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https://github.com/PaiGramTeam/PamGram.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
58 lines
1.7 KiB
Python
58 lines
1.7 KiB
Python
import re
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from typing import List
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from bs4 import BeautifulSoup
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from httpx import URL
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from typing_extensions import Self
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from models.wiki.base import SCRAPE_HOST, WikiModel
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__all__ = ['Material']
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class Material(WikiModel):
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"""材料
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Attributes:
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type: 类型
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source: 获取方式
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description: 描述
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serise: 材料系列
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"""
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type: str
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source: List[str]
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description: str
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@staticmethod
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def scrape_urls() -> List[URL]:
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return [SCRAPE_HOST.join(f'fam_wep_{i}/?lang=CHS') for i in ['primary', 'secondary', 'common']]
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@classmethod
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async def _parse_soup(cls, soup: BeautifulSoup) -> Self:
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"""解析材料页"""
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soup = soup.select('.wp-block-post-content')[0]
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tables = soup.find_all('table')
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table_rows = tables[0].find_all('tr')
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def get_table_text(row_num: int) -> str:
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"""一个快捷函数，用于返回表格对应行的最后一个单元格中的文本"""
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return table_rows[row_num].find_all('td')[-1].text.replace('\xa0', '')
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id_ = re.findall(r'/img/(.*?)\.webp', str(table_rows[0]))[0]
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name = get_table_text(0)
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rarity = len(table_rows[3].find_all('img'))
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type_ = get_table_text(1)
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source = list(
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filter(
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lambda x: x, # filter 在这里的作用是过滤掉为空的数据
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table_rows[-2].find_all('td')[-1].encode_contents().decode().split('<br/>')
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)
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)
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description = get_table_text(-1)
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return Material(id=id_, name=name, rarity=rarity, type=type_, source=source, description=description)
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@property
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def icon(self) -> str:
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return str(SCRAPE_HOST.join(f'/img/{self.id}.png'))
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