import sqlite3
from typing import List, Dict, Any, Optional
from loguru import logger as log

def get_all_categories_with_attributes(db_name: str = 'pipe_store.db') -> List[Dict[str, Any]]:
    conn = sqlite3.connect(db_name)
    conn.row_factory = sqlite3.Row
    cursor = conn.cursor()
    
    try:
        # Получаем все категории (только основные, без parent_id)
        cursor.execute("""
            SELECT id, name, image_path 
            FROM categories 
            WHERE parent_id IS NULL OR parent_id = 1
            ORDER BY id
        """)
        
        categories = []
        
        for cat_row in cursor.fetchall():
            category_id = cat_row['id']
            
            # Получаем все фильтры для товаров в этой категории
            cursor.execute("""
                SELECT DISTINCT f.id, f.name, f.filter_key
                FROM filters f
                WHERE f.filter_key IN (
                    SELECT DISTINCT pf.filter_key 
                    FROM product_filters pf
                    JOIN products p ON pf.product_id = p.id
                    WHERE p.category_id = ?
                )
                ORDER BY f.id
            """, (category_id,))
            
            attributes = []
            
            for filter_row in cursor.fetchall():
                filter_id = filter_row['id']
                filter_key = filter_row['filter_key']
                filter_name = filter_row['name']
                
                # Получаем уникальные значения для этого фильтра
                cursor.execute("""
                    SELECT DISTINCT pf.value, COUNT(*) as count
                    FROM product_filters pf
                    JOIN products p ON pf.product_id = p.id
                    WHERE p.category_id = ? AND pf.filter_key = ?
                    GROUP BY pf.value
                    ORDER BY pf.value
                """, (category_id, filter_key))
                
                vals = []
                for val_row in cursor.fetchall():
                    # Генерируем уникальный ID для значения
                    val_id = hash(f"{category_id}_{filter_key}_{val_row['value']}") % 1000000
                    vals.append({
                        "id": val_id,
                        "val": val_row['value']
                    })
                
                if vals:  # Добавляем только если есть значения
                    attributes.append({
                        "id": filter_id,
                        "name": filter_name,
                        "vals": vals
                    })
            
            categories.append({
                "id": category_id,
                "name": cat_row['name'],
                "image": cat_row['image_path'] or f"/images/categories/{cat_row['name'].lower().replace(' ', '_')}.jpg",
                "atributes": attributes
            })
        
        return categories
        
    except sqlite3.Error as e:
        log.error(f"Ошибка при получении категорий: {e}")
        return []
    finally:
        conn.close()

def get_category_by_id(category_id: int, db_name: str = 'pipe_store.db') -> Optional[Dict[str, Any]]:
    """Получить категорию по ID"""
    conn = sqlite3.connect(db_name)
    conn.row_factory = sqlite3.Row
    cursor = conn.cursor()
    
    try:
        cursor.execute("""
            SELECT id, name, description, image_path, parent_id
            FROM categories 
            WHERE id = ?
        """, (category_id,))
        
        row = cursor.fetchone()
        if row:
            return {
                "id": row['id'],
                "name": row['name'],
                "description": row['description'],
                "image": row['image_path'],
                "parent_id": row['parent_id']
            }
        return None
        
    except sqlite3.Error as e:
        log.error(f"Ошибка при получении категории {category_id}: {e}")
        return None
    finally:
        conn.close()