Created
September 20, 2021 09:25
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import awswrangler as wr | |
from datetime import date | |
import logging | |
import pandas as pd | |
from pandas_datareader.data import DataReader | |
class StockDataETLRunner: | |
def __init__( | |
self, | |
ticker_symbol: str, | |
dataset_name: str = "stock_market_data", | |
start_date: date = date(2021, 9, 1), | |
) -> None: | |
self.ticker_symbol = ticker_symbol | |
self.dataset_name = dataset_name | |
self.start_date = start_date | |
self._logger = logging.getLogger(type(self).__name__) | |
def extract(self) -> pd.DataFrame: | |
return DataReader( | |
name=self.ticker_symbol, | |
data_source="av-daily", | |
start=self.start_date, | |
end=date.today(), | |
) | |
def transform(self, df: pd.DataFrame) -> pd.DataFrame: | |
df["ticker_symbol"] = self.ticker_symbol | |
return df | |
def load_to_data_lake(self, df: pd.DataFrame) -> None: | |
wr.s3.to_parquet( | |
df, | |
index=True, | |
dataset=True, | |
mode="append", | |
database="default", | |
table=self.dataset_name, | |
path=f"s3://data-lake-bronze/{self.dataset_name}/{self.ticker_symbol}", | |
) | |
self._logger.info( | |
"%s data with %d rows successfully loaded to data lake table: %s", | |
self.ticker_symbol, | |
len(df), | |
self.dataset_name, | |
) | |
def run_etl(self): | |
df = self.extract() | |
df = self.transform(df) | |
self.load_to_data_lake(df) | |
if __name__ == "__main__": | |
logging.basicConfig( | |
format="%(asctime)s - [%(levelname)s] - %(name)s: %(message)s", level="INFO" | |
) | |
for ticker_symbol_ in ["AAPL", "MSFT", "GOOGL", "TSLA"]: | |
StockDataETLRunner(ticker_symbol_).run_etl() |
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