https://aligenie.com/
登录,进入控制台，创建新技能。

点击后端服务，点击创建应用，关联阿里云账户，开通相关资源，创建技能应用；
语言选择python,模板选择地理小百科，点击创建,保存。

然后选择语言互交模型，点击左侧的实体，创建一个自定义实体

点击实体列表的编辑，添加实体值。

返回意图，点击图中的编辑，添加对话和参数。

前往后端服务，如图进入部署。

点击右下角的终端，输入pip install requests 安装模块

代码如下
import logging
import json
import base64
import random
import collections
import requests

USER_MAP = {}
KNOWLEDGE = [

"大米",
"餐巾纸",
"卫生纸",
"酱油"    

]
KNOWLEDGEJJDid = [

"4592915",
"100015114144",
"1082266",
"100006624003"    

]
def jdprice(l_index):
#京东

URL ='https://p.3.cn/prices/mgets?skuIds='+KNOWLEDGEJJDid[l_index]
headers = {
    'User-agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.106 Safari/537.36',
    'Cookie': '',
    'Connection': 'keep-alive',
    'Accept': '*/*',
    'Accept-Encoding': 'gzip, deflate, sdch',
    'Accept-Language': 'zh-CN,zh;q=0.8',
    'Host': 'p.3.cn',
    'Referer': 'https://book.jd.com/booktop/0-0-0.html?category=1713-0-0-0-10001-1'
}   
res = requests.get(URL,headers=headers)
jdp=json.loads(res.text)

return jdp[0]['p']

KNOWLEDGEJTB = [

"55.3",
"60",
"56.9",
"100006624003"    

]
def tbprice(l_index):

return KNOWLEDGEJTB[l_index]

KNOWLEDGEJPDD = [

"4592915",
"100015114144",
"1082266",
"100006624003"    

]
def pddprice(l_index):

return KNOWLEDGEJPDD[l_index]

def pricecx(l_index,maket):

if maket=='京东':
    return jdprice(l_index)
if maket=='淘宝':
    return tbprice(l_index)
if maket=='拼多多':
    return pddprice(l_index) 

print(pricecx(0,'淘宝'))

def common_reply(reply, result_type):

response = {
    "isBase64Encoded": "false",
    "statusCode": "200",
    "headers": {"content-type": "application/json"},
    "body": {
        "returnCode": "0",
        "returnErrorSolution": "",
        "returnMessage": "",
        "returnValue": {
            "reply": reply,
            "resultType": result_type,
            "executeCode": "SUCCESS",
            "msgInfo": "",
        }
    }
}
return response

未指定追问参数，音箱自动开麦，用户的回答可跳转到其它意图

def ask_reply(reply):

return common_reply(reply, 'ASK_INF')

结束对话的回复，回复后音箱闭麦

def result_reply(reply):

return common_reply(reply, 'RESULT')

def handler(event, context):

request = json.loads(event)
logger = logging.getLogger()
body = base64.b64decode(request['body']).decode()
data = json.loads(body)
maket=data['slotEntities'][0]['originalValue']

logger.info('request body:' + body)

# 从请求中获取意图参数以及参数值
intent_name = data['intentName']
user_id = getattr(data['requestData'], 'userOpenId', 'testUser')
global USER_MAP
linked_list = USER_MAP.get(user_id)

# 欢迎意图 或 用户缓存数据为空
if intent_name == "welcome" or linked_list is None:
    linked_list = collections.deque()
    random_index = random.randint(0, len(KNOWLEDGE) - 1)
    linked_list.append(random_index)
    USER_MAP[user_id] = linked_list
    
    
    return ask_reply(KNOWLEDGE[random_index]+'在'+maket+'平台的价格是'+pricecx(random_index,maket))
# 下一个意图，随机选择一个内容回复，并将index追加到用户数据的List集合最后
elif intent_name == "next":
    random_index = random.randint(0, len(KNOWLEDGE) - 1)
    linked_list.append(random_index)
    USER_MAP[user_id] = linked_list
    return ask_reply(KNOWLEDGE[random_index]+'在'+maket+'平台的价格是'+pricecx(random_index,maket))

# 上一个意图，将用户数据的List集合中最后一个index移除，并返回该index的内容。首先要判断集合内是否有元素，没有则不需要移除
elif intent_name == "prev":
    if len(linked_list) > 0:
        linked_list.pop()
    if len(linked_list) == 0:
        return ask_reply("这已经是第一个了。")
    return ask_reply(KNOWLEDGE[linked_list[len(linked_list) - 1]] +'在'+maket+'平台的价格是'+pricecx(linked_list[len(linked_list) - 1],maket))

# 退出意图，清除用户缓存
elif intent_name == "exit":
    USER_MAP.pop(user_id)
    return result_reply("已为您退出，再见。")



return result_reply("请检查意图名称是否正确，或者新增的意图没有在代码里添加对应的处理分支。")