SIMNet/simnet/models/starrail/chronicle/characters.py

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"""Starrail chronicle character."""
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from typing import List, Optional, Any, Dict
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__ = [
"StarRailEquipment",
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"RelicProp",
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"Relic",
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"Rank",
"CharacterProp",
"SkillStage",
"Skill",
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"StarRailDetailCharacter",
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"EquipWiki",
"PropertyInfo",
"RecommendProperty",
"RelicProperty",
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"StarRailDetailCharacters",
]
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class StarRailEquipment(APIModel):
"""Character equipment."""
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id: int
level: int
rank: int
name: str
desc: str
icon: str
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class RelicProp(APIModel):
"""Character relic property."""
property_type: int
times: int
value: str
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class Relic(APIModel):
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"""Character relic."""
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id: int
level: int
pos: int
name: str
desc: str
icon: str
rarity: int
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main_property: RelicProp
properties: List[RelicProp]
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class Rank(APIModel):
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"""Character rank."""
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id: int
pos: int
name: str
icon: str
desc: str
is_unlocked: bool
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class CharacterProp(APIModel):
"""Character property."""
property_type: int
base: str
add: str
final: str
@property
def show_add(self) -> bool:
"""Show add."""
return self.add not in ["0.0", "0.0%", "0"]
class SkillStage(APIModel):
"""Character skill stage."""
desc: str
name: str
level: int
remake: str
item_url: str
is_activated: bool
is_rank_work: bool
class Skill(APIModel):
"""Character skill."""
point_id: int
point_type: int
item_url: str
level: int
is_activated: bool
is_rank_work: bool
pre_point: int
anchor: str
remake: str
skill_stages: List[SkillStage]
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class StarRailDetailCharacter(character.StarRailPartialCharacter):
"""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]
ornaments: List[Relic]
ranks: List[Rank]
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properties: List[CharacterProp]
skills: List[Skill]
base_type: int
figure_path: str
@property
def skills_map(self) -> List[List[Skill]]:
"""Map skills."""
data = []
for skill in filter(lambda x: x.point_type == 3, self.skills):
data.append([skill])
skills = list(filter(lambda x: x.point_type == 1 and x.pre_point, self.skills))
for _ in range(10):
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for skill in skills.copy():
for item in data:
item_ids = [i.point_id for i in item]
if skill.pre_point in item_ids and skill.point_id not in item_ids:
item.append(skill)
skills.remove(skill)
break
if not skills:
break
new_data = []
for item in data:
new_data.append(sorted(item, key=lambda x: x.point_id))
return new_data
@property
def skills_single(self) -> List[Skill]:
"""Single skills."""
skills = list(filter(lambda x: x.point_type == 1, self.skills))
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map_ids = []
for item in self.skills_map:
map_ids.extend([i.point_id for i in item])
return [i for i in skills if i.point_id not in map_ids]
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@property
def skills_main(self) -> List[Skill]:
"""Main skills."""
return self.skills[:4]
class EquipWiki(APIModel):
"""Equipment wiki."""
id: int
url: str
class PropertyInfo(APIModel):
"""Property info."""
property_type: int
name: str
icon: str
property_name_relic: str
property_name_filter: str
class RecommendProperty(APIModel):
"""Recommend property."""
id: int
recommend_relic_properties: List[int]
custom_relic_properties: List[int]
is_custom_property_valid: bool
class RelicProperty(APIModel):
"""Relic property."""
property_type: int
modify_property_type: int
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class StarRailDetailCharacters(APIModel):
"""StarRail characters."""
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avatar_list: List[StarRailDetailCharacter]
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equip_wiki: List[EquipWiki]
property_info: List[PropertyInfo]
recommend_property: List[RecommendProperty]
relic_properties: List[RelicProperty]
@staticmethod
def _parse(v: Dict[str, Any], key: str = None, value_key: str = None) -> List[Dict[str, Any]]:
"""Parse dict to list."""
if isinstance(v, list):
return v
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new_list = []
for k, value in v.items():
if isinstance(value, str):
v_ = {value_key: value}
else:
v_ = value
if key:
v_[key] = k
new_list.append(v_)
return new_list
@validator("equip_wiki", pre=True)
def parse_equip_wiki(cls, v: Dict[str, str]) -> List[Dict[str, str]]:
"""Parse equip wiki."""
return cls._parse(v, "id", "url")
@validator("property_info", pre=True)
def parse_property_info(cls, v: Dict[str, Any]) -> List[Dict[str, Any]]:
"""Parse property info."""
return cls._parse(v)
@validator("recommend_property", pre=True)
def parse_recommend_property(cls, v: Dict[str, Any]) -> List[Dict[str, Any]]:
"""Parse recommend property."""
return cls._parse(v, "id")
def get_recommend_property_by_cid(self, character_id: int) -> Optional[RecommendProperty]:
"""Get recommend property by character id."""
for i in self.recommend_property:
if i.id == character_id:
return i
return None