mongoose-schema-jsonschema-x
v1.1.3
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Mongoose extention that allows to build json schema for mongoose models, schemas and queries
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mongoose-schema-jsonschema
The module allows to create json schema from Mongoose schema by adding
jsonSchema
method to mongoose.Schema
, mongoose.Model
and mongoose.Query
classes
Contents
Installation
npm install mongoose-schema-jsonschema
Samples
Let's build json schema from simple mongoose schema
'use strict';
const mongoose = require('mongoose');
require('mongoose-schema-jsonschema')(mongoose);
const Schema = mongoose.Schema;
const BookSchema = new Schema({
title: {type: String, required: true},
year: Number,
author: {type: String, required: true}
});
let jsonSchema = BookSchema.jsonSchema();
console.dir(jsonSchema, {depth: null});
Output:
{
type: 'object',
properties: {
title: { type: 'string' },
year: { type: 'number' },
author: { type: 'string' },
_id: { type: 'string', format: 'uuid', pattern: '^[0-9a-fA-F]{24}$' }
},
required: [ 'title', 'author' ]
}
The mongoose.Model.jsonSchema method allows to build json schema considering the field selection and population
'use strict';
const mongoose = require('mongoose');
require('mongoose-schema-jsonschema')(mongoose);
const Schema = mongoose.Schema;
const BookSchema = new Schema({
title: {type: String, required: true},
year: Number,
author: {type: Schema.Types.ObjectId, required: true, ref: 'Person'}
});
const PersonSchema = new Schema({
firstName: {type: String, required: true},
lastName: {type: String, required: true},
dateOfBirth: Date
});
const Book = mongoose.model('Book', BookSchema);
const Person = mongoose.model('Person', PersonSchema)
console.dir(Book.jsonSchema('title year'), {depth: null});
console.dir(Book.jsonSchema('', 'author'), {depth: null});
Output:
{
title: 'Book',
type: 'object',
properties: {
title: { type: 'string' },
year: { type: 'number' },
_id: { type: 'string', format: 'uuid', pattern: '^[0-9a-fA-F]{24}$' }
}
}
{
title: 'Book',
type: 'object',
properties: {
title: { type: 'string' },
year: { type: 'number' },
author: {
title: 'Person',
type: 'object',
properties: {
firstName: { type: 'string' },
lastName: { type: 'string' },
dateOfBirth: { type: 'string', format: 'date-time' },
_id: { type: 'string', format: 'uuid', pattern: '^[0-9a-fA-F]{24}$' },
__v: { type: 'number' }
},
required: [ 'firstName', 'lastName' ],
'x-ref': 'Person',
description: 'Refers to Person'
},
_id: { type: 'string', format: 'uuid', pattern: '^[0-9a-fA-F]{24}$' },
__v: { type: 'number' }
},
required: [ 'title', 'author' ]
}
'use strict';
const extendMongooose = require('mongoose-schema-jsonschema');
const mongoose = extendMongooose(require('mongoose'));
const Schema = mongoose.Schema;
const BookSchema = new Schema({
title: {type: String, required: true},
year: Number,
author: {type: Schema.Types.ObjectId, required: true, ref: 'Person'}
});
const Book = mongoose.model('Book', BookSchema);
const Q = Book.find().select('title').limit(5);
console.dir(Q.jsonSchema(), {depth: null});
Output:
{
title: 'List of books',
type: 'array',
items: {
type: 'object',
properties: {
title: { type: 'string' },
_id: { type: 'string', format: 'uuid', pattern: '^[0-9a-fA-F]{24}$' }
}
},
maxItems: 5
}
Specifications
mongoose.Schema.prototype.jsonSchema
Builds the json schema based on the Mongooose schema. if schema has been already built the method returns new deep copy
Method considers the schema.options.toJSON.virtuals
to included
the virtual paths (without detailed description)
Declaration:
function schema_jsonSchema(name) { ... }
Parameters:
- name:
String
- Name of the object - Returns
Object
- json schema
mongoose.Model.jsonSchema
Builds json schema for model considering the selection and population
if fields
specified the method removes required
constraints
Declaration:
function model_jsonSchema(fields, populate) { ... }
Parameters:
- fields:
String
|Array
|Object
- mongoose selection object - populate:
String
|Object
- mongoose population options - Returns
Object
- json schema
mongoose.Query.prototype.jsonSchema
Builds json schema considering the query type and query options.
The method returns the schema for array if query type is find
and
the schema for single document if query type is findOne
or findOneAnd*
.
In case when the method returns schema for array the collection name is used to
form title of the resulting schema. In findOne*
case the title is the name
of the appropriate model.
Declaration:
function query_jsonSchema() { ... }
Parameters:
- Returns
Object
- json schema
Custom Schema Types Support
If you use custom Schema Types you should define the jsonSchema method for your type-class(es).
The base functionality is accessible from your code by calling base-class methods:
newSchemaType.prototype.jsonSchema = function() {
// Simple types (strings, numbers, bools):
var jsonSchema = mongoose.SchemaType.prototype.jsonSchema.call(this);
// Date:
var jsonSchema = Types.Date.prototype.jsonSchema.call(this);
// ObjectId
var jsonSchema = Types.ObjectId.prototype.jsonSchema.call(this);
// for Array (or DocumentArray)
var jsonSchema = Types.Array.prototype.jsonSchema.call(this);
// for Embedded documents
var jsonSchema = Types.Embedded.prototype.jsonSchema.call(this);
// for Mixed documents:
var jsonSchema = Types.Mixed.prototype.jsonSchema.call(this);
/*
*
* Place your code instead of this comment
*
*/
return jsonSchema;
}
Command line
There is a command line utility to build schema without importing mongoose-schema-jsonschema
to your project
npm i -g jsonschema-builder
Usage
Getting options:
jsonschema-builder --help
Output:
Usage: jsonschema-builder [options] <pathToModels>
Options:
-h, --help output usage information
-V, --version output the version number
-j, --json JSON format for output
-n, --noid Removes id field from resulting schema
Samples and other details can be reached by the link: jsonschema-builder