def generate_annotation_id(self, collection_uri):
collection_id = self._get_id(collection_uri)
prefix = collection_uri + "/annotation/"
if API.last_generated_ann_id is None:
query = prepareQuery('select ?annotation where {?annotation a ?type}')
annotations = []
g = Store()
g.attach_directory(os.path.join(self.basedir, collection_id))
results = g.graph.query(query, initBindings={'type': DADA.Annotation})
for result in results.bindings:
annotations.append(int(result["annotation"].toPython().replace(prefix, "")))
API.last_generated_ann_id = max(annotations)
API.last_generated_ann_id += 1
return prefix + str(API.last_generated_ann_id)
def search_sparql(self, collection_uri, query):
collection_id = self._get_id(collection_uri)
output = {"head":{"vars":[]}, "results":{"bindings":[]}}
subgraph = Store()
subgraph.attach_directory(os.path.join(self.basedir, collection_id))
subgraph.graph.parse(os.path.join(self.basedir, collection_id+".n3"), format='n3')
result = subgraph.graph.query(query)
for var in result.vars:
output["head"]["vars"].append(str(var))
for binding in result.bindings:
temp = {}
for var in output["head"]["vars"]:
temp[var] = {"type":type(binding[var]).__name__, "value":binding[var].toPython()}
output["results"]["bindings"].append(temp)
return output
