schema-json-form-atter
v0.2.1
Published
JSON schema generator and translator intergrated for forms
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Schema-JSON-Form-atter
Schema JSON Form-atter its a library that's able to build, standarize, and schematize forms facing to its storage and validation. Build a FormSchema
anyway you want, statically or with a CMS. Convert it to an storable object and store it the way you want. Convert it to a validation schema the way you want with the library you want (native support for yup) and validate the payload from the form that you created. On the other side get a JSON from anywhere, then turn it to a FormSchema
and map it the way you want to UI Components.
How to install
- npm
npm install schema-json-form-atter
- yarn
yarn add schema-json-form-atter
- pnpm
pnpm add schema-json-form-atter
Table of Contents
Fragments
Fragments are the base of the Form-atter. Every Fragment should be in some point mapped to an UI Component some examples:
Examples
const inputFragment = new InputFragment('INPUT_TEXT','test-input-name','string',[
{
type: 'VALIDATION_REQUIRED',
msg: 'This field is required'
}
//some validations
],{
defaultValue: 'default',
placeholder: 'Test',
//some other custom props that you want to define
})
//this input fragment represents an Input component with
//custom props that can be mapped to a UI element and schema validation object.
const blockFragment = new BlockFragment(
'BLOCK_ROW','test-row',
[inputFragment] /*Array filled with childrens*/,
undefined /*Some custom validation*/
)
toObject(): JsonObject
Serialize the class to JSON compatible object.
static fromJSON(obj: JsonObject, fromJSONParser?: FromJSONParser): Fragment
Parses incoming JSON to a new Fragment
.
InputFragment
An InputFragment
its a special Fragment that stands for input component in forms. This Fragments will also be used to generate the form schema. In case you need there's the options property to pass special options related to UI or behavior such the following:
- placeholder
- default value
- label
- options for select
- loadOptions service with keywords
Some validations can be added to the Input Fragment.
Example
const inputFragment = new InputFragment('INPUT_TEXT','test-input-name','string',[
{
type: 'VALIDATION_REQUIRED',
msg: 'This field is required'
}
//some validations
],{
defaultValue: 'default',
placeholder: 'Test',
//some other custom props that you want to define
})
//this input fragment represents an Input component with
//custom props that can be mapped to a UI element and schema validation object.
BlockFragment
A BlockFragment
it's an all purpose Fragment
that it's intended to be mapped to whatever you want. It can be used as layout passing fields prop to render childrens of a block element.
Example
const blockFragment = new BlockFragment(
'BLOCK_ROW','test-row',
[inputFragment] /*Array filled with childrens*/,
undefined /*Some custom validation*/
)
Defining new Fragments
To define a new fragment you should implement a new class that inherits class Fragment
. Instead of definig a new class for UI components use BlockFragment
. A new Fragment that can be defined is for Example MetaFragment
, that stores in some way meta info about the form or the parent BlockFragment
component.
FromJSONParser
A FromJSONParser
its an object that stands to get the way any Fragment-like class is parsed from JSON. It's defined a FromJSONParser
by default defaultFromJSONParser
.
Validations
Some custom validations are defined by default but any new validation can be casted from somthing like:
const validation = {
type: 'CUSTOM_VALIDATION_{test}',
options:{
//anything can be here
}
}
Anything can be used as a validation as long as you add a way to handle it later.
SchemaTransformer
A SchemaTransformer
it's an object intended to convert an Input to a Validation-like structure. It have a typeMapper
that converts an input type to a base validation-like object withot any more restrictions than the type itself. It also have a validationTransformer
that apply each validation to a validation-like object and return another object with the current validation applied.
public addTransformer(type: string, transformer: (validation: InputValidation, currentSchema: T) => T):void
Add a transformer to the validationTransformer
public addTypeMapper(type: string, mapper: () => T):void
Add a type to the typeMapper
yup
By default the Form-atter is integrated with yup for validation. Simply call
const transformer = YupSchemaTransformer()
Adding other validation libraries
If you want to integrate a new library for validation for example Joi. Just create a new TypeMapper
and a new ValidationTransformer
and create a new instance of SchemaTransformer
using them.
FormSchema
A FormSchema
is the main form component. It have fields for composing the form.
{
"_id": "5a9b1b9e3d1e86653a79b1b9",
"name": "Sample Form",
"options": {
"autoSubmit": true,
"toLink": true
},
"fields": [
{
"_id": "1",
"name": "email",
"type": "INPUT_TEXT",
"validation":[
{
"type": "VALIDATION_EMAIL",
"msg": "Should be an email"
}
],
"dataType": "string",
"options":{
"placeholder": "Email",
"label": "Email",
"helperText": "please enter your email"
},
"excludeFromValidation": false,
"FRAGMENT_TYPE": "INPUT"
},
{
"_id": "2",
"name": "age",
"type": "INPUT_NUMBER",
"validation":[
{
"type": "VALIDATION_MIN",
"msg": "Should have at least 0 years",
"value": 0
},
{
"type": "VALIDATION_MAX",
"value": 100,
"msg": "Are you a human?"
}
],
"dataType": "number",
"options":{
"defaultValue": 18,
"placeholder": "Age",
"label": "Age"
},
"excludeFromValidation": false,
"FRAGMENT_TYPE": "INPUT"
}
]
}
Call FormSchema.fromJSON(json)
to create a form from an incoming JSON-like object. Also can be serialized to an object calling form.toObject()
.
Calling form.toSchema(transformer)
transform the form into a Validation-like object.
yup
By default the Form-atter is integrated with yup for validation. Simply call
const formSchema = FormYupSchema(...)
const schema = formSchema.toSchema()
Adding other validation libraries
If you want to integrate a new library for validation for example Joi. Just create a new FormSchema
class that inherit from FormSchema
and call it using previously defined SchemaTransformer
while overriding methods.