Merge branch 'release/v16.2.1'

rowers/dataprep.py

@@ -51,7 +51,7 @@ import arrow
 thetimezone = get_current_timezone()
 from rowingdata import (
     TCXParser, RowProParser, ErgDataParser,
-    CoxMateParser,
+    CoxMateParser, HeroParser,
     BoatCoachParser, RowPerfectParser, BoatCoachAdvancedParser,
     ETHParser,
     MysteryParser, BoatCoachOTWParser,QuiskeParser,
@@ -1828,6 +1828,7 @@ parsers = {
     'humon': HumonParser,
     'eth': ETHParser,
     'nklinklogbook': NKLiNKLogbookParser,
+    'hero': HeroParser,
     }
 
 def parsenonpainsled(fileformat,f2,summary,startdatetime='',empowerfirmware=None,inboard=None,oarlength=None):

rowers/interactiveplots.py

@@ -1850,7 +1850,7 @@ def performance_chart(user,startdate=None,enddate=None,kfitness=42,kfatigue=7,
     outids = []
 
 
-    workouts = Workout.objects.filter(user=user.rower,date__gte=startdate,
+    workouts = Workout.objects.filter(user=user.rower,date__gte=startdate-datetime.timedelta(days=90),
                                       date__lte=enddate,
                                       workouttype__in=mytypes.rowtypes,
                                       duplicate=False).order_by('date')
@@ -1869,7 +1869,8 @@ def performance_chart(user,startdate=None,enddate=None,kfitness=42,kfatigue=7,
                                                      dates,
                                                      testpower,testduration,
                                                      impulses,
-                                                     startdate,enddate,
+                                                     startdate-datetime.timedelta(days=90),
+                                                     enddate,
                                                      user,metricchoice,
                                                      kfatigue,kfitness)
 
@@ -1900,6 +1901,9 @@ def performance_chart(user,startdate=None,enddate=None,kfitness=42,kfatigue=7,
     df.sort_values(['date'],inplace=True)
     df = df.groupby(['date']).max()
     df['date'] = df.index.values
+    mask = df['date'] > np.datetime64(startdate)
+    df = df.loc[mask]
+
 
 
     source = ColumnDataSource(

rowers/stravastuff.py

@@ -383,6 +383,9 @@ def async_get_workout(user,stravaid):
 
 # Get a Strava workout summary data and stroke data by ID
 def get_workout(user,stravaid,do_async=False):
+    if do_async:
+        res =  async_get_workout(user,stravaid)
+        return {},pd.DataFrame()
     try:
         thetoken = strava_open(user)
     except NoTokenError: # pragma: no cover

rowers/templates/strava_list_import.html

@@ -34,7 +34,7 @@
         {% for workout in workouts %}
         <tr>
           <td>
-            <a href="/rowers/workout/stravaimport/{{ workout|lookup:'id' }}/">Import</a></td>
+            <a href="/rowers/workout/stravaimport/{{ workout|lookup:'id' }}/async/">Import</a></td>
           <td>{{ workout|lookup:'name' }}</td>
           <td>{{ workout|lookup:'starttime' }}</td>
           <td>{{ workout|lookup:'duration' }} </td>

rowers/views/importviews.py

@@ -2008,6 +2008,18 @@ def workout_c2import_view(request,page=1,userid=0,message=""):
                    'page':page,
                   })
 
+importlistviews = {
+    'c2':'workout_c2import_view',
+    'strava':'workout_stravaimport_view',
+    'polar':'workout_polarimport_view',
+    'ownapi':'workout_view',
+    'runkeeper':'workout_runkeeperimport_view',
+    'sporttracks':'workout_sporttracksimport_view',
+    'trainingpeaks':'workout_view',
+    'underarmour':'workout_underarmourimport_view',
+    'nk':'workout_nkimport_view',
+    }
+
 importsources = {
     'c2':c2stuff,
     'strava':stravastuff,
@@ -2049,7 +2061,8 @@ def workout_getimportview(request,externalid,source = 'c2',do_async=False):
 
     if do_async: # pragma: no cover
         messages.info(request,"Your workout will be imported in the background")
-        url = reverse('workouts_view')
+        # this should return to the respective import list page
+        url = reverse(importlistviews[source])
         return HttpResponseRedirect(url)
 
     if not data: # pragma: no cover