MibooGram/core/search/models.py

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2022-12-04 11:56:39 +00:00
from abc import abstractmethod
from typing import Optional, List
from pydantic import BaseModel
__all__ = ["BaseEntry", "WeaponEntry", "WeaponsEntry", "StrategyEntry", "StrategyEntryList"]
from thefuzz import fuzz
class BaseEntry(BaseModel):
"""所有可搜索条目的基类。
Base class for all searchable entries."""
key: str # 每个条目的Key必须唯一
title: str
description: str
tags: Optional[List[str]] = []
caption: Optional[str] = None
parse_mode: Optional[str] = None
photo_url: Optional[str] = None
photo_file_id: Optional[str] = None
@abstractmethod
def compare_to_query(self, search_query: str) -> float:
"""返回一个数字 ∈[0,100] 描述搜索查询与此条目的相似程度。
Gives a number [0,100] describing how similar the search query is to this entry."""
class WeaponEntry(BaseEntry):
def compare_to_query(self, search_query: str) -> float:
score = 0.0
if search_query == self.title:
return 100
if self.tags:
if search_query in self.tags:
return 99
for tag in self.tags:
_score = fuzz.partial_token_set_ratio(tag, search_query)
if _score >= score:
score = _score
if score >= 90:
return score * 0.99
if self.description:
_score = fuzz.partial_token_set_ratio(self.description, search_query)
if _score >= score:
return _score
return score
class WeaponsEntry(BaseModel):
data: Optional[List[WeaponEntry]]
class StrategyEntry(BaseEntry):
def compare_to_query(self, search_query: str) -> float:
score = 0.0
if search_query == self.title:
return 100
if self.tags:
if search_query in self.tags:
return 99
for tag in self.tags:
_score = fuzz.partial_token_set_ratio(tag, search_query)
if _score >= score:
score = _score
return score
class StrategyEntryList(BaseModel):
data: Optional[List[StrategyEntry]]