RAG MCP Server

// src/tools/rag/search-code.ts // Outil: search_code - Recherche sémantique dans le code indexé import { getRagConfigManager } from "../../config/rag-config.js"; import { searchCode } from "../../rag/searcher.js"; import { setEmbeddingProvider } from "../../rag/vector-store.js"; /** * Définition de l'outil search_code */ export const searchCodeTool = { name: "search_code", description: "Recherche sémantique dans le code indexé avec options RAG", inputSchema: { type: "object", properties: { query: { type: "string", description: "Requête de recherche sémantique" }, project_filter: { type: "string", description: "Filtrer par chemin de projet spécifique" }, limit: { type: "number", description: "Nombre maximum de résultats", default: 10, minimum: 1, maximum: 50 }, threshold: { type: "number", description: "Seuil de similarité (0.0 à 1.0)", default: 0, minimum: 0, maximum: 1 }, format_output: { type: "boolean", description: "Formater la sortie pour l'affichage", default: true }, embedding_provider: { type: "string", description: "Fournisseur d'embeddings pour la recherche (fake, ollama, sentence-transformers)", enum: ["fake", "ollama", "sentence-transformers"], default: "fake" }, embedding_model: { type: "string", description: "Modèle d'embeddings (pour Ollama: 'nomic-embed-text', 'all-minilm', etc.)", default: "nomic-embed-text" } }, required: ["query"] }, }; /** * Handler pour l'outil search_code */ export const searchCodeHandler = async (args) => { if (!args.query || typeof args.query !== 'string') { throw new Error("The 'query' parameter is required and must be a string"); } // Charger la configuration const configManager = getRagConfigManager(); const defaults = configManager.getDefaults(); const searchDefaults = configManager.getSearchDefaults(); // Utiliser les valeurs par défaut de la configuration si non spécifiées const embedding_provider = args.embedding_provider || defaults.embedding_provider; const embedding_model = args.embedding_model || defaults.embedding_model; const limit = configManager.applyLimits('search_limit', args.limit || searchDefaults.limit); const threshold = configManager.applyLimits('search_threshold', args.threshold || searchDefaults.threshold); const format_output = args.format_output !== undefined ? args.format_output : searchDefaults.format; // Configurer le fournisseur d'embeddings setEmbeddingProvider(embedding_provider, embedding_model); const options = { projectFilter: args.project_filter, limit: limit, threshold: threshold }; try { const searchResult = await searchCode(args.query, options); // Formater la sortie si demandé if (format_output !== false) { const formatted = `Recherche RAG: "${args.query}"\n` + `Configuration: provider=${embedding_provider}, model=${embedding_model}\n` + `Résultats: ${searchResult.totalResults}\n` + `Temps d'exécution: ${searchResult.stats?.executionTime || 0}ms\n` + `Projets scannés: ${searchResult.stats?.projectsScanned || 0}\n` + `Limite: ${limit}, Seuil: ${threshold}\n\n` + searchResult.results.map((r, i) => `${i + 1}. ${r.filePath} (score: ${(r.score * 100).toFixed(2)}%)\n` + ` Projet: ${r.metadata.projectPath}\n` + ` Contenu: ${r.content.substring(0, 100)}...`).join('\n\n'); return { content: [{ type: "text", text: formatted }] }; } return { content: [{ type: "text", text: JSON.stringify({ ...searchResult, config_used: { embedding_provider, embedding_model, limit, threshold, format_output } }, null, 2) }] }; } catch (error) { console.error("Error in search_code tool:", error); throw error; } }; /** * Test de l'outil (pour usage en développement) */ export async function testSearchCode() { console.log("Testing search_code tool..."); try { // D'abord indexer un projet de test const testProjectPath = "/tmp/test-project-search"; const fs = await import('fs'); const path = await import('path'); if (!fs.existsSync(testProjectPath)) { fs.mkdirSync(testProjectPath, { recursive: true }); } // Créer un fichier de test avec du contenu spécifique const testFile = path.join(testProjectPath, "search-test.js"); fs.writeFileSync(testFile, "// This is a test file for search functionality\nconst searchQuery = 'find me';\nconsole.log('Search test successful');"); // Indexer le projet const { indexProjectHandler } = await import("./index-project.js"); await indexProjectHandler({ project_path: testProjectPath, file_patterns: ["**/*.js"], recursive: true, embedding_provider: "fake" }); console.log(`✅ Indexed test project at: ${testProjectPath}`); // Rechercher const result = await searchCodeHandler({ query: "search test", format_output: false, embedding_provider: "fake" }); console.log("✅ Test passed:", result ? "Oui" : "Non"); // Nettoyer fs.rmSync(testProjectPath, { recursive: true, force: true }); return result; } catch (error) { console.error("❌ Test failed:", error); throw error; } }