Python 归档打包进度条

python 复制代码
#!/bin/python3

import os
import subprocess

from rich.progress import BarColumn, Progress, TimeRemainingColumn


def count_files_in_directory(directory):
    # Recursively count all files in the directory
    total_files = 0
    for root, dirs, files in os.walk(directory):
        total_files += len(files)
    return total_files


def tar_with_progress(source_dir, output_tar):
    total_files = count_files_in_directory(source_dir)

    if total_files == 0:
        print(f"No files found in directory: {source_dir}")
        return

    # Command to run tar and capture output
    tar_command = ["tar", "cf", output_tar, "-C", source_dir, "."]

    with Progress(
        "[progress.description]{task.description}",
        BarColumn(),
        "[progress.percentage]{task.percentage:>3.0f}%",
        TimeRemainingColumn(),
    ) as progress:
        task_id = progress.add_task(f"Archiving {source_dir}...", total=total_files)

        # Start the tar process
        process = subprocess.Popen(
            tar_command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True
        )

        files_processed = 0
        for root, dirs, files in os.walk(source_dir):
            for file in files:
                # Simulate processing of each file (tar doesn't provide per-file feedback)
                files_processed += 1
                progress.update(task_id, completed=files_processed)

        process.wait()

        # Check if the tar command completed successfully
        if process.returncode == 0:
            print(f"Archive created successfully: {output_tar}")
        else:
            print(f"Error creating archive: {output_tar}")


import sys

if __name__ == "__main__":
    source_directory = sys.argv[1]  # Replace with your source directory
    output_tarfile = sys.argv[2]  # Replace with your desired output tar file name
    tar_with_progress(source_directory, output_tarfile)

好像是AI写的

相关推荐
临床数据科学和人工智能兴趣组38 分钟前
在R语言中, 使用 as.factor() 函数转换数值型变量
开发语言·r语言
杨杨杨大侠4 小时前
Jev、Kev、Laya:决策模型怎么选,什么时候需要微调?
人工智能·python·agent
andyweike4 小时前
php笔记
开发语言·笔记·php
LOVE️YOU4 小时前
Python 在定义函数时,究竟定义的是什么?
python
段一凡-华北理工大学4 小时前
大模型应用开发 100 天:Python + LLM 从入门到精通 day26~Prompt 调试与优化——A/B 测试与效果评估
windows·python·大模型·prompt·智能体·提示词工程·高炉智能化
Minecraft红客5 小时前
以撒的结合
python·游戏·电脑·娱乐
Circ.5 小时前
Python 调试 Litellm 本地大模型接口:模型列表与对话接口实操踩坑记录
开发语言·python
风早爽太5 小时前
用 ‌Render‌ 快速部署网站和常见问题解决
python·fastapi
现任明教教主~6 小时前
Thinkphp站群蜘蛛池SaaS系统YanyvSEO含多用户/积分/六大引擎计费/易支付对接
java·开发语言·spring
李航19836 小时前
给自己的图形引擎,配上了AI渲染,做设计真是太方便了
人工智能·python·计算机视觉·ai·ai编程