fetch_historical_data_alice_blue

import json
from datetime import datetime
from time import time, ctime
import pandas as pd
import requests
# from login import *

from data.get_cookies import GetCookies
from indicators.indicators import SuperTrend
from order.AliceBlueClient import AliceBlueClient


class GetHistoricalData:

    def __init__(self):
        pass

    def get_live_data_by_instrument_token(self, token, candle_type = 1):
        start_time = 1580022709
        current_time = int(time())
        candle_type = candle_type
        data_type = "live"
        return self.get_data_by_instrument_token(token, start_time, current_time, candle_type, data_type)

    def get_historical_data_by_instrument_token(self, token, start_time, end_time, candle_type):
        data_type = "historical"
        return self.get_data_by_instrument_token(token, start_time, end_time, candle_type, data_type)

    def get_data_by_instrument_token(self, token, start_time, end_time, candle_type, data_type):
        exchange = "NFO"
        access_token_hist = open('access_token.txt', 'r').read().rstrip()
        headers = {
            'authority': 'ant.aliceblueonline.com',
            'accept': '*/*',
            'x-authorization-token': access_token_hist,
            'x-requested-with': 'XMLHttpRequest',
        }

        params = f'exchange={exchange}&token={token}&candletype=1&starttime={start_time}&endtime={end_time}&type={data_type}&data_duration={candle_type}'

        response = requests.get('https://ant.aliceblueonline.com/api/v1/charts', headers=headers, params=params)
        jso = response.text
        conv = json.loads(jso)
        if (conv['status'] == 'error'):
            GetCookies.refresh_cookie()
            response = requests.get('https://ant.aliceblueonline.com/api/v1/charts', headers=headers, params=params)
            jso = response.text
            conv = json.loads(jso)

        datas = conv['data']

        feeddata = []
        for data in datas:
            sec = data[0]
            t = ctime(sec)
            t2 = datetime.fromtimestamp(sec)
            opn = data[1] / 100
            hig = data[2] / 100
            lo = data[3] / 100
            clo = data[4] / 100
            vol = data[5]
            feed = {"Date1": t,"Date":t2 , "open": opn, "high": hig, "low": lo, "close": clo, "volume": vol}
            feeddata.append(feed)

        datafm = pd.DataFrame(feeddata)
        return datafm

#
# alice = AliceBlueClient().getAliceBlueObject()
# exchange = "NFO"
# symbol = "BANKNIFTY 04 FEB21 34100.0 PE"
# # Instrument(exchange='NFO', token=57982, symbol='BANKNIFTY 04 FEB21 34100.0 PE', name='',
# #            expiry=datetime.date(2021, 2, 4), lot_size='25'),
#
# tokens = alice.get_instrument_by_symbol(exchange, symbol)

a = GetHistoricalData(None).get_live_data_by_instrument_token(46488,candle_type=2)
print(a)