- Removed the MetricsManager initialization from `run_helper.py` to avoid duplication, as metrics are now handled in `main.py`.
- Updated logging levels in `server_prometheus.py` and `metrics_middleware.py` to use debug instead of info for less critical messages.
- Added metrics configuration to `BaseDependencyFactory` for better management of metrics settings.
- Deleted the obsolete `metrics_exporter.py` file to streamline the codebase.
- Updated various tests to reflect changes in the metrics handling and ensure proper functionality.
- Updated `.dockerignore` to include additional development and temporary files, enhancing build efficiency.
- Modified `.gitignore` to remove unnecessary entries and streamline ignored files.
- Enhanced `docker-compose.yml` with health checks, resource limits, and improved environment variable handling for better service management.
- Refactored `Dockerfile.bot` to utilize a multi-stage build for optimized image size and security.
- Improved `Makefile` with new commands for deployment, migration, and backup, along with enhanced help documentation.
- Updated `requirements.txt` to include new dependencies for environment variable management.
- Refactored metrics handling in the bot to ensure proper initialization and collection.
- Introduced `DependenciesMiddleware` and `BlacklistMiddleware` for enhanced request handling across all routers.
- Refactored admin handlers to utilize new middleware, improving access control and error handling.
- Updated the `admin_router` to include middleware for access checks and streamlined the process of banning users.
- Enhanced the structure of admin handler imports for better organization and maintainability.
- Improved error handling in various admin functions to ensure robust user interactions.
- Introduced a new `PrivateHandlers` class to encapsulate private message handling logic, improving organization and maintainability.
- Added new dependencies in `requirements.txt` for database support with `aiosqlite`.
- Updated the private handlers to utilize modular components for better separation of concerns and easier testing.
- Implemented error handling and logging for improved robustness in message processing.
