config-cli-gui 0.1.10

Feature-rich Python project template for config-cli-gui.

Welcome to config-cli-gui

Unified Configuration and Interface Management

Provides a generic configuration framework that automatically generates both command-line interfaces and GUI settings dialogs from configuration parameters.

config-cli-gui is a Python library designed to streamline the management of application configurations, generating command-line interfaces (CLIs), and dynamically creating graphical user interface (GUI) settings dialogs from a single source of truth. It leverages Pydantic for robust parameter definition and offers powerful features for consistent configuration across different application entry points.

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🚀 Installation

You can install config-cli-gui using pip:

pip install config-cli-gui

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✨ Features

• Single Source of Truth: Define all your application parameters in one place using simple, dataclass-like structures based on Pydantic's BaseModel. This ensures consistency and reduces errors across your application.
• Categorized Configuration: Organize your parameters into logical categories (e.g., cli, app, gui) for better structure and maintainability.
• Dynamic CLI Generation: Automatically generate argparse-compatible command-line arguments directly from your defined configuration parameters, including help texts, types, and choices.
• Config File Management: Easily load and save configurations from/to YAML or JSON files, allowing users to customize default settings.
• GUI Settings Dialogs: Dynamically create Tkinter-based settings dialogs for your application, allowing users to intuitively modify configuration parameters via a graphical interface.
• Documentation Generation: Generate detailed Markdown documentation for both your CLI options and all configuration parameters, keeping your user guides always up-to-date with your codebase.
• Override System: Supports robust overriding of configuration values via configuration files and command-line arguments, with clear precedence.

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📚 Usage

1. Define Your Configuration

Start by defining your application's configuration parameters in a central config.py file within your project. You will inherit from config-cli-gui's GenericConfigManager and BaseConfigCategory.

# my_project/config_example.py

from config_cli_gui.config import (
    ConfigCategory,
    ConfigManager,
    ConfigParameter,
)


class CliConfig(ConfigCategory):
    """CLI-specific configuration parameters."""

    def get_category_name(self) -> str:
        return "cli"

    # Positional argument
    input: ConfigParameter = ConfigParameter(
        name="input",
        default="",
        help="Path to input (file or folder)",
        required=True,
        is_cli=True,
    )

    min_dist: ConfigParameter = ConfigParameter(
        name="min_dist",
        default=20,
        help="Maximum distance between two waypoints",
        is_cli=True,
    )

    extract_waypoints: ConfigParameter = ConfigParameter(
        name="extract_waypoints",
        default=True,
        help="Extract starting points of each track as waypoint",
        is_cli=True,
    )


class AppConfig(ConfigCategory):
    """Application-specific configuration parameters."""

    def get_category_name(self) -> str:
        return "app"

    log_level: ConfigParameter = ConfigParameter(
        name="log_level",
        default="INFO",
        choices=["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"],
        help="Logging level for the application",
    )

    log_file_max_size: ConfigParameter = ConfigParameter(
        name="log_file_max_size",
        default=10,
        help="Maximum log file size in MB before rotation",
    )


class ProjectConfigManager(ConfigManager):  # Inherit from ConfigManager
    """Main configuration manager that handles all parameter categories."""

    categories = (CliConfig(), AppConfig())

    def __init__(self, config_file: str | None = None, **kwargs):
        """Initialize the configuration manager with all parameter categories."""
        super().__init__(self.categories, config_file, **kwargs)

2. Generate CLI

Use the generic CLI functions to parse command-line arguments based on your defined CliConfig.

# my_project/cli_example.py
from config_cli_gui.cli import CliGenerator
from config_cli_gui.config import ConfigManager
from tests.example_project.config.config_example import ProjectConfigManager
from tests.example_project.core.base import BaseGPXProcessor
from tests.example_project.core.logging import initialize_logging


def run_main_processing(_config: ConfigManager) -> int:
    """Main processing function that gets called by the CLI generator.

    Args:
        _config: Configuration manager with all settings

    Returns:
        Exit code (0 for success, non-zero for error)
    """
    # Initialize logging system
    logger_manager = initialize_logging(_config)
    logger = logger_manager.get_logger("config_cli_gui.cli")

    try:
        # Log startup information
        logger.info("Starting config_cli_gui CLI")
        logger_manager.log_config_summary()

        logger.info(f"Processing input")

        # Create and run BaseGPXProcessor
        processor = BaseGPXProcessor(
            _config.get_category("cli").input.default,
            _config.get_category("cli").output.default,
            _config.get_category("cli").min_dist.default,
            _config.get_category("app").date_format.default,
            _config.get_category("cli").elevation.default,
            logger=logger,
        )

        logger.info("Starting conversion process")

        # Run the processing (adjust method name based on your actual implementation)
        result_files = processor.compress_files()
        logger.info(f"Successfully processed {result_files}")
        return 0

    except Exception as e:
        logger.error(f"Processing failed: {e}")
        logger.debug("Full traceback:", exc_info=True)
        return 1


def main():
    """Main entry point for the CLI application."""
    # Create the base configuration manager
    config_manager = ProjectConfigManager()

    # Create CLI generator
    cli_generator = CliGenerator(config_manager=config_manager, app_name="config_cli_gui")

    # Run the CLI with our main processing function
    return cli_generator.run_cli(
        main_function=run_main_processing,
        description="Example CLI for config-cli-gui using the generic config framework.",
    )


if __name__ == "__main__":
    import sys

    sys.exit(main())

3. Integrate GUI Settings Dialog

The SettingsDialog from config-cli-gui (or your project's adapted version) can be used to easily create a settings window.

# my_project/gui_example.py (Simplified example)
import tkinter as tk
from tests.example_project.config.config_example import ProjectConfigManager
from config_cli_gui.gui import GenericSettingsDialog  # Assuming gui_settings is part of the generic lib or adapted


def open_settings_window(parent_root, config_manager: ProjectConfigManager):
    dialog = GenericSettingsDialog(parent_root, config_manager)
    parent_root.wait_window(dialog.dialog)
    # After dialog closes, config_manager will have updated values if 'OK' was clicked
    print("Settings updated or cancelled.")
    print(f"New GUI Theme: {config_manager.get_category('gui').theme.default}")


if __name__ == "__main__":
    root = tk.Tk()
    root.withdraw()  # Hide main window for this example

    # Initialize your project's config manager
    project_config = ProjectConfigManager()

    open_settings_window(root, project_config)

    root.destroy()

4. Generate Documentation and Default Config

Use the static methods on your ProjectConfigManager to generate config.yaml, cli.md, and config.md files.

# scripts/generate_docs.py (or similar script in your project)
from tests.example_project.config.config_example import ProjectConfigManager
from config_cli_gui.docs import DocumentationGenerator
import os

# Define output paths
output_dir = "docs/generated"
os.makedirs(output_dir, exist_ok=True)

default_config = "config.yaml"  # At the project root or similar
default_cli_doc = os.path.join(output_dir, "cli.md")
default_config_doc = os.path.join(output_dir, "config.md")
_config = ProjectConfigManager()
doc_gen = DocumentationGenerator(_config)
doc_gen.generate_default_config_file(output_file=default_config)
print(f"Generated: {default_config}")

doc_gen.generate_config_markdown_doc(output_file=default_config_doc)
print(f"Generated: {default_config_doc}")

doc_gen.generate_cli_markdown_doc(output_file=default_cli_doc)
print(f"Generated: {default_cli_doc}")

print("Documentation and default config generation complete.")

By following this structure, config-cli-gui provides a robust and maintainable foundation for your application's configuration needs.