Вложенный словарь kdrama_info

Пожалуйста, помогите разобраться с задачей, битый час сижу с этой последней таской, завтра сдача


You have a nested dictionary kdrama_info, which contains information about popular Korean TV series. The keys in this dictionary are the titles of the series in Korean (RR). The values are other dictionaries with the following keys:

name - series’ name in Russian
genre - TV series’ genre
age restrictions - the youngest age at which you are allowed to watch this series
year - the year of the series’ release
actors - the list of actors
rating - the series’ rating on Kinopoisk
review - series’ description
Remember that we will change the content of the dictionary kdrama_info while checking your solution!

Your task is to write a function get_info that accepts as input:

nested dictionary kdrama_info
at least 1 (one) genre
information about the series that you need to get (use named parameter info: set the default value to "korean name;review"; the parameter value is a string where the information is separated by semicolon (without space), for example, info='genre;year;rating')
The function should return:

pandas DataFrame containing information about series that have the requested genres
Take into account:

The first column of the table should always be genre (the content of the key genre). The second column - the title of the series in Russian (the content of the key name). The remaining columns are the requested information.
The column names must match the dictionary keys.
If the user asks for the information about the series’ Korean title (пользователь передаст в параметр info значение "korean name"), then name the column as "korean name".
If there are no series in the dictionary that satisfy the request, the function should return the phrase "По Вашему запросу ничего не найдено"
There should be no duplicate columns in the table (например, если пользователь передал в параметр info значение name, то Ваша функция должна справиться с этим и не добавлять в таблицу второй столбец name)
Sort the dataframe by the "name" column in ascending order (это важно)
Reset the indexes

Example:

get_info(kdrama_info, 'комедия')
По Вашему запросу ничего не найдено

get_info(kdrama_info, 'драма', 'мелодрама')
*выводится датафрейм с сериалами подходящими по жанрам*

get_info(kdrama_info, 'триллер', 'ужасы', 'комедия', info='genre;year;rating')
*выводится датафрейм с сериалами подходящими по жанрам и нужными колонками*

Column Types:

name object
genre object
age restrictions int64
year int64
actors object
rating float64
review object

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