import opencc
def convert_traditional_to_simplified_opencc(text):
    """
    使用OpenCC進行繁體轉(zhuǎn)簡體
    
    Args:
        text (str): 繁體中文文本
        
    Returns:
        str: 簡體中文文本
    """
    converter = opencc.OpenCC('t2s.json')  # t2s表示繁體轉(zhuǎn)簡體
    return converter.convert(text)
# 示例使用
traditional_text = "繁體中文轉(zhuǎn)換為簡體中文"
simplified_text = convert_traditional_to_simplified_opencc(traditional_text)
print(f"繁體：{traditional_text}")
print(f"簡體：{simplified_text}")

import zhconv
def convert_traditional_to_simplified_zhconv(text):
    """
    使用zhconv進行繁體轉(zhuǎn)簡體
    
    Args:
        text (str): 繁體中文文本
        
    Returns:
        str: 簡體中文文本
    """
    return zhconv.convert(text, 'zh-cn')
# 示例使用
traditional_text = "學習繁體轉(zhuǎn)簡體的方法"
simplified_text = convert_traditional_to_simplified_zhconv(traditional_text)
print(f"繁體：{traditional_text}")
print(f"簡體：{simplified_text}")

def create_traditional_simplified_dict():
    """
    創(chuàng)建繁簡體字符映射字典
    這里只展示部分字符，實際應用中需要更完整的字典
    """
    return {
        '繁': '繁', '體': '體', '學': '學', '習': '習',
        '轉(zhuǎn)': '轉(zhuǎn)', '換': '換', '為': '為', '簡': '簡',
        '語': '語', '言': '言', '處': '處', '理': '理',
        '電': '電', '腦': '腦', '網(wǎng)': '網(wǎng)', '頁': '頁',
        '開': '開', '發(fā)': '發(fā)', '應': '應', '用': '用'
    }
def convert_traditional_to_simplified_custom(text):
    """
    使用自定義字典進行繁體轉(zhuǎn)簡體
    
    Args:
        text (str): 繁體中文文本
        
    Returns:
        str: 簡體中文文本
    """
    mapping = create_traditional_simplified_dict()
    result = []
    for char in text:
        result.append(mapping.get(char, char))
    return ''.join(result)
# 示例使用
traditional_text = "網(wǎng)頁開發(fā)應用程式"
simplified_text = convert_traditional_to_simplified_custom(traditional_text)
print(f"繁體：{traditional_text}")
print(f"簡體：{simplified_text}")

import re
from typing import List, Dict
class ChineseTextProcessor:
    """中文文本處理器，支持繁簡轉(zhuǎn)換等功能"""
    
    def __init__(self):
        self.setup_converter()
    
    def setup_converter(self):
        """初始化轉(zhuǎn)換器"""
        try:
            import opencc
            self.converter = opencc.OpenCC('t2s.json')
            self.conversion_method = 'opencc'
        except ImportError:
            try:
                import zhconv
                self.converter = zhconv
                self.conversion_method = 'zhconv'
            except ImportError:
                self.converter = None
                self.conversion_method = None
    
    def traditional_to_simplified(self, text: str) -> str:
        """
        繁體轉(zhuǎn)簡體
        
        Args:
            text: 輸入文本
            
        Returns:
            轉(zhuǎn)換后的簡體文本
        """
        if not self.converter:
            return self._fallback_conversion(text)
        
        if self.conversion_method == 'opencc':
            return self.converter.convert(text)
        elif self.conversion_method == 'zhconv':
            return self.converter.convert(text, 'zh-cn')
        else:
            return text
    
    def _fallback_conversion(self, text: str) -> str:
        """備用轉(zhuǎn)換方法"""
        basic_mapping = {
            '繁': '繁', '體': '體', '學': '學', '習': '習',
            '轉(zhuǎn)': '轉(zhuǎn)', '換': '換', '為': '為', '簡': '簡'
        }
        return ''.join(basic_mapping.get(char, char) for char in text)
    
    def batch_convert(self, texts: List[str]) -> List[str]:
        """批量轉(zhuǎn)換文本"""
        return [self.traditional_to_simplified(text) for text in texts]
    
    def process_file(self, input_file: str, output_file: str):
        """處理文件中的文本"""
        try:
            with open(input_file, 'r', encoding='utf-8') as f:
                content = f.read()
            
            converted_content = self.traditional_to_simplified(content)
            
            with open(output_file, 'w', encoding='utf-8') as f:
                f.write(converted_content)
            
            print(f"文件轉(zhuǎn)換完成：{input_file} -> {output_file}")
        except Exception as e:
            print(f"文件處理錯誤：{e}")
# 使用示例
def demonstrate_usage():
    """演示使用方法"""
    processor = ChineseTextProcessor()
    
    # 示例文本
    sample_texts = [
        "繁體中文轉(zhuǎn)換工具",
        "學習Python程式設計",
        "網(wǎng)頁開發(fā)與數(shù)據(jù)處理",
        "人工智慧與機器學習"
    ]
    
    print("=== 繁簡轉(zhuǎn)換示例 ===")
    for text in sample_texts:
        simplified = processor.traditional_to_simplified(text)
        print(f"繁體：{text}")
        print(f"簡體：{simplified}")
        print("-" * 30)
    
    # 批量轉(zhuǎn)換
    print("\n=== 批量轉(zhuǎn)換結(jié)果 ===")
    batch_results = processor.batch_convert(sample_texts)
    for original, converted in zip(sample_texts, batch_results):
        print(f"{original} -> {converted}")
if __name__ == "__main__":
    demonstrate_usage()

from functools import lru_cache
class CachedConverter:
    def __init__(self):
        self.cache = {}
    
    @lru_cache(maxsize=1000)
    def convert_with_cache(self, text: str) -> str:
        """帶緩存的轉(zhuǎn)換方法"""
        return self.traditional_to_simplified(text)

def batch_process_texts(texts: List[str], batch_size: int = 100) -> List[str]:
    """批量處理文本，提高效率"""
    results = []
    for i in range(0, len(texts), batch_size):
        batch = texts[i:i + batch_size]
        batch_results = [convert_text(text) for text in batch]
        results.extend(batch_results)
    return results

def contextual_conversion(text: str) -> str:
    """考慮上下文的轉(zhuǎn)換"""
    # 示例：處理"發(fā)"和"髮"的不同轉(zhuǎn)換
    context_rules = {
        '發(fā)財': '發(fā)財',
        '頭髮': '頭發(fā)',
        '發(fā)展': '發(fā)展'
    }
    
    result = text
    for traditional, simplified in context_rules.items():
        result = result.replace(traditional, simplified)
    
    return result

def normalize_punctuation(text: str) -> str:
    """標準化標點符號"""
    punctuation_map = {
        '，': ',',  # 全角逗號轉(zhuǎn)半角
        '。': '.',  # 全角句號轉(zhuǎn)半角
        '！': '!',  # 全角感嘆號轉(zhuǎn)半角
        '？': '?',  # 全角問號轉(zhuǎn)半角
        '：': ':',  # 全角冒號轉(zhuǎn)半角
        '；': ';',  # 全角分號轉(zhuǎn)半角
    }
    
    for trad_punct, simp_punct in punctuation_map.items():
        text = text.replace(trad_punct, simp_punct)
    
    return text