fast-check
navit
| fast-check | navit | |
|---|---|---|
| 21 | - | |
| 4,107 | 47 | |
| - | - | |
| 9.8 | 5.4 | |
| 5 days ago | over 2 years ago | |
| TypeScript | JavaScript | |
| MIT License | MIT License |
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fast-check
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The 5 principles of Unit Testing
Libraries like JSVerify or Fast-Check offer essential tools to facilitate property-based testing.
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How to Survive Your Project's First 100k Lines
Strong agree!
For JavaScript, I suggest folks check out fast-check [0] and this introduction to property-based testing that uses fast-check [1].
This is broadly useful, but one specific place I've found it helpful was to check redux reducers against generated lists of actions to find unchecked edge cases and data assumptions.
[0] https://github.com/dubzzz/fast-check
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Master property-based testing in JavaScript: A step-by-step tutorial
Brilliant, this is a massive improvement. Previously I was fumbling around in https://github.com/dubzzz/fast-check/tree/main/packages/fast-check/documentation for info.
- Bring the power of property based testing framework fast-check into Vitest
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[AskJS] Should I be generating random data for parameters when unit testing?
There's a library for exactly that: FastCheck.
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Integrate Jest and fast-check together
It makes @fast-check/jest, the best option to integrate Jest and fast-check, as it provides an abstraction over both to ease their mutual integration.
- I Created an API to Generate Mock Information
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Generating dummy entities with random data for tests based on types
The closest that I know of (and I have not used this) is zod-fast-check. It generates fast-check “arbitraries” (test data generators) for property-based testing based on zod schemas. Of course, this requires that you use zod to define your types, which has some downsides. Fortunately there is another tool, ts-to-zod, (which I also have not used) which will codegen zod schemas based on TS type definitions. If you thread these four libraries together you should end up with the ability to write random tests on generated data with very little overhead. In theory.
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Best practice where to test validation?
For something like this, I might break out fast-check for testing. It’s good at generating a wide range of values for a given type, and could help you get good test coverage without having to hand-author a lot of repetitive error inputs.
- Fast-check: How it works
navit
We haven't tracked posts mentioning navit yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
Unexpected - Unexpected - the extensible BDD assertion toolkit
tape - tap-producing test harness for node and browsers
jest - Delightful JavaScript Testing.
nyc - the Istanbul command line interface
toxy - Hackable HTTP proxy for resiliency testing and simulated network conditions
trevor - 🚦 Your own mini Travis CI to run tests locally
intern - A next-generation code testing stack for JavaScript.
test-each - 🤖 Repeat tests. Repeat tests. Repeat tests.
istanbul - Yet another JS code coverage tool that computes statement, line, function and branch coverage with module loader hooks to transparently add coverage when running tests. Supports all JS coverage use cases including unit tests, server side functional tests and browser tests. Built for scale.