[Feature]: Pull request for Adding database capabilities to the chat-interface.py to make it more personalized #41

[sagnik-create]

🚀 Pull Request: Implement Persistent Chat Storage with SQLAlchemy

🔗 Related Issue

Closes #41 — Volatile Local Storage for Chat Data

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📋 Summary

This PR replaces the existing cache-based chat data storage mechanism with a persistent solution using SQLAlchemy and SQLite. The goal is to retain user chat history across sessions and enhance personalization.

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🧠 What’s Implemented

• 📦 Integrated SQLAlchemy ORM for structured database interaction
• 🛠️ Created a SQLite-based database schema for managing user sessions and chat messages
• 🧾 Implemented logic to:
  • Automatically create a new user entry upon first visit
  • Store and retrieve chat messages for each user
  • Persist chat context for a personalized experience
• 🔄 Hooked up the backend to interact with the chatbot engine seamlessly
• 🧪 Included basic test coverage for DB connection and data operations

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📸 Demo (Optional)

Table creation code in db.py

Testing of the Database through DB Browser

Messages are stored in separate Database and new database is created for each user that can be retrieved using proper module functions

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✅ Checklist

• Database connection established via SQLAlchemy
• User chat sessions persist across page reloads
• Schema scales well for multiple users
• No breaking changes introduced
• Tested thoroughly in local development environment

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💬 Additional Notes

• Currently using SQLite for local persistence. Can be upgraded to PostgreSQL or another RDBMS for production.
• Currently the chat just gets stored in the db database, Can upgrade the frontend modules to show chat history in the sidebar as well

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🙋‍♂️ Request

Please review the changes and provide feedback. I’d be happy to iterate further based on suggestions!

[eccentriccoder01]

Great work @sagnik-create, level 3 worthy, keep it up!