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))