本文整理汇总了Python中searcher.Searcher.search_count方法的典型用法代码示例。如果您正苦于以下问题：Python Searcher.search_count方法的具体用法？Python Searcher.search_count怎么用？Python Searcher.search_count使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类searcher.Searcher的用法示例。
在下文中一共展示了Searcher.search_count方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: Twitter
# 需要导入模块: from searcher import Searcher [as 别名]
# 或者: from searcher.Searcher import search_count [as 别名]
class Twitter(object):
"""Class representing a inventory of books.
Args:
tweets_filename (str): File name containing tweets.
stop_words_filename (str): File name containing stop words.
Attributes:
teets(list): List of original tweets.
stop_words (list): List of stop words.
indexer (Indexer): Object responsible for indexing tweets.
searcher (Searcher): Object responsible for searching tweets.
"""
_TWEET_META_TEXT_INDEX = 0
_TWEET_META_SCREEN_NAME_INDEX = 1
_NO_RESULTS_MESSAGE = "Sorry, no results."
def __init__(self, tweets_filename, stop_words_filename):
self.tweets = []
self.tweets_filename = tweets_filename
self.stop_words = self.__load_stop_words(stop_words_filename)
self.indexer = Indexer(self.stop_words)
self.searcher = []
@timed
def load_tweets(self):
"""Load tweets from a file name.
This method leverages the iterable behavior of File objects
that automatically uses buffered IO and memory management handling
effectively large files.
"""
docid = 0
processor = TwitterDataPreprocessor()
with open(self.tweets_filename) as catalog:
for entry in catalog:
# preprocessing
p_entry = processor.preprocess(entry)
text = p_entry[self._TWEET_META_TEXT_INDEX].strip()
screen_name = ''
if len(p_entry) > 1:
screen_name = p_entry[self._TWEET_META_SCREEN_NAME_INDEX].strip()
indexable_data = text + ' ' + screen_name
original_data = entry
tweet = Tweet(docid, indexable_data, original_data)
self.tweets.append(tweet)
docid += 1
@timed
def load_tweets_and_build_index(self):
"""Load tweets from a file name, build index, compute ranking and save them all.
"""
self.load_tweets()
self.indexer.build_and_save(self.tweets)
@timed
def load_tweets_and_load_index(self):
"""Load tweets from a file name and load index from a file name.
"""
self.load_tweets()
self.searcher = Searcher(self.tweets, self.stop_words)
@timed
def search_tweets(self, query, n_results=10):
"""Search tweets according to provided query of terms.
The query is executed against the indexed tweets, and a list of tweets
compatible with the provided terms is return along with their tf-idf
score.
Args:
query (str): Query string with one or more terms.
n_results (int): Desired number of results.
Returns:
list of IndexableResult: List containing tweets and their respective
tf-idf scores.
"""
result = ''
if len(query) > 0:
result = self.searcher.search(query, n_results)
if len(result) > 0:
return "{:,}".format(self.searcher.search_count()) \
+ " results.\n\n" \
+ "".join([str(indexable) for indexable in result])
return self._NO_RESULTS_MESSAGE
def tweets_count(self):
"""Return number of loaded tweets.
#.........这里部分代码省略.........