In the steps below, you are going to create a simple Node project and generate a codecov coverage report for it. You need to have the following installed on your machine to be able to run the commands in the next subsections. In this step you are going to create a directory called learn-test-coverage and then navigate to it.
You can give the directory a different name if you wish, provided it is a meaningful name. In this step you are going to initialize the project by running the command below in the terminal:. Successfully running the above command will create a package. In the next step, you are going to install jest as a development dependency. In this step, you are going to install jest as a development dependency. Jest is a simple JavaScript testing framework which usually works out of the box in Node with minimal setup.
You should also be able to see Jest installed as a development dependency in the package. In this step you are going to intialize a git repository in your project by running the command below:. Create a. In this step, you will declare a simple function called sum in the sum.
This function takes two parameters and returns their sum. You will also write tests for your code in the sum. You should be able to see the two files created in your project. Copy and paste the code below in sum. Change the value of the "test" property in your package.
In the terminal run npm test to run your test. After the test completes, you should be able to see the code coverage summary in the terminal and a coverage directory generated. You can also view the summary in the browser by opening the index.
You should be able to see the following:. You are able to generate the coverage report because Jest comes bundled with istanbul.
Make sure you delete the coverage file, as you don't need it since we'll automate the process using GitHub actions. You should be able to identify which metrics istanbul uses to generate coverage report the metrics I mentioned at the beginning of the articl. In this step you will add GitHub actions' continuous integration workflow to your project so that codecov will automatically generate a report on creating a pull request.
Inside the. Then inside workflows create a codecov. The file doesn't need to be named codecov. You can give it any name you like. This is the workflow configuration file. The last step is responsible for uploading the coverage report to codecov in the above configuration file. At the root of your project directory on your machine, run the following commands to initialize your project repository and commit your changes.
You can then add the remote repository you created above to your local repository using the command below:. In the next step, we are going to link our GitHub repository to codecov. This makes sure that our coverage data is automatically uploaded whenever we create a pull request so that a report is generated.
Codecov allows you to sign up with your GitHub account in just a couple of minutes. You can then select the GitHub repository you want to link on the codecov dashboard. After selecting the repository, you will be redirected to a page with a token. You don't need this token for public repositories. For private repositories, you will need to add it to your GitHub secrets and then add the following at the bottom of your workflow configuration file so that it looks like this:.
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Next, we want to set-up our Codefresh pipeline. Note that this will require you to connect to a container registry such as the Docker Hub. You can view the setup steps in this tutorial. Either select your Git repository or you could clone our codecov repository if you have not followed along with the previous steps — no shame in that.
Select the right repository from your Git provider. In our case, we are using GitHub:. This will create a template codefresh. First off, we are going to remove the build and the testing step since those will not be needed for our example. In our case, we are going to run the test commands inside of the node Docker image. Please modify the image and the commands in accordance with the language that you are using.
Running the pipeline up to the second step will create our coverage report within the repository. Next, we are going to add our codecov freestyle step:. You can find a comprehensive list of codecov flags in their official documentation.
Once you have modified your Codefresh pipeline, please save and run. You can then see the output of your pipeline displayed in the Output section.
Once the pipeline has finished, go back to your Codecov account and you should now see the report displayed:. You can access the coverage report by opening the link to the file displayed in the table. This will display further information:.
In this tutorial, we used Codecov and Codefresh to upload our code coverage reports to Codecov. To do so, we. If you have any questions or suggestions for the community, please share those in the comments below.
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