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133 lines
4.4 KiB
133 lines
4.4 KiB
# coding=utf-8
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import logging
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import os
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import pickle
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from knowit import api
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import enzyme
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from enzyme.exceptions import MalformedMKVError
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from custom_lang import CustomLanguage
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from database import TableEpisodes, TableMovies
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logger = logging.getLogger(__name__)
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def _handle_alpha3(detected_language: dict):
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alpha3 = detected_language["language"].alpha3
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custom = CustomLanguage.from_value(alpha3, "official_alpha3")
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if custom and custom.ffprobe_found(detected_language):
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logger.debug("Custom embedded language found: %s", custom.name)
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return custom.alpha3
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return alpha3
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def embedded_subs_reader(file, file_size, media_type, use_cache=True):
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data = parse_video_metadata(file, file_size, media_type, use_cache=use_cache)
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subtitles_list = []
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if data["ffprobe"] and "subtitle" in data["ffprobe"]:
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for detected_language in data["ffprobe"]["subtitle"]:
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if "language" not in detected_language:
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continue
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# Avoid commentary subtitles
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name = detected_language.get("name", "").lower()
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if "commentary" in name:
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logging.debug("Ignoring commentary subtitle: %s", name)
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continue
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language = _handle_alpha3(detected_language)
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forced = detected_language.get("forced", False)
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hearing_impaired = detected_language.get("hearing_impaired", False)
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codec = detected_language.get("format") # or None
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subtitles_list.append([language, forced, hearing_impaired, codec])
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elif data["enzyme"]:
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for subtitle_track in data["enzyme"].subtitle_tracks:
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hearing_impaired = (
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subtitle_track.name and "sdh" in subtitle_track.name.lower()
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)
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subtitles_list.append(
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[
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subtitle_track.language,
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subtitle_track.forced,
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hearing_impaired,
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subtitle_track.codec_id,
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]
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)
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return subtitles_list
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def parse_video_metadata(file, file_size, media_type, use_cache=True):
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# Define default data keys value
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data = {
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"ffprobe": {},
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"enzyme": {},
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"file_size": file_size,
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}
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if use_cache:
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# Get the actual cache value form database
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if media_type == 'episode':
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cache_key = TableEpisodes.select(TableEpisodes.ffprobe_cache)\
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.where(TableEpisodes.path == file)\
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.dicts()\
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.get()
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elif media_type == 'movie':
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cache_key = TableMovies.select(TableMovies.ffprobe_cache)\
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.where(TableMovies.path == file)\
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.dicts()\
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.get()
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else:
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cache_key = None
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# check if we have a value for that cache key
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try:
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# Unpickle ffprobe cache
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cached_value = pickle.loads(cache_key['ffprobe_cache'])
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except Exception:
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pass
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else:
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# Check if file size match and if so, we return the cached value
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if cached_value['file_size'] == file_size:
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return cached_value
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# if not, we retrieve the metadata from the file
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from utils import get_binary
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ffprobe_path = get_binary("ffprobe")
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# if we have ffprobe available
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if ffprobe_path:
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api.initialize({"provider": "ffmpeg", "ffmpeg": ffprobe_path})
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data["ffprobe"] = api.know(file)
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# if not, we use enzyme for mkv files
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else:
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if os.path.splitext(file)[1] == ".mkv":
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with open(file, "rb") as f:
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try:
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mkv = enzyme.MKV(f)
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except MalformedMKVError:
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logger.error(
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"BAZARR cannot analyze this MKV with our built-in MKV parser, you should install "
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"ffmpeg/ffprobe: " + file
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)
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else:
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data["enzyme"] = mkv
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# we write to db the result and return the newly cached ffprobe dict
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if media_type == 'episode':
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TableEpisodes.update({TableEpisodes.ffprobe_cache: pickle.dumps(data, pickle.HIGHEST_PROTOCOL)})\
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.where(TableEpisodes.path == file)\
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.execute()
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elif media_type == 'movie':
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TableMovies.update({TableEpisodes.ffprobe_cache: pickle.dumps(data, pickle.HIGHEST_PROTOCOL)})\
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.where(TableMovies.path == file)\
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.execute()
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return data
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