from sqlalchemy import insert, delete
from sqlalchemy.orm import Session
from sqlalchemy.exc import SQLAlchemyError
from backend.app.db.models.recommendations import (
    Plan, Recommendation, RecommendationMaterials, PlanRecommendations, Scenario
)
from backend.app.db.models.portfolio import (
    PropertyModel, PropertyTargetsModel, PropertyDetailsMeter, PropertyDetailsEpcModel
)


def create_plan(session: Session, plan):
    """
    This function will create a record for the plan in the database if it does not exist.
    :param session: The database session
    :param plan: dictionary of data representing a plan to be created
    """
    try:
        new_plan = Plan(**plan)
        session.add(new_plan)
        session.flush()
        session.commit()
        return new_plan.id
    except SQLAlchemyError as e:
        session.rollback()
        raise e


def create_scenario(session: Session, scenario):
    """
    This function will create a record for the scenario in the database if it does not exist.
    :param session: The database session
    :param scenario: dictionary of data representing a scenario to be created
    """
    try:

        # Before creating a new scenario, we check if there is a scenario for this portfolio id already
        # If there is, it means that any new scnario created will NOT be the default scenario
        existing_scenario = session.query(Scenario).filter_by(portfolio_id=scenario["portfolio_id"]).first()
        scenario["is_default"] = True if not existing_scenario else False

        new_scenario = Scenario(**scenario)
        session.add(new_scenario)
        session.flush()
        session.commit()
        return new_scenario
    except SQLAlchemyError as e:
        session.rollback()
        raise e


def create_recommendation(session: Session, recommendation):
    """
    This function will create a record for the recommendation in the database if it does not exist.
    :param session: The database session
    :param recommendation: dictionary of data representing a recommendation to be created
    """
    try:
        new_recommendation = Recommendation(**recommendation)
        session.add(new_recommendation)
        session.flush()
        session.commit()
        return new_recommendation.id
    except SQLAlchemyError as e:
        session.rollback()
        raise e


def create_recommendation_material(session: Session, recommendation_id, material_id, depth):
    """
    This function will create a record for the recommendation_material in the database if it does not exist.
    :param session: The databse session
    :param recommendation_id: ID of the recommendation
    :param material_id: ID of the material
    :param depth: depth of the material, may be null if a material where depth is not applicable
    """

    new_recommendation_material = RecommendationMaterials(
        recommendation_id=recommendation_id,
        material_id=material_id,
        depth=depth
    )
    session.add(new_recommendation_material)
    session.flush()

    return new_recommendation_material.id


def create_plan_recommendations(session: Session, plan_id, recommendation_ids):
    """
    This function will create records for the plan_recommendation in the database.
    :param session: The database session
    :param plan_id: ID of the plan
    :param recommendation_ids: list of recommendation IDs
    """

    # Prepare a list of dictionaries for bulk insert
    data = [{"plan_id": plan_id, "recommendation_id": rid} for rid in recommendation_ids]

    # Bulk insert using SQLAlchemy's core API
    session.execute(insert(PlanRecommendations).values(data))


def upload_recommendations(session: Session, recommendations_to_upload, property_id, new_plan_id):
    try:
        # Prepare data for bulk insert for Recommendation
        recommendations_data = [
            {
                "property_id": property_id,
                "type": rec["type"],
                "measure_type": rec["measure_type"],
                "description": rec["description"],
                "estimated_cost": float(rec["total"]),
                "default": rec["default"],
                "starting_u_value": float(rec.get("starting_u_value")) if rec.get("starting_u_value") else None,
                "new_u_value": float(rec.get("new_u_value")) if rec.get("new_u_value") else None,
                "sap_points": float(rec["sap_points"]),
                "energy_savings": float(rec["heat_demand"]),
                "kwh_savings": float(rec["kwh_savings"]),
                "co2_equivalent_savings": float(rec["co2_equivalent_savings"]),
                "total_work_hours": float(rec["labour_hours"]),
                "energy_cost_savings": float(rec["energy_cost_savings"]),
                "labour_days": float(rec["labour_days"]),
                "already_installed": rec["already_installed"],
                "heat_demand": float(rec["heat_demand"])
            }
            for rec in recommendations_to_upload
        ]

        # Insert the recommendations, get back the IDs
        stmt = insert(Recommendation).returning(Recommendation.id).values(recommendations_data)
        result = session.execute(stmt)
        uploaded_recommendation_ids = [row[0] for row in result]

        # Prepare data for bulk insert for RecommendationMaterials
        recommendation_materials_data = [
            {
                "recommendation_id": recommendation_id,
                "material_id": part["id"],
                "depth": int(part["depth"]) if part["depth"] else None,
                "quantity": float(part["quantity"]),
                "quantity_unit": part["quantity_unit"],
                "estimated_cost": part["total"],
            }
            for rec, recommendation_id in zip(recommendations_to_upload, uploaded_recommendation_ids)
            for part in rec["parts"]
        ]

        session.bulk_insert_mappings(RecommendationMaterials, recommendation_materials_data)

        # flush the changes to get the newly created IDs
        session.flush()

        create_plan_recommendations(
            session, plan_id=new_plan_id, recommendation_ids=uploaded_recommendation_ids
        )

        # Commit the transaction
        session.commit()

        return True

    except SQLAlchemyError as e:
        # Rollback the transaction in case of an error
        session.rollback()
        print(f"An error occurred: {e}")
        return False


def clear_portfolio(session: Session, portfolio_id: int):
    # Fetch all property IDs associated with the given portfolio
    property_ids = session.query(PropertyModel.id).filter(PropertyModel.portfolio_id == portfolio_id).all()
    property_ids = [p.id for p in property_ids]

    # Fetch all recommendation IDs associated with the properties
    recommendation_ids = session.query(Recommendation.id).filter(Recommendation.property_id.in_(property_ids)).all()
    recommendation_ids = [r.id for r in recommendation_ids]

    # Delete all entries from RecommendationMaterials for these recommendations
    session.execute(
        delete(RecommendationMaterials).where(RecommendationMaterials.recommendation_id.in_(recommendation_ids))
    )

    # Delete all entries from PlanRecommendations that reference plans in the portfolio
    session.execute(delete(PlanRecommendations).where(PlanRecommendations.plan_id.in_(
        session.query(Plan.id).filter(Plan.portfolio_id == portfolio_id).subquery().as_scalar()
    )))

    # Delete all Plans associated with the portfolio
    session.execute(delete(Plan).where(Plan.portfolio_id == portfolio_id))

    # Delete all Scenarios associated with the portfolio
    session.execute(delete(Scenario).where(Scenario.portfolio_id == portfolio_id))

    # Delete all Recommendations associated with the properties
    session.execute(delete(Recommendation).where(Recommendation.property_id.in_(property_ids)))

    # Now, delete the PropertyModels and related details
    # Delete PropertyTargetsModel, PropertyDetailsMeter, PropertyDetailsEpcModel, and PropertyModel
    session.execute(delete(PropertyTargetsModel).where(PropertyTargetsModel.portfolio_id == portfolio_id))
    # session.execute(delete(PropertyDetailsMeter).where(PropertyDetailsMeter.uprn.in_(property_ids)))
    session.execute(delete(PropertyDetailsEpcModel).where(PropertyDetailsEpcModel.portfolio_id == portfolio_id))
    session.execute(delete(PropertyModel).where(PropertyModel.portfolio_id == portfolio_id))

    # Commit the changes
    session.commit()