DonaldFang 方士碩
12ceccc3d3
新增檔案： - js/ui.js - UI 操作、模組切換、預覽更新、表單資料收集 - js/main.js - 主程式初始化、事件監聽器設置、快捷鍵 更新檔案： - index.html - 引用 ES6 模組 (type="module") 功能： ✅ 模組切換功能 ✅ 標籤頁切換 ✅ 表單欄位監聽 ✅ JSON 預覽更新 ✅ 快捷鍵支援 (Ctrl+S, Ctrl+N) ✅ 用戶信息載入 ✅ 登出功能 注意： - 大部分 JavaScript 代碼仍在 HTML 中（約 2400 行） - 已建立核心模組架構，便於後續逐步遷移 - 使用 ES6 Modules，需要通過 HTTP Server 運行 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
124 lines
3.5 KiB
Python
124 lines
3.5 KiB
Python
"""
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從 excel_table copy.md 提取階層式關聯資料
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用於實現下拉選單的連動功能
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"""
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import re
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import json
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from collections import OrderedDict, defaultdict
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# 讀取文件
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with open('excel_table copy.md', 'r', encoding='utf-8') as f:
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content = f.read()
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# 解析表格
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lines = content.strip().split('\n')
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data = []
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for line in lines[2:]: # 跳過標題和分隔線
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if line.strip():
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# 使用正則表達式分割，處理可能的空白單元格
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cols = [col.strip() for col in line.split('|')[1:-1]] # 去掉首尾的空字符串
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if len(cols) == 4:
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data.append({
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'事業體': cols[0],
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'處級單位': cols[1],
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'部級單位': cols[2],
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'崗位名稱': cols[3]
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})
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# 建立階層關聯
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# 事業體 -> 處級單位的對應
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business_to_division = defaultdict(set)
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# 處級單位 -> 部級單位的對應
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division_to_department = defaultdict(set)
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# 部級單位 -> 崗位名稱的對應
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department_to_position = defaultdict(set)
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# 也建立完整的階層路徑
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full_hierarchy = []
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for row in data:
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business = row['事業體']
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division = row['處級單位']
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department = row['部級單位']
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position = row['崗位名稱']
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if business and division:
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business_to_division[business].add(division)
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if division and department:
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division_to_department[division].add(department)
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if department and position:
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department_to_position[department].add(position)
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# 記錄完整路徑
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if business and division and department and position:
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full_hierarchy.append({
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'business': business,
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'division': division,
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'department': department,
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'position': position
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})
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# 轉換為列表並排序
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def convert_to_sorted_list(d):
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return {k: sorted(list(v)) for k, v in d.items()}
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business_to_division_dict = convert_to_sorted_list(business_to_division)
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division_to_department_dict = convert_to_sorted_list(division_to_department)
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department_to_position_dict = convert_to_sorted_list(department_to_position)
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# 統計資訊
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print("=" * 80)
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print("階層關聯統計")
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print("=" * 80)
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print(f"事業體數量: {len(business_to_division_dict)}")
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print(f"處級單位數量: {len(division_to_department_dict)}")
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print(f"部級單位數量: {len(department_to_position_dict)}")
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print(f"完整階層路徑數量: {len(full_hierarchy)}")
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print()
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# 顯示幾個範例
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print("範例關聯:")
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print("-" * 80)
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for business, divisions in list(business_to_division_dict.items())[:3]:
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print(f"事業體: {business}")
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print(f" -> 處級單位: {divisions}")
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print()
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# 生成 JavaScript 物件
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js_code = """// 自動生成的階層關聯資料
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// 事業體 -> 處級單位的對應
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const businessToDivision = """
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js_code += json.dumps(business_to_division_dict, ensure_ascii=False, indent=2)
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js_code += """;
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// 處級單位 -> 部級單位的對應
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const divisionToDepartment = """
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js_code += json.dumps(division_to_department_dict, ensure_ascii=False, indent=2)
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js_code += """;
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// 部級單位 -> 崗位名稱的對應
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const departmentToPosition = """
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js_code += json.dumps(department_to_position_dict, ensure_ascii=False, indent=2)
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js_code += """;
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// 完整階層資料（用於反向查詢）
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const fullHierarchyData = """
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js_code += json.dumps(full_hierarchy, ensure_ascii=False, indent=2)
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js_code += ";\n"
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# 儲存到文件
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with open('hierarchical_data.js', 'w', encoding='utf-8') as f:
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f.write(js_code)
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print("=" * 80)
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print("已儲存到 hierarchical_data.js")
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print("=" * 80)
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