38 lines
1.5 KiB
Python
38 lines
1.5 KiB
Python
import json
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import os
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from datetime import datetime, timedelta, timezone
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DATA_FILE = 'monitoring_data.json'
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def load_data():
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if os.path.exists(DATA_FILE):
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with open(DATA_FILE, 'r') as f:
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return json.load(f)
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return []
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def store_data(new_data):
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data = load_data()
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data.append(new_data)
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with open(DATA_FILE, 'w') as f:
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json.dump(data, f, indent=4)
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def calculate_baselines():
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data = load_data()
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if not data:
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return {}
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# For simplicity, we'll average the last 24 hours of data
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# More complex logic can be added here
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recent_data = [d for d in data if 'timestamp' in d and datetime.fromisoformat(d['timestamp'].replace('Z', '')).replace(tzinfo=timezone.utc) > datetime.now(timezone.utc) - timedelta(hours=24)]
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if not recent_data:
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return {}
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baseline_metrics = {
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'avg_rtt': sum(d['network_metrics']['rtt_avg'] for d in recent_data if 'rtt_avg' in d['network_metrics']) / len(recent_data),
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'packet_loss': sum(d['network_metrics']['packet_loss_rate'] for d in recent_data if 'packet_loss_rate' in d['network_metrics']) / len(recent_data),
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'avg_cpu_temp': sum(d['cpu_temperature']['cpu_temperature'] for d in recent_data if d['cpu_temperature']['cpu_temperature'] != "N/A") / len(recent_data),
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'avg_gpu_temp': sum(d['gpu_temperature']['gpu_temperature'] for d in recent_data if d['gpu_temperature']['gpu_temperature'] != "N/A") / len(recent_data),
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}
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return baseline_metrics |