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events.py
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events.py
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from abc import (
ABC,
abstractmethod,
)
from enum import Enum
import itertools
from typing import (
TYPE_CHECKING,
Any,
Collection,
Dict,
Iterable,
List,
Optional,
Sequence,
Tuple,
Union,
cast,
)
from eth_abi import (
grammar,
)
from eth_abi.codec import (
ABICodec,
)
from eth_typing import (
ChecksumAddress,
HexStr,
TypeStr,
)
from eth_utils import (
encode_hex,
event_abi_to_log_topic,
is_list_like,
keccak,
to_bytes,
to_dict,
to_hex,
to_tuple,
)
from eth_utils.curried import (
apply_formatter_if,
)
from eth_utils.toolz import (
complement,
compose,
cons,
curry,
valfilter,
)
import web3
from web3._utils.abi import (
exclude_indexed_event_inputs,
get_abi_input_names,
get_indexed_event_inputs,
map_abi_data,
normalize_event_input_types,
)
from web3._utils.encoding import (
encode_single_packed,
hexstr_if_str,
)
from web3._utils.normalizers import (
BASE_RETURN_NORMALIZERS,
)
from web3.datastructures import (
AttributeDict,
)
from web3.exceptions import (
InvalidEventABI,
LogTopicError,
MismatchedABI,
)
from web3.types import (
ABIEvent,
ABIEventParams,
BlockIdentifier,
EventData,
FilterParams,
LogReceipt,
)
if TYPE_CHECKING:
from web3 import Web3 # noqa: F401
from web3._utils.filters import ( # noqa: F401
LogFilter,
)
def construct_event_topic_set(
event_abi: ABIEvent, abi_codec: ABICodec, arguments: Union[Sequence[Any], Dict[str, Any]]=None
) -> List[HexStr]:
if arguments is None:
arguments = {}
if isinstance(arguments, (list, tuple)):
if len(arguments) != len(event_abi['inputs']):
raise ValueError(
"When passing an argument list, the number of arguments must "
"match the event constructor."
)
arguments = {
arg['name']: [arg_value]
for arg, arg_value
in zip(event_abi['inputs'], arguments)
}
normalized_args = {
key: value if is_list_like(value) else [value]
# type ignored b/c arguments is always a dict at this point
for key, value in arguments.items() # type: ignore
}
# typed dict cannot be used w/ a normal Dict
# https://github.com/python/mypy/issues/4976
event_topic = encode_hex(event_abi_to_log_topic(event_abi)) # type: ignore
indexed_args = get_indexed_event_inputs(event_abi)
zipped_abi_and_args = [
(arg, normalized_args.get(arg['name'], [None]))
for arg in indexed_args
]
encoded_args = [
[
None if option is None else encode_hex(abi_codec.encode_single(arg['type'], option))
for option in arg_options]
for arg, arg_options in zipped_abi_and_args
]
topics = list(normalize_topic_list([event_topic] + encoded_args)) # type: ignore
return topics
def construct_event_data_set(
event_abi: ABIEvent, abi_codec: ABICodec, arguments: Union[Sequence[Any], Dict[str, Any]]=None
) -> List[List[Optional[HexStr]]]:
if arguments is None:
arguments = {}
if isinstance(arguments, (list, tuple)):
if len(arguments) != len(event_abi['inputs']):
raise ValueError(
"When passing an argument list, the number of arguments must "
"match the event constructor."
)
arguments = {
arg['name']: [arg_value]
for arg, arg_value
in zip(event_abi['inputs'], arguments)
}
normalized_args = {
key: value if is_list_like(value) else [value]
# type ignored b/c at this point arguments is always a dict
for key, value in arguments.items() # type: ignore
}
non_indexed_args = exclude_indexed_event_inputs(event_abi)
zipped_abi_and_args = [
(arg, normalized_args.get(arg['name'], [None]))
for arg in non_indexed_args
]
encoded_args = [
[
None if option is None else encode_hex(abi_codec.encode_single(arg['type'], option))
for option in arg_options]
for arg, arg_options in zipped_abi_and_args
]
data = [
list(permutation)
if any(value is not None for value in permutation)
else []
for permutation in itertools.product(*encoded_args)
]
return data
def is_dynamic_sized_type(type_str: TypeStr) -> bool:
abi_type = grammar.parse(type_str)
return abi_type.is_dynamic
@to_tuple
def get_event_abi_types_for_decoding(event_inputs: Sequence[ABIEventParams]) -> Iterable[TypeStr]:
"""
Event logs use the `keccak(value)` for indexed inputs of type `bytes` or
`string`. Because of this we need to modify the types so that we can
decode the log entries using the correct types.
"""
for input_abi in event_inputs:
if input_abi['indexed'] and is_dynamic_sized_type(input_abi['type']):
yield 'bytes32'
else:
yield input_abi['type']
@curry
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))
@to_tuple
def pop_singlets(seq: Sequence[Any]) -> Iterable[Any]:
yield from (i[0] if is_list_like(i) and len(i) == 1 else i for i in seq)
@curry
def remove_trailing_from_seq(seq: Sequence[Any], remove_value: Any=None) -> Sequence[Any]:
index = len(seq)
while index > 0 and seq[index - 1] == remove_value:
index -= 1
return seq[:index]
normalize_topic_list = compose(
remove_trailing_from_seq(remove_value=None),
pop_singlets,)
def is_indexed(arg: Any) -> bool:
if isinstance(arg, TopicArgumentFilter) is True:
return True
return False
is_not_indexed = complement(is_indexed)
class EventFilterBuilder:
formatter = None
_fromBlock = None
_toBlock = None
_address = None
_immutable = False
def __init__(
self, event_abi: ABIEvent, abi_codec: ABICodec, formatter: EventData=None
) -> None:
self.event_abi = event_abi
self.abi_codec = abi_codec
self.formatter = formatter
self.event_topic = initialize_event_topics(self.event_abi)
self.args = AttributeDict(
_build_argument_filters_from_event_abi(event_abi, abi_codec))
self._ordered_arg_names = tuple(arg['name'] for arg in event_abi['inputs'])
@property
def fromBlock(self) -> BlockIdentifier:
return self._fromBlock
@fromBlock.setter
def fromBlock(self, value: BlockIdentifier) -> None:
if self._fromBlock is None and not self._immutable:
self._fromBlock = value
else:
raise ValueError(
"fromBlock is already set to {0}. "
"Resetting filter parameters is not permitted".format(self._fromBlock))
@property
def toBlock(self) -> BlockIdentifier:
return self._toBlock
@toBlock.setter
def toBlock(self, value: BlockIdentifier) -> None:
if self._toBlock is None and not self._immutable:
self._toBlock = value
else:
raise ValueError(
"toBlock is already set to {0}. "
"Resetting filter parameters is not permitted".format(self._toBlock))
@property
def address(self) -> ChecksumAddress:
return self._address
@address.setter
def address(self, value: ChecksumAddress) -> None:
if self._address is None and not self._immutable:
self._address = value
else:
raise ValueError(
"address is already set to {0}. "
"Resetting filter parameters is not permitted".format(self.address))
@property
def ordered_args(self) -> Tuple[Any, ...]:
return tuple(map(self.args.__getitem__, self._ordered_arg_names))
@property # type: ignore
@to_tuple
def indexed_args(self) -> Tuple[Any, ...]:
return tuple(filter(is_indexed, self.ordered_args))
@property # type: ignore
@to_tuple
def data_args(self) -> Tuple[Any, ...]:
return tuple(filter(is_not_indexed, self.ordered_args))
@property
def topics(self) -> List[HexStr]:
arg_topics = tuple(arg.match_values for arg in self.indexed_args)
return normalize_topic_list(cons(to_hex(self.event_topic), arg_topics))
@property
def data_argument_values(self) -> Tuple[Any, ...]:
if self.data_args is not None:
return tuple(arg.match_values for arg in self.data_args)
else:
return (None,)
@property
def filter_params(self) -> FilterParams:
params = {
"topics": self.topics,
"fromBlock": self.fromBlock,
"toBlock": self.toBlock,
"address": self.address
}
return valfilter(lambda x: x is not None, params)
def deploy(self, w3: "Web3") -> "LogFilter":
if not isinstance(w3, web3.Web3):
raise ValueError("Invalid web3 argument: got: {0}".format(repr(w3)))
for arg in self.args.values():
arg._immutable = True
self._immutable = True
log_filter = cast("LogFilter", w3.eth.filter(self.filter_params))
log_filter.filter_params = self.filter_params
log_filter.set_data_filters(self.data_argument_values)
log_filter.builder = self
if self.formatter is not None:
log_filter.log_entry_formatter = self.formatter
return log_filter
def initialize_event_topics(event_abi: ABIEvent) -> Union[bytes, List[Any]]:
if event_abi['anonymous'] is False:
# https://github.com/python/mypy/issues/4976
return event_abi_to_log_topic(event_abi) # type: ignore
else:
return list()
@to_dict
def _build_argument_filters_from_event_abi(
event_abi: ABIEvent, abi_codec: ABICodec
) -> Iterable[Tuple[str, 'BaseArgumentFilter']]:
for item in event_abi['inputs']:
key = item['name']
value: 'BaseArgumentFilter'
if item['indexed'] is True:
value = TopicArgumentFilter(abi_codec=abi_codec, arg_type=item['type'])
else:
value = DataArgumentFilter(arg_type=item['type'])
yield key, value
array_to_tuple = apply_formatter_if(is_list_like, tuple)
@to_tuple
def _normalize_match_values(match_values: Collection[Any]) -> Iterable[Any]:
for value in match_values:
yield array_to_tuple(value)
class BaseArgumentFilter(ABC):
_match_values: Tuple[Any, ...] = None
_immutable = False
def __init__(self, arg_type: TypeStr) -> None:
self.arg_type = arg_type
def match_single(self, value: Any) -> None:
if self._immutable:
raise ValueError("Setting values is forbidden after filter is deployed.")
if self._match_values is None:
self._match_values = _normalize_match_values((value,))
else:
raise ValueError("An argument match value/s has already been set.")
def match_any(self, *values: Collection[Any]) -> None:
if self._immutable:
raise ValueError("Setting values is forbidden after filter is deployed.")
if self._match_values is None:
self._match_values = _normalize_match_values(values)
else:
raise ValueError("An argument match value/s has already been set.")
@property
@abstractmethod
def match_values(self) -> None:
pass
class DataArgumentFilter(BaseArgumentFilter):
# type ignore b/c conflict with BaseArgumentFilter.match_values type
@property
def match_values(self) -> Tuple[TypeStr, Tuple[Any, ...]]: # type: ignore
return (self.arg_type, self._match_values)
class TopicArgumentFilter(BaseArgumentFilter):
def __init__(self, arg_type: TypeStr, abi_codec: ABICodec) -> None:
self.abi_codec = abi_codec
self.arg_type = arg_type
@to_tuple
def _get_match_values(self) -> Iterable[HexStr]:
yield from (self._encode(value) for value in self._match_values)
# type ignore b/c conflict with BaseArgumentFilter.match_values type
@property
def match_values(self) -> Optional[Tuple[HexStr, ...]]: # type: ignore
if self._match_values is not None:
return self._get_match_values()
else:
return None
def _encode(self, value: Any) -> HexStr:
if is_dynamic_sized_type(self.arg_type):
return to_hex(keccak(encode_single_packed(self.arg_type, value)))
else:
return to_hex(self.abi_codec.encode_single(self.arg_type, value))
class EventLogErrorFlags(Enum):
Discard = 'discard'
Ignore = 'ignore'
Strict = 'strict'
Warn = 'warn'
@classmethod
def flag_options(self) -> List[str]:
return [key.upper() for key in self.__members__.keys()]