import json
from pathlib import Path

import pyarrow.parquet as pq

DATA_DIR = Path(__file__).resolve().parent.parent / "data"


def test_schema_columns():
    shard = sorted(DATA_DIR.glob("test-*.parquet"))[0]
    table = pq.read_table(str(shard))
    assert set(table.column_names) == {"path", "audio", "label", "notes"}


def test_label_classes():
    shard = sorted(DATA_DIR.glob("test-*.parquet"))[0]
    table = pq.read_table(str(shard))
    label_col = table.column("label")
    unique_labels = set(label_col.to_pylist())
    assert unique_labels == {0, 1}


def test_notes_parse_as_json():
    shard = sorted(DATA_DIR.glob("test-*.parquet"))[0]
    table = pq.read_table(str(shard))
    notes_col = table.column("notes")
    for i in range(min(10, table.num_rows)):
        parsed = json.loads(notes_col[i].as_py())
        assert "utterance_id" in parsed
        assert parsed["utterance_id"].startswith("LA_E_")
        assert "speaker_id" in parsed
        assert parsed["speaker_id"].startswith("LA_")


def test_path_format():
    shard = sorted(DATA_DIR.glob("test-*.parquet"))[0]
    table = pq.read_table(str(shard))
    path_col = table.column("path")
    for i in range(min(10, table.num_rows)):
        p = path_col[i].as_py()
        assert p.endswith(".flac")
        assert p.startswith("LA_E_")