Project coverage in console and merge request GitLab looks up in the console and use coverage keyword regex to match the coverage output. When running the tests with text-summary reporter, the project metrics coverage appears in the console.
#JEST TEAMCITY REPORTER CODE#
In merge requests you have red and green borders besides the new code to indicate coverage status. It works the same as for JUnit report before, the coverage report for merge requests is placed in an artifact. Copy variables : OUTPUT_PATH : "$CI_PROJECT_DIR/artifacts" test_app : coverage : '/Statements\s+:\s\d+.\d+%/' artifacts : name : "tests-and-coverage" reports : cobertura : - $OUTPUT_PATH/coverage/cobertura -coverage.xml Let's create a custom Karma launcher to have Chrome in headless mode but with sandbox mode disabled. Try to run your unit tests with Headless Chrome: ng test -browsers=ChromeHeadless
#JEST TEAMCITY REPORTER HOW TO#
You'll learn in the next article how to optimize this installation which takes up to 30 seconds. This is the before_script job but note it's called each time the job runs. It means the docker container needs to have Chromium installed. Karma runs Angular unit tests runs on Chrome browser. You don't want the runner to be stuck forever waiting for file changes. Note the disabled watch (enabled by default). yarn ng test -watch=false Incomplete test job export CHROME_BIN=/usr/bin/chromium -browser Copy variables : OUTPUT_PATH : "$CI_PROJECT_DIR/artifacts" test_app : stage : build_and_test Don't forget to replace yarn.lock with package-lock.json in the aforementioned samples.
If you prefer to use npm for this job, the documentation provides a short example using npm ci command. It's the case if you follow this article to the end (you'll add dependencies for tests report later).
#JEST TEAMCITY REPORTER INSTALL#
In this situation, if the install is too slow you can take advantage of the fallback cache key. The cache key is also based on this file, it means when the job runs there is no matching cache to pull, so it begins with from clean node_modules. It must be combined with only:refs to make it work properly in merge requests. Using the only:changes keyword on this job makes sure it doesn't run if the yarn.lock has no changes. Those two kinds of runners must access the cache and your company registry if applicable. If you have a company license, your project may have both corporate runners and GitLab shared runners. Make sure all runners can access the cache location.
It'll be available for any other pipeline and job.
Other jobs will pull node_modules from the cache. Policy : pull Default configuration for pipeline jobs The executor can run the command inside a docker container, built from node:12-alpine image. To make sure nodejs is available, we need the docker executor. Let's practice with a dummy job running the node -version command. Runners delegate the work to executors which comes in different flavors such as Docker, shell and ssh. Yet, it's not runner responsibility to run the script on its own. Pipeline with jobs in parallelĪs explained before, jobs run on runners. Yet, it's possible to run several jobs in parallel by arranging them in stages. In GitLab world, we don't talk about tasks running on machines but Jobs executed by Runners.īy default, jobs run one after the other. As many projects would need to run tasks, many machines are available to run the tasks. The idea is to run tasks in the CI environment. Sometimes it only works on your machine because of some special setup you have.
Having a CI tool helps to build and test your code in a neutral environment to ensure it works on any computer and server.
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