format

            allowed_invocations_per_second = 0

            time_range_days = 0

        res = mycol.find_one(

            {"service_id": service_id, "aef_id": aef_id}, {"_id": 0})

def get_nested_value(config, path):

    """

    Obtiene un valor dentro de un diccionario anidado siguiendo una ruta de claves separadas por puntos.

    Gets a value within a nested dictionary by following a path of keys separated by periods.

    """

    keys = path.split('.')

    for key in keys:

def convert_value_to_original_type(new_value, current_value):

    """

    Convierte new_value al tipo de current_value si es posible.

    Convert new_value to the type of current_value.

    """

    if isinstance(current_value, int):

        try:

            return int(new_value)

        except ValueError:

            return jsonify(message=f"Valor inválido: {new_value} no es un entero"), 400

            return jsonify(message=f"Invalid value: {new_value} is not an integer"), 400

    elif isinstance(current_value, float):

        try:

            return float(new_value)

        except ValueError:

            return jsonify(message=f"Valor inválido: {new_value} no es un flotante"), 400

            return jsonify(message=f"Invalid value: {new_value} is not a float"), 400

    elif isinstance(current_value, bool):

        if isinstance(new_value, str) and new_value.lower() in ["true", "false"]:

            return new_value.lower() == "true"

        elif not isinstance(new_value, bool):

            return jsonify(message=f"Valor inválido: {new_value} no es un booleano"), 400

            return jsonify(message=f"Invalid value: {new_value} is not a boolean"), 400

    return new_value

def convert_nested_values(new_data, reference_data):

    """

    Recorre recursivamente new_data y convierte los valores al tipo original basado en reference_data.

    Recursively traverses new_data and converts values ​​back to the original type based on reference_data.

    """

    if isinstance(new_data, dict) and isinstance(reference_data, dict):

        for key, value in new_data.items():