Awaken 关键字驱动自动化框架
介绍
Awaken 是以 "关键字驱动" 为中心思想搭建的自动化测试框架。
其核心实现是通过相比编程语言更加语义化的 "关键字" 来组织自动化用例的逻辑实现;
相较于传统的通过编程语言直接编写的自动化脚本而言, "关键字驱动" 极大降低了技术栈的门槛, 使得非技术人员也能参与其中;
但这种 "便捷" 的代价便是牺牲了原生编码的部分灵活性, 并且将功能实现的职责嫁接给框架开发者。
安装教程
Python PIP
pip install awaken2
使用说明
- xxxx
- xxxx
- xxxx
参与贡献
- Fork 本仓库
- 新建 Feat_xxx 分支
- 提交代码
- 新建 Pull Request
特技
- 使用 Readme_XXX.md 来支持不同的语言，例如 Readme_en.md, Readme_zh.md
- Gitee 官方博客 blog.gitee.com
- 你可以 https://gitee.com/explore 这个地址来了解 Gitee 上的优秀开源项目
- GVP 全称是 Gitee 最有价值开源项目，是综合评定出的优秀开源项目
- Gitee 官方提供的使用手册 https://gitee.com/help
- Gitee 封面人物是一档用来展示 Gitee 会员风采的栏目 https://gitee.com/gitee-stars/
1 maintainer
Release files for awaken2 0.2.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| awaken2-0.2.4.tar.gz | 69.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| awaken2-0.2.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 215.4 kB
Release files / awaken2-0.2.4.tar.gz
| Download URL | awaken2-0.2.4.tar.gz |
|---|---|
| Size | 69.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0
|
Release files / awaken2-0.2.4-py3-none-any.whl
| Download URL | awaken2-0.2.4-py3-none-any.whl |
|---|---|
| Size | 146.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
83a529211eea1758c7ac134176368cf4cfaf296faf41bab1670848800e25f489
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0
|
