# Copyright 2019 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. from __future__ import absolute_import from __future__ import division from __future__ import print_function import codecs import csv import gzip import json import logging from six.moves import map # pylint: disable=redefined-builtin from tracing_build import html2trace, trace2html GZIP_FILENAME_SUFFIX = '.gz' HTML_FILENAME_SUFFIX = '.html' JSON_FILENAME_SUFFIX = '.json' TRACE_METADATA_ARG_NAME_MAP = { 'process_sort_index': 'sort_index', 'process_name': 'name' } def LoadTraces(chrome_trace_filename): """Load traces from a file and return them as a python list. There are several tools in tracing/bin that deal with reading traces from a file. None of them does exactly what we need here. In particular, merge_traces.LoadTrace will discard all traces but one if an HTML file has several traces. TODO(chiniforooshan): create a module for reading/writing different trace file formats and make every other tool use that module. """ traces = [] if chrome_trace_filename.endswith(GZIP_FILENAME_SUFFIX): with gzip.open(chrome_trace_filename, 'rb') as f: traces.append(json.load(f)) elif chrome_trace_filename.endswith(HTML_FILENAME_SUFFIX): with codecs.open(chrome_trace_filename, mode='r', encoding='utf-8') as f: traces = html2trace.ReadTracesFromHTMLFile(f) elif chrome_trace_filename.endswith(JSON_FILENAME_SUFFIX): with open(chrome_trace_filename, 'r') as f: traces.append(json.load(f)) else: raise Exception('Unknown trace file suffix: %s' % chrome_trace_filename) return list(map(_ConvertToDictIfNecessary, traces)) def WriteTraces(output_filename, traces): if output_filename.endswith(GZIP_FILENAME_SUFFIX): with gzip.open(output_filename, 'wb') as f: json.dump(_ConcatTraces(traces), f) elif output_filename.endswith(HTML_FILENAME_SUFFIX): with codecs.open(output_filename, mode='w', encoding='utf-8') as f: trace2html.WriteHTMLForTraceDataToFile( traces, 'Chrome trace with Snapdragon profiler data', f) elif output_filename.endswith(JSON_FILENAME_SUFFIX): with open(output_filename, 'w') as f: json.dump(_ConcatTraces(traces), f) else: raise Exception('Unknown trace file suffix: %s' % output_filename) def LoadCSV(csv_filename): with open(csv_filename, 'r') as csv_file: reader = csv.DictReader(csv_file, delimiter=',') for row in reader: yield row def AddSnapdragonProfilerData(traces, snapdragon_csv): clock_offset = None min_ts = None max_ts = 0 max_pid = 0 for trace in traces: should_use_timestamps_from_this_trace = False if 'metadata' in trace and 'clock-offset-since-epoch' in trace['metadata']: if clock_offset is not None: logging.warning('Found more than one clock offset') else: clock_offset = int(trace['metadata']['clock-offset-since-epoch']) should_use_timestamps_from_this_trace = True if 'traceEvents' in trace: for event in trace['traceEvents']: max_pid = max(max_pid, event['pid'], event['tid']) if should_use_timestamps_from_this_trace and event['ph'] != 'M': ts = event['ts'] max_ts = max(ts + (event['dur'] if 'dur' in event else 0), max_ts) if min_ts is None or min_ts > ts: min_ts = ts if clock_offset is None: raise Exception('Cannot find clock offset in Chrome traces') process_names = {} num_counter_events = 0 events = [] for row in snapdragon_csv: ts = int(row['TimestampRaw']) - clock_offset if ts < min_ts or ts > max_ts: continue if row['Process'] not in process_names: max_pid += 1 process_names[row['Process']] = max_pid events.append(_MetadataEvent(max_pid, 'process_sort_index', -7)) events.append(_MetadataEvent(max_pid, 'process_name', row['Process'])) pid = process_names[row['Process']] events.append(_CounterEvent(pid, ts, row['Metric'], row['Value'])) num_counter_events += 1 logging.info('Added %d counter events.', num_counter_events) traces.append({'traceEvents': events}) def _ConcatTraces(traces): # As long as at most one of the traces has a field with a non-list value, e.g. # a metadata field, we can trivially concat them. # # TODO(chiniforooshan): to support writing several traces with several # metadata fields in a JSON file, we can write a simple # trace_list_importer.html that treats each of them as a subtrace. # # Note: metadata fields should not be confused with metadata trace events. result = None for trace in traces: if result is None: result = trace.copy() continue for k, v in trace.items(): if k in result: if not isinstance(v, list): raise Exception('Cannot concat two traces with non-list values ' '(e.g. two traces with metadata)') result[k].extend(v) else: result[k] = list(v) if isinstance(v, list) else v return result def _ConvertToDictIfNecessary(trace): return {'traceEvents': trace} if isinstance(trace, list) else trace def _MetadataEvent(pid, name, value): if name not in TRACE_METADATA_ARG_NAME_MAP: raise Exception('Unknown metadata name: %s' % name) arg_name = TRACE_METADATA_ARG_NAME_MAP[name] return { 'pid': pid, 'tid': pid, 'ts': 0, 'ph': 'M', 'cat': '__metadata', 'name': name, 'args': {arg_name: value} } def _CounterEvent(pid, timestamp, name, value): if not isinstance(value, float): value = float(value) return { 'pid': pid, 'tid': pid, 'ts': timestamp, 'ph': 'C', 'name': name, 'args': {'Value': value} }