deploy-machine-learning / src /models /employee_dataset.py
marintosti12
fix (linter) : fix linter if
1310d90
import sqlalchemy as sa
from datetime import datetime
from sqlalchemy.orm import Mapped, mapped_column
from sqlalchemy import BigInteger, Integer, String, DateTime
from .base import Base
class EmployeeDataset(Base):
__tablename__ = "employee_dataset"
id: Mapped[int] = mapped_column(BigInteger, primary_key=True, autoincrement=True)
created_at: Mapped[datetime] = mapped_column(
DateTime(timezone=True),
server_default=sa.text("timezone('utc', now())"),
nullable=False,
)
id_employee: Mapped[int] = mapped_column(Integer, index=True, nullable=False)
age: Mapped[int] = mapped_column(Integer)
genre: Mapped[str] = mapped_column(String(20))
revenu_mensuel: Mapped[int] = mapped_column(Integer)
statut_marital: Mapped[str] = mapped_column(String(50))
departement: Mapped[str] = mapped_column(String(100), index=True)
poste: Mapped[str] = mapped_column(String(100))
nombre_experiences_precedentes: Mapped[int] = mapped_column(Integer)
nombre_heures_travailless: Mapped[int] = mapped_column(Integer)
annee_experience_totale: Mapped[int] = mapped_column(Integer)
annees_dans_l_entreprise: Mapped[int] = mapped_column(Integer)
annees_dans_le_poste_actuel: Mapped[int] = mapped_column(Integer)
a_quitte_l_entreprise: Mapped[int] = mapped_column(Integer)
nombre_participation_pee: Mapped[int] = mapped_column(Integer)
nb_formations_suivies: Mapped[int] = mapped_column(Integer)
nombre_employee_sous_responsabilite: Mapped[int] = mapped_column(Integer)
code_sondage: Mapped[int] = mapped_column(Integer)
distance_domicile_travail: Mapped[int] = mapped_column(Integer)
niveau_education: Mapped[int] = mapped_column(Integer)
domaine_etude: Mapped[str] = mapped_column(String(100))
ayant_enfants: Mapped[str] = mapped_column(String(10))
frequence_deplacement: Mapped[str] = mapped_column(String(50))
annees_depuis_la_derniere_promotion: Mapped[int] = mapped_column(Integer)
annes_sous_responsable_actuel: Mapped[int] = mapped_column(Integer)
satisfaction_employee_environnement: Mapped[int] = mapped_column(Integer)
note_evaluation_precedente: Mapped[int] = mapped_column(Integer)
niveau_hierarchique_poste: Mapped[int] = mapped_column(Integer)
satisfaction_employee_nature_travail: Mapped[int] = mapped_column(Integer)
satisfaction_employee_equipe: Mapped[int] = mapped_column(Integer)
satisfaction_employee_equilibre_pro_perso: Mapped[int] = mapped_column(Integer)
eval_number: Mapped[str] = mapped_column(String(50), index=True)
note_evaluation_actuelle: Mapped[int] = mapped_column(Integer)
heure_supplementaires: Mapped[str] = mapped_column(String(10))
augementation_salaire_precedente: Mapped[int] = mapped_column(Integer)
source_file: Mapped[str | None] = mapped_column(String(255), nullable=True)