def makeTempTuningModel(self, text):
"""
Create a temporary file instance and returns a TuningModel with it.
"""
self.f = makeTempFile(text)
model = TuningModel(filename=self.f.name)
return model
def setUp(self):
CommonTestCase.setUp(self)
self.srv = Server(Utils.HOSTNAME, ["%s@tcp" % Utils.HOSTNAME],
hdlr=self.eh)
self.disk = Utils.make_disk()
self.tgt = self.fs.new_target(self.srv, 'mgt', 0, self.disk.name)
self.model = TuningModel()
self.model.create_parameter('/dev/null', 1, node_type_list=['mgs'])
def __init__(self, filename):
self.backend = None
self.xmf_path = None
self.model = Model()
try:
self.model.load(filename)
except IOError:
raise ModelFileIOError("Could not read %s" % filename)
# Set nodes to nids mapping using the NidMap helper class
self.nid_map = NidMap.fromlist(self.get('nid_map'))
# Initialize the tuning model to None if no special tuning configuration
# is provided
self.tuning_model = TuningModel()
def __init__(self, filename):
self.backend = None
self.xmf_path = None
self.model = Model()
try:
self.model.load(filename)
except IOError:
raise ModelFileIOError("Could not read %s" % filename)
# Model expands nid_map automatically, just iterate other them
self.nid_map = {}
for elem in self.get('nid_map'):
self.nid_map.setdefault(elem['nodes'], []).append(elem['nids'])
# Initialize the tuning model to None if no special tuning configuration
# is provided
self.tuning_model = TuningModel()
def get_tuning(cls, fs_conf, comps):
"""
Tune class method: get TuningModel for a fs configuration.
"""
# XXX: If no tuning.conf is defined in configuration
# we still create a tuning model which will be used for quota.
# Be carefull that this could be very confusing for users, who
# can think tuning will be applied but is not.
tuning = TuningModel()
# Is the tuning configuration file name specified?
if Globals().get_tuning_file():
# Load the tuning configuration file
tuning.parse(filename=Globals().get_tuning_file())
# Add the quota tuning parameters to the tuning model.
if Globals().lustre_version_is_smaller('2.4'):
cls._add_quota_tuning(tuning, fs_conf)
cls._add_active_tuning(tuning, comps)
return tuning
def testExampleFile(self):
"""test example tuning"""
m = TuningModel(filename="../conf/tuning.conf.example")
m.parse()
