Files
dcalc/backend/core/basic/equipment.py
T
2025-03-10 15:10:03 +08:00

126 lines
4.0 KiB
Python

from database.models import Session, EquData, SuitData
from database.connect import get_db_engine as get_engine
from functools import cache
def parse_to_number_list(info: str, default: list[float] = [0]) -> list[float]:
return default if not info else [float(i) for i in info.split(',')]
class Equ:
id: str
name: str
rarity: str
itemType: str
itemDetailType: str
Point: list[float] | float
categorize: str
imageUrl: str
detail: str
bufferDetail: str
STR: list[float] | float
INT: list[float] | float
Vitality: list[float] | float
Spirit: list[float] | float
AtkP: list[float] | float
AtkM: list[float] | float
AtkI: list[float] | float
SkillAttack: list[float] | float
Attack: list[float] | float
Buffer: list[float] | float
max_adaptation: int
def __init__(self, **kwargs):
self.__dict__.update(kwargs)
def adapt(self, adaptation: int = 0):
"""调适
Args:
adaptation (int): 调适等级
"""
temp = self.__dict__.copy()
keys = [key for key in EquData.__dict__.keys() if key[0].isupper()]
for attr in keys:
value = getattr(self, attr)
temp[attr] = value[min(adaptation, len(value) - 1)] if isinstance(value, list) else value
return Equ(**temp)
class Suit:
id: int
suitId: int
suitName: str
rarity: str
name: str
point: int
level: int
count: int
SkillAttack: float
Attack: float
def __init__(self, **kwargs):
self.__dict__.update(kwargs)
class Equipments:
def __init__(self, version='0'):
self.version = version
self.engine = get_engine(version)
self.equs: list[Equ] = []
self.equ_dict: dict[str, Equ] = {}
self.suits: list[Suit] = []
self.suit_dict: dict[str, Suit] = {}
self.init_equs()
self.init_suits()
self.engine.dispose()
def init_equs(self):
"""从数据库中获取所有装备信息"""
with Session(self.engine) as session:
db_list = session.query(EquData).all()
keys = [key for key in EquData.__dict__.keys() if key[0].isupper()] + ['suit']
for item in db_list:
max_adaptation = 0
item.id = str(item.id)
for attr in keys:
value = parse_to_number_list(getattr(item, attr))
max_adaptation = max(max_adaptation, len(value) - 1)
setattr(item, attr, value)
equ_dict = {k: v for k, v in item.__dict__.items() if not k.startswith('_')}
equ_dict['max_adaptation'] = max_adaptation
equ = Equ(**equ_dict)
self.equs.append(equ)
self.equ_dict[equ.id] = equ
def init_suits(self):
"""从数据库中获取所有套装信息"""
with Session(self.engine) as session:
db_list = session.query(SuitData).all()
for item in db_list:
suit = Suit(**{k: v for k, v in item.__dict__.items() if not k.startswith('_')})
self.suits.append(suit)
self.suit_dict.setdefault(str(suit.suitId), []).append(suit)
pass
def get_suit_info(self, suitId: str | int, point: int = 0, count: int = 0) -> list[Suit]:
"""根据套装点数返回对应适用的套装属性\n
新套装只需要传入suitID和point即可,count默认为0\n
老套装需要传入suitID和count即可,point默认为0
"""
# 先筛选出点数小于等于point和数量小于等于count的套装
suits: list[Suit] = [suit for suit in self.suit_dict[str(suitId)] if suit.point <= point and suit.count <= count]
result: dict[int, Suit] = {}
# 取每种count套装中点数最高的
for suit in suits:
if suit.count not in result or suit.point > result[suit.count].point:
result[suit.count] = suit
return list(result.values())
@cache
def get_equipment(version: str = '0') -> Equipments:
# print('加载装备信息')
return Equipments(version)