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Python Distributed Hash Table

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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 aims to be as close to a reference implementation of the Kademlia paper as possible.

Installation

pip install 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).

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A DHT in Python using asyncio

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