v0.1.0 - ✨ Dashboard Live Data & Dedicated Backend!

This release marks the first fully functional version of the LoRa GPS Tracker Dashboard, successfully bridging the gap between hardware and the web interface. We have moved beyond simulation to a robust, real-time data pipeline, enabling live visualization of data streamed from an Arduino device.

💡 Motivation

The primary goal of this release was to activate the "live" functionality of the dashboard. The previous version was a high-fidelity simulation, but lacked the backend infrastructure to receive and process data from the physical LoRa tracker hardware. This update establishes the complete data flow, from the serial port on a host machine to the dynamic map display in the user's browser.

🔧 Detailed Changes

✨ What's New

• Live Data Pipeline: A complete, end-to-end data pipeline is now functional. Data from the Arduino is read via a serial bridge, processed by a dedicated backend, and fetched by the Svelte frontend for real-time display.
• Connection Status UI: The MapView.svelte component now features a real-time connection status indicator, giving users visual feedback on the live data connection (Connecting, Connected, Disconnected).
• Live Update Controls: The UI now includes "Start Live" and "Stop Live" controls that are fully functional, allowing users to toggle the fetching of real-time data.

🔧 Improvements

• Architecture Rework: The data ingestion logic has been moved from the SvelteKit API route (+server.ts is now deprecated) to the new dedicated backend.ts server. This separation of concerns resolves development server bottlenecks and creates a more scalable architecture.
• 🐍 Robust Python Serial Bridge: The experimental TypeScript bridge has been replaced with a stable and reliable Python script: serialBridge.py. This script handles serial port communication and forwards data to the backend.
• State Management Upgrade: The locationStore.svelte.ts has been enhanced with new state properties (isLive, connectionState) to manage the live data fetching lifecycle.
• Arduino Firmware Pacing: The mock Arduino sketch main-tester.cpp was improved by adding a delay() to ensure a paced, stable stream of data, preventing serial buffer flooding.

✅ Benefits & Impact

• Real-time Visualization: The dashboard is no longer just a simulation; it can now display real data from a physical device.
• Improved Stability: The new architecture with a dedicated backend and Python bridge is significantly more stable and reliable than the previous integrated approach.
• Enhanced Developer Experience: Clear separation between the frontend, backend, and hardware bridge makes debugging and future development much easier.
• Foundation for Production: This architecture lays a solid foundation for a production-ready system.

📖 Developer Notes

This release introduces a new three-terminal development workflow:

1. Backend Server: bun run src/lib/server/backend.ts
2. Frontend Server: bun run dev
3. Hardware Bridge: python serialBridge.py