Pipeline as Code by Mohamed Labouardy

Author:Mohamed Labouardy [Mohamed Labouardy]
Language: eng
Format: epub
Publisher: Manning Publications
Published: 2021-10-17T00:00:00+00:00

Figure 8.4 Unit test stage execution

Click the Console Output option to view the test results. All three test cases ran, and the status shows as SUCCESS in the logs, as you can see in figure 8.5.

Figure 8.5 Unit test successful execution logs

The shell commands can be replaced with Docker DSL instructions. I advise using them where appropriate instead of running Docker commands via the shell, because they provide high-level encapsulation and ease of use:

stage('Unit Tests'){ def imageTest= docker.build("${imageName}-test", "-f Dockerfile.test .") imageTest.inside{ sh 'python test_main.py' } }

The docker.build() method is similar to running the docker build command. The returned value of the method can be used for a subsequent call to create a Docker container and run the unit tests. Figure 8.6 shows a successful run of the pipeline.

Download

Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.