处理 ElasticSearch 的最 pythonic 方式是什么？

Question

我有一个现有的存储库连接到 MySQL。为清楚起见，省略了详细信息。

class Person(object):   
def __init__(self):
    # This is entity is mapped to the DB using SQLAlchemy's classical mapping.
    It also includes an Address
    pass

class Address(object):
    def __init__(self):
        pass

class PersonRepository(object):
     def __init__(self, DBSession):
         self.session = DBSession

     def persist(self, entity):
         self.session.add(entity)
         self.session.flush()
         return entity  

 class AddressEditor(object):
        def __init__(self):
            pass

    def add_address(self, person, address):
        person.address = address
        #We can either inject the session into this method, or 
        #obtain it from a configuration file.
        repository = PersonRepository(DBSession)
        person = repository.persist(person)
        return person.address

我想将存储库转换为 ElasticSearch。前进的最佳方式是什么？

Answer 1

使用 Elasticsearch() 实例而不是 DBSession。并在 PersonRepository API 中实现对 ElasticSearch 的调用。

在图书馆可用 https://elasticsearch-py.readthedocs.io/en/master/

处理 ElasticSearch 的最 pythonic 方式是什么？

What is the most pythonic way to handle ElasticSearch?

python

mysql

repository-pattern

python-3.x

elasticsearch