"""
Tests for Hatchet workflow dispatch and routing logic.

These tests verify:
1. Routing to Hatchet when HATCHET_ENABLED=True
2. Replay logic for failed workflows
3. Force flag to cancel and restart
4. Validation prevents concurrent workflows
"""

from unittest.mock import AsyncMock, patch

import pytest
from hatchet_sdk.clients.rest.exceptions import ApiException
from hatchet_sdk.clients.rest.models import V1TaskStatus

from reflector.db.transcripts import Transcript


@pytest.mark.usefixtures("setup_database")
@pytest.mark.asyncio
async def test_hatchet_validation_blocks_running_workflow():
    """Test that validation blocks reprocessing when workflow is running."""
    from reflector.services.transcript_process import (
        ValidationAlreadyScheduled,
        validate_transcript_for_processing,
    )

    mock_transcript = Transcript(
        id="test-transcript-id",
        name="Test",
        status="processing",
        source_kind="room",
        workflow_run_id="running-workflow-123",
    )

    with patch("reflector.services.transcript_process.settings") as mock_settings:
        mock_settings.HATCHET_ENABLED = True

        with patch(
            "reflector.services.transcript_process.HatchetClientManager"
        ) as mock_hatchet:
            mock_hatchet.get_workflow_run_status = AsyncMock(
                return_value=V1TaskStatus.RUNNING
            )

            with patch(
                "reflector.services.transcript_process.task_is_scheduled_or_active"
            ) as mock_celery_check:
                mock_celery_check.return_value = False

                result = await validate_transcript_for_processing(mock_transcript)

            assert isinstance(result, ValidationAlreadyScheduled)
            assert "running" in result.detail.lower()


@pytest.mark.usefixtures("setup_database")
@pytest.mark.asyncio
async def test_hatchet_validation_blocks_queued_workflow():
    """Test that validation blocks reprocessing when workflow is queued."""
    from reflector.services.transcript_process import (
        ValidationAlreadyScheduled,
        validate_transcript_for_processing,
    )

    mock_transcript = Transcript(
        id="test-transcript-id",
        name="Test",
        status="processing",
        source_kind="room",
        workflow_run_id="queued-workflow-123",
    )

    with patch("reflector.services.transcript_process.settings") as mock_settings:
        mock_settings.HATCHET_ENABLED = True

        with patch(
            "reflector.services.transcript_process.HatchetClientManager"
        ) as mock_hatchet:
            mock_hatchet.get_workflow_run_status = AsyncMock(
                return_value=V1TaskStatus.QUEUED
            )

            with patch(
                "reflector.services.transcript_process.task_is_scheduled_or_active"
            ) as mock_celery_check:
                mock_celery_check.return_value = False

                result = await validate_transcript_for_processing(mock_transcript)

            assert isinstance(result, ValidationAlreadyScheduled)


@pytest.mark.usefixtures("setup_database")
@pytest.mark.asyncio
async def test_hatchet_validation_allows_failed_workflow():
    """Test that validation allows reprocessing when workflow has failed."""
    from reflector.services.transcript_process import (
        ValidationOk,
        validate_transcript_for_processing,
    )

    mock_transcript = Transcript(
        id="test-transcript-id",
        name="Test",
        status="error",
        source_kind="room",
        workflow_run_id="failed-workflow-123",
        recording_id="test-recording-id",
    )

    with patch("reflector.services.transcript_process.settings") as mock_settings:
        mock_settings.HATCHET_ENABLED = True

        with patch(
            "reflector.services.transcript_process.HatchetClientManager"
        ) as mock_hatchet:
            mock_hatchet.get_workflow_run_status = AsyncMock(
                return_value=V1TaskStatus.FAILED
            )

            with patch(
                "reflector.services.transcript_process.task_is_scheduled_or_active"
            ) as mock_celery_check:
                mock_celery_check.return_value = False

                result = await validate_transcript_for_processing(mock_transcript)

            assert isinstance(result, ValidationOk)
            assert result.transcript_id == "test-transcript-id"


@pytest.mark.usefixtures("setup_database")
@pytest.mark.asyncio
async def test_hatchet_validation_allows_completed_workflow():
    """Test that validation allows reprocessing when workflow has completed."""
    from reflector.services.transcript_process import (
        ValidationOk,
        validate_transcript_for_processing,
    )

    mock_transcript = Transcript(
        id="test-transcript-id",
        name="Test",
        status="ended",
        source_kind="room",
        workflow_run_id="completed-workflow-123",
        recording_id="test-recording-id",
    )

    with patch("reflector.services.transcript_process.settings") as mock_settings:
        mock_settings.HATCHET_ENABLED = True

        with patch(
            "reflector.services.transcript_process.HatchetClientManager"
        ) as mock_hatchet:
            mock_hatchet.get_workflow_run_status = AsyncMock(
                return_value=V1TaskStatus.COMPLETED
            )

            with patch(
                "reflector.services.transcript_process.task_is_scheduled_or_active"
            ) as mock_celery_check:
                mock_celery_check.return_value = False

                result = await validate_transcript_for_processing(mock_transcript)

            assert isinstance(result, ValidationOk)


@pytest.mark.usefixtures("setup_database")
@pytest.mark.asyncio
async def test_hatchet_validation_allows_when_status_check_fails():
    """Test that validation allows reprocessing when status check fails (workflow might be gone)."""
    from reflector.services.transcript_process import (
        ValidationOk,
        validate_transcript_for_processing,
    )

    mock_transcript = Transcript(
        id="test-transcript-id",
        name="Test",
        status="error",
        source_kind="room",
        workflow_run_id="old-workflow-123",
        recording_id="test-recording-id",
    )

    with patch("reflector.services.transcript_process.settings") as mock_settings:
        mock_settings.HATCHET_ENABLED = True

        with patch(
            "reflector.services.transcript_process.HatchetClientManager"
        ) as mock_hatchet:
            # Status check fails (workflow might be deleted)
            mock_hatchet.get_workflow_run_status = AsyncMock(
                side_effect=ApiException("Workflow not found")
            )

            with patch(
                "reflector.services.transcript_process.task_is_scheduled_or_active"
            ) as mock_celery_check:
                mock_celery_check.return_value = False

                result = await validate_transcript_for_processing(mock_transcript)

            # Should allow processing when we can't get status
            assert isinstance(result, ValidationOk)


@pytest.mark.usefixtures("setup_database")
@pytest.mark.asyncio
async def test_hatchet_validation_skipped_when_no_workflow_id():
    """Test that Hatchet validation is skipped when transcript has no workflow_run_id."""
    from reflector.services.transcript_process import (
        ValidationOk,
        validate_transcript_for_processing,
    )

    mock_transcript = Transcript(
        id="test-transcript-id",
        name="Test",
        status="uploaded",
        source_kind="room",
        workflow_run_id=None,  # No workflow yet
        recording_id="test-recording-id",
    )

    with patch("reflector.services.transcript_process.settings") as mock_settings:
        mock_settings.HATCHET_ENABLED = True

        with patch(
            "reflector.services.transcript_process.HatchetClientManager"
        ) as mock_hatchet:
            # Should not be called
            mock_hatchet.get_workflow_run_status = AsyncMock()

            with patch(
                "reflector.services.transcript_process.task_is_scheduled_or_active"
            ) as mock_celery_check:
                mock_celery_check.return_value = False

                result = await validate_transcript_for_processing(mock_transcript)

            # Should not check Hatchet status
            mock_hatchet.get_workflow_run_status.assert_not_called()
            assert isinstance(result, ValidationOk)


@pytest.mark.usefixtures("setup_database")
@pytest.mark.asyncio
async def test_hatchet_validation_skipped_when_disabled():
    """Test that Hatchet validation is skipped when HATCHET_ENABLED is False."""
    from reflector.services.transcript_process import (
        ValidationOk,
        validate_transcript_for_processing,
    )

    mock_transcript = Transcript(
        id="test-transcript-id",
        name="Test",
        status="uploaded",
        source_kind="room",
        workflow_run_id="some-workflow-123",
        recording_id="test-recording-id",
    )

    with patch("reflector.services.transcript_process.settings") as mock_settings:
        mock_settings.HATCHET_ENABLED = False  # Hatchet disabled

        with patch(
            "reflector.services.transcript_process.task_is_scheduled_or_active"
        ) as mock_celery_check:
            mock_celery_check.return_value = False

            result = await validate_transcript_for_processing(mock_transcript)

        # Should not check Hatchet at all
        assert isinstance(result, ValidationOk)


@pytest.mark.usefixtures("setup_database")
@pytest.mark.asyncio
async def test_validation_locked_transcript():
    """Test that validation rejects locked transcripts."""
    from reflector.services.transcript_process import (
        ValidationLocked,
        validate_transcript_for_processing,
    )

    mock_transcript = Transcript(
        id="test-transcript-id",
        name="Test",
        status="ended",
        source_kind="room",
        locked=True,
    )

    result = await validate_transcript_for_processing(mock_transcript)

    assert isinstance(result, ValidationLocked)
    assert "locked" in result.detail.lower()


@pytest.mark.usefixtures("setup_database")
@pytest.mark.asyncio
async def test_validation_idle_transcript():
    """Test that validation rejects idle transcripts (not ready)."""
    from reflector.services.transcript_process import (
        ValidationNotReady,
        validate_transcript_for_processing,
    )

    mock_transcript = Transcript(
        id="test-transcript-id",
        name="Test",
        status="idle",
        source_kind="room",
    )

    result = await validate_transcript_for_processing(mock_transcript)

    assert isinstance(result, ValidationNotReady)
    assert "not ready" in result.detail.lower()


@pytest.mark.usefixtures("setup_database")
@pytest.mark.asyncio
async def test_prepare_multitrack_config():
    """Test preparing multitrack processing config."""
    from reflector.db.recordings import Recording
    from reflector.services.transcript_process import (
        MultitrackProcessingConfig,
        ValidationOk,
        prepare_transcript_processing,
    )

    validation = ValidationOk(
        recording_id="test-recording-id",
        transcript_id="test-transcript-id",
    )

    mock_recording = Recording(
        id="test-recording-id",
        bucket_name="test-bucket",
        object_key="recordings/test",
        recorded_at="2024-01-01T00:00:00Z",
        track_keys=["track1.webm", "track2.webm"],
    )

    with patch(
        "reflector.services.transcript_process.recordings_controller"
    ) as mock_rc:
        mock_rc.get_by_id = AsyncMock(return_value=mock_recording)

        result = await prepare_transcript_processing(validation)

    assert isinstance(result, MultitrackProcessingConfig)
    assert result.bucket_name == "test-bucket"
    assert result.track_keys == ["track1.webm", "track2.webm"]
    assert result.transcript_id == "test-transcript-id"
    assert result.room_id is None  # ValidationOk didn't specify room_id


@pytest.mark.usefixtures("setup_database")
@pytest.mark.asyncio
async def test_prepare_file_config():
    """Test preparing file processing config (no track keys)."""
    from reflector.db.recordings import Recording
    from reflector.services.transcript_process import (
        FileProcessingConfig,
        ValidationOk,
        prepare_transcript_processing,
    )

    validation = ValidationOk(
        recording_id="test-recording-id",
        transcript_id="test-transcript-id",
    )

    mock_recording = Recording(
        id="test-recording-id",
        bucket_name="test-bucket",
        object_key="recordings/test.mp4",
        recorded_at="2024-01-01T00:00:00Z",
        track_keys=None,  # No track keys = file pipeline
    )

    with patch(
        "reflector.services.transcript_process.recordings_controller"
    ) as mock_rc:
        mock_rc.get_by_id = AsyncMock(return_value=mock_recording)

        result = await prepare_transcript_processing(validation)

    assert isinstance(result, FileProcessingConfig)
    assert result.transcript_id == "test-transcript-id"