mirror of
https://github.com/PaiGramTeam/MibooGram.git
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74 lines
2.2 KiB
Python
74 lines
2.2 KiB
Python
from abc import abstractmethod
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from typing import List, Optional
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from pydantic import BaseModel
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from thefuzz import fuzz
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__all__ = ("BaseEntry", "WeaponEntry", "WeaponsEntry", "StrategyEntry", "StrategyEntryList")
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class BaseEntry(BaseModel):
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"""所有可搜索条目的基类。
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Base class for all searchable entries."""
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key: str # 每个条目的Key必须唯一
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title: str
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description: str
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tags: Optional[List[str]] = []
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caption: Optional[str] = None
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parse_mode: Optional[str] = None
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photo_url: Optional[str] = None
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photo_file_id: Optional[str] = None
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document_file_id: Optional[str] = None
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@abstractmethod
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def compare_to_query(self, search_query: str) -> float:
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"""返回一个数字 ∈[0,100] 描述搜索查询与此条目的相似程度。
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Gives a number ∈[0,100] describing how similar the search query is to this entry."""
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class WeaponEntry(BaseEntry):
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def compare_to_query(self, search_query: str) -> float:
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score = 0.0
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if search_query == self.title:
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return 100
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if self.tags:
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if search_query in self.tags:
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return 99
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for tag in self.tags:
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_score = fuzz.partial_token_set_ratio(tag, search_query)
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if _score >= score:
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score = _score
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if score >= 90:
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return score * 0.99
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if self.description:
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_score = fuzz.partial_token_set_ratio(self.description, search_query)
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if _score >= score:
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return _score
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return score
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class WeaponsEntry(BaseModel):
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data: Optional[List[WeaponEntry]]
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class StrategyEntry(BaseEntry):
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def compare_to_query(self, search_query: str) -> float:
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score = 0.0
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if search_query == self.title:
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return 100
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if self.tags:
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if search_query in self.tags:
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return 99
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for tag in self.tags:
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_score = fuzz.partial_token_set_ratio(tag, search_query)
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if _score >= score:
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score = _score
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return score
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class StrategyEntryList(BaseModel):
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data: Optional[List[StrategyEntry]]
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