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

class CompetitorPricingAnalysisBase(BaseModel):
    
    competitor_id : int | None = Field(default=None)
    reference_competitor : str | None = Field(default=None)
    pricing_strategy : str | None = Field(default=None)
    which_category_generates_the_most_income_for_the_store : str | None = Field(default=None)
    key_observation_around_pricing_in_the_store : str | None = Field(default=None)
    other_remarks : str | None = Field(default=None)
    group_id : int | None = Field(default=None)

class TblCompetitorPricingAnalysis(Base):
    __tablename__ = "tbl_competitor_pricing_analysis"
    
    competitor_id : Mapped[int] = mapped_column("competitor_id", Integer, primary_key=True, autoincrement=True)
    reference_competitor : Mapped[str] = mapped_column("reference_competitor",VARCHAR(255), nullable=True, server_default=None)
    pricing_strategy : Mapped[str] = mapped_column("pricing_strategy", VARCHAR(255), nullable=True, server_default=None)
    which_category_generates_the_most_income_for_the_store : Mapped[str] = mapped_column("which_category_generates_the_most_income_for_the_store", VARCHAR(255), nullable=True, server_default=None)
    key_observation_around_pricing_in_the_store : Mapped[str] = mapped_column("key_observation_around_pricing_in_the_store", VARCHAR(255), nullable=True, server_default=None)
    other_remarks : Mapped[str] = mapped_column("other_remarks", VARCHAR(255), nullable=True, server_default=None)
    group_id : Mapped[int] = mapped_column("group_id", Integer, ForeignKey("tbl_group.group_id"))
    
    group = relationship("TblGroup", back_populates="competitor_pricing_analysis")
    
    @classmethod
    def create_competitor_pricing_analysis(cls, data:CompetitorPricingAnalysisBase, db:Session) ->"TblCompetitorPricingAnalysis":
        data_dict = data.model_dump()
        new_data = cls(**data_dict)
        db.add(new_data)
        db.flush()
        return new_data
    
    @classmethod
    def get_competitor_pricing_analysis(cls, competitor_get_id:int, db:Session) ->"TblCompetitorPricingAnalysis":
        get_data = db.query(cls).filter(cls.competitor_id == competitor_get_id).first()
        return get_data
    
    @classmethod
    def update_competitor_pricing_analysis(cls, competitor_update_id:int, data:CompetitorPricingAnalysisBase, db:Session) ->"TblCompetitorPricingAnalysis":
        update_data = db.query(cls).filter(cls.competitor_id == competitor_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_competitor_pricing_analysis(cls, group_id:int, db:Session) ->"TblCompetitorPricingAnalysis":
        delete_data = db.query(cls).filter(cls.group_id == group_id).all()
        if not delete_data:
            return False
        for delete in delete_data:
            db.delete(delete)
            db.commit()
        return True