To better organize the given script into modular components, separate files where needed, and make it fully performant and maintainable, I would recommend the following structure:
main.py: This file will include the main entry point, command-line functionality using Click, and import functions from other modules.
logger.py: This file will include the logging setup and related functions.
setup_logger()
query_handler.py: This file will contain the class and related functions for handling file events and executing queries.
class QueryHandler(FileSystemEventHandler)
handle_query(query, file_path)
file_utils.py: This file will include all file-related utility functions.
# main.py
import click
import os
from logger import setup_logger
from query_handler import handle_query
from directory_watcher import watch_directory
from file_utils import get_active_file, get_model_paths
@click.group()
def main():
pass
@main.command()
# ... (the remaining Click commands as you provided)
if __name__ == "__main__":
main()
This modular approach will make the code more maintainable, as each module focuses on a specific functionality. Additionally, it allows for easier testing and optimization of individual components, leading to improved performance.
To better organize the given script into modular components, separate files where needed, and make it fully performant and maintainable, I would recommend the following structure:
main.py
: This file will include the main entry point, command-line functionality using Click, and import functions from other modules.logger.py
: This file will include the logging setup and related functions.setup_logger()
query_handler.py
: This file will contain the class and related functions for handling file events and executing queries.class QueryHandler(FileSystemEventHandler)
handle_query(query, file_path)
file_utils.py
: This file will include all file-related utility functions.get_active_file(file_path: str)
find_compiled_sql_file(file_path)
get_model_name_from_file(file_path: str)
generate_test_yaml(model_name, column_names, active_file_path)
get_model_paths()
db_utils.py
: This file will include all database-related utility functions.execute_query(query: str, db_file: str)
get_duckdb_file_path()
get_project_name()
directory_watcher.py
: This file will include functions related to watching the directory for changes.watch_directory(directory: str, callback, active_file_path: str)
This modular approach will make the code more maintainable, as each module focuses on a specific functionality. Additionally, it allows for easier testing and optimization of individual components, leading to improved performance.