How to use the pyupbit.get_ohlcv function in pyupbit

while True:
    now = datetime.datetime.now()

    # 매도 (08:50:00~08:50:10)
    if now.hour == 8 and now.minute == 50 and (0 <= now.second <= 10):
        if hold is True:
            coin_size = upbit.get_balance(TICKER)
            upbit.sell_market_order(TICKER, coin_size)
            hold = False
            break_out_range = None  # 다음 목표가 갱신까지 매수되지 않도록

        time.sleep(10)

    # 목표가 갱신 (09:01:00~09:01:10)
    if now.hour == 9 and now.minute == 1 and (0 <= now.second <= 10):
        df = pyupbit.get_ohlcv(TICKER)
        k = noise.get_average_noise_ratio(df)
        break_out_range = larry.get_break_out_range(df, k)
        betting_ratio = betting.get_betting_ratio(df, break_out_range, NUM_COINS)

        # 정상적으로 break out range를 얻은 경우
        if break_out_range is not None and betting_ratio is not None:
            time.sleep(10)

    # 매수 시도
    cur_price = pyupbit.get_current_price(TICKER)
    if hold is False and cur_price is not None and break_out_range is not None and cur_price >= break_out_range:
        krw_balance = upbit.get_balance(FIAT)
        upbit.buy_market_order(TICKER, krw_balance * betting_ratio)
        hold = True

    # 상태 출력

if date in df.index:
            today = df.iloc[-1]
            yesterday = df.iloc[-2]
            gap = yesterday['high'] - yesterday['low']
            break_out_range = today['open'] + gap * k
            return break_out_range
        else:
            return None
    except:
        return None


if __name__ == "__main__":
    ticker = "KRW-BTC"
    df = pyupbit.get_ohlcv(ticker)
    break_out_range = get_break_out_range(df)
    print(break_out_range)