hr pie v1
This commit is contained in:
@@ -284,7 +284,7 @@ def interactive_hr_piechart(df, rower, title, totalseconds=0):
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frac_an = totalseconds*df.query(qry)['deltat'].sum()/sumtimehr
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datadict = {
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'<{ut2}'.format(ut2=hrzones[1]): frac_lut2,
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'<{ut2}'.format(ut2=hrzones[1]): frac_lut2,
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'{ut2}'.format(ut2=hrzones[1]): frac_ut2,
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'{ut1}'.format(ut1=hrzones[2]): frac_ut1,
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'{at}'.format(at=hrzones[3]): frac_at,
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@@ -299,7 +299,7 @@ def interactive_hr_piechart(df, rower, title, totalseconds=0):
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data['angle'] = data['value']/data['value'].sum() * 2*pi
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data['color'] = colors
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data['zone'] = [
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'<{ut2}'.format(ut2=hrzones[1]),
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'<{ut2}'.format(ut2=hrzones[1]),
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'{ut2}'.format(ut2=hrzones[1]),
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'{ut1}'.format(ut1=hrzones[2]),
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'{at}'.format(at=hrzones[3]),
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@@ -309,24 +309,14 @@ def interactive_hr_piechart(df, rower, title, totalseconds=0):
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data['totaltime'] = pd.Series([pretty_timedelta(v) for v in data['value']])
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TOOLS = 'save,hover'
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z = figure(title="HR "+title, x_range=(-0.5, 1), height=375,
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tools=TOOLS, toolbar_location=None, tooltips="@zone: @totaltime",
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)
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z.wedge(x=0, y=1, radius=0.4,
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start_angle=cumsum('angle', include_zero=True), end_angle=cumsum('angle'),
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line_color='white', fill_color='color', source=data, legend_group='zone')
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z.axis.axis_label = None
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z.axis.visible = False
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z.grid.grid_line_color = None
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z.outline_line_color = None
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z.toolbar_location = 'right'
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return components(z)
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data_dict = data.to_dict("records")
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chart_data = {
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'data': data_dict,
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'title': "HR "+ title
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}
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script, div = get_chart("/hrpie", chart_data, debug=True)
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return script, div
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def pretty_timedelta(secs):
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hours, remainder = divmod(secs, 3600)
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@@ -102,14 +102,11 @@
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</li>
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{% endif %}
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<li class="grid_2">
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<script src="https://cdn.pydata.org/bokeh/release/bokeh-3.1.1.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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{{ interactiveplot |safe }}
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<script src="https://d3js.org/d3.v6.js"></script>
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{{ the_div|safe }}
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{{ interactiveplot |safe }}
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</li>
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<li class="grid_4">
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@@ -6,12 +6,9 @@
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{% block main %}
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<script src="https://cdn.pydata.org/bokeh/release/bokeh-3.1.1.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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<script src="https://d3js.org/d3.v6.js"></script>
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{{ interactiveplot |safe }}
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@@ -24,6 +21,7 @@
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</li>
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</ul>
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{{ interactiveplot |safe }}
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{% endif %}
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{% endblock %}
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@@ -12,6 +12,7 @@
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<div id="id_js_res">
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<script src="https://cdn.pydata.org/bokeh/release/bokeh-3.1.1.min.js"></script>
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<script src="https://cdn.pydata.org/bokeh/release/bokeh-widgets-3.1.1.min.js"></script>
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<script src="https://d3js.org/d3.v7.min.js"></script>
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</div>
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<script async="true" type="text/javascript">
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@@ -157,7 +158,6 @@
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var activities_chart = json.activities_chart
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$("#id_sitready").remove();
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$("#id_chart").append(div);
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// $("#id_script").append("<s"+"cript>"+script+"</s"+"cript>");
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$("#id_script").append(script);
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$("#id_activities").append(activities_chart)
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$("#activities_script").append(activities_script)
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@@ -23,7 +23,7 @@
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</li>
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<li class="grid_2">
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<script src="https://cdn.pydata.org/bokeh/release/bokeh-3.1.1.min.js"></script>
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<script src="https://d3js.org/d3.v6.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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@@ -8,9 +8,9 @@
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{% block scripts %}
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{% include "monitorjobs.html" %}
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<link rel="stylesheet" href="//code.jquery.com/ui/1.12.1/themes/base/jquery-ui.css">
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<script src="https://code.jquery.com/jquery-1.12.4.js"></script>
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<script src="https://code.jquery.com/ui/1.12.1/jquery-ui.js"></script>
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<script>
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<script src="https://code.jquery.com/jquery-1.12.4.js"></script>
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<script src="https://code.jquery.com/ui/1.12.1/jquery-ui.js"></script>
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<script>
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$( function() {
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console.log({{ activeminutesmin }}, {{ activeminutesmax}}, 'active range');
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$( "#slider-range" ).slider({
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@@ -27,7 +27,7 @@
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$( "#amount" ).val($( "#slider-range" ).slider( "values", 0 ) +
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" min - " + $( "#slider-range" ).slider( "values", 1 ) + " min ");
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} );
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</script>
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</script>
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{% endblock %}
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{% block main %}
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@@ -56,7 +56,7 @@
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<td>
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</tr>
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</table>
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</p>
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</p>
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<h1>Edit Workout Interval Data</h1>
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<p>
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@@ -89,14 +89,11 @@
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</p>
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</li>
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<li class="grid_2">
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<script src="https://cdn.pydata.org/bokeh/release/bokeh-3.1.1.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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{{ interactiveplot |safe }}
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<script src="https://d3js.org/d3.v6.js"></script>
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{{ the_div |safe }}
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{{ interactiveplot |safe }}
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</li>
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<li class="grid_2">
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<h1>Feeling lucky?</h1>
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@@ -98,14 +98,11 @@
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</li>
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{% endif %}
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<li class="grid_2">
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<script src="https://cdn.pydata.org/bokeh/release/bokeh-3.1.1.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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{{ interactiveplot |safe }}
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<script src="https://d3js.org/d3.v6.js"></script>
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{{ the_div|safe }}
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{{ interactiveplot |safe }}
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</li>
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<li class="grid_4">
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@@ -443,9 +443,6 @@ urlpatterns = [
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views.trainingzones_view_data, name="trainingzones_view_data"),
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re_path(r'^trainingzones/data/$', views.trainingzones_view_data,
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name="trainingzones_view_data"),
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re_path(r'^ote-bests2/user/(?P<userid>\d+)/$',
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views.rankings_view2, name='rankings_view2'),
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re_path(r'^ote-bests2/$', views.rankings_view2, name='rankings_view2'),
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re_path(r'^analysisdata/user/(?P<userid>\d+)/$', views.analysis_view_data,
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name='analysis_view_data'),
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re_path(r'^analysisdata/$', views.analysis_view_data,
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@@ -470,8 +467,6 @@ urlpatterns = [
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views.workout_upload_view, name='workout_upload_view'),
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re_path(r'^workout/upload/$', views.workout_upload_view,
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name='workout_upload_view'),
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re_path(r'^workout/(?P<id>\b[0-9A-Fa-f]+\b)/histo/$', views.workout_histo_view,
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name='workout_histo_view'),
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re_path(r'^workout/(?P<id>\b[0-9A-Fa-f]+\b)/forcecurve/$', views.workout_forcecurve_view,
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name='workout_forcecurve_view'),
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re_path(r'^workout/(?P<id>\b[0-9A-Fa-f]+\b)/forcecurve/(?P<analysis>\d+)/$', views.workout_forcecurve_view,
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@@ -1382,398 +1382,6 @@ def ajax_agegrouprecords(request,
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)
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# Show ranking distances including predicted paces
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@login_required()
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@permission_required('rower.is_coach', fn=get_user_by_userid, raise_exception=True)
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def rankings_view2(request, userid=0,
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startdate=timezone.now()-datetime.timedelta(days=365),
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enddate=timezone.now(),
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deltadays=-1,
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startdatestring="",
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enddatestring=""):
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if deltadays > 0: # pragma: no cover
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startdate = enddate-datetime.timedelta(days=int(deltadays))
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if startdatestring != "": # pragma: no cover
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startdate = iso8601.parse_date(startdatestring)
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if enddatestring != "": # pragma: no cover
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enddate = iso8601.parse_date(enddatestring)
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if enddate < startdate: # pragma: no cover
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s = enddate
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enddate = startdate
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startdate = s
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if userid == 0:
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userid = request.user.id
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else:
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lastupdated = "1900-01-01"
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promember = 0
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r = getrequestrower(request, userid=userid)
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theuser = r.user
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wcdurations = []
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wcpower = []
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lastupdated = "1900-01-01"
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userid = 0
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if 'options' in request.session:
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options = request.session['options']
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try:
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wcdurations = options['wcdurations']
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wcpower = options['wcpower']
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lastupdated = options['lastupdated']
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except KeyError: # pragma: no cover
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pass
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try:
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userid = options['userid']
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except KeyError: # pragma: no cover
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userid = 0
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else:
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options = {}
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lastupdatedtime = arrow.get(lastupdated).timestamp()
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current_time = arrow.utcnow().timestamp()
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deltatime_seconds = current_time - lastupdatedtime
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recalc = False
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if str(userid) != str(theuser) or deltatime_seconds > 3600:
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recalc = True
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options['lastupdated'] = arrow.utcnow().isoformat()
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else: # pragma: no cover
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recalc = False
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options['userid'] = theuser.id
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if r.birthdate:
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age = calculate_age(r.birthdate)
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else:
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age = 0
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agerecords = CalcAgePerformance.objects.filter(
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age=age,
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sex=r.sex,
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weightcategory=r.weightcategory)
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if len(agerecords) == 0:
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recalc = True
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wcpower = []
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wcdurations = []
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else:
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wcdurations = []
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wcpower = []
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for record in agerecords:
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wcdurations.append(record.duration)
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wcpower.append(record.power)
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options['wcpower'] = wcpower
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options['wcdurations'] = wcdurations
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if theuser:
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options['userid'] = theuser.id
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request.session['options'] = options
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result = request.user.is_authenticated and ispromember(request.user)
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if result:
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promember = 1
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# get all indoor rows in date range
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# process form
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if request.method == 'POST' and "daterange" in request.POST:
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dateform = DateRangeForm(request.POST)
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deltaform = DeltaDaysForm(request.POST)
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if dateform.is_valid():
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startdate = dateform.cleaned_data['startdate']
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enddate = dateform.cleaned_data['enddate']
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if startdate > enddate: # pragma: no cover
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s = enddate
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enddate = startdate
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startdate = s
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elif request.method == 'POST' and "datedelta" in request.POST: # pragma: no cover
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deltaform = DeltaDaysForm(request.POST)
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if deltaform.is_valid():
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deltadays = deltaform.cleaned_data['deltadays']
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if deltadays:
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enddate = timezone.now()
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startdate = enddate-datetime.timedelta(days=deltadays)
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if startdate > enddate:
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s = enddate
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enddate = startdate
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startdate = s
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dateform = DateRangeForm(initial={
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'startdate': startdate,
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'enddate': enddate,
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})
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else:
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dateform = DateRangeForm()
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deltaform = DeltaDaysForm()
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else:
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dateform = DateRangeForm(initial={
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'startdate': startdate,
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'enddate': enddate,
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})
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deltaform = DeltaDaysForm()
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# get all 2k (if any) - this rower, in date range
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try:
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r = getrower(theuser)
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except Rower.DoesNotExist: # pragma: no cover
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r = 0
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uu = theuser
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# test to fix bug
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startdate = datetime.datetime.combine(startdate, datetime.time())
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enddate = datetime.datetime.combine(enddate, datetime.time(23, 59, 59))
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startdate = arrow.get(startdate).datetime
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enddate = arrow.get(enddate).datetime
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thedistances = []
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theworkouts = []
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thesecs = []
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rankingdistances.sort()
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rankingdurations.sort()
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for rankingdistance in rankingdistances:
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workouts = Workout.objects.filter(
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user=r, distance=rankingdistance,
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workouttype__in=['rower', 'dynamic', 'slides'],
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rankingpiece=True,
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startdatetime__gte=startdate,
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startdatetime__lte=enddate).order_by('duration')
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if workouts:
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thedistances.append(rankingdistance)
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theworkouts.append(workouts[0])
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timesecs = 3600*workouts[0].duration.hour
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timesecs += 60*workouts[0].duration.minute
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timesecs += workouts[0].duration.second
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timesecs += 1.e-6*workouts[0].duration.microsecond
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thesecs.append(timesecs)
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for rankingduration in rankingdurations:
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workouts = Workout.objects.filter(
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user=r, duration=rankingduration,
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workouttype='rower',
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rankingpiece=True,
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startdatetime__gte=startdate,
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startdatetime__lte=enddate).order_by('-distance')
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if workouts:
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thedistances.append(workouts[0].distance)
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theworkouts.append(workouts[0])
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timesecs = 3600*workouts[0].duration.hour
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timesecs += 60*workouts[0].duration.minute
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timesecs += workouts[0].duration.second
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timesecs += 1.e-5*workouts[0].duration.microsecond
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thesecs.append(timesecs)
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thedistances = np.array(thedistances)
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thesecs = np.array(thesecs)
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thevelos = thedistances/thesecs
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theavpower = 2.8*(thevelos**3)
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# create interactive plot
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if len(thedistances) != 0:
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res = interactive_cpchart(
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r, thedistances, thesecs, theavpower,
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theworkouts, promember=promember,
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wcdurations=wcdurations, wcpower=wcpower
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)
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script = res[0]
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div = res[1]
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paulslope = res[2]
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paulintercept = res[3]
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p1 = res[4]
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message = res[5]
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else:
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script = ''
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div = '<p>No ranking pieces found.</p>'
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paulslope = 1
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paulintercept = 1
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p1 = [1, 1, 1, 1]
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message = ""
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if request.method == 'POST' and "piece" in request.POST: # pragma: no cover
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form = PredictedPieceForm(request.POST)
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if form.is_valid():
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value = form.cleaned_data['value']
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hourvalue, value = divmod(value, 60)
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if hourvalue >= 24:
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hourvalue = 23
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pieceunit = form.cleaned_data['pieceunit']
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if pieceunit == 'd':
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rankingdistances.append(value)
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else:
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rankingdurations.append(datetime.time(
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minute=int(value), hour=int(hourvalue)))
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else:
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form = PredictedPieceForm()
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||||
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rankingdistances.sort()
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rankingdurations.sort()
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||||
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||||
predictions = []
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||||
cpredictions = []
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||||
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||||
for rankingdistance in rankingdistances:
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# Paul's model
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||||
p = paulslope*np.log10(rankingdistance)+paulintercept
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||||
velo = 500./p
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t = rankingdistance/velo
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pwr = 2.8*(velo**3)
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try:
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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),
|
||||
|
||||
@@ -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()
|
||||
|
||||
Reference in New Issue
Block a user