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blork

Blork! Mini runtime type checking in Javascript

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Blork! Mini runtime type checking in Javascript

Build Status Prettier npm

A mini type checker for locking down the external edges of your code. Mainly for use in modules when you don"t know who'll be using the code. Minimal boilerplate code keeps your functions hyper readable and lets them be their beautiful minimal best selves (...or something?)

Blork is fully unit tested and 100% covered (if you're into that!).

Installation

npm install blork

Usage

args(): Check function arguments

The primary use case of Blork is validating function input arguments. The args() function is provided for this purpose, and should be passed two arguments:

  1. arguments | The arguments object provided automatically to functions in Javascript
  2. types | An array identifying the types for the arguments (list of types is available below)
import { args } from "blork";

// An exported function other (untrusted) developers may use.
export default function myFunc(definitelyString, optionalNumber)
{
	// Check the args.
	args(arguments, ["string", "number?"]);

	// Rest of the function.
	return "It passed!";
}

// Call with good args.
myFunc("abc", 123); // Returns "It passed!"
myFunc("abc"); // Returns "It passed!"

// Call with invalid args.
myFunc(123); // Throws TypeError "arguments[0]: Must be string (received 123)"
myFunc("abc", "abc"); // Throws TypeError "arguments[1]: Must be number (received "abc")"
myFunc(); // Throws TypeError "arguments[0]: Must be string (received undefined)"
myFunc("abc", 123, true); // Throws TypeError "arguments: Too many arguments (expected 2) (received 3)"

check(): Check individual values

The check() function allows you to test individual values with more granularity. The check() function is more versatile and allows more use cases than validating function input arguments.

check() can be passed three arguments:

  1. value | The value to check
  2. type | The type to check the value against (list of types is available below)
  3. An optional string name/prefix for the value, which is prepended to any error message thrown to help debugging
import { check } from "blork";

// Checks that pass.
check("Sally", "string"); // No error.
check("Sally", String); // No error.

// Checks that fail.
check("Sally", "number"); // Throws TypeError "Must be number (received "Sally")"
check("Sally", Boolean); // Throws TypeError "Must be true or false (received "Sally")"

// Checks that fail (with a prefix/name set).
check("Sally", "num", "name"); // Throws TypeError "name: Must be number (received "Sally")"
check(true, "str", "status"); // Throws TypeError "status: Must be string (received true)"

Another common use for check() is to validate an options object:

import { check } from "blork";

// Make a custom function.
function myFunc(options)
{
	// Check all the options with a literal type (note that keepAlive is optional).
	check(options, { name: "string", required: "boolean", keepAlive: "number?" });
}

Checking optional values

Appending ? question mark to any type string makes it optional. This means it will accept undefined in addition to the specified type.

// This check fails because it"s not optional.
check(undefined, "number"); // Throws TypeError "Must be number (received undefined)"

// This check passes because it"s optional.
check(undefined, "number?"); // No error.

// Null does not count as optional.
check(null, "number?"); // Throws TypeError "Must be number (received null)"

Checking objects and arrays

Blork can perform deep checks on objects and arrays to ensure the schema is correct. To do object or array checks pass literal arrays or literal objects to check() or args():

// Check object properties.
check({ name: "Sally" }, { name: "string" }); // No error.

// Check all array items.
check(["Sally", "John", "Sonia"], ["str"]); // No error.

// Check tuple-style array.
check([1029, "Sonia"], ["number", "string"]); // No error.

// Failing checks.
check({ name: "Sally" }, { name: "string" }); // No error.
check(["Sally", "John", "Sonia"], ["str"]); // No error.
check([1029, "Sonia"], ["number", "string"]); // No error.
check([1029, "Sonia", true], ["number", "string"]); // Throws TypeError: "Array: Too many array items (expected 2) (received 3)"

Arrays and objects can be deeply nested within each other and Blork will recursively check the schema all the way down:

// Deeply nested check (passes).
// Will return 1
check(
	[
		{ id: 1028, name: "Sally", status: [1, 2, 3] },
		{ id: 1062, name: "Bobby", status: [1, 2, 3] }
	],
	[
		{ id: Number, name: String, status: [Number] }
	]
);

// Deeply nested check (fails).
// Will throw TypeError "Array[1][status][2]: Must be number (received "not_a_number")"
check(
	[
		{ id: 1028, name: "Sally", status: [1, 2, 3] },
		{ id: 1062, name: "Bobby", status: [1, 2, "not_a_number"] }
	],
	[
		{ id: Number, name: String, status: [Number] }
	]
);

add(): Add a custom checker type

Register your own checker using the add() function. This is great if 1) you're going to be applying the same check over and over, or 2) want to integrate your own checks with Blork's built-in types so your code looks clean.

import { add, check } from "blork";

// Register your new checker.
add(
	// Name of checker.
	"catty", 
	// Checker to validate a string containing "cat".
	(v) => typeof v === "string" && v.strToLower().indexOf("cat") >= 0,
	// Description of what the variable _should_ contain.
	// Gets shown in the error message.
	"string containing 'cat'"
);

// Passes.
check("That cat is having fun", "catty"); // No error.
check("That CAT is having fun", "catty"); // No error.

// Fails.
check("A dog sits on the chair", "catty"); // Throws TypeError "Must be string containing "cat" (received "A dog sits on the chair")"

// Combine a custom checkers with a built-in checker using `&` syntax.
// The value must pass both checks or an error will be thrown.
check("A CAT SAT ON THE MAT", "catty & upper+"); // No error.
check("A DOG SAT ON THE MAT", "catty & upper+"); // Throws TypeError "Must be string containing 'cat' and non-empty uppercase string""
import { add, args } from "blork";

// Use your checker to check function args.
function myFunc(str)
{
	// Validate the function's args!
	args(arguments, ["catty"]);

	// Big success.
	return "It passed!";
}

// Passes.
myFunc("That cat is chasing string"); // Returns "It passed!"

// Fails.
myFunc("A dog sits over there"); // Throws TypeError "arguments[1]: Must be string containing "cat" (received "A dog sits over there")"

throws(): Set a custom error constructor

To change the error object Blork throws when a type doesn't match, use the throws() function.

import { throws, check } from "blork";

// Make a custom error type for yourself.
class MyError extends Error {};

// Register your custom error type.
throws(MyError);

// Test a value.
check(true, "false"); // Throws MyError "Must be false (received true)"

blork(): Create an independent instance of Blork

To create an instance of Blork with an independent set of checkers (added with add()) and an independently set throws() error object, use the blork() function.

This functionality is provided so you can ensure multiple versions of Blork in submodules of the same project don't interfere with each other, even if they have been (possibly purposefully) deduped in npm. This is how you can ensure if you've set a custom error for a set of checks, that custom error type is always thrown.

import { blork } from "blork";

// Create a new set of functions from Blork.
const { check, args, add, throws } = blork();

// Set a new custom error on the new instance.
throws(class CustomError extends TypeError);

// Add a custom checker on the new instance.
add("mychecker", v => v === "abc", "'abc'");

// Try to use the custom checker.
check("123", "mychecker"); // Throws CustomChecker("Must be 'abc' (received '123')")

Types

String types

Types are generally accessed via a string reference. This list shows all Blork built-in checkers:

Type string referenceDescription
nullValue is null
undefined, undef, voidValue is undefined
defined, defValue is not undefined
boolean, boolValue is true or false
trueValue is true
falseValue is false
truthyAny truthy values (i.e. == true)
falsyAny falsy values (i.e. == false)
number, numNumbers excluding NaN/Infinity (using typeof and finite check)
number+, num+Numbers more than or equal to zero
number-, num-Numbers less than or equal to zero
integer, intIntegers (using Number.isInteger())
integer+, int+Positive integers including zero
integer-, int-Negative integers including zero
string, strStrings (using typeof)
string+, str+Non-empty strings (using str.length)
lowercase, lowerStrings with no uppercase characters
lowercase+, lower+Non-empty strings with no uppercase characters
uppercase, upperStrings with no lowercase characters
uppercase+, upper+Non-empty strings with no lowercase characters
function, funcFunctions (using instanceof Function)
object, objPlain objects (using instanceof Object and constructor check)
object+, obj+Plain objects with one or more properties (using Object.keys().length)
objectlikeAny object-like object (using instanceof Object)
iterableObjects with a Symbol.iterator method (that can be used with for..of loops)
array, arrPlain instances of Array (using instanceof Array and constructor check)
array+, arr+Plain instances of Array with one or more items
arraylikeAny object, not just arrays, with numeric .length property
arguments, argsArguments objects (any object, not just arrays, with numeric .length property)
mapInstances of Map
map+Instances of Map with one or more items
weakmapInstances of WeakMap
setInstances of Set
set+Instances of Set with one or more items
weaksetInstances of WeakSet
promiseInstances of Promise
dateInstances of Date
date+, futureInstances of Date with a value in the future
date-, pastInstances of Date with a value in the past
regex, regexpInstances of RegExp (regular expressions)
any, mixedAllow any value (transparently passes through with no error)
// Pass.
check("abc", "str"); // No error.
check("abc", "lower"); // No error.
check(100, "whole"); // No error.
check([1, 2, 3], "array+"); // No error.
check(new Date(2180, 1, 1), "future"); // No error.

// Fail.
check(123, "str"); // Throws TypeError "Must be string (received 123)"
check({}, "object+"); // Throws TypeError "Must be object with one or more properties (received Object(0))"
check([], "array+"); // Throws TypeError "Must berray with one or more items (received Array(0))"

Optional string types

Any type can be made optional by appending a ? question mark to the type reference. This means the check will also accept undefined in addition to the specified type.

// Pass.
check(undefined, "str?"); // No error.
check(undefined, "lower?"); // No error.
check(undefined, "whole?"); // No error.
check([undefined, undefined, 123], ["number?"]); // No error.

// Fail.
check(123, "str?"); // Throws TypeError "Must be string (received 123)"
check(null, "str?"); // Throws TypeError "Must be string (received null)"

Combined string types

You can use & and | to join string types together, to form AND and OR chains of allowed types. This allows you to compose together more complex types like number | string or date | number | null or string && custom-checker

| is used to create an OR type, meaning any of the values is valid, e.g. number|string or string | null

// Pass.
check(123, "str|num"); // No error.
check("a", "str|num"); // No error.

// Fail.
check(null, "str|num"); // Throws TypeError "Must be string or number (received null)"
check(null, "str|num|bool|func|obj"); // Throws TypeError "Must be string or number or boolean or function or object (received null)"

& is used to create an AND type, meaning the value must pass all of the checks to be valid. This is primarily useful for custom checkers e.g. lower & username-unique.

// Pass.
check("this cat is crazy!", "lower & catty"); // No error.
check("THIS cat is crazy!", "string & catty"); // No error.

// Fail.
check(null, "str & num"); // Throws TypeError "Must be string and number (received null)"

Note: & has a higher precedence than |, meaning a type like string & lower | upper compiles to (lower | upper) & string.

Note: All built in checkers like lower or int+ already check the basic type of a value, so there's no need to use string & lower or number & int+. These will work but you'll be double checking.

Note: Spaces around the & or | are not required (but can be more readable).

Constructor and constant types

For convenience some constructors (e.g. String) and constants (e.g. null) can be used as types in args() and check(). The following built-in objects and constants are supported:

TypeDescription
BooleanSame as 'boolean' type
StringSame as 'string' type
NumberSame as 'number' type
trueSame as 'true' type
falseSame as 'false' type
nullSame as 'null' type
undefinedSame as 'undefined' type

You can pass in any class name, and Blork will check the value using instanceof and generate a corresponding error message if the type doesn't match.

Using Object and Array constructors will work also and will allow any object that is instanceof Object or instanceof Array. Note: this is not the same as e.g. the 'object' and 'array' string types, which only allow plain objects an arrays (but will reject objects of custom classes extending Object or Array).

// Pass.
check(true, Boolean); // No error.
check("abc", String); // No error.
check(123, Number); // No error.
check(new Date, Date); // No error.
check(new MyClass, MyClass); // No error.
check(Promise.resolved(true), Promise); // No error.
check([true, true, false], [Boolean]); // No error.
check({ name: 123 }, { name: Number }); // No error.

// Fail.
check("abc", Boolean); // Throws TypeError "Must be true or false (received "abc")"
check("abc", String); // Throws TypeError "Must be string (received "abc")"
check("abc", String, "myVar"); // Throws TypeError "myVar: Must be string (received "abc")"
check(new MyClass, OtherClass); // Throws TypeError "Must ben instance of OtherClass (received MyClass)"
check({ name: 123 }, { name: String }); // Throws TypeError "name: Must be string (received 123)"
check({ name: 123 }, { name: String }, "myObj"); // Throws TypeError "myObj[name]: Must be string (received 123)"

Object literal type

To check the types of object properties, use a literal object as a type. You can also deeply nest these properties and the types will be checked recursively and will generate useful debuggable error messages.

Note: it is fine for objects to contain additional properties that don't have a type specified.

// Pass.
check({ name: "abc" }, { name: "str" }); // No error.
check({ name: "abc" }, { name: "str?", age: "num?" }); // No error.
check({ name: "abc", additional: true }, { name: "str" }); // Throws nothing (additional properties are fine).

// Fail.
check({ age: "apple" }, { age: "num" }); // Throws TypeError "age: Must be number (received "apple")"
check({ size: { height: 10, width: "abc" } }, { size: { height: "num", width: "num" } }); // Throws TypeError "size[width]: Must be number (received "abc")"

Object literal type (with additional properties)

To check that the type of all properties in an object all conform to a type, use an ANY key. This allows you to check objects that don't have known keys (e.g. from user generated data). This is similar to how indexer keys work in Flow or Typescript.

import { check, ANY } from "blork";

// Pass.
check({ a: 1, b: 2, c: 3 }, { [ANY]: "num" }); // No error.
check({ name: "Dan", a: 1, b: 2, c: 3 }, { name: "str", [ANY]: "num" }); // No error.

// Fail.
check({ a: 1, b: 2, c: "abc" }, { [ANY]: "num" }); // Throws TypeError "c: Must be number (received "abc")"

If you wish you can use this functionality with the undefined type to ensure objects do not contain additional properties (object literal types by default are allowed to contain additional properties).

// Pass.
check({ name: "Carl" }, { name: "str", [ANY]: "undefined" }); // No error.

// Fail.
check({ name: "Jess", another: 28 }, { name: "str", [ANY]: "undefined" }); // Throws TypeError "another: Must be undefined (received 28)"

Array literal type

To check an array where all items conform to a specific type, pass an array as the type. Arrays and objects can be deeply nested to check types recursively.

// Pass.
check(["abc", "abc"], ["str"]); // No error.
check([123, 123], ["num"]); // No error.
check([{ names: ["Alice", "John"] }], [{ names: ["str"] }]); // No error.

// Fail.
check(["abc", "abc", 123], ["str"]); // Throws TypeError "Array[2]: Must be number (received 123)"
check(["abc", "abc", 123], ["number"]); // Throws TypeError "Array[0]: Must be string (received "abc")"

Array tuple type

Similarly, to check the format of tuples, pass an array with two or more items as the type. If two or more types are in an type array, it is considered a tuple type and will be rejected if it does not conform exactly to the tuple.

// Pass.
check([123, "abc"], ["num", "str"]); // No error.
check([123, "abc"], ["num", "str", "str?"]); // No error.

// Fail.
check([123], ["num", "str"]); // Throws TypeError "Array[1]: Must be string (received undefined)"
check([123, 123], ["num", "str"]); // Throws TypeError "Array[1]: Must be string (received 123)"
check([123, "abc", true], ["num", "str"]); // Throws TypeError "Array: Too many items (expected 2 but received 3)"

Contributing

Please see (CONTRIBUTING.md)

Roadmap

  • Support @decorator syntax for class methods (PRs welcome)

Changelog

  • 4.0.0
    • Major internal rewrite with API kept almost the same.
    • Add support for combining checkers with | and & syntax.
    • check() and args() no longer return anything (previously returned the number of passing values).
    • Custom checkers should now return boolean (message/description for the checker can be passed in as third field to add()).

FAQs

Package last updated on 27 Mar 2018

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