subgen_version = '2025.02.01' from language_code import LanguageCode from datetime import datetime from threading import Lock import os import json import xml.etree.ElementTree as ET import threading import sys import time import queue import logging import gc import random from typing import Union, Any, Optional from fastapi import FastAPI, File, UploadFile, Query, Header, Body, Form, Request from fastapi.responses import StreamingResponse import numpy as np import stable_whisper from stable_whisper import Segment import requests import av import ffmpeg import whisper import ast from watchdog.observers.polling import PollingObserver as Observer from watchdog.events import FileSystemEventHandler import faster_whisper from io import BytesIO import io def get_key_by_value(d, value): reverse_dict = {v: k for k, v in d.items()} return reverse_dict.get(value) def convert_to_bool(in_bool): # Convert the input to string and lower case, then check against true values return str(in_bool).lower() in ('true', 'on', '1', 'y', 'yes') plextoken = os.getenv('PLEXTOKEN', 'token here') plexserver = os.getenv('PLEXSERVER', 'http://192.168.1.111:32400') jellyfintoken = os.getenv('JELLYFINTOKEN', 'token here') jellyfinserver = os.getenv('JELLYFINSERVER', 'http://192.168.1.111:8096') whisper_model = os.getenv('WHISPER_MODEL', 'medium') whisper_threads = int(os.getenv('WHISPER_THREADS', 4)) concurrent_transcriptions = int(os.getenv('CONCURRENT_TRANSCRIPTIONS', 2)) transcribe_device = os.getenv('TRANSCRIBE_DEVICE', 'cpu') procaddedmedia = convert_to_bool(os.getenv('PROCADDEDMEDIA', True)) procmediaonplay = convert_to_bool(os.getenv('PROCMEDIAONPLAY', True)) namesublang = os.getenv('NAMESUBLANG', '') webhookport = int(os.getenv('WEBHOOKPORT', 9000)) word_level_highlight = convert_to_bool(os.getenv('WORD_LEVEL_HIGHLIGHT', False)) debug = convert_to_bool(os.getenv('DEBUG', True)) use_path_mapping = convert_to_bool(os.getenv('USE_PATH_MAPPING', False)) path_mapping_from = os.getenv('PATH_MAPPING_FROM', r'/tv') path_mapping_to = os.getenv('PATH_MAPPING_TO', r'/Volumes/TV') model_location = os.getenv('MODEL_PATH', './models') monitor = convert_to_bool(os.getenv('MONITOR', False)) transcribe_folders = os.getenv('TRANSCRIBE_FOLDERS', '') transcribe_or_translate = os.getenv('TRANSCRIBE_OR_TRANSLATE', 'transcribe').lower() clear_vram_on_complete = convert_to_bool(os.getenv('CLEAR_VRAM_ON_COMPLETE', True)) compute_type = os.getenv('COMPUTE_TYPE', 'auto') append = convert_to_bool(os.getenv('APPEND', False)) reload_script_on_change = convert_to_bool(os.getenv('RELOAD_SCRIPT_ON_CHANGE', False)) lrc_for_audio_files = convert_to_bool(os.getenv('LRC_FOR_AUDIO_FILES', True)) custom_regroup = os.getenv('CUSTOM_REGROUP', 'cm_sl=84_sl=42++++++1') detect_language_length = int(os.getenv('DETECT_LANGUAGE_LENGTH', 30)) detect_language_offset = int(os.getenv('DETECT_LANGUAGE_START_OFFSET', 0)) skipifexternalsub = convert_to_bool(os.getenv('SKIPIFEXTERNALSUB', False)) skip_if_to_transcribe_sub_already_exist = convert_to_bool(os.getenv('SKIP_IF_TO_TRANSCRIBE_SUB_ALREADY_EXIST', True)) skipifinternalsublang = LanguageCode.from_string(os.getenv('SKIPIFINTERNALSUBLANG', '')) plex_queue_next_episode = convert_to_bool(os.getenv('PLEX_QUEUE_NEXT_EPISODE', False)) plex_queue_series = convert_to_bool(os.getenv('PLEX_QUEUE_SERIES', False)) skip_lang_codes_list = ( [LanguageCode.from_string(code) for code in os.getenv("SKIP_LANG_CODES", "").split("|")] if os.getenv('SKIP_LANG_CODES') else [] ) force_detected_language_to = LanguageCode.from_string(os.getenv('FORCE_DETECTED_LANGUAGE_TO', '')) preferred_audio_languages = ( [LanguageCode.from_string(code) for code in os.getenv('PREFERRED_AUDIO_LANGUAGES', 'eng').split("|")] if os.getenv('PREFERRED_AUDIO_LANGUAGES') else [] ) # in order of preferrence limit_to_preferred_audio_languages = convert_to_bool(os.getenv('LIMIT_TO_PREFERRED_AUDIO_LANGUAGE', False)) #TODO: add support for this skip_if_audio_track_is_in_list = ( [LanguageCode.from_string(code) for code in os.getenv('SKIP_IF_AUDIO_TRACK_IS', '').split("|")] if os.getenv('SKIP_IF_AUDIO_TRACK_IS') else [] ) subtitle_language_naming_type = os.getenv('SUBTITLE_LANGUAGE_NAMING_TYPE', 'ISO_639_2_B') only_skip_if_subgen_subtitle = convert_to_bool(os.getenv('ONLY_SKIP_IF_SUBGEN_SUBTITLE', False)) skip_unknown_language = convert_to_bool(os.getenv('SKIP_UNKNOWN_LANGUAGE', False)) skip_if_language_is_not_set_but_subtitles_exist = convert_to_bool(os.getenv('SKIP_IF_LANGUAGE_IS_NOT_SET_BUT_SUBTITLES_EXIST', False)) should_whiser_detect_audio_language = convert_to_bool(os.getenv('SHOULD_WHISPER_DETECT_AUDIO_LANGUAGE', False)) try: kwargs = ast.literal_eval(os.getenv('SUBGEN_KWARGS', '{}') or '{}') except ValueError: kwargs = {} logging.info("kwargs (SUBGEN_KWARGS) is an invalid dictionary, defaulting to empty '{}'") if transcribe_device == "gpu": transcribe_device = "cuda" VIDEO_EXTENSIONS = ( ".mp4", ".mkv", ".avi", ".mov", ".wmv", ".flv", ".webm", ".mpg", ".mpeg", ".3gp", ".ogv", ".vob", ".rm", ".rmvb", ".ts", ".m4v", ".f4v", ".svq3", ".asf", ".m2ts", ".divx", ".xvid" ) AUDIO_EXTENSIONS = ( ".mp3", ".wav", ".aac", ".flac", ".ogg", ".wma", ".alac", ".m4a", ".opus", ".aiff", ".aif", ".pcm", ".ra", ".ram", ".mid", ".midi", ".ape", ".wv", ".amr", ".vox", ".tak", ".spx", ".m4b", ".mka" ) app = FastAPI() model = None in_docker = os.path.exists('/.dockerenv') docker_status = "Docker" if in_docker else "Standalone" last_print_time = None class DeduplicatedQueue(queue.Queue): """Queue that prevents duplicates in both queued and in-progress tasks.""" def __init__(self): super().__init__() self._queued = set() # Tracks paths in the queue self._processing = set() # Tracks paths being processed self._lock = Lock() # Ensures thread safety def put(self, item, block=True, timeout=None): with self._lock: path = item["path"] if path not in self._queued and path not in self._processing: super().put(item, block, timeout) self._queued.add(path) def get(self, block=True, timeout=None): item = super().get(block, timeout) with self._lock: path = item["path"] self._queued.discard(path) # Remove from queued set self._processing.add(path) # Mark as in-progress return item def task_done(self): super().task_done() with self._lock: # Assumes task_done() is called after processing the item from get() # If your workers process multiple items per get(), adjust logic here if self.unfinished_tasks == 0: self._processing.clear() # Reset when all tasks are done def is_processing(self): """Return True if any tasks are being processed.""" with self._lock: return len(self._processing) > 0 def is_idle(self): """Return True if queue is empty AND no tasks are processing.""" return self.empty() and not self.is_processing() #start queue task_queue = DeduplicatedQueue() def transcription_worker(): while True: task = task_queue.get() try: if "type" in task and task["type"] == "detect_language": detect_language_task(task['path']) elif 'Bazarr-' in task['path']: logging.info(f"Task {task['path']} is being handled by ASR.") else: logging.info(f"Task {task['path']} is being handled by Subgen.") gen_subtitles(task['path'], task['transcribe_or_translate'], task['force_language']) task_queue.task_done() # show queue logging.debug(f"Queue status: {task_queue.qsize()} tasks remaining") finally: #task_queue.task_done() delete_model() # ✅ Check if safe to purge AFTER finishing work for _ in range(concurrent_transcriptions): threading.Thread(target=transcription_worker, daemon=True).start() # Define a filter class to hide common logging we don't want to see class MultiplePatternsFilter(logging.Filter): def filter(self, record): # Define the patterns to search for patterns = [ "Compression ratio threshold is not met", "Processing segment at", "Log probability threshold is", "Reset prompt", "Attempting to release", "released on ", "Attempting to acquire", "acquired on", "header parsing failed", "timescale not set", "misdetection possible", "srt was added", "doesn't have any audio to transcribe", "Calling on_" ] # Return False if any of the patterns are found, True otherwise return not any(pattern in record.getMessage() for pattern in patterns) # Configure logging if debug: level = logging.DEBUG logging.basicConfig(stream=sys.stderr, level=level, format="%(asctime)s %(levelname)s: %(message)s") else: level = logging.INFO logging.basicConfig(stream=sys.stderr, level=level) # Get the root logger logger = logging.getLogger() logger.setLevel(level) # Set the logger level for handler in logger.handlers: handler.addFilter(MultiplePatternsFilter()) logging.getLogger("multipart").setLevel(logging.WARNING) logging.getLogger("urllib3").setLevel(logging.WARNING) logging.getLogger("asyncio").setLevel(logging.WARNING) logging.getLogger("watchfiles").setLevel(logging.WARNING) #This forces a flush to print progress correctly def progress(seek, total): sys.stdout.flush() sys.stderr.flush() if(docker_status) == 'Docker': global last_print_time # Get the current time current_time = time.time() # Check if 5 seconds have passed since the last print if last_print_time is None or (current_time - last_print_time) >= 5: # Update the last print time last_print_time = current_time # Log the message logging.debug("Progress update: 5s interval heartbeat") TIME_OFFSET = 5 def appendLine(result): if append: lastSegment = result.segments[-1] date_time_str = datetime.now().strftime("%d %b %Y - %H:%M:%S") appended_text = f"Transcribed by whisperAI with faster-whisper ({whisper_model}) on {date_time_str}" # Create a new segment with the updated information newSegment = Segment( start=lastSegment.start + TIME_OFFSET, end=lastSegment.end + TIME_OFFSET, text=appended_text, words=[], # Empty list for words id=lastSegment.id + 1 ) # Append the new segment to the result's segments result.segments.append(newSegment) @app.get("/plex") @app.get("/webhook") @app.get("/jellyfin") @app.get("/asr") @app.get("/emby") @app.get("/detect-language") @app.get("/tautulli") def handle_get_request(request: Request): return {"You accessed this request incorrectly via a GET request. See https://github.com/McCloudS/subgen for proper configuration"} @app.get("/") def webui(): return {"The webui for configuration was removed on 1 October 2024, please configure via environment variables or in your Docker settings."} @app.get("/status") def status(): return {"version" : f"Subgen {subgen_version}, stable-ts {stable_whisper.__version__}, faster-whisper {faster_whisper.__version__} ({docker_status})"} @app.post("/tautulli") def receive_tautulli_webhook( source: Union[str, None] = Header(None), event: str = Body(None), file: str = Body(None), ): if source == "Tautulli": logging.debug(f"Tautulli event detected is: {event}") if((event == "added" and procaddedmedia) or (event == "played" and procmediaonplay)): fullpath = file logging.debug(f"Full file path: {fullpath}") gen_subtitles_queue(path_mapping(fullpath), transcribe_or_translate) else: return { "message": "This doesn't appear to be a properly configured Tautulli webhook, please review the instructions again!"} return "" @app.post("/plex") def receive_plex_webhook( user_agent: Union[str] = Header(None), payload: Union[str] = Form(), ): try: plex_json = json.loads(payload) logging.debug(f"Raw response: {payload}") if "PlexMediaServer" not in user_agent: return {"message": "This doesn't appear to be a properly configured Plex webhook, please review the instructions again"} event = plex_json["event"] logging.debug(f"Plex event detected is: {event}") if (event == "library.new" and procaddedmedia) or (event == "media.play" and procmediaonplay): fullpath = get_plex_file_name(plex_json['Metadata']['ratingKey'], plexserver, plextoken) logging.debug(f"Full file path: {fullpath}") gen_subtitles_queue(path_mapping(fullpath), transcribe_or_translate) refresh_plex_metadata(plex_json['Metadata']['ratingKey'], plexserver, plextoken) if plex_queue_next_episode: gen_subtitles_queue(path_mapping(get_plex_file_name(get_next_plex_episode(plex_json['Metadata']['ratingKey']), plexserver, plextoken)), transcribe_or_translate) if plex_queue_series: current_rating_key = plex_json['Metadata']['ratingKey'] # Process all episodes in the series starting from the current episode while current_rating_key is not None: try: # Queue the current episode file_path = path_mapping(get_plex_file_name(current_rating_key, plexserver, plextoken)) gen_subtitles_queue(path_mapping(get_plex_file_name(get_next_plex_episode(current_rating_key), plexserver, plextoken)), transcribe_or_translate) # Get the next episode current_rating_key = get_next_plex_episode(current_rating_key) except Exception as e: logging.error(f"Error processing episode with ratingKey {current_rating_key} or reached end of series: {e}") current_rating_key = None # Stop processing on error logging.info("All episodes in the series have been queued.") except Exception as e: logging.error(f"Failed to process Plex webhook: {e}") return "" @app.post("/jellyfin") def receive_jellyfin_webhook( user_agent: str = Header(None), NotificationType: str = Body(None), file: str = Body(None), ItemId: str = Body(None), ): if "Jellyfin-Server" in user_agent: logging.debug(f"Jellyfin event detected is: {NotificationType}") logging.debug(f"itemid is: {ItemId}") if (NotificationType == "ItemAdded" and procaddedmedia) or (NotificationType == "PlaybackStart" and procmediaonplay): fullpath = get_jellyfin_file_name(ItemId, jellyfinserver, jellyfintoken) logging.debug(f"Full file path: {fullpath}") gen_subtitles_queue(path_mapping(fullpath), transcribe_or_translate) try: refresh_jellyfin_metadata(ItemId, jellyfinserver, jellyfintoken) logging.info(f"Metadata for item {ItemId} refreshed successfully.") except Exception as e: logging.error(f"Failed to refresh metadata for item {ItemId}: {e}") else: return { "message": "This doesn't appear to be a properly configured Jellyfin webhook, please review the instructions again!"} return "" @app.post("/emby") def receive_emby_webhook( user_agent: Union[str, None] = Header(None), data: Union[str, None] = Form(None), ): logging.debug("Raw response: %s", data) if not data: return "" data_dict = json.loads(data) event = data_dict['Event'] logging.debug("Emby event detected is: " + event) # Check if it's a notification test event if event == "system.notificationtest": logging.info("Emby test message received!") return {"message": "Notification test received successfully!"} if (event == "library.new" and procaddedmedia) or (event == "playback.start" and procmediaonplay): fullpath = data_dict['Item']['Path'] logging.debug(f"Full file path: {fullpath}") gen_subtitles_queue(path_mapping(fullpath), transcribe_or_translate) return "" @app.post("/batch") def batch( directory: Union[str, None] = Query(default=None), forceLanguage: Union[str, None] = Query(default=None) ): transcribe_existing(directory, LanguageCode.from_string(forceLanguage)) # idea and some code for asr and detect language from https://github.com/ahmetoner/whisper-asr-webservice @app.post("//asr") @app.post("/asr") async def asr( task: Union[str, None] = Query(default="transcribe", enum=["transcribe", "translate"]), language: Union[str, None] = Query(default=None), video_file: Union[str, None] = Query(default=None), initial_prompt: Union[str, None] = Query(default=None), # Not used by Bazarr audio_file: UploadFile = File(...), encode: bool = Query(default=True, description="Encode audio first through ffmpeg"), # Not used by Bazarr/always False output: Union[str, None] = Query(default="srt", enum=["txt", "vtt", "srt", "tsv", "json"]), word_timestamps: bool = Query(default=False, description="Word-level timestamps"), # Not used by Bazarr ): try: logging.info(f"Transcribing file '{video_file}' from Bazarr/ASR webhook" if video_file else "Transcribing file from Bazarr/ASR webhook") result = None random_name = ''.join(random.choices("abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890", k=6)) if force_detected_language_to: language = force_detected_language_to.to_iso_639_1() logging.info(f"ENV FORCE_DETECTED_LANGUAGE_TO is set: Forcing detected language to {force_detected_language_to}") start_time = time.time() start_model() task_id = {'path': f"Bazarr-asr-{random_name}"} task_queue.put(task_id) args = {} args['progress_callback'] = progress file_content = audio_file.file.read() if encode: args['audio'] = file_content else: args['audio'] = np.frombuffer(file_content, np.int16).flatten().astype(np.float32) / 32768.0 args['input_sr'] = 16000 if custom_regroup: args['regroup'] = custom_regroup args.update(kwargs) result = model.transcribe(task=task, language=language, **args) appendLine(result) elapsed_time = time.time() - start_time minutes, seconds = divmod(int(elapsed_time), 60) logging.info( f"Transcription of '{video_file}' from Bazarr complete, it took {minutes} minutes and {seconds} seconds to complete." if video_file else f"Transcription complete, it took {minutes} minutes and {seconds} seconds to complete.") except Exception as e: logging.error( f"Error processing or transcribing Bazarr file: {video_file} -- Exception: {e}" if video_file else f"Error processing or transcribing Bazarr file Exception: {e}" ) finally: await audio_file.close() task_queue.task_done() delete_model() if result: return StreamingResponse( iter(result.to_srt_vtt(filepath=None, word_level=word_level_highlight)), media_type="text/plain", headers={ 'Source': 'Transcribed using stable-ts from Subgen!', } ) else: return @app.post("//detect-language") @app.post("/detect-language") async def detect_language( audio_file: UploadFile = File(...), encode: bool = Query(default=True, description="Encode audio first through ffmpeg"), # This is always false from Bazarr detect_lang_length: int = Query(default=detect_language_length, description="Detect language on X seconds of the file"), detect_lang_offset: int = Query(default=detect_language_offset, description="Start Detect language X seconds into the file") ): if force_detected_language_to: #logging.info(f"language is: {force_detected_language_to.to_name()}") logging.debug(f"Skipping detect language, we have forced it as {force_detected_language_to.to_name()}") return { "detected_language": force_detected_language_to.to_name(), "language_code": force_detected_language_to.to_iso_639_1() } global detect_language_length, detect_language_offset detected_language = LanguageCode.NONE language_code = 'und' if force_detected_language_to: logging.info(f"ENV FORCE_DETECTED_LANGUAGE_TO is set: Forcing detected language to {force_detected_language_to}\n Returning without detection") return {"detected_language": force_detected_language_to.to_name(), "language_code": force_detected_language_to.to_iso_639_1()} # Log custom detection time settings if modified if detect_lang_length != detect_language_length: logging.info(f"Detecting language on the first {detect_lang_length} seconds of the audio.") detect_language_length = detect_lang_length if detect_lang_offset != detect_language_offset: logging.info(f"Offsetting language detection by {detect_language_offset} seconds.") detect_language_offset = detect_lang_offset #audio_file = extract_audio_segment_to_memory(audio_file, detect_language_offset, detect_language_length) try: start_model() random_name = ''.join(random.choices("abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890", k=6)) task_id = { 'path': f"Bazarr-detect-language-{random_name}" } task_queue.put(task_id) args = {} #sample_rate = next(stream.rate for stream in av.open(audio_file.file).streams if stream.type == 'audio') #logging.info(f"Sample rate is: {sample_rate}") audio_file.file.seek(0) args['progress_callback'] = progress if encode: args['audio'] = extract_audio_segment_to_memory(audio_file, detect_language_offset, detect_language_length).read() args['input_sr'] = 16000 else: #args['audio'] = whisper.pad_or_trim(np.frombuffer(audio_file.file.read(), np.int16).flatten().astype(np.float32) / 32768.0, args['input_sr'] * int(detect_language_length)) args['audio'] = await get_audio_chunk(audio_file, detect_lang_offset, detect_lang_length) args['input_sr'] = 16000 args.update(kwargs) detected_language = LanguageCode.from_name(model.transcribe(**args).language) language_code = detected_language.to_iso_639_1() logging.debug(f"Language detection: {detected_language.to_name()} (Code: {language_code})") except Exception as e: logging.info(f"Error processing or transcribing Bazarr {audio_file.filename}: {e}") finally: #await audio_file.close() task_queue.task_done() delete_model() return {"detected_language": detected_language.to_name(), "language_code": language_code} async def get_audio_chunk(audio_file, offset=detect_language_offset, length=detect_language_length, sample_rate=16000, audio_format=np.int16): """ Extract a chunk of audio from a file, starting at the given offset and of the given length. :param audio_file: The audio file (UploadFile or file-like object). :param offset: The offset in seconds to start the extraction. :param length: The length in seconds for the chunk to be extracted. :param sample_rate: The sample rate of the audio (default 16000). :param audio_format: The audio format to interpret (default int16, 2 bytes per sample). :return: A numpy array containing the extracted audio chunk. """ # Number of bytes per sample (for int16, 2 bytes per sample) bytes_per_sample = np.dtype(audio_format).itemsize # Calculate the start byte based on offset and sample rate start_byte = offset * sample_rate * bytes_per_sample # Calculate the length in bytes based on the length in seconds length_in_bytes = length * sample_rate * bytes_per_sample # Seek to the start position (this assumes the audio_file is a file-like object) await audio_file.seek(start_byte) # Read the required chunk of audio (length_in_bytes) chunk = await audio_file.read(length_in_bytes) # Convert the chunk into a numpy array (normalized to float32) audio_data = np.frombuffer(chunk, dtype=audio_format).flatten().astype(np.float32) / 32768.0 return audio_data def detect_language_task(path): detected_language = LanguageCode.NONE language_code = 'und' global detect_language_length logger.info(f"Detecting language of file: {path} on the first {detect_language_length} seconds of the file") try: start_model() audio_segment = extract_audio_segment_to_memory(path, detect_language_offset, int(detect_language_length)).read() detected_language = LanguageCode.from_name(model.transcribe(audio_segment).language) logging.debug(f"Detected language: {detected_language.to_name()}") # reverse lookup of language -> code, ex: "english" -> "en", "nynorsk" -> "nn", ... language_code = detected_language.to_iso_639_1() logging.debug(f"Language Code: {language_code}") except Exception as e: logging.info(f"Error detectign language of file with whisper: {e}") finally: task_queue.task_done() delete_model() # put task to transcribe this with the detected language task_id = { 'path': path, "transcribe_or_translate": transcribe_or_translate, 'force_language': detected_language } task_queue.put(task_id) #maybe modify the file to contain detected language so we won't trigger this again return def extract_audio_segment_to_memory(input_file, start_time, duration): """ Extract a segment of audio from input_file, starting at start_time for duration seconds. :param input_file: UploadFile object or path to the input audio file :param start_time: Start time in seconds (e.g., 60 for 1 minute) :param duration: Duration in seconds (e.g., 30 for 30 seconds) :return: BytesIO object containing the audio segment """ try: if hasattr(input_file, 'file') and hasattr(input_file.file, 'read'): # Handling UploadFile input_file.file.seek(0) # Ensure the file pointer is at the beginning input_stream = 'pipe:0' input_kwargs = {'input': input_file.file.read()} elif isinstance(input_file, str): # Handling local file path input_stream = input_file input_kwargs = {} else: raise ValueError("Invalid input: input_file must be a file path or an UploadFile object.") logging.info(f"Extracting audio from: {input_stream}, start_time: {start_time}, duration: {duration}") # Run FFmpeg to extract the desired segment out, _ = ( ffmpeg .input(input_stream, ss=start_time, t=duration) # Set start time and duration .output('pipe:1', format='wav', acodec='pcm_s16le', ar=16000) # Output to pipe as WAV .run(capture_stdout=True, capture_stderr=True, **input_kwargs) ) # Check if the output is empty or null if not out: raise ValueError("FFmpeg output is empty, possibly due to invalid input.") return io.BytesIO(out) # Convert output to BytesIO for in-memory processing except ffmpeg.Error as e: logging.error(f"FFmpeg error: {e.stderr.decode()}") return None except Exception as e: logging.error(f"Error: {str(e)}") return None except ffmpeg.Error as e: logging.error(f"FFmpeg error: {e.stderr.decode()}") return None except Exception as e: logging.error(f"Error: {str(e)}") return None def start_model(): global model if model is None: logging.debug("Model was purged, need to re-create") model = stable_whisper.load_faster_whisper(whisper_model, download_root=model_location, device=transcribe_device, cpu_threads=whisper_threads, num_workers=concurrent_transcriptions, compute_type=compute_type) def delete_model(): global model if clear_vram_on_complete and task_queue.is_idle(): logging.debug("Queue idle; clearing model from memory.") model = None gc.collect() def isAudioFileExtension(file_extension): return file_extension.casefold() in \ AUDIO_EXTENSIONS def write_lrc(result, file_path): with open(file_path, "w") as file: for segment in result.segments: minutes, seconds = divmod(int(segment.start), 60) fraction = int((segment.start - int(segment.start)) * 100) # remove embedded newlines in text, since some players ignore text after newlines text = segment.text[:].replace('\n', '') file.write(f"[{minutes:02d}:{seconds:02d}.{fraction:02d}]{text}\n") def gen_subtitles(file_path: str, transcription_type: str, force_language : LanguageCode = LanguageCode.NONE) -> None: """Generates subtitles for a video file. Args: file_path: str - The path to the video file. transcription_type: str - The type of transcription or translation to perform. force_language: str - The language to force for transcription or translation. Default is None. """ try: logging.info(f"Queuing file for processing: {os.path.basename(file_path)}") #logging.info(f"Transcribing file: {os.path.basename(file_path)}") #logging.info(f"Transcribing file language: {force_language}") start_time = time.time() start_model() # Check if the file is an audio file before trying to extract audio file_name, file_extension = os.path.splitext(file_path) is_audio_file = isAudioFileExtension(file_extension) data = file_path # Extract audio from the file if it has multiple audio tracks extracted_audio_file = handle_multiple_audio_tracks(file_path, force_language) if extracted_audio_file: data = extracted_audio_file.read() args = {} args['progress_callback'] = progress if custom_regroup: args['regroup'] = custom_regroup args.update(kwargs) result = model.transcribe(data, language=force_language.to_iso_639_1(), task=transcription_type, **args) appendLine(result) # If it is an audio file, write the LRC file if is_audio_file and lrc_for_audio_files: write_lrc(result, file_name + '.lrc') else: if not force_language: force_language = LanguageCode.from_string(result.language) result.to_srt_vtt(name_subtitle(file_path, force_language), word_level=word_level_highlight) elapsed_time = time.time() - start_time minutes, seconds = divmod(int(elapsed_time), 60) logging.info(f"Completed transcription: {os.path.basename(file_path)} in {minutes}m {seconds}s") except Exception as e: logging.info(f"Error processing or transcribing {file_path} in {force_language}: {e}") finally: delete_model() def define_subtitle_language_naming(language: LanguageCode, type): """ Determines the naming format for a subtitle language based on the given type. Args: language (LanguageCode): The language code object containing methods to get different formats of the language name. type (str): The type of naming format desired, such as 'ISO_639_1', 'ISO_639_2_T', 'ISO_639_2_B', 'NAME', or 'NATIVE'. Returns: str: The language name in the specified format. If an invalid type is provided, it defaults to the language's name. """ if namesublang: return namesublang # If we are translating, then we ALWAYS output an english file. switch_dict = { "ISO_639_1": language.to_iso_639_1, "ISO_639_2_T": language.to_iso_639_2_t, "ISO_639_2_B": language.to_iso_639_2_b, "NAME": language.to_name, "NATIVE": lambda : language.to_name(in_english=False) } if transcribe_or_translate == 'translate': language = LanguageCode.from_string('eng') return switch_dict.get(type, language.to_name)() def name_subtitle(file_path: str, language: LanguageCode) -> str: """ Name the the subtitle file to be written, based on the source file and the language of the subtitle. Args: file_path: The path to the source file. language: The language of the subtitle. Returns: The name of the subtitle file to be written. """ return f"{os.path.splitext(file_path)[0]}.subgen.{whisper_model.split('.')[0]}.{define_subtitle_language_naming(language, subtitle_language_naming_type)}.srt" def handle_multiple_audio_tracks(file_path: str, language: LanguageCode | None = None) -> BytesIO | None: """ Handles the possibility of a media file having multiple audio tracks. If the media file has multiple audio tracks, it will extract the audio track of the selected language. Otherwise, it will extract the first audio track. Parameters: file_path (str): The path to the media file. language (LanguageCode | None): The language of the audio track to search for. If None, it will extract the first audio track. Returns: io.BytesIO | None: The audio or None if no audio track was extracted. """ audio_bytes = None audio_tracks = get_audio_tracks(file_path) if len(audio_tracks) > 1: logging.debug(f"Handling multiple audio tracks from {file_path} and planning to extract audio track of language {language}") logging.debug( "Audio tracks:\n" + "\n".join([f" - {track['index']}: {track['codec']} {track['language']} {('default' if track['default'] else '')}" for track in audio_tracks]) ) if language is not None: audio_track = get_audio_track_by_language(audio_tracks, language) if audio_track is None: audio_track = audio_tracks[0] audio_bytes = extract_audio_track_to_memory(file_path, audio_track["index"]) if audio_bytes is None: logging.error(f"Failed to extract audio track {audio_track['index']} from {file_path}") return None return audio_bytes def extract_audio_track_to_memory(input_video_path, track_index) -> BytesIO | None: """ Extract a specific audio track from a video file to memory using FFmpeg. Args: input_video_path (str): The path to the video file. track_index (int): The index of the audio track to extract. If None, skip extraction. Returns: io.BytesIO | None: The audio data as a BytesIO object, or None if extraction failed. """ if track_index is None: logging.warning(f"Skipping audio track extraction for {input_video_path} because track index is None") return None try: # Use FFmpeg to extract the specific audio track and output to memory out, _ = ( ffmpeg.input(input_video_path) .output( "pipe:", # Direct output to a pipe map=f"0:{track_index}", # Select the specific audio track format="wav", # Output format ac=1, # Mono audio (optional) ar=16000, # Sample rate 16 kHz (recommended for speech models) loglevel="quiet" ) .run(capture_stdout=True, capture_stderr=True) # Capture output in memory ) # Return the audio data as a BytesIO object return BytesIO(out) except ffmpeg.Error as e: print("An error occurred:", e.stderr.decode()) return None def get_audio_track_by_language(audio_tracks, language): """ Returns the first audio track with the given language. Args: audio_tracks (list): A list of dictionaries containing information about each audio track. language (str): The language of the audio track to search for. Returns: dict: The first audio track with the given language, or None if no match is found. """ for track in audio_tracks: if track['language'] == language: return track return None def choose_transcribe_language(file_path, forced_language): """ Determines the language to be used for transcription based on the provided file path and language preferences. Args: file_path: The path to the file for which the audio tracks are analyzed. forced_language: The language to force for transcription if specified. Returns: The language code to be used for transcription. It prioritizes the `forced_language`, then the environment variable `force_detected_language_to`, then the preferred audio language if available, and finally the default language of the audio tracks. Returns None if no language preference is determined. """ logger.debug(f"choose_transcribe_language({file_path}, {forced_language})") if forced_language: logger.debug(f"ENV FORCE_LANGUAGE is set: Forcing language to {forced_language}") return forced_language if force_detected_language_to: logger.debug(f"ENV FORCE_DETECTED_LANGUAGE_TO is set: Forcing detected language to {force_detected_language_to}") return force_detected_language_to audio_tracks = get_audio_tracks(file_path) found_track_in_language = find_language_audio_track(audio_tracks, preferred_audio_languages) if found_track_in_language: language = found_track_in_language if language: logger.debug(f"Preferred language found: {language}") return language default_language = find_default_audio_track_language(audio_tracks) if default_language: logger.debug(f"Default language found: {default_language}") return default_language return LanguageCode.NONE def get_audio_tracks(video_file): """ Extracts information about the audio tracks in a file. Returns: List of dictionaries with information about each audio track. Each dictionary has the following keys: index (int): The stream index of the audio track. codec (str): The name of the audio codec. channels (int): The number of audio channels. language (LanguageCode): The language of the audio track. title (str): The title of the audio track. default (bool): Whether the audio track is the default for the file. forced (bool): Whether the audio track is forced. original (bool): Whether the audio track is the original. commentary (bool): Whether the audio track is a commentary. Example: >>> get_audio_tracks("french_movie_with_english_dub.mp4") [ { "index": 0, "codec": "dts", "channels": 6, "language": LanguageCode.FRENCH, "title": "French", "default": True, "forced": False, "original": True, "commentary": False }, { "index": 1, "codec": "aac", "channels": 2, "language": LanguageCode.ENGLISH, "title": "English", "default": False, "forced": False, "original": False, "commentary": False } ] Raises: ffmpeg.Error: If FFmpeg fails to probe the file. """ try: # Probe the file to get audio stream metadata probe = ffmpeg.probe(video_file, select_streams='a') audio_streams = probe.get('streams', []) # Extract information for each audio track audio_tracks = [] for stream in audio_streams: audio_track = { "index": int(stream.get("index", None)), "codec": stream.get("codec_name", "Unknown"), "channels": int(stream.get("channels", None)), "language": LanguageCode.from_iso_639_2(stream.get("tags", {}).get("language", "Unknown")), "title": stream.get("tags", {}).get("title", "None"), "default": stream.get("disposition", {}).get("default", 0) == 1, "forced": stream.get("disposition", {}).get("forced", 0) == 1, "original": stream.get("disposition", {}).get("original", 0) == 1, "commentary": "commentary" in stream.get("tags", {}).get("title", "").lower() } audio_tracks.append(audio_track) return audio_tracks except ffmpeg.Error as e: logging.error(f"FFmpeg error: {e.stderr}") return [] except Exception as e: logging.error(f"An error occurred while reading audio track information: {str(e)}") return [] def find_language_audio_track(audio_tracks, find_languages): """ Checks if an audio track with any of the given languages is present in the list of audio tracks. Returns the first language from `find_languages` that matches. Args: audio_tracks (list): A list of dictionaries containing information about each audio track. find_languages (list): A list language codes to search for. Returns: str or None: The first language found from `find_languages`, or None if no match is found. """ for language in find_languages: for track in audio_tracks: if track['language'] == language: return language return None def find_default_audio_track_language(audio_tracks): """ Finds the language of the default audio track in the given list of audio tracks. Args: audio_tracks (list): A list of dictionaries containing information about each audio track. Must contain the key "default" which is a boolean indicating if the track is the default track. Returns: str: The ISO 639-2 code of the language of the default audio track, or None if no default track was found. """ for track in audio_tracks: if track['default'] is True: return track['language'] return None def gen_subtitles_queue(file_path: str, transcription_type: str, force_language: LanguageCode = LanguageCode.NONE) -> None: global task_queue if not has_audio(file_path): logging.debug(f"{file_path} doesn't have any audio to transcribe!") return if transcription_type == 'translate': force_language = LanguageCode.from_string('eng') # if we are translating, then we must do it to english only else: force_language = choose_transcribe_language(file_path, force_language) # check if we would like to detect audio language in case of no audio language specified. Will return here again with specified language from whisper if not force_language and should_whiser_detect_audio_language: # make a detect language task task_id = { 'path': file_path, 'type': "detect_language" } task_queue.put(task_id) logging.debug(f"Added to queue: {task['path']} [Type: {task.get('type', 'transcribe')}]") return if should_skip_file(file_path, force_language): return task = { 'path': file_path, 'transcribe_or_translate': transcription_type, 'force_language': force_language } task['force_language'] = force_language task_queue.put(task) logging.info(f"task_queue.put(task)({task['path']}, {task['transcribe_or_translate']}, {task['force_language']})") def should_skip_file(file_path: str, transcribe_language: LanguageCode) -> bool: """Determine if subtitle generation should be skipped for a file.""" base_name = os.path.basename(file_path) file_name, file_ext = os.path.splitext(base_name) # 1. Check for existing LRC files for audio files if isAudioFileExtension(file_ext) and lrc_for_audio_files: lrc_path = f"{file_name}.lrc" if os.path.exists(lrc_path): logging.info(f"Skipping {base_name}: LRC file already exists at {lrc_path}") return True # 2. Skip if unknown language and configured to skip unknowns if skip_unknown_language and transcribe_language == LanguageCode.NONE: logging.info(f"Skipping {base_name}: Language detection failed (unknown language)") return True # 3. Check subtitle existence in target language if skip_if_to_transcribe_sub_already_exist: if has_subtitle_language(file_path, transcribe_language): lang_name = transcribe_language.to_name() lang_code = transcribe_language.to_iso_639_1() logging.info(f"Skipping {base_name}: Existing {lang_name} ({lang_code}) subtitles found") return True # 4. Check against internal subtitle skip list if skipifinternalsublang and has_subtitle_language(file_path, skipifinternalsublang): lang_name = skipifinternalsublang.to_name() lang_code = skipifinternalsublang.to_iso_639_1() logging.info(f"Skipping {base_name}: Internal {lang_name} ({lang_code}) subtitles present") return True # 5. Check for external subtitles in configured language if skipifexternalsub and LanguageCode.is_valid_language(namesublang): target_lang = LanguageCode.from_string(namesublang) if has_subtitle_language(file_path, target_lang): lang_name = target_lang.to_name() lang_code = target_lang.to_iso_639_1() logging.info(f"Skipping {base_name}: External {lang_name} ({lang_code}) subtitles exist") return True # 6. Check against global subtitle language skip list existing_sub_langs = get_subtitle_languages(file_path) for lang in existing_sub_langs: if lang in skip_lang_codes_list: lang_name = lang.to_name() lang_code = lang.to_iso_639_1() logging.info(f"Skipping {base_name}: Contains skipped subtitle language {lang_name} ({lang_code})") return True # 7. Audio language checks audio_langs = get_audio_languages(file_path) # 7a. Limit to preferred audio languages if limit_to_preferred_audio_languages: preferred_names = [lang.to_name() for lang in preferred_audio_languages] found_audio = any(lang in preferred_audio_languages for lang in audio_langs) if not found_audio: logging.info(f"Skipping {base_name}: No preferred audio tracks found (looking for {', '.join(preferred_names)})") return True # 7b. Check for audio languages in skip list for lang in audio_langs: if lang in skip_if_audio_track_is_in_list: lang_name = lang.to_name() lang_code = lang.to_iso_639_1() logging.info(f"Skipping {base_name}: Contains skipped audio language {lang_name} ({lang_code})") return True logging.debug(f"Proceeding with {base_name}: No skip conditions met (Language: {transcribe_language.to_name() if transcribe_language else 'auto-detect'})") return False def get_subtitle_languages(video_path): """ Extract language codes from each audio stream in the video file using pyav. :param video_path: Path to the video file :return: List of language codes for each subtitle stream """ languages = [] # Open the video file with av.open(video_path) as container: # Iterate through each audio stream for stream in container.streams.subtitles: # Access the metadata for each audio stream lang_code = stream.metadata.get('language') if lang_code: languages.append(LanguageCode.from_iso_639_2(lang_code)) else: # Append 'und' (undefined) if no language metadata is present languages.append(LanguageCode.NONE) return languages def get_file_name_without_extension(file_path): file_name, file_extension = os.path.splitext(file_path) return file_name def get_audio_languages(video_path): """ Extract language codes from each audio stream in the video file. :param video_path: Path to the video file :return: List of language codes for each audio stream """ audio_tracks = get_audio_tracks(video_path) return [track['language'] for track in audio_tracks] def has_subtitle_language(video_file, target_language: LanguageCode): """ Determines if a subtitle file with the target language is available for a specified video file. This function checks both within the video file and in its associated folder for subtitles matching the specified language. Args: video_file: The path to the video file. target_language: The language of the subtitle file to search for. Returns: bool: True if a subtitle file with the target language is found, False otherwise. """ return has_subtitle_language_in_file(video_file, target_language) or has_subtitle_of_language_in_folder(video_file, target_language) def has_subtitle_language_in_file(video_file: str, target_language: Union[LanguageCode, None]): """ Checks if a video file contains subtitles with a specific language. Args: video_file (str): The path to the video file. target_language (LanguageCode | None): The language of the subtitle file to search for. Returns: bool: True if a subtitle file with the target language is found, False otherwise. """ try: with av.open(video_file) as container: # Create a list of subtitle streams with 'language' metadata subtitle_streams = [ stream for stream in container.streams if stream.type == 'subtitle' and 'language' in stream.metadata ] # Skip logic if target_language is None if target_language is None: if skip_if_language_is_not_set_but_subtitles_exist and subtitle_streams: logging.debug("Language is not set, but internal subtitles exist.") return True if only_skip_if_subgen_subtitle: logging.debug("Skipping since only external subgen subtitles are considered.") return False # Skip if only looking for external subgen subtitles # Check if any subtitle stream matches the target language for stream in subtitle_streams: # Convert the subtitle stream's language to a LanguageCode instance and compare stream_language = LanguageCode.from_string(stream.metadata.get('language', '').lower()) if stream_language == target_language: logging.debug(f"Subtitles in '{target_language}' language found in the video.") return True logging.debug(f"No subtitles in '{target_language}' language found in the video.") return False except Exception as e: logging.error(f"An error occurred while checking the file with pyav: {type(e).__name__}: {e}") return False def has_subtitle_of_language_in_folder(video_file, target_language: LanguageCode, recursion = True): """Checks if the given folder has a subtitle file with the given language. Args: video_file: The path of the video file. target_language: The language of the subtitle file that we are looking for. recursion: If True, search in subfolders of the given folder. If False, only search in the given folder. Returns: True if a subtitle file with the given language is found in the folder, False otherwise. """ subtitle_extensions = ['.srt', '.vtt', '.sub', '.ass', '.ssa', '.idx', '.sbv', '.pgs', '.ttml', '.lrc'] # just get the name of the movie e.g. movie.2025.remastered video_file_stripped = os.path.splitext(os.path.split(video_file)[1])[0] folder_path = os.path.dirname(video_file) for file_name in os.listdir(folder_path): file_path = os.path.join(folder_path, file_name) if os.path.isfile(file_path): root, ext = os.path.splitext(file_name) if root.startswith(video_file_stripped) and ext.lower() in subtitle_extensions: parts = root[len(video_file_stripped):].lstrip(".").split(".") has_subgen = "subgen" in parts # Checks if "subgen" is in parts #checking this first because e.g LanguageCode.from_string("subgen") == LanguageCode.NONE is equal to True. Maybe handle this better with a check with a function like is language code. To check if part is a valid language before comparing it to target_language if target_language == LanguageCode.NONE: if only_skip_if_subgen_subtitle: if has_subgen: logger.debug("Subtitles from subgen found in the folder. ") return skip_if_language_is_not_set_but_subtitles_exist else: #might be other subtitles that have subgen in the name continue logger.debug("Subtitles exist in the folder. and only_skip_if_subgen_subtitle is False.") return skip_if_language_is_not_set_but_subtitles_exist if any(LanguageCode.from_string(part) == target_language for part in parts): # If the subtitle is found, return True if only_skip_if_subgen_subtitle: if has_subgen: logger.debug(f"Subtitles from subgen in '{target_language}' language found in the folder.") return True else: #might be other subtitles that have subgen in the name continue logger.debug(f"Subtitles in '{target_language}' language found in the folder.") return True elif os.path.isdir(file_path) and recursion: # Looking in the subfolders of the video for subtitles if has_subtitle_of_language_in_folder(os.path.join(file_path, os.path.split(video_file)[1]) , target_language, False): # If the language is found in the subfolders, return True return True # If the language is not found, return False return False def get_next_plex_episode(current_episode_rating_key): """ Get the next episode's ratingKey based on the current episode in Plex. Args: current_episode_rating_key (str): The ratingKey of the current episode. Returns: str: The ratingKey of the next episode, or None if it's the last episode. """ try: # Get current episode's metadata to fetch parent (season) ratingKey url = f"{plexserver}/library/metadata/{current_episode_rating_key}" headers = {"X-Plex-Token": plextoken} response = requests.get(url, headers=headers) response.raise_for_status() # Parse XML response root = ET.fromstring(response.content) # Find the show ID grandparent_rating_key = root.find(".//Video").get("grandparentRatingKey") if grandparent_rating_key is None: logging.debug(f"Show not found for episode {current_episode_rating_key}") return None # Find the parent season ratingKey parent_rating_key = root.find(".//Video").get("parentRatingKey") if parent_rating_key is None: logging.debug(f"Parent season not found for episode {current_episode_rating_key}") return None #parent_rating_key = 99707 # Get the list of seasons url = f"{plexserver}/library/metadata/{grandparent_rating_key}/children" response = requests.get(url, headers=headers) response.raise_for_status() seasons = ET.fromstring(response.content).findall(".//Directory[@type='season']") # Get the list of episodes in the parent season url = f"{plexserver}/library/metadata/{parent_rating_key}/children" response = requests.get(url, headers=headers) response.raise_for_status() #print(response.content) # Parse XML response for the list of episodes episodes = ET.fromstring(response.content).findall(".//Video") episodes_in_season = ET.fromstring(response.content).get('size') # Find the current episode index and get the next one current_episode_number = None current_season_number = None next_season_number = None for episode in episodes: rating_key_element = episode.get("ratingKey") if int(rating_key_element) == int(current_episode_rating_key): current_episode_number = episode.get("index") current_season_number = episode.get("parentIndex") if rating_key_element is None: logging.warning(f"ratingKey not found for episode at index") continue # Find next season if it exists for season in seasons: if int(season.get("index")) == int(current_season_number)+1: print(f"next season is: {episode.get('ratingKey')}") print(season.get("title")) next_season_number = season.get("ratingKey") #if current_episode_number == int( # Find next episode if int(current_episode_number) == int(episodes_in_season) and next_season_number is not None: logging.debug("At end of season, try to find next season and first episode.") url = f"{plexserver}/library/metadata/{next_season_number}/children" response = requests.get(url, headers=headers) response.raise_for_status() episodes = ET.fromstring(response.content).findall(".//Video") current_episode_number = 0 for episode in episodes: if int(episode.get("index")) == int(current_episode_number)+1: return episode.get("ratingKey") logging.debug(f"No next episode found for {get_plex_file_name(current_episode_rating_key, plexserver, plextoken)}, possibly end of season or series") return None except requests.exceptions.RequestException as e: logging.error(f"Error fetching data from Plex: {e}") return None except Exception as e: logging.error(f"An unexpected error occurred: {e}") return None def get_plex_file_name(itemid: str, server_ip: str, plex_token: str) -> str: """Gets the full path to a file from the Plex server. Args: itemid: The ID of the item in the Plex library. server_ip: The IP address of the Plex server. plex_token: The Plex token. Returns: The full path to the file. """ url = f"{server_ip}/library/metadata/{itemid}" headers = { "X-Plex-Token": plex_token, } response = requests.get(url, headers=headers) if response.status_code == 200: root = ET.fromstring(response.content) fullpath = root.find(".//Part").attrib['file'] return fullpath else: raise Exception(f"Error: {response.status_code}") def refresh_plex_metadata(itemid: str, server_ip: str, plex_token: str) -> None: """ Refreshes the metadata of a Plex library item. Args: itemid: The ID of the item in the Plex library whose metadata needs to be refreshed. server_ip: The IP address of the Plex server. plex_token: The Plex token used for authentication. Raises: Exception: If the server does not respond with a successful status code. """ # Plex API endpoint to refresh metadata for a specific item url = f"{server_ip}/library/metadata/{itemid}/refresh" # Headers to include the Plex token for authentication headers = { "X-Plex-Token": plex_token, } # Sending the PUT request to refresh metadata response = requests.put(url, headers=headers) # Check if the request was successful if response.status_code == 200: logging.info("Metadata refresh initiated successfully.") else: raise Exception(f"Error refreshing metadata: {response.status_code}") def refresh_jellyfin_metadata(itemid: str, server_ip: str, jellyfin_token: str) -> None: """ Refreshes the metadata of a Jellyfin library item. Args: itemid: The ID of the item in the Jellyfin library whose metadata needs to be refreshed. server_ip: The IP address of the Jellyfin server. jellyfin_token: The Jellyfin token used for authentication. Raises: Exception: If the server does not respond with a successful status code. """ # Jellyfin API endpoint to refresh metadata for a specific item url = f"{server_ip}/Items/{itemid}/Refresh" # Headers to include the Jellyfin token for authentication headers = { "Authorization": f"MediaBrowser Token={jellyfin_token}", } # Cheap way to get the admin user id, and save it for later use. users = json.loads(requests.get(f"{server_ip}/Users", headers=headers).content) jellyfin_admin = get_jellyfin_admin(users) response = requests.get(f"{server_ip}/Users/{jellyfin_admin}/Items/{itemid}/Refresh", headers=headers) # Sending the PUT request to refresh metadata response = requests.post(url, headers=headers) # Check if the request was successful if response.status_code == 204: logging.info("Metadata refresh queued successfully.") else: raise Exception(f"Error refreshing metadata: {response.status_code}") def get_jellyfin_file_name(item_id: str, jellyfin_url: str, jellyfin_token: str) -> str: """Gets the full path to a file from the Jellyfin server. Args: jellyfin_url: The URL of the Jellyfin server. jellyfin_token: The Jellyfin token. item_id: The ID of the item in the Jellyfin library. Returns: The full path to the file. """ headers = { "Authorization": f"MediaBrowser Token={jellyfin_token}", } # Cheap way to get the admin user id, and save it for later use. users = json.loads(requests.get(f"{jellyfin_url}/Users", headers=headers).content) jellyfin_admin = get_jellyfin_admin(users) response = requests.get(f"{jellyfin_url}/Users/{jellyfin_admin}/Items/{item_id}", headers=headers) if response.status_code == 200: file_name = json.loads(response.content)['Path'] return file_name else: raise Exception(f"Error: {response.status_code}") def get_jellyfin_admin(users): for user in users: if user["Policy"]["IsAdministrator"]: return user["Id"] raise Exception("Unable to find administrator user in Jellyfin") def has_audio(file_path): try: if not is_valid_path(file_path): return False if not (has_video_extension(file_path) or has_audio_extension(file_path)): # logging.debug(f"{file_path} is an not a video or audio file, skipping processing. skipping processing") return False with av.open(file_path) as container: # Check for an audio stream and ensure it has a valid codec for stream in container.streams: if stream.type == 'audio': # Check if the stream has a codec and if it is valid if stream.codec_context and stream.codec_context.name != 'none': return True else: logging.debug(f"Unsupported or missing codec for audio stream in {file_path}") return False except (av.FFmpegError, UnicodeDecodeError): logging.debug(f"Error processing file {file_path}") return False def is_valid_path(file_path): # Check if the path is a file if not os.path.isfile(file_path): # If it's not a file, check if it's a directory if not os.path.isdir(file_path): logging.warning(f"{file_path} is neither a file nor a directory. Are your volumes correct?") return False else: logging.debug(f"{file_path} is a directory, skipping processing as a file.") return False else: return True def has_video_extension(file_name): file_extension = os.path.splitext(file_name)[1].lower() # Get the file extension return file_extension in VIDEO_EXTENSIONS def has_audio_extension(file_name): file_extension = os.path.splitext(file_name)[1].lower() # Get the file extension return file_extension in AUDIO_EXTENSIONS def path_mapping(fullpath): if use_path_mapping: logging.debug("Updated path: " + fullpath.replace(path_mapping_from, path_mapping_to)) return fullpath.replace(path_mapping_from, path_mapping_to) return fullpath def is_file_stable(file_path, wait_time=2, check_intervals=3): """Returns True if the file size is stable for a given number of checks.""" if not os.path.exists(file_path): return False previous_size = -1 for _ in range(check_intervals): try: current_size = os.path.getsize(file_path) except OSError: return False # File might still be inaccessible if current_size == previous_size: return True # File is stable previous_size = current_size time.sleep(wait_time) return False # File is still changing if monitor: # Define a handler class that will process new files class NewFileHandler(FileSystemEventHandler): def create_subtitle(self, event): # Only process if it's a file if not event.is_directory: file_path = event.src_path if has_audio(file_path): logging.info(f"File: {path_mapping(file_path)} was added") gen_subtitles_queue(path_mapping(file_path), transcribe_or_translate) def handle_event(self, event): """Wait for stability before processing the file.""" file_path = event.src_path if is_file_stable(file_path): self.create_subtitle(event) def on_created(self, event): time.sleep(5) # Extra buffer time for new files self.handle_event(event) def on_modified(self, event): self.handle_event(event) def transcribe_existing(transcribe_folders, forceLanguage : LanguageCode | None = None): transcribe_folders = transcribe_folders.split("|") logging.info("Starting to search folders to see if we need to create subtitles.") logging.debug("The folders are:") for path in transcribe_folders: logging.debug(path) for root, dirs, files in os.walk(path): for file in files: file_path = os.path.join(root, file) gen_subtitles_queue(path_mapping(file_path), transcribe_or_translate, forceLanguage) # if the path specified was actually a single file and not a folder, process it if os.path.isfile(path): if has_audio(path): gen_subtitles_queue(path_mapping(path), transcribe_or_translate, forceLanguage) # Set up the observer to watch for new files if monitor: observer = Observer() for path in transcribe_folders: if os.path.isdir(path): handler = NewFileHandler() observer.schedule(handler, path, recursive=True) observer.start() logging.info("Finished searching and queueing files for transcription. Now watching for new files.") if __name__ == "__main__": import uvicorn logging.info(f"Subgen v{subgen_version}") logging.info(f"Threads: {str(whisper_threads)}, Concurrent transcriptions: {str(concurrent_transcriptions)}") logging.info(f"Transcribe device: {transcribe_device}, Model: {whisper_model}") os.environ["KMP_DUPLICATE_LIB_OK"]="TRUE" if transcribe_folders: transcribe_existing(transcribe_folders) uvicorn.run("__main__:app", host="0.0.0.0", port=int(webhookport), reload=reload_script_on_change, use_colors=True)