Lineage-graph-accelerator

Running

Criteria	Weight	Status	Implementation
Design/Polished UI-UX	High	✅ Complete	Professional Gradio 6 UI with tabs, accordions, interactive graphs
Functionality	High	✅ Complete	Full MCP integration, 5 export formats, Gemini AI chatbot
Creativity	High	✅ Complete	Multi-format lineage extraction with AI-powered parsing
Documentation	High	✅ Complete	Comprehensive README, USER_GUIDE.md, inline comments
Real-world Impact	High	✅ Complete	Production-ready for enterprise data governance

Submission Requirements Checklist

HuggingFace Space deployed
Social media post (LinkedIn/X) published - LinkedIn
README with complete documentation
Demo video (1-5 minutes) - YouTube | Loom
All team member HF usernames in Space README

Phase 2 Implementation Plan

2.1 HuggingFace MCP Server Integration

Priority: Critical Status: ✅ COMPLETE

Completed Tasks:

Implemented Local Demo MCP for standalone operation
Added MCP server configuration UI
Created fallback chain: MCP Server -> Local Demo -> Stub
Added health check and status indicators
Support for custom MCP server endpoints

Files Modified:

app.py - MCP integration with demo mode

2.2 Comprehensive Sample Test Data

Priority: Critical Status: ✅ COMPLETE

Completed Tasks:

Create realistic dbt manifest sample
Create Airflow DAG metadata sample
Create SQL DDL with complex lineage sample
Create data warehouse lineage sample (Snowflake/BigQuery style)
Create ETL workflow sample
Create complex lineage demo (50+ nodes)
Add "Demo Gallery" one-click examples in UI

Files Created:

samples/sample_metadata.json - Simple JSON lineage
samples/dbt_manifest_sample.json - Full dbt project with 15+ models
samples/airflow_dag_sample.json - ETL pipeline with 15 tasks
samples/sql_ddl_sample.sql - SQL DDL statements
samples/warehouse_lineage_sample.json - Snowflake-style multi-layer
samples/etl_pipeline_sample.json - Multi-source ETL pipeline
samples/complex_lineage_demo.json - 50+ node e-commerce platform

2.3 Export to Data Catalogs (Collibra, Purview, Alation)

Priority: High Status: ✅ COMPLETE

Completed Tasks:

Design universal lineage export format (OpenLineage)
Implement Collibra export format
Implement Microsoft Purview export format
Implement Alation export format
Implement Apache Atlas export format
Add export UI with format selection
Add download/copy buttons for each format

Export Formats Implemented:

exporters/
├── __init__.py          # Package exports
├── base.py              # Base classes (LineageGraph, LineageNode, LineageEdge)
├── openlineage.py       # OpenLineage standard format
├── collibra.py          # Collibra Data Intelligence
├── purview.py           # Microsoft Purview
├── alation.py           # Alation Data Catalog
└── atlas.py             # Apache Atlas

2.4 User Guide with Sample Lineage Examples

Priority: High Status: ✅ COMPLETE

Completed Tasks:

Create comprehensive USER_GUIDE.md
Add getting started section
Document all input formats supported
Create step-by-step tutorials
Add troubleshooting section
Include sample lineage scenarios with expected outputs
Add integration guides for each data catalog

2.5 Gradio 6 Upgrade & UI/UX Enhancement

Priority: Critical (Competition Requirement) Status: ✅ COMPLETE

Completed Tasks:

Upgrade to Gradio 6 (competition requirement)
Implement agentic chatbot interface (Google Gemini)
Improve layout and responsiveness
Add progress indicators and loading states
Implement error handling with user-friendly messages
Add interactive graph zoom/pan (click-to-zoom)
Add PNG/SVG download buttons
Add Mermaid Live Editor link

UI Features Implemented:

Professional tabbed interface
Demo Gallery with one-click samples
Collapsible accordions for advanced options
Color-coded node types in visualizations
Export format dropdown with copy functionality

2.6 Agentic Chatbot Integration

Priority: Critical (Competition Judging) Status: ✅ COMPLETE

Completed Tasks:

Implement conversational interface for lineage queries
Add natural language input for lineage extraction
Enable follow-up questions about lineage
Integrate with Google Gemini API (sponsor integration)
Implement context memory for conversations
Add "Use Generated JSON" button to transfer AI output

2.7 Demo Video Production

Priority: Critical (Submission Requirement) Status: ✅ COMPLETE

Video Links

YouTube: Watch the Demo
Loom: Alternative Link

Video Highlights (2:30 minutes)

Introduction (15s) - Lineage Graph Accelerator overview
AI Assistant (30s) - Google Gemini generating lineage from natural language
MCP Integration (25s) - Local Demo MCP server fetching metadata
Demo Gallery (25s) - Complex 50+ node pipeline + export to Collibra
Interactive Features (20s) - Zoom, PNG/SVG download
Call to Action (15s) - Try on HuggingFace, visit aamanlamba.com

Technical Architecture

Implemented Architecture:

User -> Gradio 6 UI -> Agentic Chatbot (Gemini)
                    -> MCP Server (Local Demo/Custom)
                    -> Lineage Parser (dbt/Airflow/SQL/JSON)
                    -> Graph Visualizer (Mermaid.ink)
                    -> Export Engine -> [OpenLineage|Collibra|Purview|Alation|Atlas]

Dependencies

# requirements.txt
gradio>=6.0.0
anthropic>=0.25.0
google-cloud-bigquery>=3.10.0
google-generativeai>=0.8.0
requests>=2.31.0
pyyaml>=6.0

Testing Status

Unit Tests: ✅ 13/13 Passing

Test all export formats (5 tests)
Test sample data loading (3 tests)
Test visualization rendering (2 tests)
Test lineage extraction functions (3 tests)

Run tests:

python -m unittest tests.test_app -v

Deployment Status

HuggingFace Space: ✅ LIVE

Space SDK set to Gradio 6
Environment configured
All features tested on HF infrastructure
MCP integration working

Documentation: ✅ COMPLETE

README.md complete
USER_GUIDE.md complete
Demo video - YouTube | Loom
Social media post - LinkedIn

Remaining Tasks

Task	Priority	Status
~~Record demo video (1-5 min)~~	CRITICAL	✅ Complete
~~Publish social media post~~	CRITICAL	✅ Complete

🎉 ALL SUBMISSION REQUIREMENTS COMPLETE!

Success Metrics

All judging criteria addressed
Submission requirements complete
Demo runs without errors
Export files validate correctly
MCP integration functional
UI is polished and intuitive
Documentation is comprehensive

Notes

Competition ends November 30, 2025 at 11:59 PM UTC
Focus on "Productivity" track for Track 2
Google Gemini integrated for sponsor bonus consideration
All features tested and working on HuggingFace Spaces