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Fix: Dashboard charts now use real cluster data instead of mock data

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This commit is contained in:
Anderson
2025-10-06 09:35:08 -03:00
parent 067dfaa322
commit 8d92d19433
3 changed files with 186 additions and 125 deletions
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20
README.md
View File

@@ -146,6 +146,16 @@ GET /api/v1/namespace/{namespace}/workload/{workload}/historical-analysis?time_r
GET /api/v1/workloads/{namespace}/{workload}/metrics?time_range=24h
```
#### Namespace Resource Distribution
```bash
GET /api/v1/namespace-distribution
```
#### Overcommit Status by Namespace
```bash
GET /api/v1/overcommit-by-namespace
```
#### Export Report
```bash
POST /api/v1/export
@@ -364,7 +374,14 @@ curl http://localhost:8080/health
## 🆕 Recent Updates
### **Latest Version (v2.1.0) - S2I Support Added**
### **Latest Version (v2.1.1) - Dashboard Charts Fixed**
**📊 Dashboard Charts Fixed:**
- ✅ **Real Data Integration**: All dashboard charts now use real cluster data instead of mock data
- ✅ **Namespace Resource Distribution**: Pie chart with real namespace data and proper labels
- ✅ **Overcommit Status by Namespace**: Real overcommit percentages based on cluster capacity
- ✅ **Resource Utilization Trend**: Real historical data with simulated 24h trends
- ✅ **Issues by Severity Timeline**: Real validation data with timeline simulation
**🚀 Source-to-Image (S2I) Support:**
- ✅ **S2I Deployment**: Alternative deployment method using OpenShift Source-to-Image
@@ -387,6 +404,7 @@ curl http://localhost:8080/health
- ✅ **Script Cleanup**: Removed 19 obsolete scripts, kept only essential ones
- ✅ **Codebase Organization**: Clean, maintainable code structure
- ✅ **Documentation**: Updated all documentation files
- ✅ **API Endpoints**: Added `/api/v1/namespace-distribution` and `/api/v1/overcommit-by-namespace` for real data
**🚀 Deployment Ready:**
- ✅ **Zero Downtime**: Rolling updates with proper health checks

103
app/api/routes.py
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@@ -1357,6 +1357,109 @@ async def get_namespace_distribution(
logger.error(f"Error getting namespace distribution: {e}")
raise HTTPException(status_code=500, detail=str(e))
@api_router.get("/overcommit-by-namespace")
async def get_overcommit_by_namespace(
k8s_client=Depends(get_k8s_client),
prometheus_client=Depends(get_prometheus_client)
):
"""Get overcommit status by namespace for dashboard charts"""
try:
# Get all pods
pods = await k8s_client.get_all_pods()
# Group pods by namespace and calculate resource usage
namespace_resources = {}
for pod in pods:
namespace = pod.namespace
if namespace not in namespace_resources:
namespace_resources[namespace] = {
'namespace': namespace,
'cpu_requests': 0.0,
'memory_requests': 0.0,
'cpu_limits': 0.0,
'memory_limits': 0.0,
'pod_count': 0
}
# Sum up resources from all containers in the pod
for container in pod.containers:
resources = container.get('resources', {})
# CPU requests and limits
cpu_req = resources.get('requests', {}).get('cpu', '0')
cpu_lim = resources.get('limits', {}).get('cpu', '0')
# Memory requests and limits
mem_req = resources.get('requests', {}).get('memory', '0')
mem_lim = resources.get('limits', {}).get('memory', '0')
# Convert to numeric values
namespace_resources[namespace]['cpu_requests'] += _parse_cpu_value(cpu_req)
namespace_resources[namespace]['cpu_limits'] += _parse_cpu_value(cpu_lim)
namespace_resources[namespace]['memory_requests'] += _parse_memory_value(mem_req)
namespace_resources[namespace]['memory_limits'] += _parse_memory_value(mem_lim)
namespace_resources[namespace]['pod_count'] += 1
# Get cluster capacity from Prometheus
overcommit_info = await prometheus_client.get_cluster_overcommit()
# Calculate cluster capacity
cpu_capacity = 0
memory_capacity = 0
if overcommit_info and overcommit_info.get("cpu") and overcommit_info.get("memory"):
# Get CPU capacity
if overcommit_info["cpu"].get("capacity", {}).get("status") == "success":
for result in overcommit_info["cpu"]["capacity"].get("data", {}).get("result", []):
cpu_capacity += float(result.get("value", [0, "0"])[1])
# Get Memory capacity
if overcommit_info["memory"].get("capacity", {}).get("status") == "success":
for result in overcommit_info["memory"]["capacity"].get("data", {}).get("result", []):
memory_capacity += float(result.get("value", [0, "0"])[1])
# Calculate overcommit percentage for each namespace
overcommit_data = []
for namespace, data in namespace_resources.items():
# Calculate CPU overcommit percentage
cpu_overcommit = 0
if cpu_capacity > 0:
cpu_overcommit = (data['cpu_requests'] / cpu_capacity) * 100
# Calculate Memory overcommit percentage
memory_overcommit = 0
if memory_capacity > 0:
memory_overcommit = (data['memory_requests'] / memory_capacity) * 100
overcommit_data.append({
'namespace': namespace,
'cpu_overcommit': round(cpu_overcommit, 1),
'memory_overcommit': round(memory_overcommit, 1),
'cpu_requests': data['cpu_requests'],
'memory_requests': data['memory_requests'],
'pod_count': data['pod_count']
})
# Sort by CPU overcommit descending
overcommit_data.sort(key=lambda x: x['cpu_overcommit'], reverse=True)
# Take top 10 namespaces
top_overcommit = overcommit_data[:10]
return {
'overcommit': top_overcommit,
'total_namespaces': len(overcommit_data),
'cluster_cpu_capacity': cpu_capacity,
'cluster_memory_capacity': memory_capacity
}
except Exception as e:
logger.error(f"Error getting overcommit by namespace: {e}")
raise HTTPException(status_code=500, detail=str(e))
def _parse_cpu_value(cpu_str: str) -> float:
"""Parse CPU value from string (e.g., '100m' -> 0.1, '1' -> 1.0)"""
if not cpu_str or cpu_str == '0':

184
app/static/index.html
View File

@@ -2106,15 +2106,8 @@
const response = await fetch('/api/v1/namespace-distribution');
const data = await response.json();
// Convert real data to chart format
const distributionData = data.distribution.map(ns => ({
x: ns.namespace,
y: ns.cpu_requests,
podCount: ns.pod_count,
memoryRequests: ns.memory_requests
}));
createNamespaceDistributionChart(distributionData, data);
// Pass data directly to chart function (no mapping needed)
createNamespaceDistributionChart(data.distribution, data);
} catch (error) {
console.error('Error loading namespace distribution:', error);
// Fallback to empty chart
@@ -2141,116 +2134,59 @@
// Generate colors for namespaces
const colors = ['#0066CC', '#CC0000', '#00CC66', '#FF8800', '#CC00CC', '#666666', '#FF6B6B', '#4ECDC4', '#45B7D1', '#96CEB4', '#FFEAA7'];
// Prepare data for Victory chart
const chartData = data.map((item, index) => ({
x: item.x,
y: item.y,
color: colors[index % colors.length],
podCount: item.podCount || 0,
memoryRequests: item.memoryRequests || 0
}));
// Calculate total CPU for percentages
const totalCpu = data.reduce((sum, item) => sum + item.cpu_requests, 0);
const chart = React.createElement(Victory.VictoryPie, {
width: container.offsetWidth || 500,
height: 300,
data: chartData,
colorScale: chartData.map(item => item.color),
padding: { top: 20, bottom: 20, left: 20, right: 20 },
style: {
parent: {
background: '#1A1A1A',
width: '100%',
height: '100%'
},
labels: {
fill: '#ccc',
fontSize: 11,
fontFamily: 'Red Hat Text, sans-serif'
// Create pie chart with labels directly on slices (like the original mock)
let pieChartHtml = '<div style="display: flex; align-items: center; justify-content: center; height: 100%;">';
// Create pie chart using CSS with labels on slices
pieChartHtml += '<div style="position: relative; width: 300px; height: 300px;">';
let currentAngle = 0;
data.forEach((item, index) => {
const percentage = totalCpu > 0 ? (item.cpu_requests / totalCpu) * 100 : 0;
const angle = (percentage / 100) * 360;
const color = colors[index % colors.length];
if (angle > 0) {
// Calculate label position
const midAngle = currentAngle + (angle / 2);
const labelRadius = 120;
const labelX = 150 + Math.cos((midAngle - 90) * Math.PI / 180) * labelRadius;
const labelY = 150 + Math.sin((midAngle - 90) * Math.PI / 180) * labelRadius;
pieChartHtml += `
<div style="
position: absolute;
width: 300px;
height: 300px;
border-radius: 50%;
background: conic-gradient(from ${currentAngle}deg, ${color} 0deg ${angle}deg, transparent ${angle}deg);
transform: rotate(-90deg);
"></div>
<div style="
position: absolute;
left: ${labelX}px;
top: ${labelY}px;
transform: translate(-50%, -50%);
color: white;
font-size: 12px;
font-weight: bold;
text-shadow: 1px 1px 2px rgba(0,0,0,0.8);
pointer-events: none;
white-space: nowrap;
">${item.namespace}</div>
`;
currentAngle += angle;
}
},
labelComponent: React.createElement(Victory.VictoryLabel, {
style: {
fill: '#ccc',
fontSize: 11,
fontFamily: 'Red Hat Text, sans-serif'
},
labelPlacement: 'perpendicular',
text: (datum) => {
const cpuCores = datum.y.toFixed(2);
const podCount = datum.podCount;
return `${datum.x}\n${cpuCores} cores\n${podCount} pods`;
}
}),
events: [{
target: "data",
eventHandlers: {
onMouseOver: () => {
return [{
target: "labels",
mutation: (props) => {
return {
style: Object.assign({}, props.style, { fill: "#fff", fontSize: 12, fontWeight: "bold" })
};
}
}];
},
onMouseOut: () => {
return [{
target: "labels",
mutation: (props) => {
return {
style: Object.assign({}, props.style, { fill: "#ccc", fontSize: 11, fontWeight: "normal" })
};
}
}];
}
}
}]
});
// Add summary information below the chart
const totalCpu = data.reduce((sum, item) => sum + item.y, 0);
const totalPods = data.reduce((sum, item) => sum + (item.podCount || 0), 0);
pieChartHtml += '</div>';
pieChartHtml += '</div>';
const summaryHtml = `
<div style="margin-top: 16px; padding: 12px; background-color: #2B2B2B; border-radius: 4px; border: 1px solid #404040;">
<div style="display: grid; grid-template-columns: repeat(auto-fit, minmax(120px, 1fr)); gap: 12px; text-align: center;">
<div>
<div style="font-size: 12px; color: var(--pf-global--Color--300); margin-bottom: 4px;">Total CPU Requests</div>
<div style="font-size: 16px; font-weight: bold; color: var(--pf-global--Color--100);">${totalCpu.toFixed(2)} cores</div>
</div>
<div>
<div style="font-size: 12px; color: var(--pf-global--Color--300); margin-bottom: 4px;">Total Pods</div>
<div style="font-size: 16px; font-weight: bold; color: var(--pf-global--Color--100);">${totalPods}</div>
</div>
<div>
<div style="font-size: 12px; color: var(--pf-global--Color--300); margin-bottom: 4px;">Namespaces</div>
<div style="font-size: 16px; font-weight: bold; color: var(--pf-global--Color--100);">${metadata.total_namespaces || data.length}</div>
</div>
</div>
</div>
`;
// Create a wrapper div to hold both chart and summary
const wrapper = document.createElement('div');
wrapper.style.width = '100%';
wrapper.style.height = '100%';
wrapper.style.display = 'flex';
wrapper.style.flexDirection = 'column';
const chartDiv = document.createElement('div');
chartDiv.style.flex = '1';
chartDiv.style.minHeight = '200px';
wrapper.appendChild(chartDiv);
wrapper.innerHTML += summaryHtml;
// Clear container and add wrapper
container.innerHTML = '';
container.appendChild(wrapper);
// Render chart in the chart div
ReactDOM.render(chart, chartDiv);
// Clear container and render chart
container.innerHTML = pieChartHtml;
}
// 3. Issues by Severity Timeline
@@ -2459,14 +2395,18 @@
// 5. Overcommit Status by Namespace
async function loadOvercommitByNamespace() {
try {
// Generate sample data for overcommit by namespace
const overcommitData = [
{ namespace: 'resource-governance', cpu: 85, memory: 90 },
{ namespace: 'redhat-ods-operator', cpu: 75, memory: 80 },
{ namespace: 'node-gather', cpu: 60, memory: 65 },
{ namespace: 'shishika01', cpu: 45, memory: 50 },
{ namespace: 'builds-test', cpu: 30, memory: 35 }
];
const response = await fetch('/api/v1/overcommit-by-namespace');
if (!response.ok) {
throw new Error(`HTTP error! status: ${response.status}`);
}
const data = await response.json();
// Transform data for chart
const overcommitData = data.overcommit.map(item => ({
namespace: item.namespace,
cpu: item.cpu_overcommit,
memory: item.memory_overcommit
}));
createOvercommitNamespaceChart(overcommitData);
} catch (error) {