Merge branch 'develop' into feature/redesign2

rowers/interactiveplots.py

@@ -94,6 +94,7 @@ def errorbar(fig, x, y, source=ColumnDataSource(),
     xvalues = source.data[x]
     yvalues = source.data[y]
 
+    
     xerrvalues = source.data['xerror']
     yerrvalues = source.data['yerror']
     try:
@@ -2362,10 +2363,13 @@ def interactive_multiflex(datadf,xparam,yparam,groupby,extratitle='',
     if yparam == 'pace':
         y_axis_type = 'datetime'
 
+    datadf.index.names = ['index']
+
     source = ColumnDataSource(
         datadf,
         )
 
+
     TOOLS = 'save,pan,box_zoom,wheel_zoom,reset,tap,resize'
 
     if groupby != 'date':

rowers/models.py

@@ -1,6 +1,6 @@
 from __future__ import unicode_literals
 
-from django.db import models
+from django.db import models,IntegrityError
 from django.contrib.auth.models import User
 from django.core.validators import validate_email
 from django.core.exceptions import ValidationError
@@ -201,9 +201,11 @@ def update_records(url=c2url):
             name = name,
         )
         try:
-            record.save()
-        except:
             print record
+            record.save()
+        except IntegrityError:
+            print(record,'*')
+
             
 
 class CalcAgePerformance(models.Model):
@@ -281,7 +283,17 @@ class C2WorldClassAgePerformance(models.Model):
         unique_together = ('age','sex','weightcategory','distance')
     
     def __unicode__(self):
-        return self.sex+' '+self.weightcategory+' '+self.name+':'+str(self.age)+' ('+str(self.season)+')'
+        thestring = '{s} {w} {n} age {a} ({season}) {distance}m {duration} seconds'.format(
+            s = self.sex,
+            w = self.weightcategory,
+            n = self.name,
+            a = self.age,
+            season = self.season,
+            distance = self.distance,
+            duration = self.duration,
+            )
+
+        return thestring
 
 # For future Team functionality
 class Team(models.Model):

rowers/stravastuff.py

@@ -590,6 +590,11 @@ def add_workout_from_data(user,importid,data,strokedata,
     return id,message
 
 def workout_strava_upload(user,w):
+    try:
+        thetoken = strava_open(user)
+    except NoTokenError:
+        return "Please connect to Strava first",0
+    
     message = "Uploading to Strava"
     stravaid=-1
     r = Rower.objects.get(user=user)

rowers/tasks.py

@@ -405,12 +405,13 @@ def handle_getagegrouprecords(self,
             weightcategory=weightcategory,indf=df,
         )
         velo = (worldclasspower/2.8)**(1./3.)
-        try:
-            duration = distance/velo
-            wcdurations.append(duration)
-            wcpower.append(worldclasspower)
-        except ZeroDivisionError:
-            pass
+        if not np.isinf(worldclasspower) and not np.isnan(worldclasspower):
+            try:
+                duration = distance/velo
+                wcdurations.append(duration)
+                wcpower.append(worldclasspower)
+            except ZeroDivisionError:
+                pass
 
 
 
@@ -421,13 +422,14 @@ def handle_getagegrouprecords(self,
             duration=duration,
             weightcategory=weightcategory,indf=df
         )
-        try:
-            velo = (worldclasspower/2.8)**(1./3.)
-            distance = int(60*duration*velo)
-            wcdurations.append(60.*duration)
-            wcpower.append(worldclasspower)
-        except ValueError:
-            pass
+        if not np.isinf(worldclasspower) and not np.isnan(worldclasspower):
+            try:
+                velo = (worldclasspower/2.8)**(1./3.)
+                distance = int(60*duration*velo)
+                wcdurations.append(60.*duration)
+                wcpower.append(worldclasspower)
+            except ValueError:
+                pass
 
     update_agegroup_db(age,sex,weightcategory,wcdurations,wcpower,
                        debug=debug)

rowers/uploads.py

@@ -294,7 +294,7 @@ def upload_options(body):
         try:
             for key, value in yml.iteritems():
                 lowkey = key.lower()
-                if lowkey == 'sync' or lowkey == 'synchronization':
+                if lowkey == 'sync' or lowkey == 'synchronization' or lowkey == 'export':
                     uploadoptions = getsyncoptions(uploadoptions,value)
                 if lowkey == 'chart' or lowkey == 'static' or lowkey == 'plot':
                     uploadoptions = getplotoptions(uploadoptions,value)

rowers/views.py

@@ -643,17 +643,7 @@ def get_thumbnails(request,id):
 
     aantalcomments = len(comments)
 
-    workouttype = 'ote'
-    if row.workouttype in mytypes.otwtypes:
-        workouttype = 'otw'
-
-    try:
-        favorites = FavoriteChart.objects.filter(user=r,
-                                           workouttype__in=[workouttype,'both']).order_by("id")
-        maxfav = len(favorites)-1
-    except:
-        favorites = None
-        maxfav = 0
+    favorites,maxfav = getfavorites(r,row)
 
     charts = []
     
@@ -5989,6 +5979,7 @@ def multiflex_data(request,userid=0,
     if userid==0:
         userid = request.user.id
 
+        
     palette = options['palette']
     groupby = options['groupby']
     binsize = options['binsize']
@@ -6020,6 +6011,9 @@ def multiflex_data(request,userid=0,
     # prepare data frame
     datadf,extracols = dataprep.read_cols_df_sql(ids,fieldlist)
 
+    if xparam == groupby:
+        datadf['groupby'] = datadf[xparam]
+        groupy = 'groupby'
 
     datadf = dataprep.clean_df_stats(datadf,workstrokesonly=workstrokesonly)
 
@@ -6070,14 +6064,18 @@ def multiflex_data(request,userid=0,
                                            labels=False))
             
 
-    xvalues = groups.mean()[xparam]
+    xvalues = groups.mean()[xparam]    
     yvalues = groups.mean()[yparam]
     xerror = groups.std()[xparam]
     yerror = groups.std()[yparam]
     groupsize = groups.count()[xparam]
 
+    print groupsize.sum(),groupsize.mean()
+
     mask = groupsize <= min([0.01*groupsize.sum(),0.2*groupsize.mean()])
+    print '--------------------------'
     xvalues.loc[mask] = np.nan
+
     yvalues.loc[mask] = np.nan
     xerror.loc[mask] = np.nan
     yerror.loc[mask] = np.nan
@@ -6089,7 +6087,6 @@ def multiflex_data(request,userid=0,
     yerror.dropna(inplace=True)
     groupsize.dropna(inplace=True)
 
-    
     if len(groupsize) == 0:
         messages.error(request,'No data in selection')
         url = reverse(user_multiflex_select)
@@ -6107,6 +6104,7 @@ def multiflex_data(request,userid=0,
         'groupsize':groupsize,
     })
 
+
     if yparam == 'pace':
         df['y'] = dataprep.paceformatsecs(df['y']/1.0e3)
     
@@ -6138,8 +6136,9 @@ def multiflex_data(request,userid=0,
             df['groupval'] = groups.mean()['days ago'].fillna(value=0)
             groupcols = 100.*np.arange(aantal)/float(aantal)
                     
-
+            
     groupcols = (groupcols-groupcols.min())/(groupcols.max()-groupcols.min())
+
     if aantal == 1:
         groupcols = np.array([1.])