feat: 添加 .env.example 配置示例 & 全环境变量支持
- 新增 .env.example 配置模板，含使用教程和所有供应商参考 - 所有 API 路由支持环境变量 fallback (API_KEY/GEMINI_API_KEY/CLAUDE_API_KEY/OPENAI_API_KEY 等) - 支持自定义端口 (PORT 环境变量) - Electron 启动时自动加载 .env.local - .gitignore 排除 .env.example 以确保模板被追踪
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# ============================================
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# Author App — 环境变量配置
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# ============================================
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#
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# 📖 使用教程:
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#
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# 1. 复制本文件并重命名:
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# 将 .env.example 复制一份，命名为 .env.local
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# （Windows: 复制粘贴后重命名; 命令行: copy .env.example .env.local）
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#
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# 2. 编辑 .env.local:
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# 取消你需要的配置项的注释（删掉行首的 #），填入你自己的值
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# 例如想用智谱AI，只需修改 API_KEY 那一行
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#
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# 3. 启动应用:
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# 配置会自动生效，无需其他操作
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#
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# ⚠️ 注意事项:
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# - 不要直接编辑 .env.example，它只是模板
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# - .env.local 已被 .gitignore 忽略，不会泄露你的 Key
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# - 如果同时在应用内 ⚙️ 设置了配置，应用内设置优先
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# - 只需配置你使用的那一个供应商，不需要全部填写
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#
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# ============================================
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# ==================== 服务端口 ====================
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# 自定义服务端口（默认 3000，被占用时自动递增查找）
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# PORT=3000
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# ==================== OpenAI 兼容 API ====================
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# 适用于: 智谱AI / DeepSeek / SiliconFlow / 火山引擎 / Moonshot 等
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# 所有兼容 OpenAI /v1/chat/completions 格式的供应商均可使用
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# API_KEY=你的Key
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# API_BASE_URL=https://open.bigmodel.cn/api/paas/v4
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# API_MODEL=glm-4-flash
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# 各供应商 Base URL 参考:
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# 智谱AI: https://open.bigmodel.cn/api/paas/v4
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# DeepSeek: https://api.deepseek.com/v1
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# OpenAI: https://api.openai.com/v1
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# SiliconFlow: https://api.siliconflow.cn/v1
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# 火山引擎: https://ark.cn-beijing.volces.com/api/v3
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# Moonshot: https://api.moonshot.cn/v1
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# 各供应商推荐模型:
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# 智谱AI: glm-4-flash (免费) / glm-4-plus / glm-4-long / glm-4
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# DeepSeek: deepseek-chat / deepseek-reasoner
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# SiliconFlow: deepseek-ai/DeepSeek-V3 / Qwen/Qwen2.5-72B-Instruct
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# Moonshot: moonshot-v1-8k / moonshot-v1-32k / moonshot-v1-128k
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# 兼容旧版变量名（优先使用 API_KEY）
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# ZHIPU_API_KEY=
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# ==================== Google Gemini ====================
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# 官网: https://aistudio.google.com
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# GEMINI_API_KEY=你的Key
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# GEMINI_BASE_URL=https://generativelanguage.googleapis.com/v1beta
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# GEMINI_MODEL=gemini-2.0-flash
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# 可选模型: gemini-2.0-flash-lite / gemini-1.5-flash / gemini-1.5-pro
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# OpenAI 兼容模式也可用，将 Base URL 改为:
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# https://generativelanguage.googleapis.com/v1beta/openai
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# 然后使用上方 API_KEY/API_BASE_URL/API_MODEL 配置即可
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# ==================== Claude (Anthropic) ====================
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# 官网: https://console.anthropic.com
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# CLAUDE_API_KEY=你的Key
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# CLAUDE_BASE_URL=https://api.anthropic.com
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# CLAUDE_MODEL=claude-sonnet-4-20250514
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# 可选模型: claude-3-7-sonnet-20250219 / claude-3-5-haiku-20241022
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# ==================== OpenAI Responses API ====================
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# 适用于 OpenAI /v1/responses 格式
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# OPENAI_API_KEY=你的Key
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# OPENAI_BASE_URL=https://api.openai.com/v1
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# OPENAI_MODEL=gpt-4o-mini
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# 可选模型: gpt-4o / gpt-4-turbo / gpt-3.5-turbo
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# ==================== 快速配置示例 ====================
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#
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# 🔹 示例1: 用智谱AI免费模型（最简配置，只需一行）
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# API_KEY=你的智谱Key
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#
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# 🔹 示例2: 用DeepSeek
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# API_KEY=你的DeepSeek_Key
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# API_BASE_URL=https://api.deepseek.com/v1
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# API_MODEL=deepseek-chat
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#
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# 🔹 示例3: 用Gemini
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# GEMINI_API_KEY=你的Gemini_Key
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#
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# 🔹 示例4: 用Claude
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# CLAUDE_API_KEY=你的Claude_Key
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#
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# 🔹 示例5: 自定义端口 + 智谱AI
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# PORT=8080
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# API_KEY=你的智谱Key
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BIN
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@@ -7,9 +7,9 @@ export async function POST(request) {
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try {
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const { systemPrompt, userPrompt, apiConfig, maxTokens, temperature, topP, reasoningEffort } = await request.json();
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const apiKey = apiConfig?.apiKey;
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const baseUrl = (apiConfig?.baseUrl || 'https://api.anthropic.com').replace(/\/$/, '');
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const model = apiConfig?.model || 'claude-sonnet-4-20250514';
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const apiKey = apiConfig?.apiKey || process.env.CLAUDE_API_KEY;
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const baseUrl = (apiConfig?.baseUrl || process.env.CLAUDE_BASE_URL || 'https://api.anthropic.com').replace(/\/$/, '');
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const model = apiConfig?.model || process.env.CLAUDE_MODEL || 'claude-sonnet-4-20250514';
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if (!apiKey) {
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return new Response(
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@@ -10,10 +10,10 @@ export async function POST(request) {
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const apiKey = apiConfig?.apiKey || process.env.GEMINI_API_KEY;
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let rawBaseUrl = apiConfig?.baseUrl;
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if (!rawBaseUrl || rawBaseUrl.includes('open.bigmodel.cn')) {
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rawBaseUrl = 'https://generativelanguage.googleapis.com/v1beta';
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rawBaseUrl = process.env.GEMINI_BASE_URL || 'https://generativelanguage.googleapis.com/v1beta';
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}
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const baseUrl = rawBaseUrl.replace(/\/$/, '');
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const model = apiConfig?.model || 'gemini-2.0-flash';
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const model = apiConfig?.model || process.env.GEMINI_MODEL || 'gemini-2.0-flash';
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if (!apiKey) {
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return new Response(
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@@ -7,9 +7,9 @@ export async function POST(request) {
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try {
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const { systemPrompt, userPrompt, apiConfig, maxTokens, temperature, topP } = await request.json();
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const apiKey = apiConfig?.apiKey;
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const baseUrl = (apiConfig?.baseUrl || 'https://api.openai.com/v1').replace(/\/$/, '');
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const model = apiConfig?.model || 'gpt-4o-mini';
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const apiKey = apiConfig?.apiKey || process.env.OPENAI_API_KEY;
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const baseUrl = (apiConfig?.baseUrl || process.env.OPENAI_BASE_URL || 'https://api.openai.com/v1').replace(/\/$/, '');
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const model = apiConfig?.model || process.env.OPENAI_MODEL || 'gpt-4o-mini';
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if (!apiKey) {
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return new Response(
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+3
-3
@@ -7,9 +7,9 @@ export async function POST(request) {
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try {
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const { systemPrompt, userPrompt, apiConfig, maxTokens, temperature, topP, reasoningEffort } = await request.json();
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const apiKey = apiConfig?.apiKey || process.env.ZHIPU_API_KEY;
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const baseUrl = apiConfig?.baseUrl || 'https://open.bigmodel.cn/api/paas/v4';
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const model = apiConfig?.model || 'glm-4-flash';
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const apiKey = apiConfig?.apiKey || process.env.API_KEY || process.env.ZHIPU_API_KEY;
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const baseUrl = apiConfig?.baseUrl || process.env.API_BASE_URL || 'https://open.bigmodel.cn/api/paas/v4';
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const model = apiConfig?.model || process.env.API_MODEL || 'glm-4-flash';
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if (!apiKey) {
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return new Response(
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+26
-1
@@ -7,6 +7,31 @@ const net = require('net');
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const fs = require('fs');
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const os = require('os');
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// 加载 .env.local（轻量实现，无需 dotenv 依赖）
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(function loadEnvFile() {
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const envPaths = [
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path.join(__dirname, '..', '.env.local'),
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path.join(__dirname, '..', '.env'),
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];
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for (const envPath of envPaths) {
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if (fs.existsSync(envPath)) {
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const lines = fs.readFileSync(envPath, 'utf8').split('\n');
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for (const line of lines) {
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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 && !process.env[key]) {
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process.env[key] = value;
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}
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}
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break; // 只加载第一个找到的文件
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}
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}
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})();
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// 日志文件 - 写到用户桌面方便查看
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const logFile = path.join(app.getPath('desktop'), 'author-debug.log');
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function log(msg) {
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@@ -27,7 +52,7 @@ let mainWindow;
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let serverProcess;
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const isDev = process.argv.includes('--dev');
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const BASE_PORT = 3000;
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const BASE_PORT = parseInt(process.env.PORT, 10) || 3000;
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let actualPort = BASE_PORT;
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let loadRetries = 0;
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const MAX_LOAD_RETRIES = 10;
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