python实现支持unicode中文的AC自动机


最近开始从分析数据,要从大量短文本中匹配很多关键字,如果暴力find的话,发现CPU成为了瓶颈,于是想到了AC自动机

AC自动机是多模式匹配的一个经典数据结构,原理是和KMP一样的构造fail指针,不过AC自动机是在Trie树上构造的,但原理是一样的。

为了能够匹配unicode,我讲unicode编码之后,按照每4位进行索引,变成了16叉trie树。

其实这种事情应该用C/C++来写的,不过我不太会使用python调用c,所以就用python改写了

下面是代码

 

 

[python] #coding=utf-8  
 
KIND = 16 
#BASE = ord('a')  
 
class Node(): 
    def __init__(self): 
        self.fail = None 
        self.next = [None]*KIND 
        self.end = False 
 
class AC_Automachine(): 
    def __init__(self): 
        self.root = Node() 
        self.queue = [] 
         
    def getIndex(self,char): 
        return ord(char)# - BASE  
     
    def insert(self,string): 
        p = self.root 
        for char in string: 
            index = self.getIndex(char) 
            if p.next[index] == None: 
                p.next[index] = Node() 
            p = p.next[index] 
        p.end = True 
         
    def build_automachine(self): 
        self.root.fail = None 
        self.queue.append(self.root) 
        while len(self.queue)!=0: 
            parent = self.queue[0] 
            self.queue.pop(0) 
            for i,child in enumerate(parent.next): 
                if child == None:continue 
                if parent == self.root: 
                    child.fail = self.root 
                else: 
                    failp = parent.fail 
                    while failp != None: 
                        if failp.next[i] != None: 
                            child.fail = failp.next[i] 
                            break 
                        failp = failp.fail 
                    if failp==None: child.fail=self.root 
                self.queue.append(child) 
                 
    def matchOne(self,string): 
        p = self.root 
        for char in string: 
            index = self.getIndex(char) 
            while p.next[index]==None and p!=self.root: p=p.fail 
            if p.next[index]==None:p=self.root 
            else: p=p.next[index] 
            if p.end:return True 
        return False 
     
     
 
 
class UnicodeAC_AutoMachine(): 
    def __init__(self): 
        self.ac = AC_Automachine() 
         
    def getAcString(self,string): 
        string = bytearray(string.encode('utf-8')) 
        ac_string = '' 
        for byte in string: 
            ac_string += chr(byte%16) 
            ac_string += chr(byte/16) 
        #print ac_string  
        return ac_string 
     
    def insert(self,string): 
        if type(string) != unicode: 
            raise Exception('UnicodeAC_AutoMachine:: insert type not unicode') 
        ac_string = self.getAcString(string) 
        self.ac.insert(ac_string) 
 
    def build_automachine(self): 
        self.ac.build_automachine() 
     
    def matchOne(self,string): 
        if type(string) != unicode: 
            raise Exception('UnicodeAC_AutoMachine:: insert type not unicode') 
        ac_string = self.getAcString(string) 
        return self.ac.matchOne(ac_string) 
     
 
 
def main2(): 
    ac = UnicodeAC_AutoMachine() 
    ac.insert(u'丁亚光') 
    ac.insert(u'好吃的') 
    ac.insert(u'好玩的') 
    ac.build_automachine() 
    print ac.matchOne(u'hi,丁亚光在干啥') 
    print ac.matchOne(u'ab') 
    print ac.matchOne(u'不能吃饭啊') 
    print ac.matchOne(u'饭很好吃,有很多好好的吃的,') 
    print ac.matchOne(u'有很多好玩的') 
 
if __name__ == '__main__': 
    main2() 
     
#coding=utf-8

KIND = 16
#BASE = ord('a')

class Node():
    def __init__(self):
        self.fail = None
        self.next = [None]*KIND
        self.end = False

class AC_Automachine():
    def __init__(self):
        self.root = Node()
        self.queue = []
       
    def getIndex(self,char):
        return ord(char)# - BASE
   
    def insert(self,string):
        p = self.root
        for char in string:
            index = self.getIndex(char)
            if p.next[index] == None:
                p.next[index] = Node()
            p = p.next[index]
        p.end = True
       
    def build_automachine(self):
        self.root.fail = None
        self.queue.append(self.root)
        while len(self.queue)!=0:
            parent = self.queue[0]
            self.queue.pop(0)
            for i,child in enumerate(parent.next):
                if child == None:continue
                if parent == self.root:
                    child.fail = self.root
                else:
                    failp = parent.fail
                    while failp != None:
                        if failp.next[i] != None:
                            child.fail = failp.next[i]
                            break
                        failp = failp.fail
                    if failp==None: child.fail=self.root
                self.queue.append(child)
               
    def matchOne(self,string):
        p = self.root
        for char in string:
            index = self.getIndex(char)
            while p.next[index]==None and p!=self.root: p=p.fail
            if p.next[index]==None:p=self.root
            else: p=p.next[index]
            if p.end:return True
        return False
   
   


class UnicodeAC_AutoMachine():
    def __init__(self):
        self.ac = AC_Automachine()
       
    def getAcString(self,string):
        string = bytearray(string.encode('utf-8'))
        ac_string = ''
        for byte in string:
            ac_string += chr(byte%16)
            ac_string += chr(byte/16)
        #print ac_string
        return ac_string
   
    def insert(self,string):
        if type(string) != unicode:
            raise Exception('UnicodeAC_AutoMachine:: insert type not unicode')
        ac_string = self.getAcString(string)
        self.ac.insert(ac_string)

    def build_automachine(self):
        self.ac.build_automachine()
   
    def matchOne(self,string):
        if type(string) != unicode:
            raise Exception('UnicodeAC_AutoMachine:: insert type not unicode')
        ac_string = self.getAcString(string)
        return self.ac.matchOne(ac_string)
   


def main2():
    ac = UnicodeAC_AutoMachine()
    ac.insert(u'丁亚光')
    ac.insert(u'好吃的')
    ac.insert(u'好玩的')
    ac.build_automachine()
    print ac.matchOne(u'hi,丁亚光在干啥')
    print ac.matchOne(u'ab')
    print ac.matchOne(u'不能吃饭啊')
    print ac.matchOne(u'饭很好吃,有很多好好的吃的,')
    print ac.matchOne(u'有很多好玩的')

if __name__ == '__main__':
    main2()
   
下面是测试结果

关键词数是2000,长度2-12

文本长度为60-80,分别测试4000条文本和300000条文本的速度

速度分别为 5.5s 和 619.8s

如下图,挺不错的

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摘自 New Day New Plan
 

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