#!/usr/bin/env python3
"""Minimal loader for SaUrSiSynth (local folder or HF hub checkout)."""
from __future__ import annotations

import json
from pathlib import Path


def load_manifest(root: str | Path = "."):
    root = Path(root)
    rows = []
    with (root / "manifest.jsonl").open(encoding="utf-8") as f:
        for line in f:
            r = json.loads(line)
            r["audio_path"] = str(root / r["wav_path"])
            rows.append(r)
    return rows


def load_with_datasets(root: str | Path = "."):
    """Requires: pip install datasets soundfile"""
    from datasets import Audio, Dataset, DatasetDict

    root = Path(root)
    by_split = {"Train": [], "Dev": [], "Test": []}
    for r in load_manifest(root):
        by_split[r["split"]].append(
            {
                "utt_id": r["utt_id"],
                "triplet_id": r["triplet_id"],
                "lang": r["lang"],
                "domain": r["domain"],
                "gender": r["gender"],
                "text": r["text"],
                "audio": str(root / r["wav_path"]),
                "duration_sec": r.get("duration_sec"),
            }
        )

    def _mk(rows):
        ds = Dataset.from_list(rows)
        return ds.cast_column("audio", Audio(sampling_rate=16000))

    return DatasetDict(
        {
            "train": _mk(by_split["Train"]),
            "validation": _mk(by_split["Dev"]),
            "test": _mk(by_split["Test"]),
        }
    )


if __name__ == "__main__":
    rows = load_manifest()
    print(f"Loaded {len(rows)} utterances")