fixing fit processing and wps average calculation

rowers/dataprep.py

@@ -1521,7 +1521,10 @@ def save_workout_database(f2, r, dosmooth=True, workouttype='rower',
         cntr = Workout.objects.filter(user=r, workouttype__in=otwtypes,
                                       startdatetime__gt=tz.now()-tz.timedelta(days=42),
                                       duplicate=False).count()
-        new_value = (cntr*r.running_wps_erg + row.df['driveenergy'].mean())/(cntr+1.0)
+        try:
+            new_value = (cntr*r.running_wps_erg + row.df['driveenergy'].mean())/(cntr+1.0)
+        except TypeError:
+            new_value = r.running_wps
         if not (math.isnan(new_value) or math.isinf(new_value) or new_value == 0):
             r.running_wps = new_value
         elif not (math.isnan(r.running_wps) or math.isinf(r.running_wps) or r.running_wps == 0):

rowers/utils.py

@@ -833,6 +833,7 @@ def step_to_time_dist(step, avgspeed=3.2, ftp=200, ftspm=25, ftv=3.7, powerzones
                 avgpower = targetpower
             if valuelow != 0 and valuehigh != 0:  # pragma: no cover
                 avgpower = (valuelow+valuehigh)/2.
+                targetpower = ftp*0.6
                 if avgpower < 10 and avgpower > 0:
                     targetpower = ftp*0.6
                 elif avgpower > 10 and avgpower < 1000: