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"""
User-facing classes for Metrics API.
The classes in this file allow users to define and use metrics to be collected
and displayed as part of their pipeline execution.
- Metrics - This class lets pipeline and transform writers create and access
metric objects such as counters, distributions, etc.
"""
# pytype: skip-file
from __future__ import absolute_import
import inspect
from builtins import object
from apache_beam.metrics import cells
from apache_beam.metrics.execution import MetricUpdater
from apache_beam.metrics.metricbase import Counter
from apache_beam.metrics.metricbase import Distribution
from apache_beam.metrics.metricbase import Gauge
from apache_beam.metrics.metricbase import MetricName
__all__ = ['Metrics', 'MetricsFilter']
[docs]class Metrics(object):
"""Lets users create/access metric objects during pipeline execution."""
[docs] @staticmethod
def get_namespace(namespace):
if inspect.isclass(namespace):
return '{}.{}'.format(namespace.__module__, namespace.__name__)
elif isinstance(namespace, str):
return namespace
else:
raise ValueError('Unknown namespace type')
[docs] @staticmethod
def counter(namespace, name):
"""Obtains or creates a Counter metric.
Args:
namespace: A class or string that gives the namespace to a metric
name: A string that gives a unique name to a metric
Returns:
A Counter object.
"""
namespace = Metrics.get_namespace(namespace)
return Metrics.DelegatingCounter(MetricName(namespace, name))
[docs] @staticmethod
def distribution(namespace, name):
"""Obtains or creates a Distribution metric.
Distribution metrics are restricted to integer-only distributions.
Args:
namespace: A class or string that gives the namespace to a metric
name: A string that gives a unique name to a metric
Returns:
A Distribution object.
"""
namespace = Metrics.get_namespace(namespace)
return Metrics.DelegatingDistribution(MetricName(namespace, name))
[docs] @staticmethod
def gauge(namespace, name):
"""Obtains or creates a Gauge metric.
Gauge metrics are restricted to integer-only values.
Args:
namespace: A class or string that gives the namespace to a metric
name: A string that gives a unique name to a metric
Returns:
A Distribution object.
"""
namespace = Metrics.get_namespace(namespace)
return Metrics.DelegatingGauge(MetricName(namespace, name))
[docs] class DelegatingCounter(Counter):
"""Metrics Counter that Delegates functionality to MetricsEnvironment."""
def __init__(self, metric_name):
super(Metrics.DelegatingCounter, self).__init__()
self.metric_name = metric_name
self.inc = MetricUpdater(cells.CounterCell, metric_name, default=1)
[docs] class DelegatingDistribution(Distribution):
"""Metrics Distribution Delegates functionality to MetricsEnvironment."""
def __init__(self, metric_name):
super(Metrics.DelegatingDistribution, self).__init__()
self.metric_name = metric_name
self.update = MetricUpdater(cells.DistributionCell, metric_name)
[docs] class DelegatingGauge(Gauge):
"""Metrics Gauge that Delegates functionality to MetricsEnvironment."""
def __init__(self, metric_name):
super(Metrics.DelegatingGauge, self).__init__()
self.metric_name = metric_name
self.set = MetricUpdater(cells.GaugeCell, metric_name)
class MetricResults(object):
COUNTERS = "counters"
DISTRIBUTIONS = "distributions"
GAUGES = "gauges"
@staticmethod
def _matches_name(filter, metric_key):
if not filter.names and not filter.namespaces:
return True
if ((filter.namespaces and metric_key.metric.namespace in filter.namespaces)
or (filter.names and metric_key.metric.name in filter.names)):
return True
return False
@staticmethod
def _is_sub_list(needle, haystack):
"""True iff `needle` is a sub-list of `haystack` (i.e. a contiguous slice
of `haystack` exactly matches `needle`"""
needle_len = len(needle)
haystack_len = len(haystack)
for i in range(0, haystack_len - needle_len + 1):
if haystack[i:i + needle_len] == needle:
return True
return False
@staticmethod
def _matches_sub_path(actual_scope, filter_scope):
"""True iff the '/'-delimited pieces of filter_scope exist as a sub-list
of the '/'-delimited pieces of actual_scope"""
return MetricResults._is_sub_list(
filter_scope.split('/'), actual_scope.split('/'))
@staticmethod
def _matches_scope(filter, metric_key):
if not filter.steps:
return True
for step in filter.steps:
if MetricResults._matches_sub_path(metric_key.step, step):
return True
return False
@staticmethod
def matches(filter, metric_key):
if filter is None:
return True
if (MetricResults._matches_name(filter, metric_key) and
MetricResults._matches_scope(filter, metric_key)):
return True
return False
def query(self, filter=None):
"""Queries the runner for existing user metrics that match the filter.
It should return a dictionary, with lists of each kind of metric, and
each list contains the corresponding kind of MetricResult. Like so:
{
"counters": [MetricResult(counter_key, committed, attempted), ...],
"distributions": [MetricResult(dist_key, committed, attempted), ...],
"gauges": [] // Empty list if nothing matched the filter.
}
The committed / attempted values are DistributionResult / GaugeResult / int
objects.
"""
raise NotImplementedError
[docs]class MetricsFilter(object):
"""Simple object to filter metrics results.
This class is experimental. No backwards-compatibility guarantees.
If filters by matching a result's step-namespace-name with three internal
sets. No execution/matching logic is added to this object, so that it may
be used to construct arguments as an RPC request. It is left for runners
to implement matching logic by themselves.
"""
def __init__(self):
self._names = set()
self._namespaces = set()
self._steps = set()
@property
def steps(self):
return frozenset(self._steps)
@property
def names(self):
return frozenset(self._names)
@property
def namespaces(self):
return frozenset(self._namespaces)
[docs] def with_name(self, name):
return self.with_names([name])
[docs] def with_names(self, names):
if isinstance(names, str):
raise ValueError('Names must be a collection, not a string')
self._names.update(names)
return self
[docs] def with_namespace(self, namespace):
return self.with_namespaces([namespace])
[docs] def with_namespaces(self, namespaces):
if isinstance(namespaces, str):
raise ValueError('Namespaces must be an iterable, not a string')
self._namespaces.update([Metrics.get_namespace(ns) for ns in namespaces])
return self
[docs] def with_step(self, step):
return self.with_steps([step])
[docs] def with_steps(self, steps):
if isinstance(steps, str):
raise ValueError('Steps must be an iterable, not a string')
self._steps.update(steps)
return self