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vllm-omni/vllm_omni/benchmarks/duplex/omni_duplex_eval_media.py
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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM-Omni project
"""Small media helpers used by the duplex runner and judge.
Video and audio decoding is delegated to PyAV (``av``), which bundles a pinned
FFmpeg version, so results do not depend on whatever ffmpeg binary the host
provides (see #7364: host ffmpeg 4.4.2 could hang forever on some HEVC clips).
"""
from __future__ import annotations
import io
import logging
import os
import tempfile
import wave
from collections.abc import Iterator
from pathlib import Path
from typing import Any
from vllm_omni.experimental.fullduplex.client import PCM16_BYTES_PER_SAMPLE, PCM16_SAMPLE_RATE
logger = logging.getLogger(__name__)
def materialize_media(value: Any, output_dir: str | Path, stem: str, suffix: str) -> Path:
"""Resolve common Hugging Face media values to a local file.
``str``/``Path`` values are returned as-is. Inline byte payloads (a
``bytes``/``bytearray`` or a Hugging Face ``Audio``/``Video``/``Image``
feature mapping ``{"bytes": ..., "path": ...}``) are written to a real file
under ``output_dir`` and that existing path is returned. For such mappings
the ``path`` key is the original artifact name inside the dataset, which is
usually *not* present on the local disk, so it is only used to pick a
content extension and never treated as an existing file. A mapping or
object carrying only a ``path`` (no inline ``bytes``) is returned as an
already-materialized file reference.
"""
if isinstance(value, str | Path):
return Path(value)
path = value.get("path") if isinstance(value, dict) else getattr(value, "path", None)
payload = value.get("bytes") if isinstance(value, dict) else getattr(value, "bytes", None)
if payload is None and isinstance(value, bytes | bytearray):
payload = value
if payload is not None:
return _write_media_bytes(payload, output_dir, stem, _media_extension(path, suffix))
if path:
return Path(path)
raise ValueError(f"cannot materialize media value for {stem!r}")
def _media_extension(path: str | Path | None, fallback: str) -> str:
"""Pick a safe lower-case file extension from ``path`` when available."""
extension = Path(str(path)).suffix.lower() if path else ""
if extension.startswith(".") and len(extension) <= 8 and extension[1:].isalnum():
return extension
return fallback
def _write_media_bytes(payload: bytes | bytearray, output_dir: str | Path, stem: str, extension: str) -> Path:
data = bytes(payload)
root = Path(output_dir)
root.mkdir(parents=True, exist_ok=True)
destination = root / f"{stem}{extension}"
if destination.exists() and destination.stat().st_size == len(data) and destination.read_bytes() == data:
return destination
fd, temporary = tempfile.mkstemp(dir=root, prefix=f".{destination.name}.", suffix=".part")
try:
with os.fdopen(fd, "wb") as handle:
handle.write(data)
os.replace(temporary, destination)
except OSError:
try:
os.unlink(temporary)
except OSError:
pass
raise
return destination
def video_duration(path: str | Path) -> float:
"""Return the video duration in seconds using PyAV (no ffprobe subprocess).
Raises:
OSError: If the file cannot be opened (missing file, permission denied, etc.).
ValueError: If the file is corrupt or cannot be parsed (e.g.
:class:`av.error.InvalidDataError`).
"""
import av
try:
with av.open(str(path)) as container:
# Container-level duration is the same source ffprobe's format=duration reads.
if container.duration and container.duration > 0:
return max(0.0, container.duration / av.time_base)
if container.streams.video:
stream = container.streams.video[0]
if stream.duration is not None and stream.time_base is not None:
return max(0.0, float(stream.duration * stream.time_base))
# Last resort: count decodable frames.
if container.streams.video:
stream = container.streams.video[0]
stream.thread_type = "AUTO"
frame_count = sum(1 for _ in container.decode(stream))
if stream.average_rate and frame_count > 0:
return frame_count / float(stream.average_rate)
return 0.0
except (OSError, ValueError) as exc:
logger.warning("Failed to read video duration from %s: %s", path, exc)
raise
def extract_jpeg(path: str | Path, *, timestamp: float, quality: int = 3) -> bytes:
"""Extract a single JPEG frame at ``timestamp`` using PyAV.
``quality`` follows the ffmpeg ``-q:v`` convention (lower = better, 1..31)
and is mapped to the PIL JPEG quality scale (higher = better).
After ``seek`` the function continues decoding until a frame with PTS >=
target_pts is found, matching the ``ffmpeg -ss`` semantic of returning the
first decodable frame *at or after* the requested timestamp.
Raises:
ValueError: If the file contains no video stream or no frame could be decoded.
"""
import av
with av.open(str(path)) as container:
if not container.streams.video:
raise ValueError(f"no video stream in {path}")
stream = container.streams.video[0]
stream.thread_type = "AUTO"
time_base = stream.time_base
if time_base is None:
time_base = 1 / 90000
target_pts = int(max(0.0, timestamp) / time_base)
container.seek(target_pts, any_frame=False, backward=True, stream=stream)
closest_frame = None
for frame in container.decode(stream):
closest_frame = frame
if frame.pts is not None and frame.pts >= target_pts:
break
if closest_frame is not None:
image = closest_frame.to_image()
buf = io.BytesIO()
image.save(buf, format="JPEG", quality=_ffmpeg_q_to_pil_quality(quality))
return buf.getvalue()
raise ValueError(f"no decodable video frames in {path} at timestamp {timestamp}")
def iter_jpegs(
path: str | Path, *, fps: float = 1.0, duration: float | None = None, quality: int = 3
) -> Iterator[tuple[float, bytes]]:
end = duration if duration is not None else video_duration(path)
step = 1.0 / fps
timestamp = 0.0
while timestamp < end:
try:
frame = extract_jpeg(path, timestamp=timestamp, quality=quality)
except (OSError, ValueError) as exc:
logger.warning("Frame extraction failed at %.3fs for %s: %s", timestamp, path, exc)
break
if frame:
yield timestamp, frame
timestamp += step
def read_audio_pcm16(path: str | Path) -> bytes:
source = Path(path)
if source.suffix.lower() == ".wav":
try:
with wave.open(str(source), "rb") as wav_file:
if (
wav_file.getnchannels() == 1
and wav_file.getsampwidth() == 2
and wav_file.getframerate() == PCM16_SAMPLE_RATE
and wav_file.getcomptype() == "NONE"
):
return wav_file.readframes(wav_file.getnframes())
except (wave.Error, OSError):
pass
# Non-WAV audio: decode and resample to mono s16 PCM via PyAV.
import av
import numpy as np
try:
resampler = av.AudioResampler(format="s16", layout="mono", rate=PCM16_SAMPLE_RATE)
chunks: list[Any] = []
with av.open(str(source)) as container:
for frame in container.decode(audio=0):
for resampled in resampler.resample(frame):
chunks.append(resampled.to_ndarray())
# Flush the resampler to drain buffered tail samples (P3).
for resampled in resampler.resample(None):
chunks.append(resampled.to_ndarray())
if not chunks:
return b""
return np.concatenate([chunk.reshape(-1) for chunk in chunks]).astype(np.int16).tobytes()
except (OSError, ValueError) as exc:
logger.warning("Failed to decode audio in %s: %s", source, exc)
raise
def iter_av_units(
audio_pcm16: bytes, frames: Iterator[tuple[float, bytes]], *, unit_ms: int = 1000
) -> Iterator[tuple[bytes, bytes | None]]:
unit_bytes = PCM16_SAMPLE_RATE * PCM16_BYTES_PER_SAMPLE * unit_ms // 1000
frame_iter = iter(frames)
next_frame = next(frame_iter, None)
for offset in range(0, len(audio_pcm16), unit_bytes):
timestamp = offset / (PCM16_SAMPLE_RATE * PCM16_BYTES_PER_SAMPLE)
frame = None
if next_frame is not None and next_frame[0] <= timestamp + unit_ms / 1000:
frame = next_frame[1]
next_frame = next(frame_iter, None)
yield audio_pcm16[offset : offset + unit_bytes], frame
def _ffmpeg_q_to_pil_quality(quality: int) -> int:
"""Map ffmpeg ``-q:v`` (1..31, lower = better) to PIL JPEG quality (1..100, higher = better)."""
ffmpeg_q = max(1, min(31, int(quality)))
return max(1, min(100, round(95 - (ffmpeg_q - 1) * (93 / 30))))