def test_job_safe(self):
self.assertIsNotNone(self.fakejob.timeout)
pipeline = TestTimeout.FakePipeline(job=self.fakejob)
action = TestTimeout.SafeAction()
pipeline.add_action(action)
pipeline.add_action(TestTimeout.SafeAction())
finalize = FinalizeAction()
finalize.parameters['namespace'] = 'common'
pipeline.add_action(finalize)
self.fakejob.pipeline = pipeline
self.fakejob.device = TestTimeout.FakeDevice()
# run() returns 0 in case of success
self.assertEqual(self.fakejob.run(), 0)
def test_long_job_safe(self):
self.fakejob.timeout.duration = 8
self.assertIsNotNone(self.fakejob.timeout)
pipeline = TestTimeout.FakePipeline(job=self.fakejob)
self.fakejob.pipeline = pipeline
action = TestTimeout.SafeAction()
action.timeout.duration = 2
pipeline.add_action(action)
pipeline.add_action(action)
pipeline.add_action(TestTimeout.FakeSafeAction())
pipeline.add_action(TestTimeout.FakeSafeAction())
finalize = FinalizeAction()
finalize.parameters['namespace'] = 'common'
pipeline.add_action(finalize)
self.fakejob.pipeline = pipeline
self.fakejob.device = TestTimeout.FakeDevice()
self.assertEqual(self.fakejob.run(), 0)
def test_job_timeout(self):
self.assertIsNotNone(self.fakejob.timeout)
pipeline = TestTimeout.FakePipeline(job=self.fakejob)
action = TestTimeout.LongAction()
pipeline.add_action(action)
pipeline.add_action(TestTimeout.SafeAction())
pipeline.add_action(FinalizeAction())
self.fakejob.set_pipeline(pipeline)
self.fakejob.device = TestTimeout.FakeDevice()
with self.assertRaises(JobError):
self.fakejob.run()
def test_job_safe(self):
self.assertIsNotNone(self.fakejob.timeout)
pipeline = TestTimeout.FakePipeline(job=self.fakejob)
action = TestTimeout.SafeAction()
pipeline.add_action(action)
pipeline.add_action(TestTimeout.SafeAction())
pipeline.add_action(FinalizeAction())
self.fakejob.pipeline = pipeline
self.fakejob.device = TestTimeout.FakeDevice()
# run() returns 0 in case of success
self.assertEqual(self.fakejob.run(), 0)
def test_job_timeout(self):
self.assertIsNotNone(self.fakejob.timeout)
pipeline = TestTimeout.FakePipeline(job=self.fakejob)
action = TestTimeout.LongAction()
pipeline.add_action(action)
pipeline.add_action(TestTimeout.SafeAction())
pipeline.add_action(FinalizeAction())
self.fakejob.pipeline = pipeline
self.fakejob.device = TestTimeout.FakeDevice()
# run() returns 2 for JobError
self.assertEqual(self.fakejob.run(), 2)
def test_job_safe(self):
self.assertIsNotNone(self.fakejob.timeout)
pipeline = TestTimeout.FakePipeline(job=self.fakejob)
action = TestTimeout.SafeAction()
pipeline.add_action(action)
pipeline.add_action(TestTimeout.SafeAction())
pipeline.add_action(FinalizeAction())
self.fakejob.set_pipeline(pipeline)
self.fakejob.device = TestTimeout.FakeDevice()
try:
self.fakejob.run()
except JobError as exc:
self.fail(exc)
def test_long_job_safe(self):
self.fakejob.timeout.duration = 8
self.assertIsNotNone(self.fakejob.timeout)
pipeline = TestTimeout.FakePipeline(job=self.fakejob)
self.fakejob.pipeline = pipeline
action = TestTimeout.SafeAction()
action.timeout.duration = 2
pipeline.add_action(action)
pipeline.add_action(action)
pipeline.add_action(TestTimeout.FakeSafeAction())
pipeline.add_action(TestTimeout.FakeSafeAction())
pipeline.add_action(FinalizeAction())
self.fakejob.pipeline = pipeline
self.fakejob.device = TestTimeout.FakeDevice()
self.assertEqual(self.fakejob.run(), 0)
def parse(self,
content,
device,
job_id,
zmq_config,
dispatcher_config,
output_dir=None,
env_dut=None):
self.loader = yaml.Loader(content)
self.loader.compose_node = self.compose_node
self.loader.construct_mapping = self.construct_mapping
data = self.loader.get_single_data()
job = Job(job_id, data, zmq_config)
test_counts = {}
job.device = device
job.parameters['output_dir'] = output_dir
job.parameters['env_dut'] = env_dut
# Load the dispatcher config
job.parameters['dispatcher'] = {}
if dispatcher_config is not None:
config = yaml.load(dispatcher_config)
if isinstance(config, dict):
job.parameters['dispatcher'] = config
# Setup the logging now that we have the parameters
job.setup_logging()
level_tuple = Protocol.select_all(job.parameters)
# sort the list of protocol objects by the protocol class level.
job.protocols = [
item[0](job.parameters, job_id)
for item in sorted(level_tuple,
key=lambda level_tuple: level_tuple[1])
]
pipeline = Pipeline(job=job)
self._timeouts(data, job)
# deploy and boot classes can populate the pipeline differently depending
# on the test action type they are linked with (via namespacing).
# This code builds an information dict for each namespace which is then
# passed as a parameter to each Action class to use.
test_info = {}
test_actions = ([
action for action in data['actions'] if 'test' in action
])
for test_action in test_actions:
test_parameters = test_action['test']
test_type = LavaTest.select(device, test_parameters)
namespace = test_parameters.get('namespace', 'common')
if namespace in test_info:
test_info[namespace].append({
'class': test_type,
'parameters': test_parameters
})
else:
test_info.update({
namespace: [{
'class': test_type,
'parameters': test_parameters
}]
})
# FIXME: also read permissable overrides from device config and set from job data
# FIXME: ensure that a timeout for deployment 0 does not get set as the timeout for deployment 1 if 1 is default
for action_data in data['actions']:
action_data.pop('yaml_line', None)
for name in action_data:
# Set a default namespace if needed
namespace = action_data[name].setdefault('namespace', 'common')
test_counts.setdefault(namespace, 1)
if name == 'deploy' or name == 'boot' or name == 'test':
parse_action(action_data, name, device, pipeline,
test_info, test_counts[namespace])
if name == 'test':
test_counts[namespace] += 1
elif name == 'repeat':
count = action_data[name][
'count'] # first list entry must be the count dict
repeats = action_data[name]['actions']
for c_iter in range(count):
for repeating in repeats: # block of YAML to repeat
for repeat_action in repeating: # name of the action for this block
if repeat_action == 'yaml_line':
continue
repeating[repeat_action][
'repeat-count'] = c_iter
namespace = repeating[
repeat_action].setdefault(
'namespace', 'common')
test_counts.setdefault(namespace, 1)
parse_action(repeating, repeat_action, device,
pipeline, test_info,
test_counts[namespace])
if repeat_action == 'test':
test_counts[namespace] += 1
elif name == 'command':
action = CommandAction()
action.parameters = action_data[name]
pipeline.add_action(action)
else:
raise JobError("Unknown action name '%'" % name)
# there's always going to need to be a finalize_process action
finalize = FinalizeAction()
pipeline.add_action(finalize)
finalize.populate(None)
data['output_dir'] = output_dir
job.pipeline = pipeline
if 'compatibility' in data:
try:
job_c = int(job.compatibility)
data_c = int(data['compatibility'])
except ValueError as exc:
raise JobError('invalid compatibility value: %s' % exc)
if job_c < data_c:
raise JobError(
'Dispatcher unable to meet job compatibility requirement. %d > %d'
% (job_c, data_c))
return job
def parse(self,
content,
device,
job_id,
socket_addr,
output_dir=None,
env_dut=None):
self.loader = yaml.Loader(content)
self.loader.compose_node = self.compose_node
self.loader.construct_mapping = self.construct_mapping
data = self.loader.get_single_data()
self.context['default_action_duration'] = Timeout.default_duration()
self.context['default_test_duration'] = Timeout.default_duration()
job = Job(job_id, socket_addr, data)
counts = {}
job.device = device
job.parameters['output_dir'] = output_dir
job.parameters['env_dut'] = env_dut
job.parameters['target'] = device.target
for instance in Protocol.select_all(job.parameters):
job.protocols.append(instance(job.parameters))
pipeline = Pipeline(job=job)
self._timeouts(data, job)
# FIXME: also read permissable overrides from device config and set from job data
# FIXME: ensure that a timeout for deployment 0 does not get set as the timeout for deployment 1 if 1 is default
for action_data in data['actions']:
action_data.pop('yaml_line', None)
for name in action_data:
if type(
action_data[name]
) is dict: # FIXME: commands are not fully implemented & may produce a list
action_data[name]['default_action_timeout'] = self.context[
'default_action_duration']
action_data[name]['default_test_timeout'] = self.context[
'default_test_duration']
counts.setdefault(name, 1)
if name == 'deploy' or name == 'boot' or name == 'test':
# reset the context before adding a second deployment and again before third etc.
if name == 'deploy' and counts[name] >= 2:
reset_context = ResetContext()
reset_context.section = name
pipeline.add_action(reset_context)
parse_action(action_data, name, device, pipeline)
elif name == 'repeat':
count = action_data[name][
'count'] # first list entry must be the count dict
repeats = action_data[name]['actions']
for c_iter in xrange(count):
for repeating in repeats: # block of YAML to repeat
for repeat_action in repeating: # name of the action for this block
if repeat_action == 'yaml_line':
continue
repeating[repeat_action][
'repeat-count'] = c_iter
parse_action(repeating, repeat_action, device,
pipeline)
else:
# May only end up being used for submit as other actions all need strategy method objects
# select the specific action of this class for this job
action = Action.select(name)()
action.job = job
# put parameters (like rootfs_type, results_dir) into the actions.
if type(action_data[name]) == dict:
action.parameters = action_data[name]
elif name == "commands":
# FIXME
pass
elif type(action_data[name]) == list:
for param in action_data[name]:
action.parameters = param
action.summary = name
action.timeout = Timeout(
action.name, self.context['default_action_duration'])
pipeline.add_action(action)
counts[name] += 1
# there's always going to need to be a finalize_process action
pipeline.add_action(FinalizeAction())
data['output_dir'] = output_dir
job.set_pipeline(pipeline)
return job
def parse(self,
content,
device,
job_id,
socket_addr,
master_cert,
slave_cert,
output_dir=None,
env_dut=None):
self.loader = yaml.Loader(content)
self.loader.compose_node = self.compose_node
self.loader.construct_mapping = self.construct_mapping
data = self.loader.get_single_data()
self.context['default_action_duration'] = Timeout.default_duration()
self.context['default_test_duration'] = Timeout.default_duration()
self.context['default_connection_duration'] = Timeout.default_duration(
)
job = Job(job_id, socket_addr, master_cert, slave_cert, data)
counts = {}
job.device = device
job.parameters['output_dir'] = output_dir
job.parameters['env_dut'] = env_dut
job.parameters['target'] = device.target
level_tuple = Protocol.select_all(job.parameters)
# sort the list of protocol objects by the protocol class level.
job.protocols = [
item[0](job.parameters, job_id)
for item in sorted(level_tuple,
key=lambda level_tuple: level_tuple[1])
]
pipeline = Pipeline(job=job)
self._timeouts(data, job)
# some special handling is needed to tell the overlay classes about the presence or absence of a test action
test_action = True
test_list = [action for action in data['actions'] if 'test' in action]
if test_list and 'test' not in test_list[0]:
test_action = False
# FIXME: also read permissable overrides from device config and set from job data
# FIXME: ensure that a timeout for deployment 0 does not get set as the timeout for deployment 1 if 1 is default
for action_data in data['actions']:
action_data.pop('yaml_line', None)
for name in action_data:
if isinstance(
action_data[name], dict
): # FIXME: commands are not fully implemented & may produce a list
action_data[name].update(self._map_context_defaults())
counts.setdefault(name, 1)
if name == 'deploy' or name == 'boot' or name == 'test':
parse_action(action_data, name, device, pipeline,
test_action)
elif name == 'repeat':
count = action_data[name][
'count'] # first list entry must be the count dict
repeats = action_data[name]['actions']
for c_iter in range(count):
for repeating in repeats: # block of YAML to repeat
for repeat_action in repeating: # name of the action for this block
if repeat_action == 'yaml_line':
continue
repeating[repeat_action][
'repeat-count'] = c_iter
parse_action(repeating, repeat_action, device,
pipeline, test_action)
else:
# May only end up being used for submit as other actions all need strategy method objects
# select the specific action of this class for this job
action = Action.select(name)()
action.job = job
# put parameters (like rootfs_type, results_dir) into the actions.
if isinstance(action_data[name], dict):
action.parameters = action_data[name]
elif name == "commands":
# FIXME
pass
elif isinstance(action_data[name], list):
for param in action_data[name]:
action.parameters = param
action.summary = name
action.timeout = Timeout(
action.name, self.context['default_action_duration'])
action.connection_timeout = Timeout(
action.name,
self.context['default_connection_duration'])
pipeline.add_action(action)
counts[name] += 1
# there's always going to need to be a finalize_process action
finalize = FinalizeAction()
pipeline.add_action(finalize)
finalize.populate(self._map_context_defaults())
data['output_dir'] = output_dir
job.set_pipeline(pipeline)
if 'compatibility' in data:
try:
job_c = int(job.compatibility)
data_c = int(data['compatibility'])
except ValueError as exc:
raise JobError('invalid compatibility value: %s' % exc)
if job_c < data_c:
raise JobError(
'Dispatcher unable to meet job compatibility requirement. %d > %d'
% (job_c, data_c))
return job
def parse(self, content, device, job_id, socket_addr, output_dir=None,
env_dut=None):
self.loader = yaml.Loader(content)
self.loader.compose_node = self.compose_node
self.loader.construct_mapping = self.construct_mapping
data = self.loader.get_single_data()
self.context['default_action_duration'] = Timeout.default_duration()
self.context['default_test_duration'] = Timeout.default_duration()
self.context['default_connection_duration'] = Timeout.default_duration()
job = Job(job_id, socket_addr, data)
counts = {}
job.device = device
job.parameters['output_dir'] = output_dir
job.parameters['env_dut'] = env_dut
job.parameters['target'] = device.target
level_tuple = Protocol.select_all(job.parameters)
# sort the list of protocol objects by the protocol class level.
job.protocols = [item[0](job.parameters) for item in sorted(level_tuple, key=lambda level_tuple: level_tuple[1])]
pipeline = Pipeline(job=job)
self._timeouts(data, job)
# FIXME: also read permissable overrides from device config and set from job data
# FIXME: ensure that a timeout for deployment 0 does not get set as the timeout for deployment 1 if 1 is default
for action_data in data['actions']:
action_data.pop('yaml_line', None)
for name in action_data:
if type(action_data[name]) is dict: # FIXME: commands are not fully implemented & may produce a list
action_data[name].update(self._map_context_defaults())
counts.setdefault(name, 1)
if name == 'deploy' or name == 'boot' or name == 'test':
parse_action(action_data, name, device, pipeline)
elif name == 'repeat':
count = action_data[name]['count'] # first list entry must be the count dict
repeats = action_data[name]['actions']
for c_iter in xrange(count):
for repeating in repeats: # block of YAML to repeat
for repeat_action in repeating: # name of the action for this block
if repeat_action == 'yaml_line':
continue
repeating[repeat_action]['repeat-count'] = c_iter
parse_action(repeating, repeat_action, device, pipeline)
else:
# May only end up being used for submit as other actions all need strategy method objects
# select the specific action of this class for this job
action = Action.select(name)()
action.job = job
# put parameters (like rootfs_type, results_dir) into the actions.
if type(action_data[name]) == dict:
action.parameters = action_data[name]
elif name == "commands":
# FIXME
pass
elif type(action_data[name]) == list:
for param in action_data[name]:
action.parameters = param
action.summary = name
action.timeout = Timeout(action.name, self.context['default_action_duration'])
action.connection_timeout = Timeout(action.name, self.context['default_connection_duration'])
pipeline.add_action(action)
counts[name] += 1
# there's always going to need to be a finalize_process action
finalize = FinalizeAction()
pipeline.add_action(finalize)
finalize.populate(self._map_context_defaults())
data['output_dir'] = output_dir
job.set_pipeline(pipeline)
logger = logging.getLogger('dispatcher')
logger.warn("pipeline contains %x", pipeline)
if 'compatibility' in data:
try:
job_c = int(job.compatibility)
data_c = int(data['compatibility'])
except ValueError as exc:
raise JobError('invalid compatibility value: %s' % exc)
if job_c < data_c:
raise JobError('Dispatcher unable to meet job compatibility requirement. %d > %d' % (job_c, data_c))
return job