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