unwind/tests/test_imdb.py

import bz2
import json
from pathlib import Path
from unittest.mock import AsyncMock

import bs4
import pytest

from unwind import imdb
from unwind.imdb import imdb_rating_from_score, score_from_imdb_rating

testsdir = Path(__file__).parent
fixturesdir = testsdir / "fixtures"


@pytest.mark.parametrize("rating", (x / 10 for x in range(10, 101)))
def test_rating_conversion(rating: float):
    assert rating == imdb_rating_from_score(score_from_imdb_rating(rating))


@pytest.mark.parametrize("score", range(0, 101))
def test_score_conversion(score: int):
    # Because our score covers 101 discrete values and IMDb's rating only 91
    # discrete values, the mapping is non-injective, i.e. 10 values can't be
    # mapped uniquely.
    non_injective = set(range(5, 100, 10))
    if score in non_injective:
        pytest.skip(f"Score cannot be mapped back correctly: {score}")

    assert score == score_from_imdb_rating(imdb_rating_from_score(score))


@pytest.mark.asyncio
async def test_load_most_popular_100(monkeypatch):
    with bz2.open(fixturesdir / "most_popular_100.html.bz2", "rb") as f:
        html = f.read()
    soup = bs4.BeautifulSoup(html, "html5lib")

    monkeypatch.setattr(imdb, "asoup_from_url", AsyncMock(return_value=soup))

    movie_ids = await imdb.load_most_popular_100()
    assert len(movie_ids) == 100
    assert all(id_.startswith("tt") for id_ in movie_ids)


@pytest.mark.asyncio
async def test_load_bottom_100(monkeypatch):
    with bz2.open(fixturesdir / "bottom_100.html.bz2", "rb") as f:
        html = f.read()
    soup = bs4.BeautifulSoup(html, "html5lib")

    monkeypatch.setattr(imdb, "asoup_from_url", AsyncMock(return_value=soup))

    movie_ids = await imdb.load_bottom_100()
    assert len(movie_ids) == 100
    assert all(id_.startswith("tt") for id_ in movie_ids)


@pytest.mark.asyncio
async def test_load_top_250(monkeypatch):
    with bz2.open(fixturesdir / "top250.gql.json.bz2", "rb") as f:
        jsonstr = f.read()

    monkeypatch.setattr(imdb, "adownload", AsyncMock(return_value=jsonstr))

    movie_ids = await imdb.load_top_250()
    assert len(movie_ids) == 250
    assert all(id_.startswith("tt") for id_ in movie_ids)


@pytest.mark.asyncio
async def test_load_ratings_page(monkeypatch):
    with bz2.open(fixturesdir / "ratings-ur655321.html.bz2", "rb") as f:
        html = f.read()
    soup = bs4.BeautifulSoup(html, "html5lib")

    monkeypatch.setattr(imdb, "asoup_from_url", AsyncMock(return_value=soup))

    page = await imdb._load_ratings_page("fakeurl", "ur655321")
    assert len(page.ratings) == 100
    assert page.imdb_user_id is not None
    assert page.imdb_user_id == "ur655321"
    assert page.imdb_user_name == "AlexUltra"
    assert page.next_page_url is not None
    assert page.next_page_url.startswith("/user/ur655321/ratings?")


def _mock_response(content: bytes):
    class MockResponse:
        def raise_for_status(self):
            pass

        def json(self):
            return json.loads(content)

    return MockResponse()


@pytest.mark.asyncio
async def test_load_ratings_page_20240510(monkeypatch):
    with bz2.open(fixturesdir / "ratings-ur655321-20240510.html.bz2", "rb") as f:
        html = f.read()
    soup = bs4.BeautifulSoup(html, "html5lib")
    monkeypatch.setattr(imdb, "asoup_from_url", AsyncMock(return_value=soup))

    with bz2.open(fixturesdir / "ratings-ur655321-20240510.gql.json.bz2", "rb") as f:
        jsonstr = f.read()
    async with imdb.asession() as s:
        monkeypatch.setattr(s, "post", AsyncMock(return_value=_mock_response(jsonstr)))
        page = await imdb._load_ratings_page("fakeurl", "ur655321")
    assert len(page.ratings) == 100
    assert page.imdb_user_id is not None
    assert page.imdb_user_id == "ur655321"
    assert page.imdb_user_name == "AlexUltra"
    assert page.next_page_url is None, "not supported for new ratings page"

    def movie(item: dict):
        for rating in page.ratings:
            assert rating.movie
            if rating.movie.imdb_id == item["imdb_id"]:
                rating_dict = {key: getattr(rating.movie, key) for key in item.keys()}
                return rating_dict
        raise AssertionError()

    a_movie = {
        "title": "Kung Fu Panda 4",
        "release_year": 2024,
        "media_type": "Movie",
        "imdb_id": "tt21692408",
        "imdb_score": 59,
        "imdb_votes": 36000,
        "runtime": 94,
    }
    assert a_movie == movie(a_movie)

    a_running_tvseries = {
        "title": "Palm Royale",
        "release_year": 2024,
        "media_type": "TV Series",
        "imdb_id": "tt8888540",
        "imdb_score": 64,
        "imdb_votes": 6000,
    }
    assert a_running_tvseries == movie(a_running_tvseries)

    a_finished_tvseries = {
        "title": "Fawlty Towers",
        "release_year": 1975,
        "media_type": "TV Series",
        "imdb_id": "tt0072500",
        "imdb_score": 87,
        "imdb_votes": 100000,
    }
    assert a_finished_tvseries == movie(a_finished_tvseries)

    a_tvepisode = {
        "title": "Columbo / No Time to Die",
        "original_title": None,
        "release_year": 1992,
        "media_type": "TV Episode",
        "imdb_id": "tt0103987",
        "imdb_score": 59,
        "imdb_votes": 2100,
        "runtime": 98,
    }
    assert a_tvepisode == movie(a_tvepisode)

    a_videogame = {
        "title": "Alan Wake",
        "original_title": None,
        "release_year": 2010,
        "media_type": "Video Game",
        "imdb_id": "tt0466662",
        "imdb_score": 82,
        "imdb_votes": 7300,
    }
    assert a_videogame == movie(a_videogame)