from __future__ import annotations

import json

from sqlalchemy.exc import IntegrityError
from sqlalchemy.orm import Session

from backend.app.db import models, schemas


"""
CRUD minimal pour manipuler les produits dans la base SQLite.
"""


def get_product(db: Session, product_id: int) -> models.Product | None:
    return db.query(models.Product).filter(models.Product.id == product_id).first()


def list_products(db: Session, skip: int = 0, limit: int = 100) -> list[models.Product]:
    return db.query(models.Product).offset(skip).limit(limit).all()


def create_product(db: Session, data: schemas.ProductCreate) -> models.Product:
    # Convertir les HttpUrl en strings pour SQLite
    data_dict = data.model_dump()
    if data_dict.get("url"):
        data_dict["url"] = str(data_dict["url"])
    if data_dict.get("url_image"):
        data_dict["url_image"] = str(data_dict["url_image"])

    product = models.Product(**data_dict)
    db.add(product)
    try:
        db.commit()
    except IntegrityError:
        db.rollback()
        raise
    db.refresh(product)
    return product


def create_product_with_snapshot(
    db: Session, data: schemas.ProductCreateWithSnapshot
) -> models.Product:
    """Crée un produit avec un snapshot initial (données issues de la prévisualisation)."""
    data_dict = data.model_dump()

    # Extraire les champs du snapshot
    snapshot_fields = [
        "prix_actuel",
        "prix_conseille",
        "prix_min_30j",
        "etat_stock",
        "en_stock",
        "note",
        "nombre_avis",
        "prime",
        "choix_amazon",
        "offre_limitee",
        "exclusivite_amazon",
        "a_propos",
        "description",
        "carateristique",
        "details",
    ]
    snapshot_data = {k: data_dict.pop(k) for k in snapshot_fields if k in data_dict}

    # Sérialiser les champs JSON pour le stockage
    if snapshot_data.get("a_propos") is not None:
        snapshot_data["a_propos"] = json.dumps(snapshot_data["a_propos"], ensure_ascii=False)
    if snapshot_data.get("carateristique") is not None:
        snapshot_data["carateristique"] = json.dumps(snapshot_data["carateristique"], ensure_ascii=False)
    if snapshot_data.get("details") is not None:
        snapshot_data["details"] = json.dumps(snapshot_data["details"], ensure_ascii=False)

    # Convertir les HttpUrl en strings pour SQLite
    if data_dict.get("url"):
        data_dict["url"] = str(data_dict["url"])
    if data_dict.get("url_image"):
        data_dict["url_image"] = str(data_dict["url_image"])

    # Créer le produit
    product = models.Product(**data_dict)
    db.add(product)
    try:
        db.commit()
    except IntegrityError:
        db.rollback()
        raise
    db.refresh(product)

    # Créer le snapshot initial si on a des données
    has_snapshot_data = any(v is not None for v in snapshot_data.values())
    if has_snapshot_data:
        snapshot = models.ProductSnapshot(
            produit_id=product.id,
            statut_scrap="preview",
            **snapshot_data,
        )
        db.add(snapshot)
        db.commit()

    return product


def update_product(db: Session, product: models.Product, changes: schemas.ProductUpdate) -> models.Product:
    for field, value in changes.dict(exclude_unset=True).items():
        setattr(product, field, value)
    db.add(product)
    db.commit()
    db.refresh(product)
    return product


def remove_product(db: Session, product: models.Product) -> None:
    db.delete(product)
    db.commit()


def list_snapshots(db: Session, product_id: int, limit: int = 30) -> list[models.ProductSnapshot]:
    return (
        db.query(models.ProductSnapshot)
        .filter(models.ProductSnapshot.produit_id == product_id)
        .order_by(models.ProductSnapshot.scrape_le.desc())
        .limit(limit)
        .all()
    )


def get_latest_snapshot(db: Session, product_id: int) -> models.ProductSnapshot | None:
    return (
        db.query(models.ProductSnapshot)
        .filter(models.ProductSnapshot.produit_id == product_id)
        .order_by(models.ProductSnapshot.scrape_le.desc())
        .first()
    )


def get_product_with_snapshot(db: Session, product_id: int) -> dict | None:
    """Retourne un produit enrichi avec les données du dernier snapshot."""
    product = get_product(db, product_id)
    if not product:
        return None
    return _enrich_product_with_snapshot(db, product)


def list_products_with_snapshots(db: Session, skip: int = 0, limit: int = 100) -> list[dict]:
    """Retourne la liste des produits enrichis avec leurs derniers snapshots."""
    products = list_products(db, skip=skip, limit=limit)
    return [_enrich_product_with_snapshot(db, p) for p in products]


def _enrich_product_with_snapshot(db: Session, product: models.Product) -> dict:
    """Ajoute les données du dernier snapshot au produit."""
    snapshot = get_latest_snapshot(db, product.id)

    result = {
        "id": product.id,
        "boutique": product.boutique,
        "url": str(product.url),
        "asin": product.asin,
        "titre": product.titre,
        "url_image": str(product.url_image) if product.url_image else None,
        "categorie": product.categorie,
        "type": product.type,
        "actif": product.actif,
        "cree_le": product.cree_le,
        "modifie_le": product.modifie_le,
    }

    if snapshot:
        # Calcul de la réduction en pourcentage
        reduction = None
        if snapshot.prix_actuel and snapshot.prix_conseille:
            reduction = round((1 - snapshot.prix_actuel / snapshot.prix_conseille) * 100)

        # Désérialiser les champs JSON
        a_propos = None
        if snapshot.a_propos:
            try:
                a_propos = json.loads(snapshot.a_propos)
            except json.JSONDecodeError:
                a_propos = None

        carateristique = None
        if snapshot.carateristique:
            try:
                carateristique = json.loads(snapshot.carateristique)
            except json.JSONDecodeError:
                carateristique = None

        details = None
        if snapshot.details:
            try:
                details = json.loads(snapshot.details)
            except json.JSONDecodeError:
                details = None

        result.update(
            {
                "prix_actuel": snapshot.prix_actuel,
                "prix_conseille": snapshot.prix_conseille,
                "prix_min_30j": snapshot.prix_min_30j,
                "reduction_pourcent": reduction,
                "etat_stock": snapshot.etat_stock,
                "en_stock": snapshot.en_stock,
                "note": snapshot.note,
                "nombre_avis": snapshot.nombre_avis,
                "prime": snapshot.prime,
                "choix_amazon": snapshot.choix_amazon,
                "offre_limitee": snapshot.offre_limitee,
                "exclusivite_amazon": snapshot.exclusivite_amazon,
                "a_propos": a_propos,
                "description": snapshot.description,
                "carateristique": carateristique,
                "details": details,
                "dernier_scrape": snapshot.scrape_le,
                "statut_scrap": snapshot.statut_scrap,
            }
        )

    return result