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329 lines
12 KiB
329 lines
12 KiB
import re
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from .samples import Sample
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METRIC_TYPES = (
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'counter', 'gauge', 'summary', 'histogram',
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'gaugehistogram', 'unknown', 'info', 'stateset',
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)
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METRIC_NAME_RE = re.compile(r'^[a-zA-Z_:][a-zA-Z0-9_:]*$')
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METRIC_LABEL_NAME_RE = re.compile(r'^[a-zA-Z_][a-zA-Z0-9_]*$')
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RESERVED_METRIC_LABEL_NAME_RE = re.compile(r'^__.*$')
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class Metric(object):
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"""A single metric family and its samples.
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This is intended only for internal use by the instrumentation client.
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Custom collectors should use GaugeMetricFamily, CounterMetricFamily
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and SummaryMetricFamily instead.
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"""
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def __init__(self, name, documentation, typ, unit=''):
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if unit and not name.endswith("_" + unit):
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name += "_" + unit
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if not METRIC_NAME_RE.match(name):
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raise ValueError('Invalid metric name: ' + name)
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self.name = name
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self.documentation = documentation
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self.unit = unit
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if typ == 'untyped':
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typ = 'unknown'
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if typ not in METRIC_TYPES:
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raise ValueError('Invalid metric type: ' + typ)
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self.type = typ
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self.samples = []
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def add_sample(self, name, labels, value, timestamp=None, exemplar=None):
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"""Add a sample to the metric.
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Internal-only, do not use."""
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self.samples.append(Sample(name, labels, value, timestamp, exemplar))
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def __eq__(self, other):
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return (isinstance(other, Metric) and
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self.name == other.name and
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self.documentation == other.documentation and
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self.type == other.type and
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self.unit == other.unit and
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self.samples == other.samples)
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def __repr__(self):
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return "Metric(%s, %s, %s, %s, %s)" % (
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self.name,
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self.documentation,
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self.type,
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self.unit,
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self.samples,
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)
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class UnknownMetricFamily(Metric):
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"""A single unknown metric and its samples.
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For use by custom collectors.
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"""
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def __init__(self, name, documentation, value=None, labels=None, unit=''):
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Metric.__init__(self, name, documentation, 'unknown', unit)
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if labels is not None and value is not None:
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raise ValueError('Can only specify at most one of value and labels.')
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if labels is None:
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labels = []
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self._labelnames = tuple(labels)
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if value is not None:
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self.add_metric([], value)
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def add_metric(self, labels, value, timestamp=None):
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"""Add a metric to the metric family.
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Args:
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labels: A list of label values
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value: The value of the metric.
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"""
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self.samples.append(Sample(self.name, dict(zip(self._labelnames, labels)), value, timestamp))
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# For backward compatibility.
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UntypedMetricFamily = UnknownMetricFamily
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class CounterMetricFamily(Metric):
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"""A single counter and its samples.
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For use by custom collectors.
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"""
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def __init__(self, name, documentation, value=None, labels=None, created=None, unit=''):
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# Glue code for pre-OpenMetrics metrics.
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if name.endswith('_total'):
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name = name[:-6]
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Metric.__init__(self, name, documentation, 'counter', unit)
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if labels is not None and value is not None:
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raise ValueError('Can only specify at most one of value and labels.')
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if labels is None:
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labels = []
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self._labelnames = tuple(labels)
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if value is not None:
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self.add_metric([], value, created)
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def add_metric(self, labels, value, created=None, timestamp=None):
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"""Add a metric to the metric family.
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Args:
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labels: A list of label values
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value: The value of the metric
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created: Optional unix timestamp the child was created at.
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"""
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self.samples.append(Sample(self.name + '_total', dict(zip(self._labelnames, labels)), value, timestamp))
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if created is not None:
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self.samples.append(Sample(self.name + '_created', dict(zip(self._labelnames, labels)), created, timestamp))
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class GaugeMetricFamily(Metric):
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"""A single gauge and its samples.
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For use by custom collectors.
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"""
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def __init__(self, name, documentation, value=None, labels=None, unit=''):
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Metric.__init__(self, name, documentation, 'gauge', unit)
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if labels is not None and value is not None:
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raise ValueError('Can only specify at most one of value and labels.')
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if labels is None:
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labels = []
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self._labelnames = tuple(labels)
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if value is not None:
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self.add_metric([], value)
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def add_metric(self, labels, value, timestamp=None):
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"""Add a metric to the metric family.
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Args:
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labels: A list of label values
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value: A float
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"""
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self.samples.append(Sample(self.name, dict(zip(self._labelnames, labels)), value, timestamp))
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class SummaryMetricFamily(Metric):
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"""A single summary and its samples.
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For use by custom collectors.
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"""
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def __init__(self, name, documentation, count_value=None, sum_value=None, labels=None, unit=''):
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Metric.__init__(self, name, documentation, 'summary', unit)
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if (sum_value is None) != (count_value is None):
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raise ValueError('count_value and sum_value must be provided together.')
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if labels is not None and count_value is not None:
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raise ValueError('Can only specify at most one of value and labels.')
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if labels is None:
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labels = []
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self._labelnames = tuple(labels)
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if count_value is not None:
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self.add_metric([], count_value, sum_value)
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def add_metric(self, labels, count_value, sum_value, timestamp=None):
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"""Add a metric to the metric family.
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Args:
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labels: A list of label values
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count_value: The count value of the metric.
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sum_value: The sum value of the metric.
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"""
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self.samples.append(Sample(self.name + '_count', dict(zip(self._labelnames, labels)), count_value, timestamp))
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self.samples.append(Sample(self.name + '_sum', dict(zip(self._labelnames, labels)), sum_value, timestamp))
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class HistogramMetricFamily(Metric):
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"""A single histogram and its samples.
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For use by custom collectors.
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"""
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def __init__(self, name, documentation, buckets=None, sum_value=None, labels=None, unit=''):
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Metric.__init__(self, name, documentation, 'histogram', unit)
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if sum_value is not None and buckets is None:
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raise ValueError('sum value cannot be provided without buckets.')
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if labels is not None and buckets is not None:
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raise ValueError('Can only specify at most one of buckets and labels.')
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if labels is None:
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labels = []
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self._labelnames = tuple(labels)
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if buckets is not None:
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self.add_metric([], buckets, sum_value)
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def add_metric(self, labels, buckets, sum_value, timestamp=None):
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"""Add a metric to the metric family.
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Args:
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labels: A list of label values
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buckets: A list of lists.
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Each inner list can be a pair of bucket name and value,
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or a triple of bucket name, value, and exemplar.
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The buckets must be sorted, and +Inf present.
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sum_value: The sum value of the metric.
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"""
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for b in buckets:
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bucket, value = b[:2]
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exemplar = None
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if len(b) == 3:
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exemplar = b[2]
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self.samples.append(Sample(
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self.name + '_bucket',
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dict(list(zip(self._labelnames, labels)) + [('le', bucket)]),
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value,
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timestamp,
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exemplar,
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))
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# +Inf is last and provides the count value.
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self.samples.append(
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Sample(self.name + '_count', dict(zip(self._labelnames, labels)), buckets[-1][1], timestamp))
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# Don't iunclude sum if there's negative buckets.
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if float(buckets[0][0]) >= 0 and sum_value is not None:
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self.samples.append(
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Sample(self.name + '_sum', dict(zip(self._labelnames, labels)), sum_value, timestamp))
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class GaugeHistogramMetricFamily(Metric):
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"""A single gauge histogram and its samples.
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For use by custom collectors.
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"""
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def __init__(self, name, documentation, buckets=None, gsum_value=None, labels=None, unit=''):
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Metric.__init__(self, name, documentation, 'gaugehistogram', unit)
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if labels is not None and buckets is not None:
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raise ValueError('Can only specify at most one of buckets and labels.')
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if labels is None:
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labels = []
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self._labelnames = tuple(labels)
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if buckets is not None:
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self.add_metric([], buckets, gsum_value)
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def add_metric(self, labels, buckets, gsum_value, timestamp=None):
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"""Add a metric to the metric family.
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Args:
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labels: A list of label values
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buckets: A list of pairs of bucket names and values.
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The buckets must be sorted, and +Inf present.
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gsum_value: The sum value of the metric.
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"""
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for bucket, value in buckets:
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self.samples.append(Sample(
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self.name + '_bucket',
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dict(list(zip(self._labelnames, labels)) + [('le', bucket)]),
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value, timestamp))
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# +Inf is last and provides the count value.
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self.samples.extend([
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Sample(self.name + '_gcount', dict(zip(self._labelnames, labels)), buckets[-1][1], timestamp),
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Sample(self.name + '_gsum', dict(zip(self._labelnames, labels)), gsum_value, timestamp),
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])
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class InfoMetricFamily(Metric):
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"""A single info and its samples.
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For use by custom collectors.
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"""
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def __init__(self, name, documentation, value=None, labels=None):
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Metric.__init__(self, name, documentation, 'info')
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if labels is not None and value is not None:
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raise ValueError('Can only specify at most one of value and labels.')
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if labels is None:
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labels = []
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self._labelnames = tuple(labels)
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if value is not None:
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self.add_metric([], value)
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def add_metric(self, labels, value, timestamp=None):
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"""Add a metric to the metric family.
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Args:
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labels: A list of label values
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value: A dict of labels
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"""
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self.samples.append(Sample(
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self.name + '_info',
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dict(dict(zip(self._labelnames, labels)), **value),
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1,
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timestamp,
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))
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class StateSetMetricFamily(Metric):
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"""A single stateset and its samples.
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For use by custom collectors.
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"""
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def __init__(self, name, documentation, value=None, labels=None):
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Metric.__init__(self, name, documentation, 'stateset')
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if labels is not None and value is not None:
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raise ValueError('Can only specify at most one of value and labels.')
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if labels is None:
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labels = []
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self._labelnames = tuple(labels)
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if value is not None:
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self.add_metric([], value)
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def add_metric(self, labels, value, timestamp=None):
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"""Add a metric to the metric family.
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Args:
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labels: A list of label values
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value: A dict of string state names to booleans
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"""
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labels = tuple(labels)
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for state, enabled in sorted(value.items()):
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v = (1 if enabled else 0)
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self.samples.append(Sample(
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self.name,
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dict(zip(self._labelnames + (self.name,), labels + (state,))),
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v,
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timestamp,
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))
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