50 lines
1.2 KiB
Python
50 lines
1.2 KiB
Python
from abc import ABC, abstractmethod
|
|
from typing import Dict, List, Optional, Type
|
|
|
|
from pydantic import BaseModel
|
|
|
|
from .classified_traces import Classification, DecodedCallTrace, Protocol
|
|
from .transfers import Transfer
|
|
|
|
|
|
class Classifier(ABC):
|
|
@staticmethod
|
|
@abstractmethod
|
|
def get_classification() -> Classification:
|
|
raise NotImplementedError()
|
|
|
|
|
|
class TransferClassifier(Classifier):
|
|
@staticmethod
|
|
def get_classification() -> Classification:
|
|
return Classification.transfer
|
|
|
|
@staticmethod
|
|
@abstractmethod
|
|
def get_transfer(trace: DecodedCallTrace) -> Transfer:
|
|
raise NotImplementedError()
|
|
|
|
|
|
class SwapClassifier(Classifier):
|
|
@staticmethod
|
|
def get_classification() -> Classification:
|
|
return Classification.swap
|
|
|
|
@staticmethod
|
|
@abstractmethod
|
|
def get_swap_recipient(trace: DecodedCallTrace) -> str:
|
|
raise NotImplementedError()
|
|
|
|
|
|
class LiquidationClassifier(Classifier):
|
|
@staticmethod
|
|
def get_classification() -> Classification:
|
|
return Classification.liquidate
|
|
|
|
|
|
class ClassifierSpec(BaseModel):
|
|
abi_name: str
|
|
protocol: Optional[Protocol] = None
|
|
valid_contract_addresses: Optional[List[str]] = None
|
|
classifiers: Dict[str, Type[Classifier]] = {}
|