The query_debugger function is a Python decorator used for debugging and profiling database queries in a Django application.

get_query_and_query_number.py

def query_debugger(func):

    @functools.wraps(func)
    def inner_func(*args, **kwargs):

        reset_queries()

        start_queries = len(connection.queries)

        start = time.perf_counter()
        result = func(*args, **kwargs)
        end = time.perf_counter()
        logger.info(connection.queries[start_queries:])
        end_queries = len(connection.queries)
        logger.info("QUERIES")
        logger.info(f"Function : {func.__name__}")
        logger.info(f"Number of Queries : {end_queries - start_queries}")
        logger.info(f"Finished in : {(end - start):.2f}s")
        return result

    return inner_func

Purpose: This Python decorator is designed to assist in debugging and profiling database queries when working with a Django web application.

How it works: When applied to a function or method, it does the following:

Uses functools.wraps to preserve the original function's metadata.
Resets the list of recorded database queries using reset_queries().
Records the number of database queries executed before the decorated function is called.
Measures the time taken for the decorated function to execute.
Logs the database queries executed during the function's execution.
Logs information about the function's name, the number of new queries executed, and the time taken for execution.
Returns the result of the decorated function.
Usage: Apply this decorator to Django views or functions where you want to monitor and log database query activity.

Example Usage:

python

@query_debugger
def my_view(request):
    # Your Django code here

Output: When this decorator is applied to a function, it will log information about the queries executed within that function, helping developers identify and optimize database query performance.

Note: Ensure you have the necessary imports for functools, time, logger, reset_queries(), and connection.queries for this decorator to work correctly within a Django environment.