1.1 --- /dev/null Thu Jan 01 00:00:00 1970 +0000
1.2 +++ b/media/webrtc/trunk/build/android/pylib/json_perf_parser.py Wed Dec 31 06:09:35 2014 +0100
1.3 @@ -0,0 +1,160 @@
1.4 +# Copyright (c) 2012 The Chromium Authors. All rights reserved.
1.5 +# Use of this source code is governed by a BSD-style license that can be
1.6 +# found in the LICENSE file.
1.7 +
1.8 +
1.9 +"""A helper module for parsing JSON objects from perf tests results."""
1.10 +
1.11 +import json
1.12 +
1.13 +
1.14 +def GetAverageRunInfo(json_data, name):
1.15 + """Summarizes TraceEvent JSON data for performance metrics.
1.16 +
1.17 + Example JSON Inputs (More tags can be added but these are required):
1.18 + Measuring Duration:
1.19 + [
1.20 + { "cat": "Java",
1.21 + "ts": 10000000000,
1.22 + "ph": "S",
1.23 + "name": "TestTrace"
1.24 + },
1.25 + { "cat": "Java",
1.26 + "ts": 10000004000,
1.27 + "ph": "F",
1.28 + "name": "TestTrace"
1.29 + },
1.30 + ...
1.31 + ]
1.32 +
1.33 + Measuring Call Frequency (FPS):
1.34 + [
1.35 + { "cat": "Java",
1.36 + "ts": 10000000000,
1.37 + "ph": "I",
1.38 + "name": "TestTraceFPS"
1.39 + },
1.40 + { "cat": "Java",
1.41 + "ts": 10000004000,
1.42 + "ph": "I",
1.43 + "name": "TestTraceFPS"
1.44 + },
1.45 + ...
1.46 + ]
1.47 +
1.48 + Args:
1.49 + json_data: A list of dictonaries each representing a JSON object.
1.50 + name: The 'name' tag to filter on in the JSON file.
1.51 +
1.52 + Returns:
1.53 + A dictionary of result data with the following tags:
1.54 + min: The minimum value tracked.
1.55 + max: The maximum value tracked.
1.56 + average: The average of all the values tracked.
1.57 + count: The number of times the category/name pair was tracked.
1.58 + type: The type of tracking ('Instant' for instant tags and 'Span' for
1.59 + begin/end tags.
1.60 + category: The passed in category filter.
1.61 + name: The passed in name filter.
1.62 + data_points: A list of all of the times used to generate this data.
1.63 + units: The units for the values being reported.
1.64 +
1.65 + Raises:
1.66 + Exception: if entry contains invalid data.
1.67 + """
1.68 +
1.69 + def EntryFilter(entry):
1.70 + return entry['cat'] == 'Java' and entry['name'] == name
1.71 + filtered_entries = filter(EntryFilter, json_data)
1.72 +
1.73 + result = {}
1.74 +
1.75 + result['min'] = -1
1.76 + result['max'] = -1
1.77 + result['average'] = 0
1.78 + result['count'] = 0
1.79 + result['type'] = 'Unknown'
1.80 + result['category'] = 'Java'
1.81 + result['name'] = name
1.82 + result['data_points'] = []
1.83 + result['units'] = ''
1.84 +
1.85 + total_sum = 0
1.86 +
1.87 + last_val = 0
1.88 + val_type = None
1.89 + for entry in filtered_entries:
1.90 + if not val_type:
1.91 + if 'mem' in entry:
1.92 + val_type = 'mem'
1.93 +
1.94 + def GetVal(entry):
1.95 + return entry['mem']
1.96 +
1.97 + result['units'] = 'kb'
1.98 + elif 'ts' in entry:
1.99 + val_type = 'ts'
1.100 +
1.101 + def GetVal(entry):
1.102 + return float(entry['ts']) / 1000.0
1.103 +
1.104 + result['units'] = 'ms'
1.105 + else:
1.106 + raise Exception('Entry did not contain valid value info: %s' % entry)
1.107 +
1.108 + if not val_type in entry:
1.109 + raise Exception('Entry did not contain expected value type "%s" '
1.110 + 'information: %s' % (val_type, entry))
1.111 + val = GetVal(entry)
1.112 + if (entry['ph'] == 'S' and
1.113 + (result['type'] == 'Unknown' or result['type'] == 'Span')):
1.114 + result['type'] = 'Span'
1.115 + last_val = val
1.116 + elif ((entry['ph'] == 'F' and result['type'] == 'Span') or
1.117 + (entry['ph'] == 'I' and (result['type'] == 'Unknown' or
1.118 + result['type'] == 'Instant'))):
1.119 + if last_val > 0:
1.120 + delta = val - last_val
1.121 + if result['min'] == -1 or result['min'] > delta:
1.122 + result['min'] = delta
1.123 + if result['max'] == -1 or result['max'] < delta:
1.124 + result['max'] = delta
1.125 + total_sum += delta
1.126 + result['count'] += 1
1.127 + result['data_points'].append(delta)
1.128 + if entry['ph'] == 'I':
1.129 + result['type'] = 'Instant'
1.130 + last_val = val
1.131 + if result['count'] > 0: result['average'] = total_sum / result['count']
1.132 +
1.133 + return result
1.134 +
1.135 +
1.136 +def GetAverageRunInfoFromJSONString(json_string, name):
1.137 + """Returns the results from GetAverageRunInfo using a JSON string.
1.138 +
1.139 + Args:
1.140 + json_string: The string containing JSON.
1.141 + name: The 'name' tag to filter on in the JSON file.
1.142 +
1.143 + Returns:
1.144 + See GetAverageRunInfo Returns section.
1.145 + """
1.146 + return GetAverageRunInfo(json.loads(json_string), name)
1.147 +
1.148 +
1.149 +def GetAverageRunInfoFromFile(json_file, name):
1.150 + """Returns the results from GetAverageRunInfo using a JSON file.
1.151 +
1.152 + Args:
1.153 + json_file: The path to a JSON file.
1.154 + name: The 'name' tag to filter on in the JSON file.
1.155 +
1.156 + Returns:
1.157 + See GetAverageRunInfo Returns section.
1.158 + """
1.159 + with open(json_file, 'r') as f:
1.160 + data = f.read()
1.161 + perf = json.loads(data)
1.162 +
1.163 + return GetAverageRunInfo(perf, name)
