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),