I've been wanting to experiment with CI pipelines for a long time and this weekend I was finally able to spend some time on it. I setup one on Azure DevOps for a Node.js API and it was a lot of fun! So I decided to write down what I learned and share it with you.
In this article I'll tell you about some steps I included in my CI pipeline to get the most out of it.
About Continuous Integration
Continuous integration is the process of safely integrating code changes into a common repository. To achieve this we need to define a CI pipeline which will contain all the tasks that have to be automatically executed every time a new change needs to be integrated. On a basic CI pipeline we'll have 2 main tasks: Build & Test. The more robust a CI pipeline is, the more safe our integration will become.
The basic setup for a Node.js CI Pipeline has basically 3 steps:
There's a really good article by @sinedied that I read to get started with CI. I recommend you check it out if you're new to CI:
If you followed the steps in @sinedied's article, you should've ended up with:
Here’s how I implemented the basic integration steps on my Azure DevOps pipeline:
steps: # Install Node.js - task: NodeTool@0 inputs: versionSpec: $(nodeVersion) displayName: 'Install Node.js'
Install node modules.
testscript that I included in my package.json
Find problems in your code with ESLint
The first thing I wanted to achieve was: clean code. I wanted to make sure that each new commit follows certain coding standards before it can be integrated. That’s where ESLint came to mind.
According to ESLint’s About page:
So here’s how we can use ESLint in our CI pipeline:
In your node.js app run
npm install eslint --save-dev
./node_modules/.bin/eslint --init to generate your ESLint config file. The CLI will ask you a few questions so it can setup ESLint according to your needs.
If you want to customize ESLint even further you can edit the config file
.eslintrc.js. Also, check out the advanced configuration guide.
Once ESLint is setup to our satisfaction we can go on and create an script that’ll analyze all our files and print any found issues.
Here’s how my script looks:
“lint”: “./node_modules/.bin/eslint ./”
To make sure everything works run
npm run lint in your terminal.
Now what I want is to execute my
lint script in my pipeline, so if it fails I can check the pipeline execution results and fix the issues with my code before integrating the changes.
To achieve that in Azure DevOps, we need to add a new task to our YAML:
# This task uses NPM to run the
lintscript that I included in my package.json
I wanted my integration to fail if the ESLint check failed, so I added this task as early in the pipeline as I could (right after installing the dependencies). That way if there’s an issue with the code the whole pipeline fails and the job stops, releasing the User Agent that’s responsible for running the jobs so it can keep running other pipelines that might be queued.
Check the official docs to learn more about Azure Pipelines User Agents.
If you don’t want your whole pipeline to fail if the ESLint fails you should add the following to the task:
So here’s how our YAML looks right now (only the
lintscript that I included in my package.json
testscript that I included in my package.json
Better reports for test results
When we execute the previous pipeline my tests will be executed and the integration will fail if one of the tests fails, and I will be able to read the detail of the executed tests in the logs, which is great! But what if I tell you that you can get detailed test results with charts and filters without having to go through all the logs?
To achieve that we need to ask Jest to generate an XML report that we’ll then give to Azure through a task. Since this XML will have a standard format, Azure will be able to use it to display this nice charts and filters.
This will help us identify and analyze the reason of the failure faster.
To generate the XML report we need to install jest-unit (
npm install jest-unit --save-dev). This package will allow us to generate the XML report in the JUnit standard format.
Then we need a new script that’ll execute all tests and also generate the XML test results.
“test-ci”: “jest —-ci --reporters=jest-unit”
By default, this will generate a new file
junit.xml in the project’s root folder.
Why don’t we just update the original
testscript? You could do that, but then every time you run
npm testlocally it’ll generate the
junit.xmlfile in your pc.
First update the “Run tests” task to use the new script:
# Runs the
testscript that I included in my package.json
And finally add a new step at the bottom of the script:
# Publish test results
Done! Next time you execute the pipeline you’ll see the nicely formatted test results on the “Test” tab.
Code coverage report
The Code coverage report is another thing we can generate along with our test results and publish in our azure pipeline results.
This report will inform us how much of our code is exercised by running the tests.
The procedure to include this report is similar to the previous one.
To make sure the code coverage report is generated we need to update our test script again.
“test-ci”: “jest —-ci --reporters=jest-unit --coverage --coverageReporters=cobertura”
Add a new step at the bottom of the script:
# Publish code coverage report
That’s it. Execute the integration pipeline again to try it. You should now see a new Tab called “Code coverage”.
Did I miss anything?
Do you know any other interesting CI tasks to add to this list? Please share them with me in the comments! Thanks For Visiting!
This post was originally published here
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Throughout the most recent couple of years, Node.js moved to backend development as well. Designers need to utilize a similar tech stack for the whole web project without learning another language for server-side development. Node.js is a device that adjusts JS usefulness and syntax to the backend.
Of late, organizations have been effectively changing from their backend tech stacks to Node.js. LinkedIn picked Node.js over Ruby on Rails since it took care of expanding responsibility better and decreased the quantity of servers by multiple times. PayPal and Netflix did something comparative, just they had a goal to change their design to microservices. We should investigate the motivations to pick Node.JS for web application development and when we are planning to hire node js developers.
Alongside prevalence, Node.js additionally acquired the fundamental JS benefits:
In addition, it’s a piece of a well known MEAN tech stack (the blend of MongoDB, Express.js, Angular, and Node.js — four tools that handle all vital parts of web application development).
In the event that you have JS designers in your group, it will be simpler for them to learn JS-based Node than a totally new dialect. What’s more, the front-end and back-end codebase will be basically the same, simple to peruse, and keep up — in light of the fact that they are both JS-based.
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Microservices need to speak with one another rapidly — and Node.js is probably the quickest device in information handling. Among the fundamental Node.js benefits for programming development are its non-obstructing algorithms.
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Numerous designers consider nonconcurrent to be one of the two impediments and benefits of Node.js web application development. In Node, at whatever point the capacity is executed, the code consequently sends a callback. As the quantity of capacities develops, so does the number of callbacks — and you end up in a circumstance known as the callback damnation.
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Node.js is a prominent tech trend in the space of web and mobile application development. It has been proven very efficient and useful for a variety of application development. Thus, all business owners are eager to leverage this technology for creating their applications.
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