"""Generate concrete test scenarios from logical scenario definition."""
import itertools
from dataclasses import dataclass
from typing import List
@dataclass
class ConcreteScenario:
scenario_id: str
ego_speed_kmh: float
target_dist_m: float
weather: str
lighting: str
target_type: str
expected_action: str
def generate_aeb_scenarios() -> List[ConcreteScenario]:
"""Generate boundary and representative AEB test scenarios."""
scenarios = []
idx = 1
# Boundary values
speeds = [10, 30, 50, 79, 80] # ODD: 10-80
distances = [15, 25, 35, 50] # detection range sweep
weathers = ["dry", "light_rain", "heavy_rain"]
lightings = ["daylight", "overcast", "night_urban"]
target_types = ["sedan", "truck", "pedestrian", "cyclist"]
for speed, dist, weather, light, target in itertools.product(
speeds, distances, weathers, lightings, target_types):
# Determine expected action based on conditions
if weather == "heavy_rain" or light == "night_unlit":
expected = "hmi_warning_only"
elif dist < 20 and speed > 60:
expected = "aeb_activate"
elif dist >= 40:
expected = "no_action"
else:
expected = "aeb_activate"
scenarios.append(ConcreteScenario(
scenario_id=f"SC_{idx:04d}",
ego_speed_kmh=speed, target_dist_m=dist,
weather=weather, lighting=light,
target_type=target, expected_action=expected
))
idx += 1
return scenarios
scenarios = generate_aeb_scenarios()
print(f"Generated {len(scenarios)} concrete scenarios")
activate = sum(1 for s in scenarios if s.expected_action=="aeb_activate")
print(f" AEB activate: {activate}")
print(f" Warning only: {sum(1 for s in scenarios if s.expected_action=="hmi_warning_only")}")