-
Notifications
You must be signed in to change notification settings - Fork 0
/
create_params.py
180 lines (153 loc) · 7.13 KB
/
create_params.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
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
'''
@Author: Pang Aoyu
@Date: 2023-04-01
@Description: 创建训练和测试环境的参数，这里有三个创建参数的函数：
- create_params，创建训练使用的参数
- create_test_params，创建测试使用的参数
- create_singleEnv_params，创建单个环境的参数
@LastEditTime: 2023-04-01 23:20:10
'''
import os
from aiolos.utils.get_abs_path import getAbsPath
from SumoNets.TRAIN_CONFIG import TRAIN_SUMO_CONFIG
#from SumoNets.EVAL_CONFIG import EVAL_SUMO_CONFIG
from SumoNets.NET_CONFIG import SUMO_NET_CONFIG # 测试模型时候训练和测试的路网一起进行测试
#from SumoNets.TEST_CONFIG import TEST_SUMO_CONFIG
def create_params(
is_eval:bool,
N_STACK:int, N_DELAY:int, LOG_PATH:str, net_env:str,net_name:str,
):
pathConvert = getAbsPath(__file__)
FOLDER_NAME = net_env # 不同类型的路口
cfg_name=net_env+'.sumocfg'
tls_id = SUMO_NET_CONFIG[FOLDER_NAME]['tls_id'] # 路口 id
#cfg_name = SUMO_NET_CONFIG[FOLDER_NAME]['sumocfg'] # sumo config
#net_name = SUMO_NET_CONFIG[FOLDER_NAME]['nets'][0] # network file
route_name = SUMO_NET_CONFIG[FOLDER_NAME]['routes'][0] # route file
start_time = SUMO_NET_CONFIG[FOLDER_NAME]['start_time'] # route 开始的时间
# 转换为文件路径
cfg_xml = pathConvert(f'./SumoNets/{FOLDER_NAME}/env/{cfg_name}')
net_xml = [pathConvert(f'./SumoNets/{FOLDER_NAME}/env/{net_name}')]
route_xml = [pathConvert(f'./SumoNets/{FOLDER_NAME}/routes/{route_name}')]
FOLDER_NAME= net_env
net_name=net_name
if is_eval: # 如果是测试的 reward，就只使用一个环境进行测试（使用 test 路网进行测试）
env_dict = {
_folder: {
'cfg': pathConvert(f'./SumoNets/{FOLDER_NAME}/env/{cfg_name}'),
'net':[pathConvert(f'./SumoNets/{FOLDER_NAME}/env/{net_name}')],
'route':[pathConvert(f'./SumoNets/{FOLDER_NAME}/routes/{_route}') for _route in SUMO_NET_CONFIG[FOLDER_NAME]['routes']]
}
for _folder in ['train_four_345']
}
else: # 训练的时候多个路网同时进行训练
env_dict = {
FOLDER_NAME: {
'cfg': pathConvert(f'./SumoNets/{FOLDER_NAME}/env/{cfg_name}'),
'net':[pathConvert(f'./SumoNets/{FOLDER_NAME}/env/{net_name}')],
'route':[pathConvert(f'./SumoNets/{FOLDER_NAME}/routes/{_route}') for _route in SUMO_NET_CONFIG[FOLDER_NAME]['routes']]
}
}
'''
net_name='4phases.net.xml'
env_dict = {
_folder: {
'cfg': pathConvert(f'./SumoNets/{_folder}/env/{TRAIN_SUMO_CONFIG[_folder]["sumocfg"]}'),
'net':[pathConvert(f'./SumoNets/{_folder}/env/{net_name}')],
'route':[pathConvert(f'./SumoNets/{_folder}/routes/{_route}') for _route in TRAIN_SUMO_CONFIG[_folder]['routes']]
}
for _folder in [ 'train_four_345']
}
'''
params = {
'tls_id':tls_id,
'begin_time':start_time,
'num_seconds':3600,
'sumo_cfg':cfg_xml,
'net_files':net_xml,
'route_files':route_xml,
'num_stack':N_STACK,
'num_delayed':N_DELAY,
'is_libsumo':True,
'use_gui':False,
'min_green':5,
'log_file':LOG_PATH,
'env_dict':env_dict,
'net_env':net_env
}
return params
def create_test_params(
net_env:str,net_name:str, output_folder:str,
N_STACK:int, N_DELAY:int, LOG_PATH:str
):
"""对训练路网和测试路网都进行测试，这里的 mode=eval
"""
pathConvert = getAbsPath(__file__)
FOLDER_NAME = net_env # 要测试的路网名称
cfg_name=net_env+'.sumocfg'
net_name=net_name
tls_id = SUMO_NET_CONFIG[FOLDER_NAME]['tls_id'] # 路口 id
#cfg_name = SUMO_NET_CONFIG[FOLDER_NAME]['sumocfg'] # sumo config
#net_name = SUMO_NET_CONFIG[FOLDER_NAME]['nets'][0] # network file
route_name = SUMO_NET_CONFIG[FOLDER_NAME]['routes'] # route file 用固定的第0个车流进行训练 1 2 3 4
start_time = SUMO_NET_CONFIG[FOLDER_NAME]['start_time'] # route 开始的时间
# 转换为文件路径
cfg_xml = pathConvert(f'./SumoNets/{FOLDER_NAME}/env/{cfg_name}')
net_xml = [pathConvert(f'./SumoNets/{FOLDER_NAME}/env/{net_name}')]
#route_xml = [pathConvert(f'./SumoNets/{FOLDER_NAME}/routes/{route_name}')]
route_params = dict() # 给每一个 route 生成一组参数
for _net in [net_name]:
for _route in SUMO_NET_CONFIG[FOLDER_NAME]['routes']:
_net_name = _net.split('.')[0] # 得到 NET 的名称
_route_name = _route.split('.')[0] # 得到车流
print('_net_name',_net_name,' _route_name',_route)
route_xml = [pathConvert(f'./SumoNets/{FOLDER_NAME}/routes/{_route}')]
route_output_folder = os.path.join(output_folder, f'{_net_name}/{_route_name}') # 模型输出文件夹
os.makedirs(route_output_folder, exist_ok=True) # 创建文件夹
trip_info = os.path.join(route_output_folder, f'tripinfo.out.xml')
statistic_output = os.path.join(route_output_folder, f'statistic.out.xml')
summary = os.path.join(route_output_folder, f'summary.out.xml')
queue_output = os.path.join(route_output_folder, f'queue.out.xml')
tls_add = [
# 探测器
pathConvert(f'./SumoNets/{FOLDER_NAME}/detectors/e1_internal.add.xml'),
pathConvert(f'./SumoNets/{FOLDER_NAME}/detectors/e2.add.xml'),
# 信号灯
pathConvert(f'./SumoNets/{FOLDER_NAME}/add/tls_programs.add.xml'),
pathConvert(f'./SumoNets/{FOLDER_NAME}/add/tls_state.add.xml'),
pathConvert(f'./SumoNets/{FOLDER_NAME}/add/tls_switch_states.add.xml'),
pathConvert(f'./SumoNets/{FOLDER_NAME}/add/tls_switches.add.xml')
]
env_dict = {
FOLDER_NAME: {
'cfg': pathConvert(f'./SumoNets/{FOLDER_NAME}/env/{cfg_name}'),
'net':[pathConvert(f'./SumoNets/{FOLDER_NAME}/env/{_net}')],
'route':[pathConvert(f'./SumoNets/{FOLDER_NAME}/routes/{_route}')]
}
}
params = {
'tls_id':tls_id,
'begin_time':start_time,
'num_seconds':4000,
'sumo_cfg':cfg_xml,
'net_files':net_xml,
'route_files':route_xml,
'trip_info':trip_info,
'statistic_output':statistic_output,
'summary':summary,
'queue_output':queue_output,
'tls_state_add':tls_add,
# 下面是数据增强的参数
'num_stack':N_STACK,
'num_delayed':N_DELAY,
# 下面是仿真器的参数
'is_libsumo':True,
'use_gui':False,
'min_green':5,
'log_file':LOG_PATH,
'env_dict':env_dict,
'mode':'eval'
}
_key = f'{_net_name}__{_route_name}'
route_params[_key] = params
return route_params