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06constraint.py
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06constraint.py
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import numpy as np
import re
from datetime import datetime
from tqdm import tqdm
import os
import time
from tools import general
@general.clock
def constraint_data(data_dir, data_name, distance_matrix_path, My_constrain_distant, opts, debuge=True):
list_non_distant_constraint = []
list_distant_constraint = []
if data_name == 'cairo':
list_non_distant_constraint = ['T']
list_distant_constraint = ['M']
elif data_name == 'kyoto7':
list_distant_constraint = ['M', 'D', 'A']
elif data_name == 'kyoto8':
list_non_distant_constraint = ['P', 'T']
list_distant_constraint = ['M', 'D']
elif data_name == 'kyoto11':
list_non_distant_constraint = ['P']
list_distant_constraint = ['M', 'D']
elif data_name == 'milan':
list_non_distant_constraint = ['T']
list_distant_constraint = ['M', 'D']
else:
print('The constraint you are preparing does not exist in the scheduled database, please check...')
exit(-1000)
list_OFF_state = ['OFF', 'CLOSE', 'ABSENT']
list_ON_state = ['ON', 'OPEN', 'PRESENT']
distance_int_normal = My_constrain_distant['normal']
distance_int_other = My_constrain_distant['other']
distance_int = 0
short_len = opts["datasets"]["short_len"]
print('dataset：%s, \t %s' % (data_dir, data_name))
list_activitydata = os.listdir(os.path.join(data_dir, data_name))
dictlist_activities = {}
dictlist_log = {}
int_original = 0
int_change = 0
# Load distance constraint matrix
distance_matrix = np.loadtxt(distance_matrix_path)
for str_activitydata in list_activitydata:
print('atcivity: %s' % (str_activitydata))
if str_activitydata == 'other':
distance_int = distance_int_other
else:
distance_int = distance_int_normal
with open(os.path.join(data_dir, data_name, str_activitydata), 'r') as fr:
lines = fr.readlines()
list_activities_lines = []
list_len_sensors = []
new_len = 0
static_short = 0
anterior_index = 0
anterior_sensor_on = ''
for i, line in enumerate(lines):
f_info = line.split()
if len(f_info) < 5:
int_change += new_len
anterior_sensor_on = ''
list_activities_lines.append(line)
list_len_sensors.append(
str(i - anterior_index) + ':' + str(new_len) + '\t')
if new_len < short_len:
static_short += 1
new_len = 0
anterior_index = i
else:
int_original += 1
if f_info[3][0] in list_non_distant_constraint:
list_activities_lines.append(line)
new_len += 1
use_sensor = ["AD1-A", "AD1-B", "AD1-C", "D001", "D002", "D003", "D004", "D005", "D006", "D007",
"D008", "D009", "D010", "D011", "D012", "D013", "D014", "D015", "I003",
"I006", "I010", "I011", "I012", "M001", "M002", "M003", "M004", "M005", "M006",
"M007", "M008", "M009", "M010", "M011", "M012", "M013", "M014", "M015", "M016",
"M017", "M018", "M019", "M020", "M021", "M022", "M023", "M024", "M025", "M026",
"M027", "M028", "M029", "M030", "M031", "M032", "M033", "M034", "M035", "M036",
"M037", "M038", "M039", "M040", "M041", "M042", "M043", "M044", "M045", "M046",
"M047", "M048", "M049", "M050", "M051"]
if f_info[3][0] in list_distant_constraint:
if f_info[3][0] == 'I':
print('here')
if anterior_sensor_on != '' and (f_info[4] in list_OFF_state):
current_sensor_on = f_info[3]
try:
anterior_sensor_on_id = int(distantmatrix.dict_sensor2id[anterior_sensor_on])
current_sensor_on_id = int(distantmatrix.dict_sensor2id[current_sensor_on])
except IndexError:
print('Current sensor not include in dict: %s / %s '
% (anterior_sensor_on_id, current_sensor_on_id))
distance_sensor = distance_matrix[anterior_sensor_on_id, current_sensor_on_id]
if distance_sensor < distance_int:
list_activities_lines.append(line)
new_len += 1
if f_info[4] in list_ON_state or f_info[3] in ['AD1-A', 'AD1-B', 'AD1-C']:
if anterior_sensor_on == '':
anterior_sensor_on = f_info[3]
list_activities_lines.append(line)
new_len += 1
continue
current_sensor_on = f_info[3]
try:
anterior_sensor_on_id = int(distantmatrix.dict_sensor2id[anterior_sensor_on])
current_sensor_on_id = int(distantmatrix.dict_sensor2id[current_sensor_on])
except IndexError:
print('Current sensor not include in dict:%s / %s '
% (anterior_sensor_on_id, current_sensor_on_id))
distance_sensor = distance_matrix[anterior_sensor_on_id, current_sensor_on_id]
if distance_sensor < distance_int:
anterior_sensor_on = current_sensor_on
list_activities_lines.append(line)
new_len += 1
dictlist_activities.update({str_activitydata: list_activities_lines})
dictlist_log.update({str_activitydata: list_len_sensors})
print('There are %d data lengths shorter than %d \n' % (static_short, short_len))
if debuge == False:
file_dir = os.path.join(data_dir, '..', 'constraintdata', str(distance_int_normal))
subdir = os.path.join(file_dir, data_name)
print('The path where the current operation is stored is: %s' % (subdir))
general.create_folder(subdir)
for activity_name in dictlist_activities:
with open(os.path.join(subdir, activity_name), 'w') as fw:
fw.writelines(dictlist_activities[activity_name])
# ----------------------------- log ----------------------------- #
log_dir = os.path.join(file_dir, 'log')
general.create_folder(log_dir)
log_name = data_name + '-log'
with open(os.path.join(log_dir, log_name), 'w') as fw:
for activity_name in dictlist_activities:
fw.writelines('\n\n%s: %d 个\n' % (activity_name, len(dictlist_log[activity_name])))
fw.writelines(dictlist_log[activity_name])
fw.writelines('\n\nold amount: %d \nnew amount: %d \nchange: %f \n' % (
int_original, int_change, (1 - int_change / int_original)))
print('success')
pass
if __name__ == '__main__':
opts = general.load_config()
for i in range(6):
My_constrain_distant = {}
My_constrain_distant['normal'] = i
My_constrain_distant['other'] = 999
if i==0:
My_constrain_distant['normal'] = 999
data_dir = os.path.join(opts["datasets"]["base_dir"], 'cutdata')
data_names = ['cairo', 'milan', 'kyoto7', 'kyoto8', 'kyoto11']
data_names = opts["datasets"]["names"]
for data_name in data_names:
if data_name == 'cairo':
import distantmatrix_cairo as distantmatrix
distance_matrix_path = os.path.join(opts["datasets"]["base_dir"], 'distant', 'cairo-distance_matrix.txt')
elif data_name == 'milan':
import distantmatrix_milan as distantmatrix
distance_matrix_path = os.path.join(opts["datasets"]["base_dir"], 'distant', 'milan-distance_matrix.txt')
else:
import distantmatrix_kyoto as distantmatrix
distance_matrix_path = os.path.join(opts["datasets"]["base_dir"], 'distant', 'kyoto-distance_matrix.txt')
constraint_data(data_dir, data_name, distance_matrix_path, My_constrain_distant, opts, debuge=False)
print('finish all')