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@replit/river
Advanced tools
It's like tRPC but... with JSON Schema Support, duplex streaming and support for service multiplexing. Transport agnostic!
⚠️ Not production ready, while Replit is using parts of River in production, we are still going through rapid breaking changes. First production ready version will be 1.x.x
⚠️
River allows multiple clients to connect to and make remote procedure calls to a remote server as if they were local procedures.
River provides a framework for long-lived streaming Remote Procedure Calls (RPCs) in modern web applications, featuring advanced error handling and customizable retry policies to ensure seamless communication between clients and servers.
River provides a framework similar to tRPC and gRPC but with additional features:
See PROTOCOL.md for more information on the protocol.
Before proceeding, ensure you have TypeScript 5 installed and configured appropriately:
Ensure your tsconfig.json
is configured correctly:
You must verify that:
compilerOptions.moduleResolution
is set to "bundler"
compilerOptions.strictFunctionTypes
is set to true
compilerOptions.strictNullChecks
is set to true
or, preferably, that:
compilerOptions.moduleResolution
is set to "bundler"
compilerOptions.strict
is set to true
Like so:
{
"compilerOptions": {
"moduleResolution": "bundler",
"strict": true
// Other compiler options...
}
}
If these options already exist in your tsconfig.json
and don't match what is shown above, modify them. River is designed for "strict": true
, but technically only strictFunctionTypes
and strictNullChecks
being set to true
is required. Failing to set these will cause unresolvable type errors when defining services.
Install River and Dependencies:
To use River, install the required packages using npm:
npm i @replit/river @sinclair/typebox
rpc
whose handler has a signature of Input -> Result<Output, Error>
.upload
whose handler has a signature of AsyncIterableIterator<Input> -> Result<Output, Error>
.subscription
whose handler has a signature of Input -> Pushable<Result<Output, Error>>
.stream
whose handler has a signature of AsyncIterableIterator<Input> -> Pushable<Result<Output, Error>>
.Transport
to work.
First, we create a service using ServiceSchema
:
import { ServiceSchema, Procedure, Ok } from '@replit/river';
import { Type } from '@sinclair/typebox';
export const ExampleService = ServiceSchema.define(
// configuration
{
// initializer for shared state
initializeState: () => ({ count: 0 }),
},
// procedures
{
add: Procedure.rpc({
input: Type.Object({ n: Type.Number() }),
output: Type.Object({ result: Type.Number() }),
errors: Type.Never(),
// note that a handler is unique per user RPC
async handler(ctx, { n }) {
// access and mutate shared state
ctx.state.count += n;
return Ok({ result: ctx.state.count });
},
}),
},
);
Then, we create the server:
import http from 'http';
import { WebSocketServer } from 'ws';
import { WebSocketServerTransport } from '@replit/river/transport/ws/server';
import { createServer } from '@replit/river';
// start websocket server on port 3000
const httpServer = http.createServer();
const port = 3000;
const wss = new WebSocketServer({ server: httpServer });
const transport = new WebSocketServerTransport(wss, 'SERVER');
export const server = createServer(transport, {
example: ExampleService,
});
export type ServiceSurface = typeof server;
httpServer.listen(port);
In another file for the client (to create a separate entrypoint),
import { WebSocketClientTransport } from '@replit/river/transport/ws/client';
import { createClient } from '@replit/river';
import { WebSocket } from 'ws';
const transport = new WebSocketClientTransport(
async () => new WebSocket('ws://localhost:3000'),
'my-client-id',
);
const client = createClient(
transport,
'SERVER', // transport id of the server in the previous step
{ eagerlyConnect: true }, // whether to eagerly connect to the server on creation (optional argument)
);
// we get full type safety on `client`
// client.<service name>.<procedure name>.<procedure type>()
// e.g.
const result = await client.example.add.rpc({ n: 3 });
if (result.ok) {
const msg = result.payload;
console.log(msg.result); // 0 + 3 = 3
}
To add logging, you can bind a logging function to a transport.
import { coloredStringLogger } from '@replit/river/logging';
const transport = new WebSocketClientTransport(
async () => new WebSocket('ws://localhost:3000'),
'my-client-id',
);
transport.bindLogger(console.log);
// or
transport.bindLogger(coloredStringLogger);
You can define your own logging functions that satisfy the LogFn
type.
River defines two types of reconnects:
Hard reconnects are signaled via sessionStatus
events.
If your application is stateful on either the server or the client, the service consumer should wrap all the client-side setup with transport.addEventListener('sessionStatus', (evt) => ...)
to do appropriate setup and teardown.
transport.addEventListener('sessionStatus', (evt) => {
if (evt.status === 'connect') {
// do something
} else if (evt.status === 'disconnect') {
// do something else
}
});
// or, listen for specific session states
transport.addEventListener('sessionTransition', (evt) => {
if (evt.state === SessionState.Connected) {
// switch on various transition states
} else if (evt.state === SessionState.NoConnection) {
// do something
}
});
River allows you to extend the protocol-level handshake so you can add additional logic to validate incoming connections.
You can do this by passing extra options to createClient
and createServer
and extending the ParsedMetadata
interface:
declare module '@replit/river' {
interface ParsedMetadata {
userId: number;
}
}
const schema = Type.Object({ token: Type.String() });
createClient<typeof services>(new MockClientTransport('client'), 'SERVER', {
eagerlyConnect: false,
handshakeOptions: createClientHandshakeOptions(schema, async () => ({
// the type of this function is
// () => Static<typeof schema> | Promise<Static<typeof schema>>
token: '123',
})),
});
createServer(new MockServerTransport('SERVER'), services, {
handshakeOptions: createServerHandshakeOptions(
schema,
(metadata, previousMetadata) => {
// the type of this function is
// (metadata: Static<typeof<schema>, previousMetadata?: ParsedMetadata) =>
// | false | Promise<false> (if you reject it)
// | ParsedMetadata | Promise<ParsedMetadata> (if you allow it)
// next time a connection happens on the same session, previousMetadata will
// be populated with the last returned value
},
),
});
You can then access the ParsedMetadata
in your procedure handlers:
async handler(ctx, ...args) {
// this contains the parsed metadata
console.log(ctx.metadata)
}
We've also provided an end-to-end testing environment using Next.js
, and a simple backend connected with the WebSocket transport that you can play with on Replit.
You can find more service examples in the E2E test fixtures
npm i
-- install dependenciesnpm run check
-- lintnpm run format
-- formatnpm run test
-- run testsnpm run publish
-- cut a new release (should bump version in package.json first)FAQs
It's like tRPC but... with JSON Schema Support, duplex streaming and support for service multiplexing. Transport agnostic!
The npm package @replit/river receives a total of 10,149 weekly downloads. As such, @replit/river popularity was classified as popular.
We found that @replit/river demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 25 open source maintainers collaborating on the project.
Did you know?
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