This is a guest post by Liam Newman, Technical Evangelist at CloudBees. |
Declare Your Pipelines!Declarative Pipeline 1.0 is here! This is the fourth post in a series showing some of the cool features ofDeclarative Pipeline.
In theprevious post,
we integrated several notification services into a Declarative Pipeline.
We kept our Pipeline clean and easy to understand
by using a shared library to make a custom step called sendNotifications
that we called at the start and end of our Pipeline.
In this blog post, we’ll start by translating the Scripted Pipeline in the sample project I worked with
in
"Browser-testing with Sauce OnDemand and Pipeline"
and
"xUnit and Pipeline"
to Declarative.
We’ll make our Pipeline clearer by adding an environment
directive
to define some environment variables, and then moving some code to a shared library.
Finally, we’ll look at using the when
directive to add simple conditional behavior to our Pipeline.
Setup
The setup for this post uses the same repository as the two posts above,my fork
of theJS-Nightwatch.js sample project.
I’ve once again created a branch specifically for this blog post,
this time called
blog/declarative/sauce
.
Like the two posts above, this Pipeline will use thexUnit andSauce OnDemand plugins. The xUnit plugin only needs to be installed, the Sauce OnDemand needs additional configuration. FollowSauce Labs' configuration instructions to create an account with Sauce Labs and add your Sauce Labs credentials to Jenkins. The Sauce OnDemand plugin will automatically installSauce Connect for us when we call it from our Pipeline.
Be sure to you have the latest version of theSauce OnDemand plugin (1.160 or newer). It has several fixes required for this post. |
For a shared library, I’ve still got the one from the
previous post.
To set up this "Global Pipeline Library," navigate to "Manage Jenkins" → "Configure System"
in the Jenkins web UI.
Once there, under "Global Pipeline Libraries", add a new library.
Then set the name to bitwiseman-shared
, point it at my repository,
and set the default branch for the library to master
.
Reducing Complexity with Declarative
If you’ve been following along through this series, this first step will be quite familiar by now. We’ll start from the Pipeline we had at the end of the xUnit post and translate it to Declarative.
pipeline {
agent any
options {// Nightwatch.js supports color ouput, so wrap add his option
ansiColor colorMapName: 'XTerm'
}
stages {
stage ("Build") {
steps {// Install dependencies
sh 'npm install'
}
}
stage ("Test") {
steps {// Add sauce credentials
sauce('f0a6b8ad-ce30-4cba-bf9a-95afbc470a8a') {// Start sauce connect
sauceconnect() {// Run selenium tests using Nightwatch.js// Ignore error codes. The junit publisher will cover setting build status.
sh "./node_modules/.bin/nightwatch -e chrome,firefox,ie,edge --test tests/guineaPig.js || true"
}
}
}
post {
always {
step([$class: 'XUnitBuilder',thresholds: [
[$class: 'SkippedThreshold', failureThreshold: '0'],// Allow for a significant number of failures// Keeping this threshold so that overwhelming failures are guaranteed// to still fail the build
[$class: 'FailedThreshold', failureThreshold: '10']],tools: [[$class: 'JUnitType', pattern: 'reports/**']]])
saucePublisher()
}
}
}
}
Blue Ocean doesn’t support displaying SauceLabs test reports yet (see JENKINS-42242). To view the report above, I had to switch back to the stage view of this run. |
Elevating Settings using environment
Each time we’ve moved a project from Scripted Pipeline to Declarative, we’ve found the cleaner format of Declarative Pipeline highlights the less clear parts of the existing Pipeline. In this case, the first thing that jumps out at me is that the parameters of the Saucelabs and Nightwatch execution are hardcoded and buried down in the middle of our Pipeline. This is a relatively short Pipeline, so it isn’t terribly hard to find them, but as this pipeline grows and changes it would be better if those values were kept separate. In Scripted, we’d have defined some variables, but Declarative doesn’t allow us to define variables in the usual Groovy sense.
The environment
directive let’s us set some environment variables
and use them later in our pipeline.
As you’d expect, the environment
directive is just a set of name-value pairs.
Environment variables are accessible in Pipeline via env.variableName
(or just variableName
)
and in shell scripts as standard environment variables, typically $variableName
.
Let’s move the list of browsers, the test filter, and the sauce credential string to environment variables.
environment {
saucelabsCredentialId = 'f0a6b8ad-ce30-4cba-bf9a-95afbc470a8a'
sauceTestFilter = 'tests/guineaPig.js'
platformConfigs = 'chrome,firefox,ie,edge'
}
stages {/* ... unchanged ... */
stage ("Test") {
steps {// Add sauce credentials
sauce(saucelabsCredentialId) {// Start sauce connect
sauceconnect() {// Run selenium tests using Nightwatch.js// Ignore error codes. The junit publisher will cover setting build status.
sh "./node_modules/.bin/nightwatch -e ${env.platformConfigs} --test ${env.sauceTestFilter} || true"(1)
}
}
}
post { /* ... unchanged ... */ }
}
}
}
1 | This double-quoted string causes Groovy to replace the variables with their
literal values before passing to sh .
This could also be written using singe-quotes:sh './node_modules/.bin/nightwatch -e $platformConfigs --test $sauceTestFilter || true' .
With a single quoted string, the string is passed as written to the shell,
and then the shell does the variable substitution. |
Moving Complex Code to Shared Libraries
Now that we have settings separated from the code, we can do some code clean up.
Unlike the previous post, we don’t have any repeating code,
but we do have some distractions.
The nesting of sauce
, sauceconnect
, and sh nightwatch
seems excessive,
and that xUnit step
is a bit ugly as well.
Let’s move those into our shared library as custom steps with parameters.
We’ll change the Jenkinsfile
in our main project,
and add the custom steps to a branch namedblog/declarative/sauce
in our library repository.
@Library('bitwiseman-shared@blog/declarative/sauce') _/* ... unchanged ... */
stage ("Test") {
steps {
sauceNightwatch saucelabsCredentialId,
platformConfigs,
sauceTestFilter
}
post {
always {
xUnitPublishResults 'reports/**',/* failWhenSkippedExceeds */0,/* failWhenFailedExceeds */10
saucePublisher()
}
}
}
defcall(String sauceCredential, String platforms = null, String testFilter = null) {
platforms = platforms ? "-e '" + platforms + "'" : ''
testFilter = testFilter ? "--test '" + testFilter + "'" : ''// Add sauce credentials
sauce(sauceCredential) {// Start sauce connect
sauceconnect() {// Run selenium tests using Nightwatch.js// Ignore error codes. The junit publisher will cover setting build status.
sh "./node_modules/.bin/nightwatch ${platforms}${testFilter} || true"(1)
}
}
}
1 | In this form, this could not be written using a literal single-quoted string.
Here, platforms and testFilter are groovy variables, not environment variables. |
defcall(String pattern, Integer failWhenSkippedExceeds,Integer failWhenFailedExceeds) {
step([$class: 'XUnitBuilder',thresholds: [
[$class: 'SkippedThreshold', failureThreshold: failWhenSkippedExceeds.toString()],// Allow for a significant number of failures// Keeping this threshold so that overwhelming failures are guaranteed// to still fail the build
[$class: 'FailedThreshold', failureThreshold: failWhenFailedExceeds.toString()]],tools: [[$class: 'JUnitType', pattern: pattern]]])
}
Running Conditional Stages using when
This is a sample web testing project. We probably wouldn’t deploy it like we would production code, but we might still want to deploy somewhere, by publishing it to an artifact repository, for example. This project is hosted on GitHub and uses feature branches and pull requests to make changes. I’d like to use the same Pipeline for feature branches, pull requests, and the master branch, but I only want to deploy from master.
In Scripted, we’d wrap a stage
in an if-then
and check if the branch for
the current run is named "master".
Declarative doesn’t support that kind of general conditional behavior.
Instead, it provides a
when
directive
that can be added to stage
sections.
The when
directive supports several types of conditions, including a branch
condition,
where the stage will run when the branch name matches the specified pattern.
That is exactly what we need here.
stages {/* ... unchanged ... */
stage ('Deploy') {
when {
branch 'master'
}
steps {
echo 'Placeholder for deploy steps.'
}
}
}
When we run our Pipeline with this new stage, we get the following outputs:
...
Finished Sauce Labs test publisher
[Pipeline] }
[Pipeline] // stage
[Pipeline] stage
[Pipeline] { (Deploy)
Stage 'Deploy' skipped due to when conditional
[Pipeline] }
[Pipeline] // stage
[Pipeline] }
...
...
Finished Sauce Labs test publisher
[Pipeline] }
[Pipeline] // stage
[Pipeline] stage
[Pipeline] { (Deploy)
[Pipeline] echo
Placeholder for deploy steps.
[Pipeline] }
[Pipeline] // stage
[Pipeline] }
...
Conclusion
I have to say, our latest Declarative Pipeline turned out extremely well. I think someone coming from Freestyle jobs, with little to no experience with Pipeline or Groovy, would still be able to look at this Declarative Pipeline and make sense of what it is doing. We’ve added new functionality to our Pipeline while making it easier to understand and maintain.
I hope you’ve learned as much as I have during this blog series. I’m excited to see that even in the the short time since Declarative 1.0 was released, teams are already using it in make improvements similar to what those we’ve covered in this series. Thanks for reading!