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Description:

keboolastreamlit 0.0.4

KeboolaStreamlit
Keboola Streamlit simplifies the use of Keboola Storage API within Streamlit apps, providing easy-to-use functions for authentication, data retrieval, event logging, and data loading.
Installation
To install KeboolaStreamlit, you can use pip:
pip install keboola-streamlit

Usage
Initialization
Create an instance of the KeboolaStreamlit class with the required parameters:
from keboola_streamlit import KeboolaStreamlit

keboola = KeboolaStreamlit(root_url='https://connection.keboola.com', token='YOUR_API_TOKEN')

Authentication Check
Ensure that the user is authenticated and authorized to access the Streamlit app:
keboola.auth_check(required_role_id='YOUR_REQUIRED_ROLE_ID')

Retrieve Data
Fetch data from a Keboola Storage table and return it as a Pandas DataFrame:
df = keboola.get_table(table_id='YOUR_TABLE_ID')

Load Data
Load data from a Pandas DataFrame into a Keboola Storage table:
keboola.load_table(table_id='YOUR_TABLE_ID', df=your_dataframe, is_incremental=False)

Create Event
Create an event in Keboola Storage to log activities:
keboola.create_event()

Add Keboola Table Selection
Add a Keboola table selection form to your Streamlit app sidebar:
selected_table_data = keboola.add_table_selection()

License
This project is licensed under the MIT License. See the LICENSE file for more details.