def __init__(self, location=None):
super(CacheStore, self).__init__(location)
self.__cache = Cache(self.location, Configuration.NAME)
def connect(self):
if self.__cache is None:
self.__cache = Cache(self.location, Configuration.NAME)
class CacheStore(BasicStore):
"""
A simple cache store.
"""
def __init__(self, location=None):
super(CacheStore, self).__init__(location)
self.__cache = Cache(self.location, Configuration.NAME)
def connect(self):
if self.__cache is None:
self.__cache = Cache(self.location, Configuration.NAME)
def is_connected(self):
return self.__cache is not None
def disconnect(self):
if self.__cache is not None:
del self.__cache
self.__cache = None
def get(self, location, temporary=False):
obj = self.__cache.get(location, temporary)
if obj is not None:
entity = convert.collections_to_model(obj)
return entity
else:
return None
def get_file(self, location, temporary=False):
"""
Get raw file data (bytestring) from the cache.
:param location: The locations of all entities as path or URL.
:type location: str
:returns: The raw file data.
:rtype: str
"""
data = self.__cache.get_file(location, temporary)
return data
def get_array(self, location, temporary=False):
"""
Read array data from an hdf5 file in the cache.
:param location: The locations of all entities as path or URL.
:type location: str
:returns: The raw file data.
:rtype: numpy.ndarray|list
"""
ident = helper.id_from_location(location)
path = self.__cache.file_cache_path(ident, temporary)
if os.path.isfile(path):
data = hdfio.read_array_data(path)
return data
else:
return None
def set(self, entity, temporary=False):
if entity is not None:
obj = convert.model_to_collections(entity)
self.__cache.set(entity.location, obj, temporary)
return entity
def set_file(self, data, location=None, temporary=False):
"""
Save raw file data in the cache.
:param data: The raw data of the file.
:type data: str
:param location: The location of the file.
:type location: str
:returns: The url to the uploaded file.
:rtype: str
"""
if location is None:
location = "/api/v1/temp/datafile/" + helper.random_base32() + "/"
self.__cache.set_file(location, data, temporary)
return location
def set_array(self, array_data, location=None, temporary=False):
"""
Save array data in a cached HDF5 file.
:param array_data: The raw data to store.
:type array_data: numpy.ndarray|list
:param location: The location of the file.
:type location: str
:returns: The url to the uploaded file.
:rtype: str
"""
if location is None:
ident = helper.random_base32()
location = "/api/v1/temp/datafile/" + ident + "/"
else:
ident = helper.id_from_location(location)
path = self.__cache.file_cache_path(ident, temporary)
hdfio.store_array_data(path, array_data)
return location
def delete(self, entity_or_location, temporary=False):
if entity_or_location is not None:
if type(entity_or_location) == str:
self.__cache.delete(entity_or_location, temporary)
else:
self.__cache.delete(entity_or_location.location, temporary)
def delete_file(self, location, temporary=False):
self.__cache.delete_file(location, temporary)
def clear_cache(self, temporary=False):
self.__cache.clear(temporary)