import { getBackend } from '../backend/index.js'; import { getModelsForBackend, resolveModelId } from '../backend/models.js'; import { select, input } from '@inquirer/prompts'; import fs from 'fs'; import path from 'path'; import http from 'http'; import { logger } from './logger.js'; // 使用统一后端获取配置和函数 const { config, name, TEMP_DIR } = getBackend(); logger.info('CLI/Test', `测试工具启动 (后端适配器: ${name})`); /** * 选择模型 */ async function selectModel() { const models = getModelsForBackend(name); const choices = [ { name: 'Skip(使用默认模型)', value: null }, ...models.data.map(m => ({ name: m.id, value: m.id })) ]; const modelId = await select({ message: '选择模型', choices, pageSize: 15 }); return modelId; } /** * 输入提示词 */ async function promptForInput() { const prompt = await input({ message: '输入提示词 (必填)', validate: (val) => val.trim().length > 0 || '提示词不能为空' }); return prompt.trim(); } /** * 输入图片路径 */ async function promptForImages() { const imagePaths = []; while (true) { const imgPath = await input({ message: `输入参考图片路径 (留空跳过,已添加 ${imagePaths.length} 张)`, }); if (!imgPath.trim()) break; const cleanPath = imgPath.trim().replace(/^["']|["']$/g, ''); if (fs.existsSync(cleanPath)) { imagePaths.push(cleanPath); } else { logger.warn('CLI/Test', `图片不存在: ${cleanPath}`); } } return imagePaths; } /** * HTTP 测试模式 - OpenAI 格式 */ async function testViaHttpOpenAI(prompt, modelId, imagePaths) { const PORT = config.server.port || 3000; const AUTH_TOKEN = config.server.auth; const KEEPALIVE_ENABLED = config.server.keepalive?.enable ?? true; logger.info('CLI/Test', 'HTTP 测试 - OpenAI 模式'); if (KEEPALIVE_ENABLED) { logger.info('CLI/Test', '流式保活已启用,将使用 stream=true'); } return new Promise((resolve, reject) => { // 构造请求体 const messages = []; const lastMessage = { role: 'user', content: [] }; if (prompt) { lastMessage.content.push({ type: 'text', text: prompt }); } for (const imgPath of imagePaths) { if (fs.existsSync(imgPath)) { const buffer = fs.readFileSync(imgPath); const base64 = buffer.toString('base64'); const ext = path.extname(imgPath).slice(1).toLowerCase(); const mimeType = ext === 'jpg' ? 'jpeg' : ext; lastMessage.content.push({ type: 'image_url', image_url: { url: `data:image/${mimeType};base64,${base64}` } }); } else { logger.warn('CLI/Test', `图片不存在,已跳过: ${imgPath}`); } } messages.push(lastMessage); const body = { messages, stream: KEEPALIVE_ENABLED, // 如果启用 keepalive,必须使用 stream ...(modelId && { model: modelId }) }; const bodyStr = JSON.stringify(body); const options = { hostname: '127.0.0.1', port: PORT, path: '/v1/chat/completions', method: 'POST', headers: { 'Content-Type': 'application/json', 'Content-Length': Buffer.byteLength(bodyStr), 'Authorization': `Bearer ${AUTH_TOKEN}` } }; const req = http.request(options, (res) => { if (KEEPALIVE_ENABLED) { // 流式响应 let buffer = ''; let contentReceived = ''; res.on('data', chunk => { buffer += chunk.toString(); const lines = buffer.split('\n'); buffer = lines.pop(); // 保留未完成的行 for (const line of lines) { if (!line.trim()) continue; // 跳过心跳注释 if (line.startsWith(':')) continue; if (line.startsWith('data:')) { const data = line.slice(5).trim(); if (data === '[DONE]') continue; try { const chunk = JSON.parse(data); if (chunk.choices && chunk.choices[0].delta && chunk.choices[0].delta.content) { contentReceived += chunk.choices[0].delta.content; } } catch (e) { // 忽略解析错误 } } } }); res.on('end', () => { if (res.statusCode === 200) { resolve({ choices: [{ message: { content: contentReceived } }] }); } else { reject(new Error(`HTTP ${res.statusCode}`)); } }); } else { // 非流式响应 let data = ''; res.on('data', chunk => data += chunk); res.on('end', () => { if (res.statusCode === 200) { const response = JSON.parse(data); resolve(response); } else { reject(new Error(`HTTP ${res.statusCode}: ${data}`)); } }); } }); req.on('error', reject); req.write(bodyStr); req.end(); }); } /** * 保存图片 */ function saveImage(base64Data) { const testSaveDir = path.join(TEMP_DIR, 'testSave'); if (!fs.existsSync(testSaveDir)) { fs.mkdirSync(testSaveDir, { recursive: true }); } const timestamp = Date.now(); const savePath = path.join(testSaveDir, `test_${timestamp}.png`); // 移除 Data URI 前缀(如果有) const cleanBase64 = base64Data.replace(/^data:image\/\w+;base64,/, ''); fs.writeFileSync(savePath, Buffer.from(cleanBase64, 'base64')); logger.info('CLI/Test', `图片已保存: ${savePath}`); return savePath; } /** * 主流程 */ (async () => { try { logger.info('CLI/Test', '=== HTTP 服务器测试 ==='); logger.info('CLI/Test', '请确保服务器已启动 (npm start)'); // 1. 选择模型 const modelId = await selectModel(); if (modelId) { logger.info('CLI/Test', `选择模型: ${modelId}`); } else { logger.info('CLI/Test', '跳过模型选择,使用默认'); } // 2. 输入提示词 const prompt = await promptForInput(); logger.info('CLI/Test', `提示词: ${prompt}`); // 3. 输入图片路径 const imagePaths = await promptForImages(); if (imagePaths.length > 0) { logger.info('CLI/Test', `参考图片: ${imagePaths.join(', ')}`); } // 4. 执行测试 logger.info('CLI/Test', '正在发送请求...'); const result = await testViaHttpOpenAI(prompt, modelId, imagePaths); // 5. 处理响应 if (result.choices) { const content = result.choices[0].message.content; logger.info('CLI/Test', `响应内容: ${content.slice(0, 100)}...`); // 提取图片(如果有) const match = content.match(/!\[.*?\]\((data:image\/[^)]+)\)/); if (match) { saveImage(match[1]); } else { logger.info('CLI/Test', `文本回复: ${content}`); } } logger.info('CLI/Test', '测试完成'); process.exit(0); } catch (err) { logger.error('CLI/Test', '测试失败', { error: err.message }); process.exit(1); } })();