leehwui
26f8e0c648
Major additions: - All-in-One Docker image with Ollama + models bundled - Separate deployment option for existing Ollama installations - Changed default model from qwen3:8b to qwen3:14b - Comprehensive deployment documentation Files added: - Dockerfile: Basic app-only image - Dockerfile.allinone: Complete image with Ollama + models - docker-compose.yml: Easy deployment configuration - docker-entrypoint.sh: Startup script for all-in-one image - requirements.txt: Python dependencies - .dockerignore: Exclude unnecessary files from image Scripts: - export-ollama-models.sh: Export models from local Ollama - build-allinone.sh: Build complete offline-deployable image - build-and-export.sh: Build and export basic image Documentation: - DEPLOYMENT.md: Comprehensive deployment guide - QUICK_START.md: Quick reference for common tasks Configuration: - Updated config.py: DEFAULT_CHAT_MODEL = qwen3:14b - Updated frontend/opro.html: Page title to 系统提示词优化
99 lines
2.7 KiB
Bash
Executable File
99 lines
2.7 KiB
Bash
Executable File
#!/bin/bash
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# Build all-in-one Docker image with Ollama and models
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# This creates a complete offline-deployable image
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set -e
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IMAGE_NAME="system-prompt-optimizer"
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IMAGE_TAG="allinone"
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EXPORT_FILE="${IMAGE_NAME}-${IMAGE_TAG}.tar"
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echo "=========================================="
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echo "Building All-in-One Docker Image"
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echo "=========================================="
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echo ""
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echo "This will create a Docker image containing:"
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echo " - Python application"
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echo " - Ollama service"
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echo " - qwen3:14b model"
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echo " - qwen3-embedding:4b model"
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echo ""
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echo "WARNING: The final image will be 10-20GB in size!"
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echo ""
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# Check if ollama-models directory exists
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if [ ! -d "ollama-models" ]; then
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echo "ERROR: ollama-models directory not found!"
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echo ""
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echo "Please run ./export-ollama-models.sh first to export the models."
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exit 1
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fi
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echo "✓ Found ollama-models directory"
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echo ""
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# Check disk space
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AVAILABLE_SPACE=$(df -h . | awk 'NR==2 {print $4}')
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echo "Available disk space: $AVAILABLE_SPACE"
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echo "Required: ~20GB for build process"
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echo ""
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read -p "Continue with build? (y/n) " -n 1 -r
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echo
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if [[ ! $REPLY =~ ^[Yy]$ ]]; then
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echo "Build cancelled."
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exit 1
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fi
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echo ""
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echo "=========================================="
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echo "Building Docker image..."
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echo "=========================================="
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docker build -f Dockerfile.allinone -t ${IMAGE_NAME}:${IMAGE_TAG} .
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echo ""
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echo "=========================================="
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echo "Build complete!"
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echo "=========================================="
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docker images | grep ${IMAGE_NAME}
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echo ""
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echo "=========================================="
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echo "Exporting image to ${EXPORT_FILE}..."
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echo "=========================================="
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echo "This will take several minutes..."
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docker save -o ${EXPORT_FILE} ${IMAGE_NAME}:${IMAGE_TAG}
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echo ""
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echo "=========================================="
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echo "Export complete!"
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echo "=========================================="
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ls -lh ${EXPORT_FILE}
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echo ""
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echo "=========================================="
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echo "Deployment Instructions"
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echo "=========================================="
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echo ""
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echo "1. Transfer ${EXPORT_FILE} to target server:"
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echo " scp ${EXPORT_FILE} user@server:/path/"
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echo ""
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echo "2. On target server, load the image:"
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echo " docker load -i ${EXPORT_FILE}"
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echo ""
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echo "3. Run the container:"
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echo " docker run -d \\"
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echo " --name system-prompt-optimizer \\"
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echo " -p 8010:8010 \\"
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echo " -p 11434:11434 \\"
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echo " -v \$(pwd)/outputs:/app/outputs \\"
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echo " --restart unless-stopped \\"
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echo " ${IMAGE_NAME}:${IMAGE_TAG}"
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echo ""
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echo "4. Access the application:"
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echo " http://<server-ip>:8010/ui/opro.html"
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echo ""
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echo "See DEPLOYMENT.md for more details."
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