Introduced initial database migrations for GPS logging and Mood tracking functionality, setting the foundation for data model structures in these modules. The migrations define essential entities such as GPSTrack, GPSToken, GPSPoint for the GPS logging module, and Mood, Activity, Aspect among others for the Mood tracking module. This pivotal change enables storing and managing user-generated GPS and mood data efficiently, paving the way for the implementation of core features related to GPS tracking and mood analysis. By removing 'migrations/' from .gitignore, we ensure future migrations are tracked and version-controlled, facilitating smoother database schema updates and deployments.
Added a new `launch.json` configuration for VSCode to enable debugging Django applications directly within the IDE. This setup specifically configures the Python Debugger (`debugpy`) for Django with custom server port `8091`, enhancing the development workflow by allowing developers to debug their Django applications without the need for external tools. The configuration is tailored to provide a smoother integration of debugging capabilities, focusing on improving productivity and efficiency during the development process.
This change reflects a broader effort to streamline the development environment, ensuring that team members can quickly and effectively troubleshoot issues, test new features, and iterate on their Django applications within a familiar and integrated development environment.
Updated the django-polymorphic package to a specific alpha version (v4.0.0a) directly from its Git repository. This change ensures compatibility with ongoing project requirements and addresses potential issues with the previously used version. It is important to monitor the stability and updates of this alpha version closely in the project's development environment.
Migrated the django-multiselectfield dependency source to a new
repository URL to align with our updated internal hosting strategy. This
change ensures that our dependency management is consistent with current
guidelines and utilizes our private repository infrastructure for better
control and security.
Updated the property for setting the chart legend's label from `legend`
to `legend_label` in the `moodpies` function to align with the latest
library syntax. This change ensures compatibility with newer versions of
the visualization library, preventing potential issues with legend
rendering in mood statistics charts.
This commit streamlines mood and activity visualization code in
mood/statistics.py for better readability and maintainability. By
consolidating similar code blocks, replacing ' extension calls with
consistent double quotes, and reformatting large data structures for
clarity, we ensure the code is more Pythonic and easier to follow.
Additionally, the alterations in how pie charts and mood statistics are
generated not only maintain functionality but also reduce cognitive load
when navigating the codebase. These changes pave the way for future
enhancements and debugging efforts by making the codebase more
approachable.
Standardized the parameter name for setting chart height across all
chart creation functions in statistics.py. Replaced `plot_height` with
`height` to align with the latest visualization library conventions.
This change enhances code consistency and adheres to the updated library
API, ensuring future compatibility and easier maintenance.
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.
