def test_first_mixed(self):
from flowy import first
from flowy.result import result, error, timeout, placeholder
r = result(1, 1)
t = timeout(2)
e = error('err!', 3)
p = placeholder()
def test_first_mixed(self):
from flowy import first
from flowy.result import result, error, timeout, placeholder
r = result(1, 1)
t = timeout(2)
e = error('err!', 3)
p = placeholder()
def test_first_results(self):
from flowy import first
from flowy.result import result, error, timeout, placeholder
r = result(1, 1)
t = timeout(2)
e = error('err!', 3)
p = placeholder()
self.assertEquals(first([e, p, r, t]).__factory__, r.__factory__)
def test_first_results(self):
from flowy import first
from flowy.result import result, error, timeout, placeholder
r = result(1, 1)
t = timeout(2)
e = error('err!', 3)
p = placeholder()
self.assertEquals(first([e, p, r, t]).__factory__, r.__factory__)
def test_results(self):
from flowy import finish_order
from flowy.result import result, error, timeout, placeholder
r = result(1, 1)
t = timeout(2)
e = error('err!', 3)
p = placeholder()
fo = list(finish_order([e, p, r, t]))
self.assertEquals(fo[0].__factory__, r.__factory__)
self.assertEquals(fo[1].__factory__, t.__factory__)
self.assertEquals(fo[2].__factory__, e.__factory__)
self.assertEquals(fo[3].__factory__, p.__factory__)
def test_results(self):
from flowy import finish_order
from flowy.result import result, error, timeout, placeholder
r = result(1, 1)
t = timeout(2)
e = error('err!', 3)
p = placeholder()
fo = list(finish_order([e, p, r, t]))
self.assertEquals(fo[0].__factory__, r.__factory__)
self.assertEquals(fo[1].__factory__, t.__factory__)
self.assertEquals(fo[2].__factory__, e.__factory__)
self.assertEquals(fo[3].__factory__, p.__factory__)
def test_mixed(self):
from flowy import finish_order
from flowy.result import result, error, timeout, placeholder
r = result(1, 1)
t = timeout(2)
e = error('err!', 3)
p = placeholder()
fo = list(finish_order([1, e, 2, p, 3, r, t]))
self.assertEquals(fo[:3], [1, 2, 3])
self.assertEquals(fo[3].__factory__, r.__factory__)
self.assertEquals(fo[4].__factory__, t.__factory__)
self.assertEquals(fo[5].__factory__, e.__factory__)
self.assertEquals(fo[6].__factory__, p.__factory__)
def test_mixed(self):
from flowy import finish_order
from flowy.result import result, error, timeout, placeholder
r = result(1, 1)
t = timeout(2)
e = error('err!', 3)
p = placeholder()
fo = list(finish_order([1, e, 2, p, 3, r, t]))
self.assertEquals(fo[:3], [1, 2, 3])
self.assertEquals(fo[3].__factory__, r.__factory__)
self.assertEquals(fo[4].__factory__, t.__factory__)
self.assertEquals(fo[5].__factory__, e.__factory__)
self.assertEquals(fo[6].__factory__, p.__factory__)
def __call__(self, *args, **kwargs):
"""Consult the execution history for results or schedule a new task.
This is method gets called from the user workflow code.
When calling it, the task it refers to can be in one of the following
states: RUNNING, READY, FAILED, TIMEDOUT or NOTSCHEDULED.
* If the task is RUNNING this returns a Placeholder. The Placeholder
interrupts the workflow execution if its result is accessed by
raising a SuspendTask exception.
* If the task is READY this returns a Result object. Calling the result
method on this object will just return the final value the task
produced.
* If the task is FAILED this returns an Error object. Calling the
result method on this object will raise a TaskError exception
containing the error message set by the task.
* In case of a TIMEOUT this returns an Timeout object. Calling the
result method on this object will raise TaskTimedout exception, a
subclass of TaskError.
* If the task was NOTSCHEDULED yet:
* If any errors in arguments, propagate the error by returning
another error.
* If any placeholders in arguments, don't do anything because there
are unresolved dependencies.
* Finally, if all the arguments look OK, schedule it for execution.
"""
task_exec_history = self.task_exec_history
call_number = self.call_number
self.call_number += 1
r = placeholder()
for retry_number, delay in enumerate(self.retry):
if task_exec_history.is_timeout(call_number, retry_number):
continue
if task_exec_history.is_running(call_number, retry_number):
break # result = Placehloder
if task_exec_history.has_result(call_number, retry_number):
value = task_exec_history.result(call_number, retry_number)
order = task_exec_history.order(call_number, retry_number)
try:
value = self.deserialize_result(value)
except Exception as e:
logger.exception('Error while deserializing the activity result:')
self.task_decision.fail(e)
break # result = Placeholder
r = result(value, order)
break
if task_exec_history.is_error(call_number, retry_number):
err = task_exec_history.error(call_number, retry_number)
order = task_exec_history.order(call_number, retry_number)
r = error(err, order)
break
traversed_args, (err, placeholders) = traverse_data([args, kwargs])
if err:
r = copy_result_proxy(err)
break
if placeholders:
break # result = Placeholder
t_args, t_kwargs = traversed_args
try:
input_data = self.serialize_input(*t_args, **t_kwargs)
except Exception as e:
logger.exception('Error while serializing the task input:')
self.task_decision.fail(e)
break # result = Placeholder
self.task_decision.schedule(call_number, retry_number, delay, input_data)
break # result = Placeholder
else:
# No retries left, it must be a timeout
order = task_exec_history.order(call_number, retry_number)
r = timeout(order)
return r
def __call__(self, *args, **kwargs):
"""Consult the execution history for results or schedule a new task.
This is method gets called from the user workflow code.
When calling it, the task it refers to can be in one of the following
states: RUNNING, READY, FAILED, TIMEDOUT or NOTSCHEDULED.
* If the task is RUNNING this returns a Placeholder. The Placeholder
interrupts the workflow execution if its result is accessed by
raising a SuspendTask exception.
* If the task is READY this returns a Result object. Calling the result
method on this object will just return the final value the task
produced.
* If the task is FAILED this returns an Error object. Calling the
result method on this object will raise a TaskError exception
containing the error message set by the task.
* In case of a TIMEOUT this returns an Timeout object. Calling the
result method on this object will raise TaskTimedout exception, a
subclass of TaskError.
* If the task was NOTSCHEDULED yet:
* If any errors in arguments, propagate the error by returning
another error.
* If any placeholders in arguments, don't do anything because there
are unresolved dependencies.
* Finally, if all the arguments look OK, schedule it for execution.
"""
task_exec_history = self.task_exec_history
call_number = self.call_number
self.call_number += 1
r = placeholder()
for retry_number, delay in enumerate(self.retry):
if task_exec_history.is_timeout(call_number, retry_number):
continue
if task_exec_history.is_running(call_number, retry_number):
break # result = Placehloder
if task_exec_history.has_result(call_number, retry_number):
value = task_exec_history.result(call_number, retry_number)
order = task_exec_history.order(call_number, retry_number)
try:
value = self.deserialize_result(value)
except Exception as e:
logger.exception(
'Error while deserializing the activity result:')
self.task_decision.fail(e)
break # result = Placeholder
r = result(value, order)
break
if task_exec_history.is_error(call_number, retry_number):
err = task_exec_history.error(call_number, retry_number)
order = task_exec_history.order(call_number, retry_number)
r = error(err, order)
break
traversed_args, (err, placeholders) = traverse_data([args, kwargs])
if err:
r = copy_result_proxy(err)
break
if placeholders:
break # result = Placeholder
t_args, t_kwargs = traversed_args
try:
input_data = self.serialize_input(*t_args, **t_kwargs)
except Exception as e:
logger.exception('Error while serializing the task input:')
self.task_decision.fail(e)
break # result = Placeholder
self.task_decision.schedule(call_number, retry_number, delay,
input_data)
break # result = Placeholder
else:
# No retries left, it must be a timeout
order = task_exec_history.order(call_number, retry_number)
r = timeout(order)
return r
