test-all-tools.mjs•8.06 kB
#!/usr/bin/env node
/**
* Comprehensive test script for all Smart Connections MCP tools
*/
import { SmartConnectionsLoader } from './dist/smart-connections-loader.js';
import { SearchEngine } from './dist/search-engine.js';
const VAULT_PATH = process.env.SMART_VAULT_PATH || '/Users/dglickman@bgrove.com/Obsidian Vault for ActivTrak';
async function testAllTools() {
console.log('\n🔧 Initializing Smart Connections MCP Server...\n');
const loader = new SmartConnectionsLoader(VAULT_PATH);
await loader.initialize();
const searchEngine = new SearchEngine(loader);
console.log('═══════════════════════════════════════════════════════════');
console.log('TEST 1: get_stats');
console.log('═══════════════════════════════════════════════════════════');
const stats = searchEngine.getStats();
console.log(JSON.stringify(stats, null, 2));
const embeddingOk = stats.embeddingDimension === 384;
console.log(`\n✓ Embedding Dimension: ${stats.embeddingDimension} ${embeddingOk ? '✅' : '❌ FAILED'}`);
console.log(`✓ Total Notes: ${stats.totalNotes}`);
console.log(`✓ Total Blocks: ${stats.totalBlocks}`);
console.log(`✓ Model Key: ${stats.modelKey}`);
console.log('\n═══════════════════════════════════════════════════════════');
console.log('TEST 2: get_similar_notes');
console.log('═══════════════════════════════════════════════════════════');
try {
const similarNotes = searchEngine.getSimilarNotes('CLAUDE.md', 0.5, 5);
console.log(`\nFound ${similarNotes.length} similar notes:\n`);
similarNotes.forEach((note, idx) => {
console.log(`${idx + 1}. ${note.path}`);
console.log(` Similarity: ${note.similarity.toFixed(3)}`);
console.log(` Blocks: ${note.blocks.slice(0, 3).join(', ')}${note.blocks.length > 3 ? '...' : ''}`);
});
const hasResults = similarNotes.length > 0;
console.log(`\n${hasResults ? '✅ PASSED' : '❌ FAILED'} - Semantic similarity search working`);
} catch (error) {
console.log(`\n❌ FAILED - Error: ${error.message}`);
}
console.log('\n═══════════════════════════════════════════════════════════');
console.log('TEST 3: get_connection_graph');
console.log('═══════════════════════════════════════════════════════════');
try {
const graph = searchEngine.getConnectionGraph('CLAUDE.md', 2, 0.6, 3);
console.log(`\nRoot: ${graph.root}`);
console.log(`Total connections: ${graph.connections.length}`);
if (graph.connections.length > 0) {
console.log('\nFirst level connections:');
graph.connections.slice(0, 3).forEach(conn => {
console.log(` → ${conn.path} (similarity: ${conn.similarity.toFixed(3)}, depth: ${conn.depth})`);
});
}
const hasConnections = graph.connections.length > 0;
console.log(`\n${hasConnections ? '✅ PASSED' : '❌ FAILED'} - Connection graph building working`);
} catch (error) {
console.log(`\n❌ FAILED - Error: ${error.message}`);
}
console.log('\n═══════════════════════════════════════════════════════════');
console.log('TEST 4: search_notes (keyword search)');
console.log('═══════════════════════════════════════════════════════════');
try {
const searchResults = searchEngine.searchByQuery('competitive intelligence', 5, 0.3);
console.log(`\nFound ${searchResults.length} notes matching "competitive intelligence":\n`);
searchResults.forEach((result, idx) => {
console.log(`${idx + 1}. ${result.path}`);
console.log(` Similarity: ${result.similarity.toFixed(3)}`);
});
const hasSearchResults = searchResults.length > 0;
console.log(`\n${hasSearchResults ? '✅ PASSED' : '❌ FAILED'} - Keyword search working`);
} catch (error) {
console.log(`\n❌ FAILED - Error: ${error.message}`);
}
console.log('\n═══════════════════════════════════════════════════════════');
console.log('TEST 5: get_note_content');
console.log('═══════════════════════════════════════════════════════════');
try {
const noteContent = searchEngine.getNoteWithContext('CLAUDE.md');
console.log(`\nNote: ${noteContent.path}`);
console.log(`Content length: ${noteContent.content.length} characters`);
console.log(`Available blocks: ${noteContent.blocks.length}`);
if (noteContent.blocks.length > 0) {
console.log(`First few blocks: ${noteContent.blocks.slice(0, 3).join(', ')}`);
}
console.log(`\nFirst 150 characters of content:`);
console.log(`"${noteContent.content.substring(0, 150)}..."`);
const hasContent = noteContent.content.length > 0;
console.log(`\n${hasContent ? '✅ PASSED' : '❌ FAILED'} - Note content retrieval working`);
} catch (error) {
console.log(`\n❌ FAILED - Error: ${error.message}`);
}
console.log('\n═══════════════════════════════════════════════════════════');
console.log('TEST 6: get_embedding_neighbors');
console.log('═══════════════════════════════════════════════════════════');
try {
// Get embedding from CLAUDE.md
const claudeSource = loader.getSource('CLAUDE.md');
const modelKey = loader.getEmbeddingModelKey();
if (claudeSource && claudeSource.embeddings[modelKey]) {
const embeddingVec = claudeSource.embeddings[modelKey].vec;
const neighbors = searchEngine.getEmbeddingNeighbors(embeddingVec, 5, 0.5);
console.log(`\nFound ${neighbors.length} neighbors for CLAUDE.md embedding:\n`);
neighbors.forEach((neighbor, idx) => {
console.log(`${idx + 1}. ${neighbor.path}`);
console.log(` Similarity: ${neighbor.similarity.toFixed(3)}`);
});
const hasNeighbors = neighbors.length > 0;
console.log(`\n${hasNeighbors ? '✅ PASSED' : '❌ FAILED'} - Embedding neighbor search working`);
} else {
console.log('\n❌ FAILED - Could not get embedding for CLAUDE.md');
}
} catch (error) {
console.log(`\n❌ FAILED - Error: ${error.message}`);
}
console.log('\n═══════════════════════════════════════════════════════════');
console.log('SUMMARY');
console.log('═══════════════════════════════════════════════════════════\n');
console.log('All 6 MCP tools have been tested.');
console.log('Review the results above to verify each tool is working correctly.\n');
console.log('✅ = Working correctly');
console.log('❌ = Failed (needs attention)\n');
}
// Run tests
testAllTools().catch(console.error);