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@vfarcic/dot-ai

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AI-powered development productivity platform that enhances software development workflows through intelligent automation and AI-driven assistance

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"use strict"; /** * Dataset Loader for Standard OpenAI Evals Format * * Loads JSONL evaluation datasets following OpenAI Evals standard: * - Each line contains: {input, ideal, metadata} * - Supports filtering by category, complexity, tags * - Used by both integration tests and evaluation framework */ var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) { if (k2 === undefined) k2 = k; var desc = Object.getOwnPropertyDescriptor(m, k); if (!desc || ("get" in desc ? !m.__esModule : desc.writable || desc.configurable)) { desc = { enumerable: true, get: function() { return m[k]; } }; } Object.defineProperty(o, k2, desc); }) : (function(o, m, k, k2) { if (k2 === undefined) k2 = k; o[k2] = m[k]; })); var __setModuleDefault = (this && this.__setModuleDefault) || (Object.create ? (function(o, v) { Object.defineProperty(o, "default", { enumerable: true, value: v }); }) : function(o, v) { o["default"] = v; }); var __importStar = (this && this.__importStar) || (function () { var ownKeys = function(o) { ownKeys = Object.getOwnPropertyNames || function (o) { var ar = []; for (var k in o) if (Object.prototype.hasOwnProperty.call(o, k)) ar[ar.length] = k; return ar; }; return ownKeys(o); }; return function (mod) { if (mod && mod.__esModule) return mod; var result = {}; if (mod != null) for (var k = ownKeys(mod), i = 0; i < k.length; i++) if (k[i] !== "default") __createBinding(result, mod, k[i]); __setModuleDefault(result, mod); return result; }; })(); Object.defineProperty(exports, "__esModule", { value: true }); exports.loadEvalDataset = loadEvalDataset; exports.loadTestPhase = loadTestPhase; const fs = __importStar(require("fs")); const path = __importStar(require("path")); /** * Load evaluation dataset from JSONL file * @param datasetName - Name of the dataset file (without .jsonl extension) * @param filter - Optional filter criteria * @returns Array of evaluation samples */ function loadEvalDataset(datasetName, filter) { const datasetsDir = path.join(process.cwd(), 'eval', 'datasets'); const datasetPath = path.join(datasetsDir, `${datasetName}.jsonl`); if (!fs.existsSync(datasetPath)) { throw new Error(`Dataset not found: ${datasetPath}`); } const fileContent = fs.readFileSync(datasetPath, 'utf8'); const lines = fileContent .trim() .split('\n') .filter(line => line.trim()); const samples = lines.map((line, index) => { try { return JSON.parse(line); } catch (error) { throw new Error(`Invalid JSON at line ${index + 1} in ${datasetName}.jsonl: ${error}`, { cause: error }); } }); // Apply filters if provided if (filter) { return samples.filter(sample => { if (filter.category && sample.metadata.category !== filter.category) { return false; } if (filter.complexity && sample.metadata.complexity !== filter.complexity) { return false; } if (filter.phase && sample.metadata.phase !== filter.phase) { return false; } if (filter.tool && sample.metadata.tool !== filter.tool) { return false; } if (filter.tags) { const hasAllTags = filter.tags.every(tag => sample.metadata.tags.includes(tag)); if (!hasAllTags) { return false; } } return true; }); } return samples; } /** * Load samples for a specific test phase * @param datasetName - Dataset name * @param phase - Test phase to load * @returns Array of samples for that phase */ function loadTestPhase(datasetName, phase) { return loadEvalDataset(datasetName, { phase }); }