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https://github.com/PaiGramTeam/PaiGram.git
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91a133b694
1. 使用 `pydantic` 重写了 wiki 模块所使用的 model 2. 添加了 weapon_level.json 用于后续计算武器升级所需的经验 3. 修改了 wiki 插件，以适应新的 model
133 lines
3.2 KiB
Python
133 lines
3.2 KiB
Python
from enum import Enum
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from typing import Optional
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from typing_extensions import Self
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from models.wiki.base import SCRAPE_HOST
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__all__ = [
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'Element',
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'WeaponType',
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'AttributeType',
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'Association',
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]
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class Element(Enum):
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"""元素"""
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Pyro = '火'
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Hydro = '水'
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Electro = '雷'
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Cryo = '冰'
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Dendro = '草'
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Anemo = '风'
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Geo = '岩'
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Multi = '无' # 主角
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_WEAPON_ICON_MAP = {
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'Sword': SCRAPE_HOST.join('img/s_23101.png'),
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'Claymore': SCRAPE_HOST.join('img/s_163101.png'),
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'Polearm': SCRAPE_HOST.join('img/s_233101.png'),
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'Catalyst': SCRAPE_HOST.join('img/s_43101.png'),
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'Bow': SCRAPE_HOST.join('img/s_213101.png'),
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}
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class WeaponType(Enum):
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"""武器类型"""
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Sword = '单手剑'
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Claymore = '双手剑'
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Polearm = '长柄武器'
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Catalyst = '法器'
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Bow = '弓'
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def icon_url(self) -> str:
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return str(_WEAPON_ICON_MAP.get(self.name))
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_ATTR_TYPE_MAP = {
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# 这个字典用于将 Honey 页面中遇到的 属性的缩写的字符 转为 AttributeType 的字符
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# 例如 Honey 页面上写的 HP% 则对应 HP_p
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"HP": ['Health'],
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"HP_p": ['HP%', 'Health %'],
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"ATK": ['Attack'],
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"ATK_p": ['Atk%', 'Attack %'],
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"DEF": ['Defense'],
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"DEF_p": ['Def%', 'Defense %'],
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"EM": ['Elemental Mastery'],
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"ER": ['ER%', 'Energy Recharge %'],
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"CR": ['CrR%', 'Critical Rate %', 'CritRate%'],
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"CD": ['Crd%', 'Critical Damage %', 'CritDMG%'],
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"PD": ['Phys%', 'Physical Damage %'],
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"HB": [],
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"Pyro": [],
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"Hydro": [],
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"Electro": [],
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"Cryo": [],
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"Dendro": [],
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"Anemo": [],
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"Geo": [],
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}
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class AttributeType(Enum):
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"""属性枚举类。包含了武器和圣遗物的属性。"""
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HP = "生命"
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HP_p = "生命%"
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ATK = "攻击力"
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ATK_p = "攻击力%"
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DEF = "防御力"
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DEF_p = "防御力%"
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EM = "元素精通"
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ER = "元素充能效率"
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CR = "暴击率"
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CD = "暴击伤害"
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PD = "物理伤害加成"
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HB = "治疗加成"
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Pyro = '火元素伤害加成'
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Hydro = '水元素伤害加成'
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Electro = '雷元素伤害加成'
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Cryo = '冰元素伤害加成'
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Dendro = '草元素伤害加成'
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Anemo = '风元素伤害加成'
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Geo = '岩元素伤害加成'
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@classmethod
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def convert(cls, string: str) -> Optional[Self]:
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string = string.strip()
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for k, v in _ATTR_TYPE_MAP.items():
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if string == k or string in v or string.upper() == k:
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return cls[k]
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_ASSOCIATION_MAP = {
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'Other': ['Mainactor', 'Ranger', 'Fatui'],
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'Snezhnaya': [],
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'Sumeru': [],
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'Inazuma': [],
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'Liyue': [],
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'Mondstadt': [],
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}
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class Association(Enum):
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"""角色所属地区"""
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Other = '其它'
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Snezhnaya = '至冬'
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Sumeru = '须弥'
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Inazuma = '稻妻'
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Liyue = '璃月'
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Mondstadt = '蒙德'
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@classmethod
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def convert(cls, string: str) -> Optional[Self]:
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string = string.strip()
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for k, v in _ASSOCIATION_MAP.items():
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if string == k or string in v:
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return cls[k]
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string = string.lower().title()
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if string == k or string in v:
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return cls[k]
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return cls[string]
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