如何使用python对ES进行批量更新操作

在kibana中得console中我可以用如下代码进行bulk中的更新操作

post _bulk

{"update":{"_id":"1","_index":"ecommerce","retry_on_conflict" : 3}}

{"doc":{"price7":"1991999","price":9999,"price8":8899988}}

{"update":{"_id":"11","_index":"ecommerce","retry_on_conflict" : 3}}

{"doc":{"price7":"112222","price":9999,"price8":9999}}​

但是在python中，如何使用bulk方法？
我遇到的问题主要有：
1. 不会用python拼接成

{"update":{"_id":"1","_index":"ecommerce","retry_on_conflict" : 3}}

{"doc":{"price7":"1991999","price":9999,"price8":8899988}}

{"update":{"_id":"11","_index":"ecommerce","retry_on_conflict" : 3}}

{"doc":{"price7":"112222","price":9999,"price8":9999}}

这种格式的数据
2. python中的bulk的各项参数怎么设置，我这样设置是不是错的？

from elasticsearch import Elasticsearch

import pandas as pd



es = Elasticsearch()





i = 1

actions = []

df = pd.DataFrame(data={"id":[1,11],"price":[1314,7758],"price7":[7777,8888]})

print(df)



for id_a in range(0,len(df)):

    action = {

        "_op_type":"update",

        "_index":"ecommerce",

        "_type":"_doc",

        "_id":str(df.loc[id_a,"id"]),

        "doc":{

            "price7":str(df.loc[id_a,"price7"]),

            "price":int(df.loc[id_a,"price"])

        }

    }

    actions.append(action)

print(actions)

result = es.bulk(body=actions, index="ecommerce")

如果有例子的话，就更好了。