feat: Implement AI Analytics Engine Skeletion - REST API with Flask

- Added API blueprint for AI Analytics Engine with endpoints for analysis, health check, and configuration.
- Created clients for interacting with SIMAP and InfluxDB services.
- Implemented decision client for sending analysis results.
- Developed configuration module to manage environment settings.
- Established main orchestrator for initializing and running the Flask application.
- Added tests for API endpoints to ensure functionality and validate responses.
- Included deployment script for building and running the AI Analytics Engine in Docker.