初始提交

.cursorrules

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+你是一个 Python开发方面的专家，在生成commit信息方面，你只会用中文语言，并遵循下面模板，在其他方面保持默认。
+
+---
+
+### 提交信息格式模板：
+
+1. 遵循以下模板：  
+<类型>(<范围>): <简要描述>
+
+2. 指南：
+
+- 每行字符限制为 72 个字符。
+- 必须包含 Header；Body 和 Footer 可选。
+- 开头使用动词。
+- 提供必要的上下文。
+- 使用中文书写。
+
+3. 类型：
+
+- feat：新功能
+- fix：修复 Bug
+- docs：文档更新
+- style：代码格式调整（不涉及逻辑变化）
+- refactor：代码重构
+- test：新增或修改测试
+- chore：构建或工具相关更改

.github/workflows/deploy.yml

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+name: Deploy Pages
+
+on:
+  push:
+    branches: [ main ] # 或者你的默认分支名
+    paths:
+      - 'src/**'  # 只有当 src 目录下的文件发生变化时才触发
+  workflow_dispatch:
+
+jobs:
+  deploy:
+    runs-on: ubuntu-latest
+    permissions:
+      contents: write # 添加写入权限
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          fetch-depth: 0 # 获取完整的 git 历史
+
+      - name: Setup Node.js
+        uses: actions/setup-node@v3
+        with:
+          node-version: '18'
+
+      - name: Setup pnpm
+        uses: pnpm/action-setup@v2
+        with:
+          version: latest
+
+      - name: Install Dependencies
+        run: |
+          pnpm config set registry https://registry.npmmirror.com/
+          pnpm install
+        
+      - name: Build
+        run: |
+          pnpm run docs:build
+          ls -la # 检查构建输出目录
+        
+      - name: Deploy
+        uses: JamesIves/github-pages-deploy-action@v4
+        with:
+          folder: src/.vuepress/dist  # 修改为正确的构建输出目录
+          branch: gh-pages
+          token: ${{ secrets.GITHUB_TOKEN }} # 使用 GitHub 提供的 token
+          clean: true
+          force: true
+
+      - name: SSH to Server and Run Script
+        uses: appleboy/[email protected]
+        with:
+          host: ${{ secrets.SERVER_HOST }}
+          username: ${{ secrets.SERVER_USER }}
+          password: ${{ secrets.SERVER_PASSWORD }}
+          script: |
+            cd /home/W1ndys/Easy-QFNU_scripts/update_site_scripts
+            chmod +x update_site.sh
+            ./update_site.sh

.gitignore

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+node_modules
+src/.vuepress/.cache
+src/.vuepress/.temp
+.DS_Store
+.vscode
+src/.vuepress/dist

Easy-QFNU-Scripts/Excel2md/Excel2md.py

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+import pandas as pd
+from pypinyin import pinyin, Style
+from datetime import datetime
+
+
+def pinyin_sort(items):
+    """按照汉语拼音排序"""
+    return sorted(
+        items, key=lambda x: "".join([i[0] for i in pinyin(str(x), style=Style.NORMAL)])
+    )
+
+
+def campus_sort(campuses):
+    """自定义校区排序，确保曲阜在日照前面"""
+    campus_priority = {"曲阜": 1, "日照": 2}
+    return sorted(campuses, key=lambda x: campus_priority.get(x, 999))
+
+
+def normalize_teacher_name(name):
+    """标准化教师名称，处理可能的同音字或错别字"""
+    name_mapping = {
+        "名字1": "名字2",  # 把名字1换成名字2
+        "名字3": "名字4",  # 把名字3换成名字4
+        # 可以添加更多的映射关系
+    }
+    return name_mapping.get(name, name)
+
+
+def generate_markdown(data_file):
+    # 读取Excel文件，不使用第一行作为表头
+    df = pd.read_excel(data_file, header=None)
+
+    # 为列指定名称
+    df.columns = ["课程名称", "任课老师", "校区", "年份", "老师描述", "提交者昵称"]
+
+    # 标准化教师名称
+    df["任课老师"] = df["任课老师"].apply(normalize_teacher_name)
+
+    # 按照拼音对课程名称进行排序
+    df = df.sort_values(
+        by=["课程名称"],
+        key=lambda x: [
+            "".join([i[0] for i in pinyin(str(item), style=Style.NORMAL)]) for item in x
+        ],
+    )
+
+    # 创建更新日志
+    update_log = f"## {datetime.now().strftime('%Y-%m-%d')} 更新日志\n\n"
+
+    # 收集所有提交者
+    all_submitters = df["提交者昵称"].tolist()
+
+    # 生成markdown文本
+    markdown = ""
+
+    # 遍历每一行数据
+    for _, row in df.iterrows():
+        # 添加到更新日志
+        update_log += f"[{row['课程名称']}]-[{row['校区']}]-[{row['任课老师']}]-[{row['提交者昵称']}]-[{row['年份']}年]\n"
+
+        # 生成主要内容
+        markdown += f"## {row['课程名称']}\n\n"
+        markdown += f"### {row['校区']}\n\n"
+        markdown += f"#### {row['任课老师']}\n\n"
+        markdown += f"{row['老师描述']}\n\n"
+        markdown += f"> {row['提交者昵称']}({row['年份']}年)\n\n"
+
+    update_log += "\n---\n"
+
+    return markdown, update_log, all_submitters
+
+
+# 使用示例
+markdown_output, update_log, submitters = generate_markdown("data.xlsx")
+
+# 将主要输出写入文件
+with open("output.md", "w", encoding="utf-8") as f:
+    f.write(markdown_output)
+
+# 将更新日志写入文件
+with open("update_log.md", "w", encoding="utf-8") as f:
+    f.write(update_log)
+
+# 将提交者列表写入文件
+with open("submitters.txt", "w", encoding="utf-8") as f:
+    f.write("，".join(submitters))

Easy-QFNU-Scripts/Excel2md/UpdateData.py

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+import pandas as pd
+import os
+import re
+
+
+def parse_markdown_file(content):
+    """解析markdown文件内容，返回课程、校区、老师的层级结构"""
+    structure = {}
+    current_course = None
+    current_district = None
+    current_teacher = None
+
+    lines = content.split("\n")
+    for line in lines:
+        if line.startswith("## "):
+            current_course = line[3:].strip()
+            structure[current_course] = {}
+            current_district = None
+            current_teacher = None
+        elif line.startswith("### "):
+            current_district = line[4:].strip()
+            if current_course:
+                structure[current_course][current_district] = {}
+            current_teacher = None
+        elif line.startswith("#### "):
+            current_teacher = line[5:].strip()
+            if current_course and current_district:
+                structure[current_course][current_district][current_teacher] = []
+
+    return structure
+
+
+def find_insertion_point(content, course, district, teacher):
+    """找到在文件中插入新内容的位置"""
+    lines = content.split("\n")
+    course_pattern = f"## {course}"
+    district_pattern = f"### {district}"
+    teacher_pattern = f"#### {teacher}"
+
+    # 找到课程、校区、老师的位置
+    course_found = False
+    district_found = False
+    teacher_found = False
+
+    for i, line in enumerate(lines):
+        if line.startswith(course_pattern):
+            course_found = True
+        elif course_found and line.startswith(district_pattern):
+            district_found = True
+        elif district_found and line.startswith(teacher_pattern):
+            teacher_found = True
+            # 找到教师后，继续往下找到最后一条评论
+            for j in range(i + 1, len(lines)):
+                if (
+                    lines[j].startswith("##")
+                    or lines[j].startswith("###")
+                    or lines[j].startswith("####")
+                ):
+                    return j
+                if j == len(lines) - 1:
+                    return j + 1
+
+    return -1
+
+
+def process_data(excel_file, markdown_dir):
+    # 读取Excel文件
+    df = pd.read_excel(excel_file, header=None)
+    df.columns = ["course", "teacher", "district", "year", "description", "submitter"]
+
+    rows_to_delete = []
+    unmatched_rows = set()
+
+    # 新增：用于记录更新日志和提交者
+    update_log = []
+    submitters = set()
+
+    # 遍历markdown文件
+    for filename in os.listdir(markdown_dir):
+        if filename.endswith(".md"):
+            file_path = os.path.join(markdown_dir, filename)
+            with open(file_path, "r", encoding="utf-8") as f:
+                content = f.read()
+
+            # 解析文件结构
+            structure = parse_markdown_file(content)
+            content_modified = False
+
+            # 处理每一行Excel数据
+            for index, row in df.iterrows():
+                if index in rows_to_delete:  # 跳过已经处理过的行
+                    continue
+
+                course = row["course"]
+                district = row["district"]
+                teacher = row["teacher"]
+
+                # 检查是否存在对应的结构
+                if (
+                    course in structure
+                    and district in structure[course]
+                    and teacher in structure[course][district]
+                ):
+
+                    # 找到插入点
+                    insert_point = find_insertion_point(
+                        content, course, district, teacher
+                    )
+                    if insert_point != -1:
+                        # 构建新内容
+                        new_content = f"\n{row['description']}\n\n> {row['submitter']}({row['year']}年)\n"
+
+                        # 插入新内容
+                        content_lines = content.split("\n")
+                        content_lines.insert(insert_point, new_content)
+                        content = "\n".join(content_lines)
+
+                        # 标记要删除的行
+                        rows_to_delete.append(index)
+                        unmatched_rows.discard(index)
+                        content_modified = True
+
+                        # 新增：记录更新日志和提交者
+                        update_log.append(
+                            f"【{course}】-【{district}】-【{teacher}】-【{row['year']}】"
+                        )
+                        submitters.add(row["submitter"])
+
+                        print(
+                            f"✅ 成功添加: 【{course}】-【{district}】-【{teacher}】-【{row['submitter']}】"
+                        )
+                else:
+                    # 只有当这行数据还没有被成功处理时，才标记为未匹配
+                    if index not in rows_to_delete:
+                        unmatched_rows.add(index)
+
+            # 只有在文件被修改时才写回
+            if content_modified:
+                with open(file_path, "w", encoding="utf-8") as f:
+                    f.write(content)
+
+    # 打印未匹配的数据
+    if unmatched_rows:
+        print("\n❌ 以下数据未找到匹配位置：")
+        for index in sorted(unmatched_rows):
+            row = df.iloc[index]
+            print(
+                f"- {row['course']} - {row['district']} - {row['teacher']} - {row['submitter']}"
+            )
+
+    # 删除已处理的行
+    if rows_to_delete:
+        df = df.drop(rows_to_delete)
+        df.to_excel(excel_file, index=False, header=False)
+        print(f"\n📊 统计信息：")
+        print(f"- 成功处理：{len(rows_to_delete)} 条数据")
+        print(f"- 未能匹配：{len(unmatched_rows)} 条数据")
+        print(f"- 总数据量：{len(df) + len(rows_to_delete)} 条数据")
+
+    # 新增：生成更新日志文件
+    if update_log:
+        with open("update_log.txt", "a", encoding="utf-8") as f:
+            f.write("\n".join(update_log) + "\n")
+
+        with open("submitters.txt", "a", encoding="utf-8") as f:
+            f.write(", ".join(sorted(submitters)) + "\n")
+
+        print("\n📝 更新日志已生成")
+        print(f"- 更新条目：{len(update_log)} 条")
+        print(f"- 提交人数：{len(submitters)} 人")
+
+
+# 使用示例
+process_data("data.xlsx", "example")

Easy-QFNU-Scripts/Excel2md/submitters.txt

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+路易十四，叶桑，张洋滋，小猫是全天下最可爱的，匿名，匿名，匿名

Easy-QFNU-Scripts/Excel2md/update_log.md

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+## 2025-01-30 更新日志
+
+[工程伦理学]-[曲阜校区]-[刘新]-[路易十四]-[2024年]
+[形势与政策]-[曲阜校区]-[杨兴防]-[叶桑]-[2024年]
+[美术鉴赏]-[日照校区]-[解艳林]-[张洋滋]-[2024年]
+[体育-排舞]-[曲阜校区]-[刘影]-[小猫是全天下最可爱的]-[2024年]
+[瑜伽]-[日照校区]-[曹萍]-[匿名]-[2024年]
+[形势与政策三]-[曲阜校区]-[肖黎]-[匿名]-[2024年]
+[体育-散打]-[曲阜校区]-[张文娟]-[匿名]-[2024年]
+
+---