2023-12-15 17:33:54 +08:00

109 lines
3.4 KiB
Python

from abc import ABC
from typing import List, Dict, Any, Union
from knext.operator.base import BaseOp
from knext.operator.eval_result import EvalResult
from knext.operator.spg_record import SPGRecord
class ExtractOp(BaseOp, ABC):
"""Base class for all knowledge extract operators."""
def __init__(self, params: Dict[str, str] = None):
super().__init__(params)
def invoke(self, record: Dict[str, str]) -> List[SPGRecord]:
raise NotImplementedError(
f"{self.__class__.__name__} need to implement `eval` method."
)
@staticmethod
def _pre_process(*inputs):
return SPGRecord.from_dict(inputs[0]).properties,
@staticmethod
def _post_process(output) -> Dict[str, Any]:
if isinstance(output, EvalResult):
return output.to_dict()
if isinstance(output, tuple):
return EvalResult[List[SPGRecord]](*output[:3]).to_dict()
else:
return EvalResult[List[SPGRecord]](output).to_dict()
class LinkOp(BaseOp, ABC):
"""Base class for all entity link operators."""
def __init__(self, params: Dict[str, str] = None):
super().__init__(params)
def eval(self, property: str, record: SPGRecord) -> List[SPGRecord]:
raise NotImplementedError(
f"{self.__class__.__name__} need to implement `eval` method."
)
@staticmethod
def _pre_process(*inputs):
return inputs[0], SPGRecord.from_dict(inputs[1])
@staticmethod
def _post_process(output) -> Dict[str, Any]:
if isinstance(output, EvalResult):
return output.to_dict()
if isinstance(output, tuple):
return EvalResult[List[SPGRecord]](*output[:3]).to_dict()
else:
return EvalResult[List[SPGRecord]](output).to_dict()
class FuseOp(BaseOp, ABC):
"""Base class for all entity fuse operators."""
def __init__(self, params: Dict[str, str] = None):
super().__init__(params)
def eval(
self, source_record: SPGRecord, target_records: List[SPGRecord]
) -> List[SPGRecord]:
raise NotImplementedError(
f"{self.__class__.__name__} need to implement `eval` method."
)
@staticmethod
def _pre_process(*inputs):
return SPGRecord.from_dict(inputs[0]), [
SPGRecord.from_dict(input) for input in inputs[1]
]
@staticmethod
def _post_process(output) -> Dict[str, Any]:
if isinstance(output, EvalResult):
return output.to_dict()
if isinstance(output, tuple):
return EvalResult[List[SPGRecord]](*output[:3]).to_dict()
else:
return EvalResult[List[SPGRecord]](output).to_dict()
class PromptOp(BaseOp, ABC):
"""Base class for all prompt operators."""
template: str
def build_prompt(self, params: Dict[str, str]) -> str:
raise NotImplementedError(
f"{self.__class__.__name__} need to implement `build_prompt` method."
)
def parse_response(
self, response: str
) -> List[SPGRecord]:
raise NotImplementedError(
f"{self.__class__.__name__} need to implement `parse_response` method."
)
def build_params(self, record: Dict[str, str], response: str) -> List[Dict[str, str]]:
raise NotImplementedError(
f"{self.__class__.__name__} need to implement `build_placeholder` method."
)