161 lines
4.3 KiB
Python
161 lines
4.3 KiB
Python
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# Copyright (c) 2012 The Chromium Authors. All rights reserved.
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# Use of this source code is governed by a BSD-style license that can be
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# found in the LICENSE file.
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"""A helper module for parsing JSON objects from perf tests results."""
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import json
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def GetAverageRunInfo(json_data, name):
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"""Summarizes TraceEvent JSON data for performance metrics.
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Example JSON Inputs (More tags can be added but these are required):
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Measuring Duration:
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[
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{ "cat": "Java",
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"ts": 10000000000,
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"ph": "S",
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"name": "TestTrace"
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},
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{ "cat": "Java",
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"ts": 10000004000,
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"ph": "F",
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"name": "TestTrace"
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},
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...
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]
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Measuring Call Frequency (FPS):
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[
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{ "cat": "Java",
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"ts": 10000000000,
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"ph": "I",
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"name": "TestTraceFPS"
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},
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{ "cat": "Java",
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"ts": 10000004000,
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"ph": "I",
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"name": "TestTraceFPS"
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},
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...
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]
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Args:
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json_data: A list of dictonaries each representing a JSON object.
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name: The 'name' tag to filter on in the JSON file.
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Returns:
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A dictionary of result data with the following tags:
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min: The minimum value tracked.
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max: The maximum value tracked.
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average: The average of all the values tracked.
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count: The number of times the category/name pair was tracked.
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type: The type of tracking ('Instant' for instant tags and 'Span' for
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begin/end tags.
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category: The passed in category filter.
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name: The passed in name filter.
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data_points: A list of all of the times used to generate this data.
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units: The units for the values being reported.
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Raises:
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Exception: if entry contains invalid data.
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"""
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def EntryFilter(entry):
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return entry['cat'] == 'Java' and entry['name'] == name
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filtered_entries = filter(EntryFilter, json_data)
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result = {}
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result['min'] = -1
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result['max'] = -1
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result['average'] = 0
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result['count'] = 0
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result['type'] = 'Unknown'
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result['category'] = 'Java'
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result['name'] = name
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result['data_points'] = []
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result['units'] = ''
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total_sum = 0
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last_val = 0
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val_type = None
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for entry in filtered_entries:
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if not val_type:
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if 'mem' in entry:
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val_type = 'mem'
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def GetVal(entry):
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return entry['mem']
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result['units'] = 'kb'
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elif 'ts' in entry:
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val_type = 'ts'
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def GetVal(entry):
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return float(entry['ts']) / 1000.0
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result['units'] = 'ms'
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else:
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raise Exception('Entry did not contain valid value info: %s' % entry)
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if not val_type in entry:
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raise Exception('Entry did not contain expected value type "%s" '
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'information: %s' % (val_type, entry))
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val = GetVal(entry)
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if (entry['ph'] == 'S' and
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(result['type'] == 'Unknown' or result['type'] == 'Span')):
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result['type'] = 'Span'
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last_val = val
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elif ((entry['ph'] == 'F' and result['type'] == 'Span') or
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(entry['ph'] == 'I' and (result['type'] == 'Unknown' or
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result['type'] == 'Instant'))):
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if last_val > 0:
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delta = val - last_val
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if result['min'] == -1 or result['min'] > delta:
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result['min'] = delta
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if result['max'] == -1 or result['max'] < delta:
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result['max'] = delta
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total_sum += delta
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result['count'] += 1
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result['data_points'].append(delta)
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if entry['ph'] == 'I':
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result['type'] = 'Instant'
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last_val = val
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if result['count'] > 0: result['average'] = total_sum / result['count']
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return result
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def GetAverageRunInfoFromJSONString(json_string, name):
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"""Returns the results from GetAverageRunInfo using a JSON string.
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Args:
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json_string: The string containing JSON.
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name: The 'name' tag to filter on in the JSON file.
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Returns:
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See GetAverageRunInfo Returns section.
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"""
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return GetAverageRunInfo(json.loads(json_string), name)
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def GetAverageRunInfoFromFile(json_file, name):
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"""Returns the results from GetAverageRunInfo using a JSON file.
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Args:
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json_file: The path to a JSON file.
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name: The 'name' tag to filter on in the JSON file.
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Returns:
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See GetAverageRunInfo Returns section.
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"""
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with open(json_file, 'r') as f:
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data = f.read()
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perf = json.loads(data)
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return GetAverageRunInfo(perf, name)
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