diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml new file mode 100644 index 0000000..795aba7 --- /dev/null +++ b/.github/workflows/ci.yml @@ -0,0 +1,46 @@ +name: CI + +"on": + pull_request: + push: + branches: + - main + workflow_dispatch: + +concurrency: + group: ci-${{ github.workflow }}-${{ github.ref }} + cancel-in-progress: true + +permissions: + contents: read + +jobs: + validate: + name: Lint, type-check, and tests + runs-on: ubuntu-latest + + steps: + - name: Checkout + uses: actions/checkout@v4 + + - name: Set up Python + uses: actions/setup-python@v5 + with: + python-version: "3.12" + + - name: Set up uv + uses: astral-sh/setup-uv@v5 + with: + enable-cache: true + + - name: Sync dependencies + run: uv sync --group dev + + - name: Ruff + run: uv run ruff check . + + - name: MyPy + run: uv run mypy src tests main.py h100_server.py + + - name: Pytest + run: uv run pytest -q diff --git a/README.md b/README.md index 38ab0f0..70edf51 100644 --- a/README.md +++ b/README.md @@ -6,13 +6,15 @@ Subtitle generation tools for live and archived streams. LiveVTT focuses on prod ### Requirements - Python 3.10+ +- `uv` CLI: used to sync and install dependencies. + - Install via `pip install uv` for Python environments. + - Or use `brew install uv` on macOS / Linux if available. + - See the official `uv` project page for more installation options: https://uv.run - FFmpeg + FFprobe: FFprobe is included with FFmpeg. Download from the [official FFmpeg site](https://ffmpeg.org/download.html). Install via `apt install ffmpeg` (Linux), `brew install ffmpeg` (macOS), or `choco install ffmpeg` (Windows). ### Install dependencies ```bash -python -m venv .venv -. .venv/bin/activate -pip install -r requirements.txt +uv sync ``` ### Transcribe archived media diff --git a/docs/CLOUD_GPU_SETUP.md b/docs/CLOUD_GPU_SETUP.md index 1da1439..4ba2532 100644 --- a/docs/CLOUD_GPU_SETUP.md +++ b/docs/CLOUD_GPU_SETUP.md @@ -77,7 +77,7 @@ On your current server with the video archive: ```bash # Install new dependencies -poetry install +uv sync --no-dev # Test connection to cloud GPU curl http://YOUR_CLOUD_GPU_IP:8000/health @@ -87,7 +87,7 @@ curl http://YOUR_CLOUD_GPU_IP:8000/health ### Step 3: Run Archive Transcription ```bash -poetry run python src/python/tools/archive_transcriber_remote.py \ +uv run python src/python/tools/archive_transcriber_remote.py \ --remote-url http://YOUR_CLOUD_GPU_IP:8000 \ --workers 4 \ --progress \ diff --git a/h100_server.py b/h100_server.py index 3ae19fa..5f77e72 100755 --- a/h100_server.py +++ b/h100_server.py @@ -11,9 +11,8 @@ import tempfile from typing import Any, Iterable, Optional, Protocol, cast -from flask import Flask, jsonify, request # type: ignore from faster_whisper import WhisperModel # type: ignore - +from flask import Flask, jsonify, request # type: ignore app: Flask = Flask(__name__) # type: ignore @@ -46,9 +45,7 @@ def get_model(model_name: str = "large-v3-turbo") -> WhisperModel: """Get or load a Whisper model""" if model_name not in MODELS: print(f"Loading model: {model_name}", flush=True) - MODELS[model_name] = WhisperModel( - model_name, device="cuda", compute_type="float16" - ) + MODELS[model_name] = WhisperModel(model_name, device="cuda", compute_type="float16") print(f"Model loaded: {model_name}", flush=True) return MODELS[model_name] @@ -59,9 +56,7 @@ def parse_beam_size(value: Any) -> int: except (TypeError, ValueError) as exc: raise ValueError("beam_size must be an integer") from exc if beam_size < MIN_BEAM_SIZE or beam_size > MAX_BEAM_SIZE: - raise ValueError( - f"beam_size must be between {MIN_BEAM_SIZE} and {MAX_BEAM_SIZE}" - ) + raise ValueError(f"beam_size must be between {MIN_BEAM_SIZE} and {MAX_BEAM_SIZE}") return beam_size diff --git a/main.py b/main.py index 0dd37de..9e4f4ed 100644 --- a/main.py +++ b/main.py @@ -1,23 +1,22 @@ import argparse import asyncio +import copy +import json import logging +import os +import shutil import signal import socket -import json +import sys +import threading +from datetime import datetime, timedelta +from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer +from typing import Any, Iterable, Optional, Protocol, Tuple, cast import aiofiles.tempfile # type: ignore[import-untyped] import aiohttp import m3u8 -import os -import sys -import shutil -import copy -import threading - -from datetime import timedelta, datetime -from typing import Any, Iterable, Protocol, Tuple, cast, Optional from faster_whisper import WhisperModel # type: ignore -from http.server import ThreadingHTTPServer, BaseHTTPRequestHandler from faster_whisper.utils import available_models # type: ignore from m3u8 import PlaylistList, SegmentList @@ -72,19 +71,21 @@ class SegmentLike(Protocol): def segments_to_srt(segments: Iterable[SegmentLike], ts_offset: timedelta) -> str: base_ts = datetime(1970, 1, 1, 0, 0, 0) + ts_offset - segment_chunks = [ - f"{i + 1}\n{(base_ts + timedelta(seconds=segment.start)).strftime('%H:%M:%S,%f')[:-3]} --> {(base_ts + timedelta(seconds=segment.end)).strftime('%H:%M:%S,%f')[:-3]}\n{segment.text}" - for i, segment in enumerate(segments) - ] + segment_chunks: list[str] = [] + for i, segment in enumerate(segments): + start_str = (base_ts + timedelta(seconds=segment.start)).strftime("%H:%M:%S,%f")[:-3] + end_str = (base_ts + timedelta(seconds=segment.end)).strftime("%H:%M:%S,%f")[:-3] + segment_chunks.append(f"{i + 1}\n{start_str} --> {end_str}\n{segment.text}") return "\n\n".join(segment_chunks) def segments_to_webvtt(segments: Iterable[SegmentLike], ts_offset: timedelta) -> str: base_ts = datetime(1970, 1, 1, 0, 0, 0) + ts_offset - segment_chunks = [ - f"{i + 1}\n{(base_ts + timedelta(seconds=segment.start)).strftime('%H:%M:%S.%f')[:-3]} --> {(base_ts + timedelta(seconds=segment.end)).strftime('%H:%M:%S.%f')[:-3]}\n{segment.text}" - for i, segment in enumerate(segments) - ] + segment_chunks: list[str] = [] + for i, segment in enumerate(segments): + start_str = (base_ts + timedelta(seconds=segment.start)).strftime("%H:%M:%S.%f")[:-3] + end_str = (base_ts + timedelta(seconds=segment.end)).strftime("%H:%M:%S.%f")[:-3] + segment_chunks.append(f"{i + 1}\n{start_str} --> {end_str}\n{segment.text}") return "WEBVTT\n\n" + "\n\n".join(segment_chunks) @@ -142,15 +143,9 @@ def _handle_request(self, send_body: bool = True) -> None: shutil.copyfileobj(f, self.wfile) return - elif ( - self.path in chunk_to_vtt - or self.path in chunk_to_vtt_trans - or self.path in chunk_to_vtt_orig - ): + elif self.path in chunk_to_vtt or self.path in chunk_to_vtt_trans or self.path in chunk_to_vtt_orig: vtt_content = ( - chunk_to_vtt.get(self.path) - or chunk_to_vtt_trans.get(self.path) - or chunk_to_vtt_orig.get(self.path) + chunk_to_vtt.get(self.path) or chunk_to_vtt_trans.get(self.path) or chunk_to_vtt_orig.get(self.path) ) if vtt_content is not None: response_content = bytes(vtt_content, "utf-8") @@ -158,9 +153,7 @@ def _handle_request(self, send_body: bool = True) -> None: self.send_response(200 if response_content else 404) if self.path.endswith(".m3u8"): - self.send_header( - "Content-Type", "application/vnd.apple.mpegurl; charset=utf-8" - ) + self.send_header("Content-Type", "application/vnd.apple.mpegurl; charset=utf-8") elif self.path.endswith(".vtt"): self.send_header("Content-Type", "text/vtt; charset=utf-8") @@ -209,7 +202,8 @@ def check_bindeps_present(): for required_binary in required_binaries: if not shutil.which(required_binary): logger.error( - f"{required_binary} binary not found. Check your platform PATH and ensure that you've installed the required packages." + f"{required_binary} binary not found. Check your platform PATH " + "and ensure that you've installed the required packages." ) sys.exit(1) @@ -228,18 +222,14 @@ async def download_chunk( if chunk_uri not in translated_chunk_paths: logger.info(f"Downloading segment {chunk_uri}...") try: - async with aiofiles.tempfile.NamedTemporaryFile( - dir=chunk_dir, delete=False, suffix=".ts" - ) as chunk_fp: + async with aiofiles.tempfile.NamedTemporaryFile(dir=chunk_dir, delete=False, suffix=".ts") as chunk_fp: async with session.get(chunk_url, raise_for_status=True) as response: async for chunk in response.content.iter_chunked(16384): await chunk_fp.write(chunk) await chunk_fp.close() except aiohttp.ClientError as e: - logger.error( - f"Failed to download chunk {chunk_uri}, stream may skip...", exc_info=e - ) + logger.error(f"Failed to download chunk {chunk_uri}, stream may skip...", exc_info=e) raise e else: logger.info(f"Downloaded segment {chunk_uri}") @@ -273,25 +263,23 @@ def load_custom_vocabulary(language: str, vocabulary_file: Optional[str] = None) data = json.load(f) # Process custom vocabulary if it exists - if "custom_vocabulary" in data and isinstance( - data["custom_vocabulary"], dict - ): + if "custom_vocabulary" in data and isinstance(data["custom_vocabulary"], dict): vocab_dict = data["custom_vocabulary"] - if language in vocab_dict and isinstance( - vocab_dict[language], list - ): + if language in vocab_dict and isinstance(vocab_dict[language], list): custom_vocabulary = vocab_dict[language] # Generate initial prompt for Whisper with the vocabulary words quoted_terms = [f'"{term}"' for term in custom_vocabulary] initial_prompt_text = ( - "The following terms may appear in this audio: " - + ", ".join(quoted_terms) - + "." + "The following terms may appear in this audio: " + ", ".join(quoted_terms) + "." ) + joined_terms = ", ".join(custom_vocabulary) logger.info( - f"Custom vocabulary loaded for language '{language}' with {len(custom_vocabulary)} terms: {', '.join(custom_vocabulary)}" + "Custom vocabulary loaded for language '%s' with %d terms: %s", + language, + len(custom_vocabulary), + joined_terms, ) logger.debug(f"Initial prompt: {initial_prompt_text}") else: @@ -310,9 +298,7 @@ def load_custom_vocabulary(language: str, vocabulary_file: Optional[str] = None) # No vocabulary file - disable custom_vocabulary = [] initial_prompt_text = "" - logger.info( - f"Vocabulary file '{vocab_file_path}' not found - custom vocabulary disabled" - ) + logger.info(f"Vocabulary file '{vocab_file_path}' not found - custom vocabulary disabled") except Exception as e: logger.error(f"Failed to load custom vocabulary: {e}") custom_vocabulary = [] @@ -327,9 +313,7 @@ def should_filter_segment(text: str) -> bool: raw_filter_words = filter_dict.get("filter_words", []) if not isinstance(raw_filter_words, list): return False - filter_words = [ - word for word in cast(list[object], raw_filter_words) if isinstance(word, str) - ] + filter_words = [word for word in cast(list[object], raw_filter_words) if isinstance(word, str)] return any(word.lower() in text for word in filter_words) @@ -361,9 +345,7 @@ async def transcribe_chunk( loop = asyncio.get_running_loop() # Add custom vocabulary initial prompt if available - initial_prompt = ( - initial_prompt_text if initial_prompt_text and not args.debug else None - ) + initial_prompt = initial_prompt_text or None if initial_prompt: logger.debug(f"Using initial prompt for transcription: {initial_prompt}") @@ -401,23 +383,15 @@ async def transcribe_chunk( segments_trans = list(cast(Iterable[SegmentLike], segments_trans_raw)) # Filter segments - segments_orig = [ - seg for seg in segments_orig if not should_filter_segment(seg.text) - ] - segments_trans = [ - seg for seg in segments_trans if not should_filter_segment(seg.text) - ] + segments_orig = [seg for seg in segments_orig if not should_filter_segment(seg.text)] + segments_trans = [seg for seg in segments_trans if not should_filter_segment(seg.text)] if not args.hard_subs and not args.embedded_subs: vtt_uri = os.path.splitext(segment_uri)[0] if segments_orig: # Only add if there are segments after filtering - chunk_to_vtt_orig[vtt_uri + ".orig.vtt"] = segments_to_webvtt( - segments_orig, start_ts - ) + chunk_to_vtt_orig[vtt_uri + ".orig.vtt"] = segments_to_webvtt(segments_orig, start_ts) if segments_trans: # Only add if there are segments after filtering - chunk_to_vtt_trans[vtt_uri + ".trans.vtt"] = segments_to_webvtt( - segments_trans, start_ts - ) + chunk_to_vtt_trans[vtt_uri + ".trans.vtt"] = segments_to_webvtt(segments_trans, start_ts) return segment_uri, chunk_name else: # Original behavior with filtering @@ -447,9 +421,7 @@ async def transcribe_chunk( logger.info(f"Starting embedded subtitles processing for {segment_uri}") # Embedded subtitles logic if args.both_tracks: - logger.info( - f"Both tracks mode: orig={len(segments_orig)}, trans={len(segments_trans)}" - ) + logger.info(f"Both tracks mode: orig={len(segments_orig)}, trans={len(segments_trans)}") # Both tracks mode: embed both original and translated subtitles if segments_orig or segments_trans: srt_files: list[str] = [] @@ -501,13 +473,9 @@ async def transcribe_chunk( # Encoding options for subtitle stream if args.mp4_container: - ffmpeg_cmd.extend( - ["-c:v", "copy", "-c:a", "copy", "-c:s", "mov_text"] - ) + ffmpeg_cmd.extend(["-c:v", "copy", "-c:a", "copy", "-c:s", "mov_text"]) else: - ffmpeg_cmd.extend( - ["-c:v", "copy", "-c:a", "copy", "-c:s", "dvb_subtitle"] - ) + ffmpeg_cmd.extend(["-c:v", "copy", "-c:a", "copy", "-c:s", "dvb_subtitle"]) # Add language metadata and subtitle disposition if segments_orig: @@ -526,12 +494,8 @@ async def transcribe_chunk( ) subtitle_stream_idx += 1 if segments_trans: - ffmpeg_cmd.extend( - ["-metadata:s:s:" + str(subtitle_stream_idx), "language=eng"] - ) - ffmpeg_cmd.extend( - ["-metadata:s:s:" + str(subtitle_stream_idx), "title=English"] - ) + ffmpeg_cmd.extend(["-metadata:s:s:" + str(subtitle_stream_idx), "language=eng"]) + ffmpeg_cmd.extend(["-metadata:s:s:" + str(subtitle_stream_idx), "title=English"]) # Output options with TS-specific parameters for live streaming chunk_fp_name_split = os.path.splitext(chunk_name) @@ -556,9 +520,7 @@ async def transcribe_chunk( ] ) else: - embedded_chunk_name = ( - chunk_fp_name_split[0] + "_embedded" + chunk_fp_name_split[1] - ) + embedded_chunk_name = chunk_fp_name_split[0] + "_embedded" + chunk_fp_name_split[1] ffmpeg_cmd.extend( [ "-bsf:a", @@ -591,17 +553,11 @@ async def transcribe_chunk( if args.debug: logger.debug(f"Full FFmpeg command: {' '.join(ffmpeg_cmd)}") else: - logger.info( - f"Executing FFmpeg for embedded subtitles: {' '.join(ffmpeg_cmd[:10])}..." - ) - ffmpeg_proc = await asyncio.create_subprocess_exec( - *ffmpeg_cmd, stderr=asyncio.subprocess.PIPE - ) + logger.info(f"Executing FFmpeg for embedded subtitles: {' '.join(ffmpeg_cmd[:10])}...") + ffmpeg_proc = await asyncio.create_subprocess_exec(*ffmpeg_cmd, stderr=asyncio.subprocess.PIPE) _, stderr = await ffmpeg_proc.communicate() if ffmpeg_proc.returncode != 0: - logger.error( - f"FFmpeg failed for {segment_uri} with return code {ffmpeg_proc.returncode}" - ) + logger.error(f"FFmpeg failed for {segment_uri} with return code {ffmpeg_proc.returncode}") if stderr: logger.error(f"FFmpeg stderr: {stderr.decode()}") else: @@ -631,19 +587,13 @@ async def transcribe_chunk( "quiet", ] if args.debug: - logger.debug( - f"Generating init.mp4: {' '.join(init_cmd)}" - ) - init_proc = await asyncio.create_subprocess_exec( - *init_cmd - ) + logger.debug(f"Generating init.mp4: {' '.join(init_cmd)}") + init_proc = await asyncio.create_subprocess_exec(*init_cmd) await init_proc.communicate() if init_proc.returncode == 0 and init_segment_path: if os.path.exists(init_segment_path): init_segment_created = True - logger.info( - "init.mp4 generated and ready to serve" - ) + logger.info("init.mp4 generated and ready to serve") except Exception as e: logger.error(f"Failed to generate init.mp4: {e}") # Verify the output file has subtitle streams @@ -667,12 +617,15 @@ async def transcribe_chunk( probe_data = json.loads(stdout.decode()) subtitle_streams = [ - s - for s in probe_data.get("streams", []) - if s.get("codec_type") == "subtitle" + s for s in probe_data.get("streams", []) if s.get("codec_type") == "subtitle" + ] + subtitle_languages = [ + s.get("tags", {}).get("language", "unknown") for s in subtitle_streams ] logger.debug( - f"Embedded file has {len(subtitle_streams)} subtitle streams: {[s.get('tags', {}).get('language', 'unknown') for s in subtitle_streams]}" + "Embedded file has %d subtitle streams: %s", + len(subtitle_streams), + subtitle_languages, ) except Exception as e: logger.debug(f"Failed to verify embedded subtitles: {e}") @@ -690,23 +643,17 @@ async def transcribe_chunk( logger.info(f"Single track mode: segments={len(segments)}") # Single track mode: embed one subtitle track if segments: - async with aiofiles.tempfile.NamedTemporaryFile( - dir=chunk_dir, delete=False, suffix=".srt" - ) as srt_file: + async with aiofiles.tempfile.NamedTemporaryFile(dir=chunk_dir, delete=False, suffix=".srt") as srt_file: srt_content = segments_to_srt(segments, start_ts) await srt_file.write(bytes(srt_content, "utf-8")) await srt_file.close() srt_file_name = cast(str, srt_file.name) chunk_fp_name_split = os.path.splitext(chunk_name) - embedded_chunk_name = ( - chunk_fp_name_split[0] + "_embedded" + chunk_fp_name_split[1] - ) + embedded_chunk_name = chunk_fp_name_split[0] + "_embedded" + chunk_fp_name_split[1] # Determine language for metadata - lang_code = ( - "eng" if not args.transcribe else (args.language or "eng") - ) + lang_code = "eng" if not args.transcribe else (args.language or "eng") ffmpeg_cmd_embedded: list[str] = [ "ffmpeg", @@ -772,13 +719,9 @@ async def transcribe_chunk( ] if args.debug: - logger.debug( - f"🔧 Full single track FFmpeg command: {' '.join(ffmpeg_cmd_embedded)}" - ) + logger.debug(f"🔧 Full single track FFmpeg command: {' '.join(ffmpeg_cmd_embedded)}") else: - logger.info( - f"🔧 Executing single track FFmpeg: {' '.join(ffmpeg_cmd_embedded[:8])}..." - ) + logger.info(f"🔧 Executing single track FFmpeg: {' '.join(ffmpeg_cmd_embedded[:8])}...") ffmpeg_proc = await asyncio.create_subprocess_exec( *ffmpeg_cmd_embedded, stderr=asyncio.subprocess.PIPE ) @@ -788,18 +731,14 @@ async def transcribe_chunk( f"Single track FFmpeg failed for {segment_uri} with return code {ffmpeg_proc.returncode}" ) if stderr: - logger.error( - f"Single track FFmpeg stderr: {stderr.decode()}" - ) + logger.error(f"Single track FFmpeg stderr: {stderr.decode()}") else: logger.info(f"Single track FFmpeg completed for {segment_uri}") # Generate init.mp4 only once when using fragmented MP4 segments if args.mp4_container: if not init_segment_created: try: - init_segment_path = os.path.join( - chunk_dir, "init.mp4" - ) + init_segment_path = os.path.join(chunk_dir, "init.mp4") init_cmd_embedded: list[str] = [ "ffmpeg", "-i", @@ -820,19 +759,13 @@ async def transcribe_chunk( "quiet", ] if args.debug: - logger.debug( - f"Generating init.mp4: {' '.join(init_cmd_embedded)}" - ) - init_proc = await asyncio.create_subprocess_exec( - *init_cmd_embedded - ) + logger.debug(f"Generating init.mp4: {' '.join(init_cmd_embedded)}") + init_proc = await asyncio.create_subprocess_exec(*init_cmd_embedded) await init_proc.communicate() if init_proc.returncode == 0 and init_segment_path: if os.path.exists(init_segment_path): init_segment_created = True - logger.info( - "init.mp4 generated and ready to serve" - ) + logger.info("init.mp4 generated and ready to serve") except Exception as e: logger.error(f"Failed to generate init.mp4: {e}") @@ -849,14 +782,8 @@ async def transcribe_chunk( if args.hard_subs: # Original hard subs logic with filtering - async with aiofiles.tempfile.NamedTemporaryFile( - dir=chunk_dir, delete=False, suffix=".srt" - ) as srt_file: + async with aiofiles.tempfile.NamedTemporaryFile(dir=chunk_dir, delete=False, suffix=".srt") as srt_file: segments_to_use = segments if not args.both_tracks else segments_trans - segments_to_use = [ - seg for seg in segments_to_use if not should_filter_segment(seg.text) - ] - srt_content = segments_to_srt(segments_to_use, start_ts) if not srt_content: return segment_uri, chunk_name @@ -865,9 +792,7 @@ async def transcribe_chunk( await srt_file.close() srt_file_name = cast(str, srt_file.name) chunk_fp_name_split = os.path.splitext(chunk_name) - translated_chunk_name = ( - chunk_fp_name_split[0] + "_trans" + chunk_fp_name_split[1] - ) + translated_chunk_name = chunk_fp_name_split[0] + "_trans" + chunk_fp_name_split[1] ffmpeg_sub_proc = await asyncio.create_subprocess_exec( "ffmpeg", @@ -1053,15 +978,16 @@ async def main(): default=True, ) - parser.add_argument( - "-d", "--debug", action="store_true", help="Enable debug logging" - ) + parser.add_argument("-d", "--debug", action="store_true", help="Enable debug logging") # New: option to embed subtitles in fragmented MP4 with mov_text codec parser.add_argument( "--mp4-container", action="store_true", - help="(experimental, with --embedded-subs) Output each processed segment as fragmented MP4 containing mov_text subtitles instead of MPEG-TS.", + help=( + "(experimental, with --embedded-subs) Output each processed segment " + "as fragmented MP4 containing mov_text subtitles instead of MPEG-TS." + ), ) args = parser.parse_args() @@ -1076,15 +1002,14 @@ async def main(): subtitle_modes = sum([args.hard_subs, args.embedded_subs]) if subtitle_modes > 1: logger.error( - "Cannot use multiple subtitle modes simultaneously. Choose only one of: --hard-subs, --embedded-subs, or default (WebVTT sidecar)" + "Cannot use multiple subtitle modes simultaneously. Choose only one of: " + "--hard-subs, --embedded-subs, or default (WebVTT sidecar)" ) sys.exit(1) # Validate mp4 container usage if args.mp4_container and not args.embedded_subs: - logger.error( - "--mp4-container can only be used together with --embedded-subs mode" - ) + logger.error("--mp4-container can only be used together with --embedded-subs mode") sys.exit(1) # Set logging level based on debug flag @@ -1124,9 +1049,7 @@ async def main(): else: compute_type = "int8" - logger.info( - f"Using {device} as the device type for the model with compute_type={compute_type}" - ) + logger.info(f"Using {device} as the device type for the model with compute_type={compute_type}") model = WhisperModel(args.model, device=device, compute_type=compute_type) @@ -1149,9 +1072,7 @@ async def main(): reverse=True, )[0] base_playlist.playlists = PlaylistList([cast(Any, highest_bitrate_stream)]) - stream_uri = ( - cast(Optional[str], highest_bitrate_stream.absolute_uri) or args.url - ) + stream_uri = cast(Optional[str], highest_bitrate_stream.absolute_uri) or args.url else: # Media playlist - use it directly logger.info("Direct media playlist detected, using stream directly") @@ -1161,14 +1082,10 @@ async def main(): # Ensure HLS version is high enough for fMP4 / EXT-X-MAP when mp4 container is used if args.mp4_container: - modified_base_playlist.version = str( - max(7, parse_m3u8_version(modified_base_playlist.version)) - ) + modified_base_playlist.version = str(max(7, parse_m3u8_version(modified_base_playlist.version))) else: # Keep at least version 5 for subtitle support in TS mode - modified_base_playlist.version = str( - max(5, parse_m3u8_version(modified_base_playlist.version)) - ) + modified_base_playlist.version = str(max(5, parse_m3u8_version(modified_base_playlist.version))) # Only modify playlist URI if it's a master playlist if modified_base_playlist.playlists: @@ -1182,11 +1099,7 @@ async def main(): if codecs_value and "tx3g" not in codecs_value: variant.stream_info.codecs = f"{codecs_value},tx3g" - if ( - not args.hard_subs - and not args.embedded_subs - and modified_base_playlist.playlists - ): + if not args.hard_subs and not args.embedded_subs and modified_base_playlist.playlists: # Only add subtitle tracks for master playlists when using WebVTT sidecar mode if args.both_tracks: # Add both subtitle tracks with language-specific URI naming @@ -1256,9 +1169,7 @@ def schedule_cleanup() -> None: nonlocal cleanup_task if cleanup_task is not None and not cleanup_task.done(): return - cleanup_task = asyncio.create_task( - cleanup(session, chunk_dir, prev_cwd, stop_event) - ) + cleanup_task = asyncio.create_task(cleanup(session, chunk_dir, prev_cwd, stop_event)) # Set up signal handlers for sig in (signal.SIGINT, signal.SIGTERM): @@ -1271,43 +1182,27 @@ def schedule_cleanup() -> None: sleep_duration = chunk_list.target_duration or 10 if chunk_list.target_duration: - if int(MAX_TARGET_BUFFER_SECS / chunk_list.target_duration) < len( - chunk_list.segments - ): + if int(MAX_TARGET_BUFFER_SECS / chunk_list.target_duration) < len(chunk_list.segments): chunk_list.segments = SegmentList( - chunk_list.segments[ - -int(TARGET_BUFFER_SECS / chunk_list.target_duration) : - ] + chunk_list.segments[-int(TARGET_BUFFER_SECS / chunk_list.target_duration) :] ) - chunk_list.media_sequence = chunk_list.segments[ - 0 - ].media_sequence + chunk_list.media_sequence = chunk_list.segments[0].media_sequence if chunk_list.program_date_time: - chunk_list.program_date_time = chunk_list.segments[ - 0 - ].current_program_date_time + chunk_list.program_date_time = chunk_list.segments[0].current_program_date_time current_segments = [ - normalise_chunk_uri(ensure_segment_uri(segment.uri)) - for segment in chunk_list.segments + normalise_chunk_uri(ensure_segment_uri(segment.uri)) for segment in chunk_list.segments ] - for translated_chunk_name, translated_chunk_path in dict( - translated_chunk_paths - ).items(): + for translated_chunk_name, translated_chunk_path in dict(translated_chunk_paths).items(): if translated_chunk_name not in current_segments: os.unlink(translated_chunk_path) del translated_chunk_paths[translated_chunk_name] if not args.hard_subs: - for translated_uri, translated_chunk_path in dict( - chunk_to_vtt - ).items(): - if ( - os.path.splitext(translated_uri)[0] + container_ext - not in current_segments - ): + for translated_uri, translated_chunk_path in dict(chunk_to_vtt).items(): + if os.path.splitext(translated_uri)[0] + container_ext not in current_segments: del chunk_to_vtt[translated_uri] chunks_to_translate: dict[str, str] = {} @@ -1315,9 +1210,7 @@ def schedule_cleanup() -> None: for i, chunk_name in enumerate( await asyncio.gather( *[ - download_chunk( - session, chunk_list.base_uri, segment, chunk_dir - ) + download_chunk(session, chunk_list.base_uri, segment, chunk_dir) for segment in chunk_list.segments ], return_exceptions=True, @@ -1334,9 +1227,7 @@ def schedule_cleanup() -> None: for segment_uri, chunk_name in await asyncio.gather( *[ - transcribe_chunk( - args, model, chunk_dir, segment_uri, chunk_name - ) + transcribe_chunk(args, model, chunk_dir, segment_uri, chunk_name) for segment_uri, chunk_name in chunks_to_translate.items() ] ): @@ -1345,22 +1236,16 @@ def schedule_cleanup() -> None: for segment in chunk_list.segments: segment_uri = ensure_segment_uri(segment.uri) segment_name = normalise_chunk_uri(segment_uri) - segment.uri = segment_name.lstrip( - "/" - ) # Remove leading slash for relative path + segment.uri = segment_name.lstrip("/") # Remove leading slash for relative path global chunk_list_ser # Ensure media playlist version supports EXT-X-MAP when using fMP4 if args.mp4_container: - chunk_list.version = str( - max(7, parse_m3u8_version(chunk_list.version)) - ) + chunk_list.version = str(max(7, parse_m3u8_version(chunk_list.version))) else: # HLS with WebVTT requires at least version 4 - chunk_list.version = str( - max(4, parse_m3u8_version(chunk_list.version)) - ) + chunk_list.version = str(max(4, parse_m3u8_version(chunk_list.version))) playlist_str = chunk_list.dumps() # Inject EXT-X-MAP for mp4 container @@ -1396,16 +1281,12 @@ def schedule_cleanup() -> None: for segment in trans_chunk_list.segments: segment_uri = ensure_segment_uri(segment.uri) - subtitle_name = ( - os.path.splitext(segment_uri)[0] + ".trans.vtt" - ) + subtitle_name = os.path.splitext(segment_uri)[0] + ".trans.vtt" segment.uri = subtitle_name for segment in orig_chunk_list.segments: segment_uri = ensure_segment_uri(segment.uri) - 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{ include = "python", from = "src" } +requires-python = ">=3.10" +dependencies = [ + "faster-whisper", + "m3u8", + "aiohttp[speedups]", + "numpy>=1.26,<2.0", + "aiofiles", + "hf_xet", + "tqdm", + "fastapi", + "uvicorn[standard]", + "requests", + "websockets", + "torch>=2.11.0,<2.12.0", ] -[project] -name = "livevtt" -version = "0.1.0" -requires-python = ">=3.10,<4.0" - -[tool.poetry.dependencies] -python = "^3.10" -faster-whisper = "*" -m3u8 = "*" -aiohttp = {extras = ["speedups"], version = "*"} -numpy = ">=1.26,<2.0" -aiofiles = "*" -hf_xet = "*" -tqdm = "*" -fastapi = "*" -uvicorn = {extras = ["standard"], version = "*"} -requests = "*" - -websockets = "*" -torch = "*" - -[tool.poetry.group.dev.dependencies] -pytest = "^7.4.0" -pytest-asyncio = "^0.21.0" -pytest-cov = "^4.1.0" -black = "^23.7.0" -isort = "^5.12.0" -mypy = "^1.4.0" -flake8 = "^6.0.0" -ruff = "^0.8.0" +[dependency-groups] +dev = [ + "pytest>=7.4.0", + "pytest-asyncio>=0.21.0", + "pytest-cov>=4.1.0", + "mypy>=1.4.0", + "ruff>=0.8.0", + "types-requests>=2.32.0.20241016", +] -[tool.poetry.scripts] +[project.scripts] archive_transcriber = "python.tools.archive_transcriber:main" vtt_to_ttml = "python.tools.vtt_to_ttml:main" caption_sender = "python.tools.caption_sender:main" -[tool.black] +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.hatch.build.targets.wheel] +packages = ["src/python"] + +[tool.ruff] line-length = 120 -target-version = ["py310"] +target-version = "py310" -[tool.isort] -profile = "black" -line_length = 120 +[tool.ruff.lint] +select = ["E", "F", "W", "I"] [tool.pytest.ini_options] testpaths = ["tests"] @@ -68,7 +64,3 @@ warn_return_any = true warn_unused_configs = true disallow_untyped_defs = false ignore_missing_imports = true - -[build-system] -requires = ["poetry-core>=1.0.0"] -build-backend = "poetry.core.masonry.api" diff --git a/requirements.txt b/requirements.txt index 65590bb..9a9c3f6 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,11 +1,265 @@ -faster-whisper -m3u8 -aiohttp[speedups] -# Python 3.12 requires numpy 1.26+ (wheels available). Keep upper bound below 2.0 for compatibility. -numpy>=1.26,<2.0 -aiofiles -hf_xet -tqdm -asyncio -websockets -torch \ No newline at end of file +# This file was autogenerated by uv via the following command: +# uv export --no-dev --no-hashes --no-emit-project -o requirements.txt +aiodns==4.0.0 + # via aiohttp +aiofiles==25.1.0 + # via livevtt +aiohappyeyeballs==2.6.1 + # via aiohttp +aiohttp==3.13.5 + # via livevtt +aiosignal==1.4.0 + # via aiohttp +annotated-doc==0.0.4 + # via + # fastapi + # typer +annotated-types==0.7.0 + # via pydantic +anyio==4.13.0 + # via + # httpx + # starlette + # watchfiles +async-timeout==5.0.1 ; python_full_version < '3.11' + # via aiohttp +attrs==26.1.0 + # via aiohttp +av==17.0.0 + # via faster-whisper +backports-datetime-fromisoformat==2.0.3 ; python_full_version < '3.11' + # via m3u8 +backports-zstd==1.3.0 ; python_full_version < '3.14' and platform_python_implementation == 'CPython' + # via aiohttp +brotli==1.2.0 ; platform_python_implementation == 'CPython' + # via aiohttp +brotlicffi==1.2.0.1 ; platform_python_implementation != 'CPython' + # via aiohttp +certifi==2026.2.25 + # via + # httpcore + # httpx + # requests +cffi==2.0.0 + # via + # brotlicffi + # pycares +charset-normalizer==3.4.7 + # via requests +click==8.3.2 + # via + # typer + # uvicorn +colorama==0.4.6 ; sys_platform == 'win32' + # via + # click + # tqdm + # uvicorn +ctranslate2==4.7.1 + # via faster-whisper +cuda-bindings==13.2.0 ; sys_platform == 'linux' + # via torch +cuda-pathfinder==1.5.3 ; sys_platform == 'linux' + # via cuda-bindings +cuda-toolkit==13.0.2 ; sys_platform == 'linux' + # via torch +exceptiongroup==1.3.1 ; python_full_version < '3.11' + # via anyio +fastapi==0.136.0 + # via livevtt +faster-whisper==1.2.1 + # via livevtt +filelock==3.28.0 + # via + # huggingface-hub + # torch +flatbuffers==25.12.19 + # via onnxruntime +frozenlist==1.8.0 + # via + # aiohttp + # aiosignal +fsspec==2026.3.0 + # via + # huggingface-hub + # torch +h11==0.16.0 + # via + # httpcore + # uvicorn +hf-xet==1.4.3 + # via + # huggingface-hub + # livevtt +httpcore==1.0.9 + # via httpx +httptools==0.7.1 + # via uvicorn +httpx==0.28.1 + # via huggingface-hub +huggingface-hub==1.11.0 + # via + # faster-whisper + # tokenizers +idna==3.11 + # via + # anyio + # httpx + # requests + # yarl +jinja2==3.1.6 + # via torch +m3u8==6.0.0 + # via livevtt +markdown-it-py==4.0.0 + # via rich +markupsafe==3.0.3 + # via jinja2 +mdurl==0.1.2 + # via markdown-it-py +mpmath==1.3.0 + # via sympy +multidict==6.7.1 + # via + # aiohttp + # yarl +networkx==3.4.2 ; python_full_version < '3.11' + # via torch +networkx==3.6.1 ; python_full_version >= '3.11' + # via torch +numpy==1.26.4 + # via + # ctranslate2 + # livevtt + # onnxruntime +nvidia-cublas==13.1.0.3 ; sys_platform == 'linux' + # via + # cuda-toolkit + # nvidia-cudnn-cu13 + # nvidia-cusolver +nvidia-cuda-cupti==13.0.85 ; sys_platform == 'linux' + # via cuda-toolkit +nvidia-cuda-nvrtc==13.0.88 ; sys_platform == 'linux' + # via cuda-toolkit +nvidia-cuda-runtime==13.0.96 ; sys_platform == 'linux' + # via cuda-toolkit +nvidia-cudnn-cu13==9.19.0.56 ; sys_platform == 'linux' + # via torch +nvidia-cufft==12.0.0.61 ; sys_platform == 'linux' + # via cuda-toolkit +nvidia-cufile==1.15.1.6 ; sys_platform == 'linux' + # via cuda-toolkit +nvidia-curand==10.4.0.35 ; sys_platform == 'linux' + # via cuda-toolkit +nvidia-cusolver==12.0.4.66 ; sys_platform == 'linux' + # via cuda-toolkit +nvidia-cusparse==12.6.3.3 ; sys_platform == 'linux' + # via + # cuda-toolkit + # nvidia-cusolver +nvidia-cusparselt-cu13==0.8.0 ; sys_platform == 'linux' + # via torch +nvidia-nccl-cu13==2.28.9 ; sys_platform == 'linux' + # via torch +nvidia-nvjitlink==13.0.88 ; sys_platform == 'linux' + # via + # cuda-toolkit + # nvidia-cufft + # nvidia-cusolver + # nvidia-cusparse +nvidia-nvshmem-cu13==3.4.5 ; sys_platform == 'linux' + # via torch +nvidia-nvtx==13.0.85 ; sys_platform == 'linux' + # via cuda-toolkit +onnxruntime==1.24.3 ; python_full_version < '3.11' + # via faster-whisper +onnxruntime==1.24.4 ; python_full_version >= '3.11' + # via faster-whisper +packaging==26.1 + # via + # huggingface-hub + # onnxruntime +propcache==0.4.1 + # via + # aiohttp + # yarl +protobuf==7.34.1 + # via onnxruntime +pycares==5.0.1 + # via aiodns +pycparser==3.0 ; implementation_name != 'PyPy' + # via cffi +pydantic==2.13.1 + # via fastapi +pydantic-core==2.46.1 + # via pydantic +pygments==2.20.0 + # via rich +python-dotenv==1.2.2 + # via uvicorn +pyyaml==6.0.3 + # via + # ctranslate2 + # huggingface-hub + # uvicorn +requests==2.33.1 + # via livevtt +rich==15.0.0 + # via typer +setuptools==81.0.0 + # via + # ctranslate2 + # torch +shellingham==1.5.4 + # via typer +starlette==1.0.0 + # via fastapi +sympy==1.14.0 + # via + # onnxruntime + # torch +tokenizers==0.22.2 + # via faster-whisper +torch==2.11.0 + # via livevtt +tqdm==4.67.3 + # via + # faster-whisper + # huggingface-hub + # livevtt +triton==3.6.0 ; sys_platform == 'linux' + # via torch +typer==0.24.1 + # via huggingface-hub +typing-extensions==4.15.0 + # via + # aiosignal + # anyio + # exceptiongroup + # fastapi + # huggingface-hub + # multidict + # pydantic + # pydantic-core + # starlette + # torch + # typing-inspection + # uvicorn +typing-inspection==0.4.2 + # via + # fastapi + # pydantic +urllib3==2.6.3 + # via requests +uvicorn==0.44.0 + # via livevtt +uvloop==0.22.1 ; platform_python_implementation != 'PyPy' and sys_platform != 'cygwin' and sys_platform != 'win32' + # via uvicorn +watchfiles==1.1.1 + # via uvicorn +websockets==16.0 + # via + # livevtt + # uvicorn +yarl==1.23.0 + # via aiohttp diff --git a/src/python/services/subtitle_autogen.py b/src/python/services/subtitle_autogen.py index e3cd6ae..abcf64f 100644 --- a/src/python/services/subtitle_autogen.py +++ b/src/python/services/subtitle_autogen.py @@ -22,24 +22,16 @@ def parse_args() -> argparse.Namespace: - parser = argparse.ArgumentParser( - description="Automatic subtitle generation service" - ) - parser.add_argument( - "root", type=Path, help="Root directory to monitor for video chunks" - ) - parser.add_argument( - "--output-root", type=Path, help="Optional output root for generated assets" - ) + parser = argparse.ArgumentParser(description="Automatic subtitle generation service") + parser.add_argument("root", type=Path, help="Root directory to monitor for video chunks") + parser.add_argument("--output-root", type=Path, help="Optional output root for generated assets") parser.add_argument( "--manifest", type=Path, default=Path("logs/archive_transcriber_manifest.jsonl"), help="Manifest path shared with archive_transcriber", ) - parser.add_argument( - "--interval", type=int, default=300, help="Polling interval in seconds" - ) + parser.add_argument("--interval", type=int, default=300, help="Polling interval in seconds") parser.add_argument( "--batch-size", type=int, @@ -51,15 +43,9 @@ def parse_args() -> argparse.Namespace: action="store_true", help="Regenerate SMIL manifests without modifying VTT files", ) - parser.add_argument( - "--force", action="store_true", help="Force regeneration of assets each cycle" - ) - parser.add_argument( - "--one-shot", action="store_true", help="Run a single cycle and exit" - ) - parser.add_argument( - "--log-file", type=Path, help="Optional log file for service output" - ) + parser.add_argument("--force", action="store_true", help="Force regeneration of assets each cycle") + parser.add_argument("--one-shot", action="store_true", help="Run a single cycle and exit") + parser.add_argument("--log-file", type=Path, help="Optional log file for service output") parser.add_argument("--verbose", action="store_true", help="Enable debug logging") return parser.parse_args() diff --git a/src/python/tools/archive_transcriber.py b/src/python/tools/archive_transcriber.py index d2a1b75..bb9dd95 100644 --- a/src/python/tools/archive_transcriber.py +++ b/src/python/tools/archive_transcriber.py @@ -51,6 +51,7 @@ from .ttml_utils import SubtitleCue from concurrent.futures import ThreadPoolExecutor, as_completed + from faster_whisper import WhisperModel # type: ignore _ttml_utils: Any @@ -218,7 +219,8 @@ def format_timestamp(seconds: float) -> str: Format a time value in seconds into a WebVTT-style timestamp "HH:MM:SS.mmm". Returns: - str: Timestamp in the form "HH:MM:SS.mmm" corresponding to the input seconds; sub-millisecond fractions are truncated. + str: Timestamp in the form "HH:MM:SS.mmm" corresponding to the input + seconds; sub-millisecond fractions are truncated. """ total_ms = int(seconds * 1000) hours, remainder = divmod(total_ms, 3_600_000) @@ -467,9 +469,7 @@ def init_gpu_assigner(args: argparse.Namespace) -> None: args.workers, ) except ValueError as e: - LOGGER.warning( - "Invalid --gpus value '%s': %s. Using single GPU.", args.gpus, e - ) + LOGGER.warning("Invalid --gpus value '%s': %s. Using single GPU.", args.gpus, e) def get_model( @@ -509,16 +509,13 @@ def get_model( # Warn if less than 2GB free if free_memory < 2 * 1024**3: LOGGER.warning( - "Low GPU memory: %.1fGB free. " - "Consider using --no-cuda or processing smaller files.", + "Low GPU memory: %.1fGB free. Consider using --no-cuda or processing smaller files.", free_memory / 1024**3, ) except Exception as e: LOGGER.debug("Could not check GPU memory: %s", e) - def instantiate( - target_device: str, target_device_index: int, target_compute_type: str - ) -> Any: + def instantiate(target_device: str, target_device_index: int, target_compute_type: str) -> Any: LOGGER.info( "Loading Whisper model %s (device=%s, device_index=%d, compute_type=%s)...", name, @@ -536,9 +533,7 @@ def instantiate( return model try: - MODEL_HOLDER.models[name] = instantiate( - device, device_index, selected_compute_type - ) + MODEL_HOLDER.models[name] = instantiate(device, device_index, selected_compute_type) except RuntimeError as exc: if args.use_cuda: LOGGER.warning( @@ -628,9 +623,9 @@ def _get_float(value: Any) -> Optional[float]: Optional[str], audio_stream.get("codec_tag_string") or audio_stream.get("codec_name"), ) - bitrate = _get_int(video_stream.get("bit_rate")) or _get_int( - format_data.get("bit_rate") - ) + bitrate = _get_int(video_stream.get("bit_rate")) + if bitrate in (None, 0): + bitrate = _get_int(format_data.get("bit_rate")) return VideoMetadata( duration=duration, @@ -642,17 +637,26 @@ def _get_float(value: Any) -> Optional[float]: ) -def write_smil( - job: VideoJob, metadata: VideoMetadata, args: argparse.Namespace -) -> None: +def write_smil(job: VideoJob, metadata: VideoMetadata, args: argparse.Namespace) -> None: """ Write or update the SMIL manifest for a video job, ensuring a video element and appropriate textstream entries. - Creates the SMIL parent directory if needed, makes a one-time backup of an existing SMIL file, parses an existing SMIL (or creates a minimal one), ensures a single