update: 2026-03-28 20:59

InfoGenie-frontend/public/toolbox/学习工具/计算机英语词汇学习/convert_vocabulary.py

@@ -0,0 +1,105 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+计算机英语词汇数据转换脚本
+将txt格式的词汇文件转换为JavaScript数组格式
+"""
+
+import re
+import json
+
+def parse_vocabulary_file(file_path):
+    """解析词汇文件"""
+    vocabulary_list = []
+    
+    with open(file_path, 'r', encoding='utf-8') as file:
+        lines = file.readlines()
+    
+    for line in lines:
+        line = line.strip()
+        if not line or line.startswith('51 - 100') or line.startswith('101 - 150') or line.startswith('151 - 200'):
+            continue
+            
+        # 使用正则表达式匹配词汇条目
+        # 格式: 数字. 单词 [音标] 词性 中文释义
+        pattern = r'^(\d+)\. ([a-zA-Z\-\']+) \[([^\]]*(?:\][^\]]*)*) ([a-zA-Z\.&]+) (.+)$'
+        match = re.match(pattern, line)
+        
+        if match:
+            word_id, word, phonetic, word_type, meaning = match.groups()
+            
+            # 修复音标格式问题
+            if not phonetic.endswith(']'):
+                # 查找下一个有效的词性和释义
+                parts = line.split()
+                for i, part in enumerate(parts):
+                    if part in ['n.', 'v.', 'vt.', 'vi.', 'a.', 'ad.', 'prep.', 'conj.', 'pron.']:
+                        word_type = part
+                        meaning = ' '.join(parts[i+1:])
+                        # 从原始行中提取音标
+                        phonetic_start = line.find('[') + 1
+                        phonetic_end = line.find(word_type) - 1
+                        phonetic = line[phonetic_start:phonetic_end].strip()
+                        break
+            
+            vocabulary_item = {
+                'id': int(word_id),
+                'word': word.strip(),
+                'phonetic': f'[{phonetic}]',
+                'type': word_type.strip(),
+                'meaning': meaning.strip()
+            }
+            
+            vocabulary_list.append(vocabulary_item)
+    
+    return vocabulary_list
+
+def generate_js_file(vocabulary_list, output_path):
+    """生成JavaScript文件"""
+    js_content = '''// 计算机英语词汇数据
+const vocabularyData = [
+'''
+    
+    for i, item in enumerate(vocabulary_list):
+        js_content += f'    {{ id: {item["id"]}, word: "{item["word"]}", phonetic: "{item["phonetic"]}", type: "{item["type"]}", meaning: "{item["meaning"]}" }}'
+        
+        if i < len(vocabulary_list) - 1:
+            js_content += ',\n'
+        else:
+            js_content += '\n'
+    
+    js_content += '''];
+
+// 导出数据供其他文件使用
+if (typeof module !== 'undefined' && module.exports) {
+    module.exports = vocabularyData;
+}
+'''
+    
+    with open(output_path, 'w', encoding='utf-8') as file:
+        file.write(js_content)
+    
+    print(f'成功生成JavaScript文件: {output_path}')
+    print(f'共转换 {len(vocabulary_list)} 个词汇')
+
+def main():
+    """主函数"""
+    input_file = '计算机英语词汇.txt'
+    output_file = 'vocabulary-data.js'
+    
+    try:
+        print('开始解析词汇文件...')
+        vocabulary_list = parse_vocabulary_file(input_file)
+        
+        print('开始生成JavaScript文件...')
+        generate_js_file(vocabulary_list, output_file)
+        
+        print('转换完成！')
+        
+    except FileNotFoundError:
+        print(f'错误: 找不到文件 {input_file}')
+    except Exception as e:
+        print(f'转换过程中发生错误: {e}')
+
+if __name__ == '__main__':
+    main()