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

class ConsumerPreferencesResearchBase(BaseModel):
    
    consumer_id : int | None = Field(default=None)
    research_methodology : str | None = Field(default=None)
    shopping_behavior : str | None = Field(default=None)
    othesr_remark : str | None = Field(default=None)
    group_id : int | None = Field(default=None)

class TblConsumerPreferencesResearch(Base):
    
    __tablename__ = "tbl_consumer_preferences_research"
    consumer_id : Mapped[int] = mapped_column("consumer_id", Integer, primary_key=True, autoincrement=True)
    research_methodology : Mapped[str] = mapped_column("research_methodology", VARCHAR(255), nullable=True, server_default=None)
    shopping_behavior : Mapped[str] = mapped_column("shopping_behavior", VARCHAR(255), nullable=True, server_default=None)
    othesr_remark : Mapped[str] = mapped_column("others_remark", 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="consumer_preferences_research")
    
    @classmethod
    def create(cls, data:ConsumerPreferencesResearchBase, db:Session) ->"TblConsumerPreferencesResearch":
        data_dict = data.model_dump()
        new_data = cls(**data_dict)
        db.add(new_data)
        db.flush()
        return new_data
    
    @classmethod
    def get_consumer_preferences_research(cls, consumer_get_id:int, db:Session) ->"TblConsumerPreferencesResearch":
        get_data = db.query(cls).filter(cls.consumer_id == consumer_get_id).first()
        return get_data
    
    @classmethod
    def update_consumer_preferences_research(cls, consumer_update_id:int, data:ConsumerPreferencesResearchBase, db:Session) ->"TblConsumerPreferencesResearch":
        update_data = db.query(cls).filter(cls.consumer_id == consumer_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)
        
    @classmethod
    def delete_consumer_preferences_research(cls, consumer_id:int, db:Session) ->"TblConsumerPreferencesResearch":
        delete_data = db.query(cls).filter(cls.consumer_id == consumer_id).first()
        if not delete_data:
            return False
        db.delete(delete_data)
        db.commit()
        return True