"""Example to run a batch of simlations on SHED data.""" __author__ = 'Jarrod Pas <j.pas@usask.ca>' import sys from argparse import ArgumentParser from collections import namedtuple from multiprocessing import Pool from pydtn import Network, RandomTraffic, Node, EpidemicNode from pydtn.community import BubbleNode, HCBFNode, LouvainCommunity import pydtn.shed as shed Simulation = namedtuple('Simulation', ['trace', 'node_type', 'seed']) def run_simulation(simulation): """Run a simulation.""" seed = simulation.seed trace_metadata = shed.read_meta_file(simulation.trace) trace = shed.shed_trace(simulation.trace) epoch = 7*24*60*60 # 7 days node_type = simulation.node_type node_options = { 'tick_rate': 5 * 60, # 5 mins 'community': LouvainCommunity(epoch), } nodes = { node_id: simulation.node_type(**node_options) for node_id in range(trace_metadata['nodes']) } traffic_options = { 'seed': seed, 'start': epoch, 'speed': 30 * 60, # 1 packet every 30 mins } traffic = RandomTraffic(nodes, **traffic_options) network = Network(nodes, traffic=traffic, trace=trace) network.run() stats = { 'trace': simulation.trace, 'node_type': node_type.__name__, 'seed': seed, } stats.update(network.stats_summary) # return stats because we can't pickle the network as it is a generator. return stats def main(args): """Run simulation for each seed in args.""" trace = args['shed'] pool = Pool() simulations = [] for seed in args['seeds']: for node_type in [Node, EpidemicNode, BubbleNode, HCBFNode]: sim = Simulation(trace=trace, node_type=node_type, seed=seed) simulations.append(sim) for stats in pool.imap_unordered(run_simulation, simulations): print(stats) def parse_args(args): """Parse arguments.""" parser = ArgumentParser() parser.add_argument('shed') parser.add_argument('--seeds', '-s', metavar='SEED', type=int, nargs='+', default=[None]) args = parser.parse_args(args) return vars(args) if __name__ == '__main__': exit(main(parse_args(sys.argv[1:])))