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synced 2026-01-14 03:10:42 -03:30
do not mark ujt None nodes dnr
* Leave workflow nodes with no related unified job template nodes do_not_run = False. If we mark it True, we can't differentiate between the actual want to not take that path vs. do not run this because I do not have a valid related unified job template.
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@ -1,4 +1,7 @@
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from django.utils.translation import ugettext_lazy as _
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from django.utils.encoding import smart_text
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# Python
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from awx.main.models import (
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WorkflowJobTemplateNode,
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@ -50,61 +53,37 @@ class WorkflowDAG(SimpleDAG):
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for edge in always_nodes:
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self.add_edge(wfn_by_id[edge[0]], wfn_by_id[edge[1]], 'always_nodes')
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r'''
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Determine if all, relevant, parents node are finished.
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Relevant parents are parents that are marked do_not_run False.
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:param node: a node entry from SimpleDag.nodes (i.e. a dict with property ['node_object']
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Return a boolean
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'''
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def _are_relevant_parents_finished(self, node):
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obj = node['node_object']
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parent_nodes = [p['node_object'] for p in self.get_dependents(obj)]
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for p in parent_nodes:
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if p.do_not_run is True:
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continue
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# job template relationship deleted, don't run the node and take the failure path
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if p.do_not_run is False and not p.job and p.unified_job_template is None:
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return True
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elif p.unified_job_template is None:
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continue
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# Node might run a job
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if p.do_not_run is False and not p.job:
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elif not p.job:
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return False
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# Node decidedly got a job; check if job is done
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if p.job and p.job.status not in ['successful', 'failed', 'error', 'canceled']:
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elif p.job and p.job.status not in ['successful', 'failed', 'error', 'canceled']:
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return False
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return True
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def bfs_nodes_to_run(self):
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nodes = self.get_root_nodes()
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nodes_found = []
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node_ids_visited = set()
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for index, n in enumerate(nodes):
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obj = n['node_object']
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if obj.id in node_ids_visited:
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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 True:
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continue
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node_ids_visited.add(obj.id)
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if obj.do_not_run is True and obj.unified_job_template:
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elif obj.job:
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continue
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if obj.job:
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if obj.job.status in ['failed', 'error', 'canceled']:
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nodes.extend(self.get_dependencies(obj, 'failure_nodes') +
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self.get_dependencies(obj, 'always_nodes'))
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elif obj.job.status == 'successful':
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nodes.extend(self.get_dependencies(obj, 'success_nodes') +
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self.get_dependencies(obj, 'always_nodes'))
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elif obj.unified_job_template is None:
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nodes.extend(self.get_dependencies(obj, 'failure_nodes') +
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self.get_dependencies(obj, 'always_nodes'))
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else:
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if self._are_relevant_parents_finished(n):
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nodes_found.append(n)
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continue
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if self._are_relevant_parents_finished(node):
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nodes_found.append(node)
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return [n['node_object'] for n in nodes_found]
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def cancel_node_jobs(self):
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@ -123,7 +102,7 @@ class WorkflowDAG(SimpleDAG):
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def is_workflow_done(self):
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for node in self.nodes:
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obj = node['node_object']
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if obj.do_not_run is False and not obj.job:
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if obj.do_not_run is False and not obj.job and obj.unified_job_template:
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return False
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elif obj.job and obj.job.status not in ['successful', 'failed', 'canceled', 'error']:
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return False
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@ -131,20 +110,40 @@ class WorkflowDAG(SimpleDAG):
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def has_workflow_failed(self):
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failed_nodes = []
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res = False
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failed_path_nodes_id_status = []
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failed_unified_job_template_node_ids = []
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for node in self.nodes:
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obj = node['node_object']
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if obj.job and obj.job.status in ['failed', 'canceled', 'error']:
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if obj.do_not_run is False and obj.unified_job_template is None:
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failed_nodes.append(node)
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elif obj.do_not_run is True and obj.unified_job_template is None:
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elif obj.job and obj.job.status in ['failed', 'canceled', 'error']:
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failed_nodes.append(node)
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for node in failed_nodes:
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obj = node['node_object']
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if (len(self.get_dependencies(obj, 'failure_nodes')) +
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len(self.get_dependencies(obj, 'always_nodes'))) == 0:
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if obj.unified_job_template is None:
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return True, "Workflow job node {} related unified job template missing and is without an error handle path".format(obj.id)
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res = True
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failed_unified_job_template_node_ids.append(str(obj.id))
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else:
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return True, "Workflow job node {} has a status of '{}' without an error handler path".format(obj.id, obj.job.status)
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res = True
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failed_path_nodes_id_status.append((str(obj.id), obj.job.status))
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if res is True:
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s = _("No error handle path for workflow job node(s) [{node_status}] workflow job "
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"node(s) missing unified job template and error handle path [{no_ufjt}].")
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parms = {
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'node_status': '',
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'no_ufjt': '',
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}
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if len(failed_path_nodes_id_status) > 0:
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parms['node_status'] = ",".join(["({},{})".format(id, status) for id, status in failed_path_nodes_id_status])
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if len(failed_unified_job_template_node_ids) > 0:
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parms['no_ufjt'] = ",".join(failed_unified_job_template_node_ids)
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return True, smart_text(s.format(**parms))
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return False, None
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r'''
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@ -159,9 +158,7 @@ class WorkflowDAG(SimpleDAG):
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'''
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def _are_all_nodes_dnr_decided(self, workflow_nodes):
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for n in workflow_nodes:
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if n.unified_job_template is None and n.do_not_run is False:
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return False
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if n.do_not_run is False and not n.job:
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if n.do_not_run is False and not n.job and n.unified_job_template:
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return False
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return True
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@ -177,7 +174,9 @@ class WorkflowDAG(SimpleDAG):
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'''
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def _should_mark_node_dnr(self, node, parent_nodes):
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for p in parent_nodes:
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if p.job:
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if p.do_not_run is True:
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pass
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elif p.job:
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if p.job.status == 'successful':
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if node in (self.get_dependencies(p, 'success_nodes') +
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self.get_dependencies(p, 'always_nodes')):
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@ -188,12 +187,10 @@ class WorkflowDAG(SimpleDAG):
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return False
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else:
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return False
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elif p.unified_job_template is None:
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elif p.do_not_run is False and p.unified_job_template is None:
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if node in (self.get_dependencies(p, 'failure_nodes') +
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self.get_dependencies(p, 'always_nodes')):
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return False
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elif p.do_not_run is True:
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pass
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else:
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return False
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return True
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@ -205,13 +202,10 @@ 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:
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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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parent_nodes = [p['node_object'] for p in self.get_dependents(obj)]
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if self._are_all_nodes_dnr_decided(parent_nodes):
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if obj.unified_job_template is None:
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obj.do_not_run = True
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nodes_marked_do_not_run.append(node)
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elif node not in root_nodes and self._should_mark_node_dnr(node, 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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@ -1,6 +1,9 @@
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import pytest
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import uuid
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from django.utils.translation import ugettext_lazy as _
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from django.utils.encoding import smart_text
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from awx.main.scheduler.dag_workflow import WorkflowDAG
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@ -22,7 +25,7 @@ def wf_node_generator(mocker):
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pytest.count = 0
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def fn(**kwargs):
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wfn = WorkflowNode(id=pytest.count, **kwargs)
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wfn = WorkflowNode(id=pytest.count, unified_job_template=object(), **kwargs)
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pytest.count += 1
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return wfn
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return fn
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@ -31,7 +34,7 @@ def wf_node_generator(mocker):
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@pytest.fixture
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def workflow_dag_1(wf_node_generator):
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g = WorkflowDAG()
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nodes = [wf_node_generator(unified_job_template=object()) for i in range(4)]
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nodes = [wf_node_generator() for i in range(4)]
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map(lambda n: g.add_node(n), nodes)
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r'''
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@ -85,8 +88,6 @@ class TestWorkflowDAG():
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class TestDNR():
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def test_mark_dnr_nodes(self, workflow_dag_1):
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(g, nodes) = workflow_dag_1
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for n in nodes:
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n.unified_job_template = object()
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r'''
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S0
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@ -132,8 +133,6 @@ class TestIsWorkflowDone():
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@pytest.fixture
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def workflow_dag_2(self, workflow_dag_1):
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(g, nodes) = workflow_dag_1
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for n in nodes:
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n.unified_job_template = uuid.uuid4()
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r'''
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S0
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/\
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@ -184,7 +183,7 @@ class TestIsWorkflowDone():
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@pytest.fixture
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def workflow_dag_canceled(self, wf_node_generator):
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g = WorkflowDAG()
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nodes = [wf_node_generator(unified_job_template=object()) for i in range(1)]
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nodes = [wf_node_generator() for i in range(1)]
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map(lambda n: g.add_node(n), nodes)
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r'''
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F0
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@ -207,7 +206,9 @@ class TestIsWorkflowDone():
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(g, nodes) = workflow_dag_failed
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assert g.is_workflow_done() is True
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assert g.has_workflow_failed() == (True, "Workflow job node {} has a status of 'failed' without an error handler path".format(nodes[2].id))
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assert g.has_workflow_failed() == \
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(True, smart_text(_("No error handle path for workflow job node(s) [({},{})] workflow job node(s)"
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" missing unified job template and error handle path [].").format(nodes[2].id, nodes[2].job.status)))
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def test_is_workflow_done_no_unified_job_tempalte_end(self, workflow_dag_failed):
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(g, nodes) = workflow_dag_failed
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@ -216,8 +217,8 @@ class TestIsWorkflowDone():
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assert g.is_workflow_done() is True
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assert g.has_workflow_failed() == \
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(True, "Workflow job node {} related unified job template missing"
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" and is without an error handle path".format(nodes[2].id))
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(True, smart_text(_("No error handle path for workflow job node(s) [] workflow job node(s) missing"
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" unified job template and error handle path [{}].").format(nodes[2].id)))
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def test_is_workflow_done_no_unified_job_tempalte_begin(self, workflow_dag_1):
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(g, nodes) = workflow_dag_1
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@ -227,25 +228,29 @@ class TestIsWorkflowDone():
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assert g.is_workflow_done() is True
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assert g.has_workflow_failed() == \
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(True, "Workflow job node {} related unified job template missing"
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" and is without an error handle path".format(nodes[0].id))
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(True, smart_text(_("No error handle path for workflow job node(s) [] workflow job node(s) missing"
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" unified job template and error handle path [{}].").format(nodes[0].id)))
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def test_canceled_should_fail(self, workflow_dag_canceled):
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(g, nodes) = workflow_dag_canceled
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assert g.has_workflow_failed() == (True, "Workflow job node {} has a status of 'canceled' without an error handler path".format(nodes[0].id))
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assert g.has_workflow_failed() == \
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(True, smart_text(_("No error handle path for workflow job node(s) [({},{})] workflow job node(s)"
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" missing unified job template and error handle path [].").format(nodes[0].id, nodes[0].job.status)))
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def test_failure_should_fail(self, workflow_dag_failure):
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(g, nodes) = workflow_dag_failure
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assert g.has_workflow_failed() == (True, "Workflow job node {} has a status of 'failed' without an error handler path".format(nodes[0].id))
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assert g.has_workflow_failed() == \
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(True, smart_text(_("No error handle path for workflow job node(s) [({},{})] workflow job node(s)"
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" missing unified job template and error handle path [].").format(nodes[0].id, nodes[0].job.status)))
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class TestBFSNodesToRun():
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@pytest.fixture
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def workflow_dag_canceled(self, wf_node_generator):
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g = WorkflowDAG()
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nodes = [wf_node_generator(unified_job_template=object()) for i in range(4)]
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nodes = [wf_node_generator() for i in range(4)]
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map(lambda n: g.add_node(n), nodes)
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r'''
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C0
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@ -262,5 +267,6 @@ class TestBFSNodesToRun():
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def test_cancel_still_runs_children(self, workflow_dag_canceled):
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(g, nodes) = workflow_dag_canceled
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g.mark_dnr_nodes()
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assert set([nodes[1], nodes[2]]) == set(g.bfs_nodes_to_run())
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