125 lines
4.6 KiB
Python
125 lines
4.6 KiB
Python
import asyncio
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from datetime import datetime
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from typing import Tuple
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from unittest import IsolatedAsyncioTestCase
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import numpy
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from cryptography.hazmat.primitives.asymmetric.x25519 import X25519PrivateKey
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from pysphinx.sphinx import SphinxPacket
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from mixnet.bls import generate_bls
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from mixnet.mixnet import Mixnet, MixnetTopology
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from mixnet.node import MixNode, NodeAddress, PacketPayloadQueue, PacketQueue
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from mixnet.packet import PacketBuilder
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from mixnet.poisson import poisson_interval_sec, poisson_mean_interval_sec
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from mixnet.test_utils import with_test_timeout
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from mixnet.utils import random_bytes
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class TestMixNodeRunner(IsolatedAsyncioTestCase):
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@with_test_timeout(180)
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async def test_mixnode_runner_emission_rate(self):
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"""
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Test if MixNodeRunner works as a M/M/inf queue.
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If inputs are arrived at Poisson rate `lambda`,
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and if processing is delayed according to an exponential distribution with a rate `mu`,
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the rate of outputs should be `lambda`.
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"""
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mixnet, topology = self.init()
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inbound_socket: PacketQueue = asyncio.Queue()
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outbound_socket: PacketPayloadQueue = asyncio.Queue()
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packet, route = PacketBuilder.real(b"msg", mixnet, topology).next()
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delay_rate_per_min = 30 # mu (= 2s delay on average)
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# Start only the first mix node for testing
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_ = route[0].start(delay_rate_per_min, inbound_socket, outbound_socket)
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# Send packets to the first mix node in a Poisson distribution
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packet_count = 100
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emission_rate_per_min = 120 # lambda (= 2msg/sec)
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# This queue is just for counting how many packets have been sent so far.
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sent_packet_queue: PacketQueue = asyncio.Queue()
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_ = asyncio.create_task(
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self.send_packets(
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inbound_socket,
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packet,
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route[0].addr,
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packet_count,
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emission_rate_per_min,
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sent_packet_queue,
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)
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)
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# Calculate intervals between outputs and gather num_jobs in the first mix node.
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intervals = []
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num_jobs = []
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ts = datetime.now()
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for _ in range(packet_count):
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_ = await outbound_socket.get()
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now = datetime.now()
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intervals.append((now - ts).total_seconds())
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# Calculate the current # of jobs staying in the mix node
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num_packets_emitted_from_mixnode = len(intervals)
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num_packets_sent_to_mixnode = sent_packet_queue.qsize()
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num_jobs.append(
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num_packets_sent_to_mixnode - num_packets_emitted_from_mixnode
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)
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ts = now
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# Remove the first interval that would be much larger than other intervals,
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# because of the delay in mix node.
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intervals = intervals[1:]
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num_jobs = num_jobs[1:]
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# Check if the emission rate of the first mix node is the same as
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# the emission rate of the message sender, but with a delay.
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# If outputs follow the Poisson distribution with a rate `lambda`,
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# a mean interval between outputs must be `1/lambda`.
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self.assertAlmostEqual(
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float(numpy.mean(intervals)),
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poisson_mean_interval_sec(emission_rate_per_min),
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delta=1.0,
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)
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# If runner is a M/M/inf queue,
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# a mean number of jobs being processed/scheduled in the runner must be `lambda/mu`.
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self.assertAlmostEqual(
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float(numpy.mean(num_jobs)),
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round(emission_rate_per_min / delay_rate_per_min),
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delta=1.5,
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)
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@staticmethod
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async def send_packets(
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inbound_socket: PacketQueue,
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packet: SphinxPacket,
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node_addr: NodeAddress,
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cnt: int,
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rate_per_min: int,
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# For testing purpose, to inform the caller how many packets have been sent to the inbound_socket
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sent_packet_queue: PacketQueue,
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):
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for _ in range(cnt):
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# Since the task is not heavy, just sleep for seconds instead of using emission_notifier
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await asyncio.sleep(poisson_interval_sec(rate_per_min))
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await inbound_socket.put((node_addr, packet))
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await sent_packet_queue.put((node_addr, packet))
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@staticmethod
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def init() -> Tuple[Mixnet, MixnetTopology]:
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mixnet = Mixnet(
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[
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MixNode(
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generate_bls(),
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X25519PrivateKey.generate(),
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random_bytes(32),
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)
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for _ in range(12)
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]
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)
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topology = mixnet.build_topology(b"entropy", 3, 3)
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return mixnet, topology
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