一个简单的实现
主要是通过循环和replace的方式进行敏感词的替换
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class NaiveFilter(): '''Filter Messages from keywords very simple filter implementation >>> f = NaiveFilter() >>> f.parse("filepath") >>> f.filter("hello sexy baby") hello **** baby ''' def __init__( self ): self .keywords = set ([]) def parse( self , path): for keyword in open (path): self .keywords.add(keyword.strip().decode( 'utf-8' ).lower()) def filter ( self , message, repl = "*" ): message = str (message).lower() for kw in self .keywords: message = message.replace(kw, repl) return message |
使用BSF(宽度优先搜索)进行实现
对于搜索查找进行了优化,对于英语单词,直接进行了按词索引字典查找。对于其他语言模式,我们采用逐字符查找匹配的一种模式。
BFS:宽度优先搜索方式
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class BSFilter: '''Filter Messages from keywords Use Back Sorted Mapping to reduce replacement times >>> f = BSFilter() >>> f.add("sexy") >>> f.filter("hello sexy baby") hello **** baby ''' def __init__( self ): self .keywords = [] self .kwsets = set ([]) self .bsdict = defaultdict( set ) self .pat_en = re. compile (r '^[0-9a-zA-Z]+$' ) # english phrase or not def add( self , keyword): if not isinstance (keyword, str ): keyword = keyword.decode( 'utf-8' ) keyword = keyword.lower() if keyword not in self .kwsets: self .keywords.append(keyword) self .kwsets.add(keyword) index = len ( self .keywords) - 1 for word in keyword.split(): if self .pat_en.search(word): self .bsdict[word].add(index) else : for char in word: self .bsdict[char].add(index) def parse( self , path): with open (path, "r" ) as f: for keyword in f: self .add(keyword.strip()) def filter ( self , message, repl = "*" ): if not isinstance (message, str ): message = message.decode( 'utf-8' ) message = message.lower() for word in message.split(): if self .pat_en.search(word): for index in self .bsdict[word]: message = message.replace( self .keywords[index], repl) else : for char in word: for index in self .bsdict[char]: message = message.replace( self .keywords[index], repl) return message |
使用DFA(Deterministic Finite Automaton)进行实现
DFA即Deterministic Finite Automaton,也就是确定有穷自动机。
使用了嵌套的字典来实现。
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class DFAFilter(): '''Filter Messages from keywords Use DFA to keep algorithm perform constantly >>> f = DFAFilter() >>> f.add("sexy") >>> f.filter("hello sexy baby") hello **** baby ''' def __init__( self ): self .keyword_chains = {} self .delimit = '\x00' def add( self , keyword): if not isinstance (keyword, str ): keyword = keyword.decode( 'utf-8' ) keyword = keyword.lower() chars = keyword.strip() if not chars: return level = self .keyword_chains for i in range ( len (chars)): if chars[i] in level: level = level[chars[i]] else : if not isinstance (level, dict ): break for j in range (i, len (chars)): level[chars[j]] = {} last_level, last_char = level, chars[j] level = level[chars[j]] last_level[last_char] = { self .delimit: 0 } break if i = = len (chars) - 1 : level[ self .delimit] = 0 def parse( self , path): with open (path,encoding = 'UTF-8' ) as f: for keyword in f: self .add(keyword.strip()) def filter ( self , message, repl = "*" ): if not isinstance (message, str ): message = message.decode( 'utf-8' ) message = message.lower() ret = [] start = 0 while start < len (message): level = self .keyword_chains step_ins = 0 for char in message[start:]: if char in level: step_ins + = 1 if self .delimit not in level[char]: level = level[char] else : ret.append(repl * step_ins) start + = step_ins - 1 break else : ret.append(message[start]) break else : ret.append(message[start]) start + = 1 return ''.join(ret) |
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原文链接:https://juejin.cn/post/7002068513070268424