Python使用MapReduce编程模型统计销量

#!/usr/bin/python
# -*- coding: utf-8 -*-
import random
# 模拟商品
stocks = ["HUAWEI Mate40","Apple iphone13","Apple MacBook Pro 14","ThinkBook 14p","RedmiBook Pro14","飞鹤星飞帆幼儿奶粉","爱他美 幼儿奶粉","李宁运动男卫裤","小米踏步机椭圆机","欧莱雅面膜","御泥坊面膜","欧莱雅男士套装","金六福白酒","牛栏山42度","茅台飞天"]
# 销售订单
sales_list = list()
# 生成100个买家订单，每个订单三个商品
for i in range(100):
    sstocks = list()
    for j in range(3):
        sstocks.append(stocks[random.randint(0,14)])
    a = "买家" + str(i+1) + ":" + ",".join(sstocks)
    print(a)

#!/usr/bin/python
# -*- coding: utf-8 -*-
import sys
#从控制台中读取数据，循环发送每行数据
for line in sys.stdin:
    #对订单进行拆分
    orders = line.strip().split(":")
    if len(orders) == 2:
        #对订单中的商品进行拆分
        stocks = orders[1].split(",")
        for stock in stocks:
            #将每一个商品作为key,value进行输出
            print('%s,%s' % (stock,1))

#!/usr/bin/python
# -*- coding: utf-8 -*-
import sys
# 创建一个空的字典用来每一个商品的销售数据
stock_dict = dict()
for line in sys.stdin:
    if len(line.strip()) >= 1:
        # 拆分每一行的商品，销量
        stock, sales = line.split(',')
        # 判断当前商品是否在字典中有存放
        if stock in stock_dict:
            # 如果有，把字典中的商品和销量取出来，追加当前销量再放入
            stock_dict[stock] = stock_dict[stock] + int(sales)
        else:
            # 如果没有，直接把商品和销量数据放入字典中
            stock_dict[stock] = int(sales)
# 遍历字典列表，获取每一个商品的销量
for stock, sales in stock_dict.items():
    print('%s\t%s' % (stock, sales))