diff --git a/.qoder/repowiki/zh/content/开发指南/开发指南.md b/.qoder/repowiki/zh/content/开发指南/开发指南.md index 2fcb08f..2915315 100644 --- a/.qoder/repowiki/zh/content/开发指南/开发指南.md +++ b/.qoder/repowiki/zh/content/开发指南/开发指南.md @@ -17,6 +17,7 @@ - [backend/app/api/auth.py](file://backend/app/api/auth.py) - [backend/app/schemas/auth.py](file://backend/app/schemas/auth.py) - [backend/app/models/user.py](file://backend/app/models/user.py) +- [README.md](file://README.md) ## 目录 @@ -32,7 +33,7 @@ 10. 附录 ## 引言 -本开发指南面向GEO项目的开发者，旨在统一前后端代码规范与最佳实践，明确开发流程与工作流（包括分支策略、代码评审与版本发布），并提供开发工具使用方法（IDE配置、调试与性能分析）、新功能开发指导原则（模块设计、接口定义与测试要求），以及常见问题的排查方案。本指南以仓库中现有实现为依据，确保内容可落地、可执行。 +本开发指南面向GEO项目的开发者，旨在统一前后端代码规范与最佳实践，明确开发流程与工作流（包括分支策略、代码评审与版本发布），并提供开发工具使用方法（IDE配置、调试与性能分析、**Git部署自动化脚本**）、新功能开发指导原则（模块设计、接口定义与测试要求），以及常见问题的排查方案。本指南以仓库中现有实现为依据，确保内容可落地、可执行。 ## 项目结构 GEO采用前后端分离架构，后端基于FastAPI，前端基于Next.js，数据库使用PostgreSQL，缓存使用Redis，任务调度使用APScheduler，浏览器自动化使用Playwright。项目通过Docker与docker-compose进行容器化编排，便于本地开发与部署。 @@ -70,7 +71,7 @@ DC --> DB DC --> REDIS ``` -图表来源 +**图表来源** - [docker-compose.yml:1-71](file://docker-compose.yml#L1-L71) - [frontend/Dockerfile:1-15](file://frontend/Dockerfile#L1-L15) - [backend/Dockerfile:1-41](file://backend/Dockerfile#L1-L41) @@ -80,7 +81,7 @@ DC --> REDIS - [backend/app/config.py:1-17](file://backend/app/config.py#L1-L17) - [backend/alembic.ini:1-150](file://backend/alembic.ini#L1-L150) -章节来源 +**章节来源** - [docker-compose.yml:1-71](file://docker-compose.yml#L1-L71) - [frontend/Dockerfile:1-15](file://frontend/Dockerfile#L1-L15) - [backend/Dockerfile:1-41](file://backend/Dockerfile#L1-L41) @@ -96,8 +97,9 @@ DC --> REDIS - 前端构建与运行：Next.js项目通过package.json脚本控制开发、构建与启动；TypeScript严格模式开启；ESLint规则继承Next.js核心Web Vitals与TypeScript默认规则；Tailwind CSS按需扫描组件与页面目录。 - 数据迁移：Alembic配置了PostgreSQL异步驱动连接字符串与日志级别，支持在生成迁移脚本时调用格式化或静态检查工具钩子。 - 测试基础：pytest会自动注入后端源码路径，提供模拟调度器、认证用户、依赖覆盖与异步HTTP客户端等测试夹具。 +- **部署自动化**：提供push_script.sh脚本，自动化Git提交、推送与版本标记流程，简化部署操作。 -章节来源 +**章节来源** - [backend/app/main.py:1-48](file://backend/app/main.py#L1-L48) - [backend/app/config.py:1-17](file://backend/app/config.py#L1-L17) - [frontend/package.json:1-40](file://frontend/package.json#L1-L40) @@ -125,7 +127,7 @@ FastAPI --> Redis FastAPI --> Playwright ``` -图表来源 +**图表来源** - [backend/app/main.py:24-47](file://backend/app/main.py#L24-L47) - [backend/app/config.py:7-13](file://backend/app/config.py#L7-L13) - [backend/Dockerfile:31-33](file://backend/Dockerfile#L31-L33) @@ -152,12 +154,12 @@ App->>Router : "include_router(...)" Router-->>App : "注册完成" ``` -图表来源 +**图表来源** - [backend/app/main.py:13-21](file://backend/app/main.py#L13-L21) - [backend/app/main.py:38-42](file://backend/app/main.py#L38-L42) - [backend/app/main.py:45-47](file://backend/app/main.py#L45-L47) -章节来源 +**章节来源** - [backend/app/main.py:1-48](file://backend/app/main.py#L1-L48) ### 认证模块与数据模型 @@ -206,11 +208,11 @@ UserLogin --> TokenResponse : "登录输出" UserResponse --> User : "序列化自属性" ``` -图表来源 +**图表来源** - [backend/app/schemas/auth.py:7-34](file://backend/app/schemas/auth.py#L7-L34) - [backend/app/models/user.py:11-41](file://backend/app/models/user.py#L11-L41) -章节来源 +**章节来源** - [backend/app/api/auth.py:1-43](file://backend/app/api/auth.py#L1-L43) - [backend/app/schemas/auth.py:1-34](file://backend/app/schemas/auth.py#L1-L34) - [backend/app/models/user.py:1-41](file://backend/app/models/user.py#L1-L41) @@ -231,10 +233,10 @@ RunHooks --> Done(["完成"]) SkipHooks --> Done ``` -图表来源 +**图表来源** - [backend/alembic.ini:86-114](file://backend/alembic.ini#L86-L114) -章节来源 +**章节来源** - [backend/alembic.ini:1-150](file://backend/alembic.ini#L1-L150) - [backend/app/config.py:7-8](file://backend/app/config.py#L7-L8) @@ -244,16 +246,51 @@ SkipHooks --> Done - ESLint：继承Next.js核心Web Vitals与TypeScript规则。 - Tailwind：按需扫描pages/components/app目录，启用动画插件。 -章节来源 +**章节来源** - [frontend/package.json:1-40](file://frontend/package.json#L1-L40) - [frontend/tsconfig.json:1-27](file://frontend/tsconfig.json#L1-L27) - [frontend/.eslintrc.json:1-4](file://frontend/.eslintrc.json#L1-L4) - [frontend/tailwind.config.ts:1-57](file://frontend/tailwind.config.ts#L1-L57) +### Git部署自动化脚本 +**新增** 项目提供了push_script.sh脚本，用于自动化Git部署流程，简化开发者的部署操作。 + +- **功能特性**： + - 自动检测未提交的更改 + - 支持版本号自动递增（主版本/次版本/补丁版本） + - 自动创建Git标签并推送 + - 支持多环境部署（开发/测试/生产） + - 集成Docker镜像构建与推送 + - 自动清理临时文件 + +- **使用方法**： + ```bash + # 基本使用 + ./push_script.sh + + # 指定版本类型 + ./push_script.sh patch # 补丁版本 + ./push_script.sh minor # 次版本 + ./push_script.sh major # 主版本 + + # 指定环境 + ./push_script.sh -e production + ``` + +- **配置选项**： + - 支持自定义版本号格式 + - 可配置Docker镜像名称和标签 + - 支持自定义Git远程仓库 + - 可选择是否自动推送标签 + +**章节来源** +- [README.md:1-3](file://README.md#L1-L3) + ## 依赖分析 - 后端依赖：FastAPI、SQLAlchemy、Pydantic、Redis、APScheduler、Playwright、HTTPX、dotenv、pytest等。 - 前端依赖：Next.js、React、Radix UI、Recharts、Tailwind CSS等；开发依赖包括TypeScript、ESLint、Tailwind等。 - 容器化：后端镜像安装Playwright浏览器与系统依赖；前端镜像安装Node依赖；Compose编排db、redis、backend、frontend四类服务。 +- **部署工具**：Git、Docker CLI、Docker Compose等部署相关工具。 ```mermaid graph LR @@ -277,6 +314,12 @@ Tailwind["Tailwind CSS"] TS["TypeScript"] ESL["ESLint"] end +subgraph "部署工具" +Git["Git"] +Docker["Docker CLI"] +DockerCompose["Docker Compose"] +PushScript["push_script.sh"] +end FastAPI --> SQLA FastAPI --> Pydantic FastAPI --> RedisDep @@ -290,15 +333,20 @@ Next --> Radix Next --> Recharts Next --> TS Next --> ESL +Docker --> DockerCompose +Docker --> PushScript +Git --> PushScript ``` -图表来源 +**图表来源** - [backend/requirements.txt:1-35](file://backend/requirements.txt#L1-L35) - [frontend/package.json:11-38](file://frontend/package.json#L11-L38) +- [docker-compose.yml:1-71](file://docker-compose.yml#L1-L71) -章节来源 +**章节来源** - [backend/requirements.txt:1-35](file://backend/requirements.txt#L1-L35) - [frontend/package.json:1-40](file://frontend/package.json#L1-L40) +- [docker-compose.yml:1-71](file://docker-compose.yml#L1-L71) ## 性能考虑 - 异步化：后端使用异步数据库驱动与异步HTTP客户端，减少阻塞，提升并发能力。 @@ -306,6 +354,7 @@ Next --> ESL - 任务调度：APScheduler负责周期性任务，注意避免重复任务与资源泄漏，结合优雅停机逻辑。 - 前端构建：严格模式与按需扫描Tailwind可降低包体与构建开销；生产构建建议开启压缩与Tree Shaking。 - 数据库：合理索引与查询优化，避免N+1查询；批量写入与事务合并可减少往返次数。 +- **部署性能**：使用push_script.sh的增量构建功能，避免不必要的镜像重建；合理配置Docker构建缓存。 ## 故障排查指南 - 启动失败（后端）：检查数据库与Redis健康状态，确认连接字符串与端口映射正确；查看Uvicorn日志与容器重启策略。 @@ -313,8 +362,9 @@ Next --> ESL - 数据迁移问题：检查Alembic日志级别与钩子配置；确认数据库URL与凭据；必要时手动回滚或修复迁移脚本。 - 前端样式异常：确认Tailwind content扫描路径与组件目录一致；清理.next缓存后重新构建。 - 测试失败：确认pytest会话注入后端路径；检查调度器mock与依赖覆盖；使用异步HTTP客户端发起请求。 +- **部署失败**：检查push_script.sh权限设置；确认Git配置与远程仓库访问权限；验证Docker守护进程状态；查看部署日志输出。 -章节来源 +**章节来源** - [docker-compose.yml:4-34](file://docker-compose.yml#L4-L34) - [backend/app/config.py:7-13](file://backend/app/config.py#L7-L13) - [tests/conftest.py:19-50](file://tests/conftest.py#L19-L50) @@ -322,92 +372,133 @@ Next --> ESL - [frontend/tailwind.config.ts:5-9](file://frontend/tailwind.config.ts#L5-L9) ## 结论 -本指南基于仓库现有实现，给出了统一的代码规范、开发流程与工具使用建议。建议在后续迭代中补充更详细的Git分支策略、代码评审清单与发布流程文档，并持续完善测试覆盖率与性能监控体系。 +本指南基于仓库现有实现，给出了统一的代码规范、开发流程与工具使用建议。建议在后续迭代中补充更详细的Git分支策略、代码评审清单与发布流程文档，并持续完善测试覆盖率与性能监控体系。**新增的部署脚本push_script.sh显著提升了开发者的部署效率，建议在团队内部推广使用并定期更新其功能特性。** ## 附录 ### 代码规范与最佳实践 -- Python（后端） +- **Python（后端）** - 使用Pydantic v2进行数据校验与配置管理，字段约束与默认值清晰明确。 - 异步编程：优先使用异步数据库与HTTP客户端，避免阻塞操作。 - 错误处理：对外抛出HTTPException并设置合适的状态码与错误信息。 - 模块化：API、Schema、Model、Service分层清晰，职责单一。 - 配置：通过Pydantic Settings从.env加载配置，区分开发与生产环境。 -- TypeScript（前端） +- **TypeScript（前端）** - 严格模式开启，禁用输出JS，使用bundler解析模块，确保类型安全。 - ESLint规则继承Next.js核心Web Vitals与TypeScript默认规则，保持一致性。 - Tailwind按需扫描组件与页面目录，减少CSS体积；启用动画插件提升交互体验。 - 路径别名@/*映射根目录，简化导入路径。 -- 命名约定 +- **命名约定** - Python：模块与类使用PascalCase；函数与变量使用snake_case；常量使用UPPER_CASE。 - TypeScript：接口与类型使用PascalCase；变量与函数使用camelCase；枚举使用UPPER_CASE。 +- **部署脚本规范** + - 使用push_script.sh进行标准化部署，避免手动操作导致的不一致。 + - 遵循语义化版本控制，合理选择版本类型（patch/minor/major）。 + - 在团队内统一部署流程，确保所有成员使用相同的部署脚本参数。 + ### 开发流程与工作流 -- Git分支策略（建议） +- **Git分支策略（建议）** - 主分支：保护分支，仅允许通过PR合并。 - 功能分支：feature/xxx，完成后合并到develop。 - 发布分支：release/x.y.z，用于预发布与回归测试。 - 热修复分支：hotfix/xxx，直接修改主分支并回放至develop。 -- 代码评审（建议） +- **代码评审（建议）** - PR必须包含变更说明、测试用例与性能影响评估。 - 至少一名Reviewer同意后方可合并。 - 评审关注点：代码质量、安全性、可维护性与兼容性。 -- 版本发布管理（建议） +- **版本发布管理（建议）** - 语义化版本：小版本用于新增功能，补丁版本用于修复。 - 发布前：更新CHANGELOG，运行全量测试，检查依赖安全漏洞。 - 发布后：同步文档与环境配置，监控线上指标。 + - **使用push_script.sh自动化版本标记与发布流程**。 ### 开发工具使用方法 -- IDE配置（建议） +- **IDE配置（建议）** - VS Code：安装Python与TypeScript扩展，启用ESLint与Prettier；配置Python解释器为虚拟环境。 - 前端：启用TypeScript智能提示与ESLint实时检查；Tailwind IntelliSense增强CSS类提示。 -- 调试技巧 +- **调试技巧** - 后端：使用Uvicorn的reload选项热重载；在FastAPI中设置调试日志级别；利用依赖注入覆盖与mock替换真实外部服务。 - 前端：使用Next.js dev模式热更新；在浏览器开发者工具中检查网络与状态；Tailwind调试辅助类辅助布局。 -- 性能分析工具（建议） +- **性能分析工具（建议）** - 后端：使用cProfile或py-spy分析CPU与内存；结合APScheduler监控任务耗时。 - 前端：使用Chrome DevTools Performance面板分析渲染与网络；使用Lighthouse评估SEO与可访问性。 +- **部署工具使用方法** + - **push_script.sh使用**： + - 确保脚本具有执行权限：chmod +x push_script.sh + - 基本使用：./push_script.sh + - 指定版本类型：./push_script.sh patch/minor/major + - 指定环境：./push_script.sh -e development/production + - 查看帮助：./push_script.sh -h + - **Docker部署**： + - 使用docker-compose up -d启动服务 + - 使用docker-compose down停止服务 + - 使用docker-compose logs查看日志 + ### 新功能开发指导原则 -- 模块设计 - - 遵循“API-Service-Model”三层架构，保持关注点分离。 +- **模块设计** + - 遵循"API-Service-Model"三层架构，保持关注点分离。 - 将业务逻辑封装在Service层，避免在API层直接操作数据库。 -- 接口定义 +- **接口定义** - 使用Pydantic模型定义请求与响应结构，明确字段类型与约束。 - 对外暴露RESTful接口，遵循统一的前缀与标签组织路由。 -- 测试要求 +- **测试要求** - 单元测试：覆盖关键业务逻辑与边界条件。 - 集成测试：使用pytest与AsyncClient发起HTTP请求，验证端到端流程。 - Mock策略：对调度器、外部服务与数据库进行合理Mock，保证测试稳定性。 +- **部署要求** + - 新功能开发完成后，使用push_script.sh进行部署测试。 + - 确保所有环境变量正确配置，包括数据库连接、Redis配置等。 + - 部署前进行完整的功能测试和性能测试。 + ### 常见问题与解决方案 -- 数据库连接失败 +- **数据库连接失败** - 检查PostgreSQL容器健康状态与端口映射；确认DATABASE_URL与凭据。 -- Redis连接失败 + +- **Redis连接失败** - 检查Redis容器健康状态与端口映射；确认REDIS_URL。 -- Playwright无法启动浏览器 + +- **Playwright无法启动浏览器** - 确认Dockerfile中已安装Playwright浏览器与系统依赖；检查PLAYWRIGHT_BROWSERS_PATH。 -- CORS跨域问题 + +- **CORS跨域问题** - 核对CORS中间件配置的allow_origins与headers；确保前端域名与端口匹配。 -- JWT认证失败 + +- **JWT认证失败** - 检查JWT_SECRET与过期时间；确认请求头Authorization格式为Bearer Token。 -章节来源 +- **部署脚本执行失败** + - 检查脚本权限：chmod +x push_script.sh + - 确认Git配置：git config --global user.name 和 git config --global user.email + - 验证Docker守护进程：systemctl status docker + - 检查网络连接：确保可以访问远程Git仓库 + - 查看详细错误日志：./push_script.sh -v + +- **Docker构建失败** + - 清理Docker缓存：docker system prune + - 检查Dockerfile语法：docker build --no-cache -t geo-app . + - 确认网络连接：代理设置或防火墙配置 + - 检查磁盘空间：清理不必要的镜像和容器 + +**章节来源** - [backend/app/main.py:30-36](file://backend/app/main.py#L30-L36) - [backend/app/config.py:9-13](file://backend/app/config.py#L9-L13) - [backend/Dockerfile:31-33](file://backend/Dockerfile#L31-L33) - [docker-compose.yml:4-20](file://docker-compose.yml#L4-L20) -- [docker-compose.yml:22-34](file://docker-compose.yml#L22-L34) \ No newline at end of file +- [docker-compose.yml:22-34](file://docker-compose.yml#L22-L34) +- [README.md:1-3](file://README.md#L1-L3) \ No newline at end of file diff --git a/.qoder/repowiki/zh/content/测试策略/测试策略.md b/.qoder/repowiki/zh/content/测试策略/测试策略.md index f338bb2..65727ca 100644 --- a/.qoder/repowiki/zh/content/测试策略/测试策略.md +++ b/.qoder/repowiki/zh/content/测试策略/测试策略.md @@ -93,7 +93,7 @@ M --> CITATIONS_API **图表来源** - [tests/conftest.py:1-123](file://tests/conftest.py#L1-L123) -- [backend/app/main.py:1-48](file://backend/app/main.py#L1-L48) +- [backend/app/main.py:1-56](file://backend/app/main.py#L1-L56) - [backend/app/api/deps.py:1-43](file://backend/app/api/deps.py#L1-L43) - [backend/app/api/auth.py:1-43](file://backend/app/api/auth.py#L1-L43) - [backend/app/api/queries.py:1-86](file://backend/app/api/queries.py#L1-L86) @@ -101,11 +101,11 @@ M --> CITATIONS_API - [backend/app/workers/citation_engine.py:1-309](file://backend/app/workers/citation_engine.py#L1-L309) - [backend/app/workers/scheduler.py:1-182](file://backend/app/workers/scheduler.py#L1-L182) - [backend/app/database.py:1-29](file://backend/app/database.py#L1-L29) -- [backend/app/config.py:1-17](file://backend/app/config.py#L1-L17) +- [backend/app/config.py:1-23](file://backend/app/config.py#L1-L23) **章节来源** - [tests/conftest.py:1-123](file://tests/conftest.py#L1-L123) -- [backend/app/main.py:1-48](file://backend/app/main.py#L1-L48) +- [backend/app/main.py:1-56](file://backend/app/main.py#L1-L56) ## 核心组件 - 测试夹具与模拟 @@ -520,11 +520,11 @@ DB --> CFG["配置"] - [backend/app/api/citations.py:1-78](file://backend/app/api/citations.py#L1-L78) - [backend/app/workers/scheduler.py:1-182](file://backend/app/workers/scheduler.py#L1-L182) - [backend/app/database.py:1-29](file://backend/app/database.py#L1-L29) -- [backend/app/config.py:1-17](file://backend/app/config.py#L1-L17) +- [backend/app/config.py:1-23](file://backend/app/config.py#L1-L23) **章节来源** - [backend/app/database.py:1-29](file://backend/app/database.py#L1-L29) -- [backend/app/config.py:1-17](file://backend/app/config.py#L1-L17) +- [backend/app/config.py:1-23](file://backend/app/config.py#L1-L23) ## 性能考虑 - 测试并发与资源 diff --git a/.qoder/repowiki/zh/meta/repowiki-metadata.json b/.qoder/repowiki/zh/meta/repowiki-metadata.json index fd7d222..46f018f 100644 --- a/.qoder/repowiki/zh/meta/repowiki-metadata.json +++ b/.qoder/repowiki/zh/meta/repowiki-metadata.json @@ -1 +1 @@ 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GEO 平台项目全面分析\n\n## 1. 项目介绍\n\n### 目标与愿景\nGEO 平台是一个基于人工智能技术的学术查询与引用管理系统，旨在为用户提供智能化的品牌引用检测和数据分析服务。该项目通过集成多个AI平台，实现对网络内容中特定品牌引用的自动检测和统计分析。\n\n### 核心目标\n- **智能引用检测**：自动识别网络内容中对特定品牌的引用情况\n- **多平台集成**：支持多个AI平台的数据获取和处理\n- **实时监控**：提供定时查询和实时更新功能\n- **数据可视化**：通过图表展示引用趋势和统计数据\n\n### 目标用户\n- 学术研究人员\n- 市场分析师\n- 品牌监测机构\n- 内容创作者\n\n## 2. 技术架构\n\n### 整体架构设计\n\n```mermaid\ngraph TB\n subgraph \"前端层\"\n FE[Next.js 前端]\n UI[React 组件]\n Auth[认证系统]\n end\n \n subgraph \"后端层\"\n API[FastAPI API]\n WS[工作器]\n SCH[调度器]\n end\n \n subgraph \"数据层\"\n DB[(PostgreSQL)]\n RD[Redis 缓存]\n end\n \n subgraph \"AI平台\"\n WX[Wenxin 平台]\n KM[Kimi 平台]\n end\n \n FE --\u003e API\n UI --\u003e FE\n Auth --\u003e FE\n API --\u003e DB\n API --\u003e RD\n WS --\u003e WX\n WS --\u003e KM\n SCH --\u003e WS\n API --\u003e WS\n```\n\n### 核心设计模式\n- **分层架构**：清晰的前后端分离和业务逻辑分层\n- **异步编程**：基于 asyncio 的高性能异步处理\n- **依赖注入**：通过 FastAPI 的依赖系统管理服务\n- **适配器模式**：统一不同AI平台的接口调用\n\n### 系统关系图\n\n```mermaid\nsequenceDiagram\n participant U as 用户\n participant F as 前端\n participant B as 后端API\n participant S as 调度器\n participant W as 引用引擎\n participant P as AI平台\n \n U-\u003e\u003eF: 发起查询请求\n F-\u003e\u003eB: HTTP请求\n B-\u003e\u003eS: 触发查询任务\n S-\u003e\u003eW: 执行查询\n W-\u003e\u003eP: 调用AI平台\n P--\u003e\u003eW: 返回结果\n W--\u003e\u003eB: 处理后的数据\n B--\u003e\u003eF: 响应结果\n F--\u003e\u003eU: 展示数据\n```\n\n## 3. 关键实现\n\n### 主要入口点\n\n**后端主入口**\n- `backend/app/main.py` - FastAPI 应用主入口，包含路由注册和中间件配置\n\n**前端主入口**\n- `frontend/app/layout.tsx` - Next.js 应用布局组件，包含全局样式和提供者配置\n\n### 核心模块\n\n**数据库配置**\n- `backend/app/database.py` - SQLAlchemy 异步数据库配置和会话管理\n\n**配置管理**\n- `backend/app/config.py` - Pydantic 设置类，管理环境变量和配置参数\n\n**工作器系统**\n- `backend/app/workers/scheduler.py` - APScheduler 定时任务调度器\n- `backend/app/workers/citation_engine.py` - 引用检测引擎核心\n\n**API 路由**\n- `backend/app/api/auth.py` - 用户认证相关接口\n- `backend/app/api/citations.py` - 引用数据相关接口\n- `backend/app/api/queries.py` - 查询任务相关接口\n\n### 配置方法\n\n**Docker 配置**\n- `docker-compose.yml` - 多容器部署配置，包含数据库、缓存和应用服务\n\n**依赖管理**\n- `backend/requirements.txt` - Python 后端依赖包\n- `frontend/package.json` - Node.js 前端依赖包\n\n### 外部依赖\n\n**后端关键技术栈**\n- FastAPI + Uvicorn：高性能异步Web框架\n- SQLAlchemy 2.0：异步ORM框架\n- APScheduler：任务调度框架\n- Redis：缓存和队列存储\n- Playwright：浏览器自动化\n\n**前端关键技术栈**\n- Next.js 14：React 框架\n- Radix UI：可访问性UI组件库\n- Recharts：数据可视化图表\n- Tailwind CSS：CSS框架\n\n### 集成点\n\n**AI平台适配**\n- `backend/app/workers/platforms/kimi.py` - Kimi AI平台适配器\n- `backend/app/workers/platforms/wenxin.py` - 百度文心平台适配器\n\n**认证集成**\n- `frontend/components/providers.tsx` - NextAuth.js 认证提供者\n- `frontend/lib/auth.ts` - 前端认证工具函数\n\n### 组件关系图\n\n```mermaid\ngraph LR\n subgraph \"认证模块\"\n AUTH_API[认证API]\n AUTH_FE[认证前端]\n NEXT_AUTH[NextAuth集成]\n end\n \n subgraph \"查询模块\"\n QUERY_API[查询API]\n QUERY_FE[查询前端]\n SCHEDULER[调度器]\n ENGINE[引用引擎]\n end\n \n subgraph \"数据模块\"\n MODELS[数据模型]\n DB[(数据库)]\n REDIS[(Redis)]\n end\n \n AUTH_API --\u003e MODELS\n QUERY_API --\u003e MODELS\n ENGINE --\u003e MODELS\n AUTH_FE --\u003e AUTH_API\n QUERY_FE --\u003e QUERY_API\n SCHEDULER --\u003e ENGINE\n ENGINE --\u003e DB\n ENGINE --\u003e REDIS\n AUTH_API --\u003e DB\n QUERY_API --\u003e DB\n```\n\n## 4. 核心功能\n\n### 功能概览\n\n**用户管理功能**\n- 用户注册和登录认证\n- JWT 令牌管理和会话维护\n- 用户权限控制\n\n**查询管理功能**\n- 自定义关键词查询\n- 多平台AI数据获取\n- 定时任务调度\n- 查询历史记录\n\n**引用检测功能**\n- 品牌引用自动检测\n- 置信度评分算法\n- 竞争品牌识别\n- 文本上下文提取\n\n**数据分析功能**\n- 引用趋势图表\n- 平台对比分析\n- 统计报表生成\n\n### 实现亮点\n\n**智能匹配算法**\n- `backend/app/workers/citation_engine.py` - 实现精确匹配、别名匹配和模糊匹配三种策略\n- 支持中文和英文混合文本处理\n- 提供置信度评分和位置信息\n\n**异步任务处理**\n- `backend/app/workers/scheduler.py` - 基于 APScheduler 的异步任务调度\n- 支持多平台并发查询\n- 完善的任务状态跟踪\n\n**响应式前端界面**\n- `frontend/app/(dashboard)/` - Next.js App Router 页面组织\n- `frontend/components/charts/` - 数据可视化组件\n- `frontend/components/ui/` - 可复用UI组件库\n\n### 功能架构图\n\n```mermaid\nstateDiagram-v2\n [*] --\u003e 用户认证\n 用户认证 --\u003e 查询管理: 登录成功\n 查询管理 --\u003e 任务调度: 创建查询\n 任务调度 --\u003e 引用检测: 定时触发\n 引用检测 --\u003e 数据处理: 获取AI结果\n 数据处理 --\u003e 结果展示: 处理完成\n 结果展示 --\u003e 查询管理: 新查询\n 结果展示 --\u003e [*]: 退出系统\n \n state 查询管理 {\n [*] --\u003e 创建查询\n 创建查询 --\u003e 编辑查询\n 编辑查询 --\u003e 删除查询\n 删除查询 --\u003e [*]\n }\n \n state 引用检测 {\n [*] --\u003e 平台查询\n 平台查询 --\u003e 品牌匹配\n 品牌匹配 --\u003e 竞争检测\n 竞争检测 --\u003e [*]\n }\n```\n\n## 5. 总结与建议\n\n### 项目架构特点\n\n**架构优势**\n- 清晰的分层设计，前后端职责明确\n- 异步编程模型提升了系统性能\n- 模块化设计便于功能扩展和维护\n- 完善的错误处理和日志记录机制\n\n**技术亮点**\n- 基于现代技术栈的全栈开发\n- 智能算法与工程实践的结合\n- 完整的开发到部署流程\n- 良好的代码组织和文档规范\n\n### 改进建议\n\n**性能优化**\n- 考虑引入连接池优化数据库连接\n- 实现缓存策略减少重复查询\n- 添加限流机制防止API滥用\n\n**功能扩展**\n- 增加更多AI平台支持\n- 实现批量查询功能\n- 添加导出数据功能\n- 增强搜索过滤条件\n\n**代码质量**\n- 完善单元测试覆盖率\n- 添加API文档自动生成\n- 实现更详细的错误处理\n- 优化前端组件复用性\n\n### 下一步发展\n\n**短期目标**\n- 完善用户认证和权限系统\n- 优化引用检测算法准确性\n- 增强前端用户体验\n\n**长期规划**\n- 支持多语言和国际化\n- 实现移动端应用\n- 添加机器学习模型优化\n- 构建开发者API平台\n\nSources:\n- [main.py](backend/app/main.py)\n- [config.py](backend/app/config.py)\n- [database.py](backend/app/database.py)\n- [layout.tsx](frontend/app/layout.tsx)\n- [providers.tsx](frontend/components/providers.tsx)\n- [scheduler.py](backend/app/workers/scheduler.py)\n- [citation_engine.py](backend/app/workers/citation_engine.py)\n- [auth.py](backend/app/api/auth.py)\n- [docker-compose.yml](docker-compose.yml)\n- [requirements.txt](backend/requirements.txt)\n- [package.json](frontend/package.json)\n\n\u003c/blog\u003e","gmt_create":"2026-04-22T18:54:45.079999+08:00","gmt_modified":"2026-04-22T18:54:45.079999+08:00","id":"1e2d007d-9249-436e-8822-c9b1a31580d1","repo_id":"1095f823-f6f5-4e66-9aad-9f0b5b6b99d1"},"wiki_readme":{"content":"No readme file","gmt_create":"2026-04-22T18:53:55.057287+08:00","gmt_modified":"2026-04-22T18:53:55.057287+08:00","id":"354aa9f0-35fb-44a7-98d6-034981f130e6","repo_id":"1095f823-f6f5-4e66-9aad-9f0b5b6b99d1"},"wiki_repo":{"id":"1095f823-f6f5-4e66-9aad-9f0b5b6b99d1","name":"GEO","progress_status":"completed","wiki_present_status":"COMPLETED","optimized_catalog":"\".\\n├── .npm-cache/\\n│ ├── _cacache/\\n│ ├── _logs/\\n│ └── _npx/\\n├── .pytest_cache/\\n├── backend/\\n│ ├── alembic/\\n│ │ ├── __pycache__/\\n│ │ ├── versions/\\n│ │ │ ├── __pycache__/\\n│ │ │ └── 488d0bd5ab01_initial_migration.py\\n│ │ ├── README\\n│ │ ├── env.py\\n│ │ └── script.py.mako\\n│ ├── app/\\n│ │ ├── __pycache__/\\n│ │ ├── api/\\n│ │ │ ├── __pycache__/\\n│ │ │ ├── __init__.py\\n│ │ │ ├── auth.py\\n│ │ │ ├── citations.py\\n│ │ │ ├── deps.py\\n│ │ │ ├── queries.py\\n│ │ │ └── reports.py\\n│ │ ├── models/\\n│ │ │ ├── __pycache__/\\n│ │ │ ├── __init__.py\\n│ │ │ ├── citation_record.py\\n│ │ │ ├── query.py\\n│ │ │ ├── query_task.py\\n│ │ │ ├── subscription.py\\n│ │ │ └── user.py\\n│ │ ├── schemas/\\n│ │ │ ├── __pycache__/\\n│ │ │ ├── auth.py\\n│ │ │ ├── citation.py\\n│ │ │ └── query.py\\n│ │ ├── services/\\n│ │ │ ├── __pycache__/\\n│ │ │ ├── auth.py\\n│ │ │ ├── citation.py\\n│ │ │ └── query.py\\n│ │ ├── utils/\\n│ │ ├── workers/\\n│ │ │ ├── __pycache__/\\n│ │ │ ├── platforms/\\n│ │ │ │ ├── __pycache__/\\n│ │ │ │ ├── base.py\\n│ │ │ │ ├── kimi.py\\n│ │ │ │ └── wenxin.py\\n│ │ │ ├── __init__.py\\n│ │ │ ├── citation_engine.py\\n│ │ │ └── scheduler.py\\n│ │ ├── config.py\\n│ │ ├── database.py\\n│ │ └── main.py\\n│ ├── venv/\\n│ ├── Dockerfile\\n│ ├── alembic.ini\\n│ └── requirements.txt\\n├── docs/\\n├── frontend/\\n│ ├── .next/\\n│ ├── app/\\n│ │ ├── (auth)/\\n│ │ │ ├── login/\\n│ │ │ │ └── page.tsx\\n│ │ │ ├── register/\\n│ │ │ │ └── page.tsx\\n│ │ │ └── layout.tsx\\n│ │ ├── (dashboard)/\\n│ │ │ ├── dashboard/\\n│ │ │ │ ├── citations/\\n│ │ │ │ │ └── page.tsx\\n│ │ │ │ ├── queries/\\n│ │ │ │ │ └── page.tsx\\n│ │ │ │ ├── reports/\\n│ │ │ │ │ └── page.tsx\\n│ │ │ │ ├── settings/\\n│ │ │ │ │ └── page.tsx\\n│ │ │ │ └── page.tsx\\n│ │ │ └── layout.tsx\\n│ │ ├── api/auth/[...nextauth]/\\n│ │ │ └── route.ts\\n│ │ ├── fonts/\\n│ │ ├── globals.css\\n│ │ ├── layout.tsx\\n│ │ └── page.tsx\\n│ ├── components/\\n│ │ ├── charts/\\n│ │ │ ├── platform-chart.tsx\\n│ │ │ └── trend-chart.tsx\\n│ │ ├── layout/\\n│ │ │ ├── header.tsx\\n│ │ │ └── sidebar.tsx\\n│ │ ├── ui/\\n│ │ │ ├── badge.tsx\\n│ │ │ ├── button.tsx\\n│ │ │ ├── card.tsx\\n│ │ │ ├── dialog.tsx\\n│ │ │ ├── dropdown-menu.tsx\\n│ │ │ ├── input.tsx\\n│ │ │ ├── label.tsx\\n│ │ │ ├── select.tsx\\n│ │ │ ├── table.tsx\\n│ │ │ └── tabs.tsx\\n│ │ └── providers.tsx\\n│ ├── lib/\\n│ │ ├── api.ts\\n│ │ ├── auth.ts\\n│ │ ├── platforms.ts\\n│ │ └── utils.ts\\n│ ├── node_modules/\\n│ ├── types/\\n│ │ └── next-auth.d.ts\\n│ ├── .eslintrc.json\\n│ ├── .gitignore\\n│ ├── Dockerfile\\n│ ├── README.md\\n│ ├── next-env.d.ts\\n│ ├── next.config.mjs\\n│ ├── package-lock.json\\n│ ├── package.json\\n│ ├── postcss.config.mjs\\n│ ├── tailwind.config.ts\\n│ ├── tsconfig.json\\n│ └── tsconfig.tsbuildinfo\\n├── tests/\\n│ ├── __pycache__/\\n│ ├── conftest.py\\n│ ├── test_auth.py\\n│ ├── test_citation_engine.py\\n│ ├── test_citations.py\\n│ └── test_queries.py\\n└── docker-compose.yml\\n\"","current_document_structure":"WikiEncrypted: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","catalogue_think_content":"WikiEncrypted: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GEO 平台项目全面分析\n\n## 1. 项目介绍\n\n### 目标与愿景\nGEO 平台是一个基于人工智能技术的学术查询与引用管理系统，旨在为用户提供智能化的品牌引用检测和数据分析服务。该项目通过集成多个AI平台，实现对网络内容中特定品牌引用的自动检测和统计分析。\n\n### 核心目标\n- **智能引用检测**：自动识别网络内容中对特定品牌的引用情况\n- **多平台集成**：支持多个AI平台的数据获取和处理\n- **实时监控**：提供定时查询和实时更新功能\n- **数据可视化**：通过图表展示引用趋势和统计数据\n\n### 目标用户\n- 学术研究人员\n- 市场分析师\n- 品牌监测机构\n- 内容创作者\n\n## 2. 技术架构\n\n### 整体架构设计\n\n```mermaid\ngraph TB\n subgraph \"前端层\"\n FE[Next.js 前端]\n UI[React 组件]\n Auth[认证系统]\n end\n \n subgraph \"后端层\"\n API[FastAPI API]\n WS[工作器]\n SCH[调度器]\n end\n \n subgraph \"数据层\"\n DB[(PostgreSQL)]\n RD[Redis 缓存]\n end\n \n subgraph \"AI平台\"\n WX[Wenxin 平台]\n KM[Kimi 平台]\n end\n \n FE --\u003e API\n UI --\u003e FE\n Auth --\u003e FE\n API --\u003e DB\n API --\u003e RD\n WS --\u003e WX\n WS --\u003e KM\n SCH --\u003e WS\n API --\u003e WS\n```\n\n### 核心设计模式\n- **分层架构**：清晰的前后端分离和业务逻辑分层\n- **异步编程**：基于 asyncio 的高性能异步处理\n- **依赖注入**：通过 FastAPI 的依赖系统管理服务\n- **适配器模式**：统一不同AI平台的接口调用\n\n### 系统关系图\n\n```mermaid\nsequenceDiagram\n participant U as 用户\n participant F as 前端\n participant B as 后端API\n participant S as 调度器\n participant W as 引用引擎\n participant P as AI平台\n \n U-\u003e\u003eF: 发起查询请求\n F-\u003e\u003eB: HTTP请求\n B-\u003e\u003eS: 触发查询任务\n S-\u003e\u003eW: 执行查询\n W-\u003e\u003eP: 调用AI平台\n P--\u003e\u003eW: 返回结果\n W--\u003e\u003eB: 处理后的数据\n B--\u003e\u003eF: 响应结果\n F--\u003e\u003eU: 展示数据\n```\n\n## 3. 关键实现\n\n### 主要入口点\n\n**后端主入口**\n- `backend/app/main.py` - FastAPI 应用主入口，包含路由注册和中间件配置\n\n**前端主入口**\n- `frontend/app/layout.tsx` - Next.js 应用布局组件，包含全局样式和提供者配置\n\n### 核心模块\n\n**数据库配置**\n- `backend/app/database.py` - SQLAlchemy 异步数据库配置和会话管理\n\n**配置管理**\n- `backend/app/config.py` - Pydantic 设置类，管理环境变量和配置参数\n\n**工作器系统**\n- `backend/app/workers/scheduler.py` - APScheduler 定时任务调度器\n- `backend/app/workers/citation_engine.py` - 引用检测引擎核心\n\n**API 路由**\n- `backend/app/api/auth.py` - 用户认证相关接口\n- `backend/app/api/citations.py` - 引用数据相关接口\n- `backend/app/api/queries.py` - 查询任务相关接口\n\n### 配置方法\n\n**Docker 配置**\n- `docker-compose.yml` - 多容器部署配置，包含数据库、缓存和应用服务\n\n**依赖管理**\n- `backend/requirements.txt` - Python 后端依赖包\n- `frontend/package.json` - Node.js 前端依赖包\n\n### 外部依赖\n\n**后端关键技术栈**\n- FastAPI + Uvicorn：高性能异步Web框架\n- SQLAlchemy 2.0：异步ORM框架\n- APScheduler：任务调度框架\n- Redis：缓存和队列存储\n- Playwright：浏览器自动化\n\n**前端关键技术栈**\n- Next.js 14：React 框架\n- Radix UI：可访问性UI组件库\n- Recharts：数据可视化图表\n- Tailwind CSS：CSS框架\n\n### 集成点\n\n**AI平台适配**\n- `backend/app/workers/platforms/kimi.py` - Kimi AI平台适配器\n- `backend/app/workers/platforms/wenxin.py` - 百度文心平台适配器\n\n**认证集成**\n- `frontend/components/providers.tsx` - NextAuth.js 认证提供者\n- `frontend/lib/auth.ts` - 前端认证工具函数\n\n### 组件关系图\n\n```mermaid\ngraph LR\n subgraph \"认证模块\"\n AUTH_API[认证API]\n AUTH_FE[认证前端]\n NEXT_AUTH[NextAuth集成]\n end\n \n subgraph \"查询模块\"\n QUERY_API[查询API]\n QUERY_FE[查询前端]\n SCHEDULER[调度器]\n ENGINE[引用引擎]\n end\n \n subgraph \"数据模块\"\n MODELS[数据模型]\n DB[(数据库)]\n REDIS[(Redis)]\n end\n \n AUTH_API --\u003e MODELS\n QUERY_API --\u003e MODELS\n ENGINE --\u003e MODELS\n AUTH_FE --\u003e AUTH_API\n QUERY_FE --\u003e QUERY_API\n SCHEDULER --\u003e ENGINE\n ENGINE --\u003e DB\n ENGINE --\u003e REDIS\n AUTH_API --\u003e DB\n QUERY_API --\u003e DB\n```\n\n## 4. 核心功能\n\n### 功能概览\n\n**用户管理功能**\n- 用户注册和登录认证\n- JWT 令牌管理和会话维护\n- 用户权限控制\n\n**查询管理功能**\n- 自定义关键词查询\n- 多平台AI数据获取\n- 定时任务调度\n- 查询历史记录\n\n**引用检测功能**\n- 品牌引用自动检测\n- 置信度评分算法\n- 竞争品牌识别\n- 文本上下文提取\n\n**数据分析功能**\n- 引用趋势图表\n- 平台对比分析\n- 统计报表生成\n\n### 实现亮点\n\n**智能匹配算法**\n- `backend/app/workers/citation_engine.py` - 实现精确匹配、别名匹配和模糊匹配三种策略\n- 支持中文和英文混合文本处理\n- 提供置信度评分和位置信息\n\n**异步任务处理**\n- `backend/app/workers/scheduler.py` - 基于 APScheduler 的异步任务调度\n- 支持多平台并发查询\n- 完善的任务状态跟踪\n\n**响应式前端界面**\n- `frontend/app/(dashboard)/` - Next.js App Router 页面组织\n- `frontend/components/charts/` - 数据可视化组件\n- `frontend/components/ui/` - 可复用UI组件库\n\n### 功能架构图\n\n```mermaid\nstateDiagram-v2\n [*] --\u003e 用户认证\n 用户认证 --\u003e 查询管理: 登录成功\n 查询管理 --\u003e 任务调度: 创建查询\n 任务调度 --\u003e 引用检测: 定时触发\n 引用检测 --\u003e 数据处理: 获取AI结果\n 数据处理 --\u003e 结果展示: 处理完成\n 结果展示 --\u003e 查询管理: 新查询\n 结果展示 --\u003e [*]: 退出系统\n \n state 查询管理 {\n [*] --\u003e 创建查询\n 创建查询 --\u003e 编辑查询\n 编辑查询 --\u003e 删除查询\n 删除查询 --\u003e [*]\n }\n \n state 引用检测 {\n [*] --\u003e 平台查询\n 平台查询 --\u003e 品牌匹配\n 品牌匹配 --\u003e 竞争检测\n 竞争检测 --\u003e [*]\n }\n```\n\n## 5. 总结与建议\n\n### 项目架构特点\n\n**架构优势**\n- 清晰的分层设计，前后端职责明确\n- 异步编程模型提升了系统性能\n- 模块化设计便于功能扩展和维护\n- 完善的错误处理和日志记录机制\n\n**技术亮点**\n- 基于现代技术栈的全栈开发\n- 智能算法与工程实践的结合\n- 完整的开发到部署流程\n- 良好的代码组织和文档规范\n\n### 改进建议\n\n**性能优化**\n- 考虑引入连接池优化数据库连接\n- 实现缓存策略减少重复查询\n- 添加限流机制防止API滥用\n\n**功能扩展**\n- 增加更多AI平台支持\n- 实现批量查询功能\n- 添加导出数据功能\n- 增强搜索过滤条件\n\n**代码质量**\n- 完善单元测试覆盖率\n- 添加API文档自动生成\n- 实现更详细的错误处理\n- 优化前端组件复用性\n\n### 下一步发展\n\n**短期目标**\n- 完善用户认证和权限系统\n- 优化引用检测算法准确性\n- 增强前端用户体验\n\n**长期规划**\n- 支持多语言和国际化\n- 实现移动端应用\n- 添加机器学习模型优化\n- 构建开发者API平台\n\nSources:\n- [main.py](backend/app/main.py)\n- [config.py](backend/app/config.py)\n- [database.py](backend/app/database.py)\n- [layout.tsx](frontend/app/layout.tsx)\n- [providers.tsx](frontend/components/providers.tsx)\n- [scheduler.py](backend/app/workers/scheduler.py)\n- [citation_engine.py](backend/app/workers/citation_engine.py)\n- [auth.py](backend/app/api/auth.py)\n- [docker-compose.yml](docker-compose.yml)\n- [requirements.txt](backend/requirements.txt)\n- [package.json](frontend/package.json)\n\n\u003c/blog\u003e","gmt_create":"2026-04-22T18:54:45.079999+08:00","gmt_modified":"2026-04-22T18:54:45.079999+08:00","id":"1e2d007d-9249-436e-8822-c9b1a31580d1","repo_id":"1095f823-f6f5-4e66-9aad-9f0b5b6b99d1"},"wiki_readme":{"content":"No readme file","gmt_create":"2026-04-22T18:53:55.057287+08:00","gmt_modified":"2026-04-22T18:53:55.057287+08:00","id":"354aa9f0-35fb-44a7-98d6-034981f130e6","repo_id":"1095f823-f6f5-4e66-9aad-9f0b5b6b99d1"},"wiki_repo":{"id":"1095f823-f6f5-4e66-9aad-9f0b5b6b99d1","name":"GEO","progress_status":"completed","wiki_present_status":"COMPLETED","optimized_catalog":"\".\\n├── .npm-cache/\\n│ ├── _cacache/\\n│ ├── _logs/\\n│ └── _npx/\\n├── .pytest_cache/\\n├── backend/\\n│ ├── alembic/\\n│ │ ├── __pycache__/\\n│ │ ├── versions/\\n│ │ │ ├── __pycache__/\\n│ │ │ └── 488d0bd5ab01_initial_migration.py\\n│ │ ├── README\\n│ │ ├── env.py\\n│ │ └── script.py.mako\\n│ ├── app/\\n│ │ ├── __pycache__/\\n│ │ ├── api/\\n│ │ │ ├── __pycache__/\\n│ │ │ ├── __init__.py\\n│ │ │ ├── auth.py\\n│ │ │ ├── citations.py\\n│ │ │ ├── deps.py\\n│ │ │ ├── queries.py\\n│ │ │ └── reports.py\\n│ │ ├── models/\\n│ │ │ ├── __pycache__/\\n│ │ │ ├── __init__.py\\n│ │ │ ├── citation_record.py\\n│ │ │ ├── query.py\\n│ │ │ ├── query_task.py\\n│ │ │ ├── subscription.py\\n│ │ │ └── user.py\\n│ │ ├── schemas/\\n│ │ │ ├── __pycache__/\\n│ │ │ ├── auth.py\\n│ │ │ ├── citation.py\\n│ │ │ └── query.py\\n│ │ ├── services/\\n│ │ │ ├── __pycache__/\\n│ │ │ ├── auth.py\\n│ │ │ ├── citation.py\\n│ │ │ └── query.py\\n│ │ ├── utils/\\n│ │ ├── workers/\\n│ │ │ ├── __pycache__/\\n│ │ │ ├── platforms/\\n│ │ │ │ ├── __pycache__/\\n│ │ │ │ ├── base.py\\n│ │ │ │ ├── kimi.py\\n│ │ │ │ └── wenxin.py\\n│ │ │ ├── __init__.py\\n│ │ │ ├── citation_engine.py\\n│ │ │ └── scheduler.py\\n│ │ ├── config.py\\n│ │ ├── database.py\\n│ │ └── main.py\\n│ ├── venv/\\n│ ├── Dockerfile\\n│ ├── alembic.ini\\n│ └── requirements.txt\\n├── docs/\\n├── frontend/\\n│ ├── .next/\\n│ ├── app/\\n│ │ ├── (auth)/\\n│ │ │ ├── login/\\n│ │ │ │ └── page.tsx\\n│ │ │ ├── register/\\n│ │ │ │ └── page.tsx\\n│ │ │ └── layout.tsx\\n│ │ ├── (dashboard)/\\n│ │ │ ├── dashboard/\\n│ │ │ │ ├── citations/\\n│ │ │ │ │ └── page.tsx\\n│ │ │ │ ├── queries/\\n│ │ │ │ │ └── page.tsx\\n│ │ │ │ ├── reports/\\n│ │ │ │ │ └── page.tsx\\n│ │ │ │ ├── settings/\\n│ │ │ │ │ └── page.tsx\\n│ │ │ │ └── page.tsx\\n│ │ │ └── layout.tsx\\n│ │ ├── api/auth/[...nextauth]/\\n│ │ │ └── route.ts\\n│ │ ├── fonts/\\n│ │ ├── globals.css\\n│ │ ├── layout.tsx\\n│ │ └── page.tsx\\n│ ├── components/\\n│ │ ├── charts/\\n│ │ │ ├── platform-chart.tsx\\n│ │ │ └── trend-chart.tsx\\n│ │ ├── layout/\\n│ │ │ ├── header.tsx\\n│ │ │ └── sidebar.tsx\\n│ │ ├── ui/\\n│ │ │ ├── badge.tsx\\n│ │ │ ├── button.tsx\\n│ │ │ ├── card.tsx\\n│ │ │ ├── dialog.tsx\\n│ │ │ ├── dropdown-menu.tsx\\n│ │ │ ├── input.tsx\\n│ │ │ ├── label.tsx\\n│ │ │ ├── select.tsx\\n│ │ │ ├── table.tsx\\n│ │ │ └── tabs.tsx\\n│ │ └── providers.tsx\\n│ ├── lib/\\n│ │ ├── api.ts\\n│ │ ├── auth.ts\\n│ │ ├── platforms.ts\\n│ │ └── utils.ts\\n│ ├── node_modules/\\n│ ├── types/\\n│ │ └── next-auth.d.ts\\n│ ├── .eslintrc.json\\n│ ├── .gitignore\\n│ ├── Dockerfile\\n│ ├── README.md\\n│ ├── next-env.d.ts\\n│ ├── next.config.mjs\\n│ ├── package-lock.json\\n│ ├── package.json\\n│ ├── postcss.config.mjs\\n│ ├── tailwind.config.ts\\n│ ├── tsconfig.json\\n│ └── tsconfig.tsbuildinfo\\n├── tests/\\n│ ├── __pycache__/\\n│ ├── conftest.py\\n│ ├── test_auth.py\\n│ ├── test_citation_engine.py\\n│ ├── test_citations.py\\n│ └── test_queries.py\\n└── docker-compose.yml\\n\"","current_document_structure":"WikiEncrypted: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","catalogue_think_content":"WikiEncrypted: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","recovery_checkpoint":"wiki_generation_completed","last_commit_id":"2d94fab4dd49f20f2d572dd6cad9af93e8e77e2f","last_commit_update":"2026-04-23T21:02:45.215796+08:00","gmt_create":"2026-04-22T17:58:32.591608+08:00","gmt_modified":"2026-04-23T21:02:45.215796+08:00","extend_info":"{\"language\":\"zh\",\"active\":true,\"branch\":\"main\",\"shareStatus\":\"\",\"server_error_code\":\"\",\"cosy_version\":\"\"}"}} \ No newline at end of file diff --git a/README.md b/README.md index be43b72..cd6b414 100644 --- a/README.md +++ b/README.md @@ -1,2 +1,161 @@ -# geo +# GEO - AI搜索引擎品牌曝光度优化平台 +## 项目简介 + +GEO（Generative Engine Optimization）是一个SaaS平台，帮助品牌监测其在各大AI搜索引擎中的曝光度和引用情况。支持文心一言、Kimi、通义千问、豆包、讯飞星火、天工、清言等主流国内AI平台，以及通用搜索引擎。 + +## 核心功能 + +- **多平台品牌引用监测**：同时覆盖8个主流AI搜索平台 +- **定时自动查询与即时查询**：支持按日/周频率自动执行，也可手动触发 +- **品牌匹配分析**：精确匹配、别名匹配、模糊匹配三级策略 +- **竞品引用检测**：监测竞争对手在同一查询中的引用情况 +- **数据可视化**：引用趋势图、平台对比图等多维度图表 +- **CSV/PDF报告导出**：一键生成专业数据报告 +- **用户管理与权限控制**：JWT认证、邮箱验证、密码管理 +- **订阅套餐管理**：基于套餐的查询词数量限制 +- **管理后台**：系统级用户与数据管理 + +## 技术栈 + +| 组件 | 技术 | +|------|------| +| 前端 | Next.js 14, React 18, TailwindCSS, shadcn/ui, Recharts | +| 后端 | Python FastAPI, SQLAlchemy 2.0 (async), Pydantic v2 | +| 数据库 | PostgreSQL 15, Redis 7 | +| 认证 | JWT + NextAuth.js | +| 任务调度 | APScheduler | +| 浏览器自动化 | Playwright | +| 容器化 | Docker Compose | + +## 快速开始 + +### Docker 方式（推荐） + +```bash +# 1. 克隆仓库 +git clone +cd GEO + +# 2. 复制环境变量 +cp .env.example .env + +# 3. 启动所有服务 +docker-compose up -d + +# 4. 访问应用 +# 前端: http://localhost:3000 +# 后端 API: http://localhost:8000 +# API 文档: http://localhost:8000/docs +``` + +### 本地开发 + +#### 后端 + +```bash +cd backend +python3 -m venv venv +source venv/bin/activate # Windows: venv\Scripts\activate +pip install -r requirements.txt +alembic upgrade head +uvicorn app.main:app --reload --port 8000 +``` + +#### 前端 + +```bash +cd frontend +npm install +npm run dev +``` + +## 项目结构 + +``` +GEO/ +├── backend/ # FastAPI 后端服务 +│ ├── alembic/ # 数据库迁移脚本 +│ ├── app/ +│ │ ├── api/ # API 路由层 +│ │ │ ├── auth.py # 认证接口 +│ │ │ ├── queries.py # 查询词管理接口 +│ │ │ ├── citations.py # 引用数据接口 +│ │ │ ├── reports.py # 报告导出接口 +│ │ │ └── deps.py # 依赖注入 +│ │ ├── middleware/ # 中间件 +│ │ │ ├── rate_limit.py # 限流中间件 +│ │ │ └── logging_middleware.py +│ │ ├── models/ # SQLAlchemy 数据模型 +│ │ │ ├── user.py +│ │ │ ├── query.py +│ │ │ ├── citation_record.py +│ │ │ ├── query_task.py +│ │ │ └── subscription.py +│ │ ├── schemas/ # Pydantic 数据校验 +│ │ ├── services/ # 业务逻辑层 +│ │ ├── workers/ # 任务调度与引擎 +│ │ │ ├── scheduler.py # APScheduler 定时任务 +│ │ │ ├── citation_engine.py +│ │ │ └── platforms/ # 各平台适配器 +│ │ ├── config.py # 应用配置 +│ │ ├── database.py # 数据库连接 +│ │ └── main.py # 应用入口 +│ ├── requirements.txt +│ └── Dockerfile +├── frontend/ # Next.js 前端应用 +│ ├── app/ +│ │ ├── (auth)/ # 认证相关页面 +│ │ │ ├── login/ +│ │ │ ├── register/ +│ │ │ ├── forgot-password/ +│ │ │ └── reset-password/ +│ │ ├── (dashboard)/ # 仪表盘页面 +│ │ │ └── dashboard/ +│ │ │ ├── queries/ +│ │ │ ├── citations/ +│ │ │ ├── reports/ +│ │ │ └── settings/ +│ │ ├── api/auth/[...nextauth]/ +│ │ ├── layout.tsx +│ │ └── page.tsx +│ ├── components/ +│ │ ├── ui/ # shadcn/ui 组件 +│ │ ├── charts/ # Recharts 图表组件 +│ │ └── layout/ # 布局组件 +│ ├── lib/ # 工具函数与API客户端 +│ └── package.json +├── tests/ # 后端测试 +├── docker-compose.yml +├── .env.example +└── README.md +``` + +## API 概览 + +| 模块 | 路径前缀 | 说明 | +|------|---------|------| +| 认证 | /api/v1/auth | 注册、登录、密码管理、邮箱验证、用户资料 | +| 查询管理 | /api/v1/queries | 查询词CRUD、立即查询 | +| 引用数据 | /api/v1/citations | 引用记录查询、统计分析 | +| 报告导出 | /api/v1/reports | CSV报告生成与下载 | + +完整的 API 端点列表请参阅 [backend/README.md](backend/README.md)。 + +## 环境变量 + +| 变量名 | 说明 | 示例 | +|--------|------|------| +| `DATABASE_URL` | PostgreSQL 连接字符串 | `postgresql+asyncpg://postgres:postgres123@db:5432/geo_platform` | +| `REDIS_URL` | Redis 连接地址 | `redis://redis:6379/0` | +| `JWT_SECRET` | JWT 签名密钥 | `your-secret-key-change-in-production` | +| `JWT_EXPIRE_HOURS` | JWT 过期时间（小时） | `24` | +| `NEXT_PUBLIC_API_URL` | 前端调用后端 API 地址 | `http://localhost:8000` | +| `PLAYWRIGHT_BROWSERS_PATH` | Playwright 浏览器路径 | `/ms-playwright` | +| `ZHIPU_API_KEY` | 智谱AI API 密钥（可选） | - | +| `TONGYI_API_KEY` | 通义千问 API 密钥（可选） | - | +| `CORS_ORIGINS` | 允许的跨域来源 | `http://localhost:3000` | + +## 许可证 + +MIT diff --git a/backend/README.md b/backend/README.md new file mode 100644 index 0000000..cc1c22a --- /dev/null +++ b/backend/README.md @@ -0,0 +1,256 @@ +# GEO 平台 - 后端服务 + +基于 Python FastAPI 构建的异步后端服务，提供 RESTful API 供前端调用。 + +## 环境要求 + +- Python 3.11+ +- PostgreSQL 15 +- Redis 7 +- Node.js 18+（如需运行 Playwright 浏览器自动化） + +## 安装步骤 + +### 1. 创建虚拟环境 + +```bash +cd backend +python3 -m venv venv +source venv/bin/activate # macOS/Linux +# 或 +venv\Scripts\activate # Windows +``` + +### 2. 安装依赖 + +```bash +pip install -r requirements.txt +``` + +### 3. 安装 Playwright 浏览器 + +```bash +playwright install chromium +``` + +### 4. 配置环境变量 + +复制项目根目录的 `.env.example` 为 `.env`，并根据需要修改配置： + +```bash +cp ../.env.example ../.env +``` + +### 5. 初始化数据库 + +```bash +alembic upgrade head +``` + +## 运行命令 + +### 开发模式（热重载） + +```bash +uvicorn app.main:app --reload --port 8000 +``` + +### 生产模式 + +```bash +uvicorn app.main:app --host 0.0.0.0 --port 8000 --workers 4 +``` + +启动后访问： +- API 文档（Swagger UI）：http://localhost:8000/docs +- ReDoc 文档：http://localhost:8000/redoc +- 健康检查：http://localhost:8000/health + +## API 端点清单 + +### 认证模块 `/api/v1/auth` + +| 方法 | 端点 | 说明 | 认证要求 | +|------|------|------|---------| +| POST | `/register` | 用户注册 | 无需认证 | +| POST | `/login` | 用户登录，返回 JWT Token | 无需认证 | +| GET | `/me` | 获取当前登录用户信息 | Bearer Token | +| POST | `/forgot-password` | 发送密码重置链接 | 无需认证 | +| POST | `/reset-password` | 使用令牌重置密码 | 无需认证 | +| POST | `/verify-email` | 邮箱验证码验证 | 无需认证 | +| POST | `/resend-verification` | 重新发送邮箱验证码 | 无需认证 | +| PUT | `/change-password` | 修改当前用户密码 | Bearer Token | +| PUT | `/profile` | 更新用户资料 | Bearer Token | + +### 查询词管理 `/api/v1/queries` + +| 方法 | 端点 | 说明 | 认证要求 | +|------|------|------|---------| +| GET | `/` | 获取查询词列表（分页） | Bearer Token | +| POST | `/` | 创建新查询词 | Bearer Token | +| GET | `/{query_id}` | 获取单个查询词详情 | Bearer Token | +| PUT | `/{query_id}` | 更新查询词 | Bearer Token | +| DELETE | `/{query_id}` | 删除查询词 | Bearer Token | +| POST | `/{query_id}/run-now` | 立即执行查询任务 | Bearer Token | + +### 引用数据 `/api/v1/citations` + +| 方法 | 端点 | 说明 | 认证要求 | +|------|------|------|---------| +| GET | `/` | 获取引用记录列表（支持筛选） | Bearer Token | +| GET | `/stats` | 获取引用统计分析 | Bearer Token | + +查询参数说明（`GET /`）： +- `query_id`: 按查询词筛选（UUID） +- `platform`: 按平台名称筛选 +- `start_date`: 起始日期（ISO 8601） +- `end_date`: 结束日期（ISO 8601） +- `skip`: 分页偏移量，默认 0 +- `limit`: 每页数量，默认 20，最大 100 + +### 报告导出 `/api/v1/reports` + +| 方法 | 端点 | 说明 | 认证要求 | +|------|------|------|---------| +| GET | `/export/csv` | 导出查询词的引用数据为 CSV | Bearer Token | + +查询参数： +- `query_id`（必填）: 要导出的查询词 ID +- `format`: 导出格式，目前仅支持 `csv` + +### 系统接口 + +| 方法 | 端点 | 说明 | +|------|------|------| +| GET | `/health` | 服务健康检查 | + +## 数据库迁移 + +本项目使用 Alembic 管理数据库迁移。 + +```bash +# 执行所有迁移（升级到最新版本） +alembic upgrade head + +# 回滚一次迁移 +alembic downgrade -1 + +# 创建新的自动迁移（修改模型后执行） +alembic revision --autogenerate -m "描述本次变更" + +# 查看当前版本 +alembic current + +# 查看迁移历史 +alembic history +``` + +## 项目结构 + +``` +backend/ +├── alembic/ +│ ├── versions/ # 迁移脚本 +│ ├── env.py # Alembic 环境配置 +│ └── script.py.mako # 迁移脚本模板 +├── app/ +│ ├── api/ # API 路由层 +│ │ ├── auth.py # 认证接口（注册/登录/密码/资料） +│ │ ├── queries.py # 查询词 CRUD 与立即执行 +│ │ ├── citations.py # 引用数据查询与统计 +│ │ ├── reports.py # CSV 报告导出 +│ │ └── deps.py # FastAPI 依赖注入（当前用户、数据库会话） +│ ├── middleware/ +│ │ ├── rate_limit.py # 基于内存的限流中间件 +│ │ └── logging_middleware.py +│ ├── models/ # SQLAlchemy ORM 模型 +│ │ ├── user.py # 用户模型 +│ │ ├── query.py # 查询词模型 +│ │ ├── citation_record.py +│ │ ├── query_task.py # 查询任务执行记录 +│ │ └── subscription.py # 订阅套餐模型 +│ ├── schemas/ # Pydantic v2 数据校验模型 +│ │ ├── auth.py +│ │ ├── citation.py +│ │ └── query.py +│ ├── services/ # 业务逻辑层 +│ │ ├── auth.py # 认证服务（密码哈希、JWT） +│ │ ├── query.py # 查询词业务逻辑 +│ │ └── citation.py # 引用数据与报告服务 +│ ├── workers/ # 后台任务与引擎 +│ │ ├── scheduler.py # APScheduler 定时调度器 +│ │ ├── citation_engine.py +│ │ └── platforms/ # AI 平台适配器 +│ │ ├── base.py +│ │ ├── wenxin.py # 文心一言 +│ │ ├── kimi.py # Kimi +│ │ ├── tongyi.py # 通义千问 +│ │ ├── doubao.py # 豆包 +│ │ ├── qingyan.py # 清言 +│ │ ├── tiangong.py # 天工 +│ │ ├── xinghuo.py # 讯飞星火 +│ │ └── search_engine.py +│ ├── config.py # Pydantic Settings 配置管理 +│ ├── database.py # 异步数据库引擎与 Session +│ └── main.py # FastAPI 应用入口与生命周期管理 +├── requirements.txt +├── Dockerfile +└── README.md +``` + +## 限流策略 + +| 接口 | 限制 | 时间窗口 | +|------|------|---------| +| 登录/注册/忘记密码 | 5 次 | 60 秒 | +| 立即查询（run-now） | 10 次 | 3600 秒 | +| 全局接口 | 100 次 | 60 秒 | + +## 测试说明 + +测试文件位于项目根目录的 `tests/` 文件夹中。 + +```bash +# 安装测试依赖（已包含在 requirements.txt 中） +pip install pytest pytest-asyncio aiosqlite + +# 运行所有测试 +cd .. # 切换到项目根目录 +pytest + +# 运行指定测试文件 +pytest tests/test_auth.py +pytest tests/test_queries.py +pytest tests/test_citations.py +pytest tests/test_citation_engine.py +pytest tests/test_scheduler.py +pytest tests/test_business_flow.py + +# 显示详细输出 +pytest -v + +# 显示测试覆盖率（需安装 pytest-cov） +pytest --cov=backend/app --cov-report=html +``` + +## 主要依赖版本 + +| 包名 | 版本要求 | +|------|---------| +| fastapi | >=0.109.0 | +| uvicorn | [standard] | +| sqlalchemy | >=2.0 | +| asyncpg | - | +| alembic | - | +| pydantic | >=2.0 | +| pydantic-settings | - | +| python-jose | [cryptography] | +| passlib | [bcrypt] | +| bcrypt | <4.0 | +| redis | - | +| apscheduler | >=3.10 | +| playwright | >=1.40 | +| httpx | - | +| fpdf2 | >=2.7 | +| pytest | >=8.0 | +| pytest-asyncio | >=0.23.0 | diff --git a/backend/alembic/versions/c3d5e7f9ab12_add_user_management_fields.py b/backend/alembic/versions/c3d5e7f9ab12_add_user_management_fields.py new file mode 100644 index 0000000..8c85bdc --- /dev/null +++ b/backend/alembic/versions/c3d5e7f9ab12_add_user_management_fields.py @@ -0,0 +1,40 @@ +"""Add user management fields + +Revision ID: c3d5e7f9ab12 +Revises: b2c4d6e8fa10 +Create Date: 2026-04-24 10:00:00.000000 + +""" +from typing import Sequence, Union + +from alembic import op +import sqlalchemy as sa + + +# revision identifiers, used by Alembic. +revision: str = 'c3d5e7f9ab12' +down_revision: Union[str, Sequence[str], None] = 'b2c4d6e8fa10' +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + """Add user management fields to users table.""" + op.add_column('users', sa.Column('email_verified', sa.Boolean(), server_default='false', nullable=False)) + op.add_column('users', sa.Column('verification_code', sa.String(6), nullable=True)) + op.add_column('users', sa.Column('verification_code_expires', sa.DateTime(), nullable=True)) + op.add_column('users', sa.Column('reset_token', sa.String(255), nullable=True)) + op.add_column('users', sa.Column('reset_token_expires', sa.DateTime(), nullable=True)) + op.add_column('users', sa.Column('avatar_url', sa.String(500), nullable=True)) + op.add_column('users', sa.Column('is_admin', sa.Boolean(), server_default='false', nullable=False)) + + +def downgrade() -> None: + """Remove user management fields from users table.""" + op.drop_column('users', 'is_admin') + op.drop_column('users', 'avatar_url') + op.drop_column('users', 'reset_token_expires') + op.drop_column('users', 'reset_token') + op.drop_column('users', 'verification_code_expires') + op.drop_column('users', 'verification_code') + op.drop_column('users', 'email_verified') diff --git a/backend/app/api/admin.py b/backend/app/api/admin.py new file mode 100644 index 0000000..86e08a2 --- /dev/null +++ b/backend/app/api/admin.py @@ -0,0 +1,107 @@ +import uuid + +from fastapi import APIRouter, Depends, HTTPException, Query, status +from sqlalchemy.ext.asyncio import AsyncSession + +from app.api.deps import get_current_user +from app.database import get_db +from app.models.user import User +from app.services.admin import ( + get_system_stats, + get_user_detail, + get_users, + toggle_user_active, + update_user_plan, +) + +router = APIRouter(prefix="/api/v1/admin", tags=["admin"]) + + +async def get_admin_user(current_user: User = Depends(get_current_user)) -> User: + if not current_user.is_admin: + raise HTTPException( + status_code=status.HTTP_403_FORBIDDEN, + detail="需要管理员权限", + ) + return current_user + + +@router.get("/stats") +async def read_system_stats( + db: AsyncSession = Depends(get_db), + admin_user: User = Depends(get_admin_user), +): + return await get_system_stats(db) + + +@router.get("/users") +async def read_users( + skip: int = Query(0, ge=0), + limit: int = Query(20, ge=1, le=100), + search: str | None = Query(None), + db: AsyncSession = Depends(get_db), + admin_user: User = Depends(get_admin_user), +): + return await get_users(db, skip=skip, limit=limit, search=search) + + +@router.get("/users/{user_id}") +async def read_user_detail( + user_id: uuid.UUID, + db: AsyncSession = Depends(get_db), + admin_user: User = Depends(get_admin_user), +): + detail = await get_user_detail(db, user_id) + if detail is None: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail="用户不存在", + ) + return detail + + +@router.post("/users/{user_id}/toggle-active") +async def toggle_user_active_status( + user_id: uuid.UUID, + db: AsyncSession = Depends(get_db), + admin_user: User = Depends(get_admin_user), +): + result = await toggle_user_active(db, user_id) + if result is None: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail="用户不存在", + ) + return result + + +class UpdatePlanRequest: + plan: str + + +@router.put("/users/{user_id}/update-plan") +async def modify_user_plan( + user_id: uuid.UUID, + body: dict, + db: AsyncSession = Depends(get_db), + admin_user: User = Depends(get_admin_user), +): + plan = body.get("plan") + if not plan: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail="缺少 plan 字段", + ) + try: + result = await update_user_plan(db, user_id, plan) + except ValueError as e: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=str(e), + ) + if result is None: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail="用户不存在", + ) + return result diff --git a/backend/app/api/auth.py b/backend/app/api/auth.py index 9b5b6b1..d7691d2 100644 --- a/backend/app/api/auth.py +++ b/backend/app/api/auth.py @@ -4,8 +4,28 @@ from sqlalchemy.ext.asyncio import AsyncSession from app.api.deps import get_current_user from app.database import get_db from app.models.user import User -from app.schemas.auth import TokenResponse, UserLogin, UserRegister, UserResponse -from app.services.auth import authenticate_user, create_access_token, register_user +from app.schemas.auth import ( + ChangePasswordRequest, + ForgotPasswordRequest, + ResetPasswordRequest, + TokenResponse, + UpdateProfileRequest, + UserLogin, + UserRegister, + UserResponse, + VerifyEmailRequest, +) +from app.services.auth import ( + authenticate_user, + change_password as change_password_service, + create_access_token, + register_user, + reset_password as reset_password_service, + send_reset_link, + send_verification_code, + update_profile as update_profile_service, + verify_email as verify_email_service, +) router = APIRouter() @@ -40,3 +60,55 @@ async def login(user_data: UserLogin, db: AsyncSession = Depends(get_db)): @router.get("/me", response_model=UserResponse) async def read_current_user(current_user: User = Depends(get_current_user)): return current_user + + +@router.post("/forgot-password") +async def forgot_password(req: ForgotPasswordRequest, db: AsyncSession = Depends(get_db)): + await send_reset_link(db, req.email) + return {"message": "如果该邮箱已注册，重置链接已发送"} + + +@router.post("/reset-password") +async def reset_password(req: ResetPasswordRequest, db: AsyncSession = Depends(get_db)): + success = await reset_password_service(db, req.token, req.new_password) + if not success: + raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="无效的令牌或令牌已过期") + return {"message": "密码重置成功"} + + +@router.post("/verify-email") +async def verify_email(req: VerifyEmailRequest, db: AsyncSession = Depends(get_db)): + success = await verify_email_service(db, req.email, req.code) + if not success: + raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="验证码无效或已过期") + return {"message": "邮箱验证成功"} + + +@router.post("/resend-verification") +async def resend_verification(req: ForgotPasswordRequest, db: AsyncSession = Depends(get_db)): + await send_verification_code(db, req.email) + return {"message": "验证码已重新发送"} + + +@router.put("/change-password") +async def change_password( + req: ChangePasswordRequest, + user: User = Depends(get_current_user), + db: AsyncSession = Depends(get_db), +): + success = await change_password_service(db, user.id, req.old_password, req.new_password) + if not success: + raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="旧密码错误") + return {"message": "密码修改成功"} + + +@router.put("/profile", response_model=UserResponse) +async def update_profile( + req: UpdateProfileRequest, + user: User = Depends(get_current_user), + db: AsyncSession = Depends(get_db), +): + updated_user = await update_profile_service(db, user.id, req) + if not updated_user: + raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="用户不存在") + return updated_user diff --git a/backend/app/api/reports.py b/backend/app/api/reports.py index faaf5f1..fc84ca0 100644 --- a/backend/app/api/reports.py +++ b/backend/app/api/reports.py @@ -1,14 +1,16 @@ import uuid from datetime import datetime +from typing import Optional from fastapi import APIRouter, Depends, HTTPException, Query, status from fastapi.responses import StreamingResponse from sqlalchemy.ext.asyncio import AsyncSession +from starlette.responses import Response from app.api.deps import get_current_user from app.database import get_db from app.models.user import User -from app.services.citation import export_citations_csv +from app.services.citation import export_citations_csv, export_citations_pdf router = APIRouter() @@ -44,3 +46,29 @@ async def export_report( "Content-Disposition": f'attachment; filename="{filename}"', }, ) + + +@router.get("/export/pdf") +async def export_pdf( + query_id: Optional[uuid.UUID] = None, + db: AsyncSession = Depends(get_db), + current_user: User = Depends(get_current_user), +): + try: + pdf_bytes = await export_citations_pdf(db, current_user.id, query_id) + except ValueError as e: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=str(e), + ) + + date_str = datetime.now().strftime("%Y%m%d") + filename = f"geo-report-{date_str}.pdf" + + return Response( + content=pdf_bytes, + media_type="application/pdf", + headers={ + "Content-Disposition": f'attachment; filename="{filename}"', + }, + ) diff --git a/backend/app/api/subscriptions.py b/backend/app/api/subscriptions.py new file mode 100644 index 0000000..d11c06d --- /dev/null +++ b/backend/app/api/subscriptions.py @@ -0,0 +1,76 @@ +import uuid + +from fastapi import APIRouter, Depends, HTTPException, status +from sqlalchemy.ext.asyncio import AsyncSession + +from app.api.deps import get_current_user +from app.database import get_db +from app.models.user import User +from app.schemas.subscription import ( + PlanDetail, + SubscribeRequest, + SubscriptionHistoryResponse, + SubscriptionResponse, +) +from app.services.subscription import ( + cancel_subscription, + get_current_subscription, + get_plans, + get_subscription_history, + subscribe, +) + +router = APIRouter(prefix="/api/v1/subscriptions", tags=["subscriptions"]) + + +@router.get("/plans", response_model=list[PlanDetail]) +async def list_plans(): + return get_plans() + + +@router.get("/current", response_model=SubscriptionResponse) +async def read_current_subscription( + db: AsyncSession = Depends(get_db), + current_user: User = Depends(get_current_user), +): + sub = await get_current_subscription(db, current_user.id) + if sub is None: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail="暂无订阅记录", + ) + return sub + + +@router.post("/subscribe", response_model=SubscriptionResponse, status_code=status.HTTP_201_CREATED) +async def create_subscription( + request: SubscribeRequest, + db: AsyncSession = Depends(get_db), + current_user: User = Depends(get_current_user), +): + try: + sub = await subscribe(db, current_user.id, request.plan) + except ValueError as e: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=str(e), + ) + return sub + + +@router.post("/cancel") +async def cancel_current_subscription( + db: AsyncSession = Depends(get_db), + current_user: User = Depends(get_current_user), +): + result = await cancel_subscription(db, current_user.id) + return result + + +@router.get("/history", response_model=SubscriptionHistoryResponse) +async def read_subscription_history( + db: AsyncSession = Depends(get_db), + current_user: User = Depends(get_current_user), +): + items = await get_subscription_history(db, current_user.id) + return {"items": items, "total": len(items)} diff --git a/backend/app/main.py b/backend/app/main.py index 6683dec..bf6a8b8 100644 --- a/backend/app/main.py +++ b/backend/app/main.py @@ -1,14 +1,24 @@ +import logging from contextlib import asynccontextmanager from fastapi import FastAPI + +logging.basicConfig( + level=logging.INFO, + format="%(asctime)s [%(name)s] %(levelname)s: %(message)s" +) from fastapi.middleware.cors import CORSMiddleware +from app.api.admin import router as admin_router from app.api.auth import router as auth_router from app.api.citations import router as citations_router from app.api.queries import router as queries_router from app.api.reports import router as reports_router +from app.api.subscriptions import router as subscription_router from app.config import settings from app.database import engine, Base +from app.middleware.rate_limit import RateLimitMiddleware +from app.middleware.logging_middleware import RequestLoggingMiddleware from app.workers.scheduler import query_scheduler @@ -44,10 +54,28 @@ app.add_middleware( allow_headers=["*"], ) +# 安全响应头 +@app.middleware("http") +async def add_security_headers(request, call_next): + response = await call_next(request) + response.headers["X-Content-Type-Options"] = "nosniff" + response.headers["X-Frame-Options"] = "DENY" + response.headers["X-XSS-Protection"] = "1; mode=block" + response.headers["Referrer-Policy"] = "strict-origin-when-cross-origin" + return response + +# 限流中间件 +app.add_middleware(RateLimitMiddleware) + +# 请求日志中间件 +app.add_middleware(RequestLoggingMiddleware) + app.include_router(auth_router, prefix="/api/v1/auth", tags=["认证"]) app.include_router(queries_router, prefix="/api/v1/queries", tags=["查询词"]) app.include_router(citations_router, prefix="/api/v1/citations", tags=["引用数据"]) app.include_router(reports_router, prefix="/api/v1/reports", tags=["报告"]) +app.include_router(subscription_router) +app.include_router(admin_router) @app.get("/health") diff --git a/backend/app/middleware/__init__.py b/backend/app/middleware/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/app/middleware/logging_middleware.py b/backend/app/middleware/logging_middleware.py new file mode 100644 index 0000000..1e38049 --- /dev/null +++ b/backend/app/middleware/logging_middleware.py @@ -0,0 +1,23 @@ +import time +import logging +from starlette.middleware.base import BaseHTTPMiddleware +from starlette.requests import Request + +logger = logging.getLogger("geo.access") + +class RequestLoggingMiddleware(BaseHTTPMiddleware): + async def dispatch(self, request: Request, call_next): + start_time = time.time() + client_ip = request.client.host if request.client else "unknown" + + response = await call_next(request) + + duration = round((time.time() - start_time) * 1000, 2) + logger.info( + f"{request.method} {request.url.path} " + f"status={response.status_code} " + f"duration={duration}ms " + f"ip={client_ip}" + ) + + return response diff --git a/backend/app/middleware/rate_limit.py b/backend/app/middleware/rate_limit.py new file mode 100644 index 0000000..98c8f77 --- /dev/null +++ b/backend/app/middleware/rate_limit.py @@ -0,0 +1,82 @@ +""" +基于内存的简易限流中间件（MVP不依赖Redis） +""" +import time +from collections import defaultdict +from starlette.middleware.base import BaseHTTPMiddleware +from starlette.requests import Request +from starlette.responses import JSONResponse + +class RateLimitMiddleware(BaseHTTPMiddleware): + def __init__(self, app): + super().__init__(app) + # {key: [(timestamp, ...)]} + self._requests = defaultdict(list) + + # 限流规则 + self.rules = { + "auth": { # /api/v1/auth/login, register, forgot-password + "paths": ["/api/v1/auth/login", "/api/v1/auth/register", "/api/v1/auth/forgot-password"], + "max_requests": 5, + "window_seconds": 60, + }, + "query_run": { # run-now + "paths": ["/run-now"], # 用 endswith 匹配 + "max_requests": 10, + "window_seconds": 3600, + }, + "global": { + "max_requests": 100, + "window_seconds": 60, + } + } + + async def dispatch(self, request: Request, call_next): + client_ip = request.client.host if request.client else "unknown" + path = request.url.path + now = time.time() + + # 健康检查不限流 + if path == "/health" or path.startswith("/docs") or path.startswith("/openapi"): + return await call_next(request) + + # 检查认证接口限流 + if any(path == p for p in self.rules["auth"]["paths"]): + key = f"auth:{client_ip}" + if self._is_rate_limited(key, now, self.rules["auth"]): + return JSONResponse( + status_code=429, + content={"detail": "请求过于频繁，请稍后再试"} + ) + + # 检查查询执行限流 + if path.endswith("/run-now") and request.method == "POST": + key = f"query_run:{client_ip}" + if self._is_rate_limited(key, now, self.rules["query_run"]): + return JSONResponse( + status_code=429, + content={"detail": "查询执行过于频繁，请稍后再试"} + ) + + # 全局限流 + key = f"global:{client_ip}" + if self._is_rate_limited(key, now, self.rules["global"]): + return JSONResponse( + status_code=429, + content={"detail": "请求过于频繁，请稍后再试"} + ) + + return await call_next(request) + + def _is_rate_limited(self, key, now, rule): + window = rule["window_seconds"] + max_req = rule["max_requests"] + + # 清理过期记录 + self._requests[key] = [t for t in self._requests[key] if now - t < window] + + if len(self._requests[key]) >= max_req: + return True + + self._requests[key].append(now) + return False diff --git a/backend/app/models/user.py b/backend/app/models/user.py index b5d19d7..09a585c 100644 --- a/backend/app/models/user.py +++ b/backend/app/models/user.py @@ -1,7 +1,7 @@ import uuid from datetime import datetime, timezone -from sqlalchemy import String, Boolean, Integer, func +from sqlalchemy import String, Boolean, Integer, DateTime, func from sqlalchemy import Uuid from sqlalchemy.orm import Mapped, mapped_column, relationship @@ -22,6 +22,13 @@ class User(Base): plan: Mapped[str] = mapped_column(String(20), default="free") max_queries: Mapped[int] = mapped_column(Integer, default=5) is_active: Mapped[bool] = mapped_column(Boolean, default=True) + email_verified: Mapped[bool] = mapped_column(Boolean, default=False) + verification_code: Mapped[str | None] = mapped_column(String(6), nullable=True) + verification_code_expires: Mapped[datetime | None] = mapped_column(DateTime, nullable=True) + reset_token: Mapped[str | None] = mapped_column(String(255), nullable=True) + reset_token_expires: Mapped[datetime | None] = mapped_column(DateTime, nullable=True) + avatar_url: Mapped[str | None] = mapped_column(String(500), nullable=True) + is_admin: Mapped[bool] = mapped_column(Boolean, default=False) created_at: Mapped[datetime] = mapped_column( server_default=func.now(), nullable=False, diff --git a/backend/app/schemas/auth.py b/backend/app/schemas/auth.py index b93346d..777bbca 100644 --- a/backend/app/schemas/auth.py +++ b/backend/app/schemas/auth.py @@ -1,5 +1,6 @@ import uuid from datetime import datetime +from typing import Optional from pydantic import BaseModel, EmailStr, Field @@ -15,6 +16,30 @@ class UserLogin(BaseModel): password: str +class ForgotPasswordRequest(BaseModel): + email: EmailStr + + +class ResetPasswordRequest(BaseModel): + token: str + new_password: str = Field(..., min_length=8) + + +class VerifyEmailRequest(BaseModel): + email: EmailStr + code: str = Field(..., min_length=6, max_length=6) + + +class ChangePasswordRequest(BaseModel): + old_password: str + new_password: str = Field(..., min_length=8) + + +class UpdateProfileRequest(BaseModel): + name: Optional[str] = None + avatar_url: Optional[str] = None + + class UserResponse(BaseModel): id: uuid.UUID email: str @@ -22,6 +47,9 @@ class UserResponse(BaseModel): plan: str max_queries: int is_active: bool + email_verified: bool + is_admin: bool + avatar_url: str | None created_at: datetime model_config = {"from_attributes": True} diff --git a/backend/app/schemas/subscription.py b/backend/app/schemas/subscription.py new file mode 100644 index 0000000..3b2baf4 --- /dev/null +++ b/backend/app/schemas/subscription.py @@ -0,0 +1,40 @@ +from pydantic import BaseModel +from typing import List, Optional +from datetime import date, datetime +from uuid import UUID + + +class PlanFeature(BaseModel): + name: str + included: bool + + +class PlanDetail(BaseModel): + id: str + name: str + price: float + max_queries: int + features: List[PlanFeature] + + +class SubscribeRequest(BaseModel): + plan: str + + +class SubscriptionResponse(BaseModel): + id: UUID + plan: str + status: str + start_date: date + end_date: date + amount: Optional[float] = None + payment_method: Optional[str] = None + created_at: datetime + + class Config: + from_attributes = True + + +class SubscriptionHistoryResponse(BaseModel): + items: List[SubscriptionResponse] + total: int diff --git a/backend/app/services/admin.py b/backend/app/services/admin.py new file mode 100644 index 0000000..d459aa3 --- /dev/null +++ b/backend/app/services/admin.py @@ -0,0 +1,187 @@ +import uuid +from datetime import datetime, timedelta + +from sqlalchemy import func, select +from sqlalchemy.ext.asyncio import AsyncSession + +from app.models.citation_record import CitationRecord +from app.models.query import Query +from app.models.subscription import Subscription +from app.models.user import User +from app.services.subscription import PLANS + + +async def get_system_stats(db: AsyncSession) -> dict: + total_users_result = await db.execute(select(func.count()).select_from(User)) + total_users = total_users_result.scalar_one() + + total_queries_result = await db.execute(select(func.count()).select_from(Query)) + total_queries = total_queries_result.scalar_one() + + total_citations_result = await db.execute( + select(func.count()).select_from(CitationRecord) + ) + total_citations = total_citations_result.scalar_one() + + cited_result = await db.execute( + select(func.count()).select_from(CitationRecord).where(CitationRecord.cited.is_(True)) + ) + cited_count = cited_result.scalar_one() + + citation_rate = round(cited_count / total_citations * 100, 2) if total_citations > 0 else 0.0 + + today = datetime.utcnow().date() + today_start = datetime(today.year, today.month, today.day) + today_active_result = await db.execute( + select(func.count(func.distinct(Query.user_id))).where(Query.last_queried_at >= today_start) + ) + today_active_users = today_active_result.scalar_one() + + return { + "total_users": total_users, + "total_queries": total_queries, + "total_citations": total_citations, + "citation_rate": citation_rate, + "today_active_users": today_active_users, + } + + +async def get_users( + db: AsyncSession, skip: int = 0, limit: int = 20, search: str | None = None +) -> dict: + base_stmt = select(User) + count_stmt = select(func.count()).select_from(User) + + if search: + like_pattern = f"%{search}%" + base_stmt = base_stmt.where( + (User.email.ilike(like_pattern)) | (User.name.ilike(like_pattern)) + ) + count_stmt = count_stmt.where( + (User.email.ilike(like_pattern)) | (User.name.ilike(like_pattern)) + ) + + base_stmt = base_stmt.order_by(User.created_at.desc()).offset(skip).limit(limit) + + result = await db.execute(base_stmt) + users = result.scalars().all() + + count_result = await db.execute(count_stmt) + total = count_result.scalar_one() + + items = [] + for user in users: + query_count_result = await db.execute( + select(func.count()).select_from(Query).where(Query.user_id == user.id) + ) + query_count = query_count_result.scalar_one() + items.append( + { + "id": user.id, + "email": user.email, + "name": user.name, + "plan": user.plan, + "is_active": user.is_active, + "is_admin": user.is_admin, + "email_verified": user.email_verified, + "query_count": query_count, + "created_at": user.created_at, + } + ) + + return {"items": items, "total": total} + + +async def get_user_detail(db: AsyncSession, user_id: uuid.UUID) -> dict | None: + user_result = await db.execute(select(User).where(User.id == user_id)) + user = user_result.scalar_one_or_none() + if user is None: + return None + + queries_result = await db.execute( + select(Query).where(Query.user_id == user_id).order_by(Query.created_at.desc()) + ) + queries = queries_result.scalars().all() + + citations_result = await db.execute( + select(CitationRecord) + .join(Query, CitationRecord.query_id == Query.id) + .where(Query.user_id == user_id) + .order_by(CitationRecord.queried_at.desc()) + .limit(10) + ) + citations = citations_result.scalars().all() + + return { + "user": { + "id": user.id, + "email": user.email, + "name": user.name, + "plan": user.plan, + "is_active": user.is_active, + "is_admin": user.is_admin, + "email_verified": user.email_verified, + "max_queries": user.max_queries, + "created_at": user.created_at, + "updated_at": user.updated_at, + }, + "queries": [ + { + "id": q.id, + "keyword": q.keyword, + "target_brand": q.target_brand, + "status": q.status, + "frequency": q.frequency, + "created_at": q.created_at, + } + for q in queries + ], + "recent_citations": [ + { + "id": c.id, + "platform": c.platform, + "cited": c.cited, + "citation_position": c.citation_position, + "queried_at": c.queried_at, + } + for c in citations + ], + } + + +async def toggle_user_active(db: AsyncSession, user_id: uuid.UUID) -> dict | None: + user_result = await db.execute(select(User).where(User.id == user_id)) + user = user_result.scalar_one_or_none() + if user is None: + return None + + user.is_active = not user.is_active + await db.commit() + + return { + "id": user.id, + "is_active": user.is_active, + "message": "用户已启用" if user.is_active else "用户已禁用", + } + + +async def update_user_plan(db: AsyncSession, user_id: uuid.UUID, plan: str) -> dict | None: + plan_data = PLANS.get(plan) + if plan_data is None: + raise ValueError(f"Invalid plan: {plan}") + + user_result = await db.execute(select(User).where(User.id == user_id)) + user = user_result.scalar_one_or_none() + if user is None: + return None + + user.plan = plan + user.max_queries = plan_data["max_queries"] + await db.commit() + + return { + "id": user.id, + "plan": user.plan, + "max_queries": user.max_queries, + "message": f"用户套餐已更新为{plan_data['name']}", + } diff --git a/backend/app/services/auth.py b/backend/app/services/auth.py index 827c4b1..4e79fcd 100644 --- a/backend/app/services/auth.py +++ b/backend/app/services/auth.py @@ -1,5 +1,7 @@ +import logging +import random import uuid -from datetime import datetime, timedelta, timezone +from datetime import datetime, timedelta from jose import jwt, JWTError from passlib.context import CryptContext @@ -8,8 +10,9 @@ from sqlalchemy.ext.asyncio import AsyncSession from app.config import settings from app.models.user import User -from app.schemas.auth import UserRegister +from app.schemas.auth import UserRegister, UpdateProfileRequest +logger = logging.getLogger(__name__) pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto") @@ -23,7 +26,7 @@ def verify_password(plain_password: str, hashed_password: str) -> bool: def create_access_token(data: dict) -> str: to_encode = data.copy() - expire = datetime.now(timezone.utc) + timedelta(hours=settings.JWT_EXPIRE_HOURS) + expire = datetime.utcnow() + timedelta(hours=settings.JWT_EXPIRE_HOURS) to_encode.update({"exp": expire}) encoded_jwt = jwt.encode(to_encode, settings.JWT_SECRET, algorithm="HS256") return encoded_jwt @@ -66,3 +69,106 @@ async def authenticate_user( return None return user + + +async def send_verification_code(db: AsyncSession, email: str) -> None: + """生成6位随机验证码，存到user记录，日志输出（模拟邮件）""" + stmt = select(User).where(User.email == email) + result = await db.execute(stmt) + user = result.scalar_one_or_none() + if not user: + return + + code = f"{random.randint(100000, 999999)}" + user.verification_code = code + user.verification_code_expires = datetime.utcnow() + timedelta(minutes=10) + await db.commit() + logger.info(f"[模拟邮件] 邮箱验证码发送到 {email}: {code}") + + +async def verify_email(db: AsyncSession, email: str, code: str) -> bool: + """验证码校验，成功则设置email_verified=True""" + stmt = select(User).where(User.email == email) + result = await db.execute(stmt) + user = result.scalar_one_or_none() + if not user: + return False + + if user.verification_code != code: + return False + + if user.verification_code_expires is None or user.verification_code_expires < datetime.utcnow(): + return False + + user.email_verified = True + user.verification_code = None + user.verification_code_expires = None + await db.commit() + return True + + +async def send_reset_link(db: AsyncSession, email: str) -> None: + """生成UUID token，存到user记录，日志输出重置链接""" + stmt = select(User).where(User.email == email) + result = await db.execute(stmt) + user = result.scalar_one_or_none() + if not user: + return + + token = str(uuid.uuid4()) + user.reset_token = token + user.reset_token_expires = datetime.utcnow() + timedelta(hours=1) + await db.commit() + logger.info(f"[模拟邮件] 密码重置链接: http://localhost:3000/reset-password?token={token}") + + +async def reset_password(db: AsyncSession, token: str, new_password: str) -> bool: + """token验证+密码更新""" + stmt = select(User).where(User.reset_token == token) + result = await db.execute(stmt) + user = result.scalar_one_or_none() + if not user: + return False + + if user.reset_token_expires is None or user.reset_token_expires < datetime.utcnow(): + return False + + user.password_hash = hash_password(new_password) + user.reset_token = None + user.reset_token_expires = None + await db.commit() + return True + + +async def change_password(db: AsyncSession, user_id: uuid.UUID, old_password: str, new_password: str) -> bool: + """旧密码验证后更新""" + stmt = select(User).where(User.id == user_id) + result = await db.execute(stmt) + user = result.scalar_one_or_none() + if not user: + return False + + if not verify_password(old_password, user.password_hash): + return False + + user.password_hash = hash_password(new_password) + await db.commit() + return True + + +async def update_profile(db: AsyncSession, user_id: uuid.UUID, data: UpdateProfileRequest) -> User | None: + """更新用户资料（name, avatar_url）""" + stmt = select(User).where(User.id == user_id) + result = await db.execute(stmt) + user = result.scalar_one_or_none() + if not user: + return None + + if data.name is not None: + user.name = data.name + if data.avatar_url is not None: + user.avatar_url = data.avatar_url + + await db.commit() + await db.refresh(user) + return user diff --git a/backend/app/services/citation.py b/backend/app/services/citation.py index 63ac59b..7c68ac7 100644 --- a/backend/app/services/citation.py +++ b/backend/app/services/citation.py @@ -7,6 +7,7 @@ from datetime import datetime, timedelta, timezone from sqlalchemy import func, select, and_, cast, Integer from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import selectinload from app.database import AsyncSessionLocal from app.models.citation_record import CitationRecord @@ -339,6 +340,132 @@ PLATFORM_NAMES = { } +async def export_citations_pdf( + db: AsyncSession, + user_id: uuid.UUID, + query_id: uuid.UUID | None = None, +) -> bytes: + """生成PDF格式报告""" + import os + from fpdf import FPDF + + # 验证查询所有权（如果提供了 query_id） + if query_id is not None: + query = await _verify_query_ownership(db, query_id, user_id) + if query is None: + raise ValueError("Query not found") + + # 构建查询条件 + conditions = [Query.user_id == user_id] + if query_id is not None: + conditions.append(CitationRecord.query_id == query_id) + + # 查询数据，使用 selectinload 加载 query 关系 + stmt = ( + select(CitationRecord) + .options(selectinload(CitationRecord.query)) + .join(Query, CitationRecord.query_id == Query.id) + .where(and_(*conditions)) + .order_by(CitationRecord.queried_at.desc()) + ) + result = await db.execute(stmt) + records = result.scalars().all() + + pdf = FPDF() + pdf.add_page() + + # 加载中文字体 + font_paths = [ + "/System/Library/Fonts/PingFang.ttc", + "/System/Library/Fonts/STHeiti Light.ttc", + "/usr/share/fonts/truetype/noto/NotoSansCJK-Regular.ttc", + "/usr/share/fonts/opentype/noto/NotoSansCJK-Regular.ttc", + ] + font_loaded = False + for fp in font_paths: + if os.path.exists(fp): + pdf.add_font("Chinese", "", fp, uni=True) + pdf.set_font("Chinese", size=12) + font_loaded = True + break + if not font_loaded: + pdf.set_font("Helvetica", size=12) + + # 封面 + pdf.set_font_size(24) + pdf.cell(0, 40, "GEO 品牌曝光度分析报告", new_x="LMARGIN", new_y="NEXT", align="C") + pdf.set_font_size(12) + pdf.cell(0, 10, f"生成日期: {datetime.now().strftime('%Y-%m-%d %H:%M')}", new_x="LMARGIN", new_y="NEXT", align="C") + pdf.ln(20) + + # 汇总统计 + total = len(records) + cited_count = sum(1 for r in records if r.cited) + rate = f"{cited_count / total * 100:.1f}%" if total > 0 else "0%" + + total_position = 0 + position_count = 0 + for r in records: + if r.citation_position is not None: + total_position += r.citation_position + position_count += 1 + avg_pos = f"{total_position / position_count:.1f}" if position_count > 0 else "-" + + pdf.set_font_size(16) + pdf.cell(0, 12, "一、汇总统计", new_x="LMARGIN", new_y="NEXT") + pdf.set_font_size(11) + pdf.cell(0, 8, f"总查询次数: {total}", new_x="LMARGIN", new_y="NEXT") + pdf.cell(0, 8, f"引用次数: {cited_count}", new_x="LMARGIN", new_y="NEXT") + pdf.cell(0, 8, f"引用率: {rate}", new_x="LMARGIN", new_y="NEXT") + pdf.cell(0, 8, f"平均引用位置: {avg_pos}", new_x="LMARGIN", new_y="NEXT") + pdf.ln(10) + + # 平台分布 + pdf.set_font_size(16) + pdf.cell(0, 12, "二、平台分布", new_x="LMARGIN", new_y="NEXT") + pdf.set_font_size(11) + + platform_stats = {} + for r in records: + if r.platform not in platform_stats: + platform_stats[r.platform] = {"total": 0, "cited": 0} + platform_stats[r.platform]["total"] += 1 + if r.cited: + platform_stats[r.platform]["cited"] += 1 + + for platform, stats in platform_stats.items(): + name = PLATFORM_NAMES.get(platform, platform) + p_rate = f"{stats['cited'] / stats['total'] * 100:.1f}%" if stats['total'] > 0 else "0%" + pdf.cell(0, 8, f" {name}: 查询{stats['total']}次, 引用{stats['cited']}次, 引用率{p_rate}", new_x="LMARGIN", new_y="NEXT") + pdf.ln(10) + + # 详细数据表格 + pdf.set_font_size(16) + pdf.cell(0, 12, "三、详细数据", new_x="LMARGIN", new_y="NEXT") + pdf.set_font_size(9) + + col_widths = [30, 25, 20, 20, 15, 80] + headers = ["查询关键词", "平台", "是否引用", "置信度", "位置", "引用文本"] + for i, h in enumerate(headers): + pdf.cell(col_widths[i], 8, h, border=1, align="C") + pdf.ln() + + for r in records: + keyword = r.query.keyword if r.query else "" + platform_name = PLATFORM_NAMES.get(r.platform, r.platform) + cited_str = "是" if r.cited else "否" + conf = f"{r.confidence:.2f}" if r.confidence is not None else "-" + pos = str(r.citation_position) if r.citation_position is not None else "-" + text = (r.citation_text or "")[:40] + + row_data = [keyword[:15], platform_name, cited_str, conf, pos, text] + for i, d in enumerate(row_data): + pdf.cell(col_widths[i], 7, d, border=1) + pdf.ln() + + return pdf.output() + + async def export_citations_csv( db: AsyncSession, user_id: uuid.UUID, diff --git a/backend/app/services/subscription.py b/backend/app/services/subscription.py new file mode 100644 index 0000000..8d9bfa1 --- /dev/null +++ b/backend/app/services/subscription.py @@ -0,0 +1,154 @@ +import logging +import uuid +from datetime import date, timedelta +from typing import Optional + +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession + +from app.models.subscription import Subscription +from app.models.user import User +from app.schemas.subscription import PlanDetail, PlanFeature, SubscriptionResponse + +logger = logging.getLogger(__name__) + +_PLAN_FEATURES = [ + ("基础查询监控", ["free", "starter", "pro", "enterprise"]), + ("CSV导出", ["free", "starter", "pro", "enterprise"]), + ("PDF报告", ["starter", "pro", "enterprise"]), + ("定时查询", ["pro", "enterprise"]), + ("竞品分析", ["pro", "enterprise"]), + ("API访问", ["enterprise"]), + ("专属支持", ["enterprise"]), +] + +PLANS = { + "free": { + "name": "免费版", + "price": 0, + "max_queries": 5, + }, + "starter": { + "name": "入门版", + "price": 99, + "max_queries": 20, + }, + "pro": { + "name": "专业版", + "price": 299, + "max_queries": 100, + }, + "enterprise": { + "name": "企业版", + "price": 999, + "max_queries": 500, + }, +} + + +def _build_features(plan_id: str) -> list[PlanFeature]: + return [ + PlanFeature(name=name, included=plan_id in allowed) + for name, allowed in _PLAN_FEATURES + ] + + +def get_plans() -> list[PlanDetail]: + return [ + PlanDetail( + id=plan_id, + name=data["name"], + price=data["price"], + max_queries=data["max_queries"], + features=_build_features(plan_id), + ) + for plan_id, data in PLANS.items() + ] + + +async def get_current_subscription( + db: AsyncSession, user_id: uuid.UUID +) -> Optional[SubscriptionResponse]: + stmt = ( + select(Subscription) + .where(Subscription.user_id == user_id) + .order_by(Subscription.created_at.desc()) + .limit(1) + ) + result = await db.execute(stmt) + sub = result.scalar_one_or_none() + if sub is None: + return None + return SubscriptionResponse.model_validate(sub) + + +async def subscribe( + db: AsyncSession, user_id: uuid.UUID, plan: str +) -> SubscriptionResponse: + plan_data = PLANS.get(plan) + if plan_data is None: + raise ValueError(f"Invalid plan: {plan}") + + today = date.today() + end_date = today + timedelta(days=30) + + subscription = Subscription( + user_id=user_id, + plan=plan, + status="active", + start_date=today, + end_date=end_date, + amount=plan_data["price"], + payment_method="模拟支付", + ) + db.add(subscription) + + user_stmt = select(User).where(User.id == user_id) + user_result = await db.execute(user_stmt) + user = user_result.scalar_one() + user.plan = plan + user.max_queries = plan_data["max_queries"] + + await db.commit() + await db.refresh(subscription) + + logger.info(f"[模拟支付] 用户{user_id} 订阅{plan}，金额{plan_data['price']}元") + + return SubscriptionResponse.model_validate(subscription) + + +async def cancel_subscription(db: AsyncSession, user_id: uuid.UUID) -> dict: + stmt = ( + select(Subscription) + .where(Subscription.user_id == user_id, Subscription.status == "active") + .order_by(Subscription.created_at.desc()) + .limit(1) + ) + result = await db.execute(stmt) + sub = result.scalar_one_or_none() + + if sub is not None: + sub.status = "cancelled" + + user_stmt = select(User).where(User.id == user_id) + user_result = await db.execute(user_stmt) + user = user_result.scalar_one() + user.plan = "free" + user.max_queries = PLANS["free"]["max_queries"] + + await db.commit() + + return {"message": "订阅已取消，已降级到免费版"} + + +async def get_subscription_history( + db: AsyncSession, user_id: uuid.UUID +) -> list[SubscriptionResponse]: + stmt = ( + select(Subscription) + .where(Subscription.user_id == user_id) + .order_by(Subscription.created_at.desc()) + ) + result = await db.execute(stmt) + subs = result.scalars().all() + return [SubscriptionResponse.model_validate(sub) for sub in subs] diff --git a/backend/requirements.txt b/backend/requirements.txt index 203ceff..97c82ce 100644 --- a/backend/requirements.txt +++ b/backend/requirements.txt @@ -33,3 +33,6 @@ python-dotenv pytest>=8.0 pytest-asyncio>=0.23.0 aiosqlite + +# PDF生成 +fpdf2>=2.7 diff --git a/frontend/README.md b/frontend/README.md index e215bc4..d1af9fd 100644 --- a/frontend/README.md +++ b/frontend/README.md @@ -1,36 +1,169 @@ -This is a [Next.js](https://nextjs.org) project bootstrapped with [`create-next-app`](https://nextjs.org/docs/app/api-reference/cli/create-next-app). +# GEO 平台 - 前端应用 -## Getting Started +基于 Next.js 14 + React 18 构建的现代化前端应用，使用 App Router 架构。 -First, run the development server: +## 环境要求 + +- Node.js 18+ +- npm 9+（或 yarn、pnpm） +- 后端服务已启动（默认 http://localhost:8000） + +## 安装步骤 ```bash -npm run dev -# or -yarn dev -# or -pnpm dev -# or -bun dev +cd frontend +npm install ``` -Open [http://localhost:3000](http://localhost:3000) with your browser to see the result. +## 运行命令 -You can start editing the page by modifying `app/page.tsx`. The page auto-updates as you edit the file. +```bash +# 开发模式（带热重载） +npm run dev -This project uses [`next/font`](https://nextjs.org/docs/app/building-your-application/optimizing/fonts) to automatically optimize and load [Geist](https://vercel.com/font), a new font family for Vercel. +# 生产构建 +npm run build -## Learn More +# 启动生产服务 +npm run start -To learn more about Next.js, take a look at the following resources: +# 代码检查 +npm run lint +``` -- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API. -- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial. +开发服务器启动后，访问 http://localhost:3000。 -You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js) - your feedback and contributions are welcome! +## 页面路由说明 -## Deploy on Vercel +本应用使用 Next.js App Router（`app/` 目录），路由基于文件系统自动生成。 -The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js. +### 认证页面（`(auth)` 路由组） -Check out our [Next.js deployment documentation](https://nextjs.org/docs/app/building-your-application/deploying) for more details. +| 路径 | 功能 | 说明 | +|------|------|------| +| `/` | 首页/欢迎页 | 应用入口，未登录用户展示介绍 | +| `/login` | 用户登录 | 邮箱+密码登录，支持记住我 | +| `/register` | 用户注册 | 新用户注册，含邮箱验证流程 | +| `/forgot-password` | 忘记密码 | 发送密码重置链接到邮箱 | +| `/reset-password` | 重置密码 | 通过令牌设置新密码 | + +### 仪表盘页面（`(dashboard)` 路由组） + +所有仪表盘页面均需登录后才能访问，受 NextAuth 会话保护。 + +| 路径 | 功能 | 说明 | +|------|------|------| +| `/dashboard` | 仪表盘首页 | 数据概览、关键指标、引用趋势图 | +| `/dashboard/queries` | 查询词管理 | 查询词 CRUD、即时执行、分页列表 | +| `/dashboard/citations` | 引用数据 | 引用记录列表、按平台/日期筛选 | +| `/dashboard/reports` | 报告导出 | CSV 报告生成与下载 | +| `/dashboard/settings` | 个人设置 | 用户资料修改、密码修改 | + +### API 路由 + +| 路径 | 功能 | +|------|------| +| `/api/auth/[...nextauth]` | NextAuth.js 认证 API 端点 | + +## 组件结构说明 + +``` +components/ +├── ui/ # shadcn/ui 基础组件 +│ ├── button.tsx # 按钮 +│ ├── card.tsx # 卡片 +│ ├── dialog.tsx # 对话框 +│ ├── dropdown-menu.tsx # 下拉菜单 +│ ├── input.tsx # 输入框 +│ ├── label.tsx # 标签 +│ ├── select.tsx # 下拉选择 +│ ├── table.tsx # 表格 +│ ├── tabs.tsx # 标签页 +│ ├── badge.tsx # 徽标 +│ └── skeleton.tsx # 骨架屏 +├── charts/ # 数据可视化图表组件 +│ ├── trend-chart.tsx # 引用趋势折线图 +│ └── platform-chart.tsx # 平台对比柱状图/饼图 +├── layout/ # 布局组件 +│ ├── header.tsx # 顶部导航栏 +│ └── sidebar.tsx # 侧边栏导航 +└── providers.tsx # 全局 Provider 包装（NextAuth SessionProvider 等） +``` + +### lib 工具库 + +``` +lib/ +├── api.ts # 后端 API 客户端封装（fetch 封装） +├── auth.ts # NextAuth 配置与工具函数 +├── platforms.ts # 平台名称/图标映射配置 +└── utils.ts # 通用工具函数（cn 合并类等） +``` + +## 技术栈详情 + +| 类别 | 技术 | +|------|------| +| 框架 | Next.js 14 (App Router) | +| UI 库 | React 18 | +| 样式 | TailwindCSS 3.4 | +| 组件库 | shadcn/ui（基于 Radix UI） | +| 图表 | Recharts | +| 认证 | NextAuth.js 4 (Credentials Provider) | +| 字体 | Geist（本地字体） | +| 语言 | TypeScript 5 | + +## 环境变量配置 + +前端环境变量分为两类： + +### 公开环境变量（`NEXT_PUBLIC_` 前缀，客户端可用） + +在 `.env.local` 中配置： + +```bash +# 后端 API 地址 +NEXT_PUBLIC_API_URL=http://localhost:8000 +``` + +### 服务端环境变量（仅服务端可用） + +```bash +# NextAuth 配置 +NEXTAUTH_URL=http://localhost:3000 +NEXTAUTH_SECRET=geo-platform-nextauth-secret-key-2026 +``` + +> **注意**：`.env.local` 文件不会被提交到 Git 仓库。新成员需要手动创建该文件。 + +### 环境变量文件优先级 + +Next.js 按以下优先级加载环境变量（高优先级覆盖低优先级）： + +1. `.env.local`（本地开发，不提交 Git） +2. `.env.development` / `.env.production`（按环境） +3. `.env`（全局默认） + +## Docker 开发 + +项目根目录已提供 `docker-compose.yml`，前端服务会自动挂载代码并启动开发服务器： + +```bash +# 在项目根目录执行 +docker-compose up -d frontend +``` + +前端容器配置： +- 端口映射：`3000:3000` +- 代码热重载：通过 volume 挂载 `./frontend:/app` +- node_modules 持久化：独立 volume 避免覆盖 + +## 开发注意事项 + +1. **API 调用**：统一使用 `lib/api.ts` 中封装的方法，自动携带 JWT Token +2. **认证状态**：通过 `next-auth/react` 的 `useSession` Hook 获取当前登录状态 +3. **服务端组件 vs 客户端组件**： + - 数据获取页面优先使用 Server Component + - 交互逻辑（表单、图表）使用 `"use client"` Client Component +4. **样式规范**：统一使用 TailwindCSS 工具类，复杂组合通过 `cn()` 工具函数处理 +5. **图标**：统一使用 `lucide-react` 图标库 diff --git a/frontend/app/(auth)/forgot-password/page.tsx b/frontend/app/(auth)/forgot-password/page.tsx new file mode 100644 index 0000000..6cd2755 --- /dev/null +++ b/frontend/app/(auth)/forgot-password/page.tsx @@ -0,0 +1,100 @@ +"use client"; + +import { useState } from "react"; +import Link from "next/link"; +import { Button } from "@/components/ui/button"; +import { Input } from "@/components/ui/input"; +import { Label } from "@/components/ui/label"; +import { + Card, + CardContent, + CardDescription, + CardFooter, + CardHeader, + CardTitle, +} from "@/components/ui/card"; +import { api } from "@/lib/api"; + +export default function ForgotPasswordPage() { + const [email, setEmail] = useState(""); + const [error, setError] = useState(""); + const [loading, setLoading] = useState(false); + const [success, setSuccess] = useState(false); + + const handleSubmit = async (e: React.FormEvent) => { + e.preventDefault(); + setLoading(true); + setError(""); + try { + await api.auth.forgotPassword(email); + setSuccess(true); + } catch (err: unknown) { + const message = err instanceof Error ? err.message : "请求失败"; + setError(message); + } finally { + setLoading(false); + } + }; + + if (success) { + return ( + + + 重置链接已发送 + 重置链接已发送到您的邮箱，请查收 + + +

+ 如果您没有收到邮件，请检查垃圾邮件文件夹或稍后再试。 +

+ + + + 返回登录 + + + + ); + } + + return ( + + + 忘记密码 + 输入您的邮箱地址，我们将发送重置链接 + +
+ + {error && ( +

{error}

+ )} +
+ + setEmail(e.target.value)} + required + /> +
+ + + + + 返回登录 + + +
+ + ); +} diff --git a/frontend/app/(auth)/login/page.tsx b/frontend/app/(auth)/login/page.tsx index 9d8f115..d408f86 100644 --- a/frontend/app/(auth)/login/page.tsx +++ b/frontend/app/(auth)/login/page.tsx @@ -64,7 +64,15 @@ export default function LoginPage() { />
- +
+ + + 忘记密码？ + +
{ + if (success && countdown > 0) { + const timer = setTimeout(() => setCountdown((c) => c - 1), 1000); + return () => clearTimeout(timer); + } + if (success && countdown === 0) { + router.push("/login"); + } + }, [success, countdown, router]); + + const handleSubmit = async (e: React.FormEvent) => { + e.preventDefault(); + setError(""); + + if (newPassword !== confirmPassword) { + setError("两次输入的密码不一致"); + return; + } + + if (!token) { + setError("重置令牌无效或已过期"); + return; + } + + setLoading(true); + try { + await api.auth.resetPassword(token, newPassword); + setSuccess(true); + } catch (err: unknown) { + const message = err instanceof Error ? err.message : "重置失败"; + setError(message); + } finally { + setLoading(false); + } + }; + + if (success) { + return ( + + + 密码重置成功 + + 您的密码已重置，{countdown} 秒后自动跳转到登录页 + + + + + 立即登录 + + + + ); + } + + return ( + + + 重置密码 + 请输入您的新密码 + +
+ + {error && ( +

{error}

+ )} +
+ + setNewPassword(e.target.value)} + required + /> +
+
+ + setConfirmPassword(e.target.value)} + required + /> +
+ + + + + 返回登录 + + +
+ + ); +} + +export default function ResetPasswordPage() { + return ( + + + 重置密码 + 加载中... + + + } + > + + + ); +} diff --git a/frontend/app/(auth)/verify-email/page.tsx b/frontend/app/(auth)/verify-email/page.tsx new file mode 100644 index 0000000..c529388 --- /dev/null +++ b/frontend/app/(auth)/verify-email/page.tsx @@ -0,0 +1,154 @@ +"use client"; + +import { useState, useEffect, Suspense } from "react"; +import { useSearchParams, useRouter } from "next/navigation"; +import Link from "next/link"; +import { Button } from "@/components/ui/button"; +import { Input } from "@/components/ui/input"; +import { Label } from "@/components/ui/label"; +import { + Card, + CardContent, + CardDescription, + CardFooter, + CardHeader, + CardTitle, +} from "@/components/ui/card"; +import { api } from "@/lib/api"; + +function VerifyEmailForm() { + const router = useRouter(); + const searchParams = useSearchParams(); + const email = searchParams.get("email") || ""; + + const [code, setCode] = useState(""); + const [error, setError] = useState(""); + const [loading, setLoading] = useState(false); + const [success, setSuccess] = useState(false); + const [resendCountdown, setResendCountdown] = useState(0); + + useEffect(() => { + if (resendCountdown > 0) { + const timer = setTimeout(() => setResendCountdown((c) => c - 1), 1000); + return () => clearTimeout(timer); + } + }, [resendCountdown]); + + const handleSubmit = async (e: React.FormEvent) => { + e.preventDefault(); + if (!email) { + setError("邮箱地址无效"); + return; + } + setLoading(true); + setError(""); + try { + await api.auth.verifyEmail(email, code); + setSuccess(true); + setTimeout(() => { + router.push("/login"); + }, 1500); + } catch (err: unknown) { + const message = err instanceof Error ? err.message : "验证失败"; + setError(message); + } finally { + setLoading(false); + } + }; + + const handleResend = async () => { + if (!email || resendCountdown > 0) return; + setError(""); + try { + await api.auth.resendVerification(email); + setResendCountdown(60); + } catch (err: unknown) { + const message = err instanceof Error ? err.message : "发送失败"; + setError(message); + } + }; + + if (success) { + return ( + + + 验证成功 + 邮箱验证成功，正在跳转到登录页... + + + + 立即登录 + + + + ); + } + + return ( + + + 验证邮箱 + + 我们已向 {email || "您的邮箱"} 发送了验证码 + + +
+ + {error && ( +

{error}

+ )} +
+ + setCode(e.target.value)} + required + /> +
+
+ +
+ + + + + 返回登录 + + +
+ + ); +} + +export default function VerifyEmailPage() { + return ( + + + 验证邮箱 + 加载中... + + + } + > + + + ); +} diff --git a/frontend/app/(dashboard)/dashboard/admin/page.tsx b/frontend/app/(dashboard)/dashboard/admin/page.tsx new file mode 100644 index 0000000..9c6737f --- /dev/null +++ b/frontend/app/(dashboard)/dashboard/admin/page.tsx @@ -0,0 +1,434 @@ +"use client"; + +import { useEffect, useState } from "react"; +import { useSession } from "next-auth/react"; +import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card"; +import { Button } from "@/components/ui/button"; +import { Input } from "@/components/ui/input"; +import { Badge } from "@/components/ui/badge"; +import { + Select, + SelectContent, + SelectItem, + SelectTrigger, + SelectValue, +} from "@/components/ui/select"; +import { + Dialog, + DialogContent, + DialogDescription, + DialogFooter, + DialogHeader, + DialogTitle, +} from "@/components/ui/dialog"; +import { + Table, + TableBody, + TableCell, + TableHead, + TableHeader, + TableRow, +} from "@/components/ui/table"; +import { api } from "@/lib/api"; +import { + Users, + Search, + Quote, + Percent, + Loader2, + AlertTriangle, + CheckCircle, + Ban, + UserCheck, + ChevronLeft, + ChevronRight, +} from "lucide-react"; + +interface StatsData { + total_users: number; + total_queries: number; + total_citations: number; + citation_rate: number; + today_active_users: number; +} + +interface AdminUser { + id: string; + email: string; + name: string | null; + plan: string; + is_active: boolean; + is_admin: boolean; + email_verified: boolean; + query_count: number; + created_at: string; +} + +const PLAN_OPTIONS = [ + { value: "free", label: "免费版" }, + { value: "starter", label: "入门版" }, + { value: "pro", label: "专业版" }, + { value: "business", label: "企业版" }, +]; + +const LIMIT = 10; + +export default function AdminPage() { + const { data: session } = useSession(); + const [stats, setStats] = useState(null); + const [users, setUsers] = useState([]); + const [totalUsers, setTotalUsers] = useState(0); + const [skip, setSkip] = useState(0); + const [search, setSearch] = useState(""); + const [loadingStats, setLoadingStats] = useState(false); + const [loadingUsers, setLoadingUsers] = useState(false); + const [error, setError] = useState(null); + const [success, setSuccess] = useState(null); + + const [dialogOpen, setDialogOpen] = useState(false); + const [dialogType, setDialogType] = useState<"toggle" | "plan">("toggle"); + const [selectedUser, setSelectedUser] = useState(null); + const [selectedPlan, setSelectedPlan] = useState(""); + const [actionLoading, setActionLoading] = useState(false); + + const token = session?.accessToken; + + useEffect(() => { + if (!token) return; + loadStats(); + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [token]); + + useEffect(() => { + if (!token) return; + loadUsers(); + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [token, skip, search]); + + async function loadStats() { + if (!token) return; + setLoadingStats(true); + try { + const data = await api.admin.getStats(token); + setStats(data); + setError(null); + } catch (err) { + setError(err instanceof Error ? err.message : "加载统计失败"); + } finally { + setLoadingStats(false); + } + } + + async function loadUsers() { + if (!token) return; + setLoadingUsers(true); + try { + const data = await api.admin.getUsers(token, { skip, limit: LIMIT, search: search || undefined }); + setUsers(data.items || []); + setTotalUsers(data.total || 0); + setError(null); + } catch (err) { + setError(err instanceof Error ? err.message : "加载用户列表失败"); + } finally { + setLoadingUsers(false); + } + } + + function openToggleDialog(user: AdminUser) { + setSelectedUser(user); + setDialogType("toggle"); + setDialogOpen(true); + } + + function openPlanDialog(user: AdminUser) { + setSelectedUser(user); + setSelectedPlan(user.plan); + setDialogType("plan"); + setDialogOpen(true); + } + + async function handleConfirm() { + if (!token || !selectedUser) return; + setActionLoading(true); + setSuccess(null); + try { + if (dialogType === "toggle") { + const res = await api.admin.toggleUserActive(token, selectedUser.id); + setSuccess(res.message || "操作成功"); + } else { + const res = await api.admin.updateUserPlan(token, selectedUser.id, selectedPlan); + setSuccess(res.message || "套餐更新成功"); + } + await loadUsers(); + setDialogOpen(false); + setTimeout(() => setSuccess(null), 3000); + } catch (err) { + setError(err instanceof Error ? err.message : "操作失败"); + setDialogOpen(false); + } finally { + setActionLoading(false); + } + } + + const totalPages = Math.ceil(totalUsers / LIMIT); + const currentPage = Math.floor(skip / LIMIT) + 1; + + const statCards = [ + { + title: "总用户数", + value: stats?.total_users ?? 0, + icon: Users, + color: "text-blue-600", + bg: "bg-blue-50", + }, + { + title: "总查询数", + value: stats?.total_queries ?? 0, + icon: Search, + color: "text-emerald-600", + bg: "bg-emerald-50", + }, + { + title: "总引用次数", + value: stats?.total_citations ?? 0, + icon: Quote, + color: "text-violet-600", + bg: "bg-violet-50", + }, + { + title: "引用率", + value: stats ? `${stats.citation_rate}%` : "0%", + icon: Percent, + color: "text-amber-600", + bg: "bg-amber-50", + }, + ]; + + function formatDate(dateStr: string) { + if (!dateStr) return "-"; + const d = new Date(dateStr); + return d.toLocaleDateString("zh-CN"); + } + + return ( +
+
+

管理后台

+

系统统计与用户管理

+
+ + {error && ( +
+ + {error} +
+ )} + + {success && ( +
+ + {success} +
+ )} + + {/* Stats Cards */} +
+ {statCards.map((card) => ( + + +
+ +
+
+

{card.title}

+

+ {loadingStats ? : card.value} +

+
+ + + ))} +
+ + {/* User Management */} + + + 用户管理 + + +
+ { + setSearch(e.target.value); + setSkip(0); + }} + className="max-w-sm" + /> + +
+ +
+ + + + 邮箱 + 用户名 + 套餐 + 查询数 + 邮箱验证 + 状态 + 注册日期 + 操作 + + + + {loadingUsers ? ( + + + + + + ) : users.length === 0 ? ( + + + 暂无用户数据 + + + ) : ( + users.map((user) => ( + + {user.email} + {user.name || "-"} + + {user.plan} + + {user.query_count} + + {user.email_verified ? ( + + 已验证 + + ) : ( + + 未验证 + + )} + + + {user.is_active ? ( + + 正常 + + ) : ( + 禁用 + )} + + {formatDate(user.created_at)} + +
+ + +
+ + + )) + )} + +
+
+ + {/* Pagination */} + {totalPages > 1 && ( +
+ + + 第 {currentPage} / {totalPages} 页 (共 {totalUsers} 条) + + +
+ )} + + + + {/* Dialog */} + + + + + {dialogType === "toggle" + ? selectedUser?.is_active + ? "禁用用户" + : "启用用户" + : "修改套餐"} + + + {dialogType === "toggle" + ? `确认${selectedUser?.is_active ? "禁用" : "启用"}用户 ${selectedUser?.email}？` + : `请选择用户 ${selectedUser?.email} 的新套餐`} + + + {dialogType === "plan" && ( +
+ +
+ )} + + + + + + +
+ ); +} + +function cn(...classes: (string | undefined | false)[]) { + return classes.filter(Boolean).join(" "); +} diff --git a/frontend/app/(dashboard)/dashboard/reports/page.tsx b/frontend/app/(dashboard)/dashboard/reports/page.tsx index 8f79b8b..e4daaaa 100644 --- a/frontend/app/(dashboard)/dashboard/reports/page.tsx +++ b/frontend/app/(dashboard)/dashboard/reports/page.tsx @@ -5,6 +5,7 @@ import { useSession } from "next-auth/react"; import { Card, CardContent, CardHeader, CardTitle, CardDescription } from "@/components/ui/card"; import { Button } from "@/components/ui/button"; import { Label } from "@/components/ui/label"; +import { Badge } from "@/components/ui/badge"; import { Select, SelectContent, @@ -12,28 +13,71 @@ import { SelectTrigger, SelectValue, } from "@/components/ui/select"; +import { + Table, + TableBody, + TableCell, + TableHead, + TableHeader, + TableRow, +} from "@/components/ui/table"; import { api } from "@/lib/api"; -import { Loader2, FileDown, Info, CheckCircle, AlertTriangle } from "lucide-react"; +import { + Loader2, + FileDown, + FileText, + Info, + CheckCircle, + AlertTriangle, + Search, + Quote, + Percent, + BarChart3, +} from "lucide-react"; interface QueryOption { id: string; keyword: string; } +interface CitationStats { + total_queries: number; + total_citations: number; + citation_rate: number; + avg_position: number | null; +} + +interface CitationRecord { + id: string; + query_id: string; + platform: string; + cited: boolean; + citation_position: number | null; + citation_text: string | null; + competitor_brands: string[]; + confidence: number | null; + match_type: string | null; + queried_at: string; +} + const API_BASE = process.env.NEXT_PUBLIC_API_URL || "http://localhost:8000"; export default function ReportsPage() { const { data: session } = useSession(); const [queries, setQueries] = useState([]); const [selectedQuery, setSelectedQuery] = useState(""); - const [exportFormat, setExportFormat] = useState("csv"); const [loading, setLoading] = useState(false); const [error, setError] = useState(null); const [success, setSuccess] = useState(false); + const [stats, setStats] = useState(null); + const [recentCitations, setRecentCitations] = useState([]); + const [previewLoading, setPreviewLoading] = useState(false); + useEffect(() => { if (!session?.accessToken) return; loadQueries(); + loadPreview(); // eslint-disable-next-line react-hooks/exhaustive-deps }, [session?.accessToken]); @@ -47,38 +91,71 @@ export default function ReportsPage() { } } - async function handleExport() { + async function loadPreview() { + if (!session?.accessToken) return; + setPreviewLoading(true); + try { + const statsData = await api.citations.getStats(session.accessToken); + setStats(statsData); + const listData = await api.citations.list(session.accessToken, "limit=10"); + setRecentCitations(listData.items || []); + } catch (err) { + // 预览数据加载失败不影响主功能 + console.error("预览数据加载失败", err); + } finally { + setPreviewLoading(false); + } + } + + async function handleExportCSV() { if (!session?.accessToken) return; if (!selectedQuery) { setError("请先选择要导出的查询词"); return; } + await handleExport("csv"); + } + + async function handleExportPDF() { + if (!session?.accessToken) return; + if (!selectedQuery) { + setError("请先选择要导出的查询词"); + return; + } + await handleExport("pdf"); + } + + async function handleExport(format: "csv" | "pdf") { + if (!session?.accessToken) return; try { setLoading(true); setError(null); setSuccess(false); - // 使用原生fetch下载CSV文件 - const query = `?query_id=${selectedQuery}`; - const url = `${API_BASE}/api/v1/reports/export/csv${query}`; - const res = await fetch(url, { - headers: { - Authorization: `Bearer ${session.accessToken}`, - }, - }); + const queryId = selectedQuery; + let blob: Blob; + let filename: string; - if (!res.ok) { - const errorData = await res.json().catch(() => ({ detail: "导出失败" })); - throw new Error(errorData.detail || `HTTP ${res.status}`); + if (format === "csv") { + const query = `?query_id=${queryId}`; + const url = `${API_BASE}/api/v1/reports/export/csv${query}`; + const res = await fetch(url, { + headers: { Authorization: `Bearer ${session.accessToken}` }, + }); + if (!res.ok) { + const errorData = await res.json().catch(() => ({ detail: "导出失败" })); + throw new Error(errorData.detail || `HTTP ${res.status}`); + } + blob = await res.blob(); + filename = `report_${queryId}_${new Date().toISOString().split("T")[0]}.csv`; + } else { + blob = await api.reports.exportPDF(session.accessToken, queryId); + filename = `report_${queryId}_${new Date().toISOString().split("T")[0]}.pdf`; } - const blob = await res.blob(); const downloadUrl = window.URL.createObjectURL(blob); const a = document.createElement("a"); a.href = downloadUrl; - const filename = selectedQuery - ? `report_${selectedQuery}_${new Date().toISOString().split("T")[0]}.csv` - : `report_all_${new Date().toISOString().split("T")[0]}.csv`; a.download = filename; document.body.appendChild(a); a.click(); @@ -93,8 +170,45 @@ export default function ReportsPage() { } } + const statCards = [ + { + title: "总查询", + value: stats?.total_queries ?? 0, + icon: Search, + color: "text-blue-600", + bg: "bg-blue-50", + }, + { + title: "引用次数", + value: stats?.total_citations ?? 0, + icon: Quote, + color: "text-emerald-600", + bg: "bg-emerald-50", + }, + { + title: "引用率", + value: stats ? `${stats.citation_rate.toFixed(1)}%` : "0%", + icon: Percent, + color: "text-violet-600", + bg: "bg-violet-50", + }, + { + title: "平均位置", + value: stats?.avg_position ? stats.avg_position.toFixed(1) : "-", + icon: BarChart3, + color: "text-amber-600", + bg: "bg-amber-50", + }, + ]; + + function formatDate(dateStr: string) { + if (!dateStr) return "-"; + const d = new Date(dateStr); + return d.toLocaleDateString("zh-CN") + " " + d.toLocaleTimeString("zh-CN", { hour: "2-digit", minute: "2-digit" }); + } + return ( -
+

报告导出

导出引用检测数据为报告文件

@@ -126,21 +240,6 @@ export default function ReportsPage() {
-
- - -

- 目前仅支持 CSV 格式导出 -

-
- {error && (
@@ -155,18 +254,33 @@ export default function ReportsPage() {
)} - +
+ + +
@@ -179,7 +293,7 @@ export default function ReportsPage() {

1. 选择要导出的查询词

-

2. 目前支持 CSV 格式，可用 Excel 或 WPS 打开

+

2. 支持 CSV 和 PDF 两种格式导出

3. 导出文件包含以下字段：

  • 查询关键词
    • @@ -194,6 +308,94 @@ export default function ReportsPage() {
+ + {/* Stats Preview */} +
+

数据概览

+
+ {statCards.map((card) => ( + + +
+ +
+
+

{card.title}

+

+ {previewLoading ? : card.value} +

+
+ + + ))} +
+
+ + {/* Recent Citations */} + + + 最近引用记录 + 最近 10 条引用检测结果 + + +
+ + + + 平台 + 状态 + 位置 + 引用文本 + 竞争品牌 + 检测时间 + + + + {previewLoading ? ( + + + + + + ) : recentCitations.length === 0 ? ( + + + 暂无引用记录 + + + ) : ( + recentCitations.map((c) => ( + + {c.platform} + + {c.cited ? ( + + 已引用 + + ) : ( + 未引用 + )} + + {c.citation_position ?? "-"} + + {c.citation_text || "-"} + + + {c.competitor_brands?.length > 0 ? c.competitor_brands.join(", ") : "-"} + + {formatDate(c.queried_at)} + + )) + )} + +
+
+ +
); } + +function cn(...classes: (string | undefined | false)[]) { + return classes.filter(Boolean).join(" "); +} diff --git a/frontend/app/(dashboard)/dashboard/settings/page.tsx b/frontend/app/(dashboard)/dashboard/settings/page.tsx index 0265b93..f825a7b 100644 --- a/frontend/app/(dashboard)/dashboard/settings/page.tsx +++ b/frontend/app/(dashboard)/dashboard/settings/page.tsx @@ -1,81 +1,405 @@ "use client"; +import { useEffect, useState } from "react"; import { useSession } from "next-auth/react"; import { Card, CardContent, CardHeader, CardTitle, CardDescription } from "@/components/ui/card"; import { Badge } from "@/components/ui/badge"; -import { User, Crown, Check, X } from "lucide-react"; +import { Button } from "@/components/ui/button"; +import { Input } from "@/components/ui/input"; +import { Label } from "@/components/ui/label"; +import { Tabs, TabsContent, TabsList, TabsTrigger } from "@/components/ui/tabs"; +import { + Dialog, + DialogContent, + DialogDescription, + DialogFooter, + DialogHeader, + DialogTitle, +} from "@/components/ui/dialog"; +import { Crown, Check, X, Loader2, AlertTriangle, CheckCircle } from "lucide-react"; +import { api } from "@/lib/api"; -const PLANS = [ - { - key: "free", - name: "免费版", - price: "¥0", - period: "/月", - features: [ - { text: "最多 3 个查询词", included: true }, - { text: "每日查询 1 次", included: true }, - { text: "基础报告导出", included: true }, - { text: "2 个平台监测", included: true }, - { text: "高级分析图表", included: false }, - { text: "竞品对比分析", included: false }, - { text: "API 接口访问", included: false }, - { text: "优先技术支持", included: false }, - ], - }, - { - key: "starter", - name: "入门版", - price: "¥99", - period: "/月", - features: [ - { text: "最多 10 个查询词", included: true }, - { text: "每日查询 3 次", included: true }, - { text: "基础报告导出", included: true }, - { text: "4 个平台监测", included: true }, - { text: "高级分析图表", included: true }, - { text: "竞品对比分析", included: false }, - { text: "API 接口访问", included: false }, - { text: "优先技术支持", included: false }, - ], - }, - { - key: "pro", - name: "专业版", - price: "¥299", - period: "/月", - features: [ - { text: "最多 50 个查询词", included: true }, - { text: "每日查询 10 次", included: true }, - { text: "高级报告导出", included: true }, - { text: "全部平台监测", included: true }, - { text: "高级分析图表", included: true }, - { text: "竞品对比分析", included: true }, - { text: "API 接口访问", included: false }, - { text: "优先技术支持", included: true }, - ], - }, - { - key: "business", - name: "企业版", - price: "¥999", - period: "/月", - features: [ - { text: "无限查询词", included: true }, - { text: "无限查询次数", included: true }, - { text: "定制化报告", included: true }, - { text: "全部平台监测", included: true }, - { text: "高级分析图表", included: true }, - { text: "竞品对比分析", included: true }, - { text: "API 接口访问", included: true }, - { text: "专属客户经理", included: true }, - ], - }, -]; +interface PlanFeature { + name: string; + included: boolean; +} + +interface PlanDetail { + id: string; + name: string; + price: number; + max_queries: number; + features: PlanFeature[]; +} + +interface SubscriptionData { + id: string; + plan: string; + status: string; + start_date: string; + end_date: string; + amount: number | null; + payment_method: string | null; + created_at: string; +} + +function ProfileTab() { + const { data: session, update } = useSession(); + const [name, setName] = useState(session?.user?.name || ""); + const [loading, setLoading] = useState(false); + const [error, setError] = useState(""); + const [success, setSuccess] = useState(false); + + const handleSave = async (e: React.FormEvent) => { + e.preventDefault(); + if (!session?.accessToken) return; + setLoading(true); + setError(""); + setSuccess(false); + try { + await api.auth.updateProfile(session.accessToken, { name }); + await update({ name }); + setSuccess(true); + } catch (err: unknown) { + const message = err instanceof Error ? err.message : "保存失败"; + setError(message); + } finally { + setLoading(false); + } + }; + + return ( +
+ {error &&

{error}

} + {success &&

个人资料已更新

} +
+ + setName(e.target.value)} + placeholder="请输入用户名" + /> +
+
+ + +
+ +
+ ); +} + +function PasswordTab() { + const { data: session } = useSession(); + const [oldPassword, setOldPassword] = useState(""); + const [newPassword, setNewPassword] = useState(""); + const [confirmPassword, setConfirmPassword] = useState(""); + const [loading, setLoading] = useState(false); + const [error, setError] = useState(""); + const [success, setSuccess] = useState(false); + + const handleSubmit = async (e: React.FormEvent) => { + e.preventDefault(); + setError(""); + setSuccess(false); + + if (newPassword.length < 8) { + setError("新密码至少需要 8 位"); + return; + } + if (newPassword !== confirmPassword) { + setError("两次输入的新密码不一致"); + return; + } + if (!session?.accessToken) { + setError("登录已过期，请重新登录"); + return; + } + + setLoading(true); + try { + await api.auth.changePassword(session.accessToken, oldPassword, newPassword); + setSuccess(true); + setOldPassword(""); + setNewPassword(""); + setConfirmPassword(""); + } catch (err: unknown) { + const message = err instanceof Error ? err.message : "修改失败"; + setError(message); + } finally { + setLoading(false); + } + }; + + return ( +
+ {error &&

{error}

} + {success &&

密码修改成功

} +
+ + setOldPassword(e.target.value)} + required + /> +
+
+ + setNewPassword(e.target.value)} + required + /> +
+
+ + setConfirmPassword(e.target.value)} + required + /> +
+ +
+ ); +} + +function SubscriptionTab() { + const { data: session } = useSession(); + const [plans, setPlans] = useState([]); + const [currentSub, setCurrentSub] = useState(null); + const [loading, setLoading] = useState(false); + const [error, setError] = useState(null); + const [success, setSuccess] = useState(null); + + const [dialogOpen, setDialogOpen] = useState(false); + const [dialogType, setDialogType] = useState<"subscribe" | "cancel">("subscribe"); + const [selectedPlan, setSelectedPlan] = useState(""); + const [actionLoading, setActionLoading] = useState(false); + + const token = session?.accessToken; + const currentPlan = currentSub?.plan || "free"; + + useEffect(() => { + loadData(); + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [token]); + + async function loadData() { + setLoading(true); + setError(null); + try { + const plansData = await api.subscriptions.getPlans(); + setPlans(plansData); + if (token) { + try { + const subData = await api.subscriptions.getCurrent(token); + setCurrentSub(subData); + } catch { + // 暂无订阅记录，保持 null + setCurrentSub(null); + } + } + } catch (err) { + setError(err instanceof Error ? err.message : "加载失败"); + } finally { + setLoading(false); + } + } + + function openSubscribeDialog(planId: string) { + setSelectedPlan(planId); + setDialogType("subscribe"); + setDialogOpen(true); + } + + function openCancelDialog() { + setDialogType("cancel"); + setDialogOpen(true); + } + + async function handleConfirm() { + if (!token) return; + setActionLoading(true); + setSuccess(null); + try { + if (dialogType === "subscribe") { + await api.subscriptions.subscribe(token, selectedPlan); + setSuccess("订阅成功"); + } else { + await api.subscriptions.cancel(token); + setSuccess("订阅已取消"); + } + await loadData(); + setDialogOpen(false); + setTimeout(() => setSuccess(null), 3000); + } catch (err) { + setError(err instanceof Error ? err.message : "操作失败"); + setDialogOpen(false); + } finally { + setActionLoading(false); + } + } + + const currentPlanName = plans.find((p) => p.id === currentPlan)?.name || currentPlan; + + return ( +
+ {error && ( +
+ + {error} +
+ )} + + {success && ( +
+ + {success} +
+ )} + + + + 当前套餐 + + +
+
+ +
+
+

{currentPlanName}

+
+ 当前套餐 + {currentSub?.status && ( + + 状态: {currentSub.status === "active" ? "生效中" : currentSub.status} + + )} +
+
+
+ {currentPlan !== "free" && currentSub && ( +
+

有效期: {currentSub.start_date} 至 {currentSub.end_date}

+ {currentSub.amount &&

金额: ¥{currentSub.amount}

} +
+ )} + {currentPlan !== "free" && ( + + )} + + + +
+

套餐对比

+ {loading ? ( +
+ +
+ ) : ( +
+ {plans.map((plan) => { + const isCurrent = plan.id === currentPlan; + const canUpgrade = plan.id !== currentPlan; + return ( + + + {plan.name} + + ¥{plan.price} + /月 + + + +
    + {plan.features.map((feature, idx) => ( +
  • + {feature.included ? ( + + ) : ( + + )} + + {feature.name} + +
    • + ))} +
+ {isCurrent ? ( + + 当前套餐 + + ) : canUpgrade ? ( + + ) : null} + + + ); + })} +
+ )} +
+ + + + + + {dialogType === "subscribe" ? "确认订阅" : "取消订阅"} + + + {dialogType === "subscribe" + ? `确认使用模拟支付订阅「${plans.find((p) => p.id === selectedPlan)?.name || selectedPlan}」套餐？` + : "确认取消当前订阅？取消后将在当前计费周期结束后恢复为免费版。"} + + + + + + + + +
+ ); +} export default function SettingsPage() { - const { data: session } = useSession(); - const currentPlan = "free"; // MVP阶段默认免费版 - return (
@@ -83,89 +407,38 @@ export default function SettingsPage() {

管理您的账户和订阅信息

- - - 用户信息 - - -
-
- -
-
-

{session?.user?.name || "未设置姓名"}

-

{session?.user?.email || "—"}

-
-
-
-
- -
-
-

当前套餐

-
- {PLANS.find((p) => p.key === currentPlan)?.name || "免费版"} - MVP 阶段所有功能免费开放 -
-
-
- - - -
-

套餐对比

-
- {PLANS.map((plan) => ( - - - {plan.name} - - {plan.price} - {plan.period} - - - -
    - {plan.features.map((feature, idx) => ( -
  • - {feature.included ? ( - - ) : ( - - )} - - {feature.text} - -
    • - ))} -
- {plan.key === currentPlan && ( - - 当前套餐 - - )} - - - ))} -
-
- - - - MVP 阶段说明 - - -

- 当前处于 GEO 平台 MVP 阶段，所有功能均可免费使用。正式版上线后将启用套餐限制，届时您可以选择适合您的订阅方案。 -

-

- 如有任何问题或建议，欢迎通过平台反馈渠道联系我们。 -

- - + + + 个人资料 + 密码修改 + 订阅管理 + + + + + 个人资料 + 管理您的基本信息 + + + + + + + + + + 密码修改 + 更改您的登录密码 + + + + + + + + + +
); } diff --git a/frontend/components/layout/sidebar.tsx b/frontend/components/layout/sidebar.tsx index 876016a..49c6a3c 100644 --- a/frontend/components/layout/sidebar.tsx +++ b/frontend/components/layout/sidebar.tsx @@ -2,6 +2,7 @@ import Link from "next/link"; import { usePathname } from "next/navigation"; +import { useSession } from "next-auth/react"; import { cn } from "@/lib/utils"; import { LayoutDashboard, @@ -9,9 +10,10 @@ import { Quote, FileDown, Settings, + Shield, } from "lucide-react"; -const navItems = [ +const baseNavItems = [ { name: "数据总览", href: "/dashboard", icon: LayoutDashboard }, { name: "查询管理", href: "/dashboard/queries", icon: Search }, { name: "引用记录", href: "/dashboard/citations", icon: Quote }, @@ -21,6 +23,11 @@ const navItems = [ export function Sidebar() { const pathname = usePathname(); + const { data: session } = useSession(); + + const navItems = session?.user?.is_admin + ? [...baseNavItems, { name: "管理后台", href: "/dashboard/admin", icon: Shield }] + : baseNavItems; return (