def _CreateJob(request):
"""Creates a new Pinpoint job from WebOb request arguments."""
original_arguments = request.params.mixed()
logging.debug('Received Params: %s', original_arguments)
arguments = _ArgumentsWithConfiguration(original_arguments)
logging.debug('Updated Params: %s', arguments)
# Validate arguments and convert them to canonical internal representation.
quests = _GenerateQuests(arguments)
bug_id = _ValidateBugId(arguments.get('bug_id'))
comparison_mode = _ValidateComparisonMode(arguments.get('comparison_mode'))
comparison_magnitude = _ValidateComparisonMagnitude(
arguments.get('comparison_magnitude'))
gerrit_server, gerrit_change_id = _ValidatePatch(arguments.get('patch'))
name = arguments.get('name')
pin = _ValidatePin(arguments.get('pin'))
tags = _ValidateTags(arguments.get('tags'))
user = _ValidateUser(arguments.get('user'))
changes = _ValidateChanges(comparison_mode, arguments)
# TODO(dberris): Make this the default when we've graduated the beta.
use_execution_engine = (arguments.get('experimental_execution_engine')
and arguments.get('comparison_mode')
== job_state.PERFORMANCE)
# Create job.
job = job_module.Job.New(quests if not use_execution_engine else (),
changes,
arguments=original_arguments,
bug_id=bug_id,
comparison_mode=comparison_mode,
comparison_magnitude=comparison_magnitude,
gerrit_server=gerrit_server,
gerrit_change_id=gerrit_change_id,
name=name,
pin=pin,
tags=tags,
user=user,
use_execution_engine=use_execution_engine)
if use_execution_engine:
# TODO(dberris): We need to figure out a way to get the arguments to be more
# structured when it comes in from the UI, so that we don't need to do the
# manual translation of options here.
# TODO(dberris): Decide whether we can make some of these hard-coded options
# be part of a template that's available in the UI (or by configuration
# somewhere else, maybe luci-config?)
start_change, end_change = changes
target = arguments.get('target')
task_options = performance_bisection.TaskOptions(
build_option_template=performance_bisection.BuildOptionTemplate(
builder=arguments.get('builder'),
target=target,
bucket=arguments.get('bucket',
'master.tryserver.chromium.perf'),
),
test_option_template=performance_bisection.TestOptionTemplate(
swarming_server=arguments.get('swarming_server'),
dimensions=arguments.get('dimensions'),
extra_args=arguments.get('extra_test_args'),
),
read_option_template=performance_bisection.ReadOptionTemplate(
benchmark=arguments.get('benchmark'),
histogram_options=read_value.HistogramOptions(
grouping_label=arguments.get('grouping_label'),
story=arguments.get('story'),
statistic=arguments.get('statistic'),
histogram_name=arguments.get('chart'),
),
graph_json_options=read_value.GraphJsonOptions(
chart=arguments.get('chart'),
trace=arguments.get('trace')),
mode=('histogram_sets' if target
in performance_bisection.EXPERIMENTAL_TARGET_SUPPORT else
'graph_json')),
analysis_options=performance_bisection.AnalysisOptions(
comparison_magnitude=arguments.get('comparison_magnitude'),
min_attempts=10,
max_attempts=60,
),
start_change=start_change,
end_change=end_change,
pinned_change=arguments.get('patch'),
)
task_module.PopulateTaskGraph(
job, performance_bisection.CreateGraph(task_options, arguments))
return job
def _CreateJob(request):
"""Creates a new Pinpoint job from WebOb request arguments."""
original_arguments = request.params.mixed()
logging.debug('Received Params: %s', original_arguments)
# This call will fail if some of the required arguments are not in the
# original request.
_ValidateRequiredParams(original_arguments)
arguments = _ArgumentsWithConfiguration(original_arguments)
logging.debug('Updated Params: %s', arguments)
# Validate arguments and convert them to canonical internal representation.
quests = _GenerateQuests(arguments)
# Validate the priority, if it's present.
priority = _ValidatePriority(arguments.get('priority'))
# Validate and find the associated issue.
bug_id, project = _ValidateBugId(arguments.get('bug_id'),
arguments.get('project', 'chromium'))
comparison_mode = _ValidateComparisonMode(arguments.get('comparison_mode'))
comparison_magnitude = _ValidateComparisonMagnitude(
arguments.get('comparison_magnitude'))
gerrit_server, gerrit_change_id = _ValidatePatch(
arguments.get('patch', arguments.get('experiment_patch')))
name = arguments.get('name')
pin = _ValidatePin(arguments.get('pin'))
tags = _ValidateTags(arguments.get('tags'))
user = _ValidateUser(arguments.get('user'))
changes = _ValidateChanges(comparison_mode, arguments)
# If this is a try job, we assume it's higher priority than bisections, so
# we'll set it at a negative priority.
if priority not in arguments and comparison_mode == job_state.TRY:
priority = -1
# TODO(dberris): Make this the default when we've graduated the beta.
use_execution_engine = (arguments.get('experimental_execution_engine')
and arguments.get('comparison_mode')
== job_state.PERFORMANCE)
# Ensure that we have the required fields in tryjob requests.
if comparison_mode == 'try':
if 'benchmark' not in arguments:
raise ValueError('Missing required "benchmark" argument.')
# First we check whether there's a quest that's of type 'RunTelemetryTest'.
is_telemetry_test = any(
[isinstance(q, quest_module.RunTelemetryTest) for q in quests])
if is_telemetry_test and ('story' not in arguments
and 'story_tags' not in arguments):
raise ValueError(
'Missing either "story" or "story_tags" as arguments for try jobs.'
)
# Create job.
job = job_module.Job.New(quests if not use_execution_engine else (),
changes,
arguments=original_arguments,
bug_id=bug_id,
comparison_mode=comparison_mode,
comparison_magnitude=comparison_magnitude,
gerrit_server=gerrit_server,
gerrit_change_id=gerrit_change_id,
name=name,
pin=pin,
tags=tags,
user=user,
priority=priority,
use_execution_engine=use_execution_engine,
project=project)
if use_execution_engine:
# TODO(dberris): We need to figure out a way to get the arguments to be more
# structured when it comes in from the UI, so that we don't need to do the
# manual translation of options here.
# TODO(dberris): Decide whether we can make some of these hard-coded options
# be part of a template that's available in the UI (or by configuration
# somewhere else, maybe luci-config?)
start_change, end_change = changes
target = arguments.get('target')
task_options = performance_bisection.TaskOptions(
build_option_template=performance_bisection.BuildOptionTemplate(
builder=arguments.get('builder'),
target=target,
bucket=arguments.get('bucket',
'master.tryserver.chromium.perf'),
),
test_option_template=performance_bisection.TestOptionTemplate(
swarming_server=arguments.get('swarming_server'),
dimensions=arguments.get('dimensions'),
extra_args=arguments.get('extra_test_args'),
),
read_option_template=performance_bisection.ReadOptionTemplate(
benchmark=arguments.get('benchmark'),
histogram_options=read_value.HistogramOptions(
grouping_label=arguments.get('grouping_label'),
story=arguments.get('story'),
statistic=arguments.get('statistic'),
histogram_name=arguments.get('chart'),
),
graph_json_options=read_value.GraphJsonOptions(
chart=arguments.get('chart'),
trace=arguments.get('trace')),
mode=('histogram_sets' if target
in performance_bisection.EXPERIMENTAL_TARGET_SUPPORT else
'graph_json')),
analysis_options=performance_bisection.AnalysisOptions(
comparison_magnitude=arguments.get('comparison_magnitude'),
min_attempts=10,
max_attempts=60,
),
start_change=start_change,
end_change=end_change,
pinned_change=arguments.get('patch'),
)
task_module.PopulateTaskGraph(
job, performance_bisection.CreateGraph(task_options, arguments))
return job
def PopulateSimpleBisectionGraph(self):
"""Helper function to populate a task graph representing a bisection.
This function will populate the following graph on the associated job
initialised in the setUp function:
find_culprit
| |
| +--> read_value(start_cl, [0..min_attempts])
| |
| +--> run_test(start_cl, [0..min_attempts])
| |
| +--> find_isolate(start_cl)
|
+--> read_value(end_cl, [0..min_attempts])
|
+--> run_test(end_cl, [0..min_attempts])
|
+--> find_isolate(end_cl)
This is the starting point for all bisections on which we expect the
evaluator implementation will be operating with. In this specific case,
we're setting min_attempts at 10 and max_attempts at 100, then using the
special `commit_0` and `commit_5` git hashes as the range to bisect over.
The test base class sets up special meanings for these pseudo-hashes and all
infrastructure related to expanding that range.
"""
task_module.PopulateTaskGraph(
self.job,
performance_bisection.CreateGraph(
performance_bisection.TaskOptions(
build_option_template=performance_bisection.BuildOptionTemplate(
builder='Some Builder',
target='performance_telemetry_test',
bucket='luci.bucket'),
test_option_template=performance_bisection.TestOptionTemplate(
swarming_server='some_server',
dimensions=[],
extra_args=[],
),
read_option_template=performance_bisection.ReadOptionTemplate(
benchmark='some_benchmark',
histogram_options=read_value.HistogramOptions(
tir_label='some_tir_label',
story='some_story',
statistic='avg',
),
graph_json_options=read_value.GraphJsonOptions(
chart='some_chart',
trace='some_trace',
),
mode='histogram_sets'),
analysis_options=performance_bisection.AnalysisOptions(
comparison_magnitude=1.0,
min_attempts=10,
max_attempts=100,
),
start_change=change_module.Change.FromDict({
'commits': [{
'repository': 'chromium',
'git_hash': 'commit_0'
}]
}),
end_change=change_module.Change.FromDict({
'commits': [{
'repository': 'chromium',
'git_hash': 'commit_5'
}]
}),
pinned_change=None,
)))