from collections import deque
from logging import getLogger

import numpy as np
from scipy import signal

bg_dim = 10

bg1_deq = deque([],bg_dim)
bg2_deq = deque([],bg_dim)
bg3_deq = deque([],bg_dim)


initialized = False



def process(data, pulse_id, timestamp, params):
   ch0 = data["SATES30-LSCP10-FNS:CH0:VAL_GET"]
   ch1 = data["SATES30-LSCP10-FNS:CH1:VAL_GET"]
   ch2 = data["SATES30-LSCP10-FNS:CH2:VAL_GET"]
   ch3 = data["SATES30-LSCP10-FNS:CH3:VAL_GET"]
   evt = data["SAT-CVME-TIFALL5:EvtSet"][154]

  
   
   if evt==1:
     bg1_deq.append(ch1)
     bg2_deq.append(ch2)
     bg3_deq.append(ch3)

   
   bg1  = np.mean(np.array(bg1_deq))
   bg2  = np.mean(np.array(bg2_deq))
   bg3  = np.mean(np.array(bg3_deq))

   
   sig1 = ch1/bg1 -1
   sig2 = ch2/bg2 -1
   sig3 = ch3/bg3 -1
   
   
   ret = {}
   ret["ch1"] = ch1
   ret["ch2"] = ch2
   ret["ch2"] = ch3
   ret["evt"] = evt
   ret["bg1"]  = bg1
   ret["bg2"]  = bg2
   ret["bg3"]  = bg3
   ret["sig1"] = sig1
   ret["sig2"] = sig2
   ret["sig3"] = sig3
   
   return ret