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README.md
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## Design Philosophy ## Design Philosophy
Take full reuse of Python's existing powerful libraries: [`requests`][requests], [`unittest`][unittest] and [`Locust`][Locust]. And achieve the goal of API automation test, production environment monitoring, and API performance test, with a concise and elegant manner. Take full reuse of Python's existing powerful libraries: [`Requests`][requests], [`unittest`][unittest] and [`Locust`][Locust]. And achieve the goal of API automation test, production environment monitoring, and API performance test, with a concise and elegant manner.
## Key Features ## Key Features
- 支持API接口的多种请求方法，包括 GET/POST/HEAD/PUT/DELETE 等 - Inherit all powerful features of [`Requests`][requests], just have fun to handle HTTP in human way.
- 测试用例与代码分离，测试用例维护方式简洁优雅，支持`YAML/JSON` - Define testcases in YAML or JSON format in concise and elegant manner.
- 测试用例描述方式具有表现力，可采用简洁的方式描述输入参数和预期输出结果 - Supports `function`/`variable`/`extract`/`validate` mechanisms to create full test scenarios.
- 接口测试用例具有可复用性，便于创建复杂测试场景 - Testcases can be run in diverse ways, with single testset, multiple testsets, or whole project folder.
- 测试执行方式简单灵活，支持单接口调用测试、批量接口调用测试、定时任务执行测试 - Test report is concise and clear, with detailed log records. See [`PyUnitReport`][PyUnitReport].
- 测试结果统计报告简洁清晰，附带详尽日志记录，包括接口请求耗时、请求响应数据等 - Perfect combination with [Jenkins][Jenkins], running continuous test and production monitoring.
- 身兼多职，同时实现接口管理、接口自动化测试、接口性能测试（结合Locust） - With reuse of [`Locust`][Locust], you can run performance test without extra work.
- 具有可扩展性，便于扩展实现Web平台化 - It is extensible to facilitate the implementation of web platform with [`Flask`][flask] framework.
[*`Background Introduction (CN)`*](docs/background-CN.md) | [*`Feature Descriptions (CN)`*](docs/feature-descriptions-CN.md) [*`Background Introduction (中文版)`*](docs/background-CN.md) | [*`Feature Descriptions (中文版)`*](docs/feature-descriptions-CN.md)
## Installation ## Installation
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Python `2.7`, `3.3`, `3.4`, `3.5`, and `3.6`. Python `2.7`, `3.3`, `3.4`, `3.5`, and `3.6`.
## To Learn more ... ## To learn more ...
- [《接口自动化测试的最佳工程实践（ApiTestEngine）》](http://debugtalk.com/post/ApiTestEngine-api-test-best-practice/) - [《接口自动化测试的最佳工程实践（ApiTestEngine）》](http://debugtalk.com/post/ApiTestEngine-api-test-best-practice/)
- [《ApiTestEngine 演进之路（0）开发未动，测试先行》](http://debugtalk.com/post/ApiTestEngine-0-setup-CI-test/) - [《ApiTestEngine 演进之路（0）开发未动，测试先行》](http://debugtalk.com/post/ApiTestEngine-0-setup-CI-test/)
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[requests]: http://docs.python-requests.org/en/master/ [requests]: http://docs.python-requests.org/en/master/
[unittest]: https://docs.python.org/3/library/unittest.html [unittest]: https://docs.python.org/3/library/unittest.html
[Locust]: http://locust.io/ [Locust]: http://locust.io/
[flask]: http://flask.pocoo.org/
[PyUnitReport]: https://github.com/debugtalk/PyUnitReport
[Jenkins]: https://jenkins.io/index.html

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docs/feature-descriptions-CN.md
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## 核心特性
- 支持API接口的多种请求方法，包括 GET/POST/HEAD/PUT/DELETE 等
- 测试用例与代码分离，测试用例维护方式简洁优雅，支持`YAML/JSON`
- 测试用例描述方式具有表现力，可采用简洁的方式描述输入参数和预期输出结果
- 接口测试用例具有可复用性，便于创建复杂测试场景
- 测试执行方式简单灵活，支持单接口调用测试、批量接口调用测试、定时任务执行测试
- 测试结果统计报告简洁清晰，附带详尽日志记录，包括接口请求耗时、请求响应数据等
- 身兼多职，同时实现接口管理、接口自动化测试、接口性能测试（结合Locust）
- 具有可扩展性，便于扩展实现Web平台化
## 特性拆解介绍 ## 特性拆解介绍
> 支持API接口的多种请求方法，包括 GET/POST/HEAD/PUT/DELETE 等 > 支持API接口的多种请求方法，包括 GET/POST/HEAD/PUT/DELETE 等