manually adding ranking pieces works

rowers/dataprep.py

@@ -556,16 +556,15 @@ def fetchcp(rower,theworkouts,table='cpdata'):
 
 
 # create a new workout from manually entered data
-def create_row_df(distance,duration,startdatetime):
+def create_row_df(r,distance,duration,startdatetime,
+                  title = 'Manually added workout',notes='',
+                  workouttype='rower'):
 
-    print startdatetime
     
     nr_strokes = int(distance/10.)
 
     unixstarttime = arrow.get(startdatetime).timestamp
 
-    print unixstarttime,'aap'
-
     totalseconds = duration.hour*3600.
     totalseconds += duration.minute*60.
     totalseconds += duration.second
@@ -584,19 +583,42 @@ def create_row_df(distance,duration,startdatetime):
 
     unixtime = unixstarttime + elapsed
 
-    print unixtime
-
     pace = 500.*totalseconds/distance
 
+    if workouttype in ['rower','slides','dynamic']:
+        velo = distance/totalseconds
+        power = 2.8*velo**3
+    else:
+        power = 0
+
     df = pd.DataFrame({
         'TimeStamp (sec)': unixtime,
 	' Horizontal (meters)': d,
         ' Cadence (stokes/min)': spm,
         ' Stroke500mPace (sec/500m)':pace,
         ' ElapsedTime (sec)':elapsed,
+        ' Power (watts)':power,
     })
 
-    return df
+    timestr = strftime("%Y%m%d-%H%M%S")
+
+    csvfilename = 'media/df_' + timestr + '.csv'
+    df[' ElapsedTime (sec)'] = df['TimeStamp (sec)']
+
+    row = rrdata(df=df)
+
+    row.write_csv(csvfilename, gzip = True)
+
+    id, message = save_workout_database(csvfilename, r,
+                                        title=title,
+                                        notes=notes,
+                                        dosmooth=False,
+                                        workouttype=workouttype,
+                                        consistencychecks=False,
+                                        totaltime=totalseconds)
+
+    return (id, message)
+
 
 # Processes painsled CSV file to database
 

rowers/views.py

@@ -3135,12 +3135,16 @@ def addmanual_view(request):
                 pytz.timezone(thetimezone)
             )
 
-            df = dataprep.create_row_df(distance,duration,startdatetime)
 
-            id,message = dataprep.new_workout_from_df(r,df,
+            print name
-                                               title = name,
+            id,message = dataprep.create_row_df(r,
-                                               parent = None,
+                                                distance,
-                                               )
+                                                duration,startdatetime,
+                                                title = name,
+                                                notes=notes,
+                                                workouttype=workouttype)
+
+
 
             if message:
                 messages.error(request,message)