openassistant/app/core/tools/file_search_tool.py

from typing import Type, List

from pydantic import BaseModel, Field
from sqlalchemy.orm import Session

from app.core.tools.base_tool import BaseTool
from app.models.run import Run
from app.services.file.file import FileService
from app.services.assistant.assistant import AssistantService

# import asyncio
import nest_asyncio

# 使得异步代码可以在已运行的事件循环中嵌套
nest_asyncio.apply()

# asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy())


class FileSearchToolInput(BaseModel):
    indexes: List[int] = Field(
        ..., description="file index list to look up in retrieval"
    )
    query: str = Field(..., description="query to look up in retrieval")


"""


class FileSearchToolInput(BaseModel):
    query: str = Field(..., description="query to look up in retrieval")
"""


class FileSearchTool(BaseTool):
    name: str = "file_search"
    description: str = (
        "Can be used to look up information that was uploaded to this assistant."
        # "If the user is referencing particular files, that is often a good hint that information may be here."
        "A search engine optimized for comprehensive, accurate, and trusted results. "
        "Useful for when you need to answer questions about current events. "
        "Input should be a search query."
    )

    args_schema: Type[BaseModel] = FileSearchToolInput

    def __init__(self) -> None:
        super().__init__()
        self.__filenames = []
        self.__keys = []
        self.__dirkeys = []
        self.loop = None

    def configure(self, session: Session, run: Run, **kwargs):
        # 获取当前事件循环
        document_id = []
        file_key = []
        filesinfo = []
        # 后语要从知识库里选择文件，所以在openassistant的数据库里可能不存在
        for key in run.file_ids:
            if len(key) == 36:
                document_id.append(key)
            else:
                file_key.append(key)

        print(
            "document_iddocument_iddocument_iddocument_iddocument_iddocument_iddocument_iddocument_iddocument_iddocument_iddocument_iddocument_iddocument_iddocument_iddocument_iddocument_iddocument_iddocument_iddocument_iddocument_iddocument_iddocument_iddocument_iddocument_iddocument_iddocument_iddocument_id"
        )
        print(document_id)
        print(file_key)
        files = []
        # 这种情况是uuid.ex 这种格式的在最早的时候存在的，后续要去掉
        if len(file_key) > 0:
            ## 获取文件信息
            files = FileService.get_file_list_by_ids(session=session, file_ids=file_key)
            print(files)
        # r2r接口不提供多条件，否则上面没必要存在
        if len(document_id) > 0:
            filesinfo += FileService.list_in_files(ids=document_id, offset=0, limit=100)
            # asyncio.run(
            #    FileService.list_in_files(ids=document_id, offset=0, limit=100)
            # )
            for file in filesinfo:
                self.__filenames.append(file.get("title"))
                self.__keys.append(file.get("id"))
            print(filesinfo)

        # files = FileService.list_in_files(ids=run.file_ids, offset=0, limit=100)
        db_asst = AssistantService.get_assistant_sync(
            session=session, assistant_id=run.assistant_id
        )

        if db_asst.tool_resources and "file_search" in db_asst.tool_resources:
            ##{"file_search": {"vector_store_ids": [{"file_ids": []}]}}
            asst_folder_ids = (
                db_asst.tool_resources.get("file_search")
                .get("vector_stores")[0]
                .get("folder_ids")
            )
            print(asst_folder_ids)
            folder_fileinfo = []
            if asst_folder_ids:
                for fid in asst_folder_ids:
                    folder_fileinfo += FileService.list_documents(
                        id=fid, offset=0, limit=100
                    )
                    # folder_fileinfo += asyncio.run(
                    #    FileService.list_documents(id=fid, offset=0, limit=100)
                    # )
                print(folder_fileinfo)
                for file in folder_fileinfo:
                    self.__filenames.append(file.get("title"))
                    self.__keys.append(file.get("id"))

        # pre-cache data to prevent thread conflicts that may occur later on.
        print(
            "---------ssssssssssss-----------------sssssssssssss---------------ssssssssssssss-------------sssssssssssss-------------ss-------"
        )
        print(files)
        for file in files:
            self.__filenames.append(file.filename)
            self.__keys.append(file.key)
        print(self.__keys)

    def run(self, indexes: List[int], query: str) -> dict:

        file_keys = []

        for index in indexes:
            if index is not None:
                file_key = self.__keys[index]
                file_keys.append(file_key)
        print(
            "file_keysfile_keysfile_keysfile_keysfile_keysfile_keysfile_keysfile_keysfile_keysfile_keysfile_keysfile_keysfile_keysfile_keysfile_keysfile_keysfile_keysfile_keysfile_keysfile_keysfile_keysfile_keysfile_keysfile_keysfile_keysfile_keysfile_keysfile_keysfile_keys"
        )
        print(file_keys)
        files = []
        if len(file_keys) > 0:
            # self.loop = asyncio.get_event_loop()
            files = FileService.search_in_files(query=query, file_keys=file_keys)
            # files = asyncio.run(
            #    FileService.search_in_files(query=query, file_keys=file_keys)
            # )
        print(files)
        return files

    def instruction_supplement(self) -> str:
        """
        为 Retrieval 提供文件选择信息，用于 llm 调用抉择
        """
        if len(self.__filenames) == 0:
            return ""
        else:
            filenames_info = [
                f"({index}){filename}"
                for index, filename in enumerate(self.__filenames)
            ]
            return (
                'You can use the "retrieval" tool to retrieve relevant context from the following attached files. '
                + 'Each line represents a file in the format "(index)filename":\n'
                + "\n".join(filenames_info)
                + "\nMake sure to be extremely concise when using attached files. "
            )