"""
Tier 1 Unit Tests - Integration Test Infrastructure Validation

These tests validate the infrastructure needed for integration tests without
external dependencies. They test the test framework setup, mocking capabilities,
and error handling patterns that integration tests rely on.
"""

import subprocess
import time
from unittest.mock import Mock, patch

import pytest


class TestIntegrationTestCollection:
    """Unit tests for integration test collection and setup validation."""

    def test_integration_test_collection_success(self):
        """All integration tests must collect and execute without errors."""
        import os

        # Get the project root directory relative to this test file
        test_dir = os.path.dirname(os.path.abspath(__file__))
        project_root = os.path.dirname(os.path.dirname(test_dir))

        # Test collection without errors
        result = subprocess.run(
            ["python", "-m", "pytest", "tests/integration/", "--collect-only"],
            capture_output=True,
            text=True,
            cwd=project_root,
        )

        assert result.returncode == 0, f"Test collection failed: {result.stderr}"

        # Check for critical errors (ignore warnings and deprecation notices)
        error_indicators = [
            "ERRORS",
            "ImportError",
            "ModuleNotFoundError",
            "SyntaxError",
        ]
        has_critical_errors = any(
            indicator in result.stdout for indicator in error_indicators
        )
        assert (
            not has_critical_errors
        ), f"Collection critical errors found: {result.stdout[-1000:]}"  # Last 1000 chars

        # Ensure minimum number of tests collected
        lines = result.stdout.split("\n")
        collected_line = [line for line in lines if "tests collected" in line]
        if collected_line:
            # Extract test count
            import re

            match = re.search(r"(\d+) tests collected", collected_line[0])
            if match:
                test_count = int(match.group(1))
                assert (
                    test_count >= 100
                ), f"Expected at least 100 integration tests, found {test_count}"

    def test_integration_test_infrastructure_validation(self):
        """Integration test infrastructure components must be available."""
        # Test that required modules can be imported
        from kailash.runtime.local import LocalRuntime
        from kailash.workflow.builder import WorkflowBuilder
        from kaizen import Kaizen

        # Test that we can create instances without errors
        kaizen = Kaizen()
        assert kaizen is not None

        workflow = WorkflowBuilder()
        assert workflow is not None

        runtime = LocalRuntime()
        assert runtime is not None

    def test_mock_infrastructure_for_unit_tests(self):
        """Mock infrastructure for unit testing must work correctly."""
        # Test mocking Kaizen framework
        with patch("kaizen.core.framework.Kaizen") as MockKaizen:
            mock_kaizen = MockKaizen.return_value
            mock_kaizen.create_agent.return_value = Mock()
            mock_kaizen.execute.return_value = ({"result": "test"}, "run_123")

            # Verify mocking works
            from kaizen.core.framework import Kaizen

            kaizen = Kaizen()
            agent = kaizen.create_agent("test")
            result, run_id = kaizen.execute(Mock())

            assert agent is not None
            assert result == {"result": "test"}
            assert run_id == "run_123"

    def test_core_sdk_mocking_patterns(self):
        """Core SDK components can be mocked for unit testing."""
        # Test mocking LocalRuntime
        with patch("kailash.runtime.local.LocalRuntime") as MockRuntime:
            mock_runtime = MockRuntime.return_value
            mock_runtime.execute.return_value = ({"success": True}, "test_run")

            from kailash.runtime.local import LocalRuntime

            runtime = LocalRuntime()
            result, run_id = runtime.execute(Mock())

            assert result == {"success": True}
            assert run_id == "test_run"

        # Test mocking WorkflowBuilder
        with patch("kailash.workflow.builder.WorkflowBuilder") as MockBuilder:
            mock_builder = MockBuilder.return_value
            mock_workflow = Mock()
            mock_builder.build.return_value = mock_workflow

            from kailash.workflow.builder import WorkflowBuilder

            builder = WorkflowBuilder()
            workflow = builder.build()

            assert workflow is not None


class TestAgentExecutionPatternValidation:
    """Unit tests for agent execution pattern infrastructure."""

    def test_agent_creation_validation_infrastructure(self):
        """Agent creation validation infrastructure must work."""
        from kaizen import Kaizen

        kaizen = Kaizen()

        # Test valid agent creation
        agent = kaizen.create_agent("test_agent", {"model": "gpt-4"})
        assert agent is not None
        assert hasattr(agent, "id") or hasattr(agent, "agent_id")

        # Test invalid agent creation handling
        with pytest.raises((ValueError, TypeError)):
            kaizen.create_agent("test_agent", None)  # Should handle invalid config

    def test_signature_compilation_infrastructure(self):
        """Signature compilation infrastructure must be testable."""
        from kaizen import Kaizen

        kaizen = Kaizen()

        # Test signature creation
        signature = kaizen.create_signature("question -> answer")
        assert signature is not None
        assert hasattr(signature, "inputs") or hasattr(signature, "define_inputs")

        # Test agent with signature
        agent = kaizen.create_agent(
            "qa_agent", {"model": "gpt-4", "signature": "question -> answer"}
        )
        assert agent is not None

    def test_workflow_compilation_infrastructure(self):
        """Workflow compilation infrastructure must be testable."""
        from kaizen import Kaizen

        kaizen = Kaizen()

        # Test workflow creation
        workflow = kaizen.create_workflow()
        assert workflow is not None
        assert hasattr(workflow, "add_node")
        assert hasattr(workflow, "build")

        # Test agent to workflow compilation - requires signature
        agent = kaizen.create_agent(
            "test", {"model": "gpt-4", "signature": "question -> answer"}
        )
        workflow = agent.compile_to_workflow()
        assert workflow is not None

    def test_multi_agent_coordination_infrastructure(self):
        """Multi-agent coordination infrastructure must be testable."""
        from kaizen import Kaizen

        kaizen = Kaizen()

        # Test multiple agent creation
        agents = []
        for i in range(3):
            agent = kaizen.create_agent(f"agent_{i}", {"model": "gpt-4"})
            agents.append(agent)

        assert len(agents) == 3

        # Test debate workflow creation
        debate_workflow = kaizen.create_debate_workflow(
            agents=agents, topic="Test topic", rounds=2
        )
        assert debate_workflow is not None


class TestEnterpriseFeatureInfrastructure:
    """Unit tests for enterprise feature infrastructure."""

    def test_enterprise_config_infrastructure(self):
        """Enterprise configuration infrastructure must work."""
        from kaizen import Kaizen

        # Test enterprise config creation with dict approach (backward compatibility)
        # Enterprise compliance requires transparency to be enabled
        config_dict = {
            "audit_trail_enabled": True,
            "compliance_mode": "enterprise",
            "security_level": "high",
            "transparency_enabled": True,
        }

        kaizen = Kaizen(config=config_dict)
        assert kaizen is not None
        assert kaizen.config.get("audit_trail_enabled") is True
        assert kaizen.config.get("compliance_mode") == "enterprise"

    def test_audit_trail_infrastructure(self):
        """Audit trail infrastructure must be testable."""
        from kaizen import Kaizen, KaizenConfig

        config = KaizenConfig(audit_trail_enabled=True)
        kaizen = Kaizen(config=config)

        # Test audit trail access
        audit_trail = kaizen.audit_trail.get_current_trail()
        assert isinstance(audit_trail, list)

        # Test audit trail entry
        kaizen.audit_trail.add_entry(
            {"action": "test_action", "details": "test details"}
        )

        updated_trail = kaizen.audit_trail.get_current_trail()
        assert len(updated_trail) >= 1

    def test_enterprise_workflow_infrastructure(self):
        """Enterprise workflow infrastructure must be testable."""
        from kaizen import Kaizen

        # Enterprise compliance requires transparency to be enabled
        config = {
            "audit_trail_enabled": True,
            "compliance_mode": "enterprise",
            "transparency_enabled": True,
        }
        kaizen = Kaizen(config=config)

        # Test enterprise workflow creation
        workflow = kaizen.create_enterprise_workflow(
            "approval", {"approval_levels": ["manager", "director"]}
        )
        assert workflow is not None
        assert hasattr(workflow, "execute") or hasattr(workflow, "build")


class TestPerformanceInfrastructure:
    """Unit tests for performance testing infrastructure."""

    def test_timing_infrastructure(self):
        """Timing measurement infrastructure must work."""
        start_time = time.time()

        # Simulate some work
        from kaizen import Kaizen

        kaizen = Kaizen()
        kaizen.create_agent("perf_test", {"model": "gpt-4"})

        end_time = time.time()
        execution_time = end_time - start_time

        # Should complete in reasonable time for unit test
        assert (
            execution_time < 1.0
        ), f"Performance test infrastructure too slow: {execution_time:.3f}s"

    def test_memory_measurement_infrastructure(self):
        """Memory measurement infrastructure must work."""
        import sys

        # Get baseline memory
        baseline_refs = len(sys.getrefcount.__doc__)  # Simple proxy for memory usage

        # Create framework instance
        from kaizen import Kaizen

        kaizen = Kaizen()

        # Create agents
        agents = []
        for i in range(5):
            agent = kaizen.create_agent(f"mem_test_{i}", {"model": "gpt-4"})
            agents.append(agent)

        # Clean up
        kaizen.cleanup()
        del kaizen
        del agents

        # Memory should be manageable in unit tests
        current_refs = len(sys.getrefcount.__doc__)
        assert current_refs >= baseline_refs  # Basic sanity check

    def test_concurrent_execution_infrastructure(self):
        """Concurrent execution infrastructure must be testable."""
        import concurrent.futures

        from kaizen import Kaizen

        def create_agent_task(i):
            kaizen = Kaizen()
            agent = kaizen.create_agent(f"concurrent_{i}", {"model": "gpt-4"})
            return agent is not None

        # Test concurrent agent creation
        with concurrent.futures.ThreadPoolExecutor(max_workers=3) as executor:
            futures = [executor.submit(create_agent_task, i) for i in range(3)]
            results = [future.result(timeout=5.0) for future in futures]

        assert all(results), f"Concurrent execution failed: {results}"


class TestErrorHandlingInfrastructure:
    """Unit tests for error handling infrastructure."""

    def test_integration_test_error_patterns(self):
        """Error handling patterns for integration tests must work."""
        from kaizen import Kaizen

        kaizen = Kaizen()

        # Test various error conditions
        error_patterns = [
            (TypeError, lambda: kaizen.execute("invalid_workflow")),  # Wrong type
            (ValueError, lambda: kaizen.create_signature("")),  # Empty signature
        ]

        for expected_error, error_func in error_patterns:
            with pytest.raises(expected_error):
                error_func()

        # Test empty agent name - this might not raise error in current implementation
        try:
            kaizen.create_agent("", {})
            # If no error, that's fine - just validate the agent is created
        except ValueError:
            # If it does raise ValueError, that's also acceptable
            pass

    def test_timeout_handling_infrastructure(self):
        """Timeout handling infrastructure must work."""
        import signal

        def timeout_handler(signum, frame):
            raise TimeoutError("Operation timed out")

        # Test timeout mechanism
        signal.signal(signal.SIGALRM, timeout_handler)
        signal.alarm(1)  # 1 second timeout

        try:
            # This should complete quickly
            from kaizen import Kaizen

            kaizen = Kaizen()
            agent = kaizen.create_agent("timeout_test", {"model": "gpt-4"})
            assert agent is not None

            signal.alarm(0)  # Cancel timeout

        except TimeoutError:
            pytest.fail("Operation timed out unexpectedly")

    def test_resource_cleanup_infrastructure(self):
        """Resource cleanup infrastructure must work."""
        from kaizen import Kaizen

        kaizen = Kaizen()

        # Create resources
        agents = []
        for i in range(5):
            agent = kaizen.create_agent(f"cleanup_test_{i}", {"model": "gpt-4"})
            agents.append(agent)

        # Verify resources exist
        assert len(kaizen.list_agents()) == 5

        # Test cleanup
        kaizen.cleanup()

        # Verify cleanup worked
        assert len(kaizen.list_agents()) == 0


class TestIntegrationTestFailureAnalysis:
    """Unit tests for analyzing integration test failure patterns."""

    def test_runtime_attribute_error_analysis(self):
        """Analyze runtime attribute errors in integration tests."""
        from kaizen import Kaizen

        # Test the specific error pattern from integration tests
        kaizen = Kaizen()

        # Before lazy loading, runtime should be None
        assert kaizen._runtime is None

        # After accessing runtime property, it should be available
        runtime = kaizen.runtime
        assert runtime is not None
        assert hasattr(runtime, "execute")

    def test_agent_workflow_compilation_error_analysis(self):
        """Analyze agent workflow compilation errors."""
        from kaizen import Kaizen

        kaizen = Kaizen()

        # Agent needs signature for workflow compilation
        agent = kaizen.create_agent(
            "analysis_test", {"model": "gpt-4", "signature": "question -> answer"}
        )

        # Test workflow compilation
        workflow = agent.compile_to_workflow()
        assert workflow is not None

        # Test workflow building
        built_workflow = workflow.build()
        assert built_workflow is not None

    def test_signature_compilation_error_analysis(self):
        """Analyze signature compilation errors."""
        from kaizen import Kaizen

        kaizen = Kaizen()

        # Test signature creation and validation
        signature = kaizen.create_signature("question -> answer")
        assert signature is not None

        # Test agent creation with signature
        agent = kaizen.create_agent(
            "sig_test", {"model": "gpt-4", "signature": signature}
        )
        assert agent is not None

    def test_multi_agent_coordination_error_analysis(self):
        """Analyze multi-agent coordination errors."""
        from kaizen import Kaizen

        kaizen = Kaizen(config={"multi_agent_enabled": True})

        # Create multiple agents
        agents = [
            kaizen.create_specialized_agent(
                "researcher", "Research information", {"model": "gpt-4"}
            ),
            kaizen.create_specialized_agent(
                "analyst", "Analyze research", {"model": "gpt-4"}
            ),
        ]

        # Test coordination workflow creation
        debate_workflow = kaizen.create_debate_workflow(
            agents=agents, topic="Test coordination topic", rounds=2
        )

        assert debate_workflow is not None
        assert hasattr(debate_workflow, "build") or hasattr(debate_workflow, "execute")

    def test_parameter_injection_error_analysis(self):
        """Analyze parameter injection errors."""
        from kaizen import Kaizen

        kaizen = Kaizen()

        # Test parameter injection methods - agent needs signature for workflow compilation
        agent = kaizen.create_agent(
            "param_test",
            {"model": "gpt-4", "temperature": 0.7, "signature": "input -> output"},
        )

        # Test workflow compilation with parameters
        workflow = agent.compile_to_workflow()
        workflow.build()

        # Test runtime execution with parameters
        runtime = kaizen.runtime
        assert runtime is not None


if __name__ == "__main__":
    pytest.main([__file__, "-v"])
