ShallowCodeResearch / mcp_hub /health_monitoring.py
HallD's picture
Upload 60 files
df2b222 verified
raw
history blame
10 kB
"""System health monitoring and status dashboard functionality."""
import time
import psutil
from datetime import datetime
from typing import Dict, Any
from .config import api_config
from .logging_config import logger
from .reliability_utils import health_monitor
from .performance_monitoring import metrics_collector
class SystemHealthChecker:
"""Comprehensive system health checking."""
def __init__(self):
self.last_check = None
self.health_status = {}
def check_api_connectivity(self) -> Dict[str, Any]:
"""Check connectivity to external APIs."""
results = {}
# Check Nebius API
try:
from openai import OpenAI
client = OpenAI(
api_key=api_config.nebius_api_key,
base_url=api_config.nebius_base_url
)
start_time = time.time()
# Make a minimal test call
response = client.chat.completions.create(
model="meta-llama/Meta-Llama-3.1-8B-Instruct",
messages=[{"role": "user", "content": "test"}],
max_tokens=1
)
response_time = time.time() - start_time
results["nebius"] = {
"status": "healthy",
"response_time_ms": response_time * 1000,
"last_checked": datetime.now().isoformat()
}
except Exception as e:
results["nebius"] = {
"status": "unhealthy",
"error": str(e),
"last_checked": datetime.now().isoformat()
}
# Check Tavily API
try:
from tavily import TavilyClient
client = TavilyClient(api_key=api_config.tavily_api_key)
start_time = time.time()
# Make a minimal test search
response = client.search(query="test", max_results=1)
response_time = time.time() - start_time
results["tavily"] = {
"status": "healthy",
"response_time_ms": response_time * 1000,
"last_checked": datetime.now().isoformat()
}
except Exception as e:
results["tavily"] = {
"status": "unhealthy",
"error": str(e),
"last_checked": datetime.now().isoformat()
}
return results
def check_system_resources(self) -> Dict[str, Any]:
"""Check system resource usage."""
try:
# CPU usage
cpu_percent = psutil.cpu_percent(interval=1)
# Memory usage
memory = psutil.virtual_memory()
# Disk usage
disk = psutil.disk_usage('/')
# Process-specific metrics
process = psutil.Process()
process_memory = process.memory_info()
return {
"cpu_percent": cpu_percent,
"memory": {
"total_gb": memory.total / (1024**3),
"available_gb": memory.available / (1024**3),
"percent_used": memory.percent
},
"disk": {
"total_gb": disk.total / (1024**3),
"free_gb": disk.free / (1024**3),
"percent_used": (disk.used / disk.total) * 100
},
"process": {
"memory_mb": process_memory.rss / (1024**2),
"cpu_percent": process.cpu_percent()
},
"status": "healthy",
"last_checked": datetime.now().isoformat()
}
except Exception as e:
return {
"status": "unhealthy",
"error": str(e),
"last_checked": datetime.now().isoformat()
}
def check_cache_health(self) -> Dict[str, Any]:
"""Check cache system health."""
try:
from cache_utils import cache_manager
# Count cache files
cache_files = list(cache_manager.cache_dir.glob("*.cache"))
# Calculate cache directory size
total_size = sum(f.stat().st_size for f in cache_files)
return {
"cache_files_count": len(cache_files),
"total_size_mb": total_size / (1024**2),
"cache_directory": str(cache_manager.cache_dir),
"status": "healthy",
"last_checked": datetime.now().isoformat()
}
except Exception as e:
return {
"status": "unhealthy",
"error": str(e),
"last_checked": datetime.now().isoformat()
}
def get_comprehensive_health_report(self) -> Dict[str, Any]:
"""Get a comprehensive health report of the entire system."""
logger.info("Generating comprehensive health report")
report = {
"timestamp": datetime.now().isoformat(),
"overall_status": "healthy" # Will be updated based on checks
}
# Check API connectivity
api_health = self.check_api_connectivity()
report["api_connectivity"] = api_health
# Check system resources
system_health = self.check_system_resources()
report["system_resources"] = system_health
# Check cache health
cache_health = self.check_cache_health()
report["cache_system"] = cache_health
# Get API health stats from monitor
try:
nebius_stats = health_monitor.get_health_stats("nebius")
tavily_stats = health_monitor.get_health_stats("tavily")
report["api_performance"] = {
"nebius": nebius_stats,
"tavily": tavily_stats
}
except Exception as e:
report["api_performance"] = {"error": str(e)}
# Get performance metrics
try:
performance_summary = metrics_collector.get_metrics_summary()
report["performance_metrics"] = performance_summary
except Exception as e:
report["performance_metrics"] = {"error": str(e)}
# Determine overall status
unhealthy_components = []
for service, status in api_health.items():
if status.get("status") == "unhealthy":
unhealthy_components.append(f"API:{service}")
if system_health.get("status") == "unhealthy":
unhealthy_components.append("system_resources")
if cache_health.get("status") == "unhealthy":
unhealthy_components.append("cache_system")
if unhealthy_components:
report["overall_status"] = "degraded"
report["unhealthy_components"] = unhealthy_components
self.last_check = datetime.now()
self.health_status = report
logger.info(f"Health report generated: {report['overall_status']}")
return report
# Global health checker instance
health_checker = SystemHealthChecker()
def create_health_dashboard() -> str:
"""Create a formatted health dashboard for display."""
report = health_checker.get_comprehensive_health_report()
dashboard = f"""
# πŸ₯ System Health Dashboard
**Last Updated:** {report['timestamp']}
**Overall Status:** {'🟒' if report['overall_status'] == 'healthy' else '🟑' if report['overall_status'] == 'degraded' else 'πŸ”΄'} {report['overall_status'].upper()}
## 🌐 API Connectivity
"""
for service, status in report.get("api_connectivity", {}).items():
status_icon = "🟒" if status.get("status") == "healthy" else "πŸ”΄"
response_time = status.get("response_time_ms", 0)
dashboard += f"- **{service.title()}:** {status_icon} {status.get('status', 'unknown')} ({response_time:.1f}ms)\n"
dashboard += "\n## πŸ’» System Resources\n"
sys_resources = report.get("system_resources", {})
if "memory" in sys_resources:
memory = sys_resources["memory"]
dashboard += f"- **Memory:** {memory['percent_used']:.1f}% used ({memory['available_gb']:.1f}GB available)\n"
if "cpu_percent" in sys_resources:
dashboard += f"- **CPU:** {sys_resources['cpu_percent']:.1f}% usage\n"
if "process" in sys_resources:
process = sys_resources["process"]
dashboard += f"- **Process Memory:** {process['memory_mb']:.1f}MB\n"
dashboard += "\n## πŸ“Š Performance Metrics\n"
perf_metrics = report.get("performance_metrics", {})
if perf_metrics and not perf_metrics.get("error"):
for metric_name, metric_data in perf_metrics.items():
if isinstance(metric_data, dict) and "average" in metric_data:
dashboard += f"- **{metric_name}:** Avg: {metric_data['average']:.3f}, Count: {metric_data['count']}\n"
dashboard += "\n## πŸ”§ Cache System\n"
cache_info = report.get("cache_system", {})
if cache_info.get("status") == "healthy":
dashboard += f"- **Cache Files:** {cache_info.get('cache_files_count', 0)} files\n"
dashboard += f"- **Cache Size:** {cache_info.get('total_size_mb', 0):.1f}MB\n"
if report.get("unhealthy_components"):
dashboard += "\n## ⚠️ Issues Detected\n"
for component in report["unhealthy_components"]:
dashboard += f"- {component}\n"
return dashboard