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266 lines
8.7 KiB
266 lines
8.7 KiB
import { execSync, spawn } from "node:child_process";
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import { existsSync, rmSync, writeFileSync, readFileSync } from "node:fs";
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import path from "node:path";
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import { createClient } from "@libsql/client";
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import { createServer, type Server } from "node:http";
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const ROOT = path.resolve(import.meta.dirname, "..");
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const OUTPUT_DIR = path.join(ROOT, ".output");
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const TEST_DB = path.join(ROOT, "packages", "drizzle-pkg", "db.test.sqlite");
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const MOCK_LLM_PORT = Number(process.env.MOCK_LLM_PORT) || 3600;
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const MOCK_REPLY = "你好！这是一个测试回复。";
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let mockLlmServer: Server | null = null;
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function startMockLlm(): Promise<void> {
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return new Promise((resolve) => {
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mockLlmServer = createServer((req, res) => {
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res.setHeader("Access-Control-Allow-Origin", "*");
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res.setHeader("Access-Control-Allow-Headers", "*");
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res.setHeader("Access-Control-Allow-Methods", "*");
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if (req.method === "OPTIONS") {
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res.writeHead(204);
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res.end();
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return;
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}
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const url = req.url || "";
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if (url.startsWith("/v1/chat/completions") && req.method === "POST") {
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let body = "";
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req.on("data", (chunk: Buffer) => { body += chunk.toString(); });
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req.on("end", () => {
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let parsed: any = {};
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try { parsed = JSON.parse(body); } catch { parsed = {}; }
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const model = parsed.model || "mock-model";
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const chars = Array.from(MOCK_REPLY);
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res.writeHead(200, {
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"Content-Type": "text/event-stream",
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"Cache-Control": "no-cache",
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Connection: "keep-alive",
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});
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let idx = 0;
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const timer = setInterval(() => {
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if (idx < chars.length) {
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const sseData = JSON.stringify({
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id: "chatcmpl-mock",
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object: "chat.completion.chunk",
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created: Math.floor(Date.now() / 1000),
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model,
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choices: [{ index: 0, delta: { content: chars[idx] }, finish_reason: null }],
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});
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res.write(`data: ${sseData}\n\n`);
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idx++;
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} else {
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const doneData = JSON.stringify({
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id: "chatcmpl-mock",
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object: "chat.completion.chunk",
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created: Math.floor(Date.now() / 1000),
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model,
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choices: [{ index: 0, delta: {}, finish_reason: "stop" }],
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});
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res.write(`data: ${doneData}\n\n`);
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res.write("data: [DONE]\n\n");
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res.end();
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clearInterval(timer);
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}
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}, 20);
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});
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return;
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}
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res.writeHead(404, { "Content-Type": "application/json" });
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res.end(JSON.stringify({ error: "not found" }));
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});
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mockLlmServer.listen(MOCK_LLM_PORT, () => {
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log(`[mock-llm] listening on http://localhost:${MOCK_LLM_PORT}`);
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resolve();
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});
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});
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}
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function log(msg: string) {
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console.log(`[global-setup] ${msg}`);
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}
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/**
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* 解析 .env.test 文件并注入到 process.env（不覆盖已有值）
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*/
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function loadEnvTest() {
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const envPath = path.join(ROOT, ".env.test");
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if (!existsSync(envPath)) {
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throw new Error(`.env.test not found at ${envPath}`);
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}
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const content = readFileSync(envPath, "utf-8");
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for (const line of content.split("\n")) {
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const trimmed = line.trim();
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if (!trimmed || trimmed.startsWith("#")) continue;
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const eqIdx = trimmed.indexOf("=");
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if (eqIdx === -1) continue;
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const key = trimmed.slice(0, eqIdx).trim();
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const value = trimmed.slice(eqIdx + 1).trim();
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if (!(key in process.env)) {
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process.env[key] = value;
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}
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}
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log(`Loaded .env.test: E2E_TEST_MODE=${process.env.E2E_TEST_MODE}, NITRO_PORT=${process.env.NITRO_PORT}`);
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}
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async function main() {
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// 1. 加载 .env.test
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loadEnvTest();
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// 2. 删除旧测试数据库
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if (existsSync(TEST_DB)) {
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log(`Removing old test DB: ${TEST_DB}`);
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rmSync(TEST_DB, { force: true });
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}
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// 3. Build
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log("Building Nuxt app with test env...");
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execSync("bun run build", {
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cwd: ROOT,
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stdio: "pipe",
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env: { ...process.env },
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});
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log("Build complete.");
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// 4. 在 .output 中运行迁移
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log("Running migrations...");
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const migrateScript = path.join(OUTPUT_DIR, "server", "migrate", "sqlite3.js");
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const migrationsDir = path.join(OUTPUT_DIR, "migrations");
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execSync(`node "${migrateScript}" "${migrationsDir}"`, {
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cwd: OUTPUT_DIR,
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stdio: "pipe",
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env: {
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...process.env,
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DATABASE_URL: `file:${TEST_DB}`,
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},
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});
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log("Migrations complete.");
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// 5. 在 .output 中运行 seed（创建管理员账号）
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log("Running seed...");
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const seedScript = path.join(OUTPUT_DIR, "server", "seed", "sqlite3.js");
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execSync(`node "${seedScript}"`, {
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cwd: OUTPUT_DIR,
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stdio: "pipe",
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env: {
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...process.env,
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DATABASE_URL: `file:${TEST_DB}`,
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BOOTSTRAP_ADMIN_USERNAME: process.env.BOOTSTRAP_ADMIN_USERNAME || "e2e_admin",
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BOOTSTRAP_ADMIN_PASSWORD: process.env.BOOTSTRAP_ADMIN_PASSWORD || "e2e_test_pass_123",
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},
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});
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log("Seed complete.");
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// 6. 启动 mock LLM 服务器
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log(`Starting mock LLM server on port ${MOCK_LLM_PORT}...`);
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await startMockLlm();
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// 7. 向测试数据库插入 LLM provider + model + 用户配置
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log("Seeding LLM provider, model, and user config...");
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await seedLlmData(TEST_DB);
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// 8. 启动 preview 服务器
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log("Starting preview server...");
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const serverProcess = spawn("node", ["server/index.mjs"], {
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cwd: OUTPUT_DIR,
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stdio: "pipe",
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env: {
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...process.env,
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DATABASE_URL: `file:${TEST_DB}`,
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NODE_ENV: "production",
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NITRO_PORT: process.env.NITRO_PORT || "3400",
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APP_URL: process.env.APP_URL || "http://localhost:3400",
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E2E_TEST_MODE: "true",
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E2E_FIXED_CAPTCHA: process.env.E2E_FIXED_CAPTCHA || "test1234",
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},
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});
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serverProcess.stdout?.on("data", (data) => {
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log(`[server] ${data.toString().trim()}`);
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});
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serverProcess.stderr?.on("data", (data) => {
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log(`[server:err] ${data.toString().trim()}`);
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});
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// 9. 等待服务器就绪
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const PORT = process.env.NITRO_PORT || "3400";
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const BASE_URL = `http://localhost:${PORT}`;
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log(`Waiting for server at ${BASE_URL}...`);
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const maxRetries = 60;
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const retryInterval = 1000;
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for (let i = 0; i < maxRetries; i++) {
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try {
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const res = await fetch(`${BASE_URL}/api/config/global`);
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if (res.ok) {
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log(`Server is ready! (took ${i + 1} retries)`);
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break;
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}
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} catch {
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// 服务器还没启动
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}
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if (i === maxRetries - 1) {
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throw new Error(`Server failed to start within ${maxRetries} seconds`);
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}
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await new Promise((resolve) => setTimeout(resolve, retryInterval));
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}
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// 10. 保存 server PID 供 teardown 使用
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const pidFile = path.join(ROOT, ".e2e-server-pid");
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writeFileSync(pidFile, String(serverProcess.pid));
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log("Global setup complete!");
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}
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/**
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* 向测试数据库插入 LLM provider、model 和用户配置，
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* 使 agent chat 能通过 mock LLM 服务器完成对话。
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*/
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async function seedLlmData(dbPath: string) {
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const client = createClient({ url: `file:${dbPath}` });
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try {
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// 插入 LLM provider（userId = 1，即 bootstrap admin）
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await client.execute({
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sql: `INSERT INTO llm_providers (user_id, name, slug, base_url, parse_mode, api_key, status)
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VALUES (1, 'Mock Provider', 'mock-provider', ?, 'openai-compatible', 'mock-api-key', 'active')`,
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args: [`http://localhost:${MOCK_LLM_PORT}/v1`],
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});
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// 获取刚插入的 provider id
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const providerRs = await client.execute(
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`SELECT id FROM llm_providers WHERE slug = 'mock-provider' AND user_id = 1 LIMIT 1`,
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);
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const providerId = providerRs.rows[0]?.id;
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if (!providerId) {
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throw new Error("Failed to insert mock LLM provider");
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}
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// 插入 LLM model
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await client.execute({
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sql: `INSERT INTO llm_models (provider_id, name, model_id, type, enabled, supports_tools, max_tokens)
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VALUES (?, 'Mock Model', 'mock-model', 'text', 1, 0, 1024)`,
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args: [Number(providerId)],
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});
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// 获取刚插入的 model id
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const modelRs = await client.execute(
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`SELECT id FROM llm_models WHERE model_id = 'mock-model' LIMIT 1`,
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);
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const modelId = modelRs.rows[0]?.id;
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if (!modelId) {
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throw new Error("Failed to insert mock LLM model");
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}
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// 设置 admin 用户的 preferredLlmModelId
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await client.execute({
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sql: `INSERT INTO user_configs (user_id, key, value, value_type)
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VALUES (1, 'preferredLlmModelId', ?, 'number')`,
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args: [String(Number(modelId))],
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});
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log(`LLM seed complete: provider=${providerId}, model=${modelId}`);
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} finally {
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client.close();
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}
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}
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export default main;
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