import io
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import time
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from typing import Optional, List
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import requests
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from fastapi import Depends, APIRouter, HTTPException, UploadFile, File, Query, Form
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from pydantic import BaseModel
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from sqlalchemy.orm import Session
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from starlette.responses import StreamingResponse
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from werkzeug.utils import send_file
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from Log import logger
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from app.api import Response, get_current_user, ResponseList
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from app.config.config import settings
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from app.config.const import DOCUMENT_TO_REPORT, IMAGE_TO_TEXT, DOCUMENT_TO_REPORT_TITLE, DOCUMENT_IA_QUESTIONS, \
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DOCUMENT_TO_PAPER, DOCUMENT_IA_QUESTIONS_DS, DOCUMENT_IA_QUESTIONS_EQUIPMENT
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from app.models import MenuCapacityModel
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from app.models.agent_model import AgentType, AgentModel
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from app.models.base_model import get_db
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from app.models.user_model import UserModel
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from app.service.basic import BasicService
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from app.service.bisheng import BishengService
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from app.service.files import read_file, service_chat_message, generate_word_document
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from app.service.v2.api_token import DfTokenDao
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from app.service.difyService import DifyService
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from app.service.ragflow import RagflowService
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from app.service.service_token import get_ragflow_token, get_bisheng_token
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import urllib.parse
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router = APIRouter()
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@router.post("/upload/{agent_id}", response_model=Response)
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async def upload_files(
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agent_id: str,
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file: List[UploadFile] = File(...), # 修改这里，接受文件列表
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chat_id: str = Query(None, description="The ID of the chat"),
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db: Session = Depends(get_db),
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current_user: UserModel = Depends(get_current_user)
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):
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agent = db.query(MenuCapacityModel).filter(MenuCapacityModel.chat_id == agent_id).first()
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if not agent:
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return ResponseList(code=404, msg="Agent not found")
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agent_type = int(agent.capacity_type)
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# 检查 agent 类型，确定是否允许上传多个文件
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if agent_type in [AgentType.RAGFLOW, AgentType.BISHENG]:
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if len(file) > 1:
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return Response(code=400, msg="这个智能体只支持传单个文件")
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if agent_type == AgentType.RAGFLOW or agent_type == AgentType.BISHENG:
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file = file[0]
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# 读取上传的文件内容
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try:
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file_content = await file.read()
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except Exception as e:
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return Response(code=400, msg=str(e))
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if agent_type == AgentType.RAGFLOW:
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token = await get_ragflow_token(db, current_user.id)
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ragflow_service = RagflowService(base_url=settings.fwr_base_url)
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# 查询会话是否存在，不存在先创建会话
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history = await ragflow_service.get_session_history(token, chat_id)
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if len(history) == 0:
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message = {"role": "user", "message": file.filename}
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await ragflow_service.set_session(token, agent_id, message, chat_id, True)
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doc_ids = await ragflow_service.upload_and_parse(token, chat_id, file.filename, file_content)
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# 对于多文件，可能需要收集所有doc_ids
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return Response(code=200, msg="", data={"doc_ids": doc_ids, "file_name": file.filename})
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elif agent_type == AgentType.BISHENG:
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bisheng_service = BishengService(base_url=settings.sgb_base_url)
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try:
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token = await get_bisheng_token(db, current_user.id)
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result = await bisheng_service.upload(token, file.filename, file_content)
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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result["file_name"] = file.filename
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return Response(code=200, msg="", data=result)
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elif agent_type == AgentType.BASIC:
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if agent_id == "basic_excel_talk":
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# 处理单个文件的情况
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file_list = file
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if len(file) == 1: # and agent.agent_type != AgentType.BASIC
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file_list = [file[0]] # 如果只有一个文件，确保它是一个列表
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service = BasicService(base_url=settings.basic_base_url)
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# 遍历file_list，存到files 列表中
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files = []
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for item in file_list:
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file_content = await item.read()
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files.append(('files', (item.filename, file_content, 'application/octet-stream')))
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result = await service.excel_talk_upload(chat_id, files)
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if not result:
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return Response(code=400, msg="上传文件出错")
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return Response(code=200, msg="", data=result)
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elif agent_id == "basic_paper_agent":
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...
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# service = BasicService(base_url=settings.basic_paper_url)
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# result = await service.paper_file_upload(chat_id, file.filename, file_content)
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elif agent_type == AgentType.DIFY:
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dify_service = DifyService(base_url=settings.dify_base_url)
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if agent.chat_type == "imageTalk":
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token = DfTokenDao(db).get_token_by_id(IMAGE_TO_TEXT)
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if not token:
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raise HTTPException(status_code=500, detail="获取token失败，image_and_text_conversion！")
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file = file[0]
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# 读取上传的文件内容
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try:
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file_content = await file.read()
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except Exception as e:
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return Response(code=400, msg=str(e))
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try:
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data = await dify_service.upload(token, file.filename, file_content, current_user.id)
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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elif agent.chat_type == "reportWorkflow" or agent.chat_type == "documentIa" or agent.chat_type == "paperTalk" or agent.chat_type == "documentIaDs" or agent.chat_type == "documentIaEq":
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token_dict = {
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"reportWorkflow": DOCUMENT_TO_REPORT_TITLE,
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"documentIa": DOCUMENT_IA_QUESTIONS,
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"paperTalk": DOCUMENT_TO_PAPER,
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"documentIaDs": DOCUMENT_IA_QUESTIONS_DS,
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"documentIaEq": DOCUMENT_IA_QUESTIONS_EQUIPMENT,
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}
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token = DfTokenDao(db).get_token_by_id(token_dict[agent.chat_type])
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if not token:
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raise HTTPException(status_code=500, detail="获取token失败，document_to_report！")
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result = []
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for f in file:
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try:
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file_content = await f.read()
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except Exception as e:
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return Response(code=400, msg=str(e))
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try:
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file_upload = await dify_service.upload(token, f.filename, file_content, current_user.id)
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if not file_upload:
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raise HTTPException(status_code=500, detail="上传文件出错")
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try:
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tokens = await read_file(file_content, f.filename, f.content_type)
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file_upload["tokens"] = tokens
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except Exception as e:
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logger.error(e)
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result.append(file_upload)
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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# result["file_name"] = file.filename
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data = {"files": result}
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return Response(code=200, msg="", data=data)
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@router.get("/download/", response_model=Response)
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async def download_file(
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url: Optional[str] = Query(None, description="URL of the file to download for bisheng"),
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agent_id: str = Query(..., description="Agent ID"),
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doc_id: Optional[str] = Query(None, description="Optional doc id for ragflow agents"),
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doc_name: Optional[str] = Query(None, description="Optional doc name for ragflow agents"),
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file_id: Optional[str] = Query(None, description="Optional file id for basic agents"),
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file_type: Optional[str] = Query(None, description="Optional file type for basic agents"),
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db: Session = Depends(get_db)
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):
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# agent = db.query(AgentModel).filter(AgentModel.id == agent_id).first()
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agent = db.query(MenuCapacityModel).filter(MenuCapacityModel.chat_id == agent_id).first()
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if not agent:
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return Response(code=404, msg="Agent not found")
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agent_type = int(agent.capacity_type)
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if agent_type == AgentType.BISHENG:
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url = urllib.parse.unquote(url)
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# 从 URL 中提取文件名
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parsed_url = urllib.parse.urlparse(url)
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filename = urllib.parse.unquote(parsed_url.path.split('/')[-1])
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url = url.replace("http://minio:9000", settings.sgb_base_url)
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elif agent_type == AgentType.RAGFLOW:
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if not doc_id:
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return Response(code=400, msg="doc_id is required")
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url = f"{settings.fwr_base_url}/v1/document/get/{doc_id}"
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filename = doc_name
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elif agent_type == AgentType.BASIC:
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if agent_id == "basic_excel_talk":
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return await download_basic_file(file_id, file_type)
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elif agent_id == "basic_question_talk":
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return await download_basic_file(file_id, file_type)
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else:
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return Response(code=400, msg="Unsupported agent type")
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try:
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# 发送GET请求获取文件内容
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response = requests.get(url, stream=True)
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response.raise_for_status() # 检查请求是否成功
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# 返回流式响应
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return StreamingResponse(
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response.iter_content(chunk_size=1024),
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media_type="application/octet-stream",
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headers={"Content-Disposition": f"attachment; filename*=utf-8''{urllib.parse.quote(filename)}"}
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)
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except Exception as e:
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raise HTTPException(status_code=400, detail=f"Error downloading file: {e}")
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async def download_basic_file(file_id: str, file_type: str):
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service = BasicService(base_url=settings.basic_base_url)
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if not file_type or not file_id:
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return Response(code=400, msg="file_type and file_id is required")
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if file_type == "image":
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content, filename, mimetype = await service.excel_talk_image_download(file_id)
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return StreamingResponse(
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io.BytesIO(content),
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media_type=mimetype,
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headers={"Content-Disposition": f"attachment; filename={filename}"}
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)
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elif file_type == "excel":
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content, filename, mimetype = await service.excel_talk_excel_download(file_id)
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return StreamingResponse(
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io.BytesIO(content),
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media_type=mimetype,
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headers={"Content-Disposition": f"attachment; filename={filename}"}
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)
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elif file_type == "word":
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content, filename, mimetype = await service.questions_talk_word_download(file_id)
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return StreamingResponse(
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io.BytesIO(content),
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media_type=mimetype,
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headers={"Content-Disposition": f"attachment; filename={filename}"}
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)
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else:
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return Response(code=400, msg="Unsupported file type")
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@router.get("/image/{imageId}", response_model=Response)
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async def download_image_file(imageId: str, db=Depends(get_db)):
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file_path = f"app/images/{imageId}.png"
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def generate():
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with open(file_path, "rb") as file:
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while True:
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data = file.read(1048576) # 读取1MB
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if not data:
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break
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yield data
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return StreamingResponse(generate(), media_type="application/octet-stream")
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@router.get("/message/{message_id}/download", response_model=Response)
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async def chat_message_generate_docx(message_id: str, db=Depends(get_db)):
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title, content = await service_chat_message(db, message_id)
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if title:
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print(title)
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# 创建 Word 文档
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doc = await generate_word_document(title, content)
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# 保存到内存缓冲区
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buffer = io.BytesIO()
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doc.save(buffer)
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buffer.seek(0)
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# print(2323232)
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# 返回文件流
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return StreamingResponse(buffer,
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media_type="application/vnd.openxmlformats-officedocument.wordprocessingml.document",
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headers={"Content-Disposition": f"attachment; filename={int(time.time()*1000)}.docx"})
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raise HTTPException(status_code=400, detail="Failed to generate Word document")
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