mirror of
https://github.com/proffesor-for-testing/agentic-qe.git
synced 2026-09-19 08:45:47 +08:00
a80fec1be9
## Summary Phase 3 implementation complete with QUIC transport and Neural training as prototype. Performance targets MET (67.7% faster), but critical issues prevent production deployment. ## Components Added ### QUIC Transport (4 files, ~2,300 LOC) - src/types/quic.ts - Type definitions - src/core/transport/QUICTransport.ts - Transport layer - src/core/memory/AgentDBIntegration.ts - Memory integration - src/agents/mixins/QUICCapableMixin.ts - Agent integration ### Neural Training (4 files, ~2,300 LOC) - src/learning/NeuralPatternMatcher.ts - Neural network - src/learning/NeuralTrainer.ts - Training pipeline - src/agents/mixins/NeuralCapableMixin.ts - Agent integration - config/neural-agent.config.ts - Configuration ### Agent Updates (3 files, ~420 LOC) - src/agents/BaseAgent.ts - QUIC + Neural support - src/agents/TestGeneratorAgent.ts - Neural predictions - src/core/memory/SwarmMemoryManager.ts - QUIC integration ### Tests (13 files, ~5,100 LOC) - QUIC: 106 tests (56 passing, 50 infrastructure issues) - Neural: 68 tests (55 passing, 13 accuracy issues) - Coverage: 0.59% (infrastructure prevents proper collection) ### Documentation (21 files, ~15,000 lines) - Complete architecture documentation - 30+ architectural diagrams - Comprehensive usage guides - Code review reports - Performance benchmarks ### Configuration - .agentic-qe/config/fleet.json - Fixed agents array (5 agents) - .agentic-qe/config/transport.json - QUIC configuration - .agentic-qe/config/routing.json - Phase 3 feature flags ## Performance Results ✅ QUIC Transport (TARGETS EXCEEDED): - 67.7% faster than TCP (target: 50-70%) - 6.23ms connection time (target: <50ms) - 2.03ms message latency (target: <100ms) ⚠️ Neural Training (BELOW TARGET): - 65% accuracy (target: 85%) - <100ms prediction time (target: <100ms) ✅ - <1s training time (target: <5s) ✅ ❌ Test Coverage (CRITICAL GAP): - 0.59% coverage (target: 80%) - Infrastructure issues prevent proper test execution ## Critical Issues (BLOCKERS) 🔴 Security Vulnerabilities: 1. Self-signed certificates in production code 2. Disabled certificate validation (rejectUnauthorized: false) 🟡 Implementation Issues: 3. QUIC not actually implemented (UDP only, not real QUIC protocol) 4. Neural accuracy insufficient (65% vs 85%) 5. Memory leaks in resource cleanup ## Status Phase 3 Status: 🟡 PROTOTYPE COMPLETE - NOT PRODUCTION READY Production Readiness: 70% - Phase 1-2: 100% stable, 86% test pass rate ✅ - Phase 3: 70% prototype, requires 5-6 weeks hardening ⚠️ ## Feature Flags (DISABLED BY DEFAULT) All Phase 3 features are opt-in: - quicEnabled: false (default) - neuralEnabled: false (default) - Zero impact on existing functionality ## Recommendation ⭐ POSTPONE PHASE 3: - Ship stable Phase 1-2 now - Gather user feedback - Revisit Phase 3 based on actual needs OR allocate 5-6 weeks with 2-3 engineers for production hardening. ## Files Changed - Added: 32 source files (~11,000 LOC) - Added: 13 test files (~5,100 LOC) - Added: 21 documentation files (~15,000 lines) - Updated: 4 configuration files - Updated: 3 agent files Total: 73 files, +31,100 insertions 🤖 Generated with Agentic QE Fleet v1.1.0 Phase 3 Swarm: 11 specialized agents (system-architect, backend-dev, ml-developer, coder x3, tester x2, qe-coverage-analyzer, reviewer) Co-Authored-By: Claude <noreply@anthropic.com>
198 lines
5.1 KiB
TypeScript
198 lines
5.1 KiB
TypeScript
/**
|
|
* Neural Agent Configuration
|
|
*
|
|
* Centralized configuration for neural capabilities across QE agents.
|
|
* Enable/disable neural features per agent type with custom settings.
|
|
*/
|
|
|
|
import { NeuralConfig } from '../src/agents/mixins/NeuralCapableMixin';
|
|
import { QEAgentType } from '../src/types';
|
|
|
|
export interface AgentNeuralConfig {
|
|
[agentType: string]: Partial<NeuralConfig> & {
|
|
priority?: number; // Higher priority agents get better models
|
|
};
|
|
}
|
|
|
|
/**
|
|
* Default neural configuration for all agents
|
|
*/
|
|
export const DEFAULT_AGENT_NEURAL_CONFIG: Partial<NeuralConfig> = {
|
|
enabled: false, // Opt-in by default
|
|
model: 'default',
|
|
confidence: 0.70,
|
|
cacheEnabled: true,
|
|
cacheTTL: 5 * 60 * 1000, // 5 minutes
|
|
maxCacheSize: 1000,
|
|
fallbackEnabled: true
|
|
};
|
|
|
|
/**
|
|
* Agent-specific neural configurations
|
|
* Enables neural features for high-value agents
|
|
*/
|
|
export const AGENT_NEURAL_CONFIGS: AgentNeuralConfig = {
|
|
// P1 Agents - Enable neural with high confidence
|
|
[QEAgentType.TEST_GENERATOR]: {
|
|
enabled: false, // Opt-in via flag
|
|
model: 'default',
|
|
confidence: 0.75,
|
|
cacheEnabled: true,
|
|
cacheTTL: 10 * 60 * 1000, // 10 minutes (test patterns change slowly)
|
|
maxCacheSize: 2000,
|
|
priority: 100
|
|
},
|
|
|
|
[QEAgentType.COVERAGE_ANALYZER]: {
|
|
enabled: false,
|
|
model: 'default',
|
|
confidence: 0.80, // Higher confidence for coverage gaps
|
|
cacheEnabled: true,
|
|
cacheTTL: 5 * 60 * 1000,
|
|
maxCacheSize: 1500,
|
|
priority: 90
|
|
},
|
|
|
|
[QEAgentType.FLAKY_TEST_HUNTER]: {
|
|
enabled: false,
|
|
model: 'default',
|
|
confidence: 0.70, // More sensitive for flaky detection
|
|
cacheEnabled: true,
|
|
cacheTTL: 3 * 60 * 1000, // 3 minutes (flakiness changes frequently)
|
|
maxCacheSize: 1000,
|
|
priority: 95
|
|
},
|
|
|
|
[QEAgentType.REGRESSION_RISK_ANALYZER]: {
|
|
enabled: false,
|
|
model: 'default',
|
|
confidence: 0.82, // High confidence for risk scoring
|
|
cacheEnabled: true,
|
|
cacheTTL: 5 * 60 * 1000,
|
|
maxCacheSize: 1200,
|
|
priority: 85
|
|
},
|
|
|
|
// P2 Agents - Lower priority, conservative settings
|
|
[QEAgentType.TEST_EXECUTOR]: {
|
|
enabled: false,
|
|
confidence: 0.75,
|
|
cacheEnabled: true,
|
|
priority: 50
|
|
},
|
|
|
|
[QEAgentType.QUALITY_ANALYZER]: {
|
|
enabled: false,
|
|
confidence: 0.78,
|
|
cacheEnabled: true,
|
|
priority: 60
|
|
}
|
|
};
|
|
|
|
/**
|
|
* Get neural configuration for a specific agent type
|
|
*/
|
|
export function getNeuralConfigForAgent(agentType: QEAgentType | string): Partial<NeuralConfig> {
|
|
const agentConfig = AGENT_NEURAL_CONFIGS[agentType];
|
|
|
|
if (!agentConfig) {
|
|
return { ...DEFAULT_AGENT_NEURAL_CONFIG };
|
|
}
|
|
|
|
return {
|
|
...DEFAULT_AGENT_NEURAL_CONFIG,
|
|
...agentConfig
|
|
};
|
|
}
|
|
|
|
/**
|
|
* Enable neural features globally (opt-in activation)
|
|
*/
|
|
export function enableAllNeuralFeatures(): AgentNeuralConfig {
|
|
const enabled: AgentNeuralConfig = {};
|
|
|
|
for (const [agentType, config] of Object.entries(AGENT_NEURAL_CONFIGS)) {
|
|
enabled[agentType] = {
|
|
...config,
|
|
enabled: true
|
|
};
|
|
}
|
|
|
|
return enabled;
|
|
}
|
|
|
|
/**
|
|
* Neural feature flags for granular control
|
|
*/
|
|
export interface NeuralFeatureFlags {
|
|
testGeneration: boolean; // Neural-powered test suggestions
|
|
coverageGapPrediction: boolean; // Predict coverage gaps
|
|
flakinessDetection: boolean; // Enhanced flaky test detection
|
|
riskScoring: boolean; // Neural risk scoring
|
|
patternMatching: boolean; // Pattern-based optimizations
|
|
adaptiveLearning: boolean; // Continuous improvement
|
|
}
|
|
|
|
export const DEFAULT_NEURAL_FEATURE_FLAGS: NeuralFeatureFlags = {
|
|
testGeneration: false,
|
|
coverageGapPrediction: false,
|
|
flakinessDetection: false,
|
|
riskScoring: false,
|
|
patternMatching: false,
|
|
adaptiveLearning: false
|
|
};
|
|
|
|
/**
|
|
* Environment-based configuration
|
|
*/
|
|
export function getNeuralConfigForEnvironment(env: string = process.env.NODE_ENV || 'development'): {
|
|
agentConfigs: AgentNeuralConfig;
|
|
featureFlags: NeuralFeatureFlags;
|
|
} {
|
|
switch (env) {
|
|
case 'production':
|
|
// Conservative in production - opt-in only
|
|
return {
|
|
agentConfigs: AGENT_NEURAL_CONFIGS,
|
|
featureFlags: DEFAULT_NEURAL_FEATURE_FLAGS
|
|
};
|
|
|
|
case 'staging':
|
|
// Enable for high-priority agents in staging
|
|
return {
|
|
agentConfigs: {
|
|
...AGENT_NEURAL_CONFIGS,
|
|
[QEAgentType.TEST_GENERATOR]: {
|
|
...AGENT_NEURAL_CONFIGS[QEAgentType.TEST_GENERATOR],
|
|
enabled: true
|
|
},
|
|
[QEAgentType.FLAKY_TEST_HUNTER]: {
|
|
...AGENT_NEURAL_CONFIGS[QEAgentType.FLAKY_TEST_HUNTER],
|
|
enabled: true
|
|
}
|
|
},
|
|
featureFlags: {
|
|
...DEFAULT_NEURAL_FEATURE_FLAGS,
|
|
testGeneration: true,
|
|
flakinessDetection: true
|
|
}
|
|
};
|
|
|
|
case 'development':
|
|
case 'test':
|
|
default:
|
|
// Enable all features in development/test
|
|
return {
|
|
agentConfigs: enableAllNeuralFeatures(),
|
|
featureFlags: {
|
|
testGeneration: true,
|
|
coverageGapPrediction: true,
|
|
flakinessDetection: true,
|
|
riskScoring: true,
|
|
patternMatching: true,
|
|
adaptiveLearning: true
|
|
}
|
|
};
|
|
}
|
|
}
|