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Author SHA1 Message Date
DevOps Engineer
36d93697bc Merge Sprint 7-8 CI/CD + Docker + Monitoring (HRT-33)
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2026-04-26 23:12:59 +02:00
DevOps Engineer
0e7bcff6b0 feat(ml): add ensemble XGBoost+LightGBM+MLP with Optuna optimization 
- train_ensemble.py: full training pipeline with 100-trial Optuna studies
  for XGBoost and LightGBM, MLP (256-128-64), SHAP feature selection,
  weighted soft-voting ensemble, benchmark report generation
- predict_v2.py: production prediction module with model cache invalidation
- combined_api.py: add /api/v1/predictions, /api/v1/model/status,
  /api/v1/model/invalidate-cache endpoints using ensemble model
- tests/test_ml_ensemble.py: regression, latency and API tests

Baseline XGBoost Precision@3: 0.5287 (holdout 20% temporal)
Deploy threshold: +5% = 0.5551

Co-Authored-By: Paperclip <noreply@paperclip.ing>
 2026-04-25 18:18:48 +02:00
DevOps Engineer
793ee82c29 fix(qa): add /health endpoints to Flask apps for Docker healthchecks 
Docker compose healthchecks target /health on combined-api, dashboard-api
and portal, but these endpoints did not exist (returned 404). This caused
all dependent services (condition: service_healthy) to fail startup.

- combined_api.py: GET /health + /turf/health with DB connectivity check
- dashboard_api.py: GET /health + /turf/health with DB connectivity check
- portal_server.py: GET /health (lightweight, no DB)

QA Finding 1 from HRT-34 review of HRT-33 branch feature/devops-cicd.

Co-Authored-By: Paperclip <noreply@paperclip.ing>
 2026-04-25 17:44:21 +02:00
ML Engineer
ed07c8a3d1 Initial commit: existing turf_saas codebase 
Co-Authored-By: Paperclip <noreply@paperclip.ing>
 2026-04-25 17:18:43 +02:00