#!/usr/bin/env python3
"""
#exonware/xwdata/tests/1.unit/conversion_tests/test_edge_cases.py
Edge case tests for format conversion (error handling, empty data, large data).
Company: eXonware.com
Author: eXonware Backend Team
Email: connect@exonware.com
Version: 0.1.0.1
Generation Date: 26-Jan-2025
"""

import pytest
from pathlib import Path
@pytest.mark.xwdata_unit

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

    def converter(self):
        """Create FormatConverter instance."""
        from exonware.xwdata.operations.format_conversion import FormatConverter
        return FormatConverter()
    @pytest.mark.asyncio

    async def test_convert_empty_dict(self, converter):
        """Test converting empty dictionary."""
        # Convert empty dict - xwjson returns native data, not serialized
        empty_data = {}
        result = await converter.convert(empty_data, 'json', 'yaml')
        # Result could be native dict or serialized string depending on implementation
        assert result is not None
        if isinstance(result, dict):
            assert result == {}
        else:
            assert isinstance(result, str)
    @pytest.mark.asyncio

    async def test_convert_empty_list(self, converter):
        """Test converting empty list."""
        # Convert empty list - xwjson returns native data
        empty_data = []
        result = await converter.convert(empty_data, 'json', 'yaml')
        # Result could be native list or serialized string
        assert result is not None
        if isinstance(result, list):
            assert result == []
        else:
            assert isinstance(result, str)
    @pytest.mark.asyncio

    async def test_convert_none_value(self, converter):
        """Test converting data with None values."""
        data = {'key': None, 'value': 'test'}
        result = await converter.convert(data, 'json', 'yaml')
        # Result could be native dict or serialized string
        assert result is not None
        if isinstance(result, dict):
            assert 'key' in result and 'value' in result
        else:
            assert isinstance(result, str)
            assert 'key' in result.lower() or 'value' in result.lower()
    @pytest.mark.asyncio

    async def test_convert_invalid_format_error(self, converter):
        """Test error handling for invalid format."""
        data = {'test': 'data'}
        # xwjson might handle invalid formats gracefully or raise error
        # Test that it doesn't crash
        try:
            result = await converter.convert(data, 'invalid_format_xyz', 'json')
            # If it doesn't raise, result should be None or data unchanged
            assert result is not None or result == data
        except Exception as e:
            # If it raises, should be a meaningful error
            assert 'format' in str(e).lower() or 'invalid' in str(e).lower()
    @pytest.mark.asyncio

    async def test_convert_file_not_found_error(self, converter, tmp_path):
        """Test error handling for file not found."""
        non_existent_file = tmp_path / 'nonexistent.json'
        with pytest.raises(Exception):  # Should raise XWDataError or FileNotFoundError
            await converter.convert_file(non_existent_file, tmp_path / 'output.yaml')
    @pytest.mark.asyncio

    async def test_convert_large_data(self, converter):
        """Test converting large dataset."""
        # Create large data structure
        large_data = {
            'items': [{'id': i, 'name': f'Item {i}', 'data': 'x' * 100} for i in range(1000)]
        }
        result = await converter.convert(large_data, 'json', 'yaml')
        # Result could be native dict or serialized string
        assert result is not None
        if isinstance(result, dict):
            assert 'items' in result
            assert len(result['items']) == 1000
        else:
            assert isinstance(result, str)
            assert len(result) > 0
            assert 'items' in result.lower() or 'Item' in result
    @pytest.mark.asyncio

    async def test_convert_nested_structure(self, converter):
        """Test converting deeply nested structure."""
        nested_data = {
            'level1': {
                'level2': {
                    'level3': {
                        'level4': {
                            'value': 'deep'
                        }
                    }
                }
            }
        }
        result = await converter.convert(nested_data, 'json', 'yaml')
        # Result could be native dict or serialized string
        assert result is not None
        if isinstance(result, dict):
            assert 'level1' in result
            assert result['level1']['level2']['level3']['level4']['value'] == 'deep'
        else:
            assert isinstance(result, str)
            assert 'level' in result.lower() or 'value' in result.lower()
    @pytest.mark.asyncio

    async def test_convert_special_characters(self, converter):
        """Test converting data with special characters."""
        special_data = {
            'unicode': '测试 🚀 émojis',
            'newlines': 'line1\nline2\nline3',
            'quotes': 'text with "quotes" and \'apostrophes\'',
            'special': '!@#$%^&*()_+-=[]{}|;:,.<>?'
        }
        result = await converter.convert(special_data, 'json', 'yaml')
        # Result could be native dict or serialized string
        assert result is not None
        if isinstance(result, dict):
            assert 'unicode' in result
        else:
            assert isinstance(result, str)
            assert len(result) > 0
    @pytest.mark.asyncio

    async def test_convert_binary_data(self, converter):
        """Test converting binary-like data (base64 encoded)."""
        binary_data = {
            'binary': 'SGVsbG8gV29ybGQ=',  # Base64 encoded "Hello World"
            'hex': '48656c6c6f20576f726c64'  # Hex encoded
        }
        result = await converter.convert(binary_data, 'json', 'yaml')
        # Result could be native dict or serialized string
        assert result is not None
        if isinstance(result, dict):
            assert 'binary' in result and 'hex' in result
        else:
            assert isinstance(result, str)
            assert 'binary' in result.lower() or 'hex' in result.lower()
