def _fail_workflow(self, final_context, msg):
if states.is_paused_or_completed(self.wf_ex.state):
return
output_on_error = {}
try:
output_on_error = data_flow.evaluate_workflow_output(
self.wf_ex, self.wf_spec.get_output_on_error(), final_context)
except exc.MistralException as e:
msg = ("Failed to evaluate expression in output-on-error! "
"(output-on-error: '%s', exception: '%s' Cause: '%s'" %
(self.wf_spec.get_output_on_error(), e, msg))
LOG.error(msg)
self.set_state(states.ERROR, state_info=msg)
# When we set an ERROR state we should safely set output value getting
# w/o exceptions due to field size limitations.
length_output_on_error = len(str(output_on_error).encode("utf-8"))
total_output_length = utils.get_number_of_chars_from_kilobytes(
cfg.CONF.engine.execution_field_size_limit_kb)
if length_output_on_error < total_output_length:
msg = utils.cut_by_char(
msg, total_output_length - length_output_on_error)
else:
msg = utils.cut_by_kb(
msg, cfg.CONF.engine.execution_field_size_limit_kb)
self.wf_ex.output = merge_dicts({'result': msg}, output_on_error)
if self.wf_ex.task_execution_id:
self._send_result_to_parent_workflow()
def _fail_workflow(self, final_context, msg):
if states.is_paused_or_completed(self.wf_ex.state):
return
output_on_error = {}
try:
output_on_error = data_flow.evaluate_workflow_output(
self.wf_ex,
self.wf_spec.get_output_on_error(),
final_context
)
except exc.MistralException as e:
msg = (
"Failed to evaluate expression in output-on-error! "
"(output-on-error: '%s', exception: '%s' Cause: '%s'"
% (self.wf_spec.get_output_on_error(), e, msg)
)
LOG.error(msg)
self.set_state(states.ERROR, state_info=msg)
# When we set an ERROR state we should safely set output value getting
# w/o exceptions due to field size limitations.
msg = utils.cut_by_kb(
msg,
cfg.CONF.engine.execution_field_size_limit_kb
)
self.wf_ex.output = merge_dicts({'result': msg}, output_on_error)
if self.wf_ex.task_execution_id:
self._schedule_send_result_to_parent_workflow()
def fail(self, msg):
assert self.action_ex
# When we set an ERROR state we should safely set output value getting
# w/o exceptions due to field size limitations.
msg = utils.cut_by_kb(msg,
cfg.CONF.engine.execution_field_size_limit_kb)
self.action_ex.state = states.ERROR
self.action_ex.output = {'result': msg}
def fail(self, msg):
assert self.action_ex
# When we set an ERROR state we should safely set output value getting
# w/o exceptions due to field size limitations.
msg = utils.cut_by_kb(
msg,
cfg.CONF.engine.execution_field_size_limit_kb
)
self.action_ex.state = states.ERROR
self.action_ex.output = {'result': msg}
def _cancel_workflow(self, msg):
if states.is_completed(self.wf_ex.state):
return
self.set_state(states.CANCELLED, state_info=msg)
# When we set an ERROR state we should safely set output value getting
# w/o exceptions due to field size limitations.
msg = utils.cut_by_kb(msg,
cfg.CONF.engine.execution_field_size_limit_kb)
self.wf_ex.output = {'result': msg}
if self.wf_ex.task_execution_id:
self._send_result_to_parent_workflow()
def _fail_workflow(self, final_context, msg):
if states.is_paused_or_completed(self.wf_ex.state):
return
output_on_error = {}
try:
output_on_error = data_flow.evaluate_workflow_output(
self.wf_ex,
self.wf_spec.get_output_on_error(),
final_context
)
except exc.MistralException as e:
msg = (
"Failed to evaluate expression in output-on-error! "
"(output-on-error: '%s', exception: '%s' Cause: '%s'"
% (self.wf_spec.get_output_on_error(), e, msg)
)
LOG.error(msg)
if not self.set_state(states.ERROR, state_info=msg):
return
# When we set an ERROR state we should safely set output value getting
# w/o exceptions due to field size limitations.
length_output_on_error = len(str(output_on_error).encode("utf-8"))
total_output_length = utils.get_number_of_chars_from_kilobytes(
cfg.CONF.engine.execution_field_size_limit_kb)
if length_output_on_error < total_output_length:
msg = utils.cut_by_char(
msg,
total_output_length - length_output_on_error
)
else:
msg = utils.cut_by_kb(
msg,
cfg.CONF.engine.execution_field_size_limit_kb
)
self.wf_ex.output = merge_dicts({'result': msg}, output_on_error)
# Publish event.
self.notify(events.WORKFLOW_FAILED)
if self.wf_ex.task_execution_id:
self._send_result_to_parent_workflow()
def _cancel_workflow(self, msg):
if states.is_completed(self.wf_ex.state):
return
self.set_state(states.CANCELLED, state_info=msg)
# When we set an ERROR state we should safely set output value getting
# w/o exceptions due to field size limitations.
msg = utils.cut_by_kb(
msg,
cfg.CONF.engine.execution_field_size_limit_kb
)
self.wf_ex.output = {'result': msg}
if self.wf_ex.task_execution_id:
self._schedule_send_result_to_parent_workflow()
def fail_workflow(wf_ex, state_info):
if states.is_paused_or_completed(wf_ex.state):
return wf_ex
set_workflow_state(wf_ex, states.ERROR, state_info)
# When we set an ERROR state we should safely set output value getting
# w/o exceptions due to field size limitations.
state_info = utils.cut_by_kb(state_info,
cfg.CONF.engine.execution_field_size_limit_kb)
wf_ex.output = {'result': state_info}
if wf_ex.task_execution_id:
_schedule_send_result_to_parent_workflow(wf_ex)
return wf_ex
