kincir 0.1.4

A Rust message streaming library inspired by Watermill
Documentation
# Kincir

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Kincir is a Rust library that provides a unified interface for message streaming with support for multiple message broker backends. It offers a simple, consistent API for publishing and subscribing to messages across different messaging systems, with advanced routing capabilities.

## Features

- Unified messaging interface with support for multiple backends (Kafka, RabbitMQ)
- Message routing with customizable handlers
- Built-in logging support
- Message UUID generation for tracking and identification
- Customizable message metadata support
- Async/await support
- Type-safe error handling

## Installation

Add kincir to your `Cargo.toml`:

```toml
[dependencies]
kincir = "0.1.3"
```

## Build and Development

### Using Make

The project includes a Makefile to simplify common development tasks:

```bash
# Build the project
make build

# Run tests
make test

# Format code and run linters
make verify

# Generate documentation
make docs

# Run benchmarks
make bench

# Show all available commands
make help
```

### Using Docker

The project includes Docker support for development and testing:

```bash
# Start the Docker environment
./scripts/docker_env.sh start

# Run the Kafka example
./scripts/docker_env.sh kafka

# Run the RabbitMQ example
./scripts/docker_env.sh rabbitmq

# Show all available commands
./scripts/docker_env.sh help
```

For more details on Docker usage, see [README.docker.md](README.docker.md).

## Usage

### Basic Message Creation

```rust
use kincir::Message;

// Create a new message with payload
let payload = b"Hello, World!".to_vec();
let message = Message::new(payload);

// Add metadata to the message
let message = message.with_metadata("content-type", "text/plain");
```

### Setting Up a Message Router

The Router is a central component that handles message flow between publishers and subscribers:

```rust
use kincir::rabbitmq::{RabbitMQPublisher, RabbitMQSubscriber};
use kincir::router::{Router, Logger, StdLogger};
use kincir::Message;
use std::sync::Arc;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error + Send + Sync>> {
    // Initialize logger
    let logger = Arc::new(StdLogger::new(true, true));

    // Configure message brokers
    let publisher = Arc::new(RabbitMQPublisher::new("amqp://localhost:5672"));
    let subscriber = Arc::new(RabbitMQSubscriber::new("amqp://localhost:5672", "my-queue"));

    // Define message handler
    let handler = Arc::new(|msg: Message| {
        Box::pin(async move {
            // Process the message
            let mut processed_msg = msg;
            processed_msg.set_metadata("processed", "true");
            Ok(vec![processed_msg])
        })
    });

    // Create and run router
    let router = Router::new(
        logger,
        "input-exchange".to_string(),
        "output-exchange".to_string(),
        subscriber,
        publisher,
        handler,
    );

    router.run().await
}
```

### Publishing Messages

```rust
use kincir::Publisher;

// Create messages to publish
let messages = vec![Message::new(b"Message 1".to_vec()), Message::new(b"Message 2".to_vec())];

// Publish messages to a topic
async fn publish_example<P: Publisher>(publisher: &P) -> Result<(), P::Error> {
    publisher.publish("my-topic", messages).await
}
```

### Subscribing to Messages

```rust
use kincir::Subscriber;

// Subscribe and receive messages
async fn subscribe_example<S: Subscriber>(subscriber: &S) -> Result<(), S::Error> {
    // Subscribe to a topic
    subscriber.subscribe("my-topic").await?;
    
    // Receive messages
    loop {
        let message = subscriber.receive().await?;
        println!("Received message: {:?}", message);
    }
}
```

## Backend Implementations

### Kafka

Kincir provides Kafka support through the `kafka` module:

```rust
use kincir::kafka::{KafkaPublisher, KafkaSubscriber};

// Configure Kafka publisher
let publisher = KafkaPublisher::new("localhost:9092");

// Configure Kafka subscriber
let subscriber = KafkaSubscriber::new("localhost:9092", "consumer-group-id");
```

### RabbitMQ

RabbitMQ support is available through the `rabbitmq` module:

```rust
use kincir::rabbitmq::{RabbitMQPublisher, RabbitMQSubscriber};

// Configure RabbitMQ publisher
let publisher = RabbitMQPublisher::new("amqp://localhost:5672");

// Configure RabbitMQ subscriber
let subscriber = RabbitMQSubscriber::new("amqp://localhost:5672", "my-queue");
```

## Message Structure

Each message in Kincir consists of:

- `uuid`: A unique identifier for the message
- `payload`: The actual message content as a byte vector
- `metadata`: A hash map of string key-value pairs for additional message information

## Message Handler

Message handlers are async functions that process incoming messages and can produce zero or more output messages:

```rust
use kincir::Message;

// Define a message handler
let handler = |msg: Message| {
    Box::pin(async move {
        // Process the message
        let mut processed_msg = msg;
        processed_msg.set_metadata("processed", "true");
        Ok(vec![processed_msg])
    })
};
```

## Roadmap to v1.0 🚀  

Kincir is evolving towards **feature parity with Watermill (Golang)** while leveraging Rust's performance and safety. Below is our roadmap:

### ✅ **v0.2 – Core Enhancements**  
- In-memory message broker for local testing  
- Unified Ack/Nack handling across backends  
- Correlation ID tracking for tracing  
- Performance profiling and initial benchmarks  
- Unit & integration tests for stability  

### 🔄 **v0.3 – Middleware & Backend Expansion**  
- Middleware framework: logging, retry, recovery, correlation  
- Additional broker support (e.g., NATS, AWS SQS)  
- Optimized async pipeline for lower latency  
- Integration tests for middleware + new backends  

### 📊 **v0.4 – Distributed Tracing & Monitoring**  
- OpenTelemetry-based tracing for message flows  
- Prometheus metrics for message processing  
- Poison queue (dead-letter handling)  
- Throttling & backpressure support  
- Stress testing and performance benchmarking  

### 🛠 **v0.5 – Hardening & API Freeze**  
- API finalization for stability  
- Cross-platform testing (Linux, macOS, Windows)  
- Memory optimization and async efficiency improvements