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#! /usr/bin/env python # -*- coding: utf-8 -*- # vi:ts=4:et # # Usage: python retriever.py <file with URLs to fetch> [<# of # concurrent connections>] # import sys, threading try: import Queue except ImportError: import queue as Queue import pycurl # We should ignore SIGPIPE when using pycurl.NOSIGNAL - see # the libcurl tutorial for more info. try: import signal from signal import SIGPIPE, SIG_IGN except ImportError: pass else: signal.signal(SIGPIPE, SIG_IGN) # Get args num_conn = 10 try: if sys.argv[1] == "-": urls = sys.stdin.readlines() else: urls = open(sys.argv[1]).readlines() if len(sys.argv) >= 3: num_conn = int(sys.argv[2]) except: print("Usage: %s <file with URLs to fetch> [<# of concurrent connections>]" % sys.argv[0]) raise SystemExit # Make a queue with (url, filename) tuples queue = Queue.Queue() for url in urls: url = url.strip() if not url or url[0] == "#": continue filename = "doc_%03d.dat" % (len(queue.queue) + 1) queue.put((url, filename)) # Check args assert queue.queue, "no URLs given" num_urls = len(queue.queue) num_conn = min(num_conn, num_urls) assert 1 <= num_conn <= 10000, "invalid number of concurrent connections" print("PycURL %s (compiled against 0x%x)" % (pycurl.version, pycurl.COMPILE_LIBCURL_VERSION_NUM)) print("----- Getting", num_urls, "URLs using", num_conn, "connections -----") class WorkerThread(threading.Thread): def __init__(self, queue): threading.Thread.__init__(self) self.queue = queue def run(self): while 1: try: url, filename = self.queue.get_nowait() except Queue.Empty: raise SystemExit fp = open(filename, "wb") curl = pycurl.Curl() curl.setopt(pycurl.URL, url) curl.setopt(pycurl.FOLLOWLOCATION, 1) curl.setopt(pycurl.MAXREDIRS, 5) curl.setopt(pycurl.CONNECTTIMEOUT, 30) curl.setopt(pycurl.TIMEOUT, 300) curl.setopt(pycurl.NOSIGNAL, 1) curl.setopt(pycurl.WRITEDATA, fp) try: curl.perform() except: import traceback traceback.print_exc(file=sys.stderr) sys.stderr.flush() curl.close() fp.close() sys.stdout.write(".") sys.stdout.flush() # Start a bunch of threads threads = [] for dummy in range(num_conn): t = WorkerThread(queue) t.start() threads.append(t) # Wait for all threads to finish for thread in threads: thread.join()