import unittest
from unittest.mock import MagicMock, patch

import numpy as np

from ai_prof import rtc
from ai_prof.rtc import _has_speech


class VoiceGateTests(unittest.TestCase):
    def test_silence_is_rejected(self):
        self.assertFalse(_has_speech(np.zeros(16_000, dtype=np.float32)))

    def test_audible_signal_is_accepted(self):
        t = np.arange(16_000, dtype=np.float32) / 16_000
        signal = 0.05 * np.sin(2 * np.pi * 220 * t)
        self.assertTrue(_has_speech(signal))

    def test_int16_audio_is_normalized(self):
        signal = np.full(2_000, 1_000, dtype=np.int16)
        self.assertTrue(_has_speech(signal))

    @patch.object(rtc, "_voice_anchors", {"lecture": "data:audio/wav;base64,abc"})
    @patch("openai.OpenAI")
    def test_tts_reuses_session_voice_reference(self, openai_client):
        speech = MagicMock()
        openai_client.return_value.audio.speech = speech

        rtc._speech_request("Next slide.", voice_key="lecture")

        kwargs = speech.create.call_args.kwargs
        self.assertEqual(
            kwargs["extra_body"]["ref_audio"],
            "data:audio/wav;base64,abc",
        )
        self.assertEqual(kwargs["input"], "Next slide.")


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