- 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 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.
- Introduced a new script for exporting the dashboard as a PDF using html2canvas and jsPDF.
- Added a favicon.ico file and linked it in the base template.
- Updated the base template to include the new PDF export script and modified the button for PDF export functionality.
- Enhanced the index template to include an ID for the dashboard content for PDF generation.
- 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.
