Display telemetry chartjson output and result data on waterfall.

scripts/slave/telemetry_utils.py

Index: scripts/slave/telemetry_utils.py
diff --git a/scripts/slave/telemetry_utils.py b/scripts/slave/telemetry_utils.py
index cbe0a9df73e8b61bcd5c79e905f2be38a526ca0f..07c7307e5fc84f7dab56e5036b3660b67abd6727 100644
--- a/scripts/slave/telemetry_utils.py
+++ b/scripts/slave/telemetry_utils.py
@@ -15,6 +15,9 @@ import json
 import logging
 import os
 
+from slave.performance_log_processor import _FormatHumanReadable
+
+
 class TelemetryResultsProcessor(object):
 
   def __init__(self, filename, is_ref):
@@ -61,4 +64,20 @@ class TelemetryResultsProcessor(object):
     return []
 
   def PerformanceSummary(self):
-    return ''
+    """Writes the waterfall display text.
+
+    The waterfall contains lines for each important trace, in the form
+      tracename: value< (refvalue)>
+    """
+    if self._is_reference_build:
+      return []
+
+    results = []
+    for chart_name, chart_values in self.ChartJson()['charts'].iteritems():
+      if 'summary' in chart_values:
+        summary = chart_values['summary']

[shatch, 2014/11/21 17:21:48]

Are we only displaying summary results? This mostly matches the existing
waterfall, with some exceptions like page_load_time.

[sullivan, 2014/11/21 17:30:52]

I think displaying summary results is fine.

+        if summary['important']:
+          mean = sum(summary['values']) / float(len(summary['values']))
+          display = '%s: %s' % (chart_name, _FormatHumanReadable(mean))
+          results.append(display)
+    return results