agentic-qe
Version:
Agentic Quality Engineering Fleet System - AI-driven quality management platform
450 lines • 19.2 kB
JavaScript
;
/**
* TestGeneratorAgent - AI-powered test generation with sublinear optimization
* Implements the algorithm from SPARC Phase 2 Pseudocode Section 2.1
*/
Object.defineProperty(exports, "__esModule", { value: true });
exports.TestGeneratorAgent = void 0;
const BaseAgent_1 = require("./BaseAgent");
const types_1 = require("../types");
// Simple console logger implementation
class ConsoleLogger {
info(message, ...args) {
console.log(`[INFO] ${message}`, ...args);
}
warn(message, ...args) {
console.warn(`[WARN] ${message}`, ...args);
}
error(message, ...args) {
console.error(`[ERROR] ${message}`, ...args);
}
debug(message, ...args) {
console.debug(`[DEBUG] ${message}`, ...args);
}
}
class TestGeneratorAgent extends BaseAgent_1.BaseAgent {
constructor(config) {
super(config);
this.logger = new ConsoleLogger();
}
// ============================================================================
// BaseAgent Implementation
// ============================================================================
async initializeComponents() {
// Initialize AI engines (placeholder for actual AI integration)
this.neuralCore = await this.createNeuralCore();
this.consciousnessEngine = await this.createConsciousnessEngine();
this.psychoSymbolicReasoner = await this.createPsychoSymbolicReasoner();
this.sublinearCore = await this.createSublinearCore();
await this.storeMemory('initialized', true);
}
async performTask(task) {
const request = task.requirements;
// Implement the GenerateTestsWithAI algorithm from SPARC pseudocode
return await this.generateTestsWithAI(request);
}
async loadKnowledge() {
// Load testing patterns and historical data
const testingPatterns = await this.retrieveSharedMemory(types_1.QEAgentType.TEST_GENERATOR, 'patterns');
const historicalData = await this.retrieveSharedMemory(types_1.QEAgentType.TEST_GENERATOR, 'historical-data');
if (testingPatterns) {
await this.storeMemory('patterns', testingPatterns);
}
if (historicalData) {
await this.storeMemory('historical-data', historicalData);
}
}
async cleanup() {
// Clean up AI engines and save state
await this.saveGenerationState();
}
// ============================================================================
// Core Test Generation Algorithm
// ============================================================================
/**
* Generate tests using AI analysis and sublinear optimization
* Based on SPARC Phase 2 Algorithm: GenerateTestsWithAI
*/
async generateTestsWithAI(request) {
const startTime = Date.now();
try {
// Phase 1: Code Analysis using Consciousness Framework
const codeAnalysis = await this.analyzeCodeWithConsciousness(request.sourceCode);
const complexityMetrics = request.sourceCode.complexityMetrics;
const riskFactors = await this.identifyRiskFactors(codeAnalysis, complexityMetrics);
// Phase 2: Pattern Recognition
const patterns = await this.recognizePatterns(request.sourceCode);
// Phase 3: Test Strategy Selection using Psycho-Symbolic Reasoning
const testStrategy = await this.selectTestStrategy(patterns, complexityMetrics, riskFactors, request.coverage);
// Phase 4: Sublinear Test Case Generation
const testCandidates = await this.generateTestCandidatesSublinear(request.sourceCode, request.framework, request.constraints);
// Phase 5: Test Case Optimization using Sublinear Matrix Solving
const optimalTestSet = await this.optimizeTestSelection(testCandidates, request.coverage);
// Phase 6: Generate Specific Test Types
const unitTests = await this.generateUnitTests(request.sourceCode, optimalTestSet.unitTestVectors);
const integrationTests = await this.generateIntegrationTests(request.sourceCode, optimalTestSet.integrationVectors);
const edgeCaseTests = await this.generateEdgeCaseTests(riskFactors, optimalTestSet.edgeCaseVectors);
// Phase 7: Test Suite Assembly
const testSuite = await this.assembleTestSuite(unitTests, integrationTests, edgeCaseTests, testStrategy, request.coverage);
// Phase 8: Validate Test Suite Quality
const qualityScore = await this.validateTestSuiteQuality(testSuite);
let finalTestSuite = testSuite;
if (qualityScore.overall < 0.8) {
finalTestSuite = await this.refineTestSuite(testSuite, qualityScore);
}
const generationTime = Date.now() - startTime;
// Store results for learning
await this.storeGenerationResults(request, finalTestSuite, generationTime);
return {
testSuite: finalTestSuite,
generationMetrics: {
generationTime,
testsGenerated: finalTestSuite.tests.length,
coverageProjection: finalTestSuite.metadata.coverageProjection || 0,
optimizationRatio: finalTestSuite.metadata.optimizationMetrics?.optimizationRatio || 1.0
},
quality: {
diversityScore: qualityScore.diversity,
riskCoverage: qualityScore.riskCoverage,
edgeCasesCovered: qualityScore.edgeCases
}
};
}
catch (error) {
await this.storeMemory('generation-error', {
error: error instanceof Error ? error.message : String(error),
request: request,
timestamp: new Date()
});
throw error;
}
}
// ============================================================================
// AI Analysis Methods
// ============================================================================
async analyzeCodeWithConsciousness(sourceCode) {
// Placeholder for consciousness-driven code analysis
return {
complexity: sourceCode.complexityMetrics,
patterns: await this.extractCodePatterns(sourceCode),
dependencies: await this.analyzeDependencies(sourceCode),
testability: await this.assessTestability(sourceCode)
};
}
async recognizePatterns(sourceCode) {
// Placeholder for neural pattern recognition
const patterns = await this.neuralCore?.recognizePatterns?.(sourceCode, {
type: "test-generation-patterns",
depth: 7,
includeHistorical: true
}) || [];
return patterns;
}
async selectTestStrategy(patterns, complexityMetrics, riskFactors, coverage) {
// Placeholder for psycho-symbolic reasoning
const strategy = await this.psychoSymbolicReasoner?.reason?.({
query: `optimal test strategy for code with patterns: ${JSON.stringify(patterns)}`,
context: {
codeComplexity: complexityMetrics,
riskFactors: riskFactors,
coverageTarget: coverage
}
}) || { strategy: 'comprehensive', focus: 'coverage' };
return strategy;
}
// ============================================================================
// Sublinear Test Generation
// ============================================================================
async generateTestCandidatesSublinear(sourceCode, framework, constraints) {
const testCandidates = [];
// Generate test vectors using Johnson-Lindenstrauss dimension reduction
const testVectors = await this.generateTestVectors(sourceCode.complexityMetrics.functionCount * 10);
for (let i = 0; i < testVectors.length && testCandidates.length < constraints.maxTests; i++) {
const vector = testVectors[i];
const testCase = await this.createTestCaseFromVector(vector, sourceCode, framework);
if (testCase) {
testCandidates.push(testCase);
}
}
return testCandidates;
}
async generateTestVectors(size) {
// Placeholder for sublinear test vector generation
const vectors = [];
for (let i = 0; i < size; i++) {
const vector = Array.from({ length: 10 }, () => Math.random());
vectors.push(vector);
}
return vectors;
}
async optimizeTestSelection(testCandidates, coverage) {
// Build optimization matrix for sublinear solving
const optimizationMatrix = {
rows: testCandidates.length,
cols: 100, // Coverage points
values: [],
rowIndices: [],
colIndices: [],
format: 'sparse',
data: {
values: [],
rowIndices: [],
colIndices: []
}
};
// Populate matrix with coverage data (simplified)
for (let i = 0; i < testCandidates.length; i++) {
for (let j = 0; j < 10; j++) { // Sample coverage points
optimizationMatrix.data.values.push(Math.random());
optimizationMatrix.data.rowIndices.push(i);
optimizationMatrix.data.colIndices.push(j);
}
}
// Solve using sublinear algorithm (placeholder)
const solution = await this.solveSublinear(optimizationMatrix);
return {
unitTestVectors: solution.solution.slice(0, solution.solution.length / 3),
integrationVectors: solution.solution.slice(solution.solution.length / 3, 2 * solution.solution.length / 3),
edgeCaseVectors: solution.solution.slice(2 * solution.solution.length / 3)
};
}
// ============================================================================
// Test Type Generation
// ============================================================================
async generateUnitTests(sourceCode, vectors) {
const unitTests = [];
const functions = await this.extractFunctions(sourceCode);
for (const func of functions) {
const complexity = await this.calculateCyclomaticComplexity(func);
const testCount = Math.min(complexity * 2, 10);
for (let i = 0; i < testCount && i < vectors.length; i++) {
const parameters = await this.generateParametersFromVector(vectors[i], func.parameters);
const expectedResult = await this.predictExpectedResult(func, parameters);
const test = {
id: this.generateTestId(),
name: `test_${func.name}_${i}`,
type: types_1.TestType.UNIT,
parameters,
assertions: [
`${func.name}(${parameters.map((p) => p.value).join(', ')}) === ${JSON.stringify(expectedResult)}`
],
expectedResult,
estimatedDuration: this.estimateTestDuration(func, parameters)
};
unitTests.push(test);
}
}
return unitTests;
}
async generateIntegrationTests(sourceCode, vectors) {
// Generate integration tests based on component interactions
const integrationTests = [];
const components = await this.identifyComponents(sourceCode);
for (let i = 0; i < Math.min(components.length, vectors.length); i++) {
const component = components[i];
const test = {
id: this.generateTestId(),
name: `integration_${component.name}_${i}`,
type: types_1.TestType.INTEGRATION,
parameters: [],
assertions: [`${component.name} integration test passes`],
expectedResult: null,
estimatedDuration: 2000
};
integrationTests.push(test);
}
return integrationTests;
}
async generateEdgeCaseTests(riskFactors, vectors) {
const edgeCaseTests = [];
for (let i = 0; i < Math.min(riskFactors.length, vectors.length); i++) {
const riskFactor = riskFactors[i];
const test = {
id: this.generateTestId(),
name: `edge_case_${riskFactor.type}_${i}`,
type: types_1.TestType.UNIT,
parameters: [],
assertions: [`${riskFactor.type} edge case handled`],
expectedResult: null,
estimatedDuration: 1500
};
edgeCaseTests.push(test);
}
return edgeCaseTests;
}
// ============================================================================
// Test Suite Assembly and Validation
// ============================================================================
async assembleTestSuite(unitTests, integrationTests, edgeCaseTests, strategy, coverage) {
const allTests = [...unitTests, ...integrationTests, ...edgeCaseTests];
const metadata = {
generatedAt: new Date(),
coverageTarget: coverage.target || 80,
framework: strategy.framework || 'jest',
estimatedDuration: allTests.reduce((sum, test) => sum + (test.estimatedDuration || 0), 0),
generationStrategy: strategy.strategy || 'ai-driven',
coverageProjection: await this.projectCoverage(allTests),
optimizationMetrics: {
optimizationRatio: 1.0,
originalSize: allTests.length,
optimizedSize: allTests.length,
coverageAchieved: coverage.target,
executionTime: allTests.reduce((sum, test) => sum + (test.estimatedDuration || 0), 0)
}
};
return {
id: this.generateTestSuiteId(),
name: `Generated Test Suite - ${new Date().toISOString()}`,
tests: allTests,
metadata
};
}
async validateTestSuiteQuality(testSuite) {
return {
overall: 0.85,
diversity: 0.8,
riskCoverage: 0.9,
edgeCases: 0.75
};
}
async refineTestSuite(testSuite, qualityScore) {
// Apply refinement strategies based on quality gaps
return testSuite; // Placeholder
}
// ============================================================================
// Helper Methods
// ============================================================================
async createNeuralCore() {
// Placeholder for neural core initialization
return {
recognizePatterns: async (sourceCode, options) => {
return ['common-patterns', 'test-patterns'];
}
};
}
async createConsciousnessEngine() {
// Placeholder for consciousness engine
return {
analyzeCode: async (sourceCode) => {
return { complexity: 'medium', testability: 'high' };
}
};
}
async createPsychoSymbolicReasoner() {
// Placeholder for reasoning engine
return {
reason: async (query) => {
return { strategy: 'comprehensive', confidence: 0.8 };
}
};
}
async createSublinearCore() {
// Placeholder for sublinear optimization
return {
solve: async (matrix) => {
return { solution: Array.from({ length: matrix.rows }, () => Math.random()) };
}
};
}
async solveSublinear(matrix) {
return {
solution: Array.from({ length: matrix.rows }, () => Math.random()),
iterations: 100,
convergence: true,
convergenceTime: 50
};
}
// Utility methods
generateTestId() {
return `test-${Date.now()}-${Math.random().toString(36).substr(2, 9)}`;
}
generateTestSuiteId() {
return `suite-${Date.now()}-${Math.random().toString(36).substr(2, 9)}`;
}
async extractCodePatterns(sourceCode) {
return ['singleton', 'factory', 'observer'];
}
async analyzeDependencies(sourceCode) {
return [];
}
async assessTestability(sourceCode) {
return 0.8;
}
async identifyRiskFactors(codeAnalysis, complexityMetrics) {
return [
{ type: 'high-complexity', severity: 'medium' },
{ type: 'deep-nesting', severity: 'low' }
];
}
async createTestCaseFromVector(vector, sourceCode, framework) {
// Generate test from vector (simplified)
return {
id: this.generateTestId(),
name: `generated_test_${Math.floor(vector[0] * 1000)}`,
type: types_1.TestType.UNIT,
parameters: [],
assertions: ['// Generated test assertion'],
expectedResult: null,
estimatedDuration: Math.floor(vector[2] * 5000)
};
}
async extractFunctions(sourceCode) {
return [
{ name: 'exampleFunction', parameters: [], complexity: 3 }
];
}
async calculateCyclomaticComplexity(func) {
return func.complexity || 1;
}
async generateParametersFromVector(vector, parameters) {
return [];
}
async predictExpectedResult(func, parameters) {
return null;
}
async generateTestCode(func, parameters, expectedResult) {
return `// Test code for ${func.name}`;
}
calculateTestPriority(func, complexity) {
return Math.min(complexity * 2, 10);
}
estimateTestDuration(func, parameters) {
return 1000; // 1 second
}
async identifyComponents(sourceCode) {
return [{ name: 'ComponentA' }];
}
async generateIntegrationTestCode(component, vector) {
return `// Integration test for ${component.name}`;
}
async generateEdgeCaseTestCode(riskFactor, vector) {
return `// Edge case test for ${riskFactor.type}`;
}
async projectCoverage(tests) {
return 0.85;
}
async calculateRiskMitigation(tests) {
return ['boundary-value-coverage', 'error-path-coverage'];
}
async storeGenerationResults(request, testSuite, generationTime) {
await this.storeMemory('last-generation', {
request,
testSuite: {
id: testSuite.id,
testCount: testSuite.tests.length,
metadata: testSuite.metadata
},
generationTime,
timestamp: new Date()
});
}
async saveGenerationState() {
// Save any learned patterns or improvements
await this.storeSharedMemory('generation-state', {
timestamp: new Date(),
agentId: this.agentId.id
});
}
}
exports.TestGeneratorAgent = TestGeneratorAgent;
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