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3 Commits

Author SHA1 Message Date
jgrusewski
84877e5146 feat: add auth gRPC service + migrate dashboard from REST/WS to grpc-web 
Backend (Rust):
- Create proto/auth.proto with Login and RefreshToken RPCs
- Implement AuthGrpcService in services/api with JWT issuance
- Register as unauthenticated service in main.rs (pre-auth)
- Update JWT issuer from foxhunt-api-gateway to foxhunt-api

Dashboard (TypeScript):
- Install @connectrpc/connect-web + @bufbuild/protobuf
- Generate TypeScript proto clients via buf (src/gen/)
- Create grpc.ts transport with JWT interceptor
- Rewrite all useApi hooks to typed gRPC calls
- Replace WebSocket with useGrpcStream server-streaming hooks
- Migrate all 6 pages + 6 components to grpc-web
- Delete api.ts, websocket.ts, useWebSocket.ts

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-03-05 00:05:18 +01:00
jgrusewski
5fb84a02f0 feat: training pipeline for all 10 ML ensemble models 
- Add standalone training binaries: TGGN, KAN, xLSTM, Diffusion (DBN data)
- Update Dockerfile.training: 6 → 16 binaries (all 10 models + hyperopt + baseline)
- Expand train.sh: 4 → 10 models, fix registry URL and GPU pool nodeSelector
- Add GPU overlay manifests for trading-service and ml-training-service
- Create training data PVC and upload pod manifests
- Expand web-gateway model validation: 4 → 10 types (training + tune routes)
- Extend dashboard: 10 model cards grouped by category (RL/Temporal/Graph/Generative)
- Add training image build job to Gitea CI workflow
- Update GPU taint controller to exclude inference pool from tainting
- Fix job-template nodeSelector: gpu → gpu-training

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-02-24 20:47:50 +01:00
jgrusewski
6c118d1f53 feat(web-dashboard): trading, risk, ML, performance, backtesting, config dashboards 
Phase 5: Trading dashboard with candlestick chart (TradingView lightweight-charts v5),
order book, positions table, order form, and orders table with cancel support.

Phase 6: Risk dashboard with radial gauges (VaR, position utilization, drawdown),
drawdown chart, WebSocket-fed alerts panel, and emergency stop controls.

Phase 7: ML dashboard with model cards (DQN/PPO/TFT/Mamba2), ensemble voting
panel, regime state indicator, and training job progress tracking.

Phase 8: Performance dashboard with metric cards and P&L charts, backtesting
dashboard with strategy form and trade list, config dashboard with tabbed
category editor and audit log.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-02-22 00:18:43 +01:00