b88377e2d5
Adjusts SQL queries and feature extraction to accommodate changes in the network_logs database schema, enabling automatic weekly retraining of the ML hybrid detector. Replit-Commit-Author: Agent Replit-Commit-Session-Id: 7a657272-55ba-4a79-9a2e-f1ed9bc7a528 Replit-Commit-Checkpoint-Type: intermediate_checkpoint Replit-Commit-Event-Id: f4fdd53b-f433-44d9-9f0f-63616a9eeec1 Replit-Commit-Screenshot-Url: https://storage.googleapis.com/screenshot-production-us-central1/449cf7c4-c97a-45ae-8234-e5c5b8d6a84f/7a657272-55ba-4a79-9a2e-f1ed9bc7a528/2lUhxO2
31 lines
620 B
Desktop File
31 lines
620 B
Desktop File
[Unit]
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Description=IDS ML Hybrid Detector Training
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Documentation=https://github.com/your-repo/ids
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After=network.target postgresql.service
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Requires=postgresql.service
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[Service]
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Type=oneshot
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User=root
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WorkingDirectory=/opt/ids/python_ml
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# Carica environment file per credenziali database
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EnvironmentFile=/opt/ids/.env
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# Esegui training
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ExecStart=/opt/ids/deployment/run_ml_training.sh
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# Timeout generoso (training può richiedere fino a 30 min)
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TimeoutStartSec=1800
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# Log
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StandardOutput=journal
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StandardError=journal
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SyslogIdentifier=ids-ml-training
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# Restart policy
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Restart=no
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[Install]
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WantedBy=multi-user.target
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