-
Notifications
You must be signed in to change notification settings - Fork 20
/
run_chatgpt.py
158 lines (133 loc) · 5.57 KB
/
run_chatgpt.py
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
"""
Run the Fixed-Time model
On JiNan and HangZhou real data
"""
from utils.utils import oneline_wrapper
import os
import time
from multiprocessing import Process
import argparse
from utils import error
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument("--prompt", type=str, default='Commonsense')
parser.add_argument("--proj_name", type=str, default="chatgpt-TSCS")
parser.add_argument("--eightphase", action="store_true", default=False)
parser.add_argument("--multi_process", action="store_true", default=True)
parser.add_argument("--workers", type=int, default=1)
parser.add_argument("--gpt_version", type=str, default="gpt-4")
parser.add_argument("--dataset", type=str, default="jinan")
parser.add_argument("--traffic_file", type=str, default="anon_3_4_jinan_real.json")
return parser.parse_args()
def main(in_args):
traffic_file_list = []
if in_args.dataset == 'jinan':
count = 3600
road_net = "3_4"
traffic_file_list = ["anon_3_4_jinan_real.json", "anon_3_4_jinan_real_2000.json",
"anon_3_4_jinan_real_2500.json", "anon_3_4_jinan_synthetic_24000_60min.json",
"anon_3_4_jinan_synthetic_24h_6000.json"]
template = "Jinan"
elif in_args.dataset == 'hangzhou':
count = 3600
road_net = "4_4"
traffic_file_list = ["anon_4_4_hangzhou_real.json", "anon_4_4_hangzhou_real_5816.json", "anon_4_4_hangzhou_synthetic_24000_60min.json"]
template = "Hangzhou"
elif in_args.dataset == 'newyork_28x7':
count = 3600
road_net = "28_7"
traffic_file_list = ["anon_28_7_newyork_real_double.json", "anon_28_7_newyork_real_triple.json"]
template = "NewYork"
if in_args.prompt == "Commonsense":
in_args.memo = "ChatGPTTLCSCommonsense"
elif in_args.prompt == "Wait Time Forecast":
in_args.memo = "ChatGPTTLCWaitTimeForecast"
in_args.model = in_args.memo
if "24h" in in_args.traffic_file:
count = 86400
# flow_file error
try:
if in_args.traffic_file not in traffic_file_list:
raise error.flowFileException('Flow file does not exist.')
except error.flowFileException as e:
print(e)
return
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(in_args.traffic_file)
process_list = []
dic_agent_conf_extra = {
"GPT_VERSION": in_args.gpt_version,
"LOG_DIR": "./GPT_logs",
}
dic_traffic_env_conf_extra = {
"NUM_AGENTS": num_intersections,
"NUM_INTERSECTIONS": num_intersections,
"MODEL_NAME": f"{in_args.model}-{dic_agent_conf_extra['GPT_VERSION']}",
"PROJECT_NAME": in_args.proj_name,
"RUN_COUNTS": count,
"NUM_ROW": NUM_ROW,
"NUM_COL": NUM_COL,
"TRAFFIC_FILE": in_args.traffic_file,
"ROADNET_FILE": "roadnet_{0}.json".format(road_net),
"LIST_STATE_FEATURE": [
"cur_phase",
"traffic_movement_pressure_queue",
],
"DIC_REWARD_INFO": {
"pressure": 0
},
}
if in_args.eightphase:
dic_traffic_env_conf_extra["PHASE"] = {
1: [0, 1, 0, 1, 0, 0, 0, 0],
2: [0, 0, 0, 0, 0, 1, 0, 1],
3: [1, 0, 1, 0, 0, 0, 0, 0],
4: [0, 0, 0, 0, 1, 0, 1, 0],
5: [1, 1, 0, 0, 0, 0, 0, 0],
6: [0, 0, 1, 1, 0, 0, 0, 0],
7: [0, 0, 0, 0, 0, 0, 1, 1],
8: [0, 0, 0, 0, 1, 1, 0, 0]
}
dic_traffic_env_conf_extra["PHASE_LIST"] = ['WT_ET', 'NT_ST', 'WL_EL', 'NL_SL',
'WL_WT', 'EL_ET', 'SL_ST', 'NL_NT']
dic_agent_conf_extra["FIXED_TIME"] = [30, 30, 30, 30, 30, 30, 30, 30]
else:
dic_agent_conf_extra["FIXED_TIME"] = [30, 30, 30, 30]
dic_traffic_env_conf_extra["NUM_AGENTS"] = dic_traffic_env_conf_extra["NUM_INTERSECTIONS"]
dic_path_extra = {
"PATH_TO_MODEL": os.path.join("model", in_args.memo, in_args.traffic_file + "_" +
time.strftime('%m_%d_%H_%M_%S', time.localtime(time.time()))),
"PATH_TO_WORK_DIRECTORY": os.path.join("records", in_args.memo, in_args.traffic_file + "_" +
time.strftime('%m_%d_%H_%M_%S', time.localtime(time.time()))),
"PATH_TO_DATA": os.path.join("data", template, str(road_net))
}
if not os.path.exists("./GPT_logs"):
os.makedirs("./GPT_logs")
if in_args.multi_process:
process_list.append(Process(target=oneline_wrapper,
args=(dic_agent_conf_extra,
dic_traffic_env_conf_extra, dic_path_extra,
f'{template}-{road_net}', in_args.traffic_file.split(".")[0]))
)
else:
oneline_wrapper(dic_agent_conf_extra, dic_traffic_env_conf_extra, dic_path_extra,
f'{template}-{road_net}', in_args.traffic_file.split(".")[0])
if in_args.multi_process:
i = 0
list_cur_p = []
for p in process_list:
if len(list_cur_p) < in_args.workers:
print(i)
p.start()
list_cur_p.append(p)
i += 1
if len(list_cur_p) < in_args.workers:
continue
for p in list_cur_p:
p.join()
if __name__ == "__main__":
args = parse_args()
main(args)