adding click to open workout

rowers/interactiveplots.py

@@ -132,6 +132,14 @@ def newtestpowerdate(x):
 
     return x['date']
 
+def workoutname(id):
+    try:
+        w = Workout.objects.get(id=id)
+    except Workout.DoesNotExist:
+        return ''
+
+    return str(w)
+
 def all_goldmedalstandards(workouts,startdate,enddate):
     dates = []
     testpowers = []
@@ -1824,6 +1832,7 @@ def goldmedalscorechart(user,startdate=None,enddate=None):
 
     # all workouts
     alldates,alltestpower,allduration = all_goldmedalstandards(workouts,startdate,enddate)
+    allids = [w.id for w in workouts]
 
     nrdays = (enddate-startdate).days
 
@@ -1832,6 +1841,7 @@ def goldmedalscorechart(user,startdate=None,enddate=None):
     score = []
     markerduration = []
     duration = []
+    workoutid = []
 
     previous = 0
 
@@ -1845,6 +1855,7 @@ def goldmedalscorechart(user,startdate=None,enddate=None):
         markerduration.append(testduration[i])
         score.append(np.nan)
         duration.append(np.nan)
+        workoutid.append(id)
 
     for i in range(len(alldates)):
         td.append(arrow.get(alldates[i]).datetime)
@@ -1852,6 +1863,7 @@ def goldmedalscorechart(user,startdate=None,enddate=None):
         score.append(alltestpower[i])
         markerduration.append(np.nan)
         duration.append(allduration[i])
+        workoutid.append(allids[i])
 
     for i in range(nrdays+1):
         td.append(arrow.get(startdate+datetime.timedelta(days=i)).datetime)
@@ -1859,6 +1871,7 @@ def goldmedalscorechart(user,startdate=None,enddate=None):
         score.append(np.nan)
         markerduration.append(np.nan)
         duration.append(np.nan)
+        workoutid.append(0)
 
 
     df = pd.DataFrame({
@@ -1867,6 +1880,7 @@ def goldmedalscorechart(user,startdate=None,enddate=None):
         'score':score,
         'duration':duration,
         'date':td,
+        'id':workoutid,
     })
 
 
@@ -1875,6 +1889,9 @@ def goldmedalscorechart(user,startdate=None,enddate=None):
     df = df.groupby(['date']).max()
     df['date'] = df.index.values
 
+    df['url'] = df['id'].apply(lambda x:settings.SITE_URL+'/rowers/workout/{id}/'.format(id=encoder.encode_hex(x)))
+    df['workout'] = df['id'].apply(lambda x:workoutname(x))
+
 
     source = ColumnDataSource(
         data = dict(
@@ -1884,6 +1901,8 @@ def goldmedalscorechart(user,startdate=None,enddate=None):
             duration = df['duration'].apply(lambda x:totaltime_sec_to_string(x,shorten=True)),
             date = df['date'],
             fdate = df['date'].map(lambda x: x.strftime('%d-%m-%Y')),
+            url = df['url'],
+            workout = df['workout']
         )
     )
 
@@ -1943,8 +1962,12 @@ def goldmedalscorechart(user,startdate=None,enddate=None):
         ('Score','@score{int}'),
         ('Duration', '@duration'),
         ('Date','@fdate'),
+        ('Workout','@workout')
     ])
 
+    taptool = plot.select(type=TapTool)
+    taptool.callback = OpenURL(url='@url')
+
     script, div = components(plot)
 
     return script, div,outids