from datetime import datetime, date, timedelta import click import yfinance as yf from service.App import * """ Download quotes from Yahoo """ @click.command() @click.option('--config_file', '-c', type=click.Path(), default='', help='Configuration file name') def main(config_file): """ """ load_config(config_file) time_column = App.config["time_column"] data_path = Path(App.config["data_folder"]) now = datetime.now() data_sources = App.config["data_sources"] for ds in data_sources: # Assumption: folder name is equal to the symbol name we want to download quote = ds.get("folder") if not quote: print(f"ERROR. Folder is not specified.") continue # If file name is not specified then use symbol name as file name file = ds.get("file", quote) if not file: file = quote print(f"Start downloading '{quote}' ...") file_path = data_path / quote file_path.mkdir(parents=True, exist_ok=True) # Ensure that folder exists file_name = (file_path / file).with_suffix(".csv") if file_name.is_file(): df = pd.read_csv(file_name, parse_dates=[time_column], date_format="ISO8601") #df['Date'] = pd.to_datetime(df['Date'], format="ISO8601") # "2022-06-07" iso format df[time_column] = df[time_column].dt.date last_date = df.iloc[-1][time_column] # === Download from the remote server new_df = yf.download(quote, last_date - timedelta(days=5)) # Download somewhat more than we need new_df = new_df.reset_index() new_df['Date'] = pd.to_datetime(new_df['Date'], format="ISO8601").dt.date del new_df['Close'] new_df.rename({'Adj Close': 'Close', 'Date': time_column}, axis=1, inplace=True) new_df.columns = new_df.columns.str.lower() df = pd.concat([df, new_df]) df = df.drop_duplicates(subset=[time_column], keep="last") else: print(f"File not found. Full fetch...") # === Download from the remote server df = yf.download(quote, date(1990, 1, 1)) df = df.reset_index() df['Date'] = pd.to_datetime(df['Date'], format="ISO8601").dt.date del df['Close'] df.rename({'Adj Close': 'Close', 'Date': time_column}, axis=1, inplace=True) df.columns = df.columns.str.lower() print(f"Full fetch finished.") df = df.sort_values(by=time_column) df.to_csv(file_name, index=False) print(f"Stored in '{file_name}'") elapsed = datetime.now() - now print(f"Finished downloading data in {str(elapsed).split('.')[0]}") return df if __name__ == '__main__': main()