def testSequenceAddAndRetrieveAndRemove(self):
st = NDBStore(identifier = 'banana')
for index in range(len(_TRIPLES)):
st.add(_TRIPLES[index], None)
self.assertEquals(1, len(st))
self._assertSameSet(_TRIPLES[index:index+1], st.triples((None, None, None), None))
st.remove(_TRIPLES[index], None)
self.assertEquals(0, len(st))
self._assertSameSet([], st.triples((None, None, None), None))
def connect(identifier):
'''Encapsulates common configuration for Graphs stored in NDB
@param identifier : ID of the stored Graph to access, example: "default"
@return: An NDBStore for accessing the given Graph
'''
if identifier not in ['metrics', 'default', 'newdata']:
logging.warn('Unexpected graph identifier: {}'.format(identifier))
if identifier not in ['default', 'newdata']:
return NDBStore(identifier=identifier,
configuration=_STANDARD_CONFIGURATION)
if _max_timestamp(_B) > _max_timestamp(_A):
default = _B
newdata = _A
else:
default = _A
newdata = _B
if identifier == 'default':
return default
assert identifier == 'newdata'
return newdata
def testDestroy(self):
st = NDBStore(identifier = 'banana')
st.addN([(s, p, o, None) for (s, p, o) in _TRIPLES])
st.destroy(None)
self._assertSameSet(set(), st.triples((None, None, None), None))
def testTriples(self):
st = NDBStore(identifier = 'banana')
st.addN([(s, p, o, None) for (s, p, o) in _TRIPLES])
patterns = itertools.product(*zip(_TRIPLES[0], _TRIPLES[-1], [None, None, None]))
for pattern in patterns:
self._assertSameMatches(st, pattern)
def testAddN(self):
st = NDBStore(identifier = 'banana')
st.addN([(s, p, o, None) for (s, p, o) in _TRIPLES])
self.assertEquals(len(_TRIPLES), len(st))
self._assertSameSet(_TRIPLES, st.triples((None, None, None), None))
def testSingleAddAndRetrieve(self):
st = NDBStore(identifier = 'banana')
st.add(_TRIPLES[0], None)
self.assertEquals(1, len(st))
self._assertSameSet(_TRIPLES[0:1], st.triples((None, None, None), None))
@author: Niels Christensen
'''
from rdflib_appengine.ndbstore import NDBStore
from rdflib import Graph
from dotruralsepake.rdf.ontology import SEPAKE, SEPAKEMETRICS
import logging
from datetime import datetime
_STANDARD_CONFIGURATION = {
'no_of_shards_per_predicate_dict': {
SEPAKE.htmlDescription: 16,
SEPAKEMETRICS.focushit: 16
},
}
_A = NDBStore(identifier='A', configuration=_STANDARD_CONFIGURATION)
_B = NDBStore(identifier='B', configuration=_STANDARD_CONFIGURATION)
def connect(identifier):
'''Encapsulates common configuration for Graphs stored in NDB
@param identifier : ID of the stored Graph to access, example: "default"
@return: An NDBStore for accessing the given Graph
'''
if identifier not in ['metrics', 'default', 'newdata']:
logging.warn('Unexpected graph identifier: {}'.format(identifier))
if identifier not in ['default', 'newdata']:
return NDBStore(identifier=identifier,
configuration=_STANDARD_CONFIGURATION)
if _max_timestamp(_B) > _max_timestamp(_A):
default = _B
