mainCSV.py

# import time
# import pandas as pd
#
# from source.crypto_scraper_csv import interval_to_scrape, data_obtainer
#
#
# def main(day1):
#     """
#     Pipeline to execute the functions from the source.crypto_scraper script.
#
#     Arguments:
#     ----------
#         crypto {[str]} -- crypto we are interested in collecting data.
#         day1 {[str]} -- date from which we want to start to collect data.
#
#     Returns:
#     --------
#         {[gzip]}
#             File containing the data for the desired crypto and the desired dates.
#
#     """
#
#     cryptos = pd.read_csv(f'https://s3-eu-west-1.amazonaws.com/public.bitmex.com/data/trade/{day1}.csv.gz')
#
#     print('\n\nChoose from the list below the cryptocurrency pair you are interested:\n', cryptos['symbol'].unique())
#     crypto = str(input()).upper()
#
#     print('Preparing your data...')
#     dates = interval_to_scrape(day1)
#     print('Charging first csv...')
#     pd.DataFrame(data_obtainer(dates[:500], crypto, 'data1gzip'))
#     time.sleep(15)
#     print('Charging second csv...')
#     pd.DataFrame(data_obtainer(dates[500:1000], crypto, 'data2gzip'))
#     print('Charging third csv...')
#     time.sleep(15)
#     pd.DataFrame(data_obtainer(dates[1000:1500], crypto, 'data3gzip'))
#     print('Charging fourth csv...')
#     time.sleep(15)
#     pd.DataFrame(data_obtainer(dates[1500:], crypto, 'data4gzip'))