def load_quantile(self, datestring):
"""
retuns quantile for this specific tsa, either load cache version,
or recreate from tsa
parameters:
datestring <str>
returns:
<QuantileArray>
"""
cachedir = self.__get_cachedir(datestring)
cachefilename = os.path.join(cachedir, "quantile.json")
quantile_array = None
if os.path.isfile(cachefilename):
quantile_array = QuantileArray.load(open(cachefilename, "rb"))
else:
logging.info("cachefile %s does not exist, fallback read from tsa archive", cachefilename)
tsa = self.load_tsa(datestring)
tsa.cache = True # to enable in memory caching of timeseries
# huge performance improvement, from 500s to 70s
tsastats = self.load_tsastats(datestring)
quantile_array = QuantileArray(tsa, tsastats)
quantile_array.dump(open(cachefilename, "wb"))
return quantile_array
