I'm trying to run Spock tests with my project in IntelliJ 2017.1 community ed. While editing my spec file I get the error msg "Cannot resolve spock" on the import line with a "Configure Groovy SDK" link. When I click on that link I get the "Setup Library" dialog. It has a "Use library" folder search. So I locate my groovy-2.4.10 SDK folder and press Ok. Then I get this error msg:
In case the Project SDK is not automatically set, select the Java version installed previously. The Groovy library will have to be set up and pointed to the version you just downloaded by clicking on Create.
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Another solution to run the script in Fiji is to open the same groovy script in the script editor. If you modify the file in the IDE, save it and then select back the script editor, the file will detect that it has been modified and will ask for refresh. You can then run the script by clicking on the Run button.
This is a quick-start guide for users who could benefit from connecting ScriptRunner to tools such as Git, IntelliJ, and Maven, without mastering them. The goal is to give useful tools to the average scripter without holding back more experienced developers.
We recommend using the Maven binary shipped with the atlassian SDK as this is Atlassian's own implementation of Maven specifically designed for use with developing atlassian plugins. Standard Maven installations might not be able to resolve all the required dependencies without additional configurations.
Inside IntelliJ, you can then configure your Maven configuration to point to the atlassian Maven binaries using the ATLAS Maven Home directory as the Maven home path.
Experienced Atlassian plugin developers recommend 16GB of RAM on your development computer if possible, particularly as you run more and more things to test and debug your application (IntelliJ, the Atlassian application, multiple web browsers, etc.).
This project contains script plugins for the ScriptRunner Suite (Jira, Confluence, and Bitbucket Server). The following tasks lead you through working with the Scriptrunner Samples project to connect the tools.
Any scripts inside these directories can be run from the Script Console (or any other ScriptRunner extension point such as event listeners) without specifying a full path (like you did with the ScratchScript.groovy file above).
When you install the finished plugin in an environment not run with atlas-mvn::debug you have to access the scripts stored inside your custom plugin using the package names defined inside your scripts.
In, IntelliJ, navigate to the class file itself by holding down CTRL (or CMD in OSX) and clicking on the class name. Try this for the UserManager class located at the end of line 4. You will see something like this:
You may have to do this multiple times, once for each dependency (jira-software, jira-servicedesk etc). In each case, just point to the root of the downloaded sources, select everything, and let IDEA configure it.
For example, if you are writing a plugin for Jira, you may require Jira Software, or Jira Service Management. Those two have been added to jira/pom.xml for you, but for others you will need to add them. To make sure they get installed, uncomment out the application(s) you would like. An example of this code is shown below:
The base pom sets all applications to run on port 8080 for consistency, rather than their defaults. That can be changed by adding a entry to the configuration block of your AMPS plugin (jira-maven-plugin, confluence-maven-plugin, bitbucket-maven-plugin). An example of this code is shown below:
The next time you want to create and debug a new script, you will just need to add a new Groovy script to your IDEA project and run the :debug Maven goal to test it. As your script library grows, you may find you need even more out of your local development environment.
The whole environment you just set up is actually a full blown Atlassin plugin development. Take a look at the documentation on Create a Script Plugin for more information on how to use that environment to develop and package your scripts for deployment in test and production instances.
For automated testing in ScriptRunner in the project that you just set up, you can add tests under /src/test/resources. You can then run them with our built-in script located under Administration > Built-In Scripts > Test Runner. See Write and Run Tests documentation for more information.
Jenkins provides the concept of reusable pipeline functionality through shared libraries. With the help of shared libraries, you can implement more complex logic that can be shared across multiple pipelines. Shared libraries are somewhat comparable to libraries in other languages e.g. JARs in the JVM world or Go packages.
The Jenkins user guide explains the mechanics of shared libraries but gives very little guidance on best practices. In this blog post, I am going to explain what I consider to be best practices. Many of the recipes described here are not really specific to Jenkins shared libraries but are applicable to software development in general.
Class implementations represent the alternative to scripts. They support a much more structured approach to breaking down functionality into packages and classes, a coding approach you are likely already familiar with if you are writing application source code. One of the major benefits of class implementation is the cabilility to declare and download external libraries via Groovy Grape.
Personally, I am not a fan of using global variables. The ability to expose variables with a global scope often times leads to confusion when tracking down its definition and the place in the code that assign new values. Morever, a script is not well-suited for implementing more elaborate logic as it can easily become spaghetti code.
For the most part, I start implementing Jenkins shared libraries as classes right away. The approach feels much more natural to JVM programmers, helps with structuring and evolving the code over time and puts you in a good position to actually writing tests for the code. You can read more about testing aspects in the decicated section below.
Shared libraries can even define a templated pipeline definition with the purpose of standardizing typical project types. For example, you might decide that a Java project in your organization should require the change to pass through the stages compilation, unit testing, integration testing and publishing.
There are some intricate differences between the syntax of declarative and scripted pipelines e.g. a stage in a scripted pipeline does not need to specify a nested steps blocks. Syntax differences (especially when imported from shared libraries) can lead to a lot of confusion among consumers and result in unexpected runtime errors. Try to implement shared libraries with the declarative syntax as the preferred choice. The declarative syntax will likely see more support and new features by CloudBees in the future. Most importantly, document this decision for any of your consumers.
Groovy as a language does not enforcing static typing of variables and methods. You can happily just mark everything with def or omit the type altogether. I would highly advise against it as the typing can act as subtle documentation to consumers. Try to provide a type whenever you can. It will give consumers a hint on what kind of value your are expecting.
Building a Jenkins shared library becomes so much easier if you work on it in an IDE. Especially when writing Groovy classes, you will want features like auto-completion, easy navigation between classes and compilation support. IntelliJ does a great job of deriving the project setup from a build definition.
Listing 1 shows a sample Maven build script. Pointing IntelliJ to the build script when opening the project will automatically derive the source directories, set up the proper JDK version and configure the Groovy compiler. Please note that the source directory conventions of a shared library does not follow the standard Maven conventions and therefore has to be reconfigured.
I tried to locate the compatible Jenkins versions used to compile and parse a Jenkins pipeline. The only hint I could find was under Manage Jenkins > About Jenkins. For my version of Jenkins, the Maven GAV is org.codehaus.groovy:groovy-all:2.4.12. In the build script for your shared library, you should rely on that exact version to ensure optimal version compatibility. You will also get a hint about the compatible Groovy version by looking at the parent POM of the dependency com.cloudbees:groovy-cps.
Write unit tests and mock out every portion of the code that calls off to the Jenkins API. This approach is really only possible if you are writing shared libraries as class implementations so that you can put the proper abstractions in place.
For writing unit tests, you have to decide on a test framework. The most prominent options are JUnit and Spock. Additionally, you will want to pull in a mock framework if you decide to go with JUnit. The Maven build shown in listing 2 uses JUnit 5 in combination with Mockito. You can also see that I am configuring the build to look at a non-standard test sources directory.
You will want to put yourself into a good position for mocking calls to the Jenkins API. I recommend introducing an interface that can hide all those calls. You can find an example in listing 3. You will likely only need to add a couple of methods and not the full Jenkins API.
Now that we hid the Jenkins implementation details behind an interface, we can simply create a mock object for it. The test case in listing 6 creates a mock object for JenkinsExecutor with Mockito, injects the instance into the class under test and emulates its behavior as needed.
Jenkins shared libraries do not need to be bundled or published like typical libraries in the JVM ecosystem. In the Jenkins management section, you create a reference to the SCM repository hosting the code. It might sound very tempting at first to point to the master branch for the library, however, the result is a potential unreliable build. Any changes made to the branch will be pulled down automatically by the consuming pipeline. While that might seem convenient for rolling out new features, the same concept also applies to bugs. 152ee80cbc
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