#!/usr/bin/env python3
"""
Issue #59 Prevention Demonstration

This example shows how the Requirements Engineering Agent would have prevented
the interface compatibility issues and mock object mismatches encountered
during Issue #59 development.
"""

import sys
from pathlib import Path
from unittest.mock import Mock
from datetime import datetime, timezone

# Add project root to path for imports
project_root = Path(__file__).parent.parent
sys.path.insert(0, str(project_root))

from domain.issues.models import Issue, IssueState, Label
from tools.requirements_engineering_toolkit import RequirementsEngineeringAgent


def demonstrate_issue_59_problems():
    """Demonstrate the actual problems encountered in Issue #59."""
    print("🚨 DEMONSTRATING ISSUE #59 PROBLEMS")
    print("=" * 50)

    print("\n❌ PROBLEM 1: Mock object didn't match domain model")
    print("-" * 50)

    # This is what was done in the original tests (WRONG)
    mock_issue_wrong = Mock()
    mock_issue_wrong.number = 59
    mock_issue_wrong.title = "Test Issue"
    mock_issue_wrong.state = "open"  # ❌ String instead of enum!
    mock_issue_wrong.labels = []

    print(f"Mock state type: {type(mock_issue_wrong.state)} (should be IssueState enum)")
    print(f"Mock state value: {mock_issue_wrong.state}")

    # The real domain model uses enums
    real_issue = Issue(
        number=59,
        title="Test Issue",
        state=IssueState.OPEN,  # ✅ Actual enum
        labels=[],
        created_at=datetime.now(timezone.utc),
        updated_at=datetime.now(timezone.utc)
    )

    print(f"Real state type: {type(real_issue.state)}")
    print(f"Real state value: {real_issue.state}")

    print("\n❌ PROBLEM 2: Missing required attributes")
    print("-" * 50)

    # Original mock was missing critical attributes
    print("Mock attributes:", [attr for attr in dir(mock_issue_wrong) if not attr.startswith('_')])
    print("Real attributes:", [attr for attr in dir(real_issue) if not attr.startswith('_')])

    missing_attrs = set(dir(real_issue)) - set(dir(mock_issue_wrong))
    print(f"Missing attributes in mock: {[attr for attr in missing_attrs if not attr.startswith('_')]}")


def demonstrate_requirements_engineering_solution():
    """Demonstrate how the Requirements Engineering Agent would prevent these problems."""
    print("\n\n✅ REQUIREMENTS ENGINEERING AGENT SOLUTION")
    print("=" * 50)

    agent = RequirementsEngineeringAgent(project_root)

    print("\n🔍 STEP 1: Foundation Analysis")
    print("-" * 30)

    # Analyze existing domain models first
    foundation_analysis = agent.analyze_project_foundations()
    print(f"Found {foundation_analysis['foundation_analysis']['summary']['total_domain_models']} domain models")

    # Show Issue model details
    if 'Issue' in foundation_analysis['foundation_analysis']['domain_models']:
        issue_model = foundation_analysis['foundation_analysis']['domain_models']['Issue']
        print(f"Issue model attributes: {list(issue_model.attributes.keys())}")
        print(f"Issue model methods: {issue_model.methods}")

    print("\n📋 STEP 2: Generate Development Checklist")
    print("-" * 30)

    checklist = agent.generate_development_checklist("Issue Management CLI", {
        "requires_issue_model": True,
        "creates_new_interface": True
    })

    for phase in checklist:
        print(f"\n{phase['phase']}:")
        for task in phase['tasks']:
            print(f"  • {task}")

    print("\n🧪 STEP 3: Correct Mock Creation")
    print("-" * 30)

    # This is how mocks should be created with the agent's guidance
    mock_issue_correct = Mock(spec=Issue)  # ✅ Use spec= parameter
    mock_issue_correct.number = 59
    mock_issue_correct.title = "Test Issue"
    mock_issue_correct.state = IssueState.OPEN  # ✅ Use actual enum
    mock_issue_correct.labels = []
    mock_issue_correct.created_at = datetime.now(timezone.utc)  # ✅ Include all required attributes
    mock_issue_correct.updated_at = datetime.now(timezone.utc)

    print("✅ Correctly created mock with spec=Issue")
    print(f"✅ State is proper enum: {type(mock_issue_correct.state)}")
    print(f"✅ All required attributes included")

    # Validate the mock
    validation_result = agent.mock_validator.validate_mock_against_model(mock_issue_correct, "Issue")
    if validation_result.is_valid:
        print("✅ Mock validation passed!")
    else:
        print(f"❌ Mock validation failed: {validation_result.errors}")


def demonstrate_interface_compatibility_checking():
    """Demonstrate interface compatibility checking."""
    print("\n\n🔌 INTERFACE COMPATIBILITY DEMONSTRATION")
    print("=" * 50)

    agent = RequirementsEngineeringAgent(project_root)

    print("\n📊 Interface Analysis")
    print("-" * 20)

    # This would check if new plugin interface is compatible with existing repository
    # In the actual Issue #59, this would have caught the mismatch between
    # what the tests expected and what the actual GiteaIssueRepository provided

    print("✅ Would verify that IssueBackend interface matches GiteaIssueRepository methods")
    print("✅ Would catch async/sync mismatch (repository is async, plugin interface is sync)")
    print("✅ Would identify missing adapter layer needed")

    # Example compatibility check result
    compatibility_result = {
        "compatible": False,
        "issues": [
            "GiteaIssueRepository.get_issues() is async, but IssueBackend.list_issues() is sync",
            "Parameter mismatch: repository uses issue_number (int), interface uses issue_id (str)",
            "Repository returns additional attributes not defined in interface"
        ],
        "recommendations": [
            "Add async adapter layer",
            "Standardize parameter types",
            "Extend interface to include all repository attributes"
        ]
    }

    print("\nCompatibility check would have found:")
    for issue in compatibility_result["issues"]:
        print(f"  ❌ {issue}")

    print("\nRecommendations:")
    for rec in compatibility_result["recommendations"]:
        print(f"  💡 {rec}")


def demonstrate_correct_development_workflow():
    """Demonstrate the correct development workflow using the agent."""
    print("\n\n🎯 CORRECT DEVELOPMENT WORKFLOW")
    print("=" * 50)

    print("\n📋 Phase 1: Foundation Analysis")
    print("-" * 30)
    print("✅ Analyze existing Issue domain model")
    print("✅ Map GiteaIssueRepository interface")
    print("✅ Understand async/sync requirements")
    print("✅ Document existing infrastructure patterns")

    print("\n📋 Phase 2: Interface Contract Definition")
    print("-" * 30)
    print("✅ Define IssueBackend abstract base class")
    print("✅ Plan async adapter pattern")
    print("✅ Ensure compatibility with existing infrastructure")
    print("✅ Document interface contracts")

    print("\n📋 Phase 3: Test Architecture Design")
    print("-" * 30)
    print("✅ Create mocks with Mock(spec=Issue)")
    print("✅ Use actual enums and types")
    print("✅ Include all required attributes")
    print("✅ Plan integration test strategy")

    print("\n📋 Phase 4: Implementation")
    print("-" * 30)
    print("✅ Implement IssueBackend base class")
    print("✅ Create GiteaPlugin with async adapter")
    print("✅ Add CLI commands using plugin manager")
    print("✅ Maintain backward compatibility")

    print("\n📋 Phase 5: Validation")
    print("-" * 30)
    print("✅ Validate all mocks match real objects")
    print("✅ Test interface compatibility")
    print("✅ Run integration tests")
    print("✅ Verify end-to-end workflows")


def create_agent_usage_example():
    """Show actual agent usage commands."""
    print("\n\n🛠️ AGENT USAGE COMMANDS")
    print("=" * 50)

    print("\n# Before starting Issue #59 development:")
    print("python tools/requirements_engineering_toolkit.py analyze")
    print("")
    print("# Plan new interface evolution:")
    print("python tools/requirements_engineering_toolkit.py plan-interface --interface IssueBackend")
    print("")
    print("# Generate development checklist:")
    print("python tools/requirements_engineering_toolkit.py checklist --feature 'Issue Management CLI'")
    print("")
    print("# Validate test mocks:")
    print("python tools/requirements_engineering_toolkit.py validate-mocks --test-file tests/test_issue_59_cli_interface.py")

    print("\n📝 Integration with existing workflow:")
    print("# Add to Makefile:")
    print("validate-requirements:")
    print("\tpython tools/requirements_engineering_toolkit.py analyze")
    print("")
    print("tdd-start: validate-requirements")
    print("\t# Existing TDD start process")


def main():
    """Run the complete demonstration."""
    print("ISSUE #59 PREVENTION DEMONSTRATION")
    print("Requirements Engineering Agent")
    print("=" * 60)

    try:
        demonstrate_issue_59_problems()
        demonstrate_requirements_engineering_solution()
        demonstrate_interface_compatibility_checking()
        demonstrate_correct_development_workflow()
        create_agent_usage_example()

        print("\n\n🎉 SUMMARY")
        print("=" * 20)
        print("The Requirements Engineering Agent would have prevented Issue #59 problems by:")
        print("1. ✅ Analyzing existing domain models before writing tests")
        print("2. ✅ Ensuring mocks match actual object interfaces")
        print("3. ✅ Catching enum vs string type mismatches")
        print("4. ✅ Identifying missing async adapter layer")
        print("5. ✅ Planning interface evolution with backward compatibility")
        print("6. ✅ Providing clear development workflow guidance")

    except Exception as e:
        print(f"Error in demonstration: {e}")
        print("Note: This demo requires the full project structure to run completely.")
        print("The concepts and workflow are demonstrated above.")


if __name__ == "__main__":
    main()