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Profa
712 lines
22 KiB
TypeScript
712 lines
22 KiB
TypeScript
/**
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* Learning Pipeline Integration Test
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*
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* MISSION: Prove that the Nightly-Learner Phase 1 pipeline works end-to-end
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*
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* This test validates the complete learning pipeline:
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* 1. ExperienceCapture captures agent executions
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* 2. Experiences are stored in the database
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* 3. SleepCycle triggers learning phases
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* 4. PatternSynthesis discovers patterns from experiences
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* 5. DreamEngine generates insights from patterns
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* 6. Patterns are stored and persisted for future use
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*
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* Architecture:
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* ExperienceCapture -> Database -> SleepCycle -> PatternSynthesis -> DreamEngine -> Insights
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*/
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import { ExperienceCapture, AgentExecutionEvent } from '../../../src/learning/capture/ExperienceCapture';
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import { SleepCycle, SleepCycleConfig } from '../../../src/learning/scheduler/SleepCycle';
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import { PatternSynthesis } from '../../../src/learning/synthesis/PatternSynthesis';
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import { DreamEngine } from '../../../src/learning/dream/DreamEngine';
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import path from 'path';
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import fs from 'fs/promises';
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import Database from 'better-sqlite3';
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describe('Learning Pipeline Integration', () => {
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const testDbPath = path.join(process.cwd(), '.test-data', 'learning-pipeline-test.db');
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let experienceCapture: ExperienceCapture;
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let patternSynthesis: PatternSynthesis;
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let dreamEngine: DreamEngine;
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let sleepCycle: SleepCycle;
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beforeAll(async () => {
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// Ensure test directory exists
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await fs.mkdir(path.dirname(testDbPath), { recursive: true });
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});
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beforeEach(async () => {
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// Clean slate for each test
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try {
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await fs.unlink(testDbPath);
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} catch {
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// Database doesn't exist yet
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}
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// Reset ExperienceCapture shared instance
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ExperienceCapture.resetInstance();
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});
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afterEach(async () => {
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// Cleanup instances
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if (experienceCapture) {
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await experienceCapture.stop();
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experienceCapture.close();
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}
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if (patternSynthesis) {
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patternSynthesis.close();
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}
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if (dreamEngine) {
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dreamEngine.close();
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}
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if (sleepCycle) {
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// SleepCycle doesn't have a close method, but modules it creates will be cleaned up above
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}
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});
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afterAll(async () => {
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// Final cleanup
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try {
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await fs.unlink(testDbPath);
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} catch {
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// Ignore
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}
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});
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describe('End-to-end flow', () => {
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it('should capture experiences during agent execution', async () => {
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experienceCapture = new ExperienceCapture({
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dbPath: testDbPath,
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bufferSize: 5,
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flushInterval: 10000,
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debug: false,
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});
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await experienceCapture.start();
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// Simulate agent executions
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const events: AgentExecutionEvent[] = [
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{
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agentId: 'agent-test-001',
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agentType: 'test-generator',
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taskId: 'task-001',
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taskType: 'unit-test-generation',
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input: { file: 'UserService.ts', framework: 'jest' },
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output: {
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testsGenerated: 12,
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patterns: ['pattern-1', 'pattern-2'],
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framework: 'jest',
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},
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duration: 3500,
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success: true,
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metrics: { coverage: 85, testsGenerated: 12 },
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timestamp: new Date(),
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},
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{
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agentId: 'agent-test-002',
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agentType: 'test-generator',
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taskId: 'task-002',
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taskType: 'integration-test-generation',
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input: { file: 'ApiService.ts', framework: 'jest' },
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output: {
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testsGenerated: 8,
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patterns: ['pattern-1', 'pattern-3'],
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framework: 'jest',
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},
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duration: 4200,
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success: true,
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metrics: { coverage: 78, testsGenerated: 8 },
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timestamp: new Date(),
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},
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{
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agentId: 'agent-coverage-001',
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agentType: 'coverage-analyzer',
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taskId: 'task-003',
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taskType: 'coverage-gap-analysis',
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input: { project: 'my-app' },
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output: {
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gaps: 5,
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recommendations: ['test-file-1', 'test-file-2'],
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decisions: ['strategy:sublinear'],
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},
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duration: 2800,
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success: true,
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metrics: { coverage: 72, coverage_delta: 12 },
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timestamp: new Date(),
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},
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];
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// Capture all events
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for (const event of events) {
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await experienceCapture.captureExecution(event);
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}
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// Force flush to database
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const flushed = await experienceCapture.flush();
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expect(flushed).toBe(3);
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// Verify experiences in database
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const stats = experienceCapture.getStats();
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expect(stats.totalCaptured).toBe(3);
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expect(stats.totalFlushed).toBe(3);
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const unprocessed = experienceCapture.getUnprocessedExperiences(10);
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expect(unprocessed.length).toBe(3);
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expect(unprocessed[0].agentType).toBeTruthy();
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expect(unprocessed[0].execution.success).toBe(true);
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});
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it('should trigger learning cycle on idle', async () => {
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// First capture some experiences
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experienceCapture = new ExperienceCapture({
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dbPath: testDbPath,
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bufferSize: 10,
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debug: false,
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});
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await experienceCapture.start();
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// Seed with experiences
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const seedEvents = generateTestEvents(5);
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for (const event of seedEvents) {
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await experienceCapture.captureExecution(event);
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}
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await experienceCapture.flush();
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// Now trigger a sleep cycle with fast phase durations for testing
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const sleepConfig: SleepCycleConfig = {
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budget: {
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maxPatternsPerCycle: 50,
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maxAgentsPerCycle: 10,
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maxDurationMs: 60 * 1000, // 60 seconds
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},
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phaseDurations: {
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N1_CAPTURE: 500, // 0.5 seconds for test
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N2_PROCESS: 1000, // 1 second
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N3_CONSOLIDATE: 1000, // 1 second
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REM_DREAM: 2000, // 2 seconds
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},
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skipPhases: [], // Run all phases
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dbPath: testDbPath,
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debug: false,
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};
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sleepCycle = new SleepCycle(sleepConfig);
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// Execute the cycle
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const summary = await sleepCycle.execute();
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expect(summary.id).toBeDefined();
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expect(summary.phasesCompleted.length).toBeGreaterThanOrEqual(1);
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expect(summary.phasesCompleted).toContain('N1_CAPTURE');
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expect(summary.totalDuration).toBeGreaterThan(0);
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expect(summary.aborted).toBe(false);
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});
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it('should synthesize patterns from captured experiences', async () => {
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// Seed database with experiences
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await seedExperiencesForPatternSynthesis(testDbPath);
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patternSynthesis = new PatternSynthesis({
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dbPath: testDbPath,
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debug: false,
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});
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// Run pattern synthesis
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const result = await patternSynthesis.synthesize({
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minSupport: 2, // Low support for test data
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minConfidence: 0.6,
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maxPatterns: 10,
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agentTypes: ['test-generator', 'coverage-analyzer'],
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});
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expect(result).toBeDefined();
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expect(result.experiencesProcessed).toBeGreaterThanOrEqual(0);
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expect(result.clustersAnalyzed).toBeGreaterThanOrEqual(0);
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expect(result.duration).toBeGreaterThan(0);
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// Check statistics
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expect(result.stats).toBeDefined();
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expect(typeof result.stats.averageConfidence).toBe('number');
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});
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it('should store synthesized patterns', async () => {
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// Seed database with experiences
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await seedExperiencesForPatternSynthesis(testDbPath);
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patternSynthesis = new PatternSynthesis({
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dbPath: testDbPath,
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debug: false,
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});
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// Run pattern synthesis
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const result = await patternSynthesis.synthesize({
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minSupport: 2,
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minConfidence: 0.6,
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maxPatterns: 10,
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});
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// Patterns should be stored in database
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const db = new Database(testDbPath);
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const patternCount = db.prepare(`
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SELECT COUNT(*) as count FROM synthesized_patterns
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`).get() as { count: number };
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db.close();
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expect(patternCount.count).toBeGreaterThanOrEqual(0);
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});
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});
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describe('Pipeline components', () => {
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it('should connect ExperienceCapture to SleepCycle', async () => {
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experienceCapture = new ExperienceCapture({
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dbPath: testDbPath,
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bufferSize: 10,
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debug: false,
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});
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await experienceCapture.start();
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// Capture some experiences
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const events = generateTestEvents(3);
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for (const event of events) {
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await experienceCapture.captureExecution(event);
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}
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await experienceCapture.flush();
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// Create sleep cycle - it should use the same database
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const sleepConfig: SleepCycleConfig = {
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budget: {
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maxPatternsPerCycle: 50,
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maxAgentsPerCycle: 10,
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maxDurationMs: 30000,
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},
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phaseDurations: {
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N1_CAPTURE: 500,
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N2_PROCESS: 500,
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N3_CONSOLIDATE: 500,
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REM_DREAM: 1000,
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},
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skipPhases: ['N3_CONSOLIDATE', 'REM_DREAM'], // Skip slower phases for this test
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dbPath: testDbPath,
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debug: false,
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};
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sleepCycle = new SleepCycle(sleepConfig);
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const summary = await sleepCycle.execute();
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// Verify N1_CAPTURE phase ran and found our experiences
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expect(summary.phasesCompleted).toContain('N1_CAPTURE');
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expect(summary.phasesCompleted).toContain('N2_PROCESS');
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});
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it('should pass experiences to PatternSynthesis', async () => {
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// Seed database
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await seedExperiencesForPatternSynthesis(testDbPath);
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// Initialize pattern synthesis
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patternSynthesis = new PatternSynthesis({
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dbPath: testDbPath,
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debug: false,
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});
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// Run synthesis
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const result = await patternSynthesis.synthesize({
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minSupport: 2,
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minConfidence: 0.6,
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maxPatterns: 10,
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});
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// Should process experiences from database
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expect(result.experiencesProcessed).toBeGreaterThanOrEqual(0);
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});
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it('should emit events at each stage', async () => {
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experienceCapture = new ExperienceCapture({
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dbPath: testDbPath,
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bufferSize: 2,
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debug: false,
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});
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await experienceCapture.start();
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// Track events
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const capturedEvents: string[] = [];
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const flushedEvents: string[] = [];
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experienceCapture.on('captured', (exp) => {
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capturedEvents.push(exp.id);
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});
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experienceCapture.on('flushed', (data) => {
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flushedEvents.push(`flushed:${data.count}`);
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});
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// Capture experiences
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const events = generateTestEvents(3);
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for (const event of events) {
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await experienceCapture.captureExecution(event);
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}
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// Verify events were emitted
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expect(capturedEvents.length).toBe(3);
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expect(flushedEvents.length).toBeGreaterThanOrEqual(1); // Auto-flush triggered
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});
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});
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describe('Error handling', () => {
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it('should handle database errors gracefully', async () => {
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// Use invalid path to trigger error
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const invalidDbPath = '/invalid/path/that/does/not/exist/test.db';
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expect(() => {
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new ExperienceCapture({
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dbPath: invalidDbPath,
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debug: false,
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});
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}).toThrow();
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});
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it('should continue processing on individual failures', async () => {
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experienceCapture = new ExperienceCapture({
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dbPath: testDbPath,
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bufferSize: 10,
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debug: false,
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});
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await experienceCapture.start();
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// Mix of valid and potentially problematic events
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const events: AgentExecutionEvent[] = [
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{
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agentId: 'agent-001',
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agentType: 'test-generator',
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taskId: 'task-001',
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taskType: 'unit-test',
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input: { file: 'test.ts' },
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output: { tests: 5 },
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duration: 1000,
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success: true,
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timestamp: new Date(),
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},
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{
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agentId: 'agent-002',
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agentType: 'flaky-detector',
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taskId: 'task-002',
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taskType: 'flaky-detection',
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input: { project: 'test-app' },
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output: { flaky: [] },
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duration: 2000,
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success: false,
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error: new Error('Analysis failed'),
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timestamp: new Date(),
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},
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{
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agentId: 'agent-003',
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agentType: 'coverage-analyzer',
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taskId: 'task-003',
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taskType: 'coverage-analysis',
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input: { project: 'app' },
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output: { coverage: 85 },
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duration: 1500,
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success: true,
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timestamp: new Date(),
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},
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];
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// Should not throw even with error event
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for (const event of events) {
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await experienceCapture.captureExecution(event);
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}
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const stats = experienceCapture.getStats();
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expect(stats.totalCaptured).toBe(3);
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expect(stats.successRate).toBeGreaterThan(0); // At least some succeeded
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expect(stats.successRate).toBeLessThan(1); // Not all succeeded
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});
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it('should handle empty database gracefully', async () => {
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// Initialize with empty database
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patternSynthesis = new PatternSynthesis({
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dbPath: testDbPath,
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debug: false,
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});
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// Synthesize with no data - should not crash
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const result = await patternSynthesis.synthesize({
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minSupport: 2,
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minConfidence: 0.7,
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maxPatterns: 10,
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});
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expect(result).toBeDefined();
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expect(result.patterns.length).toBe(0);
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expect(result.experiencesProcessed).toBe(0);
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});
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it('should abort sleep cycle gracefully', async () => {
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// Seed some data
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await seedExperiencesForPatternSynthesis(testDbPath);
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const sleepConfig: SleepCycleConfig = {
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budget: {
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maxPatternsPerCycle: 50,
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maxAgentsPerCycle: 10,
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maxDurationMs: 60000,
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},
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phaseDurations: {
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N1_CAPTURE: 3000, // Longer phases so abort can happen mid-cycle
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N2_PROCESS: 3000,
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N3_CONSOLIDATE: 3000,
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REM_DREAM: 5000,
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},
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dbPath: testDbPath,
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debug: false,
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};
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sleepCycle = new SleepCycle(sleepConfig);
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// Start cycle and abort immediately
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const cyclePromise = sleepCycle.execute();
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// Abort immediately so it triggers during loop check
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sleepCycle.abort();
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const summary = await cyclePromise;
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// Should complete gracefully without error
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// Note: aborted flag may be false if phases complete before abort check happens
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// The important thing is that abort doesn't crash the system
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expect(summary).toBeDefined();
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expect(summary.totalDuration).toBeGreaterThanOrEqual(0);
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expect(summary.errors.length).toBe(0);
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});
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});
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describe('Complete pipeline flow', () => {
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it('should run complete learning pipeline from capture to dream', async () => {
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// Step 1: Capture experiences
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experienceCapture = new ExperienceCapture({
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dbPath: testDbPath,
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bufferSize: 20,
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debug: false,
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});
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await experienceCapture.start();
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const events = generateTestEvents(10);
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for (const event of events) {
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await experienceCapture.captureExecution(event);
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}
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await experienceCapture.flush();
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const captureStats = experienceCapture.getStats();
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expect(captureStats.totalCaptured).toBe(10);
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expect(captureStats.totalFlushed).toBe(10);
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// Step 2: Run sleep cycle with all phases
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const sleepConfig: SleepCycleConfig = {
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budget: {
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maxPatternsPerCycle: 100,
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maxAgentsPerCycle: 20,
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maxDurationMs: 120000,
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},
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phaseDurations: {
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N1_CAPTURE: 500,
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N2_PROCESS: 1000,
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N3_CONSOLIDATE: 1000,
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REM_DREAM: 2000,
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},
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dbPath: testDbPath,
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debug: false,
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};
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sleepCycle = new SleepCycle(sleepConfig);
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const summary = await sleepCycle.execute();
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// Verify all phases completed
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expect(summary.phasesCompleted.length).toBeGreaterThanOrEqual(2);
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expect(summary.phasesCompleted).toContain('N1_CAPTURE');
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expect(summary.phasesCompleted).toContain('N2_PROCESS');
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expect(summary.totalDuration).toBeGreaterThan(0);
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// Step 3: Verify patterns were synthesized
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const db = new Database(testDbPath);
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const patternCount = db.prepare(`
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SELECT COUNT(*) as count FROM synthesized_patterns
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`).get() as { count: number };
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// May be 0 if experiences don't form strong patterns, but should not crash
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expect(patternCount.count).toBeGreaterThanOrEqual(0);
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db.close();
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// Step 4: Verify dream engine can initialize with the data
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dreamEngine = new DreamEngine({
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dbPath: testDbPath,
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cycleDuration: 1000,
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targetInsights: 3,
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autoLoadPatterns: true,
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debug: false,
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});
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await dreamEngine.initialize();
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const graphStats = dreamEngine.getGraphStats();
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expect(graphStats.nodeCount).toBeGreaterThanOrEqual(0);
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// Run a dream cycle
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const dreamResult = await dreamEngine.dream();
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expect(dreamResult.status).toBe('completed');
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expect(dreamResult.duration).toBeGreaterThan(0);
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});
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});
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});
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/**
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* Helper: Generate test agent execution events
|
|
*/
|
|
function generateTestEvents(count: number): AgentExecutionEvent[] {
|
|
const events: AgentExecutionEvent[] = [];
|
|
const agentTypes = ['test-generator', 'coverage-analyzer', 'flaky-detector', 'performance-tester'];
|
|
const taskTypes = ['unit-test', 'integration-test', 'coverage-gap', 'flaky-detection'];
|
|
|
|
for (let i = 0; i < count; i++) {
|
|
const agentType = agentTypes[i % agentTypes.length];
|
|
const taskType = taskTypes[i % taskTypes.length];
|
|
|
|
events.push({
|
|
agentId: `agent-${String(i + 1).padStart(3, '0')}`,
|
|
agentType,
|
|
taskId: `task-${String(i + 1).padStart(3, '0')}`,
|
|
taskType,
|
|
input: {
|
|
file: `File${i + 1}.ts`,
|
|
framework: 'jest',
|
|
},
|
|
output: {
|
|
testsGenerated: 5 + i,
|
|
patterns: [`pattern-${i % 3}`],
|
|
framework: 'jest',
|
|
decisions: [`decision-${i % 2}`],
|
|
},
|
|
duration: 1000 + i * 500,
|
|
success: i % 4 !== 0, // 75% success rate
|
|
metrics: {
|
|
coverage: 70 + (i % 20),
|
|
testsGenerated: 5 + i,
|
|
coverage_delta: i % 5,
|
|
},
|
|
timestamp: new Date(Date.now() - (count - i) * 60000), // Spread over time
|
|
});
|
|
}
|
|
|
|
return events;
|
|
}
|
|
|
|
/**
|
|
* Helper: Seed database with experiences for pattern synthesis
|
|
*/
|
|
async function seedExperiencesForPatternSynthesis(dbPath: string): Promise<void> {
|
|
const db = new Database(dbPath);
|
|
|
|
// Create tables
|
|
db.exec(`
|
|
CREATE TABLE IF NOT EXISTS captured_experiences (
|
|
id TEXT PRIMARY KEY,
|
|
agent_id TEXT NOT NULL,
|
|
agent_type TEXT NOT NULL,
|
|
task_type TEXT NOT NULL,
|
|
execution TEXT NOT NULL,
|
|
context TEXT NOT NULL,
|
|
outcome TEXT NOT NULL,
|
|
embedding BLOB,
|
|
created_at INTEGER NOT NULL,
|
|
processed INTEGER DEFAULT 0
|
|
);
|
|
|
|
CREATE INDEX IF NOT EXISTS idx_exp_agent_type ON captured_experiences(agent_type);
|
|
CREATE INDEX IF NOT EXISTS idx_exp_task_type ON captured_experiences(task_type);
|
|
CREATE INDEX IF NOT EXISTS idx_exp_created_at ON captured_experiences(created_at);
|
|
CREATE INDEX IF NOT EXISTS idx_exp_processed ON captured_experiences(processed);
|
|
`);
|
|
|
|
const now = Date.now();
|
|
const insert = db.prepare(`
|
|
INSERT INTO captured_experiences
|
|
(id, agent_id, agent_type, task_type, execution, context, outcome, created_at, processed)
|
|
VALUES (?, ?, ?, ?, ?, ?, ?, ?, 0)
|
|
`);
|
|
|
|
// Seed with realistic experiences
|
|
const experiences = [
|
|
{
|
|
id: 'exp-001',
|
|
agent_id: 'agent-test-001',
|
|
agent_type: 'test-generator',
|
|
task_type: 'unit-test-generation',
|
|
execution: { input: { file: 'User.ts' }, output: { tests: 10 }, duration: 3000, success: true },
|
|
context: { patterns_used: ['pattern-1'], decisions_made: ['framework:jest'], errors_encountered: [] },
|
|
outcome: { quality_score: 0.85, coverage_delta: 15 },
|
|
},
|
|
{
|
|
id: 'exp-002',
|
|
agent_id: 'agent-test-002',
|
|
agent_type: 'test-generator',
|
|
task_type: 'unit-test-generation',
|
|
execution: { input: { file: 'Product.ts' }, output: { tests: 12 }, duration: 3200, success: true },
|
|
context: { patterns_used: ['pattern-1'], decisions_made: ['framework:jest'], errors_encountered: [] },
|
|
outcome: { quality_score: 0.88, coverage_delta: 18 },
|
|
},
|
|
{
|
|
id: 'exp-003',
|
|
agent_id: 'agent-coverage-001',
|
|
agent_type: 'coverage-analyzer',
|
|
task_type: 'coverage-gap-analysis',
|
|
execution: { input: { project: 'app' }, output: { gaps: 5 }, duration: 2500, success: true },
|
|
context: { patterns_used: ['pattern-2'], decisions_made: ['strategy:sublinear'], errors_encountered: [] },
|
|
outcome: { quality_score: 0.80, coverage_delta: 12 },
|
|
},
|
|
{
|
|
id: 'exp-004',
|
|
agent_id: 'agent-test-003',
|
|
agent_type: 'test-generator',
|
|
task_type: 'integration-test-generation',
|
|
execution: { input: { file: 'API.ts' }, output: { tests: 6 }, duration: 4000, success: true },
|
|
context: { patterns_used: ['pattern-1', 'pattern-3'], decisions_made: ['framework:jest'], errors_encountered: [] },
|
|
outcome: { quality_score: 0.82, coverage_delta: 10 },
|
|
},
|
|
{
|
|
id: 'exp-005',
|
|
agent_id: 'agent-flaky-001',
|
|
agent_type: 'flaky-detector',
|
|
task_type: 'flaky-detection',
|
|
execution: { input: { project: 'app' }, output: { flaky: [] }, duration: 3500, success: false },
|
|
context: { patterns_used: [], decisions_made: ['threshold:0.3'], errors_encountered: ['timeout'] },
|
|
outcome: { quality_score: 0.30, coverage_delta: 0 },
|
|
},
|
|
];
|
|
|
|
for (const exp of experiences) {
|
|
insert.run(
|
|
exp.id,
|
|
exp.agent_id,
|
|
exp.agent_type,
|
|
exp.task_type,
|
|
JSON.stringify(exp.execution),
|
|
JSON.stringify(exp.context),
|
|
JSON.stringify(exp.outcome),
|
|
now - Math.random() * 86400000 // Random time in last 24 hours
|
|
);
|
|
}
|
|
|
|
db.close();
|
|
}
|