tested split and flexchart

rowers/dataprep.py

@@ -433,6 +433,7 @@ def save_workout_database(f2,r,dosmooth=True,workouttype='rower',
                           summary='',
                           makeprivate=False,
                           oarlength=2.89,inboard=0.88,
+                          forceunit='lbs',
                           consistencychecks=False):
     message = None
     powerperc = 100*np.array([r.pw_ut2,
@@ -447,7 +448,6 @@ def save_workout_database(f2,r,dosmooth=True,workouttype='rower',
                 powerperc=powerperc,powerzones=r.powerzones)
     row = rdata(f2,rower=rr)
 
-
     dtavg = row.df['TimeStamp (sec)'].diff().mean()
 
     if dtavg < 1:
@@ -640,6 +640,7 @@ def save_workout_database(f2,r,dosmooth=True,workouttype='rower',
 		weightcategory=r.weightcategory,
 		starttime=workoutstarttime,
                 workoutsource=workoutsource,
+                forceunit=forceunit,
 		csvfilename=f2,notes=notes,summary=summary,
 		maxhr=maxhr,averagehr=averagehr,
 		startdatetime=workoutstartdatetime,
@@ -925,7 +926,8 @@ def split_workout(r,parent,splitsecond,splitmode):
         id,message = new_workout_from_df(r,data1,
                                          title=parent.name+' (1)',
                                          parent=parent,
-                                         setprivate=setprivate)
+                                         setprivate=setprivate,
+                                         forceunit='N')
         messages.append(message)
         ids.append(id)
     if 'keep second' in splitmode:
@@ -938,12 +940,12 @@ def split_workout(r,parent,splitsecond,splitmode):
             setprivate = False
 
         dt = datetime.timedelta(seconds=splitsecond)
-            
+
         id,message = new_workout_from_df(r,data2,
                                          title=parent.name+' (2)',
                                          parent=parent,
                                          setprivate=setprivate,
-                                         dt=dt)
+                                         dt=dt,forceunit='N')
         messages.append(message)
         ids.append(id)
 
@@ -968,6 +970,7 @@ def new_workout_from_df(r,df,
                         title='New Workout',
                         parent=None,
                         setprivate=False,
+                        forceunit='lbs',
                         dt=datetime.timedelta()):
 
     message = None
@@ -1001,7 +1004,10 @@ def new_workout_from_df(r,df,
     timestr = strftime("%Y%m%d-%H%M%S")
 
     csvfilename ='media/df_'+timestr+'.csv'
-
+    if forceunit == 'N':
+        # change to lbs for now
+        df['peakforce'] /= lbstoN
+        df['averageforce'] /= lbstoN
 
     df.rename(columns = columndict,inplace=True)
 
@@ -1179,18 +1185,6 @@ def getsmallrowdata_db(columns,ids=[],doclean=True,workstrokesonly=True):
 
     # convert newtons
     
-    if 'peakforce' in columns:
-        funits = ((w.id,w.forceunit) for w in Workout.objects.filter(id__in=ids))
-        for id,u in funits:
-            if u=='lbs':
-                mask = data['workoutid']==id
-                data.loc[mask,'peakforce'] = data.loc[mask,'peakforce']*lbstoN
-    if 'averageforce' in columns:
-        funits = ((w.id,w.forceunit) for w in Workout.objects.filter(id__in=ids))
-        for id,u in funits:
-            if u=='lbs':
-                mask = data['workoutid']==id
-                data.loc[mask,'averageforce'] = data.loc[mask,'averageforce']*lbstoN
 
         
     if doclean:
@@ -1298,7 +1292,7 @@ def read_cols_df_sql(ids,columns,convertnewtons=True):
         for id,u in funits:
             if u=='lbs':
                 mask = df['workoutid']==id
-                df.loc[mask,'peakforce'] = data.loc[mask,'peakforce']*lbstoN
+                df.loc[mask,'peakforce'] = df.loc[mask,'peakforce']*lbstoN
     if 'averageforce' in columns:
         funits = ((w.id,w.forceunit) for w in Workout.objects.filter(id__in=ids))
         for id,u in funits: