to-json-schema
Converts javascript objects (and other types) to corresponding JSON schema
Install
npm install to-json-schema
Example usage
const toJsonSchema = require('to-json-schema');
const objToBeConverted = {
name: 'David',
rank: 7,
born: '1990-04-05T15:09:56.704Z',
luckyNumbers: [7, 77, 5]
};
const schema = toJsonSchema(objToBeConverted);
schema
generated from above code will look like this:
{
"type": "object",
"properties": {
"name": {
"type": "string"
},
"rank": {
"type": "integer"
},
"born": {
"type": "string",
"format": "date-time"
},
"luckyNumbers": {
"type": "array",
"items": {
"type": "integer"
}
}
}
}
toJsonSchema(value, options)
to-json-schema
exports function that converts most javascript values to JSON schema. Such a schema can be used to
further validation of similar objects/values
value
: required Any javascript valueoptions
: optional options object
Options
Common options
Possible option values
required
(true|false
default is false
)
specify true
to make all properties required.
const schema = toJsonSchema(33, {required: false});
/*
{
"type": "integer"
}
*/
const schema = toJsonSchema(33, {required: true});
/*
{
"type": "integer",
"required": true
}
*/
postProcessFnc (function
)
parameters:
- type (string) - JSON schema type of the
value
- schema (object) - Generated JSON schema
- value - (any) - input value
- defaultFunc (function) - standard function that is used to post-process generated schema. Takes the
type
,schema
,value
params.
By providing postProcessFnc
, you can modify or replace generated schema. This function
will be called recursively for all the properties and sub-properties and array items from leaves to the root.
If you want to preserve default functionality, don't forget to call defaultFunc which is currently responsible for setting
required
for the schema items if there is common option required
set tu true.
Following example is showing configuration options leading to all integer values to be automatically required
const options = {
postProcessFnc: (type, schema, value, defaultFunc) =>
(type === 'integer') ? {...schema, required: true} : defaultFunc(type, schema, value),
}
const instance = {
a: 1,
b: 'str',
}
const schema = toJsonSchema(instance, options);
/*
{
type: 'object',
properties: {
a: {type: 'integer', required: true},
b: {type: 'string'},
},
}*/
Arrays options
arrays.mode (all|first|uniform|tuple
default is all
)
all
option causes parser to go through all array items, finding the most compatible yet most descriptive schema possible.
Array items are all of compatible type:
const arr = [33, 44, 55];
const schema = toJsonSchema(arr, {arrays: {mode: 'all'}});
/*
{
"type": "array",
"items": {
"type": "integer"
}
}
*/
Items' types are incompatible. Type is omitted in schema to be able to validate input object:
const arr = [33, 'str', 55];
const schema = toJsonSchema(arr, {arrays: {mode: 'all'}});
/*
{
"type": "array"
}
*/
Incompatible in sub-item. Schema still describes object properties
const arr = [
{name: 'john', grades: [1, 2, 3]},
{name: 'david', grades: ['a', 'b', 'c']}
];
const schema = toJsonSchema(arr, {arrays: {mode: 'all'}});
/*
{
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"grades": {
"type": "array" // due to incompatible array items' types, `items` field is omitted
}
}
}
}
*/
first
option takes only first item in the array into account. If performance
is a concern, you may consider this option.
const arr = ['str', 11, 30];
const schema = toJsonSchema(arr, {arrays: {mode: 'first'}});
/* Other than first array item is ignored
{
"type": "array",
"items": {
"type": "string"
}
}
*/
uniform
option requires all items in array to have same structure (to convert to the same schema).
If not, error is thrown.
const arr = ['str', 11, 30];
const schema = toJsonSchema(arr, {arrays: {mode: 'uniform'}});
/*
Above code will throw 'Error: Invalid schema, incompatible array items'
*/
tuple
option generates a tuple array
(array of objects) from arrays.
const arr = ['str', 11, 30];
const schema = toJsonSchema(arr, {arrays: {mode: 'tuple'}});
/*
{
"type": "array",
"items": [
{
"type": "string"
},
{
"type": "integer"
},
{
"type": "integer"
}
]
}
*/
Objects options
objects.additionalProperties (boolean
, default true
)
if set to false
, all object schemas will include JSON schema property additionalProperties: false
which makes generated schema
to perevent any extra properties.
const options = {
objects: {additionalProperties: false},
}
const obj = {
a: {
c: 1,
d: 1,
},
b: 'str',
}
const schema = toJsonSchema(obj, options);
/*
{
type: 'object',
properties: {
a: {
type: 'object',
properties: {
c: {type: 'integer'},
d: {type: 'integer'},
},
additionalProperties: false,
},
b: {type: 'string'},
},
additionalProperties: false,
}
*/
objects.preProcessFnc (function
)
parameters:
- obj - (object) - input object value that is supposed to be converted into JSON schema
- defaultFunc (function) - standard function that is used to generate schema from object. Takes just the
obj
param.
By providing custom function you will be able to modify any object value (including nested ones) and pre-process it before it gets converted into schema or modify generated schema or do the schema conversion entirely by yourself.
Custom function from example bellow ignores all properties other than a
and b
from input object:
const options = {
objects: {
preProcessFnc: (obj, defaultFnc) => defaultFnc({a: obj.a, b: obj.b})
}
};
const obj = {a: 1, b: 2, c: 3};
const schema = toJsonSchema(obj, options);
/*
{
"type": "object",
"properties": {
"a": {
"type": "integer"
},
"b": {
"type": "integer",
}
}
}
*/
objects.postProcessFnc (function
)
parameters:
- schema (object) - Generated JSON schema
- obj - (object) - input value
- defaultFunc (function) - standard function that is used to post-process generated schema. Takes the
schema
,obj
params.
By providing postProcessFnc
, you can modify or replace generated schema. This function
will be called recursively for all the properties and sub-properties and array items from leaves to the root of the obj
object.
Custom objects.postProcessFnc makes properties required on parent type level:
const options = {
objects: {
postProcessFnc: (schema, obj, defaultFnc) => ({...defaultFnc(schema, obj), required: Object.getOwnPropertyNames(obj)})
}
};
const obj = {a: 1, b: 'str'};
const schema = toJsonSchema(obj, options);
/*
{
type: 'object',
properties: {
a: {type: 'integer'},
b: {type: 'string'},
}
required: ['a', 'b']
}
*/
strings options
strings.preProcessFnc (function
)
By providing custom function you will be able to modify any string value (including nested ones) and pre-process it before it gets converted to schema, modify generated schema or do the schema conversion entirely by yourself.
Provided function will receive two parameters:
string
to be converted into JSON schema- default
function
that normally generates the schema. This function receives onlystring
to be converted to JSON schema
Custom function from example bellow converts any string of object containing string to JSON schema and if string's content is 'date' than sets the format property to 'date':
const options = {
strings: {
preProcessFnc: (value, defaultFnc) => {
const schema = defaultFnc(value);
if (value === 'date') {
schema.format = 'date';
}
return schema;
},
},
}
const schema = toJsonSchema('date', options);
/*
{
"type": "string",
"format": "date"
}
*/
strings.detectFormat (true|false
default id true
)
When set to true format of the strings values may be detected based on it's content.
These JSON schema string formats can be detected:
- date-time
- date
- time
- utc-millisec
- color
- style
- phone
- uri
- ip-address
- ipv6
const obj = {
a: '2012-07-08T16:41:41.532Z',
b: '+31 42 123 4567',
c: 'http://www.google.com/',
d: '[email protected]'
};
const schema = toJsonSchema(obj, {strings: {detectFormat: true}});
/*
{
"type": "object",
"properties": {
"a": {
"type": "string",
"format": "date-time"
},
"b": {
"type": "string",
"format": "phone"
},
"c": {
"type": "string",
"format": "uri"
},
"d": {
"type": "string",
"format": "email"
}
}
}
*/