sort of works

rowers/dataprepnodjango.py

@@ -1030,8 +1030,6 @@ def dataprep(rowdatadf,id=0,bands=True,barchart=True,otwpower=True,
     
     p2 = p.fillna(method='ffill').apply(lambda x: timedeltaconv(x))
 
-    print p
-    
     try:
         drivespeed = drivelength/rowdatadf[' DriveTime (ms)']*1.0e3
     except KeyError:

rowers/stravastuff.py

@@ -148,10 +148,6 @@ def get_strava_workout_list(user):
 def add_stroke_data(user,stravaid,workoutid,startdatetime,csvfilename):
     r = Rower.objects.get(user=user)
 
-    print 'Queueing job for workout {workoutid} (strava {stravaid})'.format(
-        workoutid=workoutid,
-        stravaid=stravaid)
-    
     starttimeunix = arrow.get(startdatetime).timestamp
 
     job = myqueue(queue,
@@ -184,7 +180,7 @@ def get_strava_workouts(rower):
             ])
         newids = [stravaid for stravaid in stravaids if not stravaid in knownstravaids]
 
-        for stravaid in newids[:1]:
+        for stravaid in newids:
             workoutid = create_async_workout(alldata,rower.user,stravaid)
 
     return 1

rowers/tasks.py

@@ -167,15 +167,15 @@ def handle_strava_import_stroke_data(stravatoken,
     nr_strokes = len(t)
 
     df = pd.DataFrame({'TimeStamp (sec)':unixtime,
-                       ' ElapsedTime (sec)':10*t,
-		       ' Horizontal (meters)':10*d,
-		       ' Stroke500mPace (sec/500m)':10*pace,
+                       ' ElapsedTime (sec)':t,
+		       ' Horizontal (meters)':d,
+		       ' Stroke500mPace (sec/500m)':pace,
 		       ' Cadence (stokes/min)':spm,
 		       ' HRCur (bpm)':hr,
 		       ' latitude':lat,
 		       ' longitude':lon,
 		       ' StrokeDistance (meters)':strokelength,
-                       'cum_dist':10*d,
+                       'cum_dist':d,
 	               ' DragFactor':np.zeros(nr_strokes),
 	               ' DriveLength (meters)':np.zeros(nr_strokes),
 	               ' StrokeDistance (meters)':np.zeros(nr_strokes),