from itertools import islice from pathlib import Path from typing import List from pydantic import BaseModel, Field, model_validator, HttpUrl from torrentool.torrent import Torrent from urllib3.util import parse_url from benchmarks.core.config import Host, ExperimentBuilder from benchmarks.core.experiments.experiments import IteratedExperiment, ExperimentEnvironment, Experiment, \ BoundExperiment from benchmarks.core.experiments.static_experiment import StaticDisseminationExperiment from benchmarks.core.utils import sample, RandomTempData from benchmarks.deluge.deluge_node import DelugeMeta, DelugeNode from benchmarks.deluge.tracker import Tracker class DelugeNodeConfig(BaseModel): address: Host daemon_port: int listen_ports: list[int] = Field(min_length=2, max_length=2) class DelugeNodeSetConfig(BaseModel): network_size: int = Field(gte=2) address: str daemon_port: int listen_ports: list[int] = Field(min_length=2, max_length=2) first_node_index: int = 1 nodes: List[DelugeNodeConfig] = [] @model_validator(mode='after') def expand_nodes(self): self.nodes = [ DelugeNodeConfig( address=self.address.format(node_index=str(i)), daemon_port=self.daemon_port, listen_ports=self.listen_ports, ) for i in range(self.first_node_index, self.first_node_index + self.network_size) ] return self DelugeDisseminationExperiment = IteratedExperiment[BoundExperiment[StaticDisseminationExperiment[Torrent, DelugeMeta]]] class DelugeExperimentConfig(ExperimentBuilder[DelugeDisseminationExperiment]): repetitions: int = Field(gt=0) file_size: int = Field(gt=0) seeders: int = Field(gt=0) shared_volume_path: Path tracker_announce_url: HttpUrl nodes: List[DelugeNodeConfig] | DelugeNodeSetConfig def build(self) -> DelugeDisseminationExperiment: nodes_specs = self.nodes.nodes if isinstance(self.nodes, DelugeNodeSetConfig) else self.nodes network = [ DelugeNode( name=f'deluge-{i + 1}', volume=self.shared_volume_path, daemon_port=node_spec.daemon_port, daemon_address=str(node_spec.address), ) for i, node_spec in enumerate(nodes_specs) ] tracker = Tracker(parse_url(str(self.tracker_announce_url))) env = ExperimentEnvironment( components=network + [tracker], polling_interval=0.5, ) repetitions = ( env.bind(StaticDisseminationExperiment( network=network, seeders=list(islice(sample(len(network)), self.seeders)), data=RandomTempData(size=self.file_size, meta=DelugeMeta(f'dataset-{experiment_run}', announce_url=tracker.announce_url)) )) for experiment_run in range(self.repetitions) ) return IteratedExperiment(repetitions)