Add some additional robustness

Author: JerBouma

financetoolkit/normalization_model.py

@@ -47,7 +47,10 @@ def read_normalization_file(statement: str, format_location: str = ""):
             f"normalization/{statement}.csv"
         )
 
-    return pd.read_csv(file_location, index_col=[0]).iloc[:, 0]
+    try:
+        return pd.read_csv(file_location, index_col=[0]).iloc[:, 0]
+    except FileNotFoundError:
+        return pd.Series()
 
 
 def convert_financial_statements(
@@ -73,7 +76,8 @@ def convert_financial_statements(
     naming = {}
 
     if statement_format.empty:
-        raise ValueError("Please provide a non-empty format DataFrame.")
+        # If not format is provided, simply use the original financial statements
+        return financial_statements
 
     for name in financial_statements.index.unique(level=1):
         try:

financetoolkit/toolkit_controller.py

@@ -3626,28 +3626,6 @@ def get_income_statement(
             # The rolling window is calculated for the rest of the income statement.
             income_statement = self._income_statement.T.rolling(trailing).sum().T
 
-            # Ratios can't be simply added together and should be recalculated.
-            income_statement.loc[:, "Gross Profit Ratio", :] = (
-                income_statement.loc[:, "Gross Profit", :]
-                / income_statement.loc[:, "Revenue", :]
-            ).to_numpy()
-            income_statement.loc[:, "EBITDA Ratio", :] = (
-                income_statement.loc[:, "EBITDA", :]
-                / income_statement.loc[:, "Revenue", :]
-            ).to_numpy()
-            income_statement.loc[:, "Operating Income Ratio", :] = (
-                income_statement.loc[:, "Operating Income", :]
-                / income_statement.loc[:, "Revenue", :]
-            ).to_numpy()
-            income_statement.loc[:, "Income Before Tax Ratio", :] = (
-                income_statement.loc[:, "Income Before Tax", :]
-                / income_statement.loc[:, "Revenue", :]
-            ).to_numpy()
-            income_statement.loc[:, "Net Income Ratio", :] = (
-                income_statement.loc[:, "Net Income", :]
-                / income_statement.loc[:, "Revenue", :]
-            ).to_numpy()
-
             # The Weighted Average Shares and Weighted Average Shares Diluted should
             # not be summed up but rather kept equal to the current value.
             income_statement.loc[weighted_average_shares.index] = (