92 lines
3.3 KiB
Python
92 lines
3.3 KiB
Python
import requests
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import json
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from bs4 import BeautifulSoup
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# 题目强制要求请求头
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url = "https://exam.detr.top/exam-b/movies"
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headers = {
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"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
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}
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# 仅一次请求，符合题目要求
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resp = requests.get(url, headers=headers)
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resp.encoding = "utf-8"
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html_text = resp.text
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# 保存原始网页 movies.html
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with open("movies.html", "w", encoding="utf-8") as f:
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f.write(html_text)
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print("✅ 已保存网页源码 movies.html")
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# 解析表格页面
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soup = BeautifulSoup(html_text, "html.parser")
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# 提取页面data_id（页面顶部/body标签，没有则留空）
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data_id = None
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if soup.body and "data-id" in soup.body.attrs:
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data_id = soup.body["data-id"]
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print(f"页面data_id: {data_id}")
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# 提取表格所有数据行 <tr>，跳过表头第一行
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all_tr = soup.find_all("tr")
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movie_list = []
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# 表头是第0行，电影从第1行开始遍历
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for tr in all_tr[1:]:
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td_list = tr.find_all("td")
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# 表格列顺序：id、title、director、year、rating、duration、genre、actors_count
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if len(td_list) >= 8:
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movie = {
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"id": int(td_list[0].get_text(strip=True)),
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"title": td_list[1].get_text(strip=True),
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"director": td_list[2].get_text(strip=True),
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"year": int(td_list[3].get_text(strip=True)),
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"rating": float(td_list[4].get_text(strip=True)),
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"duration": int(td_list[5].get_text(strip=True)),
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"genre": td_list[6].get_text(strip=True),
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"actors_count": int(td_list[7].get_text(strip=True))
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}
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movie_list.append(movie)
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print(f"一共抓取到 {len(movie_list)} 部电影")
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# 组装并保存 movies.json
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save_data = {
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"data_id": data_id,
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"movies": movie_list
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}
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with open("movies.json", "w", encoding="utf-8") as f:
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json.dump(save_data, f, ensure_ascii=False, indent=2)
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print("✅ movies.json 写入完成")
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# ====================== 第2题数据分析（防止空列表报错） ======================
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if len(movie_list) == 0:
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print("❌ 未抓取到任何电影数据，请检查表格解析逻辑！")
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else:
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# ① 找出评分最高、最低电影
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sorted_movies = sorted(movie_list, key=lambda x: x["rating"])
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lowest_movie = sorted_movies[0]
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highest_movie = sorted_movies[-1]
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print("\n① 评分最高&最低电影：")
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print(f"评分最低：{lowest_movie['title']} {lowest_movie['rating']}")
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print(f"评分最高：{highest_movie['title']} {highest_movie['rating']}")
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# ② 统计各类型电影数量（字典输出）
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genre_count = {}
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for m in movie_list:
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g = m["genre"]
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genre_count[g] = genre_count.get(g, 0) + 1
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print("\n② 各类型电影数量：", genre_count)
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# ③ 统计各导演电影数量（字典输出）
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director_count = {}
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for m in movie_list:
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d = m["director"]
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director_count[d] = director_count.get(d, 0) + 1
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print("\n③ 各导演电影数量：", director_count)
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# ④ 统计2020年（含）以后上映电影
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count_2020 = 0
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for m in movie_list:
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if m["year"] >= 2020:
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count_2020 += 1
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print(f"\n④ 2020年(含)后上映电影总数：{count_2020}") |