2 Commits

Author	SHA1	Message	Date
jgrusewski	afd85b2f8f	chore: clean up examples, update ML binaries and risk tests ... - Delete 14 unused example files (-3,543 lines): config, adaptive-strategy, data, storage, trading_engine, api_gateway, backtesting, trading_service, chaos - Update ML training/eval binaries: improved CLI args, completion tracking, CUDA test cleanup, hyperopt enhancements - Fix KAN network and TFT module adjustments - Update risk test assertions for consistency - Fix backtesting repositories and promotion manager - Update .serena project config and Cargo dependencies Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-02-27 01:33:18 +01:00
jgrusewski	0f9d756caa	feat: on-demand training dispatch via K8s Jobs with sidecar uploader ... Extend ml_training_service to dispatch GPU training jobs as K8s batch/v1 Jobs, collect results via a Rust sidecar uploader, and support model promotion with operator approval via fxt CLI. - K8s dispatcher creates Jobs on gpu-training pool with native sidecar - training_uploader crate: watches DONE/FAILED marker, uploads to S3, reports completion via ReportJobCompletion gRPC - PromotionManager compares metrics, queues better models for approval - 4 new proto RPCs: ReportJobCompletion, ListPendingPromotions, ApprovePromotion, RejectPromotion - fxt commands: train start, model list/approve/reject - Training binaries write DONE/FAILED markers + metrics.json - Dockerfile, K8s job template, and CI pipeline updated - StartTraining gracefully falls back to in-process when outside K8s - 27 new tests (16 service + 11 promotion), 141 total service tests pass Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-02-26 12:43:17 +01:00