def __init__(self, *args, **kwargs):
super(NIDMServer, self).__init__(*args, **kwargs)
# update queries on start of application
self.query_dir = get_query_directory()
self.query_json = validate_queries(self.query_dir)
self.query_dict = make_lookup(self.query_json,key_field="uid")
def __init__(self, *args, **kwargs):
super(NIDMServer, self).__init__(*args, **kwargs)
# update queries on start of application
self.query_dir = get_query_directory()
self.query_json = validate_queries(self.query_dir)
self.query_dict = make_lookup(self.query_json, key_field="uid")
#!/usr/bin/python from nidm.query import get_query_directory, validate_queries, make_lookup, do_query # Get updated queries, validate, and generate a lookup dict: query_dir = get_query_directory() query_json = validate_queries(query_dir) query_dict = make_lookup(query_json,key_field="uid") # Let's use the query to get coordinates qid = "7950f524-90e8-4d54-ad6d-7b22af2e895d" # Here is a ttl file that I want to query, nidm-results ttl_file = "nidm.ttl" result = do_query(ttl_file=ttl_file,query=query_dict[qid]["sparql"]) # The result is a pandas data frame. I can turn it into other things too result = result.to_dict(orient="records")