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@ciptex/openapi-typescript-codegen

v0.22.0

Published

Library that generates Typescript clients based on the OpenAPI specification.

Downloads

30

Readme

OpenAPI Typescript Codegen

NPM License

Downloads Build

Node.js library that generates Typescript clients based on the OpenAPI specification.

Why?

  • Frontend ❤️ OpenAPI, but we do not want to use JAVA codegen in our builds
  • Quick, lightweight, robust and framework-agnostic 🚀
  • Supports generation of TypeScript clients
  • Supports generations of Axios client
  • Supports OpenAPI specification v3.0
  • Supports JSON and YAML files for input
  • Supports generation through CLI, Node.js and NPX
  • Supports tsc and @babel/plugin-transform-typescript
  • Supports aborting of requests (cancelable promise pattern)
  • Supports external references using json-schema-ref-parser

Install

npm install @ciptex/openapi-typescript-codegen --save-dev

Usage

$ openapi --help

  Usage: openapi [options]

  Options:
    -V, --version             output the version number
    -i, --input <value>       OpenAPI specification, can be a path, url or string content (required)
    -o, --output <value>      Output directory (required)
    -c, --client <value>      HTTP client to generate [axios] (default: "axios")
    --useOptions              Use options instead of arguments
    --useUnionTypes           Use union types instead of enums
    --exportCore <value>      Write core files to disk (default: true)
    --exportServices <value>  Write services to disk (default: true)
    --exportModels <value>    Write models to disk (default: true)
    --exportSchemas <value>   Write schemas to disk (default: false)
    --postfix <value>         Service name postfix (default: "Service")
    --request <value>         Path to custom request file
    --name <value>            Custom client class name (default: "AppClient")
    -h, --help                display help for command

  Examples
    $ openapi --input ./spec.json
    $ openapi --input ./spec.json --output ./dist
    $ openapi --input ./spec.json --output ./dist --client axios

Example

package.json

{
    "scripts": {
        "generate": "openapi --input ./spec.json --output ./dist"
    }
}

NPX

npx openapi-typescript-codegen --input ./spec.json --output ./dist

Node.js API

const OpenAPI = require('openapi-typescript-codegen');

OpenAPI.generate({
    input: './spec.json',
    output: './dist'
});

// Or by providing the content of the spec directly 🚀
OpenAPI.generate({
    input: require('./spec.json'),
    output: './dist'
});

Features

Argument style vs. Object style --useOptions

There's no named parameter in JavaScript or TypeScript, because of that, we offer the flag --useOptions to generate code in two different styles.

Argument-style:

function createUser(name: string, password: string, type?: string, address?: string) {
    // ...
}

// Usage
createUser('Jack', '123456', undefined, 'NY US');

Object-style:

function createUser({ name, password, type, address }: {
    name: string,
    password: string,
    type?: string
    address?: string
}) {
    // ...
}

// Usage
createUser({
    name: 'Jack',
    password: '123456',
    address: 'NY US'
});

Enums vs. Union Types --useUnionTypes

The OpenAPI spec allows you to define enums inside the data model. By default, we convert these enums definitions to TypeScript enums. However, these enums are merged inside the namespace of the model, this is unsupported by Babel, see docs. Because we also want to support projects that use Babel @babel/plugin-transform-typescript, we offer the flag --useUnionTypes to generate union types instead of the traditional enums. The difference can be seen below:

Enums:

// Model
export interface Order {
    id?: number;
    quantity?: number;
    status?: Order.status;
}

export namespace Order {
    export enum status {
        PLACED = 'placed',
        APPROVED = 'approved',
        DELIVERED = 'delivered',
    }
}

// Usage
const order: Order = {
    id: 1,
    quantity: 40,
    status: Order.status.PLACED
}

Union Types:

// Model
export interface Order {
    id?: number;
    quantity?: number;
    status?: 'placed' | 'approved' | 'delivered';
}

// Usage
const order: Order = {
    id: 1,
    quantity: 40,
    status: 'placed'
}

Runtime schemas --exportSchemas

By default, the OpenAPI generator only exports interfaces for your models. These interfaces will help you during development, but will not be available in JavaScript during runtime. However, Swagger allows you to define properties that can be useful during runtime, for instance: maxLength of a string or a pattern to match, etc. Let's say we have the following model:

{
    "MyModel": {
        "required": [
            "key",
            "name"
        ],
        "type": "object",
        "properties": {
            "key": {
                "maxLength": 64,
                "pattern": "^[a-zA-Z0-9_]*$",
                "type": "string"
            },
            "name": {
                "maxLength": 255,
                "type": "string"
            },
            "enabled": {
                "type": "boolean",
                "readOnly": true
            },
            "modified": {
                "type": "string",
                "format": "date-time",
                "readOnly": true
            }
        }
    }
}

This will generate the following interface:

export interface MyModel {
    key: string;
    name: string;
    readonly enabled?: boolean;
    readonly modified?: string;
}

The interface does not contain any properties like maxLength or pattern. However, they could be useful if we wanted to create some form where a user could create such a model. In that form you would iterate over the properties to render form fields based on their type and validate the input based on the maxLength or pattern property. This requires us to have this information somewhere... For this we can use the flag --exportSchemas to generate a runtime model next to the normal interface:

export const $MyModel = {
    properties: {
        key: {
            type: 'string',
            isRequired: true,
            maxLength: 64,
            pattern: '^[a-zA-Z0-9_]*$',
        },
        name: {
            type: 'string',
            isRequired: true,
            maxLength: 255,
        },
        enabled: {
            type: 'boolean',
            isReadOnly: true,
        },
        modified: {
            type: 'string',
            isReadOnly: true,
            format: 'date-time',
        },
    },
} as const;

These runtime object are prefixed with a $ character and expose all the interesting attributes of a model and its properties. We can now use this object to generate the form:

import { $MyModel } from './generated';

// Some pseudo code to iterate over the properties and return a form field
// the form field could be some abstract component that renders the correct
// field type and validation rules based on the given input.
const formFields = Object.entries($MyModel.properties).map(([key, value]) => (
    <FormField
        name={key}
        type={value.type}
        format={value.format}
        maxLength={value.maxLength}
        pattern={value.pattern}
        isReadOnly={value.isReadOnly}
    />
));

const MyForm = () => (
    <form>
        {formFields}
    </form>
);

Enum with custom names and descriptions

You can use x-enum-varnames and x-enum-descriptions in your spec to generate enum with custom names and descriptions. It's not in official spec yet. But it's a supported extension that can help developers use more meaningful enumerators.

{
    "EnumWithStrings": {
        "description": "This is a simple enum with strings",
        "enum": [
            0,
            1,
            2
        ],
        "x-enum-varnames": [
            "Success",
            "Warning",
            "Error"
        ],
        "x-enum-descriptions": [
            "Used when the status of something is successful",
            "Used when the status of something has a warning",
            "Used when the status of something has an error"
        ]
    }
}

Generated code:

enum EnumWithStrings {
    /*
    * Used when the status of something is successful
    */
    Success = 0,
    /*
    * Used when the status of something has a warning
    */
    Waring = 1,
    /*
    * Used when the status of something has an error
    */
    Error = 2,
}

Generated code:

interface ModelWithNullableString {
    prop?: string | null,
    requiredProp: string | null,
}

Generate client instance

The OpenAPI generator allows to create client instances to support the multiple backend services use case. The generated client uses an instance of the server configuration.

To set a custom name to the client class, use --name option.

openapi --input ./spec.json --output ./dist --name DemoAppClient

The generated client will be exported from the index file and can be used as shown below:

// create the client instance with server and authentication details
const appClient = new DemoAppClient({ token: '1234' });

// use the client instance to make the API call
const res: OrganizationResponse = await appClient.organizations.createOrganization({
  name: 'OrgName',
  description: 'OrgDescription',
});
// NODE.JS Only. You can provide AccountSid and AuthToken instead.
const appClient = new DemoAppClient({ accountSid: 'ACXXX', authToken: "1234" });

References

Local references to schema definitions (those beginning with #/definitions/schemas/) will be converted to type references to the equivalent, generated top-level type.

The OpenAPI generator also supports external references, which allows you to break down your openapi.yml into multiple sub-files, or incorporate third-party schemas as part of your types to ensure everything is able to be TypeScript generated.

External references may be:

  • relative references - references to other files at the same location e.g. { $ref: 'schemas/customer.yml' }

  • remote references - fully qualified references to another remote location e.g. { $ref: 'https://myexampledomain.com/schemas/customer_schema.yml' }

    For remote references, both files (when the file is on the current filesystem) and http(s) URLs are supported.

External references may also contain internal paths in the external schema (e.g. schemas/collection.yml#/definitions/schemas/Customer) and back-references to the base openapi file or between files (so that you can reference another schema in the main file as a type of an object or array property, for example).

At start-up, an OpenAPI or Swagger file with external references will be "bundled", so that all external references and back-references will be resolved (but local references preserved).

FAQ

Babel support

If you use enums inside your models / definitions then those enums are by default inside a namespace with the same name as your model. This is called declaration merging. However, the @babel/plugin-transform-typescript does not support these namespaces, so if you are using babel in your project please use the --useUnionTypes flag to generate union types instead of traditional enums. More info can be found here: Enums vs. Union Types.

Note: If you are using Babel 7 and Typescript 3.8 (or higher) then you should enable the onlyRemoveTypeImports to ignore any 'type only' imports, see https://babeljs.io/docs/en/babel-preset-typescript#onlyremovetypeimports for more info

module.exports = {
    presets: [
        ['@babel/preset-typescript', {
            onlyRemoveTypeImports: true,
        }],
    ],
};

Axios support

This tool allows you to generate a client based on the axios client. The advantage of the Axios client is that it works in both NodeJS and Browser based environments. If you want to generate the Axios based client then you can specify --client axios in the openapi call:

openapi --input ./spec.json --output ./dist --client axios

The only downside is that this client needs some additional dependencies to work (due to the missing Blob and FormData classes in NodeJS).

npm install axios --save-dev
npm install [email protected] --save-dev

In order to compile the project and resolve the imports, you will need to enable the allowSyntheticDefaultImports in your tsconfig.json file.