Files
video-create/web/server/ws/chat.ts
2026-05-07 02:36:42 +08:00

62 lines
2.2 KiB
TypeScript

import { WebSocket } from 'ws';
import { randomUUID } from 'crypto';
import { getDb } from '../db';
export function handleChat(ws: WebSocket) {
let conversationId: string | null = null;
ws.on('message', async (raw) => {
try {
const msg = JSON.parse(raw.toString());
if (msg.type === 'init') {
conversationId = msg.conversationId || randomUUID();
const history = getDb().prepare(
'SELECT * FROM messages WHERE conversation_id = ? ORDER BY created_at'
).all(conversationId);
ws.send(JSON.stringify({ type: 'history', data: { conversationId, messages: history } }));
return;
}
if (msg.type === 'chat') {
const { content } = msg;
const msgId = randomUUID();
getDb().prepare(
'INSERT INTO messages (id, conversation_id, role, content) VALUES (?, ?, ?, ?)'
).run(msgId, conversationId, 'user', content);
ws.send(JSON.stringify({ type: 'message', data: { id: msgId, role: 'user', content } }));
// Assistant echo (placeholder until LLM integration in Task 3.3)
const assistantId = randomUUID();
const assistantContent = `收到你的消息:「${content}」。Agent 引擎正在启动中...`;
getDb().prepare(
'INSERT INTO messages (id, conversation_id, role, content) VALUES (?, ?, ?, ?)'
).run(assistantId, conversationId, 'assistant', assistantContent);
ws.send(JSON.stringify({
type: 'message',
data: { id: assistantId, role: 'assistant', content: assistantContent },
}));
}
if (msg.type === 'create_conversation') {
const { title, accountId } = msg;
conversationId = randomUUID();
getDb().prepare(
'INSERT INTO conversations (id, title, account_id) VALUES (?, ?, ?)'
).run(conversationId, title || '新对话', accountId || null);
ws.send(JSON.stringify({ type: 'conversation_created', data: { id: conversationId, title } }));
}
} catch (e) {
ws.send(JSON.stringify({ type: 'error', data: { message: (e as Error).message } }));
}
});
ws.on('close', () => {
// cleanup if needed
});
}