Merge branch 'feature/nkoauth' into develop

rowers/dataprep.py

@@ -1586,9 +1586,9 @@ def rdata(file, rower=rrower()):
         try:
             res = rrdata(csvfile=file + '.gz', rower=rower)
         except IOError, IndexError:
-            res = 0
+            res = rrdata()
         except:
-            res = 0
+            res = rrdata()
 
     return res
 
@@ -1637,7 +1637,7 @@ def getrowdata_db(id=0, doclean=False, convertnewtons=True):
 
     if data.empty:
         rowdata, row = getrowdata(id=id)
-        if rowdata:
+        if not rowdata.empty:
             data = dataprep(rowdata.df, id=id, bands=True,
                             barchart=True, otwpower=True)
         else:
@@ -1645,7 +1645,8 @@ def getrowdata_db(id=0, doclean=False, convertnewtons=True):
     else:
         row = Workout.objects.get(id=id)
 
-    if data['efficiency'].mean() == 0 and data['power'].mean() != 0:
+    
+    if not data.empty and data['efficiency'].mean() == 0 and data['power'].mean() != 0:
         data = add_efficiency(id=id)
 
     if doclean:

rowers/serializers.py

@@ -21,6 +21,7 @@ class RowerSerializer(serializers.HyperlinkedModelSerializer):
             'tr',
             'an',
             'ftp',
+            'sex',
             )
 
 class FavoriteChartSerializer(serializers.ModelSerializer):
@@ -52,6 +53,13 @@ class WorkoutSerializer(serializers.ModelSerializer):
             'maxhr',
             'notes',
             'summary',
+            'boattype',            
+            'timezone',
+            'forceunit',
+            'inboard',
+            'oarlength',
+            'privacy',
+            'rankingpiece'
         )
 
     def create(self, validated_data):
@@ -78,7 +86,13 @@ class WorkoutSerializer(serializers.ModelSerializer):
                     summary=validated_data['summary'],
 		    averagehr=validated_data['averagehr'],
                     maxhr=validated_data['maxhr'],
-		    startdatetime=rowdatetime)
+		    startdatetime=rowdatetime,
+                    timezone=validated_data['timezone'],
+                    forceunit=validated_data['forceunit'],
+                    inboard=validated_data['inboard'],
+                    oarlength=validated_data['oarlength'],
+                    privacy=validated_data['privacy'],
+                    rankingpiece=validated_data['rankingpiece'],)
         w.save()
         return w
         
@@ -104,6 +118,13 @@ class WorkoutSerializer(serializers.ModelSerializer):
 	instance.averagehr=validated_data['averagehr']
         instance.maxhr=validated_data['maxhr']
 	instance.startdatetime=rowdatetime
+        instance.timezone=validated_data['timezone']
+        instance.forceunit=validated_data['forceunit']
+        instance.inboard=validated_data['inboard']
+        instance.oarlength=validated_data['oarlength']
+        instance.privacy=validated_data['privacy']
+        instance.rankingpiece=validated_data['rankingpiece']
+
         instance.save()
         return instance
 

rowers/templates/developers.html

@@ -203,6 +203,12 @@
       <li><b>peakdriveforce</b>: Peak handle force (lbs)</li>
       <li><b>lapidx</b>: Lap identifier</li>
       <li><b>hr</b>: Heart rate (beats per minute)</li>
+      <li><b>wash</b>: Wash as defined per Empower oarlock (degrees)</li>
+      <li><b>catch</b>: Catch angle per Empower oarlock (degrees)</li>
+      <li><b>finish</b>: Finish angle per Empower oarlock (degrees)</li>
+      <li><b>peakforceangle</b>: Peak Force Angle per Empower oarlock (degrees)</li>
+      <li><b>slip</b>: Wash as defined per Empower oarlock (degrees)</li>
+
     </ul>
 
     <p>Consistency checks will be done and the stroke data will be

rowers/templates/strokedata_form.html

@@ -11,7 +11,7 @@
 	<div class="grid_12 alpha">
 	<h1>Stroke Data for workout {{ id }}</h1>
 
-    <form enctype="multipart/form-data" action="/rowers/api/workouts/{{ id }}/strokedata" method="post">
+    <form enctype="application/json" action="/rowers/api/workouts/{{ id }}/strokedata" method="post">
         <table>
             {{ form.as_table }}
         </table>

rowers/views.py

@@ -11480,7 +11480,10 @@ def strokedatajson(request,id):
         df.index = df.index.astype(int)
         df.sort_index(inplace=True)
         # time, hr, pace, spm, power, drivelength, distance, drivespeed, dragfactor, strokerecoverytime, averagedriveforce, peakdriveforce, lapidx
+        try:
             time = df['time']/1.e3
+        except KeyError:
+            return HttpResponse("There must be time values",status=400)
         aantal = len(time)
         pace = df['pace']/1.e3
         if len(pace) != aantal:
@@ -11505,14 +11508,20 @@ def strokedatajson(request,id):
         strokerecoverytime = trydf(df,aantal,'strokerecoverytime')
         averagedriveforce = trydf(df,aantal,'averagedriveforce')
         peakdriveforce = trydf(df,aantal,'peakdriveforce')
+        wash = trydf(df,aantal,'wash')
+        catch = trydf(df,aantal,'catch')
+        finish = trydf(df,aantal,'finish')
+        peakforceangle = trydf(df,aantal,'peakforceangle')
+        driveenergy = trydf(df,aantal,'driveenergy')
+        slip = trydf(df,aantal,'slip')
         lapidx = trydf(df,aantal,'lapidx')
         hr = trydf(df,aantal,'hr')
 
-        starttime = totimestamp(row.startdatetime)+time
+        starttime = totimestamp(row.startdatetime)+time[0]
         unixtime = starttime+time
 
         with open('media/apilog.log','a') as logfile:
-            logfile.write(starttime+": ")
+            logfile.write(str(starttime)+": ")
             logfile.write(request.user.username+"(POST) \r\n")
             
         data = pd.DataFrame({'TimeStamp (sec)':unixtime,
@@ -11529,10 +11538,18 @@ def strokedatajson(request,id):
 			     ' PeakDriveForce (lbs)':peakdriveforce,
 			     ' lapIdx':lapidx,
 			     ' ElapsedTime (sec)':time,
+                             'catch':catch,
+                             'slip':slip,
+                             'finish':finish,
+                             'wash':wash,
+                             'driveenergy':driveenergy,
+                             'peakforceangle':peakforceangle,
 	})
 
         # Following part should be replaced with dataprep.new_workout_from_df
 
+	r = getrower(request.user)
+        
         timestr = row.startdatetime.strftime("%Y%m%d-%H%M%S")
         csvfilename ='media/Import_'+timestr+'.csv'
         
@@ -11541,7 +11558,6 @@ def strokedatajson(request,id):
         row.csvfilename = csvfilename
         row.save()
 
-	r = getrower(request.user)
         powerperc = 100*np.array([r.pw_ut2,
                                   r.pw_ut1,
                                   r.pw_at,