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("-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 == None and args.file == None:
raise Exception("You must specify an address or a file path to trace")
elif args.address == None:
tp = TraceProcessor(file_path=args.file)
elif args.file == None:
tp = TraceProcessor(uri=args.address)
else:
tp = TraceProcessor(uri=args.address, file_path=args.file)
# Call functions on the loaded trace
res_it = tp.query('select * from slice limit 10')
for row in res_it:
print(row.name)
am_metrics = tp.metric(['android_mem'])
tp.close()
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()
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()
