Socket
Socket
Sign inDemoInstall

generate-schema

Package Overview
Dependencies
2
Maintainers
1
Versions
15
Alerts
File Explorer

Advanced tools

Install Socket

Detect and block malicious and high-risk dependencies

Install

    generate-schema

Effortlessly convert your JSON Object to JSON Schema, Mongoose Schema, or a Generic template for quick documentation / upstart.


Version published
Weekly downloads
58K
increased by2.97%
Maintainers
1
Install size
129 kB
Created
Weekly downloads
 

Readme

Source

Generate Schemas

Convert JSON Objects to MySQL Table Schema, JSON Schema, Mongoose Schema, ClickHouse Schema, Google BigQuery, or a Generic template for documentation, code generation, and more.

Build Status version License Downloads

Table of Contents

Installation

Install with npm:

$ npm i --save generate-schema

Optionally, add -g to the above if you want the generate-schema command line executable.

CLI

  Usage: generate-schema [options ...] [file]

  Common Options:

    -h, --help         output usage information
    -V, --version      output the version number
    -q, --quiet        Skip help message in program output

  Mode Options:
    -g, --generic      Generic JSON Primitives schema output
    -j, --json-schema  JSON Schema output
    -s, --mysql        MySQL Table Schema output
    -m, --mongoose     Mongoose Schema output
    -b, --big-query    Google BigQuery Schema output
    -c, --clickhouse   Clickhouse Table Schema output

REPL Mode

When no file is specified, generate-schema enters a REPL mode.

Example

$ generate-schema -b
generate-schema v2.5.1 (bigquery)
Type "exit" to quit.
Type {a:"b"} to see an example.
> {a:"b"}
[
  {
    "name": "a",
    "type": "STRING",
    "mode": "NULLABLE"
  }
]

Usage

var GenerateSchema = require('generate-schema')

Example

// Capture Schema Output
var schema = GenerateSchema.json('Product', [
    {
        "id": 2,
        "name": "An ice sculpture",
        "price": 12.50,
        "tags": ["cold", "ice"],
        "dimensions": {
            "length": 7.0,
            "width": 12.0,
            "height": 9.5
        },
        "warehouseLocation": {
            "latitude": -78.75,
            "longitude": 20.4
        }
    },
    {
        "id": 3,
        "name": "A blue mouse",
        "price": 25.50,
        "dimensions": {
            "length": 3.1,
            "width": 1.0,
            "height": 1.0
        },
        "warehouseLocation": {
            "latitude": 54.4,
            "longitude": -32.7
        }
    }
])

Outputs:

{
  "$schema": "http://json-schema.org/draft-04/schema#",
  "title": "Product Set",
  "type": "array",
  "items": {
    "type": "object",
    "properties": {
      "id": {
        "type": "number"
      },
      "name": {
        "type": "string"
      },
      "price": {
        "type": "number"
      },
      "tags": {
        "type": "array",
        "items": {
          "type": "string"
        }
      },
      "dimensions": {
        "type": "object",
        "properties": {
          "length": {
            "type": "number"
          },
          "width": {
            "type": "number"
          },
          "height": {
            "type": "number"
          }
        }
      },
      "warehouseLocation": {
        "type": "object",
        "properties": {
          "latitude": {
            "type": "number"
          },
          "longitude": {
            "type": "number"
          }
        }
      }
    },
    "required": [
      "id",
      "name",
      "price",
      "dimensions",
      "warehouseLocation"
    ],
    "title": "Product"
  }
}

Methods

g.generic(Object object)

Generates a generic schema from object. Property types are described using primitives.

g.mysql([String tableName,] Mixed object)

Generates MySQL Table Schema from object.

  • tableName is optional, defaults to generic
  • object must be of type Object or Array
g.json([String title,] Mixed object)

Generates JSON Schema from object.

  • title is optional
  • object must be of type Object or Array
g.mongoose(Object object)

Generates a Mongoose Schema from object.

g.bigquery(Object object)

Generates a Google BigQuery schema from object.

g.clickhouse([String tableName,] Mixed object, String dateField)

Generates ClickHouse Table Schema from object.

  • tableName is optional, defaults to generic
  • object must be of type Object or Array
  • dateField Date field for ENGINE, must be of type Date

License

MIT

Keywords

FAQs

Last updated on 20 Nov 2017

Did you know?

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts

SocketSocket SOC 2 Logo

Product

  • Package Alerts
  • Integrations
  • Docs
  • Pricing
  • FAQ
  • Roadmap

Stay in touch

Get open source security insights delivered straight into your inbox.


  • Terms
  • Privacy
  • Security

Made with ⚡️ by Socket Inc