"""
Comprehensive tests for Phase 4 Next multi-cloud and data lake integration.
"""

import unittest
from unittest.mock import Mock, patch, MagicMock
import pandas as pd
import numpy as np
from datetime import datetime

from lineagepy.core.tracker import LineageTracker


class TestGCSConnector(unittest.TestCase):
    """Test Google Cloud Storage connector."""

    def setUp(self):
        self.tracker = LineageTracker()

    @patch('lineagepy.connectors.gcs.storage')
    def test_gcs_connector_import_handling(self, mock_storage):
        """Test graceful handling of missing GCS dependencies."""
        try:
            from lineagepy.connectors.gcs import GCSConnector

            # Mock successful connector creation
            connector = GCSConnector(
                bucket_name='test-bucket',
                project_id='test-project',
                tracker=self.tracker
            )
            self.assertEqual(connector.bucket_name, 'test-bucket')
            self.assertEqual(connector.project_id, 'test-project')

        except ImportError:
            # Expected when google-cloud-storage is not installed
            self.skipTest("google-cloud-storage not available")

    @patch('lineagepy.connectors.gcs.storage')
    def test_gcs_connection(self, mock_storage):
        """Test GCS connection establishment."""
        try:
            from lineagepy.connectors.gcs import GCSConnector

            # Mock GCS client and bucket
            mock_client = Mock()
            mock_bucket = Mock()
            mock_storage.Client.return_value = mock_client
            mock_client.bucket.return_value = mock_bucket

            connector = GCSConnector(
                bucket_name='test-bucket',
                project_id='test-project',
                tracker=self.tracker
            )

            connector.connect()

            self.assertTrue(connector.connection)
            mock_client.bucket.assert_called_with('test-bucket')

        except ImportError:
            self.skipTest("google-cloud-storage not available")

    @patch('lineagepy.connectors.gcs.storage')
    def test_gcs_object_operations(self, mock_storage):
        """Test GCS object operations."""
        try:
            from lineagepy.connectors.gcs import GCSConnector

            # Mock setup
            mock_client = Mock()
            mock_bucket = Mock()
            mock_blob = Mock()

            mock_storage.Client.return_value = mock_client
            mock_client.bucket.return_value = mock_bucket
            mock_bucket.blob.return_value = mock_blob
            mock_blob.exists.return_value = True

            connector = GCSConnector(
                bucket_name='test-bucket',
                project_id='test-project',
                tracker=self.tracker
            )
            connector.connection = True
            connector.bucket = mock_bucket

            # Test object existence
            exists = connector.object_exists('test-file.txt')
            self.assertTrue(exists)

            # Test upload
            with patch('builtins.open', unittest.mock.mock_open(read_data="test data")):
                upload_result = connector.upload_object(
                    'local_file.txt', 'remote_file.txt')
                self.assertTrue(upload_result)
                mock_blob.upload_from_filename.assert_called_with(
                    'local_file.txt')

        except ImportError:
            self.skipTest("google-cloud-storage not available")


class TestAzureBlobConnector(unittest.TestCase):
    """Test Azure Blob Storage connector."""

    def setUp(self):
        self.tracker = LineageTracker()

    @patch('lineagepy.connectors.azure_blob.BlobServiceClient')
    def test_azure_connector_import_handling(self, mock_blob_service):
        """Test graceful handling of missing Azure dependencies."""
        try:
            from lineagepy.connectors.azure_blob import AzureBlobConnector

            connector = AzureBlobConnector(
                account_name='testaccount',
                container_name='test-container',
                tracker=self.tracker
            )
            self.assertEqual(connector.account_name, 'testaccount')
            self.assertEqual(connector.container_name, 'test-container')

        except ImportError:
            self.skipTest("azure-storage-blob not available")

    @patch('lineagepy.connectors.azure_blob.BlobServiceClient')
    def test_azure_connection(self, mock_blob_service):
        """Test Azure connection establishment."""
        try:
            from lineagepy.connectors.azure_blob import AzureBlobConnector

            # Mock Azure services
            mock_service = Mock()
            mock_container = Mock()
            mock_blob_service.return_value = mock_service
            mock_service.get_container_client.return_value = mock_container

            connector = AzureBlobConnector(
                account_name='testaccount',
                container_name='test-container',
                connection_string='DefaultEndpointsProtocol=https;AccountName=test;',
                tracker=self.tracker
            )

            connector.connect()

            self.assertTrue(connector.connection)
            mock_service.get_container_client.assert_called_with(
                'test-container')

        except ImportError:
            self.skipTest("azure-storage-blob not available")

    @patch('lineagepy.connectors.azure_blob.BlobServiceClient')
    def test_azure_tier_management(self, mock_blob_service):
        """Test Azure blob tier management."""
        try:
            from lineagepy.connectors.azure_blob import AzureBlobConnector

            # Mock setup
            mock_service = Mock()
            mock_container = Mock()
            mock_blob = Mock()

            mock_blob_service.return_value = mock_service
            mock_service.get_container_client.return_value = mock_container
            mock_container.get_blob_client.return_value = mock_blob

            connector = AzureBlobConnector(
                account_name='testaccount',
                container_name='test-container',
                tracker=self.tracker
            )
            connector.connection = True
            connector.container_client = mock_container

            # Test tier setting
            tier_result = connector.set_blob_tier('test-blob.txt', 'Cool')
            self.assertTrue(tier_result)
            mock_blob.set_standard_blob_tier.assert_called_with('Cool')

        except ImportError:
            self.skipTest("azure-storage-blob not available")


class TestDeltaLakeConnector(unittest.TestCase):
    """Test Delta Lake connector."""

    def setUp(self):
        self.tracker = LineageTracker()

    def test_delta_connector_import_handling(self):
        """Test graceful handling of missing Delta Lake dependencies."""
        try:
            from lineagepy.connectors.delta_lake import DeltaLakeConnector

            connector = DeltaLakeConnector(
                table_path='./test-delta-table',
                tracker=self.tracker
            )
            self.assertEqual(connector.table_path, './test-delta-table')

        except ImportError:
            self.skipTest("deltalake not available")

    @patch('lineagepy.connectors.delta_lake.DeltaTable')
    def test_delta_connection(self, mock_delta_table):
        """Test Delta Lake connection."""
        try:
            from lineagepy.connectors.delta_lake import DeltaLakeConnector

            # Mock Delta table
            mock_table = Mock()
            mock_delta_table.return_value = mock_table

            connector = DeltaLakeConnector(
                table_path='./test-delta-table',
                tracker=self.tracker
            )

            connector.connect()

            self.assertTrue(connector.connection)

        except ImportError:
            self.skipTest("deltalake not available")

    @patch('lineagepy.connectors.delta_lake.write_deltalake')
    @patch('lineagepy.connectors.delta_lake.DeltaTable')
    def test_delta_operations(self, mock_delta_table, mock_write):
        """Test Delta Lake operations."""
        try:
            from lineagepy.connectors.delta_lake import DeltaLakeConnector

            # Mock Delta table with version tracking
            mock_table = Mock()
            mock_table.version.return_value = 1
            mock_delta_table.return_value = mock_table

            connector = DeltaLakeConnector(
                table_path='./test-delta-table',
                tracker=self.tracker
            )
            connector.connection = True

            # Test write operation
            test_df = pd.DataFrame({'id': [1, 2, 3], 'value': ['a', 'b', 'c']})
            write_result = connector.write_table(test_df, mode='append')

            self.assertTrue(write_result)
            mock_write.assert_called_once()

        except ImportError:
            self.skipTest("deltalake not available")


class TestIcebergConnector(unittest.TestCase):
    """Test Apache Iceberg connector."""

    def setUp(self):
        self.tracker = LineageTracker()

    def test_iceberg_connector_import_handling(self):
        """Test graceful handling of missing Iceberg dependencies."""
        try:
            from lineagepy.connectors.iceberg import IcebergConnector

            connector = IcebergConnector(
                catalog_uri='memory://',
                tracker=self.tracker
            )
            self.assertEqual(connector.catalog_uri, 'memory://')

        except ImportError:
            self.skipTest("pyiceberg not available")

    @patch('lineagepy.connectors.iceberg.load_catalog')
    def test_iceberg_connection(self, mock_load_catalog):
        """Test Iceberg connection."""
        try:
            from lineagepy.connectors.iceberg import IcebergConnector

            # Mock catalog
            mock_catalog = Mock()
            mock_load_catalog.return_value = mock_catalog

            connector = IcebergConnector(
                catalog_uri='memory://',
                tracker=self.tracker
            )

            connector.connect()

            self.assertTrue(connector.connection)
            mock_load_catalog.assert_called_once()

        except ImportError:
            self.skipTest("pyiceberg not available")

    @patch('lineagepy.connectors.iceberg.load_catalog')
    def test_iceberg_schema_evolution(self, mock_load_catalog):
        """Test Iceberg schema evolution."""
        try:
            from lineagepy.connectors.iceberg import IcebergConnector

            # Mock catalog and table
            mock_catalog = Mock()
            mock_table = Mock()
            mock_update_context = Mock()

            mock_load_catalog.return_value = mock_catalog
            mock_catalog.load_table.return_value = mock_table
            mock_table.update_schema.return_value.__enter__.return_value = mock_update_context

            connector = IcebergConnector(
                catalog_uri='memory://',
                tracker=self.tracker
            )
            connector.connection = True
            connector.catalog = mock_catalog

            # Test schema evolution
            evolution_result = connector.evolve_schema(
                'test.table',
                add_columns=[('new_column', 'string')]
            )

            self.assertTrue(evolution_result)
            mock_catalog.load_table.assert_called_with('test.table')

        except ImportError:
            self.skipTest("pyiceberg not available")


class TestUniversalCloudManager(unittest.TestCase):
    """Test Universal Cloud Manager."""

    def setUp(self):
        self.tracker = LineageTracker()

    def test_universal_cloud_manager_init(self):
        """Test Universal Cloud Manager initialization."""
        try:
            from lineagepy.cloud import UniversalCloudManager

            # Mock connectors
            mock_connectors = {
                'aws': Mock(),
                'gcp': Mock()
            }

            manager = UniversalCloudManager(
                cloud_connectors=mock_connectors,
                tracker=self.tracker
            )

            self.assertEqual(len(manager.cloud_connectors), 2)
            self.assertIn('aws', manager.cloud_connectors)
            self.assertIn('gcp', manager.cloud_connectors)

        except ImportError:
            self.skipTest("Universal Cloud Manager not available")

    def test_cloud_manager_operations(self):
        """Test cloud manager operations."""
        try:
            from lineagepy.cloud import UniversalCloudManager

            # Mock connectors with required methods
            mock_aws = Mock()
            mock_aws.list_objects.return_value = [
                {'key': 'file1.txt', 'size': 1024},
                {'key': 'file2.txt', 'size': 2048}
            ]

            mock_gcp = Mock()
            mock_gcp.list_objects.return_value = []

            mock_connectors = {
                'aws': mock_aws,
                'gcp': mock_gcp
            }

            manager = UniversalCloudManager(
                cloud_connectors=mock_connectors,
                tracker=self.tracker
            )

            # Test cloud listing
            clouds = manager.list_clouds()
            self.assertEqual(len(clouds), 2)

            # Test connector retrieval
            aws_connector = manager.get_cloud_connector('aws')
            self.assertEqual(aws_connector, mock_aws)

        except ImportError:
            self.skipTest("Universal Cloud Manager not available")

    def test_cross_cloud_pipeline(self):
        """Test cross-cloud pipeline creation."""
        try:
            from lineagepy.cloud import UniversalCloudManager, CrossCloudPipeline

            mock_connectors = {
                'aws': Mock(),
                'gcp': Mock()
            }

            manager = UniversalCloudManager(
                cloud_connectors=mock_connectors,
                tracker=self.tracker
            )

            # Create pipeline
            pipeline = manager.create_pipeline()
            self.assertIsInstance(pipeline, CrossCloudPipeline)

            # Add pipeline steps
            pipeline.extract('aws:data/input.csv') \
                .transform(lambda df: df.head(10), 'sample_data') \
                .load('gcp:output/sample.csv')

            self.assertEqual(len(pipeline.steps), 3)

            # Test dry run
            results = pipeline.execute(dry_run=True)
            self.assertTrue(results['success'])
            self.assertEqual(len(results['steps']), 3)

        except ImportError:
            self.skipTest("Cross-cloud pipeline not available")


class TestCostOptimizer(unittest.TestCase):
    """Test Cloud Cost Optimizer."""

    def setUp(self):
        self.tracker = LineageTracker()

    def test_cost_optimizer_init(self):
        """Test cost optimizer initialization."""
        try:
            from lineagepy.cloud import CloudCostOptimizer

            mock_connectors = {
                'aws': Mock(),
                'azure': Mock()
            }

            optimizer = CloudCostOptimizer(mock_connectors, self.tracker)

            self.assertEqual(len(optimizer.cloud_connectors), 2)
            self.assertIn('aws', optimizer.cost_models)
            self.assertIn('azure', optimizer.cost_models)

        except ImportError:
            self.skipTest("Cost optimizer not available")

    def test_cost_analysis(self):
        """Test cost analysis functionality."""
        try:
            from lineagepy.cloud import CloudCostOptimizer

            # Mock connector with object data
            mock_aws = Mock()
            mock_aws.list_objects.return_value = [
                {'key': 'file1.txt', 'size': 1024 * 1024 * 1024},  # 1GB
                {'key': 'file2.txt', 'size': 2 * 1024 * 1024 * 1024}  # 2GB
            ]

            mock_connectors = {'aws': mock_aws}

            optimizer = CloudCostOptimizer(mock_connectors, self.tracker)

            # Analyze costs
            analysis = optimizer.analyze_costs('30d')

            self.assertIn('time_period', analysis)
            self.assertIn('cloud_costs', analysis)
            self.assertIn('total_estimated_cost', analysis)
            self.assertEqual(analysis['time_period'], '30d')

        except ImportError:
            self.skipTest("Cost optimizer not available")

    def test_optimization_recommendations(self):
        """Test optimization recommendations."""
        try:
            from lineagepy.cloud import CloudCostOptimizer
            from datetime import datetime, timedelta

            # Mock connector with old objects
            old_date = datetime.now() - timedelta(days=120)
            mock_aws = Mock()
            mock_aws.list_objects.return_value = [
                {
                    'key': 'old_file.txt',
                    'size': 1024 * 1024 * 1024,  # 1GB
                    'last_modified': old_date
                }
            ]

            mock_connectors = {'aws': mock_aws}

            optimizer = CloudCostOptimizer(mock_connectors, self.tracker)

            # Get optimization recommendations
            optimization = optimizer.optimize_costs()

            self.assertIn('potential_savings', optimization)
            self.assertIn('recommendations', optimization)
            self.assertIsInstance(optimization['recommendations'], list)

        except ImportError:
            self.skipTest("Cost optimizer not available")


class TestMultiCloudIntegration(unittest.TestCase):
    """Test overall multi-cloud integration."""

    def setUp(self):
        self.tracker = LineageTracker()

    def test_lineage_tracking_across_clouds(self):
        """Test lineage tracking across multiple cloud providers."""
        # Create mock operations across different clouds
        self.tracker.add_operation_context(
            operation_name="s3_read",
            context={'cloud_provider': 'aws', 'bucket': 'test-bucket'}
        )

        self.tracker.add_operation_context(
            operation_name="gcs_write",
            context={'cloud_provider': 'gcp', 'bucket': 'test-bucket'}
        )

        self.tracker.add_operation_context(
            operation_name="cross_cloud_sync",
            context={
                'source_cloud': 'aws',
                'target_cloud': 'gcp',
                'operation': 'sync'
            }
        )

        # Verify tracking
        operations = self.tracker.operations
        self.assertEqual(len(operations), 3)

        # Check cloud operations
        aws_ops = [op for op in operations
                   if op.get('context', {}).get('cloud_provider') == 'aws']
        gcp_ops = [op for op in operations
                   if op.get('context', {}).get('cloud_provider') == 'gcp']

        self.assertEqual(len(aws_ops), 1)
        self.assertEqual(len(gcp_ops), 1)

    def test_connector_error_handling(self):
        """Test error handling for missing dependencies."""
        # Test that connectors handle missing dependencies gracefully

        # This should not raise an exception even if dependencies are missing
        try:
            from lineagepy.connectors import (
                GCSConnector, AzureBlobConnector,
                DeltaLakeConnector, IcebergConnector
            )

            # If import succeeds, connectors should exist but may be None
            # if dependencies are not installed
            connectors = [GCSConnector, AzureBlobConnector,
                          DeltaLakeConnector, IcebergConnector]

            # At least the classes should be importable
            for connector in connectors:
                if connector is not None:
                    self.assertTrue(callable(connector))

        except ImportError:
            # Expected if optional dependencies are not installed
            pass

    def test_multi_cloud_node_types(self):
        """Test cloud-specific node types."""
        from lineagepy.core.nodes import CloudNode

        # Test AWS S3 node
        s3_node = CloudNode(
            node_id='s3_test_node',
            name='S3 Test Object',
            bucket_name='test-bucket',
            object_key='data/test.parquet',
            cloud_provider='aws'
        )

        self.assertEqual(s3_node.cloud_provider, 'aws')
        self.assertEqual(s3_node.bucket_name, 'test-bucket')
        self.assertEqual(s3_node.object_key, 'data/test.parquet')

        # Test GCS node
        gcs_node = CloudNode(
            node_id='gcs_test_node',
            name='GCS Test Object',
            bucket_name='test-bucket',
            object_key='data/test.parquet',
            cloud_provider='gcp'
        )

        self.assertEqual(gcs_node.cloud_provider, 'gcp')

        # Test Azure node
        azure_node = CloudNode(
            node_id='azure_test_node',
            name='Azure Test Object',
            bucket_name='test-container',
            object_key='data/test.parquet',
            cloud_provider='azure'
        )

        self.assertEqual(azure_node.cloud_provider, 'azure')


if __name__ == '__main__':
    unittest.main()
