Source code for langchain_core.output_parsers.pydantic

import json
from typing import Generic, List, Type, TypeVar, Union

import pydantic  # pydantic: ignore

from langchain_core.exceptions import OutputParserException
from langchain_core.output_parsers import JsonOutputParser
from langchain_core.outputs import Generation
from langchain_core.utils.pydantic import PYDANTIC_MAJOR_VERSION

if PYDANTIC_MAJOR_VERSION < 2:
    PydanticBaseModel = pydantic.BaseModel

else:
    from pydantic.v1 import BaseModel  # pydantic: ignore

    # Union type needs to be last assignment to PydanticBaseModel to make mypy happy.
    PydanticBaseModel = Union[BaseModel, pydantic.BaseModel]  # type: ignore

TBaseModel = TypeVar("TBaseModel", bound=PydanticBaseModel)


class PydanticOutputParser(JsonOutputParser, Generic[TBaseModel]):
    """使用pydantic模型解析输出。"""

    pydantic_object: Type[TBaseModel]  # type: ignore
    """要解析的pydantic模型。"""

    def _parse_obj(self, obj: dict) -> TBaseModel:
        if PYDANTIC_MAJOR_VERSION == 2:
            try:
                if issubclass(self.pydantic_object, pydantic.BaseModel):
                    return self.pydantic_object.model_validate(obj)
                elif issubclass(self.pydantic_object, pydantic.v1.BaseModel):
                    return self.pydantic_object.parse_obj(obj)
                else:
                    raise OutputParserException(
                        f"Unsupported model version for PydanticOutputParser: \
                            {self.pydantic_object.__class__}"
                    )
            except (pydantic.ValidationError, pydantic.v1.ValidationError) as e:
                raise self._parser_exception(e, obj)
        else:  # pydantic v1
            try:
                return self.pydantic_object.parse_obj(obj)
            except pydantic.ValidationError as e:
                raise self._parser_exception(e, obj)

    def _parser_exception(
        self, e: Exception, json_object: dict
    ) -> OutputParserException:
        json_string = json.dumps(json_object)
        name = self.pydantic_object.__name__
        msg = f"Failed to parse {name} from completion {json_string}. Got: {e}"
        return OutputParserException(msg, llm_output=json_string)

    def parse_result(
        self, result: List[Generation], *, partial: bool = False
    ) -> TBaseModel:
        json_object = super().parse_result(result)
        return self._parse_obj(json_object)

    def parse(self, text: str) -> TBaseModel:
        return super().parse(text)

    def get_format_instructions(self) -> str:
        # Copy schema to avoid altering original Pydantic schema.
        schema = {k: v for k, v in self.pydantic_object.schema().items()}

        # Remove extraneous fields.
        reduced_schema = schema
        if "title" in reduced_schema:
            del reduced_schema["title"]
        if "type" in reduced_schema:
            del reduced_schema["type"]
        # Ensure json in context is well-formed with double quotes.
        schema_str = json.dumps(reduced_schema)

        return _PYDANTIC_FORMAT_INSTRUCTIONS.format(schema=schema_str)

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

    @property
    def OutputType(self) -> Type[TBaseModel]:
        """返回pydantic模型。"""
        return self.pydantic_object


_PYDANTIC_FORMAT_INSTRUCTIONS = """The output should be formatted as a JSON instance that conforms to the JSON schema below.

As an example, for the schema {{"properties": {{"foo": {{"title": "Foo", "description": "a list of strings", "type": "array", "items": {{"type": "string"}}}}}}, "required": ["foo"]}}
the object {{"foo": ["bar", "baz"]}} is a well-formatted instance of the schema. The object {{"properties": {{"foo": ["bar", "baz"]}}}} is not well-formatted.

Here is the output schema:
```
{schema}
```"""  # noqa: E501