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proffesor-for-testing__agen…/tests/agents/CoverageAnalyzerAgent.test.ts
Profa 5a2883a4a0 chore: Initial release v1.0.0
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>
2025-09-30 19:59:56 +00:00

488 lines
17 KiB
TypeScript

/**
* CoverageAnalyzerAgent Test Suite - Agent System Priority #2
* Tests O(log n) coverage optimization and gap detection
*/
import { CoverageAnalyzerAgent } from '../../src/agents/CoverageAnalyzerAgent';
import { EventBus } from '../../src/core/EventBus';
import { Task } from '../../src/core/Task';
describe('CoverageAnalyzerAgent', () => {
let agent: CoverageAnalyzerAgent;
let eventBus: EventBus;
beforeEach(() => {
eventBus = new EventBus();
agent = new CoverageAnalyzerAgent('coverage-analyzer-1', eventBus);
});
afterEach(async () => {
if (agent.isRunning()) {
await agent.stop();
}
});
describe('initialization and capabilities', () => {
it('should initialize with coverage analysis capabilities', () => {
expect(agent.getType()).toBe('coverage-analyzer');
expect(agent.hasCapability('coverage-analysis')).toBe(true);
expect(agent.hasCapability('gap-detection')).toBe(true);
expect(agent.hasCapability('sublinear-optimization')).toBe(true);
expect(agent.hasCapability('critical-path-analysis')).toBe(true);
});
it('should start and be ready for coverage analysis', async () => {
await agent.start();
expect(agent.isRunning()).toBe(true);
expect(agent.getStatus()).toBe('idle');
});
});
describe('coverage analysis', () => {
beforeEach(async () => {
await agent.start();
});
it('should analyze basic coverage data', async () => {
const task = new Task('basic-coverage-analysis', 'analyze-coverage', {
coverageData: {
lines: { total: 100, covered: 80, percentage: 80 },
branches: { total: 50, covered: 35, percentage: 70 },
functions: { total: 20, covered: 18, percentage: 90 },
statements: { total: 150, covered: 120, percentage: 80 }
},
thresholds: {
lines: 85,
branches: 75,
functions: 90,
statements: 85
}
});
const result = await agent.executeTask(task);
expect(result.status).toBe('completed');
expect(result.result.analysis).toBeDefined();
expect(result.result.analysis.overallCoverage).toBe(80);
expect(result.result.analysis.meetsThresholds).toBe(false);
expect(result.result.gaps).toBeDefined();
});
it('should identify specific coverage gaps', async () => {
const task = new Task('gap-identification', 'analyze-coverage', {
coverageData: generateDetailedCoverageData(),
sourceFiles: [
'src/user/UserService.js',
'src/payment/PaymentProcessor.js',
'src/utils/Validator.js'
]
});
const result = await agent.executeTask(task);
expect(result.result.gaps).toBeDefined();
expect(result.result.gaps.uncoveredLines).toBeInstanceOf(Array);
expect(result.result.gaps.uncoveredBranches).toBeInstanceOf(Array);
expect(result.result.gaps.prioritizedGaps).toBeDefined();
});
it('should perform O(log n) optimization for large codebases', async () => {
const task = new Task('sublinear-coverage-analysis', 'analyze-coverage', {
coverageData: generateLargeCoverageData(10000), // 10k lines
optimizationTarget: 'sublinear',
algorithm: 'binary-search-gaps'
});
const startTime = Date.now();
const result = await agent.executeTask(task);
const executionTime = Date.now() - startTime;
expect(result.status).toBe('completed');
expect(result.result.optimization).toBeDefined();
expect(result.result.optimization.algorithm).toBe('O(log n)');
expect(result.result.optimization.executionTime).toBeLessThan(5000);
expect(executionTime).toBeLessThan(6000); // Should be fast
});
});
describe('gap detection algorithms', () => {
beforeEach(async () => {
await agent.start();
});
it('should detect critical path gaps', async () => {
const task = new Task('critical-path-gaps', 'detect-gaps', {
coverageData: generateCoverageWithCriticalPaths(),
criticalPaths: [
'src/payment/PaymentProcessor.js:processPayment',
'src/auth/AuthService.js:validateToken',
'src/db/DatabaseConnection.js:transaction'
]
});
const result = await agent.executeTask(task);
expect(result.result.criticalPathGaps).toBeDefined();
expect(result.result.criticalPathGaps.length).toBeGreaterThan(0);
expect(result.result.riskAssessment).toBeDefined();
expect(result.result.riskAssessment.highRiskGaps).toBeDefined();
});
it('should use binary search for efficient gap detection', async () => {
const task = new Task('binary-search-gaps', 'detect-gaps', {
coverageData: generateSortedCoverageData(1000),
algorithm: 'binary-search',
targetCoverage: 90
});
const result = await agent.executeTask(task);
expect(result.result.algorithm).toBe('binary-search');
expect(result.result.searchSteps).toBeLessThan(Math.log2(1000) + 1);
expect(result.result.gapsFound).toBeDefined();
});
it('should implement matrix-based gap analysis', async () => {
const task = new Task('matrix-gap-analysis', 'detect-gaps', {
coverageMatrix: generateCoverageMatrix(100, 50), // 100 files, 50 tests
algorithm: 'matrix-decomposition'
});
const result = await agent.executeTask(task);
expect(result.result.matrixAnalysis).toBeDefined();
expect(result.result.matrixAnalysis.rank).toBeDefined();
expect(result.result.matrixAnalysis.nullSpace).toBeDefined();
expect(result.result.recommendedTests).toBeDefined();
});
});
describe('optimization strategies', () => {
beforeEach(async () => {
await agent.start();
});
it('should optimize test selection for maximum coverage gain', async () => {
const task = new Task('optimize-test-selection', 'optimize-coverage', {
existingTests: generateTestSuite(50),
uncoveredCode: generateUncoveredSegments(200),
budget: 10, // Can only add 10 more tests
strategy: 'maximum-coverage-gain'
});
const result = await agent.executeTask(task);
expect(result.result.selectedTests).toBeDefined();
expect(result.result.selectedTests.length).toBeLessThanOrEqual(10);
expect(result.result.expectedCoverageGain).toBeGreaterThan(0);
expect(result.result.optimization.algorithm).toBe('greedy-sublinear');
});
it('should minimize test execution time while maintaining coverage', async () => {
const task = new Task('minimize-execution-time', 'optimize-coverage', {
testSuite: generateTestSuiteWithTiming(100),
minCoverageThreshold: 85,
strategy: 'minimize-time'
});
const result = await agent.executeTask(task);
expect(result.result.optimizedSuite).toBeDefined();
expect(result.result.totalExecutionTime).toBeLessThan(
calculateTotalTime(generateTestSuiteWithTiming(100))
);
expect(result.result.maintainedCoverage).toBeGreaterThanOrEqual(85);
});
it('should balance coverage vs execution time trade-offs', async () => {
const task = new Task('balance-tradeoffs', 'optimize-coverage', {
testSuite: generateTestSuiteWithTiming(100),
weights: { coverage: 0.7, time: 0.3 },
strategy: 'pareto-optimal'
});
const result = await agent.executeTask(task);
expect(result.result.paretoFront).toBeDefined();
expect(result.result.recommendedSolution).toBeDefined();
expect(result.result.tradeoffAnalysis).toBeDefined();
});
});
describe('real-time monitoring', () => {
beforeEach(async () => {
await agent.start();
});
it('should provide real-time coverage updates', async () => {
const task = new Task('realtime-monitoring', 'monitor-coverage', {
watchMode: true,
updateInterval: 100, // 100ms updates
duration: 1000 // Monitor for 1 second
});
const updates: any[] = [];
eventBus.on('coverage:update', (data) => updates.push(data));
const result = await agent.executeTask(task);
expect(result.status).toBe('completed');
expect(updates.length).toBeGreaterThan(0);
expect(result.result.monitoringSession).toBeDefined();
});
it('should detect coverage regressions in real-time', async () => {
const task = new Task('regression-detection', 'monitor-coverage', {
baseline: { coverage: 85, timestamp: Date.now() - 1000 },
threshold: 2, // 2% regression threshold
realtime: true
});
// Simulate coverage drop
setTimeout(() => {
eventBus.emit('test:completed', { coverage: 82 });
}, 100);
const result = await agent.executeTask(task);
expect(result.result.regressionDetected).toBe(true);
expect(result.result.regressionSeverity).toBe('medium');
});
});
describe('reporting and visualization', () => {
beforeEach(async () => {
await agent.start();
});
it('should generate comprehensive coverage reports', async () => {
const task = new Task('generate-report', 'generate-report', {
coverageData: generateDetailedCoverageData(),
format: 'comprehensive',
includeCharts: true
});
const result = await agent.executeTask(task);
expect(result.result.report).toBeDefined();
expect(result.result.report.summary).toBeDefined();
expect(result.result.report.fileDetails).toBeDefined();
expect(result.result.report.trends).toBeDefined();
expect(result.result.visualizations).toBeDefined();
});
it('should create coverage heat maps', async () => {
const task = new Task('generate-heatmap', 'generate-visualization', {
coverageData: generateDetailedCoverageData(),
visualization: 'heatmap',
granularity: 'function'
});
const result = await agent.executeTask(task);
expect(result.result.heatmap).toBeDefined();
expect(result.result.heatmap.data).toBeDefined();
expect(result.result.heatmap.colorScale).toBeDefined();
});
it('should track coverage trends over time', async () => {
const task = new Task('track-trends', 'analyze-trends', {
historicalData: generateHistoricalCoverageData(30), // 30 days
timeframe: 'weekly',
predictions: true
});
const result = await agent.executeTask(task);
expect(result.result.trends).toBeDefined();
expect(result.result.trends.direction).toMatch(/increasing|decreasing|stable/);
expect(result.result.predictions).toBeDefined();
});
});
describe('integration with external tools', () => {
beforeEach(async () => {
await agent.start();
});
it('should integrate with Istanbul coverage data', async () => {
const task = new Task('istanbul-integration', 'import-coverage', {
source: 'istanbul',
data: generateIstanbulCoverageData()
});
const result = await agent.executeTask(task);
expect(result.result.imported).toBe(true);
expect(result.result.normalizedData).toBeDefined();
expect(result.result.analysis).toBeDefined();
});
it('should integrate with Jest coverage reports', async () => {
const task = new Task('jest-integration', 'import-coverage', {
source: 'jest',
reportPath: './coverage/lcov.info'
});
const result = await agent.executeTask(task);
expect(result.result.imported).toBe(true);
expect(result.result.testFramework).toBe('jest');
});
it('should export to external monitoring systems', async () => {
const task = new Task('export-metrics', 'export-coverage', {
destination: 'prometheus',
metrics: ['coverage_percentage', 'gap_count', 'critical_gaps'],
format: 'prometheus'
});
const result = await agent.executeTask(task);
expect(result.result.exported).toBe(true);
expect(result.result.metricsFormat).toBe('prometheus');
expect(result.result.metricsData).toBeDefined();
});
});
describe('error handling and edge cases', () => {
beforeEach(async () => {
await agent.start();
});
it('should handle malformed coverage data', async () => {
const task = new Task('malformed-data', 'analyze-coverage', {
coverageData: { invalid: 'data' }
});
const result = await agent.executeTask(task);
expect(result.status).toBe('failed');
expect(result.error).toContain('malformed');
});
it('should handle empty coverage data gracefully', async () => {
const task = new Task('empty-data', 'analyze-coverage', {
coverageData: { lines: { total: 0, covered: 0 } }
});
const result = await agent.executeTask(task);
expect(result.status).toBe('completed');
expect(result.result.analysis.overallCoverage).toBe(0);
expect(result.result.recommendations).toContain('No tests found');
});
});
});
// Helper functions for generating test data
function generateDetailedCoverageData() {
return {
lines: { total: 1000, covered: 850, percentage: 85 },
branches: { total: 500, covered: 375, percentage: 75 },
functions: { total: 100, covered: 90, percentage: 90 },
statements: { total: 1200, covered: 960, percentage: 80 },
files: {
'src/user/UserService.js': { lines: 80, branches: 60, functions: 90 },
'src/payment/PaymentProcessor.js': { lines: 70, branches: 65, functions: 85 },
'src/utils/Validator.js': { lines: 95, branches: 90, functions: 100 }
}
};
}
function generateLargeCoverageData(lineCount: number) {
return {
lines: { total: lineCount, covered: Math.floor(lineCount * 0.85) },
branches: { total: Math.floor(lineCount * 0.3), covered: Math.floor(lineCount * 0.25) },
functions: { total: Math.floor(lineCount * 0.1), covered: Math.floor(lineCount * 0.09) },
statements: { total: Math.floor(lineCount * 1.2), covered: Math.floor(lineCount * 1.0) }
};
}
function generateCoverageWithCriticalPaths() {
return {
files: {
'src/payment/PaymentProcessor.js': {
functions: {
'processPayment': { covered: false, critical: true },
'validateCard': { covered: true, critical: true },
'formatAmount': { covered: false, critical: false }
}
},
'src/auth/AuthService.js': {
functions: {
'validateToken': { covered: false, critical: true },
'refreshToken': { covered: true, critical: true }
}
}
}
};
}
function generateCoverageMatrix(fileCount: number, testCount: number) {
const matrix = Array(fileCount).fill(null).map(() =>
Array(testCount).fill(0).map(() => Math.random() > 0.7 ? 1 : 0)
);
return matrix;
}
function generateTestSuite(testCount: number) {
return Array.from({ length: testCount }, (_, i) => ({
id: `test-${i}`,
name: `Test ${i}`,
coverage: Math.random() * 20 + 5, // 5-25% coverage per test
executionTime: Math.random() * 1000 + 100 // 100-1100ms
}));
}
function generateTestSuiteWithTiming(testCount: number) {
return Array.from({ length: testCount }, (_, i) => ({
id: `test-${i}`,
name: `Test ${i}`,
coverage: Math.random() * 15 + 5,
executionTime: Math.random() * 2000 + 50,
priority: Math.floor(Math.random() * 3) + 1
}));
}
function calculateTotalTime(testSuite: any[]) {
return testSuite.reduce((total, test) => total + test.executionTime, 0);
}
function generateUncoveredSegments(count: number) {
return Array.from({ length: count }, (_, i) => ({
file: `src/file${Math.floor(i / 10)}.js`,
line: (i % 100) + 1,
type: Math.random() > 0.5 ? 'line' : 'branch',
complexity: Math.floor(Math.random() * 5) + 1
}));
}
function generateHistoricalCoverageData(days: number) {
return Array.from({ length: days }, (_, i) => ({
date: new Date(Date.now() - (days - i) * 24 * 60 * 60 * 1000),
coverage: 70 + Math.random() * 20 + i * 0.5, // Gradually improving
tests: 100 + i * 2,
files: 50 + Math.floor(i / 5)
}));
}
function generateIstanbulCoverageData() {
return {
version: '1.0.0',
summary: {
lines: { total: 100, covered: 85, skipped: 0, pct: 85 },
functions: { total: 20, covered: 18, skipped: 0, pct: 90 },
statements: { total: 120, covered: 100, skipped: 0, pct: 83.33 },
branches: { total: 50, covered: 40, skipped: 0, pct: 80 }
}
};
}
function generateSortedCoverageData(size: number) {
return Array.from({ length: size }, (_, i) => ({
line: i + 1,
covered: Math.random() > 0.15, // 85% coverage
file: `src/file${Math.floor(i / 100)}.js`
})).sort((a, b) => a.line - b.line);
}