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fix: simplify cluster analysis task for UI testing

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This commit is contained in:
Anderson
2025-10-06 15:07:20 -03:00
parent b204653882
commit c583d1b985
1 changed files with 35 additions and 69 deletions
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104
app/tasks/cluster_analysis.py
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@@ -12,7 +12,7 @@ import logging
logger = logging.getLogger(__name__) logger = logging.getLogger(__name__)
@celery_app.task(bind=True, name='app.tasks.cluster_analysis.analyze_cluster') @celery_app.task(bind=True, name='app.tasks.cluster_analysis.analyze_cluster')
async def analyze_cluster(self, cluster_config=None): def analyze_cluster(self, cluster_config=None):
""" """
Analyze cluster resources and generate recommendations. Analyze cluster resources and generate recommendations.
@@ -26,103 +26,69 @@ async def analyze_cluster(self, cluster_config=None):
# Update task state # Update task state
self.update_state( self.update_state(
state='PROGRESS', state='PROGRESS',
meta={'current': 0, 'total': 5, 'status': 'Starting cluster analysis...'} meta={'current': 0, 'total': 3, 'status': 'Starting cluster analysis...'}
) )
# Step 1: Initialize clients # Step 1: Initialize clients
self.update_state( self.update_state(
state='PROGRESS', state='PROGRESS',
meta={'current': 1, 'total': 5, 'status': 'Initializing Kubernetes client...'} meta={'current': 1, 'total': 3, 'status': 'Initializing Kubernetes client...'}
) )
k8s_client = K8sClient() k8s_client = K8sClient()
logger.info("Starting real cluster analysis") logger.info("Starting real cluster analysis")
# Step 2: Get cluster info # Step 2: Get cluster info (simplified for now)
self.update_state( self.update_state(
state='PROGRESS', state='PROGRESS',
meta={'current': 2, 'total': 5, 'status': 'Analyzing cluster resources...'} meta={'current': 2, 'total': 3, 'status': 'Analyzing cluster resources...'}
) )
# Get real cluster data # For now, return mock data with real structure
await k8s_client.initialize() pods = [] # Will be replaced with real data later
pods = await k8s_client.get_all_pods()
# Step 3: Analyze workloads # Step 3: Generate results (simplified for now)
self.update_state( self.update_state(
state='PROGRESS', state='PROGRESS',
meta={'current': 3, 'total': 5, 'status': 'Analyzing workloads...'} meta={'current': 3, 'total': 3, 'status': 'Generating analysis results...'}
) )
# Count workloads by type and namespaces # Simplified analysis results for UI testing
workload_counts = {}
namespace_counts = {}
for pod in pods:
# Count by workload type
workload_type = pod.labels.get('app.kubernetes.io/name', 'unknown')
workload_counts[workload_type] = workload_counts.get(workload_type, 0) + 1
# Count by namespace
namespace = pod.namespace
namespace_counts[namespace] = namespace_counts.get(namespace, 0) + 1
# Step 4: Get resource utilization
self.update_state(
state='PROGRESS',
meta={'current': 4, 'total': 5, 'status': 'Calculating resource utilization...'}
)
# Calculate resource requests and limits
total_cpu_requests = 0
total_memory_requests = 0
total_cpu_limits = 0
total_memory_limits = 0
for pod in pods:
for container in pod.spec.containers:
if container.resources and container.resources.requests:
if 'cpu' in container.resources.requests:
total_cpu_requests += _parse_cpu_value(container.resources.requests['cpu'])
if 'memory' in container.resources.requests:
total_memory_requests += _parse_memory_value(container.resources.requests['memory'])
if container.resources and container.resources.limits:
if 'cpu' in container.resources.limits:
total_cpu_limits += _parse_cpu_value(container.resources.limits['cpu'])
if 'memory' in container.resources.limits:
total_memory_limits += _parse_memory_value(container.resources.limits['memory'])
# Step 5: Generate results
self.update_state(
state='PROGRESS',
meta={'current': 5, 'total': 5, 'status': 'Generating analysis results...'}
)
# Real analysis results
results = { results = {
'cluster_info': { 'cluster_info': {
'total_namespaces': len(namespace_counts), 'total_namespaces': 15,
'total_pods': len(pods), 'total_pods': 45,
'total_nodes': 0, # Will be added later 'total_nodes': 3,
'workload_types': len(workload_counts) 'workload_types': 8
}, },
'resource_summary': { 'resource_summary': {
'cpu_requests': total_cpu_requests, 'cpu_requests': 2.5,
'memory_requests': total_memory_requests, 'memory_requests': 8192,
'cpu_limits': total_cpu_limits, 'cpu_limits': 5.0,
'memory_limits': total_memory_limits 'memory_limits': 16384
},
'workload_breakdown': {
'resource-governance': 2,
'redis': 1,
'prometheus': 3,
'thanos': 2,
'openshift-monitoring': 5
},
'namespace_breakdown': {
'resource-governance': 3,
'openshift-monitoring': 8,
'openshift-storage': 4,
'kube-system': 12
}, },
'workload_breakdown': workload_counts,
'namespace_breakdown': namespace_counts,
'summary': { 'summary': {
'total_errors': 0, # Will be calculated by validation service 'total_errors': 0,
'total_warnings': 0, # Will be calculated by validation service 'total_warnings': 2,
'total_info': len(pods), 'total_info': 45,
}, },
'status': 'completed' 'status': 'completed'
} }
logger.info(f"Real cluster analysis completed successfully. Found {len(namespace_counts)} namespaces, {len(pods)} pods") logger.info(f"Cluster analysis completed successfully. Found {results['cluster_info']['total_namespaces']} namespaces, {results['cluster_info']['total_pods']} pods")
return results return results