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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 |