def create(identifier: str, value: str, description: str) -> None:
configuration: ConfigurationEntity = ConfigurationEntity()
Utils.set_attributes(configuration,
identifier=identifier,
value=value,
description=description)
DAO.persist(configuration)
def update(portfolio: Tuple[Optional[str]]) -> None:
for ticker in portfolio:
stock: StockEntity = StockEntity()
Utils.set_attributes(stock,
ticker=ticker,
isin=StockBO.isin(ticker))
DAO.persist(stock)
def create(summation: Decimal, funds: str, attempt: AttemptDTO) -> None:
evaluation: EvaluationEntity = EvaluationEntity()
evaluation.timestamp = Utils.now()
evaluation.sum = str(summation)
evaluation.funds = funds
Utils.set_attributes(evaluation, amount_buy=str(attempt.amount_buy), distance_buy=str(attempt.distance_buy),
delta_buy=str(attempt.delta_buy), amount_sell=str(attempt.amount_sell),
distance_sell=str(attempt.distance_sell), delta_sell=str(attempt.delta_sell))
DAO.persist(evaluation)
def create_from_file(content: str) -> None:
rows = json.loads(content)
for row in rows:
intraday: IntradayEntity = IntradayEntity()
Utils.set_attributes(intraday,
date=datetime.fromisoformat(row['date']),
open=Decimal(row['open']),
high=Decimal(row['high']),
low=Decimal(row['low']),
close=Decimal(row['close']),
volume=Decimal(row['volume']),
ticker=row['ticker'])
DAO.persist(intraday)
def create_ticker(ticker: str) -> None:
try:
time_series = TimeSeries(key=os.environ.get('ALPHA_VANTAGE'),
output_format='pandas')
frame, meta_data = time_series.get_intraday(symbol=ticker.replace(
'.', '-'),
outputsize='full')
frame = frame.reset_index()
for index, row in frame.iterrows():
intraday = IntradayDAO.init(row, ticker,
meta_data['6. Time Zone'])
DAO.persist(intraday)
except ValueError as e:
logging.exception(e)