Add new Telemetry tests to get CPU and memory usage for idle and flinging two test scenarios. Mirro…

chrome/test/media_router/telemetry/benchmarks/media_router_cpu_memory_metric.py

Index: chrome/test/media_router/telemetry/benchmarks/media_router_cpu_memory_metric.py
diff --git a/chrome/test/media_router/telemetry/benchmarks/media_router_cpu_memory_metric.py b/chrome/test/media_router/telemetry/benchmarks/media_router_cpu_memory_metric.py
new file mode 100644
index 0000000000000000000000000000000000000000..b7ca295cda986adfbebe03302160d2a0f4b6d940
--- /dev/null
+++ b/chrome/test/media_router/telemetry/benchmarks/media_router_cpu_memory_metric.py
@@ -0,0 +1,51 @@
+# Copyright 2016 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.
+
+import logging
+import json
+
+from telemetry.core import exceptions
+from telemetry.value import scalar
+
+from metrics import Metric
+
+
+METRICS = {'privateMemory': {'units': 'MB', 'display_name': 'private_memory'},
+         'cpu': {'units': '%', 'display_name': 'cpu_utilization'}}
+
+
+class MediaRouterCPUMemoryMetric(Metric):
+  "A metric for media router CPU/Memory usage."
+
+  def Start(self, page, tab):
+    raise NotImplementedError()
+
+  def Stop(self, page, tab):
+    raise NotImplementedError()
+
+  def AddResults(self, tab, results):
+    results_json = None
+    try:
+      results_json = tab.EvaluateJavaScript(
+          'JSON.stringify(window.perfResults)')
+    except exceptions.EvaluateException:
+      pass
+    # This log gives the detailed information about CPU/memory usage.
+    logging.info('results_json' + ': ' + str(results_json))
+
+    if not results_json:
+      return
+    perf_results = json.loads(results_json)
+    for (metric, metric_results) in perf_results.iteritems():
+      for (process, process_results) in metric_results.iteritems():
+        if not process_results:
+          continue
+        avg_result = round(sum(process_results)/len(process_results), 4)
+        if metric == 'privateMemory':
+          avg_result = round(avg_result/(1024 * 1024), 2)
+        results.AddValue(scalar.ScalarValue(
+            results.current_page,
+            '%s.%s' % (METRICS.get(metric).get('display_name'), process),
+            METRICS.get(metric).get('units'),
+            avg_result))