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Python/web_programming/get_imdbtop.py.DISABLED
priya-sundaram-devandpre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> bfa655ecea deps: migrate from httpx to httpx2 (pydantic's maintained fork) (#15192)
* deps: migrate from httpx to httpx2 (pydantic's maintained fork)

Mechanical rename of httpx -> httpx2 (API-compatible fork of httpx 0.28.1):
pyproject.toml deps, PEP 723 inline-script headers, and all import/call sites.
Excludes uv.lock (the keeper's allow-list rejects .lock files); the lock
refresh needs a separate maintainer-merged PR.

Refs #15081

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* deps: drop tweepy + migrate remaining requests refs to httpx2

- maths/allocation_number.py: docstring example uses httpx2, not requests
- web_programming/get_imdbtop.py.DISABLED: import httpx2 instead of requests
- remove web_programming/get_user_tweets.py.DISABLED (a Twitter API how-to,
  not an algorithm) and drop the tweepy dependency that was its only user and
  the last high-level dep pulling in requests
- uv.lock intentionally untouched (keeper allow-list)

Refs #15081

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2026-09-05 09:26:45 +02:00

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import bs4
import httpx2
def get_movie_data_from_soup(soup: bs4.element.ResultSet) -> dict[str, str]:
return {
"name": soup.h3.a.text,
"genre": soup.find("span", class_="genre").text.strip(),
"rating": soup.strong.text,
"page_link": f"https://www.imdb.com{soup.a.get('href')}",
}
def get_imdb_top_movies(num_movies: int = 5) -> tuple:
"""Get the top num_movies most highly rated movies from IMDB and
return a tuple of dicts describing each movie's name, genre, rating, and URL.
Args:
num_movies: The number of movies to get. Defaults to 5.
Returns:
A list of tuples containing information about the top n movies.
>>> len(get_imdb_top_movies(5))
5
>>> len(get_imdb_top_movies(-3))
0
>>> len(get_imdb_top_movies(4.99999))
4
"""
num_movies = int(float(num_movies))
if num_movies < 1:
return ()
base_url = (
"https://www.imdb.com/search/title?title_type="
f"feature&sort=num_votes,desc&count={num_movies}"
)
source = bs4.BeautifulSoup(httpx2.get(base_url).content, "html.parser")
return tuple(
get_movie_data_from_soup(movie)
for movie in source.find_all("div", class_="lister-item mode-advanced")
)
if __name__ == "__main__":
import json
num_movies = int(input("How many movies would you like to see? "))
print(
", ".join(
json.dumps(movie, indent=4) for movie in get_imdb_top_movies(num_movies)
)
)