Using Playwright to Test Next.js Applications

The testing setup of my dreams is finally a reality

In its  latest release,  Playwright has gained a new feature called Playwright Test. This newly added test runner for Playwright enables the smoothest testing experience in Next.js applications I have ever seen. Once set up, it allows testing with real browsers across multiple device sizes. We’ll be able to mock requests made by the frontend. And, we’ll be able to mock the backend’s requests as well. All from the test spec itself.

And to top it all off, we’ll even be able to do Visual Regression Testing which the Playwright team calls Visual Comparisons. This allows you to basically take a screenshot of your application and fail your test in case the next screenshot does not match the current one.

This is incredibly exciting as you’ll be able to make your tests reflect the way a real user would use your application.

In this article, I’ll walk you through the setup of Playwright for Next.js applications. We’ll also use msw to mock requests made by the Next.js server.

Note that this setup is brand new and pretty experimental. Consider this as me sharing something cool I’ve sort of stumbled into. There might be some unresolved hurdles down the road that can’t yet be foreseen and might lead to a change in the taken approach.

Let’s first take a look at the  official release notes to learn about Playwright Test: Playwright Test_ is a new test runner built from scratch by Playwright team specifically to accommodate end-to-end testing needs:_

• Run tests across all browsers.
• Execute tests in parallel.
• Enjoy context isolation and sensible defaults out of the box.
• Capture traces, videos, screenshots and other artefacts on failure.
• Infinitely extensible with fixtures.

This sounded incredibly exciting and is what lead me to try to use Playwright to test my Next.js applications. As a side note, I am building a service called happykit.dev which allows you to use  Feature Flags in your Next.js applications. I plan to use this Playwright setup for HappyKit. But let’s get back to the setup now :)

Note that Playwright itself can be used in many different ways. The following is just my approach at integrating it with Next.js. I am not saying that this is the ultimate solution for everyone, but it works really well for me. I hope it will at least inspire.

#testing #javascript #nextjs #typescript

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Buddha Community

Google analytics Setup with Next JS, React JS using Router Events - 14

In this video, we are going to implement Google Analytics to our Next JS application. Tracking page views of an application is very important.

Google analytics will allow us to track analytics information.

Frontend: https://github.com/amitavroy/video-reviews
API: https://github.com/amitavdevzone/video-review-api
App link: https://video-reviews.vercel.app

You can find me on:
Twitter: https://twitter.com/amitavroy7​
Discord: https://discord.gg/Em4nuvQk

#next js #js #react js #react #next #google analytics

Testing Microservices Applications

The shift towards microservices and modular applications makes testing more important and more challenging at the same time. You have to make sure that the microservices running in containers perform well and as intended, but you can no longer rely on conventional testing strategies to get the job done.

This is where new testing approaches are needed. Testing your microservices applications require the right approach, a suitable set of tools, and immense attention to details. This article will guide you through the process of testing your microservices and talk about the challenges you will have to overcome along the way. Let’s get started, shall we?

A Brave New World

Traditionally, testing a monolith application meant configuring a test environment and setting up all of the application components in a way that matched the production environment. It took time to set up the testing environment, and there were a lot of complexities around the process.

Testing also requires the application to run in full. It is not possible to test monolith apps on a per-component basis, mainly because there is usually a base code that ties everything together, and the app is designed to run as a complete app to work properly.

Microservices running in containers offer one particular advantage: universal compatibility. You don’t have to match the testing environment with the deployment architecture exactly, and you can get away with testing individual components rather than the full app in some situations.

Of course, you will have to embrace the new cloud-native approach across the pipeline. Rather than creating critical dependencies between microservices, you need to treat each one as a semi-independent module.

The only monolith or centralized portion of the application is the database, but this too is an easy challenge to overcome. As long as you have a persistent database running on your test environment, you can perform tests at any time.

Keep in mind that there are additional things to focus on when testing microservices.

• Microservices rely on network communications to talk to each other, so network reliability and requirements must be part of the testing.
• Automation and infrastructure elements are now added as codes, and you have to make sure that they also run properly when microservices are pushed through the pipeline
• While containerization is universal, you still have to pay attention to specific dependencies and create a testing strategy that allows for those dependencies to be included

Test containers are the method of choice for many developers. Unlike monolith apps, which lets you use stubs and mocks for testing, microservices need to be tested in test containers. Many CI/CD pipelines actually integrate production microservices as part of the testing process.

Contract Testing as an Approach

As mentioned before, there are many ways to test microservices effectively, but the one approach that developers now use reliably is contract testing. Loosely coupled microservices can be tested in an effective and efficient way using contract testing, mainly because this testing approach focuses on contracts; in other words, it focuses on how components or microservices communicate with each other.

Syntax and semantics construct how components communicate with each other. By defining syntax and semantics in a standardized way and testing microservices based on their ability to generate the right message formats and meet behavioral expectations, you can rest assured knowing that the microservices will behave as intended when deployed.

Ways to Test Microservices

It is easy to fall into the trap of making testing microservices complicated, but there are ways to avoid this problem. Testing microservices doesn’t have to be complicated at all when you have the right strategy in place.

There are several ways to test microservices too, including:

• Unit testing: Which allows developers to test microservices in a granular way. It doesn’t limit testing to individual microservices, but rather allows developers to take a more granular approach such as testing individual features or runtimes.
• Integration testing: Which handles the testing of microservices in an interactive way. Microservices still need to work with each other when they are deployed, and integration testing is a key process in making sure that they do.
• End-to-end testing: Which⁠—as the name suggests⁠—tests microservices as a complete app. This type of testing enables the testing of features, UI, communications, and other components that construct the app.

What’s important to note is the fact that these testing approaches allow for asynchronous testing. After all, asynchronous development is what makes developing microservices very appealing in the first place. By allowing for asynchronous testing, you can also make sure that components or microservices can be updated independently to one another.

#blog #microservices #testing #caylent #contract testing #end-to-end testing #hoverfly #integration testing #microservices #microservices architecture #pact #testing #unit testing #vagrant #vcr

How to Do API Testing?

Nowadays API testing is an integral part of testing. There are a lot of tools like postman, insomnia, etc. There are many articles that ask what is API, What is API testing, but the problem is How to do API testing? What I need to validate.

Note: In this article, I am going to use postman assertions for all the examples since it is the most popular tool. But this article is not intended only for the postman tool.

Let’s directly jump to the topic.

Let’s consider you have an API endpoint example http://dzone.com/getuserDetails/{{username}} when you send the get request to that URL it returns the JSON response.

My API endpoint is http://dzone.com/getuserDetails/{{username}}

The response is in JSON format like below

JSON

{
  "jobTitle": "string",
  "userid": "string",
  "phoneNumber": "string",
  "password": "string",
  "email": "user@example.com",
  "firstName": "string",
  "lastName": "string",
  "userName": "string",
  "country": "string",
  "region": "string",
  "city": "string",
  "department": "string",
  "userType": 0
}

In the JSON we can see there are properties and associated values.

Now, For example, if we need details of the user with the username ‘ganeshhegde’ we need to send a **GET **request to **http://dzone.com/getuserDetails/ganeshhegde **

Now there are two scenarios.

1. Valid Usecase: User is available in the database and it returns user details with status code 200

2. Invalid Usecase: User is Unavailable/Invalid user in this case it returns status with code 404 with not found message.

#tutorial #performance #api #test automation #api testing #testing and qa #application programming interface #testing as a service #testing tutorial #api test

Testing Microservices Applications

The shift towards microservices and modular applications makes testing more important and more challenging at the same time. You have to make sure that the microservices running in containers perform well and as intended, but you can no longer rely on conventional testing strategies to get the job done.

This is where new testing approaches are needed. Testing your microservices applications require the right approach, a suitable set of tools, and immense attention to details. This article will guide you through the process of testing your microservices and talk about the challenges you will have to overcome along the way. Let’s get started, shall we?

A Brave New World

Traditionally, testing a monolith application meant configuring a test environment and setting up all of the application components in a way that matched the production environment. It took time to set up the testing environment, and there were a lot of complexities around the process.

Testing also requires the application to run in full. It is not possible to test monolith apps on a per-component basis, mainly because there is usually a base code that ties everything together, and the app is designed to run as a complete app to work properly.

Microservices running in containers offer one particular advantage: universal compatibility. You don’t have to match the testing environment with the deployment architecture exactly, and you can get away with testing individual components rather than the full app in some situations.

Of course, you will have to embrace the new cloud-native approach across the pipeline. Rather than creating critical dependencies between microservices, you need to treat each one as a semi-independent module.

The only monolith or centralized portion of the application is the database, but this too is an easy challenge to overcome. As long as you have a persistent database running on your test environment, you can perform tests at any time.

Keep in mind that there are additional things to focus on when testing microservices.

• Microservices rely on network communications to talk to each other, so network reliability and requirements must be part of the testing.
• Automation and infrastructure elements are now added as codes, and you have to make sure that they also run properly when microservices are pushed through the pipeline
• While containerization is universal, you still have to pay attention to specific dependencies and create a testing strategy that allows for those dependencies to be included

Test containers are the method of choice for many developers. Unlike monolith apps, which lets you use stubs and mocks for testing, microservices need to be tested in test containers. Many CI/CD pipelines actually integrate production microservices as part of the testing process.

Contract Testing as an Approach

As mentioned before, there are many ways to test microservices effectively, but the one approach that developers now use reliably is contract testing. Loosely coupled microservices can be tested in an effective and efficient way using contract testing, mainly because this testing approach focuses on contracts; in other words, it focuses on how components or microservices communicate with each other.

Syntax and semantics construct how components communicate with each other. By defining syntax and semantics in a standardized way and testing microservices based on their ability to generate the right message formats and meet behavioral expectations, you can rest assured knowing that the microservices will behave as intended when deployed.

#testing #software testing #test automation #microservice architecture #microservice #test #software test automation #microservice best practices #microservice deployment #microservice components

Approaches to Mobile Application Testing

Mobile application testing is the process of every application generated for handheld devices has to go through. This is to assure a specific level of the place before a request is delivered into the marketplace (app store/ play store). Mobile Application Testing is one of the software testing of applications on mobile devices to verify that the properties are running easily in terms of their operations, usability, functions, operations, and interaction. Looking for Mobile Testing Training in Chennai? Step into FITA, We are the best leading institution for Mobile Testing Course in Chennai.

There are two different approaches for Mobile Application testing based on their performance, they are:
• Manual testing
• Automated testing

Manual Testing

Manual testing, as the title implies, is a human method, majorly concentrated on user activity. Evaluation and Report of the application’s security, functionality usability arranged through the factor of a user in an explorative method.
This assures that your statement lives up to a model of user-friendliness. This is a type of measurement that is frequently time-consuming as enthusiasts manage to get the opportunity to become identified.
Twenty percent of app testing must be arranged manually through the guidance of beta and alpha releases and remaining must be motorized.
let’s move on to automated mobile application testing.

Automated Testing

Automated testing is secondary access to mobile application testing. In this method, an array of samples tests are structured. It should generally cover 80% of the testing process. The percentage is not required, but a common guideline developed in the software industry. Here is a list of test events that are frequently achieved through this critical method –

• Automate various tedious standard test cases.
• Automate test cases that can be quickly programmed
• Automate test cases that are impossible to perform manually
• Automate test cases for regularly used functionality
• Automate test cases with expected results

Are you looking for Mobile Testing Training in Bangalore? Step into FITA, and build a strong career. FITA one of the best leading institutions for the Mobile Testing Course in Bangalore.

Check out mobile application testing online training at home with instructor-led live practice and real-life project experience.

#mobile testing training in chennai #mobile testing course in chennai #mobile testing training in bangalore #mobile testing course in bangalore #mobile application testing online training #mobile testing online training