review duplicates upon delete workout

rowers/.#models.py

@@ -1 +0,0 @@
-E408191@CZ27LT9RCGN72.21348:1542056188

rowers/dataprep.py

@@ -999,7 +999,7 @@ def save_workout_database(f2, r, dosmooth=True, workouttype='rower',
     maxhr = np.nan_to_num(maxhr)
     averagehr = np.nan_to_num(averagehr)
 
-    duplicate = True
+    duplicate = False
 
     t = datetime.datetime.strptime(duration,"%H:%M:%S.%f")
     delta = datetime.timedelta(hours=t.hour, minutes=t.minute, seconds=t.second)
@@ -1007,7 +1007,7 @@ def save_workout_database(f2, r, dosmooth=True, workouttype='rower',
     workoutenddatetime = workoutstartdatetime+delta
 
     # check for duplicate start times and duration
-    ws = Workout.objects.filter(user=r,date=workoutdate).exclude(
+    ws = Workout.objects.filter(user=r,date=workoutdate,duplicate=False).exclude(
         startdatetime__gt=workoutenddatetime
     )
 
@@ -1019,7 +1019,8 @@ def save_workout_database(f2, r, dosmooth=True, workouttype='rower',
         enddatetime = ww.startdatetime+delta
         if enddatetime > workoutstartdatetime:
             ws2.append(ww)
-                                
+
+
     if (len(ws2) != 0):
         message = "Warning: This workout overlaps with an existing one and was marked as a duplicate"
         duplicate = True

rowers/models.py

@@ -2182,7 +2182,42 @@ def auto_delete_file_on_delete(sender, instance, **kwargs):
     if instance.csvfilename+'.gz':
 	if os.path.isfile(instance.csvfilename+'.gz'):
 	    os.remove(instance.csvfilename+'.gz')
-            
+
+@receiver(models.signals.post_delete,sender=Workout)
+def update_duplicates_on_delete(sender, instance, **kwargs):
+    if instance.id:
+
+        duplicates = Workout.objects.filter(
+            user=instance.user,date=instance.date,
+            duplicate=True)
+
+        for d in duplicates:
+            t = d.duration
+            delta = datetime.timedelta(hours=t.hour, minutes=t.minute, seconds=t.second)
+            workoutenddatetime = d.startdatetime+delta
+            ws = Workout.objects.filter(
+                user=d.user,date=d.date,
+            ).exclude(
+                pk__in=[instance.pk,d.pk]
+            ).exclude(
+                startdatetime__gt=workoutenddatetime
+                )
+
+
+            ws2 = []
+
+            for ww in ws:
+                t = ww.duration
+                delta = datetime.timedelta(hours=t.hour, minutes=t.minute, seconds=t.second)
+                enddatetime = ww.startdatetime+delta
+                if enddatetime > d.startdatetime:
+                    ws2.append(ww)
+
+            if len(ws2) == 0:
+                d.duplicate=False
+                d.save()
+        
+    
 # Delete stroke data from the database when a workout is deleted
 @receiver(models.signals.post_delete,sender=Workout)
 def auto_delete_strokedata_on_delete(sender, instance, **kwargs):

rowers/views.py

@@ -9859,6 +9859,11 @@ def workout_edit_view(request,id=0,message="",successmessage=""):
             except KeyError:
                 rankingpiece =- Workout.objects.get(id=id).rankingpiece
 
+            try:
+                duplicate = form.cleaned_data['duplicate']
+            except KeyError:
+                duplicate = Workout.objects.get(id=id).duplicate
+
             if private:
                 privacy = 'private'
             else:
@@ -9898,6 +9903,7 @@ def workout_edit_view(request,id=0,message="",successmessage=""):
             row.duration = duration
             row.distance = distance
             row.boattype = boattype
+            row.duplicate = duplicate
             row.privacy = privacy
             row.rankingpiece = rankingpiece
             row.timezone = thetimezone