def _respond(self, request, response_message_id, workspace): payload_decoder = PayloadDecoder(request.payload) source_code = payload_decoder.get_next_string() line = payload_decoder.get_next_int() column = payload_decoder.get_next_int() suggestions = workspace.auto_complete(source_code, line, column) data_frame = pandas.DataFrame(suggestions) data_bytes = workspace.serializer.data_frame_to_bytes(data_frame) return AbstractRequestHandler._create_response(request, response_message_id, response_payload=_create_byte_array_payload(data_bytes))
def _respond(self, request, response_message_id, workspace): payload_decoder = PayloadDecoder(request.payload) name = payload_decoder.get_next_string() start = payload_decoder.get_next_int() end = payload_decoder.get_next_int() data_frame = workspace.get_variable(name) if type(data_frame) != pandas.core.frame.DataFrame: raise TypeError("Expected pandas.DataFrame, got: " + str(type(data_frame)) + "\nPlease make sure your output_table is a pandas.DataFrame.") data_frame_chunk = data_frame[start:end + 1] data_bytes = workspace.serializer.data_frame_to_bytes(data_frame_chunk, start) return AbstractRequestHandler._create_response(request, response_message_id, response_payload=_create_byte_array_payload(data_bytes))