def __init__(self, Environment, randseed=None):
self.Env = EnvFactory().getInstance()
self.templates = PatternSelector(self.Env["Name"])
self.__InitialConditions()
self.logger = LogFactory()
self.TestLoggingLevel = 0
self.data = {}
self.name = self.Env["Name"]
self.rsh = RemoteFactory().getInstance()
self.ShouldBeStatus = {}
self.ns = NodeStatus(self.Env)
self.OurNode = os.uname()[1].lower()
self.__instance_errorstoignore = []
self.fastfail = 0
self.cib_installed = 0
self.config = None
self.cluster_monitor = 0
self.use_short_names = 1
if self.Env["DoBSC"]:
del self.templates["Pat:They_stopped"]
self._finalConditions()
self.check_transitions = 0
self.check_elections = 0
self.CIBsync = {}
self.CibFactory = ConfigFactory(self)
self.cib = self.CibFactory.createConfig(self.Env["Schema"])
def __init__(self, Environment, randseed=None):
self.Env = EnvFactory().getInstance()
self.templates = PatternSelector(self.Env["Name"])
self.__InitialConditions()
self.logger = LogFactory()
self.TestLoggingLevel=0
self.data = {}
self.name = self.Env["Name"]
self.rsh = RemoteFactory().getInstance()
self.ShouldBeStatus={}
self.ns = NodeStatus(self.Env)
self.OurNode = os.uname()[1].lower()
self.__instance_errorstoignore = []
def __init__(self, args=None):
self.Env = EnvFactory().getInstance(args)
self.Scenario = None
self.logger = LogFactory()
self.rsh = RemoteFactory().getInstance()
class CtsLab:
'''This class defines the Lab Environment for the Cluster Test System.
It defines those things which are expected to change from test
environment to test environment for the same cluster manager.
It is where you define the set of nodes that are in your test lab
what kind of reset mechanism you use, etc.
This class is derived from a UserDict because we hold many
different parameters of different kinds, and this provides
provide a uniform and extensible interface useful for any kind of
communication between the user/administrator/tester and CTS.
At this point in time, it is the intent of this class to model static
configuration and/or environmental data about the environment which
doesn't change as the tests proceed.
Well-known names (keys) are an important concept in this class.
The HasMinimalKeys member function knows the minimal set of
well-known names for the class.
The following names are standard (well-known) at this time:
nodes An array of the nodes in the cluster
reset A ResetMechanism object
logger An array of objects that log strings...
CMclass The type of ClusterManager we are running
(This is a class object, not a class instance)
RandSeed Random seed. It is a triple of bytes. (optional)
The CTS code ignores names it doesn't know about/need.
The individual tests have access to this information, and it is
perfectly acceptable to provide hints, tweaks, fine-tuning
directions or other information to the tests through this mechanism.
'''
def __init__(self, args=None):
self.Env = EnvFactory().getInstance(args)
self.Scenario = None
self.logger = LogFactory()
self.rsh = RemoteFactory().getInstance()
def dump(self):
self.Env.dump()
def has_key(self, key):
return key in self.Env.keys()
def __getitem__(self, key):
return self.Env[key]
def __setitem__(self, key, value):
self.Env[key] = value
def run(self, Scenario, Iterations):
if not Scenario:
self.logger.log("No scenario was defined")
return 1
self.logger.log("Cluster nodes: ")
for node in self.Env["nodes"]:
self.logger.log(" * %s" % (node))
if not Scenario.SetUp():
return 1
try :
Scenario.run(Iterations)
except :
self.logger.log("Exception by %s" % sys.exc_info()[0])
self.logger.traceback(traceback)
Scenario.summarize()
Scenario.TearDown()
return 1
#ClusterManager.oprofileSave(Iterations)
Scenario.TearDown()
Scenario.summarize()
if Scenario.Stats["failure"] > 0:
return Scenario.Stats["failure"]
elif Scenario.Stats["success"] != Iterations:
self.logger.log("No failure count but success != requested iterations")
return 1
return 0
def __CheckNode(self, node):
"Raise a ValueError if the given node isn't valid"
if not self.IsValidNode(node):
raise ValueError("Invalid node [%s] in CheckNode" % node)
def __init__(self, args=None):
self.Env = EnvFactory().getInstance(args)
self.Scenario = None
self.logger = LogFactory()
self.rsh = RemoteFactory().getInstance()
class CtsLab:
'''This class defines the Lab Environment for the Cluster Test System.
It defines those things which are expected to change from test
environment to test environment for the same cluster manager.
It is where you define the set of nodes that are in your test lab
what kind of reset mechanism you use, etc.
This class is derived from a UserDict because we hold many
different parameters of different kinds, and this provides
provide a uniform and extensible interface useful for any kind of
communication between the user/administrator/tester and CTS.
At this point in time, it is the intent of this class to model static
configuration and/or environmental data about the environment which
doesn't change as the tests proceed.
Well-known names (keys) are an important concept in this class.
The HasMinimalKeys member function knows the minimal set of
well-known names for the class.
The following names are standard (well-known) at this time:
nodes An array of the nodes in the cluster
reset A ResetMechanism object
logger An array of objects that log strings...
CMclass The type of ClusterManager we are running
(This is a class object, not a class instance)
RandSeed Random seed. It is a triple of bytes. (optional)
The CTS code ignores names it doesn't know about/need.
The individual tests have access to this information, and it is
perfectly acceptable to provide hints, tweaks, fine-tuning
directions or other information to the tests through this mechanism.
'''
def __init__(self, args=None):
self.Env = EnvFactory().getInstance(args)
self.Scenario = None
self.logger = LogFactory()
self.rsh = RemoteFactory().getInstance()
def dump(self):
self.Env.dump()
def has_key(self, key):
return key in self.Env.keys()
def __getitem__(self, key):
return self.Env[key]
def __setitem__(self, key, value):
self.Env[key] = value
def run(self, Scenario, Iterations):
if not Scenario:
self.logger.log("No scenario was defined")
return 1
self.logger.log("Cluster nodes: ")
for node in self.Env["nodes"]:
self.logger.log(" * %s" % (node))
if not Scenario.SetUp():
return 1
try :
Scenario.run(Iterations)
except :
self.logger.log("Exception by %s" % sys.exc_info()[0])
self.logger.traceback(traceback)
Scenario.summarize()
Scenario.TearDown()
return 1
#ClusterManager.oprofileSave(Iterations)
Scenario.TearDown()
Scenario.summarize()
if Scenario.Stats["failure"] > 0:
return Scenario.Stats["failure"]
elif Scenario.Stats["success"] != Iterations:
self.logger.log("No failure count but success != requested iterations")
return 1
return 0
def __CheckNode(self, node):
"Raise a ValueError if the given node isn't valid"
if not self.IsValidNode(node):
raise ValueError("Invalid node [%s] in CheckNode" % node)
