"""
tests/unit/test_use_cases.py
──────────────────────────────
Unit tests for all three use cases.

All external dependencies (repositories, broker, model, processor) are mocked
via unittest.mock — no real database, no RabbitMQ, no SciPy or PyTorch required.
"""
from __future__ import annotations

from datetime import datetime, timezone
from typing import Any
from unittest.mock import AsyncMock, MagicMock, patch

import numpy as np
import pytest

from src.application.dto.ppg_dto import PPGIngestRequest
from src.application.use_cases.get_prediction_history import GetPredictionHistoryUseCase
from src.application.use_cases.ingest_ppg import IngestPPGUseCase
from src.application.use_cases.process_and_predict import ProcessAndPredictUseCase
from src.domain.entities.prediction import BPPrediction
from src.domain.entities.ppg_signal import PPGSignal
from src.domain.exceptions.domain_exceptions import EntityNotFoundError, InvalidSignalError


# ── Shared helpers ────────────────────────────────────────────────────────────

def _valid_signal() -> PPGSignal:
    return PPGSignal(
        id="test-signal-uuid",
        device_id="sensor-001",
        user_id="user-123",
        sampling_rate=125.0,
        ppg_values=[0.1] * 1250,
        duration_seconds=10.0,
    )


def _valid_prediction(signal_id: str = "test-signal-uuid") -> BPPrediction:
    return BPPrediction(
        id="test-pred-uuid",
        ppg_signal_id=signal_id,
        predicted_sbp=120.0,
        predicted_dbp=80.0,
        model_version="mock-v1.0",
        inference_time_ms=50.0,
    )


def _valid_request() -> PPGIngestRequest:
    return PPGIngestRequest(
        device_id="sensor-001",
        user_id="user-123",
        sampling_rate=125.0,
        ppg_values=[0.1] * 1250,
        duration_seconds=10.0,
    )


# ── IngestPPGUseCase Tests ────────────────────────────────────────────────────

class TestIngestPPGUseCase:
    @pytest.fixture
    def ppg_repo(self) -> AsyncMock:
        repo = AsyncMock()
        repo.add = AsyncMock(return_value=_valid_signal())
        return repo

    @pytest.fixture
    def broker(self) -> AsyncMock:
        b = AsyncMock()
        b.publish = AsyncMock(return_value=None)
        return b

    @pytest.fixture
    def use_case(self, ppg_repo: AsyncMock, broker: AsyncMock) -> IngestPPGUseCase:
        return IngestPPGUseCase(ppg_repo=ppg_repo, broker=broker)

    async def test_execute_success(
        self, use_case: IngestPPGUseCase, ppg_repo: AsyncMock, broker: AsyncMock
    ) -> None:
        request = _valid_request()
        response = await use_case.execute(request)

        assert response.signal_id == "test-signal-uuid"
        assert response.user_id == "user-123"
        assert response.queued is True
        ppg_repo.add.assert_called_once()
        broker.publish.assert_called_once()

    async def test_execute_broker_failure_still_returns_response(
        self, use_case: IngestPPGUseCase, ppg_repo: AsyncMock, broker: AsyncMock
    ) -> None:
        """Broker publish failure is non-fatal — signal is already persisted."""
        broker.publish.side_effect = Exception("RabbitMQ down")
        response = await use_case.execute(_valid_request())
        assert response.queued is False  # publish failed but signal was stored
        ppg_repo.add.assert_called_once()

    async def test_execute_invalid_signal_raises(
        self, use_case: IngestPPGUseCase
    ) -> None:
        """
        Pydantic's min_length=1 on device_id prevents an empty string from reaching
        the use case at the DTO level. We therefore test domain-level InvalidSignalError
        by constructing the DTO validly but giving an impossible duration/sample combo.
        """
        # Build a DTO that passes Pydantic but fails domain validation:
        # 1000 samples declared as 10 seconds at 125Hz → expected 1250, far out of 10% tolerance
        from pydantic import ValidationError

        with pytest.raises(ValidationError):
            PPGIngestRequest(
                device_id="",  # Pydantic rejects this at DTO boundary ✅
                user_id="user-123",
                sampling_rate=125.0,
                ppg_values=[0.1] * 1250,
                duration_seconds=10.0,
            )

        # Domain-level: valid DTO, but sample count inconsistent → InvalidSignalError
        bad_request = PPGIngestRequest(
            device_id="sensor-001",
            user_id="user-123",
            sampling_rate=125.0,
            ppg_values=[0.1] * 50,      # too few samples for 10s at 125Hz
            duration_seconds=10.0,
        )
        with pytest.raises(InvalidSignalError):
            await use_case.execute(bad_request)


# ── ProcessAndPredictUseCase Tests ────────────────────────────────────────────

class TestProcessAndPredictUseCase:
    @pytest.fixture
    def ppg_repo(self) -> AsyncMock:
        repo = AsyncMock()
        repo.get_by_id = AsyncMock(return_value=_valid_signal())
        return repo

    @pytest.fixture
    def prediction_repo(self) -> AsyncMock:
        repo = AsyncMock()
        repo.add = AsyncMock(return_value=_valid_prediction())
        return repo

    @pytest.fixture
    def signal_processor(self) -> MagicMock:
        processor = MagicMock()
        processor.process = MagicMock(return_value=np.zeros((5, 1000)))
        return processor

    @pytest.fixture
    def model_service(self) -> AsyncMock:
        service = AsyncMock()
        service.is_loaded = MagicMock(return_value=True)
        service.predict = AsyncMock(return_value=_valid_prediction())
        return service

    @pytest.fixture
    def use_case(
        self,
        ppg_repo: AsyncMock,
        prediction_repo: AsyncMock,
        signal_processor: MagicMock,
        model_service: AsyncMock,
    ) -> ProcessAndPredictUseCase:
        return ProcessAndPredictUseCase(
            ppg_repo=ppg_repo,
            prediction_repo=prediction_repo,
            signal_processor=signal_processor,
            model_service=model_service,
        )

    async def test_execute_success(
        self,
        use_case: ProcessAndPredictUseCase,
        ppg_repo: AsyncMock,
        prediction_repo: AsyncMock,
        signal_processor: MagicMock,
        model_service: AsyncMock,
    ) -> None:
        message = {"id": "test-signal-uuid"}
        result = await use_case.execute(message)

        assert result.predicted_sbp == 120.0
        assert result.predicted_dbp == 80.0
        ppg_repo.get_by_id.assert_called_once_with("test-signal-uuid")
        signal_processor.process.assert_called_once()
        model_service.predict.assert_called_once()
        prediction_repo.add.assert_called_once()

    async def test_signal_not_found_raises(
        self, use_case: ProcessAndPredictUseCase, ppg_repo: AsyncMock
    ) -> None:
        ppg_repo.get_by_id = AsyncMock(return_value=None)
        with pytest.raises(EntityNotFoundError):
            await use_case.execute({"id": "nonexistent-id"})

    async def test_loads_model_if_not_loaded(
        self,
        use_case: ProcessAndPredictUseCase,
        model_service: AsyncMock,
    ) -> None:
        model_service.is_loaded = MagicMock(return_value=False)
        await use_case.execute({"id": "test-signal-uuid"})
        model_service.load_model.assert_called_once()


# ── GetPredictionHistoryUseCase Tests ─────────────────────────────────────────

class TestGetPredictionHistoryUseCase:
    @pytest.fixture
    def prediction_repo(self) -> AsyncMock:
        repo = AsyncMock()
        repo.get_by_user_latest = AsyncMock(
            return_value=[_valid_prediction(), _valid_prediction()]
        )
        repo.get_by_date_range = AsyncMock(return_value=[_valid_prediction()])
        return repo

    @pytest.fixture
    def use_case(self, prediction_repo: AsyncMock) -> GetPredictionHistoryUseCase:
        return GetPredictionHistoryUseCase(prediction_repo=prediction_repo)

    async def test_latest_mode(
        self, use_case: GetPredictionHistoryUseCase, prediction_repo: AsyncMock
    ) -> None:
        result = await use_case.execute("user-123", limit=10)
        assert result.user_id == "user-123"
        assert result.total == 2
        prediction_repo.get_by_user_latest.assert_called_once_with(user_id="user-123", limit=10)
        prediction_repo.get_by_date_range.assert_not_called()

    async def test_date_range_mode(
        self, use_case: GetPredictionHistoryUseCase, prediction_repo: AsyncMock
    ) -> None:
        start = datetime(2026, 1, 1, tzinfo=timezone.utc)
        end = datetime(2026, 12, 31, tzinfo=timezone.utc)
        result = await use_case.execute("user-123", start=start, end=end)
        assert result.total == 1
        prediction_repo.get_by_date_range.assert_called_once()
        prediction_repo.get_by_user_latest.assert_not_called()

    async def test_empty_history_returns_empty_list(
        self, use_case: GetPredictionHistoryUseCase, prediction_repo: AsyncMock
    ) -> None:
        prediction_repo.get_by_user_latest = AsyncMock(return_value=[])
        result = await use_case.execute("user-456")
        assert result.total == 0
        assert result.predictions == []