#!/usr/bin/env python3
"""Regression tests for distinguishing observed sensor rows from instructions."""

import unittest

from convert_videos import parse_timeseries_block, parse_timeseries_data_line


class SensorRowTests(unittest.TestCase):
    def test_format_example_is_not_an_observation(self) -> None:
        self.assertIsNone(parse_timeseries_data_line("t(s): speed=, acceleration=, steering="))

    def test_instruction_with_commas_is_not_an_observation(self) -> None:
        self.assertIsNone(parse_timeseries_data_line("Per-frame sensor data, missing = unavailable:"))

    def test_actual_missing_observations_are_preserved(self) -> None:
        row = parse_timeseries_data_line("1.5: speed=10, acceleration=null")
        self.assertEqual(row["speed"], 10)
        self.assertNotEqual(row["acceleration"], row["acceleration"])

    def test_iso_timestamp_rows_are_still_supported(self) -> None:
        self.assertEqual(parse_timeseries_data_line("2024-06-30T12:00:00Z, speed=10"), {"speed": 10})

    def test_template_line_does_not_increase_sequence_length(self) -> None:
        frame = parse_timeseries_block(
            "<timeseries>\nOne-line format example:\nt(s): speed=, acceleration=\n"
            "1.0: speed=10, acceleration=null\n1.5: speed=9, acceleration=-1\n</timeseries>"
        )
        self.assertEqual(frame.shape, (2, 2))
        self.assertEqual(frame["speed"].tolist(), [10, 9])


if __name__ == "__main__":
    unittest.main()