82 lines
2.4 KiB
Python
82 lines
2.4 KiB
Python
import json
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import random
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import re
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from pathlib import Path
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import pandas as pd
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import typer
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app = typer.Typer()
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def sanitize_filename(name: str) -> str:
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return re.sub(r'[\\/*?:"<>|]', "_", str(name).strip())
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def random_suffix() -> str:
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return f"_{random.randint(10000000, 99999999)}"
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def read_table(file_path: Path) -> pd.DataFrame:
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suffix = file_path.suffix.lower()
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if suffix in [".xlsx", ".xls"]:
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return pd.read_excel(file_path)
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elif suffix == ".csv":
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return pd.read_csv(file_path)
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elif suffix == ".json":
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with open(file_path, encoding="utf-8") as f:
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data = json.load(f)
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if isinstance(data, list) and len(data) > 1 and isinstance(data[0], dict):
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return pd.DataFrame(data)
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else:
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raise ValueError("JSON 文件格式不符合要求：应为元素个数 > 1 的数组，每个元素是对象。")
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else:
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raise ValueError(f"不支持的文件格式：{suffix}")
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def export_txts(df: pd.DataFrame, output_dir: Path, title_field: str = "标题"):
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output_dir.mkdir(parents=True, exist_ok=True)
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df.columns = [c.strip() for c in df.columns]
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if title_field not in df.columns:
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title_field = df.columns[0] # fallback
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for idx, row in df.iterrows():
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title = str(row.get(title_field, "")).strip()
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if not title:
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title = f"{str(row[df.columns[0]])}{random_suffix()}"
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else:
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title = sanitize_filename(title)
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filename = f"{title}.txt"
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file_path = output_dir / filename
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# 构造内容：字段: 值，每行一个
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content = "\n".join(f"{col}: {row[col]}" for col in df.columns)
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with open(file_path, "w", encoding="utf-8") as f:
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f.write(content)
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typer.echo(f"✅ 成功导出 {len(df)} 个文件到目录：{output_dir}")
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@app.command()
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def convert(
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input_file: Path = typer.Argument(..., help="输入文件（.xlsx/.xls/.csv/.json）"),
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out_dir: Path = typer.Option("output", help="输出目录"),
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title_field: str = typer.Option("标题", help="标题字段名（用于文件名）"),
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):
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"""
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将结构化数据文件（Excel/CSV/JSON）转换为多个 .txt 文件。
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"""
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try:
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df = read_table(input_file)
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export_txts(df, out_dir, title_field)
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except Exception as e:
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typer.echo(f"❌ 错误：{e}", err=True)
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raise typer.Exit(code=1)
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if __name__ == "__main__":
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app()
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