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data_transformation.py
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data_transformation.py
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import os
import pandas as pd
import datetime as dt
class CryptoDataTransformer:
def __init__(self):
self.currenct_dir = os.getcwd()
self.raw_data_path = os.path.join(self.currenct_dir, 'data')
self.transformed_data_path = os.path.join(self.currenct_dir, 'transformed_dataa')
self.raw_data = {
'CryptosTable': None, # a single table
'CryptosHistoricalTables': [], # list of tables
}
self.transformed_data = {
'Cryptocurrencies': None,
'Tags': None,
'CryptoTag': None,
'Dates': None,
'CryptoPriceTypes': None,
'CryptoDailyHistory': None,
'CryptoPriceTimes': None,
'CryptoHistoricalPrices': None,
}
self.cryptocurrencies = pd.DataFrame(columns = [
'crypto_id',
'crypto_name',
'symbol',
'main_link',
'historical_link',
'github_link',
'rnk',
])
self.tags = pd.DataFrame(columns = [
'tag_id',
'tag_name',
])
self.crypto_tag = pd.DataFrame(columns = [
'crypto_id',
'tag_id',
])
self.dates = pd.DataFrame(columns = [
'date_id',
'date',
])
self.crypto_price_types = pd.DataFrame({
'crypto_price_type_id': [1, 2, 3, 4],
'crypto_price_type_name': ['Open', 'Close', 'High', 'Low'],
})
self.crypto_daily_history = pd.DataFrame(columns = [
'crypto_daily_id',
'crypto_id',
'date_id',
'market_cap',
'volume',
'circulating_supply',
])
self.crypto_price_times = pd.DataFrame(columns = [
'crypto_price_time_id',
'crypto_daily_id',
'crypto_price_type_id',
'crypto_price_time',
])
self.crypto_historical_prices = pd.DataFrame(columns = [
'id',
'crypto_price_time_id',
'crypto_price',
])
def read_raw_data(self, data_path=None):
self.raw_data['CryptosTable'] = pd.read_csv(os.path.join(self.raw_data_path, 'Coins.csv'))
file_name_template = '{}_9_5_2022-9_5_2023_historical_data_coinmarketcap.csv'
path_template = os.path.join(self.raw_data_path, file_name_template)
self.raw_data['CryptosHistoricalTables'] = []
for _, row in self.raw_data['CryptosTable'].iterrows():
path = path_template.format(row['Name'])
crypto_historical_table = pd.read_csv(path, delimiter=';')
self.raw_data['CryptosHistoricalTables'].append(crypto_historical_table)
def write_transformed_data(self, data_path=None):
if not os.path.exists(self.transformed_data_path):
os.makedirs(self.transformed_data_path)
for table_name in self.transformed_data:
path = os.path.join(self.transformed_data_path, "{}.csv".format(table_name))
self.transformed_data[table_name].to_csv(path, index=False)
def transform(self):
self.__transfrom_to_cryptocurrencies()
self.__transform_to_tags()
self.__transform_to_crypto_tag()
self.__transform_to_dates()
self.__transfrom_to_crypto_price_types()
self.__transform_to_crypto_daily_history()
self.__transform_to_crypto_price_times()
self.__transform_to_crypto_historical_prices()
def get_transformed_data(self):
return self.transformed_data
def get_cryptocurrencies(self):
if self.cryptocurrencies.empty:
self.__transfrom_to_cryptocurrencies()
return self.cryptocurrencies
def get_tags(self):
if self.tags.empty:
self.__transform_to_tags()
return self.tags
def get_crypto_tag(self):
if self.crypto_tag.empty:
self.__transform_to_crypto_tag()
return self.crypto_tag
def get_dates(self):
if self.dates.empty:
self.__transform_to_dates()
return self.dates
def get_crypto_price_types(self):
if self.crypto_price_types.empty:
self.__transfrom_to_crypto_price_types()
return self.crypto_price_types
def get_crypto_daily_history(self):
if self.crypto_daily_history.empty:
self.__transform_to_crypto_daily_history()
return self.crypto_daily_history
def get_crypto_price_times(self):
if self.crypto_price_times.empty:
self.__transform_to_crypto_price_times()
return self.crypto_price_times
def get_crypto_historical_prices(self):
if self.crypto_historical_prices.empty:
self.__transform_to_crypto_historical_prices()
return self.crypto_historical_prices
def __transfrom_to_cryptocurrencies(self):
cryptocurrencies_data = []
for index, row in self.raw_data['CryptosTable'].iterrows():
cryptocurrencies_data_row = (
index + 1,
row['Name'],
row['Symbol'],
row['MainLink'],
row['HistoricalLink'],
row['github_link'],
row['Rank']
)
cryptocurrencies_data.append(cryptocurrencies_data_row)
self.cryptocurrencies = pd.DataFrame(
cryptocurrencies_data,
columns=self.cryptocurrencies.columns
)
self.transformed_data['Cryptocurrencies'] = self.cryptocurrencies
def __transform_to_tags(self):
tag_names = []
for index, row in self.raw_data['CryptosTable'].iterrows():
tag_names += eval(row['tags'])
tag_names = list(set(tag_names))
tags_data = []
for i, tag_name in enumerate(tag_names):
tags_data_row = (
i + 1,
tag_name
)
tags_data.append(tags_data_row)
self.tags = pd.DataFrame(tags_data, columns=self.tags.columns)
self.transformed_data['Tags'] = self.tags
def __transform_to_crypto_tag(self):
crypto_tag_data = []
for index, row in self.raw_data['CryptosTable'].iterrows():
for tag_name in eval(row['tags']):
crypto_tag_data_row = (
index + 1,
self.tags.loc[self.tags['tag_name'] == tag_name, 'tag_id'].values[0],
)
crypto_tag_data.append(crypto_tag_data_row)
self.crypto_tag = pd.DataFrame(crypto_tag_data, columns=self.crypto_tag.columns)
self.transformed_data['CryptoTag'] = self.crypto_tag
def __transform_to_dates(self):
dates_data = []
for index, row in self.raw_data['CryptosHistoricalTables'][0].iterrows():
date = dt.datetime.strptime(row['timeOpen'][:-1], '%Y-%m-%dT%H:%M:%S.%f').date()
dates_data_row = (
index + 1,
date,
)
dates_data.append(dates_data_row)
self.dates = pd.DataFrame(dates_data, columns=self.dates.columns)
self.transformed_data['Dates'] = self.dates
def __transfrom_to_crypto_price_types(self):
self.transformed_data['CryptoPriceTypes'] = self.crypto_price_types
def __transform_to_crypto_daily_history(self):
crypot_daily_id = 0
crypto_daily_history_data = []
for crypto_index, _ in self.raw_data['CryptosTable'].iterrows():
for history_index, history_row in self.raw_data['CryptosHistoricalTables'][crypto_index].iterrows():
crypot_daily_id += 1
crypto_daily_history_data_row = (
crypot_daily_id,
crypto_index + 1,
history_index + 1,
history_row['marketCap'],
history_row['volume'],
None, # histoery_row['circulatingSupply'],
)
crypto_daily_history_data.append(crypto_daily_history_data_row)
self.crypto_daily_history = pd.DataFrame(
crypto_daily_history_data,
columns=self.crypto_daily_history.columns,
)
self.transformed_data['CryptoDailyHistory'] = self.crypto_daily_history
def __transform_to_crypto_price_times(self) -> None:
crypot_daily_id = 0
crypto_price_time_id = 0
crypto_price_times_data = []
for crypto_index, _ in self.raw_data['CryptosTable'].iterrows():
for _, history_row in self.raw_data['CryptosHistoricalTables'][crypto_index].iterrows():
crypot_daily_id += 1
for price_types_index, price_types_row in self.transformed_data['CryptoPriceTypes'].iterrows():
crypto_price_type_id = price_types_index + 1
crypto_price_time_id += 1
price_type = price_types_row['crypto_price_type_name']
crypto_price_time = dt.datetime.strptime(history_row['time' + price_type][:-1], '%Y-%m-%dT%H:%M:%S.%f').time()
crypto_price_times_data_row = (
crypto_price_time_id,
crypot_daily_id,
crypto_price_type_id,
crypto_price_time
)
crypto_price_times_data.append(crypto_price_times_data_row)
self.crypto_price_times = pd.DataFrame(
crypto_price_times_data,
columns=self.crypto_price_times.columns
)
self.transformed_data['CryptoPriceTimes'] = self.crypto_price_times
def __transform_to_crypto_historical_prices(self):
crypto_price_time_id = 0
crypto_historical_prices_id = 0
crypto_historical_prices_data = []
for crypto_index, _ in self.raw_data['CryptosTable'].iterrows():
for _, history_row in self.raw_data['CryptosHistoricalTables'][crypto_index].iterrows():
for _, price_types_row in self.transformed_data['CryptoPriceTypes'].iterrows():
crypto_price_time_id += 1
price_type = price_types_row['crypto_price_type_name']
crypto_historical_prices_id += 1
crypto_price = history_row[price_type.lower()]
crypto_historical_prices_data_row = (
crypto_historical_prices_id,
crypto_price_time_id,
crypto_price,
)
crypto_historical_prices_data.append(crypto_historical_prices_data_row)
self.crypto_historical_prices = pd.DataFrame(
crypto_historical_prices_data,
columns=self.crypto_historical_prices.columns,
)
self.transformed_data['CryptoHistoricalPrices'] = self.crypto_historical_prices
def main():
cdt = CryptoDataTransformer()
cdt.read_raw_data()
cdt.transform()
cdt.write_transformed_data()
if __name__ == '__main__':
main()