155 lines
5.6 KiB
Python
155 lines
5.6 KiB
Python
# (C) Copyright 2014-2016 Hewlett Packard Enterprise Development LP
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# Copyright 2016 FUJITSU LIMITED
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
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# implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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# Copyright (c) 2012, Datadog <info@datadoghq.com>
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# All rights reserved.
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#
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# Redistribution and use in source and binary forms, with or without
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# modification, are permitted provided that the following conditions are met:
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# * Redistributions of source code must retain the above copyright
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# notice, this list of conditions and the following disclaimer.
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# * Redistributions in binary form must reproduce the above copyright
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# notice, this list of conditions and the following disclaimer in the
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# documentation and/or other materials provided with the distribution.
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# * Neither the name of the Datadog nor the
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# names of its contributors may be used to endorse or promote products
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# derived from this software without specific prior written permission.
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#
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
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# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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# DISCLAIMED. IN NO EVENT SHALL DATADOG BE LIABLE FOR ANY
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# DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
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# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
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# ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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import six
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import logging
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import random
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import socket
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logging.basicConfig()
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log = logging.getLogger(__name__)
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class Connection(object):
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def __init__(self, host='localhost', port=8125, max_buffer_size=50):
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"""Initialize a Connection object.
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>>> monascastatsd = MonascaStatsd()
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:name: the name for this client. Everything sent by this client
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will be prefixed by name
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:param host: the host of the MonascaStatsd server.
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:param port: the port of the MonascaStatsd server.
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:param max_buffer_size: Maximum number of metric to buffer before
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sending to the server if sending metrics in batch
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"""
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self.max_buffer_size = max_buffer_size
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self._send = self._send_to_server
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self.socket = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
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self.connect(host, port)
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self.encoding = 'utf-8'
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def __enter__(self):
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self.open_buffer(self.max_buffer_size)
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return self
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def __exit__(self, the_type, value, traceback):
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self.close_buffer()
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def open_buffer(self, max_buffer_size=50):
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"""Open a buffer to send a batch of metrics in one packet.
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"""
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self.max_buffer_size = max_buffer_size
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self.buffer = []
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self._send = self._send_to_buffer
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def close_buffer(self):
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"""Flush the buffer and switch back to single metric packets.
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"""
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self._send = self._send_to_server
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self._flush_buffer()
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def connect(self, host, port):
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"""Connect to the monascastatsd server on the given host and port.
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"""
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self.socket.connect((host, int(port)))
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def report(self, metric, metric_type, value, dimensions, sample_rate):
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"""Use this connection to report metrics.
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"""
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if sample_rate == 1 or random.random() <= sample_rate:
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self._send_payload(dimensions, metric,
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metric_type, sample_rate,
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value)
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def _send_payload(self, dimensions, metric, metric_type,
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sample_rate, value):
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encoded = self._create_payload(dimensions, metric,
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metric_type, sample_rate,
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value)
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self._send(encoded)
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def _create_payload(self, dimensions, metric, metric_type, sample_rate,
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value):
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payload = [metric, ":", value, "|", metric_type]
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payload.extend(self._payload_extension_from_sample_rate(sample_rate))
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payload.extend(self._payload_extension_from_dimensions(dimensions))
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return "".join(six.moves.map(str, payload))
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@staticmethod
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def _payload_extension_from_sample_rate(sample_rate):
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if sample_rate != 1:
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return ["|@", sample_rate]
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else:
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return []
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@staticmethod
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def _payload_extension_from_dimensions(dimensions):
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if dimensions:
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return ["|#", dimensions]
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else:
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return []
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def _send_to_server(self, packet):
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try:
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self.socket.send(packet.encode(self.encoding))
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except socket.error:
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log.exception("Error submitting metric")
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def _send_to_buffer(self, packet):
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self.buffer.append(packet)
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if len(self.buffer) >= self.max_buffer_size:
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self._flush_buffer()
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def _flush_buffer(self):
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self._send_to_server("\n".join(self.buffer))
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self.buffer = []
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