bug fixes and adding data download

rowers/dataprep.py

@@ -8,6 +8,7 @@ from __future__ import unicode_literals
 from __future__ import unicode_literals, absolute_import
 from rowers.models import (
     Workout, Team, CalcAgePerformance,C2WorldClassAgePerformance,
+    User
     )
 
 import pytz
@@ -325,7 +326,9 @@ def workout_summary_to_df(
         startdate=datetime.datetime(1970,1,1),
         enddate=timezone.now()+timezone.timedelta(days=1)):
 
-    ws = Workout.objects.filter(user=rower).order_by("startdatetime")
+    ws = Workout.objects.filter(
+        user=rower,date__gte=startdate,date__lte=enddate
+        ).order_by("startdatetime")
 
     types = []
     names = []
@@ -339,6 +342,9 @@ def workout_summary_to_df(
     notes = []
     tcx_links = []
     csv_links = []
+    workout_links = []
+    goldstandards = []
+    goldstandarddurations = []
     rscores = []
     trimps = []
 
@@ -361,12 +367,20 @@ def workout_summary_to_df(
             id=encoder.encode_hex(w.id)
             )
         csv_links.append(csv_link)
+        workout_link = SITE_URL+'/rowers/workout/{id}/'.format(
+            id=encoder.encode_hex(w.id)
+        )
+        workout_links.append(workout_link)
         trimps.append(workout_trimp(w)[0])
         rscore = workout_rscore(w)
         rscores.append(int(rscore[0]))
+        goldstandard,goldstandardduration = workout_goldmedalstandard(w)
+        goldstandards.append(int(goldstandard))
+        goldstandarddurations.append(int(goldstandardduration))
 
     df = pd.DataFrame({
         'name':names,
+        'link':workout_links,
         'date':startdatetimes,
         'timezone':timezones,
         'type':types,
@@ -380,6 +394,8 @@ def workout_summary_to_df(
         'Stroke Data CSV':csv_links,
         'TRIMP Training Load':trimps,
         'TSS Training Load':rscores,
+        'GS':goldstandards,
+        'GS_secs':goldstandarddurations,
     })
 
     return df
@@ -1026,6 +1042,14 @@ from rowers.datautils import p0
 from rowers.utils import calculate_age
 from scipy import optimize
 
+def get_workoutsummaries(userid,startdate):
+    u = User.objects.get(id=userid)
+    r = u.rower
+    df = workout_summary_to_df(r,startdate=startdate)
+    df = df.sort_values('date')
+
+    return df
+
 def workout_goldmedalstandard(workout):
     if workout.goldmedalstandard > 0:
         return workout.goldmedalstandard,workout.goldmedalseconds