#!/usr/bin/env python3

from datasets import Dataset, Audio
import json


def test_hf_metadata_format():
    """Test the HF-compatible metadata format with file_name column"""

    # Read the metadata file
    records = []
    try:
        with open("data/metadata.jsonl", "r", encoding="utf-8") as f:
            for line in f:
                records.append(json.loads(line))
    except FileNotFoundError:
        print("Error: data/metadata.jsonl not found")
        return

    print(f"Loaded {len(records)} records from metadata.jsonl")

    # Create dataset from records
    dataset = Dataset.from_list(records)

    # Cast the file_name column to Audio type
    dataset = dataset.cast_column("file_name", Audio(decode=False))

    print(f"\nDataset info:")
    print(f"- Number of samples: {len(dataset)}")
    print(f"- Features: {dataset.features}")

    # Test accessing first few examples
    print(f"\nFirst 3 examples:")
    for i, example in enumerate(dataset.select(range(3))):
        print(f"\n{i+1}. Word: {example['word']}")
        print(f"   IPA: {example['ipa']}")
        audio = example['file_name']
        if audio:
            print(f"   Audio path: {audio.get('path', 'N/A')}")
            print(f"   Audio loaded successfully")

    return dataset


if __name__ == "__main__":
    print("Testing HF metadata format with file_name column...")
    print("=" * 60)

    dataset = test_hf_metadata_format()

    if dataset:
        print(f"\n✓ Dataset successfully loaded with {len(dataset)} examples")
        print("✓ Metadata columns (word, ipa) are preserved")
        print("✓ Audio files are linked via file_name column")
        print("✓ Compatible with HF Dataset Viewer format")
    else:
        print("✗ Failed to load dataset")