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Avoid unbounded kwargs by fetching subtasks inside handle_work_error
Update tests to new handle_work_error call pattern Handle blame correctly with multiple serial deps add new test case corresponding to this scenario
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@@ -52,6 +52,7 @@ from awx.main.constants import ACTIVE_STATES
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from awx.main.dispatch.publish import task
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from awx.main.dispatch import get_local_queuename, reaper
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from awx.main.utils.common import (
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get_type_for_model,
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ignore_inventory_computed_fields,
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ignore_inventory_group_removal,
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ScheduleWorkflowManager,
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@@ -720,45 +721,43 @@ def handle_work_success(task_actual):
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@task(queue=get_local_queuename)
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def handle_work_error(task_id, *args, **kwargs):
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subtasks = kwargs.get('subtasks', None)
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logger.debug('Executing error task id %s, subtasks: %s' % (task_id, str(subtasks)))
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first_instance = None
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first_instance_type = ''
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if subtasks is not None:
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for each_task in subtasks:
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try:
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instance = UnifiedJob.get_instance_by_type(each_task['type'], each_task['id'])
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if not instance:
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# Unknown task type
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logger.warning("Unknown task type: {}".format(each_task['type']))
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continue
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except ObjectDoesNotExist:
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logger.warning('Missing {} `{}` in error callback.'.format(each_task['type'], each_task['id']))
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continue
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def handle_work_error(task_actual):
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try:
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instance = UnifiedJob.get_instance_by_type(task_actual['type'], task_actual['id'])
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except ObjectDoesNotExist:
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logger.warning('Missing {} `{}` in error callback.'.format(task_actual['type'], task_actual['id']))
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return
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if not instance:
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return
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if first_instance is None:
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first_instance = instance
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first_instance_type = each_task['type']
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subtasks = instance.get_jobs_fail_chain() # reverse of dependent_jobs mostly
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logger.debug(f'Executing error task id {task_actual["id"]}, subtasks: {[subtask.id for subtask in subtasks]}')
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if instance.celery_task_id != task_id and not instance.cancel_flag and not instance.status in ('successful', 'failed'):
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instance.status = 'failed'
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instance.failed = True
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if not instance.job_explanation:
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instance.job_explanation = 'Previous Task Failed: {"job_type": "%s", "job_name": "%s", "job_id": "%s"}' % (
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first_instance_type,
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first_instance.name,
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first_instance.id,
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)
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instance.save()
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instance.websocket_emit_status("failed")
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deps_of_deps = {}
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for subtask in subtasks:
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if subtask.celery_task_id != instance.celery_task_id and not subtask.cancel_flag and not subtask.status in ('successful', 'failed'):
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# If there are multiple in the dependency chain, A->B->C, and this was called for A, blame B for clarity
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blame_job = deps_of_deps.get(subtask.id, instance)
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subtask.status = 'failed'
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subtask.failed = True
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if not subtask.job_explanation:
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subtask.job_explanation = 'Previous Task Failed: {"job_type": "%s", "job_name": "%s", "job_id": "%s"}' % (
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get_type_for_model(type(blame_job)),
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blame_job.name,
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blame_job.id,
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)
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subtask.save()
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subtask.websocket_emit_status("failed")
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for sub_subtask in subtask.get_jobs_fail_chain():
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deps_of_deps[sub_subtask.id] = subtask
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# We only send 1 job complete message since all the job completion message
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# handling does is trigger the scheduler. If we extend the functionality of
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# what the job complete message handler does then we may want to send a
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# completion event for each job here.
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if first_instance:
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schedule_manager_success_or_error(first_instance)
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schedule_manager_success_or_error(instance)
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@task(queue=get_local_queuename)
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