132a667b2a
Refactor deployment script and documentation to correctly handle build isolation for ML dependencies, specifically `eif`, by leveraging environment variables and sequential installation steps. Replit-Commit-Author: Agent Replit-Commit-Session-Id: 7a657272-55ba-4a79-9a2e-f1ed9bc7a528 Replit-Commit-Checkpoint-Type: full_checkpoint Replit-Commit-Event-Id: 7a4bce6a-9957-4807-aa16-ce07daafe00f Replit-Commit-Screenshot-Url: https://storage.googleapis.com/screenshot-production-us-central1/449cf7c4-c97a-45ae-8234-e5c5b8d6a84f/7a657272-55ba-4a79-9a2e-f1ed9bc7a528/2lUhxO2
110 lines
3.1 KiB
Bash
Executable File
110 lines
3.1 KiB
Bash
Executable File
#!/bin/bash
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# Script per installare dipendenze ML Hybrid Detector
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# Risolve il problema di build dependencies (Cython + numpy) richieste da eif
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set -e
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echo "╔═══════════════════════════════════════════════╗"
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echo "║ INSTALLAZIONE DIPENDENZE ML HYBRID ║"
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echo "╚═══════════════════════════════════════════════╝"
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echo ""
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# Vai alla directory python_ml
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cd "$(dirname "$0")/../python_ml" || exit 1
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echo "📍 Directory corrente: $(pwd)"
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echo ""
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# Verifica venv
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if [ ! -d "venv" ]; then
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echo "❌ ERRORE: Virtual environment non trovato in $(pwd)/venv"
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echo " Esegui prima: python3 -m venv venv"
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exit 1
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fi
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# Attiva venv
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echo "🔧 Attivazione virtual environment..."
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source venv/bin/activate
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# Verifica che stiamo usando il venv
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PYTHON_PATH=$(which python)
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echo "📍 Python in uso: $PYTHON_PATH"
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if [[ ! "$PYTHON_PATH" =~ "venv" ]]; then
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echo "⚠️ WARNING: Non stiamo usando il venv correttamente!"
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fi
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echo ""
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# STEP 1: Aggiorna pip/setuptools/wheel (critici per compilazione)
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echo "📦 Step 1/4: Aggiornamento pip/setuptools/wheel..."
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python -m pip install --upgrade pip setuptools wheel
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if [ $? -eq 0 ]; then
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echo "✅ pip/setuptools/wheel aggiornati"
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else
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echo "❌ Errore durante aggiornamento pip"
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exit 1
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fi
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echo ""
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# STEP 2: Installa build dependencies (Cython + numpy)
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echo "📦 Step 2/4: Installazione build dependencies (Cython + numpy)..."
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python -m pip install Cython==3.0.5 numpy==1.26.2
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if [ $? -eq 0 ]; then
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echo "✅ Build dependencies installate"
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else
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echo "❌ Errore durante installazione build dependencies"
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exit 1
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fi
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echo ""
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# STEP 3: Installa ML dependencies (xgboost, joblib)
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echo "📦 Step 3/4: Installazione xgboost e joblib..."
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python -m pip install xgboost==2.0.3 joblib==1.3.2
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if [ $? -eq 0 ]; then
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echo "✅ xgboost e joblib installati"
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else
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echo "❌ Errore durante installazione xgboost/joblib"
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exit 1
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fi
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echo ""
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# STEP 4: Installa eif con build isolation DISABILITATA (via env var)
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echo "📦 Step 4/4: Installazione eif (compilazione senza isolamento)..."
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export PIP_NO_BUILD_ISOLATION=1
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python -m pip install --no-cache-dir eif==2.0.2
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if [ $? -eq 0 ]; then
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echo "✅ Dipendenze ML installate con successo"
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else
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echo "❌ Errore durante installazione dipendenze ML"
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exit 1
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fi
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echo ""
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echo "✅ INSTALLAZIONE COMPLETATA!"
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echo ""
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echo "🧪 Test import eif..."
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python -c "from eif import iForest; print('✅ eif importato correttamente')"
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if [ $? -eq 0 ]; then
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echo ""
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echo "✅ TUTTO OK! Hybrid ML Detector pronto per l'uso"
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echo ""
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echo "📋 Verifica installazione:"
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echo " python -c 'from eif import iForest; print(\"✅ eif OK\")'"
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echo ""
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echo "📋 Prossimi step:"
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echo " 1. Test rapido: python train_hybrid.py --mode test"
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echo " 2. Training completo: python train_hybrid.py --mode train"
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else
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echo "❌ Errore durante test import eif"
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exit 1
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fi
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