Package Exports
- typanion
This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (typanion) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.
Readme
Clipanion
Type-safe CLI library with no dependencies
Installation
yarn add typanion
Why
- Typanion can validate nested arbitrary data structures
- Typanion is type-safe; it uses type predicates
- Typanion allows you to derive types from your schemas
Note: Typanion's standard library isn't huge at the moment (mostly strings, arrays, shapes), more types are expected in future versions.
Usage
First define a schema using the builtin operators:
import * as type from 'typanion';
const movie = type.object({
title: type.string(),
description: type.string(),
});
Then just call the schema to validate any unknown
value:
const userData = JSON.parse(input);
if (movie(userData)) {
console.log(userData.title);
}
You can derive the type from the schema for use in other functions:
import * as type from 'typanion';
const movie = type.object({
title: type.string(),
description: type.string(),
});
type Movie = type.InferType<typeof movie>;
// Then just use your alias:
const printMovie = (movie: Movie) => {
// ...
};
Types can be kept in separate variables if needed:
import * as type from 'typanion';
const actor = type.object({
name: type.string();
});
const movie = type.object({
title: type.string(),
description: type.string(),
actors: type.array(actor),
});
API
Type predicates
array(spec)
will ensure that the values are arrays whose values all match the specified schema.cascade(spec, [specA, specB, ...])
will ensure that the values all matchspec
and, if they do, run the followup validations as well. Since those followups will not contribute to the inference (only the lead schema will), you'll typically want to put here anything that's a logical validation, rather than a typed one (cf the Cascading Predicates section).literal(value)
will ensure that the values are strictly equal to the specified expected value. It's an handy tool that you can combine withoneOf
andobject
to parse structures similar to Redux actions, etc.object(props)
will ensure that the values are plain old objects whose properties match the given shape.oneOf([specA, specB])
will ensure that the values all match any of the provided schema. As a result, the inferred type is the union of all candidates.string()
will ensure that the values are all regular strings.
Cascading predicates
maxLength
will ensure that the values all have alength
property at most equal to the specified value.minLength
will ensure that the values all have alength
property at least equal to the specified value.
License (MIT)
Copyright © 2019 Mael Nison
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.