- Fix action distribution metric names (add epoch_ prefix)
- Implement epoch history ring buffer (50 epochs per session)
- Wire GetEpochHistory RPC with real data
- Add test for financial metric mapping
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add 11 financial fields (sharpe, sortino, win_rate, max_drawdown,
profit_factor, total_return, avg_return, total_trades, action
distribution) to TrainingSession (fields 36-46), a new
GetEpochHistory RPC with request/response messages, and wire the
Prometheus metric mapping in the monitoring service with a
stub RPC handler for task 7.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- trade_ml.rs: Replace 3 mock data fallbacks (submit, predictions,
performance) with proper error propagation. Commands now fail
honestly when the API Gateway is unreachable instead of silently
returning fake data. Mark 3 integration tests as #[ignore].
- monitoring_service: Add tonic-health with set_serving for
MonitoringServiceServer. Enables grpc_health_probe readiness checks.
- ml_training_service: Add tonic-health with set_serving for
MlTrainingServiceServer. Wired into both TLS and non-TLS paths.
- data_acquisition_service: Add tonic-health with set_serving for
DataAcquisitionServiceServer.
- ml/cuda_streams: Fix pre-existing unused variable clippy warning.
All 8 services now have standard gRPC health checking enabled.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
CI training jobs run as GitLab runner pods, not K8s Jobs, so the
kube_job_status_active query always returned 0. Switch to
foxhunt_training_active_workers which is emitted by all training
binaries regardless of deployment method.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- DQN/PPO trainers now record epoch, loss, val_loss, batch/s every epoch
- CI training jobs get Prometheus scrape annotations via runner overrides
- Allow Prometheus (foxhunt namespace) to scrape foxhunt-ci pods
- Skip no-model metrics in monitoring service session grouping
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Prometheus client queries training/hyperopt/GPU/K8s metrics, gRPC service
exposes unary + server-streaming RPCs, 4 unit tests, zero clippy warnings.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
