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@qavajs/validation

v1.6.1

Published

@qavajs library that transform plain english definition to validation functions

Downloads

11,056

Readme

@qavajs/validation

A @qavajs library for validating data using plain English definitions. This package simplifies the process of creating validation functions by translating human-readable sentences into executable code.

Installation

You can install the library using npm:

npm install @qavajs/validation

Supported Validations

This library supports a variety of validation types, which can all be negated by adding the word not.

Equality & Comparison

  • equal: Checks for non-strict equality (==).
  • strictly equal: Checks for strict equality (===).
  • deeply equal: Performs a deep comparison of object properties or array elements.
  • deeply strictly equal: Performs a deep comparison of object properties or array elements with nodejs util.isDeepStrictEqual
  • case insensitive equal: Compares two values for non-strict equality after converting them to lowercase.
  • contain: Verifies if a string contains a specific substring.
  • include members: Checks if an array or object includes a specific set of members.
  • have members: Validates if an array or object has an exact match of a specified set of members.
  • have property: Ensures an object has a particular property.
  • above / greater than: Checks if a value is greater than another.
  • below / less than: Checks if a value is less than another.
  • match: Validates if a string matches a regular expression.
  • have type: Checks the type of a variable (e.g., string, number, boolean).
  • match schema: Validates data against an ajv schema, which is useful for complex object validation.
  • satisfy: verify user-defined expectation provided as predicate

Standalone expect

You can use standalone extendable expect with many assertions out of the box

import { expect } from '@qavajs/validation';

expect(1).toEqual(1);

Test

To run the test suite for this package, use the following command:

npm run test

License

This project is licensed under the MIT License.