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

class OptimisingAssetsBase(BaseModel):
    optimising_id  : int | None = Field(default=None)
    space_resources_for_income : str | None = Field(default=None)
    non_space_resources_for_income : str | None = Field(default=None)
    percentage_of_sales  : float | None = Field(default=None)
    predictions_around_changes : str | None = Field(default=None)
    changes_in_marketing_communication : str | None = Field(default=None)
    group_id  : int | None = Field(default=None)

class TblOptimisingAssets(Base):
    __tablename__ = "tbl_optimising_assets"
    optimising_id : Mapped[int] = mapped_column("optimising_id", Integer, primary_key=True, autoincrement=True)
    space_resources_for_income : Mapped[list[str]] = mapped_column("space_resources_for_income", JSON, nullable=True, server_default=None)
    non_space_resources_for_income : Mapped[list[str]] = mapped_column("non_space_resources_for_income", JSON, nullable=True, server_default=None)
    percentage_of_sales : Mapped[float] = mapped_column("percentage_of_sales", Float, nullable=False, server_default=None)
    predictions_around_changes : Mapped[list[str]] = mapped_column("predictions_around_changes", JSON, nullable=True, server_default=None)
    changes_in_marketing_communication : Mapped[str] = mapped_column("changes_in_marketing_communication", Text, nullable=True, server_default=None)
    group_id : Mapped[int] = mapped_column("group_id", Integer, ForeignKey("tbl_group.group_id"))
    
    group = relationship("TblGroup", back_populates="optimising_assets")
    
    @classmethod
    def create_optimising_assets(cls, data:OptimisingAssetsBase, db:Session) ->"TblOptimisingAssets":
        data_dict = cls(**data.model_dump())
        db.add(data_dict)
        db.flush()
        return data_dict
    
    @classmethod
    def get_optimising_assets(cls, group_id:int, db:Session) ->"TblOptimisingAssets":
        get_data = db.query(cls).filter(cls.group_id == group_id).all()
        return get_data
    
    @classmethod
    def update_optimising_assets(cls, update_id:int, data:OptimisingAssetsBase, db:Session) ->"TblOptimisingAssets":
        update_data = db.query(cls).filter(cls.optimising_id == 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_optimising_assets(cls, optimising_id:int, db:Session) ->"TblOptimisingAssets":
        delete_data = db.query(cls).filter(cls.optimising_id == optimising_id).first()
        if not delete_data:
            return False
        db.delete(delete_data)
        db.commit()
        return True