- Standardized code formatting in `flavor.py` and `mathfilters.py` for better visual clarity and consistency.
- Ensured proper indentation and spacing to enhance maintainability and readability of the utility functions.
- 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.
- Updated the tooltip for the CPU standard deviation metric to include a detailed explanation of the calculation, preserving newlines for better readability.
- Added CSS styles to support multi-line tooltips, improving user comprehension of the displayed data.
- Added a tooltip to the CPU standard deviation metric in the dashboard to provide a clearer explanation of the calculation formula, improving user understanding of the displayed data.
- Enhanced the JavaScript fetch logic in base.html to better handle API responses, including improved error messaging and structured data handling.
- Updated the way source status is processed, ensuring clearer differentiation between successful and error states for Prometheus and OpenStack metrics.
- Updated JavaScript to ensure CPU total, free, and usage values are formatted as numbers with one decimal place for consistency.
- Modified HTML template to apply float formatting to the displayed free CPU value, enhancing clarity in metrics presentation.
- Adjusted chart grid color for improved contrast in visualizations.
- Implemented print-specific styles to ensure proper layout and formatting on A4 paper.
- Enhanced chart configuration in JavaScript to include grid line width and tick border dash for clearer data representation.
- Updated HTML to streamline print functionality, replacing the PDF export button with a direct print command.
- 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.
- Introduced a new `stats.py` module to encapsulate dashboard statistics building and cache key constants.
- Refactored `views.py` to utilize the new `build_stats` function for constructing metrics context, improving code organization and readability.
- Updated Prometheus query handling to streamline metrics fetching with a new `fetch_dashboard_metrics` function.
- Enhanced test cases to reflect changes in metrics fetching and context building, ensuring accurate functionality.
- Added new HTML templates for displaying detailed resource allocation and flavor statistics on the dashboard.
