Source code for langchain.output_parsers.fix

from __future__ import annotations

from typing import Annotated, Any, TypeVar, Union

from langchain_core.exceptions import OutputParserException
from langchain_core.output_parsers import BaseOutputParser, StrOutputParser
from langchain_core.prompts import BasePromptTemplate
from langchain_core.runnables import Runnable, RunnableSerializable
from pydantic import SkipValidation
from typing_extensions import TypedDict

from langchain.output_parsers.prompts import NAIVE_FIX_PROMPT

T = TypeVar("T")




class OutputFixingParserRetryChainInput(TypedDict, total=False):
    instructions: str
    completion: str
    error: str





class OutputFixingParser(BaseOutputParser[T]):
    """Wrap a parser and try to fix parsing errors."""

    @classmethod
    def is_lc_serializable(cls) -> bool:
        return True

    parser: Annotated[BaseOutputParser[T], SkipValidation()]
    """The parser to use to parse the output."""
    # Should be an LLMChain but we want to avoid top-level imports from langchain.chains
    retry_chain: Union[
        RunnableSerializable[OutputFixingParserRetryChainInput, str], Any
    ]
    """The RunnableSerializable to use to retry the completion (Legacy: LLMChain)."""
    max_retries: int = 1
    """The maximum number of times to retry the parse."""
    legacy: bool = True
    """Whether to use the run or arun method of the retry_chain."""



    @classmethod
    def from_llm(
        cls,
        llm: Runnable,
        parser: BaseOutputParser[T],
        prompt: BasePromptTemplate = NAIVE_FIX_PROMPT,
        max_retries: int = 1,
    ) -> OutputFixingParser[T]:
        """Create an OutputFixingParser from a language model and a parser.

        Args:
            llm: llm to use for fixing
            parser: parser to use for parsing
            prompt: prompt to use for fixing
            max_retries: Maximum number of retries to parse.

        Returns:
            OutputFixingParser
        """
        chain = prompt | llm | StrOutputParser()
        return cls(parser=parser, retry_chain=chain, max_retries=max_retries)




    def parse(self, completion: str) -> T:
        retries = 0

        while retries <= self.max_retries:
            try:
                return self.parser.parse(completion)
            except OutputParserException as e:
                if retries == self.max_retries:
                    raise e
                else:
                    retries += 1
                    if self.legacy and hasattr(self.retry_chain, "run"):
                        completion = self.retry_chain.run(
                            instructions=self.parser.get_format_instructions(),
                            completion=completion,
                            error=repr(e),
                        )
                    else:
                        try:
                            completion = self.retry_chain.invoke(
                                dict(
                                    instructions=self.parser.get_format_instructions(),
                                    completion=completion,
                                    error=repr(e),
                                )
                            )
                        except (NotImplementedError, AttributeError):
                            # Case: self.parser does not have get_format_instructions
                            completion = self.retry_chain.invoke(
                                dict(
                                    completion=completion,
                                    error=repr(e),
                                )
                            )

        raise OutputParserException("Failed to parse")




    async def aparse(self, completion: str) -> T:
        retries = 0

        while retries <= self.max_retries:
            try:
                return await self.parser.aparse(completion)
            except OutputParserException as e:
                if retries == self.max_retries:
                    raise e
                else:
                    retries += 1
                    if self.legacy and hasattr(self.retry_chain, "arun"):
                        completion = await self.retry_chain.arun(
                            instructions=self.parser.get_format_instructions(),
                            completion=completion,
                            error=repr(e),
                        )
                    else:
                        try:
                            completion = await self.retry_chain.ainvoke(
                                dict(
                                    instructions=self.parser.get_format_instructions(),
                                    completion=completion,
                                    error=repr(e),
                                )
                            )
                        except (NotImplementedError, AttributeError):
                            # Case: self.parser does not have get_format_instructions
                            completion = await self.retry_chain.ainvoke(
                                dict(
                                    completion=completion,
                                    error=repr(e),
                                )
                            )

        raise OutputParserException("Failed to parse")




    def get_format_instructions(self) -> str:
        return self.parser.get_format_instructions()


    @property
    def _type(self) -> str:
        return "output_fixing"

    @property
    def OutputType(self) -> type[T]:
        return self.parser.OutputType