Superset实现动态SQL查询功能

这篇文章给大家介绍使用自定义参数方式实现 superset 实现SQL动态查询功能,本文通过实例代码给大家介绍的非常详细,对大家的学习或工作具有一定的参考借鉴价值,需要的朋友参考下吧

使用自定义参数方式实现 superset 实现SQL动态查询

1、启用参数:config.py 设置"ENABLE_TEMPLATE_PROCESSING": True

2、当前superset v1.2版本支持的参数包括:

{{ current_username() }}     当前登录用户名
{{ current_username(add_to_cache_keys=False) }}   不从缓存中获取登录用户名,默认从缓存获取
{{ current_user_id()}}    当前登录用户ID
{{ current_user_id(add_to_cache_keys=False) }}  不从缓存中获取登录用户ID,默认从缓存获取
{{ url_param('custom_variable') }} url 参数,比如127.0.0.1:8001\dashboard?abc=123,参数就是{{ url_param('abc') }}  结果就是123
{{ cache_key_wrapper() }}   还没有弄明白啥用
{{ filter_values("字段名") }}  获取dashboard filter_box组件对某个字段的筛选结果
{{ from_dttm }}  获取dashboard filter_box组件日期筛选的开始时间
{{ to_dttm }}   获取dashboard filter_box组件日期筛选的结束时间
{{ get_filters() }}  暂时没有弄明白

除此之外,还可以自定义参数,自定义参数方法:

①修改superset/jinja_context.py文件,修改三个地方:

 regex = re.compile( r"\{\{.*(" r"current_user_id\(.*\)|" r"current_username\(.*\)|" r"current_userroles\(.*\)|" r"isadmin\(.*\)|" r"cache_key_wrapper\(.*\)|" r"url_param\(.*\)" r").*\}\}" )

↑↑↑↑注意此处的 current_userroles 和 isadmin 是我自定义的,源文件没有

 def current_user_id(self, add_to_cache_keys: bool = True) -> Optional[int]: """ Return the user ID of the user who is currently logged in. :param add_to_cache_keys: Whether the value should be included in the cache key :returns: The user ID """ if hasattr(g, "user") and g.user: if add_to_cache_keys: self.cache_key_wrapper(g.user.get_id()) return g.user.get_id() return None def current_username(self, add_to_cache_keys: bool = True) -> Optional[str]: """ Return the username of the user who is currently logged in. :param add_to_cache_keys: Whether the value should be included in the cache key :returns: The username """ if g.user and hasattr(g.user, "username"): if add_to_cache_keys: self.cache_key_wrapper(g.user.username) return g.user.username return None def current_userroles(self, add_to_cache_keys: bool = True) -> Optional[str]: """ Return the roles of the user who is currently logged in. :param add_to_cache_keys: Whether the value should be included in the cache key :returns: The userroles """ if g.user and hasattr(g.user, "roles"): if add_to_cache_keys: user_roles = "/".join([role.name.lower() for role in list(g.user.roles)]) self.cache_key_wrapper(user_roles) print(user_roles) return user_roles """admin in user_roles""" return None def isadmin(self, add_to_cache_keys: bool = True) -> Optional[str]: """ Return the roles of the user who is currently logged in. :param add_to_cache_keys: Whether the value should be included in the cache key :returns: The userroles """ if g.user and hasattr(g.user, "roles"): if add_to_cache_keys: user_roles = [role.name.lower() for role in list(g.user.roles)] return "admin" in user_roles return None

↑↑↑↑仿照系统自带的 current_username 编造自己的函数,我写了current_userroles 和 isadmin

 class JinjaTemplateProcessor(BaseTemplateProcessor): def set_context(self, **kwargs: Any) -> None: super().set_context(**kwargs) extra_cache = ExtraCache(self._extra_cache_keys) self._context.update( { "url_param": partial(safe_proxy, extra_cache.url_param), "current_user_id": partial(safe_proxy, extra_cache.current_user_id), "current_username": partial(safe_proxy, extra_cache.current_username), "current_userroles": partial(safe_proxy, extra_cache.current_userroles), "isadmin": partial(safe_proxy, extra_cache.isadmin), "cache_key_wrapper": partial(safe_proxy, extra_cache.cache_key_wrapper), "filter_values": partial(safe_proxy, filter_values), } )

↑↑↑↑仿照系统自带的 current_username 编造自己的函数,我写了current_userroles 和 isadmin

就是这3个地方,但是注意,自己在第二步早的函数,返回值必须是:

 ALLOWED_TYPES = ( NONE_TYPE, "bool", "str", "unicode", "int", "long", "float", "list", "dict", "tuple", "set", )

否则会提示错误,或者自己修改这个types,我是转换,比如上面那个g.user.roles 返回的结果就不是上面类型,导致我一直不成功,最后修改了下,才可以

3、判断是否自定义成功:

在superset sql lab中执行如下代码,如果能被解析,就说明成功

4、应用案例:

 在dataset里面,动态访问数据源,数据源添加where语句:select * from sales where salesname =' {{current_username()}}'

dashboard里面,通过获取筛选器的结果,然后获取其他表应当显示的数据范围:

 select  DATE,risktype,sum(num) as num from (SELECT date , customerid,product,risktype ,count(*) as num from v_superset_forecast_risk group by date , customerid,product,risktype ) a join (select distinct customer_code,product from v_superset_access where name='{{ current_username() }}' )access on a.customerid=access.customer_code and a.product=access.p

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