def serialize_graph(g, format=TURTLE, frame=None, skolem=True):
if skolem:
cg = skolemize(g)
else:
cg = ConjunctiveGraph()
cg.__iadd__(g)
context = build_graph_context(g)
if format == TURTLE:
for prefix, uri in g.namespaces():
if prefix in context:
cg.bind(prefix, uri)
return cg.serialize(format='turtle')
ted_nquads = cg.serialize(format='nquads')
ld = jsonld.from_rdf(ted_nquads)
if frame is not None:
ld = jsonld.frame(ld, {'context': context, '@type': str(frame)})
ld = jsonld.compact(ld, context)
return json.dumps(ld, indent=3, sort_keys=True)
def _ted_as_json_ld(sg):
g = ConjunctiveGraph()
g.__iadd__(sg)
for res in g.query("""SELECT ?p ?name WHERE { ?p a <%s> ; <%s> ?name}""" %
(WOT.Property, WOT.interactionName)):
g.remove((res.p, WOT.interactionName, res.name))
g.add((res.p, WOT.propertyName, res.name))
for res in g.query("""SELECT ?p ?name WHERE { ?p a <%s> ; <%s> ?name}""" %
(WOT.Action, WOT.interactionName)):
g.remove((res.p, WOT.interactionName, res.name))
g.add((res.p, WOT.actionName, res.name))
for res in g.query("""SELECT ?p ?name WHERE { ?p a <%s> ; <%s> ?name}""" %
(WOT.Event, WOT.interactionName)):
g.remove((res.p, WOT.interactionName, res.name))
g.add((res.p, WOT.eventName, res.name))
context = build_context(g)
if 'pid' in context:
context['pid'] = str(WOT.interactionName)
if 'aid' in context:
context['aid'] = str(WOT.interactionName)
if 'eid' in context:
context['eid'] = str(WOT.interactionName)
cg = skolemize(g)
ted_nquads = cg.serialize(format='nquads')
ld = jsonld.from_rdf(ted_nquads)
td_frame = jsonld.compact(
jsonld.frame(ld, {
'context': context,
'@type': str(CORE.ThingDescription)
}), context)
td_context = td_frame['@context']
del td_frame['@context']
ted_frame = jsonld.compact(
jsonld.frame(ld, {
'context': context,
'@type': str(CORE.ThingEcosystemDescription)
}), context)
ted_context = ted_frame['@context']
del ted_frame['@context']
component_ids = []
ted_components = ted_frame.get('describes', {}).get('components', [])
if isinstance(ted_components, dict) or isinstance(ted_components, str):
ted_components = [ted_components]
for component in ted_components:
# if it does not contain 'describedBy' it is a resource
cid = component['@id'] if isinstance(
component, dict) and 'describedBy' in component else component
component_ids.append(cid)
if component_ids:
ted_frame['describes']['components'] = component_ids
if '@graph' not in td_frame:
source_td_frame = copy.deepcopy(td_frame)
td_frame = {'@graph': []}
if source_td_frame:
td_frame['@graph'].append(source_td_frame)
td_frame['@graph'].append(ted_frame)
td_frame['@context'] = merge_two_dicts(td_context, ted_context)
try:
for pdata in path_data("$..interactions", td_frame['@graph']):
if isinstance(pdata, list):
for int_dict in pdata:
replace_interaction_name(int_dict)
else:
replace_interaction_name(pdata)
except TypeError:
pass
return json.dumps(td_frame, indent=3, sort_keys=True)
