- Aggregator: Flask-based event broker with priority queue - Frontend: OLED-optimized UI with animations - Detectors: disk, cpu, memory, service, network - Unified entry point (sentry.py) with process management - Heartbeat TTL system for auto-clearing stale events Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
86 lines
2.7 KiB
Python
86 lines
2.7 KiB
Python
"""
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Memory Usage Detector
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Monitors RAM usage and reports to the aggregator when thresholds are exceeded.
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Environment variables:
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AGGREGATOR_URL - URL of the aggregator (default: http://localhost:5000)
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CHECK_INTERVAL - Seconds between checks (default: 30)
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THRESHOLD_CRITICAL - Percent usage for critical alert (default: 95)
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THRESHOLD_WARNING - Percent usage for warning alert (default: 85)
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"""
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import os
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import time
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import psutil
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import requests
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# Configuration from environment
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AGGREGATOR_URL = os.environ.get("AGGREGATOR_URL", "http://localhost:5000")
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CHECK_INTERVAL = int(os.environ.get("CHECK_INTERVAL", 30))
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THRESHOLD_CRITICAL = int(os.environ.get("THRESHOLD_CRITICAL", 95))
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THRESHOLD_WARNING = int(os.environ.get("THRESHOLD_WARNING", 85))
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EVENT_ID = "memory_usage"
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def send_event(priority, message):
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"""Send an event to the aggregator with heartbeat TTL."""
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ttl = CHECK_INTERVAL * 2
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try:
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response = requests.post(
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f"{AGGREGATOR_URL}/event",
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json={"id": EVENT_ID, "priority": priority, "message": message, "ttl": ttl},
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timeout=5
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)
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print(f"[EVENT] {message} (priority {priority}, ttl {ttl}s) -> {response.status_code}")
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except requests.RequestException as e:
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print(f"[ERROR] Failed to send event: {e}")
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def clear_event():
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"""Clear the event from the aggregator."""
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try:
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response = requests.post(
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f"{AGGREGATOR_URL}/clear",
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json={"id": EVENT_ID},
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timeout=5
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)
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if response.status_code == 200:
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print(f"[CLEAR] {EVENT_ID}")
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except requests.RequestException as e:
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print(f"[ERROR] Failed to clear event: {e}")
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def main():
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print(f"Memory Usage Detector started")
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print(f" Aggregator: {AGGREGATOR_URL}")
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print(f" Interval: {CHECK_INTERVAL}s")
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print(f" Thresholds: Warning={THRESHOLD_WARNING}%, Critical={THRESHOLD_CRITICAL}%")
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print()
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alert_active = False
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while True:
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mem = psutil.virtual_memory()
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mem_percent = mem.percent
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used_gb = mem.used / (1024 ** 3)
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total_gb = mem.total / (1024 ** 3)
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if mem_percent >= THRESHOLD_CRITICAL:
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send_event(1, f"Memory at {mem_percent:.0f}% ({used_gb:.1f}/{total_gb:.1f} GB)")
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alert_active = True
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elif mem_percent >= THRESHOLD_WARNING:
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send_event(2, f"Memory at {mem_percent:.0f}% ({used_gb:.1f}/{total_gb:.1f} GB)")
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alert_active = True
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else:
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print(f"[OK] Memory: {mem_percent:.0f}% ({used_gb:.1f}/{total_gb:.1f} GB)")
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if alert_active:
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clear_event()
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alert_active = False
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time.sleep(CHECK_INTERVAL)
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if __name__ == "__main__":
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main()
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