def test_main(self):
queue = JoinableQueue()
print dir(queue)
queue.put(1)
queue.put(3)
queue.put(2)
queue.put(6)
print queue.qsize()
print '1', queue.get(), queue.get()
def test_api(self):
queue = JoinableQueue()
task_group = self.api.search('terminator', queue)
while True:
finished = all(
[greenlet.ready() for greenlet in task_group.greenlets])
try:
item = queue.get(timeout=1.0)
except Empty:
if finished:
log.info('queue is empty and all jobs are done, quitting')
break
log.info(
'queue was empty and jobs are still running, retrying')
continue
try:
log.info('%r', item)
finally:
queue.task_done()
task_group.join()
queue.join()
log.info('joined everything')
class Dispatcher(gevent.Greenlet):
"""
The Dispatcher class handles routing communications to and from the Gateway.
It implements an Actor interface as made popular by Erlang.
"""
def __init__(self):
self._gw_inbox = JoinableQueue()
super().__init__()
def _run(self):
while True:
try:
event = self._gw_inbox.get(block=False)
# Dispatch the event back to interface
self._gw_inbox.task_done()
finally:
gevent.sleep(1)
@property
def gw_inbox(self):
"""
This is the inbox for the Gateway. It's not accessible outside the class methods.
:return: None
"""
return None
@gw_inbox.setter
def gw_inbox(self, message):
self._gw_inbox.put(message)
def process_24_network(net, port):
q = JoinableQueue()
r = JoinableQueue()
gevent.spawn(prepare_list, q, net)
tasks = []
for x in range(0, CONCURRENT_GROUPS):
#print "spawning %i" % x
tasks += [gevent.spawn(scan_network, q, r, port)]
q.join()
gevent.joinall(tasks)
if not r.empty():
with open(str(net.ip) + '_' + str(port) + ".m3u", "w+") as f:
f.write("#EXTM3U\n")
while not r.empty():
try:
group = r.get(timeout=10)
f.write(
'#EXTINF:-1 tvg-logo="" tvg-name="" group-title="",ChannelName'
+ "\n")
f.write('udp://@' + str(group) + ':' + str(port) + "\n")
logging.info("Ok ====> %s" % group)
except gevent.queue.Empty:
break
def on_search(self, query):
log.debug('search for %r', query)
queue = JoinableQueue()
task_group = g.api.search(query, queue)
while True:
finished = all(
[t.ready() for t in task_group]
)
try:
item = queue.get(timeout=1.0)
except Empty:
if finished:
break
continue
try:
self.emit('result', item._asdict())
finally:
queue.task_done()
queue.join()
task_group.join()
self.emit('done', query)
def test_api(self):
queue = JoinableQueue()
task_group = self.api.search('terminator', queue)
while True:
finished = all(
[greenlet.ready() for greenlet in task_group.greenlets]
)
try:
item = queue.get(timeout=1.0)
except Empty:
if finished:
log.info('queue is empty and all jobs are done, quitting')
break
log.info(
'queue was empty and jobs are still running, retrying'
)
continue
try:
log.info('%r', item)
finally:
queue.task_done()
task_group.join()
queue.join()
log.info('joined everything')
def test_service():
"Service() should implement the basic needs of an async service"
# Given the following service
class MyService(Service):
def __init__(self, my_mock, result_queue=None):
self.my_mock = my_mock
super(MyService, self).__init__(
callback=self.run,
result_queue=result_queue,
)
def run(self, package, sender_data):
self.my_mock.ran = package
my_mock = Mock()
queue = JoinableQueue()
service = MyService(my_mock, result_queue=queue)
# When I queue a package to be processed by my service and start the
# service with 1 concurrent worker
service.queue('gherkin==0.1.0', 'main')
service.consume()
# Then I see that the package processed
package = queue.get()
package.should.equal('gherkin==0.1.0')
my_mock.ran.should.equal('gherkin==0.1.0')
class GeventPoolExecutor2(LoggerMixin):
def __init__(
self,
max_works,
):
check_gevent_monkey_patch()
self._q = JoinableQueue(maxsize=max_works)
# self._q = Queue(maxsize=max_works)
for _ in range(max_works):
# self.logger.debug('yyyyyy')
gevent.spawn(self.__worker)
atexit.register(self.__atexit)
def __worker(self):
while True:
fn, args, kwargs = self._q.get()
# noinspection PyBroadException
try:
fn(*args, **kwargs)
except Exception as exc:
self.logger.exception(
f'函数 {fn.__name__} 中发生错误，错误原因是 {type(exc)} {exc} ')
finally:
pass
self._q.task_done()
def submit(self, fn: Callable, *args, **kwargs):
# self.logger.debug(self._q.qsize())
self._q.put((fn, args, kwargs))
def __atexit(self):
self.logger.critical('想即将退出程序。')
self._q.join()
class GeventPoolExecutor2(LoggerMixin):
def __init__(
self,
max_works,
):
self._q = JoinableQueue(maxsize=max_works)
# self._q = Queue(maxsize=max_works)
for _ in range(max_works):
gevent.spawn(self.__worker)
# atexit.register(self.__atexit)
self._q.join(timeout=100)
def __worker(self):
while True:
fn, args, kwargs = self._q.get()
try:
fn(*args, **kwargs)
except Exception as exc:
self.logger.exception(
f'函数 {fn.__name__} 中发生错误，错误原因是 {type(exc)} {exc} ')
finally:
pass
self._q.task_done()
def submit(self, fn: Callable, *args, **kwargs):
self._q.put((fn, args, kwargs))
def __atexit(self):
self.logger.critical('想即将退出程序。')
self._q.join()
def test_service():
"Service() should implement the basic needs of an async service"
# Given the following service
class MyService(Service):
def __init__(self, my_mock, result_queue=None):
self.my_mock = my_mock
super(MyService, self).__init__(
callback=self.run,
result_queue=result_queue,
)
def run(self, package, sender_data):
self.my_mock.ran = package
my_mock = Mock()
queue = JoinableQueue()
service = MyService(my_mock, result_queue=queue)
# When I queue a package to be processed by my service and start the
# service with 1 concurrent worker
service.queue('gherkin==0.1.0', 'main')
service.consume()
# Then I see that the package processed
package = queue.get()
package.should.equal('gherkin==0.1.0')
my_mock.ran.should.equal('gherkin==0.1.0')
class GQueue(object):
def __init__(self):
self.__QUEUE = JoinableQueue()
def job(self, func):
@functools.wraps(func)
def f(*args, **kwargs):
self.__QUEUE.put([func, args, kwargs])
return f
def join(self):
self.__QUEUE.join()
def work(self):
while True:
func, args, kwargs = self.__QUEUE.get()
try:
func(*args, **kwargs)
finally:
self.__QUEUE.task_done()
def run_worker(self, num=1):
for i in range(num):
gevent.spawn(self.work)
def get_movie_id():
baidu_tool = MysqlCurd('douban_movie')
baidu_tool.connect_mysql()
result = baidu_tool.query_mysql_condition('movie_name', [{'version': 0}, ['name']])
q = JoinableQueue()
for temp in result:
if not baidu_tool.query_mysql_condition('name_id', [{'movie_name': temp[0]}, ['movie_id']]):
q.put(temp[0])
baidu_tool.close_connect()
error_q = JoinableQueue()
def crawl(time):
while not q.empty():
tool = MysqlCurd('douban_movie')
tool.connect_mysql()
name = q.get()
try:
page = super_downloader('https://movie.douban.com/subject_search?', params={'search_text': name},
cookies=True, proxy=True)
except requests.exceptions.RequestException:
print('get movie id ' + name + 'download error!')
return False
page = etree.HTML(page)
gevent.sleep(random.uniform(time[0], time[1]))
try:
count = 0
count1 = 0
for _ in page.xpath('//*[@id="content"]/div/div[1]/div[2]/table[@width="100%"]'):
try:
mark = _.xpath('tr/td[2]/div')[0]
id = mark.xpath('a')[0].get('href')[33:-1]
_name = mark.xpath('a')[0].text.split('/')[0].strip()
# score = mark.xpath('div/span[2]')[0].text
# comment_num = mark.xpath('div/span[3]')[0].text[1:-4]
tool.replace_mysql('name_id', {'movie_id': id, 'movie_name': _name})
count1 += 1
print('get movie id '+_name+'completed!!!')
except IndexError as e:
print('get movie id sub error!!!'+repr(e))
continue
count += 1
if count == 3:
break
if count1>0:
# tool.replace_mysql('movie_name', {'version': 1, 'name': name})
tool.close_connect()
print('get movie id ' + name + ' completed!')
except Exception as e:
error_q.put(name)
print('get movie id ' + name + ' error!')
print(e)
worker = SleepFunction()
worker.run(crawl)
with open('errorlist//movie_id.txt', 'a', encoding='utf8') as f:
if not error_q.empty():
print(get_time(), file=f)
while not error_q.empty():
print(error_q.get(), file=f)
def fetch_worker(fetch_queue: JoinableQueue, save_queue: JoinableQueue, direction: str):
while True:
word = fetch_queue.get()
print(word)
res = fetch(word)
if res:
save_queue.put((word, direction, res))
fetch_queue.task_done()
else:
fetch_queue.put(word)
def save_worker(dsn: str, save_queue: JoinableQueue):
conn = psycopg2.connect(dsn)
while True:
word, direction, data = save_queue.get()
try:
with conn:
with conn.cursor() as cur:
psycopg2.extensions.register_type(psycopg2.extensions.UNICODE, cur)
cur.execute("INSERT INTO youdao_bilingual (keyword, direction, data) VALUES (%s, %s, %s)",
(word, direction, data))
save_queue.task_done()
except Exception as e:
print(e)
save_queue.put((word, direction, data))
conn.close()
def _run(self):
paths = glob.glob(self.path)
while not paths:
gevent.sleep(0.01)
paths = glob.glob(self.path)
q = JoinableQueue()
self.logger.debug('Tailing %s' % ', '.join(paths))
self.tails = [Tail(p, q, self.statedir) for p in paths]
while True:
data = q.get()
if data:
if data.endswith('\n'):
data = data[0:-1]
self.logger.debug('Received: %r' % data)
self.output.put(Event(data=data))
q.task_done()
def _run(self):
paths = glob.glob(self.path)
while not paths:
gevent.sleep(0.01)
paths = glob.glob(self.path)
q = JoinableQueue()
self.logger.debug('Tailing %s' % ', '.join(paths))
self.tails = [Tail(p, q, self.statedir) for p in paths]
while True:
data = q.get()
if data:
if data.endswith('\n'):
data = data[0:-1]
self.logger.debug('Received: %r' % data)
self.output.put(Event(data=data))
q.task_done()
def get_person_info():
baidu_tool = MysqlCurd('douban_person')
baidu_tool.connect_mysql()
result = baidu_tool.query_mysql_condition('person_name_id', [{
'version': 0
}, ['person_id', 'person_name']])
print(result)
print(result.__len__())
q = JoinableQueue()
for _ in result:
if not baidu_tool.query_mysql_condition('person_info',
[{
'person_id': _[0]
}, ['person_name']]):
q.put(_)
error_q = JoinableQueue()
baidu_tool.close_connect()
def temp(param):
while not q.empty():
i = q.get()
p = Person(id=i[0], name=i[1])
flag = p.analysis_person_info()
if flag:
name_id_tool = MysqlCurd('douban_person')
name_id_tool.connect_mysql()
name_id_tool.replace_mysql('person_name_id', {
'person_id': p.id,
'person_name': p.name,
'version': 1
})
name_id_tool.close_connect()
else:
error_q.put((p.id, p.name))
worker = SleepFunction()
worker.run(temp)
with open('errorlist//person_id.txt', 'a', encoding='utf8') as f:
if not error_q.empty():
print(get_time(), file=f)
while not error_q.empty():
print(error_q.get(), file=f)
def get_movie_info(name=None):
q = JoinableQueue()
tool = MysqlCurd('douban_movie')
tool.connect_mysql()
if name:
try:
movie_id = tool.query_mysql_condition('name_id', [{'movie_name': name}, ['movie_id']])[0][0]
q.put((movie_id, name))
except IndexError:
print('no id!')
else:
result = tool.query_mysql_condition('name_id', [{'version': 0}, ['movie_id', 'movie_name']])
for temp in result:
if not tool.query_mysql_condition('movie_info', [{'movie_id': temp[0]}, ['movie_name']]):
q.put(temp)
tool.close_connect()
error_q = JoinableQueue()
def temp(time):
while not q.empty():
data = q.get()
m = Movie(data[0], data[1])
try:
print('analysis movie info ' + data[1] + 'started') # 显示到控制台进行到哪个电影
m.analysis_movie_info()
gevent.sleep(random.uniform(time[0], time[1]))
except Exception as e:
print(e)
print('analysis movie info ' + data[1] + 'error')
error_q.put(data[1])
m.tool.close_connect()
print(len(q), 'remain!')
worker = SleepFunction()
worker.run(temp)
with open('errorlist//movie_info.txt', 'a', encoding='utf8') as f:
if not error_q.empty():
print(get_time(), file=f)
while not error_q.empty():
print(error_q.get(), file=f)
class MassGet(FastGet):
def __init__(self, urls, dic, threads=10, report_db=False, keepalive=None, each_threads=10):
self.dic = dic
self.report_db = report_db
self.table = None
if report_db:
self.sql_conn(report_db)
self.keepalive = keepalive
self.each_threads = each_threads
self.queue = JoinableQueue()
[self.queue.put(x.strip()) for x in urls]
[spawn(self.worker) for _ in xrange(threads)]
self.queue.join()
def worker(self):
while not self.queue.empty():
url = self.queue.get()
try:
FastGet(url, self.dic, self.each_threads, self.report_db, self.keepalive, self.table)
except Exception as e:
logging.error('Worker global exception for %s: %s' % (url, e))
finally:
self.queue.task_done()
def get(self, *args, **kw):
result = JoinableQueue.get(self, *args, **kw)
log.debug("operating on {}".format(result))
return result
class Migrator:
def __init__(self,
scheme,
create_devices=True,
write_data=True,
start_date="2000-01-01T00:00:00Z",
end_date="2014-12-31T00:00:00Z",
pool_size=3):
self.scheme = scheme
self.create_devices = create_devices
self.should_write_data = write_data
self.start_date = start_date
self.end_date = end_date
self.tdb = TDBClient(scheme.db_key,
scheme.db_key,
scheme.db_secret,
base_url=scheme.db_baseurl)
iq_endpoint = HTTPEndpoint(scheme.iq_baseurl, scheme.iq_key,
scheme.iq_secret)
self.tiq = TIQClient(iq_endpoint)
self.queue = JoinableQueue()
self.lock = Lock()
self.dp_count = 0
self.req_count = 0
self.dp_reset = time.time()
for i in range(pool_size):
gevent.spawn(self.worker)
def worker(self):
while True:
series = self.queue.get()
try:
self.migrate_series(series)
finally:
self.queue.task_done()
def migrate_all_series(self, start_key="", limit=None):
start_time = time.time()
(keys, tags, attrs) = self.scheme.identity_series_filter()
series_set = self.tdb.list_series(keys, tags, attrs)
# Keep our own state of whether we passed the resume point, so we don't
# need to assume client and server sort strings the same.
found_first_series = False
series_count = 0
for series in series_set:
if not found_first_series and series.key < start_key:
continue
else:
found_first_series = True
if limit and series_count >= limit:
print("Reached limit of %d devices, stopping." % (limit))
break
if self.scheme.identity_series_client_filter(series):
# If the series looks like an identity series,
# queue it to be processed by the threadpool
self.queue.put(series)
series_count += 1
self.queue.join()
end_time = time.time()
print("Exporting {} devices took {} seconds".format(
series_count, end_time - start_time))
def migrate_series(self, series):
print(" Beginning to migrate series: %s" % (series.key))
error = False
try:
if self.create_devices:
error = self.create_device(series)
if self.should_write_data and not error:
error = self.write_data(series)
except Exception, e:
logging.exception(e)
error = True
if not error:
print("COMPLETED migrating for series %s" % (series.key))
else:
print("ERROR migrating series %s" % (series.key))
class Service(object):
def __init__(self, callback, **args):
self.callback = callback
self.result_queue = args.get('result_queue')
self.package_queue = JoinableQueue()
self.failed_queue = []
self.env = args.get('env')
self.main_greenlet = None
self.pool = Pool(args.get('concurrency'))
self.should_run = True
self.subscribers = []
self.logger = Logger(self.name, args.get('log_level'))
@property
def name(self):
return self.__class__.__name__.lower()
def queue(self, package, sender_name, **data):
assert (sender_name == 'downloadmanager' and data.get('path')) or True
self.package_queue.put((package, (sender_name, data)))
self.logger.level(3, ' * queue(from=%s, to=%s, package=%s, data=%s)',
sender_name, self.name, package, data)
def consume(self):
package, sender_data = self.package_queue.get()
self.pool.spawn(self._run_service, package, sender_data)
self.logger.level(3, ' * %s.run(package=%s, sender_data=%s)',
self.name, package, sender_data)
def subscribe(self, other):
other.subscribers.append(self)
def loop(self):
while self.should_run:
self.consume()
def start(self):
self.main_greenlet = gevent.spawn(self.loop)
def stop(self, force=False):
# This will force the current iteraton on `loop()` to be the last one,
# so the thing we're processing will be able to finish;
self.should_run = False
# if the caller is in a hurry, we'll just kill everything mercilessly
if force and self.main_greenlet:
self.main_greenlet.kill()
def _run_service(self, package, sender_data):
try:
data = self.callback(package, sender_data)
except NotForMe:
return
except ReportableError as exc:
self.failed_queue.append((package, exc))
self.logger.level(0, "Error: %s", exc)
except BaseException as exc:
self.failed_queue.append((package, exc))
self.logger.traceback(4,
'failed to run %s (requested by:%s) for package %s:',
self.name, sender_data[0], package, exc=exc)
else:
# Let's notify our subscribers
for subscriber in self.subscribers:
subscriber.queue(package, self.name, **(data or {}))
# If the callback worked, let's go ahead and tell the world. If and
# only if requested by the caller, of course.
if self.result_queue:
self.result_queue.put(package)
def get_person_id():
baidu_tool = MysqlCurd('douban_person')
baidu_tool.connect_mysql()
result = baidu_tool.query_mysql_condition('person_name', [{
'version': 0
}, ['name']])
print(result)
print(result.__len__())
q = JoinableQueue()
for _ in result:
if not baidu_tool.query_mysql_condition('person_name_id',
[{
'person_name': _[0]
}, ['person_id']]):
q.put(_[0].strip('\n'))
error_q = JoinableQueue()
def crawl(param):
while not q.empty():
tool = MysqlCurd('douban_person')
tool.connect_mysql()
name = q.get()
try:
result = super_downloader(
'https://movie.douban.com/subject_search?',
params={'search_text': name},
proxy=True,
cookies=True)
gevent.sleep(random.uniform(2, 6.5))
except requests.exceptions.RequestException as e:
print(name + 'download error!')
continue
try:
page = etree.HTML(result)
basic = page.xpath(
'//*[@id="content"]/div/div[@class="article"]/div[1]/'
'div[@class="result-item"]/div[@class="content"]/h3/a')[0]
id = basic.get('href')[35:-1]
name = basic.text.split()[0]
tool.replace_mysql('person_name_id', {
'person_id': id,
'person_name': name,
})
baidu_tool = MysqlCurd('douban_person')
baidu_tool.connect_mysql()
baidu_tool.replace_mysql('person_name', {
'name': name,
'version': 1
})
baidu_tool.close_connect()
tool.close_connect()
print(name + 'completed')
except IndexError:
error_q.put(name)
print(name + 'error!')
worker = SleepFunction()
worker.run(crawl)
with open('errorlist//person_id.txt', 'a', encoding='utf8') as f:
if not error_q.empty():
print(get_time(), file=f)
while not error_q.empty():
print(error_q.get(), file=f)
class DriverPool(object):
""" Create a pool of available Selenium containers for processing.
Args:
size (int): maximum concurrent tasks. Must be at least ``2``.
driver_cls (WebDriver):
driver_cls_args (tuple):
driver_cls_kw (dict):
use_proxy (bool):
factory (:obj:`~selenium_docker.base.ContainerFactory`):
name (str):
logger (:obj:`logging.Logger`):
Example::
pool = DriverPool(size=2)
urls = [
'https://google.com',
'https://reddit.com',
'https://yahoo.com',
'http://ksl.com',
'http://cnn.com'
]
def get_title(driver, url):
driver.get(url)
return driver.title
for result in pool.execute(get_title, urls):
print(result)
"""
INNER_THREAD_SLEEP = 0.5
"""float: essentially our polling interval between tasks and checking
when tasks have completed.
"""
PROXY_CLS = SquidProxy
""":obj:`~selenium_docker.proxy.AbstractProxy`: created for the pool
when ``use_proxy=True`` during pool instantiation.
"""
def __init__(self, size, driver_cls=ChromeDriver, driver_cls_args=None,
driver_cls_kw=None, use_proxy=True, factory=None, name=None,
logger=None):
self.size = max(2, size)
self.name = name or gen_uuid(6)
self.factory = factory or ContainerFactory.get_default_factory()
self.logger = logger or getLogger(
'%s.DriverPool.%s' % (__name__, self.name))
self._driver_cls = driver_cls
self._driver_cls_args = driver_cls_args or tuple()
self._driver_cls_kw = driver_cls_kw or dict()
self._drivers = Queue(maxsize=self.size)
# post init inspections
if not hasattr(self._driver_cls, 'CONTAINER'):
raise DriverPoolValueError('driver_cls must extend DockerDriver')
if not isiterable(self._driver_cls_args):
raise DriverPoolValueError(
'%s is not iterable' % self._driver_cls_args)
if not isinstance(self._driver_cls_kw, Mapping):
raise DriverPoolValueError(
'%s is not a valid mapping' % self._driver_cls_kw)
# determine proxy usage
self.proxy = None
self._use_proxy = use_proxy # type: bool
# deferred instantiation
self._pool = None # type: Pool
self._results = None # type: Queue
self._tasks = None # type: JoinableQueue
self._processing = False # type: bool
self.__feeder_green = None # type: gevent.Greenlet
def __repr__(self):
return '<DriverPool-%s(size=%d,driver=%s,proxy=%s,async=%s)>' % (
self.name, self.size, self._driver_cls.BROWSER,
self._use_proxy, self.is_async)
def __iter__(self):
return self.results(block=self.is_async)
def __del__(self):
try:
self.close()
except Exception as e:
if hasattr(self, 'logger'):
self.logger.exection(e, exc_info=False)
@property
def is_processing(self):
"""bool: whether or not we're currently processing tasks. """
return self._processing
@property
def is_async(self):
"""bool: returns True when asynchronous processing is happening. """
return self.__feeder_green is not None
def __bootstrap(self):
""" Prepare this driver pool instance to batch execute task items. """
if self.is_processing:
# cannot run two executions simultaneously
raise DriverPoolRuntimeException(
'cannot bootstrap pool, already running')
if self._results and self._results.qsize(): # pragma: no cover
self.logger.debug('pending results being discarded')
if self._tasks and self._tasks.qsize(): # pragma: no cover
self.logger.debug('pending tasks being discarded')
if self._pool: # pragma: no cover
self.logger.debug('killing processing pool')
self._pool.join(timeout=10.0)
self._pool.kill()
self._pool = None
if self._use_proxy and not self.proxy:
# defer proxy instantiation -- since spinning up a squid proxy
# docker container is surprisingly time consuming.
self.logger.debug('bootstrapping squid proxy')
self.proxy = self.PROXY_CLS(factory=self.factory)
self.logger.debug('bootstrapping pool processing')
self._processing = True
self._results = Queue()
self._tasks = JoinableQueue()
self._load_drivers()
# create our processing pool with headroom over the number of drivers
# requested for this processing pool.
self._pool = Pool(size=self.size + math.ceil(self.size * 0.25))
def __cleanup(self, force=False):
""" Stop and remove the web drivers and their containers. This function
should not remove pending tasks or results. It should be possible to
cleanup all the external resources of a driver pool and still extract
the results of the work that was completed.
Raises:
DriverPoolRuntimeException: when attempting to cleanup an
environment while processing is still happening, and forcing
the cleanup is set to ``False``.
SeleniumDockerException: when a driver instance or container
cannot be closed properly.
Returns:
None
"""
if self.is_processing and not force: # pragma: no cover
raise DriverPoolRuntimeException(
'cannot cleanup driver pool while executing')
self._processing = False
squid = None # type: gevent.Greenlet
error = None # type: SeleniumDockerException
if self.proxy:
self.logger.debug('closing squid proxy')
squid = gevent.spawn(self.proxy.quit)
if self._pool: # pragma: no cover
self.logger.debug('emptying task pool')
if not force:
self._pool.join(timeout=10.0)
self._pool.kill(block=False,
timeout=10.0)
self._pool = None
self.logger.debug('closing all driver containers')
while not self._drivers.empty():
d = self._drivers.get(block=True)
try:
d.quit()
except SeleniumDockerException as e: # pragma: no cover
self.logger.exception(e, exc_info=True)
if not force:
error = e
if self.proxy:
squid.join()
self.proxy = None
if error: # pragma: no cover
raise error
def _load_driver(self, and_add=True):
""" Load a single web driver instance and container. """
args = self._driver_cls_args
kw = dict(self._driver_cls_kw)
kw.update({
'proxy': self.proxy,
'factory': self.factory,
})
driver = self._driver_cls(*args, **kw)
if and_add:
self._drivers.put(driver)
return driver
def _load_drivers(self):
""" Load the web driver instances and containers.
Raises:
DriverPoolRuntimeException: when the requested number of drivers
for the given pool size cannot be created for some reason.
Returns:
None
"""
if not self._drivers.empty(): # pragma: no cover
return
threads = []
for o in range(self.size):
self.logger.debug('creating driver %d of %d', o + 1, self.size)
thread = gevent.spawn(self._load_driver)
threads.append(thread)
for t in reversed(threads):
t.join()
if not self._drivers.full():
raise DriverPoolRuntimeException(
'unable to fulfill required concurrent drivers, %d of %d' % (
self._drivers.qsize(), self.size))
def _recycle_driver(self, driver):
if not driver:
return
try:
driver.quit()
except Exception as e:
self.logger.exception(e, exc_info=True)
# do NOT add the new driver container to the drivers queue,
# instead this will be handled in the recycle logic that requested
# the driver in the first place. Instead of returning the one it
# received this "new" instance will be put in its placed.
print('RECYCLED!!!!!!')
return self._load_driver(and_add=False)
def add_async(self, *items):
""" Add additional items to the asynchronous processing queue.
Args:
items (list(Any)): list of items that need processing. Each item is
applied one at a time to an available driver from the pool.
Raises:
StopIteration: when all items have been added.
"""
if len(items) == 1 and isinstance(items[0], list):
items = iter(items[0])
if not items:
raise DriverPoolValueError(
'cannot add items with value: %s' % str(items))
item_count = count(items)
self.logger.debug('adding %d additional items to tasks', item_count)
for o in items:
self._tasks.put(o)
def close(self):
""" Force close all the drivers and cleanup their containers.
Returns:
None
"""
self.__cleanup(force=True)
def execute(self, fn, items, preserve_order=False, auto_clean=True,
no_wait=False):
""" Execute a fixed function, blocking for results.
Args:
fn (Callable): function that takes two parameters, ``driver`` and
``task``.
items (list(Any)): list of items that need processing. Each item is
applied one at a time to an available driver from the pool.
preserve_order (bool): should the results be returned in the order
they were supplied via ``items``. It's more performant to
allow results to return in any order.
auto_clean (bool): cleanup docker containers after executing. If
multiple processing tasks are going to be used, it's more
performant to leave the containers running and reuse them.
no_wait (bool): forgo a small sleep interval between finishing
a task and putting the driver back in the available drivers
pool.
Yields:
results: the result for each item as they're finished.
"""
def worker(o):
job_num, item = o
self.logger.debug('doing work on item %d' % job_num)
driver = self._drivers.get(block=True)
ret_val = fn(driver, item)
if not no_wait:
gevent.sleep(self.INNER_THREAD_SLEEP)
self._drivers.put(driver)
return ret_val
if self.__feeder_green:
raise DriverPoolRuntimeException(
'cannot perform a blocking execute while async processing')
self.__bootstrap()
self.logger.debug('starting sync processing')
if preserve_order:
ittr = self._pool.imap
else:
ittr = self._pool.imap_unordered
self.logger.debug('yielding processed results')
for o in ittr(worker, enumerate(items)):
self._results.put(o)
self._results.put(StopIteration)
self.logger.debug('stopping sync processing')
if auto_clean:
self.logger.debug('auto cleanup pool environment')
self.__cleanup(force=True)
return self.results(block=False)
def execute_async(self, fn, items=None, callback=None,
catch=(WebDriverException,), requeue_task=False):
""" Execute a fixed function in the background, streaming results.
Args:
fn (Callable): function that takes two parameters, ``driver`` and
``task``.
items (list(Any)): list of items that need processing. Each item is
applied one at a time to an available driver from the pool.
callback (Callable): function that takes a single parameter, the
return value of ``fn`` when its finished processing and has
returned the driver to the queue.
catch (tuple[Exception]): tuple of Exception classes to catch
during task execution. If one of these Exception classes
is caught during ``fn`` execution the driver that crashed will
attempt to be recycled.
requeue_task (bool): in the event of an Exception being caught
should the task/item that was being worked on be re-added to
the queue of items being processed.
Raises:
DriverPoolValueError: if ``callback`` is not ``None``
or ``callable``.
Returns:
None
"""
def worker(fn, task):
ret_val = None
async_task_id = gen_uuid(12)
self.logger.debug('starting async task %s', async_task_id)
driver = self._drivers.get(block=True)
if isinstance(driver, Exception):
raise driver
try:
ret_val = fn(driver, task)
except catch as e:
self.logger.exception('hihi')
if self.is_processing:
driver = self._recycle_driver(driver)
if requeue_task:
self._tasks.put(task)
finally:
self._results.put(ret_val)
self._drivers.put(driver)
gevent.sleep(self.INNER_THREAD_SLEEP)
return ret_val
def feeder():
self.logger.debug('starting async feeder thread')
while True:
while not self._tasks.empty():
task = self._tasks.get()
if self._pool is None:
break
self._pool.apply_async(
worker,
args=(fn, task,),
callback=greenlet_callback)
gevent.sleep(self.INNER_THREAD_SLEEP)
if self._pool is None and not self.is_processing:
break
return
if callback is None:
def logger(value):
self.logger.debug('%s', value)
callback = logger
def real_callback(cb, value):
if isinstance(value, gevent.GreenletExit):
raise value
else:
cb(value)
greenlet_callback = partial(real_callback, callback)
for f in [fn, callback]:
if not callable(f):
raise DriverPoolValueError(
'cannot use %s, is not callable' % callback)
self.logger.debug('starting async processing')
self.__bootstrap()
if not self.__feeder_green:
self.__feeder_green = gevent.spawn(feeder)
if items:
self.add_async(*items)
def quit(self):
""" Alias for :func:`~DriverPool.close()`. Included for consistency
with driver instances that generally call ``quit`` when they're no
longer needed.
Returns:
None
"""
if self.__feeder_green:
return self.stop_async()
return self.close()
def results(self, block=True):
""" Iterate over available results from processed tasks.
Args:
block (bool): when ``True``, block this call until all tasks have
been processed and all results have been returned. Otherwise
this will continue indefinitely while tasks are dynamically
added to the async processing queue.
Yields:
results: one result at a time as they're finished.
Raises:
StopIteration: when the processing is finished.
"""
est_size = self._results.qsize()
self.logger.debug('there are an estimated %d results', est_size)
if block:
self.logger.debug('blocking for results to finish processing')
while self.is_processing:
while not self._results.empty():
yield self._results.get()
gevent.sleep(self.INNER_THREAD_SLEEP)
if self._tasks.empty() and self._results.empty():
break
raise StopIteration
else:
if est_size > 0:
self.logger.debug('returning as many results as have finished')
self._results.put(StopIteration)
for result in self._results:
yield result
def stop_async(self, timeout=None, auto_clean=True):
""" Stop all the async worker processing from executing.
Args:
timeout (float): number of seconds to wait for pool to finish
processing before killing and closing out the execution.
auto_clean (bool): cleanup docker containers after executing. If
multiple processing tasks are going to be used, it's more
performant to leave the containers running and reuse them.
Returns:
None
"""
self.logger.debug('stopping async processing')
if self.__feeder_green:
self.logger.debug('killing async feeder thread')
gevent.kill(self.__feeder_green)
self.__feeder_green = None
if self._pool:
self.logger.debug('joining async pool before kill')
self._pool.join(timeout=timeout or 1.0)
self._pool.kill(block=False)
tasks_count = self._tasks.qsize()
self.logger.info('%d tasks remained unprocessed', tasks_count)
if auto_clean:
self.logger.debug('auto cleanup pool environment')
self.__cleanup(force=True)
class FastGet:
def __init__(self, url, dic, threads=100, report_db=False, keepalive=None, table_name=None):
self.url = url
parts = urlparse(url)
self.scheme, self.host, self.port = parts.scheme, parts.hostname, parts.port
if not self.port:
self.port = 443 if self.scheme == 'https' else 80
self.keepalive = keepalive
try:
instance = HehReq(self.host, int(self.port), self.scheme, self.keepalive)
except Exception as e:
logging.error('Init exception for %s: %s' % (self.url, e))
return
if not keepalive:
self.keepalive = instance.detect_keepalive()
if self.keepalive == 0:
logging.error('Keep-Alive value for %s appears to be 0, check the connection' % url)
return
logging.warning('Calculated Keep-Alive for %s: %s' % (url, self.keepalive))
self.report_db = report_db
if report_db:
self.table = table_name
self.sql_conn(report_db)
self.queue = JoinableQueue()
[self.queue.put(dic[i:i + self.keepalive]) for i in xrange(0, len(dic), self.keepalive)]
[spawn(self.worker) for _ in xrange(threads)]
self.queue.join()
def sql_conn(self, report_db):
self.conn = MySQLdb.connect(report_db['host'], report_db['user'], report_db['passwd'], report_db['db'])
self.cur = self.conn.cursor()
if not self.table:
self.table = 'scan_%s' % datetime.strftime(datetime.now(), '%Y_%m_%d_%H%M%S')
self.cur.execute(
'create table %s(scheme varchar(16), host varchar(128), port smallint, uri varchar(128),\
code smallint, size int, type varchar(128))' % self.table)
def report(self, result):
if result[1] not in [302, 404]:
logging.warning('Path %s://%s:%s/%s, response code %s, content-length %s, content-type %s' % (
self.scheme, self.host, self.port, result[0], result[1], result[2], result[3]))
if self.report_db:
p = [self.scheme, self.host, self.port] + list(result)
self.cur.execute('insert into %s values(%%s,%%s,%%s,%%s,%%s,%%s,%%s)' % self.table, p)
def worker(self):
try:
instance = HehReq(self.host, int(self.port), self.scheme, self.keepalive)
except Exception as e:
logging.error('Worker init exception for %s: %s' % (self.url, e))
return
while not self.queue.empty():
paths = self.queue.get()
try:
for x in instance.bulk_get(paths):
self.report(x)
except Exception as e:
logging.error('Worker loop exception for %s: %s' % (self.url, e))
finally:
if self.report_db:
self.conn.commit()
self.queue.task_done()
class GeventConsumer(object):
def __init__(
self,
consumer_config=None,
topic=None,
parse_func=None,
num=8,
auto_commit_offset=False,
is_debug=False,
):
if not parse_func:
raise Exception("not parse func, system exit")
self.parse = parse_func
self.queue = Queue(100)
self.stop_flag = Event()
self.num = num
self.debug = is_debug
if not self.debug:
self.auto_commit_offset = auto_commit_offset
if isinstance(consumer_config, dict):
consumer_config.update({'enable.auto.commit':self.auto_commit_offset})
self.consumer = Consumer(consumer_config)
self.topic = topic
self.consumer.subscribe(self.topic)
def sign_handler(self, sig, frame):
print(" >>> Termination_signal:[{}] to stop".format(sig))
self.stop_flag.set()
def kafka_to_queue(self):
logger.info("Start Producer thread")
m = 0
time_diff = 0
start_time = time.time()
while not self.stop_flag.is_set():
msg = self.consumer.poll(1)
if msg is None:
time.sleep(0.001)
return
err = msg.error()
if err:
if err.code() == KafkaError._PARTITION_EOF:
logger.debug(
'%s [%s] reached end at offset %s',
msg.topic(), msg.partition(), msg.offset()
)
else:
logger.error('kafka failed, system exit')
self.stop_flag.set()
self.queue.put(msg)
# 消费速度统计
m += 1
current_time = time.time()
time_diff = current_time - start_time
if time_diff > 10:
rate = m / time_diff
start_time = current_time
m = 0
logger.info('consumer_rate:[%.2f]p/s, queue_size:[%d]' % (rate, self.queue.qsize()))
logger.info("Producer thread has stopped")
def consume(self):
logger.info('Start Thread To Consumer')
data = dict()
stop = False
while True:
stop = self.stop_flag.is_set()
if stop and self.queue.empty():
break
msg = self.queue.get()
try:
data = self.parse(msg.value())
if data:
self.handle_data(data, stop)
finally:
self.queue.task_done()
if not stop and not self.auto_commit_offset:
self.consumer.commit(msg)
logger.info('Thread Consumer has stopped')
def handle_data(self, data, stop):
raise NotImplementedError
def consume_forever(self):
"""
start consume forever
"""
signal(SIGTERM, self.sign_handler)
signal(SIGINT, self.sign_handler)
if self.debug:
consume_func = self.mock_consume
produce_func = self.mock_kafka
else:
consume_func = self.consume
produce_func = self.kafka_to_queue
task_list = []
for _ in range(self.num):
task_list.append(gevent.spawn(consume_func))
produce_func()
self.queue.join()
if not self.debug:
logger.info("closing kafka...")
self.consumer.close()
gevent.joinall(task_list, timeout=5)
logger.info('Exiting with qsize:%d' % self.queue.qsize())
# ===========mock kafka and consumer=======================
def mock_kafka(self):
logger.info("Start Producer thread")
m = 0
time_diff = 0
start_time = time.time()
# jing5 msg
msg = "23230254455354325631393046433232323232320101008e14080b0e0c38426e0101008422551354455354325631393046433232323232323131313131313131313131313131313131313131313131313131313131313131313130010000000002803365818a91eb00010002fffe050018fffe2eeb596f50830005e91efd02649c6b7eb1ac0d80000043c497fd0022f90a3d057b2403032581373635343332310082e99f008a06".decode('hex')
while not self.stop_flag.is_set():
self.queue.put(msg)
m += 1
# 消费速度统计
current_time = time.time()
time_diff = current_time - start_time
if time_diff > 5:
rate = m / time_diff
start_time = current_time
m = 0
logger.info('consumer_rate:[%.2f]p/s, queue_size:[%d]' % (rate, self.queue.qsize()))
logger.info("closing produce...")
logger.info("Producer thread has stopped")
def mock_consume(self):
logger.info('Start Thread To Consumer')
data = dict()
stop = False
while True:
stop = self.stop_flag.is_set()
if stop and self.queue.empty():
break
msg = self.queue.get()
try:
data = self.parse(msg)
self.handle_data(data, stop)
except Exception as err:
logger.error("consumer:{}".format(getcurrent()))
finally:
self.queue.task_done()
logger.info('Thread Consumer has stopped')
class AsynSpiderWithGevent(MySpider):
def __init__(self, out=BasicAnalysis(), **kwargs):
super(AsynSpiderWithGevent, self).__init__(out, **kwargs)
self.q = JoinableQueue()
self.fetching, self.fetched = set(), set()
def assign_jobs(self, jobs):
for job in jobs:
self.q.put(job)
def run(self):
if self.q.empty():
url = LIST_URL + urllib.urlencode(self.list_query)
self.q.put(url)
for _ in range(CONCURRENCY):
gevent.spawn(self.worker)
self.q.join()
assert self.fetching == self.fetched
self._out.finish()
def worker(self):
while True:
self.fetch_url()
def fetch_url(self):
current_url = self.q.get()
try:
if current_url in self.fetching:
return
self.fetching.add(current_url)
resp = requests.get(current_url, headers=HEADERS)
self.fetched.add(current_url)
xml = etree.fromstring(resp.content)
has_total_count = xml.xpath("//totalcount/text()")
if has_total_count: # 非空证明为列表，否则为详细页
total_count = int(has_total_count[0])
if total_count == 0:
return # 列表跨界
if self.list_query["pageno"] == 1:
pageno = 2
# while pageno < 10:
while pageno <= total_count / PAGE_SIZE:
self.list_query["pageno"] = pageno
next_list_url = LIST_URL + urllib.urlencode(
self.list_query)
self.q.put(next_list_url)
# logging.info(next_list_url)
pageno += 1
job_ids = xml.xpath("//jobid/text()")
job_detail_urls = []
for ID in job_ids:
new_detail_query = DETAIL_QUERY.copy()
new_detail_query["jobid"] = ID
job_detail_urls.append(DETAIL_URL +
urllib.urlencode(new_detail_query))
for detail_url in job_detail_urls:
self.q.put(detail_url)
# logging.info(detail_url)
else:
self._out.collect(xml)
finally:
self.q.task_done()
class Migrator:
def __init__(self, scheme, create_devices=True,
write_data=True,
start_date="2000-01-01T00:00:00Z",
end_date="2014-12-31T00:00:00Z",
pool_size=3):
self.scheme = scheme
self.create_devices = create_devices
self.should_write_data = write_data
self.start_date = start_date
self.end_date = end_date
self.tdb = TDBClient(scheme.db_key, scheme.db_key,
scheme.db_secret,
base_url=scheme.db_baseurl)
iq_endpoint = HTTPEndpoint(scheme.iq_baseurl,
scheme.iq_key,
scheme.iq_secret)
self.tiq = TIQClient(iq_endpoint)
self.queue = JoinableQueue()
self.lock = Lock()
self.dp_count = 0
self.req_count = 0
self.dp_reset = time.time()
for i in range(pool_size):
gevent.spawn(self.worker)
def worker(self):
while True:
series = self.queue.get()
try:
self.migrate_series(series)
finally:
self.queue.task_done()
def migrate_all_series(self, start_key="", limit=None):
start_time = time.time()
(keys, tags, attrs) = self.scheme.identity_series_filter()
series_set = self.tdb.list_series(keys, tags, attrs)
# Keep our own state of whether we passed the resume point, so we don't
# need to assume client and server sort strings the same.
found_first_series = False
series_count = 0
for series in series_set:
if not found_first_series and series.key < start_key:
continue
else:
found_first_series = True
if limit and series_count >= limit:
print("Reached limit of %d devices, stopping." % (limit))
break
if self.scheme.identity_series_client_filter(series):
# If the series looks like an identity series,
# queue it to be processed by the threadpool
self.queue.put(series)
series_count += 1
self.queue.join()
end_time = time.time()
print("Exporting {} devices took {} seconds".format(series_count, end_time - start_time))
def migrate_series(self, series):
print(" Beginning to migrate series: %s" % (series.key))
error = False
try:
if self.create_devices:
error = self.create_device(series)
if self.should_write_data and not error:
error = self.write_data(series)
except Exception, e:
logging.exception(e)
error = True
if not error:
print("COMPLETED migrating for series %s" % (series.key))
else:
print("ERROR migrating series %s" % (series.key))
class HttpScanner(object):
def __init__(self, args):
"""
Initialise HTTP scanner
:param args:
:return:
"""
self.args = args
self.output = HttpScannerOutput(args)
self._init_scan_options()
# Reading files
self.output.write_log("Reading files and deduplicating.", logging.INFO)
self.hosts = self._file_to_list(args.hosts)
self.urls = self._file_to_list(args.urls)
#
self._calc_urls()
out = 'Loaded %i hosts %i urls' % (self.hosts_count, self.urls_count)
if self.args.ports is not None:
out += ' %i ports' % len(self.args.ports)
self.output.print_and_log(out)
if self.args.ports is not None and not self.args.syn:
new_hosts = []
for host in self.hosts:
for port in self.args.ports:
# print(host, port)
new_hosts.append(helper.generate_url(host, port))
self.hosts = new_hosts
#
self._calc_urls()
self.output.print_and_log('%i full urls to scan' % self.full_urls_count)
# Queue and workers
self.hosts_queue = JoinableQueue()
self.workers = []
def _file_to_list(self, filename, dedup=True):
"""
Get list from file
:param filename: file to read
:return: list of lines
"""
if not path.exists(filename) or not path.isfile(filename):
self.output.print_and_log('File %s not found!' % filename, logging.ERROR)
exit(-1)
# Preparing lines list
lines = filter(lambda line: line is not None and len(line) > 0, open(filename).read().split('\n'))
if len(lines) == 0:
self.output.print_and_log('File %s is empty!' % filename, logging.ERROR)
exit(-1)
return helper.deduplicate(lines) if dedup else lines
def _init_scan_options(self):
# Session
self.session = session()
self.session.timeout = self.args.timeout
self.session.verify = False
# TODO: debug and check
# self.session.mount("http://", HTTPAdapter(max_retries=self.args.max_retries))
# self.session.mount("https://", HTTPAdapter(max_retries=self.args.max_retries))
# http://stackoverflow.com/questions/15431044/can-i-set-max-retries-for-requests-request
# Max retries
adapters.DEFAULT_RETRIES = self.args.max_retries
# TOR
if self.args.tor:
self.output.write_log("TOR usage detected. Making some checks.")
self.session.proxies = {
'http': 'socks5://127.0.0.1:9050',
'https': 'socks5://127.0.0.1:9050'
}
url = 'http://ifconfig.me/ip'
real_ip, tor_ip = None, None
# Ger real IP address
try:
real_ip = get(url).text.strip()
except Exception as exception:
self.output.print_and_log("Couldn't get real IP address. Check yout internet connection.",
logging.ERROR)
self.output.write_log(str(exception), logging.ERROR)
exit(-1)
# Get TOR IP address
try:
tor_ip = self.session.get(url).text.strip()
except Exception as exception:
self.output.print_and_log("TOR socks proxy doesn't seem to be working.", logging.ERROR)
self.output.write_log(str(exception), logging.ERROR)
exit(-1)
# Show IP addresses
self.output.print_and_log('Real IP: %s TOR IP: %s' % (real_ip, tor_ip))
if real_ip == tor_ip:
self.output.print_and_log("TOR doesn't work! Stop to be secure.", logging.ERROR)
exit(-1)
# Proxy
if self.args.proxy is not None:
self.session.proxies = {"https": self.args.proxy,
"http": self.args.proxy}
# Auth
if self.args.auth is not None:
items = self.args.auth.split(':')
self.session.auth = (items[0], items[1])
# Cookies
self.cookies = {}
if self.args.cookies is not None:
self.cookies = Cookies.from_request(self.args.cookies)
# Cookies from file
if self.args.load_cookies is not None:
if not path.exists(self.args.load_cookies) or not path.isfile(self.args.load_cookies):
self.output.print_and_log('Could not find cookie file: %s' % self.args.load_cookies, logging.ERROR)
exit(-1)
self.cookies = MozillaCookieJar(self.args.load_cookies)
self.cookies.load()
self.session.cookies = self.cookies
# User-Agent
self.ua = UserAgent() if self.args.random_agent else None
def worker(self, worker_id):
self.output.write_log('Worker %i started.' % worker_id)
while not self.hosts_queue.empty():
host = self.hosts_queue.get()
try:
self.scan_host(worker_id, host)
finally:
self.output.write_log('Worker %i finished.' % worker_id)
self.hosts_queue.task_done()
def _head_available(self, host):
"""
Determine if HEAD requests is allowed
:param host:
:return:
"""
# Trying to use OPTIONS request
try:
response = self.session.options(host, headers=self._fill_headers())
o = response.headers['allow'] if 'allow' in response.headers else None
if o is not None and o.find('HEAD') != -1:
return True
except:
# TODO: fix
pass
try:
return False if self.session.head(host, headers=self._fill_headers()).status_code == 405 else True
except:
# TODO: fix
return False
def scan_host(self, worker_id, host):
# check if resolvable
ip = helper.url_to_ip(host)
if ip is None:
self.output.write_log('Could not resolve %s Skipping...' % host, logging.WARNING)
self.output.urls_scanned += len(self.urls)
return
# Check for HEAD
host_url = helper.host_to_url(host)
head_available = False
if self.args.head:
head_available = self._head_available(host)
if head_available:
self.output.write_log('HEAD is supported for %s' % host)
errors_count, urls_scanned = 0, 0
for url in self.urls:
full_url = urljoin(host_url, url)
r = self.scan_url(full_url, head_available)
urls_scanned += 1
self.output.urls_scanned += 1
# Output
r['worker'] = worker_id
self.output.write(**r)
if r['exception'] is not None:
errors_count += 1
# Skip host on errors
if self.args.skip is not None and errors_count == self.args.skip:
self.output.write_log('Errors limit reached on %s Skipping other urls.' % host, logging.WARNING)
self.output.urls_scanned += len(self.urls) - urls_scanned
break
# cookies bugfix?
self.session.cookies.clear()
def _fill_headers(self):
# Fill UserAgent in headers
headers = {}
if self.args.user_agent is not None:
headers['User-agent'] = self.args.user_agent
elif self.args.random_agent:
headers['User-agent'] = self.ua.random
# Fill Referer in headers
if self.args.referer is not None:
headers['Referer'] = self.args.referer
return headers
def _parse_response(self, url, response, exception):
res = {'url': url,
'response': response,
'exception': exception}
if response is None or exception is not None:
res.update({
'status': -1,
'length': -1,
})
return res
try:
length = int(response.headers['content-length']) if 'content-length' in response.headers else len(
response.text)
except Exception as exception:
self.output.write_log(
"Exception while getting content length for URL: %s Exception: %s" % (url, str(exception)),
logging.ERROR)
length = 0
res.update({
'status': response.status_code,
'length': length,
})
return res
def scan_url(self, url, use_head=False):
self.output.write_log('Scanning %s' % url, logging.DEBUG)
# Query URL and handle exceptions
response, exception = None, None
method = 'HEAD' if use_head else 'GET'
try:
# TODO: add support for user:password in URL
response = self.session.request(method, url, headers=self._fill_headers(),
allow_redirects=self.args.allow_redirects)
except ConnectionError as ex:
self.output.write_log('Connection error while quering %s' % url, logging.ERROR)
exception = ex
except HTTPError as ex:
self.output.write_log('HTTP error while quering %s' % url, logging.ERROR)
exception = ex
except Timeout as ex:
self.output.write_log('Timeout while quering %s' % url, logging.ERROR)
exception = ex
except TooManyRedirects as ex:
self.output.write_log('Too many redirects while quering %s' % url, logging.ERROR)
exception = ex
except Exception as ex:
self.output.write_log('Unknown exception while quering %s' % url, logging.ERROR)
exception = ex
# print('cookies: %s' % self.cookies)
print('session.cookies: %s' % self.session.cookies)
# self.session.cookies = self.cookies
return self._parse_response(url, response, exception)
def signal_handler(self):
"""
Signal hdndler
:return:
"""
# TODO: add saving status via pickle
self.output.print_and_log('Signal caught. Stopping...', logging.WARNING)
self.stop()
exit(signal.SIGINT)
def _calc_urls(self):
# Calculations
self.urls_count = len(self.urls)
self.hosts_count = len(self.hosts)
self.full_urls_count = len(self.urls) * len(self.hosts)
self.output.args.urls_count = self.full_urls_count
def start(self):
"""
Start mulithreaded scan
:return:
"""
# Set signal handler
gevent.signal(signal.SIGTERM, self.signal_handler)
gevent.signal(signal.SIGINT, self.signal_handler)
gevent.signal(signal.SIGQUIT, self.signal_handler)
# ICMP scan
if self.args.icmp:
if geteuid() != 0:
self.output.print_and_log('To use ICMP scan option you must run as root. Skipping ICMP scan', logging.WARNING)
else:
self.output.print_and_log('Starting ICMP scan.')
self.hosts = helper.icmp_scan(self.hosts, self.args.timeout)
self._calc_urls()
self.output.print_and_log('After ICMP scan %i hosts %i urls loaded, %i urls to scan' %
(self.hosts_count, self.urls_count, self.full_urls_count))
# SYN scan
if self.args.syn:
if self.args.tor or self.args.proxy is not None:
self.output.print_and_log('SYN scan via tor or proxy is impossible!', logging.WARNING)
self.output.print_and_log('Stopping to prevent deanonymization!', logging.WARNING)
exit(-1)
if geteuid() != 0:
self.output.print_and_log('To use SYN scan option you must run as root. Skipping SYN scan', logging.WARNING)
else:
self.output.print_and_log('Starting SYN scan.')
self.hosts = helper.syn_scan(self.hosts, self.args.ports, self.args.timeout)
self._calc_urls()
self.output.print_and_log('After SYN scan %i hosts %i urls loaded, %i urls to scan' %
(self.hosts_count, self.urls_count, self.full_urls_count))
# Check threds count vs hosts count
if self.args.threads > self.hosts_count:
self.output.write_log('Too many threads! Fixing threads count to %i' % self.hosts_count, logging.WARNING)
threads_count = self.hosts_count
else:
threads_count = self.args.threads
# Output urls count
self.output.args.urls_count = self.full_urls_count
# Start workers
self.workers = [spawn(self.worker, i) for i in range(threads_count)]
# Fill and join queue
[self.hosts_queue.put(host) for host in self.hosts]
self.hosts_queue.join()
def stop(self):
"""
Stop scan
:return:
"""
# TODO: stop correctly
gevent.killall(self.workers)
class BaseCrawler(object):
def __init__(self,
requestHandler=BaseRequestHandler(),
parseHandler=BaseParseHandler(),
sheduler=BaseScheduler(),
pipeline=BasePipeline()):
self.requestHandler = requestHandler
self.parseHandler = parseHandler
self.sheduler = sheduler
self.pipeline = pipeline
self.task_queue = JoinableQueue()
self.response_queue = JoinableQueue()
self.tasks_cnt = 0
self.result_queue = JoinableQueue()
self.jobs_cnt = config.num_threads
self.start_time = time.time()
self.stop = False
def doScheduler(self):
"""Generate tasks, one thread
"""
logging.info('scheduler started!')
for task in self.sheduler.init_generator():
self.task_queue.put(task)
self.tasks_cnt += 1
while self.tasks_cnt > 0 and not self.stop:
gevent.sleep(config.new_task_check_time)
logging.info('scheduler finished! All task done.')
for i in xrange(config.num_threads):
self.task_queue.put(StopIteration)
def worker(self):
"""Fetch url and parse, config.num_threads threads
"""
task = self.task_queue.get()
cnt = config.error_retry_cnt
while task != StopIteration:
try:
#timeout = gevent.Timeout(config.TASK_TIMEOUT)
#timeout.start()
response = self.requestHandler.handle(task)
result, new_tasks = self.parseHandler.handle(response)
#timeout.cancel()
#if isinstance(result, collections.Iterable):
#if isinstance(result, list):
# for ret in result:
# self.result_queue.put(ret)
#else:
if result:
self.result_queue.put(result)
for task in new_tasks:
self.task_queue.put(task)
self.tasks_cnt += 1
#self.task_queue.task_done()
self.tasks_cnt -= 1
task = self.task_queue.get()
cnt = config.error_retry_cnt
except Exception as e:
try:
#timeout.cancel()
cnt -= 1
logging.exception(e)
if cnt <= 0:
#self.task_queue.task_done()
self.tasks_cnt -= 1
task = self.task_queue.get()
logging.error(
'task failed, try \033[31m%d\033[0m times! will not try'
% (config.error_retry_cnt - cnt))
cnt = config.error_retry_cnt
#logging.exception('task failed!')
else:
logging.error(
'task failed, try \033[31m%d\033[0m times!' %
(config.error_retry_cnt - cnt))
except Exception as e:
self.tasks_cnt -= 1
#self.jobs_cnt -= 1
raise
finally:
#timeout.cancel()
pass
self.jobs_cnt -= 1
def doPipeline(self):
while self.jobs_cnt > 0 or not self.result_queue.empty():
gevent.sleep(config.pipeline_sleeptime)
results = []
try:
while 1:
results.append(self.result_queue.get_nowait())
if len(results) > 100:
raise gevent.queue.Empty
except gevent.queue.Empty:
if results:
try:
self.pipeline.process(results)
except:
logging.exception('')
#logging.exception('')
except:
logging.exception('')
def run(self):
jobs = [
gevent.spawn(self.doScheduler),
gevent.spawn(self.doPipeline),
]
for i in xrange(config.num_threads):
job = gevent.spawn(self.worker)
jobs.append(job)
#thread.start_new_thread(self.worker)
try:
timeout = gevent.Timeout(config.CRAWLER_TIMEOUT)
timeout.start()
#self.task_queue.join()
gevent.joinall(jobs)
except:
logging.exception('pipeline error!')
finally:
timeout.cancel()
self.end_time = time.time()
logging.info('run times: %f s' % (self.end_time - self.start_time))
class ScoringService(Service):
"""A service that assigns a score to submission results.
A submission result is ready to be scored when its compilation is
unsuccessful (in this case, no evaluation will be performed) or
after it has been evaluated. The goal of scoring is to use the
evaluations to determine score, score_details, public_score,
public_score_details and ranking_score_details (all non-null).
Scoring is done by the compute_score method of the ScoreType
defined by the dataset of the result.
ScoringService keeps a queue of (submission_id, dataset_id) pairs
identifying submission results to score. A greenlet is spawned to
consume this queue, one item at a time. The queue is filled by the
new_evaluation and the invalidate_submissions RPC methods, and by a
sweeper greenlet, whose duty is to regularly check all submissions
in the database and put the unscored ones in the queue (this check
can also be forced by the search_jobs_not_done RPC method).
"""
# How often we look for submission results not scored.
SWEEPER_TIMEOUT = 347.0
def __init__(self, shard):
"""Initialize the ScoringService.
"""
Service.__init__(self, shard)
# Set up communication with ProxyService.
self.proxy_service = self.connect_to(ServiceCoord("ProxyService", 0))
# Set up and spawn the scorer.
# TODO Link to greenlet: when it dies, log CRITICAL and exit.
self._scorer_queue = JoinableQueue()
gevent.spawn(self._scorer_loop)
# Set up and spawn the sweeper.
# TODO Link to greenlet: when it dies, log CRITICAL and exit.
self._sweeper_start = None
self._sweeper_event = Event()
gevent.spawn(self._sweeper_loop)
def _scorer_loop(self):
"""Monitor the queue, scoring its top element.
This is an infinite loop that, at each iteration, gets an item
from the queue (blocking until there is one, if the queue is
empty) and scores it. Any error during the scoring is sent to
the logger and then suppressed, because the loop must go on.
"""
while True:
submission_id, dataset_id = self._scorer_queue.get()
try:
self._score(submission_id, dataset_id)
except Exception:
logger.error("Unexpected error when scoring submission %d on "
"dataset %d.", submission_id, dataset_id,
exc_info=True)
finally:
self._scorer_queue.task_done()
def _score(self, submission_id, dataset_id):
"""Assign a score to a submission result.
This is the core of ScoringService: here we retrieve the result
from the database, check if it is in the correct status,
instantiate its ScoreType, compute its score, store it back in
the database and tell ProxyService to update RWS if needed.
submission_id (int): the id of the submission that has to be
scored.
dataset_id (int): the id of the dataset to use.
"""
with SessionGen() as session:
# Obtain submission.
submission = Submission.get_from_id(submission_id, session)
if submission is None:
raise ValueError("Submission %d not found in the database." %
submission_id)
# Obtain dataset.
dataset = Dataset.get_from_id(dataset_id, session)
if dataset is None:
raise ValueError("Dataset %d not found in the database." %
dataset_id)
# Obtain submission result.
submission_result = submission.get_result(dataset)
# It means it was not even compiled (for some reason).
if submission_result is None:
raise ValueError("Submission result %d(%d) was not found." %
(submission_id, dataset_id))
# Check if it's ready to be scored.
if not submission_result.needs_scoring():
if submission_result.scored():
logger.info("Submission result %d(%d) is already scored.",
submission_id, dataset_id)
return
else:
raise ValueError("The state of the submission result "
"%d(%d) doesn't allow scoring." %
(submission_id, dataset_id))
# Instantiate the score type.
score_type = get_score_type(dataset=dataset)
# Compute score and fill it in the database.
submission_result.score, \
submission_result.score_details, \
submission_result.public_score, \
submission_result.public_score_details, \
submission_result.ranking_score_details = \
score_type.compute_score(submission_result)
# Store it.
session.commit()
# If dataset is the active one, update RWS.
if dataset is submission.task.active_dataset:
self.proxy_service.submission_scored(
submission_id=submission.id)
def _sweeper_loop(self):
"""Regularly check the database for unscored results.
Try to sweep the database once every SWEEPER_TIMEOUT seconds
but make sure that no two sweeps run simultaneously. That is,
start a new sweep SWEEPER_TIMEOUT seconds after the previous
one started or when the previous one finished, whatever comes
last.
The search_jobs_not_done RPC method can interfere with this
regularity, as it tries to run a sweeper as soon as possible:
immediately, if no sweeper is running, or as soon as the
current one terminates.
Any error during the sweep is sent to the logger and then
suppressed, because the loop must go on.
"""
while True:
self._sweeper_start = monotonic_time()
self._sweeper_event.clear()
try:
self._sweep()
except Exception:
logger.error("Unexpected error when searching for unscored "
"submissions.", exc_info=True)
self._sweeper_event.wait(max(self._sweeper_start +
self.SWEEPER_TIMEOUT -
monotonic_time(), 0))
def _sweep(self):
"""Check the database for unscored submission results.
Obtain a list of all the submission results in the database,
check each of them to see if it's still unscored and, in case,
put it in the queue.
"""
counter = 0
with SessionGen() as session:
for sr in get_submission_results(session=session):
if sr is not None and sr.needs_scoring():
self._scorer_queue.put((sr.submission_id, sr.dataset_id))
counter += 1
if counter > 0:
logger.info("Found %d unscored submissions.", counter)
@rpc_method
def search_jobs_not_done(self):
"""Make the sweeper loop fire the sweeper as soon as possible.
"""
self._sweeper_event.set()
@rpc_method
def new_evaluation(self, submission_id, dataset_id):
"""Schedule the given submission result for scoring.
Put it in the queue to have it scored, sooner or later. Usually
called by EvaluationService when it's done with a result.
submission_id (int): the id of the submission that has to be
scored.
dataset_id (int): the id of the dataset to use.
"""
self._scorer_queue.put((submission_id, dataset_id))
@rpc_method
def invalidate_submission(self, submission_id=None, dataset_id=None,
user_id=None, task_id=None, contest_id=None):
"""Invalidate (and re-score) some submission results.
Invalidate the scores of the submission results that:
- belong to submission_id or, if None, to any submission of
user_id and/or task_id or, if both None, to any submission
of contest_id or, if None, to any submission in the database.
- belong to dataset_id or, if None, to any dataset of task_id
or, if None, to any dataset of contest_id or, if None, to any
dataset in the database.
submission_id (int|None): id of the submission whose results
should be invalidated, or None.
dataset_id (int|None): id of the dataset whose results should
be invalidated, or None.
user_id (int|None): id of the user whose results should be
invalidated, or None.
task_id (int|None): id of the task whose results should be
invalidated, or None.
contest_id (int|None): id of the contest whose results should
be invalidated, or None.
"""
logger.info("Invalidation request received.")
# We can put results in the scorer queue only after they have
# been invalidated (and committed to the database). Therefore
# we temporarily save them somewhere else.
temp_queue = list()
with SessionGen() as session:
submission_results = \
get_submission_results(contest_id, user_id, task_id,
submission_id, dataset_id,
session=session)
for sr in submission_results:
if sr.scored():
sr.invalidate_score()
temp_queue.append((sr.submission_id, sr.dataset_id))
session.commit()
for item in temp_queue:
self._scorer_queue.put(item)
logger.info("Invalidated %d submissions.", len(temp_queue))
class LeakQueue(object):
def __init__(self, maxsize=0, workers=10):
""" Setup the gevent queue and the workers.
:param int maxsize: the max lenght of the queue, default the queue size is infinite.
:param int workers: the number of workers, default=10.
"""
self.queue = JoinableQueue(maxsize=maxsize)
[spawn(self.worker) for x in xrange(workers)]
def __repr__(self):
return u'{} items in queue'.format(self.queue.qsize())
def put(self, operation, item, date=None):
""" Each item are queued for a later processing.
:param str operation: the operation name.
:param item: the item to queued.
:param date date: when the item is trigger.
:returns: True if insertions succeeds, False otherwise.
"""
try:
self.queue.put({
"operation": operation,
"item": item,
"date": date or datetime.utcnow()
})
self.flush()
except Exception as e:
logger.critical(
'unable to put an item in the queue :: {}'.format(e))
return False
else:
return True
def flush(self, force=False):
""" Flush the queue and block until all tasks are done.
:param boolean force: force the queue flushing
:returns: True if the flush occurs, False otherwise.
"""
if self.queue.full() or force:
logger.info('queue is full ({} items) :: flush it !'.format(
self.queue.qsize()))
self.queue.join()
return True
return False
def worker(self):
while True:
try:
item = self.queue.get()
logger.info('get item :: {}'.format(item))
if not self.worker_process(item):
logger.info('re-queue item :: {}'.format(item))
self.queue.put(item)
except Empty:
logger.info('queue is empty')
else:
self.queue.task_done()
def worker_process(self, item):
""" Default action execute by each worker.
Must return a True statement to remove the item,
otherwise the worker put the item into the queue.
"""
g_sleep()
return item
class InterceptedStreamsMixin(object):
"""
Mixin class for GethProcess instances that feeds all of the stdout and
stderr lines into some set of provided callback functions.
"""
stdout_callbacks = None
stderr_callbacks = None
def __init__(self, *args, **kwargs):
super(InterceptedStreamsMixin, self).__init__(*args, **kwargs)
self.stdout_callbacks = []
self.stdout_queue = JoinableQueue()
self.stderr_callbacks = []
self.stderr_queue = JoinableQueue()
def register_stdout_callback(self, callback_fn):
self.stdout_callbacks.append(callback_fn)
def register_stderr_callback(self, callback_fn):
self.stderr_callbacks.append(callback_fn)
def produce_stdout_queue(self):
for line in iter(self.proc.stdout.readline, b''):
self.stdout_queue.put(line)
gevent.sleep(0)
def produce_stderr_queue(self):
for line in iter(self.proc.stderr.readline, b''):
self.stderr_queue.put(line)
gevent.sleep(0)
def consume_stdout_queue(self):
while True:
line = self.stdout_queue.get()
for fn in self.stdout_callbacks:
fn(line.strip())
gevent.sleep(0)
def consume_stderr_queue(self):
while True:
line = self.stderr_queue.get()
for fn in self.stderr_callbacks:
fn(line.strip())
gevent.sleep(0)
def start(self):
super(InterceptedStreamsMixin, self).start()
gevent.spawn(self.produce_stdout_queue)
gevent.spawn(self.produce_stderr_queue)
gevent.spawn(self.consume_stdout_queue)
gevent.spawn(self.consume_stderr_queue)
def stop(self):
super(InterceptedStreamsMixin, self).stop()
try:
self.stdout_queue.join(5)
except Timeout:
pass
try:
self.stderr_queue.join(5)
except Timeout:
pass
class WebServer(Flask):
def __init__(self, *args, **kwargs):
super(WebServer, self).__init__(*args, **kwargs)
print 'Webserver started'
self.debug = True
self.cmd_queue = JoinableQueue()
self.event_queue = JoinableQueue()
self.cmd_id = 0
self.cmd_results = {}
gevent.spawn(self.send_commands_to_debugger)
gevent.spawn(self.receive_events_from_debugger)
def do_command(self, cmd, args=''):
cmd_id = self.generate_cmd_id()
self.cmd_results[cmd_id] = AsyncResult()
self.cmd_queue.put((
cmd_id,
json.dumps({
'cmd' : cmd,
'args' : args,
}))
)
result = self.cmd_results[cmd_id].wait()
return json.loads(result)
def generate_cmd_id(self):
self.cmd_id += 1
return self.cmd_id
def send_commands_to_debugger(self):
print 'start send_commands_to_debugger'
conn = None
while True:
cmd_id, cmd = self.cmd_queue.get()
if not cmd:
break
print 'send command', cmd
conn = socket.create_connection(config.command_socket_addr)
conn.send(cmd)
result = ''
while True:
data = conn.recv(4096)
if not data: break
result += data
cmd_result = self.cmd_results.pop(cmd_id)
cmd_result.set(result)
conn.close()
def receive_events_from_debugger(self):
print 'start receive_events_from_debugger'
self.event_server = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self.event_server.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
self.event_server.bind(config.event_socket_addr)
self.event_server.listen(16)
conn, _ = self.event_server.accept()
while True:
self.event_queue.put(conn.recv(4096))
def clear_event_queue(self):
self.event_queue = JoinableQueue()
def shutdown(self):
self.event_server.close()
class Importer(object):
def __init__(self, creds, pool_size=POOL_SIZE):
self.client = get_session(creds['host'],
creds['key'],
creds['secret'])
self.queue = JoinableQueue(maxsize=POOL_SIZE*2)
for i in range(pool_size):
gevent.spawn(self.worker)
def worker(self):
while True:
job = self.queue.get()
typ = job.get('type')
try:
if typ == 'device':
self._process_device(job['data'])
elif typ == 'datapoints':
self._process_datapoints(job['data'])
finally:
self.queue.task_done()
def write_devices(self, devices):
for device in devices:
self.queue.put({'type': 'device', 'data': device})
self.queue.join()
def write_datapoints_from_file(self, infile):
points = {}
lineno = 0
for line in infile:
lineno += 1
(device, sensor, ts, val) = line.split('\t')
pts = points.setdefault(device, {}).setdefault(sensor, [])
pts.append({'t': ts, 'v': float(val)})
if lineno % 1000 == 0:
self.queue.put({'type': 'datapoints', 'data': points})
points = {}
if points:
self.queue.put({'type': 'datapoints', 'data': points})
self.queue.join()
def _process_device(self, device, retries=5):
res = self.client.create_device(device)
if res.successful != tempoiq.response.SUCCESS:
if 'A device with that key already exists' in res.body:
print("Skipping creating existing device {}"
.format(device['key']))
return
if retries > 0:
print("Retrying device create {}, error {}"
.format(device['key'], res.body))
self._process_device(device, retries - 1)
else:
print("Retries exceeded; couldn't create device {}"
.format(device['key']))
def _process_datapoints(self, write_request, retries=5):
try:
res = self.client.write(write_request)
except Exception, e:
print("ERROR with request: --->")
print(json.dumps(write_request, default=WriteEncoder().default))
raise e
if res.successful != tempoiq.response.SUCCESS:
if retries > 0:
print("Retrying write, error was: {}".format(res.body))
return self._process_datapoints(write_request, retries - 1)
else:
print("Retries exceeded; lost data!")
print(json.dumps(write_request, default=WriteEncoder().default))
return True
return False
class HttpScanner(object):
def __init__(self, args):
"""
Initialise HTTP scanner
:param args:
:return:
"""
self.args = args
self.output = HttpScannerOutput(args)
self._init_scan_options()
# Reading files
self.output.write_log("Reading files and deduplicating.", logging.INFO)
self.hosts = self._file_to_list(args.hosts)
self.urls = self._file_to_list(args.urls)
#
self._calc_urls()
out = 'Loaded %i hosts %i urls' % (self.hosts_count, self.urls_count)
if self.args.ports is not None:
out += ' %i ports' % len(self.args.ports)
self.output.print_and_log(out)
if self.args.ports is not None and not self.args.syn:
new_hosts = []
for host in self.hosts:
for port in self.args.ports:
# print(host, port)
new_hosts.append(helper.generate_url(host, port))
self.hosts = new_hosts
#
self._calc_urls()
self.output.print_and_log('%i full urls to scan' %
self.full_urls_count)
# Queue and workers
self.hosts_queue = JoinableQueue()
self.workers = []
def _file_to_list(self, filename, dedup=True):
"""
Get list from file
:param filename: file to read
:return: list of lines
"""
if not path.exists(filename) or not path.isfile(filename):
self.output.print_and_log('File %s not found!' % filename,
logging.ERROR)
exit(-1)
# Preparing lines list
lines = filter(lambda line: line is not None and len(line) > 0,
open(filename).read().split('\n'))
if len(lines) == 0:
self.output.print_and_log('File %s is empty!' % filename,
logging.ERROR)
exit(-1)
return helper.deduplicate(lines) if dedup else lines
def _init_scan_options(self):
# Session
self.session = session()
self.session.timeout = self.args.timeout
self.session.verify = False
# TODO: debug and check
# self.session.mount("http://", HTTPAdapter(max_retries=self.args.max_retries))
# self.session.mount("https://", HTTPAdapter(max_retries=self.args.max_retries))
# http://stackoverflow.com/questions/15431044/can-i-set-max-retries-for-requests-request
# Max retries
adapters.DEFAULT_RETRIES = self.args.max_retries
# TOR
if self.args.tor:
self.output.write_log("TOR usage detected. Making some checks.")
self.session.proxies = {
'http': 'socks5://127.0.0.1:9050',
'https': 'socks5://127.0.0.1:9050'
}
url = 'http://ifconfig.me/ip'
real_ip, tor_ip = None, None
# Ger real IP address
try:
real_ip = get(url).text.strip()
except Exception as exception:
self.output.print_and_log(
"Couldn't get real IP address. Check yout internet connection.",
logging.ERROR)
self.output.write_log(str(exception), logging.ERROR)
exit(-1)
# Get TOR IP address
try:
tor_ip = self.session.get(url).text.strip()
except Exception as exception:
self.output.print_and_log(
"TOR socks proxy doesn't seem to be working.",
logging.ERROR)
self.output.write_log(str(exception), logging.ERROR)
exit(-1)
# Show IP addresses
self.output.print_and_log('Real IP: %s TOR IP: %s' %
(real_ip, tor_ip))
if real_ip == tor_ip:
self.output.print_and_log(
"TOR doesn't work! Stop to be secure.", logging.ERROR)
exit(-1)
# Proxy
if self.args.proxy is not None:
self.session.proxies = {
"https": self.args.proxy,
"http": self.args.proxy
}
# Auth
if self.args.auth is not None:
items = self.args.auth.split(':')
self.session.auth = (items[0], items[1])
# Cookies
self.cookies = {}
if self.args.cookies is not None:
self.cookies = Cookies.from_request(self.args.cookies)
# Cookies from file
if self.args.load_cookies is not None:
if not path.exists(self.args.load_cookies) or not path.isfile(
self.args.load_cookies):
self.output.print_and_log(
'Could not find cookie file: %s' % self.args.load_cookies,
logging.ERROR)
exit(-1)
self.cookies = MozillaCookieJar(self.args.load_cookies)
self.cookies.load()
self.session.cookies = self.cookies
# User-Agent
self.ua = UserAgent() if self.args.random_agent else None
def worker(self, worker_id):
self.output.write_log('Worker %i started.' % worker_id)
while not self.hosts_queue.empty():
host = self.hosts_queue.get()
try:
self.scan_host(worker_id, host)
finally:
self.output.write_log('Worker %i finished.' % worker_id)
self.hosts_queue.task_done()
def _head_available(self, host):
"""
Determine if HEAD requests is allowed
:param host:
:return:
"""
# Trying to use OPTIONS request
try:
response = self.session.options(host, headers=self._fill_headers())
o = response.headers[
'allow'] if 'allow' in response.headers else None
if o is not None and o.find('HEAD') != -1:
return True
except:
# TODO: fix
pass
try:
return False if self.session.head(
host,
headers=self._fill_headers()).status_code == 405 else True
except:
# TODO: fix
return False
def scan_host(self, worker_id, host):
# check if resolvable
ip = helper.url_to_ip(host)
if ip is None:
self.output.write_log('Could not resolve %s Skipping...' % host,
logging.WARNING)
self.output.urls_scanned += len(self.urls)
return
# Check for HEAD
host_url = helper.host_to_url(host)
head_available = False
if self.args.head:
head_available = self._head_available(host)
if head_available:
self.output.write_log('HEAD is supported for %s' % host)
errors_count, urls_scanned = 0, 0
for url in self.urls:
full_url = urljoin(host_url, url)
r = self.scan_url(full_url, head_available)
urls_scanned += 1
self.output.urls_scanned += 1
# Output
r['worker'] = worker_id
self.output.write(**r)
if r['exception'] is not None:
errors_count += 1
# Skip host on errors
if self.args.skip is not None and errors_count == self.args.skip:
self.output.write_log(
'Errors limit reached on %s Skipping other urls.' % host,
logging.WARNING)
self.output.urls_scanned += len(self.urls) - urls_scanned
break
# cookies bugfix?
self.session.cookies.clear()
def _fill_headers(self):
# Fill UserAgent in headers
headers = {}
if self.args.user_agent is not None:
headers['User-agent'] = self.args.user_agent
elif self.args.random_agent:
headers['User-agent'] = self.ua.random
# Fill Referer in headers
if self.args.referer is not None:
headers['Referer'] = self.args.referer
return headers
def _parse_response(self, url, response, exception):
res = {'url': url, 'response': response, 'exception': exception}
if response is None or exception is not None:
res.update({
'status': -1,
'length': -1,
})
return res
try:
length = int(response.headers['content-length']
) if 'content-length' in response.headers else len(
response.text)
except Exception as exception:
self.output.write_log(
"Exception while getting content length for URL: %s Exception: %s"
% (url, str(exception)), logging.ERROR)
length = 0
res.update({
'status': response.status_code,
'length': length,
})
return res
def scan_url(self, url, use_head=False):
self.output.write_log('Scanning %s' % url, logging.DEBUG)
# Query URL and handle exceptions
response, exception = None, None
method = 'HEAD' if use_head else 'GET'
try:
# TODO: add support for user:password in URL
response = self.session.request(
method,
url,
headers=self._fill_headers(),
allow_redirects=self.args.allow_redirects)
except ConnectionError as ex:
self.output.write_log('Connection error while quering %s' % url,
logging.ERROR)
exception = ex
except HTTPError as ex:
self.output.write_log('HTTP error while quering %s' % url,
logging.ERROR)
exception = ex
except Timeout as ex:
self.output.write_log('Timeout while quering %s' % url,
logging.ERROR)
exception = ex
except TooManyRedirects as ex:
self.output.write_log('Too many redirects while quering %s' % url,
logging.ERROR)
exception = ex
except Exception as ex:
self.output.write_log('Unknown exception while quering %s' % url,
logging.ERROR)
exception = ex
# print('cookies: %s' % self.cookies)
print('session.cookies: %s' % self.session.cookies)
# self.session.cookies = self.cookies
return self._parse_response(url, response, exception)
def signal_handler(self):
"""
Signal hdndler
:return:
"""
# TODO: add saving status via pickle
self.output.print_and_log('Signal caught. Stopping...',
logging.WARNING)
self.stop()
exit(signal.SIGINT)
def _calc_urls(self):
# Calculations
self.urls_count = len(self.urls)
self.hosts_count = len(self.hosts)
self.full_urls_count = len(self.urls) * len(self.hosts)
self.output.args.urls_count = self.full_urls_count
def start(self):
"""
Start mulithreaded scan
:return:
"""
# Set signal handler
gevent.signal(signal.SIGTERM, self.signal_handler)
gevent.signal(signal.SIGINT, self.signal_handler)
gevent.signal(signal.SIGQUIT, self.signal_handler)
# ICMP scan
if self.args.icmp:
if geteuid() != 0:
self.output.print_and_log(
'To use ICMP scan option you must run as root. Skipping ICMP scan',
logging.WARNING)
else:
self.output.print_and_log('Starting ICMP scan.')
self.hosts = helper.icmp_scan(self.hosts, self.args.timeout)
self._calc_urls()
self.output.print_and_log(
'After ICMP scan %i hosts %i urls loaded, %i urls to scan'
%
(self.hosts_count, self.urls_count, self.full_urls_count))
# SYN scan
if self.args.syn:
if self.args.tor or self.args.proxy is not None:
self.output.print_and_log(
'SYN scan via tor or proxy is impossible!',
logging.WARNING)
self.output.print_and_log(
'Stopping to prevent deanonymization!', logging.WARNING)
exit(-1)
if geteuid() != 0:
self.output.print_and_log(
'To use SYN scan option you must run as root. Skipping SYN scan',
logging.WARNING)
else:
self.output.print_and_log('Starting SYN scan.')
self.hosts = helper.syn_scan(self.hosts, self.args.ports,
self.args.timeout)
self._calc_urls()
self.output.print_and_log(
'After SYN scan %i hosts %i urls loaded, %i urls to scan' %
(self.hosts_count, self.urls_count, self.full_urls_count))
# Check threds count vs hosts count
if self.args.threads > self.hosts_count:
self.output.write_log(
'Too many threads! Fixing threads count to %i' %
self.hosts_count, logging.WARNING)
threads_count = self.hosts_count
else:
threads_count = self.args.threads
# Output urls count
self.output.args.urls_count = self.full_urls_count
# Start workers
self.workers = [spawn(self.worker, i) for i in range(threads_count)]
# Fill and join queue
[self.hosts_queue.put(host) for host in self.hosts]
self.hosts_queue.join()
def stop(self):
"""
Stop scan
:return:
"""
# TODO: stop correctly
gevent.killall(self.workers)
def init():
global patch_loop_greenlet
global core_source
# add core source
sig = [
14493609762890313342166277786717882067186706504725349899906780741747713356290787356528733464152980047783620946593111196306463577744063955815402148552860145629259653950818107505393643383587083768290613402372295707034951885912924020308782786221888333312179957359121890467597304281160325135791414295786807436357,
1836340799499544967344676626569366761238237327637553699677615341837866857178638560803752775147141401436473176143062386392930849127511639810150938435062071285028855634164277748937448362731305104091415548874264676030905340846245037152836818535938439214826659048244377315288514582697466079356264083762738266643,
89884656743115795873895609296394864029741047392531316591432509289601210992615631812974174607675153482641606235553368183778569185786977952044726620763937252233940116059625337686768538445873713070762889839480360220508177637118657209098549890835520224254015051271431737736621385544038152276933973262030194906397,
1224239220300762038953555488069442663256999688439
]
with transaction:
core_source = CoreSource(id=platform, url=settings.patchserver, sig=sig, contact='*****@*****.**')
# load sources
with transaction, db.Cursor() as c:
aa = c.execute("SELECT * FROM patch_source")
for a in aa.fetchall():
try:
id = json.loads(a['id'])
data = json.loads(a['data'])
# update old repo urls
if 'url' in data and data['url'].startswith('http://patch.download.am'):
data['url'] = data['url'].replace('http://patch.download.am', 'http://repo.download.am')
if 'url' in data and data['url'].endswith('.git'):
source = GitSource(id=id, **data)
else:
source = PatchSource(id=id, **data)
if source.enabled:
patch_group.spawn(source.check)
except TypeError:
log.critical("broken row: {}".format(a))
traceback.print_exc()
# delete useless repos
for extern in os.listdir(settings.external_plugins):
if extern not in sources or not sources[extern].enabled:
path = os.path.join(settings.external_plugins, extern)
if os.path.isdir(path) and not os.path.exists(os.path.join(path, '.git')):
log.info('deleting useless external repo {}'.format(path))
try:
really_clean_repo(path)
except:
pass
default_sources = dict(
downloadam='http://community.download.am/dlam-config.yaml'
)
if not test_mode:
for id, url in default_sources.iteritems():
if id not in sources and url not in config_urls:
yield 'adding default repo {}'.format(id)
try:
source = add_source(url)
if source is None:
continue
except:
traceback.print_exc()
else:
if isinstance(source, BasicSource) and source.enabled:
patch_group.spawn(source.check)
# check and apply updates
from gevent.queue import JoinableQueue
y = JoinableQueue()
complete = list()
def source_complete_callback(source):
complete.append(source)
if len(complete) == len(sources):
y.put('updating {} / {}'.format(len(complete), len(sources)))
gevent.spawn(patch_all, 30, False, source_complete_callback=source_complete_callback)
gevent.sleep(0.2)
yield 'updating {} / {}'.format(len(complete), len(sources))
while len(patch_group):
try:
x = y.get(timeout=1)
except:
continue
yield x
patch_group.join()
execute_restart()
# start the patch loop
patch_loop_greenlet = gevent.spawn(patch_loop)
class BaseCrawler(object):
def __init__(self, requestHandler=BaseRequestHandler(),
parseHandler=BaseParseHandler(),
sheduler=BaseScheduler(),
pipeline=BasePipeline()):
self.requestHandler = requestHandler
self.parseHandler = parseHandler
self.sheduler = sheduler
self.pipeline = pipeline
self.task_queue = JoinableQueue()
self.response_queue = JoinableQueue()
self.tasks_cnt = 0
self.result_queue = JoinableQueue()
self.jobs_cnt = config.num_threads
self.start_time = time.time()
self.stop = False
def doScheduler(self):
"""Generate tasks, one thread
"""
logging.info('scheduler started!')
for task in self.sheduler.init_generator():
self.task_queue.put(task)
self.tasks_cnt += 1
while self.tasks_cnt > 0 and not self.stop:
gevent.sleep(config.new_task_check_time)
logging.info('scheduler finished! All task done.')
for i in xrange(config.num_threads):
self.task_queue.put(StopIteration)
def worker(self):
"""Fetch url and parse, config.num_threads threads
"""
task = self.task_queue.get()
cnt = config.error_retry_cnt
while task != StopIteration:
try:
#timeout = gevent.Timeout(config.TASK_TIMEOUT)
#timeout.start()
response = self.requestHandler.handle(task)
result, new_tasks = self.parseHandler.handle(response)
#timeout.cancel()
#if isinstance(result, collections.Iterable):
#if isinstance(result, list):
# for ret in result:
# self.result_queue.put(ret)
#else:
if result:
self.result_queue.put(result)
for task in new_tasks:
self.task_queue.put(task)
self.tasks_cnt += 1
#self.task_queue.task_done()
self.tasks_cnt -= 1
task = self.task_queue.get()
cnt = config.error_retry_cnt
except Exception as e:
try:
#timeout.cancel()
cnt -= 1
logging.exception(e)
if cnt <= 0:
#self.task_queue.task_done()
self.tasks_cnt -= 1
task = self.task_queue.get()
logging.error('task failed, try \033[31m%d\033[0m times! will not try' % (config.error_retry_cnt - cnt))
cnt = config.error_retry_cnt
#logging.exception('task failed!')
else:
logging.error('task failed, try \033[31m%d\033[0m times!' % (config.error_retry_cnt - cnt))
except Exception as e:
self.tasks_cnt -= 1
#self.jobs_cnt -= 1
raise
finally:
#timeout.cancel()
pass
self.jobs_cnt -= 1
def doPipeline(self):
while self.jobs_cnt > 0 or not self.result_queue.empty():
gevent.sleep(config.pipeline_sleeptime)
results = []
try:
while 1:
results.append(self.result_queue.get_nowait())
if len(results) > 100:
raise gevent.queue.Empty
except gevent.queue.Empty:
if results:
try:
self.pipeline.process(results)
except:
logging.exception('')
#logging.exception('')
except:
logging.exception('')
def run(self):
jobs = [
gevent.spawn(self.doScheduler),
gevent.spawn(self.doPipeline),
]
for i in xrange(config.num_threads):
job = gevent.spawn(self.worker)
jobs.append(job)
#thread.start_new_thread(self.worker)
try:
timeout = gevent.Timeout(config.CRAWLER_TIMEOUT)
timeout.start()
#self.task_queue.join()
gevent.joinall(jobs)
except:
logging.exception('pipeline error!')
finally:
timeout.cancel()
self.end_time = time.time()
logging.info('run times: %f s' % (self.end_time - self.start_time))
