This commit completes the "Improving Structure & Maintainability" phase by fundamentally refactoring the frontend architecture.
- Introduced a central state store (store.js) to act as a single source of truth, eliminating global variables and making data flow predictable through an event-based system.
- Replaced innerHTML with component-based rendering for all major UI elements, including warranty cards, tags, and all modals (Edit, Delete, Claims, Notes, Paperless). This improves security, performance, and maintainability.
- Created reusable UI component modules (warrantyCard.js, editModal.js, claims.js, etc.) and used an HTML <template> for the main warranty card to separate markup from logic.
Fixes & Enhancements
* Resolved five critical Apprise notification issues:
• Ensured configuration reload during scheduled jobs
• Fixed warranty data fetching for Apprise-only users
• Refactored notification dispatch logic with dedicated helpers
• Corrected handler scoping via Flask app context
• Wrapped scheduler jobs with Flask app context to prevent context errors
→ Verified: Scheduled Apprise notifications now work reliably for "Apprise only" and "Both" channels.
* Added support for SMTP\_FROM\_ADDRESS environment variable, allowing sender address customization independent of SMTP username. (PR #115)
* Fixed duplicate scheduled notifications in multi-worker environments:
• Strengthened should\_run\_scheduler() logic
• Now guarantees exactly one scheduler instance across all Gunicorn modes.
* Fixed stale database connection handling in scheduled jobs:
• Fresh connection acquired each run, properly released via try/finally
• Eliminates "server closed the connection" errors.
* Definitive scheduler logic fix for all memory modes (ultra-light, optimized, performance):
• Single-worker runs scheduler if GUNICORN\_WORKER\_ID is unset
• Multi-worker: only worker 0 runs scheduler.
Impact
* Apprise and Email notifications are now stable, reliable, and production-ready
* No more duplicate or missed notifications across all memory modes
* Improved system efficiency and robustness
