Merge branch 'release/v14.58'
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@@ -1594,20 +1594,35 @@ def fitnessfit_chart(workouts,user,workoutmode='water',startdate=None,
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dates.append(datetime.datetime.combine(w.date,datetime.datetime.min.time()))
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testpower.append(powertest)
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fatigues.append(np.nan)
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fitnesses.append(np.nan)
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# create Fitness and Fatigue number
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fatigue = 0
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fitness = 0
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previousworkouts = Workout.objects.filter(user=user.rower,date__lte=w.date,
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date__gte=startdate)
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for ww in previousworkouts:
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delta = (w.date-ww.date).days
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weight = getattr(ww,metricchoice)
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fatigue += weight*math.exp(-delta/kfatigue)
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fitness += weight*math.exp(-delta/kfitness)
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fatigues.append(fatigue)
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fitnesses.append(fitness)
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allworkouts = Workout.objects.filter(user=user.rower,date__lte=enddate,
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date__gte=startdate,
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duplicate=False,
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)
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for w in allworkouts:
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# create Fitness and Fatigue number
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fatigue = 0
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fitness = 0
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previousworkouts = Workout.objects.filter(user=user.rower,date__lte=w.date,
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date__gte=startdate,
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duplicate=False)
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for ww in previousworkouts:
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delta = (w.date-ww.date).days
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weight = getattr(ww,metricchoice)
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fatigue += weight*math.exp(-delta/kfatigue)
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fitness += weight*math.exp(-delta/kfitness)
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fatigues.append(fatigue)
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fitnesses.append(fitness)
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testpower.append(np.nan)
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dates.append(
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datetime.datetime.combine(
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w.date,datetime.datetime.min.time())
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)
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@@ -1623,16 +1638,19 @@ def fitnessfit_chart(workouts,user,workoutmode='water',startdate=None,
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df['form'] = df['fitness']-df['fatigue']
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df.sort_values(['date'],inplace=True)
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#df = df.fillna(0)
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df = df.groupby(['date']).max()
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df['date'] = df.index.values
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df['testdup'] = df['testpower'].shift(1)
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df['testpower'] = df.apply(lambda x: np.nan if abs(x['testpower'] - x['testdup']) < 4 \
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else x['testpower'],axis=1)
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#df = df.fillna(-100)
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#print(df)
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source = ColumnDataSource(
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data = dict(
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@@ -1581,10 +1581,12 @@ def fitness_from_cp_view(request,userid=0,mode='rower',
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workouts = Workout.objects.filter(user=therower,date__gte=startdate,
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date__lte=enddate,
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workouttype__in=mytypes.otwtypes)
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workouttype__in=mytypes.otwtypes,
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duplicate=False)
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if mode == 'rower':
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workouts = Workout.objects.filter(user=therower,date__gte=startdate,
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date__lte=enddate,workouttype__in=mytypes.otetypes)
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date__lte=enddate,workouttype__in=mytypes.otetypes,
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duplicate=False)
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