def _import_job(self, info, cluster, id, updated, callback):
"""
import an individual Job, this is the actual work function. Jobs that
have a complete state (success or error) are updated. All other jobs
are ignored since job state is never cached.
@param info - info from ganeti
@param cluster - cluster this job is on
@param id - job_id for job
@param updated - counter object
@param callback - callback fired when method is complete.
"""
print 'importing >>> : ', info, cluster, id
info = json.loads(info)
if any((op['OP_ID'] in IMPORTABLE_JOBS for op in info['ops'])):
# get related mode and object
op = info['ops'][0]
model, hostname_key = IMPORTABLE_JOBS[op['OP_ID']]
hostname = op[hostname_key]
base = model.objects.filter(hostname=hostname)
if not isinstance(base, Cluster):
base = base.filter(cluster=cluster)
(obj_id,) = base.values_list('pk', flat=True)
# create job
job = Job(cluster=cluster, job_id=id, obj_type=model, obj_id=obj_id)
job.cleared = info['status'] in COMPLETE_STATUS
job.info = info
job.save()
updated += 1
callback(id)
def _update_job(self, info, cluster, id, updated, callback):
"""
updates an individual Job, this is the actual work function. Jobs that
have a complete state (success or error) are updated. All other jobs
are ignored since job state is never cached.
@param info - info from ganeti
@param cluster - cluster this job is on
@param id - job_id for job
@param updated - counter object
@param callback - callback fired when method is complete.
"""
if info['status'] in COMPLETE_STATUS:
parsed = Job.parse_persistent_info(info)
Job.objects.filter(job_id=id).update(
serialized_info=cPickle.dumps(info), **parsed)
# get related model and query the object. Loading it will trigger
# any logic in check_job_status
op = info['ops'][0]
model, hostname_key = IMPORTABLE_JOBS[op['OP_ID']]
hostname = op[hostname_key]
if not isinstance(model, Cluster):
base = model.objects.filter(cluster=cluster)
else:
base = model.objects.all()
obj = base.get(hostname=hostname)
updated += 1
callback(id)