differnt way of calculating, adding tsb model

rowers/forms.py

@@ -743,7 +743,7 @@ class FitnessFitForm(forms.Form):
                                       initial='rscore',
                                       label='Workload Metric')
 
-    modelchoices = forms.ChoiceField(required=True,
+    modelchoice = forms.ChoiceField(required=True,
                                      choices=modelchoices,
                                      initial='tsb',
                                      label='Model to use')

rowers/interactiveplots.py

@@ -1530,7 +1530,8 @@ def interactive_forcecurve(theworkouts,workstrokesonly=True,plottype='scatter'):
 def fitnessfit_chart(workouts,user,workoutmode='water',startdate=None,
                      enddate=None,kfitness=42,kfatigue=7,fitnesstest=20,
                      metricchoice='rscore',
-                     k1=1,k2=1,p0=100):
+                     k1=1,k2=1,p0=100,
+                     modelchoice='tsb'):
 
     TOOLS = 'save,pan,box_zoom,wheel_zoom,reset,tap,hover,crosshair'
 
@@ -1598,10 +1599,7 @@ def fitnessfit_chart(workouts,user,workoutmode='water',startdate=None,
             fitnesses.append(np.nan)
 
 
-    allworkouts = Workout.objects.filter(user=user.rower,date__lte=enddate,
+
-                                          date__gte=startdate,
-                                          duplicate=False,
-                                          )
 
     df = pd.DataFrame({
         'date':dates,
@@ -1613,9 +1611,13 @@ def fitnessfit_chart(workouts,user,workoutmode='water',startdate=None,
 
 
     df['testdup'] = df['testpower'].shift(1)
-    df['testpower'] = df.apply(lambda x: np.nan if abs(x['testpower'] - x['testdup']) < 4 \
+    df['testpower'] = df.apply(lambda x: np.nan if abs(x['testpower'] - x['testdup']) < 1 \
                                else x['testpower'],axis=1)
 
+    df['testpower'].iloc[-1] = df['testdup'].iloc[-1]
+
+    
+
     dates = [d for d in df['date']]
     testpower = df['testpower'].values.tolist()
     fatigues = df['fatigue'].values.tolist()
@@ -1623,28 +1625,28 @@ def fitnessfit_chart(workouts,user,workoutmode='water',startdate=None,
 
 
 
-    for w in allworkouts:
+    fatigue = 0
-        # create Fitness and Fatigue number
+    fitness = 0
-        fatigue = 0
+    lambda_a = 2/(kfatigue+1)
-        fitness = 0
+    lambda_c = 2/(kfitness+1)
-
+    nrdays = (enddate-startdate).days
-        previousworkouts = Workout.objects.filter(user=user.rower,date__lte=w.date,
+    for i in range(nrdays):
-                                                      date__gte=startdate,
+        date = startdate+datetime.timedelta(days=i)
-                                                      duplicate=False)
+        ws = Workout.objects.filter(user=user.rower,date=date,duplicate=False)
-        for ww in previousworkouts:
+        weight = 0
-            delta = (w.date-ww.date).days
+        for w in ws:
-            weight = getattr(ww,metricchoice)
+            weight += getattr(w,metricchoice)
-            fatigue += weight*math.exp(-delta/kfatigue)
+        if modelchoice == 'tsb':
-            fitness += weight*math.exp(-delta/kfitness)
+            fatigue = (1-lambda_a)*fatigue+weight*lambda_a
+            fitness = (1-lambda_c)*fitness+weight*lambda_c
+        else:
+            fatigue = fatigue*math.exp(-1./kfatigue) + weight
+            fitness = fitness*math.exp(-1./kfitness) + weight
 
         fatigues.append(fatigue)
         fitnesses.append(fitness)
+        dates.append(datetime.datetime.combine(date,datetime.datetime.min.time()))
         testpower.append(np.nan)
-        dates.append(
-            datetime.datetime.combine(
-                w.date,datetime.datetime.min.time())
-            )
-
 
 
     df = pd.DataFrame({
@@ -1654,8 +1656,13 @@ def fitnessfit_chart(workouts,user,workoutmode='water',startdate=None,
         'fitness':fitnesses,
     })
 
-    df['fatigue'] = k2*df['fatigue']
+
-    df['fitness'] = p0+k1*df['fitness']
+
+    if modelchoice == 'banister':
+        df['fatigue'] = k2*df['fatigue']
+        df['fitness'] = p0+k1*df['fitness']
+
+
     df['form'] = df['fitness']-df['fatigue']
 
 
@@ -1713,19 +1720,37 @@ def fitnessfit_chart(workouts,user,workoutmode='water',startdate=None,
                    y_range_name = "watermark",
                    )
 
+    if modelchoice == 'banister':
+        fitlabel = 'PTE (fitness)'
+        fatiguelabel = 'NTE (fatigue)'
+        formlabel = 'Performance'
+    else:
+        fitlabel = 'CTL'
+        fatiguelabel = 'ATL'
+        formlabel = 'TSB'
+
     plot.circle('date','testpower',source=source,fill_color='green',size=10,
                 legend_label='{fitnesstest} min power'.format(fitnesstest=fitnesstest))
 
-    plot.line('date','fitness',source=source,color='yellow',
-              legend_label='fitness')
-    plot.line('date','fatigue',source=source,color='red',
-              legend_label='fatigue')
-    plot.line('date','form',source=source,color='green',
-              legend_label='form')
-
     plot.xaxis.axis_label = 'Date'
     plot.yaxis.axis_label = 'Power (W)'
 
+
+    y2rangemin = df.loc[:,['fitness','fatigue','form']].min().min()
+    y2rangemax = df.loc[:,['fitness','fatigue','form']].max().max()
+    plot.extra_y_ranges["yax2"] = Range1d(start=y2rangemin,end=y2rangemax)
+    plot.add_layout(LinearAxis(y_range_name="yax2",axis_label="Score"),"right")
+
+    plot.line('date','fitness',source=source,color='blue',
+              legend_label=fitlabel,y_range_name="yax2")
+    plot.line('date','fatigue',source=source,color='red',
+              legend_label=fatiguelabel,y_range_name="yax2")
+    plot.line('date','form',source=source,color='green',
+              legend_label=formlabel,y_range_name="yax2")
+
+
+
+
     plot.legend.location = "top_left"
 
     plot.xaxis.formatter = DatetimeTickFormatter(

rowers/views/analysisviews.py

@@ -1556,6 +1556,7 @@ def fitness_from_cp_view(request,userid=0,mode='rower',
     kfatigue = 7
     fitnesstest = 20
     metricchoice = 'rscore'
+    modelchoice = 'tsb'
 
     # temp fit parameters
     k1 = 1
@@ -1576,6 +1577,7 @@ def fitness_from_cp_view(request,userid=0,mode='rower',
             k1 = form.cleaned_data['k1']
             k2 = form.cleaned_data['k2']
             p0 = form.cleaned_data['p0']
+            modelchoice = form.cleaned_data['modelchoice']
     else:
         form = FitnessFitForm()
 
@@ -1598,7 +1600,8 @@ def fitness_from_cp_view(request,userid=0,mode='rower',
         kfatigue=kfatigue,
         fitnesstest=fitnesstest,
         metricchoice=metricchoice,
-        k1=k1,k2=k2,p0=p0
+        k1=k1,k2=k2,p0=p0,
+        modelchoice=modelchoice,
     )
 
     breadcrumbs = [