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# Copyright 2014 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.
import datetime
import functools
import hashlib
import os.path
from recipe_engine import recipe_api
from recipe_engine import util as recipe_util
# Minimally supported version of swarming.py script (reported by --version).
MINIMAL_SWARMING_VERSION = (0, 8, 6)
# The IMPLIED_*_BINARIES will be installed to the swarming task at this local
# path.
IMPLIED_BINARY_PATH = '.swarming_module'
# This is the name and path for the cache used for the implied binaries
# (specifically vpython). The name of the implied cache will be prepended with
# IMPLIED_CACHE_NAME, and the path will be relative to IMPLIED_CACHE_BASE.
IMPLIED_CACHE_NAME = 'swarming_module_cache'
IMPLIED_CACHE_BASE = '.swarming_module_cache'
IMPLIED_CACHES = {
'vpython': 'vpython',
}
IMPLIED_ENV_PREFIXES = {
'VPYTHON_VIRTUALENV_ROOT': '/'.join((IMPLIED_CACHE_BASE, 'vpython')),
}
# These CIPD packages will be automatically put on $PATH for all swarming tasks
# generated from this module. The first member of the tuple is the path relative
# to IMPLIED_BINARY_PATH which should be added to $PATH.
IMPLIED_CIPD_BINARIES = {
# Both vpython versions MUST be changed together.
'infra/tools/luci/vpython/${platform}':
('', 'git_revision:96f81e737868d43124b4661cf1c325296ca04944'),
'infra/tools/luci/vpython-native/${platform}':
('', 'git_revision:96f81e737868d43124b4661cf1c325296ca04944'),
'infra/tools/luci/logdog/butler/${platform}':
('', 'git_revision:e1abc57be62d198b5c2f487bfb2fa2d2eb0e867c'),
# NOTE(crbug.com/812693): this isn't currently available on arm. See
# SwarmingApi.trigger_task for hack.
'infra/python/cpython/${platform}':
('bin', 'version:2.7.14.chromium14'),
}
def safe(f, *args, **kw):
try:
f(*args, **kw)
return True
except Exception:
return False
def filter_outdir(dumps, output_dir, text_files=('.txt', '.json', ''),
msize=1024):
"""Create a summary of contents of a raw_io.output_dir."""
outdir_json = {}
for filename in sorted(output_dir):
_, ext = os.path.splitext(filename)
contents = output_dir[filename]
# If a text file is small enough, just dump it
if ext in text_files and len(contents) < msize and safe(dumps, contents):
output = contents
# Otherwise, just output some details
else:
output = {
'sha1': hashlib.sha1(contents).hexdigest(),
'size': len(contents),
}
if ext in text_files:
hsize = int(msize/2)
output['type'] = 'text'
if safe(dumps, contents[:hsize]):
# Space in the name so it sorts a[ :x],a[-x:]
output['contents[ :%s]' % hsize] = contents[:hsize]
if safe(dumps, contents[-hsize:]):
output['contents[-%s:]' % hsize] = contents[-hsize:]
else:
output['type'] = 'binary'
outdir_json[filename] = output
return outdir_json
def text_for_task(task):
lines = []
if task.dimensions.get('id'):
lines.append('Bot id: %r' % task.dimensions['id'])
if task.dimensions.get('os'):
lines.append('Run on OS: %r' % task.dimensions['os'])
return '<br/>'.join(lines)
def parse_time(value):
"""Converts serialized time from the API to datetime.datetime."""
# When microseconds are 0, the '.123456' suffix is elided. This means the
# serialized format is not consistent, which confuses the hell out of python.
# TODO(maruel): Remove third format once we enforce version >=0.8.2.
for fmt in ('%Y-%m-%dT%H:%M:%S.%f', '%Y-%m-%dT%H:%M:%S', '%Y-%m-%d %H:%M:%S'):
try:
return datetime.datetime.strptime(value, fmt)
except ValueError: # pragma: no cover
pass
raise ValueError('Failed to parse %s' % value) # pragma: no cover
def fmt_time(seconds):
"""Formats some number of seconds into a string. If this is < 60, it will
render as `NNs`. If it's >= 60 seconds, it will render as 'hh:mm:ss'."""
return (
'%ds' % (seconds,) if seconds < 60
else str(datetime.timedelta(seconds=seconds))
)
class ReadOnlyDict(dict):
def __setitem__(self, key, value):
raise TypeError('ReadOnlyDict is immutable')
class SwarmingApi(recipe_api.RecipeApi):
"""Recipe module to use swarming.py tool to run tasks on Swarming.
General usage:
1. Tweak default task parameters applied to all swarming tasks (such as
default_dimensions and default_priority).
2. Isolate some test using 'isolate' recipe module. Get isolated hash as
a result of that process.
3. Create a task configuration using 'task(...)' method, providing
isolated hash obtained previously.
4. Tweak the task parameters. This step is optional.
5. Launch the task on swarming by calling 'trigger_task(...)'.
6. Continue doing useful work locally while the task is running concurrently
on swarming.
7. Wait for task to finish and collect its result (exit code, logs)
by calling 'collect_task(...)'.
See also example.py for concrete code.
"""
def _get_exit_code(self, shard):
if 'exit_code' in shard:
return int(shard['exit_code'])
if shard.get('state') == 'COMPLETED':
# This case, task finished successfully.
return 0
return None
def __init__(self, **kwargs):
super(SwarmingApi, self).__init__(**kwargs)
# All tests default to a x86-64 bot running with no GPU. This simplifies
# management so that new tests are not executed on exotic bots by accidents
# even if misconfigured.
self._default_dimensions = {
'cpu': 'x86-64',
'gpu': 'none',
}
# Expirations are set to mildly good values and will be tightened soon.
self._default_expiration = 60*60
self._default_env = {}
self._default_hard_timeout = 60*60
self._default_idempotent = False
self._default_io_timeout = 20*60
# The default priority is extremely low and should be increased dependending
# on the type of task.
self._default_priority = 200
self._default_tags = set()
self._default_user = None
self._pending_tasks = set()
self._service_account_json = None
self._show_outputs_ref_in_collect_step = True
self._show_shards_in_collect_step = False
self._swarming_server = 'https://chromium-swarm.appspot.com'
self._verbose = False
# Record all durations of shards for aggregation.
self._shards_durations = []
# Counter used to ensure test data task ids are unique across different
# triggers.
self._task_test_data_id_offset = 0
self._task_output_stdout = 'all'
def initialize(self):
self.add_default_tag(
'build_is_experimental:' + str(self.m.runtime.is_experimental).lower())
@recipe_util.returns_placeholder
def summary(self):
return self.m.json.output()
@property
def service_account_json(self):
"""Service account json to use for swarming."""
return self._service_account_json
@service_account_json.setter
def service_account_json(self, value):
"""Service account json to use for swarming."""
self._service_account_json = value
@property
def swarming_server(self):
"""URL of Swarming server to use, default is a production one."""
return self._swarming_server
@swarming_server.setter
def swarming_server(self, value):
"""Changes URL of Swarming server to use."""
self._swarming_server = value
@property
def verbose(self):
"""True to run swarming scripts with verbose output."""
return self._verbose
@verbose.setter
def verbose(self, value):
"""Enables or disables verbose output in swarming scripts."""
assert isinstance(value, bool), value
self._verbose = value
@property
def default_expiration(self):
"""Number of seconds that the server will wait to find a bot able to run the
task.
If not bot runs the task by this number of seconds, the task is canceled as
EXPIRED.
This value can be changed per individual task.
"""
return self._default_expiration
@default_expiration.setter
def default_expiration(self, value):
assert 30 <= value <= 24*60*60, value
self._default_expiration = value
@property
def default_hard_timeout(self):
"""Number of seconds in which the task must complete.
If the task takes more than this amount of time, the process is assumed to
be hung. It forcibly killed via SIGTERM then SIGKILL after a grace period
(default: 30s). Then the task is marked as TIMED_OUT.
This value can be changed per individual task.
"""
return self._default_hard_timeout
@default_hard_timeout.setter
def default_hard_timeout(self, value):
assert 30 <= value <= 6*60*60, value
self._default_hard_timeout = value
@property
def default_io_timeout(self):
"""Number of seconds at which interval the task must write to stdout or
stderr.
If the task takes more than this amount of time between writes to stdout or
stderr, the process is assumed to be hung. It forcibly killed via SIGTERM
then SIGKILL after a grace period (default: 30s). Then the task is marked as
TIMED_OUT.
This value can be changed per individual task.
"""
return self._default_io_timeout
@default_io_timeout.setter
def default_io_timeout(self, value):
assert 30 <= value <= 6*60*60, value
self._default_io_timeout = value
@property
def default_idempotent(self):
"""Bool to specify if task deduplication can be done.
When set, the server will search for another task that ran in the last days
that had the exact same properties. If it finds one, the task will not be
run at all, the previous results will be returned as-is.
For more infos, see:
https://github.com/luci/luci-py/blob/master/appengine/swarming/doc/User-Guide.md#task-idempotency
This value can be changed per individual task.
"""
return self._default_idempotent
@default_idempotent.setter
def default_idempotent(self, value):
assert isinstance(value, bool), value
self._default_idempotent = value
@property
def default_user(self):
"""String to represent who triggered the task.
The user should be an email address when someone requested testing via
pre-commit or manual testing.
This value can be changed per individual task.
"""
return self._default_user
@default_user.setter
def default_user(self, value):
assert value is None or isinstance(value, basestring), value
self._default_user = value
@property
def default_dimensions(self):
"""Returns a copy of the default Swarming dimensions to run task on.
The dimensions are what is used to filter which bots are able to run the
task successfully. This is particularly useful to discern between OS
versions, type of CPU, GPU card or VM, or preallocated pool.
Example:
{'cpu': 'x86-64', 'os': 'Windows-XP-SP3'}
This value can be changed per individual task.
"""
return ReadOnlyDict(self._default_dimensions)
def set_default_dimension(self, key, value):
assert isinstance(key, basestring), key
assert isinstance(value, basestring) or value is None, value
if value is None:
self._default_dimensions.pop(key, None)
else:
self._default_dimensions[key] = value
@property
def default_env(self):
"""Returns a copy of the default environment variable to run tasks with.
By default the environment variable is not modified. Additional environment
variables can be specified for each task.
This value can be changed per individual task.
"""
return ReadOnlyDict(self._default_env)
def set_default_env(self, key, value):
assert isinstance(key, basestring), key
assert isinstance(value, basestring), value
self._default_env[key] = value
@property
def default_priority(self):
"""Swarming task priority for tasks triggered from the recipe.
Priority ranges from 1 to 255. The lower the value, the most important the
task is and will preempty any task with a lower priority.
This value can be changed per individual task.
"""
return self._default_priority
@default_priority.setter
def default_priority(self, value):
assert 1 <= value <= 255
self._default_priority = value
@property
def task_output_stdout(self):
"""Flag passed to swarming client with -task-output-stdout."""
return self._task_output_stdout
@task_output_stdout.setter
def task_output_stdout(self, value):
assert value in ('none', 'json', 'console', 'all')
self._task_output_stdout = value
def add_default_tag(self, tag):
"""Adds a tag to the Swarming tasks triggered.
Tags are used for maintenance, they can be used to calculate the number of
tasks run for a day to calculate the cost of a type of type (CQ, ASAN, etc).
Tags can be added per individual task.
"""
assert ':' in tag, tag
self._default_tags.add(tag)
@property
def show_outputs_ref_in_collect_step(self):
"""Show the shard's isolated out link in each collect step."""
return self._show_outputs_ref_in_collect_step
@show_outputs_ref_in_collect_step.setter
def show_outputs_ref_in_collect_step(self, value):
self._show_outputs_ref_in_collect_step = value
@property
def show_shards_in_collect_step(self):
"""Show the shard link in each collect step."""
return self._show_shards_in_collect_step
@show_shards_in_collect_step.setter
def show_shards_in_collect_step(self, value):
self._show_shards_in_collect_step = value
@staticmethod
def prefered_os_dimension(platform):
"""Given a platform name returns the prefered Swarming OS dimension.
Platform name is usually provided by 'platform' recipe module, it's one
of 'win', 'linux', 'mac'. This function returns more concrete Swarming OS
dimension that represent this platform on Swarming by default.
Recipes are free to use other OS dimension if there's a need for it. For
example WinXP try bot recipe may explicitly specify 'Windows-XP-SP3'
dimension.
"""
return {
'linux': 'Ubuntu-14.04',
'mac': 'Mac-10.13',
'win': 'Windows-7-SP1',
}[platform]
def task(self, title, isolated_hash, ignore_task_failure=False, shards=1,
shard_indices=None, task_output_dir=None, extra_args=None,
idempotent=None, cipd_packages=None, build_properties=None,
builder_name=None, build_number=None,
merge=None, trigger_script=None, named_caches=None,
service_account=None, raw_cmd=None, env_prefixes=None, env=None,
optional_dimensions=None):
"""Returns a new SwarmingTask instance to run an isolated executable on
Swarming.
For google test executables, use gtest_task() instead.
At the time of this writting, this code is used by V8, Skia and iOS.
The return value can be customized if necessary (see SwarmingTask class
below). Pass it to 'trigger_task' to launch it on swarming. Later pass the
same instance to 'collect_task' to wait for the task to finish and fetch its
results.
Args:
* title: name of the test, used as part of a task ID.
* isolated_hash: hash of isolated test on isolate server, the test should
be already isolated there, see 'isolate' recipe module.
* ignore_task_failure: whether to ignore the test failure of swarming
tasks. By default, this is set to False.
* shards: if defined, the number of shards to use for the task. By default
this value is either 1 or based on the title.
* shard_indices: Which shards to run. If None, all shards are run.
* task_output_dir: if defined, the directory where task results are
placed. The caller is responsible for removing this folder when
finished.
* extra_args: list of command line arguments to pass to isolated tasks.
* idempotent: whether this task is considered idempotent. Defaults
to self.default_idempotent if not specified.
* cipd_packages: list of 3-tuples corresponding to CIPD packages needed
for the task: ('path', 'package_name', 'version'), defined as
follows:
* path: Path relative to the Swarming root dir in which to install
the package.
* package_name: Name of the package to install,
eg. "infra/tools/luci-auth/${platform}"
* version: Version of the package, either a package instance ID,
ref, or tag key/value pair.
* build_properties: An optional dict containing various build properties.
These are typically but not necessarily the properties emitted by
bot_update.
* builder_name: An optional builder name. Defaults to builder name passed
by buildbucket or to the recipe property (in that order).
* build_number: An optional build number. Defaults to build number passed
by buildbucket or to the recipe property (in that order).
* merge: An optional dict containing:
* "script": path to a script to call to post process and merge the
collected outputs from the tasks. The script should take one
named (but required) parameter, '-o' (for output), that represents
the path that the merged results should be written to, and accept
N additional paths to result files to merge. The merged results
should be in the JSON Results File Format
(https://www.chromium.org/developers/the-json-test-results-format)
and may optionally contain a top level "links" field that
may contain a dict mapping link text to URLs, for a set of
links that will be included in the buildbot output.
* "args": an optional list of additional arguments to pass to the
above script.
* trigger_script: An optional dict containing:
* "script": path to a script to call which will use custom logic to
trigger appropriate swarming jobs, using swarming.py.
* "args": an optional list of additional arguments to pass to the
script.
See SwarmingTask.__init__ docstring for more details.
* named_caches: a dict {name: relpath} requesting a cache named `name`
to be installed in `relpath` relative to the task root directory.
* service_account: (string) a service account email to run the task under.
* raw_cmd: Optional list of arguments to be used as raw command. Can be
used instead of extra args.
* env_prefixes: a dict {ENVVAR: [relative, paths]} which instructs
swarming to prepend the given relative paths to the PATH-style ENVVAR
specified.
* env: a dict {ENVVAR: ENVVALUE} which instructs swarming to set the
environment variables before invoking the command. These are applied
on top of the default environment variables.
* optional_dimensions: {expiration: [{key: value]} mapping with swarming
dimensions that specify on what Swarming slaves tasks can run. These
are similar to what is specified in dimensions but will create
additional 'fallback' task slice(s) with the optional dimensions.
"""
if idempotent is None:
idempotent = self.default_idempotent
spec_name = ''
builder_id = self.m.buildbucket.build.builder
if builder_id.bucket and builder_id.project:
spec_name = '%s.%s:%s' % (
builder_id.project, builder_id.bucket, builder_id.builder)
init_env = dict(self.default_env)
if env:
init_env.update(env)
builder_name = (builder_name or self.m.buildbucket.builder_name
or self.m.properties.get('buildername'))
build_number = (build_number or self.m.buildbucket.build.number
or self.m.properties.get('buildnumber'))
if shard_indices is None:
shard_indices = range(shards)
return SwarmingTask(
title=title,
isolated_hash=isolated_hash,
dimensions=self._default_dimensions,
env=init_env,
priority=self.default_priority,
shards=shards,
shard_indices=shard_indices,
spec_name=spec_name,
buildername=builder_name,
buildnumber=build_number,
user=self.default_user,
expiration=self.default_expiration,
io_timeout=self.default_io_timeout,
hard_timeout=self.default_hard_timeout,
idempotent=idempotent,
ignore_task_failure=ignore_task_failure,
extra_args=extra_args,
collect_step=self._default_collect_step,
task_output_dir=task_output_dir,
cipd_packages=cipd_packages or [],
build_properties=build_properties,
merge=merge,
trigger_script=trigger_script,
named_caches=named_caches,
service_account=service_account,
raw_cmd=raw_cmd,
env_prefixes=env_prefixes,
optional_dimensions=optional_dimensions,
)
def gtest_task(self, title, isolated_hash, test_launcher_summary_output=None,
extra_args=None, cipd_packages=None, merge=None, **kwargs):
"""Returns a new SwarmingTask instance to run an isolated gtest on Swarming.
Swarming recipe module knows how collect and interpret JSON files with test
execution summary produced by chromium test launcher. It will combine JSON
results from multiple shards and place it in path provided by
|test_launcher_summary_output| placeholder.
For meaning of the rest of the arguments see 'task' method.
"""
extra_args = list(extra_args or [])
# Ensure --test-launcher-summary-output is not already passed. We are going
# to overwrite it.
bad_args = any(
x.startswith('--test-launcher-summary-output=') for x in extra_args)
if bad_args: # pragma: no cover
raise ValueError('--test-launcher-summary-output should not be used.')
# Append it. output.json name is expected by collect_task.py.
extra_args.append(
'--test-launcher-summary-output=${ISOLATED_OUTDIR}/output.json')
merge = merge or {'script': self.resource('standard_gtest_merge.py')}
# Make a task, configure it to be collected through shim script.
task = self.task(title, isolated_hash, extra_args=extra_args,
cipd_packages=cipd_packages, merge=merge, **kwargs)
task.collect_step = lambda *args, **kw: (
self._gtest_collect_step(test_launcher_summary_output, *args, **kw))
return task
def _check_and_set_output_flag(self, extra_args, flag, output_file_name):
extra_args = list(extra_args or [])
# Ensure flag is not already passed. We are going to overwrite it.
flag_value = '--%s=' % flag
bad_args = any(x.startswith(flag_value) for x in extra_args)
if bad_args: # pragma: no cover
raise ValueError('--%s should not be used' % flag)
# Append it.
output_arg = '--%s=${ISOLATED_OUTDIR}/%s' % (flag, output_file_name)
extra_args.append(output_arg)
return extra_args
def isolated_script_task(self, title, isolated_hash, extra_args=None,
idempotent=False, merge=None, **kwargs):
"""Returns a new SwarmingTask to run an isolated script test on Swarming.
At the time of this writting, this code is used by WebRTC and
"isolated_scripts" entries in Chromium's src/testing/buildbot/*.json.
Swarming recipe module knows how collect JSON file with test execution
summary produced by isolated script tests launcher. A custom script
can be passed to merge the collected results and post-process them.
For meaning of the rest of the arguments see 'task' method.
"""
# Ensure output flags are not already passed. We are going
# to overwrite them.
# output.json name is expected by collect_task.py.
extra_args = self._check_and_set_output_flag(
extra_args, 'isolated-script-test-output', 'output.json')
# perftest-output.json name is expected by benchmarks generating chartjson
# or histogram output
extra_args = self._check_and_set_output_flag(
extra_args,
'isolated-script-test-perf-output',
'perftest-output.json')
merge = merge or {
'script': self.resource('standard_isolated_script_merge.py')
}
task = self.task(title, isolated_hash, extra_args=extra_args,
idempotent=idempotent, merge=merge, **kwargs)
task.collect_step = self._isolated_script_collect_step
return task
def check_client_version(self, step_test_data=None):
"""Yields steps to verify compatibility with swarming_client version."""
return self.m.swarming_client.ensure_script_version(
'swarming.py', MINIMAL_SWARMING_VERSION, step_test_data)
def trigger_task(self, task, **kwargs):
"""Triggers one task.
It the task is sharded, will trigger all shards. This steps justs posts
the task and immediately returns. Use 'collect_task' to wait for a task to
finish and grab its result.
Returns a list of StepResults, one for each shard triggered. Raises
StepFailure if any shard fails to trigger. Subsequent shards are not
triggered.
Args:
task: SwarmingTask instance.
kwargs: passed to recipe step constructor as-is.
Returns:
A list of StepResults, one for each shard triggered.
"""
assert isinstance(task, SwarmingTask)
assert task.task_name not in self._pending_tasks, (
'Triggered same task twice: %s' % task.task_name)
assert 'os' in task.dimensions, task.dimensions
# There is a single pending task, regardless of how many shards get
# triggered.
self._pending_tasks.add(task.task_name)
step_results = []
base_task_name = None
tasks = {}
for shard_index in task.shard_indices:
step_result, json_output = (
self.trigger_task_shard(task, shard_index, **kwargs))
step_results.append(step_result)
# Merge the JSON outputs. There should be two fields: base_task_name,
# which should be identical from all outputs. And tasks, a dictionary of
# dictionaries. Each of the keys in tasks should be unique.
new_base_task_name = json_output['base_task_name']
if (base_task_name and base_task_name
!= new_base_task_name): # pragma: no cover
raise recipe_api.StepFailure(
'Triggered shards for a single swarming task had different base '
'names: {} and {}'.format(base_task_name, new_base_task_name),
result=step_result)
base_task_name = new_base_task_name
for key,value in json_output['tasks'].iteritems():
tasks[key] = value
if len(tasks) != len(task.shard_indices): # pragma: no cover
raise recipe_api.StepFailure(
'Wrong number of triggered tasks. Expected: {}. Actual: {}.'.format(
len(task.shard_indices), len(tasks)), result=step_result)
trigger_output = {
'base_task_name' : base_task_name,
'tasks' : tasks
}
task._trigger_output = trigger_output
return step_results
def trigger_task_shard(self, task, shard_index, **kwargs):
"""Triggers a single shard for a task.
Returns: (step_result, json_output)
step_result: The step representing the triggered shard.
json_output: The JSON output of the triggered shard.
Raises:
InfraFailure if shard cannot be triggered.
"""
# Mix in standard infra packages 'vpython' and 'logdog' so that the task can
# always access them on $PATH.
cipd_packages = list(task.cipd_packages or ())
for pkg in cipd_packages:
assert not pkg[0].startswith(IMPLIED_BINARY_PATH), \
'cipd_packages may not be installed to %r' % (IMPLIED_BINARY_PATH,)
to_add = dict(IMPLIED_CIPD_BINARIES)
# HACK(crbug.com/812693) - we don't support cpython on arm yet, so remove
# it from packages to inject.
# HACK(crbug.com/842234): We also don't support CPython on mips.
cpu_dimension = task.dimensions.get('cpu', '')
if 'arm' in cpu_dimension or 'mips' in cpu_dimension:
for k in to_add.keys():
if 'cpython' in k:
to_add.pop(k)
path_env_prefix = set()
for pkg, (subdir, vers) in sorted(to_add.items()):
path_env_prefix.add('/'.join((IMPLIED_BINARY_PATH, subdir)) if subdir
else IMPLIED_BINARY_PATH)
vers = 'TEST_VERSION' if self._test_data.enabled else vers
cipd_packages.append((IMPLIED_BINARY_PATH, pkg, vers))
# update implied caches
named_caches = dict(task.named_caches or {})
named_caches.update({
'_'.join((IMPLIED_CACHE_NAME, k)): '/'.join((IMPLIED_CACHE_BASE,v))
for k, v in IMPLIED_CACHES.iteritems()
})
# update $PATH
env_prefixes = dict(task.env_prefixes or {}) # copy it
env_prefixes.setdefault('PATH', [])[:0] = sorted( # prepend stuff
path_env_prefix, key=lambda x: (len(x), x))
for k, path in IMPLIED_ENV_PREFIXES.iteritems():
env_prefixes.setdefault(k, [path])
# Trigger parameters.
args = [
'trigger',
'--swarming', self.swarming_server,
'--isolate-server', self.m.isolate.isolate_server,
'--priority', str(task.priority),
]
if task.shards == 1:
# TODO(erikchen): Remove this placeholder logic. It should have no
# functional effect, it's just there to make expectation diffs easier to
# review.
args += ['--shards', str(task.shards)]
else:
# We must use different logic for swarming.py vs. custom trigger script.
if task.trigger_script:
args += ['--shard-index', str(shard_index)]
args += ['--shards', str(task.shards)]
else:
args += ['--env', 'GTEST_SHARD_INDEX', str(shard_index)]
args += ['--env', 'GTEST_TOTAL_SHARDS', str(task.shards)]
# More trigger parameters.
args += [
'--task-name', task.task_name,
'--dump-json', self.m.json.output(),
'--expiration', str(task.expiration),
'--io-timeout', str(task.io_timeout),
'--hard-timeout', str(task.hard_timeout),
]
for name, value in sorted(task.dimensions.iteritems()):
assert isinstance(value, basestring), \
'dimension %s is not a string: %s' % (name, value)
args.extend(['--dimension', name, value])
if task.optional_dimensions:
for exp, dimensions in task.optional_dimensions.iteritems():
for d in dimensions:
for name, value in d.iteritems():
assert isinstance(value, basestring), \
'optional-dimension %s is not a string: %s' % (name, value)
args.extend(['--optional-dimension', name, value, exp])
for name, value in sorted(task.env.iteritems()):
assert isinstance(value, basestring), \
'env var %s is not a string: %s' % (name, value)
args.extend(['--env', name, value])
for name, relpath in sorted(named_caches.iteritems()):
args.extend(['--named-cache', name, relpath])
if task.service_account:
args.extend(['--service-account', task.service_account])
if self.service_account_json:
args.extend(['--auth-service-account-json', self.service_account_json])
if task.wait_for_capacity:
args.append('--wait-for-capacity')
# Default tags.
tags = set(task.tags)
tags.update(self._default_tags)
tags.add('data:' + task.isolated_hash)
tags.add('name:' + task.title.split(' ')[0])
mastername = self.m.properties.get('mastername')
if mastername:
tags.add('master:' + mastername)
if task.spec_name:
tags.add('spec_name:' + task.spec_name)
if task.buildername:
tags.add('buildername:' + task.buildername)
if task.buildnumber:
tags.add('buildnumber:%s' % task.buildnumber)
if self.m.properties.get('bot_id'):
tags.add('slavename:%s' % self.m.properties['bot_id'])
tags.add('stepname:%s' % self.get_step_name('', task))
for cl in self.m.buildbucket.build.input.gerrit_changes:
tags.add('gerrit:https://%s/c/%s/%s' % (cl.host, cl.change, cl.patchset))
for tag in sorted(tags):
assert ':' in tag, tag
args.extend(['--tag', tag])
if self.verbose:
args.append('--verbose')
if task.idempotent:
args.append('--idempotent')
if task.user:
args.extend(['--user', task.user])
if cipd_packages:
for path, pkg, version in cipd_packages:
args.extend(['--cipd-package', '%s:%s:%s' % (path, pkg, version)])
if env_prefixes:
for key, paths in sorted(env_prefixes.items()):
for path in paths:
args.extend(('--env-prefix', key, path))
# What isolated command to trigger.
args.extend(('--isolated', task.isolated_hash))
# Use a raw command as extra-args on tasks without command.
if task.raw_cmd:
# Allow using only one of raw_cmd or extra_args.
assert not task.extra_args
args.append('--raw-cmd')
# Additional command line args for isolated command.
if task.extra_args or task.raw_cmd:
args.append('--')
args.extend(task.extra_args or task.raw_cmd)
script = self.m.swarming_client.path.join('swarming.py')
if task.trigger_script:
script = task.trigger_script['script']
if task.trigger_script.get('args'):
args = task.trigger_script['args'] + args
# The step can fail only on infra failures, so mark it as 'infra_step'.
step_result = self.m.python(
name=self.get_step_name('trigger', task),
script=script, args=args,
step_test_data=functools.partial(
self._gen_trigger_step_test_data, task, shard_index),
infra_step=True,
**kwargs)
step_result.presentation.step_text += text_for_task(task)
assert not hasattr(step_result, 'swarming_task')
step_result.swarming_task = task
# While it might make more sense to update all presentation links in
# trigger_task(), this is currently not possible. Steps are run in series,
# and once a step is finalized, it becomes immutable.
# Update the presentation links now that _trigger_output has been generated.
if step_result.presentation != self.m.step.FAILURE:
links = step_result.presentation.links
url = task.get_shard_view_url(shard_index, step_result.json.output)
if url:
links['shard #%d' % shard_index] = url
return step_result, step_result.json.output
def collect_task(self, task, **kwargs):
"""Waits for a single triggered task to finish.
If the task is sharded, will wait for all shards to finish. Behaves as
a regular recipe step: returns StepData with step results on success or
raises StepFailure if task fails.
Args:
task: SwarmingTask instance, previously triggered with 'trigger' method.
kwargs: passed to recipe step constructor as-is.
"""
# TODO(vadimsh): Raise InfraFailure on Swarming failures.
assert isinstance(task, SwarmingTask)
assert task.task_name in self._pending_tasks, (
'Trying to collect a task that was not triggered: %s' %
task.task_name)
self._pending_tasks.remove(task.task_name)
try:
return task.collect_step(task, **kwargs)
finally:
try:
self.m.step.active_result.swarming_task = task
except Exception: # pragma: no cover
# If we don't have an active_result, something failed very early,
# so we eat this exception and let that one propagate.
pass
def report_stats(self):
"""Report statistics on all tasks ran so far."""
if not self._shards_durations:
return
stats = ['Total shards: %d' % len(self._shards_durations)]
total = sum(self._shards_durations)
mean = total / len(self._shards_durations)
stats.extend([
'Total runtime: %s ' % fmt_time(total),
])
detailed_stats = stats + [
'Min/mean/max: %s / %s / %s' % (
fmt_time(min(self._shards_durations)),
fmt_time(mean),
fmt_time(max(self._shards_durations)),
),
]
step_text = self.m.test_utils.format_step_text([
('Stats', stats)])
result = self.m.python.succeeding_step('Tests statistics', step_text)
result.presentation.logs['detailed stats'] = detailed_stats
@staticmethod
def _display_pending(shards, step_presentation):
"""Shows max pending time in seconds across all shards if it exceeds 10s,
and also displays the min and max shard duration accross all shards."""
max_pending = (-1, None)
max_duration = (-1, None)
min_duration = (None, None)
for i, shard in enumerate(shards):
if not shard or not shard.get('started_ts'):
continue
created = parse_time(shard['created_ts'])
started = parse_time(shard['started_ts'])
pending = (started - created).total_seconds()
if pending > max_pending[0]:
max_pending = (pending, i)
if shard.get('completed_ts'):
duration = (parse_time(shard['completed_ts']) - started).total_seconds()
if duration > max_duration[0]:
max_duration = (duration, i)
if min_duration[0] is None or duration < min_duration[0]:
min_duration = (duration, i)
# Only display annotation when pending more than 10 seconds to reduce noise.
if max_pending[0] > 10:
prefix = 'P' if len(shards) <= 1 else 'Max p'
suffix = '' if len(shards) <= 1 else ' (shard #%d)' % max_pending[1]
step_presentation.step_text += (
'<br>%sending time: %s%s' % (prefix, fmt_time(max_pending[0]), suffix))
if max_duration[0] > 0:
prefix = 'S' if len(shards) <= 1 else 'Max s'
suffix = '' if len(shards) <= 1 else ' (shard #%d)' % max_duration[1]
step_presentation.step_text += (
'<br>%shard duration: %s%s' % (
prefix, fmt_time(max_duration[0]), suffix))
if min_duration[0] is not None and len(shards) > 1:
step_presentation.step_text += (
'<br>Min shard duration: %s (shard #%d)' % (
fmt_time(min_duration[0]), min_duration[1]))
def _default_collect_step(
self, task, merged_test_output=None, name=None, step_test_data=None,
**kwargs):
"""Produces a step that collects a result of an arbitrary task."""
task_output_dir = task.task_output_dir or self.m.raw_io.output_dir()
# If we don't already have a Placeholder, wrap the task_output_dir in one
# so we can read out of it later w/ step_result.raw_io.output_dir.
if not isinstance(task_output_dir, recipe_util.Placeholder):
task_output_dir = self.m.raw_io.output_dir(leak_to=task_output_dir)
task_args = [
'--verbose',
'-o', merged_test_output or self.m.json.output(),
'--task-output-dir', task_output_dir,
]
merge_script = (task.merge.get('script')
or self.resource('noop_merge.py'))
merge_args = (task.merge.get('args') or [])
task_args.extend([
'--merge-script', merge_script,
'--merge-script-stdout-file',
self.m.raw_io.output('merge_script_log'),
'--merge-additional-args', self.m.json.dumps(merge_args),
])
if task.build_properties:
properties = dict(task.build_properties)
# exclude any recipe-engine-controlling properties (starting with $)
properties.update((k, v) for k, v in self.m.properties.thaw().iteritems()
if not k.startswith('$'))
task_args.extend([
'--build-properties', self.m.json.dumps(properties),
])
# Arguments for the actual 'collect' command.
collect_cmd = [
'swarming',
]
# go's client does not generate summary file under output dir.
# Need to tell the location of summary file to collect_task.py.
task_args.extend(['--summary-json-file', self.summary()])
collect_cmd.extend(self.get_collect_cmd_args(task))
task_args.append('--')
task_args.extend(collect_cmd)
allowed_return_codes = {0}
if task.ignore_task_failure:
allowed_return_codes = 'any'
# The call to collect_task emits two JSON files and one text file:
# 1) a task summary JSON emitted by swarming
# 2) a gtest results JSON emitted by the task
# 3) a merge script stdout/stderr log emitted by the task
# This builds an instance of StepTestData that covers all of them.
step_test_data = step_test_data or (
self.test_api.canned_summary_output(task.shards, task.shard_indices) +
self.m.json.test_api.output({}) +
self.m.raw_io.test_api.output(
'Successfully merged all data'))
try:
with self.m.swarming_client.on_path():
with self.m.context(cwd=self.m.path['start_dir']):
return self.m.build.python(
name=name or self.get_step_name('', task),
script=self.resource('collect_task.py'),
args=task_args,
ok_ret=allowed_return_codes,
step_test_data=lambda: step_test_data,
**kwargs)
finally:
step_result = None
try:
step_result = self.m.step.active_result
if step_result is not None:
step_result.presentation.step_text = text_for_task(task)
step_result.presentation.logs['Merge script log'] = [
step_result.raw_io.output]
links = {}
if hasattr(step_result, 'json') and hasattr(
step_result.json, 'output'):
links = step_result.json.output.get('links', {})
elif (hasattr(step_result, 'test_utils') and
hasattr(step_result.test_utils, 'gtest_results')):
links = step_result.test_utils.gtest_results.raw.get('links', {})
for k, v in links.iteritems():
step_result.presentation.links[k] = v
summary_json = step_result.swarming.summary
self._handle_summary_json(task, summary_json, step_result)
except self.m.step.StepFailure:
# Make sure that, if _handle_summary_json raises an StepFailure, it
# correctly propogates.
raise
except Exception as e:
if step_result is not None:
step_result.presentation.logs['no_results_exc'] = [
str(e), '\n', self.m.traceback.format_exc()]
def _check_for_missing_shard(self, merged_results_json, active_step, task):
if merged_results_json:
missing_shards = merged_results_json.get('missing_shards') or []
if missing_shards:
active_step.presentation.status = self.m.step.EXCEPTION
for index in missing_shards:
active_step.presentation.links['missing shard #%d' % index] = \
task.get_shard_view_url(index)
def _gtest_collect_step(self, merged_test_output, task, **kwargs):
"""Produces a step that collects and processes a result of google-test task.
"""
# Where to put combined summary to, consumed by recipes. Also emit
# test expectation only if |merged_test_output| is really used.
gtest_results_test_data = kwargs.pop('step_test_data', None)
if merged_test_output and not gtest_results_test_data:
gtest_results_test_data = (
self.m.test_utils.test_api.canned_gtest_output(True))
# The call to collect_task emits two JSON files and a test file:
# 1) a task summary JSON emitted by swarming
# 2) a gtest results JSON emitted by the task
# 3) a log file that stores stdout/stderr of task
# This builds an instance of StepTestData that covers all three.
step_test_data = (
self.test_api.canned_summary_output(task.shards, task.shard_indices) +
gtest_results_test_data +
self.test_api.merge_script_log_file('Gtest merged successfully'))
try:
return self._default_collect_step(
task,
merged_test_output=merged_test_output,
step_test_data=step_test_data,
allow_subannotations=True,
**kwargs)
finally:
# HACK: it is assumed that caller used 'api.test_utils.gtest_results'
# placeholder for 'test_launcher_summary_output' parameter when calling
# gtest_task(...). It's not enforced in any way.
step_result = self.m.step.active_result
gtest_results = self.m.test_utils.present_gtest_failures(step_result)
if gtest_results and gtest_results.valid:
self._check_for_missing_shard(gtest_results.raw, step_result, task)
swarming_summary = step_result.swarming.summary
# Show any remaining isolated outputs (such as logcats).
# Note that collect_task.py uses the default summary.json, which
# only has 'outputs_ref' instead of the deprecated 'isolated_out'.
for index, shard in enumerate(swarming_summary.get('shards', [])):
if not shard:
continue
outputs_ref = shard.get('outputs_ref')
if outputs_ref:
link_name = 'shard #%d isolated out' % index
p = step_result.presentation
p.links[link_name] = '%s/browse?namespace=%s&hash=%s' % (
outputs_ref['isolatedserver'], outputs_ref['namespace'],
outputs_ref['isolated'])
def _merge_isolated_script_perftest_output_shards(self, task, step_result):
# Taken from third_party/catapult/telemetry/telemetry/internal/results/
# chart_json_output_formatter.py, the json entries are as follows:
# result_dict = {
# 'format_version': '0.1',
# 'next_version': '0.2',
# 'benchmark_name': benchmark_metadata.name,
# 'benchmark_description': benchmark_metadata.description,
# 'trace_rerun_options': benchmark_metadata.rerun_options,
# 'benchmark_metadata': benchmark_metadata.AsDict(),
# 'charts': charts,
# }
#
# Therefore, all entries should be the same and we should only need to merge
# the chart from each shard.
collected_results = []
for i in task.shard_indices:
path = self.m.path.join(str(i), 'perftest-output.json')
if path not in step_result.raw_io.output_dir:
# perf test results were not written for this shard, not an error,
# just continue to the next shard
continue
results_raw = step_result.raw_io.output_dir[path]
try:
perf_results_json = self.m.json.loads(results_raw)
except Exception as e:
raise Exception(
'error decoding chart JSON results from shard #%d\n%s\n%s' % (
i,
str(e),
self.m.traceback.format_exc()))
collected_results.append(perf_results_json)
if collected_results:
# If the first result is a dict, we assume that we're dealing with
# chart JSON. By contrast, HistogramSets are serialized as lists.
if isinstance(collected_results[0], dict):
return self._merge_chartjson_results(collected_results), False
elif isinstance(collected_results[0], list):
return self._merge_histogram_results(collected_results), True
return {}, False
def _merge_chartjson_results(self, chartjson_dicts):
merged_results = chartjson_dicts[0]
for chartjson_dict in chartjson_dicts[1:]:
for key in chartjson_dict:
if key == 'charts':
for add_key in chartjson_dict[key]:
merged_results[key][add_key] = chartjson_dict[key][add_key]
return merged_results
def _merge_histogram_results(self, histogram_lists):
merged_results = []
for histogram_list in histogram_lists:
merged_results += histogram_list
return merged_results
def wait_for_finished_task_set(self, task_sets, suffix=None, attempts=0):
"""Waits for a finished set of tasks.
Args:
task_sets: A list of lists. Each item in task_sets is a set of tasks,
which should be collected together.
suffix: An optional name suffix.
attempts: How many times have we polled swarming for this data. Used
to retry at a slower rate, so we don't overload the server
with requests.
Returns:
A tuple of two items:
1. A list of task sets which have finished.
2. How many attempts we've now made to get task data.
Uses the 'get_states' endpoint on the swarming server."""
args = [
'--swarming-server', self.swarming_server,
'--swarming-py-path', self.m.swarming_client.path.join('swarming.py'),
'--output-json', self.m.json.output(),
'--input-json', self.m.json.input(data=task_sets),
'--attempts', attempts,
'--verbose',
]
if self.service_account_json:
args.extend(['--auth-service-account-json', self.service_account_json])
result = self.m.python(
'wait for tasks%s' % (suffix or ''),
self.resource('wait_for_finished_task_set.py'),
step_test_data=lambda: self.m.json.test_api.output(data={
'attempts': 0,
'sets': task_sets,
}),
args=args)
return [
tuple(task_set) for task_set in result.json.output['sets']
], result.json.output['attempts']
def _isolated_script_collect_step(self, task, **kwargs):
"""Collects results for a step that is *not* a googletest, like telemetry.
"""
isolated_script_results_test_data = kwargs.pop('step_test_data', None)
if not isolated_script_results_test_data:
isolated_script_results_test_data = (
self.m.test_utils.test_api.canned_isolated_script_output(
passing=True, is_win=self.m.platform.is_win, swarming=True,
use_json_test_format=True, shards=task.shards,
shard_indices=task.shard_indices))
# The call to collect_isolated_script_task emits two JSON files:
# 1) a task summary JSON emitted by swarming
# 2) a test results JSON emitted by the task
# This builds an instance of StepTestData that covers both.
step_test_data = (
self.test_api.canned_summary_output(task.shards, task.shard_indices) +
isolated_script_results_test_data +
self.test_api.merge_script_log_file('Merged succesfully'))
try:
return self._default_collect_step(
task, step_test_data=step_test_data, **kwargs)
finally:
# Regardless of the outcome of the test (pass or fail), we try to parse
# the results. If any error occurs while parsing results, then we set them
# to None, which caller should treat as invalid results.
# Note that try-except block below will not mask the
# recipe_api.StepFailure exception from the collect step above. Instead
# it is being allowed to propagate after the results have been parsed.
try:
step_result = self.m.step.active_result
if step_result is not None:
outdir = filter_outdir(
self.m.json.dumps, step_result.raw_io.output_dir)
outdir_json = self.m.json.dumps(outdir, indent=2)
step_result.presentation.logs['outdir_json'] = (
outdir_json.splitlines())
step_result.isolated_script_results = step_result.json.output
self._check_for_missing_shard(
step_result.isolated_script_results, step_result, task)
# Obtain perftest results if present
perftest_results, is_histogramset = \
self._merge_isolated_script_perftest_output_shards(
task, step_result)
step_result.isolated_script_perf_results = {
'is_histogramset': is_histogramset,
'data': perftest_results
}
except Exception as e:
if self.m.step.active_result is not None:
self.m.step.active_result.presentation.logs[
'no_isolated_results_exc'] = [
str(e), '\n', self.m.traceback.format_exc()]
self.m.step.active_result.isolated_script_results = None
def get_step_name(self, prefix, task):
"""SwarmingTask -> name of a step of a waterfall.
Will take a task title (+ step name prefix) and append OS dimension to it.
Args:
prefix: prefix to append to task title, like 'trigger'.
task: SwarmingTask instance.
Returns:
'[<prefix>] <task title> on <OS>'
"""
prefix = '[%s] ' % prefix if prefix else ''
task_os = task.dimensions['os']
bot_os = self.prefered_os_dimension(self.m.platform.name)
suffix = ('' if (
task_os == bot_os or task_os.lower() == self.m.platform.name.lower() or
task_os in task.title)
else ' on %s' % task_os)
# Note: properly detecting dimensions of the bot the recipe is running
# on is somewhat non-trivial. It is not safe to assume it uses default
# or preferred dimensions for its OS. For example, the version of the OS
# can differ.
return ''.join((prefix, task.title, suffix))
def _handle_summary_json(self, task, summary, step_result):
# We store this now, and add links to all shards first, before failing the
# build. Format is tuple of (error message, shard that failed)
infra_failures = []
exist_failure = False
links = step_result.presentation.links
for index, shard in enumerate(summary['shards']):
url = task.get_shard_view_url(index)
duration = shard and shard.get('duration')
if duration is not None:
display_text = 'shard #%d (%.1f sec)' % (index, duration)
self._shards_durations.append(duration)
else:
display_text = 'shard #%d' % index
if shard and shard.get('deduped_from'):
display_text += ' (deduped)'
if not shard or shard.get('internal_failure'):
display_text = (
'shard #%d had an internal swarming failure' % index)
infra_failures.append((index, 'Internal swarming failure'))
exist_failure = True
elif shard.get('state') == 'EXPIRED':
display_text = (
'shard #%d expired, not enough capacity' % index)
infra_failures.append((
index, 'There isn\'t enough capacity to run your test'))
exist_failure = True
elif shard.get('state') == 'TIMED_OUT':
if duration is not None:
display_text = (
'shard #%d timed out after %.1f sec' % (index, duration))
else: # pragma: no cover
# TODO(tikuta): Add coverage for this code.
display_text = (
'shard #%d timed out, took too much time to complete' % index)
exist_failure = True
elif self._get_exit_code(shard) != 0:
# TODO(bpastene): Add coverage for this code.
if duration is not None: # pragma: no cover
display_text = 'shard #%d (failed) (%.1f sec)' % (index, duration)
else:
display_text = 'shard #%d (failed)' % index
exist_failure = True
if shard and self.show_outputs_ref_in_collect_step:
outputs_ref = shard.get('outputs_ref')
if outputs_ref:
link_name = 'shard #%d isolated out' % index
links[link_name] = '%s/browse?namespace=%s&hash=%s' % (
outputs_ref['isolatedserver'], outputs_ref['namespace'],
outputs_ref['isolated'])
if url and self.show_shards_in_collect_step:
links[display_text] = url
self._display_pending(summary.get('shards', []), step_result.presentation)
if infra_failures:
template = 'Shard #%s failed: %s'
step_result.presentation.status = self.m.step.EXCEPTION
raise recipe_api.StepFailure(
'\n'.join(template % f for f in infra_failures), result=step_result)
if exist_failure:
step_result.presentation.status = self.m.step.FAILURE
raise recipe_api.StepFailure('There are failed tasks.',
result=step_result)
def get_collect_cmd_args(self, task):
"""
SwarmingTask -> argument list for go swarming command.
"""
args = [
'collect',
'-server', self.swarming_server,
# TODO(tikuta): Tuning this if necessary.
'-worker', 50,
'-task-summary-python',
'-task-output-stdout', self.task_output_stdout,
# This is necessary not to cause io timeout.
'-verbose',
]
args.extend(('-requests-json', self.m.json.input(task.trigger_output)))
if self.service_account_json:
args.extend(['-service-account-json', self.service_account_json])
return args
def _gen_trigger_step_test_data(self, task, shard_index):
"""Generates an expected value of --dump-json in 'trigger' step.
Used when running recipes to generate test expectations.
"""
# Suffixes of shard subtask names.
if task.shards == 1:
suffix = ''
else:
suffix = ':%d:%d' % (task.shards, shard_index)
self._task_test_data_id_offset += len(task.shard_indices)
tid = '1%02d00' % (
shard_index + 100*(
self._task_test_data_id_offset - len(task.shard_indices)))
return self.m.json.test_api.output({
'base_task_name': task.task_name,
'tasks': {
'%s%s' % (task.task_name, suffix): {
'task_id': tid,
'shard_index': shard_index,
'view_url': '%s/user/task/%s' % (self.swarming_server, tid),
}
},
})
class SwarmingTask(object):
"""Definition of a task to run on swarming."""
def __init__(self, title, isolated_hash, ignore_task_failure, dimensions,
env, priority, shards, shard_indices, spec_name, buildername,
buildnumber, expiration, user, io_timeout, hard_timeout,
idempotent, extra_args, collect_step, task_output_dir,
cipd_packages=None, build_properties=None, merge=None,
trigger_script=None, named_caches=None, service_account=None,
raw_cmd=None, env_prefixes=None, optional_dimensions=None):
"""Configuration of a swarming task.
Args:
* title: display name of the task, hints to what task is doing. Usually
corresponds to a name of a test executable. Doesn't have to be unique.
* isolated_hash: hash of isolated file that describes all files needed to
run the task as well as command line to launch. See 'isolate' recipe
module.
* ignore_task_failure: whether to ignore the test failure of swarming
tasks.
* cipd_packages: list of 3-tuples corresponding to CIPD packages needed
for the task: ('path', 'package_name', 'version'), defined as follows:
* path: Path relative to the Swarming root dir in which to install
the package.
* package_name: Name of the package to install,
eg. "infra/tools/luci-auth/${platform}"
* version: Version of the package, either a package instance ID,
ref, or tag key/value pair.
* collect_step: callback that will be called to collect and processes
results of task execution, signature is collect_step(task, **kwargs).
* dimensions: key-value mapping with swarming dimensions that specify
on what Swarming slaves task can run. One important dimension is 'os',
which defines platform flavor to run the task on. See Swarming doc.
* env: key-value mapping with additional environment variables to add to
environment before launching the task executable.
* priority: integer [0, 255] that defines how urgent the task is.
Lower value corresponds to higher priority. Swarming service executes
tasks with higher priority first.
* shards: how many concurrent shards to run, makes sense only for
isolated tests based on gtest. Swarming uses GTEST_SHARD_INDEX
and GTEST_TOTAL_SHARDS environment variables to tell the executable
what shard to run.
* shard_indices: Which shards to run.
* spec_name: task spec name. Used in monitoring.
* buildername: buildbot builder this task was triggered from.
* buildnumber: build number of a build this task was triggered from.
* expiration: number of schedule until the task shouldn't even be run if
it hadn't started yet.
* user: user that requested this task, if applicable.
* io_timeout: number of seconds that the task is allowed to not emit any
stdout bytes, after which it is forcibly killed.
* hard_timeout: number of seconds for which the task is allowed to run,
after which it is forcibly killed.
* idempotent: True if the results from a previous task can be reused. E.g.
this task has no side-effects.
* extra_args: list of command line arguments to pass to isolated tasks.
* task_output_dir: if defined, the directory where task results are placed
during the collect step.
* build_properties: An optional dict containing various build properties.
These are typically but not necessarily the properties emitted by
bot_update.
* merge: An optional dict containing:
* "script": path to a script to call to post process and merge the
collected outputs from the tasks.
* "args": an optional list of additional arguments to pass to the
above script.
* trigger_script: An optional dict containing:
* "script": path to a script to call which will use custom logic to
trigger appropriate swarming jobs, using swarming.py. Required.
* "args": an optional list of additional arguments to pass to the
script.
The script will receive the exact same arguments that are normally
passed to calls to `swarming.py trigger`, along with any arguments
provided in the "args" entry.
The script is required to output a json file to the location provided
by the --dump-json argument. This json file should describe the
swarming tasks it launched, as well as some information about the
request, which is used when swarming collects the tasks.
If the script launches multiple swarming shards, it needs to pass the
appropriate environment variables to each shard (this is normally done
by swarming.py trigger). Specifically, each shard should receive
GTEST_SHARD_INDEX, which is its shard index, and
GTEST_TOTAL_SHARDS, which is the total number of shards.
This can be done by passing `--env GTEST_SHARD_INDEX [NUM]` and
`--env GTEST_SHARD_SHARDS [NUM]` when calling swarming.py trigger.
* named_caches: a dict {name: relpath} requesting a cache named `name`
to be installed in `relpath` relative to the task root directory.
* service_account: (string) a service account email to run the task under.
* raw_cmd: Optional list of arguments to be used as raw command. Can be
used instead of extra args.
* env_prefixes: a dict {ENVVAR: [relative, paths]} which instructs
swarming to prepend the given relative paths to the PATH-style ENVVAR
specified.
* optional_dimensions: {expiration: [{key: value]} mapping with swarming
dimensions that specify on what Swarming slaves tasks can run. These
are similar to what is specified in dimensions but will create
additional 'fallback' task slice(s) with the optional dimensions.
"""
self._trigger_output = None
self.build_properties = build_properties
self.spec_name = spec_name
self.buildername = buildername
self.buildnumber = buildnumber
self.cipd_packages = cipd_packages
self.collect_step = collect_step
self.dimensions = dimensions.copy()
self.env = env.copy()
self.expiration = expiration
self.extra_args = tuple(extra_args or [])
self.hard_timeout = hard_timeout
self.idempotent = idempotent
self.ignore_task_failure = ignore_task_failure
self.io_timeout = io_timeout
self.isolated_hash = isolated_hash
self.merge = merge or {}
self.named_caches = named_caches or {}
self.service_account = service_account
self.trigger_script = trigger_script or {}
self.priority = priority
self.raw_cmd = tuple(raw_cmd or [])
self.shards = shards
self.shard_indices = shard_indices
self.tags = set()
self.task_output_dir = task_output_dir
self.title = title
self.user = user
self.env_prefixes = {
var: list(paths) for var, paths in (env_prefixes or {}).iteritems()}
if optional_dimensions:
self.optional_dimensions = optional_dimensions.copy()
else:
self.optional_dimensions = None
self.wait_for_capacity = False
@property
def task_name(self):
"""Name of this task, derived from its other properties.
The task name is purely to make sense of the task and is not used in any
other way.
"""
out = '%s/%s/%s' % (
self.title, self.dimensions['os'], self.isolated_hash[:10])
if self.buildername:
out += '/%s/%s' % (self.buildername, self.buildnumber or -1)
return out
@property
def trigger_output(self):
"""JSON results of 'trigger' step or None if not triggered."""
# JSON results of 'trigger' step converted for luci-go client.
# This is used for isolated script tasks.
tasks = sorted(self._trigger_output['tasks'].values(),
key=lambda x: x['shard_index'])
return {
'tasks': [{'task_id': task['task_id']} for task in tasks],
}
def get_task_shard_output_dirs(self):
"""Return the directory of each task shard outputs."""
tasks = sorted(self._trigger_output['tasks'].values(),
key=lambda x: x['shard_index'])
return [task['task_id'] for task in tasks]
def get_shard_view_url(self, index, trigger_output=None):
"""Returns URL of HTML page with shard details or None if not available.
Works only after the task has been successfully triggered.
Args:
index: The index of the triggered shard.
trigger_output: The JSON output of the triggered swarming task.
"""
if trigger_output is None:
trigger_output = self._trigger_output
if trigger_output and trigger_output.get('tasks'):
for shard_dict in trigger_output['tasks'].itervalues():
if shard_dict['shard_index'] == index:
return shard_dict['view_url']
def get_task_ids(self):
"""Returns task id of all shards.
Works only after the task has been successfully triggered.
"""
task_ids = []
if self._trigger_output and self._trigger_output.get('tasks'):
for shard_dict in self._trigger_output['tasks'].itervalues():
task_ids.append(shard_dict['task_id'])
return task_ids