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@walmartlabs/json-to-simple-graphql-schema

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@walmartlabs/json-to-simple-graphql-schema

Converts a JSON object into a GraphQL schema

    3.0.1latest

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Maintainers
10
Yearly downloads
40,171
increased by33.7%

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json-to-simple-graphql-schema

Transforms JSON input into a GraphQL schema. Try it here

Why would I use this?

Let's say you want to use an existing REST API in a GraphQL service and expose the data that API provides. You'll need to expose that data in a GraphQL schema. Without this tool, you'll have to slog through the JSON response and manually extract and convert the relevant types to GraphQL schema types. This tool attempts to provide an automated reasonable first-pass at that effort.

Installation:

For use as a command-line app use npx :) If you'd really like to install, you can do:

npm i -g @walmartlabs/json-to-simple-graphql-schema

For use in a project:

npm i @walmartlabs/json-to-simple-graphql-schema

Command Line Usage:

Pipe in some JSON. Here's a cURL JSON response piped in to this app:

curl "https://data.cityofnewyork.us/api/views/kku6-nxdu/rows.json?accessType=DOWNLOAD" \ | npx @walmartlabs/json-to-simple-graphql-schema

You'll still need to rename the resulting main Type in the schema, unless you like AutogeneratedMainType :)

Or pipe in some JSON from a JSON file.

curl https://data.cityofnewyork.us/api/views/kku6-nxdu/rows.json?accessType=DOWNLOAD > input.json cat input.json | npx json-to-simple-graphql-schema > output.graphql

Optional parameters:

  • baseType = "AutogeneratedMainType"
  • prefix = ""
curl https://data.cityofnewyork.us/api/views/kku6-nxdu/rows.json?accessType=DOWNLOAD > input.json cat input.json | npx json-to-simple-graphql-schema --baseType BaseType --prefix Prefix > output.graphql

Usage in front-end JS:

import { jsonToSchema } from "@walmartlabs/json-to-simple-graphql-schema/lib"; const schema = jsonToSchema({ jsonInput: '{"name": "Test"}' }); console.log(schema.value);

If you need more guidance, have a look at the source for our simple web-ui.

Example output:

Given this JSON:

{ "id": "some-id-0", "name": "A fun object", "subType": { "id": "some-id-1", "name": "A fun sub-type" } }

This app will send this to stdout:

type SubType { id: String name: String, } type AutogeneratedMainType { id: String name: String subType: SubType }

Fun features: duplicate removal

Consider this JSON with 2 color types:

{ "id": "some-id-0", "name": "A fun object", "color": { "id": "color-id-1", "name": "Test color" }, "subType": { "id": "some-id-1", "name": "A fun sub-type", "color": { "id": "color-id-1", "name": "Test color", "hex": "#ff0000" } } }

When piped to this app, the following schema is produced:

type Color { id: String name: String hex: String, } type SubType { id: String name: String color: Color, } type AutogeneratedMainType { id: String name: String subType: SubType color: Color }

It kept the Color type with more fields.

Fun features: calls out possible duplicates

Consider this JSON with two types containing identical fields:

{ "id": "some-id-0", "name": "A fun object", "color": { "id": "color-id-1", "name": "Test color" }, "favoriteColor": { "id": "color-id-1", "name": "Test color" } }

When piped to this app, the following schema is produced:

type FavoriteColor { id: String name: String } type Color { id: String name: String } type AutogeneratedMainType { id: String name: String favoriteColor: FavoriteColor color: Color } # Types with identical fields: # FavoriteColor Color

It called out the two types with identical fields.

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