MVP in-stroke analysis comparison
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@@ -10,7 +10,7 @@ from django.contrib.admin.widgets import FilteredSelectMultiple
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from rowers.models import (
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Workout, Rower, Team, PlannedSession, GeoCourse,
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VirtualRace, VirtualRaceResult, IndoorVirtualRaceResult,
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PaidPlan
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PaidPlan, InStrokeAnalysis
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)
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from rowers.rows import validate_file_extension, must_be_csv, validate_image_extension, validate_kml
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from django.contrib.auth.forms import UserCreationForm
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@@ -1250,6 +1250,13 @@ class WorkoutSingleSelectForm(forms.Form):
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self.fields['workout'].queryset = workouts
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class InStrokeMultipleCompareForm(forms.Form):
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analyses = forms.ModelMultipleChoiceField(
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queryset=InStrokeAnalysis.objects.all(),
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widget=forms.CheckboxSelectMultiple()
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)
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class WorkoutMultipleCompareForm(forms.Form):
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workouts = forms.ModelMultipleChoiceField(
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queryset=Workout.objects.filter(),
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@@ -5,7 +5,7 @@ from rowers.metrics import rowingmetrics, metricsdicts
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from scipy.spatial import ConvexHull, Delaunay
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from scipy.stats import linregress, percentileofscore
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from pytz import timezone as tz, utc
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from rowers.models import course_spline, VirtualRaceResult
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from rowers.models import course_spline, VirtualRaceResult, InStrokeAnalysis
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from bokeh.palettes import Category20c, Category10
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from bokeh.layouts import layout, widgetbox
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from bokeh.resources import CDN, INLINE
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@@ -4078,6 +4078,81 @@ def interactive_streamchart(id=0, promember=0):
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return [script, div]
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def instroke_multi_interactive_chart(selected):
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df_plot = pd.DataFrame()
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ids = [analysis.id for analysis in selected]
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for analysis in selected:
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#start_second, end_second, spm_min, spm_max, name
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activeminutesmin = int(analysis.start_second/60.)
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activeminutesmax = int(analysis.end_second/60.)
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rowdata = rrdata(csvfile=analysis.workout.csvfilename)
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data = rowdata.get_instroke_data(
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analysis.metric,
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spm_min=analysis.spm_min,
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spm_max=analysis.spm_max,
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activeminutesmin=activeminutesmin,
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activeminutesmax=activeminutesmax,
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)
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mean_vals = data.mean()
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xvals = np.arange(len(mean_vals))
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xname = 'x_'+str(analysis.id)
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yname = 'y_'+str(analysis.id)
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df_plot[xname] = xvals
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df_plot[yname] = mean_vals
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source = ColumnDataSource(
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df_plot
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)
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TOOLS = 'save,pan,box_zoom,wheel_zoom,reset,tap,crosshair'
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plot = Figure(plot_width=920,tools=TOOLS,
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toolbar_location='above',
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toolbar_sticky=False)
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plot.sizing_mode = 'stretch_both'
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# add watermark
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watermarkurl = "/static/img/logo7.png"
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watermarkrange = Range1d(start=0, end=1)
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watermarkalpha = 0.6
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watermarkx = 0.99
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watermarky = 0.01
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watermarkw = 184
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watermarkh = 35
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watermarkanchor = 'bottom_right'
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plot.extra_y_ranges = {"watermark": watermarkrange}
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plot.extra_x_ranges = {"watermark": watermarkrange}
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plot.image_url([watermarkurl], watermarkx, watermarky,
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watermarkw, watermarkh,
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global_alpha=watermarkalpha,
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w_units='screen',
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h_units='screen',
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anchor=watermarkanchor,
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dilate=True,
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x_range_name="watermark",
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y_range_name="watermark",
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)
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colors = itertools.cycle(palette)
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try:
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items = itertools.izip(ids, colors)
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except AttributeError:
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items = zip(ids, colors)
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for id, color in items:
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xname = 'x_'+str(id)
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yname = 'y_'+str(id)
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analysis = InStrokeAnalysis.objects.get(id=id)
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plot.line(xname,yname,source=source,legend_label=analysis.name,
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line_width=2, color=color)
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script, div = components(plot)
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return (script, div)
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def instroke_interactive_chart(df,metric, workout, spm_min, spm_max,
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activeminutesmin, activeminutesmax,
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individual_curves,
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@@ -6,16 +6,37 @@
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{% block main %}
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{{ js_res | safe }}
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{{ css_res| safe }}
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<script src="https://cdn.pydata.org/bokeh/release/bokeh-2.2.3.min.js"></script>
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<script src="https://cdn.pydata.org/bokeh/release/bokeh-widgets-2.2.3.min.js"></script>
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<script async="true" type="text/javascript">
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Bokeh.set_log_level("info");
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</script>
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{{ the_script |safe }}
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<h1>In-Stroke Analysis for {{ rower.user.first_name }} {{ rower.user.last_name }}</h1>
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<form enctype="multipart/form-data" method="post">
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<ul class="main-content">
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{% if the_div %}
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<li class="grid_4">
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<div id="theplot" class="flexplot">
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{{ the_div|safe }}
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</div>
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</li>
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{% endif %}
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{% if analyses %}
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{% for analysis in analyses %}
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<li class="grid_4 divlines" id="analysis_{{ analysis.id }}">
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{{ analysis.date }}
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<div><h3>{{ analysis.name }}</h3></div>
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<div class="analysiscontainer">
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<div class="workoutelement">
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<input type="checkbox" name="analyses" value="{{ analysis.id }}" id="analyses_{{ analysis.id }}">
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</div>
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<div class="workoutelement">
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<a class="small" href="/rowers/workout/{{ analysis.workout.id|encode }}/instroke/interactive/{{ analysis.id }}/"
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title="Edit">
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@@ -57,6 +78,9 @@
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</li>
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{% endif %}
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</ul>
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{% csrf_token %}
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<input name='instroke_compare' type="submit" value="Compare Selected">
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</form>
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@@ -1852,6 +1852,19 @@ def instrokeanalysis_view(request, userid=0):
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analyses = InStrokeAnalysis.objects.filter(rower=r).order_by("-date","-id")
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script = ""
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div = ""
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if request.method == 'POST':
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form = InStrokeMultipleCompareForm(request.POST)
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if form.is_valid():
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cd = form.cleaned_data
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selected = cd['analyses']
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request.session['analyses'] = [a.id for a in selected]
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# now should redirect to analysis
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script, div = instroke_multi_interactive_chart(selected)
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breadcrumbs = [
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{
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'url': '/rowers/analysis',
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@@ -1868,6 +1881,8 @@ def instrokeanalysis_view(request, userid=0):
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'breadcrumbs': breadcrumbs,
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'analyses': analyses,
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'rower': r,
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'the_script': script,
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'the_div': div,
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})
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@@ -111,7 +111,7 @@ from rowers.forms import (
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VideoAnalysisMetricsForm, SurveyForm, HistorySelectForm,
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StravaChartForm, FitnessFitForm, PerformanceManagerForm,
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TrainingPlanBillingForm, InstantPlanSelectForm,
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TrainingZonesForm, InstrokeForm
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TrainingZonesForm, InstrokeForm, InStrokeMultipleCompareForm
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)
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from django.urls import reverse, reverse_lazy
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