StarRailCopilot/module/map/camera.py

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import numpy as np
from module.exception import PerspectiveError
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from module.handler.info_handler import InfoHandler
from module.logger import logger
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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
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class Camera(InfoHandler):
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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)
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vector = (-int(x), -int(y))
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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)
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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
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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
try:
self.grids = Grids(self.device.image, config=self.config)
except PerspectiveError as e:
if self.info_bar_count():
logger.info('Perspective error cause by info bar. Waiting.')
self.handle_info_bar()
return self.update(camera=camera)
else:
raise e
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# 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')
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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')
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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)
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self.show_camera()
def predict(self, is_carrier_scan=False):
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self.grids.predict()
self.map.update(grids=self.grids, camera=self.camera, is_carrier_scan=is_carrier_scan)
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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
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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])
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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):
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"""Scan the hole map.
Args:
battle_count:
mystery_count:
siren_count:
carrier_count:
is_carrier_scan:
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"""
logger.info('Full scan start')
self.map.reset_fleet()
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queue = self.map.camera_data
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if battle_count == 0:
queue.add(self.map.camera_data_spawn_point)
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while len(queue) > 0:
if self.map.missing_is_none(battle_count, mystery_count, siren_count, carrier_count):
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if battle_count == 0 and queue.count != queue.delete(self.map.camera_data_spawn_point).count:
logger.info('Continue scanning spawn points.')
pass
else:
logger.info('All spawn found, Early stopped.')
break
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queue = queue.sort_by_camera_distance(self.camera)
self.focus_to(queue[0])
self.predict(is_carrier_scan=is_carrier_scan)
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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)
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self.map.show()
def in_sight(self, location, sight=None):
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"""Make sure location in camera sight
Args:
location:
sight (tuple): Such as (-3, -1, 3, 2).
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"""
location = location_ensure(location)
logger.info('In sight: %s' % location2node(location))
if sight is None:
sight = self.map.camera_sight
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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)}')
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if grid in self.grids:
return self.grids[grid]
else:
logger.warning('Convert_map_to_grid Failed.')
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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()
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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