In utils/actions.py

Write a function, update_review(user:str, movie: str, review: str, users: dict), that updates a user's review for a given movie. If the movie or user doesn't exist, do nothing. Example:

>>> update_review("Alice", "Inception", "Amazing concept!", users)
>>> print(users["Alice"]["Inception"])
{'rating': 9, 'review': 'Amazing concept!'}

In utils/insights.py

Write a function, get_user_average_rating(user: str, users: dict), that returns the average rating a user has given. If the user has no ratings, return None. Example:

>>> get_user_average_rating("Alice", users)
8.0

In utils/insights.py

Write a function, {get_most_rated_movies(users: dict)}, that returns a list of movies sorted by how many users have rated them (most to least). Example:

>>> get_most_rated_movies(users)
[('Inception', 2), ('Titanic', 1), ('Interstellar', 1)]

In utils/insights.py

Write a function, get_top_rated_movies(users: dict, min_ratings: int), that returns a list of movies sorted from the highest average ratings to lowest average ratings, but only include those with at least min_ratings users. Example:

>>> get_top_rated_movies(users, min_ratings=2)
[(8.5, 'Inception')]
>>> get_top_rated_movies(users, min_ratings=1)
[(10.0, 'Interstellar'), (8.5, 'Inception'), (7.0, 'Titanic')]

In utils/insights.py

Write a function, get_similarity(user1: str, user2: str, users: dict), that returns a similarity score between two users based on ratings of common movies. Use the sum of absolute differences in rating (lower score = more similar). If no common movies, return None. Example:

>>> get_similarity("Alice", "Charlie", users)
3 # |9-10| + |7-6| + |8-7| = 1+1+1 = 3

In utils/insights.py

Write a function, suggest_movie(user: str, users: dict) that suggests a movie to a user based on what similar users have rated highly, which the current user hasn't rated. Use the user with the lowest similarity score. Example:

>>> suggest_movie("Alice", users)
"Interstellar"
>>> suggest_movie("Bob", users)
"The Matrix"

In utils/insights.py

Write a function, get_most_active_user(users: dict), that returns the name of the user who has rated the most movies. Example:

>>> get_most_active_user(users)
'Bob'

In main.py

Write a function, {generate_summary_report(users: dict)}, that prints a full report of the movie system, including:

Example:

>>> generate_summary_report(users)

Movie Watchlist & Review System Summary
==================================================
Most active user: Bob

Average Rating Per User:
- Alice: 8.00
- Bob: 9.00

Most Rated Movies:
- Inception: 2 ratings
- Interstellar: 1 rating

Top Rated Movies (min 2 ratings):
- Inception: 8.50 average rating

Recommendations:
- Alice: Interstellar
- Bob: No suggestions at the moment.