def setUp(self):
self.compression = 500
self.trials = 100
self.datapoints = 100000
self.quantiles = [
0.0001, 0.001, 0.01, 0.1, 0.25, 0.5, 0.75, 0.9, 0.99, 0.999, 0.9999
]
self.md = MergeDigest(self.compression)
def __init__(self, config, logger, options):
super(FlowDifference, self).__init__(config, logger, resource={'metric_sink': 'RedisSink',
'output_sink': 'GraphiteSink'})
self.namespace = 'FlowDifference'
self.service = options['service']
self.params = options['params']
self.error_types = ['norm']
self.tdigest = MergeDigest()
self.tdigest_key = 'md_flow:%s' % (self.service)
self.error_evals = {
'tukey': eval_tukey,
'quantile': eval_quantile
}
def __init__(self, config, logger, options):
super(SeasonalDecomposition, self).__init__(config,
logger,
resource={
'metric_sink':
'RedisSink',
'output_sink':
'GraphiteSink'
})
self.namespace = 'SeasonalDecomposition'
self.service = options['service']
self.params = options['params']
self.tdigest_key = 'md:%s' % self.service
self.tdigest = MergeDigest()
self.error_eval = {'tukey': eval_tukey, 'quantile': eval_quantile}
def __init__(self, config, logger, options):
super(SeasonalDecompositionEnsemble, self).__init__(config,
logger,
resource={
'metric_sink':
'RedisSink',
'output_sink':
'GraphiteSink'
})
self.namespace = 'SeasonalDecompositionEnsemble'
self.service = options['service']
self.params = options['params']
self.error_types = ['norm', 'abs']
self.tdigests = {}
self.tdigest_keys = {}
for error_type in self.error_types:
self.tdigests[error_type] = MergeDigest()
self.tdigest_keys[error_type] = 'md_ensemble:%s::%s' % (
self.service, error_type)
self.error_evals = {'tukey': eval_tukey, 'quantile': eval_quantile}
