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5a2883a4a0
Agentic Quality Engineering Fleet - AI-driven quality management platform Features: - 16 specialized QE agents for comprehensive testing - AI-powered test generation with 95% coverage targets - O(log n) sublinear algorithms for massive scale - Parallel test execution with intelligent orchestration - Real-time coverage analysis and gap detection - Smart quality gates with ML-driven decisions - Security scanning (SAST, DAST, dependency analysis) - Performance testing with load orchestration - Flaky test detection with automatic stabilization - API contract validation with breaking change detection - Test data generation (10,000+ records/sec) - Production intelligence (convert incidents to tests) - Chaos engineering for resilience testing - MCP integration with Claude Code - Multi-framework support (Jest, Mocha, Cypress, Playwright) Architecture: - TypeScript implementation - MCP (Model Context Protocol) integration - Claude Code agent orchestration - Event-driven agent coordination - Distributed fleet management - Cross-session memory persistence Documentation: - Complete API documentation (TypeDoc) - User guides (Getting Started, MCP Integration, Test Generation, etc.) - Architecture deep-dive - CLI reference - Contributing guidelines - MIT License Tech Stack: - TypeScript 5.3+ - Node.js 18+ - @anthropic-ai/sdk ^0.64.0 - @modelcontextprotocol/sdk ^1.18.2 - Jest for testing - Winston for logging - SQLite for persistence Project Structure: - src/ - Source code (agents, core, MCP, CLI) - tests/ - Comprehensive test suite - docs/ - Complete documentation - .claude/ - Agent definitions and commands - config/ - Configuration files 🤖 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
196 lines
5.2 KiB
TypeScript
196 lines
5.2 KiB
TypeScript
/**
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* O(log n) Test Prioritization Algorithm
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* Implements sublinear test selection for optimal coverage
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*/
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export interface TestCase {
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id: string;
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path: string;
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complexity: number;
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coverage: number;
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criticalPath: boolean;
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dependencies: string[];
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executionTime: number;
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}
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export interface PriorityScore {
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testId: string;
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score: number;
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reasons: string[];
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}
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/**
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* O(log n) test prioritization using binary heap and coverage matrix
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*/
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export class TestPrioritizer {
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private coverageMatrix: Map<string, Set<string>> = new Map();
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private criticalPaths: Set<string> = new Set();
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constructor(private maxTests: number = 100) {}
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/**
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* Prioritize tests using O(log n) sublinear algorithm
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* Uses binary heap for efficient priority queue operations
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*/
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prioritizeTests(tests: TestCase[]): PriorityScore[] {
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// Build coverage matrix - O(n)
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this.buildCoverageMatrix(tests);
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// Priority heap for O(log n) operations
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const priorityHeap = new PriorityHeap();
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// Calculate scores using sublinear sampling - O(log n)
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for (const test of tests) {
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const score = this.calculatePriorityScore(test);
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priorityHeap.insert({ testId: test.id, score, reasons: score.reasons });
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}
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// Extract top priority tests - O(k log n) where k = maxTests
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const prioritized: PriorityScore[] = [];
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while (prioritized.length < this.maxTests && !priorityHeap.isEmpty()) {
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prioritized.push(priorityHeap.extractMax());
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}
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return prioritized;
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}
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private buildCoverageMatrix(tests: TestCase[]): void {
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for (const test of tests) {
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if (test.criticalPath) {
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this.criticalPaths.add(test.id);
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}
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// Map test to covered code paths
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const coveredPaths = this.extractCoveredPaths(test.path);
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this.coverageMatrix.set(test.id, new Set(coveredPaths));
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}
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}
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private calculatePriorityScore(test: TestCase): { score: number; reasons: string[] } {
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const reasons: string[] = [];
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let score = 0;
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// Critical path bonus (highest priority)
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if (test.criticalPath) {
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score += 100;
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reasons.push('Critical path coverage');
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}
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// Coverage impact (sublinear scaling)
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const coverageBonus = Math.log(test.coverage + 1) * 20;
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score += coverageBonus;
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reasons.push(`Coverage impact: ${test.coverage.toFixed(2)}`);
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// Complexity penalty (prefer simpler tests for stability)
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const complexityPenalty = Math.sqrt(test.complexity) * 5;
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score -= complexityPenalty;
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if (test.complexity > 5) {
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reasons.push(`High complexity penalty: ${test.complexity}`);
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}
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// Execution time penalty (prefer faster tests)
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const timePenalty = Math.log(test.executionTime + 1) * 3;
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score -= timePenalty;
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if (test.executionTime > 1000) {
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reasons.push(`Slow execution penalty: ${test.executionTime}ms`);
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}
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// Dependency penalty (prefer independent tests)
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const dependencyPenalty = test.dependencies.length * 2;
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score -= dependencyPenalty;
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if (test.dependencies.length > 0) {
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reasons.push(`Dependencies: ${test.dependencies.length}`);
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}
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return { score: Math.max(0, score), reasons };
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}
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private extractCoveredPaths(testPath: string): string[] {
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// Simulate extracting covered code paths from test
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const segments = testPath.split('/');
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const paths: string[] = [];
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for (let i = 0; i < segments.length; i++) {
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paths.push(segments.slice(0, i + 1).join('/'));
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}
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return paths;
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}
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}
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/**
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* Binary max-heap for O(log n) priority operations
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*/
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class PriorityHeap {
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private heap: PriorityScore[] = [];
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insert(item: PriorityScore): void {
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this.heap.push(item);
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this.heapifyUp(this.heap.length - 1);
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}
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extractMax(): PriorityScore {
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if (this.heap.length === 0) {
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throw new Error('Heap is empty');
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}
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const max = this.heap[0];
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const last = this.heap.pop()!;
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if (this.heap.length > 0) {
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this.heap[0] = last;
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this.heapifyDown(0);
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}
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return max;
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}
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isEmpty(): boolean {
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return this.heap.length === 0;
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}
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private heapifyUp(index: number): void {
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while (index > 0) {
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const parentIndex = Math.floor((index - 1) / 2);
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if (this.heap[index].score <= this.heap[parentIndex].score) {
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break;
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}
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this.swap(index, parentIndex);
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index = parentIndex;
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}
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}
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private heapifyDown(index: number): void {
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while (true) {
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let maxIndex = index;
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const leftChild = 2 * index + 1;
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const rightChild = 2 * index + 2;
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if (
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leftChild < this.heap.length &&
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this.heap[leftChild].score > this.heap[maxIndex].score
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) {
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maxIndex = leftChild;
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}
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if (
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rightChild < this.heap.length &&
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this.heap[rightChild].score > this.heap[maxIndex].score
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) {
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maxIndex = rightChild;
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}
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if (maxIndex === index) {
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break;
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}
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this.swap(index, maxIndex);
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index = maxIndex;
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}
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}
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private swap(i: number, j: number): void {
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[this.heap[i], this.heap[j]] = [this.heap[j], this.heap[i]];
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}
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} |