def parse(self, content, device, job_id, logger, dispatcher_config, env_dut=None):
data = yaml.safe_load(content)
job = Job(job_id, data, logger)
test_counts = {}
job.device = device
job.parameters["env_dut"] = env_dut
# Load the dispatcher config
job.parameters["dispatcher"] = {}
if dispatcher_config is not None:
config = yaml.safe_load(dispatcher_config)
if isinstance(config, dict):
job.parameters["dispatcher"] = config
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_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")
connection_namespace = test_parameters.get(
"connection-namespace", namespace
)
if namespace in job.test_info:
job.test_info[namespace].append(
{"class": test_type, "parameters": test_parameters}
)
else:
job.test_info.update(
{namespace: [{"class": test_type, "parameters": test_parameters}]}
)
if namespace != connection_namespace:
job.test_info.update(
{
connection_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"]:
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":
action = parse_action(
action_data,
name,
device,
pipeline,
job.test_info,
test_counts[namespace],
)
if name == "test" and action.needs_overlay():
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
repeating[repeat_action]["repeat-count"] = c_iter
namespace = repeating[repeat_action].setdefault(
"namespace", "common"
)
test_counts.setdefault(namespace, 1)
action = parse_action(
repeating,
repeat_action,
device,
pipeline,
job.test_info,
test_counts[namespace],
)
if repeat_action == "test" and action.needs_overlay():
test_counts[namespace] += 1
elif name == "command":
action = CommandAction()
action.parameters = action_data[name]
pipeline.add_action(action)
else:
raise JobError("Unknown action name '%s'" % name)
# there's always going to need to be a finalize_process action
finalize = FinalizeAction()
pipeline.add_action(finalize)
finalize.populate(None)
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, logger, dispatcher_config,
env_dut=None):
self.loader = yaml.SafeLoader(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, logger)
test_counts = {}
job.device = device
job.parameters['env_dut'] = env_dut
# Load the dispatcher config
job.parameters['dispatcher'] = {}
if dispatcher_config is not None:
config = yaml.safe_load(dispatcher_config)
if isinstance(config, dict):
job.parameters['dispatcher'] = config
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')
connection_namespace = test_parameters.get('connection-namespace', namespace)
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}]})
if namespace != connection_namespace:
test_info.update({connection_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 '%s'" % name)
# there's always going to need to be a finalize_process action
finalize = FinalizeAction()
pipeline.add_action(finalize)
finalize.populate(None)
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
