mirror of
https://github.com/LmeSzinc/StarRailCopilot.git
synced 2024-11-23 17:11:42 +00:00
373 lines
12 KiB
Python
373 lines
12 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._block_data = []
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self._spawn_data = []
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self._camera_data = []
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self.in_map_swipe_preset_data = None
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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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# camera_data can be generate automatically, but it's better to set it manually.
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self._camera_data = SelectedGrids(camera_2d(self._shape, sight=(-3, -1, 3, 2)))
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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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self._map_data = text
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for loca, data in self._parse_text(text):
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grid = GridInfo()
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grid.location = loca
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grid.weight = 10. # weight_data can be generate automatically
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grid.decode(data)
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self.grids[loca] = grid
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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):
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"""
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Args:
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grids:
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camera (tuple):
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"""
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# failure = 0
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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)
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# flag, fail = self.grids[loca].update(grid)
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# failure += fail
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# return failure
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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.wipe_out()
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grid.is_cleared = 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 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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spawn = {'battle': 0, 'enemy': 0, 'mystery': 0, 'siren': 0, 'boss': 0}
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# spawn = {'battle': 0, 'enemy': 0, 'mystery': 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) + data.get('siren', 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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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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self[location].cost = 0
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total = set([grid for grid in self.grids.keys()])
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visited = [location]
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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 np.array([(0, -1), (0, 1), (-1, 0), (1, 0)]):
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arr = tuple(arr + grid)
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if arr not in total or self[arr].is_land:
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continue
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cost = 1 if self[arr].is_ambush_save else ambush_cost
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cost += self[grid].cost
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if cost < self[arr].cost:
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self[arr].cost = cost
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self[arr].connection = grid
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elif cost == self[arr].cost:
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if abs(arr[0] - grid[0]) == 1:
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self[arr].connection = grid
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if self[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].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):
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"""
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Args:
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route (list[tuple]): list of grids.
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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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grid = route[index]
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if not self[grid].is_fleet:
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res.append(grid)
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else:
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if (index > 1) and (index + 1 not in indexes):
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res.append(route[index - 1])
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if (index < len(route) - 2) and (index + 1 not in indexes):
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res.append(route[index + 1])
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res.append(route[-1])
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return res
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def find_path(self, location):
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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)
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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 missing_get(self, battle_count, mystery_count=0):
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missing = self.spawn_data[battle_count].copy()
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may = {'enemy': 0, 'mystery': 0, 'siren': 0,'boss': 0}
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missing['enemy'] -= battle_count
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missing['mystery'] -= mystery_count
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for grid in self:
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for attr in may.keys():
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if grid.__getattribute__('is_' + attr):
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missing[attr] -= 1
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for grid in self:
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if grid.is_fleet or grid.is_mystery or grid.is_siren:
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upper = tuple(np.array(grid.location) + (0, -1))
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if upper in self:
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upper = self[upper]
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for attr in may.keys():
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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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logger.info('missing: %s' % missing)
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logger.info('may: %s' % may)
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return may, missing
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def missing_is_none(self, battle_count, mystery_count=0):
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may, missing = self.missing_get(battle_count, mystery_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):
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may, missing = self.missing_get(battle_count, mystery_count)
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# predict
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for grid in self:
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if grid.is_fleet or grid.is_mystery:
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upper = tuple(np.array(grid.location) + (0, -1))
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if upper in self:
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upper = self[upper]
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for attr in may.keys():
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if upper.__getattribute__('may_' + attr) 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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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:
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flag = False
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if flag:
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result.append(grid)
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return SelectedGrids(result)
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def flatten(self):
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"""
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Returns:
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list[GridInfo]:
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"""
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return self.grids.values()
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