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README.md

@@ -1,106 +1,324 @@
----
-title: Employee Turnover Prediction API
-emoji: 👔
-colorFrom: blue
-colorTo: purple
-sdk: gradio
-pinned: true
-license: mit
-app_port: 7860
----
+# 🚀 Employee Turnover Prediction API - v3.2.1
 
+## 📊 Vue d'ensemble
 
-# Employee Turnover Prediction API 🚀 (v3.2.1)
+API REST de prédiction du turnover des employés basée sur un modèle XGBoost avec SMOTE.
 
-API de prédiction du turnover des employés (XGBoost + SMOTE) avec endpoints batch, validation stricte et documentation à jour.
 
-## 🎯 Fonctionnalités
-
-- ✅ Prédiction de turnover (0 = reste, 1 = part)
+**✨ Nouveautés v3.2.1** :
+- 🎛️ Sliders Gradio et schémas Pydantic alignés sur les min/max réels des données d'entraînement
 - 📦 Endpoint batch CSV (3 fichiers bruts)
-- 🎛️ Sliders Gradio et schémas Pydantic alignés sur les min/max réels
-- 📊 Probabilités et niveau de risque (Low/Medium/High)
-- 🔐 Authentification API Key (obligatoire)
-- 📝 Logs structurés JSON
-- 🛡️ Rate limiting (20 req/min)
-- 📚 Documentation OpenAPI/Swagger
+- 🔑 Authentification API Key (prod)
+- 🔧 Correction preprocessing (scaling, ordre des colonnes)
+- 📝 Documentation et exemples mis à jour
+
+## 🏗️ Architecture
+
+```
+OC_P5/
+├── app.py                    # Point d'entrée FastAPI
+├── src/
+│   ├── auth.py              # Authentification API Key
+│   ├── config.py            # Configuration centralisée
+│   ├── logger.py            # Logging structuré (NOUVEAU)
+│   ├── models.py            # Chargement modèle HF Hub
+│   ├── preprocessing.py     # Pipeline preprocessing
+│   ├── rate_limit.py        # Rate limiting (NOUVEAU)
+│   └── schemas.py           # Validation Pydantic
+├── tests/                   # Suite pytest (33 tests, 88% couverture)
+├── logs/                    # Logs JSON (NOUVEAU)
+│   ├── api.log              # Tous les logs
+│   └── error.log            # Erreurs uniquement
+├── docs/                    # Documentation
+├── ml_model/                # Scripts training
+└── data/                    # Données sources
+## 🗄️ Schéma de la Base de Données (PostgreSQL)
+
+Schéma UML pour traçabilité ML (basé sur P5 prédiction turnover employé) :
+![Schéma BDD](docs/schema.png)
+
+- **dataset** : Dataset original (référence pour tests/retraining). Colonnes adaptées au modèle de prédiction turnover.
+- **ml_logs** : Logs inputs/outputs (JSON pour flexibilité, timestamp pour audits).
+
+Choix : Structure relationnelle pour efficacité volume data ; sécurité via user dédié (ml_user).
+Instructions : Voir create_db.py pour création.
+
+📖 **Guide complet pour débutants** : [docs/database_guide.md](docs/database_guide.md)
+
+### 💾 Insertion du Dataset
+```bash
+# Insérer le dataset complet (1470 employés)
+poetry run python scripts/insert_dataset.py
+
+# Vérifier l'insertion
+psql -h localhost -U ml_user -d oc_p5_db -c "SELECT COUNT(*) FROM dataset;"
+```
+
+### Prérequis
+- Python 3.12+
+- Poetry 1.7+
+- Git
+
+### Setup rapide
 
+```bash
+# 1. Cloner le repo
+git clone https://github.com/chaton59/OC_P5.git
+cd OC_P5
+
+# 2. Installer les dépendances
+poetry install
 
-## 🔗 Endpoints
+# 3. Configurer l'environnement
+cp .env.example .env
+# Éditer .env avec vos valeurs
 
-| Endpoint | Description |
-|----------|-------------|
-| `/docs` | Documentation interactive Swagger |
-| `/health` | Status de l'API |
-| `/ui` | Interface Gradio interactive |
-| `/predict` | Prédiction unitaire (JSON, contraintes réelles) |
-| `/predict/batch` | Prédiction batch (3 fichiers CSV bruts) |
+# 4. Lancer l'API
+poetry run uvicorn app:app --reload
 
+# 5. Accéder à la documentation
+# http://localhost:8000/docs
+```
 
-## 🚀 Utilisation
+## 📝 Configuration (.env)
 
-### Prédiction unitaire (toutes contraintes appliquées)
 ```bash
-curl -X POST https://asi-engineer-oc-p5-dev.hf.space/predict \
+# Mode développement (désactive auth + active logs détaillés)
+DEBUG=true
+
+# API Key (requis en production)
+API_KEY=your-secret-key-here
+
+# Logging (DEBUG, INFO, WARNING, ERROR, CRITICAL)
+LOG_LEVEL=INFO
+
+# HuggingFace Model
+HF_MODEL_REPO=ASI-Engineer/employee-turnover-model
+MODEL_FILENAME=model/model.pkl
+```
+
+## 🔒 Authentification
+
+### Mode DEBUG (développement)
+```bash
+# L'API Key n'est PAS requise
+curl http://localhost:8000/predict -H "Content-Type: application/json" -d '{...}'
+```
+
+### Mode PRODUCTION
+```bash
+# L'API Key est REQUISE
+curl http://localhost:8000/predict \
+  -H "X-API-Key: your-secret-key" \
   -H "Content-Type: application/json" \
-  -H "X-API-Key: your-key" \
-  -d '{
-    "nombre_participation_pee": 0,
-    "nb_formations_suivies": 2,
-    "nombre_employee_sous_responsabilite": 1,
-    "distance_domicile_travail": 15,
-    "niveau_education": 3,
-    "domaine_etude": "Infra & Cloud",
-    "ayant_enfants": "Y",
-    "frequence_deplacement": "Occasionnel",
-    "annees_depuis_la_derniere_promotion": 2,
-    "annes_sous_responsable_actuel": 5,
-    "satisfaction_employee_environnement": 3,
-    "note_evaluation_precedente": 4,
-    "niveau_hierarchique_poste": 2,
-    "satisfaction_employee_nature_travail": 3,
-    "satisfaction_employee_equipe": 3,
-    "satisfaction_employee_equilibre_pro_perso": 2,
-    "note_evaluation_actuelle": 4,
-    "heure_supplementaires": "Non",
-    "augementation_salaire_precedente": 5.5,
-    "age": 35,
-    "genre": "M",
-    "revenu_mensuel": 4500.0,
-    "statut_marital": "Marié(e)",
-    "departement": "Commercial",
-    "poste": "Manager",
-    "nombre_experiences_precedentes": 3,
-    "nombre_heures_travailless": 80,
-    "annee_experience_totale": 10,
-    "annees_dans_l_entreprise": 5,
-    "annees_dans_le_poste_actuel": 2
-  }'
+  -d '{...}'
 ```
 
-### Prédiction batch (3 fichiers CSV bruts)
+
+## 📡 Endpoints
+
+### 🏥 Health Check
 ```bash
-curl -X POST https://asi-engineer-oc-p5-dev.hf.space/predict/batch \
-  -H "X-API-Key: your-key" \
-  -F "sondage_file=@extrait_sondage.csv" \
-  -F "eval_file=@extrait_eval.csv" \
-  -F "sirh_file=@extrait_sirh.csv"
+GET /health
+
+# Réponse
+{
+  "status": "healthy",
+  "model_loaded": true,
+  "model_type": "Pipeline",
+  "version": "3.2.1"
+}
 ```
 
-**Réponse :**
-```json
+### 🔮 Prédiction unitaire
+```bash
+POST /predict
+Content-Type: application/json
+X-API-Key: your-key (en production)
+
+# Payload (exemple, contraintes réelles appliquées)
+{
+  "nombre_participation_pee": 0,
+  "nb_formations_suivies": 2,
+  "nombre_employee_sous_responsabilite": 1,
+  "distance_domicile_travail": 15,
+  "niveau_education": 3,
+  "domaine_etude": "Infra & Cloud",
+  "ayant_enfants": "Y",
+  "frequence_deplacement": "Occasionnel",
+  "annees_depuis_la_derniere_promotion": 2,
+  "annes_sous_responsable_actuel": 5,
+  "satisfaction_employee_environnement": 3,
+  "note_evaluation_precedente": 4,
+  "niveau_hierarchique_poste": 2,
+  "satisfaction_employee_nature_travail": 3,
+  "satisfaction_employee_equipe": 3,
+  "satisfaction_employee_equilibre_pro_perso": 2,
+  "note_evaluation_actuelle": 4,
+  "heure_supplementaires": "Non",
+  "augementation_salaire_precedente": 5.5,
+  "age": 35,
+  "genre": "M",
+  "revenu_mensuel": 4500.0,
+  "statut_marital": "Marié(e)",
+  "departement": "Commercial",
+  "poste": "Manager",
+  "nombre_experiences_precedentes": 3,
+  "nombre_heures_travailless": 80,
+  "annee_experience_totale": 10,
+  "annees_dans_l_entreprise": 5,
+  "annees_dans_le_poste_actuel": 2
+}
+
+# Réponse
+{
+  "prediction": 0,                    # 0 = reste, 1 = part
+  "probability_0": 0.85,              # Probabilité de rester
+  "probability_1": 0.15,              # Probabilité de partir
+  "risk_level": "Low"                 # Low, Medium, High
+}
+```
+
+### 📦 Prédiction batch (CSV)
+```bash
+POST /predict/batch
+X-API-Key: your-key (en production)
+
+# Envoi des 3 fichiers CSV bruts
+curl -X POST "http://localhost:8000/predict/batch" \
+  -H "X-API-Key: your-key" \
+  -F "sondage_file=@data/extrait_sondage.csv" \
+  -F "eval_file=@data/extrait_eval.csv" \
+  -F "sirh_file=@data/extrait_sirh.csv"
+
+# Réponse
 {
   "total_employees": 1470,
-  "predictions": [...],
+  "predictions": [
+    {"employee_id": 1, "prediction": 1, "probability_leave": 0.84, "risk_level": "High"},
+    {"employee_id": 2, "prediction": 0, "probability_leave": 0.11, "risk_level": "Low"}
+  ],
   "summary": {
     "total_stay": 1169,
     "total_leave": 301,
-    "high_risk_count": 222
+    "high_risk_count": 222,
+    "medium_risk_count": 233,
+    "low_risk_count": 1015
   }
 }
 ```
 
+## 📊 Logging
+
+### Logs structurés JSON
+
+**Fichiers** :
+- `logs/api.log` : Tous les logs
+- `logs/error.log` : Erreurs uniquement
+
+**Format** :
+```json
+{
+  "timestamp": "2025-12-26T10:30:45",
+  "level": "INFO",
+  "logger": "employee_turnover_api",
+  "message": "Request POST /predict",
+  "method": "POST",
+  "path": "/predict",
+  "status_code": 200,
+  "duration_ms": 23.45,
+  "client_host": "127.0.0.1"
+}
+```
+
+## 🛡️ Rate Limiting
+
+**Configuration** :
+- **Développement** : Désactivé (DEBUG=true)
+- **Production** : 20 requêtes/minute par IP ou API Key
+
+**En cas de dépassement** :
+```json
+{
+  "error": "Rate limit exceeded",
+  "message": "20 per 1 minute"
+}
+```
+
+## ✅ Tests
+
+```bash
+# Tous les tests
+poetry run pytest tests/ -v
+
+# Avec couverture
+poetry run pytest tests/ --cov --cov-report=html
+
+# Voir rapport HTML
+open htmlcov/index.html
+```
+
+**Résultats** :
+- ✅ 33 tests passés
+- 📊 88% de couverture globale
+
+## 🚀 Déploiement
+
+### Variables d'environnement requises
+```bash
+DEBUG=false
+API_KEY=<votre-clé-sécurisée>
+LOG_LEVEL=INFO
+```
+
+### HuggingFace Spaces
+Prêt pour déploiement avec `app.py` et `requirements.txt`
+
+## 📚 Documentation
+
+- **API Interactive** : http://localhost:8000/docs
+- **ReDoc** : http://localhost:8000/redoc
+- **Guide complet** : [docs/API_GUIDE.md](docs/API_GUIDE.md)
+- **Standards** : [docs/standards.md](docs/standards.md)
+- **Couverture tests** : [docs/TEST_COVERAGE.md](docs/TEST_COVERAGE.md)
+
+## 📦 Dépendances principales
+
+- **FastAPI** 0.115.14 : Framework web
+- **Pydantic** 2.12.5 : Validation données
+- **XGBoost** 2.1.3 : Modèle ML
+- **SlowAPI** 0.1.9 : Rate limiting
+- **python-json-logger** 4.0.0 : Logs structurés
+- **pytest** 9.0.2 : Tests
+
+
+## 🔄 Changelog
+
+### v3.2.1 (janvier 2026)
+- 🎛️ Sliders Gradio et schémas Pydantic alignés sur les min/max réels des données d'entraînement
+- 📦 Endpoint batch CSV (3 fichiers bruts)
+- 🔑 Authentification API Key (prod)
+- 🔧 Correction preprocessing (scaling, ordre des colonnes)
+- 📝 Documentation et exemples mis à jour
+
+### v2.2.0 (27 décembre 2025)
+- 📦 Nouvel endpoint `/predict/batch` pour traitement CSV direct
+- 🔧 Fix preprocessing : ajout du scaling des features
+- 🔧 Fix preprocessing : correction de l'ordre des colonnes
+- 📊 Amélioration précision des prédictions (~90%)
+
+### v2.1.0 (26 décembre 2025)
+- ✨ Système de logging structuré JSON
+- 🛡️ Rate limiting avec SlowAPI
+- ⚡ Amélioration gestion d'erreurs
+- 📊 Monitoring des performances
+
+### v2.0.0 (26 décembre 2025)
+- ✅ Suite de tests complète (36 tests)
+- 🔐 Authentification API Key
+- 📊 88% de couverture de code
 
-## 📚 Documentation complète
+## 👥 Auteurs
 
-Voir [docs/API.md](docs/API.md) ou le [GitHub Repository](https://github.com/chaton59/OC_P5) pour la documentation complète et les contraintes détaillées (min/max, enums, etc).
+- **Projet** : OpenClassrooms P5
+- **Repo** : [github.com/chaton59/OC_P5](https://github.com/chaton59/OC_P5)

requirements_full.txt

@@ -0,0 +1,123 @@
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+alembic==1.17.2 ; python_version >= "3.12" and python_version < "4.0"
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+annotated-types==0.7.0 ; python_version >= "3.12" and python_version < "4.0"
+anyio==4.12.0 ; python_version >= "3.12" and python_version < "4.0"
+audioop-lts==0.2.2 ; python_version >= "3.13" and python_version < "4.0"
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+cachetools==6.2.4 ; python_version >= "3.12" and python_version < "4.0"
+certifi==2025.11.12 ; python_version >= "3.12" and python_version < "4.0"
+cffi==2.0.0 ; python_version >= "3.12" and python_version < "4.0" and platform_python_implementation != "PyPy"
+charset-normalizer==3.4.4 ; python_version >= "3.12" and python_version < "4.0"
+click==8.3.1 ; python_version >= "3.12" and python_version < "4.0"
+cloudpickle==3.1.2 ; python_version >= "3.12" and python_version < "4.0"
+colorama==0.4.6 ; python_version >= "3.12" and python_version < "4.0" and (platform_system == "Windows" or sys_platform == "win32")
+contourpy==1.3.3 ; python_version >= "3.12" and python_version < "4.0"
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+gradio-client==2.0.2 ; python_version >= "3.12" and python_version < "4.0"
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+greenlet==3.3.0 ; python_version >= "3.12" and python_version < "4.0" and (platform_machine == "aarch64" or platform_machine == "ppc64le" or platform_machine == "x86_64" or platform_machine == "amd64" or platform_machine == "AMD64" or platform_machine == "win32" or platform_machine == "WIN32")
+groovy==0.1.2 ; python_version >= "3.12" and python_version < "4.0"
+gunicorn==23.0.0 ; python_version >= "3.12" and python_version < "4.0" and platform_system != "Windows"
+h11==0.16.0 ; python_version >= "3.12" and python_version < "4.0"
+hf-xet==1.2.0 ; python_version >= "3.12" and python_version < "4.0" and (platform_machine == "x86_64" or platform_machine == "amd64" or platform_machine == "AMD64" or platform_machine == "arm64" or platform_machine == "aarch64")
+httpcore==1.0.9 ; python_version >= "3.12" and python_version < "4.0"
+httptools==0.7.1 ; python_version >= "3.12" and python_version < "4.0"
+httpx==0.28.1 ; python_version >= "3.12" and python_version < "4.0"
+huey==2.5.5 ; python_version >= "3.12" and python_version < "4.0"
+huggingface-hub==1.2.3 ; python_version >= "3.12" and python_version < "4.0"
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+mlflow-tracing==3.8.1 ; python_version >= "3.12" and python_version < "4.0"
+mlflow==3.8.1 ; python_version >= "3.12" and python_version < "4.0"
+numpy==2.4.0 ; python_version >= "3.12" and python_version < "4.0"
+nvidia-nccl-cu12==2.28.9 ; python_version >= "3.12" and python_version < "4.0" and platform_system == "Linux" and platform_machine != "aarch64"
+opentelemetry-api==1.39.1 ; python_version >= "3.12" and python_version < "4.0"
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+opentelemetry-sdk==1.39.1 ; python_version >= "3.12" and python_version < "4.0"
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+pandas==2.3.3 ; python_version >= "3.12" and python_version < "4.0"
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+protobuf==6.33.2 ; python_version >= "3.12" and python_version < "4.0"
+psycopg2-binary==2.9.9 ; python_version >= "3.12" and python_version < "4.0"
+pyarrow==22.0.0 ; python_version >= "3.12" and python_version < "4.0"
+pyasn1-modules==0.4.2 ; python_version >= "3.12" and python_version < "4.0"
+pyasn1==0.6.1 ; python_version >= "3.12" and python_version < "4.0"
+pycparser==2.23 ; python_version >= "3.12" and python_version < "4.0" and platform_python_implementation != "PyPy" and implementation_name != "PyPy"
+pydantic-core==2.41.5 ; python_version >= "3.12" and python_version < "4.0"
+pydantic==2.12.5 ; python_version >= "3.12" and python_version < "4.0"
+pydub==0.25.1 ; python_version >= "3.12" and python_version < "4.0"
+pygments==2.19.2 ; python_version >= "3.12" and python_version < "4.0"
+pyparsing==3.3.1 ; python_version >= "3.12" and python_version < "4.0"
+python-dateutil==2.9.0.post0 ; python_version >= "3.12" and python_version < "4.0"
+python-dotenv==1.0.0 ; python_version >= "3.12" and python_version < "4.0"
+python-json-logger==4.0.0 ; python_version >= "3.12" and python_version < "4.0"
+python-multipart==0.0.21 ; python_version >= "3.12" and python_version < "4.0"
+pytz==2025.2 ; python_version >= "3.12" and python_version < "4.0"
+pywin32==311 ; python_version >= "3.12" and python_version < "4.0" and sys_platform == "win32"
+pyyaml==6.0.3 ; python_version >= "3.12" and python_version < "4.0"
+requests==2.32.5 ; python_version >= "3.12" and python_version < "4.0"
+rich==14.2.0 ; python_version >= "3.12" and python_version < "4.0"
+rsa==4.9.1 ; python_version >= "3.12" and python_version < "4.0"
+safehttpx==0.1.7 ; python_version >= "3.12" and python_version < "4.0"
+scikit-learn==1.6.1 ; python_version >= "3.12" and python_version < "4.0"
+scipy==1.16.3 ; python_version >= "3.12" and python_version < "4.0"
+semantic-version==2.10.0 ; python_version >= "3.12" and python_version < "4.0"
+shellingham==1.5.4 ; python_version >= "3.12" and python_version < "4.0"
+six==1.17.0 ; python_version >= "3.12" and python_version < "4.0"
+sklearn-compat==0.1.5 ; python_version >= "3.12" and python_version < "4.0"
+slowapi==0.1.9 ; python_version >= "3.12" and python_version < "4.0"
+smmap==5.0.2 ; python_version >= "3.12" and python_version < "4.0"
+sqlalchemy==2.0.23 ; python_version >= "3.12" and python_version < "4.0"
+sqlparse==0.5.5 ; python_version >= "3.12" and python_version < "4.0"
+starlette==0.50.0 ; python_version >= "3.12" and python_version < "4.0"
+threadpoolctl==3.6.0 ; python_version >= "3.12" and python_version < "4.0"
+tomlkit==0.13.3 ; python_version >= "3.12" and python_version < "4.0"
+tqdm==4.67.1 ; python_version >= "3.12" and python_version < "4.0"
+typer-slim==0.21.0 ; python_version >= "3.12" and python_version < "4.0"
+typer==0.21.0 ; python_version >= "3.12" and python_version < "4.0"
+typing-extensions==4.15.0 ; python_version >= "3.12" and python_version < "4.0"
+typing-inspection==0.4.2 ; python_version >= "3.12" and python_version < "4.0"
+tzdata==2025.3 ; python_version >= "3.12" and python_version < "4.0"
+urllib3==2.6.2 ; python_version >= "3.12" and python_version < "4.0"
+uvicorn==0.32.1 ; python_version >= "3.12" and python_version < "4.0"
+uvloop==0.22.1 ; python_version >= "3.12" and python_version < "4.0" and sys_platform != "win32" and sys_platform != "cygwin" and platform_python_implementation != "PyPy"
+waitress==3.0.2 ; python_version >= "3.12" and python_version < "4.0" and platform_system == "Windows"
+watchfiles==1.1.1 ; python_version >= "3.12" and python_version < "4.0"
+websockets==15.0.1 ; python_version >= "3.12" and python_version < "4.0"
+werkzeug==3.1.4 ; python_version >= "3.12" and python_version < "4.0"
+wrapt==2.0.1 ; python_version >= "3.12" and python_version < "4.0"
+xgboost==2.1.4 ; python_version >= "3.12" and python_version < "4.0"
+zipp==3.23.0 ; python_version >= "3.12" and python_version < "4.0"