Files
simulated-examination/q2_1.py
2026-06-23 11:17:14 +08:00

36 lines
1.2 KiB
Python

import requests
from bs4 import BeautifulSoup as bs
import json
headers = {
"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64)"
"AppleWebKit/537.36 (KHTML, like Gecko)"
"Chrome/129.0.0.0 Safari/537.36"
}
url = "https://exam.detr.top/exam-b/movies"
data = []
resp = requests.get(url, headers=headers)
resp.encoding = 'utf-8'
html_content = resp.text
with open("movies.html", "w", encoding="utf-8") as f:
f.write(html_content)
soup = bs(html_content, "html.parser")
movies = []
table = soup.find("table")
rows = table.find_all("tr")[1:]
for row in rows:
cols = row.find_all("td")
movie = {
"id": int(cols[0].text.strip()),
"title": cols[1].text.strip(),
"director": cols[2].text.strip(),
"year": int(cols[3].text.strip()),
"rating": float(cols[4].text.strip()),
"duration": int(cols[5].text.strip()),
"genre": cols[6].text.strip(),
"actors_count": int(cols[7].text.strip())
}
movies.append(movie)
with open("movies.json", "w", encoding="utf-8") as f:
json.dump({"data_id": 1, "movies": movies}, f, ensure_ascii=False, indent=4)
#数据标注要下载pip install label-studio
# 第二步打开 label-studio start