#!/usr/bin/env python3 import os import sys import subprocess import shutil import tempfile import json import re # Added for VFR frame rate parsing from datetime import datetime from pathlib import Path REQUIRED_TOOLS = [ "ffmpeg", "ffprobe", "mkvmerge", "mkvpropedit", "sox", "opusenc", "mediainfo", "av1an", "HandBrakeCLI" # Added HandBrakeCLI ] DIR_COMPLETED = Path("completed") DIR_ORIGINAL = Path("original") DIR_CONV_LOGS = Path("conv_logs") # Directory for conversion logs REMUX_CODECS = {"aac", "opus"} # Using a set for efficient lookups SVT_AV1_PARAMS = { "speed": "slower", # "slower", "slow", "medium", "fast", "faster" "quality": "medium", # "higher", "high", "medium", "low", "lower" "film-grain": 6, "color-primaries": 1, "transfer-characteristics": 1, "matrix-coefficients": 1, "scd": 0, # Scene change detection OFF for Av1an use "keyint": 0, # Keyframe interval, 0 disables automatic keyframes placement at a constant interval "lp": 2, # Level of parallelism "auto-tiling": 1, # Auto tiling ON "tune": 1, # 0 = VQ, 1 = PSNR, 2 = SSIM "progress": 2, # Detailed progress output } def check_tools(): for tool in REQUIRED_TOOLS: if shutil.which(tool) is None: print(f"Required tool '{tool}' not found in PATH.") sys.exit(1) def run_cmd(cmd, capture_output=False, check=True): if capture_output: result = subprocess.run(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, check=check, text=True) return result.stdout else: subprocess.run(cmd, check=check) def convert_audio_track(index, ch, lang, audio_temp_dir, source_file, should_downmix): audio_temp_path = Path(audio_temp_dir) temp_extracted = audio_temp_path / f"track_{index}_extracted.flac" temp_normalized = audio_temp_path / f"track_{index}_normalized.flac" final_opus = audio_temp_path / f"track_{index}_final.opus" print(f" - Extracting Audio Track #{index} to FLAC...") ffmpeg_args = [ "ffmpeg", "-v", "quiet", "-stats", "-y", "-i", str(source_file), "-map", f"0:{index}", "-map_metadata", "-1" ] if should_downmix and ch >= 6: if ch == 6: ffmpeg_args += ["-af", "pan=stereo|c0=c2+0.30*c0+0.30*c4|c1=c2+0.30*c1+0.30*c5"] elif ch == 8: ffmpeg_args += ["-af", "pan=stereo|c0=c2+0.30*c0+0.30*c4+0.30*c6|c1=c2+0.30*c1+0.30*c5+0.30*c7"] else: # Other multi-channel (e.g. 7ch, 10ch) ffmpeg_args += ["-ac", "2"] ffmpeg_args += ["-c:a", "flac", str(temp_extracted)] run_cmd(ffmpeg_args) print(f" - Normalizing Audio Track #{index} with SoX...") run_cmd([ "sox", str(temp_extracted), str(temp_normalized), "-S", "--temp", str(audio_temp_path), "--guard", "gain", "-n" ]) # Set bitrate based on the final channel count of the Opus file. # If we are downmixing, the result is stereo. # If not, the result has the original channel count. is_being_downmixed = should_downmix and ch >= 6 if is_being_downmixed: # Downmixing from 5.1 or 7.1 results in a stereo track. bitrate = "128k" else: # Not downmixing (or source is already stereo or less). # Base bitrate on the source channel count. if ch == 1: # Mono bitrate = "64k" elif ch == 2: # Stereo bitrate = "128k" elif ch == 6: # 5.1 Surround bitrate = "256k" elif ch == 8: # 7.1 Surround bitrate = "384k" else: # Other layouts bitrate = "96k" # A sensible default for other/uncommon layouts. print(f" - Encoding Audio Track #{index} to Opus at {bitrate}...") run_cmd([ "opusenc", "--vbr", "--bitrate", bitrate, str(temp_normalized), str(final_opus) ]) return final_opus def convert_video(source_file_base, source_file_full, is_vfr, target_cfr_fps_for_handbrake, autocrop_filter=None): print(" --- Starting Video Processing ---") # source_file_base is file_path.stem (e.g., "my.anime.episode.01") vpy_file = Path(f"{source_file_base}.vpy") ut_video_file = Path(f"{source_file_base}.ut.mkv") encoded_video_file = Path(f"temp-{source_file_base}.mkv") handbrake_cfr_intermediate_file = None # To store path of HandBrake output if created current_input_for_utvideo = Path(source_file_full) if is_vfr and target_cfr_fps_for_handbrake: print(f" - Source is VFR. Converting to CFR ({target_cfr_fps_for_handbrake}) with HandBrakeCLI...") handbrake_cfr_intermediate_file = Path(f"{source_file_base}.cfr_temp.mkv") handbrake_args = [ "HandBrakeCLI", "--input", str(source_file_full), "--output", str(handbrake_cfr_intermediate_file), "--cfr", "--rate", str(target_cfr_fps_for_handbrake), "--encoder", "x264_10bit", # Changed to x264_10bit for 10-bit CFR intermediate "--quality", "0", # CRF 0 for x264 is often considered visually lossless, or near-lossless "--encoder-preset", "superfast", # Use a fast preset for quicker processing "--encoder-tune", "fastdecode", # Added tune for faster decoding "--audio", "none", "--subtitle", "none", "--crop-mode", "none" # Disable auto-cropping ] print(f" - Running HandBrakeCLI: {' '.join(handbrake_args)}") try: run_cmd(handbrake_args) if handbrake_cfr_intermediate_file.exists() and handbrake_cfr_intermediate_file.stat().st_size > 0: print(f" - HandBrake VFR to CFR conversion successful: {handbrake_cfr_intermediate_file}") current_input_for_utvideo = handbrake_cfr_intermediate_file else: print(f" - Warning: HandBrakeCLI VFR-to-CFR conversion failed or produced an empty file. Proceeding with original source for UTVideo.") handbrake_cfr_intermediate_file = None # Ensure it's None if failed except subprocess.CalledProcessError as e: print(f" - Error during HandBrakeCLI execution: {e}") print(f" - Proceeding with original source for UTVideo.") handbrake_cfr_intermediate_file = None # Ensure it's None if failed print(" - Creating UTVideo intermediate file (overwriting if exists)...") # Check if source is already UTVideo ffprobe_cmd = [ "ffprobe", "-v", "error", "-select_streams", "v:0", "-show_entries", "stream=codec_name", "-of", "default=noprint_wrappers=1:nokey=1", str(current_input_for_utvideo) # Use current input, which might be HandBrake output ] source_codec = run_cmd(ffprobe_cmd, capture_output=True, check=True).strip() video_codec_args = ["-c:v", "utvideo"] if source_codec == "utvideo" and current_input_for_utvideo == Path(source_file_full): # Only copy if original was UTVideo print(" - Source is already UTVideo. Copying video stream...") video_codec_args = ["-c:v", "copy"] ffmpeg_args = [ "ffmpeg", "-hide_banner", "-v", "quiet", "-stats", "-y", "-i", str(current_input_for_utvideo), "-map", "0:v:0", "-map_metadata", "-1", "-map_chapters", "-1", "-an", "-sn", "-dn", ] if autocrop_filter: ffmpeg_args += ["-vf", autocrop_filter] ffmpeg_args += video_codec_args + [str(ut_video_file)] run_cmd(ffmpeg_args) ut_video_full_path = os.path.abspath(ut_video_file) vpy_script_content = f"""import vapoursynth as vs core = vs.core core.num_threads = 4 clip = core.lsmas.LWLibavSource(source=r'''{ut_video_full_path}''') clip = core.resize.Point(clip, format=vs.YUV420P10, matrix_in_s="709") # type: ignore clip.set_output() """ with vpy_file.open("w", encoding="utf-8") as f: f.write(vpy_script_content) print(" - Starting AV1 encode with av1an (this will take a long time)...") total_cores = os.cpu_count() or 4 # Fallback if cpu_count is None workers = max(1, (total_cores // 2) - 1) # Half the cores minus one, with a minimum of 1 worker. print(f" - Using {workers} workers for av1an (Total Cores: {total_cores}, Logic: (Cores/2)-1).") # Create the parameter string for av1an's -v option, which expects a single string. av1an_video_params_str = " ".join([f"--{key} {value}" for key, value in SVT_AV1_PARAMS.items()]) print(f" - Using SVT-AV1 parameters: {av1an_video_params_str}") av1an_enc_args = [ "av1an", "-i", str(vpy_file), "-o", str(encoded_video_file), "-n", "-e", "svt-av1", "--resume", "--sc-pix-format", "yuv420p", "-c", "mkvmerge", "--set-thread-affinity", "2", "--pix-format", "yuv420p10le", "--force", "-w", str(workers), "-v", av1an_video_params_str ] run_cmd(av1an_enc_args) print(" --- Finished Video Processing ---") return encoded_video_file, handbrake_cfr_intermediate_file def is_ffmpeg_decodable(file_path): """Quickly check if ffmpeg can decode the input file.""" try: # Try to decode a short segment of the first audio stream subprocess.run([ "ffmpeg", "-v", "error", "-i", str(file_path), "-map", "0:a:0", "-t", "1", "-f", "null", "-" ], check=True) return True except subprocess.CalledProcessError: return False # --- CROPDETECT LOGIC FROM cropdetect.py --- import argparse as _argparse_cropdetect import multiprocessing as _multiprocessing_cropdetect from collections import Counter as _Counter_cropdetect COLOR_GREEN = "\033[92m" COLOR_RED = "\033[91m" COLOR_YELLOW = "\033[93m" COLOR_RESET = "\033[0m" KNOWN_ASPECT_RATIOS = [ {"name": "HDTV (16:9)", "ratio": 16/9}, {"name": "Widescreen (Scope)", "ratio": 2.39}, {"name": "Widescreen (Flat)", "ratio": 1.85}, {"name": "IMAX Digital (1.90:1)", "ratio": 1.90}, {"name": "Fullscreen (4:3)", "ratio": 4/3}, {"name": "IMAX 70mm (1.43:1)", "ratio": 1.43}, ] def _check_prerequisites_cropdetect(): for tool in ['ffmpeg', 'ffprobe']: if not shutil.which(tool): print(f"Error: '{tool}' command not found. Is it installed and in your PATH?") return False return True def _analyze_segment_cropdetect(task_args): seek_time, input_file, width, height = task_args ffmpeg_args = [ 'ffmpeg', '-hide_banner', '-ss', str(seek_time), '-i', input_file, '-t', '1', '-vf', 'cropdetect', '-f', 'null', '-' ] result = subprocess.run(ffmpeg_args, capture_output=True, text=True, encoding='utf-8') if result.returncode != 0: return [] crop_detections = re.findall(r'crop=(\d+):(\d+):(\d+):(\d+)', result.stderr) significant_crops = [] for w_str, h_str, x_str, y_str in crop_detections: w, h, x, y = map(int, [w_str, h_str, x_str, y_str]) significant_crops.append((f"crop={w}:{h}:{x}:{y}", seek_time)) return significant_crops def _snap_to_known_ar_cropdetect(w, h, x, y, video_w, video_h, tolerance=0.03): if h == 0: return f"crop={w}:{h}:{x}:{y}", None detected_ratio = w / h best_match = None smallest_diff = float('inf') for ar in KNOWN_ASPECT_RATIOS: diff = abs(detected_ratio - ar['ratio']) if diff < smallest_diff: smallest_diff = diff best_match = ar if not best_match or (smallest_diff / best_match['ratio']) >= tolerance: return f"crop={w}:{h}:{x}:{y}", None if abs(w - video_w) < 16: new_h = round(video_w / best_match['ratio']) if new_h % 8 != 0: new_h = new_h + (8 - (new_h % 8)) new_h = min(new_h, video_h) new_y = round((video_h - new_h) / 2) if new_y % 2 != 0: new_y -= 1 new_y = max(0, new_y) return f"crop={video_w}:{new_h}:0:{new_y}", best_match['name'] if abs(h - video_h) < 16: new_w = round(video_h * best_match['ratio']) if new_w % 8 != 0: new_w = new_w + (8 - (new_w % 8)) new_w = min(new_w, video_w) new_x = round((video_w - new_w) / 2) if new_x % 2 != 0: new_x -= 1 new_x = max(0, new_x) return f"crop={new_w}:{video_h}:{new_x}:0", best_match['name'] return f"crop={w}:{h}:{x}:{y}", None def _cluster_crop_values_cropdetect(crop_counts, tolerance=8): clusters = [] temp_counts = crop_counts.copy() while temp_counts: center_str, _ = temp_counts.most_common(1)[0] try: _, values = center_str.split('='); cw, ch, cx, cy = map(int, values.split(':')) except (ValueError, IndexError): del temp_counts[center_str] continue cluster_total_count = 0 crops_to_remove = [] for crop_str, count in temp_counts.items(): try: _, values = crop_str.split('='); w, h, x, y = map(int, values.split(':')) if abs(x - cx) <= tolerance and abs(y - cy) <= tolerance: cluster_total_count += count crops_to_remove.append(crop_str) except (ValueError, IndexError): continue if cluster_total_count > 0: clusters.append({'center': center_str, 'count': cluster_total_count}) for crop_str in crops_to_remove: del temp_counts[crop_str] clusters.sort(key=lambda c: c['count'], reverse=True) return clusters def _parse_crop_string_cropdetect(crop_str): try: _, values = crop_str.split('='); w, h, x, y = map(int, values.split(':')) return {'w': w, 'h': h, 'x': x, 'y': y} except (ValueError, IndexError): return None def _calculate_bounding_box_cropdetect(crop_keys): min_x = min_w = min_y = min_h = float('inf') max_x = max_w = max_y = max_h = float('-inf') for key in crop_keys: parsed = _parse_crop_string_cropdetect(key) if not parsed: continue w, h, x, y = parsed['w'], parsed['h'], parsed['x'], parsed['y'] min_x = min(min_x, x) min_y = min(min_y, y) max_x = max(max_x, x + w) max_y = max(max_y, y + h) min_w = min(min_w, w) min_h = min(min_h, h) max_w = max(max_w, w) max_h = max(max_h, h) if (max_x - min_x) <= 2 and (max_y - min_y) <= 2: return None bounding_crop = f"crop={max_x - min_x}:{max_y - min_y}:{min_x}:{min_y}" return bounding_crop def _analyze_video_cropdetect(input_file, duration, width, height, num_workers, significant_crop_threshold, min_crop, debug=False): num_tasks = num_workers * 4 segment_duration = max(1, duration // num_tasks) tasks = [(i * segment_duration, input_file, width, height) for i in range(num_tasks)] crop_results = [] with _multiprocessing_cropdetect.Pool(processes=num_workers) as pool: results_iterator = pool.imap_unordered(_analyze_segment_cropdetect, tasks) for result in results_iterator: crop_results.append(result) all_crops_with_ts = [crop for sublist in crop_results for crop in sublist] all_crop_strings = [item[0] for item in all_crops_with_ts] if not all_crop_strings: return None crop_counts = _Counter_cropdetect(all_crop_strings) clusters = _cluster_crop_values_cropdetect(crop_counts) total_detections = sum(c['count'] for c in clusters) significant_clusters = [] for cluster in clusters: percentage = (cluster['count'] / total_detections) * 100 if percentage >= significant_crop_threshold: significant_clusters.append(cluster) for cluster in significant_clusters: parsed_crop = _parse_crop_string_cropdetect(cluster['center']) if parsed_crop: _, ar_label = _snap_to_known_ar_cropdetect( parsed_crop['w'], parsed_crop['h'], parsed_crop['x'], parsed_crop['y'], width, height ) cluster['ar_label'] = ar_label else: cluster['ar_label'] = None if not significant_clusters: return None elif len(significant_clusters) == 1: dominant_cluster = significant_clusters[0] parsed_crop = _parse_crop_string_cropdetect(dominant_cluster['center']) snapped_crop, ar_label = _snap_to_known_ar_cropdetect( parsed_crop['w'], parsed_crop['h'], parsed_crop['x'], parsed_crop['y'], width, height ) parsed_snapped = _parse_crop_string_cropdetect(snapped_crop) if parsed_snapped and parsed_snapped['w'] == width and parsed_snapped['h'] == height: return None else: return snapped_crop else: crop_keys = [c['center'] for c in significant_clusters] bounding_box_crop = _calculate_bounding_box_cropdetect(crop_keys) if bounding_box_crop: parsed_bb = _parse_crop_string_cropdetect(bounding_box_crop) snapped_crop, ar_label = _snap_to_known_ar_cropdetect( parsed_bb['w'], parsed_bb['h'], parsed_bb['x'], parsed_bb['y'], width, height ) parsed_snapped = _parse_crop_string_cropdetect(snapped_crop) if parsed_snapped and parsed_snapped['w'] == width and parsed_snapped['h'] == height: return None else: return snapped_crop else: return None def detect_autocrop_filter(input_file, significant_crop_threshold=5.0, min_crop=10, debug=False): if not _check_prerequisites_cropdetect(): return None try: probe_duration_args = [ 'ffprobe', '-v', 'error', '-show_entries', 'format=duration', '-of', 'default=noprint_wrappers=1:nokey=1', input_file ] duration_str = subprocess.check_output(probe_duration_args, stderr=subprocess.STDOUT, text=True) duration = int(float(duration_str)) probe_res_args = [ 'ffprobe', '-v', 'error', '-select_streams', 'v', '-show_entries', 'stream=width,height,disposition', '-of', 'json', input_file ] probe_output = subprocess.check_output(probe_res_args, stderr=subprocess.STDOUT, text=True) streams_data = json.loads(probe_output) video_stream = None for stream in streams_data.get('streams', []): if stream.get('disposition', {}).get('attached_pic', 0) == 0: video_stream = stream break if not video_stream or 'width' not in video_stream or 'height' not in video_stream: return None width = int(video_stream['width']) height = int(video_stream['height']) except Exception: return None return _analyze_video_cropdetect(input_file, duration, width, height, max(1, os.cpu_count() // 2), significant_crop_threshold, min_crop, debug) def main(no_downmix=False, autocrop=False, speed=None, quality=None, grain=None): check_tools() # Override default SVT-AV1 params if provided via command line if speed: SVT_AV1_PARAMS["speed"] = speed if quality: SVT_AV1_PARAMS["quality"] = quality if grain is not None: SVT_AV1_PARAMS["film-grain"] = grain current_dir = Path(".") files_to_process = sorted( f for f in current_dir.glob("*.mkv") if not (f.name.endswith(".ut.mkv") or f.name.startswith("temp-") or f.name.startswith("output-") or f.name.endswith(".cfr_temp.mkv")) ) if not files_to_process: print("No MKV files found to process. Exiting.") return DIR_COMPLETED.mkdir(exist_ok=True, parents=True) DIR_ORIGINAL.mkdir(exist_ok=True, parents=True) DIR_CONV_LOGS.mkdir(exist_ok=True, parents=True) while True: files_to_process = sorted( f for f in current_dir.glob("*.mkv") if not (f.name.endswith(".ut.mkv") or f.name.startswith("temp-") or f.name.startswith("output-") or f.name.endswith(".cfr_temp.mkv")) ) if not files_to_process: print("No more .mkv files found to process in the current directory. The script will now exit.") break file_path = files_to_process[0] if not is_ffmpeg_decodable(file_path): print(f"ERROR: ffmpeg cannot decode '{file_path.name}'. Skipping this file.", file=sys.stderr) shutil.move(str(file_path), DIR_ORIGINAL / file_path.name) continue print("-" * shutil.get_terminal_size(fallback=(80, 24)).columns) log_file_name = f"{file_path.stem}.log" log_file_path = DIR_CONV_LOGS / log_file_name original_stdout_console = sys.stdout original_stderr_console = sys.stderr print(f"Processing: {file_path.name}", file=original_stdout_console) print(f"Logging output to: {log_file_path}", file=original_stdout_console) log_file_handle = None processing_error_occurred = False date_for_runtime_calc = datetime.now() try: log_file_handle = open(log_file_path, 'w', encoding='utf-8') sys.stdout = log_file_handle sys.stderr = log_file_handle print(f"STARTING LOG FOR: {file_path.name}") print(f"Processing started at: {date_for_runtime_calc}") print(f"Full input file path: {file_path.resolve()}") print("-" * shutil.get_terminal_size(fallback=(80, 24)).columns) input_file_abs = file_path.resolve() intermediate_output_file = current_dir / f"output-{file_path.name}" audio_temp_dir = None handbrake_intermediate_for_cleanup = None try: audio_temp_dir = tempfile.mkdtemp(prefix="anime_audio_") print(f"Audio temporary directory created at: {audio_temp_dir}") print(f"Analyzing file: {input_file_abs}") ffprobe_info_json = run_cmd([ "ffprobe", "-v", "quiet", "-print_format", "json", "-show_streams", "-show_format", str(input_file_abs) ], capture_output=True) ffprobe_info = json.loads(ffprobe_info_json) mkvmerge_info_json = run_cmd([ "mkvmerge", "-J", str(input_file_abs) ], capture_output=True) mkv_info = json.loads(mkvmerge_info_json) mediainfo_json = run_cmd([ "mediainfo", "--Output=JSON", "-f", str(input_file_abs) ], capture_output=True) media_info = json.loads(mediainfo_json) is_vfr = False target_cfr_fps_for_handbrake = None video_track_info = None if media_info.get("media") and media_info["media"].get("track"): for track in media_info["media"]["track"]: if track.get("@type") == "Video": video_track_info = track break if video_track_info: frame_rate_mode = video_track_info.get("FrameRate_Mode") if frame_rate_mode and frame_rate_mode.upper() in ["VFR", "VARIABLE"]: is_vfr = True print(f" - Detected VFR based on MediaInfo FrameRate_Mode: {frame_rate_mode}") original_fps_str = video_track_info.get("FrameRate_Original_String") if original_fps_str: match = re.search(r'\((\d+/\d+)\)', original_fps_str) if match: target_cfr_fps_for_handbrake = match.group(1) else: target_cfr_fps_for_handbrake = video_track_info.get("FrameRate_Original") if not target_cfr_fps_for_handbrake: target_cfr_fps_for_handbrake = video_track_info.get("FrameRate_Original") if not target_cfr_fps_for_handbrake: target_cfr_fps_for_handbrake = video_track_info.get("FrameRate") if target_cfr_fps_for_handbrake: print(f" - Using MediaInfo FrameRate ({target_cfr_fps_for_handbrake}) as fallback for HandBrake target FPS.") if target_cfr_fps_for_handbrake: print(f" - Target CFR for HandBrake: {target_cfr_fps_for_handbrake}") if isinstance(target_cfr_fps_for_handbrake, str) and "/" in target_cfr_fps_for_handbrake: try: num, den = map(float, target_cfr_fps_for_handbrake.split('/')) target_cfr_fps_for_handbrake = f"{num / den:.3f}" print(f" - Converted fractional FPS to decimal for HandBrake: {target_cfr_fps_for_handbrake}") except ValueError: print(f" - Warning: Could not parse fractional FPS '{target_cfr_fps_for_handbrake}'. HandBrakeCLI might fail.") is_vfr = False else: print(" - Warning: VFR detected, but could not determine target CFR from MediaInfo. Will attempt standard UTVideo conversion without HandBrake.") is_vfr = False else: print(f" - Video appears to be CFR or FrameRate_Mode not specified as VFR/Variable by MediaInfo.") autocrop_filter = None if autocrop: print("--- Running autocrop detection ---") autocrop_filter = detect_autocrop_filter(str(input_file_abs)) if autocrop_filter: print(f" - Autocrop filter detected: {autocrop_filter}") else: print(" - No crop needed or detected.") encoded_video_file, handbrake_intermediate_for_cleanup = convert_video( file_path.stem, str(input_file_abs), is_vfr, target_cfr_fps_for_handbrake, autocrop_filter=autocrop_filter ) print("--- Starting Audio Processing ---") processed_audio_files = [] audio_tracks_to_remux = [] audio_streams = [s for s in ffprobe_info.get("streams", []) if s.get("codec_type") == "audio"] # Build mkvmerge track mapping by track ID mkv_audio_tracks = {t["id"]: t for t in mkv_info.get("tracks", []) if t.get("type") == "audio"} # Build mediainfo track mapping by StreamOrder media_tracks_data = media_info.get("media", {}).get("track", []) mediainfo_audio_tracks = {int(t.get("StreamOrder", -1)): t for t in media_tracks_data if t.get("@type") == "Audio"} for stream in audio_streams: stream_index = stream["index"] codec = stream.get("codec_name") channels = stream.get("channels", 2) language = stream.get("tags", {}).get("language", "und") # Find mkvmerge track by matching ffprobe stream index to mkvmerge track's 'properties'->'stream_id' mkv_track = None for t in mkv_info.get("tracks", []): if t.get("type") == "audio" and t.get("properties", {}).get("stream_id") == stream_index: mkv_track = t break if not mkv_track: # Fallback: try by position mkv_track = mkv_info.get("tracks", [])[stream_index] if stream_index < len(mkv_info.get("tracks", [])) else {} track_id = mkv_track.get("id", -1) track_title = mkv_track.get("properties", {}).get("track_name", "") # Find mediainfo track by StreamOrder audio_track_info = mediainfo_audio_tracks.get(stream_index) track_delay = 0 delay_raw = audio_track_info.get("Video_Delay") if audio_track_info else None if delay_raw is not None: try: delay_val = float(delay_raw) # If the value is a float < 1, it's seconds, so convert to ms. if delay_val < 1: track_delay = int(round(delay_val * 1000)) else: track_delay = int(round(delay_val)) except Exception: track_delay = 0 print(f"Processing Audio Stream #{stream_index} (TID: {track_id}, Codec: {codec}, Channels: {channels})") if codec in REMUX_CODECS: audio_tracks_to_remux.append(str(track_id)) else: # Convert any codec that is not in REMUX_CODECS opus_file = convert_audio_track( stream_index, channels, language, audio_temp_dir, str(input_file_abs), not no_downmix ) processed_audio_files.append({ "Path": opus_file, "Language": language, "Title": track_title, "Delay": track_delay }) print("--- Finished Audio Processing ---") # Final mux print("Assembling final file with mkvmerge...") mkvmerge_args = ["mkvmerge", "-o", str(intermediate_output_file), str(encoded_video_file)] for file_info in processed_audio_files: sync_switch = ["--sync", f"0:{file_info['Delay']}"] if file_info["Delay"] else [] mkvmerge_args += [ "--language", f"0:{file_info['Language']}", "--track-name", f"0:{file_info['Title']}" ] + sync_switch + [str(file_info["Path"])] source_copy_args = ["--no-video"] if audio_tracks_to_remux: source_copy_args += ["--audio-tracks", ",".join(audio_tracks_to_remux)] else: source_copy_args += ["--no-audio"] mkvmerge_args += source_copy_args + [str(input_file_abs)] run_cmd(mkvmerge_args) # Move files print("Moving files to final destinations...") shutil.move(str(file_path), DIR_ORIGINAL / file_path.name) shutil.move(str(intermediate_output_file), DIR_COMPLETED / file_path.name) print("Cleaning up persistent video temporary files (after successful processing)...") video_temp_files_on_success = [ current_dir / f"{file_path.stem}.vpy", current_dir / f"{file_path.stem}.ut.mkv", current_dir / f"temp-{file_path.stem}.mkv", # This is encoded_video_file current_dir / f"{file_path.stem}.ut.mkv.lwi", ] if handbrake_intermediate_for_cleanup and handbrake_intermediate_for_cleanup.exists(): video_temp_files_on_success.append(handbrake_intermediate_for_cleanup) for temp_vid_file in video_temp_files_on_success: if temp_vid_file.exists(): print(f" Deleting: {temp_vid_file}") temp_vid_file.unlink(missing_ok=True) else: print(f" Skipping (not found): {temp_vid_file}") except Exception as e: print(f"ERROR: An error occurred while processing '{file_path.name}': {e}", file=sys.stderr) # Goes to log original_stderr_console.write(f"ERROR during processing of '{file_path.name}': {e}\nSee log '{log_file_path}' for details.\n") processing_error_occurred = True finally: # This is the original 'finally' block. Its prints go to the log file. print("--- Starting Universal Cleanup (for this file) ---") print(" - Cleaning up disposable audio temporary directory...") if audio_temp_dir and Path(audio_temp_dir).exists(): shutil.rmtree(audio_temp_dir, ignore_errors=True) print(f" - Deleted audio temp dir: {audio_temp_dir}") elif audio_temp_dir: # Was created but now not found print(f" - Audio temp dir not found or already cleaned: {audio_temp_dir}") else: # Was never created print(f" - Audio temp dir was not created.") print(" - Cleaning up intermediate output file (if it wasn't moved on success)...") if intermediate_output_file.exists(): # Check if it still exists (e.g. error before move) if processing_error_occurred: print(f" - WARNING: Processing error occurred. Intermediate output file '{intermediate_output_file}' is being preserved at its original path for inspection.") else: # No processing error, so it should have been moved. # If it's still here, it's unexpected but we'll clean it up. print(f" - INFO: Intermediate output file '{intermediate_output_file}' found at original path despite no errors (expected to be moved). Cleaning up.") intermediate_output_file.unlink(missing_ok=True) # Only unlink if no error and it exists print(f" - Deleted intermediate output file from original path: {intermediate_output_file}") else: # File does not exist at original path if not processing_error_occurred: print(f" - Intermediate output file successfully moved (not found at original path, as expected): {intermediate_output_file}") else: print(f" - Processing error occurred, and intermediate output file '{intermediate_output_file}' not found at original path (likely not created or cleaned by another step).") # --- End of original per-file processing block --- print(f"FINISHED LOG FOR: {file_path.name}") # --- End of log-specific messages --- finally: # Outer finally for restoring stdout/stderr and closing log file runtime = datetime.now() - date_for_runtime_calc runtime_str = str(runtime).split('.')[0] # This print goes to the log file, as stdout is not yet restored. print(f"\nTotal runtime for this file: {runtime_str}") if sys.stdout != original_stdout_console: sys.stdout = original_stdout_console if sys.stderr != original_stderr_console: sys.stderr = original_stderr_console if log_file_handle: log_file_handle.close() # Announce to console (original stdout/stderr) that this file is done if processing_error_occurred: original_stderr_console.write(f"File: {file_path.name}\n") original_stderr_console.write(f"Log: {log_file_path}\n") original_stderr_console.write(f"Runtime: {runtime_str}\n") else: original_stdout_console.write(f"File: {file_path.name}\n") original_stdout_console.write(f"Log: {log_file_path}\n") original_stdout_console.write(f"Runtime: {runtime_str}\n") if __name__ == "__main__": import argparse parser = argparse.ArgumentParser(description="Batch-process MKV files with resumable video encoding, audio downmixing, per-file logging, and optional autocrop.") parser.add_argument("--no-downmix", action="store_true", help="Preserve original audio channel layout.") parser.add_argument("--autocrop", action="store_true", help="Automatically detect and crop black bars from video using cropdetect.") parser.add_argument("--speed", type=str, help="Set the encoding speed. Possible values: slower, slow, medium, fast, faster.") parser.add_argument("--quality", type=str, help="Set the encoding quality. Possible values: lowest, low, medium, high, higher.") parser.add_argument("--grain", type=int, help="Set the film-grain value (number). Adjusts the film grain synthesis level.") args = parser.parse_args() main(no_downmix=args.no_downmix, autocrop=args.autocrop, speed=args.speed, quality=args.quality, grain=args.grain)