rdf-test-suite

import { TestSuiteRunner, type IQueryEngine } from 'rdf-test-suite'; import { AsyncIterator } from 'asynciterator'; // Make sure 'asynciterator' is installed // Define a minimal, non-functional SPARQL query engine for demonstration. // In a real scenario, this would be your actual SPARQL engine implementation. const dummyEngine: IQueryEngine = { async query(queryString: string, queryContext?: any): Promise<AsyncIterator<any>> { console.log(`[DummyEngine] Executing query (truncated): ${queryString.substring(0, 70)}...`); return new AsyncIterator(); // Returns an empty iterator, most tests will fail or be skipped. }, async update(updateString: string, updateContext?: any): Promise<void> { console.log(`[DummyEngine] Executing update (truncated): ${updateString.substring(0, 70)}...`); return Promise.resolve(); }, }; async function runExampleTestSuite() { const runner = new TestSuiteRunner(); const sparql11ManifestUrl = 'https://w3c.github.io/rdf-tests/sparql/sparql11/manifest-all.ttl'; console.log(`Starting SPARQL 1.1 test suite run against dummy engine...`); console.log(`Manifest: ${sparql11ManifestUrl}`); // Run the test suite and get an async iterator of results. const results = await runner.runTestSuite(dummyEngine, sparql11ManifestUrl, { verbose: false, // Set to true for more detailed console output exitOnFail: false, // Continue even if tests fail }); // Iterate over results and summarize let passed = 0; let failed = 0; let skipped = 0; for await (const result of results) { if (result.type === 'test') { if (result.skipped) { skipped++; } else if (result.error) { failed++; } else { passed++; } } } console.log('\n--- Summary ---'); console.log(`Tests Passed: ${passed}`); console.log(`Tests Failed: ${failed}`); console.log(`Tests Skipped: ${skipped}`); console.log('Note: Most tests are expected to fail or be skipped with a dummy engine.'); } runExampleTestSuite().catch(console.error);