增加设备分析

zhaoqingang

2025-02-25 383c21560fcb7012cd2e5b15d559e46d038c87b0

增加设备分析

 app/api/chat.py

@@ -11,7 +11,8 @@
from app.api import get_current_user_websocket
from app.config.config import settings
from app.config.const import IMAGE_TO_TEXT, DOCUMENT_TO_REPORT, DOCUMENT_TO_CLEANING, DOCUMENT_IA_QUESTIONS, \
    DOCUMENT_TO_REPORT_TITLE, DOCUMENT_TO_TITLE, DOCUMENT_TO_PAPER, DOCUMENT_IA_QUESTIONS_DS
    DOCUMENT_TO_REPORT_TITLE, DOCUMENT_TO_TITLE, DOCUMENT_TO_PAPER, DOCUMENT_IA_QUESTIONS_DS, \
    DOCUMENT_IA_QUESTIONS_EQUIPMENT
from app.models import MenuCapacityModel
from app.models.agent_model import AgentModel, AgentType
from app.models.base_model import get_db
@@ -39,6 +40,7 @@
    print(f"Client {agent_id} connected")
    agent = db.query(MenuCapacityModel).filter(MenuCapacityModel.chat_id == agent_id).first()
    if not agent:
        print("Agent not found")
        agent = db.query(AgentModel).filter(AgentModel.id == agent_id).first()
        agent_type = agent.agent_type
        chat_type = agent.type
@@ -808,10 +810,11 @@
                                        result = {"message": f"内部错误： {e2}", "type": "close"}
                                        await websocket.send_json(result)
                                        print(f"Error process message of ragflow: {e2}")
                elif chat_type == "documentIa" or chat_type == "documentIaDs":
                elif chat_type == "documentIa" or chat_type == "documentIaDs" or chat_type == "documentIaEq":
                    token_dict = {
                        "documentIa": DOCUMENT_IA_QUESTIONS,
                        "documentIaDs": DOCUMENT_IA_QUESTIONS_DS,
                        "documentIaEq": DOCUMENT_IA_QUESTIONS_EQUIPMENT,
                    }
                    token = DfTokenDao(db).get_token_by_id(token_dict[chat_type])
                    # print(token)

 app/api/files.py

@@ -12,7 +12,7 @@
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, DOCUMENT_TO_REPORT_TITLE, DOCUMENT_IA_QUESTIONS, \
    DOCUMENT_TO_PAPER, DOCUMENT_IA_QUESTIONS_DS
    DOCUMENT_TO_PAPER, DOCUMENT_IA_QUESTIONS_DS, DOCUMENT_IA_QUESTIONS_EQUIPMENT
from app.models import MenuCapacityModel
from app.models.agent_model import AgentType, AgentModel
from app.models.base_model import get_db
@@ -118,12 +118,13 @@
                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.chat_type == "reportWorkflow" or agent.chat_type == "documentIa" or agent.chat_type == "paperTalk" or agent.chat_type == "documentIaDs":
        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":
            token_dict = {
                "reportWorkflow": DOCUMENT_TO_REPORT_TITLE,
                "documentIa": DOCUMENT_IA_QUESTIONS,
                "paperTalk": DOCUMENT_TO_PAPER,
                "documentIaDs": DOCUMENT_IA_QUESTIONS_DS,
                "documentIaEq": DOCUMENT_IA_QUESTIONS_EQUIPMENT,
            }
            token = DfTokenDao(db).get_token_by_id(token_dict[agent.chat_type])
            if not token:

 app/api/v2/public_api.py

@@ -6,7 +6,8 @@
from app.api import Response
from app.api.auth import login
from app.config.const import IMAGE_TO_TEXT, DOCUMENT_TO_CLEANING, DOCUMENT_TO_REPORT, DIFY, BISHENG, RAGFLOW, \
    DOCUMENT_IA_QUESTIONS, DOCUMENT_TO_REPORT_TITLE, DOCUMENT_TO_TITLE, DOCUMENT_TO_PAPER
    DOCUMENT_IA_QUESTIONS, DOCUMENT_TO_REPORT_TITLE, DOCUMENT_TO_TITLE, DOCUMENT_TO_PAPER, \
    DOCUMENT_IA_QUESTIONS_EQUIPMENT
from app.models.base_model import get_db
from app.models.public_api_model import DfToken, AppRegister
from app.service.v2.api_token import DfTokenDao
@@ -19,7 +20,7 @@

@public_api.post("/sync/df_token", response_model=Response)
async def sync_df_token(df: DfToken, db=Depends(get_db)):
    token_dict = {IMAGE_TO_TEXT: df.image, DOCUMENT_TO_CLEANING: df.clean,
    token_dict = {IMAGE_TO_TEXT: df.image, DOCUMENT_TO_CLEANING: df.clean,DOCUMENT_IA_QUESTIONS_EQUIPMENT: df.equipment,
                  DOCUMENT_IA_QUESTIONS: df.doc, DOCUMENT_TO_REPORT_TITLE: df.report,DOCUMENT_TO_TITLE: df.title,DOCUMENT_TO_PAPER: df.paper}

    try:

 app/config/const.py

@@ -5,6 +5,7 @@
IMAGE_TO_TEXT = "image_and_text_conversion"
DOCUMENT_IA_QUESTIONS = "document_ia_questions"
DOCUMENT_IA_QUESTIONS_DS = "document_ia_questions_ds"
DOCUMENT_IA_QUESTIONS_EQUIPMENT = "document_ia_questions_equipment"
DOCUMENT_TO_REPORT_TITLE = "document_to_report_title"
DOCUMENT_TO_TITLE = "document_to_title"
DOCUMENT_TO_PAPER = "document_to_paper"

 app/config/env_conf/menu_conf.json

@@ -181,6 +181,23 @@
          "agentType": 4
        }
      ]
    },
    {
      "id": 11,
      "title": "设备分析",
      "icon": "7",
      "img": "/src/assets/index/7.png",
      "desc": "设备分析助手，基于您上传的设备数据进行问答，支持多设备",
      "describe": "设备分析助手，基于您上传的文档进行问答，支持多文档，大小在30M以内。",
      "rank": 89,
      "dialog": [
        {
          "id": "a6c01e15-378e-4f56-bd8c-cde5155d37f1",
          "chat_id": "a6c01e15-378e-4f56-bd8c-cde5155d37f1",
          "chat_type": "documentIaEq",
          "agentType": 4
        }
      ]
    }
  ]
}

 app/models/public_api_model.py

@@ -53,6 +53,10 @@
    image: Optional[str] = ""
    clean: Optional[str] = ""
    report: Optional[str] = ""
    doc: Optional[str] = ""
    title: Optional[str] = ""
    paper: Optional[str] = ""
    equipment: Optional[str] = ""


class AppRegister(BaseModel):

 app/service/session.py

@@ -28,6 +28,7 @@
        """
        existing_session = self.get_session_by_id(session_id)
        if existing_session:
            print("update success")
            # existing_session.add_message({"role": "user", "content": name})
            existing_session.add_message(message)
            existing_session.update_date = current_time()