Python基础:一起来面向对象 (二)

import re
class BOWInvertedIndexEngine(SearchEngineBase):
    def __init__(self):
        super(BOWInvertedIndexEngine, self).__init__()
        self.inverted_index = dict()

    #生成索引 word -> id
    def process_corpus(self, id, text):
        words = self.parse_text_to_words(text)
        for word in words:
            if word not in self.inverted_index:
                self.inverted_index[word] = []
            self.inverted_index[word].append(id) #{'little':['1.txt','2.txt'],...}

    def search(self, query):
        query_words = list(self.parse_text_to_words(query))
        query_words_index = list()
        for query_word in query_words:
            query_words_index.append(0)
        
        # 如果某一个查询单词的倒序索引为空，我们就立刻返回
        for query_word in query_words:
            if query_word not in self.inverted_index:
                return []
        
        result = []
        while True:
            
            # 首先，获得当前状态下所有倒序索引的 index
            current_ids = []
            
            for idx, query_word in enumerate(query_words):
                current_index = query_words_index[idx]
                current_inverted_list = self.inverted_index[query_word] #['1.txt','2.txt']
                
                # 已经遍历到了某一个倒序索引的末尾，结束 search
                if current_index >= len(current_inverted_list):
                    return result
                current_ids.append(current_inverted_list[current_index])
            
            # 然后，如果 current_ids 的所有元素都一样，那么表明这个单词在这个元素对应的文档中都出现了
            if all(x == current_ids[0] for x in current_ids):
                result.append(current_ids[0])
                query_words_index = [x + 1 for x in query_words_index]
                continue
            
            # 如果不是，我们就把最小的元素加一
            min_val = min(current_ids)
            min_val_pos = current_ids.index(min_val)
            query_words_index[min_val_pos] += 1

    @staticmethod
    def parse_text_to_words(text):
        # 使用正则表达式去除标点符号和换行符
        text = re.sub(r'[^\w ]', ' ', text)
        # 转为小写
        text = text.lower()
        # 生成所有单词的列表
        word_list = text.split(' ')
        # 去除空白单词
        word_list = filter(None, word_list)
        # 返回单词的 set
        return set(word_list)

search_engine = BOWInvertedIndexEngine()
main(search_engine)


########## 输出 ##########


# little
# found 2 result(s):
# 1.txt
# 2.txt
# little vicious
# found 1 result(s):
# 2.txt

import pylru
class LRUCache(object):
    def __init__(self, size=32):
        self.cache = pylru.lrucache(size)
    
    def has(self, key):
        return key in self.cache
    
    def get(self, key):
        return self.cache[key]
    
    def set(self, key, value):
        self.cache[key] = value

class BOWInvertedIndexEngineWithCache(BOWInvertedIndexEngine, LRUCache):
    def __init__(self):
        super(BOWInvertedIndexEngineWithCache, self).__init__()
        LRUCache.__init__(self)

    
    def search(self, query):
        if self.has(query):
            print('cache hit!')
            return self.get(query)
        
        result = super(BOWInvertedIndexEngineWithCache, self).search(query)
        self.set(query, result)
        
        return result

search_engine = BOWInvertedIndexEngineWithCache()
main(search_engine)

########## 输出 ##########
# little
# found 2 result(s):
# 1.txt
# 2.txt
# little
# cache hit!
# found 2 result(s):
# 1.txt
# 2.txt