Project Icon

jenkins-rest

Java客户端,简化Jenkins REST API操作的开源工具

jenkins-rest是一个基于jclouds的Java客户端,用于简化Jenkins REST API的操作。这个开源项目提供了灵活的配置选项、多种认证方式和自动化的Jenkins crumb处理。通过完善的文档、示例和测试,jenkins-rest使开发者能够轻松地将Jenkins功能集成到自己的应用中。

Maven Central Stack Overflow

jenkins-rest

Java client is built on the top of jclouds for working with Jenkins REST API.

Setup

Client's can be built like so:

JenkinsClient client = JenkinsClient.builder()
.endPoint("http://127.0.0.1:8080") // Optional. Defaults to http://127.0.0.1:8080
.credentials("admin:password") // Optional.
.build();

SystemInfo systemInfo = client.api().systemApi().systemInfo();
assertTrue(systemInfo.jenkinsVersion().equals("1.642.4"));

Latest release

Can be found in maven like so:

<dependency>
  <groupId>io.github.cdancy</groupId>
  <artifactId>jenkins-rest</artifactId>
  <version>X.Y.Z</version>
  <classifier>sources|tests|javadoc|all</classifier> (Optional)
</dependency>

Documentation

Property based setup

Client instances do NOT need to supply the endPoint or credentials as a part of instantiating the JenkinsClient object. Instead one can supply them through system properties, environment variables, or a combination of the two. System properties will be searched first and if not found, will attempt to query the environment.

Setting the endpoint can be done with any of the following (searched in order):

  • jenkins.rest.endpoint
  • jenkinsRestEndpoint
  • JENKINS_REST_ENDPOINT

When none is found, the endpoint is set to http://localhost:8080.

Setting the credentials can be done with any of the following (searched in order):

  • jenkins.rest.api.token
  • jenkinsRestApiToken
  • JENKINS_REST_API_TOKEN
  • jenkins.rest.credentials
  • jenkinsRestCredentials
  • JENKINS_REST_CREDENTIALS

When none is found, no authentication is used (anonymous).

Credentials

jenkins-rest credentials can take 1 of 3 forms:

  • Colon delimited username and api token: admin:apiToken
    • use JenkinsClient.builder().apiToken("admin:apiToken")
  • Colon delimited username and password: admin:password
    • use JenkinsClient.builder().credentials("admin:password")
  • Base64 encoded username followed by password YWRtaW46cGFzc3dvcmQ= or api token YWRtaW46YXBpVG9rZW4=
    • use JenkinsClient.builder().credentials("YWRtaW46cGFzc3dvcmQ=")
    • use JenkinsClient.builder().apiToken("YWRtaW46YXBpVG9rZW4=")

The Jenkins crumb is automatically requested when POSTing using the anonymous and the username:password authentication methods. It is not requested when you use the apiToken as it is not needed in this case. For more details, see

Examples

The mock and live tests provide many examples that you can use in your own code.

Components

  • jclouds - used as the backend for communicating with Jenkins REST API
  • AutoValue - used to create immutable value types both to and from the jenkins program

Testing

Running mock tests can be done like so:

./gradlew clean build mockTest

Running integration tests require an existing jenkins instance which can be obtained with docker:

    docker build -t jenkins-rest/jenkins src/main/docker
    docker run -d --rm -p 8080:8080 --name jenkins-rest jenkins-rest/jenkins
./gradlew clean build integTest 

Integration tests settings

If you use the provided docker instance, there is no other preparation necessary. If you wish to run integration tests against your own Jenkins server, the requirements are outlined in the next section.

Jenkins instance requirements

This project provides instructions to setup a pre-configured Docker container

Integration tests configuration

  • jenkins url and authentication method used by the tests are defined in the gradle.properties file
  • by default, tests use the credentials (username:password) authentication method but this can be changed to use the API Token. See the gradle.properties file.

Running integration tests from within your IDE

  • the integTest gradle task sets various System Properties
  • if you don't want to use gradle as tests runner in your IDE, configure the tests with the same kind of System Properties

Additional Resources

项目侧边栏1项目侧边栏2
推荐项目
Project Cover

豆包MarsCode

豆包 MarsCode 是一款革命性的编程助手,通过AI技术提供代码补全、单测生成、代码解释和智能问答等功能,支持100+编程语言,与主流编辑器无缝集成,显著提升开发效率和代码质量。

Project Cover

AI写歌

Suno AI是一个革命性的AI音乐创作平台,能在短短30秒内帮助用户创作出一首完整的歌曲。无论是寻找创作灵感还是需要快速制作音乐,Suno AI都是音乐爱好者和专业人士的理想选择。

Project Cover

有言AI

有言平台提供一站式AIGC视频创作解决方案,通过智能技术简化视频制作流程。无论是企业宣传还是个人分享,有言都能帮助用户快速、轻松地制作出专业级别的视频内容。

Project Cover

Kimi

Kimi AI助手提供多语言对话支持,能够阅读和理解用户上传的文件内容,解析网页信息,并结合搜索结果为用户提供详尽的答案。无论是日常咨询还是专业问题,Kimi都能以友好、专业的方式提供帮助。

Project Cover

阿里绘蛙

绘蛙是阿里巴巴集团推出的革命性AI电商营销平台。利用尖端人工智能技术,为商家提供一键生成商品图和营销文案的服务,显著提升内容创作效率和营销效果。适用于淘宝、天猫等电商平台,让商品第一时间被种草。

Project Cover

吐司

探索Tensor.Art平台的独特AI模型,免费访问各种图像生成与AI训练工具,从Stable Diffusion等基础模型开始,轻松实现创新图像生成。体验前沿的AI技术,推动个人和企业的创新发展。

Project Cover

SubCat字幕猫

SubCat字幕猫APP是一款创新的视频播放器,它将改变您观看视频的方式!SubCat结合了先进的人工智能技术,为您提供即时视频字幕翻译,无论是本地视频还是网络流媒体,让您轻松享受各种语言的内容。

Project Cover

美间AI

美间AI创意设计平台,利用前沿AI技术,为设计师和营销人员提供一站式设计解决方案。从智能海报到3D效果图,再到文案生成,美间让创意设计更简单、更高效。

Project Cover

AIWritePaper论文写作

AIWritePaper论文写作是一站式AI论文写作辅助工具,简化了选题、文献检索至论文撰写的整个过程。通过简单设定,平台可快速生成高质量论文大纲和全文,配合图表、参考文献等一应俱全,同时提供开题报告和答辩PPT等增值服务,保障数据安全,有效提升写作效率和论文质量。

投诉举报邮箱: service@vectorlightyear.com
@2024 懂AI·鲁ICP备2024100362号-6·鲁公网安备37021002001498号