November 2024 monthly summary for aau-giraf/foodplanner and aau-giraf/foodplanner-api. Delivered a cohesive set of frontend and backend enhancements focused on stability, data integrity, and user experience, with robust testing and migrations to support scalable growth. Key features delivered: - Centralized API configuration and authentication stability: Introduced ApiConfig to manage API base URLs, added a missing base URL, integrated AuthProvider into service calls, and cleaned deprecated JWT utilities. (Commits include 41f95f..., 0222fcb..., cf6b971...) - Meal editing UI and data model enhancements: Added EditMealElement UI, refactored meal editing flows, aligned data models and services with backend changes, and expanded test coverage for meals and ingredients. (Commits 4634a3c5..., 1f7f9109..., 559ba801...) - Meal image support and data model alignment: Implemented meal image integration, improved camera/UX, and aligned models with backend image references and ingredient data. (Commits 6f9ec50..., 5b2b4537..., 6793a085...) - App routing and authentication enhancements: Polished routing, standardized path conventions, color configurations, and strengthened authentication checks with updated dependencies. (Commits 70774ac4..., 837735c1...) - Frontend security and UI consistency improvements: Strengthened routing and dependency hygiene to reduce surface area for regressions and improve maintainability. - API: Authentication and User Role Consistency bugs fixed; token processing typo corrected and user role reassignment logic corrected to ensure proper authentication. (Commit cc47cae9...) - Database schema expansion: Added tables for meals, ingredients, and packed ingredients with foreign keys, automigration scripts, and rollback support, enabling safer schema evolution. (Commit 69773d85...) Major bugs fixed: - Fixed misspelled RetrieveIdFromJwtToken usage across controllers and corrected UserService roles handling to prevent incorrect reassignments. - Updated and stabilized service tests in the frontend layer to reflect new UI and data model changes. Overall impact and accomplishments: - Increased stability and security through centralized API management and robust authentication integration. - Improved data fidelity and backend alignment with frontend edits, including image assets for meals. - Enhanced developer velocity via automated migrations, test coverage expansions, and a clearer route/configuration architecture. - Improved customer-facing capabilities with richer meal content and more reliable meal editing workflows. Technologies/skills demonstrated: - Frontend architecture: API configuration patterns, routing, authentication integration, UI refactors. - Backend alignment: Data model synchronization, image references, and role-based access improvements. - Database: Automigration scripts, rollback support, new tables and foreign keys. - Testing: Expanded coverage and test maintenance for meal and ingredient flows. - DevOps/data safety: Automated migrations and stable deployment of schema changes.

Concise monthly summary for 2024-10 covering aau-giraf/foodplanner focusing on business value and key technical achievements. Feature delivery: Implemented JWT-based user authentication for API requests across ingredients, packed ingredients, and meals. The system now uses token-based authentication with JWTs included in authorization headers, and model imports were aligned to support token-based flows. Commits illustrating the work include adding JWT headers to the ingredient, packed ingredient, and meal service calls (hashes: 97e60a3e74f6de09cc17b23cf9f3150ad3b3004a and 176648976f24793070d5b2ea7ae49088127a3614). Bug fixes and testing: Improved test infrastructure by thoroughly commenting the code and setting up service tests, which enhanced maintainability and test clarity. One regression was introduced in page tests due to the test setup and mock generation changes (commit: c12f0af4c20789478fd421c5b441ca94404d7293). This was identified promptly to guide future fixes. Overall impact and accomplishments: Strengthened API security with stateless JWT authentication enabling scalable, secure API usage across core resources. The targeted service-layer updates reduced risk of unauthorized access and prepared the codebase for future token-based access controls. While the testing regression impacted page tests temporarily, the team gained valuable insights into the test setup, and work is underway to restore full page test stability. Technologies/skills demonstrated: JWT authentication, API service integration, header-based token propagation, model import alignment, test infrastructure improvements, service testing, code commenting and maintainability efforts.