using rpe to calculate trimp/tss

rowers/datautils.py

@@ -13,6 +13,20 @@ from rowers.mytypes import otwtypes,otetypes,rowtypes
 #p0 = [500,350,10,8000]
 p0 = [190,200,33,16000]
 
+# RPE to TSS
+rpetotss = {
+    1:20,
+    2:30,
+    3:40,
+    4:50,
+    5:60,
+    6:70,
+    7:80,
+    8:100,
+    9:120,
+    10:140,
+}
+
 def updatecp(delta,cpvalues,r,workouttype='water'):
     if workouttype in otwtypes:
         p0 = r.p0

rowers/interactiveplots.py

@@ -97,7 +97,7 @@ import rowers.c2stuff as c2stuff
 from rowers.metrics import axes,axlabels,yaxminima,yaxmaxima,get_yaxminima,get_yaxmaxima
 
 from rowers.utils import lbstoN
-from rowers.datautils import p0
+from rowers.datautils import p0,rpetotss
 import rowers.datautils as datautils
 
 from pandas.core.groupby.groupby import DataError
@@ -1650,18 +1650,29 @@ def getfatigues(
     if metricchoice == 'rscore':
         factor = 2.0
 
-    for i in range(nrdays):
+    for i in range(nrdays+1):
         date = startdate+datetime.timedelta(days=i)
         ws = Workout.objects.filter(user=user.rower,date=date,duplicate=False)
         weight = 0
         for w in ws:
             weight += factor*getattr(w,metricchoice)
             if getattr(w,metricchoice) <= 0:
-                if metricchoice == 'rscore' and w.hrtss != 0:
+                if metricchoice == 'rscore' and w.hrtss > 0:
                     weight+= factor*w.hrtss
                 else:
                     trimp,hrtss = dataprep.workout_trimp(w)
                     rscore,normp = dataprep.workout_rscore(w)
+                    if w.rpe and w.rpe > 0:
+                        dd = 3600*w.duration.hour+60*w.duration.minute+w.duration.second
+                        dd = dd/3600
+                        weight += factor*rpetotss[w.rpe]*dd
+                if metricchoice == 'trimp' and w.trimp <= 0:
+                    trimp,hrtss = dataprep.workout_trimp(w)
+                    rscore,normp = dataprep.workout_rscore(w)
+                    if w.rpe and w.rpe > 0:
+                        dd = 3600*w.duration.hour+60*w.duration.minute+w.duration.second
+                        dd = dd/3600
+                        weight += factor*rpetotss[w.rpe]*dd
 
         impulses.append(weight)
 

rowers/models.py

@@ -2948,7 +2948,7 @@ class Workout(models.Model):
     normp = models.IntegerField(default=-1,blank=True)
     normv = models.FloatField(default=-1,blank=True)
     normw = models.FloatField(default=-1,blank=True)
-    goldmedalstandard = models.FloatField(default=-1,blank=True)
+    goldmedalstandard = models.FloatField(default=-1,blank=True,verbose_name='Gold Medal Standard')
     rpe = models.IntegerField(default=0,blank=True,choices=rpechoices,
                               verbose_name='Rate of Perceived Exertion')
 

rowers/views/workoutviews.py

@@ -585,12 +585,16 @@ def addmanual_view(request,raceid=0):
             weightcategory = form.cleaned_data['weightcategory']
             adaptiveclass = form.cleaned_data['adaptiveclass']
             distance = form.cleaned_data['distance']
+            rpe = form.cleaned_data['rpe']
+            if not rpe:
+                rpe = -1
             notes = form.cleaned_data['notes']
             thetimezone = form.cleaned_data['timezone']
             private = form.cleaned_data['private']
             avghr = metricsform.cleaned_data['avghr']
             avgpwr = metricsform.cleaned_data['avgpwr']
             avgspm = metricsform.cleaned_data['avgspm']
+
             try:
                 ps = form.cleaned_data['plannedsession']
             except KeyError: