0bf61dc69d
Fixes permission errors for model saving and enhances training logging, ensuring proper storage of ML models and historical data. Replit-Commit-Author: Agent Replit-Commit-Session-Id: 7a657272-55ba-4a79-9a2e-f1ed9bc7a528 Replit-Commit-Checkpoint-Type: full_checkpoint Replit-Commit-Event-Id: 2afb7ddf-484b-4d07-8d99-8c1ca39c0be5 Replit-Commit-Screenshot-Url: https://storage.googleapis.com/screenshot-production-us-central1/449cf7c4-c97a-45ae-8234-e5c5b8d6a84f/7a657272-55ba-4a79-9a2e-f1ed9bc7a528/VDRknFA
94 lines
3.3 KiB
Bash
Executable File
94 lines
3.3 KiB
Bash
Executable File
#!/bin/bash
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# =========================================================
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# INSTALL PYTHON DEPENDENCIES - IDS System
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# =========================================================
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# Installa tutte le dipendenze Python necessarie per IDS
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set -e
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# Colors
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RED='\033[0;31m'
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GREEN='\033[0;32m'
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BLUE='\033[0;34m'
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YELLOW='\033[1;33m'
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NC='\033[0m' # No Color
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IDS_DIR="/opt/ids"
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VENV_DIR="${IDS_DIR}/python_ml/venv"
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echo -e "${BLUE}🐍 Installazione Dipendenze Python per IDS${NC}\n"
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# Check se script è eseguito da root
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if [ "$EUID" -ne 0 ]; then
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echo -e "${RED}❌ Questo script deve essere eseguito come root (usa sudo)${NC}"
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exit 1
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fi
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# Installa python3-venv se non presente
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echo -e "${BLUE}📦 Verifica python3-venv...${NC}"
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if ! rpm -q python3.11-pip &>/dev/null; then
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echo -e "${YELLOW}⚙️ Installazione python3.11-pip...${NC}"
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dnf install -y python3.11-pip
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fi
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# Crea virtual environment
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echo -e "${BLUE}🔧 Creazione virtual environment...${NC}"
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if [ -d "$VENV_DIR" ]; then
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echo -e "${YELLOW}♻️ Virtual environment già esistente, rimuovo...${NC}"
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rm -rf "$VENV_DIR"
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fi
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python3.11 -m venv "$VENV_DIR"
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echo -e "${GREEN}✅ Virtual environment creato in ${VENV_DIR}${NC}"
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# Attiva virtual environment e installa dipendenze
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echo -e "${BLUE}📥 Installazione dipendenze Python...${NC}"
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source "${VENV_DIR}/bin/activate"
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# Upgrade pip
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pip install --upgrade pip
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# Installa dipendenze principali
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pip install fastapi==0.104.1
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pip install uvicorn[standard]==0.24.0
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pip install pydantic==2.5.0
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pip install python-dotenv==1.0.0
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pip install psycopg2-binary==2.9.9
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pip install pandas==2.1.3
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pip install numpy==1.26.2
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pip install scikit-learn==1.3.2
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pip install httpx==0.25.1
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pip install joblib==1.3.2
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echo -e "${GREEN}✅ Dipendenze Python installate${NC}"
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# Cambia ownership a utente ids
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echo -e "${BLUE}🔐 Impostazione permessi...${NC}"
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chown -R ids:ids "$VENV_DIR"
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# Crea directory models per salvataggio modelli ML
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echo -e "${BLUE}📁 Creazione directory models...${NC}"
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mkdir -p "${IDS_DIR}/python_ml/models"
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chown -R ids:ids "${IDS_DIR}/python_ml/models"
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chmod 755 "${IDS_DIR}/python_ml/models"
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echo -e "${GREEN}✅ Directory models configurata${NC}"
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# Verifica installazione
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echo -e "\n${BLUE}🔍 Verifica installazione:${NC}"
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source "${VENV_DIR}/bin/activate"
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python3 -c "import fastapi; print(f'✅ FastAPI: {fastapi.__version__}')"
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python3 -c "import uvicorn; print(f'✅ Uvicorn: {uvicorn.__version__}')"
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python3 -c "import sklearn; print(f'✅ Scikit-learn: {sklearn.__version__}')"
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python3 -c "import pandas; print(f'✅ Pandas: {pandas.__version__}')"
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python3 -c "import httpx; print(f'✅ HTTPX: {httpx.__version__}')"
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python3 -c "import joblib; print(f'✅ Joblib: {joblib.__version__}')"
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echo -e "\n${GREEN}╔═══════════════════════════════════════════════╗${NC}"
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echo -e "${GREEN}║ ✅ DIPENDENZE PYTHON INSTALLATE ║${NC}"
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echo -e "${GREEN}╚═══════════════════════════════════════════════╝${NC}"
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echo -e "\n${BLUE}📝 NOTA:${NC}"
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echo -e " Il virtual environment è in: ${YELLOW}${VENV_DIR}${NC}"
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echo -e " I systemd services useranno automaticamente questo venv"
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echo ""
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