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Refinement Plan and Code Review
This page showcases the code review and planned refinements for the Grazioso Salvare MongoDB Dashboard Project, built for the CS340 Client-Server Development course at SNHU. This full-stack project demonstrates CRUD operations, data visualization, and security implementation using Python, Dash, and MongoDB.
Project Overview
The project is a dashboard application that connects to a MongoDB database containing animal rescue data. It allows users to perform CRUD operations and visualizes data to support decision-making for animal rescue classifications. The system was migrated from a Linux-based lab environment to a standalone Windows machine with updated dependencies and documentation.
Code Review Summary
Through a detailed code walkthrough, I:
- Highlighted the structure and functionality of the CRUD module, MongoDB integration, and Dash layout.
- Identified enhancements for improved readability, exception handling, and more secure authentication handling.
- Reviewed chart rendering efficiency and suggested caching options for larger datasets.
- Verified external library compatibility, including PyMongo and Dash components.
Planned Enhancements
- Refactor CRUD module to improve exception handling and feedback messages.
- Add form validation in the Dash input callbacks.
- Optimize MongoDB queries to reduce latency.
- Improve dashboard layout using Dash Bootstrap Components.
- Include authentication or access control as an extension feature.
Video Code Review Walkthrough
Figure 1 - Code Review Walkthrough for MongoDB Dashboard
📁 View the original source code: Grazioso Salvare Project Repository
📄 View the enhanced project artifacts: Final Dashboard Repository