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hr pie v1

This commit is contained in:
2024-03-24 14:30:16 +01:00
parent e80fa1e4f9
commit 2fee1fcdb6
10 changed files with 226 additions and 688 deletions

View File

@@ -1382,398 +1382,6 @@ def ajax_agegrouprecords(request,
)
# Show ranking distances including predicted paces
@login_required()
@permission_required('rower.is_coach', fn=get_user_by_userid, raise_exception=True)
def rankings_view2(request, userid=0,
startdate=timezone.now()-datetime.timedelta(days=365),
enddate=timezone.now(),
deltadays=-1,
startdatestring="",
enddatestring=""):
if deltadays > 0: # pragma: no cover
startdate = enddate-datetime.timedelta(days=int(deltadays))
if startdatestring != "": # pragma: no cover
startdate = iso8601.parse_date(startdatestring)
if enddatestring != "": # pragma: no cover
enddate = iso8601.parse_date(enddatestring)
if enddate < startdate: # pragma: no cover
s = enddate
enddate = startdate
startdate = s
if userid == 0:
userid = request.user.id
else:
lastupdated = "1900-01-01"
promember = 0
r = getrequestrower(request, userid=userid)
theuser = r.user
wcdurations = []
wcpower = []
lastupdated = "1900-01-01"
userid = 0
if 'options' in request.session:
options = request.session['options']
try:
wcdurations = options['wcdurations']
wcpower = options['wcpower']
lastupdated = options['lastupdated']
except KeyError: # pragma: no cover
pass
try:
userid = options['userid']
except KeyError: # pragma: no cover
userid = 0
else:
options = {}
lastupdatedtime = arrow.get(lastupdated).timestamp()
current_time = arrow.utcnow().timestamp()
deltatime_seconds = current_time - lastupdatedtime
recalc = False
if str(userid) != str(theuser) or deltatime_seconds > 3600:
recalc = True
options['lastupdated'] = arrow.utcnow().isoformat()
else: # pragma: no cover
recalc = False
options['userid'] = theuser.id
if r.birthdate:
age = calculate_age(r.birthdate)
else:
age = 0
agerecords = CalcAgePerformance.objects.filter(
age=age,
sex=r.sex,
weightcategory=r.weightcategory)
if len(agerecords) == 0:
recalc = True
wcpower = []
wcdurations = []
else:
wcdurations = []
wcpower = []
for record in agerecords:
wcdurations.append(record.duration)
wcpower.append(record.power)
options['wcpower'] = wcpower
options['wcdurations'] = wcdurations
if theuser:
options['userid'] = theuser.id
request.session['options'] = options
result = request.user.is_authenticated and ispromember(request.user)
if result:
promember = 1
# get all indoor rows in date range
# process form
if request.method == 'POST' and "daterange" in request.POST:
dateform = DateRangeForm(request.POST)
deltaform = DeltaDaysForm(request.POST)
if dateform.is_valid():
startdate = dateform.cleaned_data['startdate']
enddate = dateform.cleaned_data['enddate']
if startdate > enddate: # pragma: no cover
s = enddate
enddate = startdate
startdate = s
elif request.method == 'POST' and "datedelta" in request.POST: # pragma: no cover
deltaform = DeltaDaysForm(request.POST)
if deltaform.is_valid():
deltadays = deltaform.cleaned_data['deltadays']
if deltadays:
enddate = timezone.now()
startdate = enddate-datetime.timedelta(days=deltadays)
if startdate > enddate:
s = enddate
enddate = startdate
startdate = s
dateform = DateRangeForm(initial={
'startdate': startdate,
'enddate': enddate,
})
else:
dateform = DateRangeForm()
deltaform = DeltaDaysForm()
else:
dateform = DateRangeForm(initial={
'startdate': startdate,
'enddate': enddate,
})
deltaform = DeltaDaysForm()
# get all 2k (if any) - this rower, in date range
try:
r = getrower(theuser)
except Rower.DoesNotExist: # pragma: no cover
r = 0
uu = theuser
# test to fix bug
startdate = datetime.datetime.combine(startdate, datetime.time())
enddate = datetime.datetime.combine(enddate, datetime.time(23, 59, 59))
startdate = arrow.get(startdate).datetime
enddate = arrow.get(enddate).datetime
thedistances = []
theworkouts = []
thesecs = []
rankingdistances.sort()
rankingdurations.sort()
for rankingdistance in rankingdistances:
workouts = Workout.objects.filter(
user=r, distance=rankingdistance,
workouttype__in=['rower', 'dynamic', 'slides'],
rankingpiece=True,
startdatetime__gte=startdate,
startdatetime__lte=enddate).order_by('duration')
if workouts:
thedistances.append(rankingdistance)
theworkouts.append(workouts[0])
timesecs = 3600*workouts[0].duration.hour
timesecs += 60*workouts[0].duration.minute
timesecs += workouts[0].duration.second
timesecs += 1.e-6*workouts[0].duration.microsecond
thesecs.append(timesecs)
for rankingduration in rankingdurations:
workouts = Workout.objects.filter(
user=r, duration=rankingduration,
workouttype='rower',
rankingpiece=True,
startdatetime__gte=startdate,
startdatetime__lte=enddate).order_by('-distance')
if workouts:
thedistances.append(workouts[0].distance)
theworkouts.append(workouts[0])
timesecs = 3600*workouts[0].duration.hour
timesecs += 60*workouts[0].duration.minute
timesecs += workouts[0].duration.second
timesecs += 1.e-5*workouts[0].duration.microsecond
thesecs.append(timesecs)
thedistances = np.array(thedistances)
thesecs = np.array(thesecs)
thevelos = thedistances/thesecs
theavpower = 2.8*(thevelos**3)
# create interactive plot
if len(thedistances) != 0:
res = interactive_cpchart(
r, thedistances, thesecs, theavpower,
theworkouts, promember=promember,
wcdurations=wcdurations, wcpower=wcpower
)
script = res[0]
div = res[1]
paulslope = res[2]
paulintercept = res[3]
p1 = res[4]
message = res[5]
else:
script = ''
div = '<p>No ranking pieces found.</p>'
paulslope = 1
paulintercept = 1
p1 = [1, 1, 1, 1]
message = ""
if request.method == 'POST' and "piece" in request.POST: # pragma: no cover
form = PredictedPieceForm(request.POST)
if form.is_valid():
value = form.cleaned_data['value']
hourvalue, value = divmod(value, 60)
if hourvalue >= 24:
hourvalue = 23
pieceunit = form.cleaned_data['pieceunit']
if pieceunit == 'd':
rankingdistances.append(value)
else:
rankingdurations.append(datetime.time(
minute=int(value), hour=int(hourvalue)))
else:
form = PredictedPieceForm()
rankingdistances.sort()
rankingdurations.sort()
predictions = []
cpredictions = []
for rankingdistance in rankingdistances:
# Paul's model
p = paulslope*np.log10(rankingdistance)+paulintercept
velo = 500./p
t = rankingdistance/velo
pwr = 2.8*(velo**3)
try:
pwr = int(pwr)
except (ValueError, AttributeError): # pragma: no cover
pwr = 0
a = {'distance': rankingdistance,
'duration': timedeltaconv(t),
'pace': timedeltaconv(p),
'power': int(pwr)}
predictions.append(a)
# CP model -
pwr2 = p1[0]/(1+t/p1[2])
pwr2 += p1[1]/(1+t/p1[3])
if pwr2 <= 0: # pragma: no cover
pwr2 = 50.
velo2 = (pwr2/2.8)**(1./3.)
if np.isnan(velo2) or velo2 <= 0: # pragma: no cover
velo2 = 1.0
t2 = rankingdistance/velo2
pwr3 = p1[0]/(1+t2/p1[2])
pwr3 += p1[1]/(1+t2/p1[3])
if pwr3 <= 0: # pragma: no cover
pwr3 = 50.
velo3 = (pwr3/2.8)**(1./3.)
if np.isnan(velo3) or velo3 <= 0: # pragma: no cover
velo3 = 1.0
t3 = rankingdistance/velo3
p3 = 500./velo3
a = {'distance': rankingdistance,
'duration': timedeltaconv(t3),
'pace': timedeltaconv(p3),
'power': int(pwr3)}
cpredictions.append(a)
for rankingduration in rankingdurations:
t = 3600.*rankingduration.hour
t += 60.*rankingduration.minute
t += rankingduration.second
t += rankingduration.microsecond/1.e6
# Paul's model
ratio = paulintercept/paulslope
u = ((2**(2+ratio))*(5.**(3+ratio))*t*np.log(10))/paulslope
d = 500*t*np.log(10.)
d = d/(paulslope*lambertw(u))
d = d.real
velo = d/t
p = 500./velo
pwr = 2.8*(velo**3)
try:
a = {'distance': int(d),
'duration': timedeltaconv(t),
'pace': timedeltaconv(p),
'power': int(pwr)}
predictions.append(a)
except: # pragma: no cover
pass
# CP model
pwr = p1[0] / (1 + t / p1[2])
pwr += p1[1] / (1 + t / p1[3])
if pwr <= 0: # pragma: no cover
pwr = 50.
velo = (pwr / 2.8)**(1. / 3.)
if np.isnan(velo) or velo <= 0: # pragma: no cover
velo = 1.0
d = t * velo
p = 500. / velo
a = {'distance': int(d),
'duration': timedeltaconv(t),
'pace': timedeltaconv(p),
'power': int(pwr)}
cpredictions.append(a)
if recalc:
wcdurations = []
wcpower = []
durations = [1, 4, 30, 60]
distances = [100, 500, 1000, 2000, 5000, 6000, 10000, 21097, 42195]
df = pd.DataFrame(
list(
C2WorldClassAgePerformance.objects.filter(
sex=r.sex,
weightcategory=r.weightcategory
).values()
)
)
jsondf = df.to_json()
job = myqueue(queue,
handle_getagegrouprecords,
jsondf, distances, durations, age, r.sex, r.weightcategory)
try:
request.session['async_tasks'] += [(job.id, 'agegrouprecords')]
except KeyError:
request.session['async_tasks'] = [(job.id, 'agegrouprecords')]
messages.error(request, message)
return render(request, 'rankings.html',
{'rankingworkouts': theworkouts,
'interactiveplot': script,
'the_div': div,
'predictions': predictions,
'cpredictions': cpredictions,
'nrdata': len(thedistances),
'form': form,
'dateform': dateform,
'deltaform': deltaform,
'id': theuser,
'theuser': uu,
'rower': r,
'active': 'nav-analysis',
'age': age,
'sex': r.sex,
'recalc': recalc,
'weightcategory': r.weightcategory,
'startdate': startdate,
'enddate': enddate,
'teams': get_my_teams(request.user),
})
@login_required()
def otecp_toadmin_view(request, theuser=0,
startdate=timezone.now() - datetime.timedelta(days=365),

View File

@@ -630,50 +630,6 @@ def otw_use_gps(request, id=0):
return HttpResponseRedirect(url)
# Show Stroke power histogram for a workout
@login_required()
@permission_required('workout.change_workout', fn=get_workout_by_opaqueid, raise_exception=True)
def workout_histo_view(request, id=0):
w = get_workoutuser(id, request)
r = getrequestrower(request)
mayedit = 0
if w.user == r:
mayedit = 1
res = interactive_histoall([w], 'power', False)
script = res[0]
div = res[1]
breadcrumbs = [
{
'url': '/rowers/list-workouts/',
'name': 'Workouts'
},
{
'url': get_workout_default_page(request, id),
'name': w.name
},
{
'url': reverse('workout_histo_view', kwargs={'id': id}),
'name': 'Histogram'
}
]
return render(request,
'histo_single.html',
{'interactiveplot': script,
'breadcrumbs': breadcrumbs,
'active': 'nav-workouts',
'workout': w,
'rower': r,
'the_div': div,
'id': id,
'mayedit': mayedit,
'teams': get_my_teams(request.user),
})
# add a workout manually
@login_required()