freactor

Crates.iofreactor
lib.rsfreactor
version0.1.8
sourcesrc
created_at2024-07-30 07:46:20.855617
updated_at2024-08-12 01:27:41.924519
descriptionA lightweight framework for asynchronous execution flow.
homepagehttps://github.com/Pro-YY/freactor-rs
repositoryhttps://github.com/Pro-YY/freactor-rs.git
max_upload_size
id1319532
size16,922
Paul Yang (Pro-YY)

documentation

README

Freactor

Crates.io Docs.rs License: MIT Build Status

A lightweight framework for asynchronous execution flow in Rust, designed to be fast, reliable, scalable and easy-to-use.

Table of Contents

Overview

Freactor is a lightweight and flexible framework designed to manage and execute asynchronous flows in Rust. It provides an easy-to-use API to define and execute asynchronous tasks, making it ideal for building complex workflows and state machines.

Installation

Add with cargo command:

cargo add freactor

Or you can add freactor to your Cargo.toml:

[dependencies]
freactor = "0.1"

Usage

Here's a quick example to get you started:

/* Your async function implementations, and function map here. */
async r1() {}
async r2() {}
async r3() {}
...


async run () {
    // 1. Define business flow config
    let flow_config = r#"
    {
        "ExampleTask1": {
            "init_step": "r1",
            "config": {
                "r1": { "edges": ["r2", "r3", "r4"]},
                "r2": { "edges": ["r5", "r3"]},
                "r3": { "edges": ["r6", "r4"]},
                "r4": { "edges": []},
                "r5": { "edges": ["r6", "r3"]},
                "r6": { "edges": [], "retry": null}
            }
        }
    }
    "#.to_string();

    // 2. Init freactor with funcs and config
    let f = Freactor::new(func_map, flow_config);

    // 3. Prepare you workspace arc state, and run your flow later anywhere
    let state = Arc::new(Mutex::new(State:new(YOUR_BUSINESS_DATA)))
    f.run("ExampleTask1", workspace_state).await;

}

Examples

Here are some examples to illustrate how to use freactor for different scenarios:

Example 1: Multi-Threaded Parallel Execution

// run with independent self data(state)

async fn run() {
    // function map and flow config here...
    let f = Freactor::new(func_map, flow_config);

    // multiple flow instance concurrently
    let mut shared_vecs: Vec<Arc<Mutex<State>>> = Vec::with_capacity(10);
    for i in 0..shared_vecs.capacity() {
        let state = State::new(...);
        shared_vecs.push(Arc::new(Mutex::new(state)));
    }

    let mut jset = JoinSet::new();
    for v in shared_vecs.clone() {
        let fc = f.clone();
        jset.spawn(async move {
            let _ = fc.run("Task1", v).await;
        });
    }
    while let Some(_res) = jset.join_next().await {}

    for v in shared_vecs {
        let vec = v.lock().unwrap();
        info!("Mutated Vec: {:?}", *vec);
    }
}

Example 2: HTTP Web Server Integration

// with web framework, like Axum
// just put freactor in shared server state (Extension/State) and run your task in handler

async fn handle_task_1(Extension(f): Extension<Arc<Freactor>>) -> &'static str {
    let v = Arc::new(Mutex::new(State::new(...)));
    let _ = f.run("Task1", v).await;
    "Hello, World!"
}

async fn main() {
    // function map and flow config here...
    let f = Freactor::new(func_map, flow_config);
    let shared_server_state = Arc::new(f);

    let app = Router::new()
    .route("/", get(root))
    .route("/1", get(handle_task_1))
    .route("/2", get(handle_task_2))
    .layer(Extension(shared_server_state));

    // run our app with hyper, listening globally on port 3000
    let listener = tokio::net::TcpListener::bind("0.0.0.0:3000").await.unwrap();
    axum::serve(listener, app).await.unwrap();
}

API Reference

For detailed API reference, please visit docs.rs.

Contributing

Welcome contributions from the community! Please read our CONTRIBUTING guide to learn how you can help.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contact

If you have any questions, feel free to reach out:

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