- 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.
- 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.
- 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.
