import random
from Global_variables import Global_variables as G_var
from Package import Package
from Package_types import Package_types
from decision_tree.Decision_tree import DecisionTree
import glob2
from neural_network.NeuralNetwork import NeuralNetwork


class Packages_spawner:
    def __init__(self, window,enviroment_2d):
        self.window = window
        self.enviroment_2d = enviroment_2d


    def read_photo_and_determine_marking(self):   # USING NEURAL NETWORK
        image = self.get_marking_photo()
        net = NeuralNetwork()
        marking = net.use_neural_net(image)
        if marking == "fragile":
            type = Package_types.fragile
        elif marking == "priority":
            type = Package_types.priority
        return type

    def spawn_package(self):
        package_x = random.randrange(22, 26)
        package_y = random.randrange(1, 13)
        # package_type = random.choice(list(Package_types))
        package_type = self.read_photo_and_determine_marking()
        new_package = Package(self.window, package_x, package_y, package_type)
        self.enviroment_2d[package_x][package_y] = new_package

    def get_marking_photo(self):
        file_path_type = ["resources/markings/*.png"]
        images = glob2.glob(random.choice(file_path_type))
        random_image = random.choice(images)
        return random_image