Pact JVM
Spock
Pact JVM | Spock | |
---|---|---|
25 | 11 | |
1,058 | 3,489 | |
0.6% | 0.1% | |
8.9 | 9.4 | |
9 days ago | 9 days ago | |
Kotlin | Java | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Pact JVM
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Running tests against a different repository (CI/CD)
API Contract Testing might be worth exploring. Gives you the ability to run it quickly locally or in CI/CD. A centralized way to validate if your changes broke another service might also be interesting. That series of videos from the same team is gold: https://docs.pact.io
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API testing for new project (new to APIs)
We use Pact for contract testing https://docs.pact.io/
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Why I will stop mocking for most of my Unit Tests in a Spring-Boot Application
The introduction here is quite good: https://docs.pact.io/
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Does anyone know how to do an integration test on microservices build with asp core?
Pact.Net documentation: https://docs.pact.io/ Mountebank documentation: http://www.mbtest.org/ The Microsoft.AspNetCore.TestHost package on GitHub: https://github.com/aspnet/AspNetCore/tree/main/src/Testing/Microsoft.AspNetCore.TestHost
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Integration testing best practices for API servers...
There's also https://docs.pact.io/ but I haven't had time yet to really look into it but probably someone else can tell something about it.
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🤝 Contract Testing with Pact
This PoC shows a step by step implementation of contract testing using Pact.
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Operation Pact or: How I Learned to Stop Worrying and Love Contract Testing
Contract tests assert that inter-application messages conform to a shared understanding documented in a contract. Without contract testing, the only way to ensure that applications will work correctly together is by using expensive and brittle integration tests.
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How to Share API Changes with Your Team
If you are updating your API based on user feedback, you can work with your team or stakeholders to build an API contract describing how your API should function. You can use JSON schemas to document your API’s endpoint response codes and set up the contract. The contract must be accepted by all parties. Then, any changes made to the API must pass the contract test before being approved. Contract testing can be automated and incorporated into your CI/CD pipeline. Contract testing tools include Pact and Spring Cloud Contract.
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Book notes: Turn the Ship Around!
Pact.
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I have difficulties in unit testing
I have contract tests (https://docs.pact.io/) to ensure the integration works.
Spock
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Mastering Spring Cloud Gateway Testing: Predicates (part 1)
I love using the Spock framework for its simplicity, readability, and maintainability. That's why we use Spock to drive our integration tests.
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Helidon Níma is the first Java microservices framework based on virtual threads
Well I care a lot that it exists. And many other people I know do as well. Just because you don't seem to like it, you shouldn't imagine everyone else is like you.
Maybe Grails is no longer used as much (like Rails itself), but Groovy found other usages since then, like https://spockframework.org/ and Jenkins pipelines (https://www.jenkins.io/doc/book/pipeline/syntax/). It's not going anywhere, and I see no reason for anyone to be upset about it.
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Ask HN: What's your favorite software testing framework and why?
In my opinion it is Spock for Java/Groovy [1]. The amount of functionality and readability you can squeeze from Groovy's DSLesque is absurd. Is basically a full fledged new test language with Java sprinkled as the test contents code
[1]: https://spockframework.org/
- 7 Awesome Libraries for Java Unit & Integration Testing
- There is framework for everything.
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Are there languages that allow to extend its syntax ?
Groovy allows you to perform transforms on it's AST. If you look at the Spock framework, they used AST transforms to pull off a lot of the DSL.
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Using Cucumber and Spock for API test Automation — What Benefits Can You Expect?
Spock and Cucumber exemplify the philosophy of behavior-driven development (BDD). The principle behind BDD is that you must first define the desired result of the added feature in a subject-oriented language before writing any tests. The developers are then given the final documentation.
- A linguagem de programação Groovy - Radar da itexto
- Gradle 7.0 Released
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HTTPS Client Certificate Authentication With Java
As a quick demonstration, the following (Spock) test asserts that the client JVM code fails to create an SSL connection with the service. Note that I chose to use Vert.x Web Client to handle interacting with the service, but don't let this decision distract from the core content of this post. Nevertheless, if you haven't used Vert.x, I encourage you to try it out -- especially for building server-side network applications.
What are some alternatives?
WireMock - A tool for mocking HTTP services
Cucumber - Cucumber for the JVM
REST Assured - Java DSL for easy testing of REST services
Testcontainers - Testcontainers is a Java library that supports JUnit tests, providing lightweight, throwaway instances of common databases, Selenium web browsers, or anything else that can run in a Docker container.
AssertJ - AssertJ is a library providing easy to use rich typed assertions
Mockito - Most popular Mocking framework for unit tests written in Java
Awaitility - Awaitility is a small Java DSL for synchronizing asynchronous operations
Karate - Test Automation Made Simple
ArchUnit - A Java architecture test library, to specify and assert architecture rules in plain Java