def transform_split_adjusted()

in src/backend/domain/data_providers/alpha_vantage.py [0:0]

• 29 lines of code
• 2 McCabe index (conditional complexity)

    def transform_split_adjusted(self, timeseries: Dict[str, Any]) -> Tuple[List[Dict[str, Any]], List[Dict[str, Any]]]:
        not_adjsuted_series = timeseries["values"]
        not_adjsuted_series.reverse()

        split_adj_factor = 1
        split_coef = 1

        adjusted_series = []
        adjusted_dividends = []

        for entry in not_adjsuted_series:
            split_adj_factor = split_adj_factor / split_coef
            split_coef = entry["split_coef"]

            adjusted_series.append(
                {
                    "datetime": entry["datetime"],
                    "open": entry["open"] * split_adj_factor,
                    "high": entry["high"] * split_adj_factor,
                    "low": entry["low"] * split_adj_factor,
                    "close": entry["close"] * split_adj_factor,
                    "volume": entry["volume"] / split_adj_factor,
                }
            )

            adjusted_dividends.append(
                {
                    "ex_date": entry["datetime"],
                    "amount": entry["dividends_amount"] * split_adj_factor,
                }
            )

        adjusted_series.reverse()
        adjusted_dividends.reverse()

        return adjusted_series, adjusted_dividends