def get(self, qid, output_format):
ttl = request.args.get('ttl')
try:
result = do_query(ttl_file=ttl,
query=app.query_dict[qid]["sparql"])
result = result.to_dict(orient="records")
return {"uid": qid,
"result": result}
except:
return {"message": "invalid input for query type.",
qid: app.query_dict[qid]}
def get(self, qid, output_format):
ttl = request.args.get('ttl')
try:
result = do_query(ttl_file=ttl,
query=app.query_dict[qid]["sparql"])
result = result.to_dict(orient="records")
return {"uid": qid, "result": result}
except:
return {
"message": "invalid input for query type.",
qid: app.query_dict[qid]
}
#!/usr/bin/python from nidm.query import Queries, do_query alltypes = Queries() len(alltypes.queries) #7 res = Queries(components="results") len(res.queries) #6 # What am I looking at? # res.queries holds all queries as a list in json, for iterating over # res.query_dict is a query lookup based on a unique id # res.store is the (temp) location of your query files # Select a query from results that we like 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=res.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")
#!/usr/bin/python from nidm.query import Queries, do_query alltypes = Queries() len(alltypes.queries) #7 res = Queries(components="results") len(res.queries) #6 # What am I looking at? # res.queries holds all queries as a list in json, for iterating over # res.query_dict is a query lookup based on a unique id # res.store is the (temp) location of your query files # Select a query from results that we like 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=res.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")