Files
foxhunt/monitoring/prometheus/prometheus.yml
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

89 lines
2.2 KiB
YAML

# Prometheus Configuration for Foxhunt API Gateway
#
# This configuration scrapes metrics from:
# - API Gateway (authentication, proxy, config)
# - Trading Service
# - Backtesting Service
# - ML Training Service
global:
scrape_interval: 5s
evaluation_interval: 5s
external_labels:
cluster: 'foxhunt-hft'
env: 'production'
# Alertmanager configuration
alerting:
alertmanagers:
- static_configs:
- targets:
- 'alertmanager:9093'
# Load alert rules
rule_files:
- 'alerts/api_gateway_alerts.yml'
- 'alerts/trading_service_alerts.yml'
- 'alerts/ml_training_alerts.yml'
- 'alerts/backtesting_alerts.yml'
- 'alerts/system_alerts.yml'
- 'alerts/ensemble_ml_alerts.yml'
# Scrape configurations
scrape_configs:
# API Gateway metrics
- job_name: 'api_gateway'
static_configs:
- targets: ['api-gateway:9090']
metric_relabel_configs:
# Keep only API Gateway metrics
- source_labels: [__name__]
regex: 'api_gateway_.*'
action: keep
# Trading Service metrics
- job_name: 'trading_service'
static_configs:
- targets: ['trading-service:9091']
metric_relabel_configs:
- source_labels: [__name__]
regex: 'trading_.*'
action: keep
# Backtesting Service metrics
- job_name: 'backtesting_service'
static_configs:
- targets: ['backtesting-service:9092']
metric_relabel_configs:
- source_labels: [__name__]
regex: 'backtesting_.*'
action: keep
# ML Training Service metrics
- job_name: 'ml_training_service'
static_configs:
- targets: ['ml-training-service:9093']
metric_relabel_configs:
- source_labels: [__name__]
regex: 'ml_training_.*'
action: keep
# PostgreSQL exporter (for NOTIFY/config events)
- job_name: 'postgresql'
static_configs:
- targets: ['postgres-exporter:9187']
# Redis exporter (for JWT revocation)
- job_name: 'redis'
static_configs:
- targets: ['redis-exporter:9121']
# Node exporter (system metrics)
- job_name: 'node'
static_configs:
- targets:
- 'api-gateway-node:9100'
- 'trading-service-node:9100'
- 'backtesting-service-node:9100'
- 'ml-training-service-node:9100'