def __init__(self, metric_type, infile_list, hostname, outdir, resource_path, label, ts_start, ts_end, rule_strings,
important_sub_metrics, **other_options):
metric_type = self.extract_metric_name(metric_type)
Metric.__init__(self, metric_type, infile_list, hostname, outdir, resource_path, label, ts_start, ts_end, rule_strings,
important_sub_metrics)
if not self.important_sub_metrics and self.metric_type in important_sub_metrics_import.keys():
self.important_sub_metrics = important_sub_metrics_import[self.metric_type]
self.options = None
self.devices = None
for (key, val) in other_options.iteritems():
setattr(self, key, val.split())
def __init__(self, metric_type, infile_list, hostname, aggr_metrics, outdir, resource_path, label, ts_start, ts_end, rule_strings,
important_sub_metrics, anomaly_detection_metrics, **other_options):
Metric.__init__(self, metric_type, infile_list, hostname, aggr_metrics, outdir, resource_path, label, ts_start, ts_end, rule_strings,
important_sub_metrics, anomaly_detection_metrics)
if not self.important_sub_metrics and self.metric_type in important_sub_metrics_import.keys():
self.important_sub_metrics = important_sub_metrics_import[self.metric_type]
self.options = None
self.CPUS = None
for (key, val) in other_options.iteritems():
setattr(self, key, val.split())
def __init__(self, metric_type, infile_list, hostname, outdir, resource_path, label, ts_start, ts_end, rule_strings,
important_sub_metrics, **other_options):
metric_type = self.extract_metric_name(metric_type)
Metric.__init__(self, metric_type, infile_list, hostname, outdir, resource_path, label, ts_start, ts_end, rule_strings,
important_sub_metrics)
if not self.important_sub_metrics and self.metric_type in important_sub_metrics_import.keys():
self.important_sub_metrics = important_sub_metrics_import[self.metric_type]
self.options = None
self.devices = None
for (key, val) in other_options.iteritems():
setattr(self, key, val.split())
def __init__(self, metric_type, infile_list, hostname, aggr_metrics,
outdir, resource_path, label, ts_start, ts_end, rule_strings,
important_sub_metrics, anomaly_detection_metrics,
**other_options):
Metric.__init__(self, metric_type, infile_list, hostname, aggr_metrics,
outdir, resource_path, label, ts_start, ts_end,
rule_strings, important_sub_metrics,
anomaly_detection_metrics)
if not self.important_sub_metrics and self.metric_type in important_sub_metrics_import.keys(
):
self.important_sub_metrics = important_sub_metrics_import[
self.metric_type]
self.options = None
self.CPUS = None
for (key, val) in other_options.iteritems():
setattr(self, key, val.split())