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rocketrpc's Introduction

RocketRPC ๐Ÿš€ - A typesafe framework to destroy the client-server wall.

Frame 8175 (1)

RocketRPC is typesafe RPC library which gets out of your way. Define methods in your server, which you can access instantly in your client - complete with auto-completions and type-checking.

Usage

RocketRPC.Demo.mp4

Talk

Click on the image below to watch @akash-joshi talk about RocketRPC at Svelte London:

Talk

Installation

Install the package

npm i rocketrpc

Client

Note: On the client side, all functions return a Promise with the result by default, because of the asynchronous nature of sockets. So, all passed functions are also modified to return a Promise.

import { Client } from "rocketrpc";
import { API } from "../server";

const client = Client<API>("http://localhost:8080");

const { listFiles, prisma } = client;

const main = async () => {
  // use prisma on the client
  console.log(await prisma.user.findMany());

  // passing multiple parameters to the function
  console.log(await client.sum(12, 20));

  // get server details
  console.log(await listFiles());
};

main();

Server

import { Server } from "rocketrpc";
import { PrismaClient } from "@prisma/client";

import listFiles from "./apis/listFiles";

const api = {
  // initialize Prisma once
  prisma: new PrismaClient();

  sum: (x: number, y: number) => x + y,

  // Fetch all files on server
  listFiles,
};

export type API = typeof api;

Server(8080, api);

Error Handling

At the moment, any error on the server-side is sent to std:error and thrown on the client side.

Try running the examples locally!

Metadata Context

Socket Client

The socket.io client being used by rocketRPC is accessible via the _rocketRpcContext key.

How does it work internally?

In short, the library depends on Websockets, Object Proxies, and Typescript generics to work. In detail:

1. Websockets

We use socket.io for fast and reliable socket connections. Websockets can be lighter than HTTP requests when a large number of connections are needed. Also, they have a smaller code footprint than HTTP requests. Their usage is anyways abstracted away in the codebase, and they can be replaced with any other technology if needed.

2. Object Proxies

The framework utilizes Object Proxies get control over the client object. Any function call made on a property of the client object (or on a deconstructed property), like

client.functionOne();

// or

const { functionOne } = client;
functionOne();

is handled by a get property which has been set on the Object Proxy here.

You can go through the code to see how it uses the property name and parameters to make a socket call to the server.

3. Typescript Generics

All of the auto-complete goodness that the framework provides throughout the app depends on Typescript generics. On the server side, the type is directly applied on the API object,

const api: API = { ...yourApi };

while on the client side it's passed to the Client initializer.

const client = Client<API>(endpoint);

The client function is actually a generic, which accepts the type provided by the user and applies Promise to the return type of each of them. It's a very Typescript-specific piece of code but you can read it here.

Sponsors

If you find RocketRPC enjoyable to work with and wish to show your support for the project, you can express your gratitude by sponsoring it through GitHub Sponsors!

Furthermore, if your company is currently utilizing RocketRPC and would like to support its long-term maintenance, please refer to the sponsorship tiers.

RocketConnect
RocketConnect

Contributing

Pull requests are welcome. You'll probably find lots of improvements to be made.

Open issues for feedback, requesting features, reporting bugs or discussing ideas.

rocketrpc's People

Contributors

akash-joshi avatar danstarns avatar

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rocketrpc's Issues

Pipe operator

Context

I think it would be very useful for this library to support operators out of the box. An operator would be a function which can be applied on the input/output of a user defined function to get desired results. Some operators can be purely client based while some of them could be implemented on the server-side.

For example, the pipe operator for starters can be very useful. It can be used to run a series of functions on the server, which on completion returns the final result.

Sample usage (pipe operator)

import Client, { pipe, partial } from 'functions-over-websockets';

const client = Client(...);

const main = async () => {
  const result = await pipe(
    client.sum,
    partial(client.multiply, 2),
    client.square
  )(2, 2);

  console.log(result); // 64
}

Implementation

From what I understand - currently, the DSL is a simple object with three properties: id, params, procedureName. I think this data can be structured in a better way with a Stack wherein each item represents a function call. The pipe operator can be a metaphor for grouped calls where multiple calls are passed in the same stack. Single function calls can also follow the same DSL and pass single element in an array.

RFC: Improve examples in documentation

I've gotten feedback online that I should perhaps improve the examples I've added in the docs. I'm thinking of:

  1. Hello World Example to give user an idea of how these work
  2. Summing 2 numbers example to show basic computation
  3. Fetch data from an API and return a filtered result from backend
  4. Run ls / -a or something to return file system results from backend

Thought?

Websocket dependency

It's a bit worrying to me depending on WS because there are frameworks doing that (LiveView, for example) and it doesn't scale well. Did you think about doing the sync with SSE?

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