def receive_event(self, topic, data):
if topic.split('.')[-1] != "testjob":
return
lava_id = data.get('job')
if not lava_id:
return
if 'sub_id' in data.keys():
lava_id = data['sub_id']
lava_status = data.get('state', 'Unknown')
db_test_job_list = self.data.test_jobs.filter(submitted=True,
fetched=False,
job_id=lava_id)
if db_test_job_list.exists() and \
len(db_test_job_list) == 1:
self.log_debug("interesting message received: %r" % data)
else:
return
job = db_test_job_list[0]
job.job_status = lava_status
if lava_status == 'Finished':
lava_health = data.get('health', 'Unknown')
job.job_status = lava_health
if job.name is None:
# fetch job name once
data = self.__get_job_details__(lava_id)
definition = yaml.safe_load(data['definition'])
job.name = definition['job_name'][:255]
job.save()
if job.job_status in self.complete_statuses:
self.log_info("scheduling fetch for job %s" % job.job_id)
fetch.apply_async(args=[job.id])
def receive_event(self, topic, data):
if topic.split('.')[-1] != "testjob":
return
lava_id = data.get('job')
if not lava_id:
return
if 'sub_id' in data.keys():
lava_id = data['sub_id']
lava_status = data['status']
db_test_job_list = self.data.test_jobs.filter(submitted=True,
fetched=False,
job_id=lava_id)
if db_test_job_list.exists() and \
len(db_test_job_list) == 1:
self.log_debug("interesting message received: %r" % data)
else:
return
job = db_test_job_list[0]
job.job_status = lava_status
if job.name is None:
# fetch job name once
data = self.__get_job_details__(lava_id)
if data['is_pipeline'] is False:
return
definition = yaml.load(data['definition'])
if data['multinode_definition']:
definition = yaml.load(data['multinode_definition'])
job.name = definition['job_name'][:255]
job.save()
if lava_status in self.complete_statuses:
self.log_info("scheduling fetch for job %s" % job.job_id)
# introduce 2 min delay to allow LAVA for storing all results
# this workaround should be removed once LAVA issue is fixed
fetch.apply_async(args=[job.id], countdown=120)
def listen(self):
max_id = 0
while True:
time.sleep(random.randint(1, 5))
jobs = self.data.test_jobs.filter(
submitted=True,
fetched=False,
id__gt=max_id,
).order_by('id')
for job in jobs:
fetch.apply_async(args=[job.id])
max_id = job.id
def listen(self):
max_id = 0
while True:
time.sleep(random.randint(1, 5))
jobs = self.data.test_jobs.filter(
submitted=True,
fetched=False,
id__gt=max_id,
).order_by('id')
for job in jobs:
fetch.apply_async(args=[job.id])
max_id = job.id
def handle(self, *args, **options):
backend_name = options.get("BACKEND")
job_id = options.get("JOBID")
group_slug, project_slug = options.get("PROJECT").split('/')
backend = Backend.objects.get(name=backend_name)
group, _ = Group.objects.get_or_create(slug=group_slug)
project, _ = group.projects.get_or_create(slug=project_slug)
build = project.builds.create(version=str(time.time()))
testjob = backend.test_jobs.create(target=project,
job_id=job_id,
target_build=build)
if options.get("background"):
fetch.apply_async(args=(testjob.id, ), task_id=task_id(testjob))
else:
backend.fetch(testjob.id)
def receive_event(self, topic, data):
if topic.split('.')[-1] != "testjob":
return
lava_id = data.get('job')
if not lava_id:
return
if 'sub_id' in data.keys():
lava_id = data['sub_id']
lava_status = data.get('state', 'Unknown')
db_test_job_list = self.data.test_jobs.filter(
submitted=True,
fetched=False,
job_id=lava_id)
if db_test_job_list.exists() and \
len(db_test_job_list) == 1:
self.log_debug("interesting message received: %r" % data)
else:
return
job = db_test_job_list[0]
job.job_status = lava_status
if lava_status == 'Finished':
lava_health = data.get('health', 'Unknown')
job.job_status = lava_health
if job.name is None:
# fetch job name once
data = self.__get_job_details__(lava_id)
definition = yaml.load(data['definition'])
if data['multinode_definition']:
definition = yaml.load(data['multinode_definition'])
job.name = definition['job_name'][:255]
job.save()
if job.job_status in self.complete_statuses:
self.log_info("scheduling fetch for job %s" % job.job_id)
# introduce 2 min delay to allow LAVA for storing all results
# this workaround should be removed once LAVA issue is fixed
fetch.apply_async(args=[job.id], countdown=120)
def fetch_job(modeladmin, request, queryset):
for test_job in queryset:
fetch.apply_async(args=(test_job.id, ), task_id=task_id(test_job))
