Files
foxhunt/services/api_gateway/tests
jgrusewski 35feadf55e 🚀 Wave 160 Phase 6: CUDA Mandatory + TDD Testing + TFT Complete (21 Agents)
## Major Achievements

### 1. CUDA Made Default & Mandatory (Agent 143)
- CUDA now default feature in ml/Cargo.toml
- All training requires GPU (no silent CPU fallback)
- Added get_training_device() helper with fail-fast errors
- Removed --use-gpu flags (GPU mandatory)
- **Impact**: No more wasting time on accidental CPU training

### 2. TFT Training COMPLETE (Agent 144)
-  Training completed successfully in 7.6 minutes
-  Early stopping at epoch 100/200 (best val loss: 0.097318)
-  11 checkpoints saved to ml/trained_models/production/tft/
-  GPU Performance: 99% utilization, 367MB VRAM, 4.4s/epoch
-  10x speedup vs CPU (4.4s vs 43-55s per epoch)
- **Status**: PRODUCTION READY

### 3. TFT CUDA Tensor Contiguity Fix (Agent 142)
- Fixed "matmul not supported for non-contiguous tensors" error
- Added .contiguous() call after narrow() operation in QuantileLayer
- Enabled CUDA-accelerated TFT training
- **Files**: ml/src/tft/quantile_outputs.rs

### 4. MAMBA-2 CUDA Layer Normalization (Agent 145)
- Created CudaLayerNorm wrapper for missing CUDA kernel
- Implemented manual layer norm: γ * (x - μ) / sqrt(σ² + ε) + β
- MAMBA-2 now runs on CUDA (no more "no cuda implementation" error)
- **Files**: ml/src/mamba/mod.rs

### 5. TDD E2E Test Suite (Agent 146) 
- Created comprehensive MAMBA-2 test suite (297 lines)
- 7 tests: shapes, batches, CUDA, gradients, configs
- **16x faster debugging**: 5s per iteration vs 80s
- Already caught dtype mismatch bug (F32 vs F64)
- **Files**: ml/tests/e2e_mamba2_training.rs

## Agent Summary (Agents 126-146)

### Code Fixes (Parallel - Agents 137-141)
- **Agent 137**: MAMBA-2 batch dimension fix (streaming + batch loaders)
- **Agent 138**: Liquid NN API fix (mutable loader, iterator fix)
- **Agent 139**: PPO CheckpointMetadata fix (signature fields)
- **Agent 140**: Paper trading executor (498 lines, 100ms polling)
- **Agent 141**: Real model loading (RealDQNModel, RealPPOModel)

### Infrastructure (Agents 143-146)
- **Agent 143**: CUDA mandatory (Cargo.toml, device helpers)
- **Agent 144**: TFT verification (completion monitoring)
- **Agent 145**: MAMBA-2 CUDA layer norm wrapper
- **Agent 146**: TDD E2E test suite (16x faster debugging)

## Files Modified

### Core ML Infrastructure
- ml/Cargo.toml: Added default = ["minimal-inference", "cuda"]
- ml/src/lib.rs: Added get_training_device() helper (+109 lines)
- ml/src/tft/quantile_outputs.rs: Fixed tensor contiguity
- ml/src/mamba/mod.rs: Added CudaLayerNorm wrapper (+41 lines)

### Training Scripts
- ml/examples/train_tft_dbn.rs: Removed --use-gpu flag
- ml/examples/train_ppo.rs: Removed --use-gpu flag
- ml/examples/train_mamba2_dbn.rs: Forced CUDA-only mode
- ml/examples/train_liquid_dbn.rs: Fixed API usage

### Data Loaders
- ml/src/data_loaders/dbn_sequence_loader.rs: Fixed batch dimensions
- ml/src/data_loaders/streaming_dbn_loader.rs: Fixed batch dimensions

### Trading Service
- services/trading_service/src/paper_trading_executor.rs: New executor (+498 lines)
- services/trading_service/src/services/enhanced_ml.rs: Real model loading
- services/trading_service/src/ensemble_coordinator.rs: Integration

### Tests
- ml/tests/e2e_mamba2_training.rs: New TDD test suite (+297 lines)

### Trainers
- ml/src/trainers/tft.rs: Fixed CheckpointMetadata signature fields

## Performance Metrics

### TFT Training
- Duration: 7.6 minutes (100 epochs with early stopping)
- GPU Utilization: 99%
- GPU Memory: 367MB / 4GB (9%)
- Epoch Time: 4.4 seconds (vs 43-55s on CPU)
- Speedup: 10x vs CPU
- Status:  PRODUCTION READY

### TDD Testing
- Test Execution: 5-10 seconds per test
- Debugging Iteration: 5 seconds (vs 80 seconds before)
- Speedup: 16x faster debugging
- First Bug Found: <1 minute (dtype mismatch)

## Documentation
- 21 comprehensive agent reports
- TDD quick start guide
- CUDA troubleshooting guide
- Training verification procedures

## Next Steps
1. Fix MAMBA-2 dtype mismatch (F32→F64) - 2 minutes
2. Run MAMBA-2 tests until passing - 5-10 minutes
3. Launch full MAMBA-2 training - 200 epochs
4. Launch Liquid NN training

## System Status
- TFT:  COMPLETE (production ready)
- MAMBA-2: 🧪 IN TESTING (TDD suite ready)
- CUDA:  DEFAULT (mandatory for training)
- Tests:  16x faster debugging

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-14 23:13:34 +02:00
..

API Gateway Integration Tests

Comprehensive integration tests for the 8-layer authentication pipeline.

Test Structure

tests/
├── integration_tests.rs      # Main test harness
├── auth_flow_tests.rs        # Authentication flow tests (11 tests)
├── rate_limiting_tests.rs    # Rate limiting tests (9 tests)
├── service_proxy_tests.rs    # Backend proxy tests (8 tests)
├── common/                   # Test utilities
│   └── mod.rs               # JWT generation, Redis helpers
├── docker-compose.yml        # Test dependencies (Redis, PostgreSQL)
└── README.md                # This file

Prerequisites

Start Test Dependencies

cd services/api_gateway/tests
docker-compose up -d

This starts:

  • Redis on port 6380 (for JWT revocation and rate limiting)
  • PostgreSQL on port 5433 (for configuration, if needed)

Verify Services

# Check Redis
docker exec api_gateway_test_redis redis-cli ping

# Check PostgreSQL
docker exec api_gateway_test_postgres pg_isready

Running Tests

All Integration Tests

cargo test --test integration_tests

Specific Test Modules

# Authentication flow tests only
cargo test --test integration_tests auth_flow

# Rate limiting tests only
cargo test --test integration_tests rate_limiting

# Service proxy tests only
cargo test --test integration_tests service_proxy

Specific Tests

# Single test
cargo test --test integration_tests test_successful_authentication

# Tests matching pattern
cargo test --test integration_tests test_rate_limit

With Output

# Show println! output
cargo test --test integration_tests -- --nocapture

# Show test names
cargo test --test integration_tests -- --show-output

Test Coverage

Authentication Flow Tests (11 tests)

  1. test_successful_authentication - Complete 8-layer auth pipeline
  2. test_missing_jwt_rejected - Missing Authorization header
  3. test_revoked_jwt_rejected - Blacklisted JWT
  4. test_expired_jwt_rejected - Expired token
  5. test_invalid_signature_rejected - Wrong signature
  6. test_rbac_permission_denied - Missing permissions
  7. test_rate_limit_exceeded - Rate limiting
  8. test_8_layer_auth_performance - Performance metrics (P50/P99)
  9. test_concurrent_authentication - Concurrent requests
  10. test_user_context_injection - Metadata enrichment
  11. test_malformed_authorization_header - Invalid headers

Rate Limiting Tests (9 tests)

  1. test_rate_limiter_basic - Basic rate limiting
  2. test_rate_limiter_per_user - Per-user isolation
  3. test_rate_limiter_concurrent_requests - Concurrent handling
  4. test_rate_limiter_performance - <50ns target
  5. test_rate_limiter_reset_behavior - Window reset
  6. test_rate_limiter_multiple_users - 10 independent users
  7. test_rate_limiter_burst_handling - Burst requests
  8. test_rate_limiter_edge_cases - Low/high limits
  9. test_rate_limiter_sustained_load - 2-second load test

Service Proxy Tests (8 tests)

  1. test_ml_training_proxy_config - Default configuration
  2. test_ml_training_proxy_custom_config - Custom settings
  3. test_circuit_breaker_config_validation - CB validation
  4. test_connection_timeout_behavior - Timeout handling
  5. test_service_proxy_error_handling - Error scenarios
  6. test_backend_config_serialization - Debug/Clone
  7. test_multiple_backend_configs - Multi-environment
  8. test_proxy_performance_overhead - Config creation <10μs

Performance Targets

Component Target Measured By
Total auth overhead <10μs test_8_layer_auth_performance
JWT validation <1μs Included in total
Revocation check <500ns Redis in-memory
Authorization <100ns Cached permissions
Rate limiting <50ns test_rate_limiter_performance
Context injection <100ns Metadata write

Test Utilities

JWT Generation

use common::{generate_test_token, generate_expired_token};

// Valid token
let (token, jti) = generate_test_token(
    "user123",
    vec!["trader".to_string()],
    vec!["api.access".to_string()],
    3600, // TTL in seconds
)?;

// Expired token
let expired = generate_expired_token("user456")?;

Redis Cleanup

use common::{wait_for_redis, cleanup_redis};

// Wait for Redis to be ready
wait_for_redis("redis://localhost:6380", 50).await?;

// Clean up test data
cleanup_redis("redis://localhost:6380").await?;

CI/CD Integration

GitHub Actions

- name: Start test dependencies
  run: |
    cd services/api_gateway/tests
    docker-compose up -d
    sleep 5

- name: Run integration tests
  run: cargo test --test integration_tests

- name: Stop test dependencies
  run: |
    cd services/api_gateway/tests
    docker-compose down -v

Troubleshooting

Redis Connection Failed

# Check if Redis is running
docker ps | grep api_gateway_test_redis

# View Redis logs
docker logs api_gateway_test_redis

# Restart Redis
docker-compose restart redis

Port Conflicts

If ports 6380 or 5433 are already in use:

# Edit docker-compose.yml to use different ports
# Then restart
docker-compose down
docker-compose up -d

Performance Tests Failing

Performance tests may fail in CI/CD environments due to:

  • Shared CPU resources
  • Network latency
  • Docker overhead

Consider adjusting thresholds or using #[ignore] for strict performance tests.

Adding New Tests

  1. Create test file in tests/
  2. Add module declaration to integration_tests.rs
  3. Use common:: utilities for setup
  4. Document performance expectations

Example:

// tests/new_feature_tests.rs
mod common;

#[tokio::test]
async fn test_new_feature() -> Result<()> {
    println!("\n=== Test: New Feature ===");
    
    // Setup
    let auth = setup_auth_components().await?;
    
    // Test logic
    // ...
    
    println!("  ✓ Test passed");
    Ok(())
}

Clean Up

# Stop and remove test containers
cd services/api_gateway/tests
docker-compose down -v

# Remove test data volumes
docker volume prune -f