# (C) Copyright 2014-2016 Hewlett Packard Enterprise Development LP
# Copyright 2016 FUJITSU LIMITED
#
# 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 <<EMAIL>>
# 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.

import six

import logging
import random
import socket

logging.basicConfig()
log = logging.getLogger(__name__)


class Connection(object):

    def __init__(self, host='localhost', port=8125, max_buffer_size=50):
        """Initialize a Connection 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._send = self._send_to_server
        self.socket = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
        self.connect(host, port)
        self.encoding = 'utf-8'

    def __enter__(self):
        self.open_buffer(self.max_buffer_size)
        return self

    def __exit__(self, the_type, value, traceback):
        self.close_buffer()

    def open_buffer(self, max_buffer_size=50):
        """Open a buffer to send a batch of metrics in one packet.

        """
        self.max_buffer_size = max_buffer_size
        self.buffer = []
        self._send = self._send_to_buffer

    def close_buffer(self):
        """Flush the buffer and switch back to single metric packets.

        """
        self._send = self._send_to_server
        self._flush_buffer()

    def connect(self, host, port):
        """Connect to the monascastatsd server on the given host and port.

        """
        self.socket.connect((host, int(port)))

    def report(self, metric, metric_type, value, dimensions, sample_rate):
        """Use this connection to report metrics.

        """
        if sample_rate == 1 or random.random() <= sample_rate:
            self._send_payload(dimensions, metric,
                               metric_type, sample_rate,
                               value)

    def _send_payload(self, dimensions, metric, metric_type,
                      sample_rate, value):

        encoded = self._create_payload(dimensions, metric,
                                       metric_type, sample_rate,
                                       value)

        self._send(encoded)

    def _create_payload(self, dimensions, metric, metric_type, sample_rate,
                        value):

        payload = [metric, ":", value, "|", metric_type]
        payload.extend(self._payload_extension_from_sample_rate(sample_rate))
        payload.extend(self._payload_extension_from_dimensions(dimensions))

        return "".join(six.moves.map(str, payload))

    @staticmethod
    def _payload_extension_from_sample_rate(sample_rate):
        if sample_rate != 1:
            return ["|@", sample_rate]
        else:
            return []

    @staticmethod
    def _payload_extension_from_dimensions(dimensions):
        if dimensions:
            return ["|#", dimensions]
        else:
            return []

    def _send_to_server(self, packet):
        try:
            self.socket.send(packet.encode(self.encoding))
        except socket.error:
            log.exception("Error submitting metric")

    def _send_to_buffer(self, packet):
        self.buffer.append(packet)
        if len(self.buffer) >= self.max_buffer_size:
            self._flush_buffer()

    def _flush_buffer(self):
        self._send_to_server("\n".join(self.buffer))
        self.buffer = []

# (C) Copyright 2014-2016 Hewlett Packard Enterprise Development LP
# Copyright 2016 FUJITSU LIMITED
#
# 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 <<EMAIL>>
# 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.

import six

import logging
import random
import socket

logging.basicConfig()
log = logging.getLogger(__name__)


class Connection(object):

    def __init__(self, host='localhost', port=8125, max_buffer_size=50):
        """Initialize a Connection 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._send = self._send_to_server
        self.socket = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
        self.connect(host, port)
        self.encoding = 'utf-8'

    def __enter__(self):
        self.open_buffer(self.max_buffer_size)
        return self

    def __exit__(self, the_type, value, traceback):
        self.close_buffer()

    def open_buffer(self, max_buffer_size=50):
        """Open a buffer to send a batch of metrics in one packet.

        """
        self.max_buffer_size = max_buffer_size
        self.buffer = []
        self._send = self._send_to_buffer

    def close_buffer(self):
        """Flush the buffer and switch back to single metric packets.

        """
        self._send = self._send_to_server
        self._flush_buffer()

    def connect(self, host, port):
        """Connect to the monascastatsd server on the given host and port.

        """
        self.socket.connect((host, int(port)))

    def report(self, metric, metric_type, value, dimensions, sample_rate):
        """Use this connection to report metrics.

        """
        if sample_rate == 1 or random.random() <= sample_rate:
            self._send_payload(dimensions, metric,
                               metric_type, sample_rate,
                               value)

    def _send_payload(self, dimensions, metric, metric_type,
                      sample_rate, value):

        encoded = self._create_payload(dimensions, metric,
                                       metric_type, sample_rate,
                                       value)

        self._send(encoded)

    def _create_payload(self, dimensions, metric, metric_type, sample_rate,
                        value):

        payload = [metric, ":", value, "|", metric_type]
        payload.extend(self._payload_extension_from_sample_rate(sample_rate))
        payload.extend(self._payload_extension_from_dimensions(dimensions))

        return "".join(six.moves.map(str, payload))

    @staticmethod
    def _payload_extension_from_sample_rate(sample_rate):
        if sample_rate != 1:
            return ["|@", sample_rate]
        else:
            return []

    @staticmethod
    def _payload_extension_from_dimensions(dimensions):
        if dimensions:
            return ["|#", dimensions]
        else:
            return []

    def _send_to_server(self, packet):
        try:
            self.socket.send(packet.encode(self.encoding))
        except socket.error:
            log.exception("Error submitting metric")

    def _send_to_buffer(self, packet):
        self.buffer.append(packet)
        if len(self.buffer) >= self.max_buffer_size:
            self._flush_buffer()

    def _flush_buffer(self):
        self._send_to_server("\n".join(self.buffer))
        self.buffer = []

# (C) Copyright 2014-2016 Hewlett Packard Enterprise Development LP # Copyright 2016 FUJITSU LIMITED # # 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 <<EMAIL>> # 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. Initialize a Connection 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 Open a buffer to send a batch of metrics in one packet. Flush the buffer and switch back to single metric packets. Connect to the monascastatsd server on the given host and port. Use this connection to report metrics. #", dimensions]