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diff --git a/third_party/libwebrtc/build/android/pylib/instrumentation/json_perf_parser.py b/third_party/libwebrtc/build/android/pylib/instrumentation/json_perf_parser.py
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+# Copyright 2013 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.
+
+
+"""A helper module for parsing JSON objects from perf tests results."""
+
+
+import json
+
+
+def GetAverageRunInfo(json_data, name):
+ """Summarizes TraceEvent JSON data for performance metrics.
+
+ Example JSON Inputs (More tags can be added but these are required):
+ Measuring Duration:
+ [
+ { "cat": "Java",
+ "ts": 10000000000,
+ "ph": "S",
+ "name": "TestTrace"
+ },
+ { "cat": "Java",
+ "ts": 10000004000,
+ "ph": "F",
+ "name": "TestTrace"
+ },
+ ...
+ ]
+
+ Measuring Call Frequency (FPS):
+ [
+ { "cat": "Java",
+ "ts": 10000000000,
+ "ph": "I",
+ "name": "TestTraceFPS"
+ },
+ { "cat": "Java",
+ "ts": 10000004000,
+ "ph": "I",
+ "name": "TestTraceFPS"
+ },
+ ...
+ ]
+
+ Args:
+ json_data: A list of dictonaries each representing a JSON object.
+ name: The 'name' tag to filter on in the JSON file.
+
+ Returns:
+ A dictionary of result data with the following tags:
+ min: The minimum value tracked.
+ max: The maximum value tracked.
+ average: The average of all the values tracked.
+ count: The number of times the category/name pair was tracked.
+ type: The type of tracking ('Instant' for instant tags and 'Span' for
+ begin/end tags.
+ category: The passed in category filter.
+ name: The passed in name filter.
+ data_points: A list of all of the times used to generate this data.
+ units: The units for the values being reported.
+
+ Raises:
+ Exception: if entry contains invalid data.
+ """
+
+ def EntryFilter(entry):
+ return entry['cat'] == 'Java' and entry['name'] == name
+ filtered_entries = [j for j in json_data if EntryFilter(j)]
+
+ result = {}
+
+ result['min'] = -1
+ result['max'] = -1
+ result['average'] = 0
+ result['count'] = 0
+ result['type'] = 'Unknown'
+ result['category'] = 'Java'
+ result['name'] = name
+ result['data_points'] = []
+ result['units'] = ''
+
+ total_sum = 0
+
+ last_val = 0
+ val_type = None
+ for entry in filtered_entries:
+ if not val_type:
+ if 'mem' in entry:
+ val_type = 'mem'
+
+ def GetVal(entry):
+ return entry['mem']
+
+ result['units'] = 'kb'
+ elif 'ts' in entry:
+ val_type = 'ts'
+
+ def GetVal(entry):
+ return float(entry['ts']) / 1000.0
+
+ result['units'] = 'ms'
+ else:
+ raise Exception('Entry did not contain valid value info: %s' % entry)
+
+ if not val_type in entry:
+ raise Exception('Entry did not contain expected value type "%s" '
+ 'information: %s' % (val_type, entry))
+ val = GetVal(entry)
+ if (entry['ph'] == 'S' and
+ (result['type'] == 'Unknown' or result['type'] == 'Span')):
+ result['type'] = 'Span'
+ last_val = val
+ elif ((entry['ph'] == 'F' and result['type'] == 'Span') or
+ (entry['ph'] == 'I' and (result['type'] == 'Unknown' or
+ result['type'] == 'Instant'))):
+ if last_val > 0:
+ delta = val - last_val
+ if result['min'] == -1 or result['min'] > delta:
+ result['min'] = delta
+ if result['max'] == -1 or result['max'] < delta:
+ result['max'] = delta
+ total_sum += delta
+ result['count'] += 1
+ result['data_points'].append(delta)
+ if entry['ph'] == 'I':
+ result['type'] = 'Instant'
+ last_val = val
+ if result['count'] > 0:
+ result['average'] = total_sum / result['count']
+
+ return result
+
+
+def GetAverageRunInfoFromJSONString(json_string, name):
+ """Returns the results from GetAverageRunInfo using a JSON string.
+
+ Args:
+ json_string: The string containing JSON.
+ name: The 'name' tag to filter on in the JSON file.
+
+ Returns:
+ See GetAverageRunInfo Returns section.
+ """
+ return GetAverageRunInfo(json.loads(json_string), name)
+
+
+def GetAverageRunInfoFromFile(json_file, name):
+ """Returns the results from GetAverageRunInfo using a JSON file.
+
+ Args:
+ json_file: The path to a JSON file.
+ name: The 'name' tag to filter on in the JSON file.
+
+ Returns:
+ See GetAverageRunInfo Returns section.
+ """
+ with open(json_file, 'r') as f:
+ data = f.read()
+ perf = json.loads(data)
+
+ return GetAverageRunInfo(perf, name)