def test_all_xosc(self):
"""
Load all examples OpenSCENARIO files
"""
all_test_files = glob.glob('**/srunner/examples/*.xosc',
recursive=True)
for filename in all_test_files:
client = carla.Client()
config = OpenScenarioConfiguration(filename, client, {})
self.assertTrue(config is not None)
CarlaDataProvider.set_client(client)
ego_vehicles = []
for vehicle in config.ego_vehicles:
ego_vehicles.append(
CarlaDataProvider.request_new_actor(
vehicle.model,
vehicle.transform,
vehicle.rolename,
color=vehicle.color,
actor_category=vehicle.category))
scenario = OpenScenario(world=client.get_world(),
ego_vehicles=ego_vehicles,
config=config,
config_file=filename,
timeout=100000)
self.assertTrue(scenario is not None)
CarlaDataProvider.cleanup()
def run_openscenario(self, args):
"""
Run openscenario
"""
# Load the scenario configurations provided in the config file
if not os.path.isfile(args.openscenario):
print("File does not exist")
self.cleanup()
return
config = OpenScenarioConfiguration(args.openscenario)
if not self.load_world(args, config.town):
self.cleanup()
return
# Create scenario manager
self.manager = ScenarioManager(self.world, args.debug)
# Prepare scenario
print("Preparing scenario: " + config.name)
try:
CarlaActorPool.set_world(self.world)
self.prepare_ego_vehicles(config, args.waitForEgo)
scenario = OpenScenario(world=self.world,
ego_vehicles=self.ego_vehicles,
config=config,
config_file=args.openscenario,
timeout=100000)
except Exception as exception:
print("The scenario cannot be loaded")
if args.debug:
traceback.print_exc()
print(exception)
self.cleanup()
return
self.load_and_run_scenario(args, config, scenario)
self.cleanup(ego=(not args.waitForEgo))
print("No more scenarios .... Exiting")
def _load_and_run_scenario(self, config):
"""
Load and run the scenario given by config
"""
result = False
if not self._load_and_wait_for_world(config.town, config.ego_vehicles):
self._cleanup()
return False
if self._args.agent:
agent_class_name = self.module_agent.__name__.title().replace(
'_', '')
try:
self.agent_instance = getattr(self.module_agent,
agent_class_name)(
self._args.agentConfig)
config.agent = self.agent_instance
except Exception as e: # pylint: disable=broad-except
traceback.print_exc()
print("Could not setup required agent due to {}".format(e))
self._cleanup()
return False
# Prepare scenario
print("Preparing scenario: " + config.name)
try:
self._prepare_ego_vehicles(config.ego_vehicles)
if self._args.openscenario:
scenario = OpenScenario(world=self.world,
ego_vehicles=self.ego_vehicles,
config=config,
config_file=self._args.openscenario,
timeout=100000)
elif self._args.route:
scenario = RouteScenario(world=self.world,
config=config,
debug_mode=self._args.debug)
else:
scenario_class = self._get_scenario_class_or_fail(config.type)
scenario = scenario_class(self.world, self.ego_vehicles,
config, self._args.randomize,
self._args.debug)
except Exception as exception: # pylint: disable=broad-except
print("The scenario cannot be loaded")
traceback.print_exc()
print(exception)
self._cleanup()
return False
# Set the appropriate weather conditions
self.world.set_weather(config.weather)
# Set the appropriate road friction
if config.friction is not None:
friction_bp = self.world.get_blueprint_library().find(
'static.trigger.friction')
extent = carla.Location(1000000.0, 1000000.0, 1000000.0)
friction_bp.set_attribute('friction', str(config.friction))
friction_bp.set_attribute('extent_x', str(extent.x))
friction_bp.set_attribute('extent_y', str(extent.y))
friction_bp.set_attribute('extent_z', str(extent.z))
# Spawn Trigger Friction
transform = carla.Transform()
transform.location = carla.Location(-10000.0, -10000.0, 0.0)
self.world.spawn_actor(friction_bp, transform)
try:
# Load scenario and run it
if self._args.record:
self.client.start_recorder("{}/{}.log".format(
os.getenv('ROOT_SCENARIO_RUNNER', "./"), config.name))
self.manager.load_scenario(scenario, self.agent_instance)
self.manager.run_scenario()
# Provide outputs if required
self._analyze_scenario(config)
# Remove all actors
scenario.remove_all_actors()
result = True
except SensorConfigurationInvalid as e:
self._cleanup()
ChallengeStatisticsManager.record_fatal_error(e)
sys.exit(-1)
except Exception as e: # pylint: disable=broad-except
traceback.print_exc()
if self._args.challenge:
ChallengeStatisticsManager.set_error_message(
traceback.format_exc())
print(e)
result = False
self._cleanup()
return result
def _load_and_run_scenario(self, config):
"""
Load and run the scenario given by config
"""
result = False
if not self._load_and_wait_for_world(config.town, config.ego_vehicles):
self._cleanup()
return False
if self._args.agent:
agent_class_name = self.module_agent.__name__.title().replace('_', '')
try:
self.agent_instance = getattr(self.module_agent, agent_class_name)(self._args.agentConfig)
config.agent = self.agent_instance
except Exception as e: # pylint: disable=broad-except
traceback.print_exc()
print("Could not setup required agent due to {}".format(e))
self._cleanup()
return False
# Prepare scenario
print("Preparing scenario: " + config.name)
try:
self._prepare_ego_vehicles(config.ego_vehicles)
if self._args.openscenario:
scenario = OpenScenario(world=self.world,
ego_vehicles=self.ego_vehicles,
config=config,
config_file=self._args.openscenario,
timeout=100000)
elif self._args.route:
scenario = RouteScenario(world=self.world,
config=config,
debug_mode=self._args.debug)
else:
scenario_class = self._get_scenario_class_or_fail(config.type)
scenario = scenario_class(self.world,
self.ego_vehicles,
config,
self._args.randomize,
self._args.debug)
except Exception as exception: # pylint: disable=broad-except
print("The scenario cannot be loaded")
traceback.print_exc()
print(exception)
self._cleanup()
return False
try:
if self._args.record:
recorder_name = "{}/{}/{}.log".format(
os.getenv('SCENARIO_RUNNER_ROOT', "./"), self._args.record, config.name)
self.client.start_recorder(recorder_name, True)
# Load scenario and run it
self.manager.load_scenario(scenario, self.agent_instance)
self.manager.run_scenario()
# Provide outputs if required
self._analyze_scenario(config)
# Remove all actors, stop the recorder and save all criterias (if needed)
scenario.remove_all_actors()
if self._args.record:
self.client.stop_recorder()
self._record_criteria(self.manager.scenario.get_criteria(), recorder_name)
result = True
except Exception as e: # pylint: disable=broad-except
traceback.print_exc()
print(e)
result = False
self._cleanup()
return result
def _load_and_run_scenario(self, args, config):
"""
Load and run the scenario given by config
"""
if not self._load_and_wait_for_world(args, config.town,
config.ego_vehicles):
self._cleanup()
return
# Prepare scenario
print("Preparing scenario: " + config.name)
try:
self._prepare_ego_vehicles(config.ego_vehicles, args.waitForEgo)
if args.openscenario:
scenario = OpenScenario(world=self.world,
ego_vehicles=self.ego_vehicles,
config=config,
config_file=args.openscenario,
timeout=100000)
elif args.route:
scenario = RouteScenario(world=self.world,
config=config,
debug_mode=args.debug)
else:
scenario_class = self._get_scenario_class_or_fail(config.type)
scenario = scenario_class(self.world, self.ego_vehicles,
config, args.randomize, args.debug)
except Exception as exception:
print("The scenario cannot be loaded")
if args.debug:
traceback.print_exc()
print(exception)
self._cleanup()
return
# Set the appropriate weather conditions
weather = carla.WeatherParameters(
cloudyness=config.weather.cloudyness,
precipitation=config.weather.precipitation,
precipitation_deposits=config.weather.precipitation_deposits,
wind_intensity=config.weather.wind_intensity,
sun_azimuth_angle=config.weather.sun_azimuth,
sun_altitude_angle=config.weather.sun_altitude)
self.world.set_weather(weather)
# Create scenario manager
self.manager = ScenarioManager(self.world, args.debug)
# Load scenario and run it
self.manager.load_scenario(scenario)
self.manager.run_scenario()
# Provide outputs if required
self._analyze_scenario(args, config)
# Stop scenario and _cleanup
self.manager.stop_scenario()
scenario.remove_all_actors()
self._cleanup()
def _load_and_run_scenario(self, args, config):
"""
Load and run the scenario given by config
"""
if not self._load_and_wait_for_world(args, config.town,
config.ego_vehicles):
self._cleanup()
return
if args.agent:
agent_class_name = self.module_agent.__name__.title().replace(
'_', '')
try:
self.agent_instance = getattr(
self.module_agent, agent_class_name)(args.agentConfig)
config.agent = self.agent_instance
except Exception as e:
print("Could not setup required agent due to {}".format(e))
self._cleanup()
return
# Prepare scenario
print("Preparing scenario: " + config.name)
try:
self._prepare_ego_vehicles(config.ego_vehicles, args.waitForEgo)
if args.openscenario:
scenario = OpenScenario(world=self.world,
ego_vehicles=self.ego_vehicles,
config=config,
config_file=args.openscenario,
timeout=100000)
elif args.route:
scenario = RouteScenario(world=self.world,
config=config,
debug_mode=args.debug)
else:
scenario_class = self._get_scenario_class_or_fail(config.type)
scenario = scenario_class(self.world, self.ego_vehicles,
config, args.randomize, args.debug)
except Exception as exception:
print("The scenario cannot be loaded")
if args.debug:
traceback.print_exc()
print(exception)
self._cleanup()
return
# Set the appropriate weather conditions
weather = carla.WeatherParameters(
cloudyness=config.weather.cloudyness,
precipitation=config.weather.precipitation,
precipitation_deposits=config.weather.precipitation_deposits,
wind_intensity=config.weather.wind_intensity,
sun_azimuth_angle=config.weather.sun_azimuth,
sun_altitude_angle=config.weather.sun_altitude)
self.world.set_weather(weather)
try:
# Load scenario and run it
if args.record:
self.client.start_recorder("{}/{}.log".format(
os.getenv('ROOT_SCENARIO_RUNNER', "./"), config.name))
self.manager.load_scenario(scenario, self.agent_instance)
self.manager.run_scenario()
# Stop scenario
self.manager.stop_scenario()
# Provide outputs if required
self._analyze_scenario(args, config)
# Remove all actors
scenario.remove_all_actors()
except SensorConfigurationInvalid as e:
self._cleanup(True)
ChallengeStatisticsManager.record_fatal_error(e)
sys.exit(-1)
except Exception as e:
if args.debug:
traceback.print_exc()
if args.challenge:
ChallengeStatisticsManager.set_error_message(
traceback.format_exc())
print(e)
self._cleanup()
def run_single_scenario(self, config, vel, dist, rep):
"""
Modified based on original load_and_run_scenario.
Run single scenario test once.
Load and run the scenario given by config
"""
# original flag to identify if the scenario successfully ran
result = False
# additional result storage
result_flags = ['success', 'collision', 'time_exceed']
single_result = {
'result': None,
'duration_time':
None, # float, duration time of single scenario test run
}
# original method, get prepared
if not self._load_and_wait_for_world(config.town, config.ego_vehicles):
self._cleanup()
return False
# prepare agent
if self._args.agent:
agent_class_name = self.module_agent.__name__.title().replace(
'_', '')
try:
# todo init agent instance with custom args
self.agent_instance = getattr(self.module_agent,
agent_class_name)(
self._args.agentConfig)
config.agent = self.agent_instance
except Exception as e: # pylint: disable=broad-except
traceback.print_exc()
print("Could not setup required agent due to {}".format(e))
self._cleanup()
return False
# ============================================================
# -------------------- modifications --------------------
# ============================================================
# ----------------- retrieve scenario info -----------------
#
route_flag_index = {
'left': -1,
'straight': 0,
'right': 1,
'straight_1': 0,
}
route_config = config.name.split('-')
ego_route_option = route_config[1]
traffic_route_option = route_config[3]
# # an exception for straight scenario
# if ego_route_option == 'straight_1':
# ego_route_option = 'straight'
# get turn flag
ego_turn_flag = route_flag_index[ego_route_option]
traffic_turn_flag = route_flag_index[traffic_route_option]
# ----------------- Get ego route -----------------
# get start location of ego vehicle from config
route_manager = ScenarioRouteManager(
world=self.world,
spawn_location=config.ego_vehicles[0].transform.location,
debug=True,
verbose=False,
)
# get target junction
junction = route_manager.junction
# ego route
# distance to drive after the junction area
route_distance = 3.
ego_wp_route, ego_loc_route, ego_trans_route = \
route_manager.get_route(spawn_location=config.ego_vehicles[0].transform.location,
distance=route_distance,
turning_flag=ego_turn_flag,
)
tf_distance = 50. #
tf_wp_route, tf_loc_route, tf_trans_route = \
route_manager.get_route(spawn_location=config.other_actors[0].transform.location,
distance=tf_distance,
turning_flag=traffic_turn_flag,
)
# visualize ego route
for wp, _ in ego_wp_route:
draw_waypoint(self.world, wp, color=(green, green))
# visualize traffic flow route
for wp, _ in tf_wp_route:
draw_waypoint(self.world, wp, color=(magenta, magenta))
# # todo fix check api to check if test agent is loaded correctly
# if self.agent_instance.__class__.__name__ == 'TestAgent':
# set additional API for agent instance
try:
# set route option for agent instance
self.agent_instance.load_model(
route_option=ego_route_option,
manual=False, # manually set model path in test_agent.py
# debug=True,
debug=False,
)
# set carla.Client to init state manager
self.agent_instance.set_client(self.client,
self._args.trafficManagerPort)
# set junction for the agent state manager
self.agent_instance.set_junction(junction)
# set transform route for ego vehicle
self.agent_instance.set_route(ego_trans_route)
# reset buffer at beginning of each episode
self.agent_instance.reset_buffer()
except:
print()
raise RuntimeError(
'Fail to assign critical API to agent instance, please check.')
# Prepare scenario
print("Preparing scenario: " + config.name)
try:
self._prepare_ego_vehicles(config.ego_vehicles)
# -------------------- modifications --------------------
# assign ego vehicle for agent instance, init a controller
self.agent_instance.set_ego_vehicles(
self.ego_vehicles[0],
controller_timestep=1.0 / self.frame_rate,
)
# ---------------------------------------------------------
if self._args.openscenario:
scenario = OpenScenario(world=self.world,
ego_vehicles=self.ego_vehicles,
config=config,
config_file=self._args.openscenario,
timeout=100000)
elif self._args.route:
scenario = RouteScenario(world=self.world,
config=config,
debug_mode=self._args.debug)
else:
scenario_class = self._get_scenario_class_or_fail(config.type)
# if using developed scenario class
if scenario_class.__name__.startswith(
'IntersectionContinuousTraffic'):
scenario = scenario_class(
world=self.world,
ego_vehicles=self.ego_vehicles,
config=config,
# randomize=self._args.randomize,
randomize=
False, # we use this arg to randomize distance gap
debug_mode=self._args.debug,
criteria_enable=True,
# timeout=80, # todo fix time limit of a episode
# =========================
# additional args
ego_route=ego_loc_route, # ego route for success check
wp_plan=tf_wp_route,
target_speed=vel, # target speed of traffic flow
distance_gap=
dist, # distance between traffic flow spawning
verbose=True, # visualize everything
)
else: # original lines
scenario = scenario_class(self.world, self.ego_vehicles,
config, self._args.randomize,
self._args.debug)
# ================ original lines ================
# scenario_class = self._get_scenario_class_or_fail(config.type)
# # todo fix the api to init self_defined scenarios
# scenario = scenario_class(self.world,
# self.ego_vehicles,
# config,
# self._args.randomize,
# self._args.debug,
# ego_route=wp_route,
# )
except Exception as exception: # pylint: disable=broad-except
print("The scenario cannot be loaded")
traceback.print_exc()
print(exception)
self._cleanup()
return False
try:
if self._args.record:
recorder_name = "{}/{}/{}.log".format(
os.getenv('SCENARIO_RUNNER_ROOT', "./"), self._args.record,
config.name)
self.client.start_recorder(recorder_name, True)
# Load scenario and run it
self.manager.load_scenario(scenario, self.agent_instance)
# pre run the scenario
min_waiting_time = 100. / vel * 3.6 # assuming that first vehicle drive 100m to cross the junction
waiting_time = float(
random.uniform(min_waiting_time,
1.25 * min_waiting_time)) # in seconds
init_speed = 10. # in km/h
self.manager.pre_run_scenario(
waiting_time=waiting_time,
ego_init_speed=init_speed, # in km/h
)
# data storage path
# get route option
route_config = config.name.split('-')
ego_route_option = route_config[1]
traffic_route_option = route_config[3]
path_name = 'ego_{}_tf_{}'.format(ego_route_option,
traffic_route_option)
file_path = os.path.join(scenario_runner_path, 'test_outputs',
path_name, self.tag, 'statistics')
os.makedirs(file_path, exist_ok=True)
file_name = 'Vel_{:n}_Dist_{}_Rep_{}.jsonl'.format(vel, dist, rep)
# run_scenario will return the max_acc and min_ttc of this test run
max_acc, min_ttc = self.manager.run_scenario(
file_path=os.path.join(file_path, file_name),
ego_init_speed=init_speed)
# get running results
if scenario.scenario.test_criteria[0].collision_time:
single_result['result'] = 'collision'
single_result[
'duration_time'] = scenario.scenario.test_criteria[
0].collision_time
elif self.manager.scenario_duration_game >= scenario_class.timeout - 1.: # todo check how timeout passed to scenario class
single_result['result'] = 'time_exceed'
single_result['duration_time'] = scenario_class.timeout
else:
single_result['result'] = 'success'
single_result[
'duration_time'] = self.manager.scenario_duration_game
# add max_acc, min_ttc to result storage
single_result['max_acc'] = max_acc
single_result['min_ttc'] = min_ttc
# write data at final line of json file
with open(os.path.join(file_path, file_name), 'a') as f:
f.write(
json.dumps({
'duration': self.manager.scenario_duration_game,
'result': single_result['result'],
'max_acc': max_acc,
'min_ttc': min_ttc,
}) + '\n')
# Provide outputs if required
self._analyze_scenario(config)
# Remove all actors, stop the recorder and save all criterias (if needed)
scenario.remove_all_actors()
if self._args.record:
self.client.stop_recorder()
self._record_criteria(self.manager.scenario.get_criteria(),
recorder_name)
result = True
except Exception as e: # pylint: disable=broad-except
traceback.print_exc()
print(e)
result = False
self._cleanup()
return result, single_result
def run_openscenario(self, args):
"""
Run openscenario
"""
# Load the scenario configurations provided in the config file
if not os.path.isfile(args.openscenario):
print("File does not exist")
self.cleanup()
return
CarlaActorPool.set_client(self.client)
CarlaDataProvider.set_world(self.world)
config = OpenScenarioConfiguration(args.openscenario)
if args.reloadWorld:
self.world = self.client.load_world(config.town)
else:
if CarlaDataProvider.get_map().name != config.town:
print("The CARLA server uses the wrong map!")
print("This scenario requires to use map {}".format(
config.town))
self.cleanup()
return
# Wait for the world to be ready
self.world.wait_for_tick(self.wait_for_world)
# Create scenario manager
self.manager = ScenarioManager(self.world, args.debug)
# Prepare scenario
print("Preparing scenario: " + config.name)
try:
CarlaActorPool.set_world(self.world)
self.prepare_ego_vehicles(config, args.waitForEgo)
scenario = OpenScenario(world=self.world,
ego_vehicles=self.ego_vehicles,
config=config,
config_file=args.openscenario,
timeout=100000)
except Exception as exception:
print("The scenario cannot be loaded")
if args.debug:
traceback.print_exc()
print(exception)
self.cleanup()
return
# Load scenario and run it
self.manager.load_scenario(scenario)
self.manager.run_scenario()
# Provide outputs if required
self.analyze_scenario(args, config)
# Stop scenario and cleanup
self.manager.stop_scenario()
scenario.remove_all_actors()
self.cleanup(ego=(not args.waitForEgo))
print("No more scenarios .... Exiting")
