json api helper
Version 1.2.2
yarn add @leobagua/json-api-helper
or
npm install @leobagua/json-api-helper import { Deserializer } from '@leobagua/json-api-helper'
Deserializer . deserialize ( response ) {
"meta" : {
"page" : 1 ,
"resources_per_page" : 5 ,
"total_resources" : 6
},
"data" : [
{
"type" : " authors " ,
"id" : " 1 " ,
"attributes" : {
"name" : " Leonardo da Rosa " ,
"birthplace" : " Brazil "
},
"relationships" : {
"photos" : {
"data" : [
{
"type" : " photos " ,
"id" : " 7 "
},
{
"type" : " photos " ,
"id" : " 8 "
}
]
},
"books" : {
"data" : [
{
"type" : " books " ,
"id" : " 1 "
},
{
"type" : " books " ,
"id" : " 33 "
}
]
}
},
"links" : {
"self" : " /authors/7 "
}
}
],
"included" : [
{
"type" : " photos " ,
"id" : " 7 " ,
"attributes" : {
"title" : " Photo 365 " ,
"uri" : " https: // picsum.photos / id / 378 / 400 / 300.jpg "
}
},
{
"type" : " photos " ,
"id" : " 8 " ,
"attributes" : {
"title" : " Photo 786 " ,
"uri" : " https: // picsum.photos / id / 529 / 400 / 300.jpg "
}
},
{
"type" : " books " ,
"id" : " 1 " ,
"attributes" : {
"title" : " O'Kon, Gorczany and Langworth " ,
"date_published" : " 1987-01-25 " ,
"isbn" : 4294967295
}
},
{
"type" : " books " ,
"id" : " 33 " ,
"attributes" : {
"title" : " Simonis, Simonis and Mills " ,
"date_published" : " 1982-11-30 " ,
"isbn" : 1304049345
}
}
]
} [
{
"id" : 1 ,
"name" : "Leonardo da Rosa" ,
"birthplace" : "Brazil" ,
"author_links" : {
"self" : "/authors/7"
} ,
"author_meta" : { } ,
"photos" : [
{
"id" : 7 ,
"title" : "Photo 365" ,
"uri" : "https://picsum.photos/id/378/400/300.jpg" ,
"photo_links" : { } ,
"photo_meta" : { }
} ,
{
"id" : 8 ,
"title" : "Photo 786" ,
"uri" : "https://picsum.photos/id/529/400/300.jpg" ,
"photo_links" : { } ,
"photo_meta" : { }
}
] ,
"books" : [
{
"id" : 1 ,
"title" : "O'Kon, Gorczany and Langworth" ,
"date_published" : "1987-01-25" ,
"isbn" : 4294967295 ,
"book_links" : { } ,
"book_meta" : { }
} ,
{
"id" : 33 ,
"title" : "Simonis, Simonis and Mills" ,
"date_published" : "1982-11-30" ,
"isbn" : 1304049345 ,
"book_links" : { } ,
"book_meta" : { }
}
]
}
]{
"data" : {
"id" : 1 ,
"type" : " company " ,
"attributes" : {
"name" : " My Company " ,
"number_of_employers" : 20
},
"relationships" : {
"config" : {
"data" : {
"id" : 1 ,
"type" : " config "
}
},
"addresses" : {
"data" : [
{
"id" : 1 ,
"type" : " address "
}
]
},
"stages" : {
"data" : [
{
"id" : 1 ,
"type" : " stage "
},
{
"id" : 2 ,
"type" : " stage "
},
{
"id" : 3 ,
"type" : " stage "
}
]
}
}
},
"included" : [
{
"id" : 1 ,
"type" : " address " ,
"attributes" : {
"street" : " Company street " ,
"country" : " Brazil "
}
},
{
"id" : 1 ,
"type" : " config " ,
"attributes" : {
"logo" : " /assets/fallback/my-logo.png "
},
"relationships" : {
"benefits" : {
"data" : [
{
"id" : 1 ,
"type" : " benefit "
},
{
"id" : 2 ,
"type" : " benefit "
}
]
},
"images" : {
"data" : []
}
}
},
{
"id" : 1 ,
"type" : " benefit " ,
"attributes" : {
"value_type" : " Percentage " ,
"periodicity" : " Monthly " ,
"extensible" : true ,
"value" : 80.00
}
},
{
"id" : 2 ,
"type" : " benefit " ,
"attributes" : {
"value_type" : " Value " ,
"periodicity" : " Monthly " ,
"extensible" : false ,
"value" : 299.90
}
}
]
} {
id : 1 ,
name : 'My Company' ,
number_of_employers : 20 ,
company_links : { } ,
company_meta : { } ,
config : {
id : 1 ,
logo : '/assets/fallback/my-logo.png' ,
config_links : { } ,
config_meta : { }
} ,
addresses : [
{
id : 1 ,
street : 'Company street' ,
country : 'Brazil' ,
address_links : { } ,
address_meta : { }
}
]
}Um einige mühsame Arbeiten mit der Verwendung verschiedener Arten der Namenskonvention der Deserialized-Daten zu verhindern, wurde eine Schicht Multi-Case-Typ hinzugefügt, um jedes analysierte Attribut zu erhalten und festzustellen, wobei der angebotene Falltyp entsprechend angezeigt wurde. Sie können also auf jedes Objektattribut mit Ihrem bevorzugten Fallstyp zugreifen:
company = Deserializer . deserialize ( response )
// Getter
company . company_name // 'My company'
company . companyName // 'My company'
company . CompanyName // 'My company'
company [ 'company-name' ] // 'My company'
// Setter
company . company_name = 'My company in snake_case'
company . companyName = 'My company in camelCase'
company . CompanyName = 'My company in PascalCase'
company [ 'kebab-case' ] = 'My company in kebab-case'
