Streamlit - Thoughtspot component

A Streamlit component that renders a ThoughtSpot liveboard, or search, leveraging the ThoughtSpot Visual Embed SDK.

Install with pip

You can use pip to install the pre-built wheel file.

pip install dist/streamlit_thoughtspot-0.0.1-py3-none-any.whl

You can then import the streamlit_thoughtspot package into your streamlit project.

import streamlit_thoughtspot

Note that this does not implement authentication. If you want to implement a more complex logic, we suggest building the package yourself.

Rendering a Livebaord

To render a Liveboard Embed, call the thoughtspot_liveboard_component function.

streamlit_thoughtspot.thoughtspot_liveboard_component(
    host=thoughtspot_host,
    width=1400,
    height=1100,
    liveboardid="My Liveboard UUID"
    )

Parameter	Data Type	Description
host	string	URL of your ThoughtSpot environment.
width	number	width
height	number	height
liveboardid	string	UUID of the ThoughtSpot liveboard to be rendered

Rendering a Search Component

To render a Search Embed, call the thoughtspot_search_component function.

streamlit_thoughtspot.thoughtspot_search_component(
    host=thoughtspot_host,
    width=1400,
    height=900,
    answerid='My answer UUID'
    )

Parameter	Data Type	Description
host	string	URL of your ThoughtSpot environment.
width	number	width
height	number	height
answerid	string	UUID of the ThoughtSpot answer to be rendered. If not provided, a standard search will appear
dataSources	array of strings	UUIDs of the ThoughtSpot datasources that will be visible
searchString	string	If no answer Id is provided, this search token string will be the default search executed.

Build the component from scratch

To build the component front end, navigate to the frontend folder and run: npm run build

To build the wheel files, navigate tot he primary component folder and run: python setup.py sdist bdist_wheel