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