RDA - User Guide

You can find 'How to use RDA notebooks' as part of your AIOps Studio home.

Please note that both tags and bots are interchangeably used.

Built-in RDA functions

The following are the most commonly used built-in functions

Function (Python)	Terminal	Description
bots()	bots	View / Search list of bots from all sources
plugins()	plugins	View / Search list of installed plugins.
api_models()		View / Search API Models for the bots that start with '@' (API Endpoints)
toolkit()		a tabbed group of reports with Bots, API Models, Plugins, and Datasets
check_connectivity()		Check connectivity to data sources and verify credentials if applicable
pexec(str)		Execute pipeline and return the resulting dataframe.
viz(df)		Visualize the dataframe
add_dataset(data or file, name)		Add dataframe, file or URL as dataset in the RDA dataset repository
get_dataset(name)		Get previously saved dataset
list_datasets()		Show list of all saved datasets

Viewing Datasources and Tags

plugins()

View / Search all installed RDA extensions.

check_connectivity()

Verify network access to all configured datasources. If their credentials are used, verify the credentials also. This function also takes an optional argument which can be a datasource name (ex: "snow")

tags()

View / Search all datasource, datasink, and control bots

api_models()

This function displays a list of all bots that are configured as API Endpoints. These bots are typically prefixed with an @ symbol. For each selected bot, this will display list parameters that should be provided as a combination of and (&) statements.

toolkit()

This function will display Bots, Plugins, API Models and Datasets

list_datasets()

This method is identical to bot @dm:recall name = "dataset-name"