def load(self,dataset,report_func=None):
"""Load dataset from cache file"""
options = self._options
if not dataset or not options.switch_cache or not exists(dataset):
return
# get profile from timeseries file if exists
profile = self._get_file_profile(dataset,options.profile)
_accounting['cache.load.profile'] = profile
d = options.cache_date
if not d:
d = datetime.today().isoformat()[:10]
c = self._make_cachedir()
f = self.filename(dataset)
_accounting['cache.load.file'] = f
# logger.debug('trying pickling results from %s',f)
result = None
if exists(f):
# logger.debug('pickle file %s exists',f)
result = DataSet()
p = pickle.load(open(f,'r'))
for k,v in p.items():
if k=="_MISSING":
result.add_missing(*v)
else:
if v[0]==0: # Timeseries
result[k]=Timeseries(data=v[1],metadata=v[2],name=k)
elif v[0]==1: # Numpy Array
result[k]=v[1]
_accounting['cache.load.missing'] = ','.join(result.missing)
_accounting['cache.load.series'] = ','.join(result.keys())
# Report
if report_func:
# logger.debug(dictview(_accounting))
report_func("load",f,result,self,_accounting)
_accounting.clear()
else:
# logger.debug('no pickle file %s',f)
if options.cache_date:
logger.error('Requested date (%s) does not exists',d)
sys.exit(-1)
return result
