def test_hexstr_if_str_on_invalid_hex(val):
try:
is_hexstr = (is_hex(val) or val == '')
except ValueError:
is_hexstr = False
if not is_hexstr:
with pytest.raises(ValueError):
hexstr_if_str(Mock(), val)
def abi_bytes_to_hex(abi_type, data):
base, sub, arrlist = process_type(abi_type)
if base == 'bytes' and not arrlist:
bytes_data = hexstr_if_str(to_bytes, data)
if not sub:
return abi_type, to_hex(bytes_data)
else:
num_bytes = int(sub)
if len(bytes_data) <= num_bytes:
padded = bytes_data.ljust(num_bytes, b'\0')
return abi_type, to_hex(padded)
else:
raise ValueError(
"This value was expected to be at most %d bytes, but instead was %d: %r"
% ((num_bytes, len(bytes_data), data)))
def test_hexstr_if_str_curried():
converter = hexstr_if_str(to_hex)
assert converter(255) == '0xff'
def test_hexstr_if_str_passthrough(val):
to_type = Mock(return_value='zoot')
assert hexstr_if_str(to_type, val) == 'zoot'
assert to_type.call_args == ((val, ), {'hexstr': None})
def test_hexstr_if_str_on_valid_hex(val):
to_type = Mock(return_value='zoot')
assert hexstr_if_str(to_type, val) == 'zoot'
assert to_type.call_args == ((None, ), {'hexstr': val})
'platon_getUncleByBlockNumberAndIndex': compose(
apply_formatter_at_index(block_number_formatter, 0),
apply_formatter_at_index(integer_to_hex, 1),
),
'platon_getUncleByBlockHashAndIndex': apply_formatter_at_index(integer_to_hex, 1),
'platon_newFilter': apply_formatter_at_index(filter_params_formatter, 0),
'platon_getLogs': apply_formatter_at_index(filter_params_formatter, 0),
'platon_call': combine_argument_formatters(
transaction_param_formatter,
block_number_formatter,
),
'platon_estimateGas': apply_formatter_at_index(transaction_param_formatter, 0),
'platon_sendTransaction': apply_formatter_at_index(transaction_param_formatter, 0),
# personal
'personal_importRawKey': apply_formatter_at_index(
compose(remove_0x_prefix, hexstr_if_str(to_hex)),
0,
),
'personal_sign': apply_formatter_at_index(text_if_str(to_hex), 0),
'personal_ecRecover': apply_formatter_at_index(text_if_str(to_hex), 0),
'personal_sendTransaction': apply_formatter_at_index(transaction_param_formatter, 0),
# Snapshot and Revert
'evm_revert': apply_formatter_at_index(integer_to_hex, 0),
'trace_replayBlockTransactions': apply_formatter_at_index(block_number_formatter, 0),
'trace_block': apply_formatter_at_index(block_number_formatter, 0),
'trace_call': compose(
apply_formatter_at_index(transaction_param_formatter, 0),
apply_formatter_at_index(block_number_formatter, 2)
),
},
result_formatters={
def abi_int_to_hex(abi_type, data):
base, _sub, arrlist = process_type(abi_type)
if base == 'uint' and not arrlist:
return abi_type, hexstr_if_str(to_hex, data)
def abi_bytes_to_bytes(abi_type, data):
base, sub, arrlist = process_type(abi_type)
if base == 'bytes' and not arrlist:
return abi_type, hexstr_if_str(to_bytes, data)
def get_event_data(event_abi, log_entry):
"""
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")
elif event_abi_to_log_topic(event_abi) != log_entry['topics'][0]:
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({'inputs': log_topics_abi})
if len(log_topics) != len(log_topic_types):
raise ValueError("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({'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 ValueError(
"Invalid Event ABI: The following argument names are duplicated "
"between event inputs: '{0}'".format(', '.join(duplicate_names))
)
decoded_log_data = 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 = [
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 AttributeDict.recursive(event_data)
