#exonware/xwjson/tests/2.integration/scenarios/test_stress_format_conversion.py
"""
Comprehensive Format Conversion Stress Tests
Company: eXonware.com
Author: eXonware Backend Team
Email: connect@exonware.com
Version: 0.0.1.0
Generation Date: 2025-01-XX
Tests all format conversions via XWJSON intermediate format:
- JSON ↔ YAML ↔ XML ↔ TOML (all combinations)
- Round-trip conversions (A → XWJSON → B → XWJSON → A)
- Large/complex data structures
- Edge cases and boundary conditions
- Metadata preservation
"""

import pytest
import json
from exonware.xwjson.formats.binary.xwjson.converter import XWJSONConverter
from exonware.xwsystem.io.errors import SerializationError
@pytest.mark.xwjson_integration
@pytest.mark.xwjson_serialization
@pytest.mark.asyncio

class TestFormatConversionStress:
    """Stress tests for format conversion via XWJSON."""
    @pytest.fixture

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

    def complex_data(self):
        """Complex nested data structure for testing."""
        return {
            "users": [
                {
                    "id": 1,
                    "name": "Alice",
                    "age": 30,
                    "email": "alice@example.com",
                    "metadata": {
                        "created": "2025-01-01",
                        "tags": ["admin", "developer"],
                        "preferences": {
                            "theme": "dark",
                            "notifications": True
                        }
                    }
                },
                {
                    "id": 2,
                    "name": "Bob",
                    "age": 25,
                    "email": "bob@example.com",
                    "metadata": {
                        "created": "2025-01-02",
                        "tags": ["user"],
                        "preferences": {
                            "theme": "light",
                            "notifications": False
                        }
                    }
                }
            ],
            "settings": {
                "version": "1.0.0",
                "features": {
                    "feature1": True,
                    "feature2": False,
                    "feature3": {
                        "enabled": True,
                        "options": ["opt1", "opt2", "opt3"]
                    }
                }
            },
            "empty_dict": {},
            "empty_list": [],
            "null_value": None,
            "boolean_true": True,
            "boolean_false": False,
            "numbers": {
                "integer": 42,
                "float": 3.14159,
                "negative": -10,
                "zero": 0
            }
        }
    @pytest.fixture

    def large_data(self):
        """Large data structure for stress testing."""
        return {
            "items": [
                {
                    "id": i,
                    "name": f"Item {i}",
                    "description": f"Description for item {i}",
                    "tags": [f"tag{j}" for j in range(10)],
                    "metadata": {
                        "created": f"2025-01-{(i % 28) + 1:02d}",
                        "updated": f"2025-01-{(i % 28) + 1:02d}",
                        "score": i * 0.1
                    }
                }
                for i in range(1000)
            ]
        }
    # JSON ↔ JSON round-trip tests
    @pytest.mark.asyncio

    async def test_json_to_json_round_trip(self, converter, complex_data, temp_dir):
        """Test JSON to JSON conversion preserves data."""
        result = await converter.convert(
            complex_data,
            source_format="json",
            target_format="json"
        )
        assert result == complex_data
    @pytest.mark.asyncio

    async def test_json_to_json_large_data(self, converter, large_data, temp_dir):
        """Test JSON to JSON with large data."""
        result = await converter.convert(
            large_data,
            source_format="json",
            target_format="json"
        )
        assert result == large_data
        assert len(result["items"]) == 1000
    # JSON ↔ YAML conversion tests
    @pytest.mark.asyncio

    async def test_json_to_yaml_round_trip(self, converter, complex_data, temp_dir):
        """Test JSON to YAML and back preserves data."""
        # JSON → YAML
        yaml_data = await converter.convert(
            complex_data,
            source_format="json",
            target_format="yaml"
        )
        # YAML → JSON (round-trip)
        result = await converter.convert(
            yaml_data,
            source_format="yaml",
            target_format="json"
        )
        assert result == complex_data
    @pytest.mark.asyncio

    async def test_yaml_to_json_round_trip(self, converter, complex_data, temp_dir):
        """Test YAML to JSON and back preserves data."""
        # YAML → JSON
        json_data = await converter.convert(
            complex_data,
            source_format="yaml",
            target_format="json"
        )
        # JSON → YAML (round-trip)
        result = await converter.convert(
            json_data,
            source_format="json",
            target_format="yaml"
        )
        assert result == complex_data
    # JSON ↔ XML conversion tests
    @pytest.mark.asyncio

    async def test_json_to_xml_basic(self, converter, temp_dir):
        """Test JSON to XML conversion."""
        data = {
            "root": {
                "element1": "value1",
                "element2": "value2"
            }
        }
        try:
            xml_data = await converter.convert(
                data,
                source_format="json",
                target_format="xml"
            )
            # Convert back to JSON
            result = await converter.convert(
                xml_data,
                source_format="xml",
                target_format="json"
            )
            # Verify structure is preserved
            assert isinstance(result, dict)
        except (ImportError, SerializationError) as e:
            pytest.skip(f"XML conversion not available: {e}")
    # JSON ↔ TOML conversion tests
    @pytest.mark.asyncio

    async def test_json_to_toml_round_trip(self, converter, complex_data, temp_dir):
        """Test JSON to TOML and back preserves data."""
        try:
            # JSON → TOML
            toml_data = await converter.convert(
                complex_data,
                source_format="json",
                target_format="toml"
            )
            # TOML → JSON (round-trip)
            result = await converter.convert(
                toml_data,
                source_format="toml",
                target_format="json"
            )
            assert result == complex_data
        except (ImportError, SerializationError) as e:
            pytest.skip(f"TOML conversion not available: {e}")
    # Multi-hop conversion tests (A → B → C → A)
    @pytest.mark.asyncio

    async def test_multi_hop_conversion_json_yaml_json(self, converter, complex_data, temp_dir):
        """Test multi-hop conversion: JSON → YAML → JSON."""
        # JSON → YAML
        yaml_data = await converter.convert(
            complex_data,
            source_format="json",
            target_format="yaml"
        )
        # YAML → JSON
        result = await converter.convert(
            yaml_data,
            source_format="yaml",
            target_format="json"
        )
        assert result == complex_data
    @pytest.mark.asyncio

    async def test_multi_hop_conversion_json_toml_yaml_json(self, converter, complex_data, temp_dir):
        """Test multi-hop conversion: JSON → TOML → YAML → JSON."""
        try:
            # JSON → TOML
            toml_data = await converter.convert(
                complex_data,
                source_format="json",
                target_format="toml"
            )
            # TOML → YAML
            yaml_data = await converter.convert(
                toml_data,
                source_format="toml",
                target_format="yaml"
            )
            # YAML → JSON
            result = await converter.convert(
                yaml_data,
                source_format="yaml",
                target_format="json"
            )
            assert result == complex_data
        except (ImportError, SerializationError) as e:
            pytest.skip(f"Multi-format conversion not available: {e}")
    # Edge case tests
    @pytest.mark.asyncio

    async def test_conversion_empty_dict(self, converter, temp_dir):
        """Test conversion of empty dictionary."""
        data = {}
        result = await converter.convert(
            data,
            source_format="json",
            target_format="json"
        )
        assert result == data
    @pytest.mark.asyncio

    async def test_conversion_empty_list(self, converter, temp_dir):
        """Test conversion of empty list."""
        data = []
        result = await converter.convert(
            data,
            source_format="json",
            target_format="json"
        )
        assert result == data
    @pytest.mark.asyncio

    async def test_conversion_none_value(self, converter, temp_dir):
        """Test conversion of None value."""
        data = {"key": None}
        result = await converter.convert(
            data,
            source_format="json",
            target_format="json"
        )
        assert result == data
        assert result["key"] is None
    @pytest.mark.asyncio

    async def test_conversion_deeply_nested(self, converter, temp_dir):
        """Test conversion of deeply nested structure."""
        data = {}
        current = data
        for i in range(20):
            current[f"level_{i}"] = {}
            current = current[f"level_{i}"]
        current["value"] = "deep"
        result = await converter.convert(
            data,
            source_format="json",
            target_format="json"
        )
        assert result == data
    @pytest.mark.asyncio

    async def test_conversion_large_arrays(self, converter, temp_dir):
        """Test conversion of large arrays."""
        data = {
            "items": list(range(10000)),
            "names": [f"item_{i}" for i in range(10000)]
        }
        result = await converter.convert(
            data,
            source_format="json",
            target_format="json"
        )
        assert result == data
        assert len(result["items"]) == 10000
        assert len(result["names"]) == 10000
    @pytest.mark.asyncio

    async def test_conversion_special_characters(self, converter, temp_dir):
        """Test conversion with special characters."""
        data = {
            "special_chars": "!@#$%^&*()_+-=[]{}|;':\",./<>?`~",
            "unicode": "Hello 世界 🌍 こんにちは مرحبا",
            "newlines": "Line 1\nLine 2\nLine 3",
            "tabs": "Tab\tTab\tTab",
            "quotes": 'Single "double" quotes'
        }
        result = await converter.convert(
            data,
            source_format="json",
            target_format="json"
        )
        assert result == data
    @pytest.mark.asyncio

    async def test_conversion_with_metadata(self, converter, temp_dir):
        """Test conversion preserves metadata through XWJSON."""
        data = {
            "user": {
                "$ref": "#/definitions/User"
            },
            "data": "value"
        }
        # Metadata should be preserved through XWJSON intermediate format
        result = await converter.convert(
            data,
            source_format="json",
            target_format="json"
        )
        assert isinstance(result, dict)
        # $ref should be preserved
        assert "$ref" in result.get("user", {}) or "user" in result
@pytest.mark.xwjson_integration
@pytest.mark.xwjson_serialization
@pytest.mark.asyncio

class TestFormatConversionEdgeCases:
    """Edge case tests for format conversion."""
    @pytest.fixture

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

    async def test_conversion_numeric_edge_cases(self, converter, temp_dir):
        """Test conversion with numeric edge cases."""
        data = {
            "zero": 0,
            "negative_zero": -0,
            "max_int": 2147483647,
            "min_int": -2147483648,
            "large_float": 3.141592653589793,
            "small_float": 0.0000000001,
            "scientific": 1e10,
            "negative_scientific": -1e-10
        }
        result = await converter.convert(
            data,
            source_format="json",
            target_format="json"
        )
        assert result == data
    @pytest.mark.asyncio

    async def test_conversion_boolean_edge_cases(self, converter, temp_dir):
        """Test conversion with boolean edge cases."""
        data = {
            "true": True,
            "false": False,
            "mixed": [True, False, True, False],
            "nested": {
                "level1": {
                    "level2": {
                        "bool": True
                    }
                }
            }
        }
        result = await converter.convert(
            data,
            source_format="json",
            target_format="json"
        )
        assert result == data
    @pytest.mark.asyncio

    async def test_conversion_mixed_types_in_list(self, converter, temp_dir):
        """Test conversion with mixed types in list."""
        data = {
            "mixed_list": [
                1,
                "string",
                3.14,
                True,
                None,
                {"nested": "dict"},
                [1, 2, 3]
            ]
        }
        result = await converter.convert(
            data,
            source_format="json",
            target_format="json"
        )
        assert result == data
        assert len(result["mixed_list"]) == 7
    @pytest.mark.asyncio

    async def test_conversion_duplicate_keys_preserved(self, converter, temp_dir):
        """Test that duplicate keys are handled correctly."""
        # Note: JSON standard doesn't allow duplicate keys, but test structure
        data = {
            "key1": "value1",
            "key2": "value2"
        }
        result = await converter.convert(
            data,
            source_format="json",
            target_format="json"
        )
        assert result == data
    @pytest.mark.asyncio

    async def test_conversion_very_long_strings(self, converter, temp_dir):
        """Test conversion with very long strings."""
        long_string = "A" * 100000  # 100KB string
        data = {
            "long_string": long_string,
            "multiple_long_strings": [long_string] * 10
        }
        result = await converter.convert(
            data,
            source_format="json",
            target_format="json"
        )
        assert result == data
        assert len(result["long_string"]) == 100000
    @pytest.mark.asyncio

    async def test_conversion_concurrent_conversions(self, converter, temp_dir):
        """Test concurrent format conversions."""
        import asyncio
        data1 = {"test1": "value1"}
        data2 = {"test2": "value2"}
        data3 = {"test3": "value3"}
        # Run multiple conversions concurrently
        results = await asyncio.gather(
            converter.convert(data1, "json", "json"),
            converter.convert(data2, "json", "json"),
            converter.convert(data3, "json", "json")
        )
        assert results[0] == data1
        assert results[1] == data2
        assert results[2] == data3
    @pytest.mark.asyncio

    async def test_conversion_file_path_operations(self, converter, temp_dir):
        """Test conversion with file path operations."""
        source_file = temp_dir / "source.json"
        target_file = temp_dir / "target.json"
        data = {"test": "data"}
        # Write source file
        with open(source_file, 'w', encoding='utf-8') as f:
            json.dump(data, f)
        # Convert with file paths
        try:
            result = await converter.convert(
                data,
                source_format="json",
                target_format="json",
                source_path=source_file,
                target_path=target_file
            )
            assert result == data
            assert target_file.exists()
        except Exception as e:
            pytest.skip(f"File path operations not fully supported: {e}")
