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DeRisk Dashboard App

Interactive dashboard application for visualizing and analyzing DeRisk data.

Prerequisites

  • Python 3.11+
  • Poetry
  • Docker

Setup

Local Development

  1. Install dependencies:
./setup.sh
  1. Run the dashboard:
poetry run python dashboard.py

Docker Setup

  1. Build the image:

  2. Run the container:

  3. stop container:

Key Features

  • Interactive data visualization
  • Protocol statistics monitoring
  • Loan portfolio analysis
  • Real-time data updates

Adding New Charts

  1. Create chart module in charts/
  2. Implement chart logic using main.py templates
  3. Register in dashboard.py

Data Integration

Use data_connector.py to add new data sources:

from data_connector import DataConnector

connector = DataConnector()
data = connector.get_data()

Testing

poetry run pytest

Contributing

  1. Fork the repository
  2. Create feature branch
  3. Submit pull request

Read contribution guide

License

License details