last remaining coverage lines in dataprep

rowers/dataprep.py

@@ -2383,7 +2383,7 @@ def getrowdata_db(id=0, doclean=False, convertnewtons=True,
         try:
             if data['efficiency'].mean() == 0 and data['power'].mean() != 0: # pragma: no cover
                 data = add_efficiency(id=id)
-        except KeyError:
+        except KeyError: # pragma: no cover
             data = add_efficiency(id=id)
 
     if doclean: # pragma: no cover
@@ -2414,7 +2414,7 @@ def getsmallrowdata_db(columns, ids=[], doclean=True,workstrokesonly=True,comput
                 #df = dd.read_parquet(f,columns=columns,engine='pyarrow')
                 df = pd.read_parquet(f,columns=columns)
                 data.append(df)
-            except OSError:
+            except OSError: # pragma: no cover
                 rowdata, row = getrowdata(id=id)
                 if rowdata and len(rowdata.df):
                     datadf = dataprep(rowdata.df,id=id,bands=True,otwpower=True,barchart=True)
@@ -2461,7 +2461,7 @@ def getrowdata(id=0):
     # check if valid ID exists (workout exists)
     try:
         row = Workout.objects.get(id=id)
-    except Workout.DoesNotExist:
+    except Workout.DoesNotExist: # pragma: no cover
         return rrdata(),None
 
     f1 = row.csvfilename
@@ -2785,7 +2785,7 @@ def dataprep(rowdatadf, id=0, bands=True, barchart=True, otwpower=True,
 
     try:
         drivespeed = drivelength / rowdatadf[' DriveTime (ms)'] * 1.0e3
-    except TypeError:
+    except TypeError: # pragma: no cover
         drivespeed = 0.0 * rowdatadf['TimeStamp (sec)']
 
     drivespeed = drivespeed.fillna(value=0)