.github/ISSUE_TEMPLATE | ||
docs | ||
examples | ||
kademlia | ||
.gitignore | ||
.pylintrc | ||
.travis.yml | ||
dev-requirements.txt | ||
LICENSE | ||
pytest.ini | ||
README.md | ||
requirements.txt | ||
setup.py |
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 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
loop = asyncio.get_event_loop()
# Create a node and start listening on port 5678
node = Server()
loop.run_until_complete(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.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
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).