mirror of
https://github.com/LmeSzinc/StarRailCopilot.git
synced 2024-11-30 03:16:08 +00:00
515 lines
17 KiB
Python
515 lines
17 KiB
Python
import numpy as np
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from module.base.utils import location2node, node2location
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from module.logger import logger
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from module.map.grid_info import GridInfo
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from module.map.map_grids import SelectedGrids
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def location_ensure(location):
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if isinstance(location, GridInfo):
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return location.location
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elif isinstance(location, str):
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return node2location(location)
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else:
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return location
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def camera_1d(shape, sight):
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start, step = abs(sight[0]), sight[1] - sight[0] + 1
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if shape <= start:
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out = shape // 2
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else:
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out = list(range(start, 26, step))
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out.append(shape - sight[1])
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out = [x for x in set(out) if x <= shape - sight[1]]
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return out
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def camera_2d(shape, sight):
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x = camera_1d(shape=shape[0], sight=[sight[0], sight[2]])
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y = camera_1d(shape=shape[1], sight=[sight[1], sight[3]])
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out = np.array(np.meshgrid(x, y)).T.reshape(-1, 2)
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return [tuple(c) for c in out]
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class CampaignMap:
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def __init__(self, name=None):
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self.name = name
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self.grids = {}
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self._shape = (0, 0)
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self._map_data = ''
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self._weight_data = ''
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self._wall_data = ''
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self._block_data = []
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self._spawn_data = []
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self._spawn_data_backup = []
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self._camera_data = []
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self._camera_data_spawn_point = []
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self.in_map_swipe_preset_data = None
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self.poor_map_data = False
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self.camera_sight = (-3, -1, 3, 2)
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self.grid_connection = {}
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def __iter__(self):
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return iter(self.grids.values())
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def __getitem__(self, item):
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"""
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Args:
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item:
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Returns:
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GridInfo:
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"""
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return self.grids[tuple(item)]
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def __contains__(self, item):
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return tuple(item) in self.grids
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@staticmethod
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def _parse_text(text):
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text = text.strip()
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for y, row in enumerate(text.split('\n')):
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row = row.strip()
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for x, data in enumerate(row.split(' ')):
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yield (x, y), data
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@property
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def shape(self):
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return self._shape
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@shape.setter
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def shape(self, scale):
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self._shape = node2location(scale.upper())
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for y in range(self._shape[1] + 1):
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for x in range(self._shape[0] + 1):
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grid = GridInfo()
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grid.location = (x, y)
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self.grids[(x, y)] = grid
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# camera_data can be generate automatically, but it's better to set it manually.
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self.camera_data = [location2node(loca) for loca in camera_2d(self._shape, sight=self.camera_sight)]
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self.camera_data_spawn_point = []
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# weight_data set to 10.
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for grid in self:
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grid.weight = 10.
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# Initialize grid connection.
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self.grid_connection_initial()
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@property
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def map_data(self):
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return self._map_data
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@map_data.setter
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def map_data(self, text):
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if not len(self.grids.keys()):
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grids = np.array([loca for loca, _ in self._parse_text(text)])
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self.shape = location2node(tuple(np.max(grids, axis=0)))
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self._map_data = text
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for loca, data in self._parse_text(text):
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self.grids[loca].decode(data)
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@property
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def wall_data(self):
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return self._wall_data
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@wall_data.setter
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def wall_data(self, text):
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self._wall_data = text
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def grid_connection_initial(self, wall=False):
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"""
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Args:
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wall (bool): If use wall_data
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Returns:
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bool: If used wall data.
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"""
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# Generate grid connection.
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total = set([grid for grid in self.grids.keys()])
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for grid in self:
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connection = set()
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for arr in np.array([(0, -1), (0, 1), (-1, 0), (1, 0)]):
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arr = tuple(arr + grid.location)
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if arr in total:
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connection.add(self[arr])
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self.grid_connection[grid] = connection
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if not wall or not self._wall_data:
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return False
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# Use wall_data to delete connection.
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wall = []
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for y, line in enumerate([l for l in self._wall_data.split('\n') if l]):
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for x, letter in enumerate(line[4:-2]):
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if letter != ' ':
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wall.append((x, y))
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wall = np.array(wall)
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vert = wall[np.all([wall[:, 0] % 4 == 2, wall[:, 1] % 2 == 0], axis=0)]
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hori = wall[np.all([wall[:, 0] % 4 == 0, wall[:, 1] % 2 == 1], axis=0)]
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disconnect = []
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for loca in (vert - (2, 0)) // (4, 2):
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disconnect.append([loca, loca + (1, 0)])
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for loca in (hori - (0, 1)) // (4, 2):
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disconnect.append([loca, loca + (0, 1)])
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for g1, g2 in disconnect:
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g1 = self[g1]
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g2 = self[g2]
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self.grid_connection[g1].remove(g2)
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self.grid_connection[g2].remove(g1)
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return True
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def show(self):
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# logger.info('Showing grids:')
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logger.info(' ' + ' '.join([' ' + chr(x + 64 + 1) for x in range(self.shape[0] + 1)]))
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for y in range(self.shape[1] + 1):
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text = str(y + 1) + ' ' + ' '.join(
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[self[(x, y)].str if (x, y) in self else ' ' for x in range(self.shape[0] + 1)])
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logger.info(text)
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def update(self, grids, camera, is_carrier_scan=False):
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"""
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Args:
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grids:
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camera (tuple):
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is_carrier_scan (bool):
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"""
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offset = np.array(camera) - np.array(grids.center_grid)
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grids.show()
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for grid in grids.grids.values():
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loca = tuple(offset + grid.location)
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if loca in self.grids:
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self.grids[loca].update(grid, is_carrier_scan=is_carrier_scan, ignore_may=self.poor_map_data)
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return True
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def reset(self):
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for grid in self:
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grid.reset()
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def reset_fleet(self):
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for grid in self:
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grid.is_current_fleet = False
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@property
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def camera_data(self):
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"""
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Returns:
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SelectedGrids:
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"""
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return self._camera_data
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@camera_data.setter
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def camera_data(self, nodes):
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"""
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Args:
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nodes (list): Contains str.
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"""
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self._camera_data = SelectedGrids([self[node2location(node)] for node in nodes])
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@property
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def camera_data_spawn_point(self):
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"""Additional camera_data to detect fleets at spawn point.
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Returns:
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SelectedGrids:
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"""
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return self._camera_data_spawn_point
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@camera_data_spawn_point.setter
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def camera_data_spawn_point(self, nodes):
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"""
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Args:
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nodes (list): Contains str.
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"""
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self._camera_data_spawn_point = SelectedGrids([self[node2location(node)] for node in nodes])
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@property
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def spawn_data(self):
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return self._spawn_data
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@spawn_data.setter
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def spawn_data(self, data_list):
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self._spawn_data_backup = data_list
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spawn = {'battle': 0, 'enemy': 0, 'mystery': 0, 'siren': 0, 'boss': 0}
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for data in data_list:
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spawn['battle'] = data['battle']
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spawn['enemy'] += data.get('enemy', 0)
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spawn['mystery'] += data.get('mystery', 0)
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spawn['siren'] += data.get('siren', 0)
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spawn['boss'] += data.get('boss', 0)
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self._spawn_data.append(spawn.copy())
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@property
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def weight_data(self):
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return self._weight_data
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@weight_data.setter
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def weight_data(self, text):
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self._weight_data = text
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for loca, data in self._parse_text(text):
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self[loca].weight = float(data)
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@property
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def is_map_data_poor(self):
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if not self.select(may_enemy=True) or not self.select(may_boss=True) or not self.select(is_spawn_point=True):
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return False
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if not len(self._spawn_data_backup):
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return False
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return True
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def show_cost(self):
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logger.info(' ' + ' '.join([' ' + chr(x + 64 + 1) for x in range(self.shape[0] + 1)]))
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for y in range(self.shape[1] + 1):
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text = str(y + 1) + ' ' + ' '.join(
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[str(self[(x, y)].cost).rjust(4) if (x, y) in self else ' ' for x in range(self.shape[0] + 1)])
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logger.info(text)
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def show_connection(self):
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logger.info(' ' + ' '.join([' ' + chr(x + 64 + 1) for x in range(self.shape[0] + 1)]))
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for y in range(self.shape[1] + 1):
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text = str(y + 1) + ' ' + ' '.join(
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[location2node(self[(x, y)].connection) if (x, y) in self and self[(x, y)].connection else ' ' for x in
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range(self.shape[0] + 1)])
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logger.info(text)
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def find_path_initial(self, location, has_ambush=True):
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location = location_ensure(location)
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ambush_cost = 10 if has_ambush else 1
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for grid in self:
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grid.cost = 9999
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grid.connection = None
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start = self[location]
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start.cost = 0
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visited = [start]
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visited = set(visited)
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while 1:
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new = visited.copy()
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for grid in visited:
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for arr in self.grid_connection[grid]:
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if arr.is_land:
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continue
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cost = 1 if arr.is_ambush_save else ambush_cost
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cost += grid.cost
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if cost < arr.cost:
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arr.cost = cost
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arr.connection = grid.location
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elif cost == arr.cost:
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if abs(arr.location[0] - grid.location[0]) == 1:
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arr.connection = grid.location
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if arr.is_sea:
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new.add(arr)
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if len(new) == len(visited):
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break
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visited = new
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# self.show_cost()
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# self.show_connection()
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def _find_path(self, location):
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"""
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Args:
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location (tuple):
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Returns:
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list[tuple]: walking route.
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Examples:
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MAP_7_2._find_path(node2location('H2'))
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[(2, 2), (3, 2), (4, 2), (5, 2), (6, 2), (6, 1), (7, 1)] # ['C3', 'D3', 'E3', 'F3', 'G3', 'G2', 'H2']
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"""
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if self[location].cost == 0:
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return [location]
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if self[location].connection is None:
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return None
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res = [location]
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while 1:
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location = self[location].connection
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if len(res) > 30:
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logger.warning('Route too long')
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logger.warning(res)
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# exit(1)
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if location is not None:
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res.append(location)
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else:
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break
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res.reverse()
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if len(res) == 0:
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logger.warning('No path found. Destination: %s' % str(location))
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return [location, location]
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return res
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def _find_route_node(self, route, step=0):
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"""
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Args:
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route (list[tuple]): list of grids.
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step (int): Fleet step in event map. Default to 0.
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Returns:
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list[tuple]: list of walking node.
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Examples:
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MAP_7_2._find_route_node([(2, 2), (3, 2), (4, 2), (5, 2), (6, 2), (6, 1), (7, 1)])
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[(6, 2), (7, 1)]
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"""
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res = []
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diff = np.abs(np.diff(route, axis=0))
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turning = np.diff(diff, axis=0)[:, 0]
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indexes = np.where(turning == -1)[0] + 1
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for index in indexes:
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if not self[route[index]].is_fleet:
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res.append(index)
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else:
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logger.info(f'Path_node_avoid: {self[route[index]]}')
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if (index > 1) and (index - 1 not in indexes):
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res.append(index - 1)
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if (index < len(route) - 2) and (index + 1 not in indexes):
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res.append(index + 1)
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res.append(len(route) - 1)
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# res = [6, 8]
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if step == 0:
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return [route[index] for index in res]
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res.insert(0, 0)
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inserted = []
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for left, right in zip(res[:-1], res[1:]):
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for index in list(range(left, right, step))[1:]:
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if not self[route[index]].is_fleet:
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inserted.append(index)
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else:
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logger.info(f'Path_node_avoid: {self[route[index]]}')
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if (index > 1) and (index - 1 not in res):
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inserted.append(index - 1)
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if (index < len(route) - 2) and (index + 1 not in res):
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inserted.append(index + 1)
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inserted.append(right)
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res = inserted
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# res = [3, 6, 8]
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return [route[index] for index in res]
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def find_path(self, location, step=0):
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location = location_ensure(location)
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path = self._find_path(location)
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if path is None or not len(path):
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logger.warning('No path found. Return destination.')
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return [location]
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logger.info('Path: %s' % '[' + ', ' .join([location2node(grid) for grid in path]) + ']')
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path = self._find_route_node(path, step=step)
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logger.info('Path: %s' % '[' + ', ' .join([location2node(grid) for grid in path]) + ']')
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return path
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def grid_covered(self, grid, location=None):
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"""
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Args:
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grid (GridInfo)
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location (list[tuple[int]]): Relative coordinate of the covered grid.
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Returns:
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list[GridInfo]:
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"""
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if location is None:
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covered = [tuple(np.array(grid.location) + upper) for upper in grid.covered_grid()]
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else:
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covered = [tuple(np.array(grid.location) + upper) for upper in location]
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covered = [self[upper] for upper in covered if upper in self]
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return covered
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def missing_get(self, battle_count, mystery_count=0, siren_count=0, carrier_count=0):
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try:
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missing = self.spawn_data[battle_count].copy()
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except IndexError:
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missing = self.spawn_data[-1].copy()
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may = {'enemy': 0, 'mystery': 0, 'siren': 0, 'boss': 0, 'carrier': 0}
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missing['enemy'] -= battle_count - siren_count
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missing['mystery'] -= mystery_count
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missing['siren'] -= siren_count
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missing['carrier'] = carrier_count - self.select(is_enemy=True, may_enemy=False).count
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for grid in self:
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for attr in ['enemy', 'mystery', 'siren', 'boss']:
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if grid.__getattribute__('is_' + attr) and grid.__getattribute__('may_' + attr):
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missing[attr] -= 1
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for grid in self:
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for upper in self.grid_covered(grid):
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for attr in ['enemy', 'mystery', 'siren', 'boss']:
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if upper.__getattribute__('may_' + attr) and not upper.__getattribute__('is_' + attr):
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may[attr] += 1
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if upper.may_carrier:
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may['carrier'] += 1
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logger.attr('enemy_missing',
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', '.join([f'{k[:2].upper()}:{str(v).rjust(2)}' for k, v in missing.items() if k != 'battle']))
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logger.attr('enemy_may____',
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', '.join([f'{k[:2].upper()}:{str(v).rjust(2)}' for k, v in may.items()]))
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return may, missing
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def missing_is_none(self, battle_count, mystery_count=0, siren_count=0, carrier_count=0):
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if self.poor_map_data:
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return False
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may, missing = self.missing_get(battle_count, mystery_count, siren_count, carrier_count)
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for key in may.keys():
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if missing[key] != 0:
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return False
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return True
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def missing_predict(self, battle_count, mystery_count=0, siren_count=0, carrier_count=0):
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if self.poor_map_data:
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return False
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may, missing = self.missing_get(battle_count, mystery_count, siren_count, carrier_count)
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# predict
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for grid in self:
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for upper in self.grid_covered(grid):
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for attr in ['enemy', 'mystery', 'siren', 'boss']:
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if upper.__getattribute__('may_' + attr) and missing[attr] > 0 and missing[attr] == may[attr]:
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logger.info('Predict %s to be %s' % (location2node(upper.location), attr))
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upper.__setattr__('is_' + attr, True)
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if carrier_count:
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if upper.may_carrier and missing['carrier'] > 0 and missing['carrier'] == may['carrier']:
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logger.info('Predict %s to be enemy' % location2node(upper.location))
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upper.__setattr__('is_enemy', True)
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def select(self, **kwargs):
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"""
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Args:
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**kwargs: Attributes of Grid.
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Returns:
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SelectedGrids:
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"""
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result = []
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for grid in self:
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flag = True
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for k, v in kwargs.items():
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if grid.__getattribute__(k) != v:
|
|
flag = False
|
|
if flag:
|
|
result.append(grid)
|
|
|
|
return SelectedGrids(result)
|
|
|
|
def flatten(self):
|
|
"""
|
|
|
|
Returns:
|
|
list[GridInfo]:
|
|
"""
|
|
return self.grids.values()
|