slightly faster - initial load still slow

rowers/interactiveplots.py

@@ -106,7 +106,7 @@ from pandas.core.groupby.groupby import DataError
 
 def newtestpower(x):
     try:
-        if abs(x['testpower'] - x['testdup']) < 1:
+        if abs(x['testpower'] - x['testdup']) < 0.2:
             return np.nan
     except (AttributeError,TypeError):
         return np.nan
@@ -198,7 +198,7 @@ def build_goldmedalstandards(workouts,kfitness):
     #    fitnesses.append(np.nan)
 
     for w in workouts:
-        ids = [w.id for w in workouts.filter(date__gte=w.date-datetime.timedelta(days=90),
+        ids = [w.id for w in workouts.filter(date__gte=w.date-datetime.timedelta(days=42),
                                              date__lte=w.date)]
 
 

rowers/views/analysisviews.py

@@ -1652,6 +1652,7 @@ def performancemanager_view(request,userid=0,mode='rower',
             'dofatigue':dofatigue,
             })
 
+    if not is_ajax:
         script, thediv, endfitness, endfatigue, endform, ids = performance_chart(
             theuser,startdate=startdate,enddate=enddate,
             kfitness = kfitness,
@@ -1661,6 +1662,16 @@ def performancemanager_view(request,userid=0,mode='rower',
             dofatigue = dofatigue,
             showtests = True,
             )
+    else:
+        script, thediv, endfitness, endfatigue, endform, ids = performance_chart(
+            theuser,startdate=startdate,enddate=enddate,
+            kfitness = kfitness,
+            kfatigue = kfatigue,
+            metricchoice = metricchoice,
+            doform = doform,
+            dofatigue = dofatigue,
+            showtests = False,
+            )
 
     ids = pd.Series(ids).dropna().values