def retrieve(self, dataset_id="", query=None, delivery_format=None, module="", cls="", kwargs=None):
"""
Retrieves a dataset.
@param dataset_id Dataset identifier
@param query Query parameters (start_time, end_time, stride_time, parameters)
@param delivery_format The stream definition identifier for the outgoing granule (stream_defintinition_id)
@param module Module to chain a transform into
@param cls Class of the transform
@param kwargs Keyword Arguments to pass into the transform.
"""
if query is None:
query = {}
if delivery_format is None:
delivery_format = {}
validate_is_instance(query, dict, "Query was improperly formatted.")
validate_true(dataset_id, "No dataset provided")
replay_instance = ReplayProcess()
replay_instance.dataset = self.clients.dataset_management.read_dataset(dataset_id)
replay_instance.dataset_id = dataset_id
replay_instance.start_time = query.get("start_time", None)
replay_instance.end_time = query.get("end_time", None)
replay_instance.stride_time = query.get("stride_time", None)
replay_instance.parameters = query.get("parameters", None)
replay_instance.tdoa = query.get("tdoa", None)
replay_instance.stream_def_id = delivery_format
replay_instance.container = self.container
if replay_instance.tdoa is not None:
validate_is_instance(replay_instance.tdoa, slice)
retrieve_data = replay_instance.execute_retrieve()
if module and cls:
return self._transform_data(retrieve_data, module, cls, kwargs or {})
return retrieve_data
