[LNT] Fix legend color

[ychen]

Summary

Early conversion to int causes the color precision lost. Delaying the conversion fixes it.

[cmatthews]

Thanks!

[ychen]

landed as 83745f83db6191a183bad97fdcf83b8b9c992303

lnt/server/ui/templates/v4_graph.html

<table class="table table-condensed table-hover table-striped">
     <tr>
       <th></th>
       <th>Machine</th>
       <th>Test</th>
       <th>Type</th>
     </tr>
     {% for machine, test_name, field_name, col, url in legend %}
     <tr class="data-row" data-url="{{url}}">
-      <td style="background-color: #{{ '%02x%02x%02x' % (255*col[0], 255*col[1], 255*col[2]) }}">&nbsp;</td>
+      <td style="background-color: #{{ '%02x%02x%02x' % ((255*col[0])|int, (255*col[1])|int, (255*col[2])|int) }}">&nbsp;</td>
       <td>{{ utils.render_machine(machine) }}</td>
       <td>{{ test_name }}</td>
       <td class="metric">{{ field_name }}</td>
     </tr>
     {% endfor %}
   </table>
 {% endblock %}

lnt/server/ui/views.py

def v4_graph():
     baseline_plots = []
     revision_cache = {}
     num_plots = len(graph_parameters)
     for i, (machine, test, field, field_index) in enumerate(graph_parameters):
         # Determine the base plot color.
         col = list(util.makeDarkColor(float(i) / num_plots))
         url = "/".join([str(machine.id), str(test.id), str(field_index)])
         legend.append(LegendItem(machine, test.name, field.name,
-                                 tuple(map(int, col)), url))
+                                 tuple(col), url))
 
         # Load all the field values for this test on the same machine.
         #
         # FIXME: Don't join to Order here, aggregate this across all the tests
         # we want to load. Actually, we should just make this a single query.
         #
         # FIXME: Don't hard code field name.
         q = session.query(field.column, ts.Order.llvm_project_revision,
for i, (machine, test, field, field_index) in enumerate(graph_parameters):
             # Skip this baseline if there is no data.
             if not samples:
                 continue
             mean = sum(samples)/len(samples)
             # Darken the baseline color distinguish from non-baselines.
             # Make a color closer to the sample than its neighbour.
             color_offset = float(baseline_id) / num_baselines / 2
             my_color = (i + color_offset) / num_plots
-            dark_col = list(map(int, util.makeDarkerColor(my_color)))
+            dark_col = list(util.makeDarkerColor(my_color))
             str_dark_col = util.toColorString(dark_col)
             baseline_plots.append({
                 'color': str_dark_col,
                 'lineWidth': 2,
                 'yaxis': {'from': mean, 'to': mean},
                 'name': q_baseline[0].llvm_project_revision,
             })
             baseline_name = ("Baseline {} on {}"