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# Gitea集成方案设计
## 一、概述
本方案旨在将算法管理系统与Gitea代码仓库管理系统集成实现通过算法管理页面直接操作Gitea仓库的功能包括创建仓库、查看仓库、删除仓库等基本操作。
## 二、前端设计
### 2.1 界面修改
#### 2.1.1 算法管理页面
在现有的算法管理页面上添加以下元素:
1. **Gitea配置按钮**在操作栏添加一个按钮用于配置Gitea连接信息
2. **仓库操作按钮组**:在每个仓库的操作列中添加仓库操作按钮组,包括:
- 编辑
- 查看仓库跳转到Gitea仓库页面
- 删除同步删除系统数据和Gitea仓库
#### 2.1.2 Gitea配置对话框
创建一个对话框用于配置Gitea连接信息
- Gitea服务器URL
- 访问令牌
- 默认组织/用户
- 仓库前缀
#### 2.1.3 仓库操作对话框
为每个仓库操作创建相应的对话框:
- **添加仓库**输入仓库名称、描述、类型、Git仓库名、分支等
- **编辑仓库**修改仓库名称、描述、类型Git仓库名、仓库地址、分支等字段为只读
### 2.2 前端状态管理
添加Gitea相关的状态管理
- Gitea配置信息
- 仓库列表
- 操作状态
- 错误信息
### 2.3 前端API调用
前端需要调用的后端API
- `/api/v1/gitea/config`获取和设置Gitea配置
- `/api/v1/gitea/repos/create`:创建仓库
- `/api/v1/gitea/repos/update`:更新仓库信息
- `/api/v1/repositories`:获取和管理仓库列表
- `/api/v1/repositories/{repo_id}`:获取、更新、删除单个仓库
## 三、后端设计
### 3.1 核心组件
#### 3.1.1 Gitea客户端
创建一个Gitea API客户端封装与Gitea服务器的通信
- 认证管理
- 仓库操作(创建、更新、删除)
- 错误处理
#### 3.1.2 仓库管理服务
实现仓库管理服务处理与Gitea相关的业务逻辑
- 仓库的CRUD操作
- 与算法管理的集成
#### 3.1.3 配置管理
管理Gitea连接配置
- 配置的存储和读取
- 配置的验证
- 配置的加密(访问令牌)
### 3.2 数据库设计
#### 3.2.1 Gitea配置表
| 字段名 | 数据类型 | 描述 |
|-------|---------|------|
| id | UUID | 配置ID |
| server_url | String | Gitea服务器URL |
| access_token | String | 访问令牌(加密) |
| default_owner | String | 默认组织/用户 |
| repo_prefix | String | 仓库前缀 |
| created_at | Timestamp | 创建时间 |
| updated_at | Timestamp | 更新时间 |
#### 3.2.2 算法-仓库关联表
| 字段名 | 数据类型 | 描述 |
|-------|---------|------|
| id | UUID | 关联ID |
| algorithm_id | UUID | 算法ID |
| repo_id | String | Gitea仓库ID |
| repo_url | String | 仓库URL |
| branch | String | 默认分支 |
| created_at | Timestamp | 创建时间 |
| updated_at | Timestamp | 更新时间 |
### 3.3 API设计
#### 3.3.1 Gitea配置API
- **GET /api/gitea/config**
- 功能获取Gitea配置
- 响应Gitea配置信息
- **POST /api/gitea/config**
- 功能设置Gitea配置
- 请求体Gitea配置信息
- 响应:操作结果
#### 3.3.2 仓库管理API
- **POST /api/gitea/repos/create**
- 功能:创建仓库
- 请求体仓库信息名称、描述、算法ID等
- 响应:创建结果
- **PATCH /api/gitea/repos/update**
- 功能:更新仓库信息
- 请求体仓库信息算法ID、描述等
- 响应:更新结果
#### 3.3.3 算法仓库管理API
- **GET /api/repositories**
- 功能:获取算法仓库列表
- 响应:仓库列表
- **GET /api/repositories/{repo_id}**
- 功能:获取单个算法仓库详情
- 响应:仓库详情
- **POST /api/repositories**
- 功能:添加算法仓库
- 请求体仓库信息名称、描述、类型、仓库URL、分支等
- 响应:添加结果
- **PUT /api/repositories/{repo_id}**
- 功能:更新算法仓库信息
- 请求体:仓库信息(名称、描述、类型等)
- 响应:更新结果
- **DELETE /api/repositories/{repo_id}**
- 功能:删除算法仓库
- 响应:删除结果
## 四、实现流程
### 4.1 配置流程
1. 用户点击"Gitea配置"按钮
2. 在对话框中输入Gitea服务器URL、访问令牌、默认组织/用户和仓库前缀
3. 系统验证配置信息并保存
### 4.2 仓库添加流程
1. 用户点击"添加算法仓库"按钮
2. 在对话框中输入仓库名称、描述、仓库类型、Git仓库名和分支
3. 系统自动计算仓库URL
4. 用户可以选择本地存储路径
5. 系统调用Gitea API创建仓库
6. 系统将仓库信息保存到数据库
### 4.3 仓库编辑流程
1. 用户选择一个仓库,点击"编辑"按钮
2. 在对话框中修改仓库名称、描述和类型
3. 系统更新本地数据库中的仓库信息
4. 系统调用Gitea API更新远程仓库信息
### 4.4 仓库查看流程
1. 用户选择一个仓库,点击"查看仓库"按钮
2. 系统根据Gitea配置和仓库信息构建仓库URL
3. 系统在新窗口中打开Gitea仓库页面
### 4.5 仓库删除流程
1. 用户选择一个仓库,点击"删除"按钮
2. 系统弹出确认对话框
3. 用户确认删除
4. 系统调用Gitea API删除远程仓库
5. 系统删除本地数据库中的仓库信息
## 五、技术实现要点
### 5.1 前端实现
- **框架**Vue 3 + TypeScript
- **构建工具**Vite
- **状态管理**Pinia
- **UI组件库**Element Plus
- **HTTP客户端**Axios
- **路由**Vue Router
- **核心功能**
- Gitea配置管理
- 算法仓库列表展示
- 仓库添加、编辑、查看、删除操作
- 本地路径选择功能
### 5.2 后端实现
- **框架**FastAPI
- **数据库**SQLite (或 PostgreSQL)
- **ORM**SQLAlchemy
- **Gitea API**直接调用Gitea REST API
- **核心功能**
- Gitea客户端封装
- 仓库创建、更新、删除操作
- 算法仓库管理
- 错误处理和日志记录
### 5.3 安全考虑
- 访问令牌的加密存储
- API调用的权限控制
- 输入验证和错误处理
- 防止代码注入和恶意操作
### 5.4 性能考虑
- 异步处理Git操作
- 缓存仓库信息
- 分批处理大量数据
- 优化API响应时间
## 六、集成测试
### 6.1 测试场景
1. **Gitea配置测试**:测试配置的保存和验证
2. **仓库添加测试**测试添加算法仓库并在Gitea上创建仓库
3. **仓库编辑测试**测试更新算法仓库信息并同步到Gitea
4. **仓库查看测试**测试打开Gitea仓库页面
5. **仓库删除测试**测试删除算法仓库并同步删除Gitea仓库
6. **本地路径选择测试**:测试选择本地存储路径
### 6.2 测试环境
- **Gitea服务器**:本地或测试环境
- **算法管理系统**:本地开发环境
- **测试仓库**在Gitea上创建的测试仓库
## 七、结论
本方案通过将算法管理系统与Gitea代码仓库管理系统集成实现了算法仓库的可视化管理和操作提高了算法开发和部署的效率。系统支持Gitea配置管理、算法仓库的添加、编辑、查看和删除操作以及本地路径选择功能为用户提供了便捷的算法仓库管理体验。
该方案具有以下优点:
1. **操作简便**:通过统一的界面管理算法仓库,无需切换工具
2. **功能完整**:支持基本的仓库操作,满足日常管理需求
3. **集成紧密**:与现有算法管理流程无缝集成
4. **可扩展性**:可以根据需要添加更多高级功能
通过实施本方案,算法管理系统将成为一个更加完整和强大的平台,为算法开发和部署提供更好的支持。

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# 智能算法展示平台
智能算法展示平台是一个面向客户的算法能力可视化呈现系统,同时兼顾内部算法管理。平台通过「仿真输入 - 一键调用 - 效果可视化」的核心链路让客户快速感知算法价值同时为内部团队提供算法API管理能力。
## 项目概述
**核心定位:**
- **对外:** 算法能力展示窗口适配ML/强化学习/计算机视觉等全类型算法
- **对内:** 算法API管理台支持算法API的注册、版本管理、调用监控、权限配置
## 架构设计
### 技术栈
#### 前端技术栈
- Vue 3 + TypeScript
- Vite 构建工具
- Pinia 状态管理
- Element Plus UI组件库
- ECharts 数据可视化
- Three.js 3D可视化
#### 后端技术栈
- FastAPI Web框架
- PostgreSQL 数据库
- Redis 缓存
- RabbitMQ 消息队列
- JWT 认证
- MinIO 对象存储
#### 部署技术栈
- Docker 容器化
- Docker Compose 编排
- Nginx 反向代理
### 系统架构
```
+------------------------+ +------------------------+ +------------------------+
| | | | | |
| 前端客户展示层 | | 后端核心服务层 | | 算法API层 |
| (Vue3 + TypeScript) | | (Python Web Framework) | | (算法封装与执行) |
| | | | | |
+------------------------+ +------------------------+ +------------------------+
| | | | | |
| 1. 仿真输入获取模块 | | 1. API网关 | | 1. 算法注册 |
| 2. 算法调用模块 | | 2. 服务管理 | | 2. 版本管理 |
| 3. 效果展示模块 | | 3. 数据管理 | | 3. 权限配置 |
| 4. 历史记录模块 | | 4. 监控与日志 | | 4. 算法执行 |
| | | | | |
+------------------------+ +------------------------+ +------------------------+
```
## 核心功能
### 前端客户展示层
- **仿真输入获取模块**接入OpenAI API支持通过文本描述生成仿真输入数据
- **算法调用模块**:提供算法目录、一键调用和参数配置功能
- **效果展示模块**:支持图表、图像对比、数值分析等多种展示方式
- **历史记录模块**:保存客户的测试历史,方便查看和比较
### 后端核心服务层
- **API网关**:请求路由、认证授权、流量控制
- **服务管理**:管理算法服务的基本配置和状态
- **数据管理**:输入数据存储、输出结果存储、元数据管理
- **监控与日志**:调用监控、日志管理和告警系统
### 算法API层
- **算法注册**管理算法的基本信息、API规范定义、部署配置
- **版本管理**:支持算法的多版本管理、版本切换、版本比较
- **权限配置**:访问控制、密钥管理、审计日志
### 开发SDK和工具模块
- **SDK开发**提供Python、JavaScript等多种语言的SDK
- **命令行工具**:支持算法管理、调用测试等功能
- **API文档**提供详细的API文档和使用示例
- **示例代码**:提供丰富的示例代码,便于开发者快速上手
## 运行项目
详细运行指南请参阅 [RUNNING.md](RUNNING.md)。
### 快速启动
```bash
# Docker Compose 方式(推荐)
cd deploy
./deploy.sh
# 或本地开发模式
# 后端
cd backend
pip install -r requirements.txt
uvicorn app.main:app --reload
# 前端
cd frontend
npm install
npm run dev
```
## 部署
项目支持多种部署方式:
1. **Docker Compose 部署**:适用于生产环境
2. **本地开发部署**:适用于开发和测试
3. **云平台部署**:可部署到各种云平台
详细部署说明请参阅 [RUNNING.md](RUNNING.md) 和 [TROUBLESHOOTING.md](TROUBLESHOOTING.md)。
## 项目结构
```
algorithm-showcase/
├── backend/ # 后端服务
│ ├── app/ # 应用代码
│ │ ├── main.py # 应用入口
│ │ ├── gateway.py # API网关
│ │ ├── services/ # 服务层
│ │ └── routes/ # 路由定义
│ ├── requirements.txt # 依赖文件
│ └── Dockerfile # Docker镜像定义
├── frontend/ # 前端应用
│ ├── src/ # 源代码
│ │ ├── components/ # 组件
│ │ ├── views/ # 视图
│ │ ├── stores/ # 状态管理
│ │ └── utils/ # 工具函数
│ ├── package.json # 依赖配置
│ └── Dockerfile # Docker镜像定义
├── sdk/ # SDK和工具
│ ├── python/ # Python SDK
│ ├── javascript/ # JavaScript SDK
│ └── cli/ # 命令行工具
├── deploy/ # 部署配置
│ ├── docker-compose-full.yml # 完整部署配置
│ ├── nginx.conf # Nginx配置
│ └── deploy.sh # 部署脚本
├── tests/ # 测试套件
│ ├── integration_tests.py # 集成测试
│ ├── integration_test_config.py # 测试配置
│ └── run_tests.py # 测试运行脚本
├── docs/ # 文档
│ ├── api-reference.md # API参考文档
│ ├── api-examples.md # API使用示例
│ └── cli-examples.md # CLI使用示例
├── requirements-analysis.md # 需求分析
├── system-design.md # 系统设计
├── architecture-design.md # 架构设计
├── RUNNING.md # 运行指南
├── TROUBLESHOOTING.md # 故障排除指南
└── FINAL_SUMMARY.md # 项目完成总结
```
## API文档
API文档可在运行服务后访问http://localhost:8000/docs
详细API参考文档请参阅 [docs/api-reference.md](docs/api-reference.md)。
## SDK和工具
### Python SDK
```bash
pip install algorithm-showcase-sdk
```
### JavaScript SDK
```bash
npm install @algorithm-showcase/sdk
```
### 命令行工具
```bash
pip install algorithm-showcase-cli
```
## 测试
项目包含完整的测试套件:
```bash
# 运行所有测试
python tests/run_tests.py --all
# 运行单元测试
python tests/run_tests.py --unit
# 运行集成测试
python tests/run_tests.py --integration
```
## 故障排除
如果遇到问题,请参考 [TROUBLESHOOTING.md](TROUBLESHOOTING.md) 文档。
## 许可证
[根据需要添加许可证信息]
## 联系方式
[根据需要添加联系方式]

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# 智能算法展示平台 - 运行指南
## 系统要求
- Docker 和 Docker Compose
- 或者 Python 3.8+ 和 Node.js 18+
## 部署选项
### 选项1Docker Compose 部署(推荐)
#### 完整部署(适用于网络良好环境)
```bash
# 进入部署目录
cd deploy
# 运行部署脚本
./deploy.sh
```
#### 网络受限环境部署
```bash
# 手动拉取镜像
docker pull postgres:14-alpine
docker pull redis:7-alpine
docker pull minio/minio:latest
docker pull python:3.9-slim
docker pull node:18-alpine
# 使用预拉取镜像的Compose文件
docker-compose -f compose-without-build.yml up -d
```
### 选项2本地开发模式
#### 后端服务
```bash
# 进入后端目录
cd backend
# 安装依赖
pip install -r requirements.txt
# 启动服务
uvicorn app.main:app --reload
```
#### 前端服务
```bash
# 进入前端目录
cd frontend
# 安装依赖
npm install
# 启动开发服务器
npm run dev
```
## 服务地址
部署完成后,可通过以下地址访问服务:
- **前端应用**: http://localhost:3000
- **后端API**: http://localhost:8000
- **API文档**: http://localhost:8000/docs
- **MinIO控制台**: http://localhost:9001 (admin/minioadmin)
- **PostgreSQL**: localhost:5432
- **Redis**: localhost:6379
## 环境配置
### Docker环境变量
创建 `.env` 文件:
```bash
# 在 deploy 目录下创建 .env 文件
OPENAI_API_KEY=your_openai_api_key_here
SECRET_KEY=your_secret_key_here
```
### 本地开发环境变量
在本地开发时,可以创建 `.env` 文件:
```bash
# backend/.env
DATABASE_URL=postgresql://admin:password@localhost:5432/algorithm_db
REDIS_URL=redis://localhost:6379/0
MINIO_ENDPOINT=localhost:9000
MINIO_ACCESS_KEY=minioadmin
MINIO_SECRET_KEY=minioadmin
MINIO_BUCKET_NAME=algorithm-data
MINIO_SECURE=false
OPENAI_API_KEY=your_openai_api_key_here
SECRET_KEY=your_secret_key_here
ALGORITHM=HS256
ACCESS_TOKEN_EXPIRE_MINUTES=30
```
```bash
# frontend/.env
VITE_API_BASE_URL=http://localhost:8000/api
```
## 验证部署
### 检查服务状态
```bash
# Docker Compose 环境
docker-compose -f docker-compose-full.yml ps
# 检查特定服务日志
docker-compose -f docker-compose-full.yml logs backend
docker-compose -f docker-compose-full.yml logs frontend
```
### API测试
```bash
# 测试健康检查
curl http://localhost:8000/health
# 测试算法API
curl http://localhost:8000/api/v1/algorithms
# 测试API文档
open http://localhost:8000/docs
```
## 常用命令
### Docker Compose 管理
```bash
# 启动所有服务
docker-compose -f docker-compose-full.yml up -d
# 停止所有服务
docker-compose -f docker-compose-full.yml down
# 重建并启动服务
docker-compose -f docker-compose-full.yml up -d --build
# 查看服务日志
docker-compose -f docker-compose-full.yml logs -f
# 重启特定服务
docker-compose -f docker-compose-full.yml restart backend
```
### 本地开发
```bash
# 后端开发
cd backend
uvicorn app.main:app --reload --host 0.0.0.0 --port 8000
# 前端开发
cd frontend
npm run dev -- --host 0.0.0.0 --port 3000
```
## 故障排除
如果遇到问题,请参考 [TROUBLESHOOTING.md](TROUBLESHOOTING.md) 文档。
## 清理部署
```bash
# 停止并删除所有容器
docker-compose -f docker-compose-full.yml down
# 删除卷(会清除所有数据)
docker-compose -f docker-compose-full.yml down -v
# 清理未使用的Docker资源
docker system prune -a
```
## 性能调优
### Docker资源限制
可以在 `docker-compose.yml` 中添加资源限制:
```yaml
services:
backend:
# ... 其他配置
deploy:
resources:
limits:
cpus: '1.0'
memory: 2G
reservations:
cpus: '0.5'
memory: 1G
```
### 环境特定配置
根据部署环境调整配置:
- **开发环境**: 使用较低的资源限制,启用热重载
- **测试环境**: 适度的资源配置,禁用不必要的日志
- **生产环境**: 充足的资源,启用监控和日志聚合

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# 智能算法展示平台 - 故障排除指南
## Docker镜像拉取问题
### 问题描述
当尝试使用Docker Compose部署时可能会遇到镜像拉取缓慢或失败的问题特别是在网络受限的环境中。
### 解决方案
#### 1. 配置Docker镜像加速器
对于中国大陆用户可以配置Docker镜像加速器
```bash
# 编辑Docker守护进程配置
sudo mkdir -p /etc/docker
sudo tee /etc/docker/daemon.json <<-'EOF'
{
"registry-mirrors": [
"https://docker.mirrors.ustc.edu.cn",
"https://hub-mirror.c.163.com",
"https://mirror.baidubce.com"
]
}
EOF
# 重启Docker服务
sudo systemctl restart docker
```
#### 2. 手动拉取镜像
如果自动拉取失败,可以手动拉取所需镜像:
```bash
# 拉取所有必需的镜像
docker pull postgres:14-alpine
docker pull redis:7-alpine
docker pull minio/minio:latest
docker pull nginx:alpine
docker pull python:3.9-slim
docker pull node:18-alpine
```
#### 3. 使用不同的Compose文件
我们提供了两个Compose文件
- `docker-compose-full.yml` - 适用于网络良好的环境,包含构建步骤
- `compose-without-build.yml` - 适用于网络受限的环境,使用预拉取的镜像
#### 4. 本地开发模式
如果Docker部署遇到困难可以使用本地开发模式
```bash
# 启动后端服务
cd backend
pip install -r requirements.txt
uvicorn app.main:app --reload
# 启动前端服务
cd frontend
npm install
npm run dev
```
## 端口冲突问题
### 问题描述
部署时可能遇到端口已被占用的情况。
### 解决方案
检查并释放被占用的端口:
```bash
# 检查端口占用情况
lsof -i :8000
lsof -i :3000
lsof -i :5432
lsof -i :6379
lsof -i :9000
lsof -i :9001
# 终止占用端口的进程
kill -9 <PID>
```
## 数据库连接问题
### 问题描述
后端服务启动后无法连接到数据库。
### 解决方案
确保PostgreSQL服务已完全启动后再启动后端服务
```bash
# 等待PostgreSQL准备就绪
docker exec -it algorithm-showcase-postgres pg_isready
```
## MinIO连接问题
### 问题描述
后端服务无法连接到MinIO对象存储。
### 解决方案
MinIO服务在首次启动时需要一些时间初始化存储桶。如果遇到连接问题可以
1. 等待MinIO服务完全启动
2. 检查MinIO控制台 http://localhost:9001
3. 验证凭据是否正确admin/minioadmin
## 前端API连接问题
### 问题描述
前端无法连接到后端API。
### 解决方案
确保环境变量正确设置:
```bash
# 检查前端环境变量
VITE_API_BASE_URL=http://localhost:8000/api
```
## 部署验证
部署完成后,可以通过以下方式验证服务是否正常运行:
```bash
# 检查所有服务状态
docker-compose -f docker-compose-full.yml ps
# 测试后端API
curl http://localhost:8000/health
# 访问前端
open http://localhost:3000
# 访问API文档
open http://localhost:8000/docs
```
## 常见错误及解决方案
### 错误:`connection refused`
- 检查相应服务是否已启动
- 检查防火墙设置
### 错误:`permission denied`
- 检查文件权限
- 确保有足够的磁盘空间
### 错误:`port already allocated`
- 检查端口占用情况
- 终止占用端口的进程
### 错误:`image not found`
- 手动拉取缺失的镜像
- 检查镜像名称和标签是否正确
## 调试技巧
### 查看服务日志
```bash
# 查看所有服务日志
docker-compose -f docker-compose-full.yml logs
# 查看特定服务日志
docker-compose -f docker-compose-full.yml logs backend
docker-compose -f docker-compose-full.yml logs frontend
```
### 进入容器调试
```bash
# 进入后端容器
docker exec -it algorithm-showcase-backend bash
# 进入前端容器
docker exec -it algorithm-showcase-frontend sh
```
### 清理部署
```bash
# 停止并删除所有服务
docker-compose -f docker-compose-full.yml down
# 删除卷(谨慎使用,会删除所有数据)
docker-compose -f docker-compose-full.yml down -v
# 清理孤立容器
docker container prune
```
## 联系支持
如果遇到无法解决的问题,请联系技术支持并提供以下信息:
1. 操作系统版本
2. Docker和Docker Compose版本
3. 完整的错误日志
4. 已尝试的解决方案

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# 智能算法展示平台架构设计
## 1. 架构设计理念
智能算法展示平台的架构设计参考了MLflow的核心思想采用分层架构和模块化设计确保系统的可扩展性、可维护性和易用性。平台以算法为中心围绕算法的注册、管理、调用和展示构建完整的生态系统。
**设计理念:**
- **分层架构:** 清晰的层次划分,各层职责明确,便于独立开发和维护
- **模块化设计:** 功能模块解耦,便于扩展和重用
- **标准化接口:** 统一的API接口设计确保系统内部和外部集成的一致性
- **简洁实用:** 核心功能紧凑实现,满足内部使用需求
- **可观测性:** 基本的监控和日志系统,确保系统的可靠性和可维护性
## 2. 整体架构图
```
+------------------------+ +------------------------+ +------------------------+ +------------------------+
| | | | | | | |
| 前端客户展示层 | | 后端核心服务层 | | 算法API层 | | 开发SDK和工具模块 |
| (Vue3 + TypeScript) | | (Python Web Framework) | | (算法封装与执行) | | (SDK开发与工具) |
| | | | | | | |
+------------------------+ +------------------------+ +------------------------+ +------------------------+
| | | | | | | |
| 1. 仿真输入获取模块 | | 1. API网关 | | 1. 算法注册 | | 1. SDK开发 |
| 2. 算法调用模块 | | 2. 服务管理 | | 2. 版本管理 | | 2. 命令行工具 |
| 3. 效果展示模块 | | 3. 数据管理 | | 3. 权限配置 | | 3. API文档 |
| | | 4. 监控与日志 | | 4. 算法执行 | | 4. 示例代码 |
| | | | | | | |
+------------------------+ +------------------------+ +------------------------+ +------------------------+
| | | | | | | |
| 用户交互界面 | | 核心业务逻辑 | | 算法封装与执行 | | 系统集成与二次开发 |
| | | | | | | |
+------------------------+ +------------------------+ +------------------------+ +------------------------+
| | | | | | | |
| 调用前端API | | 调用后端服务 | | 调用算法实现 | | 调用SDK和工具 |
| | | | | | | |
+------------------------+ +------------------------+ +------------------------+ +------------------------+
| | | |
+--------------------------+--------------------------+--------------------------+
|
v
+------------------------+
| |
| 基础设施层 |
| |
+------------------------+
| |
| 1. 数据存储 |
| - PostgreSQL |
| - Redis |
| - MinIO |
| 2. 容器化部署 |
| - Docker |
| - Docker Compose |
| 3. 第三方服务 |
| - OpenAI API |
| 4. 监控与日志 |
| - 简单日志管理 |
| - 基本监控指标 |
| |
+------------------------+
```
## 3. 各层详细设计
### 3.1 前端客户展示层
**职责:**
- 负责用户交互和效果展示
- 提供直观、友好的用户界面
- 处理用户输入和请求
- 展示算法执行结果和可视化效果
**核心组件:**
- **仿真输入获取组件:** 集成OpenAI API支持多种类型的输入数据
- **算法调用组件:** 提供算法目录和参数配置界面
- **效果展示组件:** 提供多维度的可视化效果展示
- **历史记录组件:** 管理用户的测试历史
**技术实现:**
- **框架:** Vue 3 + TypeScript
- **构建工具:** Vite
- **状态管理:** Pinia
- **UI组件库** Element Plus
- **可视化库:** ECharts
- **HTTP客户端** Axios
- **路由:** Vue Router
### 3.2 后端核心服务层
**职责:**
- 处理前端请求和业务逻辑
- 管理算法服务的基本配置和状态
- 存储和管理数据
- 监控系统运行状态
**核心组件:**
- **API网关** 请求路由、认证授权、流量控制
- **服务管理:** 服务基本配置和状态管理
- **数据管理:** 输入数据存储、输出结果存储、元数据管理
- **监控与日志:** 基本的调用监控、日志管理和告警
**技术实现:**
- **Web框架** FastAPI推荐或 Flask
- **数据库:** PostgreSQL
- **缓存:** Redis
- **消息队列:** RabbitMQ
- **认证:** JWT
- **API文档** OpenAPI
### 3.3 算法API层
**职责:**
- 封装算法实现
- 提供标准化的API接口
- 执行算法并返回结果
- 管理算法版本和权限
**核心组件:**
- **算法注册:** 管理算法信息和API规范
- **版本管理:** 支持算法多版本管理和切换
- **权限配置:** 控制算法的访问权限
- **算法执行:** 处理输入数据,执行算法逻辑
**技术实现:**
- **Web框架** FastAPI或Flask
- **容器化:** Docker
- **部署管理:** Docker Compose
- **版本控制:** Git
- **权限管理:** RBAC
### 3.4 基础设施层
**职责:**
- 提供系统运行所需的基础设施
- 支持系统的扩展和部署
- 确保系统的可靠性和安全性
**核心组件:**
- **数据存储:** PostgreSQL结构化数据、Redis缓存、MinIO非结构化数据
- **容器化部署:** Docker容器化、Docker Compose部署管理
- **第三方服务:** OpenAI API用于生成仿真输入数据
- **监控与日志:** 简单日志管理、基本监控指标
**技术实现:**
- **容器技术:** Docker
- **部署工具:** Docker Compose
- **存储服务:** PostgreSQL、Redis、MinIO
- **监控工具:** 轻量级监控方案(如内置监控功能或简单日志)
### 3.5 开发SDK和工具模块
**职责:**
- 提供开发SDK便于系统集成和二次开发
- 开发命令行工具,支持算法管理和调用测试
- 生成API文档便于开发者理解和使用系统
- 提供示例代码,便于开发者快速上手
**核心组件:**
- **SDK开发** 提供Python、JavaScript等多种语言的SDK
- **命令行工具:** 支持算法管理、调用测试等功能
- **API文档** 基于OpenAPI规范生成详细的API文档
- **示例代码:** 提供丰富的示例代码,覆盖常见使用场景
**技术实现:**
- **SDK开发** 使用Python包管理工具如pip发布Python SDK使用npm发布JavaScript SDK
- **命令行工具:** 使用Click或argparse实现命令行工具
- **API文档** 使用OpenAPI规范生成API文档
- **示例代码:** 提供Python、JavaScript等多种语言的示例代码
## 4. 组件交互流程
### 4.1 算法调用流程
```
+------------------------+ +------------------------+ +------------------------+ +------------------------+
| | | | | | | |
| 前端客户展示层 | | 后端核心服务层 | | 算法API层 | | 基础设施层 |
| | | | | | | |
+------------------------+ +------------------------+ +------------------------+ +------------------------+
| | | |
| 1. 发送算法调用请求 | | |
+---------------------------> | | |
| | 2. 验证用户身份和权限 | |
| |----------------------------> | |
| | | 3. 发现对应的算法服务 |
| | |----------------------------> |
| | | 4. 执行算法 |
| | |----------------------------> |
| | | 5. 返回执行结果 |
| | 6. 存储调用记录 | <---------------------------|
| 7. 展示算法执行结果 | <---------------------------|
| <---------------------------|
```
### 4.2 算法注册流程
```
+------------------------+ +------------------------+ +------------------------+ +------------------------+
| | | | | | | |
| 前端客户展示层 | | 后端核心服务层 | | 算法API层 | | 基础设施层 |
| | | | | | | |
+------------------------+ +------------------------+ +------------------------+ +------------------------+
| | | |
| 1. 填写算法注册信息 | | |
+---------------------------> | | |
| | 2. 验证管理员权限 | |
| |----------------------------> | |
| | 3. 存储算法信息 | |
| |----------------------------> | |
| | 4. 配置算法部署 | |
| |----------------------------> | |
| | 5. 测试算法API | |
| |----------------------------> | |
| | 6. 发布算法 | |
| 7. 算法注册成功提示 | <---------------------------|
| <---------------------------|
```
### 4.3 效果对比流程
```
+------------------------+ +------------------------+ +------------------------+ +------------------------+
| | | | | | | |
| 前端客户展示层 | | 后端核心服务层 | | 算法API层 | | 基础设施层 |
| | | | | | | |
+------------------------+ +------------------------+ +------------------------+ +------------------------+
| | | |
| 1. 选择对比算法和参数 | | |
+---------------------------> | | |
| | 2. 验证用户身份 | |
| |----------------------------> | |
| | 3. 依次执行每个算法 | |
| |----------------------------> | |
| | | 4. 执行算法1 |
| | |----------------------------> |
| | | 5. 返回执行结果1 |
| | 6. 存储执行结果1 | <---------------------------|
| | 7. 执行算法2 | |
| |----------------------------> | |
| | | 8. 执行算法2 |
| | |----------------------------> |
| | | 9. 返回执行结果2 |
| | 10. 存储执行结果2 | <---------------------------|
| | 11. 生成对比结果 | |
| 12. 展示对比结果 | <---------------------------|
| <---------------------------|
```
## 5. 技术选型理由
### 5.1 前端技术选型
- **Vue 3 + TypeScript** 提供强类型支持和组件化开发能力,提高代码质量和开发效率
- **Vite** 快速的构建工具,提供更好的开发体验和构建性能
- **Pinia** 轻量级状态管理库替代Vuex提供更好的TypeScript支持
- **Element Plus** 功能丰富的UI组件库提供良好的用户体验
- **Three.js** 3D可视化库用于复杂数据的三维展示
- **ECharts** 强大的图表库,用于数据的二维可视化
### 5.2 后端技术选型
- **FastAPI** 高性能的Python Web框架提供自动API文档生成和类型提示
- **PostgreSQL** 功能强大的关系型数据库,支持复杂查询和事务
- **Redis** 高性能的缓存数据库,用于缓存热点数据和管理会话
- **RabbitMQ** 可靠的消息队列,用于异步任务处理和服务解耦
- **JWT** 无状态的认证机制,便于水平扩展
### 5.3 部署技术选型
- **Docker** 容器化技术,确保环境一致性和部署效率
- **Docker Compose** 简化多容器应用的部署和管理,适合内部使用的小型系统
### 5.4 数据存储选型
- **PostgreSQL** 功能强大的关系型数据库,支持复杂查询和事务,适合存储结构化数据
- **Redis** 高性能的缓存数据库,用于缓存热点数据和管理会话,提高系统性能
- **MinIO** 兼容S3的对象存储服务适合存储非结构化数据如图片、视频部署简单适合内部使用
### 5.5 第三方服务选型
- **OpenAI API** 用于生成仿真输入数据,支持通过文本描述生成各种类型的输入数据,提高系统的灵活性和用户体验
## 6. 部署和扩展方案
### 6.1 部署方案
**开发环境:**
- 本地Docker Compose部署包含所有必要的服务
- 前端使用Vite开发服务器支持热重载
- 后端使用FastAPI开发服务器支持自动重载
**测试环境:**
- 本地或内网服务器Docker Compose部署
- 模拟真实用户流量进行测试
- 基本的监控和日志系统
**生产环境:**
- 内网服务器Docker Compose部署
- 单节点或少量节点部署,满足内部使用需求
- 手动部署通过Docker Compose命令进行服务管理
### 6.2 扩展方案
**功能扩展:**
- **功能模块扩展:** 通过模块化设计,支持新功能的快速集成
- **算法类型扩展:** 通过标准化的API接口支持新算法类型的集成
- **数据源扩展:** 通过适配器模式,支持新数据源的集成
**技术栈扩展:**
- **框架升级:** 支持框架版本的平滑升级,确保系统的稳定性和安全性
- **数据库迁移:** 支持数据库的平滑迁移和升级,确保数据的一致性和可靠性
## 7. 架构优势
### 7.1 可扩展性
- **分层架构:** 各层独立扩展,互不影响
- **模块化设计:** 功能模块解耦,便于新功能的快速集成
- **标准化接口:** 统一的API接口便于集成新的算法和服务
### 7.2 可维护性
- **模块化设计:** 功能模块解耦,便于独立开发和维护
- **标准化代码:** 统一的代码风格和规范,提高代码可读性
- **完善的文档:** 详细的系统文档和API文档便于理解和使用
- **可观测性:** 基本的监控和日志系统,便于问题排查和系统优化
### 7.3 易用性
- **直观的用户界面:** 友好的前端界面,便于用户操作和使用
- **标准化API** 统一的API接口设计便于系统集成和二次开发
- **简化部署:** 使用Docker Compose本地部署简化部署流程
- **集中管理:** 集中的管理界面,便于系统管理和监控
### 7.4 可靠性
- **容错机制:** 完善的错误处理和容错机制,确保系统的稳定性
- **数据备份:** 定期数据备份,确保数据的安全性和可靠性
- **安全措施:** 基本的安全措施,确保系统和数据的安全
## 8. 架构演进路线
### 8.1 第一阶段:基础架构搭建
- 搭建前端客户展示层、后端核心服务层和算法API层的基础架构
- 实现核心功能模块,包括算法注册、调用和展示
- 配置基础设施层包括数据存储和Docker Compose部署
- 完成系统集成和测试
### 8.2 第二阶段:功能完善
- 完善前端客户展示层的功能,包括效果展示和对比
- 增强后端核心服务层的能力,包括服务管理和基本监控
- 扩展算法API层的功能包括版本管理和权限配置
- 优化系统性能和用户体验
### 8.3 第三阶段:功能扩展
- 支持更多类型的算法和输入数据格式
- 集成必要的第三方服务如OpenAI如果需要
- 开发简单的工具,便于系统集成和使用
- 完善系统文档,促进内部使用和维护
### 8.4 第四阶段:优化升级
- 优化系统性能,提高算法执行效率
- 增强系统稳定性和可靠性
- 根据内部使用反馈,持续优化系统功能
- 简化运维流程,减少人工干预
## 9. 结论
智能算法展示平台的架构设计参考了MLflow的核心思想采用分层架构和模块化设计确保系统的可扩展性、可维护性和易用性。平台以算法为中心围绕算法的注册、管理、调用和展示构建完整的生态系统为用户提供直观、友好的算法测试和展示体验。
通过合理的技术选型和架构设计,平台能够支持多种类型的算法和部署方式,满足不同用户的需求。同时,平台的可扩展性和可维护性确保了系统能够随着业务需求的变化而不断演进和优化。
智能算法展示平台的架构设计为系统的开发和部署提供了清晰的指导,确保系统能够高质量、高效率地完成开发和上线,为用户提供优质的算法展示和测试服务。

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# Gitea 配置
GITEA_SERVER_URL=https://gitea.swiftsnake.cn
GITEA_ACCESS_TOKEN=26ccc228c6624f98d6dd629365be052e161b0da3
GITEA_DEFAULT_OWNER=yipai-tech
GITEA_REPO_PREFIX=AI

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FROM python:3.9-slim
# 设置工作目录
WORKDIR /app
# 安装系统依赖
RUN apt-get update && apt-get install -y \
gcc \
libpq-dev \
&& rm -rf /var/lib/apt/lists/*
# 复制依赖文件
COPY requirements.txt .
# 安装Python依赖
RUN pip install --no-cache-dir -r requirements.txt
# 复制应用代码
COPY . .
# 设置环境变量
ENV PYTHONUNBUFFERED=1
# 暴露端口
EXPOSE 8000
# 启动应用
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000", "--reload"]

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FROM crpi-x2l5uviq1k8hji3c.ap-northeast-1.personal.cr.aliyuncs.com/yipaidocker-images/linux_arm64_python:3.9-slim
# 设置工作目录
WORKDIR /app
# 清除代理设置
ENV HTTP_PROXY=""
ENV http_proxy=""
ENV HTTPS_PROXY=""
ENV https_proxy=""
ENV NO_PROXY="localhost,127.0.0.1"
ENV no_proxy="localhost,127.0.0.1"
# 复制依赖文件
COPY requirements.txt .
# 升级pip并安装Python依赖
RUN unset HTTP_PROXY && unset http_proxy && unset HTTPS_PROXY && unset https_proxy && \
pip install --upgrade pip && \
pip install --no-cache-dir -r requirements.txt
# 复制应用代码
COPY . .
# 设置环境变量
ENV PYTHONUNBUFFERED=1
# 暴露端口
EXPOSE 8000
# 启动应用
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]

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from pydantic_settings import BaseSettings
from typing import Optional
class Settings(BaseSettings):
"""应用配置类"""
# 应用基本配置
APP_NAME: str = "智能算法展示平台"
APP_VERSION: str = "1.0.0"
DEBUG: bool = True
# 数据库配置
DATABASE_URL: str = "postgresql://admin:password@localhost:5432/algorithm_db"
# Redis配置
REDIS_URL: str = "redis://localhost:6379/0"
# MinIO配置
MINIO_ENDPOINT: str = "localhost:9000"
MINIO_ACCESS_KEY: str = "minioadmin"
MINIO_SECRET_KEY: str = "minioadmin"
MINIO_BUCKET_NAME: str = "algorithm-data"
MINIO_SECURE: bool = False
# JWT配置
SECRET_KEY: str = "your-secret-key-here"
ALGORITHM: str = "HS256"
ACCESS_TOKEN_EXPIRE_MINUTES: int = 30
# OpenAI配置
OPENAI_API_KEY: Optional[str] = None
OPENAI_MODEL: str = "gpt-3.5-turbo"
# CORS配置
CORS_ORIGINS: list = ["*"]
# API配置
API_V1_STR: str = "/api/v1"
# Gitea 配置
GITEA_SERVER_URL: str = ""
GITEA_ACCESS_TOKEN: str = ""
GITEA_DEFAULT_OWNER: str = ""
GITEA_REPO_PREFIX: str = "AI"
class Config:
env_file = ".env"
case_sensitive = True
extra = "allow" # 允许额外的环境变量
# 创建全局配置实例
settings = Settings()

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"""
通用依赖项模块包含常用的FastAPI依赖项函数
"""
from fastapi import Depends, HTTPException, status
from fastapi.security import OAuth2PasswordBearer
from sqlalchemy.orm import Session
from app.models.database import get_db
from app.services.user import UserService
from app.schemas.user import UserResponse
# OAuth2密码Bearer
oauth2_scheme = OAuth2PasswordBearer(tokenUrl="/api/v1/users/login")
async def get_current_active_user(db: Session = Depends(get_db), token: str = Depends(oauth2_scheme)):
"""获取当前活跃用户"""
user = UserService.get_current_user(db, token)
if not user:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Could not validate credentials",
headers={"WWW-Authenticate": "Bearer"},
)
if hasattr(user, 'status') and user.status != "active":
raise HTTPException(status_code=400, detail="Inactive user")
return user

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"""API网关模块负责请求路由、认证授权、流量控制等功能"""
from fastapi import Request, HTTPException, status, Depends
from fastapi.responses import JSONResponse
from typing import Dict, Any, Optional
import time
import asyncio
import logging
from urllib.parse import urljoin
import httpx
from app.config.settings import settings
# Note: get_current_active_user is not used in this module, removing the import
from app.models.database import get_db
from app.services.algorithm import AlgorithmVersionService
logger = logging.getLogger(__name__)
class APIGateway:
"""API网关类处理请求路由、认证授权、流量控制等功能"""
def __init__(self):
self.request_counts = {} # 存储请求计数实际生产环境应使用Redis
async def authenticate_request(self, request: Request) -> Optional[Dict[str, Any]]:
"""验证请求的认证信息"""
try:
# 从请求头获取token
token = request.headers.get("Authorization", "").replace("Bearer ", "")
if not token:
return None
# 验证token有效性这里只是示例实际应该调用认证服务
# 在实际实现中可能需要连接数据库验证API密钥
# 或者解析JWT token
return {"user_id": "temp_user_id", "role": "user"} # 临时返回值
except Exception as e:
logger.error(f"Authentication error: {str(e)}")
return None
async def check_rate_limit(self, user_id: str, algorithm_id: str) -> bool:
"""检查用户对特定算法的请求频率限制"""
key = f"{user_id}:{algorithm_id}"
current_time = time.time()
if key not in self.request_counts:
self.request_counts[key] = []
# 清除超过时间窗口的请求记录
self.request_counts[key] = [
req_time for req_time in self.request_counts[key]
if current_time - req_time < settings.ACCESS_TOKEN_EXPIRE_MINUTES * 60 # 30分钟窗口
]
# 检查是否超过限制例如每分钟最多10次请求
if len(self.request_counts[key]) >= 10:
return False
# 添加当前请求记录
self.request_counts[key].append(current_time)
return True
async def route_request(self, algorithm_id: str, version_id: str, payload: Dict[str, Any]) -> Dict[str, Any]:
"""路由请求到相应的算法服务"""
try:
# 获取算法版本信息
db = next(get_db())
version_info = AlgorithmVersionService.get_version_by_id(db, version_id)
if not version_info:
raise HTTPException(status_code=404, detail="Algorithm version not found")
# 在实际实现中这里会根据version_info.url将请求转发到对应的算法服务
# 现在我们模拟调用过程
algorithm_url = version_info.url if hasattr(version_info, 'url') else f"http://localhost:8001/algorithms/{algorithm_id}/execute"
# 使用httpx调用算法服务
async with httpx.AsyncClient(timeout=30.0) as client:
response = await client.post(
algorithm_url,
json=payload,
headers={"Content-Type": "application/json"}
)
if response.status_code != 200:
raise HTTPException(
status_code=response.status_code,
detail=f"Algorithm service error: {response.text}"
)
return response.json()
except httpx.RequestError as e:
logger.error(f"Request to algorithm service failed: {str(e)}")
raise HTTPException(status_code=502, detail="Algorithm service unavailable")
except Exception as e:
logger.error(f"Routing error: {str(e)}")
raise HTTPException(status_code=500, detail="Internal server error")
# 全局API网关实例
api_gateway = APIGateway()
async def gateway_middleware(request: Request):
"""网关中间件,处理认证和路由"""
# 认证检查
user_info = await api_gateway.authenticate_request(request)
if not user_info:
raise HTTPException(status_code=status.HTTP_401_UNAUTHORIZED, detail="Unauthorized")
# 这里可以添加其他中间件逻辑,如权限检查、流量控制等
return user_info
async def call_algorithm_gateway(
algorithm_id: str,
version_id: str,
payload: Dict[str, Any],
user_info: Dict[str, Any] = Depends(gateway_middleware)
):
"""通过网关调用算法的主函数"""
# 检查速率限制
rate_limited = await api_gateway.check_rate_limit(user_info['user_id'], algorithm_id)
if not rate_limited:
raise HTTPException(status_code=429, detail="Rate limit exceeded")
# 路由请求到算法服务
result = await api_gateway.route_request(algorithm_id, version_id, payload)
return result
# 辅助函数:获取用户信息而不强制要求认证
async def get_optional_user(request: Request):
"""获取用户信息如果未认证则返回None"""
auth_header = request.headers.get("Authorization", "")
if auth_header.startswith("Bearer "):
token = auth_header.replace("Bearer ", "")
# 这里应该是实际的token验证逻辑
return {"user_id": "temp_user_id", "role": "user"} # 临时返回值
return None

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"""Gitea API客户端用于与Gitea服务器通信"""
import requests
import json
import logging
from typing import Optional, Dict, Any, List
logger = logging.getLogger(__name__)
class GiteaClient:
"""Gitea API客户端类"""
def __init__(self, server_url: str, access_token: str):
"""初始化Gitea客户端
Args:
server_url: Gitea服务器URL
access_token: Gitea访问令牌
"""
self.server_url = server_url.rstrip('/')
self.access_token = access_token
self.api_url = f"{self.server_url}/api/v1"
self.headers = {
"Authorization": f"token {self.access_token}",
"Content-Type": "application/json"
}
def _request(self, method: str, endpoint: str, data: Optional[Dict[str, Any]] = None) -> Optional[Dict[str, Any]]:
"""发送API请求
Args:
method: HTTP方法GET, POST, PUT, DELETE
endpoint: API端点
data: 请求数据
Returns:
API响应数据
"""
url = f"{self.api_url}/{endpoint}"
try:
if method == "GET":
response = requests.get(url, headers=self.headers, params=data)
elif method == "POST":
response = requests.post(url, headers=self.headers, json=data)
elif method == "PUT":
response = requests.put(url, headers=self.headers, json=data)
elif method == "PATCH":
response = requests.patch(url, headers=self.headers, json=data)
elif method == "DELETE":
response = requests.delete(url, headers=self.headers)
else:
raise ValueError(f"Unsupported HTTP method: {method}")
response.raise_for_status()
if response.content:
return response.json()
return None
except requests.RequestException as e:
logger.error(f"Gitea API request failed: {str(e)}")
return None
def create_repository(self, owner: str, name: str, description: str = "", private: bool = False) -> Optional[Dict[str, Any]]:
"""创建仓库
Args:
owner: 所有者(用户或组织)
name: 仓库名称
description: 仓库描述
private: 是否私有
Returns:
创建的仓库信息
"""
data = {
"name": name,
"description": description,
"private": private,
"auto_init": True
}
# 优先尝试在指定的 owner组织下创建仓库
logger.info(f"Attempting to create repository for owner: {owner}")
owner_response = self._request("POST", f"org/{owner}/repos", data)
if owner_response:
logger.info(f"Repository created successfully under owner: {owner}")
return owner_response
# 如果组织创建失败,尝试在用户下创建仓库
logger.info(f"Organization creation failed, trying user account")
user_response = self._request("POST", f"user/repos", data)
if user_response:
logger.info(f"Repository created successfully in user account")
return user_response
logger.error(f"Failed to create repository for owner {owner}")
return None
def get_repository(self, owner: str, repo: str) -> Optional[Dict[str, Any]]:
"""获取仓库信息
Args:
owner: 所有者(用户或组织)
repo: 仓库名称
Returns:
仓库信息
"""
return self._request("GET", f"repos/{owner}/{repo}")
def list_repositories(self, owner: str) -> Optional[List[Dict[str, Any]]]:
"""列出用户或组织的仓库
Args:
owner: 所有者(用户或组织)
Returns:
仓库列表
"""
return self._request("GET", f"users/{owner}/repos")
def delete_repository(self, owner: str, repo: str) -> bool:
"""删除仓库
Args:
owner: 所有者(用户或组织)
repo: 仓库名称
Returns:
是否删除成功
"""
response = self._request("DELETE", f"repos/{owner}/{repo}")
return response is not None
def create_file(self, owner: str, repo: str, path: str, content: str, message: str) -> Optional[Dict[str, Any]]:
"""创建或更新文件
Args:
owner: 所有者(用户或组织)
repo: 仓库名称
path: 文件路径
content: 文件内容base64编码
message: 提交消息
Returns:
操作结果
"""
data = {
"content": content,
"message": message
}
return self._request("POST", f"repos/{owner}/{repo}/contents/{path}", data)
def get_file(self, owner: str, repo: str, path: str) -> Optional[Dict[str, Any]]:
"""获取文件内容
Args:
owner: 所有者(用户或组织)
repo: 仓库名称
path: 文件路径
Returns:
文件信息和内容
"""
return self._request("GET", f"repos/{owner}/{repo}/contents/{path}")
def get_repository_files(self, owner: str, repo: str, path: str = "") -> Optional[List[Dict[str, Any]]]:
"""获取仓库文件列表
Args:
owner: 所有者(用户或组织)
repo: 仓库名称
path: 目录路径(默认为根目录)
Returns:
文件列表
"""
result = self._request("GET", f"repos/{owner}/{repo}/contents/{path}")
return result if isinstance(result, list) else None
def check_connection(self) -> bool:
"""检查与Gitea服务器的连接
Returns:
是否连接成功
"""
response = self._request("GET", "user")
return response is not None
def update_repository(self, owner: str, repo: str, name: Optional[str] = None, description: Optional[str] = None, private: Optional[bool] = None) -> Optional[Dict[str, Any]]:
"""更新仓库信息
Args:
owner: 所有者(用户或组织)
repo: 仓库名称
name: 新的仓库名称(可选)
description: 新的仓库描述(可选)
private: 是否私有(可选)
Returns:
更新后的仓库信息
"""
data = {}
if name is not None:
data["name"] = name
if description is not None:
data["description"] = description
if private is not None:
data["private"] = private
return self._request("PATCH", f"repos/{owner}/{repo}", data)

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"""Gitea服务处理与Gitea相关的业务逻辑"""
import os
import subprocess
import logging
import base64
from typing import Optional, Dict, Any, List
import uuid
from app.gitea.client import GiteaClient
from app.config.settings import settings
from app.models.database import SessionLocal
from app.models.models import GiteaConfig
logger = logging.getLogger(__name__)
class GiteaService:
"""Gitea服务类"""
def __init__(self):
"""初始化Gitea服务"""
self.config = self._load_config()
self.client = None
if self.config:
self.client = GiteaClient(
self.config['server_url'],
self.config['access_token']
)
def _load_config(self) -> Optional[Dict[str, Any]]:
"""加载Gitea配置
Returns:
Gitea配置信息
"""
try:
db = SessionLocal()
# 从数据库中获取配置(只取第一个配置)
config = db.query(GiteaConfig).filter_by(status="active").first()
db.close()
if config:
return {
'id': config.id,
'server_url': config.server_url,
'access_token': config.access_token,
'default_owner': config.default_owner,
'repo_prefix': config.repo_prefix,
'status': config.status
}
# 配置不存在时返回默认值
return {
'server_url': getattr(settings, 'GITEA_SERVER_URL', ''),
'access_token': getattr(settings, 'GITEA_ACCESS_TOKEN', ''),
'default_owner': getattr(settings, 'GITEA_DEFAULT_OWNER', ''),
'repo_prefix': getattr(settings, 'GITEA_REPO_PREFIX', '')
}
except Exception as e:
logger.error(f"Failed to load Gitea config from database: {str(e)}")
# 出错时返回默认配置
return {
'server_url': getattr(settings, 'GITEA_SERVER_URL', ''),
'access_token': getattr(settings, 'GITEA_ACCESS_TOKEN', ''),
'default_owner': getattr(settings, 'GITEA_DEFAULT_OWNER', ''),
'repo_prefix': getattr(settings, 'GITEA_REPO_PREFIX', '')
}
def save_config(self, config: Dict[str, Any]) -> bool:
"""保存Gitea配置
Args:
config: Gitea配置信息
Returns:
是否保存成功
"""
try:
db = SessionLocal()
# 将所有现有配置设置为非活动状态
db.query(GiteaConfig).update({GiteaConfig.status: "inactive"})
# 检查是否已有配置
existing_config = db.query(GiteaConfig).first()
if existing_config:
# 更新现有配置
existing_config.server_url = config['server_url']
existing_config.access_token = config['access_token']
existing_config.default_owner = config['default_owner']
existing_config.repo_prefix = config.get('repo_prefix', '')
existing_config.status = "active"
else:
# 创建新配置
new_config = GiteaConfig(
id=f"gitea-config-{uuid.uuid4()}",
server_url=config['server_url'],
access_token=config['access_token'],
default_owner=config['default_owner'],
repo_prefix=config.get('repo_prefix', ''),
status="active"
)
db.add(new_config)
db.commit()
db.close()
# 更新内存中的配置
self.config = config
self.client = GiteaClient(
config['server_url'],
config['access_token']
)
logger.info("Gitea config saved to database successfully")
return True
except Exception as e:
logger.error(f"Failed to save Gitea config to database: {str(e)}")
return False
def get_config(self) -> Optional[Dict[str, Any]]:
"""获取Gitea配置
Returns:
Gitea配置信息
"""
return self.config
def test_connection(self) -> bool:
"""测试Gitea连接
Returns:
是否连接成功
"""
if not self.client:
return False
return self.client.check_connection()
def create_repository(self, algorithm_id: str, algorithm_name: str, description: str = "") -> Optional[Dict[str, Any]]:
"""为算法创建Gitea仓库
Args:
algorithm_id: 算法ID
algorithm_name: 算法名称
description: 仓库描述
Returns:
创建的仓库信息
"""
try:
if not self.client:
logger.error("Gitea client not initialized. Please check your Gitea configuration.")
return None
if not self.config.get('default_owner'):
logger.error("Default owner not set in Gitea configuration.")
return None
# 记录传入的algorithm_id
logger.info(f"Received algorithm_id: {algorithm_id}")
# 检查是否已经包含前缀
repo_prefix = self.config.get('repo_prefix', '')
if repo_prefix and algorithm_id.startswith(repo_prefix):
logger.info(f"Algorithm ID already contains prefix: {repo_prefix}")
repo_name = algorithm_id
else:
# 生成仓库名称,添加前缀
repo_name = f"{repo_prefix}{algorithm_id}" if repo_prefix else algorithm_id
logger.info(f"Generated repository name: {repo_name}")
logger.info(f"Creating repository: {repo_name} for owner: {self.config['default_owner']}")
# 创建仓库
repo = self.client.create_repository(
self.config['default_owner'],
repo_name,
description or f"Algorithm repository for {algorithm_name}",
False
)
if repo:
logger.info(f"Repository created successfully: {repo}")
# 验证仓库是否真的存在
verify_repo = self.client.get_repository(self.config['default_owner'], repo_name)
if not verify_repo:
logger.error(f"Repository creation verified failed: {repo_name}")
return None
else:
logger.error(f"Failed to create repository: {repo_name}")
return repo
except Exception as e:
logger.error(f"Failed to create repository: {str(e)}")
return None
def clone_repository(self, repo_url: str, algorithm_id: str, branch: str = "main") -> bool:
"""克隆Gitea仓库
Args:
repo_url: 仓库URL
algorithm_id: 算法ID
branch: 分支名称
Returns:
是否克隆成功
"""
try:
# 创建本地目录
repo_dir = f"/tmp/algorithms/{algorithm_id}"
logger.info(f"Cloning repository to: {repo_dir}")
# 导入需要的模块
import shutil
import subprocess
# 如果目录已存在,先清理它
if os.path.exists(repo_dir):
logger.info(f"Cleaning existing repository directory: {repo_dir}")
try:
shutil.rmtree(repo_dir)
logger.info(f"Successfully cleaned directory: {repo_dir}")
except Exception as e:
logger.error(f"Failed to clean directory: {str(e)}")
# 尝试使用sudo删除如果有权限
try:
subprocess.run(["sudo", "rm", "-rf", repo_dir], check=True)
logger.info(f"Successfully cleaned directory with sudo: {repo_dir}")
except Exception as e2:
logger.error(f"Failed to clean directory with sudo: {str(e2)}")
return False
# 重新创建目录
logger.info(f"Creating directory: {repo_dir}")
os.makedirs(repo_dir, exist_ok=True)
logger.info(f"Directory created successfully: {repo_dir}")
# 克隆仓库
cmd = ["git", "clone", "-b", branch, repo_url, repo_dir]
logger.info(f"Running clone command: {' '.join(cmd)}")
result = subprocess.run(cmd, capture_output=True, text=True)
if result.returncode == 0:
logger.info(f"Repository cloned successfully: {repo_url}")
return True
else:
logger.error(f"Failed to clone repository: {result.stderr}")
# 尝试初始化仓库
logger.info(f"Trying to initialize repository in {repo_dir}")
# 初始化git仓库
init_result = subprocess.run(["git", "init"], cwd=repo_dir, capture_output=True, text=True)
if init_result.returncode != 0:
logger.error(f"Failed to initialize git repository: {init_result.stderr}")
return False
# 添加远程仓库
remote_result = subprocess.run(["git", "remote", "add", "origin", repo_url], cwd=repo_dir, capture_output=True, text=True)
if remote_result.returncode != 0:
logger.error(f"Failed to add remote repository: {remote_result.stderr}")
# 如果远程仓库已存在,尝试更新它
logger.info("Trying to update existing remote repository")
update_result = subprocess.run(["git", "remote", "set-url", "origin", repo_url], cwd=repo_dir, capture_output=True, text=True)
if update_result.returncode != 0:
logger.error(f"Failed to update remote repository: {update_result.stderr}")
return False
logger.info("Successfully updated remote repository")
# 创建初始文件
readme_path = os.path.join(repo_dir, "README.md")
with open(readme_path, "w") as f:
f.write("# Algorithm Repository\n\nThis is an algorithm repository.\n")
# 添加文件并提交
add_result = subprocess.run(["git", "add", "README.md"], cwd=repo_dir, capture_output=True, text=True)
if add_result.returncode != 0:
logger.error(f"Failed to add README.md: {add_result.stderr}")
return False
commit_result = subprocess.run(["git", "commit", "-m", "Initial commit"], cwd=repo_dir, capture_output=True, text=True)
if commit_result.returncode != 0:
logger.error(f"Failed to commit initial file: {commit_result.stderr}")
return False
# 推送代码到远程仓库
push_result = subprocess.run(["git", "push", "-u", "origin", branch], cwd=repo_dir, capture_output=True, text=True)
if push_result.returncode != 0:
logger.error(f"Failed to push initial commit: {push_result.stderr}")
# 即使推送失败,初始化仓库也算成功
logger.info(f"Repository initialized successfully, but push failed: {push_result.stderr}")
return True
logger.info(f"Repository initialized and pushed successfully: {repo_url}")
return True
except Exception as e:
logger.error(f"Failed to clone repository: {str(e)}")
return False
def push_to_repository(self, algorithm_id: str, message: str = "Update code") -> bool:
"""推送代码到Gitea仓库
Args:
algorithm_id: 算法ID
message: 提交消息
Returns:
是否推送成功
"""
try:
logger.info("=== 开始推送代码到Gitea仓库 ===")
logger.info(f"Algorithm ID: {algorithm_id}")
logger.info(f"Commit message: {message}")
repo_dir = f"/tmp/algorithms/{algorithm_id}"
logger.info(f"Repository directory: {repo_dir}")
if not os.path.exists(repo_dir):
logger.error(f"❌ Repository directory not found: {repo_dir}")
return False
# 首先尝试使用API上传推荐方法避免Git推送限制
logger.info("Attempting to upload files via Gitea API...")
api_upload_success = self.upload_files_via_api(algorithm_id, message)
if api_upload_success:
logger.info(f"✅ Code uploaded successfully via API for algorithm: {algorithm_id}")
return True
else:
logger.warning("❌ API upload failed, falling back to Git push...")
# 如果API上传失败回退到原来的Git推送方法
import subprocess
# 检查是否是git仓库
git_dir = os.path.join(repo_dir, ".git")
if not os.path.exists(git_dir):
logger.info(f"⚠️ Git repository not initialized, initializing...")
# 初始化git仓库
logger.info(f"Executing: git init in {repo_dir}")
init_result = subprocess.run(["git", "init"], cwd=repo_dir, capture_output=True, text=True)
logger.info(f"Git init output: {init_result.stdout}")
if init_result.stderr:
logger.warning(f"Git init stderr: {init_result.stderr}")
if init_result.returncode != 0:
logger.error(f"❌ Failed to initialize git repository: {init_result.stderr}")
return False
logger.info("✅ Git repository initialized successfully")
# 添加远程仓库(从配置中获取,包含访问令牌以确保认证)
if self.config.get('default_owner'):
# 使用访问令牌构建认证URL
auth_repo_url = f"https://{self.config['access_token']}@{self.config['server_url'].replace('https://', '').replace('http://', '')}/{self.config['default_owner']}/{algorithm_id}.git"
logger.info(f"Adding remote repository: {auth_repo_url}")
remote_result = subprocess.run(["git", "remote", "add", "origin", auth_repo_url], cwd=repo_dir, capture_output=True, text=True)
logger.info(f"Git remote add output: {remote_result.stdout}")
if remote_result.stderr:
logger.warning(f"Git remote add stderr: {remote_result.stderr}")
if remote_result.returncode != 0:
logger.error(f"❌ Failed to add remote repository: {remote_result.stderr}")
return False
logger.info("✅ Remote repository added successfully")
else:
logger.info("✅ Git repository already initialized")
# 执行git命令 - 分批添加文件以处理大量文件
logger.info("=== 执行Git操作 ===")
# 获取所有需要添加的文件
all_files = []
for root, dirs, files in os.walk(repo_dir):
if '.git' in root:
continue
for file in files:
if not file.endswith('.git'):
file_path = os.path.relpath(os.path.join(root, file), repo_dir)
all_files.append(file_path)
logger.info(f"Total files to add: {len(all_files)}")
# 分批添加文件,避免命令行参数过长
batch_size = 100 # 每次添加100个文件
for i in range(0, len(all_files), batch_size):
batch = all_files[i:i + batch_size]
logger.info(f"Adding batch {i//batch_size + 1}: {len(batch)} files")
add_result = subprocess.run(["git", "add"] + batch, cwd=repo_dir, capture_output=True, text=True)
if add_result.stderr and add_result.returncode != 0:
logger.error(f"❌ Git add batch {i//batch_size + 1} failed: {add_result.stderr}")
return False
elif add_result.stderr:
logger.warning(f"Git add batch {i//batch_size + 1} warning: {add_result.stderr}")
logger.info("✅ Git add completed successfully")
# 检查是否有更改需要提交
logger.info("Executing: git status --porcelain")
status_result = subprocess.run(["git", "status", "--porcelain"], cwd=repo_dir, capture_output=True, text=True)
logger.info(f"Git status output: {status_result.stdout}")
if status_result.stderr:
logger.warning(f"Git status stderr: {status_result.stderr}")
if status_result.returncode != 0:
logger.error(f"❌ Git status failed: {status_result.stderr}")
return False
# 如果有更改执行commit和push
if status_result.stdout.strip():
logger.info("✅ Changes detected, proceeding with commit and push")
# 执行git commit
logger.info(f"Executing: git commit -m '{message}'")
commit_result = subprocess.run(["git", "commit", "-m", message], cwd=repo_dir, capture_output=True, text=True)
logger.info(f"Git commit output: {commit_result.stdout}")
if commit_result.stderr:
logger.warning(f"Git commit stderr: {commit_result.stderr}")
if commit_result.returncode != 0:
logger.error(f"❌ Git commit failed: {commit_result.stderr}")
return False
logger.info("✅ Git commit completed successfully")
# 检查仓库大小
logger.info("Checking repository size before push")
total_size = 0
for dirpath, dirnames, filenames in os.walk(repo_dir):
for filename in filenames:
filepath = os.path.join(dirpath, filename)
if not filepath.startswith(os.path.join(repo_dir, '.git')):
total_size += os.path.getsize(filepath)
logger.info(f"Repository size (excluding .git): {total_size / (1024 * 1024):.2f} MB")
if total_size > 100 * 1024 * 1024: # 100MB
logger.warning(f"Repository is large: {total_size / (1024 * 1024):.2f} MB")
logger.warning("This may cause HTTP 413 errors on push")
# 设置Git推送缓冲区大小增加到1GB
logger.info("Setting Git http.postBuffer to 1GB")
buffer_result = subprocess.run(["git", "config", "http.postBuffer", "1073741824"], cwd=repo_dir, capture_output=True, text=True)
if buffer_result.returncode != 0:
logger.warning(f"Failed to set http.postBuffer: {buffer_result.stderr}")
else:
logger.info("✅ Git http.postBuffer set successfully")
# 禁用Git压缩
logger.info("Disabling Git compression")
compression_result = subprocess.run(["git", "config", "core.compression", "0"], cwd=repo_dir, capture_output=True, text=True)
if compression_result.returncode != 0:
logger.warning(f"Failed to set core.compression: {compression_result.stderr}")
else:
logger.info("✅ Git core.compression disabled successfully")
# 针对大仓库优化的推送命令
logger.info("Setting additional Git configs for large repositories...")
subprocess.run(["git", "config", "http.postBuffer", "524288000"], cwd=repo_dir) # 500MB buffer
subprocess.run(["git", "config", "pack.windowMemory", "128m"], cwd=repo_dir) # Limit memory usage
subprocess.run(["git", "config", "pack.packSizeLimit", "128m"], cwd=repo_dir) # Limit pack size
# 执行git push添加更多优化参数
logger.info("Executing: git push with optimizations for large repositories")
push_result = subprocess.run([
"git", "push",
"--verbose",
"-u", "origin", "main",
"--receive-pack='git receive-pack'", # Ensure proper receive pack
"--progress" # Show progress for large pushes
], cwd=repo_dir, capture_output=True, text=True, timeout=300) # 5 minute timeout
logger.info(f"Git push output: {push_result.stdout}")
if push_result.stderr:
logger.warning(f"Git push stderr: {push_result.stderr}")
if push_result.returncode != 0:
# 检查是否是常见的大文件错误
error_msg = push_result.stderr.lower()
is_large_file_error = (
"http 413" in error_msg or
"payload too large" in error_msg or
"unpack failed" in error_msg or
"remote: fatal" in error_msg or
"cannot spawn" in error_msg or
"timeout" in error_msg
)
if is_large_file_error:
logger.error(f"❌ Git push failed likely due to repository size: {total_size / (1024 * 1024):.2f} MB")
logger.error(f"Error details: {push_result.stderr}")
logger.error("\n📋 解决方案建议:")
logger.error("1. 检查Gitea服务器配置增加MAX_UPLOAD_SIZE限制")
logger.error("2. 尝试使用SSH协议进行推送如果服务器支持")
logger.error("3. 优化仓库大小,移除不必要的大文件")
logger.error("4. 考虑使用Git LFSLarge File Storage管理大文件")
# 尝试使用SSH协议进行推送如果URL是HTTPS格式
logger.info("\n🔄 尝试使用SSH协议进行推送...")
try:
# 获取当前远程URL
remote_result = subprocess.run(["git", "remote", "get-url", "origin"], cwd=repo_dir, capture_output=True, text=True, timeout=30)
if remote_result.returncode == 0:
https_url = remote_result.stdout.strip()
# 将HTTPS URL转换为SSH URL
if https_url.startswith("https://"):
ssh_url = https_url.replace("https://", "git@").replace(":", "/")
logger.info(f"Converting HTTPS URL to SSH URL: {ssh_url}")
# 更新远程URL
set_url_result = subprocess.run(["git", "remote", "set-url", "origin", ssh_url], cwd=repo_dir, capture_output=True, text=True, timeout=30)
if set_url_result.returncode == 0:
logger.info("✅ Remote URL updated to SSH format")
# 再次尝试推送,使用更保守的参数
logger.info("Executing: git push with SSH and conservative parameters")
ssh_push_result = subprocess.run([
"git", "push",
"--verbose",
"-u", "origin", "main"
], cwd=repo_dir, capture_output=True, text=True, timeout=600) # 10 minute timeout for SSH
if ssh_push_result.returncode == 0:
logger.info("✅ Git push completed successfully with SSH")
# 改回HTTPS URL
reset_url_result = subprocess.run(["git", "remote", "set-url", "origin", https_url], cwd=repo_dir, capture_output=True, text=True, timeout=30)
if reset_url_result.returncode != 0:
logger.warning(f"Failed to reset remote URL to HTTPS: {reset_url_result.stderr}")
return True
else:
logger.warning(f"SSH push failed: {ssh_push_result.stderr}")
# 改回HTTPS URL
reset_url_result = subprocess.run(["git", "remote", "set-url", "origin", https_url], cwd=repo_dir, capture_output=True, text=True, timeout=30)
if reset_url_result.returncode != 0:
logger.warning(f"Failed to reset remote URL to HTTPS: {reset_url_result.stderr}")
# 如果SSH也失败尝试分阶段推送
logger.info("\n🔄 尝试分阶段推送...")
return self.push_repository_staged(repo_dir, https_url)
else:
logger.warning(f"Could not get remote URL: {remote_result.stderr}")
except subprocess.TimeoutExpired:
logger.warning("Remote URL command timed out")
except Exception as e:
logger.warning(f"Failed to try SSH push: {str(e)}")
else:
logger.error(f"❌ Git push failed: {push_result.stderr}")
return False
logger.info("✅ Git push completed successfully")
else:
logger.info(" No changes to commit")
logger.info(f"✅ Code pushed successfully for algorithm: {algorithm_id}")
return True
except Exception as e:
logger.error(f"=== 推送代码失败 ===")
logger.error(f"Error: {str(e)}")
import traceback
logger.error(f"Traceback: {traceback.format_exc()}")
return False
def pull_from_repository(self, algorithm_id: str) -> bool:
"""从Gitea仓库拉取代码
Args:
algorithm_id: 算法ID
Returns:
是否拉取成功
"""
try:
repo_dir = f"/tmp/algorithms/{algorithm_id}"
if not os.path.exists(repo_dir):
logger.error(f"Repository directory not found: {repo_dir}")
return False
# 执行git pull命令
result = subprocess.run(
["git", "pull"],
cwd=repo_dir,
capture_output=True,
text=True
)
if result.returncode == 0:
logger.info(f"Code pulled successfully for algorithm: {algorithm_id}")
return True
else:
logger.error(f"Failed to pull code: {result.stderr}")
return False
except Exception as e:
logger.error(f"Failed to pull code: {str(e)}")
return False
def push_repository_staged(self, repo_dir: str, origin_url: str) -> bool:
"""
分阶段推送仓库,用于处理超大仓库
"""
try:
import subprocess
import os
logger.info("=== 开始分阶段推送仓库 ===")
logger.info(f"Repository directory: {repo_dir}")
# 获取所有文件并按类型分组
all_files = []
for root, dirs, files in os.walk(repo_dir):
# 跳过 .git 目录
if '.git' in root:
continue
for file in files:
file_path = os.path.relpath(os.path.join(root, file), repo_dir)
if file_path.startswith('.git'):
continue
all_files.append(file_path)
logger.info(f"Total files to stage: {len(all_files)}")
# 按扩展名分类文件,优先推送小文件
def get_file_size(file_path):
try:
return os.path.getsize(os.path.join(repo_dir, file_path))
except:
return 0
# 按文件大小排序(从小到大)
sorted_files = sorted(all_files, key=get_file_size)
# 分批处理每批最多50个文件或不超过50MB
batch_size_limit = 50
batch_size_bytes = 50 * 1024 * 1024 # 50MB
current_batch = []
current_batch_size = 0
batch_number = 1
for file_path in sorted_files:
file_full_path = os.path.join(repo_dir, file_path)
file_size = get_file_size(file_path)
# 如果单个文件太大,单独处理
if file_size > batch_size_bytes:
logger.info(f"Handling large file separately: {file_path} ({file_size / (1024*1024):.2f}MB)")
# 单独添加和推送这个大文件
add_result = subprocess.run(["git", "add", file_path], cwd=repo_dir, capture_output=True, text=True)
if add_result.returncode != 0:
logger.error(f"Failed to add large file {file_path}: {add_result.stderr}")
continue
# 检查是否有暂存的更改
status_result = subprocess.run(["git", "status", "--porcelain"], cwd=repo_dir, capture_output=True, text=True)
if status_result.stdout.strip():
# 创建专门的提交
commit_msg = f"Add large file: {file_path}"
commit_result = subprocess.run(["git", "commit", "-m", commit_msg], cwd=repo_dir, capture_output=True, text=True)
if commit_result.returncode == 0:
logger.info(f"Committed large file: {file_path}")
# 推送这个提交
push_result = subprocess.run([
"git", "push", "--verbose", "origin", "main"
], cwd=repo_dir, capture_output=True, text=True, timeout=300)
if push_result.returncode != 0:
logger.warning(f"Push failed for large file {file_path}: {push_result.stderr}")
# 如果推送失败,尝试重置这个文件的暂存状态
subprocess.run(["git", "reset", "HEAD", file_path], cwd=repo_dir, capture_output=True, text=True)
else:
logger.info(f"Successfully pushed large file: {file_path}")
else:
logger.error(f"Failed to commit large file {file_path}: {commit_result.stderr}")
else:
# 尝试添加到当前批次
if (len(current_batch) >= batch_size_limit or
current_batch_size + file_size > batch_size_bytes):
# 推送当前批次
if current_batch:
logger.info(f"Pushing batch {batch_number} with {len(current_batch)} files...")
success = self.push_batch(repo_dir, current_batch, batch_number, origin_url)
if not success:
logger.error(f"Failed to push batch {batch_number}")
return False
batch_number += 1
current_batch = []
current_batch_size = 0
current_batch.append(file_path)
current_batch_size += file_size
# 推送最后一批
if current_batch:
logger.info(f"Pushing final batch {batch_number} with {len(current_batch)} files...")
success = self.push_batch(repo_dir, current_batch, batch_number, origin_url)
if not success:
logger.error(f"Failed to push final batch {batch_number}")
return False
logger.info("✅ 分阶段推送完成")
return True
except Exception as e:
logger.error(f"❌ 分阶段推送失败: {str(e)}")
import traceback
logger.error(f"Traceback: {traceback.format_exc()}")
return False
def push_batch(self, repo_dir: str, file_batch: list, batch_num: int, origin_url: str) -> bool:
"""
推送文件批次
"""
try:
import subprocess
logger.info(f"Processing batch {batch_num}: {len(file_batch)} files")
# 添加批次中的文件
for file_path in file_batch:
add_result = subprocess.run(["git", "add", file_path], cwd=repo_dir, capture_output=True, text=True)
if add_result.returncode != 0:
logger.error(f"Failed to add file {file_path}: {add_result.stderr}")
return False
# 检查是否有更改需要提交
status_result = subprocess.run(["git", "status", "--porcelain"], cwd=repo_dir, capture_output=True, text=True)
if not status_result.stdout.strip():
logger.info(f"No changes in batch {batch_num}")
return True
# 提交批次
commit_result = subprocess.run([
"git", "commit", "-m", f"Batch {batch_num}: Add {len(file_batch)} files"
], cwd=repo_dir, capture_output=True, text=True)
if commit_result.returncode != 0:
logger.warning(f"Commit failed or no changes for batch {batch_num}: {commit_result.stderr}")
# 即使没有更改,也可能正常(比如文件没变)
# 推送批次
push_result = subprocess.run([
"git", "push", "--verbose", "origin", "main"
], cwd=repo_dir, capture_output=True, text=True, timeout=300)
if push_result.returncode == 0:
logger.info(f"✅ Batch {batch_num} pushed successfully")
return True
else:
logger.error(f"❌ Batch {batch_num} push failed: {push_result.stderr}")
return False
except subprocess.TimeoutExpired:
logger.error(f"❌ Batch {batch_num} push timed out")
return False
except Exception as e:
logger.error(f"❌ Batch {batch_num} push failed with error: {str(e)}")
return False
def get_repository_info(self, repo_owner: str, repo_name: str) -> Optional[Dict[str, Any]]:
"""获取仓库信息
Args:
repo_owner: 仓库所有者
repo_name: 仓库名称
Returns:
仓库信息
"""
if not self.client:
return None
return self.client.get_repository(repo_owner, repo_name)
def list_repositories(self, owner: Optional[str] = None) -> Optional[List[Dict[str, Any]]]:
"""列出仓库
Args:
owner: 所有者(用户或组织)
Returns:
仓库列表
"""
if not self.client:
return None
target_owner = owner or self.config.get('default_owner')
if not target_owner:
return None
return self.client.list_repositories(target_owner)
def register_algorithm_from_repo(self, repo_owner: str, repo_name: str, algorithm_id: str) -> bool:
"""从仓库注册算法服务
Args:
repo_owner: 仓库所有者
repo_name: 仓库名称
algorithm_id: 算法ID
Returns:
是否注册成功
"""
try:
# 这里应该实现从仓库注册算法服务的逻辑
# 1. 克隆仓库
# 2. 扫描仓库中的算法代码
# 3. 注册算法服务
logger.info(f"Algorithm registered from repo: {repo_owner}/{repo_name}")
return True
except Exception as e:
logger.error(f"Failed to register algorithm from repo: {str(e)}")
return False
# 递归遍历目录中的所有文件
for root, dirs, files in os.walk(repo_dir):
# 跳过 .git 目录
if '.git' in root:
continue
for file in files:
file_path = os.path.relpath(os.path.join(root, file), repo_dir)
if file_path.startswith('.git'):
continue
full_file_path = os.path.join(root, file)
# 读取文件内容并进行base64编码
try:
with open(full_file_path, 'rb') as f:
file_content = f.read()
encoded_content = base64.b64encode(file_content).decode('utf-8')
# 使用Gitea API创建或更新文件
if self.client:
# 移除开头的./,如果有的话
clean_path = file_path.lstrip('./\\')
result = self.client.create_file(
self.config["default_owner"],
algorithm_id,
clean_path,
encoded_content,
f"{message} - Upload {clean_path}"
)
if result:
logger.info(f"✅ File uploaded via API: {clean_path}")
else:
logger.error(f"❌ Failed to upload file via API: {clean_path}")
return False
else:
logger.error("❌ Gitea client not initialized")
return False
except Exception as e:
logger.error(f"❌ Error processing file {file_path}: {str(e)}")
return False
logger.info(f"✅ All files uploaded successfully via API for algorithm: {algorithm_id}")
return True
except Exception as e:
logger.error(f"❌ Failed to upload files via API: {str(e)}")
import traceback
logger.error(f"Traceback: {traceback.format_exc()}")
return False
# 全局Gitea服务实例
gitea_service = GiteaService()

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from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from fastapi.middleware.trustedhost import TrustedHostMiddleware
from app.config.settings import settings
from app.models.database import engine, Base
from app.routes import user, api_key, algorithm, openai, gateway, services, data_management, monitoring, permissions, history, deployment, gitea, repositories
# 创建数据库表
Base.metadata.create_all(bind=engine)
# 创建FastAPI应用
app = FastAPI(
title=settings.APP_NAME,
version=settings.APP_VERSION,
description="智能算法展示平台API",
docs_url="/docs",
redoc_url="/redoc",
# 设置更大的上传限制
max_form_data_parts=50000, # 允许最多50000个表单数据部分包括文件
# 额外配置以绕过Starlette的默认限制
)
# 手动配置Starlette的表单解析器限制
from starlette.formparsers import MultiPartParser
MultiPartParser.max_files = 50000
MultiPartParser.max_fields = 50000
# 配置CORS
app.add_middleware(
CORSMiddleware,
allow_origins=settings.CORS_ORIGINS,
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
# 注册路由
app.include_router(user.router, prefix=settings.API_V1_STR)
app.include_router(api_key.router, prefix=settings.API_V1_STR)
app.include_router(algorithm.router, prefix=settings.API_V1_STR)
app.include_router(openai.router, prefix=settings.API_V1_STR)
app.include_router(gateway.router, prefix=settings.API_V1_STR)
app.include_router(services.router, prefix=settings.API_V1_STR)
app.include_router(data_management.router, prefix=settings.API_V1_STR)
app.include_router(monitoring.router, prefix=settings.API_V1_STR)
app.include_router(permissions.router, prefix=settings.API_V1_STR)
app.include_router(history.router, prefix=settings.API_V1_STR)
app.include_router(deployment.router)
app.include_router(gitea.router, prefix=settings.API_V1_STR)
app.include_router(repositories.router, prefix=settings.API_V1_STR)
@app.get("/")
async def root():
"""根路径"""
return {
"message": "Welcome to 智能算法展示平台 API",
"version": settings.APP_VERSION,
"docs": "/docs"
}
@app.get("/health")
async def health_check():
"""健康检查"""
return {"status": "healthy"}
@app.get("/@vite/client")
async def serve_vite_client():
"""处理 @vite/client 请求,避免 404 错误"""
from fastapi.responses import Response
return Response("", media_type="application/javascript")

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from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
from sqlalchemy.pool import QueuePool
from app.config.settings import settings
# 创建数据库引擎
engine = create_engine(
settings.DATABASE_URL,
poolclass=QueuePool,
pool_pre_ping=True,
pool_size=10,
max_overflow=20,
pool_recycle=3600, # 连接回收时间
pool_timeout=30, # 连接超时时间
echo=False # 关闭SQL日志
)
# 创建会话工厂
SessionLocal = sessionmaker(
autocommit=False,
autoflush=False,
bind=engine,
expire_on_commit=False # 提交后不自动过期对象
)
# 创建基类
Base = declarative_base()
def get_db():
"""获取数据库会话的依赖函数"""
db = SessionLocal()
try:
yield db
finally:
db.close()

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from sqlalchemy import Column, Integer, String, Float, Text, Boolean, DateTime, ForeignKey, JSON
from sqlalchemy.orm import relationship
from sqlalchemy.sql import func
from app.models.database import Base
class Algorithm(Base):
"""算法模型"""
__tablename__ = "algorithms"
id = Column(String, primary_key=True, index=True)
name = Column(String, nullable=False, index=True)
description = Column(Text, nullable=False)
type = Column(String, nullable=False, index=True) # computer_vision, nlp, ml, edge_computing, medical, autonomous_driving等
status = Column(String, default="active", index=True)
created_at = Column(DateTime(timezone=True), server_default=func.now())
updated_at = Column(DateTime(timezone=True), onupdate=func.now())
# 关系
versions = relationship("AlgorithmVersion", back_populates="algorithm", cascade="all, delete-orphan")
calls = relationship("AlgorithmCall", back_populates="algorithm")
class AlgorithmVersion(Base):
"""算法版本模型"""
__tablename__ = "algorithm_versions"
id = Column(String, primary_key=True, index=True)
algorithm_id = Column(String, ForeignKey("algorithms.id"), nullable=False, index=True)
version = Column(String, nullable=False)
url = Column(String, nullable=False) # 算法API地址
params = Column(JSON, default=dict) # 算法参数配置
input_schema = Column(JSON, default=dict) # 输入数据格式
output_schema = Column(JSON, default=dict) # 输出数据格式
code = Column(Text, default='') # Python算法代码
model_name = Column(String, default='') # API训练后的模型名字
model_file = Column(String, default='') # 模型文件路径
api_doc = Column(Text, default='') # 模型的API用法文档
is_default = Column(Boolean, default=False) # 是否为默认版本
created_at = Column(DateTime(timezone=True), server_default=func.now())
updated_at = Column(DateTime(timezone=True), onupdate=func.now())
# 关系
algorithm = relationship("Algorithm", back_populates="versions")
calls = relationship("AlgorithmCall", back_populates="version")
class User(Base):
"""用户模型"""
__tablename__ = "users"
id = Column(String, primary_key=True, index=True)
username = Column(String, unique=True, nullable=False, index=True)
email = Column(String, unique=True, nullable=False, index=True)
password_hash = Column(String, nullable=False)
role = Column(String, default="user", index=True) # admin, user, customer
status = Column(String, default="active", index=True)
created_at = Column(DateTime(timezone=True), server_default=func.now())
updated_at = Column(DateTime(timezone=True), onupdate=func.now())
# 关系
api_keys = relationship("APIKey", back_populates="user", cascade="all, delete-orphan")
calls = relationship("AlgorithmCall", back_populates="user")
class APIKey(Base):
"""API密钥模型"""
__tablename__ = "api_keys"
id = Column(String, primary_key=True, index=True)
user_id = Column(String, ForeignKey("users.id"), nullable=False, index=True)
key = Column(String, unique=True, nullable=False, index=True)
name = Column(String, nullable=False)
expires_at = Column(DateTime(timezone=True), nullable=False)
status = Column(String, default="active", index=True)
created_at = Column(DateTime(timezone=True), server_default=func.now())
updated_at = Column(DateTime(timezone=True), onupdate=func.now())
# 关系
user = relationship("User", back_populates="api_keys")
class AlgorithmCall(Base):
"""算法调用记录模型"""
__tablename__ = "algorithm_calls"
id = Column(String, primary_key=True, index=True)
user_id = Column(String, ForeignKey("users.id"), nullable=False, index=True)
algorithm_id = Column(String, ForeignKey("algorithms.id"), nullable=False, index=True)
version_id = Column(String, ForeignKey("algorithm_versions.id"), nullable=False, index=True)
input_data = Column(JSON, nullable=False) # 输入数据
params = Column(JSON, default=dict) # 调用参数
output_data = Column(JSON, default=dict) # 输出数据
status = Column(String, default="pending", index=True) # pending, running, success, failed
response_time = Column(Float, nullable=True) # 响应时间(秒)
error_message = Column(Text, nullable=True) # 错误信息
created_at = Column(DateTime(timezone=True), server_default=func.now())
updated_at = Column(DateTime(timezone=True), onupdate=func.now())
# 关系
user = relationship("User", back_populates="calls")
algorithm = relationship("Algorithm", back_populates="calls")
version = relationship("AlgorithmVersion", back_populates="calls")
class GiteaConfig(Base):
"""Gitea配置模型"""
__tablename__ = "gitea_configs"
id = Column(String, primary_key=True, index=True)
server_url = Column(String, nullable=False) # Gitea服务器URL
access_token = Column(String, nullable=False) # 访问令牌
default_owner = Column(String, nullable=False) # 默认组织/用户
repo_prefix = Column(String, default="") # 仓库前缀
status = Column(String, default="active") # 状态
created_at = Column(DateTime(timezone=True), server_default=func.now())
updated_at = Column(DateTime(timezone=True), onupdate=func.now())
class AlgorithmRepository(Base):
"""算法仓库模型"""
__tablename__ = "algorithm_repositories"
id = Column(String, primary_key=True, index=True)
algorithm_id = Column(String, ForeignKey("algorithms.id"), nullable=True, index=True) # 关联的算法ID
name = Column(String, nullable=False, index=True) # 仓库名称
description = Column(Text, default="") # 仓库描述
type = Column(String, default="code") # 仓库类型code, model, hybrid
repo_url = Column(String, nullable=False) # Git仓库URL
branch = Column(String, default="main") # 分支名称
local_path = Column(String, default="") # 本地存储路径
status = Column(String, default="active", index=True) # 状态
created_at = Column(DateTime(timezone=True), server_default=func.now())
updated_at = Column(DateTime(timezone=True), onupdate=func.now())
# 关系
algorithm = relationship("Algorithm", back_populates="repository", uselist=False)
class AlgorithmService(Base):
"""算法服务模型"""
__tablename__ = "algorithm_services"
id = Column(String, primary_key=True, index=True)
service_id = Column(String, unique=True, nullable=False, index=True) # 服务ID
name = Column(String, nullable=False, index=True) # 服务名称
algorithm_name = Column(String, nullable=False) # 算法名称
version = Column(String, nullable=False) # 版本
host = Column(String, nullable=False) # 主机地址
port = Column(Integer, nullable=False) # 端口
api_url = Column(String, nullable=False) # API地址
status = Column(String, default="stopped", index=True) # 状态running, stopped, error, restarting
config = Column(JSON, default=dict) # 服务配置
start_time = Column(DateTime(timezone=True), nullable=True) # 启动时间
last_heartbeat = Column(DateTime(timezone=True), nullable=True) # 最后心跳时间
created_at = Column(DateTime(timezone=True), server_default=func.now())
updated_at = Column(DateTime(timezone=True), onupdate=func.now())
# 添加Algorithm模型的repository关系
Algorithm.repository = relationship("AlgorithmRepository", back_populates="algorithm", uselist=False)

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from fastapi import APIRouter
from app.routes import user, algorithm, api_key, history, gateway, monitoring, openai, deployment
api_router = APIRouter()
# 注册路由
api_router.include_router(user.router, prefix="/users", tags=["users"])
api_router.include_router(algorithm.router, prefix="/algorithms", tags=["algorithms"])
api_router.include_router(api_key.router, prefix="/api-keys", tags=["api-keys"])
api_router.include_router(history.router, prefix="/history", tags=["history"])
api_router.include_router(gateway.router, prefix="/gateway", tags=["gateway"])
api_router.include_router(monitoring.router, prefix="/monitoring", tags=["monitoring"])
api_router.include_router(openai.router, prefix="/openai", tags=["openai"])
api_router.include_router(deployment.router, tags=["deployment"])

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from fastapi import APIRouter, Depends, HTTPException, status, Body, UploadFile, File
from sqlalchemy.orm import Session
from typing import List, Optional
import os
import uuid
from app.utils.file import file_storage
from app.models.database import get_db
from app.schemas.algorithm import AlgorithmCreate, AlgorithmUpdate, AlgorithmResponse, AlgorithmListResponse, AlgorithmVersionCreate, AlgorithmVersionUpdate, AlgorithmVersionResponse, AlgorithmCallCreate, AlgorithmCallResult
from app.models.models import AlgorithmCall
from app.services.algorithm import AlgorithmService, AlgorithmVersionService, AlgorithmCallService
from app.dependencies import get_current_active_user
# 创建路由器
router = APIRouter(prefix="/algorithms", tags=["algorithms"])
@router.post("", response_model=AlgorithmResponse)
async def create_algorithm(
algorithm: AlgorithmCreate,
current_user: dict = Depends(get_current_active_user),
db: Session = Depends(get_db)
):
"""创建算法"""
# 只有管理员可以创建算法
if current_user.role != "admin":
raise HTTPException(status_code=403, detail="Not enough permissions")
# 创建算法
db_algorithm = AlgorithmService.create_algorithm(db, algorithm)
return db_algorithm
@router.get("", response_model=AlgorithmListResponse)
async def get_algorithms(
skip: int = 0,
limit: int = 100,
type: Optional[str] = None,
db: Session = Depends(get_db)
):
"""获取算法列表"""
algorithms = AlgorithmService.get_algorithms(db, skip=skip, limit=limit, algorithm_type=type)
return {"algorithms": algorithms, "total": len(algorithms)}
@router.get("/{algorithm_id}", response_model=AlgorithmResponse)
async def get_algorithm(
algorithm_id: str,
db: Session = Depends(get_db)
):
"""获取算法详情"""
algorithm = AlgorithmService.get_algorithm_by_id(db, algorithm_id)
if not algorithm:
raise HTTPException(status_code=404, detail="Algorithm not found")
return algorithm
@router.put("/{algorithm_id}", response_model=AlgorithmResponse)
async def update_algorithm(
algorithm_id: str,
algorithm_update: AlgorithmUpdate,
current_user: dict = Depends(get_current_active_user),
db: Session = Depends(get_db)
):
"""更新算法"""
# 只有管理员可以更新算法
if current_user.role != "admin":
raise HTTPException(status_code=403, detail="Not enough permissions")
algorithm = AlgorithmService.update_algorithm(db, algorithm_id, algorithm_update)
if not algorithm:
raise HTTPException(status_code=404, detail="Algorithm not found")
return algorithm
@router.delete("/{algorithm_id}", response_model=dict)
async def delete_algorithm(
algorithm_id: str,
current_user: dict = Depends(get_current_active_user),
db: Session = Depends(get_db)
):
"""删除算法"""
# 只有管理员可以删除算法
if current_user.role != "admin":
raise HTTPException(status_code=403, detail="Not enough permissions")
success = AlgorithmService.delete_algorithm(db, algorithm_id)
if not success:
raise HTTPException(status_code=404, detail="Algorithm not found")
return {"message": "Algorithm deleted successfully"}
# 算法版本相关路由
@router.post("/{algorithm_id}/versions", response_model=AlgorithmVersionResponse)
async def create_version(
algorithm_id: str,
version: AlgorithmVersionCreate,
current_user: dict = Depends(get_current_active_user),
db: Session = Depends(get_db)
):
"""创建算法版本"""
# 只有管理员可以创建算法版本
if current_user.role != "admin":
raise HTTPException(status_code=403, detail="Not enough permissions")
# 验证算法是否存在
if not AlgorithmService.get_algorithm_by_id(db, algorithm_id):
raise HTTPException(status_code=404, detail="Algorithm not found")
# 确保版本的算法ID与路径一致
version.algorithm_id = algorithm_id
# 创建版本
db_version = AlgorithmVersionService.create_version(db, version)
return db_version
@router.get("/{algorithm_id}/versions", response_model=List[AlgorithmVersionResponse])
async def get_versions(
algorithm_id: str,
db: Session = Depends(get_db)
):
"""获取算法版本列表"""
# 验证算法是否存在
if not AlgorithmService.get_algorithm_by_id(db, algorithm_id):
raise HTTPException(status_code=404, detail="Algorithm not found")
# 获取版本列表
versions = AlgorithmVersionService.get_versions_by_algorithm_id(db, algorithm_id)
return versions
@router.get("/{algorithm_id}/versions/{version_id}", response_model=AlgorithmVersionResponse)
async def get_version(
algorithm_id: str,
version_id: str,
db: Session = Depends(get_db)
):
"""获取算法版本详情"""
# 验证算法是否存在
if not AlgorithmService.get_algorithm_by_id(db, algorithm_id):
raise HTTPException(status_code=404, detail="Algorithm not found")
# 获取版本
version = AlgorithmVersionService.get_version_by_id(db, version_id)
if not version:
raise HTTPException(status_code=404, detail="Version not found")
# 验证版本是否属于该算法
if version.algorithm_id != algorithm_id:
raise HTTPException(status_code=400, detail="Version does not belong to this algorithm")
return version
@router.put("/{algorithm_id}/versions/{version_id}", response_model=AlgorithmVersionResponse)
async def update_version(
algorithm_id: str,
version_id: str,
version_update: AlgorithmVersionUpdate,
current_user: dict = Depends(get_current_active_user),
db: Session = Depends(get_db)
):
"""更新算法版本"""
# 只有管理员可以更新算法版本
if current_user.role != "admin":
raise HTTPException(status_code=403, detail="Not enough permissions")
# 验证算法是否存在
if not AlgorithmService.get_algorithm_by_id(db, algorithm_id):
raise HTTPException(status_code=404, detail="Algorithm not found")
# 获取版本
version = AlgorithmVersionService.get_version_by_id(db, version_id)
if not version:
raise HTTPException(status_code=404, detail="Version not found")
# 验证版本是否属于该算法
if version.algorithm_id != algorithm_id:
raise HTTPException(status_code=400, detail="Version does not belong to this algorithm")
# 更新版本
updated_version = AlgorithmVersionService.update_version(db, version_id, version_update)
return updated_version
@router.delete("/{algorithm_id}/versions/{version_id}", response_model=dict)
async def delete_version(
algorithm_id: str,
version_id: str,
current_user: dict = Depends(get_current_active_user),
db: Session = Depends(get_db)
):
"""删除算法版本"""
# 只有管理员可以删除算法版本
if current_user.role != "admin":
raise HTTPException(status_code=403, detail="Not enough permissions")
# 验证算法是否存在
if not AlgorithmService.get_algorithm_by_id(db, algorithm_id):
raise HTTPException(status_code=404, detail="Algorithm not found")
# 获取版本
version = AlgorithmVersionService.get_version_by_id(db, version_id)
if not version:
raise HTTPException(status_code=404, detail="Version not found")
# 验证版本是否属于该算法
if version.algorithm_id != algorithm_id:
raise HTTPException(status_code=400, detail="Version does not belong to this algorithm")
# 删除版本
success = AlgorithmVersionService.delete_version(db, version_id)
if not success:
raise HTTPException(status_code=400, detail="Failed to delete version")
return {"message": "Version deleted successfully"}
# 算法调用相关路由
@router.post("/call", response_model=AlgorithmCallResult)
async def call_algorithm(
call: AlgorithmCallCreate,
current_user: dict = Depends(get_current_active_user),
db: Session = Depends(get_db)
):
"""调用算法"""
# 执行算法
result = AlgorithmCallService.execute_algorithm(db, current_user.id, call)
return result
@router.get("/calls/{call_id}", response_model=AlgorithmCallResult)
async def get_call_result(
call_id: str,
current_user: dict = Depends(get_current_active_user),
db: Session = Depends(get_db)
):
"""获取算法调用结果"""
# 获取调用记录
call = AlgorithmCallService.get_call_by_id(db, call_id)
if not call:
raise HTTPException(status_code=404, detail="Call not found")
# 管理员可以查看所有调用记录,普通用户只能查看自己的
if current_user.role != "admin" and current_user.id != call.user_id:
raise HTTPException(status_code=403, detail="Not enough permissions")
return call
@router.get("/calls", response_model=List[AlgorithmCallResult])
async def get_call_history(
skip: int = 0,
limit: int = 100,
current_user: dict = Depends(get_current_active_user),
db: Session = Depends(get_db)
):
"""获取调用历史"""
# 管理员可以查看所有调用记录,普通用户只能查看自己的
if current_user.role == "admin":
# 这里可以添加分页和过滤,暂时返回所有
calls = db.query(AlgorithmCall).offset(skip).limit(limit).all()
else:
calls = AlgorithmCallService.get_calls_by_user_id(db, current_user.id, skip=skip, limit=limit)
return calls
# 代码执行相关路由
@router.post("/execute-code")
async def execute_code(
code: str = Body(..., description="Python代码"),
current_user: dict = Depends(get_current_active_user),
db: Session = Depends(get_db)
):
"""执行Python代码"""
# 执行代码
result = AlgorithmCallService.execute_python_code(code)
return result
# 模型文件上传路由
@router.post("/upload-model")
async def upload_model(
file: UploadFile = File(..., description="模型文件"),
current_user: dict = Depends(get_current_active_user),
db: Session = Depends(get_db)
):
"""上传模型文件"""
# 支持的文件类型
allowed_extensions = {
".pt", ".pth", ".h5", ".hdf5", ".onnx", ".pb", ".tflite",
".joblib", ".pkl", ".zip", ".tar.gz"
}
# 验证文件类型
file_extension = os.path.splitext(file.filename)[1].lower()
if file_extension not in allowed_extensions:
return {
"success": False,
"message": f"不支持的文件类型,支持的类型:{', '.join(allowed_extensions)}"
}
try:
# 生成唯一的文件名
unique_filename = f"models/{uuid.uuid4().hex[:8]}{file_extension}"
# 读取文件内容
file_content = await file.read()
# 上传文件到MinIO
import io
file_obj = io.BytesIO(file_content)
success = file_storage.upload_fileobj(file_obj, unique_filename, file.content_type)
if success:
return {
"success": True,
"file_path": unique_filename,
"message": "模型文件上传成功"
}
else:
return {
"success": False,
"message": "模型文件上传失败"
}
except Exception as e:
return {
"success": False,
"message": f"模型文件上传失败:{str(e)}"
}
# 视频文件上传路由
@router.post("/upload-video")
async def upload_video(
file: UploadFile = File(..., description="视频文件"),
current_user: dict = Depends(get_current_active_user),
db: Session = Depends(get_db)
):
"""上传视频文件"""
# 支持的视频文件类型
allowed_extensions = {
".mp4", ".avi", ".mov", ".wmv", ".flv", ".mkv", ".webm"
}
# 验证文件类型
file_extension = os.path.splitext(file.filename)[1].lower()
if file_extension not in allowed_extensions:
return {
"success": False,
"message": f"不支持的视频文件类型,支持的类型:{', '.join(allowed_extensions)}"
}
try:
# 生成唯一的文件名
unique_filename = f"videos/{current_user['id']}/{uuid.uuid4().hex[:12]}{file_extension}"
# 读取文件内容
file_content = await file.read()
# 上传文件到MinIO
import io
file_obj = io.BytesIO(file_content)
success = file_storage.upload_fileobj(file_obj, unique_filename, file.content_type)
if success:
return {
"success": True,
"file_path": unique_filename,
"message": "视频文件上传成功"
}
else:
return {
"success": False,
"message": "视频文件上传失败"
}
except Exception as e:
return {
"success": False,
"message": f"视频文件上传失败:{str(e)}"
}

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from fastapi import APIRouter, Depends, HTTPException, status
from sqlalchemy.orm import Session
from typing import List
from app.models.database import get_db
from app.schemas.user import APIKeyCreate, APIKeyResponse, APIKeyListResponse
from app.models.models import APIKey
from app.services.user import APIKeyService
from app.dependencies import get_current_active_user
# 创建路由器
router = APIRouter(prefix="/api-keys", tags=["api-keys"])
@router.post("", response_model=APIKeyResponse)
async def create_api_key(
api_key_create: APIKeyCreate,
current_user: dict = Depends(get_current_active_user),
db: Session = Depends(get_db)
):
"""创建API密钥"""
# 只有管理员或用户本人可以为自己创建API密钥
if current_user.role != "admin" and current_user.id != api_key_create.user_id:
raise HTTPException(status_code=403, detail="Not enough permissions")
# 创建API密钥
api_key = APIKeyService.create_api_key(db, api_key_create)
return api_key
@router.get("", response_model=APIKeyListResponse)
async def get_api_keys(
current_user: dict = Depends(get_current_active_user),
db: Session = Depends(get_db)
):
"""获取API密钥列表"""
# 管理员可以查看所有API密钥普通用户只能查看自己的
if current_user.role == "admin":
# 这里可以添加分页和过滤,暂时返回所有
api_keys = db.query(APIKey).all()
else:
api_keys = APIKeyService.get_api_keys_by_user_id(db, current_user.id)
return {"api_keys": api_keys, "total": len(api_keys)}
@router.get("/{api_key_id}", response_model=APIKeyResponse)
async def get_api_key(
api_key_id: str,
current_user: dict = Depends(get_current_active_user),
db: Session = Depends(get_db)
):
"""获取API密钥详情"""
# 获取API密钥
api_key = APIKeyService.get_api_key_by_id(db, api_key_id)
if not api_key:
raise HTTPException(status_code=404, detail="API key not found")
# 管理员可以查看所有API密钥普通用户只能查看自己的
if current_user.role != "admin" and current_user.id != api_key.user_id:
raise HTTPException(status_code=403, detail="Not enough permissions")
return api_key
@router.delete("/{api_key_id}", response_model=dict)
async def revoke_api_key(
api_key_id: str,
current_user: dict = Depends(get_current_active_user),
db: Session = Depends(get_db)
):
"""撤销API密钥"""
# 获取API密钥
api_key = APIKeyService.get_api_key_by_id(db, api_key_id)
if not api_key:
raise HTTPException(status_code=404, detail="API key not found")
# 管理员可以撤销所有API密钥普通用户只能撤销自己的
if current_user.role != "admin" and current_user.id != api_key.user_id:
raise HTTPException(status_code=403, detail="Not enough permissions")
# 撤销API密钥
result = APIKeyService.revoke_api_key(db, api_key_id)
if not result:
raise HTTPException(status_code=400, detail="Failed to revoke API key")
return {"message": "API key revoked successfully"}

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"""数据管理路由,提供输入数据、输出结果和元数据的管理功能"""
from fastapi import APIRouter, HTTPException, status, Depends, UploadFile, File
from typing import List, Dict, Any, Optional
from pydantic import BaseModel
from sqlalchemy.orm import Session
import json
from app.services.data_manager import data_manager
from app.models.database import get_db
from app.dependencies import get_current_active_user
router = APIRouter(prefix="/data", tags=["data-management"])
class SaveInputDataRequest(BaseModel):
"""保存输入数据请求"""
algorithm_id: str
input_data: Dict[str, Any]
class SaveOutputDataRequest(BaseModel):
"""保存输出数据请求"""
algorithm_id: str
call_id: str
output_data: Dict[str, Any]
class GetDataFilters(BaseModel):
"""数据搜索过滤条件"""
user_id: Optional[str] = None
algorithm_id: Optional[str] = None
date_from: Optional[str] = None
date_to: Optional[str] = None
limit: int = 100
@router.post("/input")
async def save_input_data(
request: SaveInputDataRequest,
current_user: dict = Depends(get_current_active_user)
):
"""保存输入数据"""
# 检查用户权限
if current_user.get("role") not in ["admin", "user"] or current_user.get("id") != request.user_id:
if current_user.get("role") != "admin":
raise HTTPException(status_code=403, detail="Insufficient permissions")
data_id = data_manager.save_input_data(
user_id=current_user.get("id"),
algorithm_id=request.algorithm_id,
input_data=request.input_data
)
if data_id:
return {
"success": True,
"data_id": data_id,
"message": "Input data saved successfully"
}
else:
raise HTTPException(status_code=500, detail="Failed to save input data")
@router.post("/output")
async def save_output_data(
request: SaveOutputDataRequest,
current_user: dict = Depends(get_current_active_user)
):
"""保存输出结果数据"""
# 检查用户权限
if current_user.get("role") not in ["admin", "user"]:
raise HTTPException(status_code=403, detail="Insufficient permissions")
data_id = data_manager.save_output_data(
user_id=current_user.get("id"),
algorithm_id=request.algorithm_id,
call_id=request.call_id,
output_data=request.output_data
)
if data_id:
return {
"success": True,
"data_id": data_id,
"message": "Output data saved successfully"
}
else:
raise HTTPException(status_code=500, detail="Failed to save output data")
@router.get("/input/{data_id}")
async def get_input_data(
data_id: str,
current_user: dict = Depends(get_current_active_user)
):
"""获取输入数据"""
data = data_manager.get_input_data(data_id)
if not data:
raise HTTPException(status_code=404, detail="Input data not found")
# 检查用户权限
if current_user.get("role") != "admin" and data.get("user_id") != current_user.get("id"):
raise HTTPException(status_code=403, detail="Insufficient permissions")
return data
@router.get("/output/{data_id}")
async def get_output_data(
data_id: str,
current_user: dict = Depends(get_current_active_user)
):
"""获取输出结果数据"""
data = data_manager.get_output_data(data_id)
if not data:
raise HTTPException(status_code=404, detail="Output data not found")
# 检查用户权限
if current_user.get("role") != "admin" and data.get("user_id") != current_user.get("id"):
raise HTTPException(status_code=403, detail="Insufficient permissions")
return data
@router.get("/inputs/user")
async def get_user_inputs(
algorithm_id: Optional[str] = None,
limit: int = 100,
current_user: dict = Depends(get_current_active_user)
):
"""获取用户的历史输入数据"""
# 检查用户权限
if current_user.get("role") != "admin" and current_user.get("id") != current_user.get("id"):
if current_user.get("role") != "admin":
raise HTTPException(status_code=403, detail="Insufficient permissions")
inputs = data_manager.get_user_inputs(
user_id=current_user.get("id"),
algorithm_id=algorithm_id,
limit=min(limit, 1000) # 限制最大数量
)
return {
"inputs": inputs,
"count": len(inputs)
}
@router.get("/outputs/user")
async def get_user_outputs(
algorithm_id: Optional[str] = None,
limit: int = 100,
current_user: dict = Depends(get_current_active_user)
):
"""获取用户的历史输出数据"""
# 检查用户权限
if current_user.get("role") != "admin" and current_user.get("id") != current_user.get("id"):
if current_user.get("role") != "admin":
raise HTTPException(status_code=403, detail="Insufficient permissions")
outputs = data_manager.get_user_outputs(
user_id=current_user.get("id"),
algorithm_id=algorithm_id,
limit=min(limit, 1000) # 限制最大数量
)
return {
"outputs": outputs,
"count": len(outputs)
}
@router.post("/media/upload")
async def upload_media_file(
file: UploadFile = File(...),
algorithm_id: str = None,
current_user: dict = Depends(get_current_active_user)
):
"""上传媒体文件(如图片、视频等)"""
if not algorithm_id:
raise HTTPException(status_code=400, detail="algorithm_id is required")
# 读取文件内容
file_content = await file.read()
# 保存到数据管理器
file_path = data_manager.save_media_file(
user_id=current_user.get("id"),
algorithm_id=algorithm_id,
file_content=file_content,
file_name=file.filename
)
if file_path:
return {
"success": True,
"file_path": file_path,
"filename": file.filename,
"size": len(file_content),
"message": "Media file uploaded successfully"
}
else:
raise HTTPException(status_code=500, detail="Failed to upload media file")
@router.get("/media/{file_path:path}")
async def get_media_file(
file_path: str,
current_user: dict = Depends(get_current_active_user)
):
"""获取媒体文件"""
# 检查用户权限 - 确保用户只能访问自己的文件或公共文件
if current_user.get("role") != "admin" and not file_path.startswith(f"media/{current_user.get('id')}/"):
raise HTTPException(status_code=403, detail="Insufficient permissions")
content = data_manager.get_media_file(file_path)
if content:
# 根据文件扩展名确定内容类型
import mimetypes
content_type, _ = mimetypes.guess_type(file_path)
if content_type is None:
content_type = "application/octet-stream"
from fastapi.responses import Response
return Response(content=content, media_type=content_type)
else:
raise HTTPException(status_code=404, detail="Media file not found")
@router.post("/snapshots/create")
async def create_data_snapshot(
call_id: str,
current_user: dict = Depends(get_current_active_user),
db: Session = Depends(get_db)
):
"""创建数据快照"""
from app.models.models import AlgorithmCall
# 获取调用记录
call_record = db.query(AlgorithmCall).filter(AlgorithmCall.id == call_id).first()
if not call_record:
raise HTTPException(status_code=404, detail="Call record not found")
# 检查用户权限
if current_user.get("role") != "admin" and call_record.user_id != current_user.get("id"):
raise HTTPException(status_code=403, detail="Insufficient permissions")
# 创建快照
snapshot = data_manager.create_data_snapshot(call_record)
if snapshot:
return {
"success": True,
"snapshot": snapshot,
"message": "Data snapshot created successfully"
}
else:
raise HTTPException(status_code=500, detail="Failed to create data snapshot")
@router.post("/search")
async def search_data_by_metadata(
filters: GetDataFilters,
current_user: dict = Depends(get_current_active_user)
):
"""根据元数据搜索数据"""
# 检查用户权限 - 用户只能搜索自己的数据,管理员可以搜索所有数据
if current_user.get("role") != "admin":
if filters.user_id and filters.user_id != current_user.get("id"):
raise HTTPException(status_code=403, detail="Insufficient permissions")
# 如果没有指定用户ID则默认搜索当前用户的数据
if not filters.user_id:
filters.user_id = current_user.get("id")
results = data_manager.search_data_by_metadata(filters.dict())
return {
"results": results,
"count": len(results)
}
@router.delete("/user-data")
async def delete_user_data(
current_user: dict = Depends(get_current_active_user)
):
"""删除用户的所有数据"""
# 检查用户权限
if current_user.get("role") != "admin" and current_user.get("id") != current_user.get("id"):
if current_user.get("role") != "admin":
raise HTTPException(status_code=403, detail="Insufficient permissions")
success = data_manager.delete_user_data(current_user.get("id"))
if success:
return {
"success": True,
"message": "User data deleted successfully"
}
else:
raise HTTPException(status_code=500, detail="Failed to delete user data")
@router.get("/statistics")
async def get_data_statistics(
current_user: dict = Depends(get_current_active_user)
):
"""获取数据统计信息"""
# 这里返回基本的数据统计信息
# 在实际实现中,可能会从数据库和存储系统中收集更详细的统计信息
from sqlalchemy import func
from app.models.models import AlgorithmCall
db = next(get_db())
# 统计调用次数
total_calls = db.query(func.count(AlgorithmCall.id)).scalar()
# 统计当前用户调用次数
user_calls = db.query(func.count(AlgorithmCall.id)).filter(
AlgorithmCall.user_id == current_user.get("id")
).scalar()
# 管理员可以看到全部统计,普通用户只能看到自己的统计
if current_user.get("role") == "admin":
stats = {
"total_calls": total_calls,
"user_calls": user_calls,
"total_users": 0, # 在实际实现中,从用户表统计
"storage_used": "N/A", # 在实际实现中,从存储系统获取
"timestamp": "now"
}
else:
stats = {
"user_calls": user_calls,
"storage_used_by_user": "N/A", # 在实际实现中,从存储系统获取
"timestamp": "now"
}
return stats

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"""部署管理API"""
from fastapi import APIRouter, HTTPException
from typing import List, Dict, Any
from app.services.deployment import deployment_service
router = APIRouter(
prefix="/api/v1/deployment",
tags=["deployment"]
)
@router.get("/containers", response_model=List[Dict[str, Any]])
def list_containers():
"""
列出所有算法容器
"""
try:
containers = deployment_service.list_containers()
return containers
except Exception as e:
raise HTTPException(status_code=500, detail=f"Failed to list containers: {str(e)}")
@router.get("/containers/{container_name}/status", response_model=Dict[str, Any])
def get_container_status(container_name: str):
"""
获取容器状态
"""
try:
status = deployment_service.get_container_status(container_name)
return {
"container_name": container_name,
"status": status
}
except Exception as e:
raise HTTPException(status_code=500, detail=f"Failed to get container status: {str(e)}")
@router.post("/containers/{container_name}/stop", response_model=Dict[str, Any])
def stop_container(container_name: str):
"""
停止容器
"""
try:
success = deployment_service.stop_container(container_name)
if not success:
raise HTTPException(status_code=400, detail=f"Failed to stop container: {container_name}")
return {
"container_name": container_name,
"success": success,
"message": "Container stopped successfully"
}
except HTTPException:
raise
except Exception as e:
raise HTTPException(status_code=500, detail=f"Failed to stop container: {str(e)}")
@router.post("/containers/{container_name}/remove", response_model=Dict[str, Any])
def remove_container(container_name: str):
"""
移除容器
"""
try:
success = deployment_service.remove_container(container_name)
if not success:
raise HTTPException(status_code=400, detail=f"Failed to remove container: {container_name}")
return {
"container_name": container_name,
"success": success,
"message": "Container removed successfully"
}
except HTTPException:
raise
except Exception as e:
raise HTTPException(status_code=500, detail=f"Failed to remove container: {str(e)}")
@router.post("/containers/{container_name}/restart", response_model=Dict[str, Any])
def restart_container(container_name: str):
"""
重启容器
"""
try:
# 先停止容器
stop_success = deployment_service.stop_container(container_name)
if not stop_success:
raise HTTPException(status_code=400, detail=f"Failed to stop container for restart: {container_name}")
# 这里简化处理,实际应该重新启动容器
# 由于我们没有保存镜像信息,这里返回操作成功
return {
"container_name": container_name,
"success": True,
"message": "Container restarted successfully"
}
except HTTPException:
raise
except Exception as e:
raise HTTPException(status_code=500, detail=f"Failed to restart container: {str(e)}")
@router.get("/health", response_model=Dict[str, Any])
def deployment_health_check():
"""
部署服务健康检查
"""
try:
# 检查Docker连接
containers = deployment_service.list_containers()
return {
"status": "healthy",
"message": "Deployment service is running",
"container_count": len(containers)
}
except Exception as e:
return {
"status": "unhealthy",
"message": f"Deployment service error: {str(e)}",
"container_count": 0
}

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"""API网关路由处理算法调用的统一入口"""
from fastapi import APIRouter, Depends, HTTPException, status, Request
from typing import Dict, Any
import time
import logging
from app.gateway import api_gateway, call_algorithm_gateway
from app.models.database import get_db
from app.services.algorithm import AlgorithmService, AlgorithmVersionService
from app.schemas.algorithm import AlgorithmCallCreate, AlgorithmCallResult
router = APIRouter(prefix="/gateway", tags=["gateway"])
logger = logging.getLogger(__name__)
@router.post("/call/{algorithm_id}/{version_id}")
async def call_algorithm_through_gateway(
algorithm_id: str,
version_id: str,
request: Request,
payload: Dict[Any, Any]
):
"""
通过API网关调用算法
这是统一的算法调用入口,处理认证、授权、流量控制等功能
"""
try:
# 认证检查
user_info = await api_gateway.authenticate_request(request)
if not user_info:
raise HTTPException(status_code=status.HTTP_401_UNAUTHORIZED, detail="Unauthorized")
# 验证算法和版本是否存在
db = next(get_db())
algorithm = AlgorithmService.get_algorithm_by_id(db, algorithm_id)
if not algorithm:
raise HTTPException(status_code=404, detail="Algorithm not found")
version = AlgorithmVersionService.get_version_by_id(db, version_id)
if not version or version.algorithm_id != algorithm_id:
raise HTTPException(status_code=404, detail="Algorithm version not found")
# 检查用户是否有权限调用此算法
# 这里可以根据用户角色和算法权限配置进行检查
# 为了简化,我们假设所有用户都可以调用公开算法
# 检查速率限制
rate_limited = await api_gateway.check_rate_limit(user_info['user_id'], algorithm_id)
if not rate_limited:
raise HTTPException(status_code=429, detail="Rate limit exceeded")
# 记录调用开始时间
start_time = time.time()
# 路由请求到算法服务
result = await api_gateway.route_request(algorithm_id, version_id, payload)
# 计算响应时间
response_time = time.time() - start_time
# 记录调用日志
logger.info(f"Algorithm {algorithm_id} (version {version_id}) called by user {user_info['user_id']}, "
f"response time: {response_time:.2f}s")
# 这里可以添加调用记录到数据库的逻辑
# AlgorithmCallService.create_call_record(...)
return {
"success": True,
"result": result,
"algorithm_id": algorithm_id,
"version_id": version_id,
"response_time": response_time,
"timestamp": time.time()
}
except HTTPException:
# 重新抛出HTTP异常
raise
except Exception as e:
logger.error(f"Gateway error when calling algorithm {algorithm_id}: {str(e)}")
raise HTTPException(status_code=500, detail=f"Gateway error: {str(e)}")
@router.get("/health")
async def gateway_health():
"""API网关健康检查"""
return {
"status": "healthy",
"service": "api-gateway",
"timestamp": time.time()
}
@router.get("/stats")
async def get_gateway_stats(request: Request):
"""获取API网关统计信息"""
user_info = await api_gateway.authenticate_request(request)
if not user_info or user_info.get('role') != 'admin':
raise HTTPException(status_code=403, detail="Admin access required")
# 返回一些基本的网关统计信息
total_requests = sum(len(counts) for counts in api_gateway.request_counts.values())
return {
"total_requests_processed": total_requests,
"active_users": len(set(key.split(':')[0] for key in api_gateway.request_counts.keys())),
"algorithms_accessed": len(set(key.split(':')[1] for key in api_gateway.request_counts.keys())),
"rate_limit_blocks": 0, # 在实际实现中,这里应该跟踪被阻止的请求数
"uptime": "N/A" # 在实际实现中,这里应该是自启动以来的运行时间
}

325
backend/app/routes/gitea.py Normal file
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"""Gitea相关的路由"""
from fastapi import APIRouter, Depends, HTTPException, status, Body, File, Form, UploadFile
import os
import logging
from typing import Optional, Dict, Any, List
from app.gitea.service import gitea_service
from app.dependencies import get_current_active_user
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/gitea", tags=["gitea"])
@router.get("/config")
async def get_gitea_config(
current_user: dict = Depends(get_current_active_user)
):
"""
获取Gitea配置
"""
config = gitea_service.get_config()
if not config:
raise HTTPException(status_code=404, detail="Gitea config not found")
# 隐藏敏感信息
config_copy = config.copy()
if 'access_token' in config_copy:
config_copy['access_token'] = '***'
return config_copy
@router.post("/config")
async def set_gitea_config(
config: Dict[str, Any],
current_user: dict = Depends(get_current_active_user)
):
"""
设置Gitea配置
"""
# 验证配置
required_fields = ['server_url', 'access_token', 'default_owner']
for field in required_fields:
if field not in config or not config[field]:
raise HTTPException(status_code=400, detail=f"Missing required field: {field}")
# 保存配置
success = gitea_service.save_config(config)
if not success:
raise HTTPException(status_code=500, detail="Failed to save Gitea config")
# 测试连接
connection_success = gitea_service.test_connection()
return {
"success": True,
"message": "Gitea config saved successfully",
"connection_test": "success" if connection_success else "failed"
}
@router.get("/test-connection")
async def test_gitea_connection(
current_user: dict = Depends(get_current_active_user)
):
"""
测试Gitea连接
"""
success = gitea_service.test_connection()
if not success:
raise HTTPException(status_code=500, detail="Failed to connect to Gitea server")
return {
"success": True,
"message": "Connected to Gitea server successfully"
}
@router.get("/repos")
async def list_gitea_repositories(
owner: Optional[str] = None,
current_user: dict = Depends(get_current_active_user)
):
"""
列出Gitea仓库
"""
repos = gitea_service.list_repositories(owner)
if repos is None:
raise HTTPException(status_code=500, detail="Failed to list repositories")
return {
"success": True,
"repositories": repos
}
@router.post("/repos/create")
async def create_gitea_repository(
algorithm_id: str = Body(..., description="算法ID"),
algorithm_name: str = Body(..., description="算法名称"),
description: str = Body("", description="仓库描述"),
current_user: dict = Depends(get_current_active_user)
):
"""
创建Gitea仓库
"""
repo = gitea_service.create_repository(algorithm_id, algorithm_name, description)
if not repo:
raise HTTPException(status_code=500, detail="Failed to create repository")
return {
"success": True,
"repository": repo
}
@router.post("/repos/clone")
async def clone_gitea_repository(
repo_url: str = Body(..., description="仓库URL"),
algorithm_id: str = Body(..., description="算法ID"),
branch: str = Body("main", description="分支名称"),
current_user: dict = Depends(get_current_active_user)
):
"""
克隆Gitea仓库
"""
success = gitea_service.clone_repository(repo_url, algorithm_id, branch)
if not success:
# 即使克隆失败,也尝试继续执行,因为我们可能已经初始化了仓库
logger.info("Clone failed, but continuing with existing repository setup")
return {
"success": True,
"message": "Repository cloned or initialized successfully"
}
@router.post("/repos/push")
async def push_to_gitea_repository(
algorithm_id: str = Body(..., description="算法ID"),
message: str = Body("Update code", description="提交消息"),
current_user: dict = Depends(get_current_active_user)
):
"""
推送代码到Gitea仓库
"""
success = gitea_service.push_to_repository(algorithm_id, message)
if not success:
raise HTTPException(status_code=500, detail="Failed to push code")
# 验证推送是否成功
verify_success = gitea_service.verify_push(algorithm_id)
if not verify_success:
logger.warning(f"Push completed but verification failed for algorithm: {algorithm_id}")
return {
"success": True,
"message": "Code pushed but verification failed",
"verified": False
}
return {
"success": True,
"message": "Code pushed successfully",
"verified": True
}
@router.post("/repos/upload", dependencies=[Depends(get_current_active_user)])
async def upload_files_to_repository(
files: list[UploadFile] = File(..., description="上传的文件列表"),
algorithm_id: str = Form(..., description="算法ID")
):
"""
上传文件到仓库(支持大量文件)
"""
try:
logger.info("=== 开始上传文件 ===")
logger.info(f"Received {len(files)} files for algorithm: {algorithm_id}")
# 验证文件数量
MAX_FILES = 50000
if len(files) > MAX_FILES:
logger.error(f"Too many files: {len(files)} (max: {MAX_FILES})")
raise HTTPException(
status_code=400,
detail=f"Too many files. Maximum number of files is {MAX_FILES}."
)
# 创建仓库目录
repo_dir = f"/tmp/algorithms/{algorithm_id}"
logger.info(f"Repository directory: {repo_dir}")
os.makedirs(repo_dir, exist_ok=True)
logger.info(f"Created repository directory: {repo_dir}")
# 保存上传的文件
logger.info("=== 保存上传的文件 ===")
saved_files = []
# 分批处理文件,避免内存问题
batch_size = 100 # 每批处理100个文件
for batch_start in range(0, len(files), batch_size):
batch_end = min(batch_start + batch_size, len(files))
batch = files[batch_start:batch_end]
logger.info(f"Processing batch {batch_start//batch_size + 1}: files {batch_start+1} to {batch_end}")
for i, file in enumerate(batch):
# 为了获取文件内容,我们需要读取它
file_content = await file.read()
# 获取文件路径使用file.filename它应该包含相对路径
file_path = os.path.join(repo_dir, file.filename)
logger.info(f"Processing file {batch_start + i + 1}/{len(files)}: {file.filename}")
logger.info(f" Target path: {file_path}")
# 确保文件所在目录存在
os.makedirs(os.path.dirname(file_path), exist_ok=True)
logger.info(f" Created directory: {os.path.dirname(file_path)}")
# 保存文件
try:
with open(file_path, "wb") as f:
f.write(file_content)
file_stats = os.stat(file_path)
logger.info(f" File size: {file_stats.st_size} bytes")
logger.info(f" ✅ File saved successfully: {file_path}")
saved_files.append(file_path)
except Exception as file_error:
logger.error(f" ❌ Failed to save file {file.filename}: {str(file_error)}")
raise
logger.info(f"=== 文件上传完成 ===")
logger.info(f"Successfully saved {len(saved_files)} files to repository")
return {
"success": True,
"message": "Files uploaded successfully",
"saved_files": saved_files,
"total_files": len(files)
}
except Exception as e:
logger.error(f"=== 上传文件失败 ===")
logger.error(f"Error: {str(e)}")
import traceback
logger.error(f"Traceback: {traceback.format_exc()}")
raise HTTPException(status_code=500, detail=f"Failed to upload files: {str(e)}")
@router.post("/repos/pull")
async def pull_from_gitea_repository(
algorithm_id: str = Body(..., description="算法ID"),
current_user: dict = Depends(get_current_active_user)
):
"""
从Gitea仓库拉取代码
"""
success = gitea_service.pull_from_repository(algorithm_id)
if not success:
raise HTTPException(status_code=500, detail="Failed to pull code")
return {
"success": True,
"message": "Code pulled successfully"
}
@router.patch("/repos/update")
async def update_gitea_repository(
algorithm_id: str = Body(..., description="算法ID"),
name: Optional[str] = Body(None, description="新的仓库名称"),
description: Optional[str] = Body(None, description="新的仓库描述"),
private: Optional[bool] = Body(None, description="是否私有"),
current_user: dict = Depends(get_current_active_user)
):
"""
更新Gitea仓库信息
"""
updated_repo = gitea_service.update_repository_info(algorithm_id, name, description, private)
if not updated_repo:
raise HTTPException(status_code=500, detail="Failed to update repository info")
return {
"success": True,
"message": "Repository info updated successfully",
"repository": updated_repo
}
@router.post("/repos/register")
async def register_algorithm_from_repository(
repo_owner: str = Body(..., description="仓库所有者"),
repo_name: str = Body(..., description="仓库名称"),
algorithm_id: str = Body(..., description="算法ID"),
current_user: dict = Depends(get_current_active_user)
):
"""
从仓库注册算法服务
"""
success = gitea_service.register_algorithm_from_repo(repo_owner, repo_name, algorithm_id)
if not success:
raise HTTPException(status_code=500, detail="Failed to register algorithm from repository")
return {
"success": True,
"message": "Algorithm registered from repository successfully"
}
@router.get("/repos/{repo_owner}/{repo_name}")
async def get_gitea_repository_info(
repo_owner: str,
repo_name: str,
current_user: dict = Depends(get_current_active_user)
):
"""
获取仓库信息
"""
repo = gitea_service.get_repository_info(repo_owner, repo_name)
if not repo:
raise HTTPException(status_code=404, detail="Repository not found")
return repo

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"""历史记录管理路由,提供调用历史查询、统计和导出功能"""
from fastapi import APIRouter, HTTPException, status, Depends
from typing import List, Dict, Any, Optional
from datetime import datetime
import json
from app.services.history_manager import history_manager
from app.models.database import get_db
from app.routes.user import get_current_active_user
router = APIRouter(prefix="/history", tags=["history"])
@router.get("/user-calls")
async def get_user_call_history(
algorithm_id: Optional[str] = None,
start_date: Optional[str] = None,
end_date: Optional[str] = None,
status: Optional[str] = None,
skip: int = 0,
limit: int = 100,
current_user: dict = Depends(get_current_active_user),
db = Depends(get_db)
):
"""获取用户的调用历史"""
# 解析日期参数
start_dt = None
end_dt = None
if start_date:
try:
start_dt = datetime.fromisoformat(start_date.replace('Z', '+00:00'))
except ValueError:
raise HTTPException(status_code=400, detail="Invalid start_date format")
if end_date:
try:
end_dt = datetime.fromisoformat(end_date.replace('Z', '+00:00'))
except ValueError:
raise HTTPException(status_code=400, detail="Invalid end_date format")
# 普通用户只能查看自己的历史,管理员可以查看所有用户历史
user_id = current_user.get("id")
if current_user.get("role") == "admin":
# 管理员可以指定用户ID否则查看所有用户
user_id = None # 这样会返回所有用户的记录
history = history_manager.get_user_call_history(
db=db,
user_id=user_id or current_user.get("id"),
algorithm_id=algorithm_id,
start_date=start_dt,
end_date=end_dt,
status=status,
skip=skip,
limit=limit
)
return {
"history": [call.__dict__ for call in history],
"count": len(history),
"skip": skip,
"limit": limit
}
@router.get("/algorithm-calls/{algorithm_id}")
async def get_algorithm_call_history(
algorithm_id: str,
user_id: Optional[str] = None,
start_date: Optional[str] = None,
end_date: Optional[str] = None,
status: Optional[str] = None,
skip: int = 0,
limit: int = 100,
current_user: dict = Depends(get_current_active_user),
db = Depends(get_db)
):
"""获取特定算法的调用历史"""
# 验证权限:用户必须有权访问该算法
# 在实际实现中,这里应该检查用户是否有权访问该算法
# 为简化,我们只检查是否为管理员或查看自己的记录
# 解析日期参数
start_dt = None
end_dt = None
if start_date:
try:
start_dt = datetime.fromisoformat(start_date.replace('Z', '+00:00'))
except ValueError:
raise HTTPException(status_code=400, detail="Invalid start_date format")
if end_date:
try:
end_dt = datetime.fromisoformat(end_date.replace('Z', '+00:00'))
except ValueError:
raise HTTPException(status_code=400, detail="Invalid end_date format")
history = history_manager.get_algorithm_call_history(
db=db,
algorithm_id=algorithm_id,
user_id=user_id,
start_date=start_dt,
end_date=end_dt,
status=status,
skip=skip,
limit=limit
)
return {
"history": [call.__dict__ for call in history],
"count": len(history),
"skip": skip,
"limit": limit
}
@router.get("/statistics")
async def get_call_statistics(
user_id: Optional[str] = None,
algorithm_id: Optional[str] = None,
current_user: dict = Depends(get_current_active_user),
db = Depends(get_db)
):
"""获取调用统计信息"""
# 权限检查
if current_user.get("role") != "admin":
# 普通用户只能查看自己的统计
if user_id and user_id != current_user.get("id"):
raise HTTPException(status_code=403, detail="Insufficient permissions")
user_id = current_user.get("id")
stats = history_manager.get_call_statistics(
db=db,
user_id=user_id,
algorithm_id=algorithm_id
)
return stats
@router.post("/compare")
async def get_comparison_data(
call_ids: List[str],
current_user: dict = Depends(get_current_active_user),
db = Depends(get_db)
):
"""获取用于对比的历史数据"""
# 权限检查:用户只能对比自己的调用记录
# 获取调用记录
calls = db.query(AlgorithmCall).filter(AlgorithmCall.id.in_(call_ids)).all()
# 检查权限:用户只能对比自己的记录
for call in calls:
if call.user_id != current_user.get("id") and current_user.get("role") != "admin":
raise HTTPException(status_code=403, detail="Insufficient permissions to access call data")
comparison_data = history_manager.get_comparison_data(db, call_ids)
return {
"comparison_data": comparison_data,
"count": len(comparison_data)
}
@router.get("/export")
async def export_history(
algorithm_id: Optional[str] = None,
start_date: Optional[str] = None,
end_date: Optional[str] = None,
format_type: str = "json",
current_user: dict = Depends(get_current_active_user),
db = Depends(get_db)
):
"""导出历史记录"""
# 解析日期参数
start_dt = None
end_dt = None
if start_date:
try:
start_dt = datetime.fromisoformat(start_date.replace('Z', '+00:00'))
except ValueError:
raise HTTPException(status_code=400, detail="Invalid start_date format")
if end_date:
try:
end_dt = datetime.fromisoformat(end_date.replace('Z', '+00:00'))
except ValueError:
raise HTTPException(status_code=400, detail="Invalid end_date format")
file_path = history_manager.export_history(
db=db,
user_id=current_user.get("id"),
algorithm_id=algorithm_id,
start_date=start_dt,
end_date=end_dt,
format_type=format_type
)
if file_path:
return {
"success": True,
"file_path": file_path,
"download_url": f"/api/files/download/{file_path}",
"message": "History exported successfully"
}
else:
raise HTTPException(status_code=500, detail="Failed to export history")
@router.delete("/cleanup")
async def cleanup_old_history(
days_old: int,
algorithm_id: Optional[str] = None,
current_user: dict = Depends(get_current_active_user),
db = Depends(get_db)
):
"""清理旧的历史记录"""
# 只有管理员可以清理历史记录
if current_user.get("role") != "admin":
raise HTTPException(status_code=403, detail="Only administrators can clean up history")
# 确保天数为正数
if days_old <= 0:
raise HTTPException(status_code=400, detail="days_old must be positive")
deleted_count = history_manager.delete_old_history(
db=db,
days_old=days_old,
algorithm_id=algorithm_id
)
return {
"message": f"Cleaned up {deleted_count} old history records",
"deleted_count": deleted_count
}
# 导入需要的模型
from app.models.models import AlgorithmCall

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"""监控与日志路由,提供系统监控、指标收集和日志查询功能"""
from fastapi import APIRouter, HTTPException, status, Depends
from typing import List, Dict, Any, Optional
from datetime import datetime, timedelta
import json
from app.services.monitoring import monitoring_service
from app.utils.logger import structured_logger, log_query
from app.models.database import get_db
from app.routes.user import get_current_active_user
router = APIRouter(prefix="/monitoring", tags=["monitoring"])
@router.get("/health")
async def get_system_health():
"""获取系统健康状况"""
health = monitoring_service.get_system_health()
return health
@router.get("/dashboard")
async def get_dashboard_data(
current_user: dict = Depends(get_current_active_user),
db = Depends(get_db)
):
"""获取仪表板数据"""
# 只有管理员可以访问仪表板
if current_user.get("role") not in ["admin", "manager"]:
raise HTTPException(status_code=403, detail="Insufficient permissions")
dashboard_data = monitoring_service.get_dashboard_data(db)
return dashboard_data
@router.get("/metrics/system")
async def get_system_metrics(
current_user: dict = Depends(get_current_active_user)
):
"""获取系统指标"""
if current_user.get("role") not in ["admin", "manager"]:
raise HTTPException(status_code=403, detail="Insufficient permissions")
from app.services.monitoring import MetricsCollector
collector = MetricsCollector()
metrics = collector.collect_system_metrics()
return metrics
@router.get("/metrics/business")
async def get_business_metrics(
current_user: dict = Depends(get_current_active_user),
db = Depends(get_db)
):
"""获取业务指标"""
if current_user.get("role") not in ["admin", "manager"]:
raise HTTPException(status_code=403, detail="Insufficient permissions")
from app.services.monitoring import MetricsCollector
collector = MetricsCollector()
metrics = collector.collect_business_metrics(db)
return metrics
@router.get("/metrics/history")
async def get_metrics_history(
metric_type: str = "system",
limit: int = 100,
current_user: dict = Depends(get_current_active_user)
):
"""获取指标历史"""
if current_user.get("role") not in ["admin", "manager"]:
raise HTTPException(status_code=403, detail="Insufficient permissions")
if metric_type not in ["system", "business"]:
raise HTTPException(status_code=400, detail="Invalid metric type. Use 'system' or 'business'")
from app.services.monitoring import MetricsCollector
collector = MetricsCollector()
history = collector.get_metric_history(metric_type, limit)
return {"history": history}
@router.get("/alerts/active")
async def get_active_alerts(
current_user: dict = Depends(get_current_active_user)
):
"""获取当前激活的告警"""
if current_user.get("role") not in ["admin", "manager"]:
raise HTTPException(status_code=403, detail="Insufficient permissions")
active_alerts = monitoring_service.alert_manager.get_active_alerts()
return {"active_alerts": active_alerts}
@router.get("/alerts/history")
async def get_alert_history(
limit: int = 100,
current_user: dict = Depends(get_current_active_user)
):
"""获取告警历史"""
if current_user.get("role") not in ["admin", "manager"]:
raise HTTPException(status_code=403, detail="Insufficient permissions")
history = monitoring_service.alert_manager.get_alert_history(limit)
return {"alert_history": history}
@router.post("/monitoring/start")
async def start_monitoring(
interval: int = 60,
current_user: dict = Depends(get_current_active_user),
db = Depends(get_db)
):
"""启动监控"""
if current_user.get("role") not in ["admin", "manager"]:
raise HTTPException(status_code=403, detail="Insufficient permissions")
# 注意:在实际应用中,我们不会在这里启动一个长时间运行的协程
# 这通常会在应用启动时完成
# 这里仅作为示例返回确认信息
return {
"message": "Monitoring started",
"interval": interval,
"timestamp": datetime.utcnow().isoformat()
}
@router.post("/monitoring/stop")
async def stop_monitoring(
current_user: dict = Depends(get_current_active_user)
):
"""停止监控"""
if current_user.get("role") not in ["admin", "manager"]:
raise HTTPException(status_code=403, detail="Insufficient permissions")
await monitoring_service.stop_monitoring()
return {
"message": "Monitoring stopped",
"timestamp": datetime.utcnow().isoformat()
}
@router.post("/logs/event")
async def log_custom_event(
event_type: str,
user_id: Optional[str] = None,
algorithm_id: Optional[str] = None,
extra_data: Dict[str, Any] = {},
current_user: dict = Depends(get_current_active_user)
):
"""记录自定义事件日志"""
# 普通用户只能记录自己的事件
if current_user.get("role") not in ["admin", "manager"]:
if user_id and user_id != current_user.get("id"):
raise HTTPException(status_code=403, detail="Cannot log events for other users")
user_id = current_user.get("id")
structured_logger.log_event(
event_type=event_type,
user_id=user_id,
algorithm_id=algorithm_id,
extra_data=extra_data
)
return {
"message": "Event logged successfully",
"event_type": event_type,
"timestamp": datetime.utcnow().isoformat()
}
@router.post("/logs/api-call")
async def log_api_call(
user_id: str,
algorithm_id: str,
version_id: str,
input_size: int,
response_time: float,
success: bool,
error_msg: Optional[str] = None,
current_user: dict = Depends(get_current_active_user)
):
"""记录API调用日志"""
# 管理员或用户自己可以记录日志
if current_user.get("role") not in ["admin", "manager"]:
if user_id != current_user.get("id"):
raise HTTPException(status_code=403, detail="Cannot log API calls for other users")
structured_logger.log_api_call(
user_id=user_id,
algorithm_id=algorithm_id,
version_id=version_id,
input_size=input_size,
response_time=response_time,
success=success,
error_msg=error_msg
)
return {
"message": "API call logged successfully",
"success": success,
"timestamp": datetime.utcnow().isoformat()
}
@router.get("/logs/search")
async def search_logs(
start_date: Optional[str] = None,
end_date: Optional[str] = None,
event_types: Optional[str] = None, # 逗号分隔的事件类型
user_ids: Optional[str] = None, # 逗号分隔的用户ID
algorithm_ids: Optional[str] = None, # 逗号分隔的算法ID
log_levels: Optional[str] = None, # 逗号分隔的日志级别
limit: int = 100,
current_user: dict = Depends(get_current_active_user)
):
"""搜索日志"""
# 普通用户只能搜索自己的日志
if current_user.get("role") not in ["admin", "manager"]:
# 如果指定了其他用户ID则只允许查看自己的
if user_ids:
user_id_list = user_ids.split(',')
if current_user.get("id") not in user_id_list:
raise HTTPException(status_code=403, detail="Cannot search logs for other users")
else:
user_ids = current_user.get("id")
# 解析日期
start_dt = None
end_dt = None
if start_date:
try:
start_dt = datetime.fromisoformat(start_date.replace('Z', '+00:00'))
except ValueError:
raise HTTPException(status_code=400, detail="Invalid start_date format")
if end_date:
try:
end_dt = datetime.fromisoformat(end_date.replace('Z', '+00:00'))
except ValueError:
raise HTTPException(status_code=400, detail="Invalid end_date format")
# 解析数组参数
event_type_list = event_types.split(',') if event_types else None
user_id_list = user_ids.split(',') if user_ids else None
algorithm_id_list = algorithm_ids.split(',') if algorithm_ids else None
log_level_list = log_levels.split(',') if log_levels else None
# 执行搜索
results = log_query.search_logs(
start_date=start_dt,
end_date=end_dt,
event_types=event_type_list,
user_ids=user_id_list,
algorithm_ids=algorithm_id_list,
log_levels=log_level_list,
limit=limit
)
return {
"logs": results,
"count": len(results),
"limit": limit
}
@router.get("/logs/stats")
async def get_log_stats(
days: int = 7,
current_user: dict = Depends(get_current_active_user)
):
"""获取日志统计信息"""
if current_user.get("role") not in ["admin", "manager"]:
raise HTTPException(status_code=403, detail="Insufficient permissions")
stats = log_query.get_log_stats(days=days)
return stats
@router.get("/performance/algorithm/{algorithm_id}")
async def get_algorithm_performance(
algorithm_id: str,
days: int = 7,
current_user: dict = Depends(get_current_active_user),
db = Depends(get_db)
):
"""获取算法性能指标"""
# 用户只能查看自己有权访问的算法
if current_user.get("role") not in ["admin", "manager"]:
# 这里应该检查用户是否有权访问该算法
# 简单起见,我们假设用户可以查看任何算法
pass
from sqlalchemy import func
from app.models.models import AlgorithmCall
# 计算性能指标
start_date = datetime.utcnow() - timedelta(days=days)
# 总调用次数
total_calls = db.query(func.count(AlgorithmCall.id)).filter(
AlgorithmCall.algorithm_id == algorithm_id,
AlgorithmCall.created_at >= start_date
).scalar()
# 成功调用次数
success_calls = db.query(func.count(AlgorithmCall.id)).filter(
AlgorithmCall.algorithm_id == algorithm_id,
AlgorithmCall.status == 'success',
AlgorithmCall.created_at >= start_date
).scalar()
# 平均响应时间
avg_response_time = db.query(func.avg(AlgorithmCall.response_time)).filter(
AlgorithmCall.algorithm_id == algorithm_id,
AlgorithmCall.response_time.isnot(None),
AlgorithmCall.created_at >= start_date
).scalar()
# 按状态分组
status_counts = db.query(
AlgorithmCall.status,
func.count(AlgorithmCall.id)
).filter(
AlgorithmCall.algorithm_id == algorithm_id,
AlgorithmCall.created_at >= start_date
).group_by(AlgorithmCall.status).all()
status_dict = {status: count for status, count in status_counts}
success_rate = (success_calls / total_calls * 100) if total_calls > 0 else 0
return {
"algorithm_id": algorithm_id,
"period_days": days,
"total_calls": total_calls,
"success_calls": success_calls,
"failed_calls": total_calls - success_calls,
"success_rate": round(success_rate, 2),
"average_response_time": round(avg_response_time, 3) if avg_response_time else None,
"status_distribution": status_dict,
"timestamp": datetime.utcnow().isoformat()
}

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from fastapi import APIRouter, Depends, HTTPException
from typing import Optional
from app.utils.openai import openai_client
from app.routes.user import get_current_active_user
# 创建路由器
router = APIRouter(prefix="/openai", tags=["openai"])
@router.post("/generate-data", response_model=dict)
async def generate_simulation_data(
prompt: str,
data_type: str = "text",
current_user: dict = Depends(get_current_active_user)
):
"""生成仿真输入数据"""
# 验证数据类型
valid_types = ["text", "image", "structured"]
if data_type not in valid_types:
raise HTTPException(status_code=400, detail=f"Invalid data type. Valid types are: {', '.join(valid_types)}")
# 生成数据
result = openai_client.generate_simulation_data(prompt, data_type)
if not result:
raise HTTPException(status_code=500, detail="Failed to generate data from OpenAI")
return result
@router.post("/describe-image", response_model=dict)
async def generate_image_description(
image_url: str,
current_user: dict = Depends(get_current_active_user)
):
"""生成图片描述"""
# 生成图片描述
description = openai_client.generate_image_description(image_url)
if not description:
raise HTTPException(status_code=500, detail="Failed to generate image description from OpenAI")
return {"description": description}

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"""权限管理路由,提供算法访问权限和用户权限管理功能"""
from fastapi import APIRouter, HTTPException, status, Depends
from typing import List, Dict, Any, Optional
from pydantic import BaseModel
from app.services.permission import (
permission_manager, rbac_manager,
AccessLevel, PermissionType
)
from app.models.database import get_db
from app.routes.user import get_current_active_user
router = APIRouter(prefix="/permissions", tags=["permissions"])
class GrantPermissionRequest(BaseModel):
"""授予权限请求"""
user_id: str
algorithm_id: str
access_level: str # 使用字符串稍后转换为AccessLevel
class CheckPermissionRequest(BaseModel):
"""检查权限请求"""
algorithm_id: str
permission_type: str # 使用字符串稍后转换为PermissionType
class RevokePermissionRequest(BaseModel):
"""撤销权限请求"""
user_id: str
algorithm_id: str
@router.post("/grant")
async def grant_permission(
request: GrantPermissionRequest,
current_user: dict = Depends(get_current_active_user),
db = Depends(get_db)
):
"""授予用户对算法的权限"""
# 只有管理员和经理可以授予权限
if current_user.get("role") not in ["admin", "manager"]:
raise HTTPException(status_code=403, detail="Insufficient permissions to grant permissions")
# 验证访问级别
try:
access_level = AccessLevel(request.access_level)
except ValueError:
raise HTTPException(status_code=400, detail=f"Invalid access level. Valid levels: {[level.value for level in AccessLevel]}")
success = permission_manager.grant_permission(
db, current_user.get("id"), request.user_id,
request.algorithm_id, access_level
)
if success:
return {
"message": "Permission granted successfully",
"user_id": request.user_id,
"algorithm_id": request.algorithm_id,
"access_level": request.access_level
}
else:
raise HTTPException(status_code=500, detail="Failed to grant permission")
@router.post("/revoke")
async def revoke_permission(
request: RevokePermissionRequest,
current_user: dict = Depends(get_current_active_user),
db = Depends(get_db)
):
"""撤销用户对算法的权限"""
# 只有管理员和经理可以撤销权限
if current_user.get("role") not in ["admin", "manager"]:
raise HTTPException(status_code=403, detail="Insufficient permissions to revoke permissions")
success = permission_manager.revoke_permission(
db, current_user.get("id"), request.user_id, request.algorithm_id
)
if success:
return {
"message": "Permission revoked successfully",
"user_id": request.user_id,
"algorithm_id": request.algorithm_id
}
else:
raise HTTPException(status_code=500, detail="Failed to revoke permission")
@router.post("/check")
async def check_permission(
request: CheckPermissionRequest,
current_user: dict = Depends(get_current_active_user),
db = Depends(get_db)
):
"""检查用户对算法的权限"""
# 验证权限类型
try:
permission_type = PermissionType(request.permission_type)
except ValueError:
raise HTTPException(status_code=400, detail=f"Invalid permission type. Valid types: {[ptype.value for ptype in PermissionType]}")
has_permission = permission_manager.check_algorithm_access(
db, current_user.get("id"), request.algorithm_id, permission_type
)
return {
"has_permission": has_permission,
"user_id": current_user.get("id"),
"algorithm_id": request.algorithm_id,
"permission_type": request.permission_type
}
@router.get("/user/{user_id}")
async def get_user_permissions(
user_id: str,
current_user: dict = Depends(get_current_active_user),
db = Depends(get_db)
):
"""获取用户的权限列表"""
# 用户只能查看自己的权限,管理员可以查看任何用户权限
if current_user.get("role") not in ["admin", "manager"]:
if user_id != current_user.get("id"):
raise HTTPException(status_code=403, detail="Cannot view permissions for other users")
permissions = permission_manager.get_user_permissions(db, user_id)
return {
"user_id": user_id,
"permissions": permissions,
"count": len(permissions)
}
@router.get("/algorithm/{algorithm_id}")
async def get_algorithm_permissions(
algorithm_id: str,
current_user: dict = Depends(get_current_active_user),
db = Depends(get_db)
):
"""获取算法的权限分配情况"""
# 检查用户是否有权限查看算法权限
can_read = permission_manager.check_algorithm_access(
db, current_user.get("id"), algorithm_id, PermissionType.READ
)
if not can_read and current_user.get("role") not in ["admin", "manager"]:
raise HTTPException(status_code=403, detail="Insufficient permissions to view algorithm permissions")
permissions = permission_manager.get_algorithm_permissions(db, algorithm_id)
return {
"algorithm_id": algorithm_id,
"permissions": permissions,
"count": len(permissions)
}
@router.get("/role/{role_name}")
async def get_role_permissions(
role_name: str,
current_user: dict = Depends(get_current_active_user)
):
"""获取角色的权限列表"""
# 所有用户都可以查看角色权限
permissions = rbac_manager.get_role_permissions(role_name)
if not permissions:
raise HTTPException(status_code=404, detail="Role not found")
return {
"role": role_name,
"permissions": [perm.value for perm in permissions]
}
@router.get("/validate-operation")
async def validate_user_algorithm_operation(
algorithm_id: str,
operation: str,
current_user: dict = Depends(get_current_active_user),
db = Depends(get_db)
):
"""验证用户对算法的操作权限"""
is_valid = permission_manager.validate_user_algorithm_operation(
db, current_user.get("id"), algorithm_id, operation
)
return {
"user_id": current_user.get("id"),
"algorithm_id": algorithm_id,
"operation": operation,
"has_permission": is_valid
}
@router.get("/my-permissions")
async def get_my_permissions(
current_user: dict = Depends(get_current_active_user),
db = Depends(get_db)
):
"""获取当前用户的权限"""
permissions = permission_manager.get_user_permissions(db, current_user.get("id"))
return {
"user_id": current_user.get("id"),
"username": current_user.get("username"),
"role": current_user.get("role"),
"permissions": permissions,
"count": len(permissions)
}
@router.get("/user-role-permissions/{user_id}")
async def get_user_role_based_permissions(
user_id: str,
current_user: dict = Depends(get_current_active_user),
db = Depends(get_db)
):
"""获取用户的基于角色的权限(而非具体算法权限)"""
# 用户只能查看自己的权限,管理员可以查看任何用户权限
if current_user.get("role") not in ["admin", "manager"]:
if user_id != current_user.get("id"):
raise HTTPException(status_code=403, detail="Cannot view permissions for other users")
# 获取用户角色
from app.models.models import User
user = db.query(User).filter(User.id == user_id).first()
if not user:
raise HTTPException(status_code=404, detail="User not found")
role_permissions = rbac_manager.get_role_permissions(user.role)
return {
"user_id": user_id,
"role": user.role,
"role_permissions": [perm.value for perm in role_permissions]
}
@router.get("/check-api-key-access")
async def check_api_key_access(
api_key_value: str,
algorithm_id: str,
current_user: dict = Depends(get_current_active_user),
db = Depends(get_db)
):
"""检查API密钥对算法的访问权限"""
# 只有管理员可以检查任意API密钥的权限
if current_user.get("role") != "admin":
raise HTTPException(status_code=403, detail="Only admins can check API key access")
has_access = permission_manager.check_api_key_access(db, api_key_value, algorithm_id)
return {
"api_key_valid": True, # 如果到达这里说明API密钥存在且活跃
"has_algorithm_access": has_access,
"algorithm_id": algorithm_id
}

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"""算法仓库管理路由,提供仓库添加、列表、删除等功能"""
from fastapi import APIRouter, HTTPException, status, Depends
from typing import List, Dict, Any, Optional
from pydantic import BaseModel
import uuid
from app.models.models import AlgorithmRepository
from app.models.database import SessionLocal
from app.routes.user import get_current_active_user
from app.gitea.service import gitea_service
router = APIRouter(prefix="/repositories", tags=["repositories"])
class CreateRepositoryRequest(BaseModel):
"""创建仓库请求"""
name: str
description: str
type: str = "code"
repo_url: str
branch: str = "main"
local_path: str = ""
algorithm_id: Optional[str] = None
class UpdateRepositoryRequest(BaseModel):
"""更新仓库请求"""
name: Optional[str] = None
description: Optional[str] = None
type: Optional[str] = None
repo_url: Optional[str] = None
branch: Optional[str] = None
local_path: Optional[str] = None
algorithm_id: Optional[str] = None
@router.post("", status_code=status.HTTP_201_CREATED)
async def create_repository(
request: CreateRepositoryRequest,
current_user: dict = Depends(get_current_active_user)
):
"""创建算法仓库"""
# 检查用户权限
if current_user.role != "admin":
raise HTTPException(status_code=403, detail="Insufficient permissions")
# 创建数据库会话
db = SessionLocal()
try:
# 生成唯一ID
repo_id = str(uuid.uuid4())
# 创建仓库实例
repo = AlgorithmRepository(
id=repo_id,
name=request.name,
description=request.description,
type=request.type,
repo_url=request.repo_url,
branch=request.branch,
local_path=request.local_path,
algorithm_id=request.algorithm_id
)
# 保存到数据库
db.add(repo)
db.commit()
db.refresh(repo)
return {
"success": True,
"message": "Repository created successfully",
"repository": {
"id": repo.id,
"name": repo.name,
"description": repo.description,
"type": repo.type,
"repo_url": repo.repo_url,
"branch": repo.branch,
"local_path": repo.local_path,
"algorithm_id": repo.algorithm_id,
"status": repo.status,
"created_at": repo.created_at,
"updated_at": repo.updated_at
}
}
finally:
db.close()
@router.get("")
async def list_repositories(
algorithm_id: Optional[str] = None,
current_user: dict = Depends(get_current_active_user)
):
"""获取算法仓库列表"""
# 检查用户权限
if current_user.role != "admin":
raise HTTPException(status_code=403, detail="Insufficient permissions")
# 创建数据库会话
db = SessionLocal()
try:
# 查询仓库列表
query = db.query(AlgorithmRepository)
# 如果指定了算法ID只返回该算法的仓库
if algorithm_id:
query = query.filter(AlgorithmRepository.algorithm_id == algorithm_id)
repos = query.all()
# 转换为字典列表
repo_list = []
for repo in repos:
repo_list.append({
"id": repo.id,
"name": repo.name,
"description": repo.description,
"type": repo.type,
"repo_url": repo.repo_url,
"branch": repo.branch,
"local_path": repo.local_path,
"algorithm_id": repo.algorithm_id,
"status": repo.status,
"created_at": repo.created_at,
"updated_at": repo.updated_at
})
return {
"success": True,
"repositories": repo_list
}
finally:
db.close()
@router.get("/{repo_id}")
async def get_repository(
repo_id: str,
current_user: dict = Depends(get_current_active_user)
):
"""获取单个算法仓库"""
# 检查用户权限
if current_user.role != "admin":
raise HTTPException(status_code=403, detail="Insufficient permissions")
# 创建数据库会话
db = SessionLocal()
try:
# 查询仓库
repo = db.query(AlgorithmRepository).filter(AlgorithmRepository.id == repo_id).first()
if not repo:
raise HTTPException(status_code=404, detail="Repository not found")
return {
"success": True,
"repository": {
"id": repo.id,
"name": repo.name,
"description": repo.description,
"type": repo.type,
"repo_url": repo.repo_url,
"branch": repo.branch,
"local_path": repo.local_path,
"algorithm_id": repo.algorithm_id,
"status": repo.status,
"created_at": repo.created_at,
"updated_at": repo.updated_at
}
}
finally:
db.close()
@router.put("/{repo_id}")
async def update_repository(
repo_id: str,
request: UpdateRepositoryRequest,
current_user: dict = Depends(get_current_active_user)
):
"""更新算法仓库"""
# 检查用户权限
if current_user.role != "admin":
raise HTTPException(status_code=403, detail="Insufficient permissions")
# 创建数据库会话
db = SessionLocal()
try:
# 查询仓库
repo = db.query(AlgorithmRepository).filter(AlgorithmRepository.id == repo_id).first()
if not repo:
raise HTTPException(status_code=404, detail="Repository not found")
# 更新仓库信息
if request.name is not None:
repo.name = request.name
if request.description is not None:
repo.description = request.description
if request.type is not None:
repo.type = request.type
if request.repo_url is not None:
repo.repo_url = request.repo_url
if request.branch is not None:
repo.branch = request.branch
if request.local_path is not None:
repo.local_path = request.local_path
if request.algorithm_id is not None:
repo.algorithm_id = request.algorithm_id
# 保存到数据库
db.commit()
db.refresh(repo)
return {
"success": True,
"message": "Repository updated successfully",
"repository": {
"id": repo.id,
"name": repo.name,
"description": repo.description,
"type": repo.type,
"repo_url": repo.repo_url,
"branch": repo.branch,
"local_path": repo.local_path,
"algorithm_id": repo.algorithm_id,
"status": repo.status,
"created_at": repo.created_at,
"updated_at": repo.updated_at
}
}
finally:
db.close()
@router.delete("/{repo_id}")
async def delete_repository(
repo_id: str,
current_user: dict = Depends(get_current_active_user)
):
"""删除算法仓库"""
# 检查用户权限
if current_user.role != "admin":
raise HTTPException(status_code=403, detail="Insufficient permissions")
# 创建数据库会话
db = SessionLocal()
try:
# 查询仓库
repo = db.query(AlgorithmRepository).filter(AlgorithmRepository.id == repo_id).first()
if not repo:
raise HTTPException(status_code=404, detail="Repository not found")
# 先删除Gitea仓库
gitea_deleted = False
if repo.repo_url:
# 从repo_url中提取仓库名称
import os
repo_name = os.path.basename(repo.repo_url).replace('.git', '')
gitea_deleted = gitea_service.delete_repository(repo_name)
if gitea_deleted:
print(f"Gitea repository deleted successfully: {repo_name}")
else:
print(f"Failed to delete Gitea repository: {repo_name}")
# 删除系统仓库数据
db.delete(repo)
db.commit()
return {
"success": True,
"message": "Repository deleted successfully",
"gitea_deleted": gitea_deleted
}
finally:
db.close()

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"""算法服务管理路由,提供服务注册、管理等功能"""
from fastapi import APIRouter, HTTPException, status, Depends
from typing import List, Dict, Any, Optional
from pydantic import BaseModel
import uuid
import os
from app.models.models import AlgorithmService
from app.models.database import SessionLocal
from app.routes.user import get_current_active_user
from app.services.project_analyzer import ProjectAnalyzer
from app.services.service_generator import ServiceGenerator
from app.services.service_orchestrator import ServiceOrchestrator
router = APIRouter(prefix="/services", tags=["services"])
class RegisterServiceRequest(BaseModel):
"""注册服务请求"""
repository_id: str
name: str
version: str = "1.0.0"
service_type: str = "http"
host: str = "0.0.0.0"
port: int = 8000
timeout: int = 30
health_check_path: str = "/health"
environment: Dict[str, str] = {}
class ServiceResponse(BaseModel):
"""服务响应"""
id: str
service_id: str
name: str
algorithm_name: str
version: str
host: str
port: int
api_url: str
status: str
created_at: str
updated_at: str
class ServiceListResponse(BaseModel):
"""服务列表响应"""
success: bool
services: List[ServiceResponse]
class ServiceDetailResponse(BaseModel):
"""服务详情响应"""
success: bool
service: ServiceResponse
class ServiceOperationResponse(BaseModel):
"""服务操作响应"""
success: bool
message: str
service_id: str
status: str
class ServiceStatusResponse(BaseModel):
"""服务状态响应"""
success: bool
status: str
health: str
class ServiceLogsResponse(BaseModel):
"""服务日志响应"""
success: bool
logs: List[str]
class RepositoryAlgorithmsResponse(BaseModel):
"""仓库算法列表响应"""
success: bool
algorithms: List[Dict[str, Any]]
# 初始化服务组件
project_analyzer = ProjectAnalyzer()
service_generator = ServiceGenerator()
service_orchestrator = ServiceOrchestrator()
@router.post("/register", status_code=status.HTTP_201_CREATED)
async def register_service(
request: RegisterServiceRequest,
current_user: dict = Depends(get_current_active_user)
):
"""注册新服务"""
# 检查用户权限
if current_user.role != "admin":
raise HTTPException(status_code=403, detail="Insufficient permissions")
# 创建数据库会话
db = SessionLocal()
try:
# 1. 获取仓库信息
# 注意:在实际实现中,应该从数据库中获取仓库信息
# 这里简化处理,假设仓库存在
# 2. 分析项目
repo_path = f"/tmp/repository_{request.repository_id}"
# 注意:在实际实现中,应该从算法仓库中获取项目文件
# 这里简化处理,创建一个模拟的项目结构
os.makedirs(repo_path, exist_ok=True)
# 创建模拟的算法文件
with open(os.path.join(repo_path, "algorithm.py"), "w") as f:
f.write("""
def predict(data):
return {"result": "Prediction result", "input": data}
def run(data):
return {"result": "Run result", "input": data}
def main(data):
return {"result": "Main result", "input": data}
""")
# 分析项目
project_info = project_analyzer.analyze_project(repo_path)
if not project_info["success"]:
raise HTTPException(status_code=400, detail=f"项目分析失败: {project_info['error']}")
# 3. 生成服务包装器
service_config = {
"name": request.name,
"version": request.version,
"service_type": request.service_type,
"host": request.host,
"port": request.port,
"timeout": request.timeout,
"health_check_path": request.health_check_path,
"environment": request.environment
}
generate_result = service_generator.generate_service(project_info, service_config)
if not generate_result["success"]:
raise HTTPException(status_code=400, detail=f"服务生成失败: {generate_result['error']}")
# 4. 部署服务
service_id = str(uuid.uuid4())
deploy_result = service_orchestrator.deploy_service(service_id, service_config, project_info)
if not deploy_result["success"]:
raise HTTPException(status_code=400, detail=f"服务部署失败: {deploy_result['error']}")
# 5. 保存服务信息到数据库
new_service = AlgorithmService(
id=str(uuid.uuid4()),
service_id=service_id,
name=request.name,
algorithm_name="algorithm", # 注意:在实际实现中,应该从仓库信息中获取
version=request.version,
host=request.host,
port=request.port,
api_url=deploy_result["api_url"],
status=deploy_result["status"],
config={
"service_type": request.service_type,
"timeout": request.timeout,
"health_check_path": request.health_check_path,
"environment": request.environment,
"container_id": deploy_result["container_id"]
}
)
db.add(new_service)
db.commit()
db.refresh(new_service)
# 6. 返回响应
return {
"success": True,
"message": "服务注册成功",
"service": {
"id": new_service.id,
"service_id": new_service.service_id,
"name": new_service.name,
"algorithm_name": new_service.algorithm_name,
"version": new_service.version,
"host": new_service.host,
"port": new_service.port,
"api_url": new_service.api_url,
"status": new_service.status,
"created_at": new_service.created_at.isoformat(),
"updated_at": new_service.updated_at.isoformat()
}
}
finally:
db.close()
@router.get("", response_model=ServiceListResponse)
async def list_services(
current_user: dict = Depends(get_current_active_user)
):
"""获取服务列表"""
# 检查用户权限
if current_user.role != "admin":
raise HTTPException(status_code=403, detail="Insufficient permissions")
# 创建数据库会话
db = SessionLocal()
try:
# 查询服务列表
services = db.query(AlgorithmService).all()
# 转换为响应格式
service_list = []
for service in services:
service_list.append(ServiceResponse(
id=service.id,
service_id=service.service_id,
name=service.name,
algorithm_name=service.algorithm_name,
version=service.version,
host=service.host,
port=service.port,
api_url=service.api_url,
status=service.status,
created_at=service.created_at.isoformat(),
updated_at=service.updated_at.isoformat()
))
return ServiceListResponse(
success=True,
services=service_list
)
finally:
db.close()
@router.get("/{service_id}", response_model=ServiceDetailResponse)
async def get_service(
service_id: str,
current_user: dict = Depends(get_current_active_user)
):
"""获取服务详情"""
# 检查用户权限
if current_user.role != "admin":
raise HTTPException(status_code=403, detail="Insufficient permissions")
# 创建数据库会话
db = SessionLocal()
try:
# 查询服务
service = db.query(AlgorithmService).filter(AlgorithmService.service_id == service_id).first()
if not service:
raise HTTPException(status_code=404, detail="Service not found")
# 返回响应
return ServiceDetailResponse(
success=True,
service=ServiceResponse(
id=service.id,
service_id=service.service_id,
name=service.name,
algorithm_name=service.algorithm_name,
version=service.version,
host=service.host,
port=service.port,
api_url=service.api_url,
status=service.status,
created_at=service.created_at.isoformat(),
updated_at=service.updated_at.isoformat()
)
)
finally:
db.close()
@router.post("/{service_id}/start")
async def start_service(
service_id: str,
current_user: dict = Depends(get_current_active_user)
):
"""启动服务"""
# 检查用户权限
if current_user.role != "admin":
raise HTTPException(status_code=403, detail="Insufficient permissions")
# 创建数据库会话
db = SessionLocal()
try:
# 查询服务
service = db.query(AlgorithmService).filter(AlgorithmService.service_id == service_id).first()
if not service:
raise HTTPException(status_code=404, detail="Service not found")
# 获取容器ID
container_id = service.config.get("container_id")
if not container_id:
raise HTTPException(status_code=400, detail="Container ID not found")
# 启动服务
start_result = service_orchestrator.start_service(service_id, container_id)
if not start_result["success"]:
raise HTTPException(status_code=400, detail=f"服务启动失败: {start_result['error']}")
# 更新服务状态
service.status = start_result["status"]
db.commit()
# 返回响应
return ServiceOperationResponse(
success=True,
message="服务启动成功",
service_id=service_id,
status=start_result["status"]
)
finally:
db.close()
@router.post("/{service_id}/stop")
async def stop_service(
service_id: str,
current_user: dict = Depends(get_current_active_user)
):
"""停止服务"""
# 检查用户权限
if current_user.role != "admin":
raise HTTPException(status_code=403, detail="Insufficient permissions")
# 创建数据库会话
db = SessionLocal()
try:
# 查询服务
service = db.query(AlgorithmService).filter(AlgorithmService.service_id == service_id).first()
if not service:
raise HTTPException(status_code=404, detail="Service not found")
# 获取容器ID
container_id = service.config.get("container_id")
if not container_id:
raise HTTPException(status_code=400, detail="Container ID not found")
# 停止服务
stop_result = service_orchestrator.stop_service(service_id, container_id)
if not stop_result["success"]:
raise HTTPException(status_code=400, detail=f"服务停止失败: {stop_result['error']}")
# 更新服务状态
service.status = stop_result["status"]
db.commit()
# 返回响应
return ServiceOperationResponse(
success=True,
message="服务停止成功",
service_id=service_id,
status=stop_result["status"]
)
finally:
db.close()
@router.post("/{service_id}/restart")
async def restart_service(
service_id: str,
current_user: dict = Depends(get_current_active_user)
):
"""重启服务"""
# 检查用户权限
if current_user.role != "admin":
raise HTTPException(status_code=403, detail="Insufficient permissions")
# 创建数据库会话
db = SessionLocal()
try:
# 查询服务
service = db.query(AlgorithmService).filter(AlgorithmService.service_id == service_id).first()
if not service:
raise HTTPException(status_code=404, detail="Service not found")
# 获取容器ID
container_id = service.config.get("container_id")
if not container_id:
raise HTTPException(status_code=400, detail="Container ID not found")
# 重启服务
restart_result = service_orchestrator.restart_service(service_id, container_id)
if not restart_result["success"]:
raise HTTPException(status_code=400, detail=f"服务重启失败: {restart_result['error']}")
# 更新服务状态
service.status = restart_result["status"]
db.commit()
# 返回响应
return ServiceOperationResponse(
success=True,
message="服务重启成功",
service_id=service_id,
status=restart_result["status"]
)
finally:
db.close()
@router.delete("/{service_id}")
async def delete_service(
service_id: str,
current_user: dict = Depends(get_current_active_user)
):
"""删除服务"""
# 检查用户权限
if current_user.role != "admin":
raise HTTPException(status_code=403, detail="Insufficient permissions")
# 创建数据库会话
db = SessionLocal()
try:
# 查询服务
service = db.query(AlgorithmService).filter(AlgorithmService.service_id == service_id).first()
if not service:
raise HTTPException(status_code=404, detail="Service not found")
# 获取容器ID和镜像名称
container_id = service.config.get("container_id")
image_name = f"algorithm-service-{service_id}:{service.version}"
# 删除服务
delete_result = service_orchestrator.delete_service(service_id, container_id, image_name)
if not delete_result["success"]:
# 继续执行即使Docker操作失败
pass
# 删除数据库记录
db.delete(service)
db.commit()
# 返回响应
return {
"success": True,
"message": "服务删除成功",
"service_id": service_id
}
finally:
db.close()
@router.get("/{service_id}/status")
async def get_service_status(
service_id: str,
current_user: dict = Depends(get_current_active_user)
):
"""获取服务状态"""
# 检查用户权限
if current_user.role != "admin":
raise HTTPException(status_code=403, detail="Insufficient permissions")
# 创建数据库会话
db = SessionLocal()
try:
# 查询服务
service = db.query(AlgorithmService).filter(AlgorithmService.service_id == service_id).first()
if not service:
raise HTTPException(status_code=404, detail="Service not found")
# 获取容器ID
container_id = service.config.get("container_id")
if not container_id:
raise HTTPException(status_code=400, detail="Container ID not found")
# 获取服务状态
status_result = service_orchestrator.get_service_status(container_id)
if not status_result["success"]:
raise HTTPException(status_code=400, detail=f"获取服务状态失败: {status_result['error']}")
# 返回响应
return ServiceStatusResponse(
success=True,
status=status_result["status"],
health=status_result["health"]
)
finally:
db.close()
@router.get("/{service_id}/logs")
async def get_service_logs(
service_id: str,
lines: int = 100,
current_user: dict = Depends(get_current_active_user)
):
"""获取服务日志"""
# 检查用户权限
if current_user.role != "admin":
raise HTTPException(status_code=403, detail="Insufficient permissions")
# 创建数据库会话
db = SessionLocal()
try:
# 查询服务
service = db.query(AlgorithmService).filter(AlgorithmService.service_id == service_id).first()
if not service:
raise HTTPException(status_code=404, detail="Service not found")
# 获取容器ID
container_id = service.config.get("container_id")
if not container_id:
raise HTTPException(status_code=400, detail="Container ID not found")
# 获取服务日志
logs_result = service_orchestrator.get_service_logs(container_id, lines)
if not logs_result["success"]:
raise HTTPException(status_code=400, detail=f"获取服务日志失败: {logs_result['error']}")
# 返回响应
return ServiceLogsResponse(
success=True,
logs=logs_result["logs"]
)
finally:
db.close()
@router.get("/repository/algorithms")
async def get_repository_algorithms(
repository_id: str,
current_user: dict = Depends(get_current_active_user)
):
"""获取仓库中的算法列表"""
# 检查用户权限
if current_user.role != "admin":
raise HTTPException(status_code=403, detail="Insufficient permissions")
try:
# 模拟获取仓库中的算法列表
# 注意:在实际实现中,应该从算法仓库中获取真实的算法列表
algorithms = [
{
"id": "alg-001",
"name": "图像分类算法",
"description": "基于深度学习的图像分类算法",
"type": "computer_vision",
"entry_point": "algorithm.py"
},
{
"id": "alg-002",
"name": "文本分类算法",
"description": "基于BERT的文本分类算法",
"type": "nlp",
"entry_point": "text_algorithm.py"
}
]
return RepositoryAlgorithmsResponse(
success=True,
algorithms=algorithms
)
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))

129
backend/app/routes/user.py Normal file
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from fastapi import APIRouter, Depends, HTTPException, status
from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm
from sqlalchemy.orm import Session
from typing import List
from app.models.database import get_db
from app.schemas.user import UserCreate, UserUpdate, UserResponse, UserListResponse, Token, LoginRequest
from app.services.user import UserService
# 创建路由器
router = APIRouter(prefix="/users", tags=["users"])
# OAuth2密码Bearer
oauth2_scheme = OAuth2PasswordBearer(tokenUrl="/users/login")
async def get_current_active_user(db: Session = Depends(get_db), token: str = Depends(oauth2_scheme)):
"""获取当前活跃用户"""
user = UserService.get_current_user(db, token)
if not user:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Could not validate credentials",
headers={"WWW-Authenticate": "Bearer"},
)
if user.status != "active":
raise HTTPException(status_code=400, detail="Inactive user")
return user
from app.schemas.user import LoginRequest
@router.post("/login", response_model=Token)
async def login(login_request: LoginRequest, db: Session = Depends(get_db)):
"""用户登录"""
user = UserService.authenticate_user(db, login_request.username, login_request.password)
if not user:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Incorrect username or password",
headers={"WWW-Authenticate": "Bearer"},
)
# 创建访问令牌
access_token = UserService.create_access_token(
data={"sub": user.username, "user_id": user.id}
)
return {"access_token": access_token, "token_type": "bearer"}
@router.post("/register", response_model=UserResponse)
async def register(user: UserCreate, db: Session = Depends(get_db)):
"""用户注册"""
# 检查用户名是否已存在
if UserService.get_user_by_username(db, user.username):
raise HTTPException(status_code=400, detail="Username already registered")
# 检查邮箱是否已存在
if UserService.get_user_by_email(db, user.email):
raise HTTPException(status_code=400, detail="Email already registered")
# 创建用户
db_user = UserService.create_user(db, user)
return db_user
@router.get("/me", response_model=UserResponse)
async def read_users_me(current_user: UserResponse = Depends(get_current_active_user)):
"""获取当前用户信息"""
return current_user
@router.get("/", response_model=UserListResponse)
async def get_users(
skip: int = 0,
limit: int = 100,
current_user: UserResponse = Depends(get_current_active_user),
db: Session = Depends(get_db)
):
"""获取用户列表"""
# 只有管理员可以查看用户列表
if current_user.role != "admin":
raise HTTPException(status_code=403, detail="Not enough permissions")
users = UserService.get_users(db, skip=skip, limit=limit)
return {"users": users, "total": len(users)}
@router.get("/{user_id}", response_model=UserResponse)
async def get_user(
user_id: str,
current_user: UserResponse = Depends(get_current_active_user),
db: Session = Depends(get_db)
):
"""获取用户信息"""
# 只有管理员或用户本人可以查看用户信息
if current_user.role != "admin" and current_user.id != user_id:
raise HTTPException(status_code=403, detail="Not enough permissions")
user = UserService.get_user_by_id(db, user_id)
if not user:
raise HTTPException(status_code=404, detail="User not found")
return user
@router.put("/{user_id}", response_model=UserResponse)
async def update_user(
user_id: str,
user_update: UserUpdate,
current_user: UserResponse = Depends(get_current_active_user),
db: Session = Depends(get_db)
):
"""更新用户信息"""
# 只有管理员或用户本人可以更新用户信息
if current_user.role != "admin" and current_user.id != user_id:
raise HTTPException(status_code=403, detail="Not enough permissions")
# 非管理员只能更新自己的信息,不能更新角色
if current_user.role != "admin" and "role" in user_update.dict():
raise HTTPException(status_code=403, detail="Cannot update role")
user = UserService.update_user(db, user_id, user_update)
if not user:
raise HTTPException(status_code=404, detail="User not found")
return user

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from pydantic import BaseModel, Field
from typing import Optional, List, Dict, Any
from datetime import datetime
class AlgorithmBase(BaseModel):
"""算法基础模式"""
id: Optional[str] = None
name: str = Field(..., description="算法名称")
description: str = Field(..., description="算法描述")
type: str = Field(..., description="算法类型")
class AlgorithmCreate(AlgorithmBase):
"""创建算法模式"""
# 版本相关字段
version: str = Field(default="1.0.0", description="版本号")
url: str = Field(default="", description="算法API地址")
params: Dict[str, Any] = Field(default_factory=dict, description="算法参数配置")
input_schema: Dict[str, Any] = Field(default_factory=dict, description="输入数据格式")
output_schema: Dict[str, Any] = Field(default_factory=dict, description="输出数据格式")
code: str = Field(default="", description="Python算法代码")
model_name: str = Field(default="", description="API训练后的模型名字")
model_file: str = Field(default="", description="模型文件路径")
api_doc: str = Field(default="", description="模型的API用法文档")
class AlgorithmUpdate(BaseModel):
"""更新算法模式"""
name: Optional[str] = None
description: Optional[str] = None
type: Optional[str] = None
status: Optional[str] = None
class AlgorithmVersionBase(BaseModel):
"""算法版本基础模式"""
id: Optional[str] = None
algorithm_id: str = Field(..., description="算法ID")
version: str = Field(..., description="版本号")
url: str = Field(..., description="算法API地址")
params: Dict[str, Any] = Field(default_factory=dict, description="算法参数配置")
input_schema: Dict[str, Any] = Field(default_factory=dict, description="输入数据格式")
output_schema: Dict[str, Any] = Field(default_factory=dict, description="输出数据格式")
code: str = Field(default="", description="Python算法代码")
model_name: str = Field(default="", description="API训练后的模型名字")
model_file: str = Field(default="", description="模型文件路径")
api_doc: str = Field(default="", description="模型的API用法文档")
is_default: bool = Field(default=False, description="是否为默认版本")
class AlgorithmVersionCreate(AlgorithmVersionBase):
"""创建算法版本模式"""
pass
class AlgorithmVersionUpdate(BaseModel):
"""更新算法版本模式"""
version: Optional[str] = None
url: Optional[str] = None
params: Optional[Dict[str, Any]] = None
input_schema: Optional[Dict[str, Any]] = None
output_schema: Optional[Dict[str, Any]] = None
code: Optional[str] = None
model_name: Optional[str] = None
model_file: Optional[str] = None
api_doc: Optional[str] = None
is_default: Optional[bool] = None
class AlgorithmCallBase(BaseModel):
"""算法调用基础模式"""
id: Optional[str] = None
algorithm_id: str = Field(..., description="算法ID")
version_id: str = Field(..., description="版本ID")
input_data: Dict[str, Any] = Field(..., description="输入数据")
params: Dict[str, Any] = Field(default_factory=dict, description="调用参数")
class AlgorithmCallCreate(AlgorithmCallBase):
"""创建算法调用模式"""
pass
class AlgorithmCallResult(BaseModel):
"""算法调用结果模式"""
id: str
status: str
output_data: Dict[str, Any]
response_time: Optional[float] = None
error_message: Optional[str] = None
created_at: datetime
class AlgorithmResponse(AlgorithmBase):
"""算法响应模式"""
status: str
created_at: datetime
updated_at: Optional[datetime] = None
versions: List["AlgorithmVersionResponse"] = []
class AlgorithmVersionResponse(AlgorithmVersionBase):
"""算法版本响应模式"""
created_at: datetime
updated_at: Optional[datetime] = None
class AlgorithmListResponse(BaseModel):
"""算法列表响应模式"""
algorithms: List[AlgorithmResponse]
total: int
# 更新前向引用
AlgorithmResponse.model_rebuild()

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from pydantic import BaseModel, Field, EmailStr
from typing import Optional, List
from datetime import datetime
class UserBase(BaseModel):
"""用户基础模式"""
id: Optional[str] = None
username: str = Field(..., description="用户名")
email: EmailStr = Field(..., description="邮箱")
role: str = Field(default="user", description="用户角色")
class UserCreate(UserBase):
"""创建用户模式"""
password: str = Field(..., description="密码")
class UserUpdate(BaseModel):
"""更新用户模式"""
username: Optional[str] = None
email: Optional[EmailStr] = None
role: Optional[str] = None
status: Optional[str] = None
password: Optional[str] = None
class UserResponse(UserBase):
"""用户响应模式"""
status: str
created_at: datetime
updated_at: Optional[datetime] = None
class UserListResponse(BaseModel):
"""用户列表响应模式"""
users: List[UserResponse]
total: int
class Token(BaseModel):
"""令牌模式"""
access_token: str
token_type: str = "bearer"
class TokenData(BaseModel):
"""令牌数据模式"""
username: Optional[str] = None
user_id: Optional[str] = None
class LoginRequest(BaseModel):
"""登录请求模式"""
username: str = Field(..., description="用户名")
password: str = Field(..., description="密码")
class APIKeyBase(BaseModel):
"""API密钥基础模式"""
id: Optional[str] = None
user_id: str = Field(..., description="用户ID")
name: str = Field(..., description="密钥名称")
class APIKeyCreate(APIKeyBase):
"""创建API密钥模式"""
expires_at: datetime = Field(..., description="过期时间")
class APIKeyResponse(APIKeyBase):
"""API密钥响应模式"""
key: str
expires_at: datetime
status: str
created_at: datetime
updated_at: Optional[datetime] = None
class APIKeyListResponse(BaseModel):
"""API密钥列表响应模式"""
api_keys: List[APIKeyResponse]
total: int

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