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https://github.com/woodchen-ink/Q58Bot.git
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wood
cec72f173c
更新了bot_commands.py和link_filter.py，以改进关键词匹配和删除逻辑。现在在添加和删除关键词时，系统会考虑关键词中可能包含空格的情况。此外，处理删除操作时，对于不存在的确切匹配关键词，系统将提示可能相似的关键词供用户选择是否删除。在link_filter.py中，提高了should_filter方法的匹配效率。这些改进增强了关键词过滤器功能的鲁棒性和用户体验。
108 lines
3.6 KiB
Python
108 lines
3.6 KiB
Python
import re
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import json
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import tldextract
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import urllib.parse
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class LinkFilter:
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def __init__(self, keywords_file, whitelist_file):
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self.keywords_file = keywords_file
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self.whitelist_file = whitelist_file
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self.keywords = self.load_json(keywords_file)
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self.whitelist = self.load_json(whitelist_file)
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# 正则表达式匹配各种链接格式
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self.link_pattern = re.compile(r'''
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\b
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(?:
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(?:https?://)? # http:// or https:// (optional)
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(?:(?:www\.)? # www. (optional)
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(?:[a-zA-Z0-9-]+\.)+ # domain
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[a-zA-Z]{2,} # TLD
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| # or
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(?:t\.me|telegram\.me) # Telegram links
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)
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(?:/[^\s]*)? # optional path
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)
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\b
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''', re.VERBOSE | re.IGNORECASE)
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def load_json(self, file_path):
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try:
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with open(file_path, 'r') as f:
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return json.load(f)
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except FileNotFoundError:
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return []
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def save_keywords(self):
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with open(self.keywords_file, 'w') as f:
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json.dump(self.keywords, f)
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def is_whitelisted(self, link):
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extracted = tldextract.extract(link)
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domain = f"{extracted.domain}.{extracted.suffix}"
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return domain in self.whitelist
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def normalize_link(self, link):
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# 解析链接
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parsed = urllib.parse.urlparse(link)
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# 如果没有 scheme，添加 'https://'
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if not parsed.scheme:
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link = 'https://' + link
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parsed = urllib.parse.urlparse(link)
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# 重新组合链接，去除查询参数
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normalized = urllib.parse.urlunparse((
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parsed.scheme,
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parsed.netloc,
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parsed.path,
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'',
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'',
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''
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))
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return normalized.rstrip('/') # 移除尾部的斜杠
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def add_keyword(self, keyword):
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if self.link_pattern.match(keyword):
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keyword = self.normalize_link(keyword)
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if keyword not in self.keywords:
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self.keywords.append(keyword)
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self.save_keywords()
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def remove_keyword(self, keyword):
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if keyword in self.keywords:
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self.keywords.remove(keyword)
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self.save_keywords()
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return True
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return False
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def should_filter(self, text):
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# 检查是否包含关键词
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if any(keyword.lower() in text.lower() for keyword in self.keywords if not self.link_pattern.match(keyword)):
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return True, []
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links = self.link_pattern.findall(text)
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new_non_whitelisted_links = []
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for link in links:
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normalized_link = self.normalize_link(link)
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if not self.is_whitelisted(normalized_link):
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if normalized_link not in self.keywords:
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new_non_whitelisted_links.append(normalized_link)
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self.add_keyword(normalized_link)
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else:
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return True, [] # 如果找到已存在的非白名单链接，应该过滤
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return False, new_non_whitelisted_links
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def reload_keywords(self):
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self.keywords = self.load_json(self.keywords_file)
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def reload_whitelist(self):
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self.whitelist = self.load_json(self.whitelist_file)
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def save_whitelist(self):
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with open(self.whitelist_file, 'w') as f:
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json.dump(self.whitelist, f)
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