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proof of concept for HR, as a sstart

This commit is contained in:
Sander Roosendaal
2021-05-28 12:35:44 +02:00
parent 58874f56c0
commit de452fc781
5 changed files with 276 additions and 0 deletions

View File

@@ -6557,3 +6557,200 @@ def interactive_otw_advanced_pace_chart(id=0,promember=0):
div = ''
return [script,div]
def get_zones_report(rower,startdate,enddate):
duration = enddate-startdate
totaldays = duration.total_seconds()/(24*3600)
dates = []
dates_sorting = []
minutes = []
zones = []
workouts = Workout.objects.filter(
user=rower,
startdatetime__gte=startdate,
startdatetime__lte=enddate,
duplicate=False,
).order_by("-startdatetime")
ids = [w.id for w in workouts]
columns = ['workoutid','hr','power','time']
df = dataprep.getsmallrowdata_db(columns,ids=ids)
try:
df['deltat'] = df['time'].diff().clip(lower=0)
except KeyError:
pass
df = dataprep.clean_df_stats(df,workstrokesonly=False,
ignoreadvanced=True,ignorehr=False)
#totalmeters,totalhours, totalminutes, totalseconds = get_totals(workouts)
hrzones = rower.hrzones
for w in workouts:
dd = w.date.strftime('%m/%d')
dd2 = w.date.strftime('%Y/%m/%d')
dd3 = w.date.strftime('%Y/%m')
qryw = 'workoutid == {workoutid}'.format(workoutid=w.id)
qry = 'hr < {ut2}'.format(ut2=rower.ut2)
timeinzone = df.query(qry).query(qryw)['deltat'].sum()/(60*1e3)
if totaldays<30:
dates.append(dd)
dates_sorting.append(dd2)
else: # pragma: no cover
dates.append(dd3)
dates_sorting.append(dd3)
minutes.append(timeinzone)
zones.append('<UT2')
#print(w,dd,timeinzone,'<UT2')
qry = '{ut2} <= hr < {ut1}'.format(ut1=rower.ut1,ut2=rower.ut2)
timeinzone = df.query(qry).query(qryw)['deltat'].sum()/(60*1e3)
if totaldays<30:
dates.append(dd)
dates_sorting.append(dd2)
else: # pragma: no cover
dates.append(dd3)
dates_sorting.append(dd3)
minutes.append(timeinzone)
zones.append('UT2')
#print(w,dd,timeinzone,'UT2')
qry = '{ut1} <= hr < {at}'.format(ut1=rower.ut1,at=rower.at)
timeinzone = df.query(qry).query(qryw)['deltat'].sum()/(60*1e3)
if totaldays<30:
dates.append(dd)
dates_sorting.append(dd2)
else: # pragma: no cover
dates.append(dd3)
dates_sorting.append(dd3)
minutes.append(timeinzone)
zones.append('UT1')
#print(w,dd,timeinzone,'UT1')
qry = '{at} <= hr < {tr}'.format(at=rower.at,tr=rower.tr)
timeinzone = df.query(qry).query(qryw)['deltat'].sum()/(60*1e3)
if totaldays<30:
dates.append(dd)
dates_sorting.append(dd2)
else: # pragma: no cover
dates.append(dd3)
dates_sorting.append(dd3)
minutes.append(timeinzone)
zones.append('AT')
#print(w,dd,timeinzone,'AT')
qry = '{tr} <= hr < {an}'.format(tr=rower.tr,an=rower.an)
timeinzone = df.query(qry).query(qryw)['deltat'].sum()/(60*1e3)
if totaldays<30:
dates.append(dd)
dates_sorting.append(dd2)
else: # pragma: no cover
dates.append(dd3)
dates_sorting.append(dd3)
minutes.append(timeinzone)
zones.append('TR')
#print(w,dd,timeinzone,'TR')
qry = 'hr >= {an}'.format(an=rower.an)
timeinzone = df.query(qry).query(qryw)['deltat'].sum()/(60*1e3)
if totaldays<30:
dates.append(dd)
dates_sorting.append(dd2)
else: # pragma: no cover
dates.append(dd3)
dates_sorting.append(dd3)
minutes.append(timeinzone)
zones.append('AN')
#print(w,dd,timeinzone,'AN')
try:
d = utc.localize(startdate)
except (ValueError,AttributeError): # pragma: no cover
d = startdate
try:
enddate = utc.localize(enddate)
except (ValueError,AttributeError): # pragma: no cover
pass
while d<=enddate:
dd = d.strftime('%d')
if totaldays < 30:
dates.append(d.strftime('%m/%d'))
dates_sorting.append(d.strftime('%Y/%m/%d'))
else:
dates.append(d.strftime('%Y/%m'))
dates_sorting.append(d.strftime('%Y/%m'))
minutes.append(0)
zones.append('<UT2')
d += datetime.timedelta(days=1)
# this should be renamed with rower zones
data = {
'date':dates,
'date_sorting':dates_sorting,
'minutes': minutes,
'zones':zones,
}
#print(pd.DataFrame(data).head())
return data
def interactive_zoneschart(data,startdate,enddate):
duration = enddate-startdate
totaldays = duration.total_seconds()/(24*3600)
colors = ['gray','yellow','lime','blue','purple','red']
df = pd.DataFrame(data)
source = ColumnDataSource(df)
df.sort_values('date_sorting',inplace=True)
hv.extension('bokeh')
table = hv.Table(df,[
('date','Date'),
('minutes','minutes'),
('zones','zones')]
)
bars = hv.Bars(df, kdims = ['date','zones']).aggregate(function=np.sum)
#bars = table.to.bars(['date','zones'],['minutes'])
bars.opts(
opts.Bars(cmap=colors,show_legend=True,stacked=True,
tools=['tap','hover'],width=550,xrotation=45,padding=(0,(0,.1)),
legend_position='bottom',show_frame=False)
)
p = hv.render(bars)
p.title.text = 'Activity {d1} to {d2}'.format(
d1 = startdate.strftime("%Y-%m-%d"),
d2 = enddate.strftime("%Y-%m-%d"),
)
p.plot_width=550
p.plot_height=350
p.toolbar_location = 'above'
p.y_range.start = 0
p.sizing_mode = 'stretch_both'
script,div = components(p)
return script,div

View File

@@ -0,0 +1,35 @@
{% extends "newbase.html" %}
{% load static %}
{% load rowerfilters %}
{% block title %}Rowsandall Training Plans{% endblock %}
{% block main %}
<script src="https://cdn.pydata.org/bokeh/release/bokeh-2.2.3.min.js"></script>
<script src="https://cdn.pydata.org/bokeh/release/bokeh-widgets-2.2.3.min.js"></script>
<script async="true" type="text/javascript">
Bokeh.set_log_level("info");
</script>
<h1>Training Zones</h1>
{{ the_script | safe }}
<ul class="main-content">
<li class="grid_4">
<div id="theplot" class="flexplot">
{{ the_div|safe }}
</div>
</li>
</ul>
{% endblock %}
{% block scripts %}
{% endblock %}
{% block sidebar %}
{% include 'menu_plan.html' %}
{% endblock %}

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View File

@@ -352,6 +352,8 @@ urlpatterns = [
re_path(r'^performancemanager/$',views.performancemanager_view,name='performancemanager_view'),
re_path(r'^performancemanager/user/(?P<userid>\d+)/$',views.performancemanager_view,name='performancemanager_view'),
re_path(r'^performancemanager/user/(?P<userid>\d+)/(?P<mode>\w+.*)/$',views.performancemanager_view,name='performancemanager_view'),
re_path(r'^trainingzones/$',views.trainingzones_view,name='trainingzones_view'),
re_path(r'^trainingzones/user/(?P<userid>\d+)/$',views.trainingzones_view,name='trainingzones_view'),
re_path(r'^ote-bests2/user/(?P<userid>\d+)/$',views.rankings_view2,name='rankings_view2'),
re_path(r'^ote-bests2/$',views.rankings_view2,name='rankings_view2'),
re_path(r'^analysisdata/$',views.analysis_view_data,name='analysis_view_data'),

View File

@@ -1049,6 +1049,48 @@ def goldmedalscores_view(request,userid=0,
'bestworkouts':bestworkouts,
})
@user_passes_test(ispromember, login_url="/rowers/paidplans",
message="This functionality requires a Pro plan or higher. If you are already a Pro user, please log in to access this functionality",
redirect_field_name=None)
@permission_required('rower.is_coach',fn=get_user_by_userid,raise_exception=True)
def trainingzones_view(request,userid=0,mode='rower',
startdate=timezone.now()-timezone.timedelta(days=365),
enddate=timezone.now()):
is_ajax = request_is_ajax(request)
r = getrequestrower(request,userid=userid)
startdate,enddate = get_dates_timeperiod(request)
enddate = timezone.now()
startdate = enddate-datetime.timedelta(days=29)
data = get_zones_report(r,startdate,enddate)
script, div = interactive_zoneschart(data,startdate,enddate)
breadcrumbs = [
{
'url':'/rowers/analysis',
'name':'Analysis'
},
{
'url':reverse('trainingzones_view'),
'name': 'Training Zones'
}
]
return render(request,'trainingzones.html',
{
'active':'nav-analysis',
'breadcrumbs':breadcrumbs,
'rower':r,
'the_script':script,
'the_div':div,
}
)
@user_passes_test(ispromember, login_url="/rowers/paidplans",
message="This functionality requires a Pro plan or higher. If you are already a Pro user, please log in to access this functionality",