This library provides an inference of object shape given a JavaScript data object. It probably won't work well with circular references. But any object that comes from JSON will not have circular references.
It works well on very small or very large objects due to sampling (which can be turned off if requested).
You can try it out online in the DataStation app.
$ yarn add @multiprocess/shapeimport { shape, toString } from '@multiprocess/shape';
const schema = shape({
"results": [
{ "name": "Kevin", "score": "1" },
{ "name": "Moira", "score": 1 },
{ "name": "Alexei", "score": 2 },
{ "name": "Tia", "score": 2, "admin": true }
],
"pageSize": 5,
"total": 100,
"nextPage": "https://myapi.com/p=2",
});
console.log(JSON.stringify(schema, null, 2), toString(schema));Will print out:
{
"kind": "object",
"children": {
"results": {
"kind": "array",
"children": {
"kind": "object",
"children": {
"name": {
"kind": "scalar",
"name": "string"
},
"score": {
"kind": "varied",
"children": [
{
"kind": "scalar",
"name": "string"
},
{
"kind": "scalar",
"name": "number"
}
]
},
"admin": {
"kind": "scalar",
"name": "boolean"
}
}
}
},
"pageSize": {
"kind": "scalar",
"name": "number"
},
"total": {
"kind": "scalar",
"name": "number"
},
"nextPage": {
"kind": "scalar",
"name": "string"
},
}
} Object with
'results' of
Array of
Object with
'name' of
string,
'score' of
string or
number,
'admin' of
boolean,
'pageSize' of
number,
'total' of
number,
'nextPage' of
string
This library defaults to checking up to only 5000 elements at any
level which allows the inferrence to scale to very large datasets. It
will pick up to N elements randomly with the object to sample. To
disable this, pass null, undefined, or false as the second
argument to shape. For example shape(data, false).
However, turning off sampling will eventually wreck your stack as you
pass bigger objects to shape.
Apache-2.0, see ./LICENSE.md.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent