Skip to content

nnonno/kademlia

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

74 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Python Distributed Hash Table

Build Status Docs Status

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

# Create a node and start listening on port 5678
node = Server()
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.
loop = asyncio.get_event_loop()
loop.run_until_complete(node.bootstrap([("123.123.123.123", 5678)]))

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

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

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
python -m unittest

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).

About

A DHT in Python using asyncio

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 100.0%