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

class CompetitorAnalysisBase(BaseModel):

    competitor_id : int | None = Field(default=None)
    reference_competitor: str | None = Field(default=None)
    number_of_categories_stocked: int | None = Field(default=None)
    key_categories_stocked: str | None = Field(default=None)
    key_observations_on_stocking: str | None = Field(default=None)
    other_remarks_stocking: str | None = Field(default=None)
    research_methodology: str | None = Field(default=None)
    observations_on_shopping_behaviors: str | None = Field(default=None)
    other_remarks_behavior: str | None = Field(default=None)
    group_id : int | None = Field(default=None)

class TblCompetitorAnalysis(Base):

    __tablename__ = "tbl_competitor_analysis"

    competitor_id: Mapped[int] = mapped_column(primary_key=True, autoincrement=True)
    reference_competitor: Mapped[str] = mapped_column(String(255), nullable=False)
    number_of_categories_stocked: Mapped[int] = mapped_column(nullable=False)
    key_categories_stocked: Mapped[str] = mapped_column(String(1000), nullable=False)
    key_observations_on_stocking: Mapped[str] = mapped_column(String(1000), nullable=False)
    other_remarks_stocking: Mapped[str] = mapped_column(String(1000), nullable=True)
    research_methodology: Mapped[str] = mapped_column(String(1000), nullable=False)
    observations_on_shopping_behaviors: Mapped[str] = mapped_column(String(1000), nullable=False)
    other_remarks_behavior: Mapped[str] = mapped_column(String(1000), nullable=True)
    group_id: Mapped[int] = mapped_column(Integer, ForeignKey("tbl_group.group_id"), nullable=False)

    group = relationship("TblGroup", back_populates="competitor_analysis")

    @classmethod
    def create(cls, data:CompetitorAnalysisBase, db: Session) -> "TblCompetitorAnalysis":
        data_dict = data.model_dump()
        new_entry = cls(**data_dict)
        db.add(new_entry)
        db.flush()
        return new_entry