outputs = [dic['output'] for dic in houses]
wijk1 = SmartGrid(max_x, max_y)
for element in houses:
wijk1.create_house(element['position'], element['output'])
# populate the batteries in the smart_grid
for element in batteries:
wijk1.create_battery(element['position'], element['capacity'])
wijk1.add_house_dictionaries(houses)
wijk1.add_battery_dictionaries(batteries)
wijk1.prettify()
# solution_reader_new(wijk1, 'Results/best_hillclimber.json')
# wijk1.connect_from_new_structure(wijk1.house_dict_with_manhattan_distances)
heat_map(wijk1)
wijk1.cap_left()
print(wijk1.calc_cost())
print(wijk1.check_validity())
# wijk1.cap_left()
# print(wijk1.calc_cost())
# print(wijk1.check_validity())
#
# print("The remaining capacity of batteries are: {}".format(wijk1.bat_cap_left))
def main():
colorama.init()
house_path = 'Data/wijk1_huizen.csv'
battery_path = 'Data/wijk1_batterijen.txt'
houses, batteries = read_data(house_path, battery_path)
# find ranges for the grid matrix
max_x = max([dic['position'][0] for dic in houses] +
[dic['position'][0] for dic in batteries]) + 1
max_y = max([dic['position'][1] for dic in houses] +
[dic['position'][1] for dic in batteries]) + 1
# outputs = [dic['output'] for dic in houses]
# print(outputs)
# plt.hist(outputs)
# plt.ylabel('count')
# plt.xlabel('max output')
# plt.show()
# creates our very own smart_grid object! yay
wijk1 = SmartGrid(max_x,max_y)
# Populate the houses in the smart_grid, should I make this a method?
for element in houses:
wijk1.create_house(element['position'], element['output'])
# populate the batteries in the smart_grid
# for element in batteries:
# wijk1.create_battery(element['position'], element['capacity'])
# adds dictionaries to the SmartGrid object
wijk1.add_house_dictionaries(houses)
# wijk1.add_battery_dictionaries(batteries)
# pretty display
# wijk1.prettify()
print("The cost of this grid is: {}".format(wijk1.calc_cost()))
# solution_reader(wijk1, 'Results/best_brabo_solution.csv')
# wijk1.solve("simple_solve3")
# wijk1.prettify()
print("The cost of this grid is: {}".format(wijk1.calc_cost()))
# wijk1.cap_left()
# print("The remaining capacity of batteries are: {}".format(wijk1.bat_cap_left))
# heat_map(wijk1)
# wijk1.house_dict_with_manhattan_distances()
# wijk1.disconnect(houses[1]["position"])
# house_coordinatesx = [dic['position'][0] for dic in houses]
# house_coordinatesy = [dic['position'][1] for dic in houses]
#
# plt.scatter(house_coordinatesx, house_coordinatesy)
# plt.show()
# wijk1.get_lower_bound()
# print("Lower bound of grid is: {}".format(wijk1.lower_bound))
bat_comp_path = "Results/battery_compositions.json"
with open(bat_comp_path, "r") as f:
parsed_data = json.load(f)
battery_configuration = parsed_data["ALL_CONFIGURATIONS"][3]
print(battery_configuration)
battery_configuration, matrices_for_vis = battery_placer(wijk1, battery_configuration)
print(battery_configuration)
visuale_2d(matrices_for_vis[0], matrices_for_vis[1], matrices_for_vis[2], matrices_for_vis[3],)
# print(x)
# battery_path = 'Results/Battery_configurations/test.csv'
battery_path = 'Results/Battery_configurations/BESTSCORE_SIGMA_relative.csv'
# battery_path = 'Results/Battery_configurations/lucas_1137_nice_sigma10.csv'
# battery_path = 'Results/Battery_configurations/leuknaampjes.csv'
houses, batteries = read_data(house_path, battery_path)
for element in batteries:
wijk1.create_battery(element['position'], element['capacity'])
wijk1.add_battery_dictionaries(batteries)
wijk1.house_dict_with_manhattan_distances()
# heat_map(wijk1)
wijk1.prettify()
print(len(wijk1.house_data))
wijk1.get_lower_bound()
print("Lower bound of grid is: {}".format(wijk1.lower_bound))