# axel.py
#
# Copyright (C) 2010 Adrian Cristea adrian dot cristea at gmail dotcom
# Edits by Ruud Burger
#
# Based on an idea by Peter Thatcher, found on
# http://www.valuedlessons.com/2008/04/events-in-python.html
#
# This module is part of Axel and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php
#
# Source: http://pypi.python.org/pypi/axel
# Docs:   http://packages.python.org/axel

from Queue import Empty, Queue
import hashlib
import sys
import threading

from couchpotato.core.helpers.variable import natsortKey


class Event(object):
    """
    Event object inspired by C# events. Handlers can be registered and
    unregistered using += and -= operators. Execution and result are
    influenced by the arguments passed to the constructor and += method.

    from axel import Event

    event = Event()
    def on_event(*args, **kwargs):
        return (args, kwargs)

    event += on_event                        # handler registration
    print(event(10, 20, y=30))
    >> ((True, ((10, 20), {'y': 30}), <function on_event at 0x00BAA270>),)

    event -= on_event                        # handler is unregistered
    print(event(10, 20, y=30))
    >> None

    class Mouse(object):
        def __init__(self):
            self.click = Event(self)
            self.click += self.on_click      # handler registration

        def on_click(self, sender, *args, **kwargs):
            assert isinstance(sender, Mouse), 'Wrong sender'
            return (args, kwargs)

    mouse = Mouse()
    print(mouse.click(10, 20))
    >> ((True, ((10, 20), {}),
    >>  <bound method Mouse.on_click of <__main__.Mouse object at 0x00B6F470>>),)

    mouse.click -= mouse.on_click            # handler is unregistered
    print(mouse.click(10, 20))
    >> None
    """

    def __init__(self, name = None, sender = None, asynch = False, exc_info = False,
                 lock = None, threads = 3, traceback = False):
        """ Creates an event

        asynch
            if True handler's are executes asynchronous
        exc_info
            if True, result will contain sys.exc_info()[:2] on error
        lock
            threading.RLock used to synchronize execution
        sender
            event's sender. The sender is passed as the first argument to the
            handler, only if is not None. For this case the handler must have
            a placeholder in the arguments to receive the sender
        threads
            maximum number of threads that will be started
        traceback
            if True, the execution result will contain sys.exc_info()
            on error. exc_info must be also True to get the traceback

        hash = self.hash(handler)

        Handlers are stored in a dictionary that has as keys the handler's hash
            handlers = {
                hash : (handler, memoize, timeout),
                hash : (handler, memoize, timeout), ...
            }
        The execution result is cached using the following structure
            memoize = {
                hash : ((args, kwargs, result), (args, kwargs, result), ...),
                hash : ((args, kwargs, result), ...), ...
            }
        The execution result is returned as a tuple having this structure
            exec_result = (
                (True, result, handler),        # on success
                (False, error_info, handler),   # on error
                (None, None, handler), ...      # asynchronous execution
            )
        """
        self.name = name
        self.asynchronous = asynch
        self.exc_info = exc_info
        self.lock = lock
        self.sender = sender
        self.threads = threads
        self.traceback = traceback
        self.handlers = {}
        self.memoize = {}

    def hash(self, handler):
        return hashlib.md5(str(handler)).hexdigest()

    def handle(self, handler, priority = 0):
        """ Registers a handler. The handler can be transmitted together
        with two arguments as a list or dictionary. The arguments are:

        memoize
            if True, the execution result will be cached in self.memoize
        timeout
            will allocate a predefined time interval for the execution

        If arguments are provided as a list, they are considered to have
        this sequence: (handler, memoize, timeout)

        Examples:
            event += handler
            event += (handler, True, 1.5)
            event += {'handler':handler, 'memoize':True, 'timeout':1.5}
        """
        handler_, memoize, timeout = self._extract(handler)
        self.handlers['%s.%s' % (priority, self.hash(handler_))] = (handler_, memoize, timeout)
        return self

    def unhandle(self, handler):
        """ Unregisters a handler """
        handler_, memoize, timeout = self._extract(handler)
        key = self.hash(handler_)
        if not key in self.handlers:
            raise ValueError('Handler "%s" was not found' % str(handler_))
        del self.handlers[key]
        return self

    def fire(self, *args, **kwargs):
        """ Stores all registered handlers in a queue for processing """
        self.queue = Queue()
        result = {}

        if self.handlers:

            max_threads = 1 if kwargs.get('event_order_lock') else self._threads()

            # Set global result
            def add_to(key, value):
                result[key] = value
            kwargs['event_add_to_result'] = add_to

            for i in range(max_threads):
                t = threading.Thread(target = self._execute,
                                     args = args, kwargs = kwargs)
                t.daemon = True
                t.start()

            handler_keys = self.handlers.keys()
            handler_keys.sort(key = natsortKey)

            for handler in handler_keys:
                self.queue.put(handler)

                if self.asynchronous:
                    handler_, memoize, timeout = self.handlers[handler]
                    result[handler] = (None, None, handler_)

            if not self.asynchronous:
                self.queue.join()

        return result

    def count(self):
        """ Returns the count of registered handlers """
        return len(self.handlers)

    def clear(self):
        """ Discards all registered handlers and cached results """
        self.handlers.clear()
        self.memoize.clear()

    def _execute(self, *args, **kwargs):

        # Remove get and set from kwargs
        add_to_result = kwargs.get('event_add_to_result')
        del kwargs['event_add_to_result']

        # Get and remove order lock
        order_lock = kwargs.get('event_order_lock')
        try: del kwargs['event_order_lock']
        except: pass

        # Get and remove return on first
        return_on_result = kwargs.get('event_return_on_result')
        try: del kwargs['event_return_on_result']
        except: pass

        got_results = False

        """ Executes all handlers stored in the queue """
        while True:

            try:
                h_ = self.queue.get(timeout = 2)
                handler, memoize, timeout = self.handlers[h_]

                if return_on_result and got_results:

                    if not self.asynchronous:
                        self.queue.task_done()

                    continue

                if order_lock:
                    order_lock.acquire()

                try:
                    r = self._memoize(memoize, timeout, handler, *args, **kwargs)
                    if not self.asynchronous:
                        if not return_on_result or (return_on_result and r[1] is not None):
                            add_to_result(h_, tuple(r))
                            got_results = True

                except Exception:
                    if not self.asynchronous:
                        add_to_result(h_, (False, self._error(sys.exc_info()),
                                            handler))
                    else:
                        self.error_handler(sys.exc_info())
                finally:

                    if order_lock:
                        order_lock.release()

                    if not self.asynchronous:
                        self.queue.task_done()

                    if self.queue.empty():
                        raise Empty

            except Empty:
                break

    def _extract(self, queue_item):
        """ Extracts a handler and handler's arguments that can be provided
        as list or dictionary. If arguments are provided as list, they are
        considered to have this sequence: (handler, memoize, timeout)
        Examples:
            event += handler
            event += (handler, True, 1.5)
            event += {'handler':handler, 'memoize':True, 'timeout':1.5}
        """
        assert queue_item, 'Invalid list of arguments'
        handler = None
        memoize = False
        timeout = 0

        if not isinstance(queue_item, (list, tuple, dict)):
            handler = queue_item
        elif isinstance(queue_item, (list, tuple)):
            if len(queue_item) == 3:
                handler, memoize, timeout = queue_item
            elif len(queue_item) == 2:
                handler, memoize, = queue_item
            elif len(queue_item) == 1:
                handler = queue_item
        elif isinstance(queue_item, dict):
            handler = queue_item.get('handler')
            memoize = queue_item.get('memoize', False)
            timeout = queue_item.get('timeout', 0)
        return (handler, bool(memoize), float(timeout))

    def _memoize(self, memoize, timeout, handler, *args, **kwargs):
        """ Caches the execution result of successful executions
        hash = self.hash(handler)
        memoize = {
            hash : ((args, kwargs, result), (args, kwargs, result), ...),
            hash : ((args, kwargs, result), ...), ...
        }
        """
        if not isinstance(handler, Event) and self.sender is not None:
            args = list(args)[:]
            args.insert(0, self.sender)

        if not memoize:
            if timeout <= 0: #no time restriction
                result = [True, handler(*args, **kwargs), handler]
                return result

            result = self._timeout(timeout, handler, *args, **kwargs)
            if isinstance(result, tuple) and len(result) == 3:
                if isinstance(result[1], Exception): #error occurred
                    return [False, self._error(result), handler]
            return [True, result, handler]
        else:
            hash_ = self.hash(handler)
            if hash_ in self.memoize:
                for args_, kwargs_, result in self.memoize[hash_]:
                    if args_ == args and kwargs_ == kwargs:
                        return [True, result, handler]

            if timeout <= 0: #no time restriction
                result = handler(*args, **kwargs)
            else:
                result = self._timeout(timeout, handler, *args, **kwargs)
                if isinstance(result, tuple) and len(result) == 3:
                    if isinstance(result[1], Exception): #error occurred
                        return [False, self._error(result), handler]

            lock = threading.RLock()
            lock.acquire()
            try:
                if hash_ not in self.memoize:
                    self.memoize[hash_] = []
                self.memoize[hash_].append((args, kwargs, result))
                return [True, result, handler]
            finally:
                lock.release()


    def _timeout(self, timeout, handler, *args, **kwargs):
        """ Controls the time allocated for the execution of a method """
        t = spawn_thread(target = handler, args = args, kwargs = kwargs)
        t.daemon = True
        t.start()
        t.join(timeout)

        if not t.is_alive():
            if t.exc_info:
                return t.exc_info
            return t.result
        else:
            try:
                msg = '[%s] Execution was forcefully terminated'
                raise RuntimeError(msg % t.name)
            except:
                return sys.exc_info()

    def _threads(self):
        """ Calculates maximum number of threads that will be started """
        if self.threads < len(self.handlers):
            return self.threads
        return len(self.handlers)

    def _error(self, exc_info):
        """ Retrieves the error info """
        if self.exc_info:
            if self.traceback:
                return exc_info
            return exc_info[:2]
        return exc_info[1]

    __iadd__ = handle
    __isub__ = unhandle
    __call__ = fire
    __len__ = count

class spawn_thread(threading.Thread):
    """ Spawns a new thread and returns the execution result """

    def __init__(self, target, args = (), kwargs = {}, default = None):
        threading.Thread.__init__(self)
        self._target = target
        self._args = args
        self._kwargs = kwargs
        self.result = default
        self.exc_info = None

    def run(self):
        try:
            self.result = self._target(*self._args, **self._kwargs)
        except:
            self.exc_info = sys.exc_info()
        finally:
            del self._target, self._args, self._kwargs