import pymysql
import pandas as pd
from sqlalchemy import create_engine
import os
from dotenv import load_dotenv

from dotenv import load_dotenv, find_dotenv

# Tự động tìm file .env gần nhất trong cây thư mục cha
load_dotenv(find_dotenv(), override=True)


DB_HOST = os.getenv("DB_HOST")
DB_USER = os.getenv("DB_USER")
DB_PASSWORD = os.getenv("DB_PASSWORD")
DB_NAME =  os.getenv("DB_NAME")
DB_PORT =  os.getenv("DB_PORT")

# Tạo connection string
import os
from urllib.parse import quote

password = os.getenv("DB_PASSWORD")
DB_PASSWORD = quote(password)
# Tạo connection string
connection_uri = f"mysql+pymysql://{DB_USER}:{DB_PASSWORD}@{DB_HOST}:{DB_PORT}/{DB_NAME}"
# db_url = "mysql+pymysql://root@127.0.0.1:3306/demohmdrinks" 
db_url = connection_uri
engine = create_engine(db_url)


# # Kết nối đến MySQL
# conn = pymysql.connect(
#     host="localhost",
#     user="root",
#     password="Yahana0509@",
#     database="demohmdrinks",
#     port=4000,
#     charset="utf8mb4"
# )


async def get_data_recommend():
    #Lây danh sách yêu thích
    query_favourite_items = """
SELECT f.user_id, fi.pro_id
FROM favourite_item fi
JOIN favourite f ON fi.fav_id = f.fav_id
JOIN product p ON fi.pro_id = p.pro_id
WHERE  p.is_deleted = FALSE;
"""
    df_favourite_items = pd.read_sql(query_favourite_items, con=engine)
    favourite_items_data = {
    "user_id": df_favourite_items["user_id"].tolist(),
    "product_id": df_favourite_items["pro_id"].tolist()
}
    
    #Lấy danh sách Rating
    query_rating = """ SELECT re.user_id, re.pro_id, re.rating_star 
    FROM review re 
    JOIN product p ON re.pro_id = p.pro_id
    WHERE  p.is_deleted = FALSE AND re.is_deleted = FALSE ;"""
    df_rating = pd.read_sql(query_rating, con=engine)
    reviews_data = {
    "user_id": df_rating["user_id"].tolist(),
    "product_id": df_rating["pro_id"].tolist(),
    "rating": df_rating["rating_star"].tolist()
}
    
    #Lấy danh sách sản phẩm
    query_products = """
    SELECT p.pro_id, p.pro_name, c.cate_name AS category
    FROM product p
    JOIN category c ON p.category_id = c.cate_id
    WHERE p.is_deleted = FALSE;
"""
    df_products = pd.read_sql(query_products, con=engine)
    products_data = {
    "product_id": df_products["pro_id"].tolist(),
    "name": df_products["pro_name"].tolist(),
    "category": df_products["category"].tolist()
}
    
    #Lấy lịch sử mua hàng
    query_item_cart_new = """
SELECT c.user_id, ci.pro_id
FROM cart c
JOIN cart_item ci ON c.cart_id = ci.cart_id
JOIN product p ON ci.pro_id = p.pro_id
WHERE 
  c.status = 'NEW'
  AND ci.is_deleted = FALSE
  AND p.is_deleted = FALSE;
    """
    df_cart_new_items= pd.read_sql(query_item_cart_new, con=engine)
    cart_new_items_data = {
    "user_id": df_cart_new_items["user_id"].tolist(),
    "product_id": df_cart_new_items["pro_id"].tolist()
}
    
    query_history = """
SELECT o.user_id, ci.pro_id AS product_id
FROM `orders` o
JOIN order_item oi ON o.order_id = oi.order_id
JOIN cart c ON oi.cart_id = c.cart_id
JOIN cart_item ci ON c.cart_id = ci.cart_id
JOIN product pro ON pro.pro_id = ci.pro_id
JOIN payments p ON o.order_id = p.order_id
WHERE o.status = 'CONFIRMED'
  AND p.status = 'SUCCESS'
  AND pro.is_deleted = FALSE

UNION ALL

SELECT c.user_id, ci.pro_id AS product_id
FROM cart c
JOIN cart_item ci ON c.cart_id = ci.cart_id
ORDER BY user_id, product_id;
"""

# Đọc dữ liệu vào DataFrame
    df_history = pd.read_sql(query_history, con=engine)
    order_history_data = {
    "user_id": df_history["user_id"].tolist(),
    "product_id": df_history["product_id"].tolist()
}
    
    return favourite_items_data,reviews_data,products_data,order_history_data,cart_new_items_data