Manual Entry working
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@@ -1242,7 +1242,7 @@ def fetchcp(rower,theworkouts,table='cpdata'):
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def create_row_df(r,distance,duration,startdatetime,workouttype='rower',
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avghr=None,avgpwr=None,avgspm=None,
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rankingpiece = False,
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duplicate=False,
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duplicate=False,rpe=-1,
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title='Manual entry',notes='',weightcategory='hwt',
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adaptiveclass='None'):
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@@ -1351,6 +1351,7 @@ def save_workout_database(f2, r, dosmooth=True, workouttype='rower',
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workoutsource='unknown',
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notes='', totaldist=0, totaltime=0,
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rankingpiece=False,
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rpe=-1,
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duplicate=False,
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summary='',
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makeprivate=False,
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@@ -1571,6 +1572,7 @@ def save_workout_database(f2, r, dosmooth=True, workouttype='rower',
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if title is not None and len(title)>140:
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title = title[0:140]
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w = Workout(user=r, name=title, date=workoutdate,
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workouttype=workouttype,
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boattype=boattype,
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@@ -1583,6 +1585,7 @@ def save_workout_database(f2, r, dosmooth=True, workouttype='rower',
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workoutsource=workoutsource,
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rankingpiece=rankingpiece,
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forceunit=forceunit,
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rpe=rpe,
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csvfilename=f2, notes=notes, summary=summary,
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maxhr=maxhr, averagehr=averagehr,
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startdatetime=workoutstartdatetime,
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@@ -1655,24 +1655,25 @@ def getfatigues(
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ws = Workout.objects.filter(user=user.rower,date=date,duplicate=False)
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weight = 0
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for w in ws:
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weight += factor*getattr(w,metricchoice)
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if getattr(w,metricchoice) > 0:
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weight += factor*getattr(w,metricchoice)
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if getattr(w,metricchoice) <= 0:
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if metricchoice == 'rscore' and w.hrtss > 0:
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weight+= factor*w.hrtss
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else:
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elif metricchoice == 'rscore' and w.hrtss <= 0:
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trimp,hrtss = dataprep.workout_trimp(w)
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rscore,normp = dataprep.workout_rscore(w)
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if w.rpe and w.rpe > 0:
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dd = 3600*w.duration.hour+60*w.duration.minute+w.duration.second
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dd = dd/3600
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weight += factor*rpetotss[w.rpe]*dd
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if metricchoice == 'trimp' and w.trimp <= 0:
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elif metricchoice == 'trimp' and w.trimp <= 0:
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trimp,hrtss = dataprep.workout_trimp(w)
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rscore,normp = dataprep.workout_rscore(w)
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if w.rpe and w.rpe > 0:
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dd = 3600*w.duration.hour+60*w.duration.minute+w.duration.second
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dd = dd/3600
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weight += factor*rpetotss[w.rpe]*dd
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weight += 2*rpetotss[w.rpe]*dd
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impulses.append(weight)
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@@ -636,6 +636,7 @@ def addmanual_view(request,raceid=0):
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id,message = dataprep.create_row_df(r,
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distance,
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duration,startdatetime,
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rpe=rpe,
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weightcategory=weightcategory,
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adaptiveclass=adaptiveclass,
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avghr=avghr,
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@@ -661,6 +662,7 @@ def addmanual_view(request,raceid=0):
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w.notes = notes
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w.plannedsession = ps
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w.name = name
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w.rpe = rpe
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w.workouttype = workouttype
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w.boattype = boattype
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w.save()
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