"""SelVA Audio Dataset Pipeline — chainable in-memory preprocessing nodes.

Typical chain:
  SelvaDatasetLoader
      ↓ AUDIO_DATASET
  SelvaDatasetResampler       (optional)
      ↓ AUDIO_DATASET
  SelvaDatasetLUFSNormalizer  (optional)
      ↓ AUDIO_DATASET
  SelvaDatasetInspector       (optional)
      ↓ AUDIO_DATASET  +  STRING report
  SelvaDatasetItemExtractor   → AUDIO (bridges to save/preview nodes)
"""

from pathlib import Path

import numpy as np
import torch
import torchaudio

from .utils import SELVA_CATEGORY

# ComfyUI custom type name — passed between all dataset pipeline nodes
AUDIO_DATASET = "AUDIO_DATASET"

_AUDIO_EXTS = {".wav", ".flac", ".mp3", ".ogg", ".aac", ".m4a"}