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oas-tszod-gen

v0.0.3

Published

A code generator to convert OpenApi version 3 (OAS3) specifications into endpoint caller functions for TS and Zod.

Downloads

230

Readme

continuous integration pipeline test coverage

oas-tszod-gen

A code generator to convert OpenApi version 3 (OAS3) specifications into endpoint caller functions for TS and Zod.

Demo Video
The code of the demo video is available here.

Why yet another library for this task?

Before you consider using this library, I suggest having a look at the combination of Zodios and openapi-zod-client or OpenApi Typescript (if you are OK with just Typescript). This code generator serves as a combined alternative for these three libraries. However, I coded my own solution because I wanted to:

  • have full ownership of my production code without any additional dependency
  • have generated endpoint caller functions representing the reality which is given from some OAS3 specs
  • be able to easily test these endpoint caller functions with exchangeable RequestHandler implementations
  • have a uniform adapter API which passes an endpoint schema inside the request adapter object
  • have separated functions and type definitions for each endpoint in a single file, located in its context folder
  • be able to go with other implementations under the hood than Axios
  • have the opt-in possibility for generated Zod schemas with included runtime validation of requests and responses
  • have a uniform way as an alternative to Axios' interceptors through different RequestHandler implementations

:bulb: Axios is great. It offers a lot, and it works with XMLHttpRequest under the hood by default. But one might have PWAs and service workers in mind where XMLHttpRequest is out of scope. There are lots of articles out there which discuss things like Axios Vs Fetch. Even though, since version 1.7.0 Axios does natively support a fetch adapter.

Generator: Setup and usage

First, install the package as a dev dependency:

npm install oas-tszod-gen --save-dev

If you also want to use Zod (see withZod: true configuration below) and it is not yet installed as a dependency of your project:

npm install zod --save

Now create a new file api.specs.json in the root folder of your project and paste your OAS3 specification into it. The next step is to create a file api.generate.js - also in the root folder of your project - and paste the following code into it:

// api.generate.js

const {generateOas3ToTs} = require('oas-tszod-gen');
const oas3Specification = require('./api.specs.json');

generateOas3ToTs({
  // required:
  getSpecification: () => {
    return new Promise(resolve => {
      resolve(oas3Specification);
    });
  },
  
  // required:
  outputFolderPath: './generated-api',

  // optional:
  // The list of separators which should be considered for the outputPath creation from a
  // component name. The outputPath itself is an array of strings (see explanation in one
  // of the sections below). By default, the following configuration is taken:
  // ['.', '/', '\\']
  componentOutputPathSeparators: ['.', '/', '\\', '_'],
  
  // optional:
  // Same as "componentOutputPathSeparators" but in the context of defined "operationId" properties
  // of an endpoint
  operationIdOutputPathSeparators: ['.', '/', '\\', '_'],
  
  // optional:
  // The folder structure is generated from resulting outputPaths of the given operationIds.
  // If some additional sub folders are required the configuration can be done as follow:
  predefinedFolderOutputPaths: [
    // For outputs having an `OutputPath` starting with ['core']:
    // Variables and type definitions are put in the `{outputFolderPath}/core` folder
    ['core'],
    
    // For outputs having an `OutputPath` starting with ['util', 'foo']:
    // Variables and type definitions are put in the `{outputFolderPath}/util/foo` folder
    ['util', 'foo'],
  ],
  
  // required:
  logger: {
    log: (content) => {
      console.log(content);
    },
  },
  
  // optional:
  // By default or in case of `false`, only TypeScript types are generated without Zod schemas
  withZod: true,
  
  // optional:
  // The following will add only the defined templates.
  // An empty array results in no added templates.
  // By default, all available templates will be added to your codebase.
  templates: [
    'AxiosRequestHandler',
    'AuthRequestHandler',
    'ResponseExtractors',
    'ZodValidationRequestHandler'
  ],

  // optional: Modify output paths which result from an operation
  createOperationOutputPath: (_path, _method, _endpointSchema, defaultOutputPath) => {
    return defaultOutputPath[0] === 'v1' ? defaultOutputPath.slice(1) : defaultOutputPath;
  },
  
  // optional: Whether a specific operation (endpoint respectively) should be added
  shouldAddOperation: (_path, _method, _endpointSchema) => {
    return true; // adjust according to your needs
  },
  
  // optional: Whether a specific content type request body should be added
  shouldAddRequestBodyContent: (contentType, bodyByContentTypeMap) => {
    const lowerCaseContentType = contentType.toLowerCase();
    if (lowerCaseContentType.match(/application\/[^+]*[+]?(json);?.*/)) {
      return true;
    }
    const hasJsonAlternative = Object.keys(bodyByContentTypeMap).find(ct =>
      ct.toLowerCase().match(/application\/[^+]*[+]?(json);?.*/)
    );
    if (hasJsonAlternative) {
      return false;
    }
    return !!lowerCaseContentType.match(/multipart\/form-data;?.*/);
  },
  
  // optional: Whether a specific content type response body should be added
  shouldAddResponseBodyContent: (contentType, _bodyByContentTypeMap) => {
    return ['multipart/form-data', 'application/json'].includes(contentType);
  },
});

Finally run the script to generate the output files into the ./generated-api folder:

node api.generate.js

Important: It is recommended to regenerate the output in your CI pipeline. On every call of the generateOas3ToTs function, the output folder is going to be deleted and the code will be generated from scratch.

:bulb: Node version >= 18.0.0 is required to support the Blob class if you want to use the generated code on the backend side.

What is an OutputPath?

Variables, functions and type definitions which are generated by this generator come in form of an output. A output is an object which has a path property in it. This property is of type OutputPath (= string[]). The first few entries of the OutputPath array do represent the filepath in which the variables and type definitions are going to be put in. The remaining entries of this array are used for the type or the variable name.

Let's consider some example endpoints which might be defined in your OAS3 specification under the paths property:

  1. The generated code for the endpoint with the operationId auth.authenticate will be put into ./auth/authenticate.ts
  2. The generated code for the endpoint with the operationId userManagement.getUsers will be put into ./user-management/getUsers.ts
  3. The generated code for the endpoint with the operationId userManagement.admin.getUsers will be put into ./user-management/admin/getUsers.ts

The same principles that apply to dots . do also apply to slashes / and backslashes \ by default. This can be configured with the configuration prop operationIdOutputPathSeparators for operationIds and with componentOutputPathSeparators for component names (see above).

After generating endpoint caller functions from an OAS3 specification into your codebase, it's time to understand how the generated code can be used. The following sections should bring some clarity.

Usage of the generated code by example

The following example code parts do illustrate a login process. In order to process this, a request is triggered by calling the generated authenticate endpoint caller function. After receiving the RequestResult followed by the check of the according response status 200, TypeScript recognizes the according types of the received response.

The following code shows how to create a RequestHandler instance, which ideally is provided as a service in your app. Different RequestHandler implementations are composed together. These implementations came according due to the templates configuration of the code generator.

// requestHandler.ts

import {
  AuthRequestHandler,
  AuthRequestHandlerExecutionConfig,
  AxiosRequestHandler,
  AxiosRequestHandlerExecutionConfig,
  BearerAuthProvider,
  ZodValidationRequestHandler,
  ZodValidationRequestHandlerExecutionConfig,
} from './generated-api/core';
import {authenticate} from './generated-api/auth';
import axios from 'axios';
import {parse} from 'qs';
import {BearerAuthProvider} from "./authRequestHandler";

declare global {
  interface RequestHandlerExecutionConfig
    extends AxiosRequestHandlerExecutionConfig,
      AuthRequestHandlerExecutionConfig,
      ZodValidationRequestHandlerExecutionConfig {
  }
}

class MyJwtAuthProvider implements BearerAuthProvider {
  public readonly type: 'bearer';

  // This is the name of one of your security definition in your OAS3 specification
  public readonly securitySchemeName: 'myJwtAuth';

  private readonly accessToken: null | string;

  setToken(accessToken: string | null) {
    this.accessToken = accessToken;
  }

  findToken(): null | string {
    return this.accessToken;
  }
}

export const myJwtAuthProvider = new MyJwtAuthProvider();

const myAxiosInstance = axios.create({
  baseURL: 'https://api.acme.com',

  // In case of browsers:
  // Allow cookies to be passed along with the request for a different api (sub-)domain (CORS)
  // Source: https://developer.mozilla.org/en-US/docs/Web/API/XMLHttpRequest/withCredentials
  withCredentials: true,
});

const axiosRequestHandler = new AxiosRequestHandler({
  axios: myAxiosInstance,
  urlDecodeQueryString: (queryString: string) => {
    return parse(queryString);
  },
});

const zodRequestHandler = new ZodValidationRequestHandler(axiosRequestHandler);

export const requestHandler = new AuthRequestHandler(
  // In case of multiple authentication providers, the order does not matter.
  // Multiple authentication providers are prioritized by the sorting of the names which
  // are listed in the "request.endpointSchema.supportedSecuritySchemas" array.
  // This array has the same order as the security schemes in the OAS3 specs of that operation,
  // or endpoint respectively. The first found token received from the "findToken" method of a
  // supported authentication provider is then added to the request headers.
  [myJwtAuthProvider],

  zodRequestHandler
);

Below are three different variants to show how an endpoint call can look like when using a generated endpoint caller functions.

The first function does directly reveal the response body. This is done by the provided extractor function getRevealedResponseOrReject. With this extractor function an error is thrown in case the actual received response does not correspond to the expected one. This happens by checking the status and the content type of the response.

// login1.ts

import { requestHandler, myJwtAuthProvider } from './requestHandler';
import { getRevealedResponseOrReject } from './generated-api/core';
import { authenticate } from './generated-api/auth';

async function loginOrThrowError() {
  const res = await getRevealedResponseOrReject(200, 'application/json', authenticate(
    requestHandler,
    {
      contentType: 'application/json',
      body: {
        usernameOrEmail: 'inkognitro',
        password: '12345678'
      },
    },
    optionalConfig
  ));
  myJwtAuthProvider.setToken(res.body.accessToken);
}

This can be useful when using @tanstack/query.

With the second variant one can achieve the same as in the first example without throwing an error in case of another response than expected. This can be achieved by the findRevealedResponse like so:

// login2.ts

import { requestHandler, myJwtAuthProvider } from './requestHandler';
import { findRevealedResponse } from './generated-api/core';
import { authenticate } from './generated-api/auth';

async function loginOrDoNothing() {
  const res = await findRevealedResponse(200, 'application/json', authenticate(
    requestHandler,
    {
      contentType: 'application/json',
      body: {
        usernameOrEmail: 'inkognitro',
        password: '12345678'
      },
    },
    optionalConfig
  ));
  if (!res) {
    console.log('response is ignored...');
    return;
  }
  myJwtAuthProvider.setToken(res.body.accessToken);
}

Last but not least, the third variant. This variant serves as an overview of what is going on under the hood in those extractor functions from above.

// login3.ts

import { requestHandler, myJwtAuthProvider } from './requestHandler';
import { authenticate } from './generated-api/auth';

async function loginWithExplicitResponseBodyRevealation() {
  const requestResult = await authenticate(
    requestHandler,
    {
      contentType: 'application/json',
      body: {
        usernameOrEmail: 'inkognitro',
        password: '12345678'
      },
    },
  );

  if (!requestResult.response || requestResult.response.status !== 200) {
    console.error('Something went wrong...');
    return;
  }

  // The following check is only required if the response body of the response
  // with the status code 200 can have ambiguous content types according to the
  // given OAS3 specs.
  if (requestResult.response.contentType !== 'application/json') {
    console.error('unsupported response body:', requestResult.response.body);
    return;
  }

  const body = await requestResult.response.revealBody();
  myJwtAuthProvider.setToken(body.accessToken);
}

There exist another two extractor functions getResponseOrReject and findResponse. These two functions do return a response with a body which was not yet revealed. Anyway, this is for convenience, so we don't have to write that much code.

:bulb: The response.contentType property does not always match the exact value of the actual response.headers['content-type'] which was received from the server. The response.contentType property's reason to exist is to make sure that we are able to distinguish between different response types which were defined by the OAS3 specs. The OAS3 content type that has the most characters matching the actual content-type header is adopted during runtime.

RequestHandler implementations

The decision of having a RequestHandler interface with granular implementations was made with different environments in mind: server vs client | prod vs test | custom "middleware" behaviour. You can write your own implementations or just combine some of the existing ones below, according to your needs. The RequestHandler interface for custom implementations can be found here.

AxiosRequestHandler

This implementation is responsible for executing your requests through the http(s) protocol. It is usually the most inner implementation of an onion bootstrapped request handler object. It requires the installation of the Axios library in your code base. For the recommended Axios version have a look at the peerDependencies in the package.json of this project. Creating an AxiosRequestHandler instance comes with the following steps:

npm install axios --save

To support application/x-www-form-urlencoded response bodies, this request handler implementation requires a custom decoding function to decode url encoded data. The qs library currently is the most commonly used library for such tasks and therefore recommended:

npm install qs --save

npm install @types/qs --save-dev

And finally:

const requestHandler = new AxiosRequestHandler({
  axios: axios.create({
    baseURL: `http://localhost:3000`,
  }),
  urlDecodeQueryString: (queryString: string) => {
    return parse(queryString);
  },
});

:bulb: The AxiosRequestHandler forces Axios to always receive response bodies in form of an ArrayBuffer. This is achieved through setting responseType: 'arraybuffer' inside the AxiosRequestConfig. A preconfigured responseType property is therefore always overwritten by the request handler. The same applies to cancelToken.

FetchApiRequestHandler

This implementation is responsible for executing your requests through the http(s) protocol. It is usually the most inner implementation of an onion bootstrapped request handler object and uses the built-in Fetch API.

To support application/x-www-form-urlencoded request and response bodies, this request handler implementation requires custom decoding and encoding functions to convert data from and to query string format. The qs library currently is the most commonly used library for such tasks and therefore recommended:

npm install qs --save

npm install @types/qs --save-dev

Create a FetchApiRequestHandler instance as written below:

import { FetchApiRequestHandler } from './generated-api/core';
import { stringify } from 'qs';

const fetchApiRequestHandler = new FetchApiRequestHandler({
  // These two functions are required
  urlEncodeQueryString: plainObject => stringify(queryParams),
  urlDecodeQueryString: (queryString: string) => {
    return parse(queryString);
  },

  // Following is optional stuff
  baseUrl: 'http://localhost:8000',
  generalRequestInit: {
    credentials: 'include', // Send credential headers
    mode: 'cors', // Enable CORS
  },
});

AuthRequestHandler

This implementation can be taken to add authentication information to requests automatically. This is done as defined in the OAS Authentication specs, according to the given AuthProvider(s). As of the time of writing this, basic, bearer and apiKey authentication is supported.

ScopedRequestHandler

With this implementation you are able to make sure that the methods cancelRequestById and cancelAllRequests do only cancel the requests which were made through the execute method of exactly that ScopedRequestHandler instance. This might be useful when you want to provide a separate ScopedRequestHandler instance for React components. Anyway, React stuff is out-of-scope of this package.

ZodValidationRequestHandler

This implementation is responsible for validating the request and response data through their Zod schemas. This one is only available when Zod schemas are generated due to the withZod: true configuration. This request handler does reject the promise with the Zod error when requests or responses do not comply with the Zod schema definitions which are defined in the requests' endpointSchema property. It uses the safeParse method for this task.

:bulb: In case of "multipart/form-data" requests, you are allowed to either pass a FormData instance or a plain object in the body property of the endpoint caller function payload. The ZodValidationRequestHandler only validates plain object request bodies and skips validation for FormData instances. This also applies to response bodies which come as FormData after calling the revealBody method of a response.

Promises: resolve vs reject

The provided RequestHandler implementations distinguish between "expected" and "unexpected" events: An "expected" event is for example a response which could not be received due to cancellation or network issues. A response with no 2xx status code is considered to be "expected" as well. In such cases, the Promise which was delivered by the requestHandler.execute method, is going to be resolved. On the other hand, things like programming errors or other runtime errors due to wrong source code are considered to be "unexpected" and will result in a rejected Promise. This applies to all provided RequestHandler implementations.

This behaviour should lead to a better developer experience because thrown errors must only be caught at a root level of an application then.

Semantic versioning

Worried about different code generation outputs after updating this library? As long as the API contract on the backend side was not violated through breaking changes, you don't have to worry about breaking changes in generated code output when upgrading to the next minor version.

Lacking OAS3 support

  • Although default is supported for response status codes, status code pattern matching (e.g. for 5XX) is ignored by the generator and will not get recognized by TS. As of right now, it is added as a possible response having any status code.
  • The generated code for the "not" keyword is any for TS and z.any() for Zod.
  • Only Local References are supported for $ref syntax. One might collect all external $ref definitions and modify the specs accordingly to have only local references when passing the specs to the generator.
  • The discriminator.mapping property - as described here is ignored. It is recommended to define the discriminating literal value directly in the schemas which are referenced in oneOf or anyOf (as long as the discriminator is defined in there). This can be achieved through a string enum.
  • The properties readOnly and writeOnly described here are ignored. It is recommended to have separate definitions for read and write objects, especially with changing requirements (see also CQRS pattern). Anyway, this is planned to be implemented but currently has low priority to me.

Extra

  • Request headers and cookies are always optional. At the moment there is no configuration setting for this. This is because one might avoid defining common headers for every call of an endpoint caller function and define those in a separate underlying request handler. However, as soon as a request headers object is passed in to the endpoint caller function, it must fulfill the definition of the given OAS3 specs, e.g. required: true of a specific header.
  • AnyOf does officially support only ObjectSchemas or ObjectSchemaComponentRefs. However, in case of an OAS3 spec which defines another type in the anyOf property (e.g. a StringSchema), the generator does generate code which treats non-ObjectSchema types as another union option.

Out of scope

Linting is out of scope of this package. The generator is responsible to generate valid TypeScript (and Zod) definitions. That's what it does. Your code setup should be responsible for linting your code, so it might make sense for you to run ESLint right after the generateOas3ToTs function was executed, e.g. with a script in your package.json like so:

"scripts": {
  "api:generate": "node api.generate.js && eslint --fix --quiet ./generated-api"
}

Bug report / feature request

If you think an unsupported feature needs to be implemented, feel free to open an issue or create a new pull request. Please refer to the pull request criteria which is defined here.