#exonware/xwjson/tests/2.integration/scenarios/test_additional_comprehensive_coverage.py
"""
Additional Comprehensive Coverage Tests
Company: eXonware.com
Author: eXonware Backend Team
Email: connect@exonware.com
Version: 0.0.1.0
Generation Date: 2025-01-XX
Additional comprehensive tests to increase coverage:
- More format conversion scenarios
- More edge cases
- More operation combinations
- More stress scenarios
"""

import pytest
import asyncio
from exonware.xwjson import XWJSONSerializer
from exonware.xwjson.operations.xwjson_ops import XWJSONDataOperations
from exonware.xwjson.formats.binary.xwjson.converter import XWJSONConverter
from exonware.xwjson.formats.binary.xwjson.transactions import XWJSONTransaction, TransactionContext
from exonware.xwjson.formats.binary.xwjson.batch_operations import SmartBatchExecutor
from exonware.xwjson.formats.binary.xwjson.metadata import FormatMetadataExtractor, FormatMetadataRestorer
from exonware.xwjson.formats.binary.xwjson.schema import XWJSONSchemaValidator
from exonware.xwsystem.io.errors import SerializationError
@pytest.mark.xwjson_integration
@pytest.mark.xwjson_serialization

class TestAdditionalFormatConversions:
    """Additional format conversion scenarios."""
    @pytest.fixture

    def converter(self):
        """Create converter instance."""
        return XWJSONConverter()
    @pytest.mark.asyncio

    async def test_all_format_combinations_matrix(self, converter):
        """Test all format combinations in a matrix."""
        data = {
            "test": "data",
            "number": 123,
            "list": [1, 2, 3],
            "nested": {"value": "test"}
        }
        formats = ["json", "yaml", "toml"]
        for source in formats:
            for target in formats:
                try:
                    result = await converter.convert(data, source, target)
                    # Convert back to verify
                    round_trip = await converter.convert(result, target, source)
                    assert round_trip == data, f"Failed: {source} → {target} → {source}"
                except (ImportError, SerializationError):
                    pass  # Some combinations may not be available
    @pytest.mark.asyncio

    async def test_conversion_with_all_data_types(self, converter):
        """Test conversion with all data types."""
        data = {
            "string": "text",
            "int": 42,
            "float": 3.14,
            "bool": True,
            "none": None,
            "list": [1, "two", 3.0],
            "dict": {"key": "value"},
            "empty_dict": {},
            "empty_list": []
        }
        result = await converter.convert(data, "json", "json")
        assert result == data
    @pytest.mark.asyncio

    async def test_conversion_preserves_structure_complex(self, converter):
        """Test conversion preserves complex structure."""
        data = {
            "users": [
                {
                    "id": 1,
                    "name": "Alice",
                    "metadata": {
                        "created": "2025-01-01",
                        "tags": ["admin", "user"],
                        "preferences": {
                            "theme": "dark",
                            "notifications": True
                        }
                    }
                }
            ],
            "settings": {
                "version": "1.0",
                "features": {
                    "feature1": True,
                    "feature2": False
                }
            }
        }
        result = await converter.convert(data, "json", "json")
        assert result == data
@pytest.mark.xwjson_integration
@pytest.mark.xwjson_operations
@pytest.mark.asyncio

class TestAdditionalOperations:
    """Additional operation scenarios."""
    @pytest.fixture

    def ops(self):
        """Create operations instance."""
        return XWJSONDataOperations()
    @pytest.mark.asyncio

    async def test_complex_path_operations(self, ops, temp_dir):
        """Test complex path operations."""
        file_path = temp_dir / "test.xwjson"
        data = {
            "level1": {
                "level2": {
                    "level3": {
                        "level4": {
                            "value": "deep"
                        }
                    }
                }
            }
        }
        await ops.atomic_write(file_path, data)
        # Read deep path
        value = await ops.read_path(file_path, "/level1/level2/level3/level4/value")
        assert value == "deep"
        # Write deep path
        await ops.write_path(file_path, "/level1/level2/level3/level4/new_value", "new")
        # Verify
        loaded = await ops.atomic_read(file_path)
        assert loaded["level1"]["level2"]["level3"]["level4"]["new_value"] == "new"
    @pytest.mark.asyncio

    async def test_multiple_concurrent_operations(self, ops, temp_dir):
        """Test multiple concurrent operations."""
        file_path = temp_dir / "test.xwjson"
        data = {"counter": 0}
        await ops.atomic_write(file_path, data)
        # Run multiple operations concurrently
        async def increment():
            current = await ops.atomic_read(file_path)
            current["counter"] = current.get("counter", 0) + 1
            await ops.atomic_write(file_path, current)
        # Run 10 increments concurrently
        await asyncio.gather(*[increment() for _ in range(10)])
        # Verify (note: without locking, final value may vary)
        loaded = await ops.atomic_read(file_path)
        assert loaded["counter"] >= 1  # At least one increment happened
    @pytest.mark.asyncio

    async def test_stream_operations_large_data(self, ops, temp_dir):
        """Test stream operations with large data."""
        file_path = temp_dir / "test.xwjson"
        # Create large list
        data = [{"id": i, "value": f"item_{i}"} for i in range(10000)]
        await ops.atomic_write(file_path, data)
        # Stream and count
        count = 0
        async for record in ops.read_stream(file_path):
            count += 1
            assert "id" in record
            assert "value" in record
        assert count == 10000
    @pytest.mark.asyncio

    async def test_partial_update_complex(self, ops, temp_dir):
        """Test complex partial update operations."""
        file_path = temp_dir / "test.xwjson"
        data = {
            "users": [
                {"name": "Alice", "age": 30},
                {"name": "Bob", "age": 25}
            ],
            "settings": {"theme": "dark"}
        }
        await ops.atomic_write(file_path, data)
        # Complex patch
        patch = [
            {"op": "replace", "path": "/users/0/age", "value": 31},
            {"op": "add", "path": "/users/0/email", "value": "alice@example.com"},
            {"op": "remove", "path": "/users/1/age"},
            {"op": "replace", "path": "/settings/theme", "value": "light"}
        ]
        await ops.partial_update(file_path, patch)
        # Verify
        loaded = await ops.atomic_read(file_path)
        assert loaded["users"][0]["age"] == 31
        assert loaded["users"][0]["email"] == "alice@example.com"
        assert "age" not in loaded["users"][1]
        assert loaded["settings"]["theme"] == "light"
@pytest.mark.xwjson_integration
@pytest.mark.xwjson_operations
@pytest.mark.asyncio

class TestAdditionalTransactions:
    """Additional transaction scenarios."""
    @pytest.mark.asyncio

    async def test_transaction_multiple_commits_rollbacks(self, temp_dir):
        """Test multiple transaction commits and rollbacks."""
        file_path = temp_dir / "test.xwjson"
        serializer = XWJSONSerializer()
        serializer.save_file({"initial": "data"}, file_path)
        # Transaction 1: Commit
        tx1 = XWJSONTransaction(file_path)
        await tx1.write("key1", "value1")
        await tx1.commit()
        # Transaction 2: Rollback
        tx2 = XWJSONTransaction(file_path)
        await tx2.write("key2", "value2")
        await tx2.rollback()
        # Transaction 3: Commit
        tx3 = XWJSONTransaction(file_path)
        await tx3.write("key3", "value3")
        await tx3.commit()
        # Verify
        data = serializer.load_file(file_path)
        assert data.get("key1") == "value1"
        assert data.get("key2") is None  # Rolled back
        assert data.get("key3") == "value3"
    @pytest.mark.asyncio

    async def test_transaction_nested_operations(self, temp_dir):
        """Test transaction with nested operations."""
        file_path = temp_dir / "test.xwjson"
        async with TransactionContext(file_path) as tx:
            await tx.write("level1", {})
            await tx.update_path("/level1/level2", {})
            await tx.update_path("/level1/level2/value", "nested")
        # Verify
        serializer = XWJSONSerializer()
        data = serializer.load_file(file_path)
        assert data["level1"]["level2"]["value"] == "nested"
@pytest.mark.xwjson_integration
@pytest.mark.xwjson_operations
@pytest.mark.asyncio

class TestAdditionalBatchOperations:
    """Additional batch operation scenarios."""
    @pytest.mark.asyncio

    async def test_batch_large_number_operations(self, temp_dir):
        """Test batch with large number of operations."""
        executor = SmartBatchExecutor()
        file_path = temp_dir / "test.xwjson"
        # Create 100 operations
        operations = [
            {"op": "write", "key": f"key_{i}", "value": f"value_{i}"}
            for i in range(100)
        ]
        results = await executor.execute_batch(str(file_path), operations)
        assert len(results) == 100
    @pytest.mark.asyncio

    async def test_batch_mixed_operation_types(self, temp_dir):
        """Test batch with mixed operation types."""
        executor = SmartBatchExecutor()
        file_path = temp_dir / "test.xwjson"
        operations = [
            {"op": "write", "key": "key1", "value": "value1"},
            {"op": "update_path", "path": "/key2", "value": "value2"},
            {"op": "delete_path", "path": "/key1"},
            {"op": "update_path", "path": "/key3", "value": "value3"}
        ]
        results = await executor.execute_batch(str(file_path), operations)
        assert len(results) == 4
@pytest.mark.xwjson_integration
@pytest.mark.xwjson_serialization

class TestAdditionalMetadata:
    """Additional metadata scenarios."""

    def test_metadata_extraction_all_formats_comprehensive(self):
        """Test metadata extraction for all formats comprehensively."""
        extractor = FormatMetadataExtractor()
        # Test with various data structures
        test_cases = [
            ({"simple": "data"}, "json"),
            ({"nested": {"deep": {"value": "test"}}}, "json"),
            ({"list": [1, 2, 3]}, "json"),
            ({"ref": {"$ref": "#/definitions/Test"}}, "json"),
        ]
        for data, format_name in test_cases:
            metadata = extractor.extract(data, format_name)
            assert metadata.source_format == format_name

    def test_metadata_restoration_all_formats_comprehensive(self):
        """Test metadata restoration for all formats comprehensively."""
        restorer = FormatMetadataRestorer()
        extractor = FormatMetadataExtractor()
        data = {
            "test": "data",
            "ref": {"$ref": "#/definitions/Test"}
        }
        metadata = extractor.extract(data, "json")
        for format_name in ["json", "yaml", "xml", "toml"]:
            result = restorer.restore(data, metadata, format_name)
            # XML format returns XML Element, other formats return dict
            if format_name == "xml":
                import xml.etree.ElementTree as ET
                assert isinstance(result, ET.Element)
            else:
                assert isinstance(result, dict)
@pytest.mark.xwjson_integration
@pytest.mark.xwjson_serialization

class TestAdditionalSchema:
    """Additional schema validation scenarios."""

    def test_schema_validation_complex_schemas(self, temp_dir):
        """Test validation with complex schemas."""
        complex_schema = {
            "type": "object",
            "properties": {
                "name": {"type": "string", "minLength": 1, "maxLength": 100},
                "age": {"type": "integer", "minimum": 0, "maximum": 150},
                "email": {"type": "string", "format": "email"},
                "tags": {
                    "type": "array",
                    "items": {"type": "string"},
                    "minItems": 0,
                    "maxItems": 10
                }
            },
            "required": ["name", "age"]
        }
        try:
            validator = XWJSONSchemaValidator(complex_schema)
            # Valid data
            valid_data = {
                "name": "Alice",
                "age": 30,
                "email": "alice@example.com",
                "tags": ["admin", "user"]
            }
            assert validator.validate(valid_data) is True
            # Invalid data (missing required)
            invalid_data = {
                "name": "Bob"
                # Missing age
            }
            assert validator.validate(invalid_data) is False
            # Invalid data (wrong type)
            invalid_data2 = {
                "name": "Charlie",
                "age": "thirty"  # Should be integer
            }
            assert validator.validate(invalid_data2) is False
        except ImportError:
            pytest.skip("Schema validation libraries not available")

    def test_schema_validation_array_schemas(self, temp_dir):
        """Test validation with array schemas."""
        array_schema = {
            "type": "array",
            "items": {
                "type": "object",
                "properties": {
                    "id": {"type": "integer"},
                    "name": {"type": "string"}
                },
                "required": ["id", "name"]
            },
            "minItems": 1,
            "maxItems": 100
        }
        try:
            validator = XWJSONSchemaValidator(array_schema)
            # Valid array
            valid_data = [
                {"id": 1, "name": "Alice"},
                {"id": 2, "name": "Bob"}
            ]
            assert validator.validate(valid_data) is True
            # Invalid array (missing required field)
            invalid_data = [
                {"id": 1}  # Missing name
            ]
            assert validator.validate(invalid_data) is False
        except ImportError:
            pytest.skip("Schema validation libraries not available")
@pytest.mark.xwjson_integration
@pytest.mark.xwjson_serialization

class TestAdditionalSerializer:
    """Additional serializer scenarios."""

    def test_serializer_all_options_combinations(self):
        """Test serializer with all option combinations."""
        serializer = XWJSONSerializer()
        data = {"test": "data"}
        # Test all format codes
        for format_code in [0x00, 0x01, 0x02, 0x03]:
            encoded = serializer.encode(
                data,
                options={
                    'format_code': format_code,
                    'metadata': {'source': 'test'},
                    'flags': 0x01
                }
            )
            result = serializer.decode(encoded, options={'return_metadata': True})
            assert result['data'] == data

    def test_serializer_streaming_simulation(self, temp_dir):
        """Test serializer with streaming-like operations."""
        serializer = XWJSONSerializer()
        # Simulate streaming by encoding chunks
        chunks = []
        for i in range(10):
            chunk_data = {"chunk": i, "data": f"chunk_{i}"}
            encoded = serializer.encode(chunk_data)
            chunks.append(encoded)
        # Decode chunks
        decoded_chunks = []
        for chunk in chunks:
            decoded = serializer.decode(chunk)
            decoded_chunks.append(decoded)
        # Verify
        assert len(decoded_chunks) == 10
        assert decoded_chunks[0]["chunk"] == 0
        assert decoded_chunks[9]["chunk"] == 9
    @pytest.mark.asyncio

    async def test_serializer_concurrent_operations(self):
        """Test serializer with concurrent operations."""
        import asyncio
        serializer = XWJSONSerializer()
        data = {"test": "data"}
        async def encode_decode():
            encoded = serializer.encode(data)
            decoded = serializer.decode(encoded)
            return decoded == data
        # Run 100 concurrent operations
        results = await asyncio.gather(*[encode_decode() for _ in range(100)])
        # All should succeed
        assert all(results)
@pytest.mark.xwjson_integration
@pytest.mark.xwjson_serialization

class TestAdditionalStressScenarios:
    """Additional stress test scenarios."""
    @pytest.fixture

    def serializer(self):
        """Create serializer instance."""
        return XWJSONSerializer()

    def test_stress_repeated_encoding_decoding(self, serializer):
        """Test stress with repeated encoding/decoding."""
        data = {
            "items": [
                {"id": i, "data": f"item_{i}"}
                for i in range(1000)
            ]
        }
        # Encode/decode 100 times
        for _ in range(100):
            encoded = serializer.encode(data)
            decoded = serializer.decode(encoded)
            assert decoded == data

    def test_stress_varying_data_sizes(self, serializer):
        """Test stress with varying data sizes."""
        sizes = [100, 500, 1000, 5000, 10000]
        for size in sizes:
            data = {
                "items": [
                    {"id": i, "data": f"item_{i}"}
                    for i in range(size)
                ]
            }
            encoded = serializer.encode(data)
            decoded = serializer.decode(encoded)
            assert decoded == data
            assert len(decoded["items"]) == size
    @pytest.mark.asyncio

    async def test_stress_concurrent_file_operations(self, serializer, temp_dir):
        """Test stress with concurrent file operations."""
        file_paths = [temp_dir / f"test_{i}.xwjson" for i in range(10)]
        data = {"test": "data"}
        # Write concurrently
        async def write_file(path):
            await serializer.save_file_async(data, path)
            return path.exists()
        results = await asyncio.gather(*[write_file(path) for path in file_paths])
        assert all(results)
        # Read concurrently
        async def read_file(path):
            return await serializer.load_file_async(path)
        results = await asyncio.gather(*[read_file(path) for path in file_paths])
        assert all(r == data for r in results)
