0ab5e45413
Create SQL schemas for `detections`, `training_history`, and `whitelist` tables to manage IDS data, model training logs, and trusted IPs. Replit-Commit-Author: Agent Replit-Commit-Session-Id: 7a657272-55ba-4a79-9a2e-f1ed9bc7a528 Replit-Commit-Checkpoint-Type: full_checkpoint Replit-Commit-Event-Id: f93295bb-74e9-4b67-b3d7-05437cb8c23f Replit-Commit-Screenshot-Url: https://storage.googleapis.com/screenshot-production-us-central1/449cf7c4-c97a-45ae-8234-e5c5b8d6a84f/7a657272-55ba-4a79-9a2e-f1ed9bc7a528/MkBJZ0L
31 lines
1.0 KiB
SQL
31 lines
1.0 KiB
SQL
-- =========================================================
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-- SCHEMA: Tabella training_history per storico ML
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-- =========================================================
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-- Memorizza storia training modelli ML
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-- =========================================================
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-- Drop tabella se esiste (solo per ambiente di sviluppo)
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DROP TABLE IF EXISTS training_history CASCADE;
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-- Crea tabella training_history
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CREATE TABLE training_history (
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id VARCHAR PRIMARY KEY DEFAULT gen_random_uuid(),
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model_version TEXT NOT NULL,
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records_processed INTEGER NOT NULL,
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features_count INTEGER NOT NULL,
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accuracy DECIMAL(5, 2),
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training_duration INTEGER,
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status TEXT NOT NULL,
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notes TEXT,
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trained_at TIMESTAMP NOT NULL DEFAULT NOW()
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);
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-- Indici per performance
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CREATE INDEX IF NOT EXISTS trained_at_idx ON training_history(trained_at);
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-- Commento tabella
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COMMENT ON TABLE training_history IS 'Storico training modelli ML per IDS';
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-- Verifica
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SELECT 'Tabella training_history creata con successo!' AS status;
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