linear interpolation in fitnessmetric chart

rowers/tasks.py

@@ -743,26 +743,7 @@ def handle_updateergcp(rower_id,workoutfilenames,debug=False,**kwargs):
 
     return 1
 
-@app.task
-def handle_updatefitnessmetric(user_id,mode,workoutids,debug=False,
-                               **kwargs):
-
-    powerfourmin = -1
-    power2k = -1
-    powerhour = -1
-    
-    mdict = {
-        'user_id': user_id,
-        'PowerFourMin': powerfourmin,
-        'PowerTwoK': power2k,
-        'PowerOneHour': powerhour,
-        'workoutmode': mode,
-        'last_workout': max(workoutids),
-        'date': timezone.now().strftime('%Y-%m-%d'),
-             }
-
-    result = fitnessmetric_to_sql(mdict,debug=debug,doclean=False)
-
+def cp_from_workoutids(workoutids,debug=False):
     columns = ['power','workoutid','time']
     df = getsmallrowdata_db(columns,ids=workoutids,debug=debug)
     df.dropna(inplace=True,axis=0)
@@ -821,6 +802,30 @@ def handle_updatefitnessmetric(user_id,mode,workoutids,debug=False,
 
     power2k = fitfunc(p1,t3)
 
+    return powerfourmin,power2k,powerhour
+    
+
+@app.task
+def handle_updatefitnessmetric(user_id,mode,workoutids,debug=False,
+                               **kwargs):
+
+    powerfourmin = -1
+    power2k = -1
+    powerhour = -1
+    
+    mdict = {
+        'user_id': user_id,
+        'PowerFourMin': powerfourmin,
+        'PowerTwoK': power2k,
+        'PowerOneHour': powerhour,
+        'workoutmode': mode,
+        'last_workout': max(workoutids),
+        'date': timezone.now().strftime('%Y-%m-%d'),
+             }
+
+    result = fitnessmetric_to_sql(mdict,debug=debug,doclean=False)
+
+    powerfourmin,power2k,powerhour = cp_from_workoutids(workoutids,debug=debug)
     
     mdict = {
         'user_id': user_id,