helpers/__init__.py

#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
"""
helpers (Helpers)
=================

**Author:**

* Dirk Alders <sudo-dirk@mount-mockery.de>

**Description:**

    This module supports functions and classes which don't have an own Module (yet).

**Submodules:**

* :class:`helpers.continues_statistic`
* :class:`helpers.continues_statistic_multivalue`
* :class:`helpers.direct_socket_client`
* :class:`helpers.direct_socket_server`
* :class:`helpers.ringbuffer`

**Unittest:**

    See also the :download:`unittest <helpers/_testresults_/unittest.pdf>` documentation.

**Module Documentation:**

"""
import logging
import numbers
import os
import time

import stringtools
import task
__DEPENDENCIES__ = ['stringtools', 'task', ]

try:
    from config import APP_NAME as ROOT_LOGGER_NAME
except ImportError:
    ROOT_LOGGER_NAME = 'root'

logger = logging.getLogger(ROOT_LOGGER_NAME).getChild(__name__)


__DESCRIPTION__ = """The Module {\\tt %s} is designed to help with some function which don't have an own Module (yet).
For more Information read the documentation.""" % __name__.replace('_', '\_')
"""The Module Description"""
__INTERPRETER__ = (2, 3)
"""The Tested Interpreter-Versions"""


class continues_statistic(dict):
    """
    This class stores a statistic for a stream of values. The statistic includes: mean, min, max, quantifier.

    .. note:: You can use the mathematic operators "+, +=" to add a value to the statistic.

    :param mean: The mean start value, the start value or None.
    :type mean: numeric
    :param min_val: The min start value or None
    :type min_val: numeric
    :param max_val: The max start value or None
    :type max_val: numeric
    :param quantifier: The quantifier start value or 0
    :type quantifier: int

    .. note:: You are able to initialise this class in the following ways:

              * Without arguments to get an empty instance
              * With one single value to get an starting instance
              * With mean, min_val, max_val, quantifier to initialise an existing statistic

    **Example:**

    .. literalinclude:: helpers/_examples_/continues_statistic.py

    Will result to the following output:

    .. literalinclude:: helpers/_examples_/continues_statistic.log
    """
    def __init__(self, mean=None, min_val=None, max_val=None, quantifier=0):
        dict.__init__(self)
        if mean is None:
            self.__init_data__(None, None, None, 0)
        elif min_val is not None and max_val is not None and quantifier > 0:
            self.__init_data__(mean, min_val, max_val, quantifier)
        else:
            self.__init_data__(mean, mean, mean, 1)

    def __init_data__(self, mean, min_val, max_val, quantifier):
        self['quantifier'] = quantifier
        self['max_val'] = max_val
        self['min_val'] = min_val
        self['mean'] = mean

    def __add__(self, other):
        if self.quantifier == 0:
            return continues_statistic(**other)
        elif other.quantifier == 0:
            return continues_statistic(**self)
        else:
            return continues_statistic(
                mean=(self.mean * self.quantifier + other.mean * other.quantifier) / (self.quantifier + other.quantifier),
                min_val=min(self.min, other.min),
                max_val=max(self.max, other.max),
                quantifier=self.quantifier + other.quantifier,
            )

    @property
    def mean(self):
        """
        The current mean value.
        """
        return self.get('mean')

    @property
    def min(self):
        """
        The current min value.
        """
        return self.get('min_val')

    @property
    def max(self):
        """
        The current max value.
        """
        return self.get('max_val')

    @property
    def quantifier(self):
        """
        The current quantifier (number of values for continues statistic).
        """
        return self.get('quantifier')

    def pop(self):
        """
        This pops out the current statistic data and returns these as an instance of :class:`helpers.continues_statistic`.

        :returns: The current statistic or None, if no value is available.
        :rtype: :class:`helpers.continues_statistic` or None
        """
        if self.quantifier == 0:
            return None
        else:
            rv = continues_statistic(self.mean, self.min, self.max, self.quantifier)
            self.__init_data__(None, None, None, 0)
            return rv

    def __str__(self):
        return "mean=%(mean)s, min=%(min_val)s, max=%(max_val)s, quantifier=%(quantifier)s" % self


class continues_statistic_multivalue(dict):
    """
    This class stores multiple statistics of stream values. The statistic of each value is stored as :class:`helpers.continues_statistic`.

    .. note:: You can use the mathematic operators "+, +=" to add instances.

    .. note:: You are able to initialise this class in the following ways:

              * Without arguments to get an empty instance
              * With a keword argument(s) which will be passed to :class:`continues_statistic`
              * With a dict equivalent of :class:`continues_statistic_multivalue` to initialise an existing statistic

    **Example:**

    .. literalinclude:: helpers/_examples_/continues_statistic_multivalue.py

    Will result to the following output:

    .. literalinclude:: helpers/_examples_/continues_statistic_multivalue.log
    """
    def __init__(self, *args, **kwargs):
        dict.__init__(self)
        if len(args) == 0 and len(kwargs) >= 0:
            for key in kwargs:
                if type(kwargs[key]) is continues_statistic:
                    self[key] = kwargs[key]
                elif type(kwargs[key]) is dict:
                    self[key] = continues_statistic(**kwargs[key])
                else:
                    self[key] = continues_statistic(kwargs[key])
        elif len(args) == 1 and len(kwargs) == 0:
            for key in args[0]:
                self[key] = continues_statistic(**args[0][key])
        else:
            raise TypeError("No valid initialisation value(s)!")

    def __add__(self, other):
        rv_dict = {}
        for key in set(list(self.keys()) + list(other.keys())):
            rv_dict[key] = self.get(key, continues_statistic()) + other.get(key, continues_statistic())
        return continues_statistic_multivalue(**rv_dict)

    def pop(self, key=None):
        """
        This pops out the current statistic data for a given key and returns these as an instance of :class:`helpers.continues_statistic`.

        If no key is given it pops out the current statistic data and returns these as an instance of :class:`helpers.continues_statistic_multiple`.

        :param key: The key to get data for
        :type key: str or NoneType

        :returns: The current statistic or None, if no value is available.
        :rtype: :class:`helpers.continues_statistic` or None
        """
        if key is None:
            if len(self) == 0:
                return None
            else:
                rv = continues_statistic_multivalue(**self)
                self.clear()
                return rv
        else:
            return self[key].pop()

    def __str__(self):
        if len(self) == 0:
            return '-'
        else:
            return '\n'.join([key + ': ' + str(self[key]) for key in self])


class direct_socket_base(object):
    """
    This is the base class for other classes in this module.
    """
    DEFAULT_CHANNEL_NAME = 'all_others'

    def __init__(self, max_len=None, virtual_rate_bps=None):
        self.__max_length__ = max_len
        self.__rate_bps__ = virtual_rate_bps
        #
        self.init_channel_name()
        self.__queue__ = task.threaded_queue()
        self.__queue__.run()
        #
        self.__remote_socket__ = None
        self.__last_remote_socket__ = None
        self.__data_callback__ = None
        self.__connect_callback__ = None
        self.__disconnect_callback__ = None
        #
        self.__clean_buffer__()

    def __chunks__(self, data):
        chunks = []
        if self.__max_length__ is None:
            chunks.append(data)
        else:
            for i in range(0, len(data), self.__max_length__):
                chunks.append(data[i:i + self.__max_length__])
        return chunks

    def __clean_buffer__(self):
        self.__rx_buffer__ = b''
        self.logger.info('%s Cleaning RX-Buffer...', self.__log_prefix__())

    def __connect__(self, remote_socket):
        if self.__remote_socket__ is None:
            self.__remote_socket__ = remote_socket
            self.logger.info('%s Connection established...', self.__log_prefix__())
            self.__clean_buffer__()
            if self.__connect_callback__ is not None:
                self.__connect_callback__()
            remote_socket.__connect__(self)

    def __log_prefix__(self):
        return 'Client:' if self.IS_CLIENT else 'Server:'

    def __rx__(self, data):
        self.__rx_buffer__ += data
        self.logger.debug('%s RX <- %s', self.__log_prefix__(), stringtools.hexlify(data))
        if self.__data_callback__ is not None:
            self.__data_callback__(self)

    def __tx__(self, q, data):
        self.logger.debug('%s TX -> %s', self.__log_prefix__(), stringtools.hexlify(data))
        if self.__rate_bps__ is not None:
            time.sleep(len(data) / self.__rate_bps__)
        self.__remote_socket__.__rx__(data)

    def disconnect(self):
        """
        Method to disconnect client and server.
        """
        if self.__remote_socket__ is not None:
            self.__last_remote_socket__ = self.__remote_socket__
            self.__remote_socket__ = None
            self.logger.info('%s Connection Lost...', self.__log_prefix__())
            if self.__disconnect_callback__ is not None:
                self.__disconnect_callback__()
            self.__last_remote_socket__.disconnect()

    def init_channel_name(self, channel_name=None):
        """
        With this Method, the channel name for logging can be changed.

        :param channel_name: The name for the logging channel
        :type channel_name: str
        """
        if channel_name is None:
            self.logger = logger.getChild(self.DEFAULT_CHANNEL_NAME)
        else:
            self.logger = logger.getChild(channel_name)

    def is_connected(self):
        """
        With this Method the connection status can be identified.

        :return: True, if a connection is established, otherwise False.
        :rtype: bool
        """
        return self.__remote_socket__ is not None

    def receive(self, timeout=1.0, num=None):
        """
        This method returns received data.

        :param timeout: The timeout for receiving data (at least after the timeout the method returns data or None).
        :type timeout: float
        :param num: the number of bytes to receive (use None to get all available data).
        :type num: int or None
        :return: The received data.
        :rtype: bytes
        """
        i = 0
        while len(self.__rx_buffer__) < (num or 1) and i < timeout * 10:
            i += 1
            time.sleep(.1)
        if len(self.__rx_buffer__) < (num or 1):
            return b''
        else:
            if num is None:
                rv = self.__rx_buffer__
                self.__rx_buffer__ = b''
            else:
                rv = self.__rx_buffer__[:num]
                self.__rx_buffer__ = self.__rx_buffer__[num:]
            return rv

    def register_callback(self, callback):
        """
        This method stores the callback which is executed, if data is available. You need to execute :func:`receive` of this instance
        given as first argument.

        :param callback: The callback which will be executed, when data is available.
        :type callback:
        """
        self.__data_callback__ = callback

    def register_connect_callback(self, callback):
        """
        This method stores the callback which is executed, if a connection is established.

        :param callback: The callback which will be executed, when a connection is established.
        :type callback:
        """
        self.__connect_callback__ = callback

    def register_disconnect_callback(self, callback):
        """
        This method stores the callback which is executed, after the connection is lost.

        :param callback: The callback which will be executed, after the connection is lost.
        :type callback:
        """
        self.__disconnect_callback__ = callback

    def send(self, data, timeout=1.0):
        """
        This method sends data via the initiated communication channel.

        :param data: The data to be send over the communication channel.
        :type data: bytes
        :param timeout: The timeout for sending data (e.g. time to establish new connection).
        :type timeout: float
        :param log_lvl: The log level to log outgoing TX-data
        :type log_lvl: int
        :return: True if data had been sent, otherwise False.
        :rtype: bool
        """
        i = 0
        while not self.is_connected() and i < timeout * 10:
            i += 1
            time.sleep(.1)
        if not self.is_connected():
            return False
        else:
            for tx_data in self.__chunks__(data):
                self.__queue__.enqueue(1, self.__tx__, tx_data)
        return True


class direct_socket_client(direct_socket_base):
    """
    Class to create a direct client socket. See also parent :class:`helpers.direct_socket_base`.

    **Example:**

    .. literalinclude:: helpers/_examples_/direct_socket.py

    Will result to the following output:

    .. literalinclude:: helpers/_examples_/direct_socket.log
    """
    IS_CLIENT = True

    def connect(self, remote_socket):
        """
        Method to create a connection between this client and a :class:`helpers.direct_socket_server` instance.

        :param remote_socket: The remote socket to connect to.
        :type remote_socket: :class:`helpers.direct_socket_server`
        """
        self.__connect__(remote_socket)

    def reconnect(self):
        """
        Method to do a reconnect.

        .. note:: The :const:`remote_socket` of the prefious :func:`connect` call will be used.
        """
        if self.__last_remote_socket__ is not None and self.__remote_socket__ is None:
            self.connect(self.__last_remote_socket__)
            return True
        return False


class direct_socket_server(direct_socket_base):
    """
    Class to create a direct server socket. See also parent :class:`helpers.direct_socket_base`.

    **Example:**

    .. literalinclude:: helpers/_examples_/direct_socket.py

    Will result to the following output:

    .. literalinclude:: helpers/_examples_/direct_socket.log
    """
    IS_CLIENT = False

    def __init__(self, *args, **kwargs):
        direct_socket_base.__init__(self, *args, **kwargs)
        self.logger.info('%s Waiting for incomming connection', self.__log_prefix__())


class ringbuffer(list):
    """
    Class for a list with a limited number of elements.

    .. note:: On adding Objects, the list will be reduced to the maximum length by deleting entries starting from index 0.

    **Example:**

    .. literalinclude:: helpers/_examples_/ringbuffer.py

    Will result to the following output:

    .. literalinclude:: helpers/_examples_/ringbuffer.log
    """
    def __init__(self, *args, **kwargs):
        self.__max_length__ = kwargs.pop('length')
        list.__init__(self, *args, **kwargs)
        self.__reduce_list__()

    def __reduce_list__(self):
        while len(self) > self.__max_length__:
            self.pop(0)

    def append(self, obj):
        rv = list.append(self, obj)
        self.__reduce_list__()
        return rv

    def extend(self, iterable):
        rv = list.extend(self, iterable)
        self.__reduce_list__()
        return rv