def workload_create(self, task_uuid, subtask_uuid, name, description,
position, runner, runner_type, hooks, contexts, sla,
args):
workload = models.Workload(task_uuid=task_uuid,
subtask_uuid=subtask_uuid,
name=name,
description=description,
position=position,
runner=runner,
runner_type=runner_type,
hooks=hooks,
contexts=contexts or {},
sla=sla,
args=args)
workload.save()
return workload
def workload_create(self, task_uuid, subtask_uuid, key):
workload = models.Workload(task_uuid=task_uuid,
subtask_uuid=subtask_uuid)
workload.update({
"name": key["name"],
"position": key["pos"],
"runner": key["kw"]["runner"],
"runner_type": key["kw"]["runner"]["type"],
"context": key["kw"].get("context", {}),
"sla": key["kw"].get("sla", {}),
"args": key["kw"].get("args", {}),
"context_execution": {},
"statistics": {},
})
workload.save()
return workload
def workload_create(self, task_uuid, subtask_uuid, name, description,
position, runner, runner_type, hooks, context, sla,
args, context_execution, statistics):
workload = models.Workload(task_uuid=task_uuid,
subtask_uuid=subtask_uuid,
name=name,
description=description,
position=position,
runner=runner,
runner_type=runner_type,
hooks=hooks,
context=context,
sla=sla,
args=args,
context_execution=context_execution,
statistics=statistics)
workload.save()
return workload
def task_result_create(self, task_uuid, key, data):
raw_data = data.get("raw", [])
iter_count = len(raw_data)
failed_iter_count = 0
max_duration = 0
min_duration = 0
success = True
for d in raw_data:
if d.get("error"):
failed_iter_count += 1
duration = d.get("duration", 0)
if duration > max_duration:
max_duration = duration
if min_duration and min_duration > duration:
min_duration = duration
sla = data.get("sla", [])
# TODO(ikhudoshyn): if no SLA was specified and there are
# failed iterations is it success?
# NOTE(ikhudoshyn): we call it 'pass_sla'
# for the sake of consistency with other models
# so if no SLAs were specified, then we assume pass_sla == True
success = all([s.get("success") for s in sla])
now = timeutils.utcnow()
delta = dt.timedelta(seconds=data.get("full_duration", 0))
start = now - delta
subtask = models.Subtask()
subtask.update({"task_uuid": task_uuid})
subtask.save()
workload = models.Workload()
workload.update({
"task_uuid": task_uuid,
"subtask_uuid": subtask.uuid,
"name": key["name"],
"position": key["pos"],
"runner": key["kw"]["runner"],
"runner_type": key["kw"]["runner"]["type"],
"context": key["kw"].get("context", {}),
"hooks": data.get("hooks", []),
"sla": key["kw"].get("sla", {}),
"args": key["kw"].get("args", {}),
"sla_results": {"sla": sla},
"context_execution": {},
"load_duration": data.get("load_duration", 0),
"full_duration": data.get("full_duration", 0),
"min_duration": min_duration,
"max_duration": max_duration,
"total_iteration_count": iter_count,
"failed_iteration_count": failed_iter_count,
# TODO(ikhudoshyn)
"start_time": start,
"statistics": {},
"pass_sla": success
})
workload.save()
workload_data = models.WorkloadData()
workload_data.update({
"task_uuid": task_uuid,
"workload_uuid": workload.uuid,
"chunk_order": 0,
"iteration_count": iter_count,
"failed_iteration_count": failed_iter_count,
"chunk_data": {"raw": raw_data},
# TODO(ikhudoshyn)
"chunk_size": 0,
"compressed_chunk_size": 0,
"started_at": start,
"finished_at": now
})
# TODO(ikhudoshyn): create workload and workload data in
# one transaction
workload_data.save()
# TODO(ikhudoshyn): if pass_sla is False,
# then update task's and subtask's pass_sla
# TODO(ikhudoshyn): update task.task_duration
# and subtask.duration
return self._make_old_task_result(workload, workload_data)