Python Distributed Hash Table

Documentation can be found at kademlia.readthedocs.org.

This library is an asynchronous Python implementation of the Kademlia distributed hash table. It uses the asyncio library in Python 3 to provide asynchronous communication. The nodes communicate using RPC over UDP to communiate, meaning that it is capable of working behind a NAT.

This library is a fork of the kademlia Python library. It is intended to be roughly equivalent, but due to this library having security fixes, it is not compatible with the original nor other reference kademlia implementations. Specifically the use of sha1 and pickle have been replaced by better choices

Installation

pip install secure-kademlia

Usage

This assumes you have a working familiarity with asyncio.

Assuming you want to connect to an existing network:

import asyncio
from kademlia.network import Server

async def run():
    # Create a node and start listening on port 5678
    node = Server()
    await node.listen(5678)

    # Bootstrap the node by connecting to other known nodes, in this case
    # replace 123.123.123.123 with the IP of another node and optionally
    # give as many ip/port combos as you can for other nodes.
    await node.bootstrap([("123.123.123.123", 5678)])

    # set a value for the key "my-key" on the network
    await node.set("my-key", "my awesome value")

    # get the value associated with "my-key" from the network
    result = await node.get("my-key")
    print(result)

asyncio.run(run())

Initializing a Network

If you're starting a new network from scratch, just omit the node.bootstrap call in the example above. Then, bootstrap other nodes by connecting to the first node you started.

See the examples folder for a first node example that other nodes can bootstrap connect to and some code that gets and sets a key/value.

Logging

This library uses the standard Python logging library. To see debut output printed to STDOUT, for instance, use:

import logging

log = logging.getLogger('kademlia')
log.setLevel(logging.DEBUG)
log.addHandler(logging.StreamHandler())

Running Tests

To run tests:

pip install -r dev-requirements.txt
pytest

Reporting Issues

Please report all issues on github.

Fidelity to Original Paper

The current implementation should be an accurate implementation of all aspects of the paper save one - in Section 2.3 there is the requirement that the original publisher of a key/value republish it every 24 hours. This library does not do this (though you can easily do this manually).