task.py

import random
import numpy as np
import math
#-----------------------------------------------------Task-------------------------------------------------------------------------------------------------------------------------------------------------
class Tasks():
    #Task의 class를 만든다. Task가 가져야 할 features를 정의하자 먼저.(task_types, 1, 15, 10, expiry)
    def __init__(self, max_value, max_alpha, max_deadline, max_task_size):
        self.original_value_ = np.around(random.uniform(0.1, max_value), decimals = 2)
        self.alpha_ = 0.001 + np.around(random.uniform(0, max_alpha), decimals = 2)
        #self.alpha_ = 0.01 + np.around(random.uniform(0.1, max_alpha), decimals = 2)
        self.deadline_ = np.around(random.uniform(1, max_deadline), decimals = 2)
        self.expiry_ = self.deadline_+ np.around(random.uniform(0, 0.5*self.deadline_), decimals=2)
        self.task_size_ = random.randint(1, max_task_size)
        self.bid_ = self.original_value_

    def TaskValueFunction(self, time_unit):

        values = []
        X_axis = np.arange(0,self.expiry_+time_unit, time_unit)

        for _ in X_axis[:int(self.deadline_/time_unit)+1] :
            values.append(self.original_value_)

        for it in X_axis[int(self.deadline_/time_unit)+1:]:

            if -self.alpha_*(it-self.deadline_)**2 + self.original_value_ >= 0:
                values.append(-self.alpha_*(it-self.deadline_)**2 + self.original_value_)

            else : values.append(0)

        return values, X_axis

    def time_variant_value(self, t_sub, time_unit):

        values, X_axis = self.TaskValueFunction(time_unit)

        if t_sub in X_axis:

            return values[int(t_sub / time_unit)]

        else: return 0