csrfmiddlewaretoken:"{{ csrf_token }}"};//使用ajax向后端发送数据$.post('/cart/add/', req_data,function(response_data) {if(0==response_data.code) {//添加购物车成功的$(".add_jump").stop().animate({'left': $to_y+7,'top': $to_x+7},"fast",function() { $(".add_jump").f...
cart_2.add_to_cart() cart_3.add_to_cart() cart_1.create_template() cart_2.create_template() cart_3.create_template() 开发者ID:Mur3ph,项目名称:Python101,代码行数:18,代码来源:Application.py
'deliveryCityCode': '', 'frm': '', 'buyer_from': '', 'item_url_refer': '', 'root_refer': '', 'flushingPictureServiceId': '', 'spm': '', 'ybhpss': '' } request = urllib2.Request(add_cart_url + urllib.urlencode(params)) request.add_header('Accept', '*/*') request.a...
77 cart_table = prettytable.PrettyTable() 78 cart_table.field_names = ['Product_ID', 'Product_Name', 'Unit_Price','Product_Quantity'] 79 search_name = input('\033[1;36mEnter the product name you want to search in Check_out_list(Press[C]to Check_Out_List,[Q]to quit):\033[0m'...
created_at = models.DateTimeField(auto_now_add=True) last_updated = models.DateTimeField(auto_now=True) status = models.IntegerField(choices=ORDER_STATUS, default='1') Order类继承自Model,我们通过添加一个包含应用中订单状态的元组来开始这个类。我们还定义了一个外键order_customer,它将创建OrderCustomer...
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discount class Cart: '''定义购物车类''' def __init__(self): self.cart = {} self.goods_list = [] def add(self,goods,num=1): # 默认添加到购物车时数量+1 ''' 向购物车添加商品,当商品存在,则数量累加,若不存在则append商品,数量默认为1 ''' if goods in self.goods_list: self.cart...
type("input#postal-code", "77123") self.click("input#continue") self.click("button#finish") self.assert_text("Thank you for your order!")pytest test_get_swag.py (The default browser is --chrome if not set.) 📗 Here's test_coffee_cart.py, which verifies an e-commerce site:...
(self): str1 = '' for key in self.shopdic.keys(): good = self.shopdic[key] ele = good.id+"|"+good.name+"|"+str(good.price)+"\n" str1 = str1 + ele f = open(self.path, 'w', encoding='utf-8') f.write(str1) f.close() def addGoods(self): # 添加商品的方法 id ...
In this demonstration, we use a multi-table dataset of 3 million online grocery orders from Instacart to predict what a customer will buy next. We show how to generate features with automated feature engineering and build an accurate machine learning pipeline using Featuretools, which can be reus...