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fixed issue where successful convergence wasn't being met due to the not quite correct leveraging of get_children
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@ -78,8 +78,6 @@ class WorkflowDAG(SimpleDAG):
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if obj.id in node_ids_visited:
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continue
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node_ids_visited.add(obj.id)
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# import sdb
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# sdb.set_trace()
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if obj.do_not_run is True:
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continue
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elif obj.job:
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@ -213,21 +211,32 @@ class WorkflowDAG(SimpleDAG):
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for node in self.sort_nodes_topological():
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obj = node['node_object']
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if obj.do_not_run is False and not obj.job and node not in root_nodes:
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if obj.do_not_run is False and not obj.job and node not in root_nodes and not obj.all_parents_must_converge:
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parent_nodes = [p['node_object'] for p in self.get_parents(obj)]
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if self._are_all_nodes_dnr_decided(parent_nodes):
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if self._should_mark_node_dnr(node, parent_nodes):
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obj.do_not_run = True
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nodes_marked_do_not_run.append(node)
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if not obj.do_not_run and obj.all_parents_must_converge:
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if obj.do_not_run is False and obj.all_parents_must_converge:
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if self._are_relevant_parents_finished(node):
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# if the current node is a convergence node and all the
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# parents are finished then check to see if all parents
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# met the needed criteria to run the convergence child
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# (i.e. parent must fail, parent must succeed)
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parent_nodes = [p['node_object'] for p in self.get_parents(obj)]
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if any(p.do_not_run for p in parent_nodes) or not all(obj in self.get_children(p, p.job.status)for p in parent_nodes):
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if any(p.do_not_run for p in parent_nodes):
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obj.do_not_run = True
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nodes_marked_do_not_run.append(node)
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else:
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for p in parent_nodes:
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if p.job.status == "successful":
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child_nodes = (c['node_object'] for c in self.get_children(p, "success_nodes"))
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elif p.job.status == "failure":
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child_nodes = (c['node_object'] for c in self.get_children(p, "failure_nodes"))
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else:
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child_nodes = (c['node_object'] for c in self.get_children(p, "always_nodes"))
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if not any(obj == x for x in child_nodes):
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obj.do_not_run = True
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nodes_marked_do_not_run.append(node)
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return [n['node_object'] for n in nodes_marked_do_not_run]
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