73 lines
2.7 KiB
Python
73 lines
2.7 KiB
Python
from datetime import datetime
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from typing import List
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from fastapi import APIRouter, Depends, Request, UploadFile, File, Form
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from pydantic_validation_decorator import ValidateFields
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from sqlalchemy.ext.asyncio import AsyncSession
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from config.enums import BusinessType
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from config.get_db import get_db
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from module_admin.annotation.log_annotation import Log
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# from module_admin.aspect.interface_auth import CheckUserInterfaceAuth
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# from module_admin.entity.vo.notice_vo import DeleteNoticeModel, NoticeModel, NoticePageQueryModel
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# from module_admin.entity.vo.user_vo import CurrentUserModel
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from module_admin.service.login_service import LoginService
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from module_admin.service.ragflow_service import RAGFlowService
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from utils.log_util import logger
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from utils.page_util import PageResponseModel
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from utils.response_util import ResponseUtil
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from module_admin.entity.vo.ragflow_vo import RagflowListQueryModel, ListDocumentsQueryModel
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# from config.env import RAGFlowConfig
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ragflowController = APIRouter(prefix="/system/ragflow", dependencies=[Depends(LoginService.get_current_user)])
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# 查看数据集列表
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@ragflowController.post("/dataset_list"
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# , response_model=PageResponseModel
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# , dependencies=[Depends(CheckUserInterfaceAuth("system:ragflow:list"))]"
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)
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async def get_system_ragflow_list(
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request: Request,
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rage_flow_dastset_query: RagflowListQueryModel ,
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# query_db: AsyncSession = Depends(get_db),
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):
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result = await RAGFlowService.get_ragflow_dataset_list_services(None, rage_flow_dastset_query)
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return ResponseUtil.success(data = result)
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# 获取分页数据
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# ragflow_list, total = await RagflowService.get_ragflow_list(query_db, ragflow_page_query)
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# 列出数据集中文档列表
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@ragflowController.get("/list_documents/{dataset_id}")
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async def list_documents_by_dataset_id(
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request: Request,
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dataset_id: str,
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list_documents_query: ListDocumentsQueryModel = Depends(ListDocumentsQueryModel.as_query),
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# query_db: AsyncSession = Depends(get_db),
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):
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"""
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列出数据集中文档列表
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"""
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print(list_documents_query)
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result = await RAGFlowService.list_documents_services(None, dataset_id, list_documents_query)
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return ResponseUtil.success(data = result)
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# 上传文件到数据集
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@ragflowController.post("/upload_file/{dataset_id}")
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async def upload_file_dataset(
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dataset_id: str,
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files: List[UploadFile] = File(...),
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# query_db: AsyncSession = Depends(get_db),
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):
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"""
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上传文件到数据集
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"""
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# print(file)
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result = await RAGFlowService.upload_file_dataset_services(None, dataset_id ,files)
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return ResponseUtil.success(data = result) |