from htsworkflow.util.rdfhelp import SCHEMAS_URL
INFER_URL='http://jumpgate.caltech.edu/phony/infer'
+LOGGER = logging.getLogger(__name__)
class Infer(object):
"""Provide some simple inference.
for method_name in dir(self):
if method_name.startswith('_rule_'):
+ LOGGER.info("Running: %s", method_name)
method = getattr(self, method_name)
method()
if self.model.size() == starting_size:
"""
for method_name in dir(self):
if method_name.startswith('_validate_'):
+ LOGGER.info("Running: %s", method_name)
method = getattr(self, method_name)
for msg in method():
yield msg
query = RDF.SPARQLQuery(body)
errmsg = "Missing type for: {0}"
for r in query.execute(self.model):
- yield errmsg.format(str(r['subject'].uri))
+ yield errmsg.format(str(r['subject']))
def _validate_undefined_properties(self):
"""Find properties that aren't defined.
e.g. is a subject (node) the domain (space) of this property
and is the object (node) the range of of this property.
"""
+ resource_error = "Expected resource for {0} in range {1}"
+ type_error = "Type of {0} was {1} not {2}"
# check domain
query = RDF.SPARQLQuery(property_template.format(
predicate=predicate.uri,
space=space))
- seen = []
+ seen = set()
for r in query.execute(self.model):
+ # Make sure we have a resource if we're expecting one
if r['type'] == rdfsNS['Resource']:
+ if not node.is_resource():
+ return resource_error.format(str(node), space)
continue
- seen.append(str(r['type'].uri))
+ seen.add(str(r['type'].uri))
+ if node.is_literal():
+ # literal is a generic type.
+ nodetype = node.literal_value['datatype']
+ if nodetype is None:
+ # lets default to string
+ nodetype = xsdNS['string'].uri
+ if r['type'] == rdfsNS['Literal']:
+ pass
+ elif nodetype != r['type'].uri:
+ return type_error.format(
+ str(node), nodetype, r['type'])
+ # check that node is the expetected class type
check = RDF.Statement(node, rdfNS['type'], r['type'])
if self.model.contains_statement(check):
return
wrong_range_type.format(str(s)))
if msg is not None: yield msg
return
-
-