tested

rowers/dataroutines.py

@@ -176,6 +176,7 @@ columndict = {
     'slip': 'slip',
     'workoutstate': ' WorkoutState',
     'cumdist': 'cum_dist',
+    'check_factor': 'check_factor',
 }
 
 
@@ -1599,6 +1600,10 @@ def read_data(columns, ids=[], doclean=True, workstrokesonly=True, debug=False,
     
     try:
         datadf = pl.concat(data).select(columns)
+    except ColumnNotFoundError:
+        datadf = pl.concat(data)
+        existing_columns = [col for col in columns if col in datadf.columns]
+        datadf = datadf.select(existing_columns)
     except (ShapeError, SchemaError):
         data = [
             df.select(columns)
@@ -2302,6 +2307,16 @@ def dataplep(rowdatadf, id=0, inboard=0.88, forceunit='lbs', bands=True, barchar
         hr_bottom = 0.0*df[' HRCur (bpm)'],
     )
 
+
+    if 'check_factor' not in df.columns:
+        data = data.with_columns(
+            check_factor = pl.lit(0.0),
+        )
+    else:
+        data = data.with_columns(
+            check_factor = df['check_factor'],
+        )
+
     if 'wash' not in df.columns:
         data = data.with_columns(
             wash = pl.lit(0.0),

rowers/forms.py

@@ -1478,15 +1478,18 @@ class FusionMetricChoiceForm(ModelForm):
                          value in self.fields['columns'].choices}
 
             for label in labeldict:
-                if df.loc[:, label].std() == 0:
-                    try:
-                        formaxlabels2.pop(label)
-                    except KeyError:  # pragma: no cover
-                        pass
+                try:
+                    if df.loc[:, label].std() == 0:
+                        try:
+                            formaxlabels2.pop(label)
+                        except KeyError:  # pragma: no cover
+                            pass
+                except KeyError:  # pragma: no cover
+                    formaxlabels2.pop(label)
 
-                    metricchoices = list(
-                        sorted(formaxlabels2.items(), key=lambda x: x[1]))
-                    self.fields['columns'].choices = metricchoices
+            metricchoices = list(
+                sorted(formaxlabels2.items(), key=lambda x: x[1]))
+            self.fields['columns'].choices = metricchoices
 
 
 class PlannedSessionSelectForm(forms.Form):

rowers/interactiveplots.py

@@ -1841,6 +1841,8 @@ def interactive_flex_chart2(id, r, promember=0,
                             rowdata[column], 5))
             except KeyError:
                 pass
+            except ColumnNotFoundError:
+                pass
 
     if len(rowdata) < 2:
         if promember:
@@ -1938,10 +1940,10 @@ def interactive_flex_chart2(id, r, promember=0,
             rowdata = rowdata.with_columns((pl.lit(axlabels[yparam2])).alias("yname2"))
         except (KeyError, ColumnNotFoundError):  # pragma: no cover
             rowdata = rowdata.with_columns((pl.lit(yparam2)).alias("yname2"))
-
     else:  # pragma: no cover
         rowdata = rowdata.with_columns((pl.col("yname1")).alias("yname2"))
 
+
     def func(x, a, b):
         return a*x+b
 

rowers/metrics.py

@@ -305,6 +305,19 @@ rowingmetrics = (
         'type': 'pro',
         'group': 'stroke'}),
 
+    ('check_factor', {
+        'numtype': 'float',
+        'null': True,
+        'verbose_name': 'Check Factor',
+        'ax_min': 0,
+        'ax_max': 100,
+        'default': 0,
+        'sigfigs': 1,
+        'maysmooth': True,
+        'mode': 'water',
+        'type': 'pro',
+        'group': 'stroke'}),
+
 
     ('effectiveangle', {
         'numtype': 'float',