import numpy as np from module.handler.info_bar import InfoBarHandler from module.logger import logger from module.exception import PerspectiveError from module.map.grids import Grids, Grid from module.map.map_base import CampaignMap, location2node, location_ensure param_x = np.array([4.41071252e+00, -3.90656142e-03, 1.95849683e+02]) param_y_positive = np.array([4.88226475e+00, -2.79093133e-03, 1.39520005e+02]) param_y_negative = np.array([4.58377745e+00, 3.13441976e-04, 1.39028669e+02]) def swipe_multiply_1d(x, a, b, c): return a / (x + b) + c def swipe_multiply_2d(x, y): if abs(x) > 0.3: x = swipe_multiply_1d(abs(x), *param_x) * x else: x = x * 200 if abs(y) > 0.3: y = swipe_multiply_1d(y, *param_y_positive) * y if y > 0 else swipe_multiply_1d(-y, *param_y_negative) * y else: y = y * 140 return x, y class Camera(InfoBarHandler): map: CampaignMap camera = (0, 0) def _map_swipe(self, vector, drop_threshold=0.1): """ Args: vector(tuple, np.ndarray): float drop_threshold(float): swipe distance lower than this will be drop, because a closing swipe will be treat as a click in game. Returns: bool: if camera moved. """ x, y = vector if abs(x) > drop_threshold or abs(y) > drop_threshold: # Linear fit # x = x * 200 # y = y * 140 if self.config.CAMERA_SWIPE_MULTIPLY_X is not None and self.config.CAMERA_SWIPE_MULTIPLY_Y is not None: if callable(self.config.CAMERA_SWIPE_MULTIPLY_X): x = self.config.CAMERA_SWIPE_MULTIPLY_X(x) else: x = x * self.config.CAMERA_SWIPE_MULTIPLY_X if callable(self.config.CAMERA_SWIPE_MULTIPLY_Y): y = self.config.CAMERA_SWIPE_MULTIPLY_X(y) else: y = y * self.config.CAMERA_SWIPE_MULTIPLY_Y else: # Function fit x, y = swipe_multiply_2d(x, y) vector = (-int(x), -int(y)) self.device.swipe(vector) self.device.sleep(0.3) self.update() else: self.update(camera=False) def map_swipe(self, vector): """ Swipe to a grid using relative position. Remember to update before calling this. Args: vector(tuple): int Returns: bool: if camera moved. """ logger.info('Map swipe: %s' % str(vector)) vector = np.array(vector) self.camera = tuple(vector + self.camera) vector = np.array([0.5, 0.5]) - np.array(self.grids.center_offset) + vector try: self._map_swipe(vector) except PerspectiveError as e: self.handle_camera_outside_map(e) def focus_to_grid_center(self): """ Re-focus to the center of a grid. Returns: bool: Map swiped. """ if np.any(np.abs(self.grids.center_offset - 0.5) > self.config.MAP_GRID_CENTER_TOLERANCE): logger.info('Re-focus to grid center.') self.map_swipe((0, 0)) return True return False def update(self, camera=True): """Update map image Args: camera: True to update camera position and perspective data. """ self.device.screenshot() if not camera: self.grids.update(image=self.device.image) return True self.grids = Grids(self.device.image, config=self.config) # Catch perspective error known_exception = self.info_bar_count() if len(self.grids.horizontal) > self.map.shape[1] + 2 or len(self.grids.vertical) > self.map.shape[0] + 2: if not known_exception: logger.info('Perspective Error. Too many lines') self.grids.correct = False if len(self.grids.horizontal) <= 3 or len(self.grids.vertical) <= 3: if not known_exception: logger.info('Perspective Error. Too few lines') self.grids.correct = False if not self.grids.correct: if self.info_bar_count(): logger.info('Perspective error cause by info bar. Waiting.') self.handle_info_bar() return self.update(camera=camera) else: self.grids.save_error_image() # Set camera position if self.grids.left_edge: x = 0 + self.grids.center_grid[0] elif self.grids.right_edge: x = self.map.shape[0] - self.grids.shape[0] + self.grids.center_grid[0] else: x = self.camera[0] if self.grids.lower_edge: y = 0 + self.grids.center_grid[1] elif self.grids.upper_edge: y = self.map.shape[1] - self.grids.shape[1] + self.grids.center_grid[1] else: y = self.camera[1] if self.camera != (x, y): logger.info(f' camera corrected: {location2node(self.camera)} -> {location2node((x, y))}') self.camera = (x, y) self.show_camera() def predict(self, is_carrier_scan=False): self.grids.predict() self.map.update(grids=self.grids, camera=self.camera, is_carrier_scan=is_carrier_scan) def show_camera(self): logger.info(' Camera: %s' % location2node(self.camera)) def ensure_edge_insight(self, reverse=False, preset=None): """ Swipe to bottom left until two edges insight. Edges are used to locate camera. Args: reverse (bool): Reverse swipes. preset (tuple(int)): Set in map swipe manually. Returns: list[tuple]: Swipe record. """ logger.info('Ensure edge in sight.') record = [] while 1: try: if len(record) == 0: self.update() if preset is not None: self.map_swipe(preset) record.append(preset) x = 0 if self.grids.left_edge or self.grids.right_edge else 3 y = 0 if self.grids.lower_edge or self.grids.upper_edge else 2 if len(record) > 0: # Swipe even if two edges insight, this will avoid some embarrassing camera position. self.map_swipe((x, y)) except PerspectiveError as e: self.handle_camera_outside_map(e) continue record.append((x, y)) if x == 0 and y == 0: break if reverse: logger.info('Reverse swipes.') for vector in record[::-1]: x, y = vector if x != 0 and y != 0: self.map_swipe((-x, -y)) return record def handle_camera_outside_map(self, e): msg = str(e).split(':')[1].strip() logger.info(f'Camera outside map: {msg}') dic = {'to the left': (2, 0), 'to the right': (-2, 0), 'to the lower': (0, 2), 'to the upper': (0, -2)} self._map_swipe(dic[msg]) def focus_to(self, location, swipe_limit=(3, 2)): """Focus camera on a grid Args: location: grid swipe_limit(tuple): (x, y). Limit swipe in (-x, -y, x, y). """ location = location_ensure(location) logger.info('Focus to: %s' % location2node(location)) vector = np.array(location) - self.camera vector, sign = np.abs(vector), np.sign(vector) while 1: swipe = ( vector[0] if vector[0] < swipe_limit[0] else swipe_limit[0], vector[1] if vector[1] < swipe_limit[1] else swipe_limit[1] ) self.map_swipe(tuple(sign * swipe)) vector -= swipe if np.all(np.abs(vector) <= 0): break def full_scan(self, battle_count=None, mystery_count=0, siren_count=0, carrier_count=0, is_carrier_scan=False): """Scan the hole map. Args: battle_count: mystery_count: siren_count: carrier_count: is_carrier_scan: """ logger.info('Full scan start') self.map.reset_fleet() queue = self.map.camera_data while len(queue) > 0: if self.map.missing_is_none(battle_count, mystery_count, siren_count, carrier_count): logger.info('All spawn found, Early stopped.') break queue = queue.sort_by_camera_distance(self.camera) self.focus_to(queue[0]) self.predict(is_carrier_scan=is_carrier_scan) queue = queue[1:] if battle_count is not None: self.map.missing_predict(battle_count=battle_count, mystery_count=mystery_count, siren_count=siren_count, carrier_count=carrier_count) self.map.show() def in_sight(self, location, sight=None): """Make sure location in camera sight Args: location: sight (tuple): Such as (-3, -1, 3, 2). """ location = location_ensure(location) logger.info('In sight: %s' % location2node(location)) if sight is None: sight = self.map.camera_sight diff = np.array(location) - self.camera if diff[1] > sight[3]: y = diff[1] - sight[3] elif diff[1] < sight[1]: y = diff[1] - sight[1] else: y = 0 if diff[0] > sight[2]: x = diff[0] - sight[2] elif diff[0] < sight[0]: x = diff[0] - sight[0] else: x = 0 self.focus_to((self.camera[0] + x, self.camera[1] + y)) def convert_map_to_grid(self, location): """If self.grids doesn't contain this location, focus camera on the location and re-convert it. Args: location: Grid instance in self.map. Returns: Grid: Grid instance in self.grids. """ location = location_ensure(location) grid = np.array(location) - self.camera + self.grids.center_grid logger.info('Convert_map_to_grid') logger.info(f'Map: {location2node(location)}, ' f'Camera: {location2node(self.camera)}, ' f'Center: {location2node(self.grids.center_grid)}, ' f'grid: {location2node(grid)}') if grid in self.grids: return self.grids[grid] else: logger.warning('Convert_map_to_grid Failed.') self.grids.save_error_image() self.focus_to(location) grid = np.array(location) - self.camera + self.grids.center_grid return self.grids[grid] def full_scan_find_boss(self): logger.info('Full scan find boss.') self.map.reset_fleet() queue = self.map.select(may_boss=True) while len(queue) > 0: queue = queue.sort_by_camera_distance(self.camera) self.in_sight(queue[0]) self.predict() queue = queue[1:] boss = self.map.select(is_boss=True) boss = boss.add(self.map.select(may_boss=True, is_enemy=True)) if boss: logger.info(f'Boss found: {boss}') self.map.show() return True logger.warning('No boss found.') return False