#=----------------------------------------------------------------------------=#
#   Scheduler related functions                                                #
#                                                                              #
#   Copyright © 2021 The Gem-graph Project                                     #
#                                                                              #
#   This file is part of gem-graph.                                            #
#                                                                              #
#   This program is free software: you can redistribute it and/or modify       #
#   it under the terms of the GNU Affero General Public License as             #
#   published by the Free Software Foundation, either version 3 of the         #
#   License, or (at your option) any later version.                            #
#                                                                              #
#   This program is distributed in the hope that it will be useful,            #
#   but WITHOUT ANY WARRANTY; without even the implied warranty of             #
#   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the              #
#   GNU Affero General Public License for more details.                        #
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#   You should have received a copy of the GNU Affero General Public License   #
#   along with this program.  If not, see <https://www.gnu.org/licenses/>.     #
#=----------------------------------------------------------------------------=#

import multiprocessing, threading
import random

import localthread

## Master Thread
class GreatScheduler(threading.Thread):

    def __init__(self, preemption_space, transitions_tree, arrow_list, n_thread, nmax_cycles):

        threading.Thread.__init__(self)

        self.preemption_space = preemption_space
        self.transition_tree = transitions_tree
        self.arrow_list = arrow_list
        self.n_thread = n_thread
        self.cur_id = -1
        self.n_cycle = -1
        self.nmax_cycles = nmax_cycles
        self.stopped = False

    def run(self):
        thread_list = []
        shared_memory = multiprocessing.Manager()

        while not self.stopped and self.n_cycle != self.nmax_cycles:

            self.n_cycle += 1

            #print("--- Mesures et écoute ---")
            #print("Espace global de préemption :\t {}".format(self.preemption_space))
            #print("Liste des flèches :\t {}".format(self.arrow_list))

            ## Tirer une flêche au hasard
            n = int(random.random()*len(self.arrow_list))
            elected_arrow = self.arrow_list[n]

            ## Vérification de l'espace global de préemption autour de la flêche
            if not(len(thread_list) >= self.n_thread) and self.preemption_space[elected_arrow[0]]:
                print("Espace local libre à {}".format(elected_arrow[0]))
                self.preemption_space[elected_arrow[0]] = False

                ## Création du thread local

                self.cur_id += 1

                thread_list.append(
                    localthread.LocalComputingUnit(self.cur_id,
                        shared_memory,
                        elected_arrow[0],
                        elected_arrow[1],
                        self.transition_tree
                    )
                )

                ## Lancer le thread local
                thread_list[-1].start()

            for thread in thread_list:
                if not thread.is_alive():
                    if not thread.namespace.returncode.__class__ is localthread.SuccessfulOperation:
                        if thread.namespace.returncode.__class__ is localthread.FailedOperation:
                            print("A optimiser : créer une règle")
                        else:
                            raise thread.namespace.returncode
                    print("Thread local n°{} est terminé".format(thread.id))

                    self.preemption_space[thread.address] = True
                    thread_list.pop(thread_list.index(thread))

        ## Sortie du scheduler
        print("Attente de la fin des thread locaux")

        for thread in thread_list:
            thread.join()
            if not thread.namespace.returncode.__class__ is localthread.SuccessfulOperation:
                if thread.namespace.returncode.__class__ is localthread.FailedOperation:
                    print("A optimiser : créer une règle")
                else:
                    raise thread.namespace.returncode
            print("Thread local n°{} est terminé".format(thread.id))