mirror of
https://github.com/meisnate12/Plex-Meta-Manager
synced 2024-11-22 04:23:08 +00:00
667 lines
34 KiB
Python
667 lines
34 KiB
Python
import csv, gzip, json, math, os, re, shutil
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from modules import util
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from modules.util import Failed
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logger = util.logger
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builders = ["imdb_list", "imdb_id", "imdb_chart", "imdb_watchlist", "imdb_search", "imdb_award"]
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movie_charts = [
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"box_office", "popular_movies", "top_movies", "top_english", "lowest_rated",
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"top_indian", "top_tamil", "top_telugu", "top_malayalam", "trending_india", "trending_tamil", "trending_telugu"
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]
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show_charts = ["popular_shows", "top_shows", "trending_india"]
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charts = {
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"box_office": "Box Office",
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"popular_movies": "Most Popular Movies",
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"popular_shows": "Most Popular TV Shows",
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"top_movies": "Top 250 Movies",
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"top_shows": "Top 250 TV Shows",
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"top_english": "Top Rated English Movies",
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"lowest_rated": "Lowest Rated Movies",
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"top_tamil": "Top Rated Tamil Movies",
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"top_telugu": "Top Rated Telugu Movies",
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"top_malayalam": "Top Rated Malayalam Movies",
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"trending_india": "Trending Indian Movies & Shows",
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"trending_tamil": "Trending Tamil Movies",
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"trending_telugu": "Trending Telugu Movies",
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"top_indian": "Top Rated Indian Movies",
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}
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chart_urls = {
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"box_office": "chart/boxoffice",
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"popular_movies": "chart/moviemeter",
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"popular_shows": "chart/tvmeter",
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"top_movies": "chart/top",
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"top_shows": "chart/toptv",
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"top_english": "chart/top-english-movies",
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"lowest_rated": "chart/bottom",
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"top_indian": "india/top-rated-indian-movies",
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"top_tamil": "india/top-rated-tamil-movies",
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"top_telugu": "india/top-rated-telugu-movies",
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"top_malayalam": "india/top-rated-malayalam-movies",
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"trending_india": "india/upcoming",
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"trending_tamil": "india/tamil",
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"trending_telugu": "india/telugu",
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}
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imdb_search_attributes = [
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"limit",
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"sort_by",
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"title",
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"type", "type.not",
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"release.after", "release.before", "rating.gte", "rating.lte",
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"votes.gte", "votes.lte",
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"genre", "genre.any", "genre.not",
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"topic", "topic.any", "topic.not",
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"alternate_version", "alternate_version.any", "alternate_version.not",
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"crazy_credit", "crazy_credit.any", "crazy_credit.not",
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"location", "location.any", "location.not",
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"goof", "goof.any", "goof.not",
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"plot", "plot.any", "plot.not",
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"quote", "quote.any", "quote.not",
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"soundtrack", "soundtrack.any", "soundtrack.not",
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"trivia", "trivia.any", "trivia.not",
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"event", "event.winning",
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"imdb_top", "imdb_bottom",
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"company",
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"content_rating",
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"country", "country.any", "country.not", "country.origin",
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"keyword", "keyword.any", "keyword.not",
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"series", "series.not",
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"list", "list.any", "list.not",
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"language", "language.any", "language.not", "language.primary",
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"popularity.gte", "popularity.lte",
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"character",
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"cast", "cast.any", "cast.not",
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"runtime.gte", "runtime.lte",
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"adult",
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]
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sort_by_options = {
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"popularity": "POPULARITY",
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"title": "TITLE_REGIONAL",
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"rating": "USER_RATING",
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"votes": "USER_RATING_COUNT",
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"box_office": "BOX_OFFICE_GROSS_DOMESTIC",
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"runtime": "RUNTIME",
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"year": "YEAR",
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"release": "RELEASE_DATE",
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}
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sort_options = [f"{a}.{d}" for a in sort_by_options for d in ["asc", "desc"]]
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list_sort_by_options = {
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"custom": "LIST_ORDER",
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"popularity": "POPULARITY",
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"title": "TITLE_REGIONAL",
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"rating": "USER_RATING",
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"votes": "USER_RATING_COUNT",
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"runtime": "RUNTIME",
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"added": "DATE_ADDED",
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"release": "RELEASE_DATE",
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}
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list_sort_options = [f"{a}.{d}" for a in list_sort_by_options for d in ["asc", "desc"]]
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title_type_options = {
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"movie": "movie", "tv_series": "tvSeries", "short": "short", "tv_episode": "tvEpisode", "tv_mini_series": "tvMiniSeries",
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"tv_movie": "tvMovie", "tv_special": "tvSpecial", "tv_short": "tvShort", "video_game": "videoGame", "video": "video",
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"music_video": "musicVideo", "podcast_series": "podcastSeries", "podcast_episode": "podcastEpisode"
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}
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genre_options = {a.lower(): a for a in [
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"Action", "Adventure", "Animation", "Biography", "Comedy", "Documentary", "Drama", "Crime", "Family", "History",
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"News", "Short", "Western", "Sport", "Reality-TV", "Horror", "Fantasy", "Film-Noir", "Music", "Romance",
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"Talk-Show", "Thriller", "War", "Sci-Fi", "Musical", "Mystery", "Game-Show"
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]}
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topic_options = {
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"alternate_version": "ALTERNATE_VERSION",
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"award": "AWARD",
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"business_info": "BUSINESS_INFO",
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"crazy_credit": "CRAZY_CREDIT",
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"goof": "GOOF",
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"location": "LOCATION",
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"plot": "PLOT",
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"quote": "QUOTE",
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"soundtrack": "SOUNDTRACK",
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"technical": "TECHNICAL",
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"trivia": "TRIVIA",
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}
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company_options = {
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"fox": ["co0000756", "co0176225", "co0201557", "co0017497"],
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"dreamworks": ["co0067641", "co0040938", "co0252576", "co0003158"],
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"mgm": ["co0007143", "co0026841"],
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"paramount": ["co0023400"],
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"sony": ["co0050868", "co0026545", "co0121181"],
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"universal": ["co0005073", "co0055277", "co0042399"],
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"disney": ["co0008970", "co0017902", "co0098836", "co0059516", "co0092035", "co0049348"],
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"warner": ["co0002663", "co0005035", "co0863266", "co0072876", "co0080422", "co0046718"],
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}
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event_options = {
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"cannes": {"eventId": "ev0000147"},
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"choice": {"eventId": "ev0000133"},
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"spirit": {"eventId": "ev0000349"},
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"sundance": {"eventId": "ev0000631"},
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"bafta": {"eventId": "ev0000123"},
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"oscar": {"eventId": "ev0000003"},
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"emmy": {"eventId": "ev0000223"},
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"golden": {"eventId": "ev0000292"},
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"oscar_picture": {"eventId": "ev0000003", "searchAwardCategoryId": "bestPicture"},
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"oscar_director": {"eventId": "ev0000003", "searchAwardCategoryId": "bestDirector"},
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"national_film_board_preserved": {"eventId": "ev0000468"},
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"razzie": {"eventId": "ev0000558"},
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}
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base_url = "https://www.imdb.com"
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git_base = "https://raw.githubusercontent.com/Kometa-Team/IMDb-Awards/master"
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search_hash_url = "https://raw.githubusercontent.com/Kometa-Team/IMDb-Hash/master/HASH"
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list_hash_url = "https://raw.githubusercontent.com/Kometa-Team/IMDb-Hash/master/LIST_HASH"
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watchlist_hash_url = "https://raw.githubusercontent.com/Kometa-Team/IMDb-Hash/master/WATCHLIST_HASH"
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graphql_url = "https://api.graphql.imdb.com/"
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list_url = f"{base_url}/list/ls"
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class IMDb:
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def __init__(self, requests, cache, default_dir):
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self.requests = requests
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self.cache = cache
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self.default_dir = default_dir
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self._ratings = None
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self._genres = None
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self._episode_ratings = None
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self._events_validation = None
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self._events = {}
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self._search_hash = None
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self._list_hash = None
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self._watchlist_hash = None
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self.event_url_validation = {}
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def _request(self, url, language=None, xpath=None, params=None):
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logger.trace(f"URL: {url}")
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if params:
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logger.trace(f"Params: {params}")
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response = self.requests.get_html(url, params=params, header=True, language=language)
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return response.xpath(xpath) if xpath else response
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def _graph_request(self, json_data):
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return self.requests.post_json(graphql_url, headers={"content-type": "application/json"}, json=json_data)
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@property
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def search_hash(self):
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if self._search_hash is None:
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self._search_hash = self.requests.get(search_hash_url).text.strip()
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return self._search_hash
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@property
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def list_hash(self):
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if self._list_hash is None:
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self._list_hash = self.requests.get(list_hash_url).text.strip()
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return self._list_hash
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@property
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def watchlist_hash(self):
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if self._watchlist_hash is None:
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self._watchlist_hash = self.requests.get(watchlist_hash_url).text.strip()
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return self._watchlist_hash
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@property
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def events_validation(self):
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if self._events_validation is None:
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self._events_validation = self.requests.get_yaml(f"{git_base}/event_validation.yml").data
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return self._events_validation
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def get_event(self, event_id):
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if event_id not in self._events:
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self._events[event_id] = self.requests.get_yaml(f"{git_base}/events/{event_id}.yml").data
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return self._events[event_id]
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def validate_imdb(self, err_type, method, imdb_dicts):
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valid_lists = []
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main = "list_id" if method == "imdb_list" else "user_id"
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for imdb_dict in util.get_list(imdb_dicts, split=True if isinstance(imdb_dicts, str) else False):
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if not isinstance(imdb_dict, dict):
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imdb_dict = {main: imdb_dict}
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if "url" in imdb_dict and main not in imdb_dict:
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imdb_dict[main] = imdb_dict["url"]
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dict_methods = {dm.lower(): dm for dm in imdb_dict}
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if main not in dict_methods:
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raise Failed(f"{err_type} Error: {method} {main} attribute not found")
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elif imdb_dict[dict_methods[main]] is None:
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raise Failed(f"{err_type} Error: {method} {main} attribute is blank")
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else:
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main_data = imdb_dict[dict_methods[main]].strip()
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if method == "imdb_list":
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if main_data.startswith(f"{base_url}/search/"):
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raise Failed(f"IMDb Error: URLs with https://www.imdb.com/search/ no longer works with {method} use imdb_search.")
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if main_data.startswith(f"{base_url}/filmosearch/"):
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raise Failed(f"IMDb Error: URLs with https://www.imdb.com/filmosearch/ no longer works with {method} use imdb_search.")
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search = re.search(r"(ls\d+)", main_data)
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if not search:
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raise Failed(f"IMDb Error: {method} {main} must begin with ls (ex. ls005526372)")
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new_dict = {main: search.group(1)}
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else:
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user_id = None
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if main_data.startswith("ur"):
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try:
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user_id = int(main_data[2:])
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except ValueError:
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pass
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if not user_id:
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raise Failed(f"{err_type} Error: {method} {main}: {main_data} not in the format of 'ur########'")
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new_dict = {main: main_data}
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if "limit" in dict_methods:
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if imdb_dict[dict_methods["limit"]] is None:
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logger.warning(f"{err_type} Warning: {method} limit attribute is blank using 0 as default")
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else:
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try:
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value = int(str(imdb_dict[dict_methods["limit"]]))
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if 0 <= value:
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new_dict["limit"] = value
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except ValueError:
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pass
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if "limit" not in new_dict:
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logger.warning(f"{err_type} Warning: {method} limit attribute: {imdb_dict[dict_methods['limit']]} must be an integer 0 or greater using 0 as default")
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if "limit" not in new_dict:
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new_dict["limit"] = 0
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if "sort_by" in dict_methods:
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new_dict["sort_by"] = util.parse(err_type, "sort_by", imdb_dict, methods=dict_methods, parent=method, default="custom.asc", options=list_sort_options)
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valid_lists.append(new_dict)
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return valid_lists
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def get_event_years(self, event_id):
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if event_id in self.events_validation:
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return True, self.events_validation[event_id]["years"]
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if event_id not in self.event_url_validation:
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self.event_url_validation[event_id] = []
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for event_link in self._request(f"{base_url}/event/{event_id}", xpath="//div[@class='event-history-widget']//a/@href"):
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parts = event_link.split("/")
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self.event_url_validation[event_id].append(f"{parts[3]}{f'-{parts[4]}' if parts[4] != '1' else ''}")
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return False, self.event_url_validation[event_id]
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def get_award_names(self, event_id, event_year):
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if event_id in self.events_validation:
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return self.events_validation[event_id]["awards"], self.events_validation[event_id]["categories"]
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award_names = []
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category_names = []
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event_slug = f"{event_year[0]}/1" if "-" not in event_year[0] else event_year[0].replace("-", "/")
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for text in self._request(f"{base_url}/event/{event_id}/{event_slug}/?ref_=ev_eh", xpath="//div[@class='article']/script/text()")[0].split("\n"):
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if text.strip().startswith("IMDbReactWidgets.NomineesWidget.push"):
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jsonline = text.strip()
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obj = json.loads(jsonline[jsonline.find("{"):-3])
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for award in obj["nomineesWidgetModel"]["eventEditionSummary"]["awards"]:
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award_names.append(award["awardName"])
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for category in award["categories"]:
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category_names.append(category["categoryName"])
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break
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return award_names, category_names
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def _json_operation(self, list_type):
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if list_type == "search":
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return "AdvancedTitleSearch", self.search_hash
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elif list_type == "list":
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return "TitleListMainPage", self.list_hash
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else:
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return "WatchListPageRefiner", self.watchlist_hash
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def _graphql_json(self, data, list_type):
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page_limit = 250 if list_type == "search" else 100
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out = {
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"locale": "en-US",
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"first": data["limit"] if "limit" in data and 0 < data["limit"] < page_limit else page_limit,
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}
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def check_constraint(bases, mods, constraint, lower="", translation=None, range_name=None, obj_name=None):
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if not isinstance(bases, list):
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bases = [bases]
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if range_name and not isinstance(range_name, list):
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range_name = [range_name]
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for i, attr in enumerate(bases):
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attrs = [(f"{attr}.{m}" if m else attr, m, im) for m, im in mods]
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if any([m in data for m, _, _ in attrs]):
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if constraint not in out:
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out[constraint] = {}
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range_data = {}
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for full_attr, mod, imdb_mod in attrs:
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if full_attr in data:
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if range_name is not None:
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range_data[imdb_mod] = data[full_attr]
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elif obj_name is not None:
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out[constraint][f"{imdb_mod}{lower}"] = [{obj_name: d} for d in data[full_attr]]
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elif translation is None:
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out[constraint][f"{imdb_mod}{lower}"] = data[full_attr]
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elif isinstance(translation, tuple):
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out[constraint][f"{imdb_mod}{lower}"] = [d.replace(translation[0], translation[1]) for d in data[full_attr]]
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elif isinstance(translation, dict):
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out[constraint][f"{imdb_mod}{lower}"] = [translation[d] for d in data[full_attr]]
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if range_data:
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out[constraint][range_name[i]] = range_data
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sort = data["sort_by"] if "sort_by" in data else "popularity.asc" if list_type == "search" else "custom.asc"
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sort_by, sort_order = sort.split(".")
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if list_type == "search":
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out["titleTypeConstraint"] = {"anyTitleTypeIds": [title_type_options[t] for t in data["type"]] if "type" in data else []}
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out["sortBy"] = sort_by_options[sort_by]
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out["sortOrder"] = sort_order.upper()
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check_constraint("type", [("not", "excludeTitleTypeIds")], "titleTypeConstraint", translation=title_type_options)
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check_constraint("release", [("after", "start"), ("before", "end")], "releaseDateConstraint", range_name="releaseDateRange")
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check_constraint("title", [("", "searchTerm")], "titleTextConstraint")
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check_constraint(["rating", "votes"], [("gte", "min"), ("lte", "max")], "userRatingsConstraint", range_name=["aggregateRatingRange", "ratingsCountRange"])
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check_constraint("genre", [("", "all"), ("any", "any"), ("not", "exclude")], "genreConstraint", lower="GenreIds", translation=genre_options)
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check_constraint("topic", [("", "all"), ("any", "any"), ("not", "no")], "withTitleDataConstraint", lower="DataAvailable", translation=topic_options)
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check_constraint("alternate_version", [("", "all"), ("any", "any")], "alternateVersionMatchingConstraint", lower="AlternateVersionTextTerms")
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check_constraint("crazy_credit", [("", "all"), ("any", "any")], "crazyCreditMatchingConstraint", lower="CrazyCreditTextTerms")
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check_constraint("location", [("", "all"), ("any", "any")], "filmingLocationConstraint", lower="Locations")
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check_constraint("goof", [("", "all"), ("any", "any")], "goofMatchingConstraint", lower="GoofTextTerms")
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check_constraint("plot", [("", "all"), ("any", "any")], "plotMatchingConstraint", lower="PlotTextTerms")
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check_constraint("quote", [("", "all"), ("any", "any")], "quoteMatchingConstraint", lower="QuoteTextTerms")
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check_constraint("soundtrack", [("", "all"), ("any", "any")], "soundtrackMatchingConstraint", lower="SoundtrackTextTerms")
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check_constraint("trivia", [("", "all"), ("any", "any")], "triviaMatchingConstraint", lower="TriviaTextTerms")
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if "event" in data or "event.winning" in data:
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input_list = []
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if "event" in data:
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input_list.extend([event_options[a] if a in event_options else {"eventId": a} for a in data["event"]])
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if "event.winning" in data:
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for a in data["event.winning"]:
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award_dict = event_options[a] if a in event_options else {"eventId": a}
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award_dict["winnerFilter"] = "WINNER_ONLY"
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input_list.append(award_dict)
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out["awardConstraint"] = {"allEventNominations": input_list}
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if any([a in data for a in ["imdb_top", "imdb_bottom", "popularity.gte", "popularity.lte"]]):
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ranges = []
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if "imdb_top" in data:
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ranges.append({"rankRange": {"max": data["imdb_top"]}, "rankedTitleListType": "TOP_RATED_MOVIES"})
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if "imdb_bottom" in data:
|
|
ranges.append({"rankRange": {"max": data["imdb_bottom"]}, "rankedTitleListType": "LOWEST_RATED_MOVIES"})
|
|
if "popularity.gte" in data or "popularity.lte" in data:
|
|
num_range = {}
|
|
if "popularity.lte" in data:
|
|
num_range["max"] = data["popularity.lte"]
|
|
if "popularity.gte" in data:
|
|
num_range["min"] = data["popularity.gte"]
|
|
ranges.append({"rankRange": num_range, "rankedTitleListType": "TITLE_METER"})
|
|
out["rankedTitleListConstraint"] = {"allRankedTitleLists": ranges}
|
|
|
|
check_constraint("series", [("", "any"), ("not", "exclude")], "episodicConstraint", lower="SeriesIds")
|
|
check_constraint("list", [("", "inAllLists"), ("any", "inAnyList"), ("not", "notInAnyList")], "listConstraint")
|
|
|
|
if "company" in data:
|
|
company_ids = []
|
|
for c in data["company"]:
|
|
if c in company_options:
|
|
company_ids.extend(company_options[c])
|
|
else:
|
|
company_ids.append(c)
|
|
out["creditedCompanyConstraint"] = {"anyCompanyIds": company_ids}
|
|
|
|
check_constraint("content_rating", [("", "anyRegionCertificateRatings")], "certificateConstraint")
|
|
check_constraint("country", [("", "all"), ("any", "any"), ("not", "exclude"), ("origin", "anyPrimary")], "originCountryConstraint", lower="Countries")
|
|
check_constraint("keyword", [("", "all"), ("any", "any"), ("not", "exclude")], "keywordConstraint", lower="Keywords", translation=(" ", "-"))
|
|
check_constraint("language", [("", "all"), ("any", "any"), ("not", "exclude"), ("primary", "anyPrimary")], "languageConstraint", lower="Languages")
|
|
check_constraint("cast", [("", "all"), ("any", "any"), ("not", "exclude")], "titleCreditsConstraint", lower="Credits", obj_name="nameId")
|
|
check_constraint("character", [("", "any")], "characterConstraint", lower="CharacterNames")
|
|
check_constraint("runtime", [("gte", "min"), ("lte", "max")], "runtimeConstraint", range_name="runtimeRangeMinutes")
|
|
|
|
if "adult" in data and data["adult"]:
|
|
out["explicitContentConstraint"] = {"explicitContentFilter": "INCLUDE_ADULT"}
|
|
else:
|
|
if list_type == "list":
|
|
out["lsConst"] = data["list_id"]
|
|
else:
|
|
out["urConst"] = data["user_id"]
|
|
out["sort"] = {"by": list_sort_by_options[sort_by], "order": sort_order.upper()}
|
|
|
|
logger.trace(out)
|
|
op, sha = self._json_operation(list_type)
|
|
return {"operationName": op, "variables": out, "extensions": {"persistedQuery": {"version": 1, "sha256Hash": sha}}}
|
|
|
|
def _pagination(self, data, list_type):
|
|
is_list = list_type != "search"
|
|
json_obj = self._graphql_json(data, list_type)
|
|
item_count = 100 if is_list else 250
|
|
imdb_ids = []
|
|
logger.ghost("Parsing Page 1")
|
|
response_json = self._graph_request(json_obj)
|
|
try:
|
|
step = "list" if list_type == "list" else "predefinedList"
|
|
search_data = response_json["data"][step]["titleListItemSearch"] if is_list else response_json["data"]["advancedTitleSearch"]
|
|
total = search_data["total"]
|
|
limit = data["limit"]
|
|
if limit < 1 or total < limit:
|
|
limit = total
|
|
remainder = limit % item_count
|
|
if remainder == 0:
|
|
remainder = item_count
|
|
num_of_pages = math.ceil(int(limit) / item_count)
|
|
end_cursor = search_data["pageInfo"]["endCursor"]
|
|
imdb_ids.extend([n["listItem"]["id"] if is_list else n["node"]["title"]["id"] for n in search_data["edges"]])
|
|
if num_of_pages > 1:
|
|
for i in range(2, num_of_pages + 1):
|
|
start_num = (i - 1) * item_count + 1
|
|
logger.ghost(f"Parsing Page {i}/{num_of_pages} {start_num}-{limit if i == num_of_pages else i * item_count}")
|
|
json_obj["variables"]["after"] = end_cursor
|
|
response_json = self._graph_request(json_obj)
|
|
search_data = response_json["data"][step]["titleListItemSearch"] if is_list else response_json["data"]["advancedTitleSearch"]
|
|
end_cursor = search_data["pageInfo"]["endCursor"]
|
|
ids_found = [n["listItem"]["id"] if is_list else n["node"]["title"]["id"] for n in search_data["edges"]]
|
|
if i == num_of_pages:
|
|
ids_found = ids_found[:remainder]
|
|
imdb_ids.extend(ids_found)
|
|
logger.exorcise()
|
|
if len(imdb_ids) > 0:
|
|
return imdb_ids
|
|
raise Failed("IMDb Error: No IMDb IDs Found")
|
|
except KeyError:
|
|
if 'errors' in response_json.keys() and 'message' in response_json['errors'][0] and response_json['errors'][0]['message'] == 'PersistedQueryNotFound':
|
|
raise Failed("Internal IMDB PersistedQuery Error")
|
|
logger.error(f"Response: {response_json}")
|
|
raise
|
|
|
|
def _award(self, data):
|
|
final_list = []
|
|
if data["event_id"] in self.events_validation:
|
|
event_data = self.get_event(data["event_id"])
|
|
if data["event_year"] == "all":
|
|
event_years = self.events_validation[data["event_id"]]["years"]
|
|
elif data["event_year"] == "latest":
|
|
event_years = [self.events_validation[data["event_id"]]["years"][0]]
|
|
else:
|
|
event_years = data["event_year"]
|
|
for event_year in event_years:
|
|
for award, categories in event_data[event_year].items():
|
|
if data["award_filter"] and award not in data["award_filter"]:
|
|
continue
|
|
for cat in categories:
|
|
if data["category_filter"] and cat not in data["category_filter"]:
|
|
continue
|
|
final_list.extend(categories[cat]["winner" if data["winning"] else "nominee"])
|
|
else:
|
|
event_year = self.get_event_years(data["event_id"])[0] if data["event_year"] == "latest" else data["event_year"][0]
|
|
event_slug = f"{event_year}/1" if "-" not in event_year else event_year.replace("-", "/")
|
|
for text in self._request(f"{base_url}/event/{data['event_id']}/{event_slug}/?ref_=ev_eh", xpath="//div[@class='article']/script/text()")[0].split("\n"):
|
|
if text.strip().startswith("IMDbReactWidgets.NomineesWidget.push"):
|
|
jsonline = text.strip()
|
|
obj = json.loads(jsonline[jsonline.find('{'):-3])
|
|
for award in obj["nomineesWidgetModel"]["eventEditionSummary"]["awards"]:
|
|
if data["award_filter"] and award["awardName"] not in data["award_filter"]:
|
|
continue
|
|
for cat in award["categories"]:
|
|
if data["category_filter"] and cat["categoryName"] not in data["category_filter"]:
|
|
continue
|
|
for nom in cat["nominations"]:
|
|
if data["winning"] and not nom["isWinner"]:
|
|
continue
|
|
imdb_id = next((n["const"] for n in nom["primaryNominees"] + nom["secondaryNominees"] if n["const"].startswith("tt")), None)
|
|
if imdb_id:
|
|
final_list.append(imdb_id)
|
|
break
|
|
return final_list
|
|
|
|
def keywords(self, imdb_id, language, ignore_cache=False):
|
|
imdb_keywords = {}
|
|
expired = None
|
|
if self.cache and not ignore_cache:
|
|
imdb_keywords, expired = self.cache.query_imdb_keywords(imdb_id, self.cache.expiration)
|
|
if imdb_keywords and expired is False:
|
|
return imdb_keywords
|
|
keywords = self._request(f"{base_url}/title/{imdb_id}/keywords", language=language, xpath="//td[@class='soda sodavote']")
|
|
if not keywords:
|
|
raise Failed(f"IMDb Error: No Item Found for IMDb ID: {imdb_id}")
|
|
for k in keywords:
|
|
name = k.xpath("div[@class='sodatext']/a/text()")[0]
|
|
relevant = k.xpath("div[@class='did-you-know-actions']/div/a/text()")[0].strip()
|
|
if "of" in relevant:
|
|
result = re.search(r"(\d+) of (\d+).*", relevant)
|
|
imdb_keywords[name] = (int(result.group(1)), int(result.group(2)))
|
|
else:
|
|
imdb_keywords[name] = (0, 0)
|
|
if self.cache and not ignore_cache:
|
|
self.cache.update_imdb_keywords(expired, imdb_id, imdb_keywords, self.cache.expiration)
|
|
return imdb_keywords
|
|
|
|
def parental_guide(self, imdb_id, ignore_cache=False):
|
|
parental_dict = {}
|
|
expired = None
|
|
if self.cache and not ignore_cache:
|
|
parental_dict, expired = self.cache.query_imdb_parental(imdb_id, self.cache.expiration)
|
|
if parental_dict and expired is False:
|
|
return parental_dict
|
|
for e in self._request(f"{base_url}/title/{imdb_id}/parentalguide", xpath="//li[contains(@class, 'ipc-metadata-list-item--link')]"):
|
|
parental_dict[util.parental_types[e.xpath("a/text()")[0][:-1]]] = e.xpath("div/div/div/text()")[0]
|
|
if parental_dict:
|
|
for _, v in util.parental_types.items():
|
|
if v not in parental_dict:
|
|
parental_dict[v] = None
|
|
else:
|
|
raise Failed(f"IMDb Error: No Parental Guide Found for IMDb ID: {imdb_id}")
|
|
if self.cache and not ignore_cache:
|
|
self.cache.update_imdb_parental(expired, imdb_id, parental_dict, self.cache.expiration)
|
|
return parental_dict
|
|
|
|
def _ids_from_chart(self, chart, language):
|
|
if chart not in chart_urls:
|
|
raise Failed(f"IMDb Error: chart: {chart} not ")
|
|
script_data = self._request(f"{base_url}/{chart_urls[chart]}", language=language, xpath="//script[@id='__NEXT_DATA__']/text()")[0]
|
|
return [x.group(1) for x in re.finditer(r'"(tt\d+)"', script_data)]
|
|
|
|
def get_imdb_ids(self, method, data, language):
|
|
if method == "imdb_id":
|
|
logger.info(f"Processing IMDb ID: {data}")
|
|
return [(data, "imdb")]
|
|
elif method in ["imdb_list", "imdb_watchlist"]:
|
|
logger.info(f"Processing IMDb {'List' if method == 'imdb_list' else 'Watchlist'}: {data['list_id' if method == 'imdb_list' else 'user_id']}")
|
|
if data["limit"] > 0:
|
|
logger.info(f" Limit: {data['limit']}")
|
|
if "sort_by" in data:
|
|
logger.info(f" Sort By: {data['sort_by']}")
|
|
return [(i, "imdb") for i in self._pagination(data, "list" if method == "imdb_list" else "watchlist")]
|
|
elif method == "imdb_chart":
|
|
logger.info(f"Processing IMDb Chart: {charts[data]}")
|
|
return [(_i, "imdb") for _i in self._ids_from_chart(data, language)]
|
|
elif method == "imdb_award":
|
|
if data["event_year"] not in ["all", "latest"] and len(data["event_year"]) == 1:
|
|
event_slug = f"{data['event_year'][0]}/1" if "-" not in data["event_year"][0] else data["event_year"][0].replace("-", "/")
|
|
logger.info(f"Processing IMDb Award: {base_url}/event/{data['event_id']}/{event_slug}/?ref_=ev_eh")
|
|
else:
|
|
logger.info(f"Processing IMDb Award: {data['event_id']}")
|
|
logger.info(f" event_year: {data['event_year']}")
|
|
for k in ["award_filter", "category_filter", "winning"]:
|
|
logger.info(f" {k}: {data[k]}")
|
|
return [(_i, "imdb") for _i in self._award(data)]
|
|
elif method == "imdb_search":
|
|
logger.info(f"Processing IMDb Search:")
|
|
for k, v in data.items():
|
|
logger.info(f" {k}: {v}")
|
|
return [(_i, "imdb") for _i in self._pagination(data, "search")]
|
|
else:
|
|
raise Failed(f"IMDb Error: Method {method} not supported")
|
|
|
|
def _interface(self, interface):
|
|
gz = os.path.join(self.default_dir, f"title.{interface}.tsv.gz")
|
|
tsv = os.path.join(self.default_dir, f"title.{interface}.tsv")
|
|
|
|
if os.path.exists(gz):
|
|
os.remove(gz)
|
|
if os.path.exists(tsv):
|
|
os.remove(tsv)
|
|
|
|
self.requests.get_stream(f"https://datasets.imdbws.com/title.{interface}.tsv.gz", gz, "IMDb Interface")
|
|
|
|
with open(tsv, "wb") as f_out:
|
|
with gzip.open(gz, "rb") as f_in:
|
|
shutil.copyfileobj(f_in, f_out)
|
|
|
|
with open(tsv, "r", encoding="utf-8") as t:
|
|
if interface == "ratings":
|
|
data = {line[0]: line[1] for line in csv.reader(t, delimiter="\t")}
|
|
elif interface == "basics":
|
|
data = {line[0]: str(line[-1]).split(",") for line in csv.reader(t, delimiter="\t") if str(line[-1]) != "\\N"}
|
|
else:
|
|
data = [line for line in csv.reader(t, delimiter="\t")]
|
|
|
|
if os.path.exists(gz):
|
|
os.remove(gz)
|
|
if os.path.exists(tsv):
|
|
os.remove(tsv)
|
|
|
|
return data
|
|
|
|
@property
|
|
def ratings(self):
|
|
if self._ratings is None:
|
|
self._ratings = self._interface("ratings")
|
|
return self._ratings
|
|
|
|
@property
|
|
def genres(self):
|
|
if self._genres is None:
|
|
self._genres = self._interface("basics")
|
|
return self._genres
|
|
|
|
@property
|
|
def episode_ratings(self):
|
|
if self._episode_ratings is None:
|
|
self._episode_ratings = {}
|
|
for imdb_id, parent_id, season_num, episode_num in self._interface("episode"):
|
|
if imdb_id not in self.ratings:
|
|
continue
|
|
if parent_id not in self._episode_ratings:
|
|
self._episode_ratings[parent_id] = {}
|
|
if season_num not in self._episode_ratings[parent_id]:
|
|
self._episode_ratings[parent_id][season_num] = {}
|
|
self._episode_ratings[parent_id][season_num][episode_num] = self.ratings[imdb_id]
|
|
return self._episode_ratings
|
|
|
|
def get_rating(self, imdb_id):
|
|
return self.ratings[imdb_id] if imdb_id in self.ratings else None
|
|
|
|
def get_genres(self, imdb_id):
|
|
return self.genres[imdb_id] if imdb_id in self.genres else []
|
|
|
|
def get_episode_rating(self, imdb_id, season_num, episode_num):
|
|
season_num = str(season_num)
|
|
episode_num = str(episode_num)
|
|
if imdb_id not in self.episode_ratings or season_num not in self.episode_ratings[imdb_id] or episode_num not in self.episode_ratings[imdb_id][season_num]:
|
|
return None
|
|
return self.episode_ratings[imdb_id][season_num][episode_num]
|
|
|
|
def item_filter(self, imdb_info, filter_attr, modifier, filter_final, filter_data):
|
|
if filter_attr == "imdb_keyword":
|
|
mr = filter_data["minimum_relevant"]
|
|
mv = filter_data["minimum_votes"]
|
|
mp = filter_data["minimum_percentage"]
|
|
attrs = [k for k, (r, v) in imdb_info.items() if r >= mr and v >= mv and (v == 0 or r / v >= mp)]
|
|
if modifier == ".regex":
|
|
has_match = False
|
|
for reg in filter_data:
|
|
for name in attrs:
|
|
if re.compile(reg).search(name):
|
|
has_match = True
|
|
if has_match is False:
|
|
return False
|
|
elif modifier in [".count_gt", ".count_gte", ".count_lt", ".count_lte"]:
|
|
test_number = len(attrs) if attrs else 0
|
|
modifier = f".{modifier[7:]}"
|
|
if test_number is None or util.is_number_filter(test_number, modifier, filter_data):
|
|
return False
|
|
elif (not list(set(filter_data["keywords"]) & set(attrs)) and modifier == "") \
|
|
or (list(set(filter_data["keywords"]) & set(attrs)) and modifier == ".not"):
|
|
return False
|
|
return True
|