High-performance P2P Swarm implementation in C/Python with Signed RPC and IPC
Project description
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.
- Hyperswarm Integration (v0.2.3):
- Transparent Bridge: Automatically launches a managed Node.js bridge to leverage the battle-tested JS Hyperswarm implementation.
- Full Compatibility: Connect seamlessly with existing Hyperswarm networks (Node.js, Holepunch).
- Auto-Setup: Automatically handles dependency installation (
npm install) and process management.
- Native Extensions:
- Noise Handshake (XX Pattern): Secure, authenticated connections using
libsodium(Ed25519/Curve25519). - UDX Transport: Reliable, encrypted UDP transport with congestion control and packet ordering.
- Holepunching: Built-in NAT traversal.
- Private Bootstrap Mode: Run isolated nodes on fixed ports to serve as private network beacons.
- Noise Handshake (XX Pattern): Secure, authenticated connections using
- Secure:
- Uses XSalsa20-Poly1305 for transport encryption.
- Implements secure random number generation.
- 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)
- Libsodium (automatically bundled on Windows if built via setup.py)
Quick Start
Basic Node (Hyperswarm)
from kadepy import Swarm
import hashlib
import time
# Create a node (automatically starts the Node.js bridge)
node = Swarm()
print("Node started!")
# Generate a topic key (32-byte bytes)
topic = hashlib.sha256(b"my-app-topic").digest()
print(f"Joining topic: {topic.hex()}")
# Join the swarm for this topic (announce=True, lookup=True by default)
node.join(topic)
# Define callback for incoming data
def on_data(data):
print(f"Received message: {data}")
# Reply to the sender (broadcasts to topic in this simple example)
node.send(f"Echo: {data}")
# Register the callback
node.on("data", on_data)
# Send a message to the swarm
node.send("Hello World from KadePy!")
# Keep the process alive
try:
while True:
time.sleep(1)
except KeyboardInterrupt:
print("Stopping...")
Architecture
KadePy follows a hybrid architecture:
-
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.
- Hyperswarm (Experimental): Native C implementation of Noise/UDX (work in progress).
- UDP Reactor: Handles non-blocking socket I/O using
-
Node.js Bridge (
kadepy.js):- Bridge Process: A lightweight Node.js process managed by Python.
- Hyperswarm: Uses the official
hyperswarmlibrary for DHT discovery and holepunching. - TCP IPC: Communicates with Python via a local TCP connection using JSON messages.
-
Python Wrapper (
Swarm):- Provides a high-level API (
join,leave,send,on). - Manages the Node.js Bridge process lifecycle.
- Handles data encoding/decoding (Base64/UTF-8).
- Provides a high-level API (
Contributing
Contributions are welcome! Please check out the CONTRIBUTING.md guide for details.
- Fork the project.
- Create your feature branch (
git checkout -b feature/AmazingFeature). - Commit your changes (
git commit -m 'Add some AmazingFeature'). - Push to the branch (
git push origin feature/AmazingFeature). - Open a Pull Request.
License
Distributed under the MIT License. See LICENSE for more information.
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