[tools/perf] Compute multiple TBMv3 metrics without reloading the trace

This speeds up TBMv3 metric computation in results_processor.

Change-Id: I76ef0ffc369b45a1104f750eb79d214931093d84
Reviewed-on: https://chromium-review.googlesource.com/c/chromium/src/+/2577499
Commit-Queue: Mikhail Khokhlov <khokhlov@google.com>
Reviewed-by: Deep Roy <dproy@chromium.org>
Cr-Commit-Position: refs/heads/master@{#834679}

tools/perf/core/results_processor/compute_metrics.py

@@ -108,10 +108,9 @@ def ComputeTBMv3Metrics(test_result,
     return
 
   start = time.time()
-  for metric in metrics:
-    histograms = trace_processor.RunMetric(
+  histograms = trace_processor.RunMetrics(
       trace_processor_path, artifacts[CONCATENATED_PROTO_NAME]['filePath'],
-        metric, fetch_power_profile)
+      metrics, fetch_power_profile)
   test_result['_histograms'].Merge(histograms)
   logging.info('%s: Computing TBMv3 metrics took %.3f seconds.' % (
       test_result['testPath'], time.time() - start))

tools/perf/core/results_processor/compute_metrics_unittest.py

@@ -18,7 +18,7 @@ import mock
 
 RUN_METRICS_METHOD = 'tracing.metrics.metric_runner.RunMetricOnSingleTrace'
 GETSIZE_METHOD = 'os.path.getsize'
-TRACE_PROCESSOR_METRIC_METHOD = 'core.tbmv3.trace_processor.RunMetric'
+TRACE_PROCESSOR_METRIC_METHOD = 'core.tbmv3.trace_processor.RunMetrics'
 
 
 class ComputeMetricsTest(unittest.TestCase):

tools/perf/core/results_processor/processor_test.py

@@ -813,3 +813,44 @@ class ResultsProcessorIntegrationTests(unittest.TestCase):
     self.assertEqual(hist1.unit, SAMPLE_HISTOGRAM_UNIT)
     hist2 = out_histograms.GetHistogramNamed('dummy::simple_field')
     self.assertEqual(hist2.unit, 'count_smallerIsBetter')
+
+  def testMultipleTBMv3Metrics(self):
+    self.SerializeIntermediateResults(
+        testing.TestResult(
+            'benchmark/story',
+            output_artifacts=[
+                self.CreateProtoTraceArtifact(),
+                self.CreateDiagnosticsArtifact(
+                    benchmarks=['benchmark'],
+                    osNames=['linux'],
+                    documentationUrls=[['documentation', 'url']])
+            ],
+            tags=['tbmv3:dummy_metric', 'tbmv3:test_chrome_metric'],
+            start_time='2009-02-13T23:31:30.987000Z',
+        ),
+    )
+
+    processor.main([
+        '--output-format', 'histograms',
+        '--output-dir', self.output_dir,
+        '--intermediate-dir', self.intermediate_dir,
+        '--results-label', 'label',
+        '--experimental-tbmv3-metrics',
+    ])
+
+    with open(os.path.join(
+        self.output_dir, histograms_output.OUTPUT_FILENAME)) as f:
+      results = json.load(f)
+
+    out_histograms = histogram_set.HistogramSet()
+    out_histograms.ImportDicts(results)
+
+    # We use two metrics for testing here. The dummy_metric is defined in
+    # tools/perf/core/tbmv3/metrics/dummy_metric_*.
+    # The test_chrome_metric is built into trace_processor, see source in
+    # third_party/perfetto/src/trace_processor/metrics/chrome/test_chrome_metric.sql.
+    hist1 = out_histograms.GetHistogramNamed('dummy::simple_field')
+    self.assertEqual(hist1.sample_values, [42])
+
+    hist2 = out_histograms.GetHistogramNamed('test_chrome::test_value')
+    self.assertEqual(hist2.sample_values, [1])

tools/perf/core/tbmv3/trace_processor.py

@@ -188,28 +188,30 @@ def _PluckField(json_dict, field_path):
     return _PluckField(field_value, path_tail)
 
 
-def RunMetric(trace_processor_path, trace_file, metric_name,
+def RunMetrics(trace_processor_path, trace_file, metric_names,
                fetch_power_profile=False):
-  """Run a TBMv3 metric using trace processor.
+  """Run TBMv3 metrics using trace processor.
 
   Args:
     trace_processor_path: path to the trace_processor executable.
     trace_file: path to the trace file.
-    metric_name: the metric name (the corresponding files must exist in
+    metric_names: a list of metric names (the corresponding files must exist in
         tbmv3/metrics directory).
 
   Returns:
     A HistogramSet with metric results.
   """
   trace_processor_path = _EnsureTraceProcessor(trace_processor_path)
+  metric_name_args = []
+  for metric_name in metric_names:
     metric_files = _CreateMetricFiles(metric_name)
     if metric_files.internal_metric:
-    metric_name_arg = metric_name
+      metric_name_args.append(metric_name)
     else:
-    metric_name_arg = metric_files.sql
+      metric_name_args.append(metric_files.sql)
   command_args = [
       trace_processor_path,
-      '--run-metrics', metric_name_arg,
+      '--run-metrics', ','.join(metric_name_args),
       '--metrics-output', 'json',
       trace_file,
   ]
@@ -222,15 +224,17 @@ def RunMetric(trace_processor_path, trace_file, metric_name,
 
   histograms = histogram_set.HistogramSet()
   root_annotations = measurements.get('__annotations', {})
+  for metric_name in metric_names:
     full_metric_name = 'perfetto.protos.' + metric_name
     annotations = root_annotations.get(full_metric_name, None)
     metric_proto = measurements.get(full_metric_name, None)
     if metric_proto is None:
-    logging.warn("No metric found in the output.")
-    return histograms
+      logging.warn("Metric not found in the output: %s", metric_name)
+      continue
     elif annotations is None:
-    logging.info("Metric has no field with unit. Histograms will be empty.")
-    return histograms
+      logging.info("Skipping metric %s because it has no field with unit.",
+                   metric_name)
+      continue
 
     for field in _LeafFieldAnnotations(annotations):
       unit = field.field_options.get('unit', None)
@@ -246,6 +250,12 @@ def RunMetric(trace_processor_path, trace_file, metric_name,
   return histograms
 
 
+def RunMetric(trace_processor_path, trace_file, metric_name,
+              fetch_power_profile=False):
+  return RunMetrics(trace_processor_path, trace_file, [metric_name],
+                    fetch_power_profile)
+
+
 def ConvertProtoTraceToJson(trace_processor_path, proto_file, json_path):
   """Convert proto trace to json using trace processor.