class Crawler():
'''
classdocs
'''
def __init__(self, urllist, recsys):
'''
Constructs a new crawler using the specified url list and the specified
recommender system to rate the relevance of the downloaded pages
@param urllist: A list of urls to start with
@param recsys: A recommender system to rate pages
'''
self.__urllist = urllist
self.__queue = PriorityQueue()
self.__recsys = recsys
self.__threads = []
self.__visited = []
def crawl(self, threads=2, block=True):
'''
Starts crawling using the (optional) specified number of threads
Blocks until crawling is finished if no other option is given
@param threads: The number of threads used for crawling, default is 2
@param block: False, if the method should be non-blocking (True by default)
'''
for i in range(threads):
t = _CrawlThread(i, self.__queue, self.__recsys, self.__visited)
self.__threads.append(t)
t.deamon = True
t.start()
for url in self.__urllist:
self.__queue.enqueue(url, 1.)
self.__queue.join()
def save(self):
'''
Sends a request to all running threads to safe the current state of their
libraries
'''
for t in self.__threads:
t.request_save()
def abort(self):
'''
Safely aborts the crawling threads and saves the downloaded
webpages
'''
for t in self.__threads:
t.request_stop()
def __init__(self, urllist, recsys):
'''
Constructs a new crawler using the specified url list and the specified
recommender system to rate the relevance of the downloaded pages
@param urllist: A list of urls to start with
@param recsys: A recommender system to rate pages
'''
self.__urllist = urllist
self.__queue = PriorityQueue()
self.__recsys = recsys
self.__threads = []
self.__visited = []
