| | |
| | | |
| | | from app.api import Response, get_current_user, ResponseList |
| | | from app.config.config import settings |
| | | from app.config.const import DOCUMENT_TO_REPORT, IMAGE_TO_TEXT |
| | | from app.config.const import DOCUMENT_TO_REPORT, IMAGE_TO_TEXT, DOCUMENT_TO_REPORT_TITLE, DOCUMENT_IA_QUESTIONS, \ |
| | | DOCUMENT_TO_PAPER |
| | | from app.models import MenuCapacityModel |
| | | from app.models.agent_model import AgentType, AgentModel |
| | | from app.models.base_model import get_db |
| | | from app.models.user_model import UserModel |
| | |
| | | db: Session = Depends(get_db), |
| | | current_user: UserModel = Depends(get_current_user) |
| | | ): |
| | | agent = db.query(AgentModel).filter(AgentModel.id == agent_id).first() |
| | | agent = db.query(MenuCapacityModel).filter(MenuCapacityModel.chat_id == agent_id).first() |
| | | if not agent: |
| | | return Response(code=404, msg="Agent not found") |
| | | return ResponseList(code=404, msg="Agent not found") |
| | | agent_type = int(agent.capacity_type) |
| | | |
| | | # 检查 agent 类型,确定是否允许上传多个文件 |
| | | if agent.agent_type in [AgentType.RAGFLOW, AgentType.BISHENG]: |
| | | if agent_type in [AgentType.RAGFLOW, AgentType.BISHENG]: |
| | | if len(file) > 1: |
| | | return Response(code=400, msg="这个智能体只支持传单个文件") |
| | | |
| | | if agent.agent_type == AgentType.RAGFLOW or agent.agent_type == AgentType.BISHENG: |
| | | if agent_type == AgentType.RAGFLOW or agent_type == AgentType.BISHENG: |
| | | file = file[0] |
| | | # 读取上传的文件内容 |
| | | try: |
| | |
| | | except Exception as e: |
| | | return Response(code=400, msg=str(e)) |
| | | |
| | | if agent.agent_type == AgentType.RAGFLOW: |
| | | if agent_type == AgentType.RAGFLOW: |
| | | token = await get_ragflow_token(db, current_user.id) |
| | | ragflow_service = RagflowService(base_url=settings.fwr_base_url) |
| | | # 查询会话是否存在,不存在先创建会话 |
| | |
| | | # 对于多文件,可能需要收集所有doc_ids |
| | | return Response(code=200, msg="", data={"doc_ids": doc_ids, "file_name": file.filename}) |
| | | |
| | | elif agent.agent_type == AgentType.BISHENG: |
| | | elif agent_type == AgentType.BISHENG: |
| | | bisheng_service = BishengService(base_url=settings.sgb_base_url) |
| | | try: |
| | | token = await get_bisheng_token(db, current_user.id) |
| | |
| | | result["file_name"] = file.filename |
| | | return Response(code=200, msg="", data=result) |
| | | |
| | | elif agent.agent_type == AgentType.BASIC: |
| | | elif agent_type == AgentType.BASIC: |
| | | if agent_id == "basic_excel_talk": |
| | | # 处理单个文件的情况 |
| | | file_list = file |
| | |
| | | # service = BasicService(base_url=settings.basic_paper_url) |
| | | # result = await service.paper_file_upload(chat_id, file.filename, file_content) |
| | | |
| | | elif agent.agent_type == AgentType.DIFY: |
| | | elif agent_type == AgentType.DIFY: |
| | | dify_service = DifyService(base_url=settings.dify_base_url) |
| | | if agent.type == "imageTalk": |
| | | if agent.chat_type == "imageTalk": |
| | | token = DfTokenDao(db).get_token_by_id(IMAGE_TO_TEXT) |
| | | if not token: |
| | | raise HTTPException(status_code=500, detail="获取token失败,image_and_text_conversion!") |
| | |
| | | data = await dify_service.upload(token, file.filename, file_content, current_user.id) |
| | | except Exception as e: |
| | | raise HTTPException(status_code=500, detail=str(e)) |
| | | elif agent.type == "reportWorkflow" or agent.type == "documentIa": |
| | | token = DfTokenDao(db).get_token_by_id(DOCUMENT_TO_REPORT) |
| | | elif agent.chat_type == "reportWorkflow" or agent.chat_type == "documentIa" or agent.chat_type == "paperTalk": |
| | | token_dict = { |
| | | "reportWorkflow": DOCUMENT_TO_REPORT, |
| | | "documentIa": DOCUMENT_IA_QUESTIONS, |
| | | "paperTalk": DOCUMENT_TO_PAPER, |
| | | } |
| | | token = DfTokenDao(db).get_token_by_id(token_dict[agent.chat_type]) |
| | | if not token: |
| | | raise HTTPException(status_code=500, detail="获取token失败,document_to_report!") |
| | | result = [] |
| | |
| | | file_type: Optional[str] = Query(None, description="Optional file type for basic agents"), |
| | | db: Session = Depends(get_db) |
| | | ): |
| | | agent = db.query(AgentModel).filter(AgentModel.id == agent_id).first() |
| | | # agent = db.query(AgentModel).filter(AgentModel.id == agent_id).first() |
| | | agent = db.query(MenuCapacityModel).filter(MenuCapacityModel.chat_id == agent_id).first() |
| | | |
| | | if not agent: |
| | | return Response(code=404, msg="Agent not found") |
| | | |
| | | if agent.agent_type == AgentType.BISHENG: |
| | | agent_type = int(agent.capacity_type) |
| | | if agent_type == AgentType.BISHENG: |
| | | url = urllib.parse.unquote(url) |
| | | # 从 URL 中提取文件名 |
| | | parsed_url = urllib.parse.urlparse(url) |
| | | filename = urllib.parse.unquote(parsed_url.path.split('/')[-1]) |
| | | url = url.replace("http://minio:9000", settings.sgb_base_url) |
| | | elif agent.agent_type == AgentType.RAGFLOW: |
| | | elif agent_type == AgentType.RAGFLOW: |
| | | if not doc_id: |
| | | return Response(code=400, msg="doc_id is required") |
| | | url = f"{settings.fwr_base_url}/v1/document/get/{doc_id}" |
| | | filename = doc_name |
| | | elif agent.agent_type == AgentType.BASIC: |
| | | elif agent_type == AgentType.BASIC: |
| | | if agent_id == "basic_excel_talk": |
| | | return await download_basic_file(file_id, file_type) |
| | | |