Lineage-graph-accelerator

Running

File size: 8,725 Bytes

# BUILD PLAN - Lineage Graph Accelerator

## Competition: Gradio Agents & MCP Hackathon - Winter 2025
**Deadline:** November 30, 2025
**Track:** Track 2 - MCP in Action (Productivity)
**Author:** [Aaman Lamba](https://aamanlamba.com)

---

## 🎉 Project Status: FEATURE COMPLETE

All major features have been implemented and tested. The application is live on HuggingFace Spaces.

**Live Demo:** [huggingface.co/spaces/aamanlamba/Lineage-graph-accelerator](https://huggingface.co/spaces/aamanlamba/Lineage-graph-accelerator)

---

## Judging Criteria Alignment

| 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

- [x] HuggingFace Space deployed
- [x] Social media post (LinkedIn/X) published - [LinkedIn](https://www.linkedin.com/posts/aamanlamba_lineage-graph-accelerator-a-hugging-face-activity-7400658296166297600-n9a6)
- [x] README with complete documentation
- [x] Demo video (1-5 minutes) - [YouTube](https://youtu.be/U4Dfc7txa_0) | [Loom](https://www.loom.com/share/3de27e88e01f4e97bfd13e4f0031f416)
- [x] All team member HF usernames in Space README

---

## Phase 2 Implementation Plan

### 2.1 HuggingFace MCP Server Integration
**Priority:** Critical
**Status:** ✅ COMPLETE

#### Completed Tasks:
- [x] Implemented Local Demo MCP for standalone operation
- [x] Added MCP server configuration UI
- [x] Created fallback chain: MCP Server -> Local Demo -> Stub
- [x] Added health check and status indicators
- [x] 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:
- [x] Create realistic dbt manifest sample
- [x] Create Airflow DAG metadata sample
- [x] Create SQL DDL with complex lineage sample
- [x] Create data warehouse lineage sample (Snowflake/BigQuery style)
- [x] Create ETL workflow sample
- [x] Create complex lineage demo (50+ nodes)
- [x] 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:
- [x] Design universal lineage export format (OpenLineage)
- [x] Implement Collibra export format
- [x] Implement Microsoft Purview export format
- [x] Implement Alation export format
- [x] Implement Apache Atlas export format
- [x] Add export UI with format selection
- [x] 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:
- [x] Create comprehensive USER_GUIDE.md
- [x] Add getting started section
- [x] Document all input formats supported
- [x] Create step-by-step tutorials
- [x] Add troubleshooting section
- [x] Include sample lineage scenarios with expected outputs
- [x] Add integration guides for each data catalog

---

### 2.5 Gradio 6 Upgrade & UI/UX Enhancement
**Priority:** Critical (Competition Requirement)
**Status:** ✅ COMPLETE

#### Completed Tasks:
- [x] Upgrade to Gradio 6 (competition requirement)
- [x] Implement agentic chatbot interface (Google Gemini)
- [x] Improve layout and responsiveness
- [x] Add progress indicators and loading states
- [x] Implement error handling with user-friendly messages
- [x] Add interactive graph zoom/pan (click-to-zoom)
- [x] Add PNG/SVG download buttons
- [x] 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:
- [x] Implement conversational interface for lineage queries
- [x] Add natural language input for lineage extraction
- [x] Enable follow-up questions about lineage
- [x] Integrate with Google Gemini API (sponsor integration)
- [x] Implement context memory for conversations
- [x] 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](https://youtu.be/U4Dfc7txa_0)
- **Loom**: [Alternative Link](https://www.loom.com/share/3de27e88e01f4e97bfd13e4f0031f416)

#### Video Highlights (2:30 minutes)

1. Introduction (15s) - Lineage Graph Accelerator overview
2. AI Assistant (30s) - Google Gemini generating lineage from natural language
3. MCP Integration (25s) - Local Demo MCP server fetching metadata
4. Demo Gallery (25s) - Complex 50+ node pipeline + export to Collibra
5. Interactive Features (20s) - Zoom, PNG/SVG download
6. 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

```txt
# 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
- [x] Test all export formats (5 tests)
- [x] Test sample data loading (3 tests)
- [x] Test visualization rendering (2 tests)
- [x] Test lineage extraction functions (3 tests)

Run tests:
```bash
python -m unittest tests.test_app -v
```

---

## Deployment Status

### HuggingFace Space: ✅ LIVE
- [x] Space SDK set to Gradio 6
- [x] Environment configured
- [x] All features tested on HF infrastructure
- [x] MCP integration working

### Documentation: ✅ COMPLETE

- [x] README.md complete
- [x] USER_GUIDE.md complete
- [x] Demo video - [YouTube](https://youtu.be/U4Dfc7txa_0) | [Loom](https://www.loom.com/share/3de27e88e01f4e97bfd13e4f0031f416)
- [x] Social media post - [LinkedIn](https://www.linkedin.com/posts/aamanlamba_lineage-graph-accelerator-a-hugging-face-activity-7400658296166297600-n9a6)

---

## 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

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

---

## Links

- **Live Demo:** [HuggingFace Space](https://huggingface.co/spaces/aamanlamba/Lineage-graph-accelerator)
- **Author:** [Aaman Lamba](https://aamanlamba.com)
- **Documentation:** [USER_GUIDE.md](USER_GUIDE.md)

---

## 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