Using a custom backend server with Next.js in a monorepo.

I was searching for an open source repository that schedules and posts on social media. I found Gitroom.

Gitroom is a awesome, built by Nevo David. You can 📨 schedule social media and articles. Exchange or buy posts from other members 👨🏻💻. Monitor your GitHub trending, and so much more 📈.

The following are some interesting things I learnt from this repository

1. You can use your own backend with Next.js 2. A note about customFetch 3. The way the files are named.

1. You can use your own backend with Next.js

Gitroom uses the following tech stack:

• NX (Monorepo)
• NextJS (React)
• NestJS
• Prisma (Default to PostgreSQL)
• Redis
• Resend (emails notifications)

It has folders named as frontend, backend, cron etc.,

I wondered for quite some time now, if we could use our own backend when you are already using the Next.js, a “full stack” react framework but, I kept seeing people advising to use your custom backend when you need advanced features like cron, web sockets etc., on Reddit. Now that I found Gitroom that demonstrates the custom backend usage along with Next.js and cron, I have a good feeling that you could learn some advanced patterns studying this repository.

2. A note about customFetch

The following code snippet is picked from apps/frontend/src/app/(site)/settings/page.tsx#L21

if (searchParams.code) {
  await internalFetch('/settings/github', {
  method: 'POST',
  body: JSON.stringify({ code: searchParams.code }),
  });

  return redirect('/settings', RedirectType.replace);
}

‘internalFetch’ uses customFetch.

The below code snippet is picked from libraries/helpers/src/utils/custom.fetch.func.ts

export const customFetch = (
 params: Params,
 auth?: string,
 showorg?: string
 ) => {
 return async function newFetch(url: string, options: RequestInit = {}) {
   const newRequestObject = await params?.beforeRequest?.(url, options);
   const fetchRequest = await fetch(params.baseUrl + url, {
   credentials: 'include',
   …(newRequestObject || options),
   headers: {
   …(auth ? { auth } : {}),
   …(showorg ? { showorg } : {}),
   …(options.body instanceof FormData
   ? {}
   : { 'Content-Type': 'application/json' }),
   Accept: 'application/json',
   …options?.headers,
   },
   // @ts-ignore
   …(!options.next && options.cache !== 'force-cache'
   ? { cache: options.cache || 'no-store' }
   : {}),
 });

if (
 !params?.afterRequest ||
 (await params?.afterRequest?.(url, options, fetchRequest))
 ) {
   return fetchRequest;
 }
// @ts-ignore
   return new Promise((res) => {}) as Response;
   };
};

Why???, I don’t know the answer yet but, I can tell there is “beforeRequest” and “afterRequest” processing happening based on the above code snippet

3. The way the files are named.

I have never seen a service file named using dots like “custom.fetch.func.ts”. Sure, there’s config files named as tailwind.config.ts etc.,

Here’s what chatGPT has to say about this: “ This kind of naming does not fit into a traditional case style like snake_case, kebab-case, or camelCase.

However, if we ignore the file extension (“.ts”) and consider only “custom.fetch.func,” it can be seen as:

Dot notation: This isn’t a standard case style but is sometimes used in programming to represent a hierarchical relationship or to namespace parts of a name. “

To be honest, choose w/e naming conventions work for you. I use lowercase words separated by dashes as a file name, like custom-fetch-func.ts

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Github: https://github.com/Ramu-Narasinga

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Resources:

1. https://github.com/gitroomhq/gitroom/blob/e7b669f1253e3ef7ae6b9cc9d2f1d529ea86b288/libraries/helpers/src/utils/internal.fetch.ts#L4
2. https://github.com/gitroomhq/gitroom/tree/main
3. https://github.com/gitroomhq/gitroom/blob/e7b669f1253e3ef7ae6b9cc9d2f1d529ea86b288/libraries/helpers/src/utils/custom.fetch.func.ts