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gRpc streaming client typescript

A client-gRPC streaming written in TypeScript for browser applications. The focus is on simplicity, reliability, and extensibility. It provides convenient features to automatically reconnect and convert data to object.

Features

  • Dependency-free and small in size
  • When the connection is lost, it can optionally be configured to
    • Automatically try to reconnect in a smart way
  • Easy to override metadata and request
  • Support uses the backoff factor to apply between attempts.
  • Builder-class for easy initialization and configuration
  • High test-coverage and in-code documentation
    • Enables you to easily modify and extend the code

Installation

In your project-root:

๐Ÿš€ Install with npm

npm install @nixjs23n6/grpc-stream-client
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๐Ÿš€ Install with yarn

yarn add @nixjs23n6/grpc-stream-client
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In your project-code:

import { StreamBuilder } from '@nixjs23n6/grpc-stream-client';
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Usage

Example proto:

export class ChatClient {
  constructor (hostname: string,
               credentials?: null | { [index: string]: string; },
               options?: null | { [index: string]: any; });

  room(
    request: JoinRoomRequest,
    metadata?: grpcWeb.Metadata
  ): grpcWeb.ClientReadableStream<RoomEvent>;
}
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Initialization

Create a new instance with the provided StreamBuilder:

const client = new ChatClient()
const stream = new StreamBuilder(client, 'room').build();
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Request

Add a request into builder:

const client = new ChatClient()
const stream = new StreamBuilder(client, 'room').withRequest(new google_protobuf_empty_pb.Empty()).build();
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Metadata

Add a metada into buider:

const client = new ChatClient()
let deadline = new Date()
deadline.setSeconds(deadline.getSeconds() + BaseTimeoutStreamingRequest).toString()
const authorization = 'eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIxMjM0NTY3ODkwIiwibmFtZSI6IkpvaG4gRG9lIiwiaWF0IjoxNTE2MjM5MDIyfQ.SflKxwRJSMeKKF2QT4fwpMeJf36POk6yJV_adQssw5c'
const stream = new StreamBuilder(client, 'room').withMetadata({ deadline, authorization }).build();
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Events & Callbacks

There are five events which can be subscribed to through callbacks:

export enum StreamEvents {
    data = 'data', // A data was received
    metadata = 'metadata', // A metadata of the connection
    error = 'error', // An error occurred
    end = 'end', // Connection is ended
    retry = 'retry', // A try to re-connect is made
}
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The callbacks are called with the issuing streaming-instance and the causing event as arguments:

const client = new ChatClient()
const stream = new StreamBuilder(client, 'room')
    .onData((i, data) => console.log('[Stream] data', data)))
    .onEnd((i) => console.log('[Stream] Ended'))
    .onError((i, error) => console.log('[Stream] Error', error))
    .onRetry((i, e) => console.log('[Stream] Retry', e))
    .build();
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You can remove event-listener with removeEventListener:

let stream: Stream
/* ... */
stream.removeEventListener(StreamEvents.data, dataEventListener);
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Retry advanced

You can update metadata or request when using onRetry method

const client = new ChatClient()
const stream = new StreamBuilder(client, 'room')
    .onRetry(async (instance) => {
        const token = await requestNewAccessToken()
            instance.metaData = {
               authorization: token
                deadline
            }
        })
    .build();
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Reconnect & Backoff

If you want the gRpc streaming to automatically try to re-connect when the connection is lost, you can provide it with a Backoff.
The streaming will use the Backoff to determine how long it should wait between re-tries. There are currently three
Backoff-implementations. You can also implement your own by inheriting from the Backoff-interface.

To use the Backoff feature, install package:

yarn add @nixjs23n6/backoff-typescript
// Or 
npm install @nixjs23n6/backoff-typescript
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ConstantBackoff

The ConstantBackoff will make the streaming wait a constant time between each connection retry. To use the ConstantBackoff
with a wait-time of 1 second:

const client = new ChatClient()
const stream = new StreamBuilder(client, 'room')
    .withBackoff(new ConstantBackoff(1000)) // 1000ms = 1s
    .build();
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LinearBackoff

The LinearBackoff linearly increases the wait-time between connection-retries until an optional maximum is reached.
To use the LinearBackoff to initially wait 0 seconds and increase the wait-time by 1 second with every retry until
a maximum of 8 seconds is reached:

const client = new ChatClient()
const stream = new StreamBuilder(client, 'room')
    .withBackoff(new LinearBackoff(0, 1000, 8000))
    .build();
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ExponentialBackoff

The ExponentialBackoff doubles the backoff with every retry until a maximum is reached. This is modelled after the binary
exponential-backoff algorithm used in computer-networking. To use the ExponentialBackoff that will produce the series
[100, 200, 400, 800, 1600, 3200, 6400]:

const client = new ChatClient()
const stream = new StreamBuilder(client, 'room')
    .withBackoff(new ExponentialBackoff(100, 7))
    .build();
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