Open moissinac opened 5 years ago
thanks for reporting this issue. By default there is no support for fuseki endpoints. Can you check https://github.com/ali1k/ld-r/blob/master/services/utils/helpers.js#L156 and see if fuseki API is similar to any of the existing APIs? If not, the best would be to make a PR that adds fuseki API.
Expected Behavior
After installation and configuration, being capable to add a dataset
Actual Behavior
Adding a dataset by naming it and giving an access point always gives the message "There was no resource in the selected dataset! This might be due to the connection problems or because the estimated query execution time exceeds the configured limit. Please check the connection parameters of your dataset's Sparql endpoint or add resources to your dataset..." in the interface and the message Error in sample facet config creation update query: PREFIX ldr: https://github.com/ali1k/ld-reactor/blob/master/vocabulary/index.ttl# PREFIX rdf: http://www.w3.org/1999/02/22-rdf-syntax-ns# PREFIX rdfs: http://www.w3.org/2000/01/rdf-schema# PREFIX owl: http://www.w3.org/2002/07/owl#
Please also check if the configuration SPARQL endpoint is running and is updateable ... in the console
Steps to Reproduce the Problem
Install ld-reactor, run it by typing npm run build:windows
Specifications
Hypothesis
My configuration gives host: 'localhost', port: 3030, path: '/ldreactor/sparql', endpointType: 'fuseki' in server.js By lsreactor seems to try to update this default dataset and with fuseki, the update point is /ldreactor/update while the query point is either /ldreactor/query or /ldreactor/sparql So, it seems impossible to specify a different endpoint for query and for update.