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nitinaggarwal-databricks

Added the agent genie app source code

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@alexott alexott requested a review from Copilot September 16, 2025 14:07
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Pull Request Overview

This pull request adds the complete source code for an agent genie application, implementing a FastAPI-based Databricks Genie++ Omni-Analytics Platform. The application provides a conversational interface for data analytics, supporting features like PDF document analysis, user interaction tracking, and multi-agent AI capabilities.

  • Implements a full-stack web application with FastAPI backend and HTML/JavaScript frontend
  • Includes user interaction tracking and feedback collection system
  • Adds PDF document analysis functionality
  • Provides integration with Databricks Genie spaces and serving endpoints

Reviewed Changes

Copilot reviewed 25 out of 25 changed files in this pull request and generated 3 comments.

Show a summary per file
File Description
agent_genie/tracking.py User interaction tracking and feedback management system
agent_genie/templates/index.html Complete frontend UI with chat interface and analytics features
agent_genie/table_extraction.py Unity Catalog table and column metadata extraction utilities
agent_genie/helper.py Core helper functions for Databricks Genie API integration
agent_genie/requirements.txt Python dependencies for the application
agent_genie/manual_ai_content.py Manual content storage for AI function documentation
agent_genie/databricks.yml Databricks bundle configuration for deployment
agent_genie/app.yaml Application configuration with environment variables
agent_genie/app.py Flask application with chat endpoint and model integration
Various manifest and config files Bundle metadata and development configuration
Comments suppressed due to low confidence (3)

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- name: "SERVING_ENDPOINT_NAME"
value: "databricks-gpt-oss-120b"
- name: "TAVILY_API_KEY"
value: "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" No newline at end of file
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Hard-coded API key in configuration file. This should be moved to an environment variable or secure secret management system to prevent exposure in version control.

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value: "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"
# value should be set securely via environment variable or secret manager at deployment time

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# Payload for the SQL statement
payload = {
"warehouse_id": "63bf73769cfb22e3", # Using the same warehouse ID from the example
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Hard-coded warehouse ID should be configurable through environment variables or configuration parameters rather than being embedded in the code.

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beautifulsoup4
pandas
python-dotenv
openai
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The 'openai' package is listed twice (lines 8 and 17). Remove the duplicate entry to clean up the requirements file.

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openai

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alexott commented Sep 20, 2025

first commit is still unsigned so we can't merge it

@alexott alexott requested a review from Copilot September 20, 2025 08:51
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Pull Request Overview

Copilot reviewed 27 out of 27 changed files in this pull request and generated 5 comments.

Comments suppressed due to low confidence (1)

agent_genie/app.yaml:1

  • API keys should not be hardcoded in configuration files. Use secure secret management or environment variables that reference secrets.
command: [

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# Payload for the SQL statement
payload = {
"warehouse_id": "", # Using the same warehouse ID from the example
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Empty warehouse_id will likely cause SQL execution failures. Consider using a configurable warehouse ID from environment variables or requiring it as a parameter.

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# Payload for the SQL statement
payload = {
"warehouse_id": "63bf73769cfb22e3", # Using the same warehouse ID from the example
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Hardcoded warehouse ID should be made configurable through environment variables or function parameters to support different environments and deployments.

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Comment on lines +419 to +420
payload = {
"warehouse_id": "63bf73769cfb22e3", # Using the same warehouse ID from the example
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Hardcoded warehouse ID should be made configurable through environment variables or function parameters to support different environments and deployments.

Suggested change
payload = {
"warehouse_id": "63bf73769cfb22e3", # Using the same warehouse ID from the example
warehouse_id = os.getenv("WAREHOUSE_ID")
if not warehouse_id:
return {
"success": False,
"error": "WAREHOUSE_ID environment variable is not set"
}
payload = {
"warehouse_id": warehouse_id,

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Comment on lines +505 to +506
payload = {
"warehouse_id": "63bf73769cfb22e3", # Using the same warehouse ID from the example
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Hardcoded warehouse ID should be made configurable through environment variables or function parameters to support different environments and deployments.

Suggested change
payload = {
"warehouse_id": "63bf73769cfb22e3", # Using the same warehouse ID from the example
warehouse_id = os.getenv("WAREHOUSE_ID")
if not warehouse_id:
return {
"success": False,
"error": "WAREHOUSE_ID environment variable is not set"
}
payload = {
"warehouse_id": warehouse_id,

Copilot uses AI. Check for mistakes.

beautifulsoup4
pandas
python-dotenv
openai
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The 'openai' dependency is listed twice (lines 8 and 17). Remove the duplicate entry.

Suggested change
openai

Copilot uses AI. Check for mistakes.

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2 participants