add prompt assistant

prompt/consumers.py

@@ -3,7 +3,7 @@ from channels.generic.websocket import AsyncWebsocketConsumer
 from channels.db import database_sync_to_async
 from django.db.models import Count
 from .models import Conversation, Message
-from .llm import stream_chat, extract_code
+from .llm import stream_chat, extract_code, stream_guidance, parse_guidance_response
 
 
 class PromptConsumer(AsyncWebsocketConsumer):
@@ -126,3 +126,93 @@ class PromptConsumer(AsyncWebsocketConsumer):
     def get_history_for_llm(self):
         messages = self.conversation.messages.filter(source="conversation")
         return [{"role": m.role, "content": m.content} for m in messages]
+
+
+class GuidanceConsumer(AsyncWebsocketConsumer):
+    async def connect(self):
+        self.user = self.scope["user"]
+        if self.user.is_anonymous:
+            await self.close()
+            return
+
+        self.task_id = int(self.scope["url_route"]["kwargs"]["task_id"])
+        self.current_user_message = None
+        self.session_messages = []
+        await self.accept()
+
+        self.conversation = await self.get_or_create_conversation()
+        await self.send(text_data=json.dumps({"type": "init", "messages": []}))
+
+    async def disconnect(self, close_code):
+        if self.current_user_message:
+            await self.delete_message(self.current_user_message)
+            self.current_user_message = None
+
+    async def receive(self, text_data):
+        data = json.loads(text_data)
+        prompt = data.get("content", "").strip()
+        if not prompt:
+            return
+
+        self.current_user_message = await self.save_message("user", prompt)
+        self.session_messages.append({"role": "user", "content": prompt})
+
+        try:
+            full_response = ""
+            try:
+                async for chunk in stream_guidance(self.session_messages):
+                    full_response += chunk
+                    await self.send(text_data=json.dumps({
+                        "type": "stream",
+                        "content": chunk,
+                    }))
+            except Exception as e:
+                await self.send(text_data=json.dumps({
+                    "type": "error",
+                    "content": f"AI 服务出错：{str(e)}",
+                }))
+                return
+
+            clean_response, is_ready = parse_guidance_response(full_response)
+            self.session_messages.append({
+                "role": "assistant",
+                "content": clean_response,
+            })
+            assistant_msg = await self.save_message("assistant", clean_response)
+            self.current_user_message = None
+
+            await self.send(text_data=json.dumps({
+                "type": "complete",
+                "message_id": assistant_msg.id,
+                "is_ready": is_ready,
+            }))
+
+        finally:
+            if self.current_user_message:
+                await self.delete_message(self.current_user_message)
+                self.current_user_message = None
+
+    @database_sync_to_async
+    def get_or_create_conversation(self):
+        conv = (
+            Conversation.objects.filter(user=self.user, task_id=self.task_id)
+            .annotate(msg_count=Count("messages"))
+            .order_by("-msg_count", "-created")
+            .first()
+        )
+        if not conv:
+            conv = Conversation.objects.create(user=self.user, task_id=self.task_id)
+        return conv
+
+    @database_sync_to_async
+    def delete_message(self, message):
+        message.delete()
+
+    @database_sync_to_async
+    def save_message(self, role, content):
+        return Message.objects.create(
+            conversation=self.conversation,
+            role=role,
+            source="guidance",
+            content=content,
+        )