def test_workflow_schema_invalid(self):
with self.assertRaises(DartValidationException) as context:
name = None
wf = Workflow(data=WorkflowData(name, 'ABC123'))
# should fail because the name is missing
default_and_validate(wf, workflow_schema())
self.assertTrue(isinstance(context.exception, DartValidationException))
def test_workflow_schema_invalid(self):
with self.assertRaises(DartValidationException) as context:
name = None
wf = Workflow(data=WorkflowData(name, 'ABC123'))
# should fail because the name is missing
default_and_validate(wf, workflow_schema())
self.assertTrue(isinstance(context.exception, DartValidationException))
def test_event_schema_invalid(self):
with self.assertRaises(DartValidationException) as context:
name = None
e = Event(data=EventData(name))
# should fail because the name is missing
default_and_validate(e, event_schema())
self.assertTrue(isinstance(context.exception, DartValidationException))
def test_event_schema_invalid(self):
with self.assertRaises(DartValidationException) as context:
name = None
e = Event(data=EventData(name))
# should fail because the name is missing
default_and_validate(e, event_schema())
self.assertTrue(isinstance(context.exception, DartValidationException))
def test_trigger_schema_invalid(self):
with self.assertRaises(DartValidationException) as context:
name = None
args = {'completed_workflow_id': 'ABC123'}
tr = Trigger(data=TriggerData(name, 'workflow_completion', ['ABC123'], args))
# should fail because the name is missing
default_and_validate(tr, trigger_schema(workflow_completion_trigger.params_json_schema))
self.assertTrue(isinstance(context.exception, DartValidationException))
def test_action_schema_invalid(self):
with self.assertRaises(DartValidationException) as context:
a = Action(data=ActionData('copy_hdfs_to_s3', 'copy_hdfs_to_s3', {
'source_hdfs_path': 'hdfs:///user/hive/warehouse/dtest4',
# 'destination_s3_path': 's3://fake-bucket/dart_testing',
}, engine_name='no_op_engine'))
# should fail because destination_s3_path is required
default_and_validate(a, action_schema(NoOpActionTypes.copy_hdfs_to_s3_action.params_json_schema)).to_dict()
self.assertTrue(isinstance(context.exception, DartValidationException))
def test_datastore_schema_invalid(self):
with self.assertRaises(DartValidationException) as context:
dst = Datastore(
data=DatastoreData('test-datastore',
'fake_engine',
args={'data_to_freespace_ratio_yo': 0}))
default_and_validate(dst,
datastore_schema(self.options_json_schema))
self.assertTrue(isinstance(context.exception, DartValidationException))
def test_dataset_schema_invalid(self):
with self.assertRaises(DartValidationException) as context:
columns = [Column('c1', DataType.VARCHAR, 50), Column('c2', DataType.BIGINT)]
df = DataFormat(FileFormat.PARQUET, RowFormat.NONE)
location = None
ds = Dataset(data=DatasetData('test-dataset', 'test_dataset_table', location, df, columns))
# should fail because location is required
default_and_validate(ds, dataset_schema())
self.assertTrue(isinstance(context.exception, DartValidationException))
def test_subscription_schema_invalid(self):
with self.assertRaises(DartValidationException) as context:
start = 's3://my-test-bucket/impala/impala'
end = 's3://my-test-bucket/impala/install'
regex = '.*\\.rpm'
name = None
sub = Subscription(data=SubscriptionData(name, 'ABC123', start, end, regex))
# should fail because the name is missing
default_and_validate(sub, subscription_schema())
self.assertTrue(isinstance(context.exception, DartValidationException))
def test_subscription_schema_invalid(self):
with self.assertRaises(DartValidationException) as context:
start = 's3://my-test-bucket/impala/impala'
end = 's3://my-test-bucket/impala/install'
regex = '.*\\.rpm'
name = None
sub = Subscription(
data=SubscriptionData(name, 'ABC123', start, end, regex))
# should fail because the name is missing
default_and_validate(sub, subscription_schema())
self.assertTrue(isinstance(context.exception, DartValidationException))
def test_trigger_schema_invalid(self):
with self.assertRaises(DartValidationException) as context:
name = None
args = {'completed_workflow_id': 'ABC123'}
tr = Trigger(data=TriggerData(name, 'workflow_completion',
['ABC123'], args))
# should fail because the name is missing
default_and_validate(
tr,
trigger_schema(workflow_completion_trigger.params_json_schema))
self.assertTrue(isinstance(context.exception, DartValidationException))
def test_event_schema(self):
state = None
e = Event(data=EventData('test-event', state=state))
obj_before = e.to_dict()
e = default_and_validate(e, event_schema())
# state should be defaulted to INACTIVE
self.assertNotEqual(obj_before, e.to_dict())
def save_trigger(self, trigger, commit_and_initialize=True, flush=False):
""" :type trigger: dart.model.trigger.Trigger """
trigger_type_name = trigger.data.trigger_type_name
if trigger_type_name == self._manual_trigger_processor.trigger_type().name:
raise DartValidationException('manual triggers cannot be saved')
trigger_processor = self._trigger_processors.get(trigger_type_name)
if not trigger_processor:
raise DartValidationException('unknown trigger_type_name: %s' % trigger_type_name)
assert isinstance(trigger_processor, TriggerProcessor)
trigger = default_and_validate(trigger, trigger_schema(trigger_processor.trigger_type().params_json_schema))
trigger_dao = TriggerDao()
trigger_dao.id = random_id()
trigger_dao.data = trigger.data.to_dict()
db.session.add(trigger_dao)
if flush:
db.session.flush()
trigger = trigger_dao.to_model()
if commit_and_initialize:
db.session.commit()
trigger = trigger_dao.to_model()
try:
trigger_processor.initialize_trigger(trigger, self)
except:
db.session.delete(trigger_dao)
db.session.commit()
raise
return trigger
def default_and_validate_trigger(self, trigger):
trigger_type_name = trigger.data.trigger_type_name
trigger_processor = self._trigger_processors.get(trigger_type_name)
return default_and_validate(
trigger,
trigger_schema(
trigger_processor.trigger_type().params_json_schema))
def test_workflow_schema(self):
state = None
wf = Workflow(data=WorkflowData('test-workflow', 'ABC123', state=state))
obj_before = wf.to_dict()
wf = default_and_validate(wf, workflow_schema())
# state should be defaulted to INACTIVE
self.assertNotEqual(obj_before, wf.to_dict())
def test_event_schema(self):
state = None
e = Event(data=EventData('test-event', state=state))
obj_before = e.to_dict()
e = default_and_validate(e, event_schema())
# state should be defaulted to INACTIVE
self.assertNotEqual(obj_before, e.to_dict())
def save_trigger(self, trigger, commit_and_initialize=True, flush=False):
""" :type trigger: dart.model.trigger.Trigger """
trigger_type_name = trigger.data.trigger_type_name
if trigger_type_name == self._manual_trigger_processor.trigger_type(
).name:
raise DartValidationException('manual triggers cannot be saved')
trigger_processor = self._trigger_processors.get(trigger_type_name)
if not trigger_processor:
raise DartValidationException('unknown trigger_type_name: %s' %
trigger_type_name)
assert isinstance(trigger_processor, TriggerProcessor)
trigger = default_and_validate(
trigger,
trigger_schema(
trigger_processor.trigger_type().params_json_schema))
trigger_dao = TriggerDao()
trigger_dao.id = random_id()
trigger_dao.data = trigger.data.to_dict()
db.session.add(trigger_dao)
if flush:
db.session.flush()
trigger = trigger_dao.to_model()
if commit_and_initialize:
db.session.commit()
trigger = trigger_dao.to_model()
try:
trigger_processor.initialize_trigger(trigger, self)
except:
db.session.delete(trigger_dao)
db.session.commit()
raise
return trigger
def test_action_schema_invalid(self):
with self.assertRaises(DartValidationException) as context:
a = Action(data=ActionData(
'copy_hdfs_to_s3',
'copy_hdfs_to_s3',
{
'source_hdfs_path': 'hdfs:///user/hive/warehouse/dtest4',
# 'destination_s3_path': 's3://fake-bucket/dart_testing',
},
engine_name='no_op_engine'))
# should fail because destination_s3_path is required
default_and_validate(
a,
action_schema(NoOpActionTypes.copy_hdfs_to_s3_action.
params_json_schema)).to_dict()
self.assertTrue(isinstance(context.exception, DartValidationException))
def test_workflow_schema(self):
state = None
wf = Workflow(
data=WorkflowData('test-workflow', 'ABC123', state=state))
obj_before = wf.to_dict()
wf = default_and_validate(wf, workflow_schema())
# state should be defaulted to INACTIVE
self.assertNotEqual(obj_before, wf.to_dict())
def update_event(event, name, description, state):
""" :type event: dart.model.event.Event """
source_event = event.copy()
event = default_and_validate(event, event_schema())
event.data.name = name
event.data.description = description
event.data.state = state
return patch_difference(EventDao, source_event, event)
def update_event(event, name, description, state):
""" :type event: dart.model.event.Event """
source_event = event.copy()
event = default_and_validate(event, event_schema())
event.data.name = name
event.data.description = description
event.data.state = state
return patch_difference(EventDao, source_event, event)
def test_trigger_schema(self):
args = {'completed_workflow_id': 'ABC123'}
state = None
tr = Trigger(data=TriggerData('test-trigger', 'workflow_completion', ['ABC123'], args, state=state))
obj_before = tr.to_dict()
tr = default_and_validate(tr, trigger_schema(workflow_completion_trigger.params_json_schema))
# state should be defaulted to INACTIVE
self.assertNotEqual(obj_before, tr.to_dict())
def update_subscription_name(subscription, name):
""" :type subscription: dart.model.subscription.Subscription """
source_subscription = subscription.copy()
subscription = default_and_validate(subscription,
subscription_schema())
subscription.data.name = name
return patch_difference(SubscriptionDao, source_subscription,
subscription)
def test_dataset_schema(self):
columns = [Column('c1', DataType.VARCHAR, 50), Column('c2', DataType.BIGINT)]
num_header_rows = None
df = DataFormat(FileFormat.PARQUET, RowFormat.NONE, num_header_rows)
ds = Dataset(data=DatasetData('test-dataset', 'test_dataset_table', 's3://bucket/prefix', df, columns))
obj_before = ds.to_dict()
obj_after = default_and_validate(ds, dataset_schema()).to_dict()
# num_header_rows should have been defaulted to 0, making these unequal
self.assertNotEqual(obj_before, obj_after)
def test_subscription_schema(self):
start = 's3://my-test-bucket/impala/impala'
end = 's3://my-test-bucket/impala/install'
regex = '.*\\.rpm'
state = None
sub = Subscription(data=SubscriptionData('test-subscription', 'ABC123', start, end, regex, state=state))
obj_before = sub.to_dict()
sub = default_and_validate(sub, subscription_schema())
# state should be defaulted to INACTIVE
self.assertNotEqual(obj_before, sub.to_dict())
def default_and_validate_action(self, action, action_type=None):
if not action_type:
engine = self._engine_service.get_engine_by_name(action.data.engine_name)
action_types_by_name = {at.name: at for at in engine.data.supported_action_types}
action_type = action_types_by_name.get(action.data.action_type_name)
if not action_type:
raise DartValidationException('unknown action: "%s"' % action.data.action_type_name)
assert isinstance(action_type, ActionType)
action = default_and_validate(action, action_schema(action_type.params_json_schema))
return action
def test_action_schema(self):
last_in_workflow = None
a = Action(data=ActionData('copy_hdfs_to_s3', 'copy_hdfs_to_s3', {
'source_hdfs_path': 'hdfs:///user/hive/warehouse/dtest4',
'destination_s3_path': 's3://fake-bucket/dart_testing',
}, engine_name='no_op_engine', last_in_workflow=last_in_workflow))
obj_before = a.to_dict()
obj_after = default_and_validate(a, action_schema(NoOpActionTypes.copy_hdfs_to_s3_action.params_json_schema)).to_dict()
# many fields should have been defaulted, making these unequal
self.assertNotEqual(obj_before, obj_after)
def update_engine(self, engine, updated_engine):
updated_engine = default_and_validate(updated_engine, engine_schema())
self._validate_ecs_task_definition(updated_engine.data.ecs_task_definition)
p = jsonpatch.make_patch(engine.data.ecs_task_definition, updated_engine.data.ecs_task_definition)
prior_arn_missing = not engine.data.ecs_task_definition_arn and updated_engine.data.ecs_task_definition
if len(p.patch) > 0 or prior_arn_missing:
self._deregister_task_definition(engine.data.ecs_task_definition_arn)
updated_engine.data.ecs_task_definition_arn = self._register_ecs_task_definition(updated_engine)
return self.update_engine_data(engine.id, updated_engine.data)
def save_trigger(self,
trigger,
commit_and_initialize=True,
flush=False,
user_id=None):
wf_uuid = uuid.uuid4().hex # to avoid uuid serialization issues
trigger.data.tags = trigger.data.tags if (trigger.data.tags) else []
trigger.data.tags.append(wf_uuid)
if user_id:
trigger.data.user_id = user_id
""" :type trigger: dart.model.trigger.Trigger """
trigger_type_name = trigger.data.trigger_type_name
if trigger_type_name == self._manual_trigger_processor.trigger_type(
).name:
raise DartValidationException('manual triggers cannot be saved')
if trigger_type_name == self._retry_trigger_processor.trigger_type(
).name:
raise DartValidationException('retry triggers cannot be saved')
trigger_processor = self._trigger_processors.get(trigger_type_name)
if not trigger_processor:
raise DartValidationException('unknown trigger_type_name: %s' %
trigger_type_name)
assert isinstance(trigger_processor, TriggerProcessor)
trigger = default_and_validate(
trigger,
trigger_schema(
trigger_processor.trigger_type().params_json_schema))
trigger_dao = TriggerDao()
trigger_dao.id = random_id()
if trigger_type_name == 'subscription_batch':
sub = self._subscription_service.get_subscription(
trigger.data.args['subscription_id'])
if sub.data.nudge_id:
response = self.update_nudge_with_trigger(
sub.data.nudge_id,
trigger.data.args['unconsumed_data_size_in_bytes'],
trigger_dao.id, trigger.data.trigger_type_name)
assert (response.status_code == 200)
trigger_dao.data = trigger.data.to_dict()
db.session.add(trigger_dao)
if flush:
db.session.flush()
trigger = trigger_dao.to_model()
if commit_and_initialize:
db.session.commit()
trigger = trigger_dao.to_model()
try:
trigger_processor.initialize_trigger(trigger, self)
except:
db.session.delete(trigger_dao)
db.session.commit()
raise
return trigger
def test_subscription_schema(self):
start = 's3://my-test-bucket/impala/impala'
end = 's3://my-test-bucket/impala/install'
regex = '.*\\.rpm'
state = None
sub = Subscription(data=SubscriptionData(
'test-subscription', 'ABC123', start, end, regex, state=state))
obj_before = sub.to_dict()
sub = default_and_validate(sub, subscription_schema())
# state should be defaulted to INACTIVE
self.assertNotEqual(obj_before, sub.to_dict())
def default_and_validate_action(self, action, action_type=None):
if not action_type:
engine = self._engine_service.get_engine_by_name(action.data.engine_name)
action_types_by_name = {at.name: at for at in engine.data.supported_action_types}
action_type = action_types_by_name.get(action.data.action_type_name)
if not action_type:
raise DartValidationException('unknown action: "%s"' % action.data.action_type_name)
assert isinstance(action_type, ActionType)
if not action.data.args:
action.data.args = {}
action = default_and_validate(action, action_schema(action_type.params_json_schema))
return action
def test_trigger_schema(self):
args = {'completed_workflow_id': 'ABC123'}
state = None
tr = Trigger(data=TriggerData('test-trigger',
'workflow_completion', ['ABC123'],
args,
state=state))
obj_before = tr.to_dict()
tr = default_and_validate(
tr, trigger_schema(workflow_completion_trigger.params_json_schema))
# state should be defaulted to INACTIVE
self.assertNotEqual(obj_before, tr.to_dict())
def test_datastore_schema(self):
dst = Datastore(data=DatastoreData('test-datastore', 'fake_engine', args={'data_to_freespace_ratio': 0, 'secret': 'hi'}))
obj_before = dst.to_dict()
schema = datastore_schema(self.options_json_schema)
dst = default_and_validate(dst, schema)
obj_after = dst.to_dict()
self.assertNotEqual(obj_before, obj_after)
self.assertEqual(obj_after['data']['args']['secret'], 'hi')
secrets = {}
purge_secrets(obj_after, schema, secrets)
self.assertEqual(obj_after['data']['args'].get('secret'), None)
self.assertEqual(secrets, {'secret': 'hi'})
def save_event(event, commit=True, flush=False):
""" :type event: dart.model.event.Event """
event = default_and_validate(event, event_schema())
event_dao = EventDao()
event_dao.id = random_id()
event_dao.data = event.data.to_dict()
db.session.add(event_dao)
if flush:
db.session.flush()
if commit:
db.session.commit()
event = event_dao.to_model()
return event
def save_subgraph_definition(subgraph_definition, engine, trigger_schemas):
""" :type engine: dart.model.engine.Engine
:type subgraph_definition: dart.model.graph.SubGraphDefinition """
action_schemas = [action_schema(e.params_json_schema) for e in engine.data.supported_action_types]
ds_schema = datastore_schema(engine.data.options_json_schema)
schema = subgraph_definition_schema(trigger_schemas, action_schemas, ds_schema)
subgraph_definition = default_and_validate(subgraph_definition, schema)
subgraph_definition_dao = SubGraphDefinitionDao()
subgraph_definition_dao.id = random_id()
subgraph_definition_dao.data = subgraph_definition.data.to_dict()
subgraph_definition_dao.data['engine_name'] = engine.data.name
db.session.add(subgraph_definition_dao)
db.session.commit()
return subgraph_definition_dao.to_model()
def save_workflow(workflow, commit=True, flush=False):
""" :type workflow: dart.model.workflow.Workflow """
workflow = default_and_validate(workflow, workflow_schema())
workflow_dao = WorkflowDao()
workflow_dao.id = random_id()
workflow_dao.data = workflow.data.to_dict()
db.session.add(workflow_dao)
if flush:
db.session.flush()
if commit:
db.session.commit()
workflow = workflow_dao.to_model()
return workflow
def save_workflow(workflow, commit=True, flush=False):
""" :type workflow: dart.model.workflow.Workflow """
workflow = default_and_validate(workflow, workflow_schema())
workflow_dao = WorkflowDao()
workflow_dao.id = random_id()
workflow_dao.data = workflow.data.to_dict()
db.session.add(workflow_dao)
if flush:
db.session.flush()
if commit:
db.session.commit()
workflow = workflow_dao.to_model()
return workflow
def save_event(event, commit=True, flush=False):
""" :type event: dart.model.event.Event """
event = default_and_validate(event, event_schema())
event_dao = EventDao()
event_dao.id = random_id()
event_dao.data = event.data.to_dict()
db.session.add(event_dao)
if flush:
db.session.flush()
if commit:
db.session.commit()
event = event_dao.to_model()
return event
def update_engine(self, engine, updated_engine):
updated_engine = default_and_validate(updated_engine, engine_schema())
self._validate_ecs_task_definition(
updated_engine.data.ecs_task_definition)
p = jsonpatch.make_patch(engine.data.ecs_task_definition,
updated_engine.data.ecs_task_definition)
prior_arn_missing = not engine.data.ecs_task_definition_arn and updated_engine.data.ecs_task_definition
if len(p.patch) > 0 or prior_arn_missing:
self._deregister_task_definition(
engine.data.ecs_task_definition_arn)
updated_engine.data.ecs_task_definition_arn = self._register_ecs_task_definition(
updated_engine)
return self.update_engine_data(engine.id, updated_engine.data)
def save_subscription(self, subscription, commit_and_generate=True, flush=False):
""" :type subscription: dart.model.subscription.Subscription """
subscription = default_and_validate(subscription, subscription_schema())
subscription_dao = SubscriptionDao()
subscription_dao.id = random_id()
subscription.data.state = SubscriptionState.ACTIVE
subscription_dao.data = subscription.data.to_dict()
db.session.add(subscription_dao)
if flush:
db.session.flush()
subscription = subscription_dao.to_model()
if commit_and_generate:
db.session.commit()
subscription = subscription_dao.to_model()
return subscription
def save_subscription(self, subscription, commit_and_generate=True, flush=False):
""" :type subscription: dart.model.subscription.Subscription """
subscription = default_and_validate(subscription, subscription_schema())
subscription_dao = SubscriptionDao()
subscription_dao.id = random_id()
subscription.data.state = SubscriptionState.ACTIVE
subscription_dao.data = subscription.data.to_dict()
db.session.add(subscription_dao)
if flush:
db.session.flush()
subscription = subscription_dao.to_model()
if commit_and_generate:
db.session.commit()
subscription = subscription_dao.to_model()
return subscription
def test_action_schema(self):
last_in_workflow = None
a = Action(data=ActionData(
'copy_hdfs_to_s3',
'copy_hdfs_to_s3', {
'source_hdfs_path': 'hdfs:///user/hive/warehouse/dtest4',
'destination_s3_path': 's3://fake-bucket/dart_testing',
},
engine_name='no_op_engine',
last_in_workflow=last_in_workflow))
obj_before = a.to_dict()
obj_after = default_and_validate(
a,
action_schema(NoOpActionTypes.copy_hdfs_to_s3_action.
params_json_schema)).to_dict()
# many fields should have been defaulted, making these unequal
self.assertNotEqual(obj_before, obj_after)
def save_trigger(self,
trigger,
commit_and_initialize=True,
flush=False,
user_id=None):
wf_uuid = uuid.uuid4().hex # to avoid uuid serialization issues
trigger.data.tags = trigger.data.tags if (trigger.data.tags) else []
trigger.data.tags.append(wf_uuid)
if user_id:
trigger.data.user_id = user_id
""" :type trigger: dart.model.trigger.Trigger """
trigger_type_name = trigger.data.trigger_type_name
if trigger_type_name == self._manual_trigger_processor.trigger_type(
).name:
raise DartValidationException('manual triggers cannot be saved')
if trigger_type_name == self._retry_trigger_processor.trigger_type(
).name:
raise DartValidationException('retry triggers cannot be saved')
trigger_processor = self._trigger_processors.get(trigger_type_name)
if not trigger_processor:
raise DartValidationException('unknown trigger_type_name: %s' %
trigger_type_name)
assert isinstance(trigger_processor, TriggerProcessor)
trigger = default_and_validate(
trigger,
trigger_schema(
trigger_processor.trigger_type().params_json_schema))
trigger_dao = TriggerDao()
trigger_dao.id = random_id()
trigger_dao.data = trigger.data.to_dict()
db.session.add(trigger_dao)
if flush:
db.session.flush()
trigger = trigger_dao.to_model()
if commit_and_initialize:
db.session.commit()
trigger = trigger_dao.to_model()
try:
trigger_processor.initialize_trigger(trigger, self)
except:
db.session.delete(trigger_dao)
db.session.commit()
raise
return trigger
def save_subgraph_definition(subgraph_definition, engine, trigger_schemas):
""" :type engine: dart.model.engine.Engine
:type subgraph_definition: dart.model.graph.SubGraphDefinition """
action_schemas = [
action_schema(e.params_json_schema)
for e in engine.data.supported_action_types
]
ds_schema = datastore_schema(engine.data.options_json_schema)
schema = subgraph_definition_schema(trigger_schemas, action_schemas,
ds_schema)
subgraph_definition = default_and_validate(subgraph_definition, schema)
subgraph_definition_dao = SubGraphDefinitionDao()
subgraph_definition_dao.id = random_id()
subgraph_definition_dao.data = subgraph_definition.data.to_dict()
subgraph_definition_dao.data['engine_name'] = engine.data.name
db.session.add(subgraph_definition_dao)
db.session.commit()
return subgraph_definition_dao.to_model()
def test_datastore_schema(self):
dst = Datastore(data=DatastoreData('test-datastore',
'fake_engine',
args={
'data_to_freespace_ratio': 0,
'secret': 'hi'
}))
obj_before = dst.to_dict()
schema = datastore_schema(self.options_json_schema)
dst = default_and_validate(dst, schema)
obj_after = dst.to_dict()
self.assertNotEqual(obj_before, obj_after)
self.assertEqual(obj_after['data']['args']['secret'], 'hi')
secrets = {}
purge_secrets(obj_after, schema, secrets)
self.assertEqual(obj_after['data']['args'].get('secret'), None)
self.assertEqual(secrets, {'secret': 'hi'})
def save_subscription(self, subscription, commit_and_generate=True, flush=False):
""" :type subscription: dart.model.subscription.Subscription """
subscription = default_and_validate(subscription, subscription_schema())
subscription_dao = SubscriptionDao()
subscription_dao.id = random_id()
subscription.data.state = SubscriptionState.QUEUED
subscription.data.queued_time = datetime.now()
subscription_dao.data = subscription.data.to_dict()
db.session.add(subscription_dao)
if flush:
db.session.flush()
subscription = subscription_dao.to_model()
if commit_and_generate:
db.session.commit()
subscription = subscription_dao.to_model()
self._subscription_proxy.generate_subscription_elements(subscription)
return subscription
def save_trigger(self, trigger, commit_and_initialize=True, flush=False, user_id=None):
wf_uuid = uuid.uuid4().hex # to avoid uuid serialization issues
trigger.data.tags = trigger.data.tags if (trigger.data.tags) else []
trigger.data.tags.append(wf_uuid)
if user_id:
trigger.data.user_id = user_id
""" :type trigger: dart.model.trigger.Trigger """
trigger_type_name = trigger.data.trigger_type_name
if trigger_type_name == self._manual_trigger_processor.trigger_type().name:
raise DartValidationException('manual triggers cannot be saved')
if trigger_type_name == self._retry_trigger_processor.trigger_type().name:
raise DartValidationException('retry triggers cannot be saved')
trigger_processor = self._trigger_processors.get(trigger_type_name)
if not trigger_processor:
raise DartValidationException('unknown trigger_type_name: %s' % trigger_type_name)
assert isinstance(trigger_processor, TriggerProcessor)
trigger = default_and_validate(trigger, trigger_schema(trigger_processor.trigger_type().params_json_schema))
trigger_dao = TriggerDao()
trigger_dao.id = random_id()
if trigger_type_name == 'subscription_batch':
sub = self._subscription_service.get_subscription(trigger.data.args['subscription_id'])
if sub.data.nudge_id:
response = self.update_nudge_with_trigger(sub.data.nudge_id,
trigger.data.args['unconsumed_data_size_in_bytes'],
trigger_dao.id,
trigger.data.trigger_type_name)
assert(response.status_code == 200)
trigger_dao.data = trigger.data.to_dict()
db.session.add(trigger_dao)
if flush:
db.session.flush()
trigger = trigger_dao.to_model()
if commit_and_initialize:
db.session.commit()
trigger = trigger_dao.to_model()
try:
trigger_processor.initialize_trigger(trigger, self)
except:
db.session.delete(trigger_dao)
db.session.commit()
raise
return trigger
def save_engine(self, engine):
""" :type engine: dart.model.engine.Engine """
engine = default_and_validate(engine, engine_schema())
self._validate_ecs_task_definition(engine.data.ecs_task_definition)
engine_dao = EngineDao()
engine_dao.id = random_id()
engine_dao.name = engine.data.name
engine_dao.data = engine.data.to_dict()
db.session.add(engine_dao)
try:
db.session.commit()
engine = engine_dao.to_model()
engine.data.ecs_task_definition_arn = self._register_ecs_task_definition(engine)
return self.update_engine_data(engine.id, engine.data)
except SqlAlchemyIntegrityError as e:
if hasattr(e, 'orig') and isinstance(e.orig, PostgresIntegrityError) and e.orig.pgcode == '23505':
raise DartValidationException('name already exists: %s' % engine.data.name)
raise e
def save_dataset(dataset, commit=True, flush=False):
""" :type dataset: dart.model.dataset.Dataset """
dataset = default_and_validate(dataset, dataset_schema())
dataset_dao = DatasetDao()
dataset_dao.id = random_id()
dataset_dao.name = dataset.data.name
dataset.data.location = dataset.data.location.rstrip('/')
dataset_dao.data = dataset.data.to_dict()
db.session.add(dataset_dao)
try:
if flush:
db.session.flush()
if commit:
db.session.commit()
dataset = dataset_dao.to_model()
return dataset
except SqlAlchemyIntegrityError as e:
if hasattr(e, 'orig') and isinstance(e.orig, PostgresIntegrityError) and e.orig.pgcode == '23505':
raise DartValidationException('name already exists: %s' % dataset.data.name)
raise e
def save_subscription(self,
subscription,
commit_and_generate=True,
flush=False):
""" :type subscription: dart.model.subscription.Subscription """
subscription = default_and_validate(subscription,
subscription_schema())
subscription_dao = SubscriptionDao()
subscription_dao.id = random_id()
subscription.data.state = SubscriptionState.QUEUED
subscription.data.queued_time = datetime.now()
subscription_dao.data = subscription.data.to_dict()
db.session.add(subscription_dao)
if flush:
db.session.flush()
subscription = subscription_dao.to_model()
if commit_and_generate:
db.session.commit()
subscription = subscription_dao.to_model()
self._subscription_proxy.generate_subscription_elements(
subscription)
return subscription
def save_trigger(self, trigger, commit_and_initialize=True, flush=False, user_id=None):
wf_uuid = uuid.uuid4().hex # to avoid uuid serialization issues
trigger.data.tags = trigger.data.tags if (trigger.data.tags) else []
trigger.data.tags.append(wf_uuid)
if user_id:
trigger.data.user_id = user_id
""" :type trigger: dart.model.trigger.Trigger """
trigger_type_name = trigger.data.trigger_type_name
if trigger_type_name == self._manual_trigger_processor.trigger_type().name:
raise DartValidationException('manual triggers cannot be saved')
if trigger_type_name == self._retry_trigger_processor.trigger_type().name:
raise DartValidationException('retry triggers cannot be saved')
trigger_processor = self._trigger_processors.get(trigger_type_name)
if not trigger_processor:
raise DartValidationException('unknown trigger_type_name: %s' % trigger_type_name)
assert isinstance(trigger_processor, TriggerProcessor)
trigger = default_and_validate(trigger, trigger_schema(trigger_processor.trigger_type().params_json_schema))
trigger_dao = TriggerDao()
trigger_dao.id = random_id()
trigger_dao.data = trigger.data.to_dict()
db.session.add(trigger_dao)
if flush:
db.session.flush()
trigger = trigger_dao.to_model()
if commit_and_initialize:
db.session.commit()
trigger = trigger_dao.to_model()
try:
trigger_processor.initialize_trigger(trigger, self)
except:
db.session.delete(trigger_dao)
db.session.commit()
raise
return trigger
def save_dataset(dataset, commit=True, flush=False):
""" :type dataset: dart.model.dataset.Dataset """
dataset = default_and_validate(dataset, dataset_schema())
dataset_dao = DatasetDao()
dataset_dao.id = random_id()
dataset_dao.name = dataset.data.name
dataset.data.location = dataset.data.location.rstrip('/')
dataset_dao.data = dataset.data.to_dict()
db.session.add(dataset_dao)
try:
if flush:
db.session.flush()
if commit:
db.session.commit()
dataset = dataset_dao.to_model()
return dataset
except SqlAlchemyIntegrityError as e:
if hasattr(e, 'orig') and isinstance(
e.orig,
PostgresIntegrityError) and e.orig.pgcode == '23505':
raise DartValidationException('name already exists: %s' %
dataset.data.name)
raise e
def save_engine(self, engine):
""" :type engine: dart.model.engine.Engine """
engine = default_and_validate(engine, engine_schema())
self._validate_ecs_task_definition(engine.data.ecs_task_definition)
engine_dao = EngineDao()
engine_dao.id = random_id()
engine_dao.name = engine.data.name
engine_dao.data = engine.data.to_dict()
db.session.add(engine_dao)
try:
db.session.commit()
engine = engine_dao.to_model()
engine.data.ecs_task_definition_arn = self._register_ecs_task_definition(
engine)
return self.update_engine_data(engine.id, engine.data)
except SqlAlchemyIntegrityError as e:
if hasattr(e, 'orig') and isinstance(
e.orig,
PostgresIntegrityError) and e.orig.pgcode == '23505':
raise DartValidationException('name already exists: %s' %
engine.data.name)
raise e
def default_and_validate_trigger(self, trigger):
trigger_type_name = trigger.data.trigger_type_name
trigger_processor = self._trigger_processors.get(trigger_type_name)
return default_and_validate(trigger, trigger_schema(trigger_processor.trigger_type().params_json_schema))
def default_and_validate_event(event):
return default_and_validate(event, event_schema())
def default_and_validate_subscription(subscription):
return default_and_validate(subscription, subscription_schema())
def default_and_validate_workflow(workflow):
return default_and_validate(workflow, workflow_schema())
def default_and_validate_datastore(self, datastore, schema=None):
return default_and_validate(datastore, schema or self.get_schema(datastore))
