def __init__(self, autostop, param_str): AbstractCriteria.__init__(self) self.seconds_count = 0 self.autostop = autostop self.threads_limit = 1 level_str = param_str.split(',')[0].strip() if level_str[-1:] == '%': self.level = float(level_str[:-1]) / 100 self.is_relative = True else: self.level = int(level_str) self.is_relative = False self.seconds_limit = tankcore.expand_to_seconds( param_str.split(',')[1]) try: phantom = autostop.core.get_plugin_of_type(PhantomPlugin) info = phantom.get_info() if info: self.threads_limit = info.instances if not self.threads_limit: raise ValueError( "Cannot create 'instances' criteria with zero instances limit") except KeyError: self.log.warning( "No phantom module, 'instances' autostop disabled")
def __init__(self, autostop, param_str): AbstractCriteria.__init__(self) self.seconds_count = 0 self.autostop = autostop level_str = param_str.split(',')[0].strip() if level_str[-1:] == '%': self.level = float(level_str[:-1]) / 100 self.is_relative = True else: self.level = int(level_str) self.is_relative = False self.seconds_limit = tankcore.expand_to_seconds( param_str.split(',')[1]) try: phantom = autostop.core.get_plugin_of_type(PhantomPlugin) self.threads_limit = phantom.phantom.instances if not self.threads_limit: raise ValueError( "Cannot create 'instances' criteria with zero instances limit" ) except KeyError: self.log.warning( "No phantom module, 'instances' autostop disabled")
def __init__(self, autostop, param_str): AbstractCriteria.__init__(self) param = param_str.split(',') self.seconds_count = 0 self.rt_limit = tankcore.expand_to_milliseconds(param[0]) self.frac = param[1][:-1] self.seconds_limit = tankcore.expand_to_seconds(param[2]) self.autostop = autostop self.data = deque()
def __init__(self, autostop, param_str): AbstractCriteria.__init__(self) param = param_str.split(',') self.seconds_count = 0 self.rt_limit = tankcore.expand_to_milliseconds(param[0]) self.frac = param[1][:-1] self.seconds_limit = tankcore.expand_to_seconds(param[2]) self.autostop = autostop self.data = deque() self.second_window = deque() self.real_frac = float()
def __init__(self, autostop, param_str): AbstractCriteria.__init__(self) self.seconds_count = 0 self.codes_mask = param_str.split(',')[0].lower() self.codes_regex = re.compile(self.codes_mask.replace("x", '.')) self.autostop = autostop self.tangents = deque() self.second_window = deque() self.total_tan = float() self.tangents.append(0) self.last = 0 self.seconds_limit = tankcore.expand_to_seconds(param_str.split(',')[1]) self.measurement_error = float()
def __init__(self, autostop, param_str): AbstractCriteria.__init__(self) self.autostop = autostop self.data = deque() self.second_window = deque() params = param_str.split(',') # qunatile in ms self.quantile = tankcore.expand_to_milliseconds(params[0]) # width of time in seconds self.width = tankcore.expand_to_seconds(params[1]) # max height of deviations in percents self.height = float(params[2][0:-1]) # last deviation in percents self.deviation = float()
def __init__(self, autostop, param_str): AbstractCriteria.__init__(self) self.autostop = autostop self.data = deque() self.second_window = deque() params = param_str.split(',') # qunatile in ms self.timing = tankcore.expand_to_milliseconds(params[0]) # width of time in seconds self.width = tankcore.expand_to_seconds(params[1]) # max height of deviations in percents self.height = float(params[2].split('%')[0]) # last deviation in percents self.deviation = float()
def __init__(self, autostop, param_str): AbstractCriteria.__init__(self) self.seconds_count = 0 self.codes_mask = param_str.split(',')[0].lower() self.codes_regex = re.compile(self.codes_mask.replace("x", '.')) self.autostop = autostop self.data = deque() level_str = param_str.split(',')[1].strip() if level_str[-1:] == '%': self.level = float(level_str[:-1]) self.is_relative = True else: self.level = int(level_str) self.is_relative = False self.seconds_limit = tankcore.expand_to_seconds(param_str.split(',')[2])
def __init__(self, autostop, param_str): AbstractCriteria.__init__(self) self.seconds_count = 0 self.codes_mask = param_str.split(',')[0].lower() self.codes_regex = re.compile(self.codes_mask.replace("x", '.')) self.autostop = autostop self.data = deque() self.second_window = deque() level_str = param_str.split(',')[1].strip() if level_str[-1:] == '%': self.level = float(level_str[:-1]) self.is_relative = True else: self.level = int(level_str) self.is_relative = False self.seconds_limit = tankcore.expand_to_seconds(param_str.split(',')[2])
def __init__(self, autostop, param_str): AbstractCriteria.__init__(self) MonitoringDataDecoder.__init__(self) try: self.mon = autostop.core.get_plugin_of_type(MonitoringPlugin) self.mon.monitoring.add_listener(self) except KeyError: self.log.warning("No monitoring module, mon autostop disabled") self.triggered = False self.autostop = autostop self.host = param_str.split(",")[0].strip() self.metric = param_str.split(",")[1].strip() self.value_limit = float(param_str.split(",")[2]) self.seconds_limit = tankcore.expand_to_seconds(param_str.split(",")[3]) self.last_second = None self.seconds_count = 0
def __init__(self, autostop, param_str): AbstractCriteria.__init__(self) MonitoringDataDecoder.__init__(self) try: self.mon = autostop.core.get_plugin_of_type(MonitoringPlugin) self.mon.monitoring.add_listener(self) except KeyError: self.log.warning("No monitoring module, mon autostop disabled") self.triggered = False self.autostop = autostop self.host = param_str.split(',')[0].strip() self.metric = param_str.split(',')[1].strip() self.value_limit = float(param_str.split(',')[2]) self.seconds_limit = tankcore.expand_to_seconds( param_str.split(',')[3]) self.last_second = None self.seconds_count = 0