def __update_fragment_cache(fid, gp):
"""
Recreate fragment <fid> cached data and all its data-contexts from the corresponding stream (Redis)
:param fid:
:return:
"""
fragments_cache.remove_context(fragments_cache.get_context('/' + fid))
gp_graph = graph_from_gp(gp)
roots = filter(lambda x: gp_graph.in_degree(x) == 0, gp_graph.nodes())
fragment_triples = load_stream_triples(fid, calendar.timegm(dt.utcnow().timetuple()))
visited_contexts = set([])
for c, s, p, o in fragment_triples:
if c not in visited_contexts:
fragments_cache.remove_context(fragments_cache.get_context(str((fid, c))))
visited_contexts.add(c)
fragments_cache.get_context(str((fid, c))).add((s, p, o))
fragments_cache.get_context('/' + fid).add((s, p, o))
if c[0] in roots:
fragments_cache.get_context('/' + fid).add((s, RDF.type, STOA.Root))
visited_contexts.clear()
with r.pipeline() as pipe:
pipe.delete('{}:{}:stream'.format(fragments_key, fid))
pipe.execute()
def __load_contexts():
contexts = fragment_contexts(self.sink.fragment_id)
triple_patterns = {context: eval(context)[1] for context in contexts}
# Yield triples for each known triple pattern context
for context in contexts:
for (s, p, o) in fragments_cache.get_context(context):
yield triple_patterns[context], s, p, o
def __cache_plan_context(fid, graph):
"""
Use <graph> to extract the triple patterns of the current fragment <fid> and replace them as the expected context
(triple patterns context) in the cache graph
"""
try:
fid_context = fragments_cache.get_context(fid)
fragments_cache.remove_context(fid_context)
tps = graph.subjects(RDF.type, AGORA.TriplePattern)
for tp in tps:
for (s, p, o) in graph.triples((tp, None, None)):
fid_context.add((s, p, o))
for t in graph.triples((o, None, None)):
fid_context.add(t)
except Exception, e:
log.error(e.message)
def __update_fragment_cache(fid, gp):
"""
Recreate fragment <fid> cached data and all its data-contexts from the corresponding stream (Redis)
:param fid:
:return:
"""
plan_tps = fragments_cache.get_context(fid).subjects(RDF.type, AGORA.TriplePattern)
fragments_cache.remove_context(fragments_cache.get_context('/' + fid))
for tp in plan_tps:
fragments_cache.remove_context(
fragments_cache.get_context(str((fid, __extract_tp_from_plan(fragments_cache, tp)))))
gp_graph = graph_from_gp(gp)
roots = filter(lambda x: gp_graph.in_degree(x) == 0, gp_graph.nodes())
fragment_triples = load_stream_triples(fid, calendar.timegm(dt.now().timetuple()))
for c, s, p, o in fragment_triples:
fragments_cache.get_context(str((fid, c))).add((s, p, o))
fragments_cache.get_context('/' + fid).add((s, p, o))
if c[0] in roots:
fragments_cache.get_context('/' + fid).add((s, RDF.type, STOA.Root))
with r.pipeline() as pipe:
pipe.delete('{}:{}:stream'.format(fragments_key, fid))
pipe.execute()
def fragment_graph(fid):
return fragments_cache.get_context('/' + fid)
