#!/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()