zhaoqingang
2024-12-17 e6c5e89f09637b8d9ebca6895d781663f12646d6
app/api/chat.py
@@ -10,7 +10,7 @@
from Log import logger
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
from app.config.const import IMAGE_TO_TEXT, DOCUMENT_TO_REPORT, DOCUMENT_TO_CLEANING, DOCUMENT_IA_QUESTIONS
from app.models import MenuCapacityModel
from app.models.agent_model import AgentModel, AgentType
from app.models.base_model import get_db
@@ -44,6 +44,8 @@
    else:
        agent_type = agent.capacity_type
        chat_type = agent.chat_type
    # print(agent_type)
    # print(chat_type)
    if not agent:
        ret = {"message": "Agent not found", "type": "close"}
        await websocket.send_json(ret)
@@ -348,7 +350,15 @@
                        # complete_response = ""
                        answer_str = ""
                        async for rag_response in dify_service.chat(token, current_user.id, question, upload_file_id,
                        files = []
                        if upload_file_id:
                            files.append({
                                "type": "image",
                                "transfer_method": "local_file",
                                "url": "",
                                "upload_file_id": upload_file_id
                            })
                        async for rag_response in dify_service.chat(token, current_user.id, question, files,
                                                                    conversation_id):
                            # print(rag_response)
                            try:
@@ -537,6 +547,130 @@
                                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":
                    # print(122112)
                    token = DfTokenDao(db).get_token_by_id(DOCUMENT_IA_QUESTIONS)
                    # print(token)
                    if not token:
                        await websocket.send_json({"message": "Invalid token", "type": "error"})
                    while True:
                        conversation_id = ""
                        # print(4343)
                        receive_message = await websocket.receive_json()
                        print(f"Received from client {chat_id}: {receive_message}")
                        upload_file_id = receive_message.get('upload_file_id', [])
                        question = receive_message.get('message', "")
                        if not question and not image_url:
                            await websocket.send_json({"message": "Invalid request", "type": "error"})
                            continue
                        try:
                            session = SessionService(db).create_session(
                                chat_id,
                                question,
                                agent_id,
                                AgentType.DIFY,
                                current_user.id
                            )
                            conversation_id = session.conversation_id
                        except Exception as e:
                            logger.error(e)
                        # complete_response = ""
                        files = []
                        for fileId in upload_file_id:
                            files.append({
                                "type": "document",
                                "transfer_method": "local_file",
                                "url": "",
                                "upload_file_id": fileId
                            })
                        answer_str = ""
                        complete_response = ""
                        async for rag_response in dify_service.chat(token, current_user.id, question, files,
                                                                    conversation_id):
                            # print(rag_response)
                            try:
                                if rag_response[:5] == "data:":
                                    # 如果是,则截取掉前5个字符,并去除首尾空白符
                                    complete_response = rag_response[5:].strip()
                                elif "event: ping" in rag_response:
                                    continue
                                else:
                                    # 否则,保持原样
                                    complete_response += rag_response
                                try:
                                    data = json.loads(complete_response)
                                    if data.get("event") == "node_started" or data.get(
                                            "event") == "node_finished":  # "event": "message_end"
                                        if "data" not in data or not data["data"]:  # 信息过滤
                                            logger.error("非法数据--------------------")
                                            logger.error(data)
                                            continue
                                        else:  # 正常输出
                                            answer = data.get("data", "")
                                            if isinstance(answer, str):
                                                logger.error("----------------未知数据--------------------")
                                                logger.error(data)
                                                continue
                                            elif isinstance(answer, dict):
                                                message = answer.get("title", "")
                                            result = {"message": message, "type": "system"}
                                            continue
                                    elif data.get("event") == "message":  # "event": "message_end"
                                         # 正常输出
                                        answer = data.get("answer", "")
                                        result = {"message": answer, "type": "message"}
                                    elif data.get("event") == "workflow_finished":
                                        answer = data.get("data", "")
                                        if isinstance(answer, str):
                                            logger.error("----------------未知数据--------------------")
                                            logger.error(data)
                                            result = {"message": "", "type": "close", "download_url": ""}
                                        elif isinstance(answer, dict):
                                            download_url = ""
                                            outputs = answer.get("outputs", {})
                                            if outputs:
                                                message = outputs.get("answer", "")
                                                # download_url = outputs.get("download_url", "")
                                            else:
                                                message = answer.get("error", "")
                                            # result = {"message": message, "type": "message",
                                            #           "download_url": download_url}
                                            try:
                                                SessionService(db).update_session(chat_id,
                                                                                  message={"role": "assistant",
                                                                                           "content": {
                                                                                               "answer": message,
                                                                                               "download_url": download_url}},
                                                                                  conversation_id=data.get(
                                                                                      "conversation_id"))
                                            except Exception as e:
                                                logger.error("保存dify的会话异常!")
                                                logger.error(e)
                                            # await websocket.send_json(result)
                                        continue
                                    elif data.get("event") == "message_end":
                                        result = {"message": "", "type": "close"}
                                    else:
                                        continue
                                    try:
                                        await websocket.send_json(result)
                                    except Exception as e:
                                        logger.error(e)
                                        logger.error("返回客户端消息异常!")
                                    complete_response = ""
                                except json.JSONDecodeError as e:
                                    print(f"Error decoding JSON: {e}")
                                    # print(f"Response text: {text}")
                            except Exception as e2:
                                result = {"message": f"内部错误: {e2}", "type": "close"}
                                await websocket.send_json(result)
                                print(f"Error process message of ragflow: {e2}")
            # 启动任务处理客户端消息
            tasks = [