Adaptive Machine Learning Model Deployment Pipeline

Create a comprehensive Python automation script that handles end-to-end machine learning model deployment, including automated retraining, version management, and performance monitoring. Develop a system that can automatically detect model performance degradation, trigger retraining processes, perform A/B testing between model versions, and seamlessly roll out updated models with zero downtime. Integrate with MLflow for experiment tracking and include comprehensive logging and alerting mechanisms.