
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),
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PrintText("Finished"))
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# The above vms will be created in parallel, dependencies will be ran in order
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# so that means the ip and volume creation for each vm will run before the
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# final vm creation is done, but both vm creates will run at the same time.
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#
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# Pretty cool!
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engines.run(flow, engine_conf='parallel')
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