84 lines
3.4 KiB
Python
84 lines
3.4 KiB
Python
import pandas as pd
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import os
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import csv
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def is_valid_sheet(df):
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if df.empty:
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return False
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# 过滤“全空行”的工作表
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return not df.dropna(how='all').empty
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def convert_excel_to_txt(folder_path='.'):
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# 计数器，用于最后汇总
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count = 0
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# 固定从脚本所在目录读取，避免受运行时工作目录影响
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script_dir = os.path.dirname(os.path.abspath(__file__))
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scan_dir = script_dir if folder_path in ('.', '') else os.path.abspath(folder_path)
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target_dir = os.path.join(os.path.dirname(__file__), '../Assets/GameMain/DataTables')
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target_dir = os.path.abspath(target_dir)
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# 确保目标目录存在
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os.makedirs(target_dir, exist_ok=True)
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for root, _, files in os.walk(scan_dir):
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for file_name in files:
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# 跳过 Excel 打开时生成的临时锁文件
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if file_name.startswith('~$'):
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continue
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if file_name.endswith(('.xlsx', '.xls')):
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file_path = os.path.join(root, file_name)
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base_name = os.path.splitext(file_name)[0]
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print(f"正在处理: {file_path}...")
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try:
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# 读取 Excel 中所有有效 Sheet
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excel_file = pd.ExcelFile(file_path)
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valid_sheets = []
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for sheet_name in excel_file.sheet_names:
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df = pd.read_excel(excel_file, sheet_name=sheet_name, header=None)
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if is_valid_sheet(df):
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valid_sheets.append((sheet_name, df))
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if not valid_sheets:
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print(f"未找到有效 Sheet，跳过: {file_path}")
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continue
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use_sheet_name_as_file_name = len(valid_sheets) > 1
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for sheet_name, df in valid_sheets:
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output_name = sheet_name if use_sheet_name_as_file_name else base_name
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output_file = os.path.join(target_dir, f"{output_name}.txt")
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# 预处理：将 NaN 替换为空字符串，否则导出会变成 "nan"
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df = df.fillna('')
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# 导出设置：
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# 1. sep='\t' : 使用制表符分隔
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# 2. quoting=csv.QUOTE_NONE : 不使用引号包裹字段，也不会把 " 变成 ""
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# 3. escapechar='\\' : 如果单元格内恰好有 Tab 键，会用反斜杠转义，防止数据列错位
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df.to_csv(
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output_file,
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sep='\t',
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index=False,
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header=False,
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encoding='utf-8',
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quoting=csv.QUOTE_NONE,
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escapechar='\\'
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)
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print(f"成功转换 -> {output_file} (Sheet: {sheet_name})")
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count += 1
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except Exception as e:
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print(f"处理 {file_path} 时出错: {e}")
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print(f"\n任务完成！共转换了 {count} 个文件。")
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if __name__ == "__main__":
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convert_excel_to_txt('.')
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# --- 关键修改：在这里添加暂停 ---
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print("\n" + "="*30)
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input("按回车键(Enter)退出程序...")
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