mirror of
https://github.com/PaiGramTeam/SIMNet.git
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242 lines
5.4 KiB
Python
242 lines
5.4 KiB
Python
"""Starrail chronicle character."""
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from typing import List, Optional, Any, Dict
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from pydantic import validator
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from simnet.models.base import APIModel
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from .. import character
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__all__ = [
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"StarRailEquipment",
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"RelicProp",
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"Relic",
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"Rank",
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"CharacterProp",
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"SkillStage",
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"Skill",
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"StarRailDetailCharacter",
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"EquipWiki",
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"PropertyInfo",
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"RecommendProperty",
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"RelicProperty",
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"StarRailDetailCharacters",
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]
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class StarRailEquipment(APIModel):
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"""Character equipment."""
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id: int
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level: int
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rank: int
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name: str
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desc: str
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icon: str
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class RelicProp(APIModel):
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"""Character relic property."""
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property_type: int
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times: int
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value: str
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class Relic(APIModel):
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"""Character relic."""
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id: int
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level: int
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pos: int
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name: str
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desc: str
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icon: str
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rarity: int
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main_property: RelicProp
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properties: List[RelicProp]
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class Rank(APIModel):
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"""Character rank."""
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id: int
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pos: int
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name: str
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icon: str
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desc: str
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is_unlocked: bool
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class CharacterProp(APIModel):
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"""Character property."""
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property_type: int
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base: str
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add: str
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final: str
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@property
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def show_add(self) -> bool:
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"""Show add."""
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return self.add not in ["0.0", "0.0%", "0"]
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class SkillStage(APIModel):
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"""Character skill stage."""
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desc: str
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name: str
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level: int
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remake: str
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item_url: str
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is_activated: bool
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is_rank_work: bool
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class Skill(APIModel):
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"""Character skill."""
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point_id: int
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point_type: int
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item_url: str
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level: int
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is_activated: bool
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is_rank_work: bool
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pre_point: int
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anchor: str
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remake: str
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skill_stages: List[SkillStage]
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class StarRailDetailCharacter(character.StarRailPartialCharacter):
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"""StarRail character with equipment and relics."""
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image: str
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equip: Optional[StarRailEquipment]
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relics: List[Relic]
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ornaments: List[Relic]
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ranks: List[Rank]
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properties: List[CharacterProp]
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skills: List[Skill]
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base_type: int
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figure_path: str
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@property
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def skills_map(self) -> List[List[Skill]]:
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"""Map skills."""
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data = []
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skills = self.skills.copy()
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for skill in skills.copy():
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if skill.pre_point == 0:
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data.append([skill])
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skills.remove(skill)
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while True:
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for skill in skills.copy():
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for item in data:
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item_ids = [i.point_id for i in item]
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if skill.pre_point in item_ids and skill.point_id not in item_ids:
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item.append(skill)
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skills.remove(skill)
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break
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if not skills:
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break
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new_data = []
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for item in data:
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if len(item) < 2:
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continue
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new_data.append(sorted(item, key=lambda x: x.point_id))
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return new_data
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@property
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def skills_single(self) -> List[Skill]:
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"""Single skills."""
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map_ids = []
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for item in self.skills_map:
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map_ids.extend([i.point_id for i in item])
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return [i for i in self.skills if i.point_id not in map_ids][5:]
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@property
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def skills_main(self) -> List[Skill]:
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"""Main skills."""
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return self.skills[:4]
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class EquipWiki(APIModel):
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"""Equipment wiki."""
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id: int
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url: str
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class PropertyInfo(APIModel):
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"""Property info."""
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property_type: int
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name: str
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icon: str
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property_name_relic: str
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property_name_filter: str
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class RecommendProperty(APIModel):
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"""Recommend property."""
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id: int
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recommend_relic_properties: List[int]
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custom_relic_properties: List[int]
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is_custom_property_valid: bool
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class RelicProperty(APIModel):
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"""Relic property."""
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property_type: int
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modify_property_type: int
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class StarRailDetailCharacters(APIModel):
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"""StarRail characters."""
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avatar_list: List[StarRailDetailCharacter]
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equip_wiki: List[EquipWiki]
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property_info: List[PropertyInfo]
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recommend_property: List[RecommendProperty]
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relic_properties: List[RelicProperty]
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@staticmethod
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def _parse(v: Dict[str, Any], key: str = None, value_key: str = None) -> List[Dict[str, Any]]:
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"""Parse dict to list."""
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new_list = []
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for k, value in v.items():
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if isinstance(value, str):
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v_ = {value_key: value}
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else:
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v_ = value
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if key:
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v_[key] = k
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new_list.append(v_)
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return new_list
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@validator("equip_wiki", pre=True)
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def parse_equip_wiki(cls, v: Dict[str, str]) -> List[Dict[str, str]]:
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"""Parse equip wiki."""
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return cls._parse(v, "id", "url")
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@validator("property_info", pre=True)
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def parse_property_info(cls, v: Dict[str, Any]) -> List[Dict[str, Any]]:
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"""Parse property info."""
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return cls._parse(v)
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@validator("recommend_property", pre=True)
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def parse_recommend_property(cls, v: Dict[str, Any]) -> List[Dict[str, Any]]:
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"""Parse recommend property."""
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return cls._parse(v, "id")
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def get_recommend_property_by_cid(self, character_id: int) -> Optional[RecommendProperty]:
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"""Get recommend property by character id."""
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for i in self.recommend_property:
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if i.id == character_id:
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return i
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return None
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