Files
deb-python-taskflow/taskflow/examples/fake_boot_vm.py
Joshua Harlow b1f81badfd Bump requirements to the latest
Match the requirements for taskflow with
the openstack requirements (note the upstream
requirements are missing 'futures' and 'networkx')
and update the new hacking violations that were
detected due to the hacking requirement version
bump.

Change-Id: I8d1326cf2a8b1ea062f5e9aacd0c4f8261c6531a
2013-10-05 21:49:08 +00:00

196 lines
6.0 KiB
Python

# -*- coding: utf-8 -*-
# vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright (C) 2012-2013 Yahoo! Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import logging
import os
import random
import sys
import time
import uuid
logging.basicConfig(level=logging.ERROR)
top_dir = os.path.abspath(os.path.join(os.path.dirname(__file__),
os.pardir,
os.pardir))
sys.path.insert(0, top_dir)
import taskflow.engines
from taskflow.patterns import graph_flow as gf
from taskflow import task
# Simulates some type of persistance.
MY_DB = {
'space': {
'cpus': 2,
'memory': 8192,
'disk': 1024,
},
'vms': {},
'places': ['127.0.0.1', '127.0.0.2', '127.0.0.3'],
}
# This prints out the transitions a flow is going through.
def flow_notify(state, details):
print("'%s' entered state: %s" % (details.get('flow_name'), state))
# This prints out the transitions a flows tasks are going through.
def task_notify(state, details):
print("'%s' entered state: %s" % (details.get('task_name'), state))
# Simulates what nova/glance/keystone... calls a context
class Context(object):
def __init__(self, **items):
self.__dict__.update(items)
def __str__(self):
return "Context: %s" % (self.__dict__)
# Simulates translating an api request into a validated format (aka a vm-spec)
# that will later be acted upon.
class ValidateAPIInputs(task.Task):
def __init__(self):
super(ValidateAPIInputs, self).__init__('validates-api-inputs',
provides='vm_spec')
def execute(self, context):
print "Validating api inputs for %s" % (context)
return {'cpus': 1,
'memory': 512,
'disk': 100,
}
# Simulates reserving the space for a vm and associating the vm to be with
# a unique identifier.
class PeformReservation(task.Task):
def __init__(self):
super(PeformReservation, self).__init__('reserve-vm',
provides='vm_reservation_spec')
def revert(self, context, vm_spec, result):
reserved_spec = result
print("Undoing reservation of %s" % (reserved_spec['uuid']))
vm_spec = MY_DB['vms'].pop(reserved_spec['uuid'])
print 'Space before: %s' % (MY_DB['space'])
# Unreserve 'atomically'
for (k, v) in vm_spec.items():
if k in ['scheduled']:
continue
MY_DB['space'][k] += v
print 'Space after: %s' % (MY_DB['space'])
def execute(self, context, vm_spec):
print 'Reserving %s for %s' % (vm_spec, context)
# Reserve 'atomically'
print 'Space before: %s' % (MY_DB['space'])
for (k, v) in vm_spec.items():
if MY_DB['space'][k] < v:
raise RuntimeError("Not enough %s available" % (k))
MY_DB['space'][k] -= vm_spec[k]
print 'Space after: %s' % (MY_DB['space'])
# Create a fake 'db' entry for the vm
vm_uuid = str(uuid.uuid4())
MY_DB['vms'][vm_uuid] = vm_spec
MY_DB['vms'][vm_uuid]['scheduled'] = False
return {'uuid': vm_uuid,
'reserved_on': time.time(),
'vm_spec': vm_spec,
}
# Simulates scheudling a vm to some location
class ScheduleVM(task.Task):
def __init__(self):
super(ScheduleVM, self).__init__('find-hole-for-vm',
provides=['vm_hole', 'vm_uuid'])
def revert(self, context, vm_reservation_spec, result):
vm_uuid = result[1]
vm_place = result[0]
print "Marking %s as not having a home at %s anymore" % (vm_uuid,
vm_place)
MY_DB['vms'][vm_uuid]['scheduled'] = False
MY_DB['places'].append(vm_place)
def execute(self, context, vm_reservation_spec):
print "Finding a place to put %s" % (vm_reservation_spec)
vm_uuid = vm_reservation_spec['uuid']
MY_DB['vms'][vm_uuid]['scheduled'] = True
# Reserve the place 'atomically'
vm_place = random.choice(MY_DB['places'])
print 'Placing %s at %s' % (vm_uuid, vm_place)
MY_DB['places'].remove(vm_place)
return vm_place, vm_uuid
# Fail booting a vm to see what happens.
class BootVM(task.Task):
def __init__(self):
super(BootVM, self).__init__('boot-vm', provides='vm_booted')
def execute(self, context, vm_reservation_spec, vm_hole):
raise RuntimeError("Failed booting")
# Lets try booting a vm (not really) and see how the reversions work.
flow = gf.Flow("Boot-Fake-Vm").add(
ValidateAPIInputs(),
PeformReservation(),
ScheduleVM(),
BootVM())
# Simulates what nova/glance/keystone... calls a context
context = {
'user_id': 'xyz',
'project_id': 'abc',
'is_admin': True,
}
context = Context(**context)
# Load the flow
engine = taskflow.engines.load(flow, store={'context': context})
# Get notified of the state changes the flow is going through.
engine.notifier.register('*', flow_notify)
# Get notified of the state changes the flows tasks/runners are going through.
engine.task_notifier.register('*', task_notify)
print '-' * 7
print 'Running'
print '-' * 7
try:
engine.run()
except Exception as e:
print 'Flow failed: %r' % e
print '-' * 11
print 'All results'
print '-' * 11
result = engine.storage.fetch_all()
for tid in sorted(result):
print '%s => %s' % (tid, result[tid])