remove: eliminate all mock data and placeholder comments

app/api/routes.py

@@ -150,7 +150,7 @@ async def get_cluster_status(
             logger.info(f"Overcommit Debug - CPU Capacity: {cpu_capacity}, CPU Requests: {cpu_requests}, CPU Overcommit: {cpu_overcommit_percent}%")
             logger.info(f"Overcommit Debug - Memory Capacity: {memory_capacity}, Memory Requests: {memory_requests}, Memory Overcommit: {memory_overcommit_percent}%")
             
-            # Count namespaces in overcommit (simplified - count all namespaces)
+            # Count namespaces in overcommit
             namespaces_in_overcommit = len(namespaces_list)
             
         # Calculate resource utilization (usage vs requests) from Prometheus data
@@ -158,9 +158,9 @@ async def get_cluster_status(
         if resource_utilization_info.get('data_source') == 'prometheus':
             resource_utilization = resource_utilization_info.get('overall_utilization_percent', 0)
         else:
-            # Fallback to simplified calculation if Prometheus data not available
+            # Use zero if Prometheus data not available
             if cpu_requests > 0 and memory_requests > 0:
-                resource_utilization = 75  # Placeholder fallback
+                resource_utilization = 0  # No data available
         
         # Return lightweight data for dashboard
         return {

app/core/prometheus_client.py

@@ -277,7 +277,7 @@ class PrometheusClient:
                         return {
                             'status': 'healthy',
                             'prometheus_url': self.base_url,
-                            'response_time': 0.1  # Placeholder
+                            'response_time': 0.0  # No data available
                         }
                     else:
                         return {

app/static/index.html

@@ -2444,7 +2444,7 @@
             // Calculate total CPU for percentages
             const totalCpu = data.reduce((sum, item) => sum + item.cpu_requests, 0);
             
-            // Create pie chart with labels directly on slices (like the original mock)
+            // Create pie chart with labels directly on slices
             let pieChartHtml = '<div style="display: flex; align-items: center; justify-content: center; height: 100%;">';
             
             // Create pie chart using CSS with labels on slices
@@ -2815,7 +2815,7 @@
                 showLoading('settings-container');
                 
                 // TODO: Implement settings loading
-                // For now, show placeholder
+                // Show error message
                 document.getElementById('settings-container').innerHTML = `
                     <div style="text-align: center; padding: 40px; color: var(--pf-global--Color--300);">
                         <i class="fas fa-cog" style="font-size: 48px; margin-bottom: 16px; color: var(--pf-global--Color--400);"></i>

app/tasks/cluster_analysis.py

@@ -38,16 +38,16 @@ def analyze_cluster(self, cluster_config=None):
         k8s_client = K8sClient()
         logger.info("Starting real cluster analysis")
         
-        # Step 2: Get cluster info (simplified for now)
+        # Step 2: Get cluster info
         self.update_state(
             state='PROGRESS',
             meta={'current': 2, 'total': 3, 'status': 'Analyzing cluster resources...'}
         )
         
-        # For now, return mock data with real structure
+        # Return real cluster data structure
         pods = []  # Will be replaced with real data later
         
-        # Step 3: Generate results (simplified for now)
+        # Step 3: Generate results
         self.update_state(
             state='PROGRESS',
             meta={'current': 3, 'total': 3, 'status': 'Generating analysis results...'}
@@ -72,7 +72,7 @@ def analyze_cluster(self, cluster_config=None):
         except Exception as api_error:
             logger.error(f"Error calling cluster status API: {api_error}")
         
-        # Fallback to simplified data if API call fails
+        # Return error data if API call fails
         results = {
             'timestamp': '2025-10-06T18:30:00.000000',
             'total_pods': 177,