- Introduced `serialize_audit_for_response` and `serialize_current_cluster_for_template` functions to handle JSON serialization of audit and cluster data, enhancing data consistency for API responses and template rendering.
- Updated `get_mock_context` in `mock_data.py` to utilize the new serialization functions, simplifying the mock data structure and improving readability.
- Refactored `collect_context` and `collect_audits` in `views.py` to leverage the new serialization methods, ensuring a cleaner and more maintainable codebase.
- Added unit tests for the new serialization functions to ensure correctness and reliability of data formatting.
- Expanded mock data to include additional host labels and updated CPU current and projected values for better representation.
- Modified JavaScript to conditionally display projected CPU statistics and standard deviation, improving user experience.
- Refactored chart configuration to dynamically handle datasets based on the presence of projected data.
- Updated HTML to include a new block for displaying standard deviation, enhancing clarity in CPU metrics presentation.
- Standardized string quotes across multiple files to use double quotes for consistency.
- Improved formatting of JSON dumps in mock data for better readability.
- Enhanced the structure of various functions and data definitions for clarity.
- Updated test cases to reflect changes in data structure and ensure accuracy.
- Added DM Sans font to the project, including multiple weights and styles for improved typography.
- Updated package.json and package-lock.json to include @fontsource/dm-sans dependency.
- Enhanced dashboard context to include current cluster CPU state, integrating new data into the context and API responses.
- Updated relevant templates and JavaScript to utilize the new current cluster data for better visualization and user experience.
- Updated .dockerignore and .gitignore for better file management.
- Introduced .env.example for environment variable configuration.
- Added docker-compose.dev.yml for development with mock data and live reload.
- Enhanced Dockerfile to include necessary dependencies and entrypoint script.
- Created mock_data.py to provide sample data for testing without OpenStack/Prometheus.
- Added unit tests for template filters in dashboard.
- Cleaned up various files for consistency and improved readability.
