superset import

To import Superset, you can use the following command:

from superset import app

This will import the Superset application object, which allows you to interact with the Superset functionality. Remember to have Superset installed in your Python environment before importing it.

相关问题

superset export dashboard

To export a dashboard in Superset, you can use the `superset export` command-line interface (CLI) tool. Here's an example of how you can export a dashboard as a JSON file:

superset export dashboard --dashboard-id <dashboard_id> --path <output_path>

Make sure to replace `<dashboard_id>` with the ID of the dashboard you want to export and `<output_path>` with the desired file path where you want to save the exported JSON file.

This command will export the dashboard metadata, including charts, slices, and associated information, into a JSON file that can be imported into another instance of Superset using the `superset import` command.

Please note that you need to have the Superset CLI installed and configured properly to use this command.

superset制作数据大屏

为了制作Superset数据大屏，您需要遵循以下步骤：

1.创建一个新的Superset仪表板并选择要在大屏上显示的数据源。
2.选择要在大屏上显示的可视化图表类型，例如表格、柱状图、线图等。
3.根据您的需求设置图表的参数和样式，例如颜色、字体、标签等。
4.将所有的图表组合在一起，以创建完整的数据大屏。
5.将大屏保存为Superset仪表板，并将其设置为公共可见，以便其他人可以访问。

以下是一个示例代码，用于创建一个包含多个图表的Superset数据大屏：

# 导入必要的库
from superset import db
from superset.models.dashboard import Dashboard
from superset.models.slice import Slice
from superset.models.core import Database
from superset.connectors.sqla.models import SqlaTable
from superset.utils.core import get_example_database

# 创建一个新的数据库连接
database = Database(database_name='my_database', sqlalchemy_uri='mysql://user:password@localhost/my_database')
db.session.add(database)
db.session.commit()

# 创建一个新的数据表
table = SqlaTable(table_name='my_table', database=database)
db.session.add(table)
db.session.commit()

# 创建一个新的切片
slice = Slice(slice_name='my_slice', datasource_type='table', datasource_id=table.id)
db.session.add(slice)
db.session.commit()

# 创建一个新的仪表板
dashboard = Dashboard(dashboard_title='my_dashboard', slices=[slice])
db.session.add(dashboard)
db.session.commit()

# 将仪表板设置为公共可见
dashboard.set_owners([appbuilder.sm.find_user('admin')])
dashboard.position_json = '{"size_y": 2, "size_x": 2, "col": 0, "row": 0}'
db.session.merge(dashboard)
db.session.commit()