71 lines
3.0 KiB
Python
71 lines
3.0 KiB
Python
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import difflib, json, requests
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from os import getcwd, sep
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from bs4 import BeautifulSoup
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from xpinyin import Pinyin
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from json.decoder import JSONDecodeError
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headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) "
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"Chrome/89.0.4389.82 Safari/537.36"}
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working_dir = getcwd()
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with open(f"{working_dir}{sep}assets{sep}data{sep}weapon.json", 'r', encoding='utf-8') as f:
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weapon_all = json.load(f)
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weapon_type = {1: "单手剑", 2: "双手剑", 3: "弓", 4: "法器", 5: "长枪"}
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def get_url(name: str):
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re = requests.get(url=f'https://genshin.minigg.cn/?data={name}', headers=headers)
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soup = BeautifulSoup(re.text, "lxml").body
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user_dict = json.loads(soup.text)
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return user_dict['icon']
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async def get_weapon(name: str):
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name = str(name)
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for i in weapon_all:
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if name in i['name']:
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try:
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url = get_url(i['name'][0])
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except JSONDecodeError:
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url = None
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text = f"<b>{i['name'][0]}</b> {'★' * i['star']}\n" \
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f"<b>类型：</b>{weapon_type[i['type']]}\n" \
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f"<b>1级基础攻击力：</b>{i['basic_attack']}\n" \
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f"<b>满级基础攻击力：</b>{i['max_attack']}\n" \
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f"<b>满级副属性：</b>{i['max_attribute']}\n" \
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f"<b>技能：</b>{i['skill']}"
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return text, url
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correct_result = auto_correct(name)
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if len(correct_result) > 1:
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return f"派蒙这里没找到武器 <code>{name}</code> ，你是要搜索如下的武器吗?\n{montage_result(correct_result)}", None
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elif len(correct_result) < 1:
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return "没有找到该武器,派蒙也米有办法！是不是名字错了？", None
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else:
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return f"派蒙这里没找到武器 <code>{name}</code> ，你是要搜索 <code>{correct_result[0]}</code> 吗？", None
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def auto_correct(name: str) -> list:
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with open(f"{working_dir}{sep}assets{sep}data{sep}weapon_index.json", "r", encoding="utf-8") as weapon_index_file:
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character_index = json.loads(weapon_index_file.read())
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input_pin_yin_list = Pinyin().get_pinyin(name).split("-")
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result_cache = []
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result = []
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for index_name in character_index:
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true_name = list(index_name.keys())[0]
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for input_pin_yin in input_pin_yin_list:
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for true_pin_yin in index_name[true_name]:
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if difflib.SequenceMatcher(None, true_pin_yin, input_pin_yin).quick_ratio() >= 1:
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result_cache.append(true_name)
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if difflib.SequenceMatcher(None, true_name, name).quick_ratio() >= 0.8:
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result_cache.append(true_name)
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for result_repeat in result_cache:
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if result_cache.count(result_repeat) > 1 and result_repeat not in result:
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result.append(result_repeat)
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return result
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def montage_result(correct_result: list) -> str:
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cause = correct_result[0]
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for i in range(1, len(correct_result)):
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cause = cause + "\n" + correct_result[i]
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return cause
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