fune/taskcluster/taskgraph/optimize/bugbug.py

212 lines
7.6 KiB
Python

# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at http://mozilla.org/MPL/2.0/.
from __future__ import absolute_import, print_function, unicode_literals
from collections import defaultdict
from six.moves.urllib.parse import urlsplit
from taskgraph.optimize import register_strategy, OptimizationStrategy, seta
from taskgraph.util.bugbug import (
BugbugTimeoutException,
push_schedules,
CT_HIGH,
CT_MEDIUM,
CT_LOW,
)
@register_strategy("bugbug-low", args=(CT_LOW,))
@register_strategy("bugbug-medium", args=(CT_MEDIUM,))
@register_strategy("bugbug-high", args=(CT_HIGH,))
@register_strategy("bugbug-tasks-medium", args=(CT_MEDIUM, True))
@register_strategy("bugbug-tasks-high", args=(CT_HIGH, True))
@register_strategy("bugbug-reduced", args=(CT_MEDIUM, True, True))
@register_strategy("bugbug-reduced-fallback", args=(CT_MEDIUM, True, True, True))
@register_strategy("bugbug-reduced-high", args=(CT_HIGH, True, True))
@register_strategy("bugbug-reduced-manifests", args=(CT_MEDIUM, False, True))
class BugBugPushSchedules(OptimizationStrategy):
"""Query the 'bugbug' service to retrieve relevant tasks and manifests.
Args:
confidence_threshold (float): The minimum confidence threshold (in
range [0, 1]) needed for a task to be scheduled.
tasks_only (bool): Whether or not to only use tasks and no groups
(default: False)
use_reduced_tasks (bool): Whether or not to use the reduced set of tasks
provided by the bugbug service (default: False).
fallback (bool): Whether or not to fallback to SETA if there was a failure
in bugbug (default: False)
"""
def __init__(
self,
confidence_threshold,
tasks_only=False,
use_reduced_tasks=False,
fallback=False,
):
self.confidence_threshold = confidence_threshold
self.use_reduced_tasks = use_reduced_tasks
self.fallback = fallback
self.tasks_only = tasks_only
self.timedout = False
def should_remove_task(self, task, params, importance):
if params['project'] not in ("autoland", "try"):
return False
branch = urlsplit(params['head_repository']).path.strip('/')
rev = params['head_rev']
if self.timedout:
return seta.is_low_value_task(task.label, params['project'])
try:
data = push_schedules(branch, rev)
except BugbugTimeoutException:
if not self.fallback:
raise
self.timedout = True
return self.should_remove_task(task, params, importance)
key = "reduced_tasks" if self.use_reduced_tasks else "tasks"
tasks = set(
task
for task, confidence in data.get(key, {}).items()
if confidence >= self.confidence_threshold
)
test_manifests = task.attributes.get('test_manifests')
if test_manifests is None or self.tasks_only:
if data.get("known_tasks") and task.label not in data["known_tasks"]:
return False
if task.label not in tasks:
return True
return False
# If a task contains more than one group, use the max confidence.
groups = data.get("groups", {})
confidences = [c for g, c in groups.items() if g in test_manifests]
if not confidences or max(confidences) < self.confidence_threshold:
return True
# Store group importance so future optimizers can access it.
for manifest in test_manifests:
if manifest not in groups:
continue
confidence = groups[manifest]
if confidence >= CT_HIGH:
importance[manifest] = 'high'
elif confidence >= CT_MEDIUM:
importance[manifest] = 'medium'
elif confidence >= CT_LOW:
importance[manifest] = 'low'
else:
importance[manifest] = 'lowest'
return False
@register_strategy("platform-debug")
class SkipUnlessDebug(OptimizationStrategy):
"""Only run debug platforms."""
def should_remove_task(self, task, params, arg):
return "build_type" in task.attributes and task.attributes["build_type"] != "debug"
@register_strategy("platform-disperse")
@register_strategy("platform-disperse-no-unseen", args=(None, 0))
@register_strategy("platform-disperse-only-one", args=({
'high': 1,
'medium': 1,
'low': 1,
'lowest': 0,
}, 0))
class DisperseGroups(OptimizationStrategy):
"""Disperse groups across test configs.
Each task has an associated 'importance' dict passed in via the arg. This
is of the form `{<group>: <importance>}`.
Where 'group' is a test group id (usually a path to a manifest), and 'importance' is
one of `{'lowest', 'low', 'medium', 'high'}`.
Each importance value has an associated 'count' as defined in
`self.target_counts`. It guarantees that 'manifest' will run in at least
'count' different configurations (assuming there are enough tasks
containing 'manifest').
On configurations that haven't been seen before, we'll increase the target
count by `self.unseen_modifier` to increase the likelihood of scheduling a
task on that configuration.
Args:
target_counts (dict): Override DEFAULT_TARGET_COUNTS with custom counts. This
is a dict mapping the importance value ('lowest', 'low', etc) to the
minimum number of configurations manifests with this value should run
on.
unseen_modifier (int): Override DEFAULT_UNSEEN_MODIFIER to a custom
value. This is the amount we'll increase 'target_count' by for unseen
configurations.
"""
DEFAULT_TARGET_COUNTS = {
'high': 3,
'medium': 2,
'low': 1,
'lowest': 0,
}
DEFAULT_UNSEEN_MODIFIER = 1
def __init__(self, target_counts=None, unseen_modifier=DEFAULT_UNSEEN_MODIFIER):
self.target_counts = self.DEFAULT_TARGET_COUNTS.copy()
if target_counts:
self.target_counts.update(target_counts)
self.unseen_modifier = unseen_modifier
self.count = defaultdict(int)
self.seen_configurations = set()
def should_remove_task(self, task, params, importance):
test_manifests = task.attributes.get("test_manifests")
test_platform = task.attributes.get("test_platform")
if not importance or not test_manifests or not test_platform:
return False
# Build the test configuration key.
key = test_platform
if 'unittest_variant' in task.attributes:
key += "-" + task.attributes['unittest_variant']
if not task.attributes["e10s"]:
key += "-1proc"
important_manifests = set(test_manifests) & set(importance)
for manifest in important_manifests:
target_count = self.target_counts[importance[manifest]]
# If this configuration hasn't been seen before, increase the
# likelihood of scheduling the task.
if key not in self.seen_configurations:
target_count += self.unseen_modifier
if self.count[manifest] < target_count:
# Update manifest counts and seen configurations.
self.seen_configurations.add(key)
for manifest in important_manifests:
self.count[manifest] += 1
return False
# Should remove task because all manifests have reached their
# importance count (or there were no important manifests).
return True