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#

# Source code for langchain.chains.moderation

    """Pass input through a moderation endpoint."""
    from typing import Any, Dict, List, Optional

    from pydantic import root_validator

    from langchain.chains.base import Chain
    from langchain.utils import get_from_dict_or_env

    class OpenAIModerationChain(Chain):
        """Pass input through a moderation endpoint.

        To use, you should have the ``openai`` python package installed, and the
        environment variable ``OPENAI_API_KEY`` set with your API key.

        Any parameters that are valid to be passed to the openai.create call can be passed
        in, even if not explicitly saved on this class.

        Example:
            .. code-block:: python

                from langchain.chains import OpenAIModerationChain
                moderation = OpenAIModerationChain()
        """

        client: Any  #: :meta private:
        model_name: Optional[str] = None
        """Moderation model name to use."""
        error: bool = False
        """Whether or not to error if bad content was found."""
        input_key: str = "input"  #: :meta private:
        output_key: str = "output"  #: :meta private:
        openai_api_key: Optional[str] = None
        openai_organization: Optional[str] = None

        @root_validator()
        def validate_environment(cls, values: Dict) -> Dict:
            """Validate that api key and python package exists in environment."""
            openai_api_key = get_from_dict_or_env(
                values, "openai_api_key", "OPENAI_API_KEY"
            )
            openai_organization = get_from_dict_or_env(
                values,
                "openai_organization",
                "OPENAI_ORGANIZATION",
                default="",
            )
            try:
                import openai

                openai.api_key = openai_api_key
                if openai_organization:
                    openai.organization = openai_organization
                values["client"] = openai.Moderation
            except ImportError:
                raise ValueError(
                    "Could not import openai python package. "
                    "Please install it with `pip install openai`."
                )
            return values

        @property
        def input_keys(self) -> List[str]:
            """Expect input key.

            :meta private:
            """
            return [self.input_key]

        @property
        def output_keys(self) -> List[str]:
            """Return output key.

            :meta private:
            """
            return [self.output_key]

        def _moderate(self, text: str, results: dict) -> str:
            if results["flagged"]:
                error_str = "Text was found that violates OpenAI's content policy."
                if self.error:
                    raise ValueError(error_str)
                else:
                    return error_str
            return text

        def _call(self, inputs: Dict[str, str]) -> Dict[str, str]:
            text = inputs[self.input_key]
            results = self.client.create(text)
            output = self._moderate(text, results["results"][0])
            return {self.output_key: output}