from pydantic import BaseModel, Field
from sqlalchemy.orm import Mapped, mapped_column, relationship, Session
from sqlalchemy import ForeignKey, Integer, VARCHAR, Enum, Float
from app.models.base_class import Base

class CorporateConceptOfficeBase(BaseModel):
    corporate_id : int | None = Field(default=None)
    role_category : str | None = Field(default=None)
    # office_type : str | None = Field(default=None)
    cost_to_company : float | None = Field(default=None)
    y1 : int | None = Field(default=None)
    y2 : int | None = Field(default=None)
    y3 : int | None = Field(default=None)
    y4 : int | None = Field(default=None)
    y5 : int | None = Field(default=None)
    group_id : int | None = Field(default=None)
    

class TblCorporateConceptOffice(Base):
    __tablename__ = "tbl_corporate_concept_office"
    corporate_id : Mapped[int] = mapped_column("corporate_id", Integer, primary_key=True, autoincrement=True)
    role_category : Mapped[str] = mapped_column("role_category", VARCHAR(255), nullable=True, server_default=None)
    # office_type : Mapped[str] = mapped_column("office_type", Enum("Corporate", "Concept"))
    cost_to_company : Mapped[Float] = mapped_column("cost_to_company", Float, nullable=True, server_default=None)
    y1 : Mapped[int] = mapped_column("y1", Integer, nullable=True, server_default=None)
    y2 : Mapped[int] = mapped_column("y2", Integer, nullable=True, server_default=None)
    y3 : Mapped[int] = mapped_column("y3", Integer, nullable=True, server_default=None)
    y4 : Mapped[int] = mapped_column("y4", Integer, nullable=True, server_default=None)
    y5 : Mapped[int] = mapped_column("y5", Integer, nullable=True, server_default=None)
    group_id : Mapped[int] = mapped_column("group_id", Integer, ForeignKey("tbl_group.group_id"))
    
    group = relationship("TblGroup", back_populates="corporate_concept_office")
    
    @classmethod
    def create_corporate_concept_office(cls, data:CorporateConceptOfficeBase, db:Session) ->"TblCorporateConceptOffice":
        data_dict = data.model_dump()
        new_data = cls(**data_dict)
        db.add(new_data)
        db.flush()
        return new_data
    
    @classmethod
    def get_corporate_concept_office(cls, group_id:int, db:Session) ->"TblCorporateConceptOffice":
        get_data = db.query(cls).filter(cls.group_id == group_id).all()
        return get_data
    
    @classmethod
    def update_corporate_concept_office(cls, corporate_update_id:int, data:CorporateConceptOfficeBase, db:Session) ->"TblCorporateConceptOffice":
        update_data = db.query(cls).filter(cls.corporate_id == corporate_update_id).first()
        data_dict = data.model_dump()
        for key, value in data_dict.items():
            if value is not None:
                setattr(update_data, key, value)
        db.commit()
        db.refresh(update_data)
        return update_data   
    
    @classmethod
    def delete_corporate_concept_office(cls, corporate_id:int, db:Session) ->"TblCorporateConceptOffice":
        delete_data = db.query(cls).filter(cls.corporate_id == corporate_id).first()
        if not delete_data:
            return False
        db.delete(delete_data)
        db.commit()
        return True