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run_cycle.py
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run_cycle.py
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"""
ZhangLiang
Change the function of testexp: test the transfer ability on other datasets
Step: 1. pretain the model
2. preapre the new data
3. test the model on the new data
"""
import json
import os
import time
from multiprocessing import Process
from utils import config
from utils.utils import merge
from utils.cityflow_env import CityFlowEnv
import argparse
import shutil
os.environ['CUDA_VISIBLE_DEVICES'] = '-1'
multi_process = True
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument("-memo", type=str, default='benchmark_0214_c_2')
parser.add_argument("-old_memo", type=str, default='benchmark_0214_2')
parser.add_argument("-model", type=str, default="General")
parser.add_argument("-old_dir", type=str, default='anon_3_4_jinan_real3.json_02_14_18_54_26')
parser.add_argument("-old_round", type=str, default="round_75")
parser.add_argument("-workers", type=int, default=3)
parser.add_argument("-hangzhou", action="store_true", default=1)
parser.add_argument("-jinan", action="store_true", default=1)
parser.add_argument("-newyork2", action="store_true", default=1)
return parser.parse_args()
def main(args):
# preapre the data
if args.hangzhou:
count = 3600
road_net = "4_4"
traffic_file_list = ["anon_4_4_hangzhou_real.json", "anon_4_4_hangzhou_real_5816.json"]
num_rounds = 1
template = "Hangzhou"
elif args.jinan:
count = 3600
road_net = "3_4"
traffic_file_list = ["anon_3_4_jinan_real_2000.json", "anon_3_4_jinan_real.json",
"anon_3_4_jinan_real_2500.json"]
num_rounds = 1
template = "Jinan"
elif args.newyork2:
count = 3600
road_net = "28_7"
traffic_file_list = ["anon_28_7_newyork_real_double.json", "anon_28_7_newyork_real_triple.json"]
num_rounds = 1
template = "newyork_28_7"
NUM_ROW = int(road_net.split('_')[0])
NUM_COL = int(road_net.split('_')[1])
num_intersections = NUM_ROW * NUM_COL
print('num_intersections:', num_intersections)
print(traffic_file_list)
old_memo = args.old_memo
old_dir = args.old_dir
old_round = args.old_round
old_model_path = os.path.join("model", old_memo, old_dir)
process_list = []
n_workers = args.workers
for traffic_file in traffic_file_list:
dic_agent_conf_extra = {
"CNN_layers": [[32, 32]],
}
deploy_dic_agent_conf = merge(getattr(config, "DIC_BASE_AGENT_CONF"), dic_agent_conf_extra)
dic_traffic_env_conf_extra = {
"MAX_COL": 7,
"MAX_ROW": 28,
"MIN_Q_W": 0.00001,
"test_rounds":old_round,
"MIN_ACTION_TIME": 15,
"MEASURE_TIME": 15,
"OBS_LENGTH": 167, # 11*15
"OBS_LENGTH_Q": 167,
"NUM_ROUNDS": num_rounds,
"NUM_GENERATORS": 1,
"NUM_AGENTS": 1,
"NUM_INTERSECTIONS": num_intersections,
"RUN_COUNTS": count,
"MODEL_NAME": args.model,
"NUM_ROW": NUM_ROW,
"NUM_COL": NUM_COL,
"TRAFFIC_FILE": traffic_file,
"ROADNET_FILE": "roadnet_{0}.json".format(road_net),
"LIST_STATE_FEATURE": [
"new_phase",
"lane_num_vehicle_in",
# "lane_num_vehicle_out",
# "lane_queue_vehicle_in",
# "lane_queue_vehicle_out",
# "traffic_movement_pressure_queue_efficient",
"lane_run_in_part",
# "lane_queue_in_part",
"num_in_seg",
],
"DIC_REWARD_INFO": {
"queue_length": -0.25,
},
}
# change the model path to the old model path
dic_path = {
"PATH_TO_MODEL": old_model_path, # use old model path
"PATH_TO_WORK_DIRECTORY": os.path.join("records", args.memo, traffic_file + "_" +
time.strftime('%m_%d_%H_%M_%S', time.localtime(
time.time()))),
"PATH_TO_DATA": os.path.join("data", template, str(road_net))
}
deploy_dic_traffic_env_conf = merge(config.dic_traffic_env_conf, dic_traffic_env_conf_extra)
multi_process = True
if multi_process:
tsr = Process(target=testor_wrapper,
args=(deploy_dic_agent_conf,
deploy_dic_traffic_env_conf,
dic_path,
old_round))
process_list.append(tsr)
else:
testor_wrapper(deploy_dic_agent_conf,
deploy_dic_traffic_env_conf,
dic_path,
old_round)
if multi_process:
for i in range(0, len(process_list), n_workers):
i_max = min(len(process_list), i + n_workers)
for j in range(i, i_max):
print(j)
print("start_traffic")
process_list[j].start()
print("after_traffic")
for k in range(i, i_max):
print("traffic to join", k)
process_list[k].join()
print("traffic finish join", k)
return args.memo
def testor_wrapper(dic_agent_conf, dic_traffic_env_conf, dic_path, old_round):
testor = Testor(dic_agent_conf,
dic_traffic_env_conf,
dic_path,
old_round)
testor.main()
print("============= restor wrapper end =========")
class Testor:
def __init__(self, dic_agent_conf, dic_traffic_env_conf, dic_path, old_round):
self.dic_agent_conf = dic_agent_conf
self.dic_traffic_env_conf = dic_traffic_env_conf
self.dic_path = dic_path
self._path_check()
self._copy_conf_file()
self._copy_anon_file()
agent_name = self.dic_traffic_env_conf["MODEL_NAME"]
# use one-model
self.agent = config.DIC_AGENTS[agent_name](
dic_agent_conf=dic_agent_conf,
dic_traffic_env_conf=dic_traffic_env_conf,
dic_path=dic_path,
cnt_round=0,
intersection_id=str(0)
)
self.path_to_log = self.dic_path["PATH_TO_WORK_DIRECTORY"]
if not os.path.exists(self.path_to_log):
os.makedirs(self.path_to_log)
self.env = CityFlowEnv(path_to_log=self.path_to_log,
path_to_work_directory=self.dic_path["PATH_TO_WORK_DIRECTORY"],
dic_traffic_env_conf=self.dic_traffic_env_conf)
# TODO, load the pretrained model
self.agent.load_network("{0}_inter_0".format(old_round))
def main(self):
rounds = ["round_" + str(i) for i in range(75, 80)] # (29, 30)
for old_round in rounds:
self.path_to_log = os.path.join(self.dic_path["PATH_TO_WORK_DIRECTORY"], "test_round", old_round)
if not os.path.exists(self.path_to_log):
os.makedirs(self.path_to_log)
self.env = CityFlowEnv(path_to_log=self.path_to_log,
path_to_work_directory=self.dic_path["PATH_TO_WORK_DIRECTORY"],
dic_traffic_env_conf=self.dic_traffic_env_conf)
# TODO, load the pretrained model
self.agent.load_network("{0}_inter_0".format(old_round))
self.run()
def run(self):
done = False
step_num = 0
state = self.env.reset()
running_start_time = time.time()
while not done and step_num < int(self.dic_traffic_env_conf["RUN_COUNTS"]/self.dic_traffic_env_conf["MIN_ACTION_TIME"]):
step_start_time = time.time()
action_list = self.agent.choose_action2( state)
next_state = self.env.step(action_list)
print("time: {0}, running_time: {1}".format(
self.env.get_current_time() - self.dic_traffic_env_conf["MIN_ACTION_TIME"],
time.time() - step_start_time))
state = next_state
step_num += 1
running_time = time.time() - running_start_time
log_start_time = time.time()
print("=========== start env logging ===========")
self.env.batch_log_2()
log_time = time.time() - log_start_time
# self.env.end_anon()
print("running_time: ", running_time)
print("log_time: ", log_time)
def _path_check(self):
# check path
if os.path.exists(self.dic_path["PATH_TO_WORK_DIRECTORY"]):
if self.dic_path["PATH_TO_WORK_DIRECTORY"] != "records/default":
raise FileExistsError
else:
pass
else:
os.makedirs(self.dic_path["PATH_TO_WORK_DIRECTORY"])
def _copy_conf_file(self, path=None):
if path is None:
path = self.dic_path["PATH_TO_WORK_DIRECTORY"]
json.dump(self.dic_agent_conf, open(os.path.join(path, "agent.conf"), "w"),
indent=4)
json.dump(self.dic_traffic_env_conf,
open(os.path.join(path, "traffic_env.conf"), "w"), indent=4)
def _copy_anon_file(self, path=None):
if path is None:
path = self.dic_path["PATH_TO_WORK_DIRECTORY"]
shutil.copy(os.path.join(self.dic_path["PATH_TO_DATA"], self.dic_traffic_env_conf["TRAFFIC_FILE"]),
os.path.join(path, self.dic_traffic_env_conf["TRAFFIC_FILE"]))
shutil.copy(os.path.join(self.dic_path["PATH_TO_DATA"], self.dic_traffic_env_conf["ROADNET_FILE"]),
os.path.join(path, self.dic_traffic_env_conf["ROADNET_FILE"]))
if __name__ == "__main__":
args = parse_args()
main(args)