import asyncio
import pytest
from cf_voice.models import VoiceFrame
from cf_voice.io import MockVoiceIO, make_io
from cf_voice.context import ContextClassifier


def make_frame(**kwargs) -> VoiceFrame:
    defaults = dict(
        label="Calm and focused",
        confidence=0.8,
        speaker_id="speaker_a",
        shift_magnitude=0.0,
        timestamp=1.0,
    )
    return VoiceFrame(**{**defaults, **kwargs})


class TestVoiceFrame:
    def test_is_reliable_above_threshold(self):
        assert make_frame(confidence=0.7).is_reliable(threshold=0.6)

    def test_is_reliable_below_threshold(self):
        assert not make_frame(confidence=0.4).is_reliable(threshold=0.6)

    def test_is_shift_above_threshold(self):
        assert make_frame(shift_magnitude=0.5).is_shift(threshold=0.3)

    def test_is_shift_below_threshold(self):
        assert not make_frame(shift_magnitude=0.1).is_shift(threshold=0.3)

    def test_default_reliable_threshold(self):
        assert make_frame(confidence=0.6).is_reliable()
        assert not make_frame(confidence=0.59).is_reliable()


class TestMockVoiceIO:
    @pytest.mark.asyncio
    async def test_emits_frames(self):
        io = MockVoiceIO(interval_s=0.05, seed=42)
        frames = []
        async for frame in io.stream():
            frames.append(frame)
            if len(frames) >= 3:
                await io.stop()
                break
        assert len(frames) == 3
        assert all(isinstance(f, VoiceFrame) for f in frames)

    @pytest.mark.asyncio
    async def test_confidence_in_range(self):
        io = MockVoiceIO(interval_s=0.05, seed=1)
        count = 0
        async for frame in io.stream():
            assert 0.0 <= frame.confidence <= 1.0
            assert 0.0 <= frame.shift_magnitude <= 1.0
            count += 1
            if count >= 5:
                await io.stop()
                break

    @pytest.mark.asyncio
    async def test_timestamps_increase(self):
        io = MockVoiceIO(interval_s=0.05, seed=0)
        timestamps = []
        async for frame in io.stream():
            timestamps.append(frame.timestamp)
            if len(timestamps) >= 3:
                await io.stop()
                break
        assert timestamps == sorted(timestamps)

    def test_make_io_mock_env(self, monkeypatch):
        monkeypatch.setenv("CF_VOICE_MOCK", "1")
        io = make_io()
        assert isinstance(io, MockVoiceIO)

    def test_make_io_real_returns_mic_io(self, monkeypatch):
        """make_io(mock=False) returns MicVoiceIO when sounddevice/numpy are installed."""
        from cf_voice.capture import MicVoiceIO
        monkeypatch.delenv("CF_VOICE_MOCK", raising=False)
        io = make_io(mock=False)
        assert isinstance(io, MicVoiceIO)


class TestContextClassifierChunk:
    """Tests for classify_chunk() — multi-class event output."""

    def test_mock_returns_four_event_types(self):
        classifier = ContextClassifier.mock(interval_s=0.05, seed=10)
        events = classifier.classify_chunk(timestamp=1.0)
        types = {e.event_type for e in events}
        # In mock mode all four event types should be present
        assert "tone" in types
        assert "queue" in types
        assert "speaker" in types
        assert "environ" in types

    def test_mock_tone_event_has_subtext(self):
        classifier = ContextClassifier.mock(interval_s=0.05, seed=11)
        events = classifier.classify_chunk(timestamp=0.0)
        tone_events = [e for e in events if e.event_type == "tone"]
        assert len(tone_events) == 1
        assert tone_events[0].subtext is not None

    def test_elcor_override_flag(self):
        classifier = ContextClassifier.mock(interval_s=0.05, seed=12)
        events_generic = classifier.classify_chunk(timestamp=0.0, elcor=False)
        events_elcor = classifier.classify_chunk(timestamp=0.0, elcor=True)

        def subtext(evs):
            return next(e.subtext for e in evs if e.event_type == "tone")

        generic_sub = subtext(events_generic)
        elcor_sub = subtext(events_elcor)
        # Generic format: "Tone: X". Elcor format: "With X:" or "Warmly:" etc.
        assert generic_sub.startswith("Tone:") or not generic_sub.endswith(":")
        # Elcor format ends with ":"
        assert elcor_sub.endswith(":")

    def test_session_id_propagates(self):
        classifier = ContextClassifier.mock(interval_s=0.05, seed=13)
        events = classifier.classify_chunk(timestamp=0.0, session_id="ses_test")
        tone_events = [e for e in events if e.event_type == "tone"]
        assert tone_events[0].session_id == "ses_test"

    def test_prior_frames_zero_means_no_shift(self):
        classifier = ContextClassifier.mock(interval_s=0.05, seed=14)
        events = classifier.classify_chunk(timestamp=0.0, prior_frames=0)
        tone_events = [e for e in events if e.event_type == "tone"]
        assert tone_events[0].shift_magnitude == 0.0


class TestContextClassifier:
    @pytest.mark.asyncio
    async def test_mock_passthrough(self):
        classifier = ContextClassifier.mock(interval_s=0.05, seed=7)
        frames = []
        async for frame in classifier.stream():
            frames.append(frame)
            if len(frames) >= 3:
                await classifier.stop()
                break
        assert len(frames) == 3
        assert all(isinstance(f, VoiceFrame) for f in frames)

    @pytest.mark.asyncio
    async def test_from_env_mock(self, monkeypatch):
        monkeypatch.setenv("CF_VOICE_MOCK", "1")
        classifier = ContextClassifier.from_env(interval_s=0.05)
        async for frame in classifier.stream():
            assert isinstance(frame, VoiceFrame)
            await classifier.stop()
            break