fix(exclude_empty): correcty handly pd.Series row[col] values

Signed-off-by: Vincent Koppen <[email protected]>

Author: vincentkoppen

src/power_grid_model_io/functions/filters.py

@@ -18,10 +18,12 @@ def exclude_empty(row: pd.Series, col: str) -> bool:
     """
     if col not in row:
         raise ValueError(f"The column: '{col}' cannot be found for the filter")
-    result = has_value(row[col])
-    if isinstance(result, pd.Series):
-        return result.item()
-    return result
+
+    col_value = row[col]
+    if isinstance(col_value, pd.Series):
+        col_value = col_value.item()
+
+    return has_value(col_value)
 
 
 def exclude_value(row: pd.Series, col: str, value: float | str) -> bool:
@@ -30,11 +32,12 @@ def exclude_value(row: pd.Series, col: str, value: float | str) -> bool:
     """
     if col not in row:
         raise ValueError(f"The column: '{col}' cannot be found for the filter")
-    result = row[col] != value
-    # Sonar cloud false positive (S2583): result can be a pd.Series of bool
-    if isinstance(result, pd.Series):  # NOSONAR
-        return result.item()
-    return result
+
+    col_value = row[col]
+    if isinstance(col_value, pd.Series):
+        col_value = col_value.item()
+
+    return col_value != value
 
 
 def exclude_all_columns_empty_or_zero(row: pd.Series, cols: List[str]) -> bool:

tests/unit/functions/test_filters.py

@@ -1,7 +1,7 @@
 # SPDX-FileCopyrightText: Contributors to the Power Grid Model project <[email protected]>
 #
 # SPDX-License-Identifier: MPL-2.0
-from typing import Tuple
+from typing import Any, Tuple
 from unittest.mock import MagicMock, patch
 
 import pandas as pd
@@ -10,13 +10,21 @@
 from power_grid_model_io.functions.filters import exclude_all_columns_empty_or_zero, exclude_empty, exclude_value
 
 
+@pytest.mark.parametrize(
+    ("row_value", "expected_call"),
+    [
+        (1, 1),
+        (pd.Series(1), 1),
+    ],
+)
 @patch("power_grid_model_io.functions.filters.has_value")
-def test_exclude_empty(mock_has_value: MagicMock):
+def test_exclude_empty(mock_has_value: MagicMock, row_value: Any, expected_call: Any):
     col = "foo"
-    row = pd.Series({"foo": 1, "bar": "xyz"})
-    actual = exclude_empty(row, col)
-    mock_has_value.assert_called_once_with(row[col])
-    assert actual == mock_has_value.return_value
+    row = pd.Series([row_value, "xyz"], index=["foo", "bar"])
+    actual = exclude_empty(row=row, col=col)
+
+    mock_has_value.assert_called_once_with(expected_call)
+    assert actual is mock_has_value.return_value
 
 
 def test_exclude_empty__invalid_col():
@@ -31,9 +39,11 @@ def test_exclude_empty__invalid_col():
         (4.0, "x", True),
         (3.0, 3.0, False),
         (3.2, 3.1, True),
+        (pd.Series([3]), 3, False),
+        (pd.Series([3]), 2, True),
     ],
 )
-def test_exclude_value(row_value: float, check_value: float, expected: bool):
+def test_exclude_value(row_value: float | pd.Series, check_value: float, expected: bool):
     row = pd.Series({"foo": row_value})
     actual = exclude_value(row=row, col="foo", value=check_value)
     assert actual == expected