blob: 3a07ec370f236a4d10e366f7d722131d410a83aa [file] [log] [blame]
# Copyright (c) 2012 The Chromium OS 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 difflib
import hashlib
import logging
import operator
import os
import re
import sys
import common
from autotest_lib.frontend.afe.json_rpc import proxy
from autotest_lib.client.common_lib import control_data
from autotest_lib.client.common_lib import enum
from autotest_lib.client.common_lib import error
from autotest_lib.client.common_lib import global_config
from autotest_lib.client.common_lib import priorities
from autotest_lib.client.common_lib import site_utils
from autotest_lib.client.common_lib import time_utils
from autotest_lib.client.common_lib import utils
from autotest_lib.frontend.afe.json_rpc import proxy
from autotest_lib.server.cros import provision
from autotest_lib.server.cros.dynamic_suite import constants
from autotest_lib.server.cros.dynamic_suite import control_file_getter
from autotest_lib.server.cros.dynamic_suite import frontend_wrappers
from autotest_lib.server.cros.dynamic_suite import job_status
from autotest_lib.server.cros.dynamic_suite import tools
from autotest_lib.server.cros.dynamic_suite.job_status import Status
try:
from chromite.lib import boolparse_lib
from chromite.lib import cros_logging as logging
except ImportError:
print 'Unable to import chromite.'
print 'This script must be either:'
print ' - Be run in the chroot.'
print ' - (not yet supported) be run after running '
print ' ../utils/build_externals.py'
_FILE_BUG_SUITES = ['au', 'bvt', 'bvt-cq', 'bvt-inline', 'paygen_au_beta',
'paygen_au_canary', 'paygen_au_dev', 'paygen_au_stable',
'sanity', 'push_to_prod']
_AUTOTEST_DIR = global_config.global_config.get_config_value(
'SCHEDULER', 'drone_installation_directory')
ENABLE_CONTROLS_IN_BATCH = global_config.global_config.get_config_value(
'CROS', 'enable_getting_controls_in_batch', type=bool, default=False)
class RetryHandler(object):
"""Maintain retry information.
@var _retry_map: A dictionary that stores retry history.
The key is afe job id. The value is a dictionary.
{job_id: {'state':RetryHandler.States, 'retry_max':int}}
- state:
The retry state of a job.
NOT_ATTEMPTED:
We haven't done anything about the job.
ATTEMPTED:
We've made an attempt to schedule a retry job. The
scheduling may or may not be successful, e.g.
it might encounter an rpc error. Note failure
in scheduling a retry is different from a retry job failure.
For each job, we only attempt to schedule a retry once.
For example, assume we have a test with JOB_RETRIES=5 and
its second retry job failed. When we attempt to create
a third retry job to retry the second, we hit an rpc
error. In such case, we will give up on all following
retries.
RETRIED:
A retry job has already been successfully
scheduled.
- retry_max:
The maximum of times the job can still
be retried, taking into account retries
that have occurred.
@var _retry_level: A retry might be triggered only if the result
is worse than the level.
@var _max_retries: Maximum retry limit at suite level.
Regardless how many times each individual test
has been retried, the total number of retries happening in
the suite can't exceed _max_retries.
"""
States = enum.Enum('NOT_ATTEMPTED', 'ATTEMPTED', 'RETRIED',
start_value=1, step=1)
def __init__(self, initial_jobs_to_tests, retry_level='WARN',
max_retries=None):
"""Initialize RetryHandler.
@param initial_jobs_to_tests: A dictionary that maps a job id to
a ControlData object. This dictionary should contain
jobs that are originally scheduled by the suite.
@param retry_level: A retry might be triggered only if the result is
worse than the level.
@param max_retries: Integer, maxmium total retries allowed
for the suite. Default to None, no max.
"""
self._retry_map = {}
self._retry_level = retry_level
self._max_retries = (max_retries
if max_retries is not None else sys.maxint)
for job_id, test in initial_jobs_to_tests.items():
if test.job_retries > 0:
self._add_job(new_job_id=job_id,
retry_max=test.job_retries)
def _add_job(self, new_job_id, retry_max):
"""Add a newly-created job to the retry map.
@param new_job_id: The afe_job_id of a newly created job.
@param retry_max: The maximum of times that we could retry
the test if the job fails.
@raises ValueError if new_job_id is already in retry map.
"""
if new_job_id in self._retry_map:
raise ValueError('add_job called when job is already in retry map.')
self._retry_map[new_job_id] = {
'state': self.States.NOT_ATTEMPTED,
'retry_max': retry_max}
def _suite_max_reached(self):
"""Return whether maximum retry limit for a suite has been reached."""
return self._max_retries <= 0
def add_retry(self, old_job_id, new_job_id):
"""Record a retry.
Update retry map with the retry information.
@param old_job_id: The afe_job_id of the job that is retried.
@param new_job_id: The afe_job_id of the retry job.
@raises KeyError if old_job_id isn't in the retry map.
@raises ValueError if we have already retried or made an attempt
to retry the old job.
"""
old_record = self._retry_map[old_job_id]
if old_record['state'] != self.States.NOT_ATTEMPTED:
raise ValueError(
'We have already retried or attempted to retry job %d' %
old_job_id)
old_record['state'] = self.States.RETRIED
self._add_job(new_job_id=new_job_id,
retry_max=old_record['retry_max'] - 1)
self._max_retries -= 1
def set_attempted(self, job_id):
"""Set the state of the job to ATTEMPTED.
@param job_id: afe_job_id of a job.
@raises KeyError if job_id isn't in the retry map.
@raises ValueError if the current state is not NOT_ATTEMPTED.
"""
current_state = self._retry_map[job_id]['state']
if current_state != self.States.NOT_ATTEMPTED:
# We are supposed to retry or attempt to retry each job
# only once. Raise an error if this is not the case.
raise ValueError('Unexpected state transition: %s -> %s' %
(self.States.get_string(current_state),
self.States.get_string(self.States.ATTEMPTED)))
else:
self._retry_map[job_id]['state'] = self.States.ATTEMPTED
def has_following_retry(self, result):
"""Check whether there will be a following retry.
We have the following cases for a given job id (result.id),
- no retry map entry -> retry not required, no following retry
- has retry map entry:
- already retried -> has following retry
- has not retried
(this branch can be handled by checking should_retry(result))
- retry_max == 0 --> the last retry job, no more retry
- retry_max > 0
- attempted, but has failed in scheduling a
following retry due to rpc error --> no more retry
- has not attempped --> has following retry if test failed.
@param result: A result, encapsulating the status of the job.
@returns: True, if there will be a following retry.
False otherwise.
"""
return (result.test_executed
and result.id in self._retry_map
and (self._retry_map[result.id]['state'] == self.States.RETRIED
or self._should_retry(result)))
def _should_retry(self, result):
"""Check whether we should retry a job based on its result.
This method only makes sense when called by has_following_retry().
We will retry the job that corresponds to the result
when all of the following are true.
a) The test was actually executed, meaning that if
a job was aborted before it could ever reach the state
of 'Running', the job will not be retried.
b) The result is worse than |self._retry_level| which
defaults to 'WARN'.
c) The test requires retry, i.e. the job has an entry in the retry map.
d) We haven't made any retry attempt yet, i.e. state == NOT_ATTEMPTED
Note that if a test has JOB_RETRIES=5, and the second time
it was retried it hit an rpc error, we will give up on
all following retries.
e) The job has not reached its retry max, i.e. retry_max > 0
@param result: A result, encapsulating the status of the job.
@returns: True if we should retry the job.
"""
assert result.test_executed
assert result.id in self._retry_map
return (
not self._suite_max_reached()
and result.is_worse_than(
job_status.Status(self._retry_level, '', 'reason'))
and self._retry_map[result.id]['state'] == self.States.NOT_ATTEMPTED
and self._retry_map[result.id]['retry_max'] > 0
)
def get_retry_max(self, job_id):
"""Get the maximum times the job can still be retried.
@param job_id: afe_job_id of a job.
@returns: An int, representing the maximum times the job can still be
retried.
@raises KeyError if job_id isn't in the retry map.
"""
return self._retry_map[job_id]['retry_max']
class _ExperimentalTestFilter(object):
"""Filter experimental tests."""
def __init__(self, tests, add_experimental=True):
"""Initialize instance.
@param tests: iterable of tests (ControlData objects)
@param add_experimental: schedule experimental tests as well, or not.
"""
self._tests = list(tests)
self._add_experimental = add_experimental
def get_tests_to_schedule(self):
"""Return a list of tests to be scheduled for this suite.
@returns: list of tests (ControlData objects)
"""
tests = self.stable_tests
if self._add_experimental:
for test in self.unstable_tests:
if not test.name.startswith(constants.EXPERIMENTAL_PREFIX):
test.name = constants.EXPERIMENTAL_PREFIX + test.name
tests.append(test)
return tests
@property
def stable_tests(self):
"""Non-experimental tests.
@returns: list
"""
return filter(lambda t: not t.experimental, self._tests)
@property
def unstable_tests(self):
"""Experimental tests.
@returns: list
"""
return filter(lambda t: t.experimental, self._tests)
def _find_test_control_data_for_suite(
cf_getter, suite_name='', add_experimental=False,
forgiving_parser=True, run_prod_code=False,
test_args=None):
"""
Function to scan through all tests and find all tests.
When this method is called with a file system ControlFileGetter, or
enable_controls_in_batch is set as false, this function will looks at
control files returned by cf_getter.get_control_file_list() for tests.
If cf_getter is a File system ControlFileGetter, it performs a full
parse of the root directory associated with the getter. This is the
case when it's invoked from suite_preprocessor.
If cf_getter is a devserver getter it looks up the suite_name in a
suite to control file map generated at build time, and parses the
relevant control files alone. This lookup happens on the devserver,
so as far as this method is concerned, both cases are equivalent. If
enable_controls_in_batch is switched on, this function will call
cf_getter.get_suite_info() to get a dict of control files and contents
in batch.
@param cf_getter: a control_file_getter.ControlFileGetter used to list
and fetch the content of control files
@param suite_name: If specified, this method will attempt to restrain
the search space to just this suite's control files.
@param add_experimental: add tests with experimental attribute set.
@param forgiving_parser: If False, will raise ControlVariableExceptions
if any are encountered when parsing control
files. Note that this can raise an exception
for syntax errors in unrelated files, because
we parse them before applying the predicate.
@param run_prod_code: If true, the suite will run the test code that
lives in prod aka the test code currently on the
lab servers by disabling SSP for the discovered
tests.
@param test_args: A dict of args to be seeded in test control file under
the name |args_dict|.
@raises ControlVariableException: If forgiving_parser is False and there
is a syntax error in a control file.
@returns a dictionary of ControlData objects that based on given
parameters.
"""
logging.debug('Getting control file list for suite: %s', suite_name)
if _should_batch_with(cf_getter):
suite_info = cf_getter.get_suite_info(suite_name=suite_name)
files = suite_info.keys()
else:
files = cf_getter.get_control_file_list(suite_name=suite_name)
logging.debug('Parsing control files ...')
matcher = re.compile(r'[^/]+/(deps|profilers)/.+')
filtered_files = (path for path in files if not matcher.match(path))
if _should_batch_with(cf_getter):
control_file_texts = _batch_get_control_file_texts(
cf_getter, suite_name, filtered_files)
else:
control_file_texts = _get_control_file_texts(
cf_getter, filtered_files)
return _parse_control_file_texts(
control_file_texts=control_file_texts,
add_experimental=add_experimental,
forgiving_parser=forgiving_parser,
run_prod_code=run_prod_code,
test_args=test_args)
def _parse_control_file_texts(control_file_texts, add_experimental=False,
forgiving_parser=True, run_prod_code=False,
test_args=None):
"""Parse control file texts.
@param control_file_texts: iterable of (path, text) pairs
@param add_experimental: add tests with experimental attribute set.
@param forgiving_parser: If False, will raise ControlVariableExceptions
if any are encountered when parsing control
files. Note that this can raise an exception
for syntax errors in unrelated files, because
we parse them before applying the predicate.
@param run_prod_code: If true, the suite will run the test code that
lives in prod aka the test code currently on the
lab servers by disabling SSP for the discovered
tests.
@param test_args: A dict of args to be seeded in test control file under
the name |args_dict|.
@returns: a dictionary of ControlData objects
"""
tests = {}
for path, text in control_file_texts:
# Seed test_args into the control file.
if test_args:
text = tools.inject_vars(test_args, text)
try:
found_test = control_data.parse_control_string(
text, raise_warnings=True, path=path)
if not add_experimental and found_test.experimental:
continue
found_test.text = text
if run_prod_code:
found_test.require_ssp = False
tests[path] = found_test
except control_data.ControlVariableException, e:
if not forgiving_parser:
msg = "Failed parsing %s\n%s" % (path, e)
raise control_data.ControlVariableException(msg)
logging.warning("Skipping %s\n%s", path, e)
except Exception, e:
logging.error("Bad %s\n%s", path, e)
return tests
def _batch_get_control_file_texts(cf_getter, suite_name, paths):
"""Get control file content for given files.
@param cf_getter: a control_file_getter.ControlFileGetter used to list
and fetch the content of control files
@param suite_name: suite name
@param paths: iterable of control file paths
@returns: generator yielding (path, text) tuples
"""
suite_info = cf_getter.get_suite_info(suite_name=suite_name)
for path in paths:
yield path, suite_info[path]
def _get_control_file_texts(cf_getter, paths):
"""Get control file content for given files.
@param cf_getter: a control_file_getter.ControlFileGetter used to list
and fetch the content of control files
@param paths: iterable of control file paths
@returns: generator yielding (path, text) tuples
"""
for path in paths:
yield path, cf_getter.get_control_file_contents(path)
def _should_batch_with(cf_getter):
"""Return whether control files should be fetched in batch.
This depends on the control file getter and configuration options.
@param cf_getter: a control_file_getter.ControlFileGetter used to list
and fetch the content of control files
"""
return (ENABLE_CONTROLS_IN_BATCH
and isinstance(cf_getter, control_file_getter.DevServerGetter))
class Suite(object):
"""
A suite of tests, defined by some predicate over control file variables.
Given a place to search for control files a predicate to match the desired
tests, can gather tests and fire off jobs to run them, and then wait for
results.
@var _predicate: a function that should return True when run over a
ControlData representation of a control file that should be in
this Suite.
@var _tag: a string with which to tag jobs run in this suite.
@var _builds: the builds on which we're running this suite.
@var _afe: an instance of AFE as defined in server/frontend.py.
@var _tko: an instance of TKO as defined in server/frontend.py.
@var _jobs: currently scheduled jobs, if any.
@var _jobs_to_tests: a dictionary that maps job ids to tests represented
ControlData objects.
@var _cf_getter: a control_file_getter.ControlFileGetter
@var _retry: a bool value indicating whether jobs should be retried on
failure.
@var _retry_handler: a RetryHandler object.
"""
@staticmethod
def _create_ds_getter(build, devserver):
"""
@param build: the build on which we're running this suite.
@param devserver: the devserver which contains the build.
@return a FileSystemGetter instance that looks under |autotest_dir|.
"""
return control_file_getter.DevServerGetter(build, devserver)
@staticmethod
def create_fs_getter(autotest_dir):
"""
@param autotest_dir: the place to find autotests.
@return a FileSystemGetter instance that looks under |autotest_dir|.
"""
# currently hard-coded places to look for tests.
subpaths = ['server/site_tests', 'client/site_tests',
'server/tests', 'client/tests']
directories = [os.path.join(autotest_dir, p) for p in subpaths]
return control_file_getter.FileSystemGetter(directories)
@staticmethod
def name_in_tag_predicate(name):
"""Returns predicate that takes a control file and looks for |name|.
Builds a predicate that takes in a parsed control file (a ControlData)
and returns True if the SUITE tag is present and contains |name|.
@param name: the suite name to base the predicate on.
@return a callable that takes a ControlData and looks for |name| in that
ControlData object's suite member.
"""
return lambda t: name in t.suite_tag_parts
@staticmethod
def name_in_tag_similarity_predicate(name):
"""Returns predicate that takes a control file and gets the similarity
of the suites in the control file and the given name.
Builds a predicate that takes in a parsed control file (a ControlData)
and returns a list of tuples of (suite name, ratio), where suite name
is each suite listed in the control file, and ratio is the similarity
between each suite and the given name.
@param name: the suite name to base the predicate on.
@return a callable that takes a ControlData and returns a list of tuples
of (suite name, ratio), where suite name is each suite listed in
the control file, and ratio is the similarity between each suite
and the given name.
"""
return lambda t: [(suite,
difflib.SequenceMatcher(a=suite, b=name).ratio())
for suite in t.suite_tag_parts] or [(None, 0)]
@staticmethod
def test_name_equals_predicate(test_name):
"""Returns predicate that matched based on a test's name.
Builds a predicate that takes in a parsed control file (a ControlData)
and returns True if the test name is equal to |test_name|.
@param test_name: the test name to base the predicate on.
@return a callable that takes a ControlData and looks for |test_name|
in that ControlData's name.
"""
return lambda t: hasattr(t, 'name') and test_name == t.name
@staticmethod
def test_name_matches_pattern_predicate(test_name_pattern):
"""Returns predicate that matches based on a test's name pattern.
Builds a predicate that takes in a parsed control file (a ControlData)
and returns True if the test name matches the given regular expression.
@param test_name_pattern: regular expression (string) to match against
test names.
@return a callable that takes a ControlData and returns
True if the name fields matches the pattern.
"""
return lambda t: hasattr(t, 'name') and re.match(test_name_pattern,
t.name)
@staticmethod
def test_file_matches_pattern_predicate(test_file_pattern):
"""Returns predicate that matches based on a test's file name pattern.
Builds a predicate that takes in a parsed control file (a ControlData)
and returns True if the test's control file name matches the given
regular expression.
@param test_file_pattern: regular expression (string) to match against
control file names.
@return a callable that takes a ControlData and and returns
True if control file name matches the pattern.
"""
return lambda t: hasattr(t, 'path') and re.match(test_file_pattern,
t.path)
@staticmethod
def matches_attribute_expression_predicate(test_attr_boolstr):
"""Returns predicate that matches based on boolean expression of
attributes.
Builds a predicate that takes in a parsed control file (a ControlData)
ans returns True if the test attributes satisfy the given attribute
boolean expression.
@param test_attr_boolstr: boolean expression of the attributes to be
test, like 'system:all and interval:daily'.
@return a callable that takes a ControlData and returns True if the test
attributes satisfy the given boolean expression.
"""
return lambda t: boolparse_lib.BoolstrResult(
test_attr_boolstr, t.attributes)
@staticmethod
def test_name_similarity_predicate(test_name):
"""Returns predicate that matched based on a test's name.
Builds a predicate that takes in a parsed control file (a ControlData)
and returns a tuple of (test name, ratio), where ratio is the similarity
between the test name and the given test_name.
@param test_name: the test name to base the predicate on.
@return a callable that takes a ControlData and returns a tuple of
(test name, ratio), where ratio is the similarity between the
test name and the given test_name.
"""
return lambda t: ((None, 0) if not hasattr(t, 'name') else
(t.name,
difflib.SequenceMatcher(a=t.name, b=test_name).ratio()))
@staticmethod
def test_file_similarity_predicate(test_file_pattern):
"""Returns predicate that gets the similarity based on a test's file
name pattern.
Builds a predicate that takes in a parsed control file (a ControlData)
and returns a tuple of (file path, ratio), where ratio is the
similarity between the test file name and the given test_file_pattern.
@param test_file_pattern: regular expression (string) to match against
control file names.
@return a callable that takes a ControlData and and returns a tuple of
(file path, ratio), where ratio is the similarity between the
test file name and the given test_file_pattern.
"""
return lambda t: ((None, 0) if not hasattr(t, 'path') else
(t.path, difflib.SequenceMatcher(a=t.path,
b=test_file_pattern).ratio()))
@classmethod
def list_all_suites(cls, build, devserver, cf_getter=None):
"""
Parses all ControlData objects with a SUITE tag and extracts all
defined suite names.
@param build: the build on which we're running this suite.
@param devserver: the devserver which contains the build.
@param cf_getter: control_file_getter.ControlFileGetter. Defaults to
using DevServerGetter.
@return list of suites
"""
if cf_getter is None:
cf_getter = cls._create_ds_getter(build, devserver)
suites = set()
predicate = lambda t: True
for test in cls.find_and_parse_tests(cf_getter, predicate,
add_experimental=True):
suites.update(test.suite_tag_parts)
return list(suites)
@staticmethod
def get_test_source_build(builds, **dargs):
"""Get the build of test code.
Get the test source build from arguments. If parameter
`test_source_build` is set and has a value, return its value. Otherwise
returns the ChromeOS build name if it exists. If ChromeOS build is not
specified either, raise SuiteArgumentException.
@param builds: the builds on which we're running this suite. It's a
dictionary of version_prefix:build.
@param **dargs: Any other Suite constructor parameters, as described
in Suite.__init__ docstring.
@return: The build contains the test code.
@raise: SuiteArgumentException if both test_source_build and ChromeOS
build are not specified.
"""
if dargs.get('test_source_build', None):
return dargs['test_source_build']
test_source_build = builds.get(provision.CROS_VERSION_PREFIX, None)
if not test_source_build:
raise error.SuiteArgumentException(
'test_source_build must be specified if CrOS build is not '
'specified.')
return test_source_build
@classmethod
def create_from_predicates(cls, predicates, builds, board, devserver,
cf_getter=None, name='ad_hoc_suite',
run_prod_code=False, **dargs):
"""
Create a Suite using a given predicate test filters.
Uses supplied predicate(s) to instantiate a Suite. Looks for tests in
|autotest_dir| and will schedule them using |afe|. Pulls control files
from the default dev server. Results will be pulled from |tko| upon
completion.
@param predicates: A list of callables that accept ControlData
representations of control files. A test will be
included in suite if all callables in this list
return True on the given control file.
@param builds: the builds on which we're running this suite. It's a
dictionary of version_prefix:build.
@param board: the board on which we're running this suite.
@param devserver: the devserver which contains the build.
@param cf_getter: control_file_getter.ControlFileGetter. Defaults to
using DevServerGetter.
@param name: name of suite. Defaults to 'ad_hoc_suite'
@param run_prod_code: If true, the suite will run the tests that
lives in prod aka the test code currently on the
lab servers.
@param **dargs: Any other Suite constructor parameters, as described
in Suite.__init__ docstring.
@return a Suite instance.
"""
if cf_getter is None:
if run_prod_code:
cf_getter = cls.create_fs_getter(_AUTOTEST_DIR)
else:
build = cls.get_test_source_build(builds, **dargs)
cf_getter = cls._create_ds_getter(build, devserver)
return cls(predicates,
name, builds, board, cf_getter, run_prod_code, **dargs)
@classmethod
def create_from_name(cls, name, builds, board, devserver, cf_getter=None,
**dargs):
"""
Create a Suite using a predicate based on the SUITE control file var.
Makes a predicate based on |name| and uses it to instantiate a Suite
that looks for tests in |autotest_dir| and will schedule them using
|afe|. Pulls control files from the default dev server.
Results will be pulled from |tko| upon completion.
@param name: a value of the SUITE control file variable to search for.
@param builds: the builds on which we're running this suite. It's a
dictionary of version_prefix:build.
@param board: the board on which we're running this suite.
@param devserver: the devserver which contains the build.
@param cf_getter: control_file_getter.ControlFileGetter. Defaults to
using DevServerGetter.
@param **dargs: Any other Suite constructor parameters, as described
in Suite.__init__ docstring.
@return a Suite instance.
"""
if cf_getter is None:
build = cls.get_test_source_build(builds, **dargs)
cf_getter = cls._create_ds_getter(build, devserver)
return cls([cls.name_in_tag_predicate(name)],
name, builds, board, cf_getter, **dargs)
def __init__(
self,
predicates,
tag,
builds,
board,
cf_getter,
run_prod_code=False,
afe=None,
tko=None,
pool=None,
results_dir=None,
max_runtime_mins=24*60,
timeout_mins=24*60,
file_bugs=False,
file_experimental_bugs=False,
suite_job_id=None,
ignore_deps=False,
extra_deps=None,
priority=priorities.Priority.DEFAULT,
forgiving_parser=True,
wait_for_results=True,
job_retry=False,
max_retries=sys.maxint,
offload_failures_only=False,
test_source_build=None,
job_keyvals=None,
test_args=None
):
"""
Constructor
@param predicates: A list of callables that accept ControlData
representations of control files. A test will be
included in suite is all callables in this list
return True on the given control file.
@param tag: a string with which to tag jobs run in this suite.
@param builds: the builds on which we're running this suite.
@param board: the board on which we're running this suite.
@param cf_getter: a control_file_getter.ControlFileGetter
@param afe: an instance of AFE as defined in server/frontend.py.
@param tko: an instance of TKO as defined in server/frontend.py.
@param pool: Specify the pool of machines to use for scheduling
purposes.
@param run_prod_code: If true, the suite will run the test code that
lives in prod aka the test code currently on the
lab servers.
@param results_dir: The directory where the job can write results to.
This must be set if you want job_id of sub-jobs
list in the job keyvals.
@param max_runtime_mins: Maximum suite runtime, in minutes.
@param timeout: Maximum job lifetime, in hours.
@param suite_job_id: Job id that will act as parent id to all sub jobs.
Default: None
@param ignore_deps: True if jobs should ignore the DEPENDENCIES
attribute and skip applying of dependency labels.
(Default:False)
@param extra_deps: A list of strings which are the extra DEPENDENCIES
to add to each test being scheduled.
@param priority: Integer priority level. Higher is more important.
@param wait_for_results: Set to False to run the suite job without
waiting for test jobs to finish. Default is
True.
@param job_retry: A bool value indicating whether jobs should be retired
on failure. If True, the field 'JOB_RETRIES' in
control files will be respected. If False, do not
retry.
@param max_retries: Maximum retry limit at suite level.
Regardless how many times each individual test
has been retried, the total number of retries
happening in the suite can't exceed _max_retries.
Default to sys.maxint.
@param offload_failures_only: Only enable gs_offloading for failed
jobs.
@param test_source_build: Build that contains the server-side test code.
@param job_keyvals: General job keyvals to be inserted into keyval file,
which will be used by tko/parse later.
@param test_args: A dict of args passed all the way to each individual
test that will be actually ran.
"""
if extra_deps is None:
extra_deps = []
self._tag = tag
self._builds = builds
self._board = board
self._cf_getter = cf_getter
self._results_dir = results_dir
self._afe = afe or frontend_wrappers.RetryingAFE(timeout_min=30,
delay_sec=10,
debug=False)
self._tko = tko or frontend_wrappers.RetryingTKO(timeout_min=30,
delay_sec=10,
debug=False)
self._pool = pool
self._jobs = []
self._jobs_to_tests = {}
self.tests = self.find_and_parse_tests(
self._cf_getter,
lambda control_data: all(f(control_data) for f in predicates),
self._tag,
add_experimental=True,
forgiving_parser=forgiving_parser,
run_prod_code=run_prod_code,
test_args=test_args,
)
self._max_runtime_mins = max_runtime_mins
self._timeout_mins = timeout_mins
self._file_bugs = file_bugs
self._file_experimental_bugs = file_experimental_bugs
self._suite_job_id = suite_job_id
self._ignore_deps = ignore_deps
self._extra_deps = extra_deps
self._priority = priority
self._job_retry=job_retry
self._max_retries = max_retries
# RetryHandler to be initialized in schedule()
self._retry_handler = None
self.wait_for_results = wait_for_results
self._offload_failures_only = offload_failures_only
self._test_source_build = test_source_build
self._job_keyvals = job_keyvals
self._test_args = test_args
@property
def _cros_build(self):
"""Return the CrOS build or the first build in the builds dict."""
# TODO(ayatane): Note that the builds dict isn't ordered. I'm not
# sure what the implications of this are, but it's probably not a
# good thing.
return self._builds.get(provision.CROS_VERSION_PREFIX,
self._builds.values()[0])
def _create_job(self, test, retry_for=None):
"""
Thin wrapper around frontend.AFE.create_job().
@param test: ControlData object for a test to run.
@param retry_for: If the to-be-created job is a retry for an
old job, the afe_job_id of the old job will
be passed in as |retry_for|, which will be
recorded in the new job's keyvals.
@returns: A frontend.Job object with an added test_name member.
test_name is used to preserve the higher level TEST_NAME
name of the job.
"""
test_obj = self._afe.create_job(
control_file=test.text,
name=tools.create_job_name(
self._test_source_build or self._cros_build,
self._tag,
test.name),
control_type=test.test_type.capitalize(),
meta_hosts=[self._board]*test.sync_count,
dependencies=self._create_job_deps(test),
keyvals=self._create_keyvals_for_test_job(test, retry_for),
max_runtime_mins=self._max_runtime_mins,
timeout_mins=self._timeout_mins,
parent_job_id=self._suite_job_id,
test_retry=test.retries,
priority=self._priority,
synch_count=test.sync_count,
require_ssp=test.require_ssp)
test_obj.test_name = test.name
return test_obj
def _create_job_deps(self, test):
"""Create job deps list for a test job.
@returns: A list of dependency strings.
"""
if self._ignore_deps:
job_deps = []
else:
job_deps = list(test.dependencies)
job_deps.extend(self._extra_deps)
if self._pool:
job_deps.append(self._pool)
job_deps.append(self._board)
return job_deps
def _create_keyvals_for_test_job(self, test, retry_for=None):
"""Create keyvals dict for creating a test job.
@param test: ControlData object for a test to run.
@param retry_for: If the to-be-created job is a retry for an
old job, the afe_job_id of the old job will
be passed in as |retry_for|, which will be
recorded in the new job's keyvals.
@returns: A keyvals dict for creating the test job.
"""
keyvals = {
constants.JOB_BUILD_KEY: self._cros_build,
constants.JOB_SUITE_KEY: self._tag,
constants.JOB_EXPERIMENTAL_KEY: test.experimental,
constants.JOB_BUILDS_KEY: self._builds
}
# test_source_build is saved to job_keyvals so scheduler can retrieve
# the build name from database when compiling autoserv commandline.
# This avoid a database change to add a new field in afe_jobs.
#
# Only add `test_source_build` to job keyvals if the build is different
# from the CrOS build or the job uses more than one build, e.g., both
# firmware and CrOS will be updated in the dut.
# This is for backwards compatibility, so the update Autotest code can
# compile an autoserv command line to run in a SSP container using
# previous builds.
if (self._test_source_build and
(self._cros_build != self._test_source_build or
len(self._builds) > 1)):
keyvals[constants.JOB_TEST_SOURCE_BUILD_KEY] = \
self._test_source_build
for prefix, build in self._builds.iteritems():
if prefix == provision.FW_RW_VERSION_PREFIX:
keyvals[constants.FWRW_BUILD]= build
elif prefix == provision.FW_RO_VERSION_PREFIX:
keyvals[constants.FWRO_BUILD] = build
# Add suite job id to keyvals so tko parser can read it from keyval
# file.
if self._suite_job_id:
keyvals[constants.PARENT_JOB_ID] = self._suite_job_id
# We drop the old job's id in the new job's keyval file so that
# later our tko parser can figure out the retry relationship and
# invalidate the results of the old job in tko database.
if retry_for:
keyvals[constants.RETRY_ORIGINAL_JOB_ID] = retry_for
if self._offload_failures_only:
keyvals[constants.JOB_OFFLOAD_FAILURES_KEY] = True
return keyvals
def _schedule_test(self, record, test, retry_for=None, ignore_errors=False):
"""Schedule a single test and return the job.
Schedule a single test by creating a job, and then update relevant
data structures that are used to keep track of all running jobs.
Emits a TEST_NA status log entry if it failed to schedule the test due
to NoEligibleHostException or a non-existent board label.
Returns a frontend.Job object if the test is successfully scheduled.
If scheduling failed due to NoEligibleHostException or a non-existent
board label, returns None. If ignore_errors is True, all unknown
errors return None, otherwise the errors are raised as-is.
@param record: A callable to use for logging.
prototype: record(base_job.status_log_entry)
@param test: ControlData for a test to run.
@param retry_for: If we are scheduling a test to retry an
old job, the afe_job_id of the old job
will be passed in as |retry_for|.
@param ignore_errors: If True, when an rpc error occur, ignore
the error and will return None.
If False, rpc errors will be raised.
@returns: A frontend.Job object or None
"""
msg = 'Scheduling %s' % test.name
if retry_for:
msg = msg + ', to retry afe job %d' % retry_for
logging.debug(msg)
begin_time_str = datetime.datetime.now().strftime(time_utils.TIME_FMT)
try:
job = self._create_job(test, retry_for=retry_for)
except (error.NoEligibleHostException, proxy.ValidationError) as e:
if (isinstance(e, error.NoEligibleHostException)
or (isinstance(e, proxy.ValidationError)
and _is_nonexistent_board_error(e))):
# Treat a dependency on a non-existent board label the same as
# a dependency on a board that exists, but for which there's no
# hardware.
logging.debug('%s not applicable for this board/pool. '
'Emitting TEST_NA.', test.name)
Status('TEST_NA', test.name,
'Skipping: test not supported on this board/pool.',
begin_time_str=begin_time_str).record_all(record)
return None
else:
raise e
except (error.RPCException, proxy.JSONRPCException) as e:
if retry_for:
# Mark that we've attempted to retry the old job.
self._retry_handler.set_attempted(job_id=retry_for)
if ignore_errors:
logging.error('Failed to schedule test: %s, Reason: %s',
test.name, e)
return None
else:
raise e
else:
self._jobs.append(job)
self._jobs_to_tests[job.id] = test
if retry_for:
# A retry job was just created, record it.
self._retry_handler.add_retry(
old_job_id=retry_for, new_job_id=job.id)
retry_count = (test.job_retries -
self._retry_handler.get_retry_max(job.id))
logging.debug('Job %d created to retry job %d. '
'Have retried for %d time(s)',
job.id, retry_for, retry_count)
self._remember_job_keyval(job)
return job
def schedule(self, record, add_experimental=True):
#pylint: disable-msg=C0111
"""
Schedule jobs using |self._afe|.
frontend.Job objects representing each scheduled job will be put in
|self._jobs|.
@param record: A callable to use for logging.
prototype: record(base_job.status_log_entry)
@param add_experimental: schedule experimental tests as well, or not.
@returns: The number of tests that were scheduled.
"""
scheduled_test_names = []
test_filter = _ExperimentalTestFilter(
tests=self.tests,
add_experimental=add_experimental)
logging.debug('Discovered %d stable tests.',
len(test_filter.stable_tests))
logging.debug('Discovered %d unstable tests.',
len(test_filter.unstable_tests))
Status('INFO', 'Start %s' % self._tag).record_result(record)
try:
# Write job_keyvals into keyval file.
if self._job_keyvals:
utils.write_keyval(self._results_dir, self._job_keyvals)
for test in test_filter.get_tests_to_schedule():
scheduled_job = self._schedule_test(record, test)
if scheduled_job is not None:
scheduled_test_names.append(test.name)
# Write the num of scheduled tests and name of them to keyval file.
logging.debug('Scheduled %d tests, writing the total to keyval.',
len(scheduled_test_names))
utils.write_keyval(
self._results_dir,
self._make_scheduled_tests_keyvals(scheduled_test_names))
except Exception: # pylint: disable=W0703
logging.exception('Exception while scheduling suite')
Status('FAIL', self._tag,
'Exception while scheduling suite').record_result(record)
if self._job_retry:
self._retry_handler = RetryHandler(
initial_jobs_to_tests=self._jobs_to_tests,
max_retries=self._max_retries)
return len(scheduled_test_names)
def _make_scheduled_tests_keyvals(self, scheduled_test_names):
"""Make a keyvals dict to write for scheduled test names.
@param scheduled_test_names: A list of scheduled test name strings.
@returns: A keyvals dict.
"""
return {
constants.SCHEDULED_TEST_COUNT_KEY: len(scheduled_test_names),
constants.SCHEDULED_TEST_NAMES_KEY: repr(scheduled_test_names),
}
def _should_report(self, result):
"""
Returns True if this failure requires to be reported.
@param result: A result, encapsulating the status of the failed job.
@return: True if we should report this failure.
"""
if self._has_retry(result):
return False
is_not_experimental = (
constants.EXPERIMENTAL_PREFIX not in result._test_name and
constants.EXPERIMENTAL_PREFIX not in result._job_name)
return (self._file_bugs and result.test_executed and
(is_not_experimental or self._file_experimental_bugs) and
not result.is_testna() and
result.is_worse_than(job_status.Status('GOOD', '', 'reason')))
def _has_retry(self, result):
"""
Return True if this result gets to retry.
@param result: A result, encapsulating the status of the failed job.
@return: bool
"""
return (self._job_retry
and self._retry_handler.has_following_retry(result))
def wait(self, record, bug_template=None):
"""
Polls for the job statuses, using |record| to print status when each
completes.
@param record: callable that records job status.
prototype:
record(base_job.status_log_entry)
@param bug_template: A template dictionary specifying the default bug
filing options for failures in this suite.
"""
# reporting modules have dependency on external packages, e.g., httplib2
# Such dependency can cause issue to any module tries to import suite.py
# without building site-packages first. Since the reporting modules are
# only used in this function, move the imports here avoid the
# requirement of building site packages to use other functions in this
# module.
from autotest_lib.server.cros.dynamic_suite import reporting
if bug_template is None:
bug_template = {}
if self._file_bugs:
bug_reporter = reporting.Reporter()
else:
bug_reporter = reporting.NullReporter()
try:
if self._suite_job_id:
results_generator = job_status.wait_for_child_results(
self._afe, self._tko, self._suite_job_id)
else:
logging.warning('Unknown suite_job_id, falling back to less '
'efficient results_generator.')
results_generator = job_status.wait_for_results(self._afe,
self._tko,
self._jobs)
for result in results_generator:
self._record_result(
result=result,
record=record,
results_generator=results_generator,
bug_reporter=bug_reporter,
bug_template=bug_template)
except Exception: # pylint: disable=W0703
logging.exception('Exception waiting for results')
Status('FAIL', self._tag,
'Exception waiting for results').record_result(record)
def _record_result(self, result, record, results_generator, bug_reporter,
bug_template):
"""
Record a single test job result.
@param result: Status instance for job.
@param record: callable that records job status.
prototype:
record(base_job.status_log_entry)
@param results_generator: Results generator for sending job retries.
@param bug_reporter: Reporter instance for reporting bugs.
@param bug_template: A template dictionary specifying the default bug
filing options for failures in this suite.
"""
result.record_all(record)
self._remember_job_keyval(result)
if self._has_retry(result):
new_job = self._schedule_test(
record=record, test=self._jobs_to_tests[result.id],
retry_for=result.id, ignore_errors=True)
if new_job:
results_generator.send([new_job])
# TODO (fdeng): If the suite times out before a retry could
# finish, we would lose the chance to file a bug for the
# original job.
if self._should_report(result):
if self._should_file_bugs:
self._file_bug(result, bug_reporter, bug_template)
else:
# reporting modules have dependency on external
# packages, e.g., httplib2 Such dependency can cause
# issue to any module tries to import suite.py without
# building site-packages first. Since the reporting
# modules are only used in this function, move the
# imports here avoid the requirement of building site
# packages to use other functions in this module.
from autotest_lib.server.cros.dynamic_suite import reporting
reporting.send_email(
self._get_test_bug(result),
self._get_bug_template(result, bug_template))
def _get_bug_template(self, result, bug_template):
"""Get BugTemplate for test job.
@param result: Status instance for job.
@param bug_template: A template dictionary specifying the default bug
filing options for failures in this suite.
@returns: BugTemplate instance
"""
# reporting modules have dependency on external packages, e.g., httplib2
# Such dependency can cause issue to any module tries to import suite.py
# without building site-packages first. Since the reporting modules are
# only used in this function, move the imports here avoid the
# requirement of building site packages to use other functions in this
# module.
from autotest_lib.server.cros.dynamic_suite import reporting_utils
# Try to merge with bug template in test control file.
template = reporting_utils.BugTemplate(bug_template)
try:
test_data = self._jobs_to_tests[result.id]
return template.finalize_bug_template(
test_data.bug_template)
except AttributeError:
# Test control file does not have bug template defined.
return template.bug_template
except reporting_utils.InvalidBugTemplateException as e:
logging.error('Merging bug templates failed with '
'error: %s An empty bug template will '
'be used.', e)
return {}
def _get_test_bug(self, result):
"""Get TestBug for the given result.
@param result: Status instance for a test job.
@returns: TestBug instance.
"""
# reporting modules have dependency on external packages, e.g., httplib2
# Such dependency can cause issue to any module tries to import suite.py
# without building site-packages first. Since the reporting modules are
# only used in this function, move the imports here avoid the
# requirement of building site packages to use other functions in this
# module.
from autotest_lib.server.cros.dynamic_suite import reporting
job_views = self._tko.run('get_detailed_test_views',
afe_job_id=result.id)
return reporting.TestBug(self._cros_build,
site_utils.get_chrome_version(job_views),
self._tag,
result)
@property
def _should_file_bugs(self):
"""Return whether bugs should be filed.
@returns: bool
"""
# File bug when failure is one of the _FILE_BUG_SUITES,
# otherwise send an email to the owner anc cc.
return self._tag in _FILE_BUG_SUITES
def _file_bug(self, result, bug_reporter, bug_template):
"""File a bug for a test job result.
@param result: Status instance for job.
@param bug_reporter: Reporter instance for reporting bugs.
@param bug_template: A template dictionary specifying the default bug
filing options for failures in this suite.
"""
bug_id, bug_count = bug_reporter.report(
self._get_test_bug(result),
self._get_bug_template(result, bug_template))
# We use keyvals to communicate bugs filed with run_suite.
if bug_id is not None:
bug_keyvals = tools.create_bug_keyvals(
result.id, result.test_name,
(bug_id, bug_count))
try:
utils.write_keyval(self._results_dir,
bug_keyvals)
except ValueError:
logging.error('Unable to log bug keyval for:%s',
result.test_name)
def abort(self):
"""
Abort all scheduled test jobs.
"""
if self._jobs:
job_ids = [job.id for job in self._jobs]
self._afe.run('abort_host_queue_entries', job__id__in=job_ids)
def _remember_job_keyval(self, job):
"""
Record provided job as a suite job keyval, for later referencing.
@param job: some representation of a job that has the attributes:
id, test_name, and owner
"""
if self._results_dir and job.id and job.owner and job.test_name:
job_id_owner = '%s-%s' % (job.id, job.owner)
logging.debug('Adding job keyval for %s=%s',
job.test_name, job_id_owner)
utils.write_keyval(
self._results_dir,
{hashlib.md5(job.test_name).hexdigest(): job_id_owner})
@classmethod
def find_and_parse_tests(cls, cf_getter, predicate, suite_name='',
add_experimental=False, forgiving_parser=True,
run_prod_code=False, test_args=None):
"""
Function to scan through all tests and find eligible tests.
Search through all tests based on given cf_getter, suite_name,
add_experimental and forgiving_parser, return the tests that match
given predicate.
@param cf_getter: a control_file_getter.ControlFileGetter used to list
and fetch the content of control files
@param predicate: a function that should return True when run over a
ControlData representation of a control file that should be in
this Suite.
@param suite_name: If specified, this method will attempt to restrain
the search space to just this suite's control files.
@param add_experimental: add tests with experimental attribute set.
@param forgiving_parser: If False, will raise ControlVariableExceptions
if any are encountered when parsing control
files. Note that this can raise an exception
for syntax errors in unrelated files, because
we parse them before applying the predicate.
@param run_prod_code: If true, the suite will run the test code that
lives in prod aka the test code currently on the
lab servers by disabling SSP for the discovered
tests.
@param test_args: A dict of args to be seeded in test control file.
@raises ControlVariableException: If forgiving_parser is False and there
is a syntax error in a control file.
@return list of ControlData objects that should be run, with control
file text added in |text| attribute. Results are sorted based
on the TIME setting in control file, slowest test comes first.
"""
tests = _find_test_control_data_for_suite(
cf_getter, suite_name, add_experimental, forgiving_parser,
run_prod_code=run_prod_code,
test_args=test_args)
logging.debug('Parsed %s control files.', len(tests))
tests = [test for test in tests.itervalues() if predicate(test)]
tests.sort(key=lambda t:
control_data.ControlData.get_test_time_index(t.time),
reverse=True)
return tests
@classmethod
def find_possible_tests(cls, cf_getter, predicate, suite_name='', count=10):
"""
Function to scan through all tests and find possible tests.
Search through all tests based on given cf_getter, suite_name,
add_experimental and forgiving_parser. Use the given predicate to
calculate the similarity and return the top 10 matches.
@param cf_getter: a control_file_getter.ControlFileGetter used to list
and fetch the content of control files
@param predicate: a function that should return a tuple of (name, ratio)
when run over a ControlData representation of a control file that
should be in this Suite. `name` is the key to be compared, e.g.,
a suite name or test name. `ratio` is a value between [0,1]
indicating the similarity of `name` and the value to be compared.
@param suite_name: If specified, this method will attempt to restrain
the search space to just this suite's control files.
@param count: Number of suggestions to return, default to 10.
@return list of top names that similar to the given test, sorted by
match ratio.
"""
tests = _find_test_control_data_for_suite(
cf_getter, suite_name,
add_experimental=True, forgiving_parser=True)
logging.debug('Parsed %s control files.', len(tests))
similarities = {}
for test in tests.itervalues():
ratios = predicate(test)
# Some predicates may return a list of tuples, e.g.,
# name_in_tag_similarity_predicate. Convert all returns to a list.
if not isinstance(ratios, list):
ratios = [ratios]
for name, ratio in ratios:
similarities[name] = ratio
return [s[0] for s in
sorted(similarities.items(), key=operator.itemgetter(1),
reverse=True)][:count]
def _is_nonexistent_board_error(e):
"""Return True if error is caused by nonexistent board label.
As of this writing, the particular case we want looks like this:
1) e.problem_keys is a dictionary
2) e.problem_keys['meta_hosts'] exists as the only key
in the dictionary.
3) e.problem_keys['meta_hosts'] matches this pattern:
"Label "board:.*" not found"
We check for conditions 1) and 2) on the
theory that they're relatively immutable.
We don't check condition 3) because it seems
likely to be a maintenance burden, and for the
times when we're wrong, being right shouldn't
matter enough (we _hope_).
@param e: proxy.ValidationError instance
@returns: boolean
"""
return (isinstance(e.problem_keys, dict)
and len(e.problem_keys) == 1
and 'meta_hosts' in e.problem_keys)