"""
Test script for output validation with Pydantic.

Tests:
1. Valid JSON parsing
2. Malformed JSON handling
3. Non-JSON string handling
4. Dict input validation
5. Workflow output validation
6. JSON repair strategies
"""

import sys
import json
from core.validation import (
    ToolOutput,
    WorkflowOutput,
    validate_tool_output,
    validate_workflow_output,
    repair_json_output,
    ensure_tool_output_schema
)


def test_valid_json():
    """Test valid JSON parsing"""
    print("\n=== Test 1: Valid JSON ===")

    valid_json = json.dumps({
        "success": True,
        "result": {"data": "test"},
        "metadata": {"key": "value"}
    })

    validated = validate_tool_output(valid_json)
    print(f"Success: {validated.success}")
    print(f"Result: {validated.result}")
    print(f"Metadata: {validated.metadata}")

    assert validated.success is True
    assert validated.result == {"data": "test"}
    print("✓ Valid JSON test passed")


def test_malformed_json():
    """Test malformed JSON handling"""
    print("\n=== Test 2: Malformed JSON ===")

    malformed_cases = [
        '{"success": true, "result": "missing closing brace"',
        '{"success": true, "result": undefined}',
        '{success: true}',  # Missing quotes
        'not json at all',
    ]

    for i, case in enumerate(malformed_cases, 1):
        print(f"\nCase {i}: {case[:50]}...")
        validated = validate_tool_output(case)
        print(f"Success: {validated.success}")
        print(f"Error: {validated.error}")

        # Should wrap in error format
        assert validated.success is False or isinstance(validated.result, str)
        print(f"✓ Case {i} handled correctly")


def test_dict_input():
    """Test dict input validation"""
    print("\n=== Test 3: Dict Input ===")

    valid_dict = {
        "success": True,
        "result": [1, 2, 3],
        "metadata": {"source": "test"}
    }

    validated = validate_tool_output(valid_dict)
    print(f"Success: {validated.success}")
    print(f"Result: {validated.result}")

    assert validated.success is True
    assert validated.result == [1, 2, 3]
    print("✓ Dict input test passed")


def test_invalid_schema():
    """Test invalid schema handling"""
    print("\n=== Test 4: Invalid Schema ===")

    # Missing required 'success' field
    invalid_dict = {
        "result": "data",
        "metadata": {}
    }

    validated = validate_tool_output(invalid_dict)
    print(f"Success: {validated.success}")
    print(f"Error: {validated.error}")
    print(f"Error type: {validated.error_type}")

    # Should wrap in error format
    assert validated.success is False
    assert validated.error_type == "ValidationError"
    print("✓ Invalid schema test passed")


def test_primitive_types():
    """Test primitive type handling"""
    print("\n=== Test 5: Primitive Types ===")

    test_cases = [
        42,
        "plain string",
        True,
        None,
        [1, 2, 3],
    ]

    for i, case in enumerate(test_cases, 1):
        print(f"\nCase {i}: {case} ({type(case).__name__})")
        validated = validate_tool_output(case)
        print(f"Success: {validated.success}")
        print(f"Result: {validated.result}")

        # Should wrap as result
        assert validated.success is True
        assert validated.result == case
        print(f"✓ Case {i} handled correctly")


def test_workflow_output():
    """Test workflow output validation"""
    print("\n=== Test 6: Workflow Output ===")

    valid_workflow = {
        "success": True,
        "result": "final result",
        "execution_time": 1.5,
        "trace": [{"task": "t1", "status": "completed"}],
        "all_results": {"t1": "data"}
    }

    validated = validate_workflow_output(valid_workflow)
    print(f"Success: {validated.success}")
    print(f"Result: {validated.result}")
    print(f"Execution time: {validated.execution_time}")
    print(f"Trace: {validated.trace}")

    assert validated.success is True
    assert validated.execution_time == 1.5
    print("✓ Workflow output test passed")


def test_workflow_output_invalid():
    """Test invalid workflow output"""
    print("\n=== Test 7: Invalid Workflow Output ===")

    # Invalid workflow (missing success field)
    invalid_workflow = {
        "result": "data"
    }

    validated = validate_workflow_output(invalid_workflow)
    print(f"Success: {validated.success}")
    print(f"Error: {validated.error}")

    assert validated.success is False
    print("✓ Invalid workflow output test passed")


def test_json_repair():
    """Test JSON repair strategies"""
    print("\n=== Test 8: JSON Repair ===")

    test_cases = [
        # Valid JSON
        ('{"success": true, "result": "data"}', True),
        # JSON embedded in text
        ('Some text before {"success": true, "result": "data"} and after', True),
        # Plain text (no JSON)
        ('This is just plain text without any JSON', True),
    ]

    for i, (case, should_work) in enumerate(test_cases, 1):
        print(f"\nCase {i}: {case[:50]}...")
        repaired = repair_json_output(case)
        print(f"Repaired: {repaired}")

        if should_work:
            assert isinstance(repaired, dict)
            assert "success" in repaired or "result" in repaired
            print(f"✓ Case {i} repaired successfully")


def test_decorator():
    """Test ensure_tool_output_schema decorator"""
    print("\n=== Test 9: Decorator ===")

    @ensure_tool_output_schema
    def mock_tool_success():
        return {
            "success": True,
            "result": "test data"
        }

    @ensure_tool_output_schema
    def mock_tool_error():
        raise ValueError("Test error")

    # Test success case
    result = mock_tool_success()
    print(f"Success result: {result[:100]}...")
    parsed = json.loads(result)
    assert parsed["success"] is True

    # Test error case
    error_result = mock_tool_error()
    print(f"Error result: {error_result[:100]}...")
    parsed = json.loads(error_result)
    assert parsed["success"] is False
    assert parsed["error_type"] == "ValueError"

    print("✓ Decorator test passed")


def test_error_output_format():
    """Test error output format matches ToolOutput schema"""
    print("\n=== Test 10: Error Output Format ===")

    error_output = validate_tool_output("malformed json {{{")
    print(f"Success: {error_output.success}")
    print(f"Error: {error_output.error}")
    print(f"Error type: {error_output.error_type}")
    print(f"Recovery hint: {error_output.recovery_hint}")
    print(f"Metadata: {error_output.metadata}")

    # Ensure all error fields are populated
    assert error_output.success is False
    assert error_output.error is not None
    assert error_output.error_type == "ValidationError"
    assert error_output.recovery_hint is not None

    print("✓ Error output format test passed")


def run_all_tests():
    """Run all validation tests"""
    print("=" * 60)
    print("Testing Output Validation with Pydantic")
    print("=" * 60)

    tests = [
        test_valid_json,
        test_malformed_json,
        test_dict_input,
        test_invalid_schema,
        test_primitive_types,
        test_workflow_output,
        test_workflow_output_invalid,
        test_json_repair,
        test_decorator,
        test_error_output_format,
    ]

    passed = 0
    failed = 0

    for test in tests:
        try:
            test()
            passed += 1
        except AssertionError as e:
            print(f"\n✗ {test.__name__} FAILED: {e}")
            failed += 1
        except Exception as e:
            print(f"\n✗ {test.__name__} ERROR: {e}")
            failed += 1

    print("\n" + "=" * 60)
    print(f"Test Results: {passed} passed, {failed} failed")
    print("=" * 60)

    return failed == 0


if __name__ == "__main__":
    success = run_all_tests()
    sys.exit(0 if success else 1)