import json
from collections import defaultdict

# 读取json文件
with open("movies.json", "r", encoding="utf-8") as f:
    movies = json.load(f)

# ① 找出评分最高、最低电影
def get_rating_extreme():
    # 按rating排序
    sorted_movies = sorted(movies, key=lambda x: x["rating"])
    lowest = sorted_movies[0]
    highest = sorted_movies[-1]
    print("=== ① 评分极值 ===")
    print(f"评分最低电影：{lowest['title']}，评分：{lowest['rating']}")
    print(f"评分最高电影：{highest['title']}，评分：{highest['rating']}")
    return highest, lowest

# ② 统计各类型电影数量（genre为列表，拆分统计）
def count_genre():
    genre_count = defaultdict(int)
    for movie in movies:
        genres = movie["genre"]
        for g in genres:
            genre_count[g] += 1
    print("\n=== ② 各类型电影数量（字典格式）===")
    print(dict(genre_count))
    return dict(genre_count)

# ③ 统计各导演电影数量
def count_director():
    dir_count = defaultdict(int)
    for movie in movies:
        d = movie["director"]
        dir_count[d] += 1
    print("\n=== ③ 各导演电影数量（字典格式）===")
    print(dict(dir_count))
    return dict(dir_count)

# ④ 统计2020年（含）以后上映电影数量
def count_after_2020():
    cnt = 0
    for movie in movies:
        if movie["year"] >= 2020:
            cnt += 1
    print("\n=== ④ 2020年（含）后上映电影数量 ===")
    print(f"总数：{cnt}")
    return cnt

# 执行全部分析逻辑
if __name__ == "__main__":
    get_rating_extreme()
    count_genre()
    count_director()
    count_after_2020()