A code generator to convert OpenApi version 3 (OAS3) specifications into endpoint caller functions for TS and Zod.
The code of the demo video is available here.
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
💡 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.
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.
💡 Node version
>= 18.0.0
is required to support the Blob class if you want to use the generated code on the backend side.
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:
- The generated code for the endpoint with the operationId
auth.authenticate
will be put into./auth/authenticate.ts
- The generated code for the endpoint with the operationId
userManagement.getUsers
will be put into./user-management/getUsers.ts
- 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.
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.
💡 The
response.contentType
property does not always match the exact value of the actualresponse.headers['content-type']
which was received from the server. Theresponse.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 actualcontent-type
header is adopted during runtime.
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.
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);
},
});
💡 The AxiosRequestHandler forces Axios to always receive response bodies in form of an
ArrayBuffer
. This is achieved through settingresponseType: 'arraybuffer'
inside the AxiosRequestConfig. A preconfiguredresponseType
property is therefore always overwritten by the request handler. The same applies tocancelToken
.
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
},
});
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.
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.
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.
💡 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 therevealBody
method of a response.
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.
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.
- 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 havingany
status code. - The generated code for the "not" keyword
is
any
for TS andz.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 inoneOf
oranyOf
(as long as the discriminator is defined in there). This can be achieved through a string enum. - The properties
readOnly
andwriteOnly
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.
- Request
headers
andcookies
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 requestheaders
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.
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"
}
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.