No More Mocking! Write Better Tests For Your Nuxt Application With Contract Tests

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Let's explore how to create more resilient software systems employing API-first techniques. By utilizing the contract testing tool Specmatic and the Playwright test runner, we can develop tests that ensure our Nuxt applications work perfectly and communicate correctly with Microservices they rely on to get data.

We will take a closer look at how to write OpenAPI specifications that aid us in documenting our APIs and enable us to ensure they work correctly. Furthermore, we can use those specifications to automatically spin up a stub server, which we can use to test our application in a controlled environment with Playwright.

The techniques I'll show you will help you write tests that enable you to rapidly iterate without fearing regressions.

Learning Outcomes:

1. You know about the basic principles of Contract Testing and how it also helps drive our E2E tests.
2. You know to opt for Contract Testing when working with Microservices and BFFs, database seeding when using Nuxt with a database, and mocking when dealing with SPAs.
3. You know the steps to create your first OpenAPI specification and integrate Specmatic with Playwright or Cypress, and you are keen to apply this technique to your projects.

This talk has been presented at Vue.js Live 2024, check out the latest edition of this JavaScript Conference.

FAQ

The primary challenge is that requests made from the server-side to other server-side applications (microservices) cannot be easily mocked using tools like Playwright and Cypress, complicating end-to-end testing.

Adding a BFF layer simplifies authentication by avoiding the need to expose an access token to the client-side. It also allows the tailoring of data from microservices to meet the specific needs of the client-side application, reducing the need for data conversion logic on the client-side.

Contract testing helps ensure that the client-side and server-side parts of the application correctly interact with each other and with microservices. It verifies that the data exchanged between these components adheres to predefined contracts, ensuring compatibility and reducing integration issues.

Playwright and Cypress are designed to intercept and mock requests made from the client-side (browser) to the server-side. They do not support intercepting or mocking server-to-server requests, which are common in a BFF-based architecture.

A monolithic architecture combines the UI layer, business logic, and data layer in a single application, typically using frameworks like Ruby on Rails or Next.js. Testing often involves techniques like database seeding to ensure the application has the correct data for tests.

Single-page applications can be tested in isolation by mocking all the requests made to the services. Tools like Playwright allow intercepting requests and returning predefined responses, enabling end-to-end testing without relying on the actual services.

Database seeding involves populating the database with a specific dataset before running tests. This ensures that the application has the necessary data to perform the tests accurately. It is commonly used in monolithic applications to set up the test environment.

A stub server simulates the behavior of microservices by providing predefined responses to server-side requests. This allows testing the entire application, including both client-side and server-side components, without relying on the actual microservices.

Testing the border crossing ensures that the client-side and server-side components correctly interact with each other. Without such tests, there is a risk that these parts may not work together as expected, despite having individual tests.

The main challenge is that there are two types of requests to handle: browser-to-server and server-to-server. While browser-to-server requests can be mocked, server-to-server requests cannot be easily intercepted or mocked, complicating comprehensive testing.

Markus Oberlehner
Markus Oberlehner
21 min
25 Apr, 2024

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Video Summary and Transcription

A single-page application utilized a server-side BFF layer to simplify authentication and data customization. Testing a BFF-based architecture involves contract testing and tool usage. Challenges arise when mocking server-to-server requests in a client-side and server-side architecture. Separate tests should be written for client-side and server-side components, with contract testing to ensure compatibility. Integration testing for the front-end and server-side can be done by replacing microservices with a sub-server.

1. Building a Single-Page Application with BFF Layer

Short description:

A couple of years ago, my colleagues and I built a single-page application that obtained data from microservices. While testing was easy, getting data directly from the microservices was complicated. To address this, we added a server-side BFF layer, allowing the client-side application to fetch data from the BFF. This approach simplified authentication and data customization without relying on the client-side.

A couple of years ago, my colleagues and I had to build a new application from scratch. And we decided we wanted to build a single-page application. So our architecture looked some like what you can see here. We had our application, which was a single-page application, which got its data from a couple of microservices.

And so far so good. This had some benefits, like testing was very easy. For testing our whole application in isolation, we could simply mock all the requests to the microservices. But there were also some downsides with this architecture, because we noticed that in some scenarios, getting the data from the microservices directly was rather complicated, because the microservices weren't tailored to the needs of our single-page application. And this is why we decided to adapt our architecture a little bit.

So what we did is, instead of only having a client-side application, we also added a server-side layer, a BFF layer. And now our client-side single-page application didn't get the data directly from microservices, but the client-side piece of our application got its data from the BFF. And the BFF made requests to the services. And this had some benefits. Mostly authentication was easier, for example, because we didn't have to expose an access token to the client-side. And also, we could tailor the data we got from the microservices for the needs of the client-side application, without having to do a lot of data conversion logic on the client-side.

2. Testing BFF-based Architecture

Short description:

Testing a BFF-based architecture has its pros and cons. In this talk, we will explore the differences in testing between monolithic architectures, single-page applications, and full-stack applications with microservices. We will discuss using an API-first approach with contract testing and tools like Playwright and Spagmatic's stub server feature. Additionally, we will compare test writing techniques, including database seeding, for monolithic applications.

But there was also a downside, because now we couldn't just test our whole application, because when testing our application with Playwright, for example, we can only mock requests made from the client-side in the browser to the server-side. So we could only mock those requests, but we couldn't mock those requests anymore, because those requests are made from the server-side to other server-side applications. And this is not possible with tools like Playwright and Cypress.

So there were some pros and some cons to this approach. And in this talk, I want to show you what are the differences regarding testing when we have, for example, a monolithic architecture, single-page applications like we saw in the first slide, and also single-page applications or full-stack applications in combination with microservices, as we saw in the second slide. We will take a look at how we can use an API-first approach with contract testing to fix the problem we faced when switching to a BFF-based architecture, with not being able anymore to mock the request of the microservices. And we will see how we can do this using Playwright and a tool called Spagmatic and the feature it has, which is a stub server feature.

But first, let's take a look at how we wrote tests or how we write tests when we have a monolithic application so that we can see the differences between the different architectures. So with a monolithic application, typically a LRL, a Ruby on Rails, or for example a Nuxt or Next.js application talking to a database. Monolithic application I would define as having UI layer, business logic, and data layer all in one. So with those kinds of applications, we can use a technique like database seeding to write tests or to have the correct data for our tests.

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