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    Python 敏感词过滤的实现示例

    作者:waws520 时间:2021-09-15 17:44

    目录
    •  一个简单的实现
    • 使用BSF(宽度优先搜索)进行实现
    • 使用DFA(Deterministic Finite Automaton)进行实现

     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

    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

    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。

    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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