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View All on GitHubAI Summary: This task aims to enhance system observability and maintainability by implementing comprehensive monitoring, logging, and error handling. It involves strategically placing debug nodes to track key flow points, such as MQTT input and MongoDB insertion, and configuring a global 'Catch' node to centralize error logging. Success will be verified by confirming both successful operations and correctly captured forced errors in the debug panel.
AI Summary: This epic issue focuses on consolidating all architectural information and documentation for the project. The primary deliverable is a comprehensive README file that unifies and presents this consolidated architecture.
AI Summary: This is an epic issue focused on developing the entire user interface (frontend) for a project. The implementation will primarily utilize HTML, CSS, and JavaScript.
AI Summary: This GitHub issue, titled "[EPICO] Backend (API)", serves as a high-level epic or placeholder for the development of the backend API. The core technology specified for this work is Java Spring Boot, indicating a focus on building robust API services using this framework.
AI Summary: This epic issue outlines the foundational work for data persistence within the project. It specifically focuses on designing the data model for the application and subsequently setting up and configuring the MongoDB Atlas cloud database service to host this data.
AI Summary: This epic issue outlines a significant effort focused on middleware and system integration. The core of this initiative involves leveraging Node-RED to manage communication, specifically utilizing MQTT and HTTP protocols for data exchange.