Files
WebAI2API/server.js
T
2025-11-23 22:43:43 +08:00

317 lines
13 KiB
JavaScript

import http from 'http';
import fs from 'fs';
import path from 'path';
import sharp from 'sharp';
import { gotScraping } from 'got-scraping';
import config from './lib/config.js';
import { initBrowser, generateImage, TEMP_DIR } from './lib/lmarena.js';
const PORT = config.server.port || 3000;
const AUTH_TOKEN = config.server.auth;
const SERVER_MODE = config.server.type || 'openai'; // 'openai' 或 'queue'
// --- 全局状态 ---
let browserContext = null; // 浏览器上下文 {browser, page, client, width, height}
const queue = []; // 请求队列
let processingCount = 0; // 当前正在处理的任务数
const MAX_CONCURRENT = 1; // 同时处理的任务数 (Puppeteer 只能单线程操作)
const MAX_QUEUE_SIZE = 2; // 最大排队数 (总容量 = MAX_CONCURRENT + MAX_QUEUE_SIZE = 3)
/**
* 处理队列中的任务
*/
async function processQueue() {
// 如果正在处理的任务已满,或队列为空,则停止
if (processingCount >= MAX_CONCURRENT || queue.length === 0) return;
// 取出下一个任务
const task = queue.shift();
processingCount++;
// 如果是 Queue 模式,通知客户端状态变更
if (SERVER_MODE === 'queue' && task.sse) {
task.sse.send('status', { status: 'processing' });
}
try {
console.log(`>>> [Queue] 开始处理任务。剩余排队: ${queue.length}`);
// 确保浏览器已初始化
if (!browserContext) {
browserContext = await initBrowser(config);
}
const { req, res, prompt, imagePaths } = task;
// 调用核心生图逻辑
const result = await generateImage(browserContext, prompt, imagePaths);
// 清理临时图片
for (const p of imagePaths) {
try { fs.unlinkSync(p); } catch (e) { }
}
// 处理结果
let finalContent = '';
let queueResult = {};
if (result.error) {
// 特殊错误处理:reCAPTCHA
if (result.error === 'recaptcha validation failed') {
if (SERVER_MODE === 'openai') {
res.writeHead(500, { 'Content-Type': 'application/json' });
res.end(JSON.stringify({ error: 'recaptcha validation failed' }));
} else {
task.sse.send('result', { status: 'error', image: null, msg: 'recaptcha validation failed' });
task.sse.send('done', '[DONE]');
task.sse.end();
}
return;
}
finalContent = `[生成错误] ${result.error}`;
queueResult = { status: 'error', image: null, msg: result.error };
} else if (result.image) {
try {
console.log('>>> [Download] 正在下载生成结果...');
const response = await gotScraping({
url: result.image,
responseType: 'buffer',
http2: true,
headerGeneratorOptions: {
browsers: [{ name: 'chrome', minVersion: 110 }],
devices: ['desktop'],
locales: ['en-US'],
operatingSystems: ['windows'],
}
});
const imgBuffer = response.body;
// 检测图片格式并转 Base64
const metadata = await sharp(imgBuffer).metadata();
const mimeType = metadata.format === 'png' ? 'image/png' : 'image/jpeg';
const base64 = imgBuffer.toString('base64');
finalContent = `![generated](data:${mimeType};base64,${base64})`;
queueResult = { status: 'completed', image: base64, msg: '' };
console.log('>>> [Response] 图片已转换为 Base64');
} catch (e) {
console.error('>>> [Error] 图片下载失败:', e.message);
finalContent = `[图片下载失败] ${result.image}`;
queueResult = { status: 'error', image: null, msg: `Download failed: ${e.message}` };
}
} else {
finalContent = result.text || '生成失败';
queueResult = { status: 'completed', image: null, msg: result.text };
}
// 发送响应
if (SERVER_MODE === 'openai') {
const response = {
id: 'chatcmpl-' + Date.now(),
object: 'chat.completion',
created: Math.floor(Date.now() / 1000),
model: 'lmarena-image',
choices: [{
index: 0,
message: {
role: 'assistant',
content: finalContent
},
finish_reason: 'stop'
}]
};
res.writeHead(200, { 'Content-Type': 'application/json' });
res.end(JSON.stringify(response));
} else {
// Queue Mode
task.sse.send('result', queueResult);
task.sse.send('done', '[DONE]');
task.sse.end();
}
} catch (err) {
console.error('>>> [Error] 任务处理失败:', err);
if (SERVER_MODE === 'openai') {
if (!task.res.writableEnded) {
task.res.writeHead(500, { 'Content-Type': 'application/json' });
task.res.end(JSON.stringify({ error: err.message }));
}
} else {
task.sse.send('result', { status: 'error', image: null, msg: err.message });
task.sse.send('done', '[DONE]');
task.sse.end();
}
} finally {
processingCount--;
// 递归处理下一个任务
processQueue();
}
}
/**
* 启动 HTTP 服务器
*/
async function startServer() {
// 预先启动浏览器
try {
browserContext = await initBrowser(config);
} catch (err) {
console.error('>>> [Error] 浏览器初始化失败:', err);
process.exit(1);
}
const server = http.createServer(async (req, res) => {
// --- 鉴权中间件 ---
const authHeader = req.headers['authorization'];
if (!authHeader || authHeader !== `Bearer ${AUTH_TOKEN}`) {
res.writeHead(401, { 'Content-Type': 'application/json' });
res.end(JSON.stringify({ error: 'Unauthorized' }));
return;
}
// --- 路由分发 ---
const isQueueMode = SERVER_MODE === 'queue';
const targetPath = isQueueMode ? '/v1/queue/join' : '/v1/chat/completions';
if (req.method === 'POST' && req.url.startsWith(targetPath)) {
// --- SSE 设置 (仅 Queue 模式) ---
let sseHelper = null;
if (isQueueMode) {
res.writeHead(200, {
'Content-Type': 'text/event-stream',
'Cache-Control': 'no-cache',
'Connection': 'keep-alive'
});
sseHelper = {
send: (event, data) => {
res.write(`event: ${event}\n`);
res.write(`data: ${typeof data === 'object' ? JSON.stringify(data) : data}\n\n`);
},
end: () => res.end()
};
// 启动心跳
const heartbeat = setInterval(() => {
if (res.writableEnded) {
clearInterval(heartbeat);
return;
}
sseHelper.send('heartbeat', Date.now());
}, 3000);
}
const chunks = [];
req.on('data', chunk => chunks.push(chunk));
req.on('end', async () => {
try {
// --- 限流检查 (仅 OpenAI 模式) ---
if (!isQueueMode && processingCount + queue.length >= MAX_CONCURRENT + MAX_QUEUE_SIZE) {
console.warn('>>> [Server] 请求过多,已拒绝(限流)');
if (isQueueMode) {
sseHelper.send('error', { msg: 'Too Many Requests' });
sseHelper.end();
} else {
res.writeHead(429, { 'Content-Type': 'application/json' });
res.end(JSON.stringify({ error: 'Too Many Requests. Server is busy.' }));
}
return;
}
const body = Buffer.concat(chunks).toString();
const data = JSON.parse(body);
const messages = data.messages;
if (!messages || messages.length === 0) {
if (isQueueMode) { sseHelper.send('error', { msg: 'No messages' }); sseHelper.end(); }
else { res.writeHead(400); res.end(JSON.stringify({ error: 'No messages' })); }
return;
}
// 筛选用户消息
const userMessages = messages.filter(m => m.role === 'user');
if (userMessages.length === 0) {
if (isQueueMode) { sseHelper.send('error', { msg: 'No user messages' }); sseHelper.end(); }
else { res.writeHead(400); res.end(JSON.stringify({ error: 'No user messages' })); }
return;
}
const lastMessage = userMessages[userMessages.length - 1];
let prompt = '';
const imagePaths = [];
let imageCount = 0;
// 解析内容 (拼接文本 + 处理图片)
if (Array.isArray(lastMessage.content)) {
for (const item of lastMessage.content) {
if (item.type === 'text') {
prompt += item.text + ' ';
} else if (item.type === 'image_url' && item.image_url && item.image_url.url) {
imageCount++;
if (imageCount > 5) {
return;
}
const url = item.image_url.url;
if (url.startsWith('data:image')) {
const matches = url.match(/^data:([A-Za-z-+\/]+);base64,(.+)$/);
if (matches && matches.length === 3) {
const buffer = Buffer.from(matches[2], 'base64');
// 压缩图片
const processedBuffer = await sharp(buffer)
.jpeg({ quality: 90 })
.toBuffer();
const filename = `img_${Date.now()}_${Math.random().toString(36).substring(7)}.jpg`;
const filePath = path.join(TEMP_DIR, filename);
fs.writeFileSync(filePath, processedBuffer);
imagePaths.push(filePath);
}
}
}
}
} else {
prompt = lastMessage.content; // 回落保留
}
prompt = prompt.trim();
console.log(`>>> [Queue] 请求入队 - Prompt: ${prompt}, Images: ${imagePaths.length}`);
if (isQueueMode) {
sseHelper.send('status', { status: 'queued', position: queue.length + 1 });
}
// 将任务加入队列
queue.push({ req, res, prompt, imagePaths, sse: sseHelper });
// 触发队列处理
processQueue();
} catch (err) {
console.error('>>> [Error] 服务器处理失败:', err);
if (isQueueMode && sseHelper) {
sseHelper.send('error', { msg: err.message });
sseHelper.end();
} else if (!res.writableEnded) {
res.writeHead(500, { 'Content-Type': 'application/json' });
res.end(JSON.stringify({ error: err.message }));
}
}
});
} else {
res.writeHead(404);
res.end();
}
});
server.listen(PORT, () => {
console.log(`>>> [Server] HTTP 服务器启动成功,监听端口 ${PORT}`);
console.log(`>>> [Server] 运行模式: ${SERVER_MODE === 'openai' ? 'OpenAI 兼容模式' : 'Queue 队列模式'}`);
if (SERVER_MODE === 'openai') {
console.log(`>>> [Server] 最大并发: ${MAX_CONCURRENT}, 最大排队: ${MAX_QUEUE_SIZE}`);
}
});
}
startServer();