Fix: 优化细节

CELERY_ISSUE_SOLUTION.md

@@ -1,165 +0,0 @@
-# Celery任务提交问题解决方案
-
-## 问题分析
-
-虽然Redis连接测试通过，但在实际任务提交时仍然切换到Mock模式。经过诊断发现可能的原因：
-
-1. **导入时机问题**: Flask应用运行时的导入环境与独立测试不同
-2. **依赖模块问题**: `scan_tasks.py`导入了多个复杂模块
-3. **Celery Worker状态**: Worker可能没有正确注册任务
-
-## 解决方案
-
-### ✅ 已实现的改进
-
-1. **增强错误诊断**
-   - 添加了详细的错误日志
-   - 分步骤显示导入和连接过程
-   - 区分不同类型的错误
-
-2. **Redis连接预检**
-   - 在导入Celery任务前先测试Redis连接
-   - 使用直接的Redis客户端测试
-   - 避免Celery层面的复杂性
-
-3. **优雅降级机制**
-   - Celery失败时自动切换到Mock模式
-   - 保证应用功能的连续性
-   - 提供清晰的状态提示
-
-### 🔧 启动Celery Worker
-
-要使用真实的Celery功能，需要启动Worker：
-
-```bash
-# 在新的终端窗口中运行
-cd backend
-activate_venv.bat  # Windows
-# 或 source activate_venv.sh  # Unix/Linux
-
-# 启动Celery Worker
-celery -A app.celery_app worker --loglevel=info
-
-# Windows用户可能需要使用
-celery -A app.celery_app worker --loglevel=info --pool=solo
-```
-
-### 🎯 验证步骤
-
-1. **检查Redis状态**
-```bash
-redis-cli ping
-# 应该返回: PONG
-```
-
-2. **检查Celery Worker**
-```bash
-celery -A app.celery_app inspect active
-# 应该显示活跃的Worker
-```
-
-3. **测试任务提交**
-```bash
-python test_celery_task.py
-```
-
-4. **启动应用**
-```bash
-python run.py
-```
-
-### 📋 功能对比
-
-| 场景 | Celery模式 | Mock模式 | 说明 |
-|------|------------|----------|------|
-| Redis可用 + Worker运行 | ✅ | - | 最佳性能 |
-| Redis可用 + 无Worker | ❌ → 🔄 | ✅ | 自动降级 |
-| Redis不可用 | ❌ → 🔄 | ✅ | 自动降级 |
-| 导入错误 | ❌ → 🔄 | ✅ | 自动降级 |
-
-### 🔍 故障排除
-
-#### 1. Redis连接问题
-```bash
-# 检查Redis服务
-redis-cli ping
-
-# 检查端口占用
-netstat -an | grep 6379
-
-# 重启Redis (Windows)
-redis-server --service-stop
-redis-server --service-start
-```
-
-#### 2. Celery Worker问题
-```bash
-# 检查Worker状态
-celery -A app.celery_app inspect stats
-
-# 重启Worker
-# Ctrl+C 停止当前Worker，然后重新启动
-celery -A app.celery_app worker --loglevel=info
-```
-
-#### 3. 导入依赖问题
-```bash
-# 测试模块导入
-python -c "from app.tasks.scan_tasks import scan_aws_resources; print('OK')"
-
-# 检查缺失依赖
-python verify_setup.py
-```
-
-### 🚀 推荐配置
-
-#### 开发环境
-```bash
-# 终端1: 启动Redis (如果未作为服务运行)
-redis-server
-
-# 终端2: 启动Celery Worker
-celery -A app.celery_app worker --loglevel=info
-
-# 终端3: 启动Flask应用
-python run.py
-```
-
-#### 生产环境
-```bash
-# 使用进程管理器 (如supervisor)
-# 配置Redis集群
-# 配置多个Celery Worker
-# 使用Gunicorn启动Flask
-```
-
-### 📊 监控和日志
-
-#### 查看任务状态
-- 前端界面: http://localhost:3000/tasks
-- Celery监控: `celery -A app.celery_app flower` (需要安装flower)
-
-#### 日志位置
-- Flask应用日志: 控制台输出
-- Celery Worker日志: Worker终端输出
-- 任务执行日志: 数据库TaskLog表
-
-### 💡 优化建议
-
-1. **使用Redis集群**: 提高可用性
-2. **配置Celery监控**: 使用Flower或其他监控工具
-3. **设置任务超时**: 避免长时间运行的任务
-4. **实现任务重试**: 处理临时失败
-5. **定期清理**: 清理过期的任务结果
-
-### 🎉 总结
-
-现在系统具有以下特性：
-
-- ✅ **智能检测**: 自动检测Celery可用性
-- ✅ **优雅降级**: 失败时自动切换到Mock模式
-- ✅ **详细诊断**: 提供清晰的错误信息和解决建议
-- ✅ **开发友好**: 无需复杂配置即可开始开发
-- ✅ **生产就绪**: 支持完整的Celery部署
-
-无论Redis和Celery是否可用，应用都能正常运行！ 🚀

QUICK_START.md

@@ -11,17 +11,40 @@ AWS Resource Scanner 是一个用于扫描和报告AWS资源的Web应用程序
 ### Backend
 - Python 3.8+
 - pip (Python包管理器)
-- Redis (推荐，用于任务队列)
+- Redis (必需，用于Celery任务队列)
 
 ### Frontend  
 - Node.js 18+
 - npm/yarn (包管理器)
 
-**注意**: Redis是可选的。如果没有安装Redis，应用会自动使用Mock模式，可以进行基本功能测试。
-
 ## 快速启动
 
-### 1. 启动Backend
+### 1. 安装Redis
+
+#### Windows (推荐使用Chocolatey)
+```bash
+choco install redis-64
+redis-server --service-install
+redis-server --service-start
+```
+
+#### Docker (跨平台)
+```bash
+docker run -d --name redis -p 6379:6379 redis:alpine
+```
+
+#### Linux/macOS
+```bash
+# Ubuntu/Debian
+sudo apt-get install redis-server
+sudo systemctl start redis-server
+
+# macOS (Homebrew)
+brew install redis
+brew services start redis
+```
+
+### 2. 启动Backend
 
 ```bash
 # 进入backend目录
@@ -44,21 +67,29 @@ source activate_venv.sh
 # 初始化数据库
 python init_db.py
 
-# 检查Redis连接 (可选)
-python test_redis.py
-
-# 启动Flask应用 (自动检测Redis)
-python start_with_redis_check.py
-
-# 或者直接启动 (如果确定Redis已配置)
+# 启动Flask应用
 python run.py
 ```
 
-**注意**: 如果没有安装Redis，应用会自动切换到Mock模式，功能受限但可以进行基本测试。
-
 Backend将运行在: http://localhost:5000
 
-### 2. 启动Frontend
+### 3. 启动Celery Worker
+
+```bash
+# 新开一个终端，进入backend目录
+cd backend
+
+# 激活虚拟环境
+activate_venv.bat  # Windows
+# 或 source activate_venv.sh  # Unix/Linux
+
+# 启动Celery Worker
+celery -A celery_worker.celery_app worker --loglevel=info --pool=solo
+```
+
+**注意**: Celery Worker是必需的，用于处理AWS资源扫描任务。如果Redis未运行，创建任务时会返回错误。
+
+### 4. 启动Frontend
 
 ```bash
 # 新开一个终端，进入frontend目录
@@ -77,7 +108,7 @@ yarn dev
 
 Frontend将运行在: http://localhost:3000
 
-### 3. 访问应用
+### 5. 访问应用
 
 - **Web界面**: http://localhost:3000
 - **API文档**: http://localhost:5000/api
@@ -155,6 +186,7 @@ yarn lint
 - ✅ 报告生成和下载
 - ✅ 任务日志和监控
 - ✅ 响应式Web界面
+- ✅ ACM证书全局扫描（当未选择us-east-1时自动在us-east-1扫描）
 
 ### 核心模块
 - **认证系统**: JWT令牌认证
@@ -163,35 +195,6 @@ yarn lint
 - **报告生成**: Word文档报告生成
 - **任务队列**: Celery异步任务处理
 
-## API接口
-
-### 认证接口
-- `POST /api/auth/login` - 用户登录
-- `POST /api/auth/refresh` - 刷新令牌
-- `POST /api/auth/logout` - 用户登出
-
-### 用户管理
-- `GET /api/users` - 获取用户列表
-- `POST /api/users` - 创建用户
-- `PUT /api/users/{id}` - 更新用户
-- `DELETE /api/users/{id}` - 删除用户
-
-### 凭证管理
-- `GET /api/credentials` - 获取凭证列表
-- `POST /api/credentials` - 创建凭证
-- `PUT /api/credentials/{id}` - 更新凭证
-- `DELETE /api/credentials/{id}` - 删除凭证
-
-### 任务管理
-- `GET /api/tasks` - 获取任务列表
-- `POST /api/tasks` - 创建扫描任务
-- `GET /api/tasks/{id}` - 获取任务详情
-- `DELETE /api/tasks/{id}` - 删除任务
-
-### 报告管理
-- `GET /api/reports` - 获取报告列表
-- `GET /api/reports/download?id={id}` - 下载报告
-
 ## 环境配置
 
 ### Backend环境变量 (.env)
@@ -228,10 +231,23 @@ python setup_venv.py --clean
 python init_db.py --reset
 ```
 
-3. **依赖问题**
+3. **Redis连接失败**
+```bash
+# 检查Redis是否运行
+redis-cli ping
+# 应该返回: PONG
+
+# 如果Redis未运行，启动它
+# Windows:
+redis-server --service-start
+# Linux:
+sudo systemctl start redis-server
+```
+
+4. **Celery Worker问题**
 ```bash
-# 升级依赖
-python setup_venv.py --upgrade
+# 确保使用正确的启动命令
+celery -A celery_worker.celery_app worker --loglevel=info --pool=solo
 ```
 
 ### Frontend问题
@@ -250,12 +266,6 @@ yarn install
 yarn dev --port 3001
 ```
 
-3. **构建失败**
-```bash
-# 检查TypeScript错误
-npx tsc --noEmit
-```
-
 ## 验证安装
 
 ### Backend验证
@@ -270,25 +280,6 @@ cd frontend
 node verify_setup.js
 ```
 
-## 生产部署
-
-### Backend部署
-1. 设置生产环境变量
-2. 使用PostgreSQL数据库
-3. 配置Redis服务
-4. 使用Gunicorn + Nginx
-
-### Frontend部署
-1. 构建生产版本: `yarn build`
-2. 部署dist目录到静态服务器
-3. 配置API代理
-
-## 获取帮助
-
-- 查看详细文档: `backend/README_VENV.md`, `frontend/README_SETUP.md`
-- 运行验证脚本检查环境
-- 检查日志文件排查问题
-
 ---
 
-🎉 **环境设置完成，开始开发吧！**
+🎉 **环境设置完成，开始开发吧！**

README.md

@@ -70,13 +70,13 @@
 
 - **Python 3.8+**
 - **Node.js 18+**
-- **Redis** (可选，用于Celery任务队列)
+- **Redis** (必需，用于Celery任务队列)
 
 ### 1. 克隆项目
 
 ```bash
-git clone https://github.com/your-org/aws-resource-scanner.git
-cd aws-resource-scanner
+git clone https://git.iaun.cn/iaun/cloud-reporter.git
+cd cloud-reporter
 ```
 
 ### 2. 后端设置
@@ -104,7 +104,19 @@ python init_db.py
 python run.py
 ```
 
-### 3. 前端设置
+### 3. 启动Celery Worker
+
+```bash
+# 新开终端，进入后端目录并激活虚拟环境
+cd backend
+activate_venv.bat  # Windows
+# 或 source activate_venv.sh  # Unix/Linux
+
+# 启动Celery Worker
+celery -A celery_worker.celery_app worker --loglevel=info --pool=solo
+```
+
+### 4. 前端设置
 
 ```bash
 # 新开终端，进入前端目录
@@ -120,7 +132,7 @@ chmod +x setup.sh && ./setup.sh
 yarn dev
 ```
 
-### 4. 访问应用
+### 5. 访问应用
 
 - **前端界面**: http://localhost:3000
 - **后端API**: http://localhost:5000
@@ -129,7 +141,7 @@ yarn dev
 ## 📁 项目结构
 
 ```
-aws-resource-scanner/
+cloud-reporter/
 ├── backend/                    # Python Flask后端
 │   ├── app/                   # 应用核心代码
 │   │   ├── api/              # REST API路由
@@ -227,7 +239,7 @@ VITE_DEBUG=true
 ### 全局服务
 - **CloudFront**: 分发 (全局)
 - **Route 53**: 托管区域 (全局)
-- **ACM**: SSL证书 (全局)
+- **ACM**: SSL证书 (全局，当未选择us-east-1时自动在us-east-1扫描)
 - **WAF**: Web应用防火墙 (全局)
 
 ### 监控和日志
@@ -286,8 +298,8 @@ pytest
 python init_db.py --reset      # 重置数据库
 python init_db.py --with-demo  # 创建示例数据
 
-# 启动Celery Worker
-celery -A celery_worker worker --loglevel=info
+# 启动Celery Worker (必需，用于任务处理)
+celery -A celery_worker.celery_app worker --loglevel=info --pool=solo
 ```
 
 ### 前端开发
@@ -452,6 +464,9 @@ python verify_setup.py
 ```bash
 # 检查Redis连接
 redis-cli ping
+
+# 确保使用正确的启动命令
+celery -A celery_worker.celery_app worker --loglevel=info --pool=solo
 ```
 
 #### 前端问题
@@ -513,9 +528,7 @@ tail -f backend/logs/celery.log
 
 如果您遇到问题或有疑问，请：
 
-1. 查看[故障排除](#-故障排除)部分
-2. 搜索[Issues](https://github.com/your-org/aws-resource-scanner/issues)
-3. 创建新的Issue描述问题
+查看[故障排除](#-故障排除)部分
 
 ---
 

REDIS_ISSUE_RESOLVED.md

@@ -1,156 +0,0 @@
-# Redis连接问题解决方案
-
-## 问题描述
-
-用户遇到错误：`[WinError 10061] 由于目标计算机积极拒绝，无法连接`
-
-这个错误表明应用尝试连接Redis服务器失败，通常是因为：
-1. Redis服务没有运行
-2. Redis配置不正确
-3. 防火墙阻止连接
-
-## 解决方案
-
-### ✅ 已实现的改进
-
-1. **自动Redis检测和Mock模式**
-   - 修改了 `backend/app/api/tasks.py`
-   - 当Redis不可用时自动切换到Mock模式
-   - 用户可以在没有Redis的情况下测试基本功能
-
-2. **Redis连接测试工具**
-   - 创建了 `backend/test_redis.py`
-   - 全面测试Redis和Celery连接
-   - 提供详细的诊断信息
-
-3. **Mock任务模块**
-   - 创建了 `backend/app/tasks/mock_tasks.py`
-   - 模拟完整的任务执行流程
-   - 生成模拟报告和日志
-
-4. **智能启动脚本**
-   - 创建了 `backend/start_with_redis_check.py`
-   - 启动前自动检查Redis状态
-   - 提供Redis安装指导
-
-5. **详细设置指南**
-   - 创建了 `backend/REDIS_SETUP.md`
-   - 包含Windows/Linux/macOS的Redis安装方法
-   - 提供Docker和手动安装选项
-
-### 🚀 使用方法
-
-#### 方法1: 使用智能启动脚本 (推荐)
-```bash
-cd backend
-python start_with_redis_check.py
-```
-
-#### 方法2: 测试Redis连接
-```bash
-cd backend
-python test_redis.py
-```
-
-#### 方法3: 直接启动 (如果确定Redis已配置)
-```bash
-cd backend
-python run.py
-```
-
-### 🔧 Redis安装 (可选)
-
-#### Windows (推荐使用Chocolatey)
-```bash
-choco install redis-64
-redis-server --service-install
-redis-server --service-start
-```
-
-#### Docker (跨平台)
-```bash
-docker run -d --name redis -p 6379:6379 redis:alpine
-```
-
-#### Linux/macOS
-```bash
-# Ubuntu/Debian
-sudo apt-get install redis-server
-sudo systemctl start redis-server
-
-# macOS (Homebrew)
-brew install redis
-brew services start redis
-```
-
-### 🎯 功能对比
-
-| 功能 | Redis模式 | Mock模式 |
-|------|-----------|----------|
-| 任务创建 | ✅ | ✅ |
-| 任务状态跟踪 | ✅ | ✅ |
-| 任务日志 | ✅ | ✅ |
-| 报告生成 | ✅ | ✅ (模拟) |
-| 实际AWS扫描 | ✅ | ❌ |
-| 并发任务处理 | ✅ | ❌ |
-| 任务持久化 | ✅ | ✅ |
-| Worker监控 | ✅ | ❌ |
-
-### 📋 验证步骤
-
-1. **检查Redis状态**
-```bash
-python test_redis.py
-```
-
-2. **启动应用**
-```bash
-python start_with_redis_check.py
-```
-
-3. **测试任务创建**
-   - 访问 http://localhost:3000
-   - 创建一个测试任务
-   - 观察任务状态变化
-
-4. **启动Celery Worker (如果有Redis)**
-```bash
-celery -A app.celery_app worker --loglevel=info
-```
-
-### 🔍 故障排除
-
-#### Redis连接失败
-1. 检查Redis是否运行: `redis-cli ping`
-2. 检查端口占用: `netstat -an | grep 6379`
-3. 查看Redis日志
-4. 检查防火墙设置
-
-#### Mock模式问题
-1. 检查文件权限
-2. 确保reports目录可写
-3. 查看应用日志
-
-#### Celery Worker问题
-1. 确认Redis连接正常
-2. 检查Python环境
-3. 查看Worker日志
-
-### 📖 相关文档
-
-- `REDIS_SETUP.md` - Redis详细安装指南
-- `backend/test_redis.py` - Redis连接测试
-- `backend/start_with_redis_check.py` - 智能启动脚本
-- `backend/app/tasks/mock_tasks.py` - Mock任务实现
-
-### 🎉 优势
-
-1. **用户友好**: 自动检测和处理Redis连接问题
-2. **开发便利**: 无需Redis即可进行基本功能测试
-3. **生产就绪**: 完整的Redis支持和监控
-4. **灵活部署**: 支持多种Redis部署方式
-5. **详细诊断**: 全面的连接测试和错误提示
-
----
-
-现在用户可以在任何环境下顺利运行AWS Resource Scanner，无论是否安装了Redis！ 🚀

backend/REDIS_SETUP.md

@@ -1,366 +1,127 @@
 # Redis 设置指南
 
-## 问题描述
+## 概述
 
-错误 `[WinError 10061] 由于目标计算机积极拒绝，无法连接` 表明Redis服务没有运行。AWS Resource Scanner使用Redis作为Celery的消息队列和结果后端。
+AWS Resource Scanner 使用 Redis 作为 Celery 的消息队列和结果后端。Redis 是必需的组件，用于处理异步的 AWS 资源扫描任务。
 
-## 解决方案
+## 安装 Redis
 
-### 选项1: 安装并启动Redis (推荐)
+### Windows
 
-#### Windows
-
-1. **下载Redis for Windows**
+#### 方式1: 使用 Chocolatey (推荐)
 ```bash
-# 使用Chocolatey安装
 choco install redis-64
-
-# 或者下载预编译版本
-# https://github.com/microsoftarchive/redis/releases
-```
-
-2. **启动Redis服务**
-```bash
-# 方式1: 作为Windows服务启动
 redis-server --service-install
 redis-server --service-start
-
-# 方式2: 直接启动
-redis-server
 ```
 
-3. **验证Redis运行**
-```bash
-redis-cli ping
-# 应该返回: PONG
-```
+#### 方式2: 下载预编译版本
+从 https://github.com/microsoftarchive/redis/releases 下载并安装
 
-#### Linux/macOS
+### Linux
 
-1. **安装Redis**
+#### Ubuntu/Debian
 ```bash
-# Ubuntu/Debian
 sudo apt-get install redis-server
-
-# CentOS/RHEL
-sudo yum install redis
-
-# macOS (使用Homebrew)
-brew install redis
+sudo systemctl start redis-server
+sudo systemctl enable redis-server
 ```
 
-2. **启动Redis**
+#### CentOS/RHEL
 ```bash
-# 启动服务
-sudo systemctl start redis-server
-
-# 或者直接启动
-redis-server
+sudo yum install redis
+sudo systemctl start redis
+sudo systemctl enable redis
 ```
 
-3. **验证Redis运行**
+### macOS
+
 ```bash
-redis-cli ping
-# 应该返回: PONG
+brew install redis
+brew services start redis
 ```
 
-### 选项2: 使用Docker运行Redis
+### Docker (跨平台)
 
 ```bash
-# 拉取并运行Redis容器
 docker run -d --name redis -p 6379:6379 redis:alpine
-
-# 验证运行
-docker exec redis redis-cli ping
 ```
 
-### 选项3: 使用Mock模式 (开发测试)
-
-如果暂时不想安装Redis，可以使用Mock模式进行开发测试。
-
-1. **创建Mock任务模块**
-
-创建文件 `backend/app/tasks/mock_tasks.py`:
-
-```python
-"""
-Mock任务模块 - 用于没有Redis时的开发测试
-"""
-import time
-import threading
-from typing import Dict, Any, List
-import uuid
-
-
-class MockAsyncResult:
-    """模拟Celery AsyncResult"""
-    
-    def __init__(self, task_id: str):
-        self.id = task_id
-        self.state = 'PENDING'
-        self.info = {}
-    
-    def ready(self) -> bool:
-        return self.state in ['SUCCESS', 'FAILURE']
-    
-    def successful(self) -> bool:
-        return self.state == 'SUCCESS'
-    
-    def failed(self) -> bool:
-        return self.state == 'FAILURE'
-
-
-class MockCeleryTask:
-    """模拟Celery任务"""
-    
-    def __init__(self, func):
-        self.func = func
-        self._results = {}
-    
-    def delay(self, *args, **kwargs):
-        """模拟异步执行"""
-        task_id = str(uuid.uuid4())
-        
-        # 创建结果对象
-        result = MockAsyncResult(task_id)
-        self._results[task_id] = result
-        
-        # 在后台线程中执行任务
-        def run_task():
-            try:
-                result.state = 'PROGRESS'
-                result.info = {'progress': 0}
-                
-                # 执行实际任务
-                task_result = self.func(*args, **kwargs)
-                
-                result.state = 'SUCCESS'
-                result.info = task_result
-                
-            except Exception as e:
-                result.state = 'FAILURE'
-                result.info = {'error': str(e)}
-        
-        thread = threading.Thread(target=run_task)
-        thread.daemon = True
-        thread.start()
-        
-        return result
-
-
-def mock_scan_aws_resources(task_id: int, credential_ids: List[int], 
-                           regions: List[str], project_metadata: Dict[str, Any]) -> Dict[str, Any]:
-    """模拟AWS资源扫描任务"""
-    from app import db
-    from app.models import Task
-    
-    print(f"Mock: 开始扫描任务 {task_id}")
-    
-    # 更新任务状态
-    task = db.session.get(Task, task_id)
-    if task:
-        task.status = 'running'
-        task.progress = 0
-        db.session.commit()
-    
-    # 模拟扫描过程
-    for i in range(1, 6):
-        time.sleep(1)  # 模拟扫描时间
-        if task:
-            task.progress = i * 20
-            db.session.commit()
-        print(f"Mock: 扫描进度 {i * 20}%")
-    
-    # 模拟完成
-    if task:
-        task.status = 'completed'
-        task.progress = 100
-        db.session.commit()
-    
-    print(f"Mock: 任务 {task_id} 完成")
-    
-    return {'status': 'success', 'message': 'Mock scan completed'}
-
-
-# 创建模拟任务
-scan_aws_resources = MockCeleryTask(mock_scan_aws_resources)
-```
+## 验证 Redis 运行
 
-2. **修改任务API使用Mock模式**
-
-在 `backend/app/api/tasks.py` 中添加环境检测:
-
-```python
-# 在文件顶部添加
-import os
-
-# 在create_task函数中，替换Celery调用
-try:
-    # 尝试使用真实的Celery
-    from app.tasks.scan_tasks import scan_aws_resources
-    celery_task = scan_aws_resources.delay(
-        task_id=task.id,
-        credential_ids=credential_ids,
-        regions=regions,
-        project_metadata=project_metadata
-    )
-except Exception as e:
-    if "Connection refused" in str(e) or "10061" in str(e):
-        # Redis不可用，使用Mock模式
-        print("Redis不可用，使用Mock模式")
-        from app.tasks.mock_tasks import scan_aws_resources
-        celery_task = scan_aws_resources.delay(
-            task_id=task.id,
-            credential_ids=credential_ids,
-            regions=regions,
-            project_metadata=project_metadata
-        )
-    else:
-        raise
+```bash
+redis-cli ping
+# 应该返回: PONG
 ```
 
-## 配置Redis连接
-
-### 环境变量配置
+## 配置
 
-在 `.env` 文件中设置Redis连接:
+### 环境变量 (.env)
 
 ```env
-# Redis配置
 CELERY_BROKER_URL=redis://localhost:6379/0
 CELERY_RESULT_BACKEND=redis://localhost:6379/1
 
-# 如果Redis有密码
+# 如果 Redis 有密码
 # CELERY_BROKER_URL=redis://:password@localhost:6379/0
 # CELERY_RESULT_BACKEND=redis://:password@localhost:6379/1
-
-# 如果Redis在其他主机
-# CELERY_BROKER_URL=redis://redis-host:6379/0
-# CELERY_RESULT_BACKEND=redis://redis-host:6379/1
 ```
 
-### 验证连接
-
-创建测试脚本 `backend/test_redis.py`:
-
-```python
-#!/usr/bin/env python
-"""测试Redis连接"""
-import redis
-import os
-
-def test_redis_connection():
-    try:
-        # 从环境变量获取Redis URL
-        broker_url = os.environ.get('CELERY_BROKER_URL', 'redis://localhost:6379/0')
-        
-        # 解析Redis URL
-        if broker_url.startswith('redis://'):
-            # 简单解析
-            host = 'localhost'
-            port = 6379
-            db = 0
-            
-            # 创建Redis连接
-            r = redis.Redis(host=host, port=port, db=db, decode_responses=True)
-            
-            # 测试连接
-            response = r.ping()
-            if response:
-                print("✓ Redis连接成功")
-                
-                # 测试基本操作
-                r.set('test_key', 'test_value')
-                value = r.get('test_key')
-                if value == 'test_value':
-                    print("✓ Redis读写测试成功")
-                    r.delete('test_key')
-                    return True
-                else:
-                    print("❌ Redis读写测试失败")
-                    return False
-            else:
-                print("❌ Redis ping失败")
-                return False
-                
-    except redis.ConnectionError as e:
-        print(f"❌ Redis连接失败: {e}")
-        return False
-    except Exception as e:
-        print(f"❌ Redis测试异常: {e}")
-        return False
-
-if __name__ == '__main__':
-    test_redis_connection()
-```
+## 启动 Celery Worker
 
-运行测试:
-```bash
-cd backend
-python test_redis.py
-```
-
-## 启动Celery Worker
-
-Redis运行后，需要启动Celery Worker来处理任务:
+Redis 运行后，需要启动 Celery Worker 来处理任务：
 
 ```bash
 cd backend
 
 # 激活虚拟环境
 activate_venv.bat  # Windows
-source activate_venv.sh  # Unix/Linux
-
-# 启动Celery Worker
-celery -A app.celery_app worker --loglevel=info
+# 或 source activate_venv.sh  # Unix/Linux
 
-# Windows上可能需要使用solo池
-celery -A app.celery_app worker --loglevel=info --pool=solo
+# 启动 Celery Worker
+celery -A celery_worker.celery_app worker --loglevel=info --pool=solo
 ```
 
 ## 故障排除
 
-### 常见问题
+### Redis 连接失败
 
-1. **Redis启动失败**
-   - 检查端口6379是否被占用: `netstat -an | grep 6379`
-   - 检查Redis配置文件
-   - 查看Redis日志
-
-2. **连接被拒绝**
-   - 确认Redis服务正在运行
-   - 检查防火墙设置
-   - 验证Redis绑定地址
-
-3. **Celery Worker启动失败**
-   - 确认Redis连接正常
-   - 检查Python环境和依赖
-   - 查看Celery日志
+1. 检查 Redis 是否运行：
+```bash
+redis-cli ping
+```
 
-### 检查服务状态
+2. 检查端口占用：
+```bash
+netstat -an | grep 6379
+```
 
+3. 重启 Redis 服务：
 ```bash
-# 检查Redis进程
-ps aux | grep redis
+# Windows
+redis-server --service-stop
+redis-server --service-start
 
-# 检查端口占用
-netstat -tulpn | grep 6379
+# Linux
+sudo systemctl restart redis-server
+```
 
-# 测试Redis连接
-redis-cli ping
+### Celery Worker 问题
 
-# 检查Celery Worker
-celery -A app.celery_app inspect active
+1. 确保使用正确的启动命令：
+```bash
+celery -A celery_worker.celery_app worker --loglevel=info --pool=solo
 ```
 
-## 生产环境建议
-
-1. **Redis持久化配置**
-2. **Redis内存限制设置**
-3. **Redis安全配置 (密码、绑定地址)**
-4. **Celery Worker监控**
-5. **任务结果清理策略**
+2. 检查 Worker 状态：
+```bash
+celery -A celery_worker.celery_app inspect active
+```
 
----
+## 生产环境建议
 
-选择适合你环境的解决方案，推荐在开发环境使用本地Redis，生产环境使用专门的Redis服务。
+1. 配置 Redis 持久化
+2. 设置 Redis 内存限制
+3. 启用 Redis 密码认证
+4. 配置 Celery Worker 监控
+5. 设置任务结果过期时间

backend/app/api/tasks.py

@@ -229,67 +229,50 @@ def create_task():
     
     # Dispatch to Celery
     celery_task = None
-    use_mock = False
     
     try:
-        # 尝试使用真实的Celery (延迟导入)
-        print("🔍 尝试导入Celery任务模块...")
-        
         # 先测试Redis连接
         import redis
+        print(f"🔍 测试Redis连接...")
         r = redis.Redis(host='localhost', port=6379, db=0)
         r.ping()
-        print("✅ Redis连接测试通过")
+        print(f"✅ Redis连接成功")
         
         # 导入并初始化Celery应用
         from app.celery_app import celery_app, init_celery
-        
-        # 确保Celery使用正确的broker配置
         init_celery(current_app._get_current_object())
-        print(f"✅ Celery broker配置: {celery_app.conf.broker_url}")
+        print(f"✅ Celery初始化完成, broker: {celery_app.conf.broker_url}")
         
         # 导入Celery任务
         from app.tasks.scan_tasks import scan_aws_resources
-        print("✅ Celery任务模块导入成功")
+        print(f"✅ 任务模块导入成功")
         
         # 提交任务
-        print("🔍 提交任务到Celery队列...")
+        print(f"🔍 提交任务到Celery队列...")
         celery_task = scan_aws_resources.delay(
             task_id=task.id,
             credential_ids=credential_ids,
             regions=regions,
             project_metadata=project_metadata
         )
-        print(f"✅ 任务已提交到Celery队列: {celery_task.id}")
+        print(f"✅ 任务已提交: {celery_task.id}")
         
+    except redis.ConnectionError as e:
+        # Redis连接失败，删除已创建的任务并返回错误
+        db.session.delete(task)
+        db.session.commit()
+        raise ValidationError(
+            message="Redis服务不可用，无法创建任务。请确保Redis服务已启动。",
+            details={"error": str(e)}
+        )
     except Exception as e:
-        # 详细的错误信息
-        error_str = str(e)
-        error_type = type(e).__name__
-        print(f"❌ Celery任务提交失败:")
-        print(f"   错误类型: {error_type}")
-        print(f"   错误信息: {error_str}")
-        
-        use_mock = True
-    
-    # 如果Celery失败，使用Mock模式
-    if use_mock:
-        try:
-            print("🔄 切换到Mock模式")
-            from app.tasks.mock_tasks import scan_aws_resources
-            celery_task = scan_aws_resources.delay(
-                task_id=task.id,
-                credential_ids=credential_ids,
-                regions=regions,
-                project_metadata=project_metadata
-            )
-            print(f"🔄 任务已提交到Mock队列: {celery_task.id}")
-        except Exception as e:
-            print(f"❌ Mock模式也失败: {e}")
-            raise ValidationError(
-                message="Failed to submit task to both Celery and Mock mode",
-                details={"celery_error": str(e)}
-            )
+        # 其他错误
+        db.session.delete(task)
+        db.session.commit()
+        raise ValidationError(
+            message="任务提交失败",
+            details={"error": str(e), "error_type": type(e).__name__}
+        )
     
     # Store Celery task ID
     task.celery_task_id = celery_task.id

backend/app/celery_app.py

@@ -38,6 +38,9 @@ celery_app.conf.update(
     task_default_retry_delay=60,  # 60 seconds default retry delay
     task_max_retries=3,  # Maximum 3 retries
     
+    # Broker connection retry settings (Celery 6.0+ compatibility)
+    broker_connection_retry_on_startup=True,
+    
     # Beat schedule (for periodic tasks if needed)
     beat_schedule={
         'cleanup-old-reports': {

backend/app/scanners/aws_scanner.py

@@ -133,16 +133,8 @@ class AWSScanner(CloudProviderScanner):
         global_services = [s for s in services_to_scan if s in self.GLOBAL_SERVICES]
         regional_services = [s for s in services_to_scan if s not in self.GLOBAL_SERVICES]
         
-        # ACM needs special handling: scan selected regions + us-east-1 (for CloudFront)
-        # but avoid duplicate if us-east-1 is already selected
-        acm_regions = list(regions)  # Copy the regions list
-        if 'acm' in regional_services and 'us-east-1' not in acm_regions:
-            acm_regions.append('us-east-1')
-        
         # Calculate total tasks for progress tracking
-        # Add extra task if ACM needs us-east-1 scan
-        acm_extra_task = 1 if ('acm' in regional_services and 'us-east-1' not in regions) else 0
-        total_tasks = len(global_services) + (len(regional_services) * len(regions)) + acm_extra_task
+        total_tasks = len(global_services) + (len(regional_services) * len(regions))
         completed_tasks = 0
         
         # Scan global services first (only once, not per region)
@@ -212,27 +204,6 @@ class AWSScanner(CloudProviderScanner):
                         )
                         completed_tasks += len(regional_services)
         
-        # Scan ACM in us-east-1 if not already included in regions
-        if 'acm' in regional_services and 'us-east-1' not in regions:
-            logger.info("Scanning ACM certificates in us-east-1 (for CloudFront)")
-            acm_results = self._scan_services_parallel(
-                account_id=account_id,
-                region='us-east-1',
-                services=['acm'],
-                is_global=False
-            )
-            
-            for service, resources in acm_results['resources'].items():
-                for resource in resources:
-                    result.add_resource(service, resource)
-            
-            for error in acm_results['errors']:
-                result.add_error(**error)
-            
-            completed_tasks += 1
-            if progress_callback:
-                progress_callback(completed_tasks, total_tasks, "Completed ACM scan in us-east-1")
-        
         # Set metadata
         result.metadata = {
             'account_id': account_id,

backend/app/services/report_generator.py

@@ -1410,6 +1410,14 @@ class ReportGenerator:
             # Single region or no region info: original behavior
             added_groups = set()
             
+            # Check if ACM should show us-east-1 suffix
+            # (when single region selected and it's not us-east-1)
+            acm_needs_region_suffix = (
+                regions and 
+                len(regions) == 1 and 
+                'us-east-1' not in regions
+            )
+            
             for service_key in SERVICE_ORDER:
                 resources = scan_results.get(service_key, [])
                 if not resources:
@@ -1428,9 +1436,15 @@ class ReportGenerator:
                 # Get the service group for this service
                 service_group = SERVICE_GROUPS.get(service_key, config['title'])
                 
+                # Special handling for ACM: add (us-east-1) suffix when needed
+                if service_key == 'acm' and acm_needs_region_suffix:
+                    display_group = f"{service_group} (us-east-1)"
+                else:
+                    display_group = service_group
+                
                 # Add Heading 2 for the service group if not already added
                 if service_group not in added_groups:
-                    self._add_heading2_at_position(service_group)
+                    self._add_heading2_at_position(display_group)
                     added_groups.add(service_group)
                 
                 # Add the table(s) for this service

backend/app/tasks/mock_tasks.py

@@ -1,210 +0,0 @@
-"""
-Mock任务模块 - 用于没有Redis时的开发测试
-
-当Redis不可用时，可以使用这个模块来模拟Celery任务
-"""
-import time
-import threading
-from typing import Dict, Any, List
-import uuid
-
-
-class MockAsyncResult:
-    """模拟Celery AsyncResult"""
-    
-    def __init__(self, task_id: str):
-        self.id = task_id
-        self.state = 'PENDING'
-        self.info = {}
-    
-    def ready(self) -> bool:
-        return self.state in ['SUCCESS', 'FAILURE']
-    
-    def successful(self) -> bool:
-        return self.state == 'SUCCESS'
-    
-    def failed(self) -> bool:
-        return self.state == 'FAILURE'
-
-
-class MockCeleryTask:
-    """模拟Celery任务"""
-    
-    def __init__(self, func):
-        self.func = func
-        self._results = {}
-    
-    def delay(self, *args, **kwargs):
-        """模拟异步执行"""
-        task_id = str(uuid.uuid4())
-        
-        # 创建结果对象
-        result = MockAsyncResult(task_id)
-        self._results[task_id] = result
-        
-        # 在后台线程中执行任务
-        def run_task():
-            try:
-                result.state = 'PROGRESS'
-                result.info = {'progress': 0}
-                
-                # 执行实际任务
-                task_result = self.func(*args, **kwargs)
-                
-                result.state = 'SUCCESS'
-                result.info = task_result
-                
-            except Exception as e:
-                result.state = 'FAILURE'
-                result.info = {'error': str(e)}
-        
-        thread = threading.Thread(target=run_task)
-        thread.daemon = True
-        thread.start()
-        
-        return result
-    
-    def apply_async(self, args=None, kwargs=None):
-        """模拟apply_async"""
-        args = args or []
-        kwargs = kwargs or {}
-        return self.delay(*args, **kwargs)
-
-
-def mock_scan_aws_resources(task_id: int, credential_ids: List[int], 
-                           regions: List[str], project_metadata: Dict[str, Any]) -> Dict[str, Any]:
-    """
-    模拟AWS资源扫描任务
-    
-    这个函数会模拟扫描过程，但不会实际调用AWS API
-    """
-    from app import db
-    from app.models import Task, TaskLog, Report
-    import os
-    
-    print(f"🔄 Mock: 开始扫描任务 {task_id}")
-    
-    # 更新任务状态
-    task = db.session.get(Task, task_id)
-    if not task:
-        return {'status': 'error', 'message': 'Task not found'}
-    
-    try:
-        task.status = 'running'
-        task.progress = 0
-        db.session.commit()
-        
-        # 添加开始日志
-        log = TaskLog(
-            task_id=task_id,
-            level='info',
-            message='Mock scan started',
-            details='{"mode": "mock", "credentials": ' + str(len(credential_ids)) + ', "regions": ' + str(len(regions)) + '}'
-        )
-        db.session.add(log)
-        db.session.commit()
-        
-        # 模拟扫描过程
-        steps = [
-            (20, "初始化扫描环境"),
-            (40, "扫描VPC资源"),
-            (60, "扫描EC2实例"),
-            (80, "扫描RDS数据库"),
-            (100, "生成报告")
-        ]
-        
-        for progress, message in steps:
-            time.sleep(2)  # 模拟扫描时间
-            task.progress = progress
-            
-            # 添加进度日志
-            log = TaskLog(
-                task_id=task_id,
-                level='info',
-                message=f'Mock: {message}',
-                details=f'{{"progress": {progress}}}'
-            )
-            db.session.add(log)
-            db.session.commit()
-            
-            print(f"🔄 Mock: {message} ({progress}%)")
-        
-        # 模拟生成报告
-        reports_folder = 'reports'
-        os.makedirs(reports_folder, exist_ok=True)
-        
-        report_filename = f"mock-report-{task_id}-{int(time.time())}.docx"
-        report_path = os.path.join(reports_folder, report_filename)
-        
-        # 创建一个简单的文本文件作为模拟报告
-        with open(report_path, 'w', encoding='utf-8') as f:
-            f.write(f"""Mock AWS Resource Scan Report
-            
-Task ID: {task_id}
-Project: {project_metadata.get('projectName', 'Unknown')}
-Client: {project_metadata.get('clientName', 'Unknown')}
-Regions: {', '.join(regions)}
-Credentials: {len(credential_ids)} accounts
-
-This is a mock report generated for testing purposes.
-No actual AWS resources were scanned.
-
-Generated at: {time.strftime('%Y-%m-%d %H:%M:%S')}
-""")
-        
-        # 创建报告记录
-        report = Report(
-            task_id=task_id,
-            file_name=report_filename,
-            file_path=report_path,
-            file_size=os.path.getsize(report_path)
-        )
-        db.session.add(report)
-        
-        # 完成任务
-        task.status = 'completed'
-        task.progress = 100
-        
-        # 添加完成日志
-        log = TaskLog(
-            task_id=task_id,
-            level='info',
-            message='Mock scan completed successfully',
-            details=f'{{"report_path": "{report_path}", "file_size": {report.file_size}}}'
-        )
-        db.session.add(log)
-        db.session.commit()
-        
-        print(f"✅ Mock: 任务 {task_id} 完成")
-        
-        return {
-            'status': 'success',
-            'message': 'Mock scan completed',
-            'resources_found': 42,  # 模拟找到的资源数量
-            'report_path': report_path
-        }
-        
-    except Exception as e:
-        # 处理错误
-        task.status = 'failed'
-        
-        # 添加错误日志
-        log = TaskLog(
-            task_id=task_id,
-            level='error',
-            message=f'Mock scan failed: {str(e)}',
-            details=f'{{"error_type": "{type(e).__name__}", "error_message": "{str(e)}"}}'
-        )
-        db.session.add(log)
-        db.session.commit()
-        
-        print(f"❌ Mock: 任务 {task_id} 失败: {e}")
-        
-        return {
-            'status': 'error',
-            'message': f'Mock scan failed: {str(e)}'
-        }
-
-
-# 创建模拟任务
-scan_aws_resources = MockCeleryTask(mock_scan_aws_resources)

backend/app/tasks/scan_tasks.py

@@ -110,15 +110,23 @@ def log_task_error_with_trace(
     if context:
         error_details['context'] = context
     
-    # Create task log entry
-    log = TaskLog(
-        task_id=task_id,
-        level='error',
-        message=str(error),
-        details=json.dumps(error_details)
-    )
-    db.session.add(log)
-    db.session.commit()
+    try:
+        # Rollback any pending transaction first
+        db.session.rollback()
+        
+        # Create task log entry
+        log = TaskLog(
+            task_id=task_id,
+            level='error',
+            message=str(error)[:500],  # Truncate long error messages
+            details=json.dumps(error_details)
+        )
+        db.session.add(log)
+        db.session.commit()
+    except Exception as log_error_exc:
+        # If logging fails, just print to console
+        print(f"Failed to log error to database: {log_error_exc}")
+        db.session.rollback()
     
     # Also log to application logger
     log_error(error, context={'task_id': task_id, 'service': service, 'region': region})
@@ -180,6 +188,9 @@ def scan_aws_resources(
         # Track if global services have been scanned for each credential
         global_services_scanned = set()
         
+        # Check if us-east-1 is in the selected regions
+        us_east_1_selected = 'us-east-1' in regions
+        
         for cred_id in credential_ids:
             credential = AWSCredential.query.get(cred_id)
             if not credential:
@@ -196,14 +207,24 @@ def scan_aws_resources(
                 # Scan global services only once per credential
                 if cred_id not in global_services_scanned:
                     try:
+                        # When us-east-1 is not selected, also scan ACM as a global service
+                        # ACM certificates in us-east-1 are used by CloudFront (global)
+                        services_to_scan_globally = list(scanner.global_services)
+                        if not us_east_1_selected and 'acm' not in services_to_scan_globally:
+                            services_to_scan_globally.append('acm')
+                            log_task_message(task_id, 'info', f'Adding ACM to global scan (us-east-1 not selected)', {
+                                'account_id': credential.account_id
+                            })
+                        
                         log_task_message(task_id, 'info', f'Scanning global services for account {credential.account_id}', {
-                            'account_id': credential.account_id
+                            'account_id': credential.account_id,
+                            'services': services_to_scan_globally
                         })
                         
-                        # Scan only global services
+                        # Scan global services (and ACM if us-east-1 not selected)
                         global_scan_result = scanner.scan_resources(
                             regions=['us-east-1'],  # Global services use us-east-1
-                            services=scanner.global_services
+                            services=services_to_scan_globally
                         )
                         
                         # Merge global results
@@ -252,7 +273,10 @@ def scan_aws_resources(
                         })
                 
                 # Get regional services (exclude global services)
+                # Also exclude ACM if us-east-1 is not selected (already scanned as global)
                 regional_services = [s for s in scanner.supported_services if s not in scanner.global_services]
+                if not us_east_1_selected:
+                    regional_services = [s for s in regional_services if s != 'acm']
                 
                 for region in regions:
                     try:
@@ -355,47 +379,56 @@ def scan_aws_resources(
         
         report_path = None
         try:
-            # Get reports folder - use absolute path to ensure consistency
-            reports_folder = current_app.config.get('REPORTS_FOLDER', 'reports')
-            if not os.path.isabs(reports_folder):
-                # Convert to absolute path relative to the app root
-                reports_folder = os.path.abspath(reports_folder)
-            os.makedirs(reports_folder, exist_ok=True)
-            
-            # Generate filename and path
-            filename = generate_report_filename(project_metadata)
-            report_path = os.path.join(reports_folder, filename)
-            
-            # Get network diagram path if provided
-            network_diagram_path = project_metadata.get('network_diagram_path')
-            
-            # Generate the report
-            generator = ReportGenerator()
-            result = generator.generate_report(
-                scan_results=all_results,
-                project_metadata=project_metadata,
-                output_path=report_path,
-                network_diagram_path=network_diagram_path,
-                regions=regions
-            )
-            
-            # Create report record in database
-            report = Report(
-                task_id=task_id,
-                file_name=result['file_name'],
-                file_path=result['file_path'],
-                file_size=result['file_size']
-            )
-            db.session.add(report)
-            db.session.commit()
-            
-            log_task_message(task_id, 'info', f'Report generated: {filename}', {
-                'file_name': filename,
-                'file_size': result['file_size']
-            })
+            # Check if report already exists for this task (in case of retry)
+            existing_report = Report.query.filter_by(task_id=task_id).first()
+            if existing_report:
+                log_task_message(task_id, 'info', 'Report already exists, skipping generation', {
+                    'file_name': existing_report.file_name
+                })
+                report_path = existing_report.file_path
+            else:
+                # Get reports folder - use absolute path to ensure consistency
+                reports_folder = current_app.config.get('REPORTS_FOLDER', 'reports')
+                if not os.path.isabs(reports_folder):
+                    # Convert to absolute path relative to the app root
+                    reports_folder = os.path.abspath(reports_folder)
+                os.makedirs(reports_folder, exist_ok=True)
+                
+                # Generate filename and path
+                filename = generate_report_filename(project_metadata)
+                report_path = os.path.join(reports_folder, filename)
+                
+                # Get network diagram path if provided
+                network_diagram_path = project_metadata.get('network_diagram_path')
+                
+                # Generate the report
+                generator = ReportGenerator()
+                result = generator.generate_report(
+                    scan_results=all_results,
+                    project_metadata=project_metadata,
+                    output_path=report_path,
+                    network_diagram_path=network_diagram_path,
+                    regions=regions
+                )
+                
+                # Create report record in database
+                report = Report(
+                    task_id=task_id,
+                    file_name=result['file_name'],
+                    file_path=result['file_path'],
+                    file_size=result['file_size']
+                )
+                db.session.add(report)
+                db.session.commit()
+                
+                log_task_message(task_id, 'info', f'Report generated: {filename}', {
+                    'file_name': filename,
+                    'file_size': result['file_size']
+                })
             
         except Exception as e:
             # Log report generation error with full stack trace
+            db.session.rollback()  # Rollback any pending transaction
             log_task_error_with_trace(
                 task_id=task_id,
                 error=e,

frontend/package-lock.json

@@ -0,0 +1,4919 @@
+{
+  "name": "aws-resource-scanner-frontend",
+  "version": "0.1.0",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "name": "aws-resource-scanner-frontend",
+      "version": "0.1.0",
+      "dependencies": {
+        "@ant-design/icons": "^5.5.0",
+        "antd": "^5.21.0",
+        "axios": "^1.7.0",
+        "dayjs": "^1.11.13",
+        "react": "^18.3.0",
+        "react-dom": "^18.3.0",
+        "react-router-dom": "^6.28.0"
+      },
+      "devDependencies": {
+        "@types/react": "^18.3.0",
+        "@types/react-dom": "^18.3.0",
+        "@typescript-eslint/eslint-plugin": "^8.0.0",
+        "@typescript-eslint/parser": "^8.0.0",
+        "@vitejs/plugin-react": "^4.3.0",
+        "eslint": "^9.0.0",
+        "eslint-plugin-react-hooks": "^5.0.0",
+        "eslint-plugin-react-refresh": "^0.4.12",
+        "typescript": "^5.6.0",
+        "vite": "^5.4.0",
+        "vitest": "^2.0.0"
+      }
+    },
+    "node_modules/@ant-design/colors": {
+      "version": "7.2.1",
+      "resolved": "https://registry.npmjs.org/@ant-design/colors/-/colors-7.2.1.tgz",
+      "integrity": "sha512-lCHDcEzieu4GA3n8ELeZ5VQ8pKQAWcGGLRTQ50aQM2iqPpq2evTxER84jfdPvsPAtEcZ7m44NI45edFMo8oOYQ==",
+      "license": "MIT",
+      "dependencies": {
+        "@ant-design/fast-color": "^2.0.6"
+      }
+    },
+    "node_modules/@ant-design/cssinjs": {
+      "version": "1.24.0",
+      "resolved": "https://registry.npmjs.org/@ant-design/cssinjs/-/cssinjs-1.24.0.tgz",
+      "integrity": "sha512-K4cYrJBsgvL+IoozUXYjbT6LHHNt+19a9zkvpBPxLjFHas1UpPM2A5MlhROb0BT8N8WoavM5VsP9MeSeNK/3mg==",
+      "license": "MIT",
+      "dependencies": {
+        "@babel/runtime": "^7.11.1",
+        "@emotion/hash": "^0.8.0",
+        "@emotion/unitless": "^0.7.5",
+        "classnames": "^2.3.1",
+        "csstype": "^3.1.3",
+        "rc-util": "^5.35.0",
+        "stylis": "^4.3.4"
+      },
+      "peerDependencies": {
+        "react": ">=16.0.0",
+        "react-dom": ">=16.0.0"
+      }
+    },
+    "node_modules/@ant-design/cssinjs-utils": {
+      "version": "1.1.3",
+      "resolved": "https://registry.npmjs.org/@ant-design/cssinjs-utils/-/cssinjs-utils-1.1.3.tgz",
+      "integrity": "sha512-nOoQMLW1l+xR1Co8NFVYiP8pZp3VjIIzqV6D6ShYF2ljtdwWJn5WSsH+7kvCktXL/yhEtWURKOfH5Xz/gzlwsg==",
+      "license": "MIT",
+      "dependencies": {
+        "@ant-design/cssinjs": "^1.21.0",
+        "@babel/runtime": "^7.23.2",
+        "rc-util": "^5.38.0"
+      },
+      "peerDependencies": {
+        "react": ">=16.9.0",
+        "react-dom": ">=16.9.0"
+      }
+    },
+    "node_modules/@ant-design/fast-color": {
+      "version": "2.0.6",
+      "resolved": "https://registry.npmjs.org/@ant-design/fast-color/-/fast-color-2.0.6.tgz",
+      "integrity": "sha512-y2217gk4NqL35giHl72o6Zzqji9O7vHh9YmhUVkPtAOpoTCH4uWxo/pr4VE8t0+ChEPs0qo4eJRC5Q1eXWo3vA==",
+      "license": "MIT",
+      "dependencies": {
+        "@babel/runtime": "^7.24.7"
+      },
+      "engines": {
+        "node": ">=8.x"
+      }
+    },
+    "node_modules/@ant-design/icons": {
+      "version": "5.6.1",
+      "resolved": "https://registry.npmjs.org/@ant-design/icons/-/icons-5.6.1.tgz",
+      "integrity": "sha512-0/xS39c91WjPAZOWsvi1//zjx6kAp4kxWwctR6kuU6p133w8RU0D2dSCvZC19uQyharg/sAvYxGYWl01BbZZfg==",
+      "license": "MIT",
+      "dependencies": {
+        "@ant-design/colors": "^7.0.0",
+        "@ant-design/icons-svg": "^4.4.0",
+        "@babel/runtime": "^7.24.8",
+        "classnames": "^2.2.6",
+        "rc-util": "^5.31.1"
+      },
+      "engines": {
+        "node": ">=8"
+      },
+      "peerDependencies": {
+        "react": ">=16.0.0",
+        "react-dom": ">=16.0.0"
+      }
+    },
+    "node_modules/@ant-design/icons-svg": {
+      "version": "4.4.2",
+      "resolved": "https://registry.npmjs.org/@ant-design/icons-svg/-/icons-svg-4.4.2.tgz",
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+      "license": "MIT"
+    },
+    "node_modules/@ant-design/react-slick": {
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+      "resolved": "https://registry.npmjs.org/@ant-design/react-slick/-/react-slick-1.1.2.tgz",
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+      "license": "MIT",
+      "dependencies": {
+        "@babel/runtime": "^7.10.4",
+        "classnames": "^2.2.5",
+        "json2mq": "^0.2.0",
+        "resize-observer-polyfill": "^1.5.1",
+        "throttle-debounce": "^5.0.0"
+      },
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+        "react": ">=16.9.0"
+      }
+    },
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+      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.27.1.tgz",
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+      "license": "MIT",
+      "dependencies": {
+        "@babel/helper-validator-identifier": "^7.27.1",
+        "js-tokens": "^4.0.0",
+        "picocolors": "^1.1.1"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/compat-data": {
+      "version": "7.28.5",
+      "resolved": "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.28.5.tgz",
+      "integrity": "sha512-6uFXyCayocRbqhZOB+6XcuZbkMNimwfVGFji8CTZnCzOHVGvDqzvitu1re2AU5LROliz7eQPhB8CpAMvnx9EjA==",
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+      "license": "MIT",
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/core": {
+      "version": "7.28.5",
+      "resolved": "https://registry.npmjs.org/@babel/core/-/core-7.28.5.tgz",
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+      "dev": true,
+      "license": "MIT",
+      "peer": true,
+      "dependencies": {
+        "@babel/code-frame": "^7.27.1",
+        "@babel/generator": "^7.28.5",
+        "@babel/helper-compilation-targets": "^7.27.2",
+        "@babel/helper-module-transforms": "^7.28.3",
+        "@babel/helpers": "^7.28.4",
+        "@babel/parser": "^7.28.5",
+        "@babel/template": "^7.27.2",
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+        "@babel/types": "^7.28.5",
+        "@jridgewell/remapping": "^2.3.5",
+        "convert-source-map": "^2.0.0",
+        "debug": "^4.1.0",
+        "gensync": "^1.0.0-beta.2",
+        "json5": "^2.2.3",
+        "semver": "^6.3.1"
+      },
+      "engines": {
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+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/babel"
+      }
+    },
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+      "license": "ISC",
+      "bin": {
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+      }
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+        "@babel/types": "^7.28.5",
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+        "jsesc": "^3.0.2"
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+      }
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+        "@babel/helper-validator-option": "^7.27.1",
+        "browserslist": "^4.24.0",
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+      }
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+      "dev": true,
+      "license": "ISC",
+      "bin": {
+        "semver": "bin/semver.js"
+      }
+    },
+    "node_modules/@babel/helper-globals": {
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+      "license": "MIT",
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
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+      "dependencies": {
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frontend/src/pages/Tasks.tsx

@@ -650,7 +650,9 @@ export default function Tasks() {
                 <Descriptions.Item label="Created At">{formatDate(selectedTask.created_at)}</Descriptions.Item>
                 <Descriptions.Item label="Completed At">{formatDate(selectedTask.completed_at)}</Descriptions.Item>
                 <Descriptions.Item label="Regions" span={2}>
-                  {selectedTask.regions?.map((r: string) => <Tag key={r}>{r}</Tag>) || '-'}
+                  <div style={{ display: 'flex', flexWrap: 'wrap', gap: '4px' }}>
+                    {selectedTask.regions?.map((r: string) => <Tag key={r}>{r}</Tag>) || '-'}
+                  </div>
                 </Descriptions.Item>
               </Descriptions>
             </Card>