This commit is contained in:
MarkLo
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.env.example
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.env.example
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# Required API Keys
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ALPHA_VANTAGE_API_KEY=alpha_vantage_api_key_placeholder
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OPENAI_API_KEY=openai_api_key_placeholder
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# Optional API Keys (for alternative LLM providers)
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CLAUDE_API_KEY=claude_api_key_placeholder
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GEMINI_API_KEY=gemini_api_key_placeholder
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OPENROUTER_API_KEY=openrouter_api_key_placeholder
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OPENROUTER_API_KEY=openrouter_api_key_placeholder
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# Deployment Configuration
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TRADINGAGENTS_RESULTS_DIR=/app/results
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PYTHON_VERSION=3.13
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# Frontend Configuration (for deployment)
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NEXT_PUBLIC_API_URL=http://localhost:8000
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@ -0,0 +1,471 @@
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# TradingAgents 雲端部署指南 🚀
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本指南提供將 TradingAgents 部署到雲端的完整步驟，**重點介紹完全免費的部署方案**。
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## 📋 目錄
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- [免費部署方案（推薦）](#免費部署方案推薦)
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- [部署前準備](#部署前準備)
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- [方案 1: Vercel + Render (完全免費)](#方案-1-vercel--render-完全免費)
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- [方案 2: Railway (免費額度)](#方案-2-railway-免費額度)
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- [方案 3: Docker Compose (自有伺服器)](#方案-3-docker-compose-自有伺服器)
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- [環境變數配置](#環境變數配置)
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- [故障排除](#故障排除)
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---
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## 🎯 免費部署方案（推薦）
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### 最佳免費組合：Vercel (Frontend) + Render (Backend)
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| 服務 | 平台 | 免費額度 | 限制 |
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|------|------|----------|------|
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| **Frontend** | Vercel | 無限制 | 100GB 頻寬/月 |
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| **Backend** | Render | 750 小時/月 | 休眠機制（15分鐘無活動） |
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> [!TIP]
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> Render 的免費方案會在 15 分鐘無活動後休眠，首次訪問需要 30-60 秒喚醒。這對於測試和個人使用完全足夠！
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---
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## 🔧 部署前準備
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### 1. 必要的 API 密鑰
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您需要準備以下 API 密鑰：
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#### OpenAI API Key（必需）
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- 註冊：https://platform.openai.com/
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- 獲取 API Key：https://platform.openai.com/api-keys
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- 費用：按使用量計費（建議使用 gpt-4o-mini 節省成本）
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#### Alpha Vantage API Key（必需）
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- 註冊：https://www.alphavantage.co/support/#api-key
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- **完全免費**，TradingAgents 用戶享有 60 請求/分鐘
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### 2. GitHub 帳號
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所有免費部署方案都需要 GitHub 帳號來連接代碼倉庫。
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---
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## 🎨 方案 1: Vercel + Render (完全免費)
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這是**最推薦的免費方案**，前端和後端分別部署。
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### Step 1: 部署 Backend 到 Render
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#### 1.1 準備代碼
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確保您的代碼已推送到 GitHub。
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#### 1.2 創建 Render 帳號
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訪問 https://render.com/ 並使用 GitHub 登入。
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#### 1.3 創建新的 Web Service
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1. 點擊 "New +" → "Web Service"
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2. 連接您的 GitHub 倉庫
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3. 配置如下：
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```
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Name: tradingagents-backend
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Region: Singapore (或最近的區域)
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Branch: main
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Root Directory: backend
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Runtime: Python 3
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Build Command: pip install -r requirements.txt
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Start Command: uvicorn app.main:app --host 0.0.0.0 --port $PORT
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```
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#### 1.4 設置環境變數
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在 Render 的 Environment 頁面添加：
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```bash
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OPENAI_API_KEY=your_openai_api_key_here
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ALPHA_VANTAGE_API_KEY=your_alpha_vantage_key_here
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TRADINGAGENTS_RESULTS_DIR=/opt/render/project/src/results
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PYTHON_VERSION=3.11
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```
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#### 1.5 選擇免費方案
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- Instance Type: **Free**
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- 點擊 "Create Web Service"
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部署需要 5-10 分鐘。完成後，您會獲得一個 URL，例如：
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```
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https://tradingagents-backend.onrender.com
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```
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### Step 2: 部署 Frontend 到 Vercel
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#### 2.1 創建 Vercel 帳號
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訪問 https://vercel.com/ 並使用 GitHub 登入。
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#### 2.2 導入項目
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1. 點擊 "Add New..." → "Project"
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2. 選擇您的 GitHub 倉庫
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3. 配置如下：
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```
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Framework Preset: Next.js
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Root Directory: frontend
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Build Command: npm run build
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Output Directory: .next
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Install Command: npm install
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```
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#### 2.3 設置環境變數
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在 Environment Variables 添加：
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```bash
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NEXT_PUBLIC_API_URL=https://tradingagents-backend.onrender.com
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```
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> [!IMPORTANT]
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> 將 `tradingagents-backend.onrender.com` 替換為您在 Step 1 獲得的實際 Render URL。
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#### 2.4 部署
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點擊 "Deploy"，等待 2-3 分鐘。完成後，您會獲得一個 URL，例如：
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```
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https://tradingagents.vercel.app
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```
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### Step 3: 更新 Backend CORS 設置
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為了讓前端能夠訪問後端，需要更新 Backend 的 CORS 配置。
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編輯 `backend/app/main.py`，找到 CORS 配置部分，添加您的 Vercel URL：
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```python
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app.add_middleware(
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CORSMiddleware,
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allow_origins=[
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"http://localhost:3000",
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"https://tradingagents.vercel.app", # 添加您的 Vercel URL
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],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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```
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提交並推送更改，Render 會自動重新部署。
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### ✅ 完成！
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訪問您的 Vercel URL，應用程式現在已經在線上運行了！
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---
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## 🚂 方案 2: Railway (免費額度)
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Railway 提供 $5 免費額度/月，可以同時部署前後端。
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### Step 1: 創建 Railway 帳號
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訪問 https://railway.app/ 並使用 GitHub 登入。
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### Step 2: 創建新項目
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1. 點擊 "New Project"
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2. 選擇 "Deploy from GitHub repo"
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3. 選擇您的倉庫
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### Step 3: 添加服務
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#### 3.1 添加 Backend 服務
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1. 點擊 "New Service" → "GitHub Repo"
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2. 配置：
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- Root Directory: `backend`
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- Build Command: `pip install -r requirements.txt`
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- Start Command: `uvicorn app.main:app --host 0.0.0.0 --port $PORT`
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3. 添加環境變數：
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```bash
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OPENAI_API_KEY=your_key_here
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ALPHA_VANTAGE_API_KEY=your_key_here
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TRADINGAGENTS_RESULTS_DIR=/app/results
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```
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4. 在 Settings → Networking 中生成一個公開域名
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#### 3.2 添加 Frontend 服務
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1. 點擊 "New Service" → "GitHub Repo"
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2. 配置：
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- Root Directory: `frontend`
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- Build Command: `npm install && npm run build`
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- Start Command: `npm start`
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3. 添加環境變數：
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```bash
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NEXT_PUBLIC_API_URL=https://your-backend-url.railway.app
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```
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4. 在 Settings → Networking 中生成一個公開域名
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### ✅ 完成！
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兩個服務都會自動部署，您可以通過生成的域名訪問。
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> [!WARNING]
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> Railway 免費額度為 $5/月，通常可以運行約 500 小時。超出後需要付費。
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---
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## 🐳 方案 3: Docker Compose (自有伺服器)
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如果您有自己的 VPS（如 DigitalOcean、Linode、AWS EC2 等），可以使用 Docker Compose。
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### 前置要求
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- 安裝 Docker 和 Docker Compose
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- 至少 2GB RAM
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- 開放端口 80 和 443
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### Step 1: 準備環境變數
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創建 `.env` 文件：
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```bash
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cp .env.example .env
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```
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編輯 `.env`，填入您的 API 密鑰：
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```bash
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OPENAI_API_KEY=your_openai_api_key
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ALPHA_VANTAGE_API_KEY=your_alpha_vantage_key
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TRADINGAGENTS_RESULTS_DIR=/app/results
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```
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### Step 2: 修改 docker-compose.yml
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確保 frontend 的環境變數指向正確的後端 URL：
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```yaml
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environment:
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- NEXT_PUBLIC_API_URL=http://your-server-ip:8000
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```
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### Step 3: 構建並啟動
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```bash
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# 構建鏡像
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docker-compose build
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# 啟動服務
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docker-compose up -d
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# 查看日誌
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docker-compose logs -f
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```
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### Step 4: 訪問應用
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- Frontend: http://your-server-ip:3000
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- Backend API: http://your-server-ip:8000
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### 使用 Nginx 反向代理（可選）
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為了使用域名和 HTTPS，可以配置 Nginx：
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```nginx
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server {
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listen 80;
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server_name yourdomain.com;
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location / {
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proxy_pass http://localhost:3000;
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proxy_http_version 1.1;
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proxy_set_header Upgrade $http_upgrade;
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proxy_set_header Connection 'upgrade';
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proxy_set_header Host $host;
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proxy_cache_bypass $http_upgrade;
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}
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location /api {
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proxy_pass http://localhost:8000;
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proxy_http_version 1.1;
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proxy_set_header Host $host;
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proxy_set_header X-Real-IP $remote_addr;
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}
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}
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```
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使用 Certbot 獲取免費 SSL 證書：
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```bash
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sudo certbot --nginx -d yourdomain.com
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```
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---
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## 🔐 環境變數配置
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### Backend 環境變數
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| 變數名 | 必需 | 說明 | 範例 |
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|--------|------|------|------|
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| `OPENAI_API_KEY` | ✅ | OpenAI API 密鑰 | `sk-...` |
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| `ALPHA_VANTAGE_API_KEY` | ✅ | Alpha Vantage API 密鑰 | `YOUR_KEY` |
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| `TRADINGAGENTS_RESULTS_DIR` | ⚠️ | 結果存儲目錄 | `/app/results` |
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| `PYTHON_VERSION` | ❌ | Python 版本（Render） | `3.11` |
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### Frontend 環境變數
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| 變數名 | 必需 | 說明 | 範例 |
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|--------|------|------|------|
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| `NEXT_PUBLIC_API_URL` | ✅ | Backend API URL | `https://api.yourdomain.com` |
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> [!CAUTION]
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> 永遠不要在前端代碼中硬編碼 API 密鑰！所有敏感信息應該在後端處理。
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---
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## 🔧 故障排除
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### Backend 問題
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#### 問題：Render 服務休眠
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**症狀**：首次訪問需要等待 30-60 秒
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|
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**解決方案**：
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- 這是 Render 免費方案的正常行為
|
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- 可以使用 UptimeRobot 等服務定期 ping 您的 API 保持喚醒
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- 或升級到付費方案（$7/月）
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|
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#### 問題：ModuleNotFoundError
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**症狀**：找不到 `tradingagents` 模組
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|
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**解決方案**：
|
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確保 `backend/Dockerfile` 正確複製了 tradingagents 目錄：
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```dockerfile
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COPY ../tradingagents ./tradingagents
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```
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#### 問題：API 速率限制
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**症狀**：Alpha Vantage 返回 429 錯誤
|
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|
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**解決方案**：
|
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- 確認使用的是 TradingAgents 專用 API key（60 req/min）
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- 或在 `tradingagents/default_config.py` 中切換到其他數據源
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|
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### Frontend 問題
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|
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#### 問題：CORS 錯誤
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**症狀**：瀏覽器控制台顯示 CORS 錯誤
|
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|
||||
**解決方案**：
|
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在 `backend/app/main.py` 中添加您的前端 URL 到 CORS 白名單：
|
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```python
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allow_origins=[
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"https://your-frontend-url.vercel.app",
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]
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```
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|
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#### 問題：API 連接失敗
|
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**症狀**：前端無法連接到後端
|
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|
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**解決方案**：
|
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1. 檢查 `NEXT_PUBLIC_API_URL` 環境變數是否正確
|
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2. 確保後端服務正在運行
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3. 檢查後端 URL 是否可以公開訪問
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|
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### Docker 問題
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#### 問題：構建失敗
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**症狀**：`docker-compose build` 失敗
|
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|
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**解決方案**：
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```bash
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# 清理舊的鏡像和緩存
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docker-compose down -v
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docker system prune -a
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# 重新構建
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docker-compose build --no-cache
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```
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#### 問題：容器無法啟動
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**症狀**：`docker-compose up` 後容器立即退出
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|
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**解決方案**：
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```bash
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# 查看詳細日誌
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docker-compose logs backend
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docker-compose logs frontend
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# 檢查環境變數
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docker-compose config
|
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```
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|
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---
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## 📊 成本估算
|
||||
|
||||
### 完全免費方案（Vercel + Render）
|
||||
|
||||
| 項目 | 成本 |
|
||||
|------|------|
|
||||
| Frontend (Vercel) | **$0** |
|
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| Backend (Render) | **$0** |
|
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| Alpha Vantage API | **$0** |
|
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| OpenAI API | 按使用量（建議使用 gpt-4o-mini） |
|
||||
|
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**預估 OpenAI 成本**：
|
||||
- 使用 `gpt-4o-mini`：約 $0.01-0.05 每次交易分析
|
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- 每天 10 次分析：約 $3-15/月
|
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|
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### Railway 方案
|
||||
|
||||
| 項目 | 成本 |
|
||||
|------|------|
|
||||
| Railway 免費額度 | $5/月（免費） |
|
||||
| 超出後 | $0.000231/GB-s |
|
||||
| OpenAI API | 按使用量 |
|
||||
|
||||
---
|
||||
|
||||
## 🎯 推薦配置
|
||||
|
||||
### 個人測試使用
|
||||
- **平台**：Vercel + Render（免費）
|
||||
- **LLM**：gpt-4o-mini（節省成本）
|
||||
- **配置**：
|
||||
```python
|
||||
config["deep_think_llm"] = "gpt-4o-mini"
|
||||
config["quick_think_llm"] = "gpt-4o-mini"
|
||||
config["max_debate_rounds"] = 1
|
||||
```
|
||||
|
||||
### 生產環境
|
||||
- **平台**：Vercel + Railway（或 Render 付費方案）
|
||||
- **LLM**：gpt-4o 或 o1-preview
|
||||
- **配置**：使用默認配置
|
||||
- **監控**：添加 Sentry 或 LogRocket
|
||||
|
||||
---
|
||||
|
||||
## 📚 相關資源
|
||||
|
||||
- [Vercel 文檔](https://vercel.com/docs)
|
||||
- [Render 文檔](https://render.com/docs)
|
||||
- [Railway 文檔](https://docs.railway.app/)
|
||||
- [TradingAgents GitHub](https://github.com/TauricResearch/TradingAgents)
|
||||
- [Alpha Vantage API](https://www.alphavantage.co/documentation/)
|
||||
|
||||
---
|
||||
|
||||
## 🤝 需要幫助？
|
||||
|
||||
如果遇到問題：
|
||||
1. 查看上面的[故障排除](#故障排除)部分
|
||||
2. 檢查 GitHub Issues
|
||||
3. 加入 [Discord 社群](https://discord.com/invite/hk9PGKShPK)
|
||||
|
||||
---
|
||||
|
||||
**祝您部署順利！** 🚀
|
||||
|
|
@ -29,7 +29,8 @@ COPY --from=builder /usr/local/bin /usr/local/bin
|
|||
COPY ./app ./app
|
||||
|
||||
# Copy tradingagents package from parent directory
|
||||
COPY ../tradingagents ./tradingagents
|
||||
# Note: This assumes docker-compose builds from project root with context
|
||||
COPY ./tradingagents ./tradingagents
|
||||
|
||||
# Create results directory
|
||||
RUN mkdir -p /app/results
|
||||
|
|
|
|||
|
|
@ -22,6 +22,9 @@ class Settings(BaseSettings):
|
|||
cors_origins: list = [
|
||||
"http://localhost:3000",
|
||||
"http://frontend:3000",
|
||||
"https://*.vercel.app", # Vercel deployments
|
||||
"https://*.onrender.com", # Render deployments
|
||||
"https://*.railway.app", # Railway deployments
|
||||
]
|
||||
|
||||
# TradingAgents Configuration
|
||||
|
|
|
|||
|
|
@ -0,0 +1,173 @@
|
|||
#!/bin/bash
|
||||
|
||||
# TradingAgents Deployment Helper Script
|
||||
# This script helps prepare your project for deployment
|
||||
|
||||
set -e
|
||||
|
||||
echo "🚀 TradingAgents Deployment Helper"
|
||||
echo "=================================="
|
||||
echo ""
|
||||
|
||||
# Check if .env file exists
|
||||
if [ ! -f .env ]; then
|
||||
echo "⚠️ No .env file found. Creating from .env.example..."
|
||||
cp .env.example .env
|
||||
echo "✅ Created .env file. Please edit it with your API keys."
|
||||
echo ""
|
||||
fi
|
||||
|
||||
# Function to check if API key is set
|
||||
check_api_key() {
|
||||
local key_name=$1
|
||||
local key_value=$(grep "^${key_name}=" .env | cut -d '=' -f2)
|
||||
|
||||
if [ -z "$key_value" ] || [ "$key_value" = "${key_name,,}_placeholder" ]; then
|
||||
echo "❌ $key_name is not set"
|
||||
return 1
|
||||
else
|
||||
echo "✅ $key_name is set"
|
||||
return 0
|
||||
fi
|
||||
}
|
||||
|
||||
echo "Checking required API keys..."
|
||||
echo ""
|
||||
|
||||
# Check required keys
|
||||
OPENAI_OK=false
|
||||
ALPHA_OK=false
|
||||
|
||||
if check_api_key "OPENAI_API_KEY"; then
|
||||
OPENAI_OK=true
|
||||
fi
|
||||
|
||||
if check_api_key "ALPHA_VANTAGE_API_KEY"; then
|
||||
ALPHA_OK=true
|
||||
fi
|
||||
|
||||
echo ""
|
||||
|
||||
if [ "$OPENAI_OK" = false ] || [ "$ALPHA_OK" = false ]; then
|
||||
echo "⚠️ Please set the required API keys in .env file before deploying."
|
||||
echo ""
|
||||
echo "Get your API keys from:"
|
||||
echo " - OpenAI: https://platform.openai.com/api-keys"
|
||||
echo " - Alpha Vantage: https://www.alphavantage.co/support/#api-key"
|
||||
echo ""
|
||||
exit 1
|
||||
fi
|
||||
|
||||
echo "✅ All required API keys are configured!"
|
||||
echo ""
|
||||
|
||||
# Display deployment options
|
||||
echo "📦 Deployment Options:"
|
||||
echo ""
|
||||
echo "1. Vercel (Frontend) + Render (Backend) - FREE"
|
||||
echo " - Best for: Personal projects, testing"
|
||||
echo " - See DEPLOY.md for detailed instructions"
|
||||
echo ""
|
||||
echo "2. Railway - FREE tier available"
|
||||
echo " - Best for: All-in-one deployment"
|
||||
echo " - See DEPLOY.md for detailed instructions"
|
||||
echo ""
|
||||
echo "3. Docker Compose - Self-hosted"
|
||||
echo " - Best for: VPS deployment"
|
||||
echo " - Run: docker-compose up -d"
|
||||
echo ""
|
||||
|
||||
# Ask user which deployment method
|
||||
echo "Which deployment method would you like to use?"
|
||||
echo "1) Vercel + Render (Recommended for free)"
|
||||
echo "2) Railway"
|
||||
echo "3) Docker Compose"
|
||||
echo "4) Just show me the guide"
|
||||
read -p "Enter your choice (1-4): " choice
|
||||
|
||||
case $choice in
|
||||
1)
|
||||
echo ""
|
||||
echo "📖 Vercel + Render Deployment"
|
||||
echo "=============================="
|
||||
echo ""
|
||||
echo "Step 1: Deploy Backend to Render"
|
||||
echo " 1. Go to https://render.com and sign in with GitHub"
|
||||
echo " 2. Click 'New +' → 'Web Service'"
|
||||
echo " 3. Connect your repository"
|
||||
echo " 4. Configure:"
|
||||
echo " - Root Directory: backend"
|
||||
echo " - Build Command: pip install -r requirements.txt"
|
||||
echo " - Start Command: uvicorn app.main:app --host 0.0.0.0 --port \$PORT"
|
||||
echo " 5. Add environment variables from your .env file"
|
||||
echo " 6. Deploy!"
|
||||
echo ""
|
||||
echo "Step 2: Deploy Frontend to Vercel"
|
||||
echo " 1. Go to https://vercel.com and sign in with GitHub"
|
||||
echo " 2. Click 'Add New...' → 'Project'"
|
||||
echo " 3. Select your repository"
|
||||
echo " 4. Configure:"
|
||||
echo " - Root Directory: frontend"
|
||||
echo " - Framework: Next.js"
|
||||
echo " 5. Add environment variable:"
|
||||
echo " NEXT_PUBLIC_API_URL=<your-render-backend-url>"
|
||||
echo " 6. Deploy!"
|
||||
echo ""
|
||||
echo "📚 For detailed instructions, see DEPLOY.md"
|
||||
;;
|
||||
2)
|
||||
echo ""
|
||||
echo "📖 Railway Deployment"
|
||||
echo "===================="
|
||||
echo ""
|
||||
echo "1. Go to https://railway.app and sign in with GitHub"
|
||||
echo "2. Click 'New Project' → 'Deploy from GitHub repo'"
|
||||
echo "3. Select your repository"
|
||||
echo "4. Add two services (Backend and Frontend)"
|
||||
echo "5. Configure environment variables"
|
||||
echo ""
|
||||
echo "📚 For detailed instructions, see DEPLOY.md"
|
||||
;;
|
||||
3)
|
||||
echo ""
|
||||
echo "📖 Docker Compose Deployment"
|
||||
echo "============================"
|
||||
echo ""
|
||||
echo "Running Docker Compose..."
|
||||
if command -v docker-compose &> /dev/null; then
|
||||
docker-compose up -d
|
||||
echo ""
|
||||
echo "✅ Services started!"
|
||||
echo " - Frontend: http://localhost:3000"
|
||||
echo " - Backend: http://localhost:8000"
|
||||
echo ""
|
||||
echo "To view logs: docker-compose logs -f"
|
||||
echo "To stop: docker-compose down"
|
||||
else
|
||||
echo "❌ docker-compose not found. Please install Docker first."
|
||||
echo " Visit: https://docs.docker.com/get-docker/"
|
||||
fi
|
||||
;;
|
||||
4)
|
||||
echo ""
|
||||
echo "📚 Opening deployment guide..."
|
||||
if [ -f "DEPLOY.md" ]; then
|
||||
if command -v open &> /dev/null; then
|
||||
open DEPLOY.md
|
||||
elif command -v xdg-open &> /dev/null; then
|
||||
xdg-open DEPLOY.md
|
||||
else
|
||||
cat DEPLOY.md
|
||||
fi
|
||||
else
|
||||
echo "❌ DEPLOY.md not found"
|
||||
fi
|
||||
;;
|
||||
*)
|
||||
echo "Invalid choice. Please run the script again."
|
||||
exit 1
|
||||
;;
|
||||
esac
|
||||
|
||||
echo ""
|
||||
echo "🎉 Good luck with your deployment!"
|
||||
|
|
@ -0,0 +1,36 @@
|
|||
services:
|
||||
# Backend API Service
|
||||
- type: web
|
||||
name: tradingagents-backend
|
||||
runtime: python
|
||||
region: singapore
|
||||
plan: free
|
||||
buildCommand: pip install -r requirements.txt
|
||||
startCommand: uvicorn app.main:app --host 0.0.0.0 --port $PORT
|
||||
envVars:
|
||||
- key: PYTHON_VERSION
|
||||
value: 3.11
|
||||
- key: OPENAI_API_KEY
|
||||
sync: false
|
||||
- key: ALPHA_VANTAGE_API_KEY
|
||||
sync: false
|
||||
- key: TRADINGAGENTS_RESULTS_DIR
|
||||
value: /opt/render/project/src/results
|
||||
healthCheckPath: /health
|
||||
rootDir: backend
|
||||
|
||||
# Frontend Web Service
|
||||
- type: web
|
||||
name: tradingagents-frontend
|
||||
runtime: node
|
||||
region: singapore
|
||||
plan: free
|
||||
buildCommand: npm install && npm run build
|
||||
startCommand: npm start
|
||||
envVars:
|
||||
- key: NEXT_PUBLIC_API_URL
|
||||
value: https://tradingagents-backend.onrender.com
|
||||
- key: NODE_ENV
|
||||
value: production
|
||||
healthCheckPath: /
|
||||
rootDir: frontend
|
||||
Loading…
Reference in New Issue