def subgraph_definition_schema(trigger_schemas, action_schemas, datastore_schema):
return base_schema({
'type': 'object',
'properties': {
'name': {'type': 'string'},
'description': {'type': 'string'},
'engine_name': {'type': 'string'},
'related_type': {'type': 'string', 'maxLength': 50},
'related_is_a': {'type': 'string', 'maxLength': 50},
'actions': {
'x-schema-form': {'type': 'tabarray', 'title': "{{ value.name }}"},
'type': 'array',
'items': {'anyOf': action_schemas},
'default': []
},
'datastores': {
'x-schema-form': {'type': 'tabarray', 'title': "{{ value.name }}"},
'type': 'array',
'items': datastore_schema,
'default': []
},
'datasets': {
'x-schema-form': {'type': 'tabarray', 'title': "{{ value.name }}"},
'type': 'array',
'items': dataset_schema(),
'default': []
},
'events': {
'x-schema-form': {'type': 'tabarray', 'title': "{{ value.name }}"},
'type': 'array',
'items': event_schema(),
'default': []
},
'subscriptions': {
'x-schema-form': {'type': 'tabarray', 'title': "{{ value.name }}"},
'type': 'array',
'items': subscription_schema(),
'default': []
},
'triggers': {
'x-schema-form': {'type': 'tabarray', 'title': "{{ value.name }}"},
'type': 'array',
'items': {'anyOf': trigger_schemas},
'default': []
},
'workflows': {
'x-schema-form': {'type': 'tabarray', 'title': "{{ value.name }}"},
'type': 'array',
'items': workflow_schema(),
'default': []
},
'icon': {'type': ['string', 'null']},
'md_icon': {'type': ['string', 'null']},
},
'additionalProperties': False,
'required': ['name', 'engine_name', 'related_type', 'related_is_a']
})
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_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 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 main():
data = {
'definitions': {
'Action': action_schema(None),
'ActionContext': action_context_schema(),
'ActionResult': action_result_schema(),
'Dataset': dataset_schema(),
'Datastore': datastore_schema(None),
'Engine': engine_schema(),
'ErrorResult': error_result_schema(),
'Event': event_schema(),
'Filter': filter_schema(),
'GraphEntityIdentifier': graph_entity_identifier_schema(),
'GraphEntity': graph_entity_schema(),
'JSONPatch': json_patch_schema(),
'JSONSchema': json_schema_schema(),
'OKResult': ok_result_schema(),
'OrderBy': order_by_schema(),
'SubGraph': sub_graph_schema(),
'SubGraphDefinition': {
'type': 'object'
}, #subgraph_definition_schema([{'type': 'object'}], [{'type': 'object'}], {'type': 'object'}),
'Subscription': subscription_schema(),
'Trigger': trigger_schema({'type': 'object'}),
'TriggerType': trigger_type_schema(),
'Workflow': workflow_schema(),
'WorkflowInstance': workflow_instance_schema()
}
}
fix_up(data, data, [None])
print dump(data,
Dumper=Dumper,
default_style=None,
default_flow_style=False,
explicit_start=False,
explicit_end=False)
return 0
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 export_swagger_definitions(out):
data = {
'definitions': {
'Action': action_schema({'type': 'object', 'x-nullable': True}),
'ActionResponse': object_response_schema('Action'),
'ActionsResponse': array_response_schema('Action'),
'PagedActionsResponse': paged_response_schema('Action'),
'ActionContext': action_context_schema(),
'ActionContextResponse': object_response_schema('ActionContext'),
'ActionResult': action_result_schema(),
'Dataset': dataset_schema(),
'DatasetResponse': object_response_schema('Dataset'),
'PagedDatasetsResponse': paged_response_schema('Dataset'),
'Datastore': datastore_schema({'type': 'object', 'x-nullable': True}),
'DatastoreResponse': object_response_schema('Datastore'),
'PagedDatastoresResponse': paged_response_schema('Datastore'),
'Engine': engine_schema(),
'EngineResponse': object_response_schema('Engine'),
'PagedEnginesResponse': paged_response_schema('Engine'),
'ErrorResponse': error_response_schema(),
'Event': event_schema(),
'EventResponse': object_response_schema('Event'),
'PagedEventsResponse': paged_response_schema('Event'),
'Filter': filter_schema(),
'GraphEntityIdentifier': graph_entity_identifier_schema(),
'GraphEntityIdentifierResponse': object_response_schema('GraphEntityIdentifier'),
'GraphEntityIdentifiersResponse': array_response_schema('GraphEntityIdentifier'),
'GraphEntity': graph_entity_schema(),
'GraphEntityResponse': object_response_schema('GraphEntity'),
'JSONPatch': json_patch_schema(),
'JSONSchema': json_schema_schema(),
'JSONSchemaResponse': object_response_schema('JSONSchema'),
'ObjectResponse': object_response_schema('object'),
'ObjectsResponse': array_response_schema('object'),
'PagedObjectsResponse': paged_response_schema('object'),
'OKResponse': ok_response_schema(),
'OrderBy': order_by_schema(),
'Subgraph': sub_graph_schema(),
'SubgraphResponse': object_response_schema('Subgraph'),
'SubgraphDefinition': {'type': 'object'}, #subgraph_definition_schema([{'type': 'object'}], [{'type': 'object'}], {'type': 'object'}),
'SubgraphDefinitionResponse': object_response_schema('SubgraphDefinition'),
'Subscription': subscription_schema(),
'SubscriptionResponse': object_response_schema('Subscription'),
'PagedSubscriptionsResponse': paged_response_schema('Subscription'),
'SubscriptionElement': subscription_element_schema(),
'PagedSubscriptionElementsResponse': paged_response_schema('SubscriptionElement'),
'Trigger': trigger_schema({'type': 'object'}),
'TriggerResponse': object_response_schema('Trigger'),
'PagedTriggersResponse': paged_response_schema('Trigger'),
'TriggerType': trigger_type_schema(),
'PagedTriggerTypesResponse': paged_response_schema('TriggerType'),
'Workflow': workflow_schema(),
'WorkflowResponse': object_response_schema('Workflow'),
'PagedWorkflowsResponse': paged_response_schema('Workflow'),
'WorkflowInstance': workflow_instance_schema(),
'WorkflowInstanceResponse': object_response_schema('WorkflowInstance'),
'PagedWorkflowInstancesResponse': paged_response_schema('WorkflowInstance')
}
}
fix_up(data, data, [None])
dump(data, out, Dumper=Dumper, default_style=None, default_flow_style=False, explicit_start=False, explicit_end=False)
def get_dataset_json_schema():
return {'results': dataset_schema()}
def get_dataset_json_schema():
return {'results': dataset_schema()}
def export_swagger_definitions(out):
data = {
'definitions': {
'Action':
action_schema({
'type': 'object',
'x-nullable': True
}),
'ActionResponse':
object_response_schema('Action'),
'ActionsResponse':
array_response_schema('Action'),
'PagedActionsResponse':
paged_response_schema('Action'),
'ActionContext':
action_context_schema(),
'ActionContextResponse':
object_response_schema('ActionContext'),
'ActionResult':
action_result_schema(),
'Dataset':
dataset_schema(),
'DatasetResponse':
object_response_schema('Dataset'),
'PagedDatasetsResponse':
paged_response_schema('Dataset'),
'Datastore':
datastore_schema({
'type': 'object',
'x-nullable': True
}),
'DatastoreResponse':
object_response_schema('Datastore'),
'PagedDatastoresResponse':
paged_response_schema('Datastore'),
'Engine':
engine_schema(),
'EngineResponse':
object_response_schema('Engine'),
'PagedEnginesResponse':
paged_response_schema('Engine'),
'ErrorResponse':
error_response_schema(),
'Event':
event_schema(),
'EventResponse':
object_response_schema('Event'),
'PagedEventsResponse':
paged_response_schema('Event'),
'Filter':
filter_schema(),
'GraphEntityIdentifier':
graph_entity_identifier_schema(),
'GraphEntityIdentifierResponse':
object_response_schema('GraphEntityIdentifier'),
'GraphEntityIdentifiersResponse':
array_response_schema('GraphEntityIdentifier'),
'GraphEntity':
graph_entity_schema(),
'GraphEntityResponse':
object_response_schema('GraphEntity'),
'JSONPatch':
json_patch_schema(),
'JSONSchema':
json_schema_schema(),
'JSONSchemaResponse':
object_response_schema('JSONSchema'),
'ObjectResponse':
object_response_schema('object'),
'ObjectsResponse':
array_response_schema('object'),
'PagedObjectsResponse':
paged_response_schema('object'),
'OKResponse':
ok_response_schema(),
'OrderBy':
order_by_schema(),
'Subgraph':
sub_graph_schema(),
'SubgraphResponse':
object_response_schema('Subgraph'),
'SubgraphDefinition': {
'type': 'object'
}, #subgraph_definition_schema([{'type': 'object'}], [{'type': 'object'}], {'type': 'object'}),
'SubgraphDefinitionResponse':
object_response_schema('SubgraphDefinition'),
'Subscription':
subscription_schema(),
'SubscriptionResponse':
object_response_schema('Subscription'),
'PagedSubscriptionsResponse':
paged_response_schema('Subscription'),
'SubscriptionElement':
subscription_element_schema(),
'PagedSubscriptionElementsResponse':
paged_response_schema('SubscriptionElement'),
'Trigger':
trigger_schema({'type': 'object'}),
'TriggerResponse':
object_response_schema('Trigger'),
'PagedTriggersResponse':
paged_response_schema('Trigger'),
'TriggerType':
trigger_type_schema(),
'PagedTriggerTypesResponse':
paged_response_schema('TriggerType'),
'Workflow':
workflow_schema(),
'WorkflowResponse':
object_response_schema('Workflow'),
'PagedWorkflowsResponse':
paged_response_schema('Workflow'),
'WorkflowInstance':
workflow_instance_schema(),
'WorkflowInstanceResponse':
object_response_schema('WorkflowInstance'),
'PagedWorkflowInstancesResponse':
paged_response_schema('WorkflowInstance')
}
}
fix_up(data, data, [None])
dump(data,
out,
Dumper=Dumper,
default_style=None,
default_flow_style=False,
explicit_start=False,
explicit_end=False)
def update_dataset(self, dataset_id, dataset):
dataset = default_and_validate(dataset, dataset_schema())
return self.update_dataset_data(dataset_id, dataset.data)
def _query_dataset_query(self, filters):
query = DatasetDao.query.order_by(DatasetDao.updated)
for f in filters:
query = self._filter_service.apply_filter(f, query, DatasetDao, [dataset_schema()])
return query
def update_dataset(self, dataset_id, dataset):
dataset = default_and_validate(dataset, dataset_schema())
return self.update_dataset_data(dataset_id, dataset.data)
def _query_dataset_query(self, filters):
query = DatasetDao.query.order_by(DatasetDao.updated)
for f in filters:
query = self._filter_service.apply_filter(f, query, DatasetDao,
[dataset_schema()])
return query
