def handle(self, **options):
self.start_time = time.time()
pid = Pid('remove_bad_crawl_related', True)
self.having_hits_mv = not options.get('all')
self.chunk_size = options.get('chunk-size')
self.chunked = not options.get('simple')
self.limit = options.get('limit')
self.fix_interrupted = options.get('fix-interrupted')
self.crawl_count = self.get_crawls_count()
if options.get('count-only') or self.crawl_count == 0:
self.handle_count_only()
self.fix_interrupted and self.update_interrupted_crawl_stats()
# if limit is specified, show X/Y instead of just Y
log.info('Starting bad crawl related data removal, {0}{1} records will '
'be processed.'.format(
'{0}/'.format(self.limit) if self.limit else '',
self.crawl_count))
ids = self.get_crawl_ids()
deleted = self.do_deletes(ids)
log.info('Command took: {0}, {1} crawls processed.'.format(
self.time_elapsed(), deleted))
pid.remove_pid()
def handle(self, **options):
self.process_options(options)
pid = Pid(self.pidfile, True)
start_time = time.time()
try:
cur = connection.cursor()
self.logger.info('Calling {0}({1}, {2}), start time: {3}.'.format(
self.proc_name, self.start, self.end, now()))
cur.callproc(self.proc_name, self.get_proc_args())
transaction.commit_unless_managed()
self.logger.info('{0} for crawls from {1} to {2} took: {3}.'.format(
self.proc_name, self.start, self.end, time.time() - start_time))
except Exception as e:
self.logger.exception(e)
finally:
pid.remove_pid()
if options.get('verbosity') == 0:
self.logger.setLevel(logging.DEBUG)
def handle(self, **options):
pid = Pid('mturk_agregates', True)
start_time = time.time()
log.info('Updating crawl agregates')
update_crawl_agregates(only_new=True)
log.info('db_update_agregates took: %s' % (time.time() - start_time))
pid.remove_pid()
def handle(self, **options):
pid = Pid("mturk_aggregates", True)
self.process_options(options)
start_time = time.time()
log.info("Updating crawl agregates")
update_crawl_agregates(start=self.start, end=self.end, clear_existing=self.clear_existing)
log.info("db_update_agregates took: %s" % (time.time() - start_time))
pid.remove_pid()
def handle(self, **options):
"""Main command entry point."""
self.options = options
if self.options['list']:
pass # do nothing, go straight to print_status
else:
pid = Pid(self.options.get('pidfile'), True)
self.prepare_options() # sets self.reports and prints errors is any
self.reports and (self.handle_purge() or self.handle_cache())
pid.remove_pid()
self.print_status()
def handle(self, **options):
pid = Pid('mtur_aggregates')
self.process_options(options)
start_time = time.time()
log.info('Refreshing hits_mv')
update_mviews(clear_existing=self.clear_existing, force=self.force,
start=self.start, end=self.end)
log.info('Done refreshing hits_mv db_refresh_mviews took: {0}s.'.format(
time.time() - start_time))
pid.remove_pid()
def handle(self, **options):
pid = Pid('mturk_crawler', True)
start_time = time.time()
log.info('Removing duplicate hitgroupcontent and hitgroupstatuses.')
clean_duplicates()
log.info('Refreshing hits_mv')
update_mviews()
log.info('Done refreshing hits_mv')
log.info('db_refresh_mviews took: %s' % (time.time() - start_time))
pid.remove_pid()
def test_read_pid_success(self):
"""
:return:
"""
self.pid.write_pid()
self.assertIsInstance(Pid.read_pid(), int)
self.pid.delete_pid()
def handle(self, **options):
pid = Pid('mturk_cache_topreq', True)
report_type = options.get('report-type')
if report_type not in ToprequestersReport.values:
log.info('Unknown report type: "{0}".'.format(report_type))
return
key = ToprequestersReport.get_cache_key(report_type)
display_name = ToprequestersReport.display_names[report_type]
if cache.get(key) is None:
log.info(('"{0}" toprequesters report missing, recalculating.'
).format(display_name))
else:
if options['force']:
log.info('Recalculating "{0}" toprequesters report.'.format(
display_name))
else:
log.info('"{0}" toprequesters still in cache, use --force flag'
' to rebuild anyway.'.format(display_name))
return
days = options['days']
# no chache perform query:
start_time = time.time()
data = ToprequestersReport.REPORT_FUNCTION[report_type](days)
log.info('Toprequesters report "{0}" generated in: {1}s.'.format(
display_name, time.time() - start_time))
# too often we get no information on the success of caching
if not data:
log.warning('Data returned by report function is {0}!'.format(data))
else:
cache.set(key, data, HOURS4)
in_cache = cache.get(key, data)
if in_cache is None:
log.warning('Cache error - data could not be fetched!')
pid.remove_pid()
def handle(self, **options):
pid = Pid('mturk_diffs', True)
transaction.enter_transaction_management()
transaction.managed(True)
start_time = time.time()
try:
items = Crawl.objects.filter(is_spam_computed=False
).order_by('-id')[:options['limit']]
lenitems = len(items)
log.info(('Starting db_update_diffs, {0} crawls will be updated.'
).format(lenitems))
for c in items:
updated = update_cid(c.id)
if updated > 0:
c.has_diffs = True
c.save()
transaction.commit()
except (KeyError, KeyboardInterrupt) as e:
log.info(('Exception, rolling back the transaction and exiting: {0}'
).format(e))
transaction.rollback()
pid.remove_pid()
exit()
log.info('Success! Updating {0} crawls took: {1} s'.format(
lenitems, time.time() - start_time))
def handle(self, *args, **options):
self.mturk_email = getattr(settings, 'MTURK_AUTH_EMAIL', None)
self.mturk_password = getattr(settings, 'MTURK_AUTH_PASSWORD', None)
_start_time = time.time()
pid = Pid('mturk_crawler', True)
log.info('crawler started: %s;;%s', args, options)
if options.get('mturk_email'):
self.mturk_email = options['mturk_email']
if options.get('mturk_password'):
self.mturk_password = options['mturk_password']
if options.get('logconf', None):
self.setup_logging(options['logconf'])
if options.get('debug', False):
self.setup_debug()
print 'Current proccess pid: %s' % pid.actual_pid
print ('To debug, type: python -c "import os,signal; '
'os.kill(%s, signal.SIGUSR1)"\n') % pid.actual_pid
self.maxworkers = options['workers']
if self.maxworkers > 9:
# If you want to remote this limit, don't forget to change dbpool
# object maximum number of connections. Each worker should fetch
# 10 hitgroups and spawn single task for every one of them, that
# will get private connection instance. So for 9 workers it's
# already 9x10 = 90 connections required
#
# Also, for too many workers, amazon isn't returning valid data
# and retrying takes much longer than using smaller amount of
# workers
sys.exit('Too many workers (more than 9). Quit.')
start_time = datetime.datetime.now()
hits_available = tasks.hits_mainpage_total()
groups_available = tasks.hits_groups_total()
# create crawl object that will be filled with data later
crawl = Crawl.objects.create(
start_time=start_time,
end_time=start_time,
success=True,
hits_available=hits_available,
hits_downloaded=0,
groups_available=groups_available,
groups_downloaded=groups_available)
log.debug('fresh crawl object created: %s', crawl.id)
# fetch those requester profiles so we could decide if their hitgroups
# are public or not
reqesters = RequesterProfile.objects.all_as_dict()
dbpool = ThreadedConnectionPool(10, 90,
'dbname=%s user=%s password=%s' % (
settings.DATABASES['default']['NAME'],
settings.DATABASES['default']['USER'],
settings.DATABASES['default']['PASSWORD']))
# collection of group_ids that were already processed - this should
# protect us from duplicating data
processed_groups = set()
total_reward = 0
hitgroups_iter = self.hits_iter()
for hg_pack in hitgroups_iter:
jobs = []
for hg in hg_pack:
if hg['group_id'] in processed_groups:
log.debug('Group already in processed_groups, skipping.')
continue
processed_groups.add(hg['group_id'])
j = gevent.spawn(tasks.process_group,
hg, crawl.id, reqesters, processed_groups, dbpool)
jobs.append(j)
total_reward += hg['reward'] * hg['hits_available']
log.debug('processing pack of hitgroups objects')
gevent.joinall(
jobs, timeout=settings.CRAWLER_GROUP_PROCESSING_TIMEOUT)
# check if all jobs ended successfully
for job in jobs:
if not job.ready():
log.error('Killing job: %s', job)
job.kill()
if len(processed_groups) >= groups_available:
log.info('Skipping empty groups.')
# there's no need to iterate over empty groups.. break
break
# amazon does not like too many requests at once, so give them a
# quick rest...
gevent.sleep(1)
dbpool.closeall()
# update crawler object
crawl.groups_downloaded = len(processed_groups)
crawl.end_time = datetime.datetime.now()
crawl.save()
work_time = time.time() - _start_time
log.info("""Crawl finished:
created crawl id: {crawl_id})
total reward value: {total_reward}
hits groups downloaded: {processed_groups}
hits groups available: {groups_available}
work time: {work_time:.2f} seconds
""".format(crawl_id=crawl.id, total_reward=total_reward,
processed_groups=len(processed_groups),
groups_available=groups_available,
work_time=work_time))
crawl_downloaded_pc = settings.INCOMPLETE_CRAWL_THRESHOLD
crawl_warning_pc = settings.INCOMPLETE_CRAWL_WARNING_THRESHOLD
crawl_time_warning = settings.CRAWLER_TIME_WARNING
downloaded_pc = float(crawl.groups_downloaded) / groups_available
if work_time > crawl_time_warning:
log.warning(("Crawl took {0}s which seems a bit too long (more "
"than {1}s), you might consider checking if correct mturk "
"account is used, ignore this if high number of groups is "
"experienced.").format(work_time, crawl_time_warning))
if downloaded_pc < crawl_warning_pc:
log.warning(('Only {0}% of hit groups were downloaded, below '
'({1}% warning threshold) please check mturk account '
'configuration and/or if there are any network-related '
'problems.').format(downloaded_pc, crawl_warning_pc))
if downloaded_pc < crawl_downloaded_pc:
log.warning("This crawl contains far too few groups downloaded to "
"available: {0}% < {1}% downloaded threshold and will be "
"considered as erroneous ({2}/{3} groups).".format(
downloaded_pc, crawl_downloaded_pc,
crawl.groups_downloaded, groups_available))
pid.remove_pid()
type=str,
help='Defines the folder where the lof trace goes')
udp_log = parser.add_mutually_exclusive_group()
udp_log.add_argument('--no-udp-log', dest="log_udp", action='store_false')
udp_log.add_argument('-udp-log',
dest="udp_host",
type=str,
nargs=2,
metavar=('ip', 'port'))
args = parser.parse_args(sys.argv[1:])
log = logger.Logger(level='debug')
log.add_file_handler()
log.add_stream_handler(sys.stdout)
onetime_program = Pid('oled')
if onetime_program.is_running():
logger.error('Program is already running')
sys.exit(1)
else:
onetime_program.set_pidfile()
logger.info('Program is starting')
joy1 = Joystick()
a_button = Pushbutton('A', 5)
b_button = Pushbutton('B', 6)
display = Oled_128_64(content=None)
menu2 = GContainer(SCREEN_SIZE, (0, 0),
objects=[
GTextBox((110, 9), (0, 0),
"Broadcasting...",
def run(self):
pid = Pid('mturk_crawler', True)
log.info('Crawler started')
start_time = datetime.datetime.now()
#Fetching statistical information about groups and HITs count
log.debug("Fetching stats")
main_response = urllib2.urlopen(get_allhit_url())
main_html = main_response.read()
main_soup = BeautifulSoup(main_html, parseOnlyThese=SoupStrainer(text=re.compile("(^[0-9,]+ HITs|of [0-9]+ Results)")))
main_stats = [tag for tag in main_soup]
hits_available = -1
groups_available = -1
if len(main_stats) > 1:
hits_available_tmp = main_stats[0]
hits_available_tmp = hits_available_tmp[:hits_available_tmp.find(' ')].replace(',', '')
hits_available = int(hits_available_tmp)
groups_available_tmp = main_stats[1]
groups_available_tmp = groups_available_tmp[groups_available_tmp.find('of')+3:groups_available_tmp.find('Results')-1]
groups_available = int(groups_available_tmp)
main_soup = None
#Fetching data from every mturk.com HITs list page
log.debug("Allhit processing")
result_allhit = self.process_values(range(1,self.get_max_page(main_html)+1), callback_allhit,
self.processes_count)
self.data = result_allhit['data']
self.append_errors(result_allhit['errors'])
#Fetching html details for every HIT group
log.debug("Details processing")
result_details = self.process_values(self.data, callback_details,
self.processes_count)
self.data = result_details['data']
self.append_errors(result_details['errors'])
hits_downloaded = sum([hgs['HitGroupStatus']['hits_available'] for hgs in self.data])
groups_downloaded = len(self.data)
#Logging crawl information into the database
success = False
if groups_downloaded > 0 and hits_downloaded > 0 and groups_available/groups_downloaded <= 1.5 and hits_available/hits_downloaded <= 1.5:
success = True
log.debug("Crawl finished with success=%s. Saving main_crawl entry" % success)
crawl = Crawl(**{
'start_time': start_time,
'end_time': datetime.datetime.now(),
'success': success,
'hits_available': hits_available,
'hits_downloaded': hits_downloaded,
'groups_available': groups_available,
'groups_downloaded': groups_downloaded,
#'errors': str(self.errors) # !
'errors': ''
})
crawl.save()
#Adding crawl FK
log.debug("Adding FKs")
result_add_crawlfk = self.process_values(self.data, callback_add_crawlfk,
crawl=crawl)
self.data = result_add_crawlfk['data']
self.append_errors(result_add_crawlfk['errors'])
#Saving results in the database
log.debug("Saving results")
result_save_database = self.process_values(self.data, callback_database)
self.append_errors(result_save_database['errors'])
print self.errors
log.info(
"Crawler finished %ssuccessfully in %s with %d results, %d HITs (of %d and %d) and %d errors" % (
"" if success else "un",
(datetime.datetime.now()-start_time),
groups_downloaded,
hits_downloaded,
groups_available,
hits_available,
len(self.errors)
)
)
pid.remove_pid()
def handle(self, **options):
pid = Pid(self.pid_file) if self.pid_file else None
self.start_time = time.time()
self.process_options(options)
try:
self.prepare_data()
# query crawls in the period we want to process
crawls = self.get_crawls()
self.total_count = len(crawls)
if self.total_count < self.min_crawls:
self.log.info("Not enough crawls to process.")
return
done = 0
self.log.info("""
Starting {6}.
{0} crawls will be processed in chunks of {3} (overlap: {7}).
-- {1} to
-- {2},
id from {4} to {5}.
""".format(self.total_count,
self.start.strftime('%y-%m-%d %H:%M:%S'),
self.end.strftime('%y-%m-%d %H:%M:%S'),
self.chunk_size,
crawls[0].id, crawls[self.total_count - 1].id,
self.display_name, self.overlap))
# iterate over overlapping chunks of crawls list
for chunk in self.chunks(crawls, self.chunk_size,
overlap=self.overlap):
start, end = (chunk[-1].start_time, chunk[0].start_time)
self.log.info(('Chunk of {0} crawls: {1}\nstart_time {2} to '
'{3}.').format(len(chunk), [c.id for c in chunk],
start.strftime('%y-%m-%d %H:%M:%S'),
end.strftime('%y-%m-%d %H:%M:%S')))
chunk_time = time.time()
if not self.process_chunk(start, end, chunk):
break
chunk_time = time.time() - chunk_time
self.store_chunk_time(chunk_time)
done += len(chunk) - self.overlap
self.log.info(('\n chunk {0} \n total {1} '
'\n ETA {4}, {2}/{3} done, ').format(
humanized_time(chunk_time),
humanized_time(self.get_elapsed()),
done, self.total_count - self.overlap,
humanized_time(self.get_eta())))
except Exception as e:
self.log.exception(e)
else:
self.log.info('{0} crawls processed in {1}s, exiting.'.format(
self.total_count, self.get_elapsed()))
finally:
pid and pid.remove_pid()
def handle(self, **options):
"""
Take ${lmit} last crawls without spam classification
Classify all hit groups, update hits_mv to have proper hit classification
Rebuild crawl_aggregates for a given crawl
Refresh memcache
"""
service = get_prediction_service()
pid = Pid('classify_spam', True)
transaction.enter_transaction_management()
transaction.managed(True)
start_time = time.time()
try:
number_of_predictions = 0
for c in list(Crawl.objects.filter(is_spam_computed=False).order_by('-id')[:options['limit']]):
log.info("processing %s", c)
spam = set([])
not_spam = set([])
updated = 0
for row in query_to_dicts("""select content_id, group_id, is_spam from hits_mv
where
crawl_id = %s""", c.id):
log.info("classyfing crawl_id: %s, %s", c.id, row)
if row['is_spam'] is None:
is_spam = None
content = HitGroupContent.objects.get(id=row['content_id'])
if content.is_spam is None:
data = content.prepare_for_prediction()
body = {'input': {'csvInstance': data}}
prediction = service.predict(body=body, data=options['file']).execute()
number_of_predictions += 1
updated += 1
content.is_spam = prediction['outputLabel'] != 'No'
content.save()
execute_sql("update hits_mv set is_spam = %s where crawl_id = %s and group_id = '%s'" % ('true' if content.is_spam else 'false', c.id, row['group_id']))
transaction.commit()
if content.is_spam:
log.info("detected spam for %s", row)
spam.add(str(row['content_id']))
else:
not_spam.add(str(row['content_id']))
else:
log.info("is_spam already computed for %s" % row)
if updated > 0:
c.is_spam_computed = True
c.save()
log.info("done classyfing crawl")
execute_sql("""UPDATE main_crawlagregates
set spam_projects =
( select count(*) from hits_mv where crawl_id = %s and is_spam = true )
where crawl_id = %s""" % (c.id, c.id))
transaction.commit()
log.info("dome processing %s", c)
except (KeyError, KeyboardInterrupt, HttpError), e:
log.error(e)
transaction.rollback()
pid.remove_pid()
exit()