superset-python-client 1.1.1

A simple REST API Client for Apache-Superset in Python

superset-python-client

A Python Client for Apache Superset REST API.

This is a Alpha version. Stability is not guaranteed.

Usage

Setup a superset client:

from supersetapiclient.client import SupersetClient

client = SupersetClient(
    host="http://localhost:8080",
    username="admin",
    password="admin",
)

When developping in local (only), you may need to accept insecure transport (i.e. http). This is NOT recommanded outside of local development environement, that is requesting localhost.

import os

os.environ['OAUTHLIB_INSECURE_TRANSPORT'] = '1'

Quickstart

Get all dashboards or find one by name:

# Get all dashboards
dashboards = client.dashboards.find()

# Get a dashboard by name
dashboard = client.dashboards.find(dashboard_title="Example")[0]

To delete a dashboard:

dashboard.delete()

Update dashboard colors, some properties and save changes to server:

# Update label_colors mapping
print(dashboard.colors)
dashboard.update_colors({
    "label": "#fcba03"
})
print(dashboard.colors)

# Change dashboard title
dashboard.dashboard_title = "New title"

# Save all changes
dashboard.save()

Get the embed configuration for a dashboard:

embed = dashboard.get_embed()

Create the embed configuration for a dashboard:

embed = dashboard.create_embed(allowed_domains=[])

Copy a dashboard:

dashboard_copy = dashboard.copy_dashboard(dashboard_payload={
    "css": "",
    "dashboard_title": "your-new-dashboard-title",
    "duplicate_slices": False,
    "json_metadata": "{}",
})

Export one ore more dashboard

You may export one or more dashboard user client.dashboards or directly on a dashboard object

# Export many dashboards
client.dashboards.export(
    # Set dashboard ids you would like to export
    [
        1,
        2
    ],
    "./dashboards.json" # A string or a path-like object where export will be saved
)

# Export one dashboard
dashboard.export(
    "./dashboard.json"
)

This functionality is also available in the same manner for datasets

CSS Templates

# Get all CSS Templates
css_templates = client.css_templates.find()

# Get a CSS Template by name
css_template = client.css_templates.find(template_name="Flat")[0]

# Retrieve the CSS of a CSS Template
css = css_template.css

Retrieve a Guest Token

You can retrieve a guest token using the guest_token method. This method requires the UUID of the resource (e.g., dashboard) and uses the user's first name, last name, and username from the client instance.

# Retrieve a guest token
guest_token = client.guest_token(uuid="your-example-uuid")

Contributing

Before committing to this repository, you must have pre-commit installed, and install the following pre-commit hooks:

pre-commit install --install-hooks -t pre-commit -t pre-push

Setting up a development envi

You will need Docker and docker-compose in order to run development environment. To start development environment run:

    docker-compose up -d