801 lines
36 KiB
Python
801 lines
36 KiB
Python
#!/usr/bin/env python3
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import os
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import sys
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import subprocess
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import shutil
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import tempfile
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import json
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import re
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import logging
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from datetime import datetime
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from pathlib import Path
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from typing import List, Optional, Dict, Any, Union
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REQUIRED_TOOLS = [
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"ffmpeg", "ffprobe", "mkvmerge", "mkvpropedit",
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"opusenc", "mediainfo", "av1an", "HandBrakeCLI", "ffmsindex" # Added HandBrakeCLI and ffmsindex
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]
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DIR_COMPLETED = Path("completed")
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DIR_ORIGINAL = Path("original")
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DIR_CONV_LOGS = Path("conv_logs") # Directory for conversion logs
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REMUX_CODECS = {"aac", "opus"} # Using a set for efficient lookups
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SVT_AV1_PARAMS = {
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"speed": "slower", # "slower", "slow", "medium", "fast", "faster"
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"quality": "medium", # "higher", "high", "medium", "low", "lower"
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"film-grain": 6,
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"color-primaries": 1,
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"transfer-characteristics": 1,
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"matrix-coefficients": 1,
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"scd": 0, # Scene change detection OFF for Av1an use
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"keyint": 0, # Keyframe interval, 0 disables automatic keyframes placement at a constant interval
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"lp": 2, # Level of parallelism
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"auto-tiling": 1, # Auto tiling ON
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"tune": 1, # 0 = VQ, 1 = PSNR, 2 = SSIM
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"progress": 2, # Detailed progress output
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}
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def check_tools() -> None:
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for tool in REQUIRED_TOOLS:
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if shutil.which(tool) is None:
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print(f"Required tool '{tool}' not found in PATH.")
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sys.exit(1)
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def setup_logging(log_file: Path) -> None:
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"""Configures logging to write to both the console and a log file."""
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logger = logging.getLogger()
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logger.setLevel(logging.INFO)
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# Clear existing handlers to avoid duplicates when processing multiple files
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if logger.hasHandlers():
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logger.handlers.clear()
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# File Handler
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fh = logging.FileHandler(log_file, mode='w', encoding='utf-8')
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fh.setFormatter(logging.Formatter('%(message)s'))
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logger.addHandler(fh)
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# Console Handler
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ch = logging.StreamHandler(sys.stdout)
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ch.setFormatter(logging.Formatter('%(message)s'))
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logger.addHandler(ch)
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def run_cmd(cmd: List[str], capture_output: bool = False, check: bool = True) -> Optional[str]:
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"""
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Runs a command.
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If capture_output is True, returns the stdout string.
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If capture_output is False, streams output to the console (passthrough).
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Always logs the command execution.
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"""
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cmd_str = " ".join(str(c) for c in cmd)
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logging.info(f"Executing: {cmd_str}")
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if capture_output:
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result = subprocess.run(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, check=check, text=True)
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return result.stdout
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else:
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# Passthrough to console
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subprocess.run(cmd, check=check)
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return None
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def convert_audio_track(index: int, ch: int, lang: str, audio_temp_dir: str, source_file: str, should_downmix: bool) -> Path:
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audio_temp_path = Path(audio_temp_dir)
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temp_extracted = audio_temp_path / f"track_{index}_extracted.flac"
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temp_normalized = audio_temp_path / f"track_{index}_normalized.flac"
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final_opus = audio_temp_path / f"track_{index}_final.opus"
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logging.info(f" - Extracting Audio Track #{index} to FLAC...")
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ffmpeg_args = [
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"ffmpeg", "-v", "quiet", "-stats", "-y", "-i", str(source_file), "-map", f"0:{index}", "-map_metadata", "-1"
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]
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if should_downmix and ch >= 6:
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if ch == 6:
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ffmpeg_args += ["-af", "pan=stereo|c0=c2+0.30*c0+0.30*c4|c1=c2+0.30*c1+0.30*c5"]
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elif ch == 8:
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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"]
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else: # Other multi-channel (e.g. 7ch, 10ch)
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ffmpeg_args += ["-ac", "2"]
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ffmpeg_args += ["-c:a", "flac", str(temp_extracted)]
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run_cmd(ffmpeg_args)
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logging.info(f" - Normalizing Audio Track #{index} with ffmpeg (loudnorm 2-pass)...")
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# First pass: Analyze the audio to get loudnorm stats
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# The stats are printed to stderr, so we must use subprocess.run directly to capture it.
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logging.info(" - Pass 1: Analyzing...")
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# Log the command for consistency
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analyze_cmd = ["ffmpeg", "-v", "info", "-i", str(temp_extracted), "-af", "loudnorm=I=-23:LRA=7:tp=-1:print_format=json", "-f", "null", "-"]
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logging.info(f"Executing: {' '.join(analyze_cmd)}")
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result = subprocess.run(
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analyze_cmd,
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capture_output=True, text=True, check=True)
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# Find the start of the JSON block in stderr and parse it.
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stderr_output = result.stderr
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json_start_index = stderr_output.find('{')
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if json_start_index == -1:
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raise ValueError("Could not find start of JSON block in ffmpeg output for loudnorm analysis.")
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brace_level = 0
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json_end_index = -1
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for i, char in enumerate(stderr_output[json_start_index:]):
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if char == '{':
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brace_level += 1
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elif char == '}':
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brace_level -= 1
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if brace_level == 0:
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json_end_index = json_start_index + i + 1
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break
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stats = json.loads(stderr_output[json_start_index:json_end_index])
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# Second pass: Apply the normalization using the stats from the first pass
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logging.info(" - Pass 2: Applying normalization...")
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run_cmd([
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"ffmpeg", "-v", "quiet", "-stats", "-y", "-i", str(temp_extracted), "-af",
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f"loudnorm=I=-23:LRA=7:tp=-1:measured_i={stats['input_i']}:measured_lra={stats['input_lra']}:measured_tp={stats['input_tp']}:measured_thresh={stats['input_thresh']}:offset={stats['target_offset']}",
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"-c:a", "flac", str(temp_normalized)
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])
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# Set bitrate based on the final channel count of the Opus file.
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is_being_downmixed = should_downmix and ch >= 6
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if is_being_downmixed:
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bitrate = "128k"
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else:
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if ch == 1: # Mono
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bitrate = "64k"
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elif ch == 2: # Stereo
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bitrate = "128k"
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elif ch == 6: # 5.1 Surround
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bitrate = "256k"
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elif ch == 8: # 7.1 Surround
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bitrate = "384k"
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else: # Other layouts
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bitrate = "96k"
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logging.info(f" - Encoding Audio Track #{index} to Opus at {bitrate}...")
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run_cmd([
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"opusenc", "--vbr", "--bitrate", bitrate, str(temp_normalized), str(final_opus)
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])
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return final_opus
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def convert_video(source_file_base: str, source_file_full: str, is_vfr: bool, target_cfr_fps_for_handbrake: Optional[str], autocrop_filter: Optional[str] = None) -> tuple[Path, Optional[Path]]:
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logging.info(" --- Starting Video Processing ---")
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# source_file_base is file_path.stem (e.g., "my.anime.episode.01")
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vpy_file = Path(f"{source_file_base}.vpy")
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ut_video_file = Path(f"{source_file_base}.ut.mkv")
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encoded_video_file = Path(f"temp-{source_file_base}.mkv")
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handbrake_cfr_intermediate_file = None # To store path of HandBrake output if created
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current_input_for_utvideo = Path(source_file_full)
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if is_vfr and target_cfr_fps_for_handbrake:
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logging.info(f" - Source is VFR. Converting to CFR ({target_cfr_fps_for_handbrake}) with HandBrakeCLI...")
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handbrake_cfr_intermediate_file = Path(f"{source_file_base}.cfr_temp.mkv")
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handbrake_args = [
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"HandBrakeCLI",
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"--input", str(source_file_full),
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"--output", str(handbrake_cfr_intermediate_file),
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"--cfr",
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"--rate", str(target_cfr_fps_for_handbrake),
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"--encoder", "x264_10bit", # Changed to x264_10bit for 10-bit CFR intermediate
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"--quality", "0", # CRF 0 for x264 is often considered visually lossless, or near-lossless
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"--encoder-preset", "superfast", # Use a fast preset for quicker processing
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"--encoder-tune", "fastdecode", # Added tune for faster decoding
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"--audio", "none",
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"--subtitle", "none",
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"--crop-mode", "none" # Disable auto-cropping
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]
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logging.info(f" - Running HandBrakeCLI: {' '.join(handbrake_args)}")
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try:
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run_cmd(handbrake_args)
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if handbrake_cfr_intermediate_file.exists() and handbrake_cfr_intermediate_file.stat().st_size > 0:
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logging.info(f" - HandBrake VFR to CFR conversion successful: {handbrake_cfr_intermediate_file}")
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current_input_for_utvideo = handbrake_cfr_intermediate_file
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else:
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logging.info(f" - Warning: HandBrakeCLI VFR-to-CFR conversion failed or produced an empty file. Proceeding with original source for UTVideo.")
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handbrake_cfr_intermediate_file = None # Ensure it's None if failed
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except subprocess.CalledProcessError as e:
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logging.info(f" - Error during HandBrakeCLI execution: {e}")
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logging.info(f" - Proceeding with original source for UTVideo.")
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handbrake_cfr_intermediate_file = None # Ensure it's None if failed
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logging.info(" - Creating UTVideo intermediate file (overwriting if exists)...")
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# Check if source is already UTVideo
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ffprobe_cmd = [
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"ffprobe", "-v", "error", "-select_streams", "v:0",
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"-show_entries", "stream=codec_name", "-of", "default=noprint_wrappers=1:nokey=1",
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str(current_input_for_utvideo) # Use current input, which might be HandBrake output
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]
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source_codec = run_cmd(ffprobe_cmd, capture_output=True, check=True)
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if source_codec:
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source_codec = source_codec.strip()
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else:
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source_codec = ""
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video_codec_args = ["-c:v", "utvideo"]
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if source_codec == "utvideo" and current_input_for_utvideo == Path(source_file_full): # Only copy if original was UTVideo
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logging.info(" - Source is already UTVideo. Copying video stream...")
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video_codec_args = ["-c:v", "copy"]
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ffmpeg_args = [
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"ffmpeg", "-hide_banner", "-v", "quiet", "-stats", "-y", "-i", str(current_input_for_utvideo),
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"-map", "0:v:0", "-map_metadata", "-1", "-map_chapters", "-1", "-an", "-sn", "-dn",
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]
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if autocrop_filter:
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ffmpeg_args += ["-vf", autocrop_filter]
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ffmpeg_args += video_codec_args + [str(ut_video_file)]
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run_cmd(ffmpeg_args)
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logging.info(" - Indexing UTVideo file with ffmsindex for VapourSynth...")
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ffmsindex_args = ["ffmsindex", "-f", str(ut_video_file)]
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run_cmd(ffmsindex_args)
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ut_video_full_path = os.path.abspath(ut_video_file)
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vpy_script_content = f"""import vapoursynth as vs
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core = vs.core
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core.num_threads = 4
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clip = core.ffms2.Source(source=r'''{ut_video_full_path}''')
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clip = core.resize.Point(clip, format=vs.YUV420P10, matrix_in_s="709") # type: ignore
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clip.set_output()
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"""
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with vpy_file.open("w", encoding="utf-8") as f:
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f.write(vpy_script_content)
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logging.info(" - Starting AV1 encode with av1an (this will take a long time)...")
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total_cores = os.cpu_count() or 4 # Fallback if cpu_count is None
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workers = max(1, (total_cores // 2) - 1) # Half the cores minus one, with a minimum of 1 worker.
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logging.info(f" - Using {workers} workers for av1an (Total Cores: {total_cores}, Logic: (Cores/2)-1).")
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# Create the parameter string for av1an's -v option, which expects a single string.
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av1an_video_params_str = " ".join([f"--{key} {value}" for key, value in SVT_AV1_PARAMS.items()])
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logging.info(f" - Using SVT-AV1 parameters: {av1an_video_params_str}")
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av1an_enc_args = [
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"av1an", "-i", str(vpy_file), "-o", str(encoded_video_file), "-n",
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"-e", "svt-av1", "--resume", "--sc-pix-format", "yuv420p", "-c", "mkvmerge",
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"--set-thread-affinity", "2", "--pix-format", "yuv420p10le", "--force", "--no-defaults",
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"-w", str(workers),
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"-v", av1an_video_params_str
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]
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run_cmd(av1an_enc_args)
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logging.info(" --- Finished Video Processing ---")
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return encoded_video_file, handbrake_cfr_intermediate_file
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def is_ffmpeg_decodable(file_path):
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"""Quickly check if ffmpeg can decode the input file."""
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try:
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# Try to decode a short segment of the first audio stream
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subprocess.run([
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"ffmpeg", "-v", "error", "-i", str(file_path), "-map", "0:a:0", "-t", "1", "-f", "null", "-"
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], check=True)
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return True
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except subprocess.CalledProcessError:
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return False
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# --- CROPDETECT LOGIC FROM cropdetect.py ---
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import argparse as _argparse_cropdetect
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import multiprocessing as _multiprocessing_cropdetect
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from collections import Counter as _Counter_cropdetect
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COLOR_GREEN = "\033[92m"
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COLOR_RED = "\033[91m"
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COLOR_YELLOW = "\033[93m"
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COLOR_RESET = "\033[0m"
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KNOWN_ASPECT_RATIOS = [
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{"name": "HDTV (16:9)", "ratio": 16/9},
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{"name": "Widescreen (Scope)", "ratio": 2.39},
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{"name": "Widescreen (Flat)", "ratio": 1.85},
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{"name": "IMAX Digital (1.90:1)", "ratio": 1.90},
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{"name": "Fullscreen (4:3)", "ratio": 4/3},
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{"name": "IMAX 70mm (1.43:1)", "ratio": 1.43},
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]
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def _check_prerequisites_cropdetect():
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for tool in ['ffmpeg', 'ffprobe']:
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if not shutil.which(tool):
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print(f"Error: '{tool}' command not found. Is it installed and in your PATH?")
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return False
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return True
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def _analyze_segment_cropdetect(task_args):
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seek_time, input_file, width, height = task_args
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ffmpeg_args = [
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'ffmpeg', '-hide_banner',
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'-ss', str(seek_time),
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'-i', input_file, '-t', '1', '-vf', 'cropdetect',
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'-f', 'null', '-'
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]
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result = subprocess.run(ffmpeg_args, capture_output=True, text=True, encoding='utf-8')
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if result.returncode != 0:
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return []
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crop_detections = re.findall(r'crop=(\d+):(\d+):(\d+):(\d+)', result.stderr)
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significant_crops = []
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for w_str, h_str, x_str, y_str in crop_detections:
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w, h, x, y = map(int, [w_str, h_str, x_str, y_str])
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significant_crops.append((f"crop={w}:{h}:{x}:{y}", seek_time))
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return significant_crops
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def _snap_to_known_ar_cropdetect(w, h, x, y, video_w, video_h, tolerance=0.03):
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if h == 0: return f"crop={w}:{h}:{x}:{y}", None
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detected_ratio = w / h
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best_match = None
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smallest_diff = float('inf')
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for ar in KNOWN_ASPECT_RATIOS:
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diff = abs(detected_ratio - ar['ratio'])
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if diff < smallest_diff:
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smallest_diff = diff
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best_match = ar
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if not best_match or (smallest_diff / best_match['ratio']) >= tolerance:
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return f"crop={w}:{h}:{x}:{y}", None
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if abs(w - video_w) < 16:
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new_h = round(video_w / best_match['ratio'])
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if new_h % 8 != 0:
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new_h = new_h + (8 - (new_h % 8))
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new_h = min(new_h, video_h)
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new_y = round((video_h - new_h) / 2)
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if new_y % 2 != 0:
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new_y -= 1
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new_y = max(0, new_y)
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return f"crop={video_w}:{new_h}:0:{new_y}", best_match['name']
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if abs(h - video_h) < 16:
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new_w = round(video_h * best_match['ratio'])
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if new_w % 8 != 0:
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new_w = new_w + (8 - (new_w % 8))
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new_w = min(new_w, video_w)
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new_x = round((video_w - new_w) / 2)
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if new_x % 2 != 0:
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new_x -= 1
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new_x = max(0, new_x)
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return f"crop={new_w}:{video_h}:{new_x}:0", best_match['name']
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return f"crop={w}:{h}:{x}:{y}", None
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def _cluster_crop_values_cropdetect(crop_counts, tolerance=8):
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clusters = []
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temp_counts = crop_counts.copy()
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while temp_counts:
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center_str, _ = temp_counts.most_common(1)[0]
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try:
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_, values = center_str.split('=');
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cw, ch, cx, cy = map(int, values.split(':'))
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except (ValueError, IndexError):
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del temp_counts[center_str]
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continue
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cluster_total_count = 0
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crops_to_remove = []
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for crop_str, count in temp_counts.items():
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try:
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_, values = crop_str.split('=');
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w, h, x, y = map(int, values.split(':'))
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if abs(x - cx) <= tolerance and abs(y - cy) <= tolerance:
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cluster_total_count += count
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crops_to_remove.append(crop_str)
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except (ValueError, IndexError):
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continue
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if cluster_total_count > 0:
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clusters.append({'center': center_str, 'count': cluster_total_count})
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for crop_str in crops_to_remove:
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del temp_counts[crop_str]
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clusters.sort(key=lambda c: c['count'], reverse=True)
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return clusters
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def _parse_crop_string_cropdetect(crop_str):
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try:
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_, values = crop_str.split('=');
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w, h, x, y = map(int, values.split(':'))
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return {'w': w, 'h': h, 'x': x, 'y': y}
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except (ValueError, IndexError):
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return None
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def _calculate_bounding_box_cropdetect(crop_keys):
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min_x = min_w = min_y = min_h = float('inf')
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max_x = max_w = max_y = max_h = float('-inf')
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for key in crop_keys:
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parsed = _parse_crop_string_cropdetect(key)
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if not parsed:
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|
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 parse_arguments() -> argparse.Namespace:
|
|
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.")
|
|
return parser.parse_args()
|
|
|
|
def process_file(file_path: Path, no_downmix: bool, autocrop: bool) -> None:
|
|
current_dir = Path(".")
|
|
log_file_name = f"{file_path.stem}.log"
|
|
log_file_path = DIR_CONV_LOGS / log_file_name
|
|
|
|
# Setup logging for this file
|
|
setup_logging(log_file_path)
|
|
|
|
logging.info(f"STARTING LOG FOR: {file_path.name}")
|
|
logging.info(f"Processing started at: {datetime.now()}")
|
|
logging.info(f"Full input file path: {file_path.resolve()}")
|
|
logging.info("-" * 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
|
|
processing_error_occurred = False
|
|
|
|
start_time = datetime.now()
|
|
|
|
try:
|
|
audio_temp_dir = tempfile.mkdtemp(prefix="anime_audio_")
|
|
logging.info(f"Audio temporary directory created at: {audio_temp_dir}")
|
|
logging.info(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)
|
|
if not ffprobe_info_json:
|
|
raise RuntimeError("ffprobe failed to return info")
|
|
ffprobe_info = json.loads(ffprobe_info_json)
|
|
|
|
mkvmerge_info_json = run_cmd([
|
|
"mkvmerge", "-J", str(input_file_abs)
|
|
], capture_output=True)
|
|
if not mkvmerge_info_json:
|
|
raise RuntimeError("mkvmerge failed to return info")
|
|
mkv_info = json.loads(mkvmerge_info_json)
|
|
|
|
mediainfo_json = run_cmd([
|
|
"mediainfo", "--Output=JSON", "-f", str(input_file_abs)
|
|
], capture_output=True)
|
|
if not mediainfo_json:
|
|
raise RuntimeError("mediainfo failed to return info")
|
|
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
|
|
logging.info(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:
|
|
logging.info(f" - Using MediaInfo FrameRate ({target_cfr_fps_for_handbrake}) as fallback for HandBrake target FPS.")
|
|
|
|
if target_cfr_fps_for_handbrake:
|
|
logging.info(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}"
|
|
logging.info(f" - Converted fractional FPS to decimal for HandBrake: {target_cfr_fps_for_handbrake}")
|
|
except ValueError:
|
|
logging.info(f" - Warning: Could not parse fractional FPS '{target_cfr_fps_for_handbrake}'. HandBrakeCLI might fail.")
|
|
is_vfr = False
|
|
else:
|
|
logging.info(" - Warning: VFR detected, but could not determine target CFR from MediaInfo. Will attempt standard UTVideo conversion without HandBrake.")
|
|
is_vfr = False
|
|
else:
|
|
logging.info(f" - Video appears to be CFR or FrameRate_Mode not specified as VFR/Variable by MediaInfo.")
|
|
|
|
autocrop_filter = None
|
|
if autocrop:
|
|
logging.info("--- Running autocrop detection ---")
|
|
autocrop_filter = detect_autocrop_filter(str(input_file_abs))
|
|
if autocrop_filter:
|
|
logging.info(f" - Autocrop filter detected: {autocrop_filter}")
|
|
else:
|
|
logging.info(" - 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
|
|
)
|
|
|
|
logging.info("--- 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
|
|
|
|
logging.info(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
|
|
})
|
|
|
|
logging.info("--- Finished Audio Processing ---")
|
|
|
|
# Final mux
|
|
logging.info("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
|
|
logging.info("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)
|
|
|
|
logging.info("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",
|
|
current_dir / f"{file_path.stem}.ut.mkv.ffindex",
|
|
]
|
|
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():
|
|
logging.info(f" Deleting: {temp_vid_file}")
|
|
temp_vid_file.unlink(missing_ok=True)
|
|
else:
|
|
logging.info(f" Skipping (not found): {temp_vid_file}")
|
|
|
|
except Exception as e:
|
|
logging.error(f"ERROR: An error occurred while processing '{file_path.name}': {e}")
|
|
processing_error_occurred = True
|
|
finally:
|
|
logging.info("--- Starting Universal Cleanup (for this file) ---")
|
|
logging.info(" - Cleaning up disposable audio temporary directory...")
|
|
if audio_temp_dir and Path(audio_temp_dir).exists():
|
|
shutil.rmtree(audio_temp_dir, ignore_errors=True)
|
|
logging.info(f" - Deleted audio temp dir: {audio_temp_dir}")
|
|
elif audio_temp_dir:
|
|
logging.info(f" - Audio temp dir not found or already cleaned: {audio_temp_dir}")
|
|
else:
|
|
logging.info(f" - Audio temp dir was not created.")
|
|
|
|
logging.info(" - Cleaning up intermediate output file (if it wasn't moved on success)...")
|
|
if intermediate_output_file.exists():
|
|
if processing_error_occurred:
|
|
logging.warning(f" - WARNING: Processing error occurred. Intermediate output file '{intermediate_output_file}' is being preserved at its original path for inspection.")
|
|
else:
|
|
logging.info(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)
|
|
logging.info(f" - Deleted intermediate output file from original path: {intermediate_output_file}")
|
|
else:
|
|
if not processing_error_occurred:
|
|
logging.info(f" - Intermediate output file successfully moved (not found at original path, as expected): {intermediate_output_file}")
|
|
else:
|
|
logging.info(f" - Processing error occurred, and intermediate output file '{intermediate_output_file}' not found at original path (likely not created or cleaned by another step).")
|
|
|
|
runtime = datetime.now() - start_time
|
|
runtime_str = str(runtime).split('.')[0]
|
|
logging.info(f"\nTotal runtime for this file: {runtime_str}")
|
|
logging.info(f"FINISHED LOG FOR: {file_path.name}")
|
|
|
|
def main() -> None:
|
|
args = parse_arguments()
|
|
check_tools()
|
|
|
|
# Override default SVT-AV1 params if provided via command line
|
|
if args.speed:
|
|
SVT_AV1_PARAMS["speed"] = args.speed
|
|
if args.quality:
|
|
SVT_AV1_PARAMS["quality"] = args.quality
|
|
if args.grain is not None:
|
|
SVT_AV1_PARAMS["film-grain"] = args.grain
|
|
|
|
current_dir = Path(".")
|
|
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)
|
|
|
|
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
|
|
|
|
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
|
|
|
|
process_file(file_path, args.no_downmix, args.autocrop)
|
|
|
|
if __name__ == "__main__":
|
|
import argparse
|
|
main()
|