Introduces DashboardSection class to encapsulate dashboard logic,
enabling easier extension and customization. Adds separate mood
and dreams dashboard templates to streamline content rendering.
Refactors main dashboard template to dynamically render content
from enabled modules using a new template tag system, improving
flexibility and maintainability.
Revises footer content to include a new company name and links to
the source code repository, enhancing transparency and resource
accessibility.
Reorders the ENABLED_MODULES list to ensure correct load order.
Improves readability by adjusting whitespace and formatting.
Enhances visual consistency in card components by updating
CSS classes and HTML structure for better alignment and spacing.
Removed unnecessary imports across various modules to streamline the application's dependencies and improve loading times. Specific changes include the removal of unused Django model and admin imports in several apps, simplifying view imports by eliminating unutilized components, and cleaning up static CSS for better maintainability. Corrections were made to conditional expressions for clearer logic. The removal of the django.test.TestCase import in test files reflects a shift towards a different testing strategy or the current lack of tests. Exception handling has been made more explicit to avoid catching unintended exceptions, paving the way for more robust error handling and logging in the future. Additionally, a new CSS file was added for frontend enhancements, indicating ongoing UI/UX improvements.
These changes collectively aim to make the codebase more maintainable and efficient, reducing clutter and focusing on used functionalities. It's a step towards optimizing the application's performance and ensuring a clean, manageable codebase for future development.
Reinforced user data access rules to bolster security and reorganized distribution files into separate directories for cleaner structure. Added a new heatmap visualization for mood statistics on the dashboard, making user engagements more interactive and insightful. Implemented a JSON view to support the heatmap feature, fetching mood entries within a specified time range.
This change responds to the need for improved data security and a more engaging user interface, directly addressing user feedback for clearer insights into their mood patterns over time.
Simplified the alert system in the topbar by removing outdated
notifications and placeholder content for messages. Introduced a generic
alert placeholder to hint at potential future alert implementations.
This change aims to declutter the UI and enhance user experience by
focusing on relevant and streamlined information. Additionally, the
removal of the message center underscores a shift towards simplifying
user interactions within the platform.
