1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
|
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import random
from rdflib.store import Store, NO_STORE, VALID_STORE
__all__ = ["Memory", "IOMemory"]
ANY = Any = None
class Memory(Store):
"""\
An in memory implementation of a triple store.
This triple store uses nested dictionaries to store triples. Each
triple is stored in two such indices as follows spo[s][p][o] = 1 and
pos[p][o][s] = 1.
Authors: Michel Pelletier, Daniel Krech, Stefan Niederhauser
"""
def __init__(self, configuration=None, identifier=None):
super(Memory, self).__init__(configuration)
self.identifier = identifier
# indexed by [subject][predicate][object]
self.__spo = {}
# indexed by [predicate][object][subject]
self.__pos = {}
# indexed by [predicate][object][subject]
self.__osp = {}
self.__namespace = {}
self.__prefix = {}
def add(self, triple, context, quoted=False):
"""\
Add a triple to the store of triples.
"""
# add dictionary entries for spo[s][p][p] = 1 and pos[p][o][s]
# = 1, creating the nested dictionaries where they do not yet
# exits.
subject, predicate, object = triple
spo = self.__spo
try:
po = spo[subject]
except:
po = spo[subject] = {}
try:
o = po[predicate]
except:
o = po[predicate] = {}
o[object] = 1
pos = self.__pos
try:
os = pos[predicate]
except:
os = pos[predicate] = {}
try:
s = os[object]
except:
s = os[object] = {}
s[subject] = 1
osp = self.__osp
try:
sp = osp[object]
except:
sp = osp[object] = {}
try:
p = sp[subject]
except:
p = sp[subject] = {}
p[predicate] = 1
def remove(self, triple_pattern, context=None):
for (subject, predicate, object), c in self.triples(triple_pattern):
del self.__spo[subject][predicate][object]
del self.__pos[predicate][object][subject]
del self.__osp[object][subject][predicate]
def triples(self, triple_pattern, context=None):
"""A generator over all the triples matching """
subject, predicate, object = triple_pattern
if subject != ANY: # subject is given
spo = self.__spo
if subject in spo:
subjectDictionary = spo[subject]
if predicate != ANY: # subject+predicate is given
if predicate in subjectDictionary:
if object != ANY: # subject+predicate+object is given
if object in subjectDictionary[predicate]:
yield (subject, predicate, object), self.__contexts()
else: # given object not found
pass
else: # subject+predicate is given, object unbound
for o in subjectDictionary[predicate].keys():
yield (subject, predicate, o), self.__contexts()
else: # given predicate not found
pass
else: # subject given, predicate unbound
for p in subjectDictionary.keys():
if object != ANY: # object is given
if object in subjectDictionary[p]:
yield (subject, p, object), self.__contexts()
else: # given object not found
pass
else: # object unbound
for o in subjectDictionary[p].keys():
yield (subject, p, o), self.__contexts()
else: # given subject not found
pass
elif predicate != ANY: # predicate is given, subject unbound
pos = self.__pos
if predicate in pos:
predicateDictionary = pos[predicate]
if object != ANY: # predicate+object is given, subject unbound
if object in predicateDictionary:
for s in predicateDictionary[object].keys():
yield (s, predicate, object), self.__contexts()
else: # given object not found
pass
else: # predicate is given, object+subject unbound
for o in predicateDictionary.keys():
for s in predicateDictionary[o].keys():
yield (s, predicate, o), self.__contexts()
elif object != ANY: # object is given, subject+predicate unbound
osp = self.__osp
if object in osp:
objectDictionary = osp[object]
for s in objectDictionary.keys():
for p in objectDictionary[s].keys():
yield (s, p, object), self.__contexts()
else: # subject+predicate+object unbound
spo = self.__spo
for s in spo.keys():
subjectDictionary = spo[s]
for p in subjectDictionary.keys():
for o in subjectDictionary[p].keys():
yield (s, p, o), self.__contexts()
def __len__(self, context=None):
# @@ optimize
i = 0
for triple in self.triples((None, None, None)):
i += 1
return i
def bind(self, prefix, namespace):
self.__prefix[namespace] = prefix
self.__namespace[prefix] = namespace
def namespace(self, prefix):
return self.__namespace.get(prefix, None)
def prefix(self, namespace):
return self.__prefix.get(namespace, None)
def namespaces(self):
for prefix, namespace in self.__namespace.items():
yield prefix, namespace
def __contexts(self):
return (c for c in []) # TODO: best way to return empty generator
class IOMemory(Store):
"""\
An integer-key-optimized context-aware in-memory store.
Uses three dict indices (for subjects, objects and predicates) holding
sets of triples. Context information is tracked in a separate dict, with
the triple as key and a dict of {context: quoted} items as value. The
context information is used to filter triple query results.
Memory usage is low due to several optimizations. RDF nodes are not
stored directly in the indices; instead, the indices hold integer keys
and the actual nodes are only stored once in int-to-object and
object-to-int mapping dictionaries. A default context is determined
based on the first triple that is added to the store, and no context
information is actually stored for subsequent other triples with the
same context information.
Most operations should be quite fast, but a triples() query with two
bound parts requires a set intersection operation, which may be slow in
some cases. When multiple contexts are used in the same store, filtering
based on context has to be done after each query, which may also be
slow.
"""
context_aware = True
formula_aware = True
graph_aware = True
# The following variable name conventions are used in this class:
#
# subject, predicate, object unencoded triple parts
# triple = (subject, predicate, object) unencoded triple
# context: unencoded context
#
# sid, pid, oid integer-encoded triple parts
# enctriple = (sid, pid, oid) integer-encoded triple
# cid integer-encoded context
def __init__(self, configuration=None, identifier=None):
super(IOMemory, self).__init__()
self.__namespace = {}
self.__prefix = {}
# Mappings for encoding RDF nodes using integer keys, to save memory
# in the indexes Note that None is always mapped to itself, to make
# it easy to test for it in either encoded or unencoded form.
self.__int2obj = {None: None} # maps integer keys to objects
self.__obj2int = {None: None} # maps objects to integer keys
# Indexes for each triple part, and a list of contexts for each triple
self.__subjectIndex = {} # key: sid val: set(enctriples)
self.__predicateIndex = {} # key: pid val: set(enctriples)
self.__objectIndex = {} # key: oid val: set(enctriples)
self.__tripleContexts = (
{}
) # key: enctriple val: {cid1: quoted, cid2: quoted ...}
self.__contextTriples = {None: set()} # key: cid val: set(enctriples)
# all contexts used in store (unencoded)
self.__all_contexts = set()
# default context information for triples
self.__defaultContexts = None
def bind(self, prefix, namespace):
self.__prefix[namespace] = prefix
self.__namespace[prefix] = namespace
def namespace(self, prefix):
return self.__namespace.get(prefix, None)
def prefix(self, namespace):
return self.__prefix.get(namespace, None)
def namespaces(self):
for prefix, namespace in self.__namespace.items():
yield prefix, namespace
def add(self, triple, context, quoted=False):
Store.add(self, triple, context, quoted)
if context is not None:
self.__all_contexts.add(context)
enctriple = self.__encodeTriple(triple)
sid, pid, oid = enctriple
self.__addTripleContext(enctriple, context, quoted)
if sid in self.__subjectIndex:
self.__subjectIndex[sid].add(enctriple)
else:
self.__subjectIndex[sid] = set([enctriple])
if pid in self.__predicateIndex:
self.__predicateIndex[pid].add(enctriple)
else:
self.__predicateIndex[pid] = set([enctriple])
if oid in self.__objectIndex:
self.__objectIndex[oid].add(enctriple)
else:
self.__objectIndex[oid] = set([enctriple])
def remove(self, triplepat, context=None):
req_cid = self.__obj2id(context)
for triple, contexts in self.triples(triplepat, context):
enctriple = self.__encodeTriple(triple)
for cid in self.__getTripleContexts(enctriple):
if context is not None and req_cid != cid:
continue
self.__removeTripleContext(enctriple, cid)
ctxs = self.__getTripleContexts(enctriple, skipQuoted=True)
if None in ctxs and (context is None or len(ctxs) == 1):
self.__removeTripleContext(enctriple, None)
if len(self.__getTripleContexts(enctriple)) == 0:
# triple has been removed from all contexts
sid, pid, oid = enctriple
self.__subjectIndex[sid].remove(enctriple)
self.__predicateIndex[pid].remove(enctriple)
self.__objectIndex[oid].remove(enctriple)
del self.__tripleContexts[enctriple]
if (
not req_cid is None
and req_cid in self.__contextTriples
and len(self.__contextTriples[req_cid]) == 0
):
# all triples are removed out of this context
# and it's not the default context so delete it
del self.__contextTriples[req_cid]
if (
triplepat == (None, None, None)
and context in self.__all_contexts
and not self.graph_aware
):
# remove the whole context
self.__all_contexts.remove(context)
def triples(self, triplein, context=None):
if context is not None:
if context == self: # hmm...does this really ever happen?
context = None
cid = self.__obj2id(context)
enctriple = self.__encodeTriple(triplein)
sid, pid, oid = enctriple
# all triples case (no triple parts given as pattern)
if sid is None and pid is None and oid is None:
return self.__all_triples(cid)
# optimize "triple in graph" case (all parts given)
if sid is not None and pid is not None and oid is not None:
if (
sid in self.__subjectIndex
and enctriple in self.__subjectIndex[sid]
and self.__tripleHasContext(enctriple, cid)
):
return ((triplein, self.__contexts(enctriple)) for i in [0])
else:
return self.__emptygen()
# remaining cases: one or two out of three given
sets = []
if sid is not None:
if sid in self.__subjectIndex:
sets.append(self.__subjectIndex[sid])
else:
return self.__emptygen()
if pid is not None:
if pid in self.__predicateIndex:
sets.append(self.__predicateIndex[pid])
else:
return self.__emptygen()
if oid is not None:
if oid in self.__objectIndex:
sets.append(self.__objectIndex[oid])
else:
return self.__emptygen()
# to get the result, do an intersection of the sets (if necessary)
if len(sets) > 1:
enctriples = sets[0].intersection(*sets[1:])
else:
enctriples = sets[0].copy()
return (
(self.__decodeTriple(enctriple), self.__contexts(enctriple))
for enctriple in enctriples
if self.__tripleHasContext(enctriple, cid)
)
def contexts(self, triple=None):
if triple is None or triple == (None, None, None):
return (context for context in self.__all_contexts)
enctriple = self.__encodeTriple(triple)
sid, pid, oid = enctriple
if sid in self.__subjectIndex and enctriple in self.__subjectIndex[sid]:
return self.__contexts(enctriple)
else:
return self.__emptygen()
def __len__(self, context=None):
cid = self.__obj2id(context)
if cid not in self.__contextTriples:
return 0
return len(self.__contextTriples[cid])
def add_graph(self, graph):
if not self.graph_aware:
Store.add_graph(self, graph)
else:
self.__all_contexts.add(graph)
def remove_graph(self, graph):
if not self.graph_aware:
Store.remove_graph(self, graph)
else:
self.remove((None, None, None), graph)
try:
self.__all_contexts.remove(graph)
except KeyError:
pass # we didn't know this graph, no problem
# internal utility methods below
def __addTripleContext(self, enctriple, context, quoted):
"""add the given context to the set of contexts for the triple"""
cid = self.__obj2id(context)
sid, pid, oid = enctriple
if sid in self.__subjectIndex and enctriple in self.__subjectIndex[sid]:
# we know the triple exists somewhere in the store
if enctriple not in self.__tripleContexts:
# triple exists with default ctx info
# start with a copy of the default ctx info
self.__tripleContexts[enctriple] = self.__defaultContexts.copy()
self.__tripleContexts[enctriple][cid] = quoted
if not quoted:
self.__tripleContexts[enctriple][None] = quoted
else:
# the triple didn't exist before in the store
if quoted: # this context only
self.__tripleContexts[enctriple] = {cid: quoted}
else: # default context as well
self.__tripleContexts[enctriple] = {cid: quoted, None: quoted}
# if the triple is not quoted add it to the default context
if not quoted:
self.__contextTriples[None].add(enctriple)
# always add the triple to given context, making sure it's initialized
if cid not in self.__contextTriples:
self.__contextTriples[cid] = set()
self.__contextTriples[cid].add(enctriple)
# if this is the first ever triple in the store, set default ctx info
if self.__defaultContexts is None:
self.__defaultContexts = self.__tripleContexts[enctriple]
# if the context info is the same as default, no need to store it
if self.__tripleContexts[enctriple] == self.__defaultContexts:
del self.__tripleContexts[enctriple]
def __getTripleContexts(self, enctriple, skipQuoted=False):
"""return a list of (encoded) contexts for the triple, skipping
quoted contexts if skipQuoted==True"""
ctxs = self.__tripleContexts.get(enctriple, self.__defaultContexts)
if not skipQuoted:
return ctxs.keys()
return [cid for cid, quoted in ctxs.items() if not quoted]
def __tripleHasContext(self, enctriple, cid):
"""return True iff the triple exists in the given context"""
ctxs = self.__tripleContexts.get(enctriple, self.__defaultContexts)
return cid in ctxs
def __removeTripleContext(self, enctriple, cid):
"""remove the context from the triple"""
ctxs = self.__tripleContexts.get(enctriple, self.__defaultContexts).copy()
del ctxs[cid]
if ctxs == self.__defaultContexts:
del self.__tripleContexts[enctriple]
else:
self.__tripleContexts[enctriple] = ctxs
self.__contextTriples[cid].remove(enctriple)
def __obj2id(self, obj):
"""encode object, storing it in the encoding map if necessary,
and return the integer key"""
if obj not in self.__obj2int:
id = randid()
while id in self.__int2obj:
id = randid()
self.__obj2int[obj] = id
self.__int2obj[id] = obj
return id
return self.__obj2int[obj]
def __encodeTriple(self, triple):
"""encode a whole triple, returning the encoded triple"""
return tuple(map(self.__obj2id, triple))
def __decodeTriple(self, enctriple):
"""decode a whole encoded triple, returning the original
triple"""
return tuple(map(self.__int2obj.get, enctriple))
def __all_triples(self, cid):
"""return a generator which yields all the triples (unencoded)
of the given context"""
if cid not in self.__contextTriples:
return
for enctriple in self.__contextTriples[cid].copy():
yield self.__decodeTriple(enctriple), self.__contexts(enctriple)
def __contexts(self, enctriple):
"""return a generator for all the non-quoted contexts
(unencoded) the encoded triple appears in"""
return (
self.__int2obj.get(cid)
for cid in self.__getTripleContexts(enctriple, skipQuoted=True)
if cid is not None
)
def __emptygen(self):
"""return an empty generator"""
if False:
yield
def randid(randint=random.randint, choice=random.choice, signs=(-1, 1)):
return choice(signs) * randint(1, 2000000000)
del random
|