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):
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 runWorkflow(self, wf_spec, xml_filename):
taken_path = []
for name in wf_spec.task_specs:
wf_spec.task_specs[name].reached_event.connect(on_reached_cb, taken_path)
wf_spec.task_specs[name].completed_event.connect(on_complete_cb, taken_path)
# Execute all tasks within the Workflow
workflow = Workflow(wf_spec)
self.assert_(not workflow.is_completed(), "Workflow is complete before start")
try:
workflow.complete_all(False)
except:
workflow.task_tree.dump()
raise
# workflow.task_tree.dump()
self.assert_(
workflow.is_completed(),
"complete_all() returned, but workflow is not complete\n" + workflow.task_tree.get_dump(),
)
# Make sure that there are no waiting tasks left in the tree.
for thetask in Task.Iterator(workflow.task_tree, Task.READY):
workflow.task_tree.dump()
raise Exception("Task with state READY: %s" % thetask.name)
# Check whether the correct route was taken.
filename = xml_filename + ".path"
if os.path.exists(filename):
file = open(filename, "r")
expected = file.read()
file.close()
taken_path = "\n".join(taken_path) + "\n"
error = "%s:\n" % name
error += "Expected:\n"
error += "%s\n" % expected
error += "but got:\n"
error += "%s\n" % taken_path
self.assert_(taken_path == expected, error)
# Check attribute availibility.
filename = xml_filename + ".data"
if os.path.exists(filename):
file = open(filename, "r")
expected = file.read()
file.close()
result = workflow.get_attribute("data", "")
error = "%s:\n" % name
error += "Expected:\n"
error += "%s\n" % expected
error += "but got:\n"
error += "%s\n" % result
self.assert_(result == expected, error)
def runWorkflow(self, wf_spec, xml_filename):
taken_path = []
for name in wf_spec.task_specs:
wf_spec.task_specs[name].reached_event.connect(on_reached_cb, taken_path)
wf_spec.task_specs[name].completed_event.connect(on_complete_cb, taken_path)
# Execute all tasks within the Workflow
workflow = Workflow(wf_spec)
self.assert_(not workflow.is_completed(), 'Workflow is complete before start')
try:
workflow.complete_all(False)
except:
workflow.task_tree.dump()
raise
#workflow.task_tree.dump()
self.assert_(workflow.is_completed(),
'complete_all() returned, but workflow is not complete\n'
+ workflow.task_tree.get_dump())
# Make sure that there are no waiting tasks left in the tree.
for thetask in Task.Iterator(workflow.task_tree, Task.READY):
workflow.task_tree.dump()
raise Exception('Task with state READY: %s' % thetask.name)
# Check whether the correct route was taken.
filename = xml_filename + '.path'
if os.path.exists(filename):
file = open(filename, 'r')
expected = file.read()
file.close()
taken_path = '\n'.join(taken_path) + '\n'
error = '%s:\n' % name
error += 'Expected:\n'
error += '%s\n' % expected
error += 'but got:\n'
error += '%s\n' % taken_path
self.assert_(taken_path == expected, error)
# Check attribute availibility.
filename = xml_filename + '.data'
if os.path.exists(filename):
file = open(filename, 'r')
expected = file.read()
file.close()
result = workflow.get_attribute('data', '')
error = '%s:\n' % name
error += 'Expected:\n'
error += '%s\n' % expected
error += 'but got:\n'
error += '%s\n' % result
self.assert_(result == expected, error)
def run_workflow(test, wf_spec, expected_path, expected_data, max_tries=1):
# Execute all tasks within the Workflow.
taken_path = track_workflow(wf_spec)
workflow = Workflow(wf_spec)
test.assert_(not workflow.is_completed(),
'Workflow is complete before start')
try:
# We allow the workflow to require a maximum of 5 seconds to
# complete, to allow for testing long running tasks.
for i in range(10):
workflow.complete_all(False)
if workflow.is_completed():
break
time.sleep(0.5)
except:
workflow.task_tree.dump()
raise
#workflow.task_tree.dump()
complete = False
while max_tries > 0 and complete is False:
max_tries -= 1
complete = workflow.is_completed()
test.assert_(
complete, 'complete_all() returned, but workflow is not complete\n' +
workflow.task_tree.get_dump())
# Make sure that there are no waiting tasks left in the tree.
for thetask in Task.Iterator(workflow.task_tree, Task.READY):
workflow.task_tree.dump()
raise Exception('Task with state READY: %s' % thetask.name)
# Check whether the correct route was taken.
if expected_path is not None:
taken_path = '\n'.join(taken_path) + '\n'
error = 'Expected:\n'
error += '%s\n' % expected_path
error += 'but got:\n'
error += '%s\n' % taken_path
test.assert_(taken_path == expected_path, error)
# Check attribute availibility.
if expected_data is not None:
result = workflow.get_attribute('data', '')
error = 'Expected:\n'
error += '%s\n' % expected_data
error += 'but got:\n'
error += '%s\n' % result
test.assert_(result == expected_data, error)
return workflow
def run_workflow(test, wf_spec, expected_path, expected_data, workflow=None):
# Execute all tasks within the Workflow.
if workflow is None:
taken_path = track_workflow(wf_spec)
workflow = Workflow(wf_spec)
else:
taken_path = track_workflow(workflow.spec)
test.assert_(not workflow.is_completed(), 'Workflow is complete before start')
try:
# We allow the workflow to require a maximum of 5 seconds to
# complete, to allow for testing long running tasks.
for i in range(10):
workflow.complete_all(False)
if workflow.is_completed():
break
time.sleep(0.5)
except:
workflow.task_tree.dump()
raise
#workflow.task_tree.dump()
test.assert_(workflow.is_completed(),
'complete_all() returned, but workflow is not complete\n'
+ workflow.task_tree.get_dump())
# Make sure that there are no waiting tasks left in the tree.
for thetask in Task.Iterator(workflow.task_tree, Task.READY):
workflow.task_tree.dump()
raise Exception('Task with state READY: %s' % thetask.name)
# Check whether the correct route was taken.
if expected_path is not None:
taken_path = '\n'.join(taken_path) + '\n'
error = 'Expected:\n'
error += '%s\n' % expected_path
error += 'but got:\n'
error += '%s\n' % taken_path
test.assert_(taken_path == expected_path, error)
# Check data availibility.
if expected_data is not None:
result = workflow.get_data('data', '')
error = 'Expected:\n'
error += '%s\n' % expected_data
error += 'but got:\n'
error += '%s\n' % result
test.assert_(result == expected_data, error)
return workflow
def run_workflow(test, wf_spec, expected_path, expected_data, workflow=None):
# Execute all tasks within the Workflow.
if workflow is None:
taken_path = track_workflow(wf_spec)
workflow = Workflow(wf_spec)
else:
taken_path = track_workflow(workflow.spec)
test.assertFalse(workflow.is_completed())
try:
# We allow the workflow to require a maximum of 5 seconds to
# complete, to allow for testing long running tasks.
for i in range(10):
workflow.complete_all(False)
if workflow.is_completed():
break
time.sleep(0.5)
except:
workflow.task_tree.dump()
raise
# workflow.task_tree.dump()
test.assertTrue(workflow.is_completed(), workflow.task_tree.get_dump())
# Make sure that there are no waiting tasks left in the tree.
for thetask in Task.Iterator(workflow.task_tree, Task.READY):
workflow.task_tree.dump()
raise Exception('Task with state READY: %s' % thetask.name)
# Check whether the correct route was taken.
if expected_path is not None:
taken_path = '\n'.join(taken_path) + '\n'
test.assertEqual(taken_path, expected_path)
# Check data availibility.
if expected_data is not None:
result = workflow.get_data('data', '')
test.assertIn(result, expected_data)
return workflow
def _runWorkflow(self, wf_spec):
taken_path = {'reached': [],
'completed': []}
for name, task in wf_spec.task_specs.iteritems():
task.reached_event.connect(on_reached_cb, taken_path['reached'])
task.completed_event.connect(on_complete_cb, taken_path['completed'])
# Execute all tasks within the Workflow.
workflow = Workflow(wf_spec)
self.assert_(not workflow.is_completed(), 'Workflow complete before start')
try:
workflow.complete_all()
except:
workflow.dump()
raise
self.assert_(workflow.is_completed(),
'complete_all() returned, but workflow is not complete\n'
+ workflow.task_tree.get_dump())
#workflow.task_tree.dump()
assert_same_path(self, self.expected_path, taken_path['completed'])
def _runWorkflow(self, wf_spec):
taken_path = {'reached': [], 'completed': []}
for name, task in wf_spec.task_specs.iteritems():
task.reached_event.connect(on_reached_cb, taken_path['reached'])
task.completed_event.connect(on_complete_cb,
taken_path['completed'])
# Execute all tasks within the Workflow.
workflow = Workflow(wf_spec)
self.assert_(not workflow.is_completed(),
'Workflow complete before start')
try:
workflow.complete_all()
except:
workflow.dump()
raise
self.assert_(
workflow.is_completed(),
'complete_all() returned, but workflow is not complete\n' +
workflow.task_tree.get_dump())
#workflow.task_tree.dump()
assert_same_path(self, self.expected_path, taken_path['completed'])
import time
with open('ansible-workflow-spec.json') as fp:
workflow_json = fp.read()
serializer = AnsibleSerializer()
spec = WorkflowSpec.deserialize(serializer, workflow_json)
# Create the workflow.
workflow = Workflow(spec)
# Execute until all tasks are done or require manual intervention.
# For the sake of this tutorial, we ignore the "manual" flag on the
# tasks. In practice, you probably don't want to do that.
for i in range(20):
print(i)
workflow.complete_all(False)
if workflow.is_completed():
break
time.sleep(0.5)
#workflow.complete_all(halt_on_manual=False)
#workflow.complete_next()
#tasks = workflow.get_tasks(Task.WAITING)
#for t in tasks:
# print(t.get_name())
# t.complete()
#time.sleep(10)
# 类似get_dump（返回当前内部任务树的完整转储以进行调试），但是将输出打印到终端，而不是返回输出
workflow.dump()
# get_tasks_from_spec_name：返回其规范具有给定名称的所有任务。
import json
from SpiffWorkflow import Workflow
from SpiffWorkflow.specs import WorkflowSpec
from serializer import NuclearSerializer
# Load from JSON
with open('nuclear') as fp:
workflow_json = fp.read()
serializer = NuclearSerializer()
spec = WorkflowSpec.deserialize(serializer, workflow_json)
# Create the workflow.
workflow = Workflow(spec)
workflow.complete_all()
from SpiffWorkflow import Workflow from architecture.scheduler.spiff_wf_demo import NuclearStrikeWorkflowSpec spec = NuclearStrikeWorkflowSpec() wf = Workflow(spec) wf.complete_all()
def test_Merge_data_merging(self):
"""Test that Merge task actually merges data"""
wf_spec = WorkflowSpec()
first = Simple(wf_spec, 'first')
second = Simple(wf_spec, 'second')
third = Simple(wf_spec, 'third')
bump = Simple(wf_spec, 'bump')
fourth = Simple(wf_spec, 'fourth')
merge1 = Merge(wf_spec, 'merge 1')
simple1 = Simple(wf_spec, 'simple 1')
merge2 = Merge(wf_spec, 'merge 2')
simple2 = Simple(wf_spec, 'simple 2')
unmerged = Simple(wf_spec, 'unmerged')
wf_spec.start.connect(first)
wf_spec.start.connect(second)
wf_spec.start.connect(third)
wf_spec.start.connect(bump)
bump.connect(fourth) # Test join at different depths in tree
first.connect(merge1)
second.connect(merge1)
second.connect(unmerged)
first.connect(merge2)
second.connect(merge2)
third.connect(merge2)
fourth.connect(merge2)
merge1.connect(simple1)
merge2.connect(simple2)
workflow = Workflow(wf_spec)
workflow.task_tree.set_attribute(everywhere=1)
for task in workflow.get_tasks():
task.set_attribute(**{'name': task.get_name(), task.get_name(): 1})
workflow.complete_all()
self.assertTrue(workflow.is_completed())
found = {}
for task in workflow.get_tasks():
if task.task_spec is simple1:
self.assertIn('first', task.attributes)
self.assertIn('second', task.attributes)
self.assertDictEqual(task.attributes, {'Start': 1,
'merge 1': 1, 'name': 'Start', 'simple 1': 1,
'second': 1, 'first': 1})
found['simple1'] = task
if task.task_spec is simple2:
self.assertIn('first', task.attributes)
self.assertIn('second', task.attributes)
self.assertIn('third', task.attributes)
self.assertIn('fourth', task.attributes)
self.assertDictEqual(task.attributes, {'merge 2': 1,
'simple 2': 1, 'name': 'Start', 'third': 1, 'bump': 1,
'Start': 1, 'second': 1, 'first': 1, 'fourth': 1})
found['simple2'] = task
if task.task_spec is unmerged:
self.assertDictEqual(task.attributes, {'Start': 1,
'second': 1, 'name': 'Start', 'unmerged': 1})
found['unmerged'] = task
self.assertIn('simple1', found)
self.assertIn('simple2', found)
self.assertIn('unmerged', found)
strike.completed_event.connect(my_nuclear_strike)
# As soon as all tasks are either "completed" or "aborted", the
# workflow implicitely ends.
from SpiffWorkflow import Workflow
from SpiffWorkflow.specs import WorkflowSpec
from SpiffWorkflow.serializer.json import JSONSerializer
# Load from JSON
with open('nuclear.json') as fp:
workflow_json = fp.read()
serializer = JSONSerializer()
spec = WorkflowSpec.deserialize(serializer, workflow_json)
# Alternatively, create an instance of the Python based specification.
#from nuclear import NuclearStrikeWorkflowSpec
#spec = NuclearStrikeWorkflowSpec()
# Create the workflow.
workflow = Workflow(spec)
# Execute until all tasks are done or require manual intervention.
# For the sake of this tutorial, we ignore the "manual" flag on the
# tasks. In practice, you probably don't want to do that.
workflow.complete_all(halt_on_manual=False)
# Alternatively, this is what a UI would do for a manual task.
#workflow.complete_task_from_id(...)
import json
from SpiffWorkflow import Workflow
from SpiffWorkflow.specs import WorkflowSpec
from SpiffWorkflow.serializer.json import JSONSerializer
# Load from JSON
with open('nuclear.json') as fp:
workflow_json = fp.read()
serializer = JSONSerializer()
spec = WorkflowSpec.deserialize(serializer, workflow_json)
# Alternatively, create an instance of the Python based specification.
#from nuclear import NuclearStrikeWorkflowSpec
#spec = NuclearStrikeWorkflowSpec()
# Create the workflow.
workflow = Workflow(spec)
# Execute until all tasks are done or require manual intervention.
# For the sake of this tutorial, we ignore the "manual" flag on the
# tasks. In practice, you probably don't want to do that.
workflow.complete_all(halt_on_manual=False)
# Alternatively, this is what a UI would do for a manual task.
#workflow.complete_task_from_id(...)