一个大的猫窝,voidcat

import os
import re
#使用前(?<!ASLocalizedString\()(?:@")([\u4E00-\u9FFF]+)(?:") 替换ASLocalizedString(@"$1")
def extract_localized_strings(folder_path):
    # 所有的文件的路径
    file_paths = []
    # 所有的文字
    localized_strings = []
    for root, dirs, files in os.walk(folder_path):
        for file in files:
            if file.endswith('.m') or file.endswith('.swift'):
                file_paths.append(os.path.join(root, file))

    # 遍历所有文件
    print(file_paths)
    for file_path in file_paths:
        with open(file_path, 'r') as f:
            content = f.read()
            matches = re.findall(r'ASLocalizedString\(@"([^"]*)"\)', content)
            localized_strings.extend(matches)

    print(len(localized_strings))
    localized_strings = list(set(localized_strings))
    print(len(localized_strings))
    # print(localized_strings)
    # 写入文件
    with open('localized_strings.txt', 'w') as f:
        for s in localized_strings:
            f.write('"{}"="{}";\n'.format(s,s))

folder_path = input("Enter the path of the folder containing the files: ")
extract_localized_strings(folder_path)

import pandas as pd
import re

# 读取文本文件
with open('localized_strings.txt', 'r') as f:
    data = f.read().splitlines()

# 创建正则表达式，匹配 "键"="值"; 格式的行
pattern = re.compile(r'^\"(.+)\"\=\"(.+)\"\;$')

# 提取每行的键和值，存储到列表中
data_list = []
for line in data:
    match = pattern.match(line.strip())
    if match:
        key = match.group(1)
        value = match.group(2)
        data_list.append([key, value])

# 创建一个DataFrame对象
df = pd.DataFrame(data_list, columns=['key', 'value'])

# 将数据写入Excel文件
df.to_excel('output.xlsx', index=False)

import pandas as pd

# 读取Excel文件
df = pd.read_excel('output.xlsx')

# 将数据写入文本文件
with open('output.txt', 'w') as f:
    for index, row in df.iterrows():
        value = str(row["value"]).replace('"', r'\"')  # 将整数转换为字符串，并将引号替换为转义引号
        line = f'"{row["key"]}"="{value}";\n'
        f.write(line)