def get_model(call):
'''Returns the name of the target SMART data model
corresponding to the SMART python client convenience method
Expects a valid SMART python client convenience method name
'''
# We may have to load the ontology if it is not available yet
if not rdf_ontology.api_types:
rdf_ontology.parse_ontology(open(ONTOLOGY).read())
# Look through the api calls array until a call with matching convenience method name is found
for c in rdf_ontology.api_calls:
if call == c.client_method_name:
return c.target.replace("http://smartplatforms.org/terms#", "")
def get_model(call):
'''Returns the name of the target SMART data model
corresponding to the SMART python client convenience method
Expects a valid SMART python client convenience method name
'''
# We may have to load the ontology if it is not available yet
if not rdf_ontology.api_types:
rdf_ontology.parse_ontology(open(ONTOLOGY).read())
# Look through the api calls array until a call with matching convenience method name is found
for c in rdf_ontology.api_calls:
if call == c.client_method_name:
return c.target.replace("http://smartplatforms.org/terms#","")
queries = []
generate_queries (data, queries, str(NS['sp'][model]))
return queries
# Query builder state variables
main_types = []
data = {}
loaded = False
# Initialize the namespace manager object
namespace_manager = NamespaceManager(Graph())
# Import the namespaces into the namespace manager
for ns in NS.keys():
namespace_manager.bind(ns, NS[ns], override=False)
# Parse the ontology when necessary
if not rdf_ontology.api_types:
rdf_ontology.parse_ontology(open(ONTOLOGY_PATH).read())
# Build a list of data types that need to be added to the data definitions
for t in rdf_ontology.api_types:
if t.is_statement or len(t.calls) > 0 or rdf_ontology.sp.Component in [x.uri for x in t.parents]:
main_types.append(t)
# Build the data definitions object with each data type
for t in main_types:
generate_data_for_type(t, data)
