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#!/usr/bin/env python3
# Copyright (C) 2020 The Android Open Source Project
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import argparse
from perfetto.trace_processor import TraceProcessor
def main():
# Parse arguments passed from command line
parser = argparse.ArgumentParser()
parser.add_argument(
"-a",
"--address",
help="Address at which trace_processor is being run, e.g. localhost:9001",
type=str)
parser.add_argument(
"-b",
"--binary",
help="Absolute path to a trace processor binary",
type=str)
parser.add_argument("-f", "--file", help="Absolute path to trace", type=str)
args = parser.parse_args()
# Pass arguments into api to construct the trace processor and load the trace
if args.address is None and args.file is None:
raise Exception("You must specify an address or a file path to trace")
elif args.address is None:
tp = TraceProcessor(file_path=args.file, bin_path=args.binary)
elif args.file is None:
tp = TraceProcessor(addr=args.address)
else:
tp = TraceProcessor(
addr=args.address, file_path=args.file, bin_path=args.binary)
# Iterate through QueryResultIterator
res_it = tp.query('select * from slice limit 10')
for row in res_it:
print(row.name)
# Convert QueryResultIterator into a pandas dataframe + iterate. This yields
# the same results as the function above.
try:
res_df = tp.query('select * from slice limit 10').as_pandas_dataframe()
for index, row in res_df.iterrows():
print(row['name'])
except Exception:
pass
# Call another function on the loaded trace
am_metrics = tp.metric(['android_mem'])
tp.close()
if __name__ == "__main__":
main()
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