blob: 62c4c609da4ac117785855d26befccf19d556b83 [file] [log] [blame]
#!/usr/bin/env python
# Copyright 2016 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.
"""Script to generate chromium.perf.json and chromium.perf.fyi.json in
the src/testing/buildbot directory. Maintaining these files by hand is
too unwieldy.
"""
import argparse
import json
import os
import sys
from chrome_telemetry_build import chromium_config
sys.path.append(chromium_config.GetTelemetryDir())
from telemetry import benchmark as benchmark_module
from telemetry.core import discover
from telemetry.util import bot_utils
SCRIPT_TESTS = [
{
'args': [
'gpu_perftests',
'--adb-path',
'src/third_party/catapult/devil/bin/deps/linux2/x86_64/bin/adb',
],
'name': 'gpu_perftests',
'script': 'gtest_perf_test.py',
'testers': {
'chromium.perf': [
{
'name': 'Android Nexus5 Perf',
'shards': [2]
},
{
'name': 'Android Nexus7v2 Perf',
'shards': [2]
}
# crbug.com/663762
#{
# 'name': 'Android Nexus9 Perf',
# 'shards': [2]
#}
],
}
},
{
'args': [
'cc_perftests',
'--adb-path',
'src/third_party/catapult/devil/bin/deps/linux2/x86_64/bin/adb',
],
'name': 'cc_perftests',
'script': 'gtest_perf_test.py',
'testers': {
'chromium.perf': [
# crbug.com/698831
# {
# 'name': 'Android Nexus5 Perf',
# 'shards': [2]
# },
# {
# 'name': 'Android Nexus6 Perf',
# 'shards': [2]
# },
# {
# 'name': 'Android Nexus7v2 Perf',
# 'shards': [2]
# },
{
'name': 'Android Nexus9 Perf',
'shards': [2]
},
],
}
},
{
'args': [
'tracing_perftests',
'--adb-path',
'src/third_party/catapult/devil/bin/deps/linux2/x86_64/bin/adb',
],
'name': 'tracing_perftests',
'script': 'gtest_perf_test.py',
'testers': {
'chromium.perf': [
{
'name': 'Android Nexus5 Perf',
'shards': [2]
},
{
'name': 'Android Nexus6 Perf',
'shards': [2]
},
{
'name': 'Android Nexus7v2 Perf',
'shards': [2]
},
{
'name': 'Android Nexus9 Perf',
'shards': [2]
},
]
}
},
]
def add_builder(waterfall, name, additional_compile_targets=None):
waterfall['builders'][name] = added = {}
if additional_compile_targets:
added['additional_compile_targets'] = additional_compile_targets
return waterfall
def add_tester(waterfall, name, perf_id, platform, target_bits=64,
num_host_shards=1, num_device_shards=1, swarming=None,
use_whitelist=False):
del perf_id # this will be needed
waterfall['testers'][name] = {
'platform': platform,
'num_device_shards': num_device_shards,
'num_host_shards': num_host_shards,
'target_bits': target_bits,
'use_whitelist': use_whitelist
}
if swarming:
waterfall['testers'][name]['swarming_dimensions'] = swarming
waterfall['testers'][name]['swarming'] = True
return waterfall
def get_fyi_waterfall_config():
waterfall = {'builders':{}, 'testers': {}}
waterfall = add_tester(
waterfall, 'Win 10 Low-End Perf Tests',
'win-10-low-end', 'win',
swarming=[
{
'gpu': '1002:9874',
'os': 'Windows-10-10586',
'device_ids': [
'build171-b4', 'build186-b4', 'build202-b4', 'build203-b4',
'build204-b4', 'build205-b4', 'build206-b4', 'build207-b4',
'build208-b4', 'build209-b4', 'build210-b4', 'build211-b4',
'build212-b4', 'build213-b4', 'build214-b4', 'build215-b4',
'build216-b4', 'build217-b4', 'build218-b4', 'build219-b4',
'build220-b4', 'build221-b4']
}
])
waterfall = add_tester(
waterfall, 'Win 10 4 Core Low-End Perf Tests',
'win-10-4-core-low-end', 'win',
swarming=[
{
'gpu': '8086:22b1',
'os': 'Windows-10-10586',
'device_ids': [
'build136-b1', 'build137-b1', 'build138-b1', 'build139-b1',
'build140-b1', 'build141-b1', 'build142-b1', 'build143-b1',
'build144-b1', 'build145-b1', 'build146-b1', 'build147-b1',
'build148-b1', 'build149-b1', 'build150-b1', 'build151-b1',
'build152-b1', 'build153-b1', 'build154-b1', 'build155-b1',
'build47-b4', 'build48-b4'],
'perf_tests': [
('cc_perftests', 0),
('gpu_perftests', 0),
('load_library_perf_tests', 0),
('angle_perftests', 1),
('performance_browser_tests', 1),
('tracing_perftests', 1)]
}
])
waterfall = add_tester(
waterfall, 'Android Swarming N5X Tester',
'fyi-android-swarming-n5x', 'android',
swarming=[
{
'os': 'Android',
'android_devices': '1',
'device_ids': [
'build245-m4--device1', 'build245-m4--device2',
'build245-m4--device3', 'build245-m4--device4',
'build245-m4--device5', 'build245-m4--device6',
'build245-m4--device7', 'build248-m4--device1',
'build248-m4--device2', 'build248-m4--device3',
'build248-m4--device4', 'build248-m4--device5',
'build248-m4--device6', 'build248-m4--device7',
'build249-m4--device1', 'build249-m4--device2',
'build249-m4--device3', 'build249-m4--device4',
'build249-m4--device5', 'build249-m4--device6',
'build249-m4--device7'
]
}
])
return waterfall
def get_waterfall_config():
waterfall = {'builders':{}, 'testers': {}}
waterfall = add_builder(
waterfall, 'Android Compile', additional_compile_targets=[
'microdump_stackwalk'
])
waterfall = add_builder(
waterfall, 'Android arm64 Compile', additional_compile_targets=[
'microdump_stackwalk'
])
# These configurations are taken from chromium_perf.py in
# build/scripts/slave/recipe_modules/chromium_tests and must be kept in sync
# to generate the correct json for each tester
waterfall = add_tester(
waterfall, 'Android Nexus5 Perf', 'android-nexus5',
'android', target_bits=32, num_device_shards=7, num_host_shards=3)
waterfall = add_tester(
waterfall, 'Android Nexus5X Perf', 'android-nexus5X',
'android', target_bits=32, num_device_shards=7, num_host_shards=3)
waterfall = add_tester(
waterfall, 'Android Nexus6 Perf', 'android-nexus6',
'android', target_bits=32, num_device_shards=7, num_host_shards=3)
waterfall = add_tester(
waterfall, 'Android Nexus7v2 Perf', 'android-nexus7v2',
'android', target_bits=32, num_device_shards=7, num_host_shards=3)
waterfall = add_tester(
waterfall, 'Android One Perf', 'android-one',
'android', target_bits=32, num_device_shards=7, num_host_shards=3)
waterfall = add_tester(
waterfall, 'Win Zenbook Perf', 'win-zenbook', 'win',
swarming=[
{
'gpu': '8086:161e',
'os': 'Windows-10-10240',
'device_ids': [
'build30-b1', 'build31-b1',
'build32-b1', 'build33-b1', 'build34-b1'
]
}
])
waterfall = add_tester(
waterfall, 'Win 10 High-DPI Perf', 'win-high-dpi', 'win',
swarming=[
{
'gpu': '8086:1616',
'os': 'Windows-10-10240',
'device_ids': [
'build117-b1', 'build118-b1',
'build119-b1', 'build120-b1', 'build121-b1'
]
}
])
waterfall = add_tester(
waterfall, 'Win 10 Perf', 'chromium-rel-win10', 'win',
swarming=[
{
'gpu': '102b:0534',
'os': 'Windows-10-10240',
'device_ids': [
'build132-m1', 'build133-m1',
'build134-m1', 'build135-m1', 'build136-m1'
],
'perf_tests': [
('media_perftests', 2)]
}
])
waterfall = add_tester(
waterfall, 'Win 8 Perf', 'chromium-rel-win8-dual', 'win',
swarming=[
{
'gpu': '102b:0532',
'os': 'Windows-2012ServerR2-SP0',
'device_ids': [
'build143-m1', 'build144-m1',
'build145-m1', 'build146-m1', 'build147-m1'
],
'perf_tests': [
('load_library_perf_tests', 2),
('performance_browser_tests', 2),
('media_perftests', 3)]
}
])
waterfall = add_tester(
waterfall, 'Win 7 Perf', 'chromium-rel-win7-dual',
'win', target_bits=32,
swarming=[
{
'gpu': '102b:0532',
'os': 'Windows-2008ServerR2-SP1',
'device_ids': [
'build185-m1', 'build186-m1',
'build187-m1', 'build188-m1', 'build189-m1'
],
'perf_tests': [
('load_library_perf_tests', 2),
('performance_browser_tests', 2),
('media_perftests', 3)]
}
])
waterfall = add_tester(
waterfall, 'Win 7 x64 Perf',
'chromium-rel-win7-x64-dual', 'win',
swarming=[
{
'gpu': '102b:0532',
'os': 'Windows-2008ServerR2-SP1',
'device_ids': [
'build138-m1', 'build139-m1',
'build140-m1', 'build141-m1', 'build142-m1'
],
'perf_tests': [
('load_library_perf_tests', 2),
('performance_browser_tests', 2)]
}
])
waterfall = add_tester(
waterfall, 'Win 7 ATI GPU Perf',
'chromium-rel-win7-gpu-ati', 'win',
swarming=[
{
'gpu': '1002:6613',
'os': 'Windows-2008ServerR2-SP1',
'device_ids': [
'build101-m1', 'build102-m1',
'build103-m1', 'build104-m1', 'build105-m1'
],
'perf_tests': [
('angle_perftests', 2),
('load_library_perf_tests', 2),
('performance_browser_tests', 2),
('media_perftests', 3)]
}
])
waterfall = add_tester(
waterfall, 'Win 7 Intel GPU Perf',
'chromium-rel-win7-gpu-intel', 'win',
swarming=[
{
'gpu': '8086:041a',
'os': 'Windows-2008ServerR2-SP1',
'device_ids': [
'build164-m1', 'build165-m1',
'build166-m1', 'build167-m1', 'build168-m1'
],
'perf_tests': [
('angle_perftests', 2),
('load_library_perf_tests', 2),
('performance_browser_tests', 2)]
}
])
waterfall = add_tester(
waterfall, 'Win 7 Nvidia GPU Perf',
'chromium-rel-win7-gpu-nvidia', 'win',
swarming=[
{
'gpu': '10de:104a',
'os': 'Windows-2008ServerR2-SP1',
'device_ids': [
'build92-m1', 'build93-m1',
'build94-m1', 'build95-m1', 'build96-m1'
],
'perf_tests': [
('angle_perftests', 2),
('load_library_perf_tests', 2),
('performance_browser_tests', 2),
('media_perftests', 3)]
}
])
waterfall = add_tester(
waterfall, 'Mac 10.11 Perf', 'chromium-rel-mac11',
'mac',
swarming=[
{
'gpu': '8086:0166',
'os': 'Mac-10.11',
'device_ids': [
'build102-b1', 'build103-b1',
'build104-b1', 'build105-b1', 'build106-b1'
],
'perf_tests': [
('media_perftests', 3)]
}
])
waterfall = add_tester(
waterfall, 'Mac 10.12 Perf', 'chromium-rel-mac12',
'mac',
swarming=[
{
'os': 'Mac-10.12',
'gpu': '8086:0a2e',
'device_ids': [
'build158-m1', 'build159-m1', 'build160-m1',
'build161-m1', 'build162-m1']
}
])
waterfall = add_tester(
waterfall, 'Mac Retina Perf',
'chromium-rel-mac-retina', 'mac',
swarming=[
{
'gpu': '8086:0d26',
'os': 'Mac-10.11',
'device_ids': [
'build4-b1', 'build5-b1', 'build6-b1', 'build7-b1', 'build8-b1'
]
}
])
waterfall = add_tester(
waterfall, 'Mac Pro 10.11 Perf',
'chromium-rel-mac11-pro', 'mac',
swarming=[
{
'gpu': '1002:6821',
'os': 'Mac-10.11',
'device_ids': [
'build128-b1', 'build129-b1',
'build130-b1', 'build131-b1', 'build132-b1'
]
}
])
waterfall = add_tester(
waterfall, 'Mac Air 10.11 Perf',
'chromium-rel-mac11-air', 'mac',
swarming=[
{
'gpu': '8086:1626',
'os': 'Mac-10.11',
'device_ids': [
'build123-b1', 'build124-b1',
'build125-b1', 'build126-b1', 'build127-b1'
]
}
])
waterfall = add_tester(
waterfall, 'Mac Mini 8GB 10.12 Perf',
'chromium-rel-mac12-mini-8gb', 'mac',
swarming=[
{
'gpu': '8086:0a26',
'os': 'Mac-10.12',
'device_ids': [
'build24-b1', 'build25-b1',
'build26-b1', 'build27-b1', 'build28-b1'
]
}
])
waterfall = add_tester(
waterfall, 'Linux Perf', 'linux-release', 'linux',
swarming=[
{
'gpu': '102b:0534',
'os': 'Ubuntu-14.04',
'device_ids': [
'build148-m1', 'build149-m1',
'build150-m1', 'build151-m1', 'build152-m1'
],
'perf_tests': [
# crbug.com/698831
# ('cc_perftests', 2),
('load_library_perf_tests', 2),
('tracing_perftests', 2),
('media_perftests', 3)]
}
])
return waterfall
def generate_isolate_script_entry(swarming_dimensions, test_args,
isolate_name, step_name, override_compile_targets=None,
swarming_timeout=None):
result = {
'args': test_args,
'isolate_name': isolate_name,
'name': step_name,
}
if override_compile_targets:
result['override_compile_targets'] = override_compile_targets
if swarming_dimensions:
result['swarming'] = {
# Always say this is true regardless of whether the tester
# supports swarming. It doesn't hurt.
'can_use_on_swarming_builders': True,
'expiration': 7 * 60 * 60, # 7 hour timeout for now. See crbug.com/699312
'hard_timeout': swarming_timeout if swarming_timeout else 7200,
'io_timeout': 3600,
'dimension_sets': swarming_dimensions,
}
return result
def generate_telemetry_test(swarming_dimensions, benchmark_name, browser):
# The step name must end in 'test' or 'tests' in order for the
# results to automatically show up on the flakiness dashboard.
# (At least, this was true some time ago.) Continue to use this
# naming convention for the time being to minimize changes.
test_args = [
benchmark_name,
'-v',
'--upload-results',
'--output-format=chartjson',
'--browser=%s' % browser
]
# When this is enabled on more than just windows machines we will need
# --device=android
step_name = benchmark_name
if browser == 'reference':
test_args.append('--output-trace-tag=_ref')
step_name += '.reference'
return generate_isolate_script_entry(
swarming_dimensions, test_args, 'telemetry_perf_tests',
step_name, ['telemetry_perf_tests'],
swarming_timeout=BENCHMARK_SWARMING_TIMEOUTS.get(benchmark_name))
def script_test_enabled_on_tester(master, test, tester_name, shard):
for enabled_tester in test['testers'].get(master, []):
if enabled_tester['name'] == tester_name:
if shard in enabled_tester['shards']:
return True
return False
def generate_script_tests(master, tester_name, shard):
script_tests = []
for test in SCRIPT_TESTS:
if script_test_enabled_on_tester(master, test, tester_name, shard):
script = {
'args': test['args'],
'name': test['name'],
'script': test['script']
}
script_tests.append(script)
return script_tests
def get_swarming_dimension(dimension, device_affinity):
complete_dimension = {
'id': dimension['device_ids'][device_affinity],
'os': dimension['os'],
'pool': 'Chrome-perf',
}
if 'gpu' in dimension:
complete_dimension['gpu'] = dimension['gpu']
if 'android_devices' in dimension:
complete_dimension['android_devices'] = dimension['android_devices']
return complete_dimension
def generate_cplusplus_isolate_script_test(dimension):
return [
generate_isolate_script_entry(
[get_swarming_dimension(dimension, shard)], [], name, name)
for name, shard in dimension['perf_tests']
]
def generate_telemetry_tests(
tester_config, benchmarks, benchmark_sharding_map, use_whitelist):
isolated_scripts = []
# First determine the browser that you need based on the tester
browser_name = ''
if tester_config['platform'] == 'android':
browser_name = 'android-chromium'
elif (tester_config['platform'] == 'win'
and tester_config['target_bits'] == 64):
browser_name = 'release_x64'
else:
browser_name ='release'
num_shards = len(tester_config['swarming_dimensions'][0]['device_ids'])
current_shard = 0
for benchmark in benchmarks:
# First figure out swarming dimensions this test needs to be triggered on.
# For each set of dimensions it is only triggered on one of the devices
swarming_dimensions = []
for dimension in tester_config['swarming_dimensions']:
device_affinity = None
if benchmark_sharding_map:
sharding_map = benchmark_sharding_map.get(str(num_shards), None)
if not sharding_map and not use_whitelist:
raise Exception('Invalid number of shards, generate new sharding map')
if use_whitelist:
device_affinity = current_shard
else:
device_affinity = sharding_map.get(benchmark.Name(), None)
else:
# No sharding map was provided, default to legacy device
# affinity algorithm
device_affinity = bot_utils.GetDeviceAffinity(
num_shards, benchmark.Name())
if device_affinity is None:
raise Exception('Device affinity for benchmark %s not found'
% benchmark.Name())
swarming_dimensions.append(
get_swarming_dimension(dimension, device_affinity))
test = generate_telemetry_test(
swarming_dimensions, benchmark.Name(), browser_name)
isolated_scripts.append(test)
# Now create another executable for this benchmark on the reference browser
reference_test = generate_telemetry_test(
swarming_dimensions, benchmark.Name(),'reference')
isolated_scripts.append(reference_test)
if current_shard == (num_shards - 1):
current_shard = 0
else:
current_shard += 1
return isolated_scripts
BENCHMARK_NAME_WHITELIST = set([
u'smoothness.top_25_smooth',
u'sunspider',
u'system_health.webview_startup',
u'page_cycler_v2.intl_hi_ru',
u'dromaeo.cssqueryjquery',
])
# List of benchmarks that are to never be run on a waterfall.
BENCHMARK_NAME_BLACKLIST = [
'multipage_skpicture_printer',
'multipage_skpicture_printer_ct',
'rasterize_and_record_micro_ct',
'repaint_ct',
'multipage_skpicture_printer',
'multipage_skpicture_printer_ct',
'skpicture_printer',
'skpicture_printer_ct',
]
# Overrides the default 2 hour timeout for swarming tasks.
BENCHMARK_SWARMING_TIMEOUTS = {
'loading.mobile': 14400,
}
# Certain swarming bots are not sharding correctly with the new device affinity
# algorithm. Reverting to legacy algorithm to try and get them to complete.
# See crbug.com/670284
LEGACY_DEVICE_AFFIINITY_ALGORITHM = [
'Win Zenbook Perf',
'Win 10 High-DPI Perf',
]
def current_benchmarks(use_whitelist):
benchmarks_dir = os.path.join(src_dir(), 'tools', 'perf', 'benchmarks')
top_level_dir = os.path.dirname(benchmarks_dir)
all_benchmarks = discover.DiscoverClasses(
benchmarks_dir, top_level_dir, benchmark_module.Benchmark,
index_by_class_name=True).values()
# Remove all blacklisted benchmarks
for blacklisted in BENCHMARK_NAME_BLACKLIST:
for benchmark in all_benchmarks:
if benchmark.Name() == blacklisted:
all_benchmarks.remove(benchmark)
break
if use_whitelist:
all_benchmarks = (
bench for bench in all_benchmarks
if bench.Name() in BENCHMARK_NAME_WHITELIST)
return sorted(all_benchmarks, key=lambda b: b.Name())
# Returns a sorted list of (benchmark, avg_runtime) pairs for every
# benchmark in the all_benchmarks list where avg_runtime is in seconds. Also
# returns a list of benchmarks whose run time have not been seen before
def get_sorted_benchmark_list_by_time(all_benchmarks):
runtime_list = []
benchmark_avgs = {}
new_benchmarks = []
timing_file_path = os.path.join(src_dir(), 'tools', 'perf', 'core',
'desktop_benchmark_avg_times.json')
# Load in the avg times as calculated on Nov 1st, 2016
with open(timing_file_path) as f:
benchmark_avgs = json.load(f)
for benchmark in all_benchmarks:
benchmark_avg_time = benchmark_avgs.get(benchmark.Name(), None)
if benchmark_avg_time is None:
# Assume that this is a new benchmark that was added after 11/1/16 when
# we generated the benchmarks. Use the old affinity algorithm after
# we have given the rest the same distribution, add it to the
# new benchmarks list.
new_benchmarks.append(benchmark)
else:
# Need to multiple the seconds by 2 since we will be generating two tests
# for each benchmark to be run on the same shard for the reference build
runtime_list.append((benchmark, benchmark_avg_time * 2.0))
# Return a reverse sorted list by runtime
runtime_list.sort(key=lambda tup: tup[1], reverse=True)
return runtime_list, new_benchmarks
# Returns a map of benchmark name to shard it is on.
def shard_benchmarks(num_shards, all_benchmarks):
benchmark_to_shard_dict = {}
shard_execution_times = [0] * num_shards
sorted_benchmark_list, new_benchmarks = get_sorted_benchmark_list_by_time(
all_benchmarks)
# Iterate over in reverse order and add them to the current smallest bucket.
for benchmark in sorted_benchmark_list:
# Find current smallest bucket
min_index = shard_execution_times.index(min(shard_execution_times))
benchmark_to_shard_dict[benchmark[0].Name()] = min_index
shard_execution_times[min_index] += benchmark[1]
# For all the benchmarks that didn't have avg run times, use the default
# device affinity algorithm
for benchmark in new_benchmarks:
device_affinity = bot_utils.GetDeviceAffinity(num_shards, benchmark.Name())
benchmark_to_shard_dict[benchmark.Name()] = device_affinity
return benchmark_to_shard_dict
def generate_all_tests(waterfall):
tests = {}
all_benchmarks = current_benchmarks(False)
whitelist_benchmarks = current_benchmarks(True)
# Get benchmark sharding according to common sharding configurations
# Currently we only have bots sharded 5 directions and 1 direction
benchmark_sharding_map = {}
benchmark_sharding_map['22'] = shard_benchmarks(22, all_benchmarks)
benchmark_sharding_map['5'] = shard_benchmarks(5, all_benchmarks)
benchmark_sharding_map['1'] = shard_benchmarks(1, all_benchmarks)
benchmark_sharding_map['21'] = shard_benchmarks(21, all_benchmarks)
for name, config in waterfall['testers'].iteritems():
use_whitelist = config['use_whitelist']
benchmark_list = all_benchmarks
if use_whitelist:
benchmark_list = whitelist_benchmarks
if config.get('swarming', False):
# Our current configuration only ever has one set of swarming dimensions
# Make sure this still holds true
if len(config['swarming_dimensions']) > 1:
raise Exception('Invalid assumption on number of swarming dimensions')
# Generate benchmarks
sharding_map = benchmark_sharding_map
if name in LEGACY_DEVICE_AFFIINITY_ALGORITHM:
sharding_map = None
isolated_scripts = generate_telemetry_tests(
config, benchmark_list, sharding_map, use_whitelist)
# Generate swarmed non-telemetry tests if present
if config['swarming_dimensions'][0].get('perf_tests', False):
isolated_scripts += generate_cplusplus_isolate_script_test(
config['swarming_dimensions'][0])
tests[name] = {
'isolated_scripts': sorted(isolated_scripts, key=lambda x: x['name'])
}
else:
# scripts are only currently run in addition to the main waterfall. They
# are currently the only thing generated in the perf json file.
# TODO eyaich: will need to handle the sharding differently when we have
# swarmed bots on the main waterfall.
for shard in range(0, config['num_host_shards']):
tester_name = '%s (%d)' % (name, shard + 1)
scripts = generate_script_tests(waterfall['name'], name, shard + 1)
if scripts:
tests[tester_name] = {
'scripts': sorted(scripts, key=lambda x: x['name'])
}
for name, config in waterfall['builders'].iteritems():
tests[name] = config
tests['AAAAA1 AUTOGENERATED FILE DO NOT EDIT'] = {}
tests['AAAAA2 See //tools/perf/generate_perf_data.py to make changes'] = {}
return tests
def get_json_config_file_for_waterfall(waterfall):
filename = '%s.json' % waterfall['name']
buildbot_dir = os.path.join(src_dir(), 'testing', 'buildbot')
return os.path.join(buildbot_dir, filename)
def tests_are_up_to_date(waterfall):
tests = generate_all_tests(waterfall)
tests_data = json.dumps(tests, indent=2, separators=(',', ': '),
sort_keys=True)
config_file = get_json_config_file_for_waterfall(waterfall)
with open(config_file, 'r') as fp:
config_data = fp.read().strip()
return tests_data == config_data
def update_all_tests(waterfall):
tests = generate_all_tests(waterfall)
config_file = get_json_config_file_for_waterfall(waterfall)
with open(config_file, 'w') as fp:
json.dump(tests, fp, indent=2, separators=(',', ': '), sort_keys=True)
fp.write('\n')
def src_dir():
file_path = os.path.abspath(__file__)
return os.path.dirname(os.path.dirname(
os.path.dirname(os.path.dirname(file_path))))
def main(args):
parser = argparse.ArgumentParser(
description=('Generate perf test\' json config. This need to be done '
'anytime you add/remove any existing benchmarks in '
'tools/perf/benchmarks.'))
parser.add_argument(
'--validate-only', action='store_true', default=False,
help=('Validate whether the perf json generated will be the same as the '
'existing configs. This does not change the contain of existing '
'configs'))
options = parser.parse_args(args)
waterfall = get_waterfall_config()
waterfall['name'] = 'chromium.perf'
fyi_waterfall = get_fyi_waterfall_config()
fyi_waterfall['name'] = 'chromium.perf.fyi'
if options.validate_only:
if tests_are_up_to_date(fyi_waterfall) and tests_are_up_to_date(waterfall):
print 'All the perf JSON config files are up-to-date. \\o/'
return 0
else:
print ('The perf JSON config files are not up-to-date. Please run %s '
'without --validate-only flag to update the perf JSON '
'configs.') % sys.argv[0]
return 1
else:
update_all_tests(fyi_waterfall)
update_all_tests(waterfall)
return 0