# dependencyanalyzer/__main__.py
import tkinter as tk
from dependencyanalyzer.gui import (
    DependencyAnalyzerApp,
)  # Relative import from gui.py within the same package
from dependencyanalyzer.core import (
    logging,
)  # Import logging from core to ensure its configuration is used


def main():
    """
    Main function to launch the Dependency Analyzer application.
    """
    # Ensure core logger is configured if not already by an import in gui
    # (though it should be via the gui.py -> core.py import chain)
    if not logging.getLogger().hasHandlers():  # Check if root logger has handlers
        logging.basicConfig(
            level=core.logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s"
        )
        logging.info("Root logger reconfigured from __main__ for safety.")

    root = tk.Tk()
    # Set a minimum size for the window for better usability
    root.minsize(width=750, height=600)
    app = DependencyAnalyzerApp(master=root)
    app.mainloop()


if __name__ == "__main__":
    # This allows running the script directly using `python __main__.py`
    # when inside the `dependency_analyzer` directory, primarily for development/testing.
    # The typical execution for users will be `python -m dependency_analyzer`.
    main()