"""
FFmpeg-based video cutting engine.
Uses stream copy for fast, lossless cuts and falls back to re-encode when needed.
"""

import logging
import subprocess
import tempfile
import os
from pathlib import Path
from typing import List

logger = logging.getLogger(__name__)


def _get_codec_args(format_hint: str, has_video: bool = True) -> list:
    """Return FFmpeg codec arguments for the given format."""
    if format_hint == "wav":
        return ["-c:a", "pcm_s16le"]
    if format_hint == "webm":
        if has_video:
            return ["-c:v", "libvpx-vp9", "-crf", "30", "-b:v", "0", "-c:a", "libopus"]
        return ["-c:a", "libopus", "-b:a", "160k"]
    # Default: MP4
    if has_video:
        return ["-c:v", "libx264", "-preset", "medium", "-crf", "18", "-c:a", "aac", "-b:a", "192k"]
    return ["-c:a", "aac", "-b:a", "192k"]


def _input_has_video_stream(ffmpeg_cmd: str, input_path: str) -> bool:
    """Return True if the input contains at least one video stream."""
    ffprobe = ffmpeg_cmd.replace("ffmpeg", "ffprobe")
    cmd = [
        ffprobe,
        "-v", "error",
        "-select_streams", "v:0",
        "-show_entries", "stream=index",
        "-of", "csv=p=0",
        str(input_path),
    ]
    try:
        result = subprocess.run(cmd, capture_output=True, text=True)
        return result.returncode == 0 and bool(result.stdout.strip())
    except Exception:
        return False


def _clamp_speed(speed: float) -> float:
    return max(0.25, min(4.0, float(speed)))


def _build_atempo_chain(speed: float) -> str:
    """Build an FFmpeg atempo chain since each atempo node only supports 0.5..2.0."""
    s = _clamp_speed(speed)
    filters = []
    while s > 2.0:
        filters.append("atempo=2.0")
        s /= 2.0
    while s < 0.5:
        filters.append("atempo=0.5")
        s /= 0.5
    filters.append(f"atempo={s:.6f}")
    return ",".join(filters)


def _split_keep_segments_by_speed(
    keep_segments: List[dict],
    speed_ranges: List[dict] = None,
) -> List[dict]:
    """Split keep segments by speed ranges, attaching speed multiplier per piece."""
    if not keep_segments:
        return []

    normalized_ranges = []
    for r in speed_ranges or []:
        start = float(r.get("start", 0.0))
        end = float(r.get("end", 0.0))
        if end <= start:
            continue
        normalized_ranges.append({
            "start": start,
            "end": end,
            "speed": _clamp_speed(float(r.get("speed", 1.0))),
        })
    normalized_ranges.sort(key=lambda x: x["start"])

    result = []
    for keep in keep_segments:
        k_start = float(keep["start"])
        k_end = float(keep["end"])
        if k_end <= k_start:
            continue

        cuts = {k_start, k_end}
        for sr in normalized_ranges:
            overlap_start = max(k_start, sr["start"])
            overlap_end = min(k_end, sr["end"])
            if overlap_end > overlap_start:
                cuts.add(overlap_start)
                cuts.add(overlap_end)

        points = sorted(cuts)
        for i in range(len(points) - 1):
            seg_start = points[i]
            seg_end = points[i + 1]
            if seg_end - seg_start < 1e-6:
                continue

            speed = 1.0
            for sr in normalized_ranges:
                if seg_start >= sr["start"] and seg_end <= sr["end"]:
                    speed = sr["speed"]
                    break

            result.append({"start": seg_start, "end": seg_end, "speed": speed})

    return result


def _build_zoom_filter(zoom_config: dict = None) -> str:
    """Build FFmpeg video filter snippet for zoom/punch-in effect.
    
    zoom_config: {enabled, zoomFactor, panX, panY}
    Returns empty string if disabled. Should be prepended to the video filter chain.
    """
    if not zoom_config or not zoom_config.get("enabled"):
        return ""
    factor = float(zoom_config.get("zoomFactor", 1.0))
    if abs(factor - 1.0) < 0.01:
        return ""
    pan_x = float(zoom_config.get("panX", 0.0))
    pan_y = float(zoom_config.get("panY", 0.0))
    return f"crop=iw/{factor}:ih/{factor}:((iw-iw/{factor})/2)+({pan_x}*(iw-iw/{factor})/2):((ih-ih/{factor})/2)+({pan_y}*(ih-ih/{factor})/2),scale=iw:ih"


def mix_background_music(
    video_path: str,
    music_path: str,
    output_path: str,
    volume_db: float = 0.0,
    ducking_enabled: bool = False,
    ducking_db: float = 6.0,
    ducking_attack_ms: float = 10.0,
    ducking_release_ms: float = 200.0,
) -> str:
    """Mix background music into a video with optional ducking.
    
    Uses FFmpeg amix + sidechaincompress. Output is written to output_path.
    """
    ffmpeg = _find_ffmpeg()
    escaped_music = music_path.replace("\\", "/").replace(":", "\\:")
    
    # Build the filter graph
    if ducking_enabled:
        filter_complex = (
            f"[0:a]asplit[main][sidechain];"
            f"movie='{escaped_music}':loop=0,volume={volume_db}dB[music];"
            f"[main][music]amix=inputs=2:duration=first:dropout_transition=2[mixed];"
            f"[mixed][sidechain]sidechaincompress="
            f"threshold=-30dB:ratio=100:attack={ducking_attack_ms}ms:"
            f"release={ducking_release_ms}ms:makeup=1:level_sc={ducking_db}[outa]"
        )
    else:
        filter_complex = (
            f"movie='{escaped_music}':loop=0,volume={volume_db}dB[music];"
            f"[0:a][music]amix=inputs=2:duration=first:dropout_transition=2[outa]"
        )
    
    cmd = [
        ffmpeg, "-y",
        "-i", video_path,
        "-filter_complex", filter_complex,
        "-map", "0:v",
        "-map", "[outa]",
        "-c:v", "copy",
        "-c:a", "aac", "-b:a", "192k",
        "-shortest",
        output_path,
    ]
    
    result = subprocess.run(cmd, capture_output=True, text=True)
    if result.returncode != 0:
        raise RuntimeError(f"Background music mix failed: {result.stderr[-500:]}")
    
    return output_path


def concat_clips(
    main_path: str,
    append_paths: list,
    output_path: str,
) -> str:
    """Concatenate multiple video clips using FFmpeg concat demuxer.
    
    The main_path is kept as-is. append_paths are appended after it.
    """
    if not append_paths:
        raise ValueError("No clips to concatenate")
    
    ffmpeg = _find_ffmpeg()
    import tempfile
    import os
    
    temp_dir = tempfile.mkdtemp(prefix="aive_concat_")
    try:
        segment_files = [main_path]
        segment_files.extend(append_paths)
        
        # Create concat file list
        concat_file = os.path.join(temp_dir, "concat.txt")
        with open(concat_file, "w") as f:
            for path in segment_files:
                resolved = os.path.abspath(path)
                f.write(f"file '{resolved}'\n")
        
        cmd = [
            ffmpeg, "-y",
            "-f", "concat",
            "-safe", "0",
            "-i", concat_file,
            "-c", "copy",
            "-movflags", "+faststart",
            output_path,
        ]
        
        result = subprocess.run(cmd, capture_output=True, text=True)
        if result.returncode != 0:
            raise RuntimeError(f"Clip concat failed: {result.stderr[-500:]}")
        
        return output_path
    finally:
        for f in os.listdir(temp_dir):
            try:
                os.remove(os.path.join(temp_dir, f))
            except OSError:
                pass
        try:
            os.rmdir(temp_dir)
        except OSError:
            pass


def _find_ffmpeg() -> str:
    """Locate ffmpeg binary."""
    for cmd in ["ffmpeg", "ffmpeg.exe"]:
        try:
            subprocess.run([cmd, "-version"], capture_output=True, check=True)
            return cmd
        except (FileNotFoundError, subprocess.CalledProcessError):
            continue
    raise RuntimeError("FFmpeg not found. Install it or add it to PATH.")


def export_stream_copy(
    input_path: str,
    output_path: str,
    keep_segments: List[dict],
    mute_ranges: List[dict] = None,
) -> str:
    """
    Export video using FFmpeg concat demuxer with stream copy.
    ~100x faster than re-encoding. No quality loss.
    Falls back to re-encoding if mute_ranges are provided.

    Args:
        input_path: source video file
        output_path: destination file
        keep_segments: list of {"start": float, "end": float} to keep
        mute_ranges: list of {"start": float, "end": float} to mute (optional)

    Returns:
        output_path on success
    """
    if mute_ranges:
        # Mute ranges require audio filtering, so fall back to re-encode
        return export_reencode(input_path, output_path, keep_segments, "1080p", "mp4", mute_ranges)
    ffmpeg = _find_ffmpeg()
    if not _input_has_video_stream(ffmpeg, input_path):
        # Audio-only inputs cannot use TS segment stream-copy concat reliably.
        return export_reencode(input_path, output_path, keep_segments)

    input_path = str(Path(input_path).resolve())
    output_path = str(Path(output_path).resolve())

    if not keep_segments:
        raise ValueError("No segments to export")

    temp_dir = tempfile.mkdtemp(prefix="aive_export_")

    try:
        segment_files = []
        for i, seg in enumerate(keep_segments):
            seg_file = os.path.join(temp_dir, f"seg_{i:04d}.ts")
            cmd = [
                ffmpeg, "-y",
                "-ss", str(seg["start"]),
                "-to", str(seg["end"]),
                "-i", input_path,
                "-c", "copy",
                "-avoid_negative_ts", "make_zero",
                "-f", "mpegts",
                seg_file,
            ]
            logger.info(f"Extracting segment {i}: {seg['start']:.2f}s - {seg['end']:.2f}s")
            result = subprocess.run(cmd, capture_output=True, text=True)
            if result.returncode != 0:
                logger.warning(f"Stream copy segment {i} failed, will try re-encode: {result.stderr[-200:]}")
                return export_reencode(input_path, output_path, keep_segments)
            segment_files.append(seg_file)

        concat_str = "|".join(segment_files)
        cmd = [
            ffmpeg, "-y",
            "-i", f"concat:{concat_str}",
            "-c", "copy",
            "-movflags", "+faststart",
            output_path,
        ]
        logger.info(f"Concatenating {len(segment_files)} segments -> {output_path}")
        result = subprocess.run(cmd, capture_output=True, text=True)
        if result.returncode != 0:
            logger.warning(f"Concat failed, falling back to re-encode: {result.stderr[-200:]}")
            return export_reencode(input_path, output_path, keep_segments)

        return output_path

    finally:
        for f in os.listdir(temp_dir):
            try:
                os.remove(os.path.join(temp_dir, f))
            except OSError:
                pass
        try:
            os.rmdir(temp_dir)
        except OSError:
            pass


def _apply_zoom_post(input_path: str, output_path: str, zoom_config: dict) -> str:
    """Re-encode video applying zoom/punch-in crop+scale as a post-process step."""
    ffmpeg = _find_ffmpeg()
    zoom_filter = _build_zoom_filter(zoom_config)
    if not zoom_filter:
        return input_path
    
    cmd = [
        ffmpeg, "-y",
        "-i", input_path,
        "-filter_complex", f"[0:v]{zoom_filter}[v]",
        "-map", "[v]",
        "-map", "0:a?",
        "-c:a", "copy",
        "-movflags", "+faststart",
        output_path,
    ]
    result = subprocess.run(cmd, capture_output=True, text=True)
    if result.returncode != 0:
        raise RuntimeError(f"Zoom post-process failed: {result.stderr[-500:]}")
    return output_path


def export_reencode(
    input_path: str,
    output_path: str,
    keep_segments: List[dict],
    resolution: str = "1080p",
    format_hint: str = "mp4",
    mute_ranges: List[dict] = None,
    gain_ranges: List[dict] = None,
    speed_ranges: List[dict] = None,
    global_gain_db: float = 0.0,
    normalize_loudness: bool = False,
    normalize_target_lufs: float = -14.0,
    zoom_config: dict = None,
) -> str:
    """
    Export video with full re-encode. Slower but supports resolution changes,
    format conversion, and avoids stream-copy edge cases.
    If mute_ranges are provided, applies audio muting instead of cutting.
    """
    ffmpeg = _find_ffmpeg()
    input_path = str(Path(input_path).resolve())
    output_path = str(Path(output_path).resolve())

    scale_map = {
        "720p": "scale=-2:720",
        "1080p": "scale=-2:1080",
        "4k": "scale=-2:2160",
    }

    def build_audio_filter() -> str:
        filters = []
        if abs(float(global_gain_db)) > 1e-6:
            filters.append(f"volume={float(global_gain_db)}dB")

        for gain_range in gain_ranges or []:
            start = gain_range['start']
            end = gain_range['end']
            gain_db = gain_range.get('gain_db', 0.0)
            filters.append(f"volume={float(gain_db)}dB:enable='between(t,{start},{end})'")

        for mute_range in mute_ranges or []:
            start = mute_range['start']
            end = mute_range['end']
            filters.append(f"volume=0:enable='between(t,{start},{end})'")

        if normalize_loudness:
            filters.append(f"loudnorm=I={normalize_target_lufs}:LRA=7:TP=-1.5")

        return ",".join(filters) if filters else "anull"

    has_audio_filters = bool(mute_ranges) or bool(gain_ranges) or abs(float(global_gain_db)) > 1e-6
    has_video = _input_has_video_stream(ffmpeg, input_path)

    speed_segments = _split_keep_segments_by_speed(keep_segments, speed_ranges)
    has_speed = any(abs(seg.get("speed", 1.0) - 1.0) > 1e-6 for seg in speed_segments)

    if not has_video:
        if not keep_segments:
            raise ValueError("No segments to export")

        segments_for_concat = speed_segments if speed_segments else _split_keep_segments_by_speed(keep_segments, None)
        if not segments_for_concat:
            raise ValueError("No segments to export")

        filter_parts = []
        for i, seg in enumerate(segments_for_concat):
            speed = _clamp_speed(seg.get("speed", 1.0))
            a_chain = f"atrim=start={seg['start']}:end={seg['end']},asetpts=PTS-STARTPTS"
            if abs(speed - 1.0) > 1e-6:
                a_chain += f",{_build_atempo_chain(speed)}"
            filter_parts.append(f"[0:a]{a_chain}[a{i}];")

        n = len(segments_for_concat)
        concat_inputs = "".join(f"[a{i}]" for i in range(n))
        filter_parts.append(f"{concat_inputs}concat=n={n}:v=0:a=1[outa_raw]")

        audio_filter = build_audio_filter()
        if audio_filter != "anull":
            filter_parts.append(f";[outa_raw]{audio_filter}[outa]")
            audio_map = "[outa]"
        else:
            audio_map = "[outa_raw]"

        filter_complex = "".join(filter_parts)

        codec_args = _get_codec_args(format_hint, has_video=False)

        cmd = [
            ffmpeg, "-y",
            "-i", input_path,
            "-filter_complex", filter_complex,
            "-map", audio_map,
            *codec_args,
            output_path,
        ]

        logger.info(
            "Re-encoding audio-only input (%s segments, speed-adjusted=%s) -> %s",
            n,
            has_speed,
            output_path,
        )

        result = subprocess.run(cmd, capture_output=True, text=True)
        if result.returncode != 0:
            raise RuntimeError(f"FFmpeg audio-only export failed: {result.stderr[-500:]}")

        return output_path

    # Handle filtered full-timeline audio case (mute/gain/global gain) when no speed warping is needed
    if has_audio_filters and not has_speed:
        audio_filter = build_audio_filter()

        # Video filter - just scaling if needed
        scale = scale_map.get(resolution, "")
        if scale:
            video_filter = scale
            video_map = "[v]"
        else:
            video_filter = "null"
            video_map = "0:v"

        filter_complex = f"[0:a]{audio_filter}[a];[0:v]{video_filter}{video_map}"

        codec_args = _get_codec_args(format_hint, has_video)

        cmd = [
            ffmpeg, "-y",
            "-i", input_path,
            "-filter_complex", filter_complex,
            "-map", video_map,
            "-map", "[a]",
            *codec_args,
            "-movflags", "+faststart",
            output_path,
        ]

        logger.info(
            "Re-encoding with audio filters (mute=%s gain=%s global=%s) -> %s (%s)",
            len(mute_ranges or []),
            len(gain_ranges or []),
            global_gain_db,
            output_path,
            resolution,
        )
    else:
        # Cutting logic with optional per-segment speed changes
        if not keep_segments:
            raise ValueError("No segments to export")

        segments_for_concat = speed_segments if speed_segments else _split_keep_segments_by_speed(keep_segments, None)
        if not segments_for_concat:
            raise ValueError("No segments to export")

        filter_parts = []
        for i, seg in enumerate(segments_for_concat):
            speed = _clamp_speed(seg.get("speed", 1.0))
            v_chain = f"trim=start={seg['start']}:end={seg['end']},setpts=PTS-STARTPTS"
            a_chain = f"atrim=start={seg['start']}:end={seg['end']},asetpts=PTS-STARTPTS"
            if abs(speed - 1.0) > 1e-6:
                v_chain += f",setpts=PTS/{speed:.6f}"
                a_chain += f",{_build_atempo_chain(speed)}"
            filter_parts.append(f"[0:v]{v_chain}[v{i}];[0:a]{a_chain}[a{i}];")

        n = len(segments_for_concat)
        concat_inputs = "".join(f"[v{i}][a{i}]" for i in range(n))
        filter_parts.append(f"{concat_inputs}concat=n={n}:v=1:a=1[outv][outa]")

        filter_complex = "".join(filter_parts)

        # Add loudnorm to the cutting path audio chain if enabled
        audio_map_label = "[outa]"
        if normalize_loudness:
            filter_complex += f";{audio_map_label}loudnorm=I={normalize_target_lufs}:LRA=7:TP=-1.5[outa_norm]"
            audio_map_label = "[outa_norm]"

        scale = scale_map.get(resolution, "")
        if scale:
            filter_complex += f";[outv]{scale}[outv_scaled]"
            video_map = "[outv_scaled]"
        else:
            video_map = "[outv]"

        codec_args = _get_codec_args(format_hint, has_video)

        cmd = [
            ffmpeg, "-y",
            "-i", input_path,
            "-filter_complex", filter_complex,
            "-map", video_map,
            "-map", audio_map_label,
            *codec_args,
            "-movflags", "+faststart",
            output_path,
        ]

        logger.info(
            "Re-encoding %s segments (speed-adjusted=%s, normalize=%s) -> %s (%s)",
            n,
            has_speed,
            normalize_loudness,
            output_path,
            resolution,
        )

    result = subprocess.run(cmd, capture_output=True, text=True)
    if result.returncode != 0:
        raise RuntimeError(f"FFmpeg re-encode failed: {result.stderr[-500:]}")

    # Apply zoom post-processing if configured
    if zoom_config and zoom_config.get("enabled") and has_video:
        import tempfile as _tf
        import os as _os
        zoomed_path = output_path + ".zoomed.mp4"
        _apply_zoom_post(output_path, zoomed_path, zoom_config)
        _os.replace(zoomed_path, output_path)
        logger.info("Zoom/punch-in applied to %s (factor=%s)", output_path, zoom_config.get("zoomFactor", 1.0))

    return output_path


def export_reencode_with_subs(
    input_path: str,
    output_path: str,
    keep_segments: List[dict],
    subtitle_path: str,
    resolution: str = "1080p",
    format_hint: str = "mp4",
    mute_ranges: List[dict] = None,
    gain_ranges: List[dict] = None,
    speed_ranges: List[dict] = None,
    global_gain_db: float = 0.0,
    normalize_loudness: bool = False,
    normalize_target_lufs: float = -14.0,
    zoom_config: dict = None,
) -> str:
    """
    Export video with re-encode and burn-in subtitles (ASS format).
    Applies trim+concat first, then overlays the subtitle file.
    If mute_ranges are provided, applies audio muting instead of cutting.
    """
    ffmpeg = _find_ffmpeg()
    if not _input_has_video_stream(ffmpeg, input_path):
        raise ValueError("Burn-in captions require a video track")

    input_path = str(Path(input_path).resolve())
    output_path = str(Path(output_path).resolve())
    subtitle_path = str(Path(subtitle_path).resolve())

    scale_map = {
        "720p": "scale=-2:720",
        "1080p": "scale=-2:1080",
        "4k": "scale=-2:2160",
    }

    def build_audio_filter() -> str:
        filters = []
        if abs(float(global_gain_db)) > 1e-6:
            filters.append(f"volume={float(global_gain_db)}dB")

        for gain_range in gain_ranges or []:
            start = gain_range['start']
            end = gain_range['end']
            gain_db = gain_range.get('gain_db', 0.0)
            filters.append(f"volume={float(gain_db)}dB:enable='between(t,{start},{end})'")

        for mute_range in mute_ranges or []:
            start = mute_range['start']
            end = mute_range['end']
            filters.append(f"volume=0:enable='between(t,{start},{end})'")

        if normalize_loudness:
            filters.append(f"loudnorm=I={normalize_target_lufs}:LRA=7:TP=-1.5")

        return ",".join(filters) if filters else "anull"

    has_audio_filters = bool(mute_ranges) or bool(gain_ranges) or abs(float(global_gain_db)) > 1e-6

    speed_segments = _split_keep_segments_by_speed(keep_segments, speed_ranges)
    has_speed = any(abs(seg.get("speed", 1.0) - 1.0) > 1e-6 for seg in speed_segments)

    # Handle filtered full-timeline audio case (mute/gain/global gain) when no speed warping is needed
    if has_audio_filters and not has_speed:
        audio_filter = build_audio_filter()

        # Video filter with subtitles
        escaped_sub = subtitle_path.replace("\\", "/").replace(":", "\\:")
        scale = scale_map.get(resolution, "")
        if scale:
            video_filter = f"{scale},ass='{escaped_sub}'"
        else:
            video_filter = f"ass='{escaped_sub}'"

        filter_complex = f"[0:a]{audio_filter}[a];[0:v]{video_filter}[v]"

        codec_args = _get_codec_args(format_hint, has_video=True)

        cmd = [
            ffmpeg, "-y",
            "-i", input_path,
            "-filter_complex", filter_complex,
            "-map", "[v]",
            "-map", "[a]",
            *codec_args,
            "-movflags", "+faststart",
            output_path,
        ]

        logger.info(
            "Re-encoding with subtitles and audio filters (mute=%s gain=%s global=%s) -> %s (%s)",
            len(mute_ranges or []),
            len(gain_ranges or []),
            global_gain_db,
            output_path,
            resolution,
        )
    else:
        # Cutting logic with subtitles and optional speed changes
        if not keep_segments:
            raise ValueError("No segments to export")

        segments_for_concat = speed_segments if speed_segments else _split_keep_segments_by_speed(keep_segments, None)
        if not segments_for_concat:
            raise ValueError("No segments to export")

        filter_parts = []
        for i, seg in enumerate(segments_for_concat):
            speed = _clamp_speed(seg.get("speed", 1.0))
            v_chain = f"trim=start={seg['start']}:end={seg['end']},setpts=PTS-STARTPTS"
            a_chain = f"atrim=start={seg['start']}:end={seg['end']},asetpts=PTS-STARTPTS"
            if abs(speed - 1.0) > 1e-6:
                v_chain += f",setpts=PTS/{speed:.6f}"
                a_chain += f",{_build_atempo_chain(speed)}"
            filter_parts.append(f"[0:v]{v_chain}[v{i}];[0:a]{a_chain}[a{i}];")

        n = len(segments_for_concat)
        concat_inputs = "".join(f"[v{i}][a{i}]" for i in range(n))
        filter_parts.append(f"{concat_inputs}concat=n={n}:v=1:a=1[outv][outa]")

        filter_complex = "".join(filter_parts)

        # Escape path for FFmpeg subtitle filter (Windows backslashes need escaping)
        escaped_sub = subtitle_path.replace("\\", "/").replace(":", "\\:")

        scale = scale_map.get(resolution, "")
        if scale:
            filter_complex += f";[outv]{scale},ass='{escaped_sub}'[outv_final]"
        else:
            filter_complex += f";[outv]ass='{escaped_sub}'[outv_final]"
        video_map = "[outv_final]"

        codec_args = _get_codec_args(format_hint, has_video=True)

        cmd = [
            ffmpeg, "-y",
            "-i", input_path,
            "-filter_complex", filter_complex,
            "-map", video_map,
            "-map", "[outa]",
            *codec_args,
            "-movflags", "+faststart",
            output_path,
        ]

        logger.info(
            "Re-encoding %s segments with subtitles (speed-adjusted=%s) -> %s (%s)",
            n,
            has_speed,
            output_path,
            resolution,
        )

    result = subprocess.run(cmd, capture_output=True, text=True)
    if result.returncode != 0:
        raise RuntimeError(f"FFmpeg re-encode with subs failed: {result.stderr[-500:]}")

    # Apply zoom post-processing if configured
    if zoom_config and zoom_config.get("enabled"):
        import tempfile as _tf
        import os as _os
        zoomed_path = output_path + ".zoomed.mp4"
        _apply_zoom_post(output_path, zoomed_path, zoom_config)
        _os.replace(zoomed_path, output_path)
        logger.info("Zoom/punch-in applied to %s (factor=%s)", output_path, zoom_config.get("zoomFactor", 1.0))

    return output_path


def get_video_info(input_path: str) -> dict:
    """Get basic video metadata using ffprobe."""
    ffmpeg = _find_ffmpeg()
    ffprobe = ffmpeg.replace("ffmpeg", "ffprobe")

    cmd = [
        ffprobe, "-v", "quiet",
        "-print_format", "json",
        "-show_format", "-show_streams",
        str(input_path),
    ]

    try:
        result = subprocess.run(cmd, capture_output=True, text=True, check=True)
        import json
        data = json.loads(result.stdout)
        fmt = data.get("format", {})
        video_stream = next((s for s in data.get("streams", []) if s.get("codec_type") == "video"), {})

        return {
            "duration": float(fmt.get("duration", 0)),
            "size": int(fmt.get("size", 0)),
            "format": fmt.get("format_name", ""),
            "width": int(video_stream.get("width", 0)),
            "height": int(video_stream.get("height", 0)),
            "codec": video_stream.get("codec_name", ""),
            "fps": eval(video_stream.get("r_frame_rate", "0/1")) if "/" in video_stream.get("r_frame_rate", "") else 0,
        }
    except Exception as e:
        logger.error(f"Failed to get video info: {e}")
        return {}