coverage stravastuff stuff

rowers/dataprep.py

@@ -1099,10 +1099,14 @@ def calculate_goldmedalstandard(rower,workout,recurrance=True):
     try:
         df = pd.read_parquet(cpfile)
     except:
-        df, delta, cpvalues = setcp(workout,background=True)
+        background = True
+        if settings.TESTING:
+            background = False
+        df, delta, cpvalues = setcp(workout,background=background)
         if df.empty:
             return 0,0
 
+
     if df.empty and recurrance: # pragma: no cover
         df, delta, cpvalues = setcp(workout,recurrance=False,background=True)
         if df.empty:
@@ -1110,12 +1114,15 @@ def calculate_goldmedalstandard(rower,workout,recurrance=True):
 
     age = calculate_age(rower.birthdate,today=workout.date)
 
+
+
     agerecords = CalcAgePerformance.objects.filter(
         age=age,
         sex=rower.sex,
         weightcategory = rower.weightcategory
     )
 
+
     wcdurations = []
     wcpower = []
     getrecords = False
@@ -1214,17 +1221,17 @@ def setcp(workout,background=False,recurrance=True):
     filename = 'media/cpdata_{id}.parquet.gz'.format(id=workout.id)
 
     strokesdf = getsmallrowdata_db(['power','workoutid','time'],ids = [workout.id])
+
     try:
         if strokesdf['power'].std()==0:
             return pd.DataFrame(),pd.Series(),pd.Series()
     except KeyError:
         return pd.DataFrame(),pd.Series(),pd.Series()
 
-    if background:
+    if background: # pragma: no cover
         job = myqueue(queuelow,handle_setcp,strokesdf,filename,workout.id)
         return pd.DataFrame({'delta':[],'cp':[]}),pd.Series(),pd.Series()
 
-
     if not strokesdf.empty:
         totaltime = strokesdf['time'].max()
         try: