Fixed pylint issue

Author: Øyvind Lind-Johansen

webviz_subsurface/plugins/_simulation_time_series_onebyone/_utils/__init__.py

@@ -1,5 +1,7 @@
 from ._datetime_utils import date_from_str, date_to_str
 from ._simulation_time_series_onebyone_datamodel import (
     SimulationTimeSeriesOneByOneDataModel,
+    create_tornado_table,
     create_vector_selector_data,
+    get_tornado_data,
 )

webviz_subsurface/plugins/_simulation_time_series_onebyone/_utils/_simulation_time_series_onebyone_datamodel.py

@@ -150,18 +150,6 @@ def get_tornado_reference(sensitivities: List[str], existing_reference: str) ->
             return "rms_seed"
         return sensitivities[0]
 
-    def get_tornado_data(
-        self, dframe: pd.DataFrame, response: str, selections: dict
-    ) -> TornadoData:
-        dframe.rename(columns={response: "VALUE"}, inplace=True)
-        return TornadoData(
-            dframe=dframe,
-            reference=selections["Reference"],
-            response_name=response,
-            scale=selections["Scale"],
-            cutbyref=bool(selections["Remove no impact"]),
-        )
-
     def create_tornado_figure(
         self,
         tornado_data: TornadoData,
@@ -224,18 +212,6 @@ def create_realplot(self, tornado_data: TornadoData) -> go.Figure:
             )
         )
 
-    def create_tornado_table(
-        self,
-        tornado_data: TornadoData,
-        use_si_format: bool,
-    ) -> Tuple[List[dict], List[dict]]:
-        tornado_table = TornadoTable(
-            tornado_data=tornado_data,
-            use_si_format=use_si_format,
-            precision=4 if use_si_format else 3,
-        )
-        return tornado_table.as_plotly_table, tornado_table.columns
-
     def create_timeseries_figure(
         self,
         dframe: pd.DataFrame,
@@ -262,6 +238,31 @@ def create_timeseries_figure(
         ).update_layout({"title": f"{vector}"})
 
 
+def get_tornado_data(
+    dframe: pd.DataFrame, response: str, selections: dict
+) -> TornadoData:
+    dframe.rename(columns={response: "VALUE"}, inplace=True)
+    return TornadoData(
+        dframe=dframe,
+        reference=selections["Reference"],
+        response_name=response,
+        scale=selections["Scale"],
+        cutbyref=bool(selections["Remove no impact"]),
+    )
+
+
+def create_tornado_table(
+    tornado_data: TornadoData,
+    use_si_format: bool,
+) -> Tuple[List[dict], List[dict]]:
+    tornado_table = TornadoTable(
+        tornado_data=tornado_data,
+        use_si_format=use_si_format,
+        precision=4 if use_si_format else 3,
+    )
+    return tornado_table.as_plotly_table, tornado_table.columns
+
+
 def create_vector_selector_data(vector_names: list) -> list:
     vector_selector_data: list = []
     for vector in _get_non_historical_vector_names(vector_names):

webviz_subsurface/plugins/_simulation_time_series_onebyone/_views/_onebyone_view/_view.py

@@ -12,9 +12,11 @@
 from ..._types import LineType
 from ..._utils import (
     SimulationTimeSeriesOneByOneDataModel,
+    create_tornado_table,
     create_vector_selector_data,
     date_from_str,
     date_to_str,
+    get_tornado_data,
 )
 from ._settings import GeneralSettings, Selections, SensitivityFilter, Visualization
 from ._view_elements import BottomVisualizationViewElement, GeneralViewElement
@@ -496,17 +498,15 @@ def _update_tornadoplot(
                 ),
             )
 
-            tornado_data = self._data_model.get_tornado_data(data, vector, selections)
+            tornado_data = get_tornado_data(data, vector, selections)
             use_si_format = tornado_data.reference_average > 1000
             tornadofig = self._data_model.create_tornado_figure(
                 tornado_data=tornado_data,
                 selections=selections,
                 use_si_format=use_si_format,
                 title=f"Tornadoplot for {tornado_data.response_name} at {date} <br>",
             )
-            table, columns = self._data_model.create_tornado_table(
-                tornado_data, use_si_format
-            )
+            table, columns = create_tornado_table(tornado_data, use_si_format)
             return table, columns, tornadofig
 
         @callback(
@@ -570,7 +570,7 @@ def _update_realplot(
                     ensemble
                 ),
             )
-            tornado_data = self._data_model.get_tornado_data(data, vector, selections)
+            tornado_data = get_tornado_data(data, vector, selections)
 
             return self._data_model.create_realplot(tornado_data)