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#!/usr/bin/env python3
#
# Copyright 2018, 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.
#
#
# Measure application start-up time by launching applications under various combinations.
# See --help for more details.
#
#
# Sample usage:
# $> ./app_startup_runner.py -p com.google.android.calculator -r warm -r cold -lc 10 -o out.csv
# $> ./analyze_metrics.py out.csv
#
#
import argparse
import csv
import itertools
import os
import sys
import tempfile
from typing import Any, Callable, Iterable, List, NamedTuple, TextIO, Tuple, \
TypeVar, Union, Optional
# local import
DIR = os.path.abspath(os.path.dirname(__file__))
sys.path.append(os.path.dirname(DIR))
from app_startup.run_app_with_prefetch import PrefetchAppRunner
import app_startup.lib.args_utils as args_utils
from app_startup.lib.data_frame import DataFrame
import lib.cmd_utils as cmd_utils
import lib.print_utils as print_utils
# The following command line options participate in the combinatorial generation.
# All other arguments have a global effect.
_COMBINATORIAL_OPTIONS = ['package', 'readahead', 'compiler_filter', 'activity']
_TRACING_READAHEADS = ['mlock', 'fadvise']
_FORWARD_OPTIONS = {'loop_count': '--count'}
_RUN_SCRIPT = os.path.join(os.path.dirname(os.path.realpath(__file__)),
'run_app_with_prefetch.py')
CollectorPackageInfo = NamedTuple('CollectorPackageInfo',
[('package', str), ('compiler_filter', str)])
_COLLECTOR_SCRIPT = os.path.join(os.path.dirname(os.path.realpath(__file__)),
'../iorap/collector')
_COLLECTOR_TIMEOUT_MULTIPLIER = 10 # take the regular --timeout and multiply
# by 2; systrace starts up slowly.
_UNLOCK_SCREEN_SCRIPT = os.path.join(
os.path.dirname(os.path.realpath(__file__)), 'unlock_screen')
RunCommandArgs = NamedTuple('RunCommandArgs',
[('package', str),
('readahead', str),
('activity', Optional[str]),
('compiler_filter', Optional[str]),
('timeout', Optional[int]),
('debug', bool),
('simulate', bool),
('input', Optional[str])])
# This must be the only mutable global variable. All other global variables are constants to avoid magic literals.
_debug = False # See -d/--debug flag.
_DEBUG_FORCE = None # Ignore -d/--debug if this is not none.
# Type hinting names.
T = TypeVar('T')
NamedTupleMeta = Callable[
..., T] # approximation of a (S : NamedTuple<T> where S() == T) metatype.
def parse_options(argv: List[str] = None):
"""Parse command line arguments and return an argparse Namespace object."""
parser = argparse.ArgumentParser(description="Run one or more Android "
"applications under various "
"settings in order to measure "
"startup time.")
# argparse considers args starting with - and -- optional in --help, even though required=True.
# by using a named argument group --help will clearly say that it's required instead of optional.
required_named = parser.add_argument_group('required named arguments')
required_named.add_argument('-p', '--package', action='append',
dest='packages',
help='package of the application', required=True)
required_named.add_argument('-r', '--readahead', action='append',
dest='readaheads',
help='which readahead mode to use',
choices=('warm', 'cold', 'mlock', 'fadvise'),
required=True)
# optional arguments
# use a group here to get the required arguments to appear 'above' the optional arguments in help.
optional_named = parser.add_argument_group('optional named arguments')
optional_named.add_argument('-c', '--compiler-filter', action='append',
dest='compiler_filters',
help='which compiler filter to use. if omitted it does not enforce the app\'s compiler filter',
choices=('speed', 'speed-profile', 'quicken'))
optional_named.add_argument('-s', '--simulate', dest='simulate',
action='store_true',
help='Print which commands will run, but don\'t run the apps')
optional_named.add_argument('-d', '--debug', dest='debug',
action='store_true',
help='Add extra debugging output')
optional_named.add_argument('-o', '--output', dest='output', action='store',
help='Write CSV output to file.')
optional_named.add_argument('-t', '--timeout', dest='timeout', action='store',
type=int, default=10,
help='Timeout after this many seconds when executing a single run.')
optional_named.add_argument('-lc', '--loop-count', dest='loop_count',
default=1, type=int, action='store',
help='How many times to loop a single run.')
optional_named.add_argument('-in', '--inodes', dest='inodes', type=str,
action='store',
help='Path to inodes file (system/extras/pagecache/pagecache.py -d inodes)')
return parser.parse_args(argv)
def make_script_command_with_temp_output(script: str,
args: List[str],
**kwargs) -> Tuple[str, TextIO]:
"""
Create a command to run a script given the args.
Appends --count <loop_count> --output <tmp-file-name>.
Returns a tuple (cmd, tmp_file)
"""
tmp_output_file = tempfile.NamedTemporaryFile(mode='r')
cmd = [script] + args
for key, value in kwargs.items():
cmd += ['--%s' % (key), "%s" % (value)]
if _debug:
cmd += ['--verbose']
cmd = cmd + ["--output", tmp_output_file.name]
return cmd, tmp_output_file
def key_to_cmdline_flag(key: str) -> str:
"""Convert key into a command line flag, e.g. 'foo-bars' -> '--foo-bar' """
if key.endswith("s"):
key = key[:-1]
return "--" + key.replace("_", "-")
def as_run_command(tpl: NamedTuple) -> List[Union[str, Any]]:
"""
Convert a named tuple into a command-line compatible arguments list.
Example: ABC(1, 2, 3) -> ['--a', 1, '--b', 2, '--c', 3]
"""
args = []
for key, value in tpl._asdict().items():
if value is None:
continue
args.append(key_to_cmdline_flag(key))
args.append(value)
return args
def run_collector_script(collector_info: CollectorPackageInfo,
inodes_path: str,
timeout: int,
simulate: bool) -> Tuple[bool, TextIO]:
"""Run collector to collect prefetching trace. """
# collector_args = ["--package", package_name]
collector_args = as_run_command(collector_info)
# TODO: forward --wait_time for how long systrace runs?
# TODO: forward --trace_buffer_size for size of systrace buffer size?
collector_cmd, collector_tmp_output_file = make_script_command_with_temp_output(
_COLLECTOR_SCRIPT, collector_args, inodes=inodes_path)
collector_timeout = timeout and _COLLECTOR_TIMEOUT_MULTIPLIER * timeout
(collector_passed, collector_script_output) = \
cmd_utils.execute_arbitrary_command(collector_cmd,
collector_timeout,
shell=False,
simulate=simulate)
return collector_passed, collector_tmp_output_file
def parse_run_script_csv_file(csv_file: TextIO) -> DataFrame:
"""Parse a CSV file full of integers into a DataFrame."""
csv_reader = csv.reader(csv_file)
try:
header_list = next(csv_reader)
except StopIteration:
header_list = []
if not header_list:
return None
headers = [i for i in header_list]
d = {}
for row in csv_reader:
header_idx = 0
for i in row:
v = i
if i:
v = int(i)
header_key = headers[header_idx]
l = d.get(header_key, [])
l.append(v)
d[header_key] = l
header_idx = header_idx + 1
return DataFrame(d)
def execute_run_combos(
grouped_run_combos: Iterable[Tuple[CollectorPackageInfo, Iterable[RunCommandArgs]]],
simulate: bool,
inodes_path: str,
timeout: int):
# nothing will work if the screen isn't unlocked first.
cmd_utils.execute_arbitrary_command([_UNLOCK_SCREEN_SCRIPT],
timeout,
simulate=simulate,
shell=False)
for collector_info, run_combos in grouped_run_combos:
for combos in run_combos:
args = as_run_command(combos)
if combos.readahead in _TRACING_READAHEADS:
passed, collector_tmp_output_file = run_collector_script(collector_info,
inodes_path,
timeout,
simulate)
combos = combos._replace(input=collector_tmp_output_file.name)
print_utils.debug_print(combos)
output = PrefetchAppRunner(**combos._asdict()).run()
yield DataFrame(dict((x, [y]) for x, y in output)) if output else None
def gather_results(commands: Iterable[Tuple[DataFrame]],
key_list: List[str], value_list: List[Tuple[str, ...]]):
print_utils.debug_print("gather_results: key_list = ", key_list)
stringify_none = lambda s: s is None and "<none>" or s
# yield key_list + ["time(ms)"]
for (run_result_list, values) in itertools.zip_longest(commands, value_list):
print_utils.debug_print("run_result_list = ", run_result_list)
print_utils.debug_print("values = ", values)
if not run_result_list:
continue
# RunCommandArgs(package='com.whatever', readahead='warm', compiler_filter=None)
# -> {'package':['com.whatever'], 'readahead':['warm'], 'compiler_filter':[None]}
values_dict = {}
for k, v in values._asdict().items():
if not k in key_list:
continue
values_dict[k] = [stringify_none(v)]
values_df = DataFrame(values_dict)
# project 'values_df' to be same number of rows as run_result_list.
values_df = values_df.repeat(run_result_list.data_row_len)
# the results are added as right-hand-side columns onto the existing labels for the table.
values_df.merge_data_columns(run_result_list)
yield values_df
def eval_and_save_to_csv(output, annotated_result_values):
printed_header = False
csv_writer = csv.writer(output)
for row in annotated_result_values:
if not printed_header:
headers = row.headers
csv_writer.writerow(headers)
printed_header = True
# TODO: what about when headers change?
for data_row in row.data_table:
data_row = [d for d in data_row]
csv_writer.writerow(data_row)
output.flush() # see the output live.
def coerce_to_list(opts: dict):
"""Tranform values of the dictionary to list.
For example:
1 -> [1], None -> [None], [1,2,3] -> [1,2,3]
[[1],[2]] -> [[1],[2]], {1:1, 2:2} -> [{1:1, 2:2}]
"""
result = {}
for key in opts:
val = opts[key]
result[key] = val if issubclass(type(val), list) else [val]
return result
def main():
global _debug
opts = parse_options()
_debug = opts.debug
if _DEBUG_FORCE is not None:
_debug = _DEBUG_FORCE
print_utils.DEBUG = _debug
cmd_utils.SIMULATE = opts.simulate
print_utils.debug_print("parsed options: ", opts)
output_file = opts.output and open(opts.output, 'w') or sys.stdout
combos = lambda: args_utils.generate_run_combinations(
RunCommandArgs,
coerce_to_list(vars(opts)),
opts.loop_count)
print_utils.debug_print_gen("run combinations: ", combos())
grouped_combos = lambda: args_utils.generate_group_run_combinations(combos(),
CollectorPackageInfo)
print_utils.debug_print_gen("grouped run combinations: ", grouped_combos())
exec = execute_run_combos(grouped_combos(),
opts.simulate,
opts.inodes,
opts.timeout)
results = gather_results(exec, _COMBINATORIAL_OPTIONS, combos())
eval_and_save_to_csv(output_file, results)
return 1
if __name__ == '__main__':
sys.exit(main())
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