Files
deb-python-taskflow/taskflow/examples/fake_boot_vm.py
Joshua Harlow 9be6c5d18a Add a example which simulates booting a vm
Show how a booting a vm like workflow could be
structured via an example and add some simple
reverting methods which will attempt to undo
the changes that they applied (automatically).

This flow is similar to how nova runs in a way.

Change-Id: Id068ef80d7702b9b5f9af3c2569b52de3c58d32d
2013-08-01 20:47:09 -07:00

185 lines
5.5 KiB
Python

import logging
import os
import random
import sys
import time
import traceback
import uuid
logging.basicConfig(level=logging.ERROR)
my_dir_path = os.path.dirname(os.path.abspath(__file__))
sys.path.insert(0, os.path.join(os.path.join(my_dir_path, os.pardir),
os.pardir))
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['flow'], state))
# This prints out the transitions a flows tasks are going through.
def task_notify(state, details):
print("'%s' entered state: %s" % (details['runner'], 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')
self.provides.update(['vm_spec'])
def __call__(self, context):
print "Validating api inputs for %s" % (context)
return {
'vm_spec': {
'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')
self.provides.update(['vm_reservation_spec'])
self.requires.update(['vm_spec'])
def revert(self, context, result, cause):
reserved_spec = result['vm_reservation_spec']
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] += vm_spec[k]
print 'Space after: %s' % (MY_DB['space'])
def __call__(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] < vm_spec[k]:
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 {
'vm_reservation_spec': {
'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')
self.provides.update(['vm_hole'])
self.requires.update(['vm_reservation_spec'])
def revert(self, context, result, cause):
vm_uuid = result['vm_uuid']
vm_place = result['vm_hole']
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 __call__(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_hole': vm_place,
'vm_uuid': vm_uuid,
}
# Fail booting a vm to see what happens.
class BootVM(task.Task):
def __init__(self):
super(BootVM, self).__init__('boot-vm')
self.provides.update(['vm_booted'])
self.requires.update(['vm_reservation_spec', 'vm_hole'])
def __call__(self, context, vm_reservation_spec, vm_hole):
raise RuntimeError("Failed booting")
# Lets try booting a vm (not really) and see how the reversions work.
flo = gf.Flow("Boot-Fake-Vm")
flo.add(ValidateAPIInputs())
flo.add(PeformReservation())
flo.add(ScheduleVM())
flo.add(BootVM())
# Get notified of the state changes the flow is going through.
flo.notifier.register('*', flow_notify)
# Get notified of the state changes the flows tasks/runners are going through.
flo.task_notifier.register('*', task_notify)
# Simulates what nova/glance/keystone... calls a context
context = {
'user_id': 'xyz',
'project_id': 'abc',
'is_admin': True,
}
context = Context(**context)
print '-' * 7
print 'Running'
print '-' * 7
try:
flo.run(context)
except Exception as e:
traceback.print_exc()
print '-- Flow state %s' % (flo.state)
print '-' * 11
print 'All results'
print '-' * 11
for (tid, v) in flo.results.items():
print '%s => %s' % (tid, v)