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import numpy as np
import pickle
import copy
def get_time(s):
s=s.split()[-1]
s=s.split(":")
h=float(s[0])
m=float(s[1])
t=float(s[2])
total=h*3600+m*60+t
return h,m,t,total
gap=1
length=gap*100
pad=[-1000]*52
action_list=[]
people_list=[]
timestamp=[]
magnitudes=[]
phases=[]
loacl_gap=10000
with open("./csi_data.pkl", 'rb') as f:
csi = pickle.load(f)
for data in csi:
csi_time=data['csi_time']
local_time=data['csi_local_time']
magnitude=data['magnitude']
phase=data['phase']
people=data['volunteer_id']
action=data['action_id']
start_time=None
last_local=None
current_magnitude=[]
current_phase=[]
current_timestamp=[]
for i in range(len(csi_time)):
_, _, _, current_time = get_time(csi_time[i])
if start_time is None or current_time-start_time>gap:
if start_time is not None:
if len(current_magnitude)>=length:
current_magnitude=current_magnitude[:length]
current_phase=current_phase[:length]
current_timestamp=current_timestamp[:length]
else:
add=length-len(current_magnitude)
delta=(current_timestamp[0]+length*loacl_gap-current_timestamp[-1])/add
for j in range(add):
current_magnitude.append(pad)
current_phase.append(pad)
current_timestamp.append(current_timestamp[-1]+delta)
magnitudes.append(copy.deepcopy(current_magnitude))
phases.append(copy.deepcopy(current_phase))
timestamp.append(copy.deepcopy(current_timestamp))
action_list.append(action)
people_list.append(people)
current_magnitude = []
current_phase = []
current_timestamp = []
start_time=current_time
last_local=local_time[i]
current_magnitude.append(magnitude[i])
current_phase.append(phase[i])
current_timestamp.append(local_time[i])
else:
local = local_time[i]
num=round((local-last_local-loacl_gap)/loacl_gap)
if num>0:
delta=(local-last_local)/(num+1)
for j in range(num):
current_magnitude.append(pad)
current_phase.append(pad)
current_timestamp.append(current_timestamp[-1] + delta)
current_magnitude.append(magnitude[i])
current_phase.append(phase[i])
current_timestamp.append(local_time[i])
last_local=local
action_list=np.array(action_list)
people_list=np.array(people_list)
timestamp=np.array(timestamp)
magnitudes=np.array(magnitudes)
phases=np.array(phases)
print(action_list.shape)
print(people_list.shape)
print(timestamp.shape)
print(magnitudes.shape)
print(phases.shape)
np.save("./magnitude.npy", np.array(magnitudes))
np.save("./phase.npy", np.array(phases))
np.save("./action.npy", np.array(action_list))
np.save("./people.npy", np.array(people_list))
np.save("./timestamp.npy", np.array(timestamp))
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