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9d09c45 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 | """CLI entrypoint for synthetic CityFlow dataset generation."""
from __future__ import annotations
import argparse
from pathlib import Path
from .city_generator import CityGenerator
from .schemas import DatasetGenerationConfig, DemandIntensity
DEFAULT_TOPOLOGIES = ["irregular_grid"]
DEFAULT_SCENARIOS = [
"normal",
"morning_rush",
"evening_rush",
"accident",
"construction",
"event_spike",
"district_overload",
]
DEFAULT_INTENSITY_LEVELS: list[DemandIntensity] = [
"normal",
"moderate_rush",
"heavy_rush",
"overload",
"accident_overload",
]
DEFAULT_INTENSITY_DISTRIBUTION: dict[DemandIntensity, float] = {
"normal": 0.20,
"moderate_rush": 0.42,
"heavy_rush": 0.24,
"overload": 0.10,
"accident_overload": 0.04,
}
DEFAULT_SCENARIO_DEMAND_MULTIPLIERS: dict[str, float] = {
"normal": 1.15,
"morning_rush": 1.35,
"evening_rush": 1.35,
"accident": 1.75,
"construction": 1.55,
"event_spike": 1.65,
"district_overload": 1.70,
}
def _parse_csv_list(raw: str | None) -> list[str] | None:
if raw is None:
return None
values = [part.strip() for part in raw.split(",")]
return [v for v in values if v]
def _parse_key_value_floats(raw: str | None) -> dict[str, float]:
if not raw:
return {}
result: dict[str, float] = {}
for token in raw.split(","):
token = token.strip()
if not token:
continue
if "=" not in token:
raise ValueError(f"Expected key=value pair, got '{token}'.")
key, value = token.split("=", 1)
result[key.strip()] = float(value.strip())
return result
def build_parser() -> argparse.ArgumentParser:
parser = argparse.ArgumentParser(
description="Generate synthetic CityFlow cities with district-aware scenarios."
)
parser.add_argument("--num-cities", type=int, default=100)
parser.add_argument("--output-dir", type=Path, default=Path("data/generated"))
parser.add_argument("--seed", type=int, default=42)
parser.add_argument("--min-districts", type=int, default=6)
parser.add_argument("--max-districts", type=int, default=20)
parser.add_argument("--min-intersections-per-district", type=int, default=4)
parser.add_argument("--max-intersections-per-district", type=int, default=10)
parser.add_argument(
"--topologies",
type=str,
default=None,
help="Comma-separated list of topologies.",
)
parser.add_argument(
"--scenarios",
type=str,
default=None,
help="Comma-separated list of scenarios.",
)
parser.add_argument("--simulation-steps", type=int, default=3600)
parser.add_argument("--interval", type=float, default=1.0)
parser.add_argument(
"--intensity-levels",
type=str,
default=None,
help="Comma-separated intensity levels.",
)
parser.add_argument(
"--intensity-distribution",
type=str,
default=None,
help="Comma-separated key=value weights for intensities.",
)
parser.add_argument(
"--global-demand-multiplier",
type=float,
default=1.25,
help="Global demand multiplier across all scenarios.",
)
parser.add_argument(
"--scenario-demand-multipliers",
type=str,
default=None,
help="Comma-separated key=value multipliers by scenario name.",
)
parser.add_argument(
"--ring-diagonal-keep-prob",
type=float,
default=0.07,
help="Keep probability for optional ring-road interior diagonals.",
)
parser.add_argument(
"--ring-max-diagonal-fraction",
type=float,
default=0.03,
help="Maximum fraction of optional diagonals retained in ring-road topology.",
)
parser.add_argument("--save-replay", action="store_true")
parser.add_argument("--fail-fast", action="store_true")
return parser
def main() -> None:
parser = build_parser()
args = parser.parse_args()
topologies = _parse_csv_list(args.topologies)
scenarios = _parse_csv_list(args.scenarios)
intensity_levels = _parse_csv_list(args.intensity_levels)
intensity_distribution = _parse_key_value_floats(args.intensity_distribution)
scenario_demand_multipliers = _parse_key_value_floats(
args.scenario_demand_multipliers
)
config = DatasetGenerationConfig(
num_cities=args.num_cities,
output_dir=args.output_dir,
seed=args.seed,
min_districts=args.min_districts,
max_districts=args.max_districts,
min_intersections_per_district=args.min_intersections_per_district,
max_intersections_per_district=args.max_intersections_per_district,
topologies=topologies if topologies is not None else DEFAULT_TOPOLOGIES,
scenarios=scenarios if scenarios is not None else DEFAULT_SCENARIOS,
intensity_levels=(
intensity_levels if intensity_levels is not None else DEFAULT_INTENSITY_LEVELS
),
intensity_distribution=(
intensity_distribution
if intensity_distribution
else DEFAULT_INTENSITY_DISTRIBUTION
),
global_demand_multiplier=args.global_demand_multiplier,
scenario_demand_multipliers=(
scenario_demand_multipliers
if scenario_demand_multipliers
else DEFAULT_SCENARIO_DEMAND_MULTIPLIERS
),
ring_diagonal_keep_prob=args.ring_diagonal_keep_prob,
ring_max_diagonal_fraction=args.ring_max_diagonal_fraction,
simulation_steps=args.simulation_steps,
interval=args.interval,
save_replay=args.save_replay,
fail_fast=args.fail_fast,
)
CityGenerator().generate_dataset(config)
if __name__ == "__main__":
main()
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