add chat

prompt/consumers.py

@@ -0,0 +1,133 @@
+import json
+from channels.generic.websocket import AsyncWebsocketConsumer
+from channels.db import database_sync_to_async
+from .models import Conversation, Message
+from .llm import stream_chat, extract_code
+
+
+class PromptConsumer(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"])
+        await self.accept()
+
+        # Load or create conversation, send history
+        self.conversation = await self.get_or_create_conversation()
+        history = await self.get_history()
+        await self.send(text_data=json.dumps({
+            "type": "init",
+            "conversation_id": str(self.conversation.id),
+            "messages": history,
+        }))
+
+    async def disconnect(self, close_code):
+        pass
+
+    async def receive(self, text_data):
+        data = json.loads(text_data)
+        msg_type = data.get("type", "message")
+
+        if msg_type == "new_conversation":
+            self.conversation = await self.create_conversation()
+            await self.send(text_data=json.dumps({
+                "type": "init",
+                "conversation_id": str(self.conversation.id),
+                "messages": [],
+            }))
+            return
+
+        prompt = data.get("content", "").strip()
+        if not prompt:
+            return
+
+        # Save user message
+        await self.save_message("user", prompt)
+
+        # Build history for LLM
+        history = await self.get_history_for_llm()
+        task_content = await self.get_task_content()
+
+        # Stream AI response
+        full_response = ""
+        try:
+            async for chunk in stream_chat(task_content, history):
+                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
+
+        # Extract code and save assistant message
+        code = extract_code(full_response)
+        await self.save_message("assistant", full_response, code)
+
+        # Send completion with extracted code
+        await self.send(text_data=json.dumps({
+            "type": "complete",
+            "code": code,
+        }))
+
+    @database_sync_to_async
+    def get_or_create_conversation(self):
+        conv = Conversation.objects.filter(
+            user=self.user, task_id=self.task_id, is_active=True
+        ).first()
+        if not conv:
+            conv = Conversation.objects.create(user=self.user, task_id=self.task_id)
+        return conv
+
+    @database_sync_to_async
+    def create_conversation(self):
+        Conversation.objects.filter(
+            user=self.user, task_id=self.task_id, is_active=True
+        ).update(is_active=False)
+        return Conversation.objects.create(user=self.user, task_id=self.task_id)
+
+    @database_sync_to_async
+    def save_message(self, role, content, code=None):
+        return Message.objects.create(
+            conversation=self.conversation,
+            role=role,
+            content=content,
+            code_html=code.get("html") if code else None,
+            code_css=code.get("css") if code else None,
+            code_js=code.get("js") if code else None,
+        )
+
+    @database_sync_to_async
+    def get_history(self):
+        messages = self.conversation.messages.all()
+        return [
+            {
+                "role": m.role,
+                "content": m.content,
+                "code": {
+                    "html": m.code_html,
+                    "css": m.code_css,
+                    "js": m.code_js,
+                } if m.role == "assistant" else None,
+                "created": m.created.isoformat(),
+            }
+            for m in messages
+        ]
+
+    @database_sync_to_async
+    def get_history_for_llm(self):
+        messages = self.conversation.messages.all()
+        return [{"role": m.role, "content": m.content} for m in messages]
+
+    @database_sync_to_async
+    def get_task_content(self):
+        from task.models import Task
+        task = Task.objects.get(id=self.task_id)
+        return task.content