kadepy 0.1.0

High-performance P2P Swarm implementation in C/Python

KadePy

High-Performance Kademlia DHT Implementation for Python

KadePy is a robust and efficient Distributed Hash Table (DHT) library implementing the Kademlia protocol. It combines a high-performance C extension core for network handling and routing with a user-friendly Python wrapper.

Features

• High Performance: Core logic (UDP reactor, routing table, storage, protocol) implemented in C for minimal overhead and maximum throughput.
• Cross-Platform: Fully compatible with Windows, Linux, and macOS.
• Secure:
  • Uses ChaCha20 for optional packet encryption.
  • Implements secure random number generation (BCryptGenRandom on Windows, /dev/urandom on POSIX).
• Concurrency: Thread-safe architecture with a dedicated network reactor thread, releasing the GIL whenever possible.
• Easy to Use: Simple Python API for creating nodes, storing values, and finding peers.

Installation

From Source

git clone https://github.com/ON00dev/KadePy.git
cd KadePy
pip install .

Requirements

• Python 3.10+
• C Compiler (GCC/Clang on Linux/macOS, MSVC on Windows)

Quick Start

Basic Node

from kadepy import Swarm
import time

# Create a node on a random port
node = Swarm()
print(f"Node started on port {node.port}")

# Create another node to bootstrap
bootstrap_node = Swarm(port=8000)
print("Bootstrap node on port 8000")

# Bootstrap the first node
node.bootstrap("127.0.0.1", 8000)

# Announce a topic (hash)
topic_hash = b'\x00' * 32 # 32-byte hash
node.announce(topic_hash, node.port)

# Find peers for the topic
peers = node.get_peers(topic_hash)
print("Found peers:", peers)

# Keep alive
try:
    while True:
        time.sleep(1)
except KeyboardInterrupt:
    print("Stopping...")

Architecture

KadePy follows a hybrid architecture:

1. C Extension (_core):

   • UDP Reactor: Handles non-blocking socket I/O using select (or platform specific polling).
   • Protocol: Implements Kademlia message serialization/deserialization.
   • Routing: Manages K-Buckets and node lookups.
   • Storage: In-memory key-value storage with expiration.
   • Crypto: ChaCha20 encryption and secure RNG.

2. Python Wrapper (Swarm):

   • Provides a high-level API.
   • Manages the C reactor lifecycle.
   • Handles bootstrapping and iterative lookups.

Contributing

Contributions are welcome! Please check out the CONTRIBUTING.md guide for details.

1. Fork the project.
2. Create your feature branch (git checkout -b feature/AmazingFeature).
3. Commit your changes (git commit -m 'Add some AmazingFeature').
4. Push to the branch (git push origin feature/AmazingFeature).
5. Open a Pull Request.

License

Distributed under the MIT License. See LICENSE for more information.