A utility package that allows you to convert SPARQL JSON results to a tree-based structure.
This is done by splitting variable names by a certain delimiter value (such as _) and using these as paths inside a tree structure.
For example, it can convert the following SPARQL JSON results as follows:
Input:
{
"results": {
"bindings": [
{ "books_name": { "type": "literal", "value": "Book 1" }, "books_author_name": { "type": "literal", "value": "Person 1" } },
{ "books_name": { "type": "literal", "value": "Book 2" }, "books_author_name": { "type": "literal", "value": "Person 2" } },
{ "books_name": { "type": "literal", "value": "Book 3" }, "books_author_name": { "type": "literal", "value": "Person 3" } },
{ "books_name": { "type": "literal", "value": "Book 4" }, "books_author_name": { "type": "literal", "value": "Person 4" } },
{ "books_name": { "type": "literal", "value": "Book 5" }, "books_author_name": { "type": "literal", "value": "Person 5" } }
]
}
}Output:
{
"books": [
{ "name": "Book 1", "author": { "name": "Person 1" } },
{ "name": "Book 2", "author": { "name": "Person 2" } },
{ "name": "Book 3", "author": { "name": "Person 3" } },
{ "name": "Book 4", "author": { "name": "Person 4" } },
{ "name": "Book 5", "author": { "name": "Person 5" } },
]
}import {Converter} from "sparqljson-to-tree";
const converter = new Converter();Optionally, you can provide a settings object to the constructor with optional parameters:
const converter = new Converter({
delimiter: '_', // The string to split variable names by. (Default: '_')
materializeRdfJsTerms: true, // If terms should be converted to their raw value instead of being represented as RDFJS terms (Default: false)
});In order to convert a SPARQL JSON response, we also need to provide a schema that tells which variables need to be seen as singular and which ones as plural.
We do this using the singularizeVariables entry in the schema object.
For each variable (and delimited variable part), we can provide entries indicating if the part should be marked as singular.
If a variable part is not defined, it will be marked as plurar by default,
which is consistent with the open-world-assumption of RDF.
Note: If a variable part is marked as singlular, but multiple bindings apply, then only the first binding will be used.
const sparqlResponse = { results: { bindings: [
{ books_name: { type: 'literal', value: 'Book 1' } },
{ books_name: { type: 'literal', value: 'Book 2' } },
{ books_name: { type: 'literal', value: 'Book 3' } },
{ books_name: { type: 'literal', value: 'Book 4' } },
{ books_name: { type: 'literal', value: 'Book 5' } },
] } };
const schema = { singularizeVariables: {
'': true, // So we have an object as root instead of an array
books: false,
books_name: true,
} };
converter.sparqlJsonResultsToTree(sparqlResponse, schema);Output:
{
"books": [
{ "name": "Book 1" },
{ "name": "Book 2" },
{ "name": "Book 3" },
{ "name": "Book 4" },
{ "name": "Book 5" }
]
}This software is written by Ruben Taelman.
This code is released under the MIT license.
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