import glob2
import pygame
import random
from Field import Field
from Global_variables import Global_variables as G_var
from Types_colors import Types_colors
from Package_types import Package_types
import math
from CompanyFactory import CompanyFactory
from decision_tree.Decision_tree import DecisionTree
from neural_network.NeuralNetwork import NeuralNetwork


class Package(Field):
    def __init__(self, window, x, y, type):
        Field.__init__(self, window, x, y)
        # self.mark_image = self.get_marking_photo()
        self.type = type
        self.company = CompanyFactory()
        self.payed_upfront = random.randint(0,1)
        self.is_placed = False
        weekend = random.randint(0,1)
        self.sector = self.use_decision_tree(weekend)

    def use_decision_tree(self, weekend):
        marking = self.type
        if marking == Package_types.fragile:
            marking = 0
        elif marking == Package_types.priority:
            marking = 1
        tree = DecisionTree(marking, weekend, self.company.popularity,
                            self.company.payment_delay, self.payed_upfront,
                            self.company.shipping_type)
        decision = tree.decision
        # print("Decision tree: ", decision)
        return decision

    def draw(self):
        self.color = Types_colors.get_package_color(self.type)
        # self.color = (110,64,48)
        block = pygame.Rect(self.x * G_var().RECT_SIZE, self.y *
                            G_var().RECT_SIZE, G_var().RECT_SIZE, G_var().RECT_SIZE)
        pygame.draw.rect(self.window, self.color, block)