"""Focused tests for transcript-derived EasyCom interaction proxies."""

from __future__ import annotations

import unittest

from derive_easycom_interaction_events import Rules, Utterance, classify_utterance


def utterance(
    uid: str,
    participant: int,
    start: float,
    end: float,
    text: str,
    *,
    target: tuple[int | str, ...] = ("Group",),
) -> Utterance:
    return Utterance(
        uid=uid,
        session="Session_7",
        clip_stem="00-00-000",
        clip_index=0,
        segment_id=0,
        participant_id=participant,
        target_of_speech=target,
        transcription=text,
        source_start_frame=round(start * 20) + 1,
        source_end_frame=round(end * 20),
        dense_start_frame=round(start * 20),
        dense_end_frame_exclusive=round(end * 20),
        dense_start_seconds=start,
        dense_end_seconds=end,
        duration_seconds=end - start,
        starts_at_clip_boundary=False,
        ends_at_clip_boundary=False,
        annotation_end_frame_clamped_by=0,
        is_cross_clip_continuation=False,
    )


class InteractionProxyTests(unittest.TestCase):
    def setUp(self) -> None:
        self.rules = Rules()

    def classify(self, target: Utterance, rows: list[Utterance]):
        return classify_utterance(
            target,
            rows,
            camera_wearer_id=2,
            rules=self.rules,
        )

    def test_short_feedback_inside_retained_floor_is_backchannel_proxy(self) -> None:
        floor = utterance("floor", 4, 0.0, 4.0, "Long explanation")
        feedback = utterance("feedback", 2, 1.0, 1.4, "Yeah.", target=(4,))
        event = self.classify(feedback, [floor, feedback])
        self.assertEqual(event.event_type, "backchannel_proxy_high")
        self.assertTrue(event.trainable_auxiliary)
        self.assertEqual(event.retained_floor_participant_id, 4)

    def test_short_answer_without_floor_return_is_not_backchannel(self) -> None:
        question = utterance("question", 4, 0.0, 1.0, "Ready?")
        answer = utterance("answer", 2, 1.1, 2.3, "Yeah, let us start.", target=(4,))
        event = self.classify(answer, [question, answer])
        self.assertEqual(event.event_type, "ordinary_switch")

    def test_overlap_takeover_after_cutoff_is_interruption_proxy(self) -> None:
        old = utterance("old", 4, 0.0, 2.0, "I was going to-")
        incoming = utterance("incoming", 2, 1.7, 3.2, "Wait, that is wrong.", target=(4,))
        event = self.classify(incoming, [old, incoming])
        self.assertEqual(event.event_type, "interruption_proxy_high")
        self.assertTrue(event.trainable_auxiliary)

    def test_overlap_takeover_without_cutoff_is_not_called_interruption(self) -> None:
        old = utterance("old", 4, 0.0, 2.0, "I finished my point.")
        incoming = utterance("incoming", 2, 1.7, 3.2, "Here is my response.", target=(4,))
        event = self.classify(incoming, [old, incoming])
        self.assertEqual(event.event_type, "overlap_takeover")
        self.assertTrue(event.trainable_auxiliary)

    def test_short_nonlexical_floor_return_is_masked_candidate(self) -> None:
        before = utterance("before", 4, 0.0, 1.2, "First part")
        brief = utterance("brief", 2, 1.25, 1.8, "Possibly.", target=(4,))
        after = utterance("after", 4, 1.9, 3.0, "Second part")
        event = self.classify(brief, [before, brief, after])
        self.assertEqual(event.event_type, "backchannel_candidate")
        self.assertFalse(event.trainable_auxiliary)

    def test_hesitation_marker_is_not_nonverbal_feedback(self) -> None:
        floor = utterance("floor", 4, 0.0, 4.0, "Long explanation")
        hesitation = utterance("hesitation", 2, 1.0, 1.2, "[H]", target=(4,))
        event = self.classify(hesitation, [floor, hesitation])
        self.assertEqual(event.event_type, "nonverbal_candidate")
        self.assertFalse(event.trainable_auxiliary)

    def test_cross_clip_continuation_never_creates_switch(self) -> None:
        row = utterance("continued", 2, 60.0, 61.0, "[X] continued")
        row = Utterance(
            **{**row.__dict__, "is_cross_clip_continuation": True}
        )
        event = self.classify(row, [row])
        self.assertEqual(event.event_type, "cross_clip_continuation")
        self.assertFalse(event.trainable_auxiliary)


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