"""Tests for data models and IO helpers."""

from __future__ import annotations

from pathlib import Path

import pytest

from video_vec2wav2_tokenizer.utils.io import (
    DatasetEntry,
    Segment,
    clip_index_name,
    iter_video_files,
    read_jsonl,
    write_jsonl,
)


def test_segment_roundtrip() -> None:
    seg = Segment(start=0.0, end=2.5, text="example sentence")
    assert seg.duration == 2.5
    assert seg.to_dict() == {"start": 0.0, "end": 2.5, "text": "example sentence"}
    assert Segment.from_dict(seg.to_dict()) == seg


def test_dataset_entry_jsonl_shape() -> None:
    entry = DatasetEntry(audio="audio/000001.wav", text="Hello world", duration=2.5)
    row = entry.to_jsonl_dict()
    assert row == {"audio": "audio/000001.wav", "text": "Hello world", "duration": 2.5}


def test_dataset_entry_with_speaker() -> None:
    entry = DatasetEntry(
        audio="audio/000001.wav", text="hi", duration=1.0, speaker="speaker_002"
    )
    assert entry.to_jsonl_dict()["speaker"] == "speaker_002"


def test_clip_index_name() -> None:
    assert clip_index_name(1) == "000001.wav"
    assert clip_index_name(42) == "000042.wav"


def test_jsonl_roundtrip(tmp_path: Path) -> None:
    rows = [{"a": 1}, {"b": "x"}]
    path = tmp_path / "out.jsonl"
    assert write_jsonl(path, rows) == 2
    assert list(read_jsonl(path)) == rows


def test_iter_video_files(tmp_path: Path) -> None:
    (tmp_path / "a.mp4").write_bytes(b"")
    (tmp_path / "sub").mkdir()
    (tmp_path / "sub" / "b.mkv").write_bytes(b"")
    (tmp_path / "note.txt").write_bytes(b"")
    found = [p.name for p in iter_video_files(tmp_path)]
    assert found == ["a.mp4", "b.mkv"]


def test_iter_video_files_missing(tmp_path: Path) -> None:
    with pytest.raises(FileNotFoundError):
        list(iter_video_files(tmp_path / "nope"))