v1 CP chart from chart server

rowers/interactiveplots.py

@@ -95,7 +95,7 @@ def get_chart(end_point, chart_data, debug=False):
     headers = {'authorization':"Bearer {token}".format(token=settings.ROWSANDALL_CHARTS_TOKEN)}
     try:
         response = requests.post(url, json=chart_data, headers=headers)
-    except ConnectionError as err:
+    except Error as err:
         if debug:
             print("Chart Server Error")
             print(err)
@@ -2651,8 +2651,8 @@ def interactive_otwcpchart(powerdf, promember=0, rowername="", r=None,
         fitpowerfair = 0*fitpower
         fitpoweraverage = 0*fitpower
 
-    sourcecomplex = ColumnDataSource(
+
-        data=dict(
+    fit_data =  pd.DataFrame(dict(
             CP=fitpower,
             CPmax=ratio*fitpower,
             duration=fitt/60.,
@@ -2664,94 +2664,19 @@ def interactive_otwcpchart(powerdf, promember=0, rowername="", r=None,
             fitpowerfair=fitpowerfair,
             fitpoweraverage=fitpoweraverage,
             #            url = urls,
-        )
+        ))
-    )
 
-    # making the plot
-    plot = figure(tools=TOOLS, x_axis_type=x_axis_type,
-                  width=900,
-                  toolbar_location="above",
-                  toolbar_sticky=False)
 
-    # add watermark
-    watermarkurl = "/static/img/logo7.png"
-    watermarkrange = Range1d(start=0, end=1)
-    watermarkalpha = 0.6
-    watermarky = 0.01
-    watermarkw = 184
-    watermarkh = 35
-    watermarkanchor = 'bottom_right'
-    plot.extra_y_ranges = {"watermark": watermarkrange}
-    #plot.sizing_mode = 'scale_both'
-
-    plot.image_url([watermarkurl], 1.8*max(thesecs), watermarky,
-                   watermarkw, watermarkh,
-                   global_alpha=watermarkalpha,
-                   w_units='screen',
-                   h_units='screen',
-                   anchor=watermarkanchor,
-                   dilate=True,
-                   y_range_name="watermark",
-                   )
-
-    plot.circle('Deltaminutes', 'CP', source=source, fill_color='red', size=15,
-                legend_label='Power Data')
-    plot.xaxis.axis_label = "Duration (minutes)"
-    plot.yaxis.axis_label = "Power (W)"
-
-    plot.y_range = Range1d(0, 1.5*max(theavpower))
-    plot.x_range = Range1d(0.5*min(thesecs)/60., 2*max(thesecs)/60.)
-    plot.legend.orientation = "vertical"
     if not title:
         title = "Critical Power for "+rowername
-    plot.title.text = title
     
-    plot.xaxis[0].formatter = PrintfTickFormatter(format="%5f")
+    chart_dict = {
+        'data': powerdf2.to_dict("records"),
+        'fitdata': fit_data.to_dict("records"),
+        'title': title,
+    }
 
-
+    script, div = get_chart("/cp", chart_dict)
-    hover = plot.select(dict(type=HoverTool))
-
-    hover.tooltips = OrderedDict([
-        ('Duration ', '@ftime'),
-        ('Power (W)', '@CP{int}'),
-        ('Power (W) upper', '@CPmax{int}'),
-        ('Workout', '@workout'),
-        ('World Class', '@fitpowerwc{int}')
-    ])
-
-    hover.mode = 'mouse'
-
-    taptool = plot.select(type=TapTool)
-    taptool.callback = OpenURL(url='@url')
-
-    plot.line('duration', 'CP', source=sourcecomplex, legend_label="CP Model",
-              color='green')
-
-    plot.line('duration', 'CPmax', source=sourcecomplex, legend_label="CP Model",
-              color='red')
-
-    if p1wc is not None:  # pragma: no cover
-        plot.line('duration', 'fitpowerwc', source=sourcecomplex,
-                  legend_label="Gold Medal Standard",
-                  color='darkgoldenrod', line_dash='dotted')
-
-        plot.line('duration', 'fitpowerexcellent', source=sourcecomplex,
-                  legend_label="90% percentile",
-                  color='goldenrod', line_dash='dotted')
-
-        plot.line('duration', 'fitpowergood', source=sourcecomplex,
-                  legend_label="75% percentile",
-                  color='sandybrown', line_dash='dotted')
-
-        plot.line('duration', 'fitpowerfair', source=sourcecomplex,
-                  legend_label="50% percentile",
-                  color='rosybrown', line_dash='dotted')
-
-        plot.line('duration', 'fitpoweraverage', source=sourcecomplex,
-                  legend_label="25% percentile",
-                  color='tan', line_dash='dotted')
-
-    script, div = components(plot)
 
     return [script, div, p1, ratio, message]
 

rowers/views/analysisviews.py

@@ -618,11 +618,11 @@ def histodata(workouts, options):
                                        extratitle=extratitle,
                                        workmin=workmin, workmax=workmax)
 
-    print(div)
     return(script, div)
 
 
 def cpdata(workouts, options):
+    start = timezone.now()
     userid = options['userid']
     cpfit = options['cpfit']
     cpoverlay = options['cpoverlay']