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import { AsyncIterator } from 'asynciterator';
import { Uri } from '@faubulous/mentor-rdf';
import { rdfDataFactory } from '@src/utilities/rdf';
import { RdfSyntax, SparqlVariableParser } from '@faubulous/mentor-rdf-parsers';
import { ParserFactory } from '@src/languages/parser-factory';
import { SerializationOptions, termToString, TurtleSerializer } from '@faubulous/mentor-rdf-serializers';
import { Bindings, Quad, Term } from "@rdfjs/types";
import { IPrefixLookupService } from '@src/services/document';
import { BindingsResult, SparqlQueryExecutionState } from "./sparql-query-state";
import { toArrayWithCancellation } from '@src/utilities/vscode/cancellation';
import { resolveFormattingConfig } from '@src/utilities/vscode/config';
import { NamespaceMap } from '@src/utilities';
import { getLog } from '@src/utilities/vscode/log';
/**
* Handler for serializing SPARQL query results.
*/
export class SparqlResultSerializer {
constructor(private readonly _prefixLookupService: IPrefixLookupService) { }
/**
* Dedupes triples and drops named-graph terms: Turtle has no graphs, and
* the serializer would skip named-graph quads outright.
*/
private _prepareQuads(quads: Quad[]): Quad[] {
const unique = new Map<string, Quad>();
for (const q of quads) {
const key = `${termToString(q.subject)} ${termToString(q.predicate)} ${termToString(q.object)}`;
if (!unique.has(key)) {
unique.set(key, q.graph.termType === 'DefaultGraph'
? q
: rdfDataFactory.quad(q.subject as any, q.predicate as any, q.object as any));
}
}
return [...unique.values()];
}
/**
* Builds pretty-printing serializer options from the `mentor.formatting.*`
* settings, mirroring the Format Document defaults. Blank nodes are
* relabeled so store-internal ids do not leak into exports.
*/
private _buildTurtleOptions(prefixes: Record<string, string>): SerializationOptions {
return {
prefixes,
directiveStyle: 'turtle',
// prettyPrint gates blank-line and inline-blank-node formatting in the
// serializer; set it explicitly so exports never depend on the library default.
prettyPrint: true,
maxLineWidth: resolveFormattingConfig('turtle', 'maxLineWidth', 120),
spaceBeforePunctuation: resolveFormattingConfig('turtle', 'spaceBeforePunctuation', true),
blankLinesBetweenSubjects: resolveFormattingConfig('turtle', 'blankLinesBetweenSubjects', true),
relabelBlankNodes: true,
};
}
/**
* Serializes SPARQL query results into a format suitable for the webview.
* @param documentIri The IRI of the document where the query was run.
* @param bindingStream The SPARQL query results as a BindingsStream.
* @param limit The maximum number of results to serialize.
* @returns An object containing the serialized results.
*/
async serializeBindings(context: SparqlQueryExecutionState, bindingStream: AsyncIterator<Bindings>, token: vscode.CancellationToken): Promise<BindingsResult> {
// Note: This evaluates the query results and collects the bindings.
const bindings = await toArrayWithCancellation(bindingStream, token);
const parsedColumns: string[] = [];
if (context.query) {
// Shared instances: lexer/parser construction is expensive, and the
// shared lexer may carry another caller's blank node ID generator.
const lexer = ParserFactory.getLexer(RdfSyntax.Sparql);
lexer.blankNodeIdGenerator = undefined;
const lexResult = lexer.tokenize(context.query);
const cst = ParserFactory.getParser(RdfSyntax.Sparql).parse(lexResult.tokens);
// Parse the variables from select queries in the order they were defined.
const variables = new SparqlVariableParser().getSelectedVariables(cst);
parsedColumns.push(...variables);
}
const namespaces = new Set<string>();
const rows: Record<string, any>[] = [];
const serializeTerm = (value: Term): Record<string, any> => {
const term: Record<string, any> = {
termType: value.termType,
value: value.value,
};
if (value.termType === 'NamedNode') {
namespaces.add(Uri.getNamespaceIri(value.value));
} else if (value.termType === 'Literal') {
term.datatype = { termType: 'NamedNode', value: value.datatype.value };
term.language = value.language;
} else Eif (value.termType === 'Quad') {
term.subject = serializeTerm(value.subject);
term.predicate = serializeTerm(value.predicate);
term.object = serializeTerm(value.object);
}
return term;
};
for (const binding of bindings) {
const row: Record<string, any> = {};
for (const [key, value] of binding) {
if (!parsedColumns.includes(key.value)) {
parsedColumns.push(key.value);
}
row[key.value] = serializeTerm(value);
}
rows.push(row);
}
const documentIri = context.documentIri ?? '';
const namespaceMap: NamespaceMap = {};
for (const iri of namespaces) {
const prefix = this._prefixLookupService.getPrefixForIri(documentIri, iri, '\0');
if (prefix !== '\0') {
namespaceMap[iri] = prefix;
}
}
const result: BindingsResult = {
type: 'bindings',
columns: parsedColumns,
rows,
namespaceMap
};
return result;
}
/**
* Builds a bindings result from a list of IRIs for a single column, without
* executing a query. Used to render already-cached data (e.g. auto-loaded
* named graphs) in the standard results table.
* @param query The SPARQL query the IRIs correspond to; used to derive the column name.
* @param iris The IRIs to render, one per row.
* @param documentIri The IRI of the document used for prefix resolution.
* @returns A BindingsResult mirroring the shape produced by {@link serializeBindings}.
*/
serializeIriList(query: string, iris: string[], documentIri: string = ''): BindingsResult {
let column = 'graph';
try {
const lexer = ParserFactory.getLexer(RdfSyntax.Sparql);
lexer.blankNodeIdGenerator = undefined;
const lexResult = lexer.tokenize(query);
const cst = ParserFactory.getParser(RdfSyntax.Sparql).parse(lexResult.tokens);
const variables = new SparqlVariableParser().getSelectedVariables(cst);
if (variables.length > 0) {
column = variables[0];
}
} catch {
// Keep the default column name if the query cannot be parsed.
}
const namespaceMap: NamespaceMap = {};
const rows: Record<string, any>[] = [];
for (const iri of iris) {
const namespace = Uri.getNamespaceIri(iri);
const prefix = this._prefixLookupService.getPrefixForIri(documentIri, namespace, '\0');
if (prefix !== '\0') {
namespaceMap[namespace] = prefix;
}
rows.push({ [column]: { termType: 'NamedNode', value: iri } });
}
return {
type: 'bindings',
columns: [column],
rows,
namespaceMap
};
}
/**
* Serializes a stream of quads into Turtle format.
* @param context The query execution context.
* @param quadStream The SPARQL query results as a QuadStream.
* @param token The cancellation token.
* @returns A string containing the serialized Turtle document.
*/
async serializeQuads(context: SparqlQueryExecutionState, quadStream: AsyncIterator<Quad>, token: vscode.CancellationToken): Promise<string> {
try {
const inputQuads = await toArrayWithCancellation(quadStream, token);
if (inputQuads.length === 0) {
return '';
}
// Get namespace prefixes for better formatting
const documentIri = context.documentIri ?? '';
const prefixMap: Record<string, string> = {};
// Collect unique namespace IRIs from the quads
const namespaces = new Set<string>();
for (const quad of inputQuads) {
Eif (quad.subject.termType === 'NamedNode') {
namespaces.add(Uri.getNamespaceIri(quad.subject.value));
}
Eif (quad.predicate.termType === 'NamedNode') {
namespaces.add(Uri.getNamespaceIri(quad.predicate.value));
}
Eif (quad.object.termType === 'NamedNode') {
namespaces.add(Uri.getNamespaceIri(quad.object.value));
}
}
// Build prefix map
for (const iri of namespaces) {
const prefix = this._prefixLookupService.getPrefixForIri(documentIri, iri, '');
if (prefix !== '') {
prefixMap[prefix] = iri;
}
}
const outputQuads = this._prepareQuads(inputQuads);
const outputOptions = this._buildTurtleOptions(prefixMap);
return new TurtleSerializer().serialize(outputQuads, outputOptions);
} catch (error) {
getLog().error('Error serializing quads to Turtle:', error);
return '';
}
}
/**
* Serializes an array of quads into Turtle format without requiring a context.
* @param quads The array of quads to serialize.
* @param namespaces Optional namespace map for prefix resolution.
* @returns A string containing the serialized Turtle document.
*/
async serializeQuadsToString(quads: Quad[], namespaces?: Record<string, string>): Promise<string> {
try {
if (quads.length === 0) {
return '';
}
const prefixMap: Record<string, string> = {};
if (namespaces) {
Object.assign(prefixMap, namespaces);
} else {
// Collect unique namespace IRIs from the quads
const namespaceIris = new Set<string>();
for (const quad of quads) {
Eif (quad.subject.termType === 'NamedNode') {
namespaceIris.add(Uri.getNamespaceIri(quad.subject.value));
}
Eif (quad.predicate.termType === 'NamedNode') {
namespaceIris.add(Uri.getNamespaceIri(quad.predicate.value));
}
Eif (quad.object.termType === 'NamedNode') {
namespaceIris.add(Uri.getNamespaceIri(quad.object.value));
}
}
// Build prefix map using inference prefixes and default prefixes
const inferencePrefixes = this._prefixLookupService.getInferencePrefixes();
const defaultPrefixes = this._prefixLookupService.getDefaultPrefixes();
const allPrefixes = { ...inferencePrefixes, ...defaultPrefixes };
for (const iri of namespaceIris) {
// allPrefixes is { prefix: iri }, so we need to find the prefix for this iri
for (const [prefix, prefixIri] of Object.entries(allPrefixes)) {
Eif (prefixIri === iri) {
prefixMap[prefix] = iri;
break;
}
}
}
}
return new TurtleSerializer().serialize(this._prepareQuads(quads), this._buildTurtleOptions(prefixMap));
} catch (error) {
getLog().error('Error serializing quads to Turtle:', error);
return '';
}
}
} |