import numpy as np from module.base.button import ButtonGrid from module.base.ocr import Digit from module.exercise.assets import * from module.logger import logger from module.ui.assets import BACK_ARROW from module.ui.ui import UI OPPONENT = ButtonGrid(origin=(104, 77), delta=(244, 0), button_shape=(212, 304), grid_shape=(4, 1)) class Opponent: def __init__(self, main_image, fleet_image, index): self.index = index self.power = self.get_power(image=main_image) self.level = self.get_level(image=fleet_image) self.priority = self.get_priority() # [OPPONENT_1] ( 8256) 120 120 120 | (12356) 100 80 80 level = [str(x).rjust(3, ' ') for x in self.level] power = ['(' + str(x).rjust(5, ' ') + ')' for x in self.power] logger.attr( 'OPPONENT_%s, %s' % (index, str(np.round(self.priority, 3)).ljust(5, '0')), ' '.join([power[0]] + level[:3] + ['|'] + [power[1]] + level[3:]) ) @staticmethod def process(image): # image[-6:, :] = 255 letter_l = np.where(np.mean(image, axis=0) < 85)[0] if len(letter_l): letter_l = letter_l[0] + 75 image = image[:, letter_l:] image = np.pad(image, ((0, 0), (0, 5)), mode='constant', constant_values=255) return image def get_level(self, image): level = [] level += ButtonGrid(origin=(130, 259), delta=(168, 0), button_shape=(57, 21), grid_shape=(3, 1), name='LEVEL').buttons() level += ButtonGrid(origin=(832, 259), delta=(168, 0), button_shape=(57, 21), grid_shape=(3, 1), name='LEVEL').buttons() level = Digit(level, letter=(255, 255, 255), back=(102, 102, 102), limit=120, threshold=127, additional_preprocess=self.process, name='LEVEL') result = level.ocr(image) return result def get_power(self, image): grids = ButtonGrid(origin=(222, 266), delta=(244, 30), button_shape=(72, 15), grid_shape=(4, 2), name='POWER') power = [grids[self.index, 0], grids[self.index, 1]] power = Digit(power, letter=(255, 223, 57), back=(74, 109, 156), threshold=221, limit=17000, name='POWER') result = power.ocr(image) return result def get_priority(self): # level = np.sum(self.level) / 6 # power = np.sum(self.power) / 6 # return level - (power - 1000) / 30 level = np.sum(self.level) / 6 return level class OpponentChoose(UI): main_image = None opponents = [] def _opponent_fleet_check_all(self): self.opponents = [] self.main_image = self.device.image for index in range(4): self.ui_click(click_button=OPPONENT[index, 0], check_button=EXERCISE_PREPARATION, appear_button=NEW_OPPONENT, skip_first_screenshot=True) self.opponents.append(Opponent(main_image=self.main_image, fleet_image=self.device.image, index=index)) self.ui_click(click_button=BACK_ARROW, check_button=NEW_OPPONENT, appear_button=EXERCISE_PREPARATION, skip_first_screenshot=True) def _opponent_sort(self): priority = np.argsort([- x.priority for x in self.opponents]) logger.attr('Order', str(priority)) return priority