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# (C) Copyright 2014-2016 Hewlett Packard Enterprise Development LP
#
# 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.
#
# Copyright (c) 2012, Datadog <info@datadoghq.com>
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
# * Neither the name of the Datadog nor the
# names of its contributors may be used to endorse or promote products
# derived from this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL DATADOG BE LIABLE FOR ANY
# DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
# ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
"""Monasca-Statsd is a Python client for Statsd that adds dimensions.
"""
from monascastatsd import common
from monascastatsd.connection import Connection
from monascastatsd.counter import Counter
from monascastatsd.gauge import Gauge
from monascastatsd.timer import Timer
class Client(object):
def __init__(self, name=None, host='localhost', port=8125,
connection=None, max_buffer_size=50, dimensions=None):
"""Initialize a Client object.
>>> monascastatsd = MonascaStatsd()
:name: the name for this client. Everything sent by this client
will be prefixed by name
:param host: the host of the MonascaStatsd server.
:param port: the port of the MonascaStatsd server.
:param max_buffer_size: Maximum number of metric to buffer before
sending to the server if sending metrics in batch
"""
self._max_buffer_size = max_buffer_size
self._set_connection(connection, host, port)
self._dimensions = dimensions
self._client_name = name
def _set_connection(self, connection, host, port):
if connection is None:
self.connection = Connection(host=host,
port=port,
max_buffer_size=self._max_buffer_size)
else:
self.connection = connection
def get_counter(self, name, connection=None, dimensions=None):
"""Gets a Counter object.
"""
return self._get_statsd_object_by_type(Counter, name, connection,
dimensions)
def get_gauge(self, name=None, connection=None, dimensions=None):
"""Gets a Gauge object.
"""
return self._get_statsd_object_by_type(Gauge, name, connection,
dimensions)
def get_timer(self, name=None, connection=None, dimensions=None):
"""Gets a Timer object.
"""
return self._get_statsd_object_by_type(Timer, name, connection,
dimensions)
def _get_statsd_object_by_type(self, object_type, name, connection,
dimensions):
return object_type(name=self._update_metric_name(name),
connection=connection or self.connection,
dimensions=self._update_dimensions(dimensions))
def _update_metric_name(self, metric_name):
"""Update the metric name with the client
name that was passed in on instantiation.
"""
return common.update_name(self._client_name, metric_name)
def _update_dimensions(self, dimensions):
"""Update the dimensions list with the default
dimensions that were passed in on instantiation.
"""
return common.update_dimensions(self._dimensions, dimensions)
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