def testRunWorkflow(self):
filename = os.path.join(os.path.dirname(__file__),
'xml/openwfe/workflow1.xml')
wf_specs = self.reader.parse_file(filename)
wf_spec = wf_specs[0]
for name in wf_spec.task_specs:
wf_spec.task_specs[name].reached_event.connect(self.on_reached_cb)
wf_spec.task_specs[name].completed_event.connect(
on_complete_cb, self.taken_path)
workflow = Workflow(wf_spec)
try:
workflow.complete_all()
except:
workflow.dump()
raise
path = [(1, 'Start'), (2, 'concurrence_1'), (3, 'task_a1'),
(4, 'task_a2'), (5, 'if_condition_1'), (6, 'task_a3'),
(7, 'if_condition_1_end'), (8, 'if_condition_2'),
(9, 'task_a5'), (10, 'if_condition_2_end'), (3, 'task_b1'),
(4, 'task_b2'), (5, 'concurrence_1_end'), (6, 'task_c1'),
(7, 'task_c2'), (8, 'End')]
assert_same_path(self, path, self.taken_path)
def testRunWorkflow(self):
wf = self.reader.parse_file(os.path.join(os.path.dirname(__file__), 'xml/openwfe/workflow1.xml'))
for name in wf[0].tasks:
wf[0].tasks[name].signal_connect('reached', self.on_reached_cb)
wf[0].tasks[name].signal_connect('completed', on_complete_cb, self.taken_path)
job = Job(wf[0])
try:
job.complete_all()
except:
job.dump()
raise
path = [( 1, 'Start'),
( 2, 'concurrence_1'),
( 3, 'task_a1'),
( 4, 'task_a2'),
( 5, 'if_condition_1'),
( 6, 'task_a3'),
( 7, 'if_condition_1_end'),
( 8, 'if_condition_2'),
( 9, 'task_a5'),
(10, 'if_condition_2_end'),
( 3, 'task_b1'),
( 4, 'task_b2'),
( 5, 'concurrence_1_end'),
( 6, 'task_c1'),
( 7, 'task_c2'),
( 8, 'End')]
assert_same_path(self, path, self.taken_path)
def testRunWorkflow(self):
filename = os.path.join(os.path.dirname(__file__), 'xml/openwfe/workflow1.xml')
wf_specs = self.reader.parse_file(filename)
wf_spec = wf_specs[0]
for name in wf_spec.task_specs:
wf_spec.task_specs[name].reached_event.connect(self.on_reached_cb)
wf_spec.task_specs[name].completed_event.connect(on_complete_cb, self.taken_path)
workflow = Workflow(wf_spec)
try:
workflow.complete_all()
except:
workflow.dump()
raise
path = [( 1, 'Start'),
( 2, 'concurrence_1'),
( 3, 'task_a1'),
( 4, 'task_a2'),
( 5, 'if_condition_1'),
( 6, 'task_a3'),
( 7, 'if_condition_1_end'),
( 8, 'if_condition_2'),
( 9, 'task_a5'),
(10, 'if_condition_2_end'),
( 3, 'task_b1'),
( 4, 'task_b2'),
( 5, 'concurrence_1_end'),
( 6, 'task_c1'),
( 7, 'task_c2'),
( 8, 'End')]
assert_same_path(self, path, self.taken_path)
def testPickleSingle(self, workflow, job):
self.taken_path = {'reached': [],
'completed': []}
for name, task in workflow.tasks.iteritems():
task.signal_connect('reached',
on_reached_cb,
self.taken_path['reached'])
task.signal_connect('completed',
on_complete_cb,
self.taken_path['completed'])
# Execute a random number of steps.
for i in xrange(randint(0, len(workflow.tasks))):
job.complete_next()
# Store the workflow instance in a file.
output = open(self.data_file, 'wb')
pickle.dump(job, output, -1)
output.close()
before = job.get_dump()
# Load the workflow instance from a file and delete the file.
input = open(self.data_file, 'rb')
job = pickle.load(input)
input.close()
os.remove(self.data_file)
after = job.get_dump()
# Make sure that the state of the job did not change.
self.assert_(before == after, 'Before:\n' + before + '\n' \
+ 'After:\n' + after + '\n')
# Re-connect signals, because the pickle dump now only contains a
# copy of self.taken_path.
for name, task in job.workflow.tasks.iteritems():
task.signal_disconnect('reached', on_reached_cb)
task.signal_disconnect('completed', on_complete_cb)
task.signal_connect('reached',
on_reached_cb,
self.taken_path['reached'])
task.signal_connect('completed',
on_complete_cb,
self.taken_path['completed'])
# Run the rest of the workflow.
job.complete_all()
after = job.get_dump()
self.assert_(job.is_completed(), 'Job done, but not complete:' + after)
assert_same_path(self,
self.expected_path,
self.taken_path['completed'])
def doPickleSingle(self, workflow):
self.taken_path = {'reached': [], 'completed': []}
for name, task in workflow.spec.task_specs.iteritems():
task.reached_event.connect(on_reached_cb,
self.taken_path['reached'])
task.completed_event.connect(on_complete_cb,
self.taken_path['completed'])
# Execute a random number of steps.
for i in xrange(randint(0, len(workflow.spec.task_specs))):
workflow.complete_next()
# Store the workflow instance in a file.
output = open(self.data_file, 'wb')
pickle.dump(workflow, output, -1)
output.close()
before = workflow.get_dump()
# Load the workflow instance from a file and delete the file.
input = open(self.data_file, 'rb')
workflow = pickle.load(input)
input.close()
os.remove(self.data_file)
after = workflow.get_dump()
# Make sure that the state of the workflow did not change.
self.assert_(before == after, 'Before:\n' + before + '\n' \
+ 'After:\n' + after + '\n')
# Re-connect signals, because the pickle dump now only contains a
# copy of self.taken_path.
for name, task in workflow.spec.task_specs.iteritems():
task.reached_event.disconnect(on_reached_cb)
task.completed_event.disconnect(on_complete_cb)
task.reached_event.connect(on_reached_cb,
self.taken_path['reached'])
task.completed_event.connect(on_complete_cb,
self.taken_path['completed'])
# Run the rest of the workflow.
workflow.complete_all()
after = workflow.get_dump()
self.assert_(workflow.is_completed(), 'Workflow not complete:' + after)
assert_same_path(self, self.expected_path,
self.taken_path['completed'])
