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fac498efec09100c795e85d057305c0b86eb80c8
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Author SHA1 Message Date
CTO H3R7Tech
fac498efec fix: test isolation + auth import compatibility + add optuna to requirements (HRT-136)
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Test isolation fixes:
- auth_db.get_db(): read TURF_SAAS_DB dynamically (not frozen at import)
- api_v1/utils.get_db(): read TURF_SAAS_DB dynamically (not frozen at import)
- api_tokens_db.get_db(): read TURF_SAAS_DB dynamically (not frozen at import)
- tests/test_history.py: enforce _tmp_db.name + call init_auth_tables() in fixtures
- tests/test_user_tokens.py: enforce _tmp_db.name + call migrate_api_tokens_tables() in app fixture

Auth compatibility fixes:
- api_v1/routes/history.py: use auth.jwt_required_middleware (flask_jwt_extended)
  with saas_auth fallback for portal_server context
- api_v1/routes/ml_feedback.py: same auth import strategy
- api_v1/routes/user.py: same auth import strategy

Dependencies:
- requirements.txt: add optuna>=4.0.0 (used in ML ensemble tests and training)

Co-Authored-By: Paperclip <noreply@paperclip.ing>
 2026-05-10 08:45:31 +02:00
CTO H3R7Tech
1ccf9f5cb8 feat: LeadHunter CRUD API + auth fixes + blueprint registrations (HRT-136) 
- leadhunter_crm.py: add update_lead(), delete_lead(); expand VALID_STATUSES to 7-step Kanban with legacy migration map
- leadhunter_api.py: add GET/PUT/DELETE /api/leads/<id> endpoints; import update_lead, delete_lead
- portal_server.py: add routes for /leadhunter/clients/le-big-ben/ and /formation/ai102
- saas_api_v1.py: register user blueprint (HRT-79/80) and history blueprint (HRT-81)
- api_v1/routes/user.py: switch auth import to saas_auth.require_auth
- api_v1/routes/history.py: fix auth import + request.current_user fallback
- api_v1/routes/ml_feedback.py: fix auth import + request.current_user fallback

Co-Authored-By: Paperclip <noreply@paperclip.ing>
 2026-05-10 08:29:44 +02:00
DevOps Engineer
52c0c95f22 feat(HRT-93): ml_feedback_saas.py — feedback loop ML pour turf_saas 
- Crée ml_feedback_saas.py (adaptation de ml_feedback.py pour turf_saas.db)
  - DB_PATH = /home/h3r7/turf_saas/turf_saas.db
  - Stratégies : xgboost_sg, xgboost_value, xgboost_sp, xgboost_2sur4
  - Idempotent (ne duplique pas les paris existants)
  - Tested : 188 paris insérés en 1ère exécution, 0 en 2ème (idempotence OK)
- Crée api_v1/routes/ml_feedback.py
  - POST /api/v1/ml/feedback/run (admin only via X-Admin-Token ou plan pro)
  - GET /api/v1/ml/feedback/stats (premium+)
- Enregistre ml_feedback_bp dans api_v1/__init__.py

Co-Authored-By: Paperclip <noreply@paperclip.ing>
 2026-04-30 21:36:21 +02:00