---
id: "c9be80ac-ea1c-4824-bccb-8e06bac220bf"
name: os-asyncio-path-180e52836ea4
description: "General SOP for common requests related to os, asyncio, path."
version: "0.1.0"
tags:
  - "os"
  - "asyncio"
  - "path"
triggers:
  - "Use when the user asks for a process or checklist."
  - "Use when you want to reuse a previously mentioned method/SOP."
examples:
  - input: "Break this into best-practice, executable steps."
---

# os / asyncio / path

General SOP for common requests related to os, asyncio, path.

## Prompt

Follow this SOP (replace specifics with placeholders like <PROJECT>/<ENV>/<VERSION>):
1) async def extract_zip(compress_file_path: str, extract_path: str
2) async with zipfile.ZipFile(compress_file_path, "r") as zip_ref
3) await zip_ref.extractall(extract_path)  并通过 asyncio 的 create_task 在循环中创建多个任务并加入到列表中，最后通过gather方法调用列表中的任务是否可行，和你的方法比起来哪个更好
4) asyncio.run() 作用
5) async def tar_extract(tmp_tar_dir
6) def _extract_tar(tar_file_path, logs_folder
7) with tarfile.open(tar_file_path, "r:gz") as tar_ref
8) tar_ref.extractall(logs_folder, filter="data
9) loop = asyncio.get_running_loop
10) for dirpath, _, filenames in os.walk(tmp_tar_dir

For each step, include: action, checks, and failure rollback/fallback plan.
Output format: for each step number, provide status/result and what to do next.

## Triggers

- Use when the user asks for a process or checklist.
- Use when you want to reuse a previously mentioned method/SOP.

## Examples

### Example 1

Input:

  Break this into best-practice, executable steps.


---
Source attribution: ECNU-ICALK
Original project: https://github.com/ECNU-ICALK/AutoSkill
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Gabriel Moreira

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: ECNU-ICALK
Original project: https://github.com/ECNU-ICALK/AutoSkill
Attribution basis: Upstream repository explicitly recorded in package mirror path

Fields of work: Development & Engineering
Roles: Backend Developer, Data Engineer, DevOps / SRE
Specialties: Backend, Cross Platform
Tools: Asyncio
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: a7b633f9c1baaf7e6673b8d9fa4953f4ba9acbc98326503e0a69eb3beeaba75e