Merge branch 'release/v14.70'

requirements.txt

@@ -192,7 +192,7 @@ requests==2.23.0
 requests-oauthlib==1.2.0
 requests-toolbelt==0.9.1
 rfc3986==1.4.0
-rowingdata==3.0.1
+rowingdata==3.0.4
 rowingphysics==0.5.0
 rq==0.13.0
 rules==2.1

rowers/dataprep.py

@@ -1608,8 +1608,9 @@ def save_workout_database(f2, r, dosmooth=True, workouttype='rower',
     res = dataprep(row.df, id=w.id, bands=True,
                    barchart=True, otwpower=True, empower=True, inboard=inboard)
 
-    rscore,normp = workout_rscore(w)
-    trimp,hrtss = workout_trimp(w)
+
+    job = myqueue(queuehigh,handle_calctrimp,w.id,f2,r.ftp,r.sex,r.hrftp,r.max,r.rest)
+
 
     isbreakthrough = False
     ishard = False
@@ -1949,8 +1950,6 @@ def new_workout_from_file(r, f2,
         impeller=impeller,
     )
 
-    job = myqueue(queuehigh,handle_calctrimp,id,f2,r.ftp,r.sex,r.hrftp,r.max,r.rest)
-
     return (id, message, f2)
 
 

rowers/garmin_stuff.py

@@ -259,6 +259,8 @@ def garmin_workouts_from_details(data):
             w.summary=summary
             w.uploadedtogarmin = garminid
             w.save()
+            trimp,hrtss = dataprep.workout_trimp(w)
+            rscore,normp = dataprep.workout_rscore(w)
         except Rower.DoesNotExist:
             pass
 

rowers/interactiveplots.py

@@ -23,7 +23,7 @@ from bokeh.palettes import Set1_4 as palette2
 from bokeh.models.glyphs import MultiLine
 import itertools
 from bokeh.plotting import figure, ColumnDataSource, Figure,curdoc
-from bokeh.models import CustomJS,Slider, TextInput,BoxAnnotation
+from bokeh.models import CustomJS,Slider, TextInput,BoxAnnotation, Band
 
 from rowers.utils import myqueue
 import django_rq
@@ -1694,6 +1694,13 @@ def fitnessfit_chart(workouts,user,workoutmode='water',startdate=None,
         weight = 0
         for w in ws:
             weight += getattr(w,metricchoice)
+            if getattr(w,metricchoice) == 0:
+                if metricchoice == 'rscore' and w.hrtss != 0:
+                    weight+= w.hrtss
+                else:    
+                    trimp,hrtss = dataprep.workout_trimp(w)
+                    rscore,normp = dataprep.workout_rscore(w)
+
 
         fatigue = (1-lambda_a)*fatigue+weight*lambda_a
         fitness = (1-lambda_c)*fitness+weight*lambda_c
@@ -1790,7 +1797,7 @@ def fitnessfit_chart(workouts,user,workoutmode='water',startdate=None,
         legend_label = 'Test Score'
         yaxlabel = 'Test Score'
     else:
-        legend_label = '{fitnesstest} min power'
+        legend_label = '{fitnesstest} min power'.format(fitnesstest=fitnesstest)
         yaxlabel = 'Test Power (Watt)'
 
     plot.circle('date','testpower',source=source,fill_color='green',size=10,
@@ -1807,6 +1814,9 @@ def fitnessfit_chart(workouts,user,workoutmode='water',startdate=None,
 
     plot.line('date','fitness',source=source,color='blue',
               legend_label=fitlabel,y_range_name="yax2")
+    band = Band(base='date', upper='fitness', source=source, level='underlay',
+            fill_alpha=0.2, fill_color='blue',y_range_name="yax2")
+    plot.add_layout(band)
     plot.line('date','fatigue',source=source,color='red',
               legend_label=fatiguelabel,y_range_name="yax2")
     plot.line('date','form',source=source,color='green',

rowers/tasks.py

@@ -308,7 +308,10 @@ def getagegrouprecord(age,sex='male',weightcategory='hwt',
             df = pd.DataFrame()
     else:
         duration = 60*int(duration)
-        df = indf[indf['duration'] == duration]
+        try:
+            df = indf[indf['duration'] == duration]
+        except KeyError:
+            df = pd.DataFrame()
 
     if not df.empty:
         ages = df['age']
@@ -3064,8 +3067,6 @@ def fetch_strava_workout(stravatoken,oauth_data,stravaid,csvfilename,userid,debu
         'stravaid':stravaid,
     }
 
-    print(uploadoptions)
-
     session = requests.session()
     newHeaders = {'Content-type': 'application/json', 'Accept': 'text/plain'}
     session.headers.update(newHeaders)

rowers/views/workoutviews.py

@@ -3411,8 +3411,7 @@ def workout_stats_view(request,id=0,message="",successmessage=""):
     stats = {}
 
     fieldlist,fielddict = dataprep.getstatsfields()
-    #    fielddict.pop('workoutstate')
-    #    fielddict.pop('workoutid')
+
     try:
         fielddict.pop('pace')
     except KeyError: