如何从列表中动态生成 类?

How do you dynamically generate classes from a list?

我想创建一个 class 来自动添加我将来可以访问的值的持有者,这样当我 运行 cd.orders 或 cd.users 它将 return 或者给我一个我刚刚查询的每个表的数据框。

这是我的示例代码:

class samplecode:
    def __init__(self,credentials):
        c = credentials ('DATABASE', 'USER', 'PASSWORD', 'HOST', 'PORT', 'SCHEMA')
        print('credentials loaded')
        self.connection_string = "postgresql://%s:%s@%s:%s/%s" % (c.USER,
                                                                  c.PASSWORD,
                                                                  c.HOST,
                                                                  str(c.PORT),
                                                                  c.DATABASE)
        self.engine = sa.create_engine(connection_string)
        print('redshift connected')
        self.data = []

    def get_db(self,tables):
        for t in tables:
            self.data = pd.read_sql_query('SELECT * FROM database.{} limit 10'.format(t),engine)
            print(self.data.head(2))

cd = samplecode(credential)
# llf.view_obj
cd.get_db(['orders','user'])

我希望在cd.get_db之后它会return或者给我两个instances/objects。当我输入 dir(cd)

我应该可以做 cd.orders 和 cd.user 如果我在列表中添加更多 cd.xyz.

我试过了,但只能访问最新的 df,因为它会覆盖其他 df

class Wrapper(object):
    def __init__(self, data):
        self.data = data
    def __getattr__(self, attr):
        return [d[attr] for d in self.data]

# Wrapper([{'x': 23}, {'x': 42}, {'x': 5}]) 
instancelist = ['orders','user']

for i in instancelist:
    data = Wrapper([{i:'a'}])
cd.data

Hopnig 寻求帮助和澄清,谢谢!

或者如果这令人困惑,请考虑以下内容:

class BaseClass:
    def __init__(self):
        self.a = []
        self.b = []

    def execute_query(self,table_name):
        for tables in table_name:
            self.table_name = run_query()

table_list = ['D','E','F']
test = BaseClass
test.execute_query(table_list)

dir(test)
[
 'a',
 'b',
 'D',
 'E',
 'F'
 '__class__',
 '__delattr__',
 '__dict__',
 '__dir__',
]

听起来您正在寻找 setattr 内置函数。您可以调用它来将属性(以字符串形式给出)分配给对象。因此,与其打印出您的 table,不如将每个分配给一个以 table 的名字命名的属性:

def get_db(self,tables):
    for t in tables:
        data = pd.read_sql_query('SELECT * FROM database.{} limit 10'.format(t), engine))
        setattr(self, t, data)

您也可以反其道而行之,让属性查找触发数据库查询。为此,您需要向 class 添加一个 __getattr__ 方法。当查找属性但正常找不到时将调用它。

def __getattr__(self, name):
    data = pd.read_sql_query('SELECT * FROM database.{} limit 10'.format(name), engine))
    setattr(self, name, data)  # save to an attribute so we don't need to query it again
    return data