Update dashboard metrics and enhance CPU statistics visualization

- 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.

dashboard/mock_data.py

@@ -21,9 +21,9 @@ def get_mock_context():
     vram_total = pram_total * vram_overcommit_max
 
     # Two sample audits with serialized fields for JS
-    host_labels = ["compute-0", "compute-1", "compute-2", "compute-3", "compute-4", "compute-5"]
-    cpu_current = [45.2, 38.1, 52.0, 41.3, 29.8, 48.5]
-    cpu_projected = [42.0, 40.0, 48.0, 44.0, 35.0, 46.0]
+    host_labels = ["compute-0", "compute-1", "compute-2", "compute-3", "compute-4", "compute-5", "compute-6", "compute-7", "compute-8", "compute-9", "compute-10", "compute-11"]
+    cpu_current = [45.2, 38.1, 52.0, 41.3, 29.8, 32.1, 36.4, 29.2, 42.2, 41.3, 28.3, 33.3]
+    cpu_projected = [42.0, 40.0, 48.0, 44.0, 35.0, 46.0, 43.0, 43.0, 44.0, 48.0, 47.0, 49.0]
 
     audits = [
         {