|
|
import warnings |
|
|
from pathlib import Path |
|
|
from typing import Literal |
|
|
|
|
|
import numpy as np |
|
|
|
|
|
try: |
|
|
from trackio.media.utils import check_ffmpeg_installed, check_path |
|
|
except ImportError: |
|
|
from media.utils import check_ffmpeg_installed, check_path |
|
|
|
|
|
|
|
|
try: |
|
|
from pydub import AudioSegment |
|
|
|
|
|
PYDUB_AVAILABLE = True |
|
|
except ImportError: |
|
|
PYDUB_AVAILABLE = False |
|
|
AudioSegment = None |
|
|
|
|
|
SUPPORTED_FORMATS = ["wav", "mp3"] |
|
|
AudioFormatType = Literal["wav", "mp3"] |
|
|
|
|
|
|
|
|
def ensure_int16_pcm(data: np.ndarray) -> np.ndarray: |
|
|
""" |
|
|
Convert input audio array to contiguous int16 PCM. |
|
|
Peak normalization is applied to floating inputs. |
|
|
""" |
|
|
arr = np.asarray(data) |
|
|
if arr.ndim not in (1, 2): |
|
|
raise ValueError("Audio data must be 1D (mono) or 2D ([samples, channels])") |
|
|
|
|
|
if arr.dtype != np.int16: |
|
|
warnings.warn( |
|
|
f"Converting {arr.dtype} audio to int16 PCM; pass int16 to avoid conversion.", |
|
|
stacklevel=2, |
|
|
) |
|
|
|
|
|
arr = np.nan_to_num(arr, copy=False) |
|
|
|
|
|
|
|
|
if np.issubdtype(arr.dtype, np.floating): |
|
|
max_abs = float(np.max(np.abs(arr))) if arr.size else 0.0 |
|
|
if max_abs > 0.0: |
|
|
arr = arr / max_abs |
|
|
out = (arr * 32767.0).clip(-32768, 32767).astype(np.int16, copy=False) |
|
|
return np.ascontiguousarray(out) |
|
|
|
|
|
converters: dict[np.dtype, callable] = { |
|
|
np.dtype(np.int16): lambda a: a, |
|
|
np.dtype(np.int32): lambda a: ( |
|
|
(a.astype(np.int32) // 65536).astype(np.int16, copy=False) |
|
|
), |
|
|
np.dtype(np.uint16): lambda a: ( |
|
|
(a.astype(np.int32) - 32768).astype(np.int16, copy=False) |
|
|
), |
|
|
np.dtype(np.uint8): lambda a: ( |
|
|
(a.astype(np.int32) * 257 - 32768).astype(np.int16, copy=False) |
|
|
), |
|
|
np.dtype(np.int8): lambda a: ( |
|
|
(a.astype(np.int32) * 256).astype(np.int16, copy=False) |
|
|
), |
|
|
} |
|
|
|
|
|
conv = converters.get(arr.dtype) |
|
|
if conv is not None: |
|
|
out = conv(arr) |
|
|
return np.ascontiguousarray(out) |
|
|
raise TypeError(f"Unsupported audio dtype: {arr.dtype}") |
|
|
|
|
|
|
|
|
def write_audio( |
|
|
data: np.ndarray, |
|
|
sample_rate: int, |
|
|
filename: str | Path, |
|
|
format: AudioFormatType = "wav", |
|
|
) -> None: |
|
|
if not isinstance(sample_rate, int) or sample_rate <= 0: |
|
|
raise ValueError(f"Invalid sample_rate: {sample_rate}") |
|
|
if format not in SUPPORTED_FORMATS: |
|
|
raise ValueError( |
|
|
f"Unsupported format: {format}. Supported: {SUPPORTED_FORMATS}" |
|
|
) |
|
|
|
|
|
check_path(filename) |
|
|
|
|
|
pcm = ensure_int16_pcm(data) |
|
|
|
|
|
|
|
|
if not PYDUB_AVAILABLE: |
|
|
if format == "wav": |
|
|
write_wav_simple(filename, pcm, sample_rate) |
|
|
return |
|
|
raise ImportError( |
|
|
"pydub is required for non-WAV formats. Install with: pip install pydub" |
|
|
) |
|
|
|
|
|
if format != "wav": |
|
|
check_ffmpeg_installed() |
|
|
|
|
|
channels = 1 if pcm.ndim == 1 else pcm.shape[1] |
|
|
audio = AudioSegment( |
|
|
pcm.tobytes(), |
|
|
frame_rate=sample_rate, |
|
|
sample_width=2, |
|
|
channels=channels, |
|
|
) |
|
|
|
|
|
file = audio.export(str(filename), format=format) |
|
|
file.close() |
|
|
|
|
|
|
|
|
def write_wav_simple( |
|
|
file_path: str | Path, data: np.ndarray, sample_rate: int = 44100 |
|
|
) -> None: |
|
|
"""Fallback for basic WAV export when pydub is not available.""" |
|
|
import wave |
|
|
|
|
|
pcm = ensure_int16_pcm(data) |
|
|
if pcm.ndim > 2: |
|
|
raise ValueError("Audio data must be 1D (mono) or 2D (stereo)") |
|
|
|
|
|
with wave.open(str(file_path), "wb") as wav_file: |
|
|
wav_file.setnchannels(1 if pcm.ndim == 1 else pcm.shape[1]) |
|
|
wav_file.setsampwidth(2) |
|
|
wav_file.setframerate(sample_rate) |
|
|
wav_file.writeframes(pcm.tobytes()) |
|
|
|