def checkcache(itemname,
filename='importvars/asn.cache',
incachedir='importvars/mycache'):
''' checks cached asns; else, does a new query and stores result in cache'''
retval = '?'
cachedir = df.rightdir(df.getdir(__file__) + incachedir)
if len(itemname) >= 7 and '.' in itemname:
tmpfname = cachedir + itemname.split('.')[0] + '.cache'
data = defaultdict(str, df.pjsonin(tmpfname))
tmpval = data[itemname]
if df.isint(tmpval) or tmpval == 'NA':
retval = tmpval
elif tmpval == str():
asn = None
try:
asn = af.asn_lookup(itemname)
except:
pass
if asn is None:
data[itemname] = '?'
else:
data[itemname] = asn
retval = asn
df.pjsonout(tmpfname, dict(data), 'w')
return retval
##################################################################
import logging
import logging.config
logging.config.fileConfig('logging.conf', disable_existing_loggers=False)
# create logger
logger = logging.getLogger(__name__)
logger.debug(__name__ + "logger loaded")
##################################################################
# GLOBAL AND SETUP
##################################################################
# paths
basedir = df.getdir(__file__) + '../'
statedir = df.rightdir(basedir + 'state/')
rawdirlist = df.getlines(basedir + 'state/datapaths.list')
datafiles = df.listfiles(basedir + rawdirlist[0], fullpath=True)
plotsdir = df.rightdir(basedir + "plots/")
##################################################################
# CODE
##################################################################
def get_ansset_sizes(start_time, fname="", **kwas):
'''
:param start_time: int indicating the earliest query the window should include
:param **kwas: keyword arguments for vv.get_svl()
:return: (m) matrix of client pairs vs domains,