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[chromium-blink-merge.git] / build / android / pylib / instrumentation / json_perf_parser.py
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1 # Copyright 2013 The Chromium Authors. All rights reserved.
2 # Use of this source code is governed by a BSD-style license that can be
3 # found in the LICENSE file.
6 """A helper module for parsing JSON objects from perf tests results."""
8 import json
11 def GetAverageRunInfo(json_data, name):
12 """Summarizes TraceEvent JSON data for performance metrics.
14 Example JSON Inputs (More tags can be added but these are required):
15 Measuring Duration:
17 { "cat": "Java",
18 "ts": 10000000000,
19 "ph": "S",
20 "name": "TestTrace"
22 { "cat": "Java",
23 "ts": 10000004000,
24 "ph": "F",
25 "name": "TestTrace"
27 ...
30 Measuring Call Frequency (FPS):
32 { "cat": "Java",
33 "ts": 10000000000,
34 "ph": "I",
35 "name": "TestTraceFPS"
37 { "cat": "Java",
38 "ts": 10000004000,
39 "ph": "I",
40 "name": "TestTraceFPS"
42 ...
45 Args:
46 json_data: A list of dictonaries each representing a JSON object.
47 name: The 'name' tag to filter on in the JSON file.
49 Returns:
50 A dictionary of result data with the following tags:
51 min: The minimum value tracked.
52 max: The maximum value tracked.
53 average: The average of all the values tracked.
54 count: The number of times the category/name pair was tracked.
55 type: The type of tracking ('Instant' for instant tags and 'Span' for
56 begin/end tags.
57 category: The passed in category filter.
58 name: The passed in name filter.
59 data_points: A list of all of the times used to generate this data.
60 units: The units for the values being reported.
62 Raises:
63 Exception: if entry contains invalid data.
64 """
66 def EntryFilter(entry):
67 return entry['cat'] == 'Java' and entry['name'] == name
68 filtered_entries = [j for j in json_data if EntryFilter(j)]
70 result = {}
72 result['min'] = -1
73 result['max'] = -1
74 result['average'] = 0
75 result['count'] = 0
76 result['type'] = 'Unknown'
77 result['category'] = 'Java'
78 result['name'] = name
79 result['data_points'] = []
80 result['units'] = ''
82 total_sum = 0
84 last_val = 0
85 val_type = None
86 for entry in filtered_entries:
87 if not val_type:
88 if 'mem' in entry:
89 val_type = 'mem'
91 def GetVal(entry):
92 return entry['mem']
94 result['units'] = 'kb'
95 elif 'ts' in entry:
96 val_type = 'ts'
98 def GetVal(entry):
99 return float(entry['ts']) / 1000.0
101 result['units'] = 'ms'
102 else:
103 raise Exception('Entry did not contain valid value info: %s' % entry)
105 if not val_type in entry:
106 raise Exception('Entry did not contain expected value type "%s" '
107 'information: %s' % (val_type, entry))
108 val = GetVal(entry)
109 if (entry['ph'] == 'S' and
110 (result['type'] == 'Unknown' or result['type'] == 'Span')):
111 result['type'] = 'Span'
112 last_val = val
113 elif ((entry['ph'] == 'F' and result['type'] == 'Span') or
114 (entry['ph'] == 'I' and (result['type'] == 'Unknown' or
115 result['type'] == 'Instant'))):
116 if last_val > 0:
117 delta = val - last_val
118 if result['min'] == -1 or result['min'] > delta:
119 result['min'] = delta
120 if result['max'] == -1 or result['max'] < delta:
121 result['max'] = delta
122 total_sum += delta
123 result['count'] += 1
124 result['data_points'].append(delta)
125 if entry['ph'] == 'I':
126 result['type'] = 'Instant'
127 last_val = val
128 if result['count'] > 0:
129 result['average'] = total_sum / result['count']
131 return result
134 def GetAverageRunInfoFromJSONString(json_string, name):
135 """Returns the results from GetAverageRunInfo using a JSON string.
137 Args:
138 json_string: The string containing JSON.
139 name: The 'name' tag to filter on in the JSON file.
141 Returns:
142 See GetAverageRunInfo Returns section.
144 return GetAverageRunInfo(json.loads(json_string), name)
147 def GetAverageRunInfoFromFile(json_file, name):
148 """Returns the results from GetAverageRunInfo using a JSON file.
150 Args:
151 json_file: The path to a JSON file.
152 name: The 'name' tag to filter on in the JSON file.
154 Returns:
155 See GetAverageRunInfo Returns section.
157 with open(json_file, 'r') as f:
158 data = f.read()
159 perf = json.loads(data)
161 return GetAverageRunInfo(perf, name)