Structural-matching for JavaScript.
- validating user input / config files
- validating inbound HTTP request payloads
- writing expressive unit tests
- Getting started
- Syntactic sugar
- A more complex example
- Optional values
- Defining custom matchers
- Asserting on matchers
- A note on performance
npm install strummer
var s = require('strummer');
var person = s({
name: 'string',
age: 'number',
address: {
city: 'string',
postcode: 'number'
},
nicknames: ['string']
});
console.log(person(bob));
// [
// { path: 'name', value: null, message: 'should be a string' }
// { path: 'address.postcode', value: 'NY', message: 'should be a number' }
// ]The example above is actually syntactic sugar for:
var person = s({
name: s.string(),
age: s.number(),
address: s.object({
city: s.string(),
postcode: s.number()
}),
nicknames: s.array({of: s.string()})
});This means all matchers are actually functions, and can potentially take extra parameters.
s.number({min:1, max:100})Some of the most common built-in matchers are
s.array({min, max, of})s.boolean()s.duration({min, max})s.enum({name, values, verbose})s.func({arity})s.hashmap({keys, values})s.integer({min, max})s.isoDate()s.number({min, max})s.object(fields)s.objectWithOnly(fields)s.regex(reg)s.string({min, max})s.url()s.uuid({version})
They all come with several usage examples. Matchers usually support both simple / complex usages, with nice syntactic sugar.
Here's an example that mixes nested objects, arrays, and matches on different types with extra options.
var person = s({
id: s.uuid({version: 4}),
name: 'string',
age: s.number({min: 1, max: 100}),
address: {
city: 'string',
postcode: 'number'
},
nicknames: [{max: 3, of: 'string'}],
phones: [{of: {
type: s.enum({values: ['MOBILE', 'HOME']}),
number: 'number'
}}]
});You can of course extract matchers to reuse them, or to make the hierarchy more legible.
var age = s.number({min: 1, max: 100})
var address = {
city: 'string',
postcode: 'number'
};
var person: s({
name: 'string',
age: age,
home: address
});By default, all matchers expect the value to exist. In other words every field is required in your schema definition.
You can make a field optional by using the special s.optional matcher,
which wraps any existing matcher.
// wrapping a shorthand notation
name: s.optional('string'),
// wrapping an actual matcher
age: s.optional(s.number({min: 1})),
// wrapping a matcher defined somewhere else
home: s.optional(address)Matchers are functions that return one or more errors for a given value. The canonical form is:
function myMatcher(opts) {
return function(path, value) {
if (/* the value is not right */) {
return [{
path: 'some.field',
value: 'hello',
message: 'should be different'
}];
}
};
}In most cases though, you won't need to report a different path or value from the ones that are passed in.
These simpler matchers can be defined as:
function myMatcher(opts) {
return s(function(value) {
if (/* the value is not right */) {
return 'should be different';
}
});
}You can use these matchers like any of the built-in ones.
s({
name: 'string',
id: myMatcher({max: 3})
})Matchers normally return the following structure:
[
{ path: 'person.name', value: null, message: 'should be a string' }
]In some cases, you simply want to throw any errors - for example in the context of a unit test.
Strummer provides the s.assert function for that purpose:
s.assert(name, 'string');
// name should be a string (but was null)
s.assert(nicknames, ['string']);
// name[2] should be a string (but was 123)
// name[3] should be a string (but was 456)
s.assert(person, {
name: 'string',
age: s.number({max: 200})
});
// person.age should be a number <= 200 (but was 250)The 2 main rules for performance are:
-
If you need to validate many objects of the same kind, you should declare matchers upfront and reuse them.
-
All syntactic sugar is processed at creation time. This means shorthand notations don't cause any performance overhead compared to their canonical equivalents.
Of course, actual performance depends on the complexity of your matchers / objects. If you're interested in figures, some stats are printed as part of the unit test suite:
s({
id: s.uuid({version: 4}),
name: 'string',
age: s.optional(s.number({min: 1, max: 100})),
addresses: s.array({of: {
type: 'string',
city: 'string',
postcode: 'number'
}}),
nicknames: [{max: 3, of: 'string'}],
phones: [{of: {
type: s.enum({values: ['MOBILE', 'HOME']}),
number: /^[0-9]{10}$/
}}]
})
// ┌───────────────────────┬─────────────────┐
// │ Number of validations │ Total time (ms) │
// ├───────────────────────┼─────────────────┤
// │ 10,000 │ 294 │
// └───────────────────────┴─────────────────┘
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