def get_prefix_defs (prefixes):
'''Returns the prefix definition part of a SPARQL query bases on a list of prefixes'''
out = ""
# Build the prefixes string from the NS map
for pref in prefixes:
ns = [str(NS[p]) for p in NS.keys() if p == pref]
if len(ns) == 1:
out += "PREFIX %s:<%s>\n" % (pref, ns[0])
return out
def get_prefix_defs(prefixes):
'''Returns the prefix definition part of a SPARQL query bases on a list of prefixes'''
out = ""
# Build the prefixes string from the NS map
for pref in prefixes:
ns = [str(NS[p]) for p in NS.keys() if p == pref]
if len(ns) == 1:
out += "PREFIX %s:<%s>\n" % (pref, ns[0])
return out
def normalize (uri, prefixes = None):
'''Converts a URI into a 'namespace:term' string or <uri> entity
and (optionally) appends the namespace to the prefixes list'''
# Split the uri into namespace and term
namespace, term = split_uri(uri)
# Resolve the namespace prefix
prefs = [p for p in NS.keys() if str(NS[p]) == namespace]
if len(prefs) == 1:
namespace = prefs[0]
else:
namespace = None
# Optionally append the namespace to the prefixes list
if (prefixes and namespace) and (namespace not in prefixes):
prefixes.append(namespace)
# Return the 'namespace:term' string or the <url> (if no prefix matches)
return namespace_manager.normalizeUri(unicode(uri))
def normalize(uri, prefixes=None):
'''Converts a URI into a 'namespace:term' string or <uri> entity
and (optionally) appends the namespace to the prefixes list'''
# Split the uri into namespace and term
namespace, term = split_uri(uri)
# Resolve the namespace prefix
prefs = [p for p in NS.keys() if str(NS[p]) == namespace]
if len(prefs) == 1:
namespace = prefs[0]
else:
namespace = None
# Optionally append the namespace to the prefixes list
if (prefixes and namespace) and (namespace not in prefixes):
prefixes.append(namespace)
# Return the 'namespace:term' string or the <url> (if no prefix matches)
return namespace_manager.normalizeUri(unicode(uri))
'''Returns a list of test sparql queries for the given model'''
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(APP_PATH + '/data/smart.owl').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)
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(APP_PATH + '/data/smart.owl').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:
