File size: 10,004 Bytes
df2b222 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 |
"""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"""
# 🏥 System Health Dashboard
**Last Updated:** {report['timestamp']}
**Overall Status:** {'🟢' if report['overall_status'] == 'healthy' else '🟡' if report['overall_status'] == 'degraded' else '🔴'} {report['overall_status'].upper()}
## 🌐 API Connectivity
"""
for service, status in report.get("api_connectivity", {}).items():
status_icon = "🟢" if status.get("status") == "healthy" else "🔴"
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## 💻 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## 📊 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## 🔧 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
|