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unify-errors
Advanced tools
[](https://codeclimate.com/github/qlaffont/unify-errors/test_coverage) [ {
throw new BadRequest({
context: "Example context"
});
}
Return: CustomError with Bad Request message.
Return: CustomError with Unauthorized message.
Return: CustomError with Forbidden message.
Return: CustomError with Not Found message.
Return: CustomError with Request TimeOut message.
Return: CustomError with Internal Server Error message.
Return: CustomError with Not Implemented message.
Return: CustomError with Too Many Requests message.
The CustomError class extends the basic typescript Error class. It is used to create all custom errors.
Params
Field Name | Type | Default | Description |
---|---|---|---|
message | string | mandatory | Mandatory error message property |
context | CustomErrorContext | {} | Optional record of string |
How to use
To create a new error type, create a new class extending CustomError inside the errors folder.
Don't forget to export it from index.ts too
import { CustomErrorContext } from '../types/CustomErrorContext';
import { CustomError } from './CustomError';
export class InternalServerError extends CustomError {
constructor(public context?: CustomErrorContext) {
super('Internal Server error', context);
// Set the prototype explicitly.
Object.setPrototypeOf(this, InternalServerError.prototype);
}
}
To execute jest tests (all errors, type integrity test)
pnpm test
This package use TSdx. Please check documentation to update this package.
FAQs
[](https://codeclimate.com/github/qlaffont/unify-errors/test_coverage) [![Maintainability](https://api.codeclimate.com/v1/badges/6be8e53efc66aabc6a5e/maintainability
The npm package unify-errors receives a total of 210 weekly downloads. As such, unify-errors popularity was classified as not popular.
We found that unify-errors demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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Socket now supports pylock.toml, enabling secure, reproducible Python builds with advanced scanning and full alignment with PEP 751's new standard.
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