def __create_dataset_collection(
self,
trans,
collection_type,
element_identifiers=None,
elements=None,
):
if element_identifiers is None and elements is None:
raise RequestParameterInvalidException(
ERROR_INVALID_ELEMENTS_SPECIFICATION)
if not collection_type:
raise RequestParameterInvalidException(ERROR_NO_COLLECTION_TYPE)
collection_type_description = self.collection_type_descriptions.for_collection_type(
collection_type)
# If we have elements, this is an internal request, don't need to load
# objects from identifiers.
if elements is None:
if collection_type_description.has_subcollections():
# Nested collection - recursively create collections and update identifiers.
self.__recursively_create_collections(trans,
element_identifiers)
elements = self.__load_elements(trans, element_identifiers)
# else if elements is set, it better be an ordered dict!
if elements is not self.ELEMENTS_UNINITIALIZED:
type_plugin = collection_type_description.rank_type_plugin()
dataset_collection = builder.build_collection(
type_plugin, elements)
else:
dataset_collection = model.DatasetCollection(populated=False)
dataset_collection.collection_type = collection_type
return dataset_collection
def create_dataset_collection(
self,
trans,
collection_type,
element_identifiers=None,
elements=None,
):
if element_identifiers is None and elements is None:
raise RequestParameterInvalidException( ERROR_INVALID_ELEMENTS_SPECIFICATION )
if not collection_type:
raise RequestParameterInvalidException( ERROR_NO_COLLECTION_TYPE )
collection_type_description = self.collection_type_descriptions.for_collection_type( collection_type )
# If we have elements, this is an internal request, don't need to load
# objects from identifiers.
if elements is None:
if collection_type_description.has_subcollections( ):
# Nested collection - recursively create collections and update identifiers.
self.__recursively_create_collections( trans, element_identifiers )
elements = self.__load_elements( trans, element_identifiers )
# else if elements is set, it better be an ordered dict!
if elements is not self.ELEMENTS_UNINITIALIZED:
type_plugin = collection_type_description.rank_type_plugin()
dataset_collection = builder.build_collection( type_plugin, elements )
else:
dataset_collection = model.DatasetCollection( populated=False )
dataset_collection.collection_type = collection_type
return dataset_collection
def create_dataset_collection(self, trans, collection_type, element_identifiers=None, elements=None,
hide_source_items=None, copy_elements=False):
# Make sure at least one of these is None.
assert element_identifiers is None or elements is None
if element_identifiers is None and elements is None:
raise RequestParameterInvalidException(ERROR_INVALID_ELEMENTS_SPECIFICATION)
if not collection_type:
raise RequestParameterInvalidException(ERROR_NO_COLLECTION_TYPE)
collection_type_description = self.collection_type_descriptions.for_collection_type(collection_type)
has_subcollections = collection_type_description.has_subcollections()
# If we have elements, this is an internal request, don't need to load
# objects from identifiers.
if elements is None:
elements = self._element_identifiers_to_elements(trans,
collection_type_description=collection_type_description,
element_identifiers=element_identifiers,
hide_source_items=hide_source_items,
copy_elements=copy_elements)
else:
if has_subcollections:
# Nested collection - recursively create collections as needed.
self.__recursively_create_collections_for_elements(trans, elements, hide_source_items, copy_elements=copy_elements)
# else if elements is set, it better be an ordered dict!
if elements is not self.ELEMENTS_UNINITIALIZED:
type_plugin = collection_type_description.rank_type_plugin()
dataset_collection = builder.build_collection(type_plugin, elements)
else:
dataset_collection = model.DatasetCollection(populated=False)
dataset_collection.collection_type = collection_type
return dataset_collection
def create_dataset_collection(self, trans, collection_type, element_identifiers=None, elements=None,
hide_source_items=None):
if element_identifiers is None and elements is None:
raise RequestParameterInvalidException(ERROR_INVALID_ELEMENTS_SPECIFICATION)
if not collection_type:
raise RequestParameterInvalidException(ERROR_NO_COLLECTION_TYPE)
collection_type_description = self.collection_type_descriptions.for_collection_type(collection_type)
# If we have elements, this is an internal request, don't need to load
# objects from identifiers.
if elements is None:
if collection_type_description.has_subcollections():
# Nested collection - recursively create collections and update identifiers.
self.__recursively_create_collections(trans, element_identifiers)
new_collection = False
for element_identifier in element_identifiers:
if element_identifier.get("src") == "new_collection" and element_identifier.get('collection_type') == '':
new_collection = True
elements = self.__load_elements(trans, element_identifier['element_identifiers'])
if not new_collection:
elements = self.__load_elements(trans, element_identifiers)
# else if elements is set, it better be an ordered dict!
if elements is not self.ELEMENTS_UNINITIALIZED:
type_plugin = collection_type_description.rank_type_plugin()
dataset_collection = builder.build_collection(type_plugin, elements)
if hide_source_items:
log.debug("Hiding source items during dataset collection creation")
for dataset in dataset_collection.dataset_instances:
dataset.visible = False
else:
dataset_collection = model.DatasetCollection(populated=False)
dataset_collection.collection_type = collection_type
return dataset_collection
def create_dataset_collection(self, trans, collection_type, element_identifiers=None, elements=None,
hide_source_items=None):
if element_identifiers is None and elements is None:
raise RequestParameterInvalidException(ERROR_INVALID_ELEMENTS_SPECIFICATION)
if not collection_type:
raise RequestParameterInvalidException(ERROR_NO_COLLECTION_TYPE)
collection_type_description = self.collection_type_descriptions.for_collection_type(collection_type)
# If we have elements, this is an internal request, don't need to load
# objects from identifiers.
if elements is None:
if collection_type_description.has_subcollections():
# Nested collection - recursively create collections and update identifiers.
self.__recursively_create_collections(trans, element_identifiers)
new_collection = False
for element_identifier in element_identifiers:
if element_identifier.get("src") == "new_collection" and element_identifier.get('collection_type') == '':
new_collection = True
elements = self.__load_elements(trans, element_identifier['element_identifiers'])
if not new_collection:
elements = self.__load_elements(trans, element_identifiers)
# else if elements is set, it better be an ordered dict!
if elements is not self.ELEMENTS_UNINITIALIZED:
type_plugin = collection_type_description.rank_type_plugin()
dataset_collection = builder.build_collection(type_plugin, elements)
if hide_source_items:
log.debug("Hiding source items during dataset collection creation")
for dataset in dataset_collection.dataset_instances:
dataset.visible = False
else:
dataset_collection = model.DatasetCollection(populated=False)
dataset_collection.collection_type = collection_type
return dataset_collection
def create_dataset_collection(self, trans, collection_type, element_identifiers=None, elements=None,
hide_source_items=None):
# Make sure at least one of these is None.
assert element_identifiers is None or elements is None
if element_identifiers is None and elements is None:
raise RequestParameterInvalidException(ERROR_INVALID_ELEMENTS_SPECIFICATION)
if not collection_type:
raise RequestParameterInvalidException(ERROR_NO_COLLECTION_TYPE)
collection_type_description = self.collection_type_descriptions.for_collection_type(collection_type)
# If we have elements, this is an internal request, don't need to load
# objects from identifiers.
if elements is None:
elements = self._element_identifiers_to_elements(trans, collection_type_description, element_identifiers)
# else if elements is set, it better be an ordered dict!
if elements is not self.ELEMENTS_UNINITIALIZED:
type_plugin = collection_type_description.rank_type_plugin()
dataset_collection = builder.build_collection(type_plugin, elements)
if hide_source_items:
log.debug("Hiding source items during dataset collection creation")
for dataset in dataset_collection.dataset_instances:
dataset.visible = False
else:
dataset_collection = model.DatasetCollection(populated=False)
dataset_collection.collection_type = collection_type
return dataset_collection
def create_dataset_collection(self,
trans,
collection_type,
element_identifiers=None,
elements=None,
hide_source_items=None,
copy_elements=False):
# Make sure at least one of these is None.
assert element_identifiers is None or elements is None
if element_identifiers is None and elements is None:
raise RequestParameterInvalidException(
ERROR_INVALID_ELEMENTS_SPECIFICATION)
if not collection_type:
raise RequestParameterInvalidException(ERROR_NO_COLLECTION_TYPE)
collection_type_description = self.collection_type_descriptions.for_collection_type(
collection_type)
has_subcollections = collection_type_description.has_subcollections()
# If we have elements, this is an internal request, don't need to load
# objects from identifiers.
if elements is None:
elements = self._element_identifiers_to_elements(
trans,
collection_type_description=collection_type_description,
element_identifiers=element_identifiers,
hide_source_items=hide_source_items,
copy_elements=copy_elements)
else:
if has_subcollections:
# Nested collection - recursively create collections as needed.
self.__recursively_create_collections_for_elements(
trans,
elements,
hide_source_items,
copy_elements=copy_elements)
# else if elements is set, it better be an ordered dict!
if elements is not self.ELEMENTS_UNINITIALIZED:
type_plugin = collection_type_description.rank_type_plugin()
dataset_collection = builder.build_collection(
type_plugin, elements)
else:
dataset_collection = model.DatasetCollection(populated=False)
dataset_collection.collection_type = collection_type
return dataset_collection
