class Plugin (plugin.TransformPlugin):
"""Rewrite to perform imports
"""
id=__name__
options = [ ]
def __init__(self, **kwargs):
pass
def transform(self, instance):
self.ast = NodeFactory()
self.ast.nsmap.bind("", "http://www.w3.org/2007/rif#")
self.graph = ConjunctiveGraph()
self.profiles = set()
self.bmap = {}
doc = self.ast.deepcopy(instance)
did_import = False
for d in doc.directive.values:
if d.has_type("Import"):
print "IMPORT"
print " location: ", d.location.the.as_string
print " profile: ", d.profile.the.as_string
try:
self.graph.parse(d.location.the.as_string, format="n3")
except Exception, e:
raise RDFLibParseError(e)
self.profiles.add(d.profile.the.as_string)
did_import = True
if not did_import:
return instance
print " imported %d triples" % len(self.graph)
# assume zero or one payloads
try:
topgroup = doc.payload.the
except:
topgroup = self.ast.Instance("Group")
doc.payload = topgroup
# add more 'sentence' properties to topgroup
for s, p, o in self.graph:
for ss in self.rif_terms(s):
for pp in self.rif_terms(p):
for oo in self.rif_terms(o):
f = self.ast.Instance("Frame")
f.object=ss
f.slot = self.ast.Sequence( [pp, oo] )
topgroup._addpv("sentence", f)
#for profile in profiles:
# ...
return doc
def transform(self, instance):
self.ast = NodeFactory()
self.ast.nsmap.bind("", "http://www.w3.org/2007/rif#")
self.graph = ConjunctiveGraph()
self.profiles = set()
self.bmap = {}
doc = self.ast.deepcopy(instance)
did_import = False
for d in doc.directive.values:
if d.has_type("Import"):
print "IMPORT"
print " location: ", d.location.the.as_string
print " profile: ", d.profile.the.as_string
try:
self.graph.parse(d.location.the.as_string, format="n3")
except Exception, e:
raise RDFLibParseError(e)
self.profiles.add(d.profile.the.as_string)
did_import = True
