CTO H3R7Tech
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c072f92794
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Fix #1: Ajout job run_ml_cache dans scheduler pour alimenter ml_predictions_cache
- run_ml_cache() lit les partants, genere predictions via predict_v2,
enrichit avec metadonnees course, calcule risque, ecrit dans cache
- Planifie 4x/jour: 09:30, 11:35, 13:30, 17:35
- Installe dependances: optuna, shap, lightgbm
Co-Authored-By: Paperclip <noreply@paperclip.ing>
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2026-05-23 22:54:29 +02:00 |
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DevOps Engineer
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8604dc78b1
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feat(HRT-79): alertes Telegram configurables Premium/Pro
- telegram_alerts.py: service envoi alertes via Bot API (send_pre_race_alerts,
build_race_alert, send_telegram_message) — gestion gracieuse TELEGRAM_BOT_TOKEN absent
- auth_db.py: migrate_telegram_columns() idempotente (ALTER TABLE + try/except OperationalError)
colonnes: telegram_chat_id, alert_value_bets, alert_top1, alert_quinte_only
- api_v1/routes/user.py: blueprint user_bp GET/POST /api/v1/user/telegram-config
protégé @jwt_required_middleware + @plan_required('premium','pro')
- api_v1/__init__.py: import + register user_bp
- turf_scheduler.py: run_telegram_alerts() + schedule_dynamic_telegram_alerts()
planifiées 30min avant course (même pattern que schedule_dynamic_scoring)
avec try/except Exception + fallback logger
Co-Authored-By: Paperclip <noreply@paperclip.ing>
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2026-04-29 16:42:15 +02:00 |
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