Add logger configuration and support for command-line arguments

[shima004]

This pull request introduces configurable logging to the ADF Python framework. It allows users to specify the logger's file name and log levels via both configuration files and command-line arguments, improving flexibility and observability. The default logger settings are now loaded from config/launcher.yaml or can be overridden at launch.

Logger configuration enhancements:

• Added logger configuration options (file_name, file_level, stream_level) to config/launcher.yaml for centralized and customizable logging setup.
• Introduced new configuration keys in ConfigKey for logger-related settings, enabling easy retrieval and management of logger configuration values.
• Updated the configure_logger function to accept parameters for log file name and log levels, and to apply these settings to both file and stream handlers. [1] [2]

Launcher and CLI improvements:

• Extended the launcher CLI to accept --logger-file-name, --logger-file-level, and --logger-stream-level arguments, allowing users to override logger settings at runtime.
• Modified the launcher initialization to pass the appropriate logger configuration (from CLI arguments or config file) to configure_logger, ensuring logger setup reflects user preferences.

Project versioning:

• Bumped the project version to 0.2.8 in pyproject.toml to reflect these enhancements.