External-Mirrors/awx
2
0
Fork 0
mirror of https://github.com/ansible/awx.git synced 2026-05-07 01:17:37 -02:30
Code Issues Packages Projects Releases Wiki Activity

move code linting to a stricter pep8-esque auto-formatting tool, black

Browse Source
This commit is contained in:
Ryan Petrello
2021-03-19 12:44:51 -04:00
parent 9b702e46fe
commit c2ef0a6500
671 changed files with 20538 additions and 21924 deletions
Download Patch File Download Diff File Expand all files Collapse all files

50
awx/main/scheduler/dag_workflow.py
View File

@@ -1,4 +1,3 @@
from django.utils.translation import ugettext_lazy as _
from django.utils.encoding import smart_text
@@ -21,18 +20,14 @@ class WorkflowDAG(SimpleDAG):
def _init_graph(self, workflow_job_or_jt):
if hasattr(workflow_job_or_jt, 'workflow_job_template_nodes'):
vals = ['from_workflowjobtemplatenode_id', 'to_workflowjobtemplatenode_id']
filters = {
'from_workflowjobtemplatenode__workflow_job_template_id': workflow_job_or_jt.id
}
filters = {'from_workflowjobtemplatenode__workflow_job_template_id': workflow_job_or_jt.id}
workflow_nodes = workflow_job_or_jt.workflow_job_template_nodes
success_nodes = WorkflowJobTemplateNode.success_nodes.through.objects.filter(**filters).values_list(*vals)
failure_nodes = WorkflowJobTemplateNode.failure_nodes.through.objects.filter(**filters).values_list(*vals)
always_nodes = WorkflowJobTemplateNode.always_nodes.through.objects.filter(**filters).values_list(*vals)
elif hasattr(workflow_job_or_jt, 'workflow_job_nodes'):
vals = ['from_workflowjobnode_id', 'to_workflowjobnode_id']
filters = {
'from_workflowjobnode__workflow_job_id': workflow_job_or_jt.id
}
filters = {'from_workflowjobnode__workflow_job_id': workflow_job_or_jt.id}
workflow_nodes = workflow_job_or_jt.workflow_job_nodes
success_nodes = WorkflowJobNode.success_nodes.through.objects.filter(**filters).values_list(*vals)
failure_nodes = WorkflowJobNode.failure_nodes.through.objects.filter(**filters).values_list(*vals)
@@ -76,15 +71,16 @@ class WorkflowDAG(SimpleDAG):
obj = node['node_object']
parent_nodes = [p['node_object'] for p in self.get_parents(obj)]
for p in parent_nodes:
#node has a status
# node has a status
if p.job and p.job.status in ["successful", "failed"]:
if p.job and p.job.status == "successful":
status = "success_nodes"
elif p.job and p.job.status == "failed":
status = "failure_nodes"
#check that the nodes status matches either a pathway of the same status or is an always path.
if (p not in [node['node_object'] for node in self.get_parents(obj, status)] and
p not in [node['node_object'] for node in self.get_parents(obj, "always_nodes")]):
# check that the nodes status matches either a pathway of the same status or is an always path.
if p not in [node['node_object'] for node in self.get_parents(obj, status)] and p not in [
node['node_object'] for node in self.get_parents(obj, "always_nodes")
]:
return False
return True
@@ -101,14 +97,11 @@ class WorkflowDAG(SimpleDAG):
continue
elif obj.job:
if obj.job.status in ['failed', 'error', 'canceled']:
nodes.extend(self.get_children(obj, 'failure_nodes') +
self.get_children(obj, 'always_nodes'))
nodes.extend(self.get_children(obj, 'failure_nodes') + self.get_children(obj, 'always_nodes'))
elif obj.job.status == 'successful':
nodes.extend(self.get_children(obj, 'success_nodes') +
self.get_children(obj, 'always_nodes'))
nodes.extend(self.get_children(obj, 'success_nodes') + self.get_children(obj, 'always_nodes'))
elif obj.unified_job_template is None:
nodes.extend(self.get_children(obj, 'failure_nodes') +
self.get_children(obj, 'always_nodes'))
nodes.extend(self.get_children(obj, 'failure_nodes') + self.get_children(obj, 'always_nodes'))
else:
# This catches root nodes or ANY convergence nodes
if not obj.all_parents_must_converge and self._are_relevant_parents_finished(n):
@@ -157,8 +150,7 @@ class WorkflowDAG(SimpleDAG):
for node in failed_nodes:
obj = node['node_object']
if (len(self.get_children(obj, 'failure_nodes')) +
len(self.get_children(obj, 'always_nodes'))) == 0:
if (len(self.get_children(obj, 'failure_nodes')) + len(self.get_children(obj, 'always_nodes'))) == 0:
if obj.unified_job_template is None:
res = True
failed_unified_job_template_node_ids.append(str(obj.id))
@@ -167,8 +159,10 @@ class WorkflowDAG(SimpleDAG):
failed_path_nodes_id_status.append((str(obj.id), obj.job.status))
if res is True:
s = _("No error handling path for workflow job node(s) [{node_status}]. Workflow job "
"node(s) missing unified job template and error handling path [{no_ufjt}].")
s = _(
"No error handling path for workflow job node(s) [{node_status}]. Workflow job "
"node(s) missing unified job template and error handling path [{no_ufjt}]."
)
parms = {
'node_status': '',
'no_ufjt': '',
@@ -190,13 +184,13 @@ class WorkflowDAG(SimpleDAG):
Return a boolean
'''
def _are_all_nodes_dnr_decided(self, workflow_nodes):
for n in workflow_nodes:
if n.do_not_run is False and not n.job and n.unified_job_template:
return False
return True
r'''
Determine if a node (1) is ready to be marked do_not_run and (2) should
be marked do_not_run.
@@ -206,30 +200,27 @@ class WorkflowDAG(SimpleDAG):
Return a boolean
'''
def _should_mark_node_dnr(self, node, parent_nodes):
for p in parent_nodes:
if p.do_not_run is True:
pass
elif p.job:
if p.job.status == 'successful':
if node in (self.get_children(p, 'success_nodes') +
self.get_children(p, 'always_nodes')):
if node in (self.get_children(p, 'success_nodes') + self.get_children(p, 'always_nodes')):
return False
elif p.job.status in ['failed', 'error', 'canceled']:
if node in (self.get_children(p, 'failure_nodes') +
self.get_children(p, 'always_nodes')):
if node in (self.get_children(p, 'failure_nodes') + self.get_children(p, 'always_nodes')):
return False
else:
return False
elif not p.do_not_run and p.unified_job_template is None:
if node in (self.get_children(p, 'failure_nodes') +
self.get_children(p, 'always_nodes')):
if node in (self.get_children(p, 'failure_nodes') + self.get_children(p, 'always_nodes')):
return False
else:
return False
return True
r'''
determine if the current node is a convergence node by checking if all the
parents are finished then checking to see if all parents meet the needed
@@ -238,6 +229,7 @@ class WorkflowDAG(SimpleDAG):
Return a list object
'''
def mark_dnr_nodes(self):
root_nodes = self.get_root_nodes()
nodes_marked_do_not_run = []