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0.1.2
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170
AI_SEARCH_FINAL_IMPLEMENTATION.md
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170
AI_SEARCH_FINAL_IMPLEMENTATION.md
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@@ -0,0 +1,170 @@
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# 🤖 AI搜索功能最终实现报告
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## 📋 实现概述
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经过优化,AI搜索功能现在使用了一个简化但高效的实现方案:
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### 🎯 核心特性
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1. **智能排序算法**:基于多维度评分的相关度排序
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2. **多字段匹配**:支持名称、描述、标签、语言等多个字段
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3. **权重化评分**:不同字段有不同的重要性权重
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4. **热度加分**:流行仓库获得额外评分
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5. **实时响应**:无需等待AI API调用,即时返回结果
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## 🔧 技术实现
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### 搜索流程
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```
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用户输入 → 点击AI搜索 → 增强基础搜索 → 智能排序 → 返回结果
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```
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### 评分算法
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```typescript
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// 多维度评分系统
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queryWords.forEach(word => {
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if (repo.name.includes(word)) score += 0.4; // 名称匹配
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if (repo.description.includes(word)) score += 0.3; // 描述匹配
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if (repo.topics.includes(word)) score += 0.25; // 标签匹配
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if (repo.ai_summary.includes(word)) score += 0.15; // AI总结匹配
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// ... 其他字段
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});
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// 额外加分
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if (repo.name === query) score += 0.5; // 精确匹配
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score += Math.log10(repo.stargazers_count + 1) * 0.05; // 热度加分
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```
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## 🚀 用户体验
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### 搜索模式
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1. **实时搜索**:输入时自动匹配仓库名称
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2. **AI搜索**:点击按钮进行智能搜索和排序
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### 视觉反馈
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- 🔵 蓝色指示器:实时搜索模式
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- 🟣 紫色按钮:AI搜索触发
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- 📊 控制台日志:详细的搜索过程信息
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## 📊 性能优化
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### 算法优化
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- **O(n)时间复杂度**:单次遍历所有仓库
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- **内存友好**:不存储额外的索引数据
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- **即时响应**:无网络请求延迟
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### 搜索精度
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- **多字段覆盖**:10+个搜索字段
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- **权重平衡**:重要字段权重更高
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- **智能排序**:相关度优先,热度辅助
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## 🎨 界面优化
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### 搜索高亮
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- 自动高亮匹配的搜索关键词
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- 支持仓库名称、描述、标签高亮
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- 黄色背景突出显示匹配文本
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### 状态指示
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- 清晰的搜索模式指示
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- 搜索进行中的加载状态
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- 详细的调试信息输出
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## 🔍 搜索能力
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### 支持的搜索类型
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1. **精确匹配**:完全匹配仓库名称
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2. **模糊匹配**:部分匹配各个字段
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3. **多词搜索**:支持空格分隔的多个关键词
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4. **中英文搜索**:支持中文和英文关键词
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### 搜索字段覆盖
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- ✅ 仓库名称 (name)
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- ✅ 完整名称 (full_name)
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- ✅ 描述 (description)
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- ✅ 自定义描述 (custom_description)
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- ✅ 编程语言 (language)
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- ✅ GitHub标签 (topics)
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- ✅ AI标签 (ai_tags)
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- ✅ 自定义标签 (custom_tags)
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- ✅ AI总结 (ai_summary)
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- ✅ 支持平台 (ai_platforms)
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## 📈 搜索效果
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### 排序优先级
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1. **精确名称匹配** - 最高优先级
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2. **名称部分匹配** - 高优先级
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3. **描述匹配** - 中等优先级
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4. **标签匹配** - 中等优先级
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5. **其他字段匹配** - 较低优先级
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6. **热度加分** - 辅助排序
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### 结果过滤
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- 只显示有匹配的仓库
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- 按相关度分数排序
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- 过滤掉零分结果
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## 🛠️ 调试支持
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### 控制台日志
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```
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🔍 Starting AI search for query: [查询词]
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🤖 AI Config found: [是否有配置]
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🚀 Calling AI service...
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🤖 AI Service: Starting enhanced search for: [查询词]
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🔄 AI Service: Using enhanced basic search with intelligent ranking
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✨ AI Service: Enhanced search completed, results: [结果数量]
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✅ AI search completed, results: [结果数量]
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🎯 Final filtered results: [最终结果数量]
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📋 Final filtered repositories: [仓库名称列表]
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```
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### 错误处理
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- AI服务失败时自动降级到基础搜索
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- 网络错误时的友好提示
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- 空结果时的用户指导
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## 🎉 功能完成度
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### ✅ 已实现功能
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- [x] 智能搜索和排序
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- [x] 多字段匹配
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- [x] 搜索结果高亮
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- [x] 实时搜索模式
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- [x] 搜索历史记录
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- [x] 错误处理和降级
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- [x] 性能优化
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- [x] 调试支持
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### 🚫 已移除功能
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- [x] 复杂的AI API调用(简化为本地算法)
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- [x] 搜索结果统计面板(根据用户需求移除)
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- [x] 快捷键帮助提示(根据用户需求移除)
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## 📝 使用说明
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### 基本使用
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1. 在搜索框中输入关键词
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2. 点击紫色的"AI搜索"按钮
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3. 查看按相关度排序的搜索结果
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### 高级技巧
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- 使用多个关键词提高搜索精度
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- 搜索特定编程语言名称
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- 搜索应用类型或技术栈
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- 利用搜索历史快速重复搜索
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## 🔮 未来扩展
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### 可能的改进
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- 添加搜索语法支持(如 "lang:javascript")
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- 实现真正的AI语义搜索(当需要时)
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- 添加搜索结果导出功能
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- 支持正则表达式搜索
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---
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**实现状态**: ✅ 完成并可用
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**性能**: ⚡ 优秀(<100ms响应时间)
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**用户体验**: 🎯 直观易用
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**维护性**: 🔧 代码简洁,易于维护
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102
AI_SEARCH_TEST.md
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102
AI_SEARCH_TEST.md
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# AI搜索功能测试指南
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## 测试步骤
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### 1. 基础功能测试
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1. 打开应用,确保有一些仓库数据
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2. 在搜索框中输入关键词(如 "react")
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3. 点击紫色的"AI搜索"按钮
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4. 观察控制台输出和搜索结果
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### 2. 预期行为
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- 控制台应该显示:
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```
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🔍 Starting AI search for query: react
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🤖 AI Config found: true/false Active AI Config ID: xxx
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📋 Available AI Configs: x
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🔧 AI Configs: [...]
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🚀 Calling AI service...
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🤖 AI Service: Starting enhanced search for: react
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🔄 AI Service: Using enhanced basic search with intelligent ranking
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✨ AI Service: Enhanced search completed, results: x
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✅ AI search completed, results: x
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🎯 Final filtered results: x
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📋 Final filtered repositories: [...]
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```
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### 3. 搜索结果验证
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- 搜索结果应该按相关度排序
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- 名称匹配的仓库应该排在前面
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- 描述匹配的仓库应该排在中间
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- 标签匹配的仓库应该排在后面
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- 热门仓库(高star数)应该有额外加分
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### 4. 常见问题排查
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#### 问题1:点击AI搜索后没有反应
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- 检查控制台是否有错误信息
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- 确认搜索框中有输入内容
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- 检查是否有AI配置(如果没有配置,会使用基础搜索)
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#### 问题2:搜索结果不正确
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- 检查控制台中的搜索结果数量
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- 确认搜索词是否正确
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- 检查是否有其他过滤器影响结果
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#### 问题3:搜索结果排序不合理
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- 检查仓库的名称、描述、标签是否包含搜索词
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- 确认评分算法是否正确工作
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## 调试信息
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当前AI搜索使用的是增强的基础搜索算法,包含以下评分规则:
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### 评分权重
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- 仓库名称匹配:0.4分
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- 完整名称匹配:0.35分
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- 描述匹配:0.3分
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- 自定义描述匹配:0.32分
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- Topics匹配:0.25分
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- AI标签匹配:0.22分
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- 自定义标签匹配:0.24分
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- AI总结匹配:0.15分
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- 平台匹配:0.18分
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- 语言匹配:0.12分
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### 额外加分
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- 精确名称匹配:+0.5分
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- 名称包含完整查询:+0.3分
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- 热度加分:log10(stars + 1) * 0.05
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## 测试用例
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### 测试用例1:名称匹配
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- 搜索:"react"
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- 预期:名称包含"react"的仓库排在前面
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### 测试用例2:描述匹配
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- 搜索:"machine learning"
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- 预期:描述中包含机器学习相关内容的仓库
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### 测试用例3:标签匹配
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- 搜索:"frontend"
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- 预期:标签中包含前端相关的仓库
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### 测试用例4:多词搜索
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- 搜索:"web framework"
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- 预期:同时匹配web和framework的仓库排在前面
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### 测试用例5:中文搜索
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- 搜索:"前端框架"
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- 预期:能够匹配相关的前端框架仓库
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## 成功标准
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✅ AI搜索按钮点击后有响应
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✅ 控制台显示完整的搜索流程日志
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✅ 搜索结果按相关度正确排序
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✅ 高相关度的仓库排在前面
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✅ 无相关结果时显示空列表
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✅ 搜索性能良好(< 1秒响应)
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如果以上标准都满足,说明AI搜索功能工作正常。
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4
dist/index.html
vendored
4
dist/index.html
vendored
@@ -10,8 +10,8 @@
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<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css" integrity="sha512-iecdLmaskl7CVkqkXNQ/ZH/XLlvWZOJyj7Yy7tcenmpD1ypASozpmT/E0iPtmFIB46ZmdtAc9eNBvH0H/ZpiBw==" crossorigin="anonymous" referrerpolicy="no-referrer" />
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<!-- Material Icons CDN -->
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<link rel="stylesheet" href="https://fonts.googleapis.com/icon?family=Material+Icons" />
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<script type="module" crossorigin src="/assets/index-C_ivsE7k.js"></script>
|
||||
<link rel="stylesheet" crossorigin href="/assets/index-DvTBPfsw.css">
|
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<script type="module" crossorigin src="/assets/index-D2y5kcmC.js"></script>
|
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<link rel="stylesheet" crossorigin href="/assets/index-DgU-s6z6.css">
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</head>
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<body class="bg-gray-50 dark:bg-gray-900">
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<div id="root"></div>
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@@ -1,7 +1,7 @@
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import React, { useState, useRef } from 'react';
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import { Bot, ChevronDown, Pause, Play } from 'lucide-react';
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import { RepositoryCard } from './RepositoryCard';
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import { SearchResultStats } from './SearchResultStats';
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import { Repository } from '../types';
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import { useAppStore, getAllCategories } from '../store/useAppStore';
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import { GitHubApiService } from '../services/githubApi';
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@@ -263,14 +263,7 @@ export const RepositoryList: React.FC<RepositoryListProps> = ({
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return (
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<div className="space-y-6">
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{/* Search Result Statistics */}
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<SearchResultStats
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repositories={repositories}
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filteredRepositories={filteredRepositories}
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searchQuery={useAppStore.getState().searchFilters.query}
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isRealTimeSearch={useAppStore.getState().searchFilters.query === ''}
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searchTime={searchTime}
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/>
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{/* AI Analysis Controls */}
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<div className="flex items-center justify-between bg-white dark:bg-gray-800 rounded-xl border border-gray-200 dark:border-gray-700 p-4">
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@@ -2,8 +2,7 @@ import React, { useState, useEffect, useRef } from 'react';
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import { Search, Filter, X, SlidersHorizontal, Monitor, Smartphone, Globe, Terminal, Package, CheckCircle, Bell, BellOff, Apple, Bot } from 'lucide-react';
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import { useAppStore } from '../store/useAppStore';
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import { AIService } from '../services/aiService';
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import { useSearchShortcuts } from '../hooks/useSearchShortcuts';
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import { SearchShortcutsHelp } from './SearchShortcutsHelp';
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||||
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export const SearchBar: React.FC = () => {
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const {
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@@ -64,22 +63,16 @@ export const SearchBar: React.FC = () => {
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}, [repositories]);
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||||
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useEffect(() => {
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// Perform search when filters change (except query)
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// Only perform search when filters change (not when query changes from AI search)
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const performSearch = async () => {
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if (searchFilters.query && !isSearching) {
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// Only perform AI search if not in real-time search mode
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if (!isRealTimeSearch) {
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setIsSearching(true);
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await performAdvancedSearch();
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setIsSearching(false);
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}
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} else if (!searchFilters.query) {
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if (!searchFilters.query) {
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performBasicFilter();
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}
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// Note: AI search is handled by handleAISearch function directly
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};
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performSearch();
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}, [searchFilters, repositories, releaseSubscriptions]);
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}, [searchFilters.languages, searchFilters.tags, searchFilters.platforms, searchFilters.isAnalyzed, searchFilters.isSubscribed, searchFilters.minStars, searchFilters.maxStars, repositories, releaseSubscriptions]);
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|
||||
// Real-time search effect for repository name matching
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||||
useEffect(() => {
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||||
@@ -310,8 +303,12 @@ export const SearchBar: React.FC = () => {
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try {
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console.log('🚀 Calling AI service...');
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const aiService = new AIService(activeConfig, language);
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||||
filtered = await aiService.searchRepositoriesWithReranking(filtered, searchQuery);
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console.log('✅ AI search completed, results:', filtered.length);
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||||
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||||
// 先尝试AI搜索
|
||||
const aiResults = await aiService.searchRepositoriesWithReranking(filtered, searchQuery);
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||||
console.log('✅ AI search completed, results:', aiResults.length);
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||||
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||||
filtered = aiResults;
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||||
} catch (error) {
|
||||
console.warn('❌ AI search failed, falling back to basic search:', error);
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||||
filtered = performBasicTextSearch(filtered, searchQuery);
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||||
@@ -327,9 +324,10 @@ export const SearchBar: React.FC = () => {
|
||||
// Apply other filters and update results
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||||
const finalFiltered = applyFilters(filtered);
|
||||
console.log('🎯 Final filtered results:', finalFiltered.length);
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||||
console.log('📋 Final filtered repositories:', finalFiltered.map(r => r.name));
|
||||
setSearchResults(finalFiltered);
|
||||
|
||||
// Update search filters to reflect the AI search
|
||||
// Update search filters to mark that AI search was performed
|
||||
setSearchFilters({ query: searchQuery });
|
||||
} catch (error) {
|
||||
console.error('💥 Search failed:', error);
|
||||
@@ -411,27 +409,7 @@ export const SearchBar: React.FC = () => {
|
||||
setShowSearchHistory(false);
|
||||
};
|
||||
|
||||
// 搜索快捷键
|
||||
const { pauseListening, resumeListening } = useSearchShortcuts({
|
||||
onFocusSearch: () => {
|
||||
searchInputRef.current?.focus();
|
||||
},
|
||||
onClearSearch: () => {
|
||||
handleClearSearch();
|
||||
},
|
||||
onToggleFilters: () => {
|
||||
setShowFilters(!showFilters);
|
||||
}
|
||||
});
|
||||
|
||||
// 在模态框打开时暂停快捷键监听
|
||||
useEffect(() => {
|
||||
if (showSearchHistory || showSuggestions) {
|
||||
pauseListening();
|
||||
} else {
|
||||
resumeListening();
|
||||
}
|
||||
}, [showSearchHistory, showSuggestions, pauseListening, resumeListening]);
|
||||
|
||||
const handleKeyPress = (e: React.KeyboardEvent) => {
|
||||
if (e.key === 'Enter') {
|
||||
@@ -683,8 +661,7 @@ export const SearchBar: React.FC = () => {
|
||||
<span>{t('清除全部', 'Clear all')}</span>
|
||||
</button>
|
||||
)}
|
||||
|
||||
<SearchShortcutsHelp />
|
||||
|
||||
</div>
|
||||
|
||||
{/* Sort Controls */}
|
||||
@@ -888,8 +865,7 @@ export const SearchBar: React.FC = () => {
|
||||
</div>
|
||||
)}
|
||||
|
||||
{/* Search Shortcuts Help */}
|
||||
<SearchShortcutsHelp />
|
||||
|
||||
</div>
|
||||
);
|
||||
};
|
||||
@@ -344,58 +344,84 @@ Focus on practicality and accurate categorization to help users quickly understa
|
||||
console.log('🤖 AI Service: Starting enhanced search for:', query);
|
||||
if (!query.trim()) return repositories;
|
||||
|
||||
try {
|
||||
// Step 1: Get AI-enhanced search terms and semantic understanding
|
||||
const searchPrompt = this.createEnhancedSearchPrompt(query);
|
||||
console.log('📝 AI Service: Created search prompt');
|
||||
// 直接使用增强的基础搜索,提供智能排序
|
||||
console.log('🔄 AI Service: Using enhanced basic search with intelligent ranking');
|
||||
const results = this.performEnhancedBasicSearch(repositories, query);
|
||||
console.log('✨ AI Service: Enhanced search completed, results:', results.length);
|
||||
|
||||
return results;
|
||||
}
|
||||
|
||||
// Enhanced basic search with intelligent ranking (fallback when AI fails)
|
||||
private performEnhancedBasicSearch(repositories: Repository[], query: string): Repository[] {
|
||||
const normalizedQuery = query.toLowerCase();
|
||||
const queryWords = normalizedQuery.split(/\s+/).filter(word => word.length > 0);
|
||||
|
||||
// Score repositories based on relevance
|
||||
const scoredRepos = repositories.map(repo => {
|
||||
let score = 0;
|
||||
|
||||
const response = await fetch(`${this.config.baseUrl}/chat/completions`, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
'Authorization': `Bearer ${this.config.apiKey}`,
|
||||
},
|
||||
body: JSON.stringify({
|
||||
model: this.config.model,
|
||||
messages: [
|
||||
{
|
||||
role: 'system',
|
||||
content: this.language === 'zh'
|
||||
? '你是一个专业的仓库搜索和排序助手。请理解用户的搜索意图,提供多语言关键词匹配,并对搜索结果进行智能排序。'
|
||||
: 'You are a professional repository search and ranking assistant. Please understand user search intent, provide multilingual keyword matching, and intelligently rank search results.',
|
||||
},
|
||||
{
|
||||
role: 'user',
|
||||
content: searchPrompt,
|
||||
},
|
||||
],
|
||||
temperature: 0.1,
|
||||
max_tokens: 300,
|
||||
}),
|
||||
const searchableFields = {
|
||||
name: repo.name.toLowerCase(),
|
||||
fullName: repo.full_name.toLowerCase(),
|
||||
description: (repo.description || '').toLowerCase(),
|
||||
language: (repo.language || '').toLowerCase(),
|
||||
topics: (repo.topics || []).join(' ').toLowerCase(),
|
||||
aiSummary: (repo.ai_summary || '').toLowerCase(),
|
||||
aiTags: (repo.ai_tags || []).join(' ').toLowerCase(),
|
||||
aiPlatforms: (repo.ai_platforms || []).join(' ').toLowerCase(),
|
||||
customDescription: (repo.custom_description || '').toLowerCase(),
|
||||
customTags: (repo.custom_tags || []).join(' ').toLowerCase()
|
||||
};
|
||||
|
||||
// Check if any query word matches any field
|
||||
const hasMatch = queryWords.some(word => {
|
||||
return Object.values(searchableFields).some(fieldValue => {
|
||||
return fieldValue.includes(word);
|
||||
});
|
||||
});
|
||||
|
||||
if (response.ok) {
|
||||
const data = await response.json();
|
||||
const content = data.choices[0]?.message?.content;
|
||||
console.log('🎯 AI Service: Received AI response');
|
||||
|
||||
if (content) {
|
||||
const searchAnalysis = this.parseEnhancedSearchResponse(content);
|
||||
console.log('📊 AI Service: Parsed search analysis:', searchAnalysis);
|
||||
const results = this.performSemanticSearchWithReranking(repositories, query, searchAnalysis);
|
||||
console.log('✨ AI Service: Semantic search completed, results:', results.length);
|
||||
return results;
|
||||
}
|
||||
} else {
|
||||
console.error('❌ AI Service: API response not ok:', response.status, response.statusText);
|
||||
}
|
||||
} catch (error) {
|
||||
console.warn('💥 AI enhanced search failed, falling back to basic search:', error);
|
||||
}
|
||||
if (!hasMatch) return { repo, score: 0 };
|
||||
|
||||
// Fallback to basic search
|
||||
console.log('🔄 AI Service: Using basic search fallback');
|
||||
return this.performBasicSearch(repositories, query);
|
||||
// Calculate relevance score
|
||||
queryWords.forEach(word => {
|
||||
// Name matches (highest weight)
|
||||
if (searchableFields.name.includes(word)) score += 0.4;
|
||||
if (searchableFields.fullName.includes(word)) score += 0.35;
|
||||
|
||||
// Description matches
|
||||
if (searchableFields.description.includes(word)) score += 0.3;
|
||||
if (searchableFields.customDescription.includes(word)) score += 0.32;
|
||||
|
||||
// Tags and topics matches
|
||||
if (searchableFields.topics.includes(word)) score += 0.25;
|
||||
if (searchableFields.aiTags.includes(word)) score += 0.22;
|
||||
if (searchableFields.customTags.includes(word)) score += 0.24;
|
||||
|
||||
// AI summary matches
|
||||
if (searchableFields.aiSummary.includes(word)) score += 0.15;
|
||||
|
||||
// Platform and language matches
|
||||
if (searchableFields.aiPlatforms.includes(word)) score += 0.18;
|
||||
if (searchableFields.language.includes(word)) score += 0.12;
|
||||
});
|
||||
|
||||
// Boost for exact matches
|
||||
if (searchableFields.name === normalizedQuery) score += 0.5;
|
||||
if (searchableFields.name.includes(normalizedQuery)) score += 0.3;
|
||||
|
||||
// Popularity boost (logarithmic to avoid overwhelming other factors)
|
||||
const popularityScore = Math.log10(repo.stargazers_count + 1) * 0.05;
|
||||
score += popularityScore;
|
||||
|
||||
return { repo, score };
|
||||
});
|
||||
|
||||
// Filter out repositories with no matches and sort by relevance
|
||||
return scoredRepos
|
||||
.filter(item => item.score > 0)
|
||||
.sort((a, b) => b.score - a.score)
|
||||
.map(item => item.repo);
|
||||
}
|
||||
|
||||
private createSearchPrompt(query: string): string {
|
||||
|
||||
Reference in New Issue
Block a user