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# Copyright (c) 2018, The Jaeger Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from jaeger_client.metrics import MetricsFactory
from collections import defaultdict
from prometheus_client import Counter, Gauge
from typing import Any, Optional, Dict, Callable, DefaultDict
class PrometheusMetricsFactory(MetricsFactory):
"""
Provides metrics backed by Prometheus
"""
def __init__(self, namespace: str = '', service_name_label: Optional[str] = None) -> None:
self._cache: DefaultDict = defaultdict(object)
self._namespace = namespace
self._service_name_label = service_name_label
def _get_tag_name_list(self, tags):
if tags is None:
return []
tag_name_list = []
for key in tags.keys():
tag_name_list.append(key)
return tag_name_list
def _get_metric(self, metricType, name, tags):
if self._service_name_label:
if tags is None:
tags = {'service': self._service_name_label}
else:
tags['service'] = self._service_name_label
label_name_list = self._get_tag_name_list(tags)
cache_key = name + '@@'.join(label_name_list)
metric = self._cache.get(cache_key)
if metric is None:
metric = metricType(name=name, documentation=name,
labelnames=label_name_list, namespace=self._namespace)
self._cache[cache_key] = metric
if tags is not None and len(tags) > 0:
metric = metric.labels(**tags)
return metric
def create_counter(
self, name: str, tags: Optional[Dict[str, Any]] = None
) -> Callable[[int], None]:
counter = self._get_metric(Counter, name, tags)
def increment(value):
counter.inc(value)
return increment
def create_gauge(
self, name: str, tags: Optional[Dict[str, Any]] = None
) -> Callable[[float], None]:
gauge = self._get_metric(Gauge, name, tags)
def update(value):
gauge.set(value)
return update
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