新对话bug

chat/api/v1/ai_chat.py

@@ -6,7 +6,7 @@ from sqlalchemy.orm import Session
 from typing import List
 from datetime import datetime
 
-from pydantic import BaseModel
+from pydantic import BaseModel, SecretStr
 from langchain.chains import ConversationChain
 from langchain_community.chat_models import ChatOpenAI
 
@@ -16,6 +16,7 @@ from services.chat_service import ChatDBService
 from db.session import get_db
 from models.ai import ChatConversation, ChatMessage, MessageType
 from utils.resp import resp_success, Response
+from langchain_deepseek import ChatDeepSeek
 
 router = APIRouter()
 
@@ -23,13 +24,13 @@ class ChatRequest(BaseModel):
     prompt: str
 
 
-def get_deepseek_llm(api_key: str, model: str, openai_api_base: str):
+
+def get_deepseek_llm(api_key: SecretStr, model: str):
     # deepseek 兼容 OpenAI API，需指定 base_url
-    return ChatOpenAI(
+    return ChatDeepSeek(
-        openai_api_key=api_key,
+        api_key=api_key,
-        model_name=model,
+        model=model,
         streaming=True,
-        openai_api_base=openai_api_base,   # deepseek的API地址
     )
 
 @router.post('/stream')
@@ -41,29 +42,34 @@ async def chat_stream(request: Request, user=Depends(get_current_user), db: Sess
     model = 'deepseek-chat'
     api_key = os.getenv("DEEPSEEK_API_KEY")
     openai_api_base = "https://api.deepseek.com/v1"
-    llm = get_deepseek_llm(api_key, model, openai_api_base)
+    llm = get_deepseek_llm(api_key, model)
 
     if not content or not isinstance(content, str):
         from fastapi.responses import JSONResponse
         return JSONResponse({"error": "content不能为空"}, status_code=400)
 
     user_id = user["user_id"]
-
+    print(conversation_id, 'conversation_id')
     # 1. 获取或新建对话
     try:
-        conversation = ChatDBService.get_or_create_conversation(db, conversation_id, user_id, model)
+        conversation = ChatDBService.get_or_create_conversation(db, conversation_id, user_id, model, content)
     except ValueError as e:
+        print(23232)
         from fastapi.responses import JSONResponse
         return JSONResponse({"error": str(e)}, status_code=400)
-
+    print(conversation, 'dsds')
     # 2. 插入当前消息
     ChatDBService.add_message(db, conversation, user_id, content)
-
+    context = [
+        ("system", "You are a helpful assistant. Answer all questions to the best of your ability in {language}.")
+    ]
     # 3. 查询历史消息，组装上下文
     history = ChatDBService.get_history(db, conversation.id)
-    history_contents = [msg.content for msg in history]
+    for msg in history:
-    context = '\n'.join(history_contents)
+        # 假设 msg.type 存储的是 'user' 或 'assistant'
-
+        # role = msg.type if msg.type in ("user", "assistant") else "user"
+        context.append((msg.type, msg.content))
+    print('context', context)
     ai_reply = ""
 
     async def event_generator():
@@ -76,7 +82,7 @@ async def chat_stream(request: Request, user=Depends(get_current_user), db: Sess
                 ai_reply += chunk
                 yield f"data: {chunk}\n\n"
             await asyncio.sleep(0.01)
-        # 生成器结束时插入AI消息
+        # 只保留最新AI回复
         if ai_reply:
             ChatDBService.insert_ai_message(db, conversation, user_id, ai_reply, model)
 

chat/services/chat_service.py

@@ -5,13 +5,14 @@ from models.ai import ChatConversation, ChatMessage, MessageType
 
 class ChatDBService:
     @staticmethod
-    def get_or_create_conversation(db: Session, conversation_id: int | None, user_id: int, model: str) -> ChatConversation:
+    def get_or_create_conversation(db: Session, conversation_id: int | None, user_id: int, model: str, content: str) -> ChatConversation:
         if not conversation_id:
+            print(conversation_id, 'conversation_id')
             conversation = ChatConversation(
-                title="新对话",
+                title=content,
                 user_id=user_id,
                 role_id=None,
-                model_id=1,  # 需根据实际模型id调整
+                model_id=None,  # 需根据实际模型id调整
                 model=model,
                 system_message=None,
                 temperature=0.7,

chat/utils/resp.py

@@ -1,7 +1,6 @@
 from typing import Generic, TypeVar, Optional
 
 from pydantic import BaseModel
-from pydantic.generics import GenericModel
 
 T = TypeVar("T")
 

web/apps/web-antd/src/views/ai/chat/index.vue

@@ -23,7 +23,7 @@ interface Message {
 }
 
 interface ChatItem {
-  id: number;
+  id: null | number;
   title: string;
   lastMessage: string;
 }
@@ -33,7 +33,6 @@ const chatList = ref<ChatItem[]>([]);
 
 // 聊天消息
 const messages = ref<Message[]>([]);
-const currentMessages = ref<Message[]>([]);
 
 // 模型列表
 const modelOptions = [
@@ -57,18 +56,19 @@ const filteredChats = computed(() => {
 async function selectChat(id: number) {
   selectedChatId.value = id;
   const { data } = await getMessages(id);
-  currentMessages.value = data;
+  messages.value = data;
   nextTick(scrollToBottom);
 }
 
 function handleNewChat() {
-  const newId = Date.now();
+  const newId = null;
   chatList.value.unshift({
     id: newId,
     title: `新对话${chatList.value.length + 1}`,
     lastMessage: '',
   });
   selectedChatId.value = newId;
+  messages.value = [];
   nextTick(scrollToBottom);
 }
 
@@ -87,30 +87,30 @@ async function handleSend() {
     content: '',
   };
   messages.value.push(aiMsgObj);
-  currentAiMessage.value = aiMsgObj;
+  const aiMsgIndex = messages.value.length - 1; // 记录AI消息的索引
+
   isAiTyping.value = true;
 
   const stream = await fetchAIStream({
     content: input.value,
     conversation_id: selectedChatId.value, // 新增
   });
-
+  if (chatList.value.length > 0) {
+    chatList.value[0]!.title = input.value.slice(0, 10);
+  }
+  // 立刻清空输入框
+  input.value = '';
   for await (const chunk of stream) {
     for (const char of chunk) {
-      aiMsgObj.content += char;
+      messages.value[aiMsgIndex]!.content += char;
-      // 保证messages数组响应式更新
+      // 用 splice 替换，确保响应式
-      const idx = messages.value.indexOf(aiMsgObj);
+      messages.value.splice(aiMsgIndex, 1, { ...messages.value[aiMsgIndex]! });
-      if (idx !== -1) {
-        messages.value.splice(idx, 1, { ...aiMsgObj });
-      }
-      currentAiMessage.value = { ...aiMsgObj };
       await nextTick();
       scrollToBottom();
       await new Promise((resolve) => setTimeout(resolve, 15));
     }
   }
   isAiTyping.value = false;
-  input.value = '';
   nextTick(scrollToBottom);
 }
 
@@ -144,7 +144,7 @@ onMounted(() => {
   <Page auto-content-height>
     <Row style="height: 100%">
       <!-- 左侧历史对话 -->
-      <Col :span="6" class="chat-sider">
+      <Col :span="5" class="chat-sider">
         <div class="sider-header">
           <Button type="primary" @click="handleNewChat">新建对话</Button>
           <Input
@@ -195,9 +195,9 @@ onMounted(() => {
             />
           </div>
         </div>
-        <div class="chat-messages" ref="messagesRef">
+        <div class="chat-messages" style="height: 100%;" ref="messagesRef">
           <div
-            v-for="msg in currentMessages"
+            v-for="msg in messages"
             :key="msg.id"
             class="chat-message"
             :class="[msg.type]"
@@ -208,7 +208,9 @@ onMounted(() => {
                 {{ msg.content }}
                 <span
                   v-if="
-                    msg.type === 'ai' && isAiTyping && msg === currentAiMessage
+                    msg.type === 'assistant' &&
+                    isAiTyping &&
+                    msg === currentAiMessage
                   "
                   class="typing-cursor"
                 ></span>
@@ -277,6 +279,7 @@ onMounted(() => {
 }
 .chat-content {
   display: flex;
+  height: 100%;
   flex-direction: column;
   padding: 16px 24px 8px 24px;
   background: #f6f8fa;
@@ -292,13 +295,13 @@ onMounted(() => {
   justify-content: flex-end;
 }
 .chat-messages {
-  flex: 1;
+  flex: 1 1 auto;
   overflow-y: auto;
   background: #fff;
   border-radius: 8px;
   padding: 24px 16px 80px 16px;
   margin-bottom: 0;
-  min-height: 300px;
+  /* min-height: 300px; */
   box-shadow: 0 2px 8px #0001;
   transition: box-shadow 0.2s;
   scrollbar-width: thin;