<gh_stars>0
# To add a new cell, type '# %%'
# To add a new markdown cell, type '# %% [markdown]'
# %%
import datetime
import requests
import pandas as pd

class CryptoCompare:
    histohour = 'https://min-api.cryptocompare.com/data/v2/histohour'

    def __init__(self, fsym, tsym):
        self.fsym = fsym
        self.tsym = tsym

    def get_histohour(self, start_time='2017-04-01', end_time='2020-04-01', e='binance'):
        start_timestamp = datetime.datetime.strptime(start_time, '%Y-%m-%d').replace(tzinfo=datetime.timezone.utc).timestamp()
        end_timestamp = datetime.datetime.strptime(end_time, '%Y-%m-%d').replace(tzinfo=datetime.timezone.utc).timestamp()
        last_timestamp = end_timestamp + 1
        data = []

        while (last_timestamp > start_timestamp):
            params = {
                'fsym': self.fsym,
                'tsym': self.tsym,
                'e': e,
                'toTs': last_timestamp - 1,
                'limit': 2000
            }
            response = requests.get(self.histohour, params=params).json()
            last_timestamp = response['Data']['TimeFrom']
            data = response['Data']['Data'] + data

        df = pd.DataFrame(data)
        df = df[df.time >= start_timestamp]
        df['datetime'] = pd.to_datetime(df['time'],unit='s')
        df.drop(columns=['time', 'conversionType', 'conversionSymbol'], inplace=True)
        df.rename(columns={'volumefrom': 'volume', 'volumeto': 'baseVolume'}, inplace=True)
        df.to_csv('./histohour.csv', index=False)


# %%
cryto_compare = CryptoCompare('BTC', 'USDT')
cryto_compare.get_histohour()


