Websocket some token in the subscription list unsubscribe on its own

import cPickle as pickle
from kiteconnect import WebSocket
import time
from datetime import datetime
from Queue import Queue,LifoQueue
from threading import Thread
import pandas as pd
import MySQLdb
df = pd.DataFrame()

q =LifoQueue(maxsize=10)
#max size is to ensure that the program is not running even after the WebSocket has broken for long
#tickData = 0

# Initialise.
kws = WebSocket("*****", "******", "*****", reconnect=True)

# Callback for tick reception.
def on_tick(tick, ws):
        tick.append(datetime.now())
        q.put(tick)
        #tickdata = tick
        #time.sleep(10)

# Callback for successful connection.
def on_connect(ws):
        # Subscribe to a list of instrument_tokens (RELIANCE and ACC here).
        listSubscription = [134657, 1629185, 895745, 3924993, 348929, 758529, 359937, 784129, 3001089, 415745, 2796801, 356865, 140033]
        ws.subscribe(listSubscription)

        # Set RELIANCE to tick in `full` mode.
        ws.set_mode(ws.MODE_QUOTE, listSubscription)

def on_close(ws):
        print("closed")

def on_error(error,ws):
        print("error")

# Assign the callbacks.
kws.on_tick = on_tick
kws.on_connect = on_connect
kws.on_close = on_close
kws.on_error = on_error

# Assign the callbacks.
kws.on_tick = on_tick
kws.on_connect = on_connect

kws.enable_reconnect(reconnect_interval=5, reconnect_tries=50)

# Infinite loop on the main thread. Nothing after this will run.
# You have to use the pre-defined callbacks to manage subscriptions.
kws.connect(threaded = True)
test = {}
data_instrument_token = pd.DataFrame(columns = ['last_price','timeStamp','ratiobuysell'] )
#data = {738561:{'last_price':[],'timeStamp':[]}}
#data_instrument_token.set_index('timeStamp')
ltpDict = {134657:0, 1629185:0, 895745:0, 3924993:0, 348929:0, 758529:0, 359937:0, 784129:0, 3001089:0, 415745:0, 2796801:0, 356865:0, 140033:0}
test['universe'] ={134657: 'BPCL', 1629185: 'NATIONALUM', 895745: 'TATASTEEL', 3924993: 'NMDC', 348929: 'HINDALCO', 758529: 'SAIL', 359937: 'HINDPETRO', 784129: 'VEDL', 3001089: 'JSWSTEEL', 415745: 'IOC', 2796801: 'GODREJIND', 356865: 'HINDUNILVR', 140033: 'BRITANNIA'}
                                                                                                                                                                                          1,1           ratiobuysell = 0
i=0
#A Pandas Thread
while True:

        a = q.get()

        for j in range(0,len(a)-1):

           #data_instrument_token.set_value(i,'last_price',a[j]['last_price'])
           #data_instrument_token.set_value(i,'instrument_token',a[j]['instrument_token'])
           #data_instrument_token.set_value(i,'timeStamp',a[len(a)-1])
           if a[j]['sell_quantity'] > 0:
                ratiobuysell = int(float(a[j]['buy_quantity'])*100/a[j]['sell_quantity'])
           print a[len(a)-1]
           args = (a[j]['instrument_token'],a[j]['last_price'],a[len(a)-1], ratiobuysell)
           sql = "INSERT INTO tickData(token,close,date,ratiobuysell)"" VALUES(%s,%s,%s,%s)"
           conn = MySQLdb.connect(host="****", user="****", passwd="****", db="****")
           cursor = conn.cursor()
           dataDb = cursor.execute(sql,args)
           ltpDict[a[j]['instrument_token']]=a[j]['last_price']
           conn.commit()

           query = """ UPDATE stocksData
                SET BPCL = %s,NATIONALUM = %s,TATASTEEL = %s,NMDC = %s,HINDALCO = %s,SAIL = %s,HINDPETRO = %s,VEDL = %s,JSWSTEEL = %s,IOC  = %s, GODREJIND = %s,HINDUNILVR = %s,BRITANNIA = %s,date = %s
                WHERE fieldInfo = "LastTradedPrice"; """
           dataLTP = (ltpDict[134657],ltpDict[1629185],ltpDict[895745],ltpDict[3924993],ltpDict[348929],ltpDict[758529],ltpDict[359937],ltpDict[784129],ltpDict[3001089],ltpDict[415745],ltpDict[2796801],ltpDict[356865],ltpDict[140033],a[len(a)-1])
           dataDb = cursor.execute(query,dataLTP)
           conn.commit()
           conn.close()
           i = i + 1