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Chat with a Genie Space

This app uses the AI/BI Genie Conversations API to let users ask questions about your data for instant insights.

Code snippet​

Refer to the Dash Cookbook Genie source code for the full implementation.

app.py
import pandas as pd
from databricks.sdk import WorkspaceClient


def get_query_result(statement_id):
    # For simplicity, let's say data fits in one chunk, query.manifest.total_chunk_count = 1

    result = w.statement_execution.get_statement(statement_id)
    return pd.DataFrame(
        result.result.data_array, columns=[i.name for i in result.manifest.schema.columns]
    )


def process_genie_response(response):
    for i in response.attachments:
        if i.text:
            print(f"A: {i.text.content}")
        elif i.query:
            data = get_query_result(i.query.statement_id)
            print(f"A: {i.query.description}")
            print(f"Data: {data}")
            print(f"Generated code: {i.query.query}")


# Configuration
w = WorkspaceClient()
genie_space_id = "01f0023d28a71e599b5a62f4117516d4"

prompt = "Ask a question..."
follow_up_prompt = "Ask a follow-up..."

# Start the conversation
conversation = w.genie.start_conversation_and_wait(genie_space_id, prompt)
process_genie_response(conversation)

# Continue the conversation
follow_up_conversation = w.genie.create_message_and_wait(
    genie_space_id, conversation.conversation_id, follow_up_prompt
)
process_genie_response(follow_up_conversation)
info

Copy and paste the Genie space ID from the Genie UI URL as rooms/SPACE-ID?o=.

Resources​

Permissions​

Your app service principal needs the following permissions:

  • SELECT on the Unity Catalog table
  • CAN USE the SQL warehouse
  • CAN VIEW the Genie Space

Dependencies​

requirements.txt
dash
databricks-sdk
pandas