Dashboard charts: display sparklines of related timeseries in a tab strip.

dashboard/dashboard/graph_json.py

 # Copyright 2015 The Chromium Authors. All rights reserved.
 # Use of this source code is governed by a BSD-style license that can be
 # found in the LICENSE file.
 
 """Serves JSON for a graph.
 
 This serves the JSON in the format consumed by Flot:
 https://github.com/flot/flot/blob/master/API.md
 """
 
@@ skipping 377 matching lines @@
     revision_map: A dict which maps revision numbers to data point info.
     tests: A list of TestMetadata entities.
 
   Returns:
     JSON serialization of a dict with line data, annotations, error range data,
     (This data may not be passed exactly as-is to the Flot plot function, but
     it will all be used when plotting.)
   """
   # Each entry in the following dict is one Flot series object. The actual
   # x-y values will be put into the 'data' properties for each object.
-  cols = {i: _FlotSeries(i) for i in range(len(tests))}
+  cols = {i: _FlotSeries(i, test) for i, test in enumerate(tests)}
 
   flot_annotations = {}
   flot_annotations['series'] = _GetSeriesAnnotations(tests)
 
   # For each TestMetadata (which corresponds to a trace line), the shaded error
   # region is specified by two series objects. For a demo, see:
   # http://www.flotcharts.org/flot/examples/percentiles/index.html
   error_bars = {x: [
       {
           'id': 'bottom_%d' % x,
@@ skipping 55 matching lines @@
 
   return json.dumps(
       {
           'data': cols,
           'annotations': flot_annotations,
           'error_bars': error_bars,
       },
       allow_nan=False)
 
 
-def _FlotSeries(index):
+def _FlotSeries(index, test):
   return {
       'data': [],
       'color': index,
-      'id': 'line_%d' % index
+      'id': 'line_%d' % index,
+      'testpath': test.test_path,
   }