def _decode_transaction(self, data: Union[bytes, str]) -> Tuple[str, List[Tuple[str, str, Any]]]: """ Decode tx data :param data: Tx data as `hex string` or `bytes` :return: Tuple with the `function name` and a List of sorted tuples with the `name` of the argument, `type` and `value` :raises: CannotDecode if data cannot be decoded. You should catch this exception when using this function :raises: UnexpectedProblemDecoding if there's an unexpected problem decoding (it shouldn't happen) """ if not data: raise CannotDecode(data) data = HexBytes(data) selector, params = data[:4], data[4:] if selector not in self.supported_fn_selectors: raise CannotDecode(data.hex()) try: contract_fn = self.supported_fn_selectors[selector] names = get_abi_input_names(contract_fn.abi) types = get_abi_input_types(contract_fn.abi) decoded = self.dummy_w3.codec.decode_abi(types, cast(HexBytes, params)) normalized = map_abi_data(BASE_RETURN_NORMALIZERS, types, decoded) values = map(self._parse_decoded_arguments, normalized) except ValueError as exc: raise UnexpectedProblemDecoding from exc return contract_fn.fn_name, list(zip(names, types, values))
def decode_log(log_data, events): topic_inputs = get_indexed_event_inputs(log_data['abi']) topic_types = get_abi_input_types({'inputs': topic_inputs}) topic_names = get_abi_input_names({'inputs': topic_inputs}) topic_data = [HexBytes(topic) for topic in log_data['topics'][1:]] decoded_topics = [ decode_single(topic_type, topic_data) for topic_type, topic_data in zip(topic_types, topic_data) ] data_inputs = exclude_indexed_event_inputs(log_data['abi']) data_types = get_abi_input_types({'inputs': data_inputs}) data_names = get_abi_input_names({'inputs': data_inputs}) decoded_data = decode_abi(data_types, HexBytes(log_data['data'])) return dict( itertools.chain( zip(topic_names, decoded_topics), zip(data_names, decoded_data), ))
def decode_function_input(self, data): data = HexBytes(data) selector, params = data[:4], data[4:] func = self.get_function_by_selector(selector) names = get_abi_input_names(func.abi) types = get_abi_input_types(func.abi) decoded = self.web3.codec.decode_abi(types, params) normalized = map_abi_data(BASE_RETURN_NORMALIZERS, types, decoded) return func, dict(zip(names, normalized))
def decode_func_with_fallback(abis_to_try, data): for abi in abis_to_try: try: selector, params = data[:4], data[4:] names = get_abi_input_names(abi) types = get_abi_input_types(abi) decoded = w3.codec.decode_abi(types, params) normalized = map_abi_data(BASE_RETURN_NORMALIZERS, types, decoded) return abi['name'], dict(zip(names, normalized)) except DecodingError: logger.debug('trying fallback fn input decoder') raise DecodingError('could not decode fn input')
def _decode_data( self, data: Union[bytes, str], address: Optional[ChecksumAddress] = None ) -> Tuple[str, List[Tuple[str, str, Any]]]: """ Decode tx data :param data: Tx data as `hex string` or `bytes` :param address: contract address in case of ABI colliding :return: Tuple with the `function name` and a List of sorted tuples with the `name` of the argument, `type` and `value` :raises: CannotDecode if data cannot be decoded. You should catch this exception when using this function :raises: UnexpectedProblemDecoding if there's an unexpected problem decoding (it shouldn't happen) """ if not data: raise CannotDecode(data) data = HexBytes(data) params = data[4:] fn_abi = self.get_abi_function(data, address) if not fn_abi: raise CannotDecode(data.hex()) try: names = get_abi_input_names(fn_abi) types = get_abi_input_types(fn_abi) decoded = self.dummy_w3.codec.decode_abi(types, cast(HexBytes, params)) normalized = map_abi_data(BASE_RETURN_NORMALIZERS, types, decoded) values = map(self._parse_decoded_arguments, normalized) except (ValueError, DecodingError) as exc: logger.warning("Cannot decode %s", data.hex()) raise UnexpectedProblemDecoding(data) from exc return fn_abi["name"], list(zip(names, types, values))
def get_event_data(abi_codec: ABICodec, event_abi: ABIEvent, log_entry: LogReceipt) -> EventData: """ Given an event ABI and a log entry for that event, return the decoded event data """ if event_abi['anonymous']: log_topics = log_entry['topics'] elif not log_entry['topics']: raise MismatchedABI("Expected non-anonymous event to have 1 or more topics") # type ignored b/c event_abi_to_log_topic(event_abi: Dict[str, Any]) elif event_abi_to_log_topic(event_abi) != log_entry['topics'][0]: # type: ignore raise MismatchedABI("The event signature did not match the provided ABI") else: log_topics = log_entry['topics'][1:] log_topics_abi = get_indexed_event_inputs(event_abi) log_topic_normalized_inputs = normalize_event_input_types(log_topics_abi) log_topic_types = get_event_abi_types_for_decoding(log_topic_normalized_inputs) log_topic_names = get_abi_input_names(ABIEvent({'inputs': log_topics_abi})) if len(log_topics) != len(log_topic_types): raise LogTopicError("Expected {0} log topics. Got {1}".format( len(log_topic_types), len(log_topics), )) log_data = hexstr_if_str(to_bytes, log_entry['data']) log_data_abi = exclude_indexed_event_inputs(event_abi) log_data_normalized_inputs = normalize_event_input_types(log_data_abi) log_data_types = get_event_abi_types_for_decoding(log_data_normalized_inputs) log_data_names = get_abi_input_names(ABIEvent({'inputs': log_data_abi})) # sanity check that there are not name intersections between the topic # names and the data argument names. duplicate_names = set(log_topic_names).intersection(log_data_names) if duplicate_names: raise InvalidEventABI( "The following argument names are duplicated " f"between event inputs: '{', '.join(duplicate_names)}'" ) decoded_log_data = abi_codec.decode_abi(log_data_types, log_data) normalized_log_data = map_abi_data( BASE_RETURN_NORMALIZERS, log_data_types, decoded_log_data ) decoded_topic_data = [ abi_codec.decode_single(topic_type, topic_data) for topic_type, topic_data in zip(log_topic_types, log_topics) ] normalized_topic_data = map_abi_data( BASE_RETURN_NORMALIZERS, log_topic_types, decoded_topic_data ) event_args = dict(itertools.chain( zip(log_topic_names, normalized_topic_data), zip(log_data_names, normalized_log_data), )) event_data = { 'args': event_args, 'event': event_abi['name'], 'logIndex': log_entry['logIndex'], 'transactionIndex': log_entry['transactionIndex'], 'transactionHash': log_entry['transactionHash'], 'address': log_entry['address'], 'blockHash': log_entry['blockHash'], 'blockNumber': log_entry['blockNumber'], } return cast(EventData, AttributeDict.recursive(event_data))