VideoCall Mobile Bindings

Native mobile bindings for the VideoCall project, providing iOS (Swift) and Android (Kotlin) interfaces to the core WebTransport functionality.

Overview

This crate extends the VideoCall project by providing native bindings for iOS and Android platforms using the UniFFI library. It allows mobile developers to easily integrate the VideoCall WebTransport functionality into their iOS and Android applications.

The bindings expose the core VideoCall functionality through platform-specific interfaces, handling the complexities of cross-language communication while maintaining the performance benefits of the Rust implementation.

Features

• Native Mobile Integration: Seamless integration with iOS and Android applications
• WebTransport Support: Access to the VideoCall WebTransport functionality from mobile platforms
• Datagram Management: Efficient handling of datagrams for real-time data transmission
• Error Handling: Comprehensive error handling with detailed error messages
• Thread-Safe: Built with thread safety in mind for concurrent operations
• Simple API: Easy-to-use API for connecting, sending data, and managing connections

Installation

iOS

1. Add the XCFramework to your Xcode project
2. Import the Swift module in your code
3. Use the provided API to connect and send/receive data

import VideoCallKit

// Create a client
let client = WebTransportClient()

// Connect to a server
try client.connect(url: "https://example.com")

// Send data
try client.sendDatagram(data: [1, 2, 3, 4])

// Create a queue for receiving data
let queue = DatagramQueue()

// Subscribe to datagrams
try client.subscribeToDatagrams(queue: queue)

// Check if datagrams are available
if try queue.hasDatagrams() {
    // Receive a datagram
    let data = try queue.receiveDatagram()
    // Process the data
}

Android

1. Add the AAR to your Android project
2. Import the Kotlin module in your code
3. Use the provided API to connect and send/receive data

import com.videocall.uniffi.WebTransportClient
import com.videocall.uniffi.DatagramQueue

// Create a client
val client = WebTransportClient()

// Connect to a server
client.connect("https://example.com")

// Send data
client.sendDatagram(byteArrayOf(1, 2, 3, 4))

// Create a queue for receiving data
val queue = DatagramQueue()

// Subscribe to datagrams
client.subscribeToDatagrams(queue)

// Check if datagrams are available
if (queue.hasDatagrams()) {
    // Receive a datagram
    val data = queue.receiveDatagram()
    // Process the data
}

Building from Source

Prerequisites

• Rust (latest stable)
• Android NDK (for Android builds)
• Xcode (for iOS builds)
• Java 17 (for Android builds)
• UniFFI CLI (cargo install uniffi)

Building for iOS

cd videocall-sdk
./build_ios.sh

This will generate:

• An XCFramework at VideoCallKit/Frameworks/VideoCallIOS.xcframework
• Swift bindings at VideoCallKit/Sources/VideoCallKit/videocall.swift

Building for Android

cd videocall-sdk
./build_android.sh

This will generate:

• An AAR file at target/videocall-sdk.aar
• Kotlin bindings at target/kotlin/com/videocall/uniffi/videocall.kt

How It Works

This crate uses UniFFI to generate language-specific bindings for the VideoCall core functionality:

1. Interface Definition: The videocall.udl file defines the interface that will be exposed to Swift and Kotlin
2. Code Generation: UniFFI generates the necessary code to bridge between Rust and the target languages
3. Build Process: The build scripts compile the Rust code and generate the platform-specific artifacts

Error Handling

The library provides comprehensive error handling through the WebTransportError enum:

• ConnectionError: Errors related to the connection
• TlsError: TLS-related errors
• StreamError: Errors related to data streams
• InvalidUrl: Invalid URL format
• RuntimeError: Runtime-related errors
• CertificateError: Certificate-related errors
• ClientError: Errors related to the client
• QueueError: Errors related to the datagram queue

License

This project is licensed under either of the following licenses:

• MIT License (LICENSE-MIT)
• Apache License, Version 2.0 (LICENSE-APACHE)

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.