cp data sending to admin

rowers/views.py

@@ -132,6 +132,7 @@ from rowers.tasks import handle_makeplot,handle_otwsetpower,handle_sendemailtcx,
 from rowers.tasks import (
     handle_sendemail_unrecognized,handle_sendemailnewcomment,
     handle_sendemailsummary,
+    handle_sendemailfile,
     handle_sendemailkml,
     handle_sendemailnewresponse, handle_updatedps,
     handle_updatecp,long_test_task,long_test_task2,
@@ -4276,6 +4277,79 @@ def otwrankings_view(request,theuser=0,
                    'workouttype':'water',
 		   })
 
+@login_required()
+def otecp_toadmin_view(request,theuser=0,
+                       startdate=timezone.now()-datetime.timedelta(days=365),
+                       enddate=timezone.now(),
+                       startdatestring="",
+                       enddatestring="",
+                       ):
+
+    if startdatestring != "":
+        try:
+	    startdate = iso8601.parse_date(startdatestring)
+        except ParseError:
+            pass
+
+    if enddatestring != "":
+        try:
+	    enddate = iso8601.parse_date(enddatestring)
+        except ParseError:
+            pass
+
+    if theuser == 0:
+        theuser = request.user.id
+
+    r = Rower.objects.get(user=request.user)
+
+    startdate = datetime.datetime.combine(startdate,datetime.time())
+    enddate = datetime.datetime.combine(enddate,datetime.time(23,59,59))
+
+    theworkouts = Workout.objects.filter(
+        user=r,rankingpiece=True,
+	workouttype__in=[
+            'rower',
+            'dynamic',
+            'slides'
+        ],
+	startdatetime__gte=startdate,
+	startdatetime__lte=enddate
+    ).order_by("-startdatetime")
+
+
+    delta,cpvalue,avgpower = dataprep.fetchcp(
+        r,theworkouts,table='cpergdata'
+    )
+
+    powerdf = pd.DataFrame({
+        'Delta':delta,
+        'CP':cpvalue,
+        })
+
+    csvfilename = 'CP_data_user_{id}.csv'.format(
+        id = theuser
+        )
+    
+    powerdf = powerdf[powerdf['CP']>0]
+    powerdf.dropna(axis=0,inplace=True)
+    powerdf.sort_values(['Delta','CP'],ascending=[1,0],inplace=True)
+    powerdf.drop_duplicates(subset='Delta',keep='first',inplace=True)
+    powerdf.to_csv(csvfilename)
+
+    res = myqueue(queuehigh,
+                  handle_sendemailfile,
+                  'Sander',
+                  'Roosendaal',
+                  'roosendaalsander@gmail.com',
+                  csvfilename,
+                  delete=True)
+
+    successmessage = "The CSV file was sent to the site admin per email"
+    messages.info(request,successmessage)
+    response = HttpResponseRedirect('/rowers/list-workouts/')
+
+    return response
+
 # Show ranking distances including predicted paces
 @user_passes_test(ispromember,login_url="/",redirect_field_name=None)
 def oterankings_view(request,theuser=0,