import csv, gzip, json, math, os, re, requests, shutil, time from modules import util from modules.util import Failed from urllib.parse import urlparse, parse_qs logger = util.logger builders = ["imdb_list", "imdb_id", "imdb_chart", "imdb_watchlist", "imdb_search", "imdb_award"] movie_charts = ["box_office", "popular_movies", "top_movies", "top_english", "top_indian", "lowest_rated"] show_charts = ["popular_shows", "top_shows"] charts = { "box_office": "Box Office", "popular_movies": "Most Popular Movies", "popular_shows": "Most Popular TV Shows", "top_movies": "Top 250 Movies", "top_shows": "Top 250 TV Shows", "top_english": "Top Rated English Movies", "top_indian": "Top Rated Indian Movies", "lowest_rated": "Lowest Rated Movies" } imdb_search_attributes = [ "limit", "sort_by", "title", "type", "type.not", "release.after", "release.before", "rating.gte", "rating.lte", "votes.gte", "votes.lte", "genre", "genre.any", "genre.not", "event", "event.winning", "series", "series.not", "imdb_top", "imdb_bottom", "company", "content_rating", "country", "country.any", "country.not", "country.origin", "keyword", "keyword.any", "keyword.not", "language", "language.any", "language.not", "language.primary", "popularity.gte", "popularity.lte", "cast", "cast.any", "cast.not", "runtime.gte", "runtime.lte", "adult", ] sort_by_options = { "popularity": "POPULARITY", "title": "TITLE_REGIONAL", "rating": "USER_RATING", "votes": "USER_RATING_COUNT", "box_office": "BOX_OFFICE_GROSS_DOMESTIC", "runtime": "RUNTIME", "year": "YEAR", "release": "RELEASE_DATE", } sort_options = [f"{a}.{d}"for a in sort_by_options for d in ["asc", "desc"]] title_type_options = { "movie": "movie", "tv_series": "tvSeries", "short": "short", "tv_episode": "tvEpisode", "tv_mini_series": "tvMiniSeries", "tv_movie": "tvMovie", "tv_special": "tvSpecial", "tv_short": "tvShort", "video_game": "videoGame", "video": "video", "music_video": "musicVideo", "podcast_series": "podcastSeries", "podcast_episode": "podcastEpisode" } genre_options = {a.lower(): a for a in [ "Action", "Adventure", "Animation", "Biography", "Comedy", "Documentary", "Drama", "Crime", "Family", "History", "News", "Short", "Western", "Sport", "Reality-TV", "Horror", "Fantasy", "Film-Noir", "Music", "Romance", "Talk-Show", "Thriller", "War", "Sci-Fi", "Musical", "Mystery", "Game-Show" ]} company_options = { "fox": ["co0000756", "co0176225", "co0201557", "co0017497"], "dreamworks": ["co0067641", "co0040938", "co0252576", "co0003158"], "mgm": ["co0007143", "co0026841"], "paramount": ["co0023400"], "sony": ["co0050868", "co0026545", "co0121181"], "universal": ["co0005073", "co0055277", "co0042399"], "disney": ["co0008970", "co0017902", "co0098836", "co0059516", "co0092035", "co0049348"], "warner": ["co0002663", "co0005035", "co0863266", "co0072876", "co0080422", "co0046718"], } event_options = { "cannes": {"eventId": "ev0000147"}, "choice": {"eventId": "ev0000133"}, "spirit": {"eventId": "ev0000349"}, "sundance": {"eventId": "ev0000631"}, "bafta": {"eventId": "ev0000123"}, "oscar": {"eventId": "ev0000003"}, "emmy": {"eventId": "ev0000223"}, "golden": {"eventId": "ev0000292"}, "oscar_picture": {"eventId": "ev0000003", "searchAwardCategoryId": "bestPicture"}, "oscar_director": {"eventId": "ev0000003", "searchAwardCategoryId": "bestDirector"}, "national_film_board_preserved": {"eventId": "ev0000468"}, "razzie": {"eventId": "ev0000558"}, } base_url = "https://www.imdb.com" graphql_url = "https://api.graphql.imdb.com/" urls = { "lists": f"{base_url}/list/ls", "keyword_searches": f"{base_url}/search/keyword/", "filmography_searches": f"{base_url}/filmosearch/" } class IMDb: def __init__(self, config): self.config = config self._ratings = None self._genres = None self._episode_ratings = None def _request(self, url, language=None, xpath=None, params=None): logger.trace(f"URL: {url}") if params: logger.trace(f"Params: {params}") headers = util.header(language) if language else util.header() response = self.config.get_html(url, headers=headers, params=params) return response.xpath(xpath) if xpath else response def _graph_request(self, json_data): return self.config.post_json(graphql_url, headers={"content-type": "application/json"}, json=json_data) def validate_imdb_lists(self, err_type, imdb_lists, language): valid_lists = [] for imdb_dict in util.get_list(imdb_lists, split=False): if not isinstance(imdb_dict, dict): imdb_dict = {"url": imdb_dict} dict_methods = {dm.lower(): dm for dm in imdb_dict} if "url" not in dict_methods: raise Failed(f"{err_type} Error: imdb_list url attribute not found") elif imdb_dict[dict_methods["url"]] is None: raise Failed(f"{err_type} Error: imdb_list url attribute is blank") else: imdb_url = imdb_dict[dict_methods["url"]].strip() if not imdb_url.startswith(tuple([v for k, v in urls.items()])): fails = "\n".join([f"{v} (For {k.replace('_', ' ').title()})" for k, v in urls.items()]) raise Failed(f"IMDb Error: {imdb_url} must begin with either:{fails}") self._total(imdb_url, language) list_count = None if "limit" in dict_methods: if imdb_dict[dict_methods["limit"]] is None: logger.warning(f"{err_type} Warning: imdb_list limit attribute is blank using 0 as default") else: try: value = int(str(imdb_dict[dict_methods["limit"]])) if 0 <= value: list_count = value except ValueError: pass if list_count is None: logger.warning(f"{err_type} Warning: imdb_list limit attribute must be an integer 0 or greater using 0 as default") if list_count is None: list_count = 0 valid_lists.append({"url": imdb_url, "limit": list_count}) return valid_lists def validate_imdb_watchlists(self, err_type, users, language): valid_users = [] for user in util.get_list(users): user_id = None if user.startswith("ur"): try: user_id = int(user[2:]) except ValueError: pass if not user_id: raise Failed(f"{err_type} Error: User {user} not in the format of 'ur########'") if self._watchlist(user, language): valid_users.append(user) return valid_users def get_event_years(self, event_id): final = [] for event_link in self._request(f"{base_url}/event/{event_id}", xpath="//div[@class='event-history-widget']//a/@href"): parts = event_link.split("/") final.append(f"{parts[3]}{f'-{parts[4]}' if parts[4] != '1' else ''}") return final def get_award_names(self, event_id, event_year): award_names = [] category_names = [] event_slug = f"{event_year}/1" if "-" not in event_year else event_year.replace("-", "/") 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"): if text.strip().startswith("IMDbReactWidgets.NomineesWidget.push"): jsonline = text.strip() obj = json.loads(jsonline[jsonline.find("{"):-3]) for award in obj["nomineesWidgetModel"]["eventEditionSummary"]["awards"]: award_names.append(award["awardName"]) for category in award["categories"]: category_names.append(category["categoryName"]) break return award_names, category_names def _watchlist(self, user, language): imdb_url = f"{base_url}/user/{user}/watchlist" group = self._request(imdb_url, language=language, xpath="//span[@class='ab_widget']/script[@type='text/javascript']/text()") if group: return [k for k in json.loads(str(group[0]).split("\n")[5][35:-2])["titles"]] raise Failed(f"IMDb Error: Failed to parse URL: {imdb_url}") def _total(self, imdb_url, language): if imdb_url.startswith(urls["lists"]): xpath_total = "//div[@class='desc lister-total-num-results']/text()" per_page = 100 else: xpath_total = "//div[@class='desc']/text()" per_page = 50 results = self._request(imdb_url, language=language, xpath=xpath_total) total = 0 for result in results: if "title" in result: try: total = int(re.findall("(\\d+) title", result.replace(",", ""))[0]) break except IndexError: pass if total > 0: return total, per_page raise Failed(f"IMDb Error: Failed to parse URL: {imdb_url}") def _ids_from_url(self, imdb_url, language, limit): total, item_count = self._total(imdb_url, language) imdb_ids = [] parsed_url = urlparse(imdb_url) params = parse_qs(parsed_url.query) imdb_base = parsed_url._replace(query=None).geturl() # noqa params.pop("start", None) # noqa params.pop("count", None) # noqa params.pop("page", None) # noqa logger.trace(f"URL: {imdb_base}") logger.trace(f"Params: {params}") 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) for i in range(1, 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}") params["page"] = i # noqa ids_found = self._request(imdb_base, language=language, xpath="//div[contains(@class, 'lister-item-image')]//a/img//@data-tconst", params=params) if i == num_of_pages: ids_found = ids_found[:remainder] imdb_ids.extend(ids_found) time.sleep(2) logger.exorcise() if len(imdb_ids) > 0: return imdb_ids raise Failed(f"IMDb Error: No IMDb IDs Found at {imdb_url}") def _search_json(self, data): out = { "locale": "en-US", "first": data["limit"] if "limit" in data and data["limit"] < 250 else 250, "titleTypeConstraint": {"anyTitleTypeIds": [title_type_options[t] for t in data["type"]] if "type" in data else []}, } sort = data["sort_by"] if "sort_by" in data else "popularity.asc" sort_by, sort_order = sort.split(".") out["sortBy"] = sort_by_options[sort_by] out["sortOrder"] = sort_order.upper() if "type.not" in data: out["titleTypeConstraint"]["excludeTitleTypeIds"] = [title_type_options[t] for t in data["type.not"]] if "release.after" in data or "release.before" in data: num_range = {} if "release.after" in data: num_range["start"] = data["release.after"] if "release.before" in data: num_range["end"] = data["release.before"] out["releaseDateConstraint"] = {"releaseDateRange": num_range} if "title" in data: out["titleTextConstraint"] = {"searchTerm": data["title"]} if any([a in data for a in ["rating.gte", "rating.lte", "votes.gte", "votes.lte"]]): out["userRatingsConstraint"] = {} num_range = {} if "rating.gte" in data: num_range["min"] = data["rating.gte"] if "rating.lte" in data: num_range["max"] = data["rating.lte"] out["userRatingsConstraint"]["aggregateRatingRange"] = num_range num_range = {} if "votes.gte" in data: num_range["min"] = data["votes.gte"] if "votes.lte" in data: num_range["max"] = data["votes.lte"] out["userRatingsConstraint"]["ratingsCountRange"] = num_range if any([a in data for a in ["genre", "genre.any", "genre.not"]]): out["genreConstraint"] = {} if "genre" in data: out["genreConstraint"]["allGenreIds"] = [genre_options[g] for g in data["genre"]] if "genre.any" in data: out["genreConstraint"]["anyGenreIds"] = [genre_options[g] for g in data["genre.any"]] if "genre.not" in data: out["genreConstraint"]["excludeGenreIds"] = [genre_options[g] for g in data["genre.not"]] if "event" in data or "event.winning" in data: input_list = [] if "event" in data: input_list.extend([event_options[a] if a in event_options else {"eventId": a} for a in data["event"]]) if "event.winning" in data: for a in data["event.winning"]: award_dict = event_options[a] if a in event_options else {"eventId": a} award_dict["winnerFilter"] = "WINNER_ONLY" input_list.append(award_dict) out["awardConstraint"] = {"allEventNominations": input_list} if any([a in data for a in ["imdb_top", "imdb_bottom", "popularity.gte", "popularity.lte"]]): ranges = [] if "imdb_top" in data: ranges.append({"rankRange": {"max": data["imdb_top"]}, "rankedTitleListType": "TOP_RATED_MOVIES"}) 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} if any([a in data for a in ["series", "series.not"]]): out["episodicConstraint"] = {} if "series" in data: out["episodicConstraint"]["anySeriesIds"] = data["series"] if "series.not" in data: out["episodicConstraint"]["excludeSeriesIds"] = data["series.not"] if any([a in data for a in ["list", "list.any", "list.not"]]): out["listConstraint"] = {} if "list" in data: out["listConstraint"]["inAllLists"] = data["list"] if "list.any" in data: out["listConstraint"]["inAnyList"] = data["list.any"] if "list.not" in data: out["listConstraint"]["notInAnyList"] = data["list.not"] 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} if "content_rating" in data: out["certificateConstraint"] = {"anyRegionCertificateRatings": data["content_rating"]} if any([a in data for a in ["country", "country.any", "country.not", "country.origin"]]): out["originCountryConstraint"] = {} if "country" in data: out["originCountryConstraint"]["allCountries"] = data["country"] if "country.any" in data: out["originCountryConstraint"]["anyCountries"] = data["country.any"] if "country.not" in data: out["originCountryConstraint"]["excludeCountries"] = data["country.not"] if "country.origin" in data: out["originCountryConstraint"]["anyPrimaryCountries"] = data["country.origin"] if any([a in data for a in ["keyword", "keyword.any", "keyword.not"]]): out["keywordConstraint"] = {} if "keyword" in data: out["keywordConstraint"]["allKeywords"] = data["keyword"] if "keyword.any" in data: out["keywordConstraint"]["anyKeywords"] = data["keyword.any"] if "keyword.not" in data: out["keywordConstraint"]["excludeKeywords"] = data["keyword.not"] if any([a in data for a in ["language", "language.any", "language.not", "language.primary"]]): out["languageConstraint"] = {} if "language" in data: out["languageConstraint"]["allLanguages"] = data["language"] if "language.any" in data: out["languageConstraint"]["anyLanguages"] = data["language.any"] if "language.not" in data: out["languageConstraint"]["excludeLanguages"] = data["language.not"] if "language.primary" in data: out["languageConstraint"]["anyPrimaryLanguages"] = data["language.primary"] if any([a in data for a in ["cast", "cast.any", "cast.not"]]): out["creditedNameConstraint"] = {} if "cast" in data: out["creditedNameConstraint"]["allNameIds"] = data["cast"] if "cast.any" in data: out["creditedNameConstraint"]["anyNameIds"] = data["cast.any"] if "cast.not" in data: out["creditedNameConstraint"]["excludeNameIds"] = data["cast.not"] if "runtime.gte" in data or "runtime.lte" in data: num_range = {} if "runtime.gte" in data: num_range["min"] = data["runtime.gte"] if "runtime.lte" in data: num_range["max"] = data["runtime.lte"] out["runtimeConstraint"] = {"runtimeRangeMinutes": num_range} if "adult" in data and data["adult"]: out["explicitContentConstraint"] = {"explicitContentFilter": "INCLUDE_ADULT"} logger.trace(out) return { "operationName": "AdvancedTitleSearch", "variables": out, "extensions": { "persistedQuery": { "version": 1, "sha256Hash": "7327d144ec84b57c93f761affe0d0609b0d495f85e8e47fdc76291679850cfda" } } } def _search(self, data): json_obj = self._search_json(data) item_count = 250 imdb_ids = [] logger.ghost("Parsing Page 1") response_json = self._graph_request(json_obj) total = response_json["data"]["advancedTitleSearch"]["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 = response_json["data"]["advancedTitleSearch"]["pageInfo"]["endCursor"] imdb_ids.extend([n["node"]["title"]["id"] for n in response_json["data"]["advancedTitleSearch"]["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) end_cursor = response_json["data"]["advancedTitleSearch"]["pageInfo"]["endCursor"] ids_found = [n["node"]["title"]["id"] for n in response_json["data"]["advancedTitleSearch"]["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") def _award(self, data): final_list = [] event_slug = f"{data['event_year']}/1" if "-" not in data["event_year"] else data["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.config.Cache and not ignore_cache: imdb_keywords, expired = self.config.Cache.query_imdb_keywords(imdb_id, self.config.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.config.Cache and not ignore_cache: self.config.Cache.update_imdb_keywords(expired, imdb_id, imdb_keywords, self.config.Cache.expiration) return imdb_keywords def parental_guide(self, imdb_id, ignore_cache=False): parental_dict = {} expired = None if self.config.Cache and not ignore_cache: parental_dict, expired = self.config.Cache.query_imdb_parental(imdb_id, self.config.Cache.expiration) if parental_dict and expired is False: return parental_dict response = self._request(f"{base_url}/title/{imdb_id}/parentalguide") for ptype in util.parental_types: results = response.xpath(f"//section[@id='advisory-{ptype}']//span[contains(@class,'ipl-status-pill')]/text()") if results: parental_dict[ptype] = results[0].strip() else: raise Failed(f"IMDb Error: No Item Found for IMDb ID: {imdb_id}") if self.config.Cache and not ignore_cache: self.config.Cache.update_imdb_parental(expired, imdb_id, parental_dict, self.config.Cache.expiration) return parental_dict def _ids_from_chart(self, chart, language): if chart == "box_office": url = "chart/boxoffice" elif chart == "popular_movies": url = "chart/moviemeter" elif chart == "popular_shows": url = "chart/tvmeter" elif chart == "top_movies": url = "chart/top" elif chart == "top_shows": url = "chart/toptv" elif chart == "top_english": url = "chart/top-english-movies" elif chart == "top_indian": url = "india/top-rated-indian-movies" elif chart == "lowest_rated": url = "chart/bottom" else: raise Failed(f"IMDb Error: chart: {chart} not ") links = self._request(f"{base_url}/{url}", language=language, xpath="//li//a[@class='ipc-title-link-wrapper']/@href") return [re.search("(tt\\d+)", l).group(1) for l in links] def get_imdb_ids(self, method, data, language): if method == "imdb_id": logger.info(f"Processing IMDb ID: {data}") return [(data, "imdb")] elif method == "imdb_list": status = f"{data['limit']} Items at " if data['limit'] > 0 else '' logger.info(f"Processing IMDb List: {status}{data['url']}") return [(i, "imdb") for i in self._ids_from_url(data["url"], language, data["limit"])] 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_watchlist": logger.info(f"Processing IMDb Watchlist: {data}") return [(_i, "imdb") for _i in self._watchlist(data, language)] elif method == "imdb_award": event_slug = f"{data['event_year']}/1" if "-" not in data["event_year"] else data["event_year"].replace("-", "/") logger.info(f"Processing IMDb Award: {base_url}/{data['event_id']}/{event_slug}/?ref_=ev_eh") 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._search(data)] else: raise Failed(f"IMDb Error: Method {method} not supported") def _interface(self, interface): gz = os.path.join(self.config.default_dir, f"title.{interface}.tsv.gz") tsv = os.path.join(self.config.default_dir, f"title.{interface}.tsv") if os.path.exists(gz): os.remove(gz) if os.path.exists(tsv): os.remove(tsv) with requests.get(f"https://datasets.imdbws.com/title.{interface}.tsv.gz", stream=True) as r: r.raise_for_status() total_length = r.headers.get('content-length') if total_length is not None: total_length = int(total_length) dl = 0 with open(gz, "wb") as f: for chunk in r.iter_content(chunk_size=8192): dl += len(chunk) f.write(chunk) logger.ghost(f"Downloading IMDb Interface: {dl / total_length * 100:6.2f}%") logger.exorcise() 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")} 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_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