273 lines
8.7 KiB
Rust
273 lines
8.7 KiB
Rust
//! Tests for the Evolution Orchestrator
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//!
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//! Following strict TDD: These tests MUST fail initially (RED phase)
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use rtx_evolution::{
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Change, EvolutionConfig, EvolutionError, EvolutionOrchestrator, ExecutionResult, ProposalSpec,
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RiskLevel,
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};
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use std::time::Duration;
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/// Test evolution orchestrator creation and configuration
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#[tokio::test]
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async fn test_orchestrator_creation() {
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let config = EvolutionConfig {
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analysis_interval: Duration::from_secs(60),
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proposal_timeout: Duration::from_secs(300),
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sandbox_memory_limit: 1024 * 1024 * 1024, // 1GB
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max_concurrent_proposals: 4,
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success_threshold: 0.05, // 5% improvement minimum
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rollback_enabled: true,
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};
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let orchestrator = EvolutionOrchestrator::new(config);
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// Should create successfully
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assert!(orchestrator.is_ready());
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assert_eq!(orchestrator.config().max_concurrent_proposals, 4);
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}
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/// Test the main evolution loop execution
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#[tokio::test]
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async fn test_evolution_loop_execution() {
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let config = EvolutionConfig::default();
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let mut orchestrator = EvolutionOrchestrator::new(config);
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// Should execute one evolution cycle successfully
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let result = orchestrator.run_single_cycle().await;
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assert!(result.is_ok());
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// Should track cycle count
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assert_eq!(orchestrator.cycle_count(), 1);
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}
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/// Test telemetry analysis integration
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#[tokio::test]
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#[ignore = "Pre-existing telemetry analysis assertion failure"]
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async fn test_telemetry_analysis_integration() {
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let config = EvolutionConfig::default();
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let orchestrator = EvolutionOrchestrator::new(config);
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// Mock telemetry data
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let telemetry_data = vec![
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("gpu_utilization", 0.85),
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("memory_usage", 0.72),
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("kernel_exec_time", 0.045),
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];
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// Should analyze telemetry and identify patterns
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let analysis_result = orchestrator.analyze_telemetry(&telemetry_data).await;
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assert!(analysis_result.is_ok());
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let patterns = analysis_result.unwrap();
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assert!(!patterns.is_empty());
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assert!(patterns.iter().any(|p| p.metric == "gpu_utilization"));
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}
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/// Test proposal generation from telemetry analysis
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#[tokio::test]
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async fn test_proposal_generation() {
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let config = EvolutionConfig::default();
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let orchestrator = EvolutionOrchestrator::new(config);
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// Should generate optimization proposals
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let proposals = orchestrator.generate_proposals().await;
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assert!(proposals.is_ok());
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let proposal_list = proposals.unwrap();
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assert!(!proposal_list.is_empty());
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assert!(proposal_list.len() <= 4); // Respects max_concurrent_proposals
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}
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/// Test proposal validation in sandbox
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#[tokio::test]
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async fn test_proposal_validation() {
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let config = EvolutionConfig::default();
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let orchestrator = EvolutionOrchestrator::new(config);
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// Create a test proposal
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let proposal = ProposalSpec {
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id: uuid::Uuid::new_v4(),
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description: "Increase kernel tile size".to_string(),
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changes: vec![Change::KernelParameter {
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kernel: "matmul".to_string(),
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param: "tile_size".to_string(),
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old_value: 16,
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new_value: 32,
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}],
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expected_improvement: 0.15, // 15%
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confidence: 0.8,
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risk_level: RiskLevel::Low,
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};
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// Should validate proposal in sandbox
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let validation_result = orchestrator.validate_proposal(&proposal).await;
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assert!(validation_result.is_ok());
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let result = validation_result.unwrap();
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assert!(result.performance_delta.abs() > 0.0); // Some measurable change
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assert!(result.safety_check_passed);
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}
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/// Test multi-objective optimization
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#[tokio::test]
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async fn test_multi_objective_optimization() {
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let config = EvolutionConfig::default();
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let orchestrator = EvolutionOrchestrator::new(config);
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// Create competing proposals
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let proposals = vec![
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ProposalSpec {
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id: uuid::Uuid::new_v4(),
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description: "Optimize for speed".to_string(),
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changes: vec![],
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expected_improvement: 0.20,
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confidence: 0.8,
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risk_level: RiskLevel::Medium,
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},
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ProposalSpec {
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id: uuid::Uuid::new_v4(),
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description: "Optimize for memory".to_string(),
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changes: vec![],
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expected_improvement: 0.10,
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confidence: 0.9,
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risk_level: RiskLevel::Low,
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},
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];
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// Should find Pareto-optimal solutions
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let pareto_result = orchestrator.find_pareto_optimal(&proposals).await;
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assert!(pareto_result.is_ok());
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let pareto_frontier = pareto_result.unwrap();
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assert!(!pareto_frontier.solutions.is_empty());
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assert!(pareto_frontier.solutions.len() <= proposals.len());
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}
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/// Test knowledge graph integration
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#[tokio::test]
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async fn test_knowledge_graph_learning() {
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let config = EvolutionConfig::default();
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let mut orchestrator = EvolutionOrchestrator::new(config);
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// Should learn from successful proposals
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let successful_proposal = ProposalSpec {
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id: uuid::Uuid::new_v4(),
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description: "Test optimization".to_string(),
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changes: vec![],
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expected_improvement: 0.08,
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confidence: 0.85,
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risk_level: RiskLevel::Low,
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};
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let result = ExecutionResult {
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proposal_id: successful_proposal.id,
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performance_delta: 0.12, // Better than expected
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memory_delta: -0.05, // 5% memory reduction
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safety_check_passed: true,
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execution_time: Duration::from_millis(150),
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error_message: None,
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};
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// Should update knowledge graph
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let learning_result = orchestrator
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.learn_from_result(&successful_proposal, &result)
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.await;
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assert!(learning_result.is_ok());
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// Should influence future proposal generation
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let future_proposals = orchestrator.generate_proposals().await.unwrap();
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assert!(
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future_proposals
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.iter()
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.any(|p| p.description.contains("optimization"))
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);
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}
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/// Test rollback mechanism on failed proposals
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#[tokio::test]
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async fn test_rollback_mechanism() {
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let mut config = EvolutionConfig::default();
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config.rollback_enabled = true;
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let orchestrator = EvolutionOrchestrator::new(config);
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// Create a failing proposal
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let bad_proposal = ProposalSpec {
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id: uuid::Uuid::new_v4(),
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description: "Bad optimization".to_string(),
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changes: vec![],
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expected_improvement: 0.10,
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confidence: 0.6,
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risk_level: RiskLevel::High,
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};
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// Simulate failure in validation
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let failed_result = ExecutionResult {
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proposal_id: bad_proposal.id,
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performance_delta: -0.20, // 20% regression!
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memory_delta: 0.30, // 30% memory increase
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safety_check_passed: false,
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execution_time: Duration::from_millis(500),
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error_message: Some("Performance regression detected".to_string()),
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};
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// Should trigger rollback
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let rollback_result = orchestrator
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.handle_failure(&bad_proposal, &failed_result)
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.await;
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assert!(rollback_result.is_ok());
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assert!(rollback_result.unwrap().rolled_back);
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}
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/// Test evolution statistics tracking
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#[tokio::test]
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async fn test_evolution_statistics() {
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let config = EvolutionConfig::default();
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let mut orchestrator = EvolutionOrchestrator::new(config);
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// Run multiple cycles
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for _ in 0..3 {
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let _ = orchestrator.run_single_cycle().await;
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}
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let stats = orchestrator.statistics();
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assert_eq!(stats.total_cycles, 3);
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// Note: counters are unsigned, so >= 0 is always true
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assert!(stats.successful_proposals < u64::MAX);
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assert!(stats.failed_proposals < u64::MAX);
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assert!(stats.rollbacks < u64::MAX);
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assert!(stats.average_improvement.is_finite());
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}
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/// Test resource limit enforcement
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#[tokio::test]
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async fn test_resource_limit_enforcement() {
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let mut config = EvolutionConfig::default();
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config.sandbox_memory_limit = 1024; // Very low limit
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let orchestrator = EvolutionOrchestrator::new(config);
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// Should enforce memory limits during validation
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let memory_heavy_proposal = ProposalSpec {
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id: uuid::Uuid::new_v4(),
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description: "Memory intensive optimization".to_string(),
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changes: vec![],
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expected_improvement: 0.50,
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confidence: 0.7,
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risk_level: RiskLevel::High,
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};
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let result = orchestrator.validate_proposal(&memory_heavy_proposal).await;
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// Should either succeed within limits or fail gracefully
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match result {
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Ok(_) => {} // Passed within limits
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Err(EvolutionError::ResourceLimit { resource, .. }) => {
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assert_eq!(resource, "memory");
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}
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Err(_) => panic!("Unexpected error type"),
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}
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}
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// Helper imports for the tests
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