Exemplo n.º 1
0
def get_substitutes(product):
    cursor = connexion.cursor(pymysql.cursors.DictCursor)
    s_products = []
    if product.nutrition_grade == "d" or product.nutrition_grade == "e":
        cursor.execute(
            """SELECT * FROM product WHERE category LIKE %s AND nutrition_grade="a" 
                        OR category LIKE %s AND nutrition_grade="b"
                        OR category LIKE %s AND nutrition_grade="c" """,
            (product.category, product.category, product.category))
        result = cursor.fetchall()
        for element in result:
            s_products.append(
                cl.Product(element['name'], element['store'],
                           element['nutrition_grade'], element['url'],
                           element['category']))
        return s_products

    else:
        cursor.execute(
            """SELECT * FROM product WHERE category LIKE %s AND nutrition_grade="a" """,
            (product.category))
        result = cursor.fetchall()
        for element in result:
            s_products.append(
                cl.Product(element['name'], element['store'],
                           element['nutrition_grade'], element['url'],
                           element['category']))
        return s_products
Exemplo n.º 2
0
def fill_product():
    page = 1
    cursor = connexion.cursor(pymysql.cursors.DictCursor)
    for page in range(1, 30):
        result = requests.get(
            'https://fr.openfoodfacts.org/cgi/search.pl?page_size=1000&page={}&action=process&json=1'
            .format(page)).json()
        for element in result['products']:
            try:
                product_info = (element["product_name"], element["stores"],
                                element["nutrition_grade_fr"], element["url"],
                                element['categories_tags'][0])
                products_list.append(
                    cl.Product(element["product_name"], element["stores"],
                               element["nutrition_grade_fr"], element["url"],
                               element['categories_tags'][0]))
                cursor.execute("INSERT INTO product" "(name, store, nutrition_grade, url, category)"\
                "VALUES (%s, %s, %s, %s, %s)", product_info)
                connexion.commit()
                print(len(products_list), " products")
            except KeyError:  #Don't take lignes without 'product_name'
                pass
            except connexion.OperationalError:  #Don't take the products with encoding error
                pass
            except connexion.DataError:  #Pass when product name is too long
                pass
Exemplo n.º 3
0
def get_products_from_favorite():
    cursor = connexion.cursor(pymysql.cursors.DictCursor)
    cursor.execute("SELECT * FROM favorite")
    result = cursor.fetchall()
    cursor.close()
    favorite_db_products = []
    for element in result:
        favorite_db_products.append(
            cl.Product(element['name'], element['store'],
                       element['nutrition_grade'], element['url'],
                       element['category']))
    return favorite_db_products
Exemplo n.º 4
0
def select_products_from_category(category):

    cursor = connexion.cursor(pymysql.cursors.DictCursor)
    cursor.execute("""SELECT * FROM product WHERE category LIKE %s """,
                   (category))
    result = cursor.fetchall()
    category_products = []
    for element in result:
        category_products.append(
            cl.Product(element['name'], element['store'],
                       element['nutrition_grade'], element['url'],
                       element['category']))
    return category_products
Exemplo n.º 5
0
def get_products_from_db():
    """Get a list of products from the database"""
    cursor = connexion.cursor(pymysql.cursors.DictCursor)
    cursor.execute("SELECT * FROM product")
    result = cursor.fetchall()
    cursor.close()

    db_products = []
    for element in result:
        db_products.append(
            cl.Product(element['name'], element['store'],
                       element['nutrition_grade'], element['url'],
                       element['category']))
    return db_products