def build_action(action_data, testdata, submission):
# test for a known section
logger = logging.getLogger("lava_results_app")
if "section" not in action_data:
logger.warn("Invalid action data - missing section")
return
metatype = MetaType.get_section(action_data["section"])
if metatype is None: # 0 is allowed
logger.debug("Unrecognised metatype in action_data: %s" % action_data["section"])
return
# lookup the type from the job definition.
type_name = MetaType.get_type_name(action_data["section"], submission)
if not type_name:
logger.debug("type_name failed for %s metatype %s" % (action_data["section"], MetaType.TYPE_CHOICES[metatype]))
return
action_meta, created = MetaType.objects.get_or_create(name=type_name, metatype=metatype)
if created:
action_meta.save()
max_retry = None
if "max_retries" in action_data:
max_retry = action_data["max_retries"]
action = ActionData.objects.create(
action_name=action_data["name"],
action_level=action_data["level"],
action_summary=action_data["summary"],
testdata=testdata,
action_description=action_data["description"],
meta_type=action_meta,
max_retries=max_retry,
timeout=int(Timeout.parse(action_data["timeout"])),
)
with transaction.atomic():
action.save()
def build_action(action_data, testdata, submission):
# test for a known section
logger = logging.getLogger("lava-master")
if "section" not in action_data:
logger.warning("Invalid action data - missing section")
return
metatype = MetaType.get_section(action_data["section"])
if metatype is None: # 0 is allowed
logger.debug("Unrecognised metatype in action_data: %s",
action_data["section"])
return
# lookup the type from the job definition.
type_name = MetaType.get_type_name(action_data, submission)
if not type_name:
logger.debug(
"type_name failed for %s metatype %s",
action_data["section"],
MetaType.TYPE_CHOICES[metatype],
)
return
action_meta, _ = MetaType.objects.get_or_create(name=type_name,
metatype=metatype)
max_retry = action_data.get("max_retries")
# find corresponding test case
match_case = None
test_cases = TestCase.objects.filter(suite__job=testdata.testjob,
suite__name="lava")
for case in test_cases:
if case.action_metadata:
if case.action_metadata.get("level") == action_data["level"]:
match_case = case
def test_duration(self):
TestJob.from_yaml_and_user(
self.factory.make_job_yaml(), self.user)
metatype = MetaType(name='fake', metatype=MetaType.DEPLOY_TYPE)
metatype.save()
action_data = ActionData(meta_type=metatype, action_level='1.2.3', action_name='fake')
action_data.save()
action_data.duration = '1.2'
action_data.save(update_fields=['duration'])
action_data = ActionData.objects.get(id=action_data.id) # reload
self.assertIsInstance(action_data.duration, decimal.Decimal)
# unit tests check the instance as well as the value.
self.assertEqual(float(action_data.duration), 1.2)
action_data.timeout = 300
action_data.save(update_fields=['timeout'])
self.assertEqual(action_data.timeout, 300)
def test_duration(self):
TestJob.from_yaml_and_user(
self.factory.make_job_yaml(), self.user)
metatype = MetaType(name='fake', metatype=MetaType.DEPLOY_TYPE)
metatype.save()
action_data = ActionData(meta_type=metatype, action_level='1.2.3', action_name='fake')
action_data.save()
action_data.duration = '1.2'
action_data.save(update_fields=['duration'])
action_data = ActionData.objects.get(id=action_data.id) # reload
self.assertIsInstance(action_data.duration, decimal.Decimal)
# unit tests check the instance as well as the value.
self.assertEqual(float(action_data.duration), 1.2)
action_data.timeout = 300
action_data.save(update_fields=['timeout'])
self.assertEqual(action_data.timeout, 300)
def build_action(action_data, testdata, submission):
# test for a known section
logger = logging.getLogger('lava-master')
if 'section' not in action_data:
logger.warning("Invalid action data - missing section")
return
metatype = MetaType.get_section(action_data['section'])
if metatype is None: # 0 is allowed
logger.debug("Unrecognised metatype in action_data: %s", action_data['section'])
return
# lookup the type from the job definition.
type_name = MetaType.get_type_name(action_data, submission)
if not type_name:
logger.debug(
"type_name failed for %s metatype %s",
action_data['section'], MetaType.TYPE_CHOICES[metatype])
return
action_meta, _ = MetaType.objects.get_or_create(name=type_name,
metatype=metatype)
max_retry = action_data.get('max_retries')
# find corresponding test case
match_case = None
test_cases = TestCase.objects.filter(suite__job=testdata.testjob, suite__name='lava')
for case in test_cases:
if 'level' in case.action_metadata:
if case.action_metadata['level'] == action_data['level']:
match_case = case
# maps the static testdata derived from the definition to the runtime pipeline construction
ActionData.objects.create(
action_name=action_data['name'],
action_level=action_data['level'],
action_summary=action_data['summary'],
testdata=testdata,
action_description=action_data['description'],
meta_type=action_meta,
max_retries=max_retry,
timeout=int(Timeout.parse(action_data['timeout'])),
testcase=match_case
)
def build_action(action_data, testdata, submission):
# test for a known section
logger = logging.getLogger('dispatcher-master')
if 'section' not in action_data:
logger.warning("Invalid action data - missing section")
return
metatype = MetaType.get_section(action_data['section'])
if metatype is None: # 0 is allowed
logger.debug("Unrecognised metatype in action_data: %s", action_data['section'])
return
# lookup the type from the job definition.
type_name = MetaType.get_type_name(action_data, submission)
if not type_name:
logger.debug(
"type_name failed for %s metatype %s",
action_data['section'], MetaType.TYPE_CHOICES[metatype])
return
action_meta, created = MetaType.objects.get_or_create(
name=type_name, metatype=metatype)
if created:
action_meta.save()
max_retry = None
if 'max_retries' in action_data:
max_retry = action_data['max_retries']
# maps the static testdata derived from the definition to the runtime pipeline construction
action = ActionData.objects.create(
action_name=action_data['name'],
action_level=action_data['level'],
action_summary=action_data['summary'],
testdata=testdata,
action_description=action_data['description'],
meta_type=action_meta,
max_retries=max_retry,
timeout=int(Timeout.parse(action_data['timeout']))
)
with transaction.atomic():
action.save()
def build_action(action_data, testdata, submission):
# test for a known section
logger = logging.getLogger('dispatcher-master')
if 'section' not in action_data:
logger.warning("Invalid action data - missing section")
return
metatype = MetaType.get_section(action_data['section'])
if metatype is None: # 0 is allowed
logger.debug("Unrecognised metatype in action_data: %s", action_data['section'])
return
# lookup the type from the job definition.
type_name = MetaType.get_type_name(action_data['section'], submission)
if not type_name:
logger.debug(
"type_name failed for %s metatype %s",
action_data['section'], MetaType.TYPE_CHOICES[metatype])
return
action_meta, created = MetaType.objects.get_or_create(
name=type_name, metatype=metatype)
if created:
action_meta.save()
max_retry = None
if 'max_retries' in action_data:
max_retry = action_data['max_retries']
# maps the static testdata derived from the definition to the runtime pipeline construction
action = ActionData.objects.create(
action_name=action_data['name'],
action_level=action_data['level'],
action_summary=action_data['summary'],
testdata=testdata,
action_description=action_data['description'],
meta_type=action_meta,
max_retries=max_retry,
timeout=int(Timeout.parse(action_data['timeout']))
)
with transaction.atomic():
action.save()
