blob: 47e2355cadb764160e9a7f1e4ec4167e03e4dfc6 [file] [log] [blame]
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you 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 __future__ import annotations
import logging
import socket
from typing import TYPE_CHECKING, Callable
from airflow.configuration import conf
from airflow.metrics import datadog_logger, statsd_logger
from airflow.metrics.base_stats_logger import NoStatsLogger, StatsLogger
log = logging.getLogger(__name__)
class _Stats(type):
factory: Callable
instance: StatsLogger | NoStatsLogger | None = None
def __getattr__(cls, name: str) -> str:
if not cls.instance:
try:
cls.instance = cls.factory()
except (socket.gaierror, ImportError) as e:
log.error("Could not configure StatsClient: %s, using NoStatsLogger instead.", e)
cls.instance = NoStatsLogger()
return getattr(cls.instance, name)
def __init__(cls, *args, **kwargs) -> None:
super().__init__(cls)
if not hasattr(cls.__class__, "factory"):
is_datadog_enabled_defined = conf.has_option("metrics", "statsd_datadog_enabled")
if is_datadog_enabled_defined and conf.getboolean("metrics", "statsd_datadog_enabled"):
cls.__class__.factory = datadog_logger.get_dogstatsd_logger
elif conf.getboolean("metrics", "statsd_on"):
cls.__class__.factory = statsd_logger.get_statsd_logger
else:
cls.__class__.factory = NoStatsLogger
@classmethod
def get_constant_tags(cls) -> list[str]:
"""Get constant DataDog tags to add to all stats."""
tags: list[str] = []
tags_in_string = conf.get("metrics", "statsd_datadog_tags", fallback=None)
if tags_in_string is None or tags_in_string == "":
return tags
else:
for key_value in tags_in_string.split(","):
tags.append(key_value)
return tags
if TYPE_CHECKING:
Stats: StatsLogger
else:
class Stats(metaclass=_Stats):
"""Empty class for Stats - we use metaclass to inject the right one."""