from binance.client import Client
import glob
import pandas as pd
import pytz
import datetime
import urllib3

def convert_datetime_timezone(dt, tz1, tz2):
    tz1 = pytz.timezone(tz1)
    tz2 = pytz.timezone(tz2)
    dt  = datetime.datetime.strptime(dt,'%Y-%m-%d %H:%M:%S')
    dt  = tz1.localize(dt)
    dt  = dt.astimezone(tz2)
    dt  = dt.strftime('%Y-%m-%d %H:%M:%S')
    return dt

def scrap_binance_price(sym, interval, start_date, OUTPUT_PATH):
    """
    sym: Ticker symbol of the asset - e.g: BTCUSDT
    interval: the interval range for candles - e.g. 1m 10m 4h
    unit: start date
    
    """
    start_date += " ACDT"
    api_key = 'LKa422RMjzx2tsXESIoSQ5qJzqi7LaC7iDFf9qdSrYjhJrZ6a8CcvOdniJWtfX13'
    api_secret = 'EvomPthpqwgTjeuqYFWBQM9HtE52Zeq6SuKrZSROqhd8g2tvbz086zVZqbbJGxsZ'

    client = Client(api_key, api_secret, {"verify": False, "timeout": 20})
    klines = client.get_historical_klines(sym, interval, start_date)[:-1]
    bnb_klines = client.get_historical_klines("BNBUSDT", interval, start_date)[:-1]

    data = pd.DataFrame()
    tradingdate = []
    openprice = []
    highprice = []
    lowprice = []
    closeprice = []
    bnbprice = []
    for i in range(len(klines)):
        time = datetime.datetime.utcfromtimestamp(klines[i][0] / 1000).strftime('%Y-%m-%d %H:%M:%S')
        local_time = convert_datetime_timezone(time, 'UTC', 'Australia/Adelaide')
        tradingdate.append(local_time)
        openprice.append(float(klines[i][1]))
        highprice.append(float(klines[i][2]))
        lowprice.append(float(klines[i][3]))
        closeprice.append(float(klines[i][4]))
        bnbprice.append(float(bnb_klines[i][4]))
    data['datetime'] = tradingdate
    data['low'] = lowprice
    data['high'] = highprice
    data['open'] = openprice
    data['close'] = closeprice
    data['bnb_price'] = bnbprice
    data.reset_index(drop=True, inplace=True)
    data.to_csv(OUTPUT_PATH)
    return data

# a = scrap_binance_price("BTCUSDT", "4h", "1 August, 2020", "a.csv")

import jovian
jovian.commit(project="bitbotboom-scrape-price-data", environment=None, filename="/home/ec2-user/SageMaker/Renko Simulation/scrape_price_data.ipynb", message="Added Adelaide Timezone support")