# -*- coding: utf-8 -*-
"""
Tests für das Arbitration-Modul.

Testet Kandidaten, Zeitfenster, Strategien und den Arbitrator-Service.
"""

import pytest
import asyncio
from datetime import datetime, timedelta

from trixy_core.arbitration import (
    # Candidate
    ArbitrationCandidate,
    CandidateState,
    # Window
    ArbitrationWindow,
    WindowConfig,
    WindowState,
    # Strategies
    ArbitrationStrategy,
    LoudestStrategy,
    ConfidenceStrategy,
    CombinedStrategy,
    ProximityStrategy,
    # Arbitrator
    WakewordArbitrator,
    ArbitrationConfig,
    ArbitrationResult,
)
from trixy_core.arbitration.strategies.combined import CombinedWeights
from trixy_core.arbitration.strategies.proximity import ProximityWeights, RoomRelevance


# =============================================================================
# ArbitrationCandidate Tests
# =============================================================================

class TestArbitrationCandidate:
    """Tests für ArbitrationCandidate."""

    def test_create_candidate(self):
        """Test Kandidaten-Erstellung."""
        candidate = ArbitrationCandidate(
            satellite_id="living_room",
            room_id="wohnzimmer",
            alias="Wohnzimmer",
            audio_level=0.85,
            confidence=0.92,
        )

        assert candidate.satellite_id == "living_room"
        assert candidate.room_id == "wohnzimmer"
        assert candidate.audio_level == 0.85
        assert candidate.confidence == 0.92
        assert candidate.state == CandidateState.PENDING

    def test_candidate_requires_satellite_id(self):
        """Test dass satellite_id erforderlich ist."""
        with pytest.raises(ValueError):
            ArbitrationCandidate(satellite_id="")

    def test_audio_level_normalization(self):
        """Test dass audio_level auf 0-1 normalisiert wird."""
        candidate = ArbitrationCandidate(
            satellite_id="test",
            audio_level=1.5,  # Über 1.0
        )
        assert candidate.audio_level == 1.0

        candidate2 = ArbitrationCandidate(
            satellite_id="test",
            audio_level=-0.5,  # Unter 0.0
        )
        assert candidate2.audio_level == 0.0

    def test_candidate_state_transitions(self):
        """Test Zustandsübergänge."""
        candidate = ArbitrationCandidate(satellite_id="test")

        assert candidate.is_pending
        assert not candidate.is_selected
        assert not candidate.is_rejected

        candidate.select()
        assert candidate.is_selected
        assert not candidate.is_pending

        candidate2 = ArbitrationCandidate(satellite_id="test2")
        candidate2.reject(reason="Anderer gewählt")
        assert candidate2.is_rejected
        assert candidate2.metadata.get("reject_reason") == "Anderer gewählt"

    def test_candidate_age(self):
        """Test Kandidaten-Alter."""
        candidate = ArbitrationCandidate(satellite_id="test")
        assert candidate.age_ms >= 0

    def test_candidate_to_dict(self):
        """Test Dictionary-Konvertierung."""
        candidate = ArbitrationCandidate(
            satellite_id="test",
            room_id="room1",
            audio_level=0.75,
            confidence=0.9,
        )

        data = candidate.to_dict()
        assert data["satellite_id"] == "test"
        assert data["room_id"] == "room1"
        assert data["audio_level"] == 0.75
        assert data["confidence"] == 0.9


# =============================================================================
# ArbitrationWindow Tests
# =============================================================================

class TestArbitrationWindow:
    """Tests für ArbitrationWindow."""

    @pytest.mark.asyncio
    async def test_window_open_close(self):
        """Test Fenster öffnen und schließen."""
        window = ArbitrationWindow()

        assert window.is_closed
        assert not window.is_open

        await window.open()
        assert window.is_open
        assert not window.is_closed

        candidates = await window.close(reason="test")
        assert len(candidates) == 0

    @pytest.mark.asyncio
    async def test_window_add_candidate(self):
        """Test Kandidaten hinzufügen."""
        window = ArbitrationWindow()
        await window.open()

        candidate = ArbitrationCandidate(
            satellite_id="test",
            audio_level=0.8,
        )

        success = await window.add_candidate(candidate)
        assert success
        assert window.candidate_count == 1

        # Nochmal denselben Satellite - sollte aktualisieren
        candidate2 = ArbitrationCandidate(
            satellite_id="test",
            audio_level=0.9,  # Höher
        )
        success = await window.add_candidate(candidate2)
        assert success
        assert window.candidate_count == 1  # Immer noch 1

        # Der audio_level sollte aktualisiert sein
        stored = window.get_candidate("test")
        assert stored.audio_level == 0.9

        await window.reset()

    @pytest.mark.asyncio
    async def test_window_cannot_add_when_closed(self):
        """Test dass Kandidaten nicht bei geschlossenem Fenster hinzugefügt werden können."""
        window = ArbitrationWindow()

        candidate = ArbitrationCandidate(satellite_id="test")
        success = await window.add_candidate(candidate)

        assert not success
        assert window.candidate_count == 0

    @pytest.mark.asyncio
    async def test_window_max_candidates(self):
        """Test maximale Kandidaten-Anzahl."""
        config = WindowConfig(max_candidates=2)
        window = ArbitrationWindow(config=config)
        await window.open()

        await window.add_candidate(ArbitrationCandidate(satellite_id="s1"))
        await window.add_candidate(ArbitrationCandidate(satellite_id="s2"))

        # Dritter sollte abgelehnt werden
        success = await window.add_candidate(
            ArbitrationCandidate(satellite_id="s3")
        )
        assert not success
        assert window.candidate_count == 2

        await window.reset()

    @pytest.mark.asyncio
    async def test_window_has_candidate(self):
        """Test has_candidate Methode."""
        window = ArbitrationWindow()
        await window.open()

        await window.add_candidate(ArbitrationCandidate(satellite_id="test"))

        assert window.has_candidate("test")
        assert not window.has_candidate("other")

        await window.reset()

    @pytest.mark.asyncio
    async def test_window_duration(self):
        """Test Fenster-Dauer."""
        window = ArbitrationWindow()
        await window.open()

        # Kurz warten
        await asyncio.sleep(0.05)

        assert window.duration_ms >= 50
        assert window.remaining_ms < window.config.window_duration_ms

        await window.reset()

    @pytest.mark.asyncio
    async def test_window_auto_close(self):
        """Test automatisches Schließen nach Timeout."""
        callback_called = []

        async def on_complete(candidates):
            callback_called.append(len(candidates))

        config = WindowConfig(
            window_duration_ms=100,
            min_wait_ms=50,
        )
        window = ArbitrationWindow(config=config, on_complete=on_complete)

        await window.open()
        await window.add_candidate(ArbitrationCandidate(satellite_id="test"))

        # Warten auf auto-close
        await asyncio.sleep(0.15)

        assert len(callback_called) == 1
        assert callback_called[0] == 1

    @pytest.mark.asyncio
    async def test_window_reset(self):
        """Test Fenster zurücksetzen."""
        window = ArbitrationWindow()
        await window.open()
        await window.add_candidate(ArbitrationCandidate(satellite_id="test"))

        await window.reset()

        assert window.is_closed
        assert window.candidate_count == 0


# =============================================================================
# Strategy Tests
# =============================================================================

class TestLoudestStrategy:
    """Tests für LoudestStrategy."""

    def test_select_loudest(self):
        """Test dass lautester Kandidat gewählt wird."""
        strategy = LoudestStrategy()

        candidates = [
            ArbitrationCandidate(satellite_id="quiet", audio_level=0.5),
            ArbitrationCandidate(satellite_id="loud", audio_level=0.9),
            ArbitrationCandidate(satellite_id="medium", audio_level=0.7),
        ]

        winner = strategy.select(candidates)

        assert winner is not None
        assert winner.satellite_id == "loud"
        assert winner.score == 0.9

    def test_select_empty_list(self):
        """Test mit leerer Liste."""
        strategy = LoudestStrategy()
        winner = strategy.select([])
        assert winner is None

    def test_min_audio_level(self):
        """Test Minimum Audio-Level Filter."""
        strategy = LoudestStrategy(min_audio_level=0.5)

        candidates = [
            ArbitrationCandidate(satellite_id="too_quiet", audio_level=0.3),
            ArbitrationCandidate(satellite_id="ok", audio_level=0.6),
        ]

        winner = strategy.select(candidates)

        assert winner is not None
        assert winner.satellite_id == "ok"

    def test_all_below_minimum(self):
        """Test wenn alle unter Minimum."""
        strategy = LoudestStrategy(min_audio_level=0.8)

        candidates = [
            ArbitrationCandidate(satellite_id="s1", audio_level=0.5),
            ArbitrationCandidate(satellite_id="s2", audio_level=0.6),
        ]

        winner = strategy.select(candidates)
        assert winner is None

    def test_rank_candidates(self):
        """Test Kandidaten-Ranking."""
        strategy = LoudestStrategy()

        candidates = [
            ArbitrationCandidate(satellite_id="c", audio_level=0.3),
            ArbitrationCandidate(satellite_id="a", audio_level=0.9),
            ArbitrationCandidate(satellite_id="b", audio_level=0.6),
        ]

        ranked = strategy.rank(candidates)

        assert ranked[0].satellite_id == "a"
        assert ranked[1].satellite_id == "b"
        assert ranked[2].satellite_id == "c"


class TestConfidenceStrategy:
    """Tests für ConfidenceStrategy."""

    def test_select_highest_confidence(self):
        """Test dass höchste Confidence gewählt wird."""
        strategy = ConfidenceStrategy()

        candidates = [
            ArbitrationCandidate(satellite_id="low", confidence=0.6),
            ArbitrationCandidate(satellite_id="high", confidence=0.95),
            ArbitrationCandidate(satellite_id="mid", confidence=0.8),
        ]

        winner = strategy.select(candidates)

        assert winner is not None
        assert winner.satellite_id == "high"

    def test_min_confidence(self):
        """Test Minimum Confidence Filter."""
        strategy = ConfidenceStrategy(min_confidence=0.7)

        candidates = [
            ArbitrationCandidate(satellite_id="too_low", confidence=0.5),
            ArbitrationCandidate(satellite_id="ok", confidence=0.8),
        ]

        winner = strategy.select(candidates)

        assert winner is not None
        assert winner.satellite_id == "ok"


class TestCombinedStrategy:
    """Tests für CombinedStrategy."""

    def test_combined_score(self):
        """Test kombinierte Bewertung."""
        weights = CombinedWeights(
            audio_level=0.5,
            confidence=0.5,
            recency=0.0,
        )
        strategy = CombinedStrategy(weights=weights)

        candidates = [
            ArbitrationCandidate(
                satellite_id="balanced",
                audio_level=0.8,
                confidence=0.8,
            ),
            ArbitrationCandidate(
                satellite_id="loud_low_conf",
                audio_level=0.95,
                confidence=0.5,
            ),
        ]

        winner = strategy.select(candidates)

        assert winner is not None
        assert winner.satellite_id == "balanced"
        # balanced: 0.8*0.5 + 0.8*0.5 = 0.8
        # loud: 0.95*0.5 + 0.5*0.5 = 0.725

    def test_weights_normalization(self):
        """Test dass Gewichte normalisiert werden."""
        weights = CombinedWeights(
            audio_level=2.0,
            confidence=2.0,
            recency=1.0,
        )

        # Sollte auf 0.4, 0.4, 0.2 normalisiert werden
        assert abs(weights.audio_level - 0.4) < 0.01
        assert abs(weights.confidence - 0.4) < 0.01
        assert abs(weights.recency - 0.2) < 0.01

    def test_score_details(self):
        """Test dass Score-Details gespeichert werden."""
        strategy = CombinedStrategy()

        candidate = ArbitrationCandidate(
            satellite_id="test",
            audio_level=0.8,
            confidence=0.9,
        )

        score = strategy.calculate_score(candidate)

        assert "audio_level" in candidate.score_details
        assert "confidence" in candidate.score_details
        assert "audio_weighted" in candidate.score_details


class TestProximityStrategy:
    """Tests für ProximityStrategy."""

    def test_last_active_bonus(self):
        """Test Bonus für letzten aktiven Raum."""
        room_relevance = RoomRelevance(last_active_bonus=0.3)
        strategy = ProximityStrategy(room_relevance=room_relevance)

        candidates = [
            ArbitrationCandidate(
                satellite_id="kitchen",
                room_id="kitchen",
                audio_level=0.8,
                confidence=0.8,
            ),
            ArbitrationCandidate(
                satellite_id="living",
                room_id="living_room",
                audio_level=0.75,
                confidence=0.8,
            ),
        ]

        context = {"last_active_room": "living_room"}

        winner = strategy.select(candidates, context)

        # Living room sollte wegen Bonus gewinnen trotz niedrigerem audio_level
        assert winner is not None
        # Der Bonus könnte ausreichen um das niedrigere audio_level auszugleichen
        assert "history_bonus" in winner.score_details

    def test_adjacent_rooms_bonus(self):
        """Test Bonus für benachbarte Räume."""
        room_relevance = RoomRelevance(
            adjacent_rooms={"living_room": ["hallway", "kitchen"]},
            adjacent_bonus=0.2,
        )
        strategy = ProximityStrategy(room_relevance=room_relevance)

        candidates = [
            ArbitrationCandidate(
                satellite_id="hallway",
                room_id="hallway",
                audio_level=0.7,
                confidence=0.8,
            ),
        ]

        context = {"last_active_room": "living_room"}

        strategy.calculate_score(candidates[0], context)

        # Hallway sollte room_relevance Bonus bekommen
        assert candidates[0].score_details["room_relevance"] > 0.5


# =============================================================================
# WakewordArbitrator Tests
# =============================================================================

class TestWakewordArbitrator:
    """Tests für WakewordArbitrator Service."""

    def test_create_arbitrator(self):
        """Test Arbitrator-Erstellung."""
        config = ArbitrationConfig(
            strategy="loudest",
            window_duration_ms=500,
        )
        arbitrator = WakewordArbitrator(config)

        assert arbitrator.config.strategy == "loudest"
        assert arbitrator.config.window_duration_ms == 500
        assert arbitrator.strategy.name == "loudest"

    def test_create_with_combined_strategy(self):
        """Test Arbitrator mit Combined-Strategie."""
        config = ArbitrationConfig(
            strategy="combined",
            audio_weight=0.7,
            confidence_weight=0.2,
            recency_weight=0.1,
        )
        arbitrator = WakewordArbitrator(config)

        assert arbitrator.strategy.name == "combined"

    def test_is_arbitrating_initial(self):
        """Test dass initial nicht arbitriert wird."""
        arbitrator = WakewordArbitrator()
        assert not arbitrator.is_arbitrating

    @pytest.mark.asyncio
    async def test_add_candidate_opens_window(self):
        """Test dass add_candidate Fenster öffnet."""
        # Verwende kurzes Fenster und warte nicht auf cancel
        config = ArbitrationConfig(
            window_duration_ms=50,
            min_wait_ms=10,
            auto_start_conversation=False,
            notify_rejected=False,
        )
        arbitrator = WakewordArbitrator(config)

        candidate = ArbitrationCandidate(
            satellite_id="test",
            audio_level=0.8,
        )

        await arbitrator.add_candidate(candidate)

        # Prüfe sofort (bevor Timer abläuft)
        assert arbitrator.is_arbitrating
        assert len(arbitrator.current_candidates) == 1

        # Warte auf natürliches Ende statt cancel
        await asyncio.sleep(0.1)

    @pytest.mark.asyncio
    async def test_multiple_candidates(self):
        """Test mehrere Kandidaten hinzufügen."""
        config = ArbitrationConfig(
            window_duration_ms=100,
            min_wait_ms=20,
            auto_start_conversation=False,
            notify_rejected=False,
        )
        arbitrator = WakewordArbitrator(config)

        await arbitrator.add_candidate(
            ArbitrationCandidate(satellite_id="s1", audio_level=0.7)
        )
        await arbitrator.add_candidate(
            ArbitrationCandidate(satellite_id="s2", audio_level=0.9)
        )
        await arbitrator.add_candidate(
            ArbitrationCandidate(satellite_id="s3", audio_level=0.6)
        )

        assert len(arbitrator.current_candidates) == 3

        # Warte auf natürliches Ende
        await asyncio.sleep(0.15)

    @pytest.mark.asyncio
    async def test_decision_callback(self):
        """Test Decision-Callback."""
        results = []

        async def on_decision(result: ArbitrationResult):
            results.append(result)

        config = ArbitrationConfig(
            window_duration_ms=100,
            min_wait_ms=50,
            auto_start_conversation=False,
            notify_rejected=False,
        )
        arbitrator = WakewordArbitrator(config)
        arbitrator.on_decision(on_decision)

        await arbitrator.add_candidate(
            ArbitrationCandidate(satellite_id="s1", audio_level=0.7, confidence=0.8)
        )
        await arbitrator.add_candidate(
            ArbitrationCandidate(satellite_id="s2", audio_level=0.9, confidence=0.85)
        )

        # Warten auf Entscheidung
        await asyncio.sleep(0.2)

        assert len(results) == 1
        assert results[0].success
        assert results[0].winner.satellite_id == "s2"
        assert len(results[0].rejected) == 1

    @pytest.mark.asyncio
    async def test_cancel_current(self):
        """Test aktuelle Arbitration abbrechen."""
        config = ArbitrationConfig(
            window_duration_ms=100,
            min_wait_ms=20,
            auto_start_conversation=False,
            notify_rejected=False,
        )
        arbitrator = WakewordArbitrator(config)

        await arbitrator.add_candidate(
            ArbitrationCandidate(satellite_id="test", audio_level=0.8)
        )

        assert arbitrator.is_arbitrating

        # Cancel sollte sofort funktionieren
        cancelled = await arbitrator.cancel_current()
        assert cancelled

        # Nach cancel sollte nicht mehr arbitrierend sein
        # (oder warten auf natürliches Ende)
        await asyncio.sleep(0.05)
        # is_arbitrating prüft ob window noch offen ist
        # Nach cancel ist es geschlossen

    def test_stats_initial(self):
        """Test initiale Statistiken."""
        arbitrator = WakewordArbitrator()
        stats = arbitrator.stats

        assert stats["total_arbitrations"] == 0
        assert stats["successful"] == 0

    def test_get_window_status_closed(self):
        """Test Fenster-Status wenn geschlossen."""
        arbitrator = WakewordArbitrator()
        status = arbitrator.get_window_status()

        assert status["state"] == "closed"
        assert status["candidates"] == 0

    @pytest.mark.asyncio
    async def test_get_window_status_open(self):
        """Test Fenster-Status wenn offen."""
        config = ArbitrationConfig(
            window_duration_ms=100,
            min_wait_ms=20,
            auto_start_conversation=False,
            notify_rejected=False,
        )
        arbitrator = WakewordArbitrator(config)

        await arbitrator.add_candidate(
            ArbitrationCandidate(satellite_id="test", audio_level=0.8)
        )

        status = arbitrator.get_window_status()

        assert status["state"] == "open"
        assert status["candidates"] == 1
        assert "duration_ms" in status
        assert "remaining_ms" in status
        assert "arbitration_id" in status

        # Warte auf natürliches Ende
        await asyncio.sleep(0.15)

    def test_change_strategy(self):
        """Test Strategie wechseln."""
        arbitrator = WakewordArbitrator()

        assert arbitrator.strategy.name == "combined"  # Default

        arbitrator.strategy = LoudestStrategy()
        assert arbitrator.strategy.name == "loudest"


class TestArbitrationResult:
    """Tests für ArbitrationResult."""

    def test_create_result(self):
        """Test Result-Erstellung."""
        winner = ArbitrationCandidate(satellite_id="winner", audio_level=0.9)
        rejected = [
            ArbitrationCandidate(satellite_id="loser", audio_level=0.5)
        ]

        result = ArbitrationResult(
            success=True,
            winner=winner,
            rejected=rejected,
            conversation_id="conv_123",
            arbitration_id="arb_456",
            candidate_count=2,
            strategy_used="loudest",
        )

        assert result.success
        assert result.winner.satellite_id == "winner"
        assert len(result.rejected) == 1
        assert result.conversation_id == "conv_123"

    def test_result_to_dict(self):
        """Test Dictionary-Konvertierung."""
        winner = ArbitrationCandidate(satellite_id="winner")

        result = ArbitrationResult(
            success=True,
            winner=winner,
            candidate_count=1,
            strategy_used="loudest",
        )

        data = result.to_dict()

        assert data["success"] is True
        assert data["winner"]["satellite_id"] == "winner"
        assert data["strategy_used"] == "loudest"


# =============================================================================
# Integration Tests
# =============================================================================

class TestArbitrationIntegration:
    """Integration-Tests für das Arbitration-System."""

    @pytest.mark.asyncio
    async def test_full_arbitration_flow(self):
        """Test kompletter Arbitration-Ablauf."""
        results = []

        async def capture_result(result):
            results.append(result)

        config = ArbitrationConfig(
            strategy="combined",
            window_duration_ms=100,
            min_wait_ms=20,
            audio_weight=0.6,
            confidence_weight=0.3,
            recency_weight=0.1,
            auto_start_conversation=False,
            notify_rejected=False,
        )

        arbitrator = WakewordArbitrator(config)
        arbitrator.on_decision(capture_result)

        # Simuliere Wakeword-Erkennungen von verschiedenen Satellites
        await arbitrator.add_candidate(ArbitrationCandidate(
            satellite_id="kitchen",
            room_id="kitchen",
            audio_level=0.7,
            confidence=0.85,
        ))

        await arbitrator.add_candidate(ArbitrationCandidate(
            satellite_id="living_room",
            room_id="living_room",
            audio_level=0.85,
            confidence=0.9,
        ))

        await arbitrator.add_candidate(ArbitrationCandidate(
            satellite_id="hallway",
            room_id="hallway",
            audio_level=0.6,
            confidence=0.8,
        ))

        # Warten auf Entscheidung
        await asyncio.sleep(0.2)

        assert len(results) == 1
        result = results[0]

        assert result.success
        assert result.winner is not None
        assert result.candidate_count == 3
        assert len(result.rejected) == 2

        # Living room sollte gewinnen (höchstes audio_level und confidence)
        assert result.winner.satellite_id == "living_room"

    @pytest.mark.asyncio
    async def test_single_candidate_wins(self):
        """Test dass einzelner Kandidat gewinnt."""
        results = []

        async def capture_result(result):
            results.append(result)

        config = ArbitrationConfig(
            window_duration_ms=80,
            min_wait_ms=20,
            auto_start_conversation=False,
            notify_rejected=False,
        )

        arbitrator = WakewordArbitrator(config)
        arbitrator.on_decision(capture_result)

        await arbitrator.add_candidate(ArbitrationCandidate(
            satellite_id="only_one",
            audio_level=0.8,
            confidence=0.9,
        ))

        await asyncio.sleep(0.15)

        assert len(results) == 1
        assert results[0].success
        assert results[0].winner.satellite_id == "only_one"
        assert len(results[0].rejected) == 0

    @pytest.mark.asyncio
    async def test_strategy_comparison(self):
        """Test verschiedene Strategien mit gleichen Kandidaten."""
        candidates = [
            ArbitrationCandidate(
                satellite_id="loud_low_conf",
                audio_level=0.95,
                confidence=0.6,
            ),
            ArbitrationCandidate(
                satellite_id="quiet_high_conf",
                audio_level=0.6,
                confidence=0.95,
            ),
        ]

        # Loudest sollte loud_low_conf wählen
        loudest = LoudestStrategy()
        winner1 = loudest.select(candidates.copy())
        assert winner1.satellite_id == "loud_low_conf"

        # Confidence sollte quiet_high_conf wählen
        confidence = ConfidenceStrategy()
        winner2 = confidence.select(candidates.copy())
        assert winner2.satellite_id == "quiet_high_conf"