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Add some comments to metrics classes
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commit
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@ -24,8 +24,16 @@ def map_concat(func, items):
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class BaseMetric(object):
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class BaseMetric(object):
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"""Base class for metrics which report a single value per label set
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"""
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def __init__(self, name, labels=[]):
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def __init__(self, name, labels=[]):
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"""
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Args:
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name (str): principal name for this metric
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labels (list(str)): names of the labels which will be reported
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for this metric
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"""
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self.name = name
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self.name = name
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self.labels = labels # OK not to clone as we never write it
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self.labels = labels # OK not to clone as we never write it
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@ -36,7 +44,7 @@ class BaseMetric(object):
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return not len(self.labels)
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return not len(self.labels)
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def _render_labelvalue(self, value):
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def _render_labelvalue(self, value):
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# TODO: some kind of value escape
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# TODO: escape backslashes, quotes and newlines
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return '"%s"' % (value)
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return '"%s"' % (value)
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def _render_key(self, values):
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def _render_key(self, values):
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@ -47,6 +55,20 @@ class BaseMetric(object):
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for k, v in zip(self.labels, values)])
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for k, v in zip(self.labels, values)])
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)
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)
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def render(self):
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"""Render this metric
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Each metric is rendered as:
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name{label1="val1",label2="val2"} value
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https://prometheus.io/docs/instrumenting/exposition_formats/#text-format-details
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Returns:
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iterable[str]: rendered metrics
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"""
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raise NotImplementedError()
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class CounterMetric(BaseMetric):
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class CounterMetric(BaseMetric):
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"""The simplest kind of metric; one that stores a monotonically-increasing
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"""The simplest kind of metric; one that stores a monotonically-increasing
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@ -62,6 +84,10 @@ class CounterMetric(BaseMetric):
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def __init__(self, *args, **kwargs):
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def __init__(self, *args, **kwargs):
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super(CounterMetric, self).__init__(*args, **kwargs)
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super(CounterMetric, self).__init__(*args, **kwargs)
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# dict[list[str]]: value for each set of label values. the keys are the
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# label values, in the same order as the labels in self.labels.
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#
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# (if the metric is a scalar, the (single) key is the empty list).
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self.counts = {}
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self.counts = {}
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# Scalar metrics are never empty
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# Scalar metrics are never empty
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