# from socketIO_client import SocketIO, BaseNamespace
# class MsgNamespace(BaseNamespace):
# def on_stat_response(self, *args):
# print('on_stat_response', args)
# socketIO = SocketIO('localhost', 3000)
# msg_namespace = socketIO.define(BaseNamespace, '/fromremote')
# msg_namespace.emit('sensor_msg', {'sensor': 1, 'activity': 6})
# socketIO.wait(seconds=10)
from RBConnection import RBConnection
con = RBConnection('S1', 'localhost', 3000)
con.send({'sensor': 1, 'activity': 6})
con.wait(2)
#extract data from the input file
f = open('/home/pi/Desktop/lights/sg_1/pro/input.txt',"r")
lines = f.readlines()
results = re.findall('=([\d.]+)',lines[0])
results2 = re.findall('=([\d.]+)',lines[2])
config=map(float,results)
#assign extracted values for each variables
[resX,resY,frameRate,minThresh,maxTresh,minArea,maxArea]=[ int(config[0]),int(config[1]),float(config[2]),float(config[3]), float(config[4]),float(config[5]),float(config[6])]
[minCir,minConv,minInert,LR,Move_low,Move_high]=[float(config[7]),float(config[8]),float(config[9]),float(config[10]),float(config[11]),float(config[12]) ]
[X_low,X_high,Y_low,Y_high,keyA,ID,check,port]=[ int(config[13]),int(config[14]),int(config[15]),int(config[16]),int(config[17]),int(config[18]),int(config[19]),int(config[20])]
IP=results2[0]
#connection
con = RBConnection('ID', IP, port)
#camera configuration
camera = PiCamera()
camera.resolution = (resX,resY)
camera.framerate = frameRate
rawCapture = PiRGBArray(camera, size= (resX,resY) )
#image filtering
kernel = cv2.getStructuringElement(cv2.MORPH_RECT,(5,5))
#background substraction
fgbg = cv2.BackgroundSubtractorMOG2()
#set up parameters for blob detection
params = cv2.SimpleBlobDetector_Params()
