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fix workflow finish state detector

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* Take into account the new do_not_run field when finding if a workflow
is finished. If do_not_run is True then the node is considered finished.
This commit is contained in:
chris meyers
2018-10-18 09:09:47 -04:00
committed by mabashian
parent 6ef6b649e8
commit ea29e66a41
1 changed files with 3 additions and 1 deletions
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4
awx/main/scheduler/dag_workflow.py
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@@ -95,8 +95,10 @@ class WorkflowDAG(SimpleDAG):
if obj.unified_job_template is None: if obj.unified_job_template is None:
is_failed = True is_failed = True
continue continue
elif not job: elif obj.do_not_run is False and not job:
return False, False return False, False
elif obj.do_not_run is True:
continue
children_success = self.get_dependencies(obj, 'success_nodes') children_success = self.get_dependencies(obj, 'success_nodes')
children_failed = self.get_dependencies(obj, 'failure_nodes') children_failed = self.get_dependencies(obj, 'failure_nodes')