refactor: 项目整体优化

- 添加 github_trending_*.md 到 .gitignore
- 移除 data_pusher.py 中 commit message 的 emoji
- 统一代码中的日志输出格式，使用 [START]/[ERROR]/[WARN]/[DONE] 标签
- 使用 logo.svg 作为 favicon
- 优化 README.md，移除不必要的 emoji，增加命令行参数说明
- 删除临时文件

Author: wayyoungboy

.gitignore

@@ -19,6 +19,7 @@ build/
 
 # Output
 output/
+github_trending_*.md
 
 # IDE
 .idea/

README.md

@@ -1,19 +1,19 @@
-# 📈 GitHub Trending Reporter
+# GitHub Trending Reporter
 
 自动获取 GitHub Trending 数据，通过 LLM 进行智能分析，并生成可视化报告网站。
 
-## 🌐 在线访问
+## 在线访问
 
 **网站地址**: https://wayyoungboy.github.io/github-trending-reporter/
 
-## ✨ 功能特点
+## 功能特点
 
-- 🔍 **自动爬取** - 每日自动获取 GitHub Trending 热门项目
-- 🤖 **AI 分析** - 使用 LLM 对项目进行深度分析和趋势洞察
-- 📊 **可视化展示** - 使用 Docusaurus 生成美观的报告网站
-- ⏰ **定时运行** - 通过 GitHub Actions 实现全自动化
+- **自动爬取** - 每日自动获取 GitHub Trending 热门项目
+- **AI 分析** - 使用 LLM 对项目进行深度分析和趋势洞察
+- **可视化展示** - 使用 Docusaurus 生成美观的报告网站
+- **定时运行** - 通过 GitHub Actions 实现全自动化
 
-## 📁 项目结构
+## 项目结构
 
 ```
 github-trending-reporter/
@@ -26,13 +26,14 @@ github-trending-reporter/
 ├── main.py                  # 主程序
 ├── trending_scraper.py      # 爬虫模块
 ├── llm_analyzer.py          # LLM 分析模块
+├── data_pusher.py           # 数据推送模块
 ├── config.py                # 配置文件
 ├── docusaurus.config.js     # Docusaurus 配置
 ├── package.json             # Node.js 依赖
 └── requirements.txt         # Python 依赖
 ```
 
-## 🚀 快速开始
+## 快速开始
 
 ### 本地运行（仅生成报告）
 
@@ -58,7 +59,7 @@ npm install
 npm start
 ```
 
-## ⚙️ 配置
+## 配置
 
 ### 环境变量
 
@@ -67,7 +68,8 @@ npm start
 | `LLM_API_KEY` | LLM API 密钥 |
 | `LLM_BASE_URL` | LLM API 地址 |
 | `LLM_MODEL` | 模型名称 |
-| `GITHUB_API_TOKEN` | GitHub API Token |
+| `GITHUB_API_TOKEN` | GitHub API Token（用于爬取详细信息） |
+| `GITHUB_TOKEN` | GitHub Token（用于推送数据） |
 
 ### GitHub Actions Secrets
 
@@ -77,18 +79,34 @@ npm start
 - `LLM_MODEL`
 - `GITHUB_API_TOKEN`
 
-## 🔄 自动化流程
+## 自动化流程
 
-1. **定时触发** - 每天 UTC 00:00 自动运行
-2. **生成报告** - 爬取数据 → LLM 分析 → 生成 Markdown
-3. **提交更新** - 自动提交报告到仓库
-4. **部署网站** - 自动构建并部署到 GitHub Pages
+1. **定时触发** - 每天自动运行
+2. **数据采集** - 爬取 GitHub Trending 页面
+3. **API 增强** - 通过 GitHub API 获取详细信息
+4. **LLM 分析** - AI 深度分析项目
+5. **生成报告** - 输出 Markdown 格式报告
+6. **部署网站** - 自动构建并部署到 GitHub Pages
 
-## 🔗 相关链接
+## 命令行参数
+
+```bash
+python main.py [OPTIONS]
+
+Options:
+  -l, --language TEXT    按编程语言筛选 (如 python, javascript)
+  -s, --since TEXT       时间范围: daily, weekly, monthly (默认: daily)
+  --no-push              不推送到 GitHub 仓库
+  --local                保存到本地文件
+  --date TEXT            指定日期 (格式: YYYY-MM-DD)
+  --no-detailed          跳过项目深度分析
+```
+
+## 相关链接
 
 - [GitHub Trending](https://github.com/trending)
 - [Docusaurus](https://docusaurus.io/)
 
 ---
 
-Built with ❤️ using Python + Docusaurus
+Built with Python + Docusaurus

data_pusher.py

@@ -66,7 +66,7 @@ def push_report(self, content: str, date_str: str) -> bool:
             True if successful
         """
         file_path = self._get_file_path(date_str, "report")
-        commit_message = f"📈 Add trending report for {date_str}"
+        commit_message = f"Add trending report for {date_str}"
 
         return self._create_or_update_file(file_path, content, commit_message)
 
@@ -92,7 +92,7 @@ def push_raw_data(self, repos: List[Dict], date_str: str) -> bool:
         }
 
         content = json.dumps(data, indent=2, ensure_ascii=False)
-        commit_message = f"📊 Add raw data for {date_str}"
+        commit_message = f"Add raw data for {date_str}"
 
         return self._create_or_update_file(file_path, content, commit_message)
 
@@ -164,15 +164,15 @@ def update_readme(self, date_str: str) -> bool:
         Returns:
             True if successful
         """
-        readme_content = f"""# 📈 GitHub Trending Reporter Data
+        readme_content = f"""# GitHub Trending Reporter Data
 
 This repository stores daily GitHub trending data and AI-generated analysis reports.
 
-## 📅 Latest Report
+## Latest Report
 
-📄 **[{date_str}](reports/{date_str[:4]}/{date_str[5:7]}/{date_str}.md)**
+**[{date_str}](reports/{date_str[:4]}/{date_str[5:7]}/{date_str}.md)**
 
-## 📁 Repository Structure
+## Repository Structure
 
 ```
 ├── reports/          # Markdown reports with AI analysis
@@ -186,12 +186,12 @@ def update_readme(self, date_str: str) -> bool:
 └── README.md
 ```
 
-## 🔗 Links
+## Links
 
 - [GitHub Trending](https://github.com/trending)
 - [Source Code](https://github.com/{self.repo_owner}/github-trending-reporter)
 
-## 📊 Data Format
+## Data Format
 
 Each JSON file contains:
 - `date`: Report date
@@ -204,7 +204,7 @@ def update_readme(self, date_str: str) -> bool:
 *This data is automatically updated daily by GitHub Actions.*
 """
 
-        return self._create_or_update_file("README.md", readme_content, f"📝 Update README for {date_str}")
+        return self._create_or_update_file("README.md", readme_content, f"Update README for {date_str}")
 
 
 def push_data(repos: List[Dict], report: str, date_str: str) -> Dict[str, bool]:

docusaurus.config.js

@@ -5,7 +5,7 @@ import {themes as prismThemes} from 'prism-react-renderer';
 const config = {
   title: 'GitHub Trending Reporter',
   tagline: '每日 GitHub 热门项目追踪与 AI 分析',
-  favicon: 'img/favicon.ico',
+  favicon: 'img/logo.svg',
 
   url: 'https://wayyoungboy.github.io',
   baseUrl: '/github-trending-reporter/',

llm_analyzer.py

@@ -365,7 +365,7 @@ def generate_daily_report(self, repos: List[Dict], date_str: str, detailed_analy
             Complete markdown report with Docusaurus frontmatter
         """
         # 获取热点总结
-        print("🤖 Generating trend analysis...")
+        print("Generating trend analysis...")
         trend_analysis = self.analyze_trends(repos)
 
         # 解析热点总结
@@ -424,14 +424,14 @@ def generate_daily_report(self, repos: List[Dict], date_str: str, detailed_analy
             top_repos = sorted(repos, key=lambda x: x.get('stars_today', 0), reverse=True)
 
             for i, repo in enumerate(top_repos, 1):
-                print(f"🔍 Analyzing project {i}/{len(top_repos)}: {repo.get('full_name')}...")
+                print(f"  Analyzing project {i}/{len(top_repos)}: {repo.get('full_name')}...")
 
                 try:
                     detailed = self.analyze_single_repo_detailed(repo, i)
                     report_parts.append(detailed)
                     report_parts.append("\n")
                 except Exception as e:
-                    print(f"  ⚠️ Error analyzing {repo.get('full_name')}: {e}")
+                    print(f"  [WARN] Error analyzing {repo.get('full_name')}: {e}")
                     # 生成简化版本
                     report_parts.append(self._generate_fallback_analysis(repo, i))
                     report_parts.append("\n---\n")

main.py

@@ -43,66 +43,66 @@ def run_report(
     if date_str is None:
         date_str = datetime.now().strftime("%Y-%m-%d")
 
-    print(f"🚀 Starting GitHub Trending Report for {date_str}")
-    print(f"   Language filter: {language or 'All'}")
-    print(f"   Time range: {since}")
-    print(f"   Analysis type: {analysis_type}")
-    print(f"   Detailed analysis: {'Yes (Top 5 projects)' if detailed_analysis else 'No'}")
+    print(f"[START] GitHub Trending Report for {date_str}")
+    print(f"  Language filter: {language or 'All'}")
+    print(f"  Time range: {since}")
+    print(f"  Analysis type: {analysis_type}")
+    print(f"  Detailed analysis: {'Yes' if detailed_analysis else 'No'}")
     print()
 
     # Step 1: Fetch trending repositories
-    print("📥 Fetching trending repositories...")
+    print("[1/4] Fetching trending repositories...")
     try:
         repos = fetch_trending(language=language, since=since)
-        print(f"   Found {len(repos)} repositories")
+        print(f"  Found {len(repos)} repositories")
     except Exception as e:
-        print(f"❌ Error fetching trending data: {e}")
+        print(f"[ERROR] Fetching trending data: {e}")
         return False
 
     if not repos:
-        print("⚠️  No repositories found")
+        print("[WARN] No repositories found")
         return False
 
     # Step 2: Analyze with LLM
-    print("🤖 Analyzing with LLM...")
+    print("[2/4] Analyzing with LLM...")
     try:
         analyzer = LLMAnalyzer()
         report = analyzer.generate_daily_report(repos, date_str, detailed_analysis=detailed_analysis)
-        print("   Analysis complete")
+        print("  Analysis complete")
     except Exception as e:
-        print(f"❌ Error during LLM analysis: {e}")
+        print(f"[ERROR] LLM analysis: {e}")
         # Generate basic report without LLM analysis
         report = generate_basic_report(repos, date_str)
-        print("   Generated basic report without LLM analysis")
+        print("  Generated basic report without LLM analysis")
 
     # Step 3: Save locally if requested
     if output_local:
-        print("💾 Saving locally...")
+        print("[3/4] Saving locally...")
         try:
             save_local(repos, report, date_str)
-            print("   Saved to local files")
+            print("  Saved to local files")
         except Exception as e:
-            print(f"⚠️  Error saving locally: {e}")
+            print(f"[WARN] Saving locally: {e}")
 
     # Step 4: Push to repository if requested
     if push_to_repo:
-        print("📤 Pushing to repository...")
+        print("[4/4] Pushing to repository...")
         try:
             pusher = DataPusher()
             results = pusher.push_all(repos, report, date_str)
             pusher.update_readme(date_str)
 
             if results["raw_data"] and results["report"]:
-                print("   Successfully pushed to repository")
+                print("  Successfully pushed to repository")
             else:
-                print("⚠️  Some files failed to push")
+                print("[WARN] Some files failed to push")
                 return False
         except Exception as e:
-            print(f"❌ Error pushing to repository: {e}")
+            print(f"[ERROR] Pushing to repository: {e}")
             return False
 
     print()
-    print("✅ Report generation complete!")
+    print("[DONE] Report generation complete!")
     return True