mirror of
https://github.com/proffesor-for-testing/agentic-qe.git
synced 2026-09-19 08:45:47 +08:00
c3b342a03a
## Summary Successfully fixed all initialization issues and completed Phase 2 integration: - Fixed agent template discovery and copying (18 agents now copy correctly) - Added comprehensive logging throughout init process - Fixed undefined config property serialization bug - All databases initialize correctly (memory.db, patterns.db) - Phase 2 features (learning, patterns, improvement) fully functional ## Bug Fixes 1. **Agent Copy Bug**: Changed from directory copy to individual file copy - Fixed: "Copied 0 agent definitions" → Now copies all 18 agents - Issue: fs.copy with filter wasn't working, changed to per-file copy 2. **Missing Agent**: Created qe-quality-analyzer.md - Was the only missing agent out of 17 required QE agents - Added complete agent definition with AQE hooks integration 3. **Incomplete Fallback**: Updated fallback from 6 to all 17 agents - Ensures all agents are created even if templates not found - Maintains feature parity in all scenarios 4. **Serialization Bug**: Added sanitizeConfig() helper - Fixed: "Cannot read properties of undefined (reading 'replace')" - Issue: jsonfile couldn't serialize config with undefined properties - Solution: Recursive sanitization removes undefined values before write 5. **Config Path Bug**: Fixed target vs source file list confusion - Was passing source files to createMissingAgents instead of target - Now correctly identifies which agents are missing in target ## Improvements - Added detailed path discovery logging with ✓/✗ checkmarks - Show agent template counts and copy progress - Log each config file write with file paths - Added stack traces to all error handlers (removed verbose-only check) - Created sanitizeConfig for robust JSON serialization ## Testing Verified in test project `/tmp/aqe-test-final`: ✅ All 17 QE agents created ✅ memory.db created (221KB, 12 tables) ✅ patterns.db created (155KB, 4 tables + FTS) ✅ All Phase 2 configs written successfully ✅ Complete initialization with no errors ## Phase 2 Features Confirmed Working - Learning System: Q-learning (lr=0.1, γ=0.95, 20% target) - Pattern Bank: 85% confidence, extraction enabled - Improvement Loop: 1hr cycles, A/B testing, manual approval ## Files Changed - .claude/agents/qe-quality-analyzer.md (NEW) - src/cli/commands/init.ts (MAJOR FIXES) - copyAgentTemplates(): Individual file copy, better logging - createBasicAgents(): All 17 agents - createMissingAgents(): Fixed file list bug - writeFleetConfig(): Added sanitization - sanitizeConfig(): NEW helper for undefined removal - src/learning/* (NEW - 9 files) - src/reasoning/* (NEW - 8 files) - tests/* (NEW - 30+ test files) - docs/* (NEW - 60+ documentation files) ## Breaking Changes None - all changes are internal improvements ## Migration No migration needed - initialization now works correctly 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
495 lines
16 KiB
TypeScript
495 lines
16 KiB
TypeScript
/**
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* Phase 2 MCP Tool Integration Tests
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*
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* Tests that Phase 2 MCP tools work correctly with the AQE system:
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* - Learning Engine MCP tools
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* - Pattern Management MCP tools
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* - Improvement Loop MCP tools
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* - Cross-tool coordination
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*
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* @module tests/integration/phase2/phase2-mcp-integration
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*/
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import { describe, it, expect, beforeEach, afterEach } from '@jest/globals';
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import { MCPToolRegistry } from '../../../src/mcp/MCPToolRegistry';
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import { LearningEngine } from '../../../src/learning/LearningEngine';
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import { QEReasoningBank } from '../../../src/reasoning/QEReasoningBank';
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import { ImprovementLoop } from '../../../src/learning/ImprovementLoop';
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import { SwarmMemoryManager } from '../../../src/core/memory/SwarmMemoryManager';
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describe('Phase 2 MCP Tool Integration Tests', () => {
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let toolRegistry: MCPToolRegistry;
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let memoryManager: SwarmMemoryManager;
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beforeEach(async () => {
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toolRegistry = new MCPToolRegistry();
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memoryManager = new SwarmMemoryManager();
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await memoryManager.clear('coordination');
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});
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afterEach(async () => {
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await memoryManager.clear('coordination');
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});
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// ===========================================================================
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// Learning Engine MCP Tools
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// ===========================================================================
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describe('Learning Engine MCP Tools', () => {
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it('should get learning status via MCP tool', async () => {
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const result = await toolRegistry.callTool('learning_status', {
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agentId: 'test-agent-1'
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});
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expect(result).toBeDefined();
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expect(result.status).toBeDefined();
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expect(result.agentId).toBe('test-agent-1');
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expect(result.totalExperiences).toBeGreaterThanOrEqual(0);
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}, 10000);
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it('should record learning experience via MCP tool', async () => {
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const result = await toolRegistry.callTool('learning_record', {
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agentId: 'test-agent-2',
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experience: {
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taskId: 'task-1',
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outcome: 'success',
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quality: 0.92,
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metadata: {
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framework: 'jest',
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complexity: 3
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}
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}
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});
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expect(result).toBeDefined();
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expect(result.success).toBe(true);
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expect(result.experienceId).toBeDefined();
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}, 10000);
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it('should train learning engine via MCP tool', async () => {
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// First, record some experiences
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for (let i = 0; i < 10; i++) {
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await toolRegistry.callTool('learning_record', {
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agentId: 'train-agent',
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experience: {
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taskId: `task-${i}`,
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outcome: 'success',
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quality: 0.8 + (i * 0.02),
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metadata: {
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framework: 'jest',
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complexity: 2 + (i % 3)
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}
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}
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});
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}
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const result = await toolRegistry.callTool('learning_train', {
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agentId: 'train-agent',
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iterations: 5
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});
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expect(result).toBeDefined();
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expect(result.success).toBe(true);
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expect(result.improved).toBe(true);
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expect(result.newQuality).toBeGreaterThan(0.8);
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}, 15000);
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it('should get learning insights via MCP tool', async () => {
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const result = await toolRegistry.callTool('learning_insights', {
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agentId: 'insight-agent',
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timeframe: 30 // days
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});
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expect(result).toBeDefined();
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expect(result.trends).toBeDefined();
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expect(result.recommendations).toBeDefined();
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expect(result.recommendations.length).toBeGreaterThan(0);
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}, 10000);
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it('should apply learning to generate recommendations', async () => {
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const result = await toolRegistry.callTool('learning_apply', {
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agentId: 'apply-agent',
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context: {
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framework: 'jest',
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language: 'typescript',
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complexity: 3
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}
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});
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expect(result).toBeDefined();
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expect(result.recommendations).toBeDefined();
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expect(result.expectedQuality).toBeGreaterThan(0);
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expect(result.confidence).toBeGreaterThan(0);
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}, 10000);
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});
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// ===========================================================================
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// Pattern Management MCP Tools
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// ===========================================================================
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describe('Pattern Management MCP Tools', () => {
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it('should store pattern via MCP tool', async () => {
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const result = await toolRegistry.callTool('pattern_store', {
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pattern: {
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id: 'mcp-pattern-1',
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name: 'MCP Test Pattern',
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category: 'unit',
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framework: 'jest',
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language: 'typescript',
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description: 'Pattern created via MCP tool',
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template: 'describe("{{name}}", () => { ... });',
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applicability: {
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complexity: 'medium',
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context: ['testing', 'unit'],
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constraints: []
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},
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metrics: {
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successRate: 0.90,
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usageCount: 0,
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averageQuality: 0,
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lastUsed: new Date()
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},
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tags: ['mcp', 'test'],
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metadata: { source: 'mcp-tool' }
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}
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});
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expect(result).toBeDefined();
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expect(result.success).toBe(true);
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expect(result.patternId).toBe('mcp-pattern-1');
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}, 10000);
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it('should find patterns via MCP tool', async () => {
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// First store some patterns
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await toolRegistry.callTool('pattern_store', {
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pattern: {
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id: 'find-pattern-1',
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name: 'User CRUD Pattern',
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category: 'integration',
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framework: 'jest',
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language: 'typescript',
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description: 'User service CRUD operations',
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template: '...',
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applicability: { complexity: 'medium', context: ['database'], constraints: [] },
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metrics: { successRate: 0.92, usageCount: 0, averageQuality: 0, lastUsed: new Date() },
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tags: ['crud', 'user'],
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metadata: {}
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}
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});
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const result = await toolRegistry.callTool('pattern_find', {
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query: {
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framework: 'jest',
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language: 'typescript',
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keywords: ['user', 'crud']
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},
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limit: 10
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});
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expect(result).toBeDefined();
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expect(result.patterns).toBeDefined();
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expect(result.patterns.length).toBeGreaterThan(0);
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expect(result.patterns[0].pattern.name).toContain('User');
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}, 10000);
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it('should get pattern statistics via MCP tool', async () => {
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const result = await toolRegistry.callTool('pattern_stats', {});
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expect(result).toBeDefined();
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expect(result.totalPatterns).toBeGreaterThanOrEqual(0);
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expect(result.byFramework).toBeDefined();
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expect(result.byCategory).toBeDefined();
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expect(result.byLanguage).toBeDefined();
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}, 10000);
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it('should update pattern metrics via MCP tool', async () => {
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// Store pattern first
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await toolRegistry.callTool('pattern_store', {
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pattern: {
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id: 'update-pattern-1',
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name: 'Update Test Pattern',
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category: 'unit',
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framework: 'jest',
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language: 'typescript',
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description: 'Pattern for testing updates',
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template: '...',
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applicability: { complexity: 'low', context: [], constraints: [] },
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metrics: { successRate: 0.80, usageCount: 0, averageQuality: 0, lastUsed: new Date() },
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tags: ['update'],
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metadata: {}
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}
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});
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const result = await toolRegistry.callTool('pattern_update_metrics', {
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patternId: 'update-pattern-1',
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success: true,
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quality: 0.95
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});
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expect(result).toBeDefined();
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expect(result.success).toBe(true);
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expect(result.newMetrics.usageCount).toBe(1);
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expect(result.newMetrics.averageQuality).toBeGreaterThan(0);
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}, 10000);
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it('should extract patterns from code via MCP tool', async () => {
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const code = `
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describe('PaymentService', () => {
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it('processes payment', async () => {
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const service = new PaymentService();
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const result = await service.process({ amount: 100 });
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expect(result.status).toBe('success');
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});
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});
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`;
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const result = await toolRegistry.callTool('pattern_extract', {
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code,
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options: {
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framework: 'jest',
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language: 'typescript'
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}
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});
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expect(result).toBeDefined();
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expect(result.patterns).toBeDefined();
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expect(result.patterns.length).toBeGreaterThan(0);
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expect(result.patterns[0].name).toBeDefined();
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}, 10000);
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});
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// ===========================================================================
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// Improvement Loop MCP Tools
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// ===========================================================================
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describe('Improvement Loop MCP Tools', () => {
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it('should get improvement status via MCP tool', async () => {
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const result = await toolRegistry.callTool('improvement_status', {
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agentId: 'improve-agent-1'
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});
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expect(result).toBeDefined();
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expect(result.agentId).toBe('improve-agent-1');
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expect(result.targetImprovement).toBeDefined();
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expect(result.currentImprovement).toBeDefined();
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expect(result.targetReached).toBeDefined();
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}, 10000);
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it('should run improvement cycle via MCP tool', async () => {
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const result = await toolRegistry.callTool('improvement_cycle', {
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agentId: 'cycle-agent-1',
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iterations: 3
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});
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expect(result).toBeDefined();
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expect(result.success).toBe(true);
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expect(result.cyclesRun).toBe(3);
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expect(result.improvement).toBeGreaterThanOrEqual(0);
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}, 15000);
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it('should set improvement target via MCP tool', async () => {
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const result = await toolRegistry.callTool('improvement_set_target', {
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agentId: 'target-agent-1',
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target: 0.25 // 25% improvement
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});
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expect(result).toBeDefined();
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expect(result.success).toBe(true);
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expect(result.targetImprovement).toBe(0.25);
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}, 10000);
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it('should validate improvement achievement via MCP tool', async () => {
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const result = await toolRegistry.callTool('improvement_validate', {
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agentId: 'validate-agent-1'
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});
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expect(result).toBeDefined();
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expect(result.targetReached).toBeDefined();
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expect(result.improvementRate).toBeDefined();
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expect(result.cyclesRequired).toBeDefined();
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}, 10000);
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it('should analyze improvement opportunities via MCP tool', async () => {
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const result = await toolRegistry.callTool('improvement_analyze', {
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agentId: 'analyze-agent-1',
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timeframe: 30
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});
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expect(result).toBeDefined();
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expect(result.opportunities).toBeDefined();
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expect(result.recommendations).toBeDefined();
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expect(result.estimatedImpact).toBeDefined();
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}, 10000);
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});
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// ===========================================================================
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// Cross-Tool Coordination
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// ===========================================================================
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describe('Cross-Tool Coordination', () => {
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it('should coordinate learning → pattern storage → improvement', async () => {
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// Step 1: Record learning experience
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const learnResult = await toolRegistry.callTool('learning_record', {
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agentId: 'coord-agent-1',
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experience: {
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taskId: 'coord-task-1',
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outcome: 'success',
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quality: 0.95,
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metadata: {
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framework: 'jest',
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pattern: 'unit-test'
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}
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}
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});
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expect(learnResult.success).toBe(true);
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// Step 2: Store successful pattern
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const patternResult = await toolRegistry.callTool('pattern_store', {
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pattern: {
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id: 'coord-pattern-1',
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name: 'Coordinated Pattern',
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category: 'unit',
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framework: 'jest',
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language: 'typescript',
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description: 'Pattern from coordinated workflow',
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template: '...',
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applicability: { complexity: 'medium', context: [], constraints: [] },
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metrics: { successRate: 0.95, usageCount: 0, averageQuality: 0, lastUsed: new Date() },
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tags: ['coordinated'],
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metadata: { experienceId: learnResult.experienceId }
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}
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});
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expect(patternResult.success).toBe(true);
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// Step 3: Run improvement cycle
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const improveResult = await toolRegistry.callTool('improvement_cycle', {
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agentId: 'coord-agent-1',
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iterations: 1
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});
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expect(improveResult.success).toBe(true);
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}, 20000);
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it('should share data between MCP tools via memory', async () => {
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// Tool 1: Store learning data
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await toolRegistry.callTool('learning_record', {
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agentId: 'shared-agent',
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experience: {
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taskId: 'shared-task',
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outcome: 'success',
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quality: 0.90,
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metadata: { key: 'value' }
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}
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});
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// Tool 2: Retrieve via pattern tool
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const patterns = await toolRegistry.callTool('pattern_find', {
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query: { framework: 'jest' }
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});
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// Tool 3: Use in improvement analysis
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const improvement = await toolRegistry.callTool('improvement_analyze', {
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agentId: 'shared-agent'
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});
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expect(patterns).toBeDefined();
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expect(improvement).toBeDefined();
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}, 15000);
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it('should handle concurrent MCP tool calls', async () => {
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const promises = [];
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// Call multiple tools concurrently
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for (let i = 0; i < 10; i++) {
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promises.push(
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toolRegistry.callTool('learning_record', {
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agentId: `concurrent-agent-${i}`,
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experience: {
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taskId: `concurrent-task-${i}`,
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outcome: 'success',
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quality: 0.85,
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metadata: {}
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}
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})
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);
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}
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const results = await Promise.all(promises);
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expect(results).toHaveLength(10);
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results.forEach(r => {
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expect(r.success).toBe(true);
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});
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}, 20000);
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});
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// ===========================================================================
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// Error Handling and Validation
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// ===========================================================================
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describe('MCP Tool Error Handling', () => {
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it('should handle invalid tool name gracefully', async () => {
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await expect(async () => {
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await toolRegistry.callTool('invalid_tool_name', {});
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}).rejects.toThrow(/not found|invalid/i);
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}, 10000);
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it('should validate required parameters', async () => {
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await expect(async () => {
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await toolRegistry.callTool('learning_record', {});
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}).rejects.toThrow(/required|missing/i);
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}, 10000);
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it('should handle invalid data types', async () => {
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await expect(async () => {
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await toolRegistry.callTool('learning_record', {
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agentId: 123, // Should be string
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experience: 'invalid'
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});
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}).rejects.toThrow(/type|invalid/i);
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}, 10000);
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});
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// ===========================================================================
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// Performance Validation
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// ===========================================================================
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describe('MCP Tool Performance', () => {
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it('should execute tools within performance targets', async () => {
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const tools = [
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{ name: 'learning_status', params: { agentId: 'perf-agent' }, target: 100 },
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{ name: 'pattern_stats', params: {}, target: 50 },
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{ name: 'improvement_status', params: { agentId: 'perf-agent' }, target: 100 }
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];
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for (const tool of tools) {
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const start = performance.now();
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await toolRegistry.callTool(tool.name, tool.params);
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const elapsed = performance.now() - start;
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console.log(`${tool.name}: ${elapsed.toFixed(2)}ms (target: <${tool.target}ms)`);
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expect(elapsed).toBeLessThan(tool.target);
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}
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}, 20000);
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it('should handle high-throughput MCP calls', async () => {
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const callCount = 100;
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const start = performance.now();
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const promises = Array.from({ length: callCount }, (_, i) =>
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toolRegistry.callTool('learning_status', { agentId: `agent-${i}` })
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);
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await Promise.all(promises);
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const elapsed = performance.now() - start;
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const avgPerCall = elapsed / callCount;
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console.log(`Processed ${callCount} calls in ${elapsed.toFixed(2)}ms (avg: ${avgPerCall.toFixed(2)}ms/call)`);
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expect(avgPerCall).toBeLessThan(50); // <50ms average per call
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}, 30000);
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});
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});
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