dify-plugin-sdks/python/dify_plugin/interfaces/tool/__init__.py

from abc import ABC, abstractmethod
from collections.abc import Generator, Mapping
from typing import Any, Generic, Optional, TypeVar, final

from typing_extensions import deprecated
from werkzeug import Request

from dify_plugin.core.runtime import Session
from dify_plugin.entities.invoke_message import InvokeMessage
from dify_plugin.entities import ParameterOption
from dify_plugin.entities.provider_config import LogMetadata
from dify_plugin.entities.tool import ToolInvokeMessage, ToolParameter, ToolRuntime, ToolSelector
from dify_plugin.file.constants import DIFY_FILE_IDENTITY, DIFY_TOOL_SELECTOR_IDENTITY
from dify_plugin.file.entities import FileType
from dify_plugin.file.file import File

T = TypeVar("T", bound=InvokeMessage)


class ToolLike(ABC, Generic[T]):
    response_type: type[T]

    ############################################################
    #            For plugin implementation use only            #
    ############################################################

    def create_text_message(self, text: str) -> T:
        return self.response_type(
            type=InvokeMessage.MessageType.TEXT,
            message=InvokeMessage.TextMessage(text=text),
        )

    def create_json_message(self, json: Mapping | list) -> T:
        return self.response_type(
            type=InvokeMessage.MessageType.JSON,
            message=InvokeMessage.JsonMessage(json_object=json),
        )

    def create_image_message(self, image_url: str) -> T:
        """
        create an image message

        :param image: the url of the image
        :return: the image message
        """
        return self.response_type(
            type=InvokeMessage.MessageType.IMAGE,
            message=InvokeMessage.TextMessage(text=image_url),
        )

    def create_link_message(self, link: str) -> T:
        """
        create a link message

        :param link: the url of the link
        :return: the link message
        """
        return self.response_type(
            type=InvokeMessage.MessageType.LINK,
            message=InvokeMessage.TextMessage(text=link),
        )

    def create_blob_message(self, blob: bytes, meta: Optional[dict] = None) -> T:
        """
        create a blob message

        :param blob: the blob
        :return: the blob message
        """
        return self.response_type(
            type=InvokeMessage.MessageType.BLOB,
            message=InvokeMessage.BlobMessage(blob=blob),
            meta=meta,
        )

    def create_variable_message(self, variable_name: str, variable_value: Any) -> T:
        """
        create a variable message

        :param variable_name: the name of the variable
        :param variable_value: the value of the variable
        :return: the variable message
        """
        return self.response_type(
            type=InvokeMessage.MessageType.VARIABLE,
            message=InvokeMessage.VariableMessage(variable_name=variable_name, variable_value=variable_value),
        )

    def create_stream_variable_message(self, variable_name: str, variable_value: str) -> T:
        """
        create a variable message that will be streamed to the frontend

        NOTE: variable value should be a string, only string is streaming supported now

        :param variable_name: the name of the variable
        :param variable_value: the value of the variable
        :return: the variable message
        """
        return self.response_type(
            type=InvokeMessage.MessageType.VARIABLE,
            message=InvokeMessage.VariableMessage(
                variable_name=variable_name,
                variable_value=variable_value,
                stream=True,
            ),
        )

    def create_log_message(
        self,
        label: str,
        data: Mapping[str, Any],
        status: InvokeMessage.LogMessage.LogStatus = InvokeMessage.LogMessage.LogStatus.SUCCESS,
        parent: T | None = None,
        metadata: Optional[Mapping[LogMetadata, Any]] = None,
    ) -> T:
        """
        create a log message with status "start"
        """
        return self.response_type(
            type=InvokeMessage.MessageType.LOG,
            message=InvokeMessage.LogMessage(
                label=label,
                data=data,
                status=status,
                parent_id=parent.message.id
                if parent and isinstance(parent.message, InvokeMessage.LogMessage)
                else None,
                metadata=metadata,
            ),
        )

    def create_retriever_resource_message(
        self,
        retriever_resources: list[InvokeMessage.RetrieverResourceMessage.RetrieverResource],
        context: str,
    ) -> T:
        """
        create a retriever resource message
        """
        return self.response_type(
            type=InvokeMessage.MessageType.RETRIEVER_RESOURCES,
            message=InvokeMessage.RetrieverResourceMessage(
                retriever_resources=retriever_resources,
                context=context,
            ),
        )

    def finish_log_message(
        self,
        log: T,
        status: InvokeMessage.LogMessage.LogStatus = InvokeMessage.LogMessage.LogStatus.SUCCESS,
        error: Optional[str] = None,
        data: Optional[Mapping[str, Any]] = None,
        metadata: Optional[Mapping[LogMetadata, Any]] = None,
    ) -> T:
        """
        mark log as finished
        """
        assert isinstance(log.message, InvokeMessage.LogMessage)
        return self.response_type(
            type=InvokeMessage.MessageType.LOG,
            message=InvokeMessage.LogMessage(
                id=log.message.id,
                label=log.message.label,
                data=data or log.message.data,
                status=status,
                parent_id=log.message.parent_id,
                error=error,
                metadata=metadata or log.message.metadata,
            ),
        )

    @deprecated("This feature is deprecated, will soon be replaced by dynamic select parameter")
    def _get_runtime_parameters(self) -> list[ToolParameter]:
        """
        get the runtime parameters of the tool

        :return: the runtime parameters
        """
        return []

    @classmethod
    def _is_get_runtime_parameters_overridden(cls) -> bool:
        """
        check if the _get_runtime_parameters method is overridden by subclass

        :return: True if overridden, False otherwise
        """
        return "_get_runtime_parameters" in cls.__dict__

    @classmethod
    def _convert_parameters(cls, tool_parameters: dict) -> dict:
        """
        convert parameters into correct types
        """
        for parameter, value in tool_parameters.items():
            if isinstance(value, dict) and value.get("dify_model_identity") == DIFY_FILE_IDENTITY:
                tool_parameters[parameter] = File(
                    url=value["url"],
                    mime_type=value.get("mime_type"),
                    type=FileType(value.get("type")),
                    filename=value.get("filename"),
                    extension=value.get("extension"),
                    size=value.get("size"),
                )
            elif isinstance(value, list) and all(
                isinstance(item, dict) and item.get("dify_model_identity") == DIFY_FILE_IDENTITY for item in value
            ):
                tool_parameters[parameter] = [
                    File(
                        url=item["url"],
                        mime_type=item.get("mime_type"),
                        type=FileType(item.get("type")),
                        filename=item.get("filename"),
                        extension=item.get("extension"),
                        size=item.get("size"),
                    )
                    for item in value
                ]
            elif isinstance(value, dict) and value.get("dify_model_identity") == DIFY_TOOL_SELECTOR_IDENTITY:
                tool_parameters[parameter] = ToolSelector.model_validate(value)
            elif isinstance(value, list) and all(
                isinstance(item, dict) and item.get("dify_model_identity") == DIFY_TOOL_SELECTOR_IDENTITY
                for item in value
            ):
                tool_parameters[parameter] = [ToolSelector.model_validate(item) for item in value]

        return tool_parameters


class ToolProvider:
    def validate_credentials(self, credentials: dict):
        return self._validate_credentials(credentials)

    def _validate_credentials(self, credentials: dict):
        raise NotImplementedError(
            "This plugin should implement `_validate_credentials` method to enable credentials validation"
        )

    def oauth_get_authorization_url(self, redirect_uri: str, system_credentials: Mapping[str, Any]) -> str:
        return self._oauth_get_authorization_url(redirect_uri, system_credentials)

    def _oauth_get_authorization_url(self, redirect_uri: str, system_credentials: Mapping[str, Any]) -> str:
        raise NotImplementedError("This method should be implemented by a subclass")

    def oauth_get_credentials(
        self, redirect_uri: str, system_credentials: Mapping[str, Any], request: Request
    ) -> Mapping[str, Any]:
        return self._oauth_get_credentials(redirect_uri, system_credentials, request)

    def _oauth_get_credentials(
        self, redirect_uri: str, system_credentials: Mapping[str, Any], request: Request
    ) -> Mapping[str, Any]:
        raise NotImplementedError("This method should be implemented by a subclass")


class Tool(ToolLike[ToolInvokeMessage]):
    runtime: ToolRuntime
    session: Session

    @final
    def __init__(
        self,
        runtime: ToolRuntime,
        session: Session,
    ):
        """
        Initialize the tool

        NOTE:
        - This method has been marked as final, DO NOT OVERRIDE IT.
        """
        self.runtime = runtime
        self.session = session
        self.response_type = ToolInvokeMessage

    @classmethod
    def from_credentials(
        cls,
        credentials: dict,
        user_id: Optional[str] = None,
    ):
        return cls(
            runtime=ToolRuntime(credentials=credentials, user_id=user_id, session_id=None),
            session=Session.empty_session(),  # TODO could not fetch session here
        )

    ############################################################
    #        Methods that can be implemented by plugin         #
    ############################################################

    @abstractmethod
    def _invoke(self, tool_parameters: dict) -> Generator[ToolInvokeMessage, None, None]:
        pass

    def _fetch_parameter_options(self, parameter: str) -> list[ParameterOption]:
        """
        Fetch the parameter options of the tool.

        To be implemented by subclasses.

        Also, it's optional to implement, that's why it's not an abstract method.
        """
        raise NotImplementedError(
            "This plugin should implement `_fetch_parameter_options` method to enable dynamic select parameter"
        )

    ############################################################
    #                 For executor use only                    #
    ############################################################

    def invoke(self, tool_parameters: dict) -> Generator[ToolInvokeMessage, None, None]:
        # convert parameters into correct types
        tool_parameters = self._convert_parameters(tool_parameters)
        return self._invoke(tool_parameters)

    @deprecated("This feature is deprecated, will soon be replaced by dynamic select parameter")
    def get_runtime_parameters(self) -> list[ToolParameter]:
        return self._get_runtime_parameters()

    def fetch_parameter_options(self, parameter: str) -> list[ParameterOption]:
        """
        Fetch the parameter options of the tool.

        To be implemented by subclasses.

        """
        return self._fetch_parameter_options(parameter)