"""Test unified monitoring dashboard functionality."""

import pytest

from tests.base_test import BaseCrackerjackFeatureTest


class TestUnifiedMonitoringDashboard(BaseCrackerjackFeatureTest):
    """Test unified monitoring dashboard functionality."""

    @pytest.fixture
    def websocket_server(self):
        """Fixture for WebSocket server testing."""
        # server = CrackerjackWebSocketServer()
        # yield server
        # # Cleanup
        # asyncio.create_task(server.stop())
        pass

    @pytest.mark.asyncio
    async def test_websocket_server_startup(self, websocket_server):
        """Test WebSocket server starts and accepts connections."""
        # await websocket_server.start(port=8676)
        #
        # # Test connection
        # async with websockets.connect("ws://localhost:8676") as websocket:
        #     # Send test message
        #     test_message = {"type": "ping", "data": "test"}
        #     await websocket.send(json.dumps(test_message))
        #
        #     # Receive response
        #     response = await asyncio.wait_for(websocket.recv(), timeout=5.0)
        #     response_data = json.loads(response)
        #
        #     assert response_data["type"] == "pong"
        pass

    @pytest.mark.asyncio
    async def test_real_time_metrics_streaming(self, websocket_server):
        """Test real-time metrics streaming to connected clients."""
        # await websocket_server.start(port=8676)
        #
        # metrics_collector = MetricsCollector()
        #
        # # Connect WebSocket client
        # async with websockets.connect("ws://localhost:8676") as websocket:
        #     # Subscribe to metrics channel
        #     subscribe_msg = {"type": "subscribe", "channel": "metrics"}
        #     await websocket.send(json.dumps(subscribe_msg))
        #
        #     # Generate test metrics
        #     test_metric = MetricData(
        #         project_name="test_project",
        #         metric_type=MetricType.QUALITY_SCORE,
        #         metric_value=85.5,
        #         session_id="test_session",
        #     )
        #
        #     await metrics_collector.emit_metric(test_metric)
        #
        #     # Should receive metric update
        #     response = await asyncio.wait_for(websocket.recv(), timeout=5.0)
        #     metric_update = json.loads(response)
        #
        #     assert metric_update["type"] == "metric_update"
        #     assert metric_update["data"]["metric_value"] == 85.5
        pass

    def test_metrics_data_model_validation(self):
        """Test MetricData model validation."""
        # # Valid metric data
        # valid_metric = MetricData(
        #     project_name="test_project",
        #     metric_type=MetricType.QUALITY_SCORE,
        #     metric_value=85.5,
        #     session_id="session_123",
        #     timestamp=datetime.now(),
        # )
        #
        # assert valid_metric.project_name == "test_project"
        # assert valid_metric.metric_value == 85.5
        #
        # # Invalid metric data
        # with pytest.raises(ValidationError):
        #     MetricData(
        #         project_name="",  # Empty project name should fail
        #         metric_type=MetricType.QUALITY_SCORE,
        #         metric_value=-10,  # Negative quality score should fail
        #         session_id="session_123",
        #     )
        pass

    @pytest.mark.asyncio
    async def test_dashboard_component_rendering(self):
        """Test dashboard component rendering."""
        # renderer = DashboardRenderer()
        #
        # sample_metrics = [
        #     MetricData(
        #         project_name="test",
        #         metric_type=MetricType.QUALITY_SCORE,
        #         metric_value=85.0,
        #         session_id="s1",
        #     ),
        #     MetricData(
        #         project_name="test",
        #         metric_type=MetricType.TEST_COVERAGE,
        #         metric_value=92.5,
        #         session_id="s1",
        #     ),
        #     MetricData(
        #         project_name="test",
        #         metric_type=MetricType.EXECUTION_TIME,
        #         metric_value=45.2,
        #         session_id="s1",
        #     ),
        # ]
        #
        # # Test TUI rendering
        # tui_output = await renderer.render_tui_dashboard(sample_metrics)
        # assert "Quality Score: 85.0%" in tui_output
        # assert "Test Coverage: 92.5%" in tui_output
        # assert "Execution Time: 45.2s" in tui_output
        #
        # # Test web dashboard data
        # web_data = await renderer.prepare_web_dashboard_data(sample_metrics)
        # assert len(web_data["metrics"]) == 3
        # assert web_data["summary"]["quality_score"] == 85.0
        pass

    def test_alert_system_functionality(self):
        """Test monitoring alert system."""
        # alert_manager = AlertManager()
        #
        # # Configure alert rules
        # alert_rule = AlertRule(
        #     metric_type=MetricType.QUALITY_SCORE,
        #     threshold=80.0,
        #     operator="less_than",
        #     severity="warning",
        # )
        # alert_manager.add_rule(alert_rule)
        #
        # # Test alert triggering
        # low_quality_metric = MetricData(
        #     project_name="test",
        #     metric_type=MetricType.QUALITY_SCORE,
        #     metric_value=75.0,  # Below threshold
        #     session_id="session",
        # )
        #
        # alerts = alert_manager.check_alerts([low_quality_metric])
        #
        # assert len(alerts) == 1
        # assert alerts[0].severity == "warning"
        # assert alerts[0].message.lower().find("quality") >= 0
        pass


class TestMonitoringPersistence(BaseCrackerjackFeatureTest):
    """Test monitoring data persistence and querying."""

    @pytest.fixture
    def test_database(self):
        """In-memory SQLite database for testing."""
        # engine = create_engine("sqlite:///:memory:")
        # SQLModel.metadata.create_all(engine)
        # return engine
        pass

    def test_metric_record_crud_operations(self, test_database):
        """Test MetricRecord database operations."""
        # with Session(test_database) as session:
        #     # Create metric record
        #     metric = MetricRecord(
        #         project_name="test_project",
        #         metric_type="quality_score",
        #         metric_value=85.5,
        #         session_id="test_session",
        #         timestamp=datetime.now(),
        #     )
        #
        #     session.add(metric)
        #     session.commit()
        #     session.refresh(metric)
        #
        #     # Verify creation
        #     assert metric.id is not None
        #     assert metric.project_name == "test_project"
        #
        #     # Query metric
        #     queried_metric = session.get(MetricRecord, metric.id)
        #     assert queried_metric.metric_value == 85.5
        #
        #     # Update metric
        #     queried_metric.metric_value = 90.0
        #     session.commit()
        #     session.refresh(queried_metric)
        #     assert queried_metric.metric_value == 90.0
        #
        #     # Delete metric
        #     session.delete(queried_metric)
        #     session.commit()
        #
        #     deleted_metric = session.get(MetricRecord, metric.id)
        #     assert deleted_metric is None
        pass

    def test_historical_data_querying(self, test_database):
        """Test querying historical metrics data."""
        # with Session(test_database) as session:
        #     # Insert historical data
        #     base_time = datetime.now() - timedelta(days=7)
        #
        #     for i in range(7):
        #         metric = MetricRecord(
        #             project_name="test_project",
        #             metric_type="quality_score",
        #             metric_value=80.0 + i,
        #             session_id=f"session_{i}",
        #             timestamp=base_time + timedelta(days=i),
        #         )
        #         session.add(metric)
        #
        #     session.commit()
        #
        #     # Query recent metrics
        #     recent_metrics = session.exec(
        #         select(MetricRecord)
        #         .where(MetricRecord.timestamp >= datetime.now() - timedelta(days=3))
        #         .order_by(MetricRecord.timestamp.desc())
        #     ).all()
        #
        #     assert len(recent_metrics) == 3
        #     assert recent_metrics[0].metric_value == 86.0  # Most recent
        pass

    def test_database_performance_with_large_dataset(self, test_database):
        """Test database performance with large metric datasets."""
        # with Session(test_database) as session:
        #     # Insert large dataset
        #     metrics = []
        #     for i in range(10000):
        #         metric = MetricRecord(
        #             project_name=f"project_{i % 100}",
        #             metric_type="quality_score",
        #             metric_value=float(80 + (i % 20)),
        #             session_id=f"session_{i}",
        #             timestamp=datetime.now() - timedelta(minutes=i),
        #         )
        #         metrics.append(metric)
        #
        #     # Bulk insert performance test
        #     start_time = time.time()
        #     session.add_all(metrics)
        #     session.commit()
        #     insert_time = time.time() - start_time
        #
        #     # Should complete bulk insert in reasonable time
        #     assert insert_time < 5.0  # Less than 5 seconds
        #
        #     # Query performance test
        #     start_time = time.time()
        #     results = session.exec(
        #         select(MetricRecord)
        #         .where(MetricRecord.project_name == "project_1")
        #         .order_by(MetricRecord.timestamp.desc())
        #         .limit(100)
        #     ).all()
        #     query_time = time.time() - start_time
        #
        #     assert len(results) == 100
        #     assert query_time < 0.1  # Less than 100ms
        pass

    def test_monitoring_integration_end_to_end(self, test_database):
        """Test end-to-end monitoring integration."""
        # # Setup complete monitoring system
        # monitoring_system = UnifiedMonitoringSystem(database_engine=test_database)
        #
        # # Start monitoring
        # monitoring_system.start_monitoring()
        #
        # # Simulate crackerjack workflow with monitoring
        # workflow_metrics = {
        #     "start_time": datetime.now(),
        #     "quality_score": 85.5,
        #     "test_coverage": 92.0,
        #     "execution_time": 45.2,
        #     "issues_fixed": 12,
        # }
        #
        # # Emit metrics
        # for metric_name, metric_value in workflow_metrics.items():
        #     if metric_name != "start_time":
        #         monitoring_system.record_metric(
        #             project_name="integration_test",
        #             metric_type=metric_name,
        #             metric_value=metric_value,
        #             session_id="integration_session",
        #         )
        #
        # # Verify metrics were recorded
        # recorded_metrics = monitoring_system.get_session_metrics("integration_session")
        # assert len(recorded_metrics) == 4
        #
        # # Verify dashboard can render metrics
        # dashboard_data = monitoring_system.get_dashboard_data("integration_test")
        # assert dashboard_data["current_quality_score"] == 85.5
        # assert dashboard_data["current_test_coverage"] == 92.0
        pass
