"""
Unit tests for missing enterprise methods in Kaizen Framework.

This module follows strict TDD principles - tests are written first to define
expected behavior, then implementation is created to make tests pass.

MISSING METHODS IDENTIFIED:
- get_audit_trail() not implemented
- create_memory_system() not available
- create_session() not implemented
- create_coordinator() not available
- Enterprise configuration not properly attached to agents
"""

import pytest
from kaizen.core.config import KaizenConfig
from kaizen.core.framework import Kaizen

from tests.fixtures.consolidated_test_fixtures import consolidated_fixtures


class TestEnterpriseAuditTrailMethod:
    """Test enterprise audit trail functionality."""

    def test_get_audit_trail_method_exists(self):
        """Test that get_audit_trail() method exists and is callable."""
        # Use standardized enterprise config instead of hardcoded
        enterprise_config = consolidated_fixtures.get_configuration("enterprise")
        kaizen = Kaizen(config=KaizenConfig(**enterprise_config))

        # Method should exist
        assert hasattr(
            kaizen, "get_audit_trail"
        ), "Framework should have get_audit_trail method"
        assert callable(
            getattr(kaizen, "get_audit_trail")
        ), "get_audit_trail should be callable"

    def test_get_audit_trail_returns_list(self):
        """Test that get_audit_trail() returns a list of audit entries."""
        kaizen = Kaizen(
            config=KaizenConfig(
                audit_trail_enabled=True,
                transparency_enabled=True,
                compliance_mode="enterprise",
            )
        )

        audit_trail = kaizen.get_audit_trail()

        # Should return a list
        assert isinstance(audit_trail, list), "get_audit_trail should return a list"

    def test_get_audit_trail_with_framework_operations(self):
        """Test that get_audit_trail() captures framework operations."""
        kaizen = Kaizen(
            config=KaizenConfig(
                audit_trail_enabled=True,
                transparency_enabled=True,
                compliance_mode="enterprise",
            )
        )

        # Perform some framework operations
        kaizen.create_agent("test_agent", {"model": "gpt-3.5-turbo"})

        audit_trail = kaizen.get_audit_trail()

        # Should contain audit entries for framework operations
        assert (
            len(audit_trail) > 0
        ), "Audit trail should contain entries after framework operations"

        # Check for agent creation entry
        agent_creation_entries = [
            entry for entry in audit_trail if "agent" in str(entry).lower()
        ]
        assert (
            len(agent_creation_entries) > 0
        ), "Audit trail should contain agent creation entries"

    def test_get_audit_trail_with_limit_parameter(self):
        """Test that get_audit_trail() accepts limit parameter."""
        kaizen = Kaizen(
            config=KaizenConfig(
                audit_trail_enabled=True,
                transparency_enabled=True,
                compliance_mode="enterprise",
            )
        )

        # Create multiple operations to generate audit entries
        for i in range(5):
            kaizen.create_agent(f"agent_{i}", {"model": "gpt-3.5-turbo"})

        # Test with limit
        limited_trail = kaizen.get_audit_trail(limit=2)
        assert (
            len(limited_trail) <= 2
        ), "Limited audit trail should respect limit parameter"

        # Test without limit
        full_trail = kaizen.get_audit_trail()
        assert len(full_trail) >= len(
            limited_trail
        ), "Full trail should have more or equal entries"

    def test_get_audit_trail_enterprise_features_disabled(self):
        """Test get_audit_trail behavior when enterprise features are disabled."""
        kaizen = Kaizen(
            config=KaizenConfig(
                audit_trail_enabled=False,
                transparency_enabled=False,
                compliance_mode="standard",
            )
        )

        # Should still have method but return empty list or basic entries
        audit_trail = kaizen.get_audit_trail()
        assert isinstance(audit_trail, list), "Should return list even when disabled"

    def test_get_audit_trail_entry_structure(self):
        """Test that audit trail entries have expected structure."""
        kaizen = Kaizen(
            config=KaizenConfig(
                audit_trail_enabled=True,
                transparency_enabled=True,
                compliance_mode="enterprise",
            )
        )

        # Perform operation
        kaizen.create_agent("test_agent", {"model": "gpt-3.5-turbo"})

        audit_trail = kaizen.get_audit_trail()

        if audit_trail:  # If there are entries
            entry = audit_trail[0]

            # Each entry should be a dictionary
            assert isinstance(entry, dict), "Audit trail entries should be dictionaries"

            # Should have required fields
            expected_fields = ["action", "timestamp"]
            for field in expected_fields:
                assert field in entry, f"Audit entry should have '{field}' field"


class TestEnterpriseMemorySystemMethod:
    """Test enterprise memory system creation functionality."""

    def test_create_memory_system_method_exists(self):
        """Test that create_memory_system() method exists and is callable."""
        kaizen = Kaizen(
            config=KaizenConfig(
                memory_enabled=True,
                transparency_enabled=True,
                compliance_mode="enterprise",
            )
        )

        # Method should exist
        assert hasattr(
            kaizen, "create_memory_system"
        ), "Framework should have create_memory_system method"
        assert callable(
            getattr(kaizen, "create_memory_system")
        ), "create_memory_system should be callable"

    def test_create_memory_system_with_tier_configuration(self):
        """Test that create_memory_system() accepts tier configuration."""
        kaizen = Kaizen(
            config=KaizenConfig(
                memory_enabled=True,
                transparency_enabled=True,
                compliance_mode="enterprise",
            )
        )

        # Should accept tier configuration
        memory_system = kaizen.create_memory_system(
            tier="enterprise",
            config={"persistence": True, "encryption": True, "audit_trail": True},
        )

        # Should return memory system instance
        assert (
            memory_system is not None
        ), "create_memory_system should return memory system instance"

    def test_create_memory_system_with_different_tiers(self):
        """Test create_memory_system with different tier configurations."""
        kaizen = Kaizen(
            config=KaizenConfig(
                memory_enabled=True,
                transparency_enabled=True,
                compliance_mode="enterprise",
            )
        )

        # Test different tiers
        tiers = ["basic", "standard", "enterprise"]

        for tier in tiers:
            memory_system = kaizen.create_memory_system(tier=tier)
            assert (
                memory_system is not None
            ), f"Should create memory system for tier '{tier}'"

    def test_create_memory_system_enterprise_features(self):
        """Test memory system creation with enterprise features."""
        kaizen = Kaizen(
            config=KaizenConfig(
                memory_enabled=True,
                transparency_enabled=True,
                compliance_mode="enterprise",
                security_level="high",
            )
        )

        memory_system = kaizen.create_memory_system(
            tier="enterprise",
            config={
                "encryption": True,
                "audit_trail": True,
                "compliance_validation": True,
                "multi_tenant": True,
            },
        )

        # Should have enterprise capabilities
        assert hasattr(memory_system, "store"), "Memory system should have store method"
        assert hasattr(
            memory_system, "retrieve"
        ), "Memory system should have retrieve method"
        assert hasattr(
            memory_system, "search"
        ), "Memory system should have search method"

    def test_create_memory_system_memory_disabled(self):
        """Test create_memory_system behavior when memory is disabled."""
        kaizen = Kaizen(
            config=KaizenConfig(
                memory_enabled=False,
                transparency_enabled=False,
                compliance_mode="standard",
            )
        )

        # Should raise appropriate error or return None
        with pytest.raises((ValueError, RuntimeError)):
            kaizen.create_memory_system(tier="enterprise")


class TestEnterpriseSessionMethod:
    """Test enterprise session creation functionality."""

    def test_create_session_method_exists(self):
        """Test that create_session() method exists and is callable."""
        kaizen = Kaizen(
            config=KaizenConfig(
                multi_agent_enabled=True,
                transparency_enabled=True,
                compliance_mode="enterprise",
            )
        )

        # Method should exist
        assert hasattr(
            kaizen, "create_session"
        ), "Framework should have create_session method"
        assert callable(
            getattr(kaizen, "create_session")
        ), "create_session should be callable"

    def test_create_session_with_session_config(self):
        """Test that create_session() accepts session configuration."""
        kaizen = Kaizen(
            config=KaizenConfig(
                multi_agent_enabled=True,
                transparency_enabled=True,
                compliance_mode="enterprise",
            )
        )

        session = kaizen.create_session(
            session_id="enterprise_session_001",
            config={
                "multi_tenant": True,
                "isolation_level": "strict",
                "audit_enabled": True,
                "session_timeout": 3600,
            },
        )

        # Should return session instance
        assert session is not None, "create_session should return session instance"

    def test_create_session_enterprise_multi_tenancy(self):
        """Test session creation with enterprise multi-tenancy support."""
        kaizen = Kaizen(
            config=KaizenConfig(
                multi_agent_enabled=True,
                multi_tenant=True,
                transparency_enabled=True,
                compliance_mode="enterprise",
            )
        )

        session = kaizen.create_session(
            session_id="tenant_session_001",
            tenant_id="enterprise_tenant_a",
            config={
                "tenant_isolation": True,
                "cross_tenant_access": False,
                "compliance_validation": True,
            },
        )

        # Should have enterprise session capabilities
        assert hasattr(
            session, "session_id"
        ), "Session should have session_id attribute"
        assert hasattr(session, "get_agents"), "Session should have get_agents method"
        assert hasattr(session, "execute"), "Session should have execute method"

    def test_create_session_with_agent_assignment(self):
        """Test session creation with agent assignment."""
        kaizen = Kaizen(
            config=KaizenConfig(
                multi_agent_enabled=True,
                transparency_enabled=True,
                compliance_mode="enterprise",
            )
        )

        # Create agents first
        agent1 = kaizen.create_agent("agent1", {"model": "gpt-3.5-turbo"})
        agent2 = kaizen.create_agent("agent2", {"model": "gpt-4"})

        session = kaizen.create_session(
            session_id="multi_agent_session",
            agents=[agent1, agent2],
            config={
                "coordination_pattern": "collaborative",
                "session_persistence": True,
            },
        )

        # Session should manage multiple agents
        session_agents = session.get_agents()
        assert len(session_agents) == 2, "Session should manage assigned agents"

    def test_create_session_auto_generated_id(self):
        """Test session creation with auto-generated session ID."""
        kaizen = Kaizen(
            config=KaizenConfig(
                multi_agent_enabled=True,
                transparency_enabled=True,
                compliance_mode="enterprise",
            )
        )

        session = kaizen.create_session()

        # Should auto-generate session ID
        assert hasattr(session, "session_id"), "Session should have session_id"
        assert session.session_id is not None, "Session ID should be auto-generated"
        assert len(session.session_id) > 0, "Session ID should not be empty"


class TestEnterpriseCoordinatorMethod:
    """Test enterprise coordinator creation functionality."""

    def test_create_coordinator_method_exists(self):
        """Test that create_coordinator() method exists and is callable."""
        kaizen = Kaizen(
            config=KaizenConfig(
                multi_agent_enabled=True,
                transparency_enabled=True,
                compliance_mode="enterprise",
            )
        )

        # Method should exist
        assert hasattr(
            kaizen, "create_coordinator"
        ), "Framework should have create_coordinator method"
        assert callable(
            getattr(kaizen, "create_coordinator")
        ), "create_coordinator should be callable"

    def test_create_coordinator_with_coordination_pattern(self):
        """Test coordinator creation with coordination patterns."""
        kaizen = Kaizen(
            config=KaizenConfig(
                multi_agent_enabled=True,
                transparency_enabled=True,
                compliance_mode="enterprise",
            )
        )

        # Create agents for coordination
        agents = [
            kaizen.create_agent("agent1", {"model": "gpt-3.5-turbo"}),
            kaizen.create_agent("agent2", {"model": "gpt-4"}),
        ]

        coordinator = kaizen.create_coordinator(
            pattern="consensus",
            agents=agents,
            config={
                "consensus_threshold": 0.75,
                "max_iterations": 5,
                "audit_decisions": True,
            },
        )

        # Should return coordinator instance
        assert (
            coordinator is not None
        ), "create_coordinator should return coordinator instance"

    def test_create_coordinator_different_patterns(self):
        """Test coordinator creation with different coordination patterns."""
        kaizen = Kaizen(
            config=KaizenConfig(
                multi_agent_enabled=True,
                transparency_enabled=True,
                compliance_mode="enterprise",
            )
        )

        agents = [
            kaizen.create_agent("agent1", {"model": "gpt-3.5-turbo"}),
            kaizen.create_agent("agent2", {"model": "gpt-4"}),
        ]

        patterns = ["consensus", "debate", "hierarchical", "collaborative"]

        for pattern in patterns:
            coordinator = kaizen.create_coordinator(pattern=pattern, agents=agents)
            assert (
                coordinator is not None
            ), f"Should create coordinator for pattern '{pattern}'"

    def test_create_coordinator_enterprise_workflow_execution(self):
        """Test coordinator execution of enterprise workflows."""
        kaizen = Kaizen(
            config=KaizenConfig(
                multi_agent_enabled=True,
                transparency_enabled=True,
                compliance_mode="enterprise",
            )
        )

        agents = [
            kaizen.create_agent("analyst", {"model": "gpt-4", "role": "analyst"}),
            kaizen.create_agent(
                "reviewer", {"model": "gpt-3.5-turbo", "role": "reviewer"}
            ),
        ]

        coordinator = kaizen.create_coordinator(
            pattern="hierarchical",
            agents=agents,
            config={
                "enterprise_features": True,
                "audit_trail": True,
                "compliance_validation": True,
            },
        )

        # Should have enterprise execution capabilities
        assert hasattr(coordinator, "execute"), "Coordinator should have execute method"
        assert hasattr(
            coordinator, "get_results"
        ), "Coordinator should have get_results method"

    def test_create_coordinator_multi_agent_disabled(self):
        """Test create_coordinator behavior when multi-agent is disabled."""
        kaizen = Kaizen(
            config=KaizenConfig(
                multi_agent_enabled=False,
                transparency_enabled=False,
                compliance_mode="standard",
            )
        )

        agents = [kaizen.create_agent("agent1", {"model": "gpt-3.5-turbo"})]

        # Should raise appropriate error
        with pytest.raises((ValueError, RuntimeError)):
            kaizen.create_coordinator(pattern="consensus", agents=agents)


class TestEnterpriseConfigurationIntegration:
    """Test enterprise configuration integration with agents and framework."""

    def test_agent_enterprise_configuration_attachment(self):
        """Test that enterprise configuration is properly attached to agents."""
        enterprise_config = KaizenConfig(
            audit_trail_enabled=True,
            transparency_enabled=True,
            compliance_mode="enterprise",
            security_level="high",
            multi_tenant=True,
        )

        kaizen = Kaizen(config=enterprise_config)

        agent = kaizen.create_agent(
            "enterprise_agent", {"model": "gpt-4", "enterprise_features": True}
        )

        # Agent should have access to enterprise configuration
        assert hasattr(agent, "config"), "Agent should have config attribute"
        assert hasattr(
            agent, "enterprise_config"
        ), "Agent should have enterprise_config attribute"

        # Enterprise features should be enabled
        assert agent.enterprise_config.audit_trail_enabled == True
        assert agent.enterprise_config.compliance_mode == "enterprise"

    def test_enterprise_methods_integration(self):
        """Test that all enterprise methods work together."""
        kaizen = Kaizen(
            config=KaizenConfig(
                memory_enabled=True,
                multi_agent_enabled=True,
                audit_trail_enabled=True,
                transparency_enabled=True,
                compliance_mode="enterprise",
            )
        )

        # Create memory system
        memory_system = kaizen.create_memory_system(tier="enterprise")

        # Create session
        session = kaizen.create_session(session_id="integration_test")

        # Create agents
        agents = [
            kaizen.create_agent("agent1", {"model": "gpt-3.5-turbo"}),
            kaizen.create_agent("agent2", {"model": "gpt-4"}),
        ]

        # Create coordinator
        coordinator = kaizen.create_coordinator(pattern="consensus", agents=agents)

        # Get audit trail
        audit_trail = kaizen.get_audit_trail()

        # All components should be created successfully
        assert memory_system is not None
        assert session is not None
        assert coordinator is not None
        assert isinstance(audit_trail, list)
        assert len(audit_trail) > 0, "Audit trail should capture all operations"

    def test_enterprise_configuration_validation(self):
        """Test that enterprise configuration is properly validated."""
        # Valid enterprise configuration
        valid_config = KaizenConfig(
            memory_enabled=True,
            multi_agent_enabled=True,
            audit_trail_enabled=True,
            transparency_enabled=True,
            compliance_mode="enterprise",
            security_level="high",
        )

        kaizen = Kaizen(config=valid_config)

        # All enterprise methods should work
        memory_system = kaizen.create_memory_system(tier="enterprise")
        session = kaizen.create_session()
        agents = [
            kaizen.create_agent("agent1", {"model": "gpt-3.5-turbo"}),
            kaizen.create_agent("agent2", {"model": "gpt-4"}),
        ]
        coordinator = kaizen.create_coordinator(pattern="consensus", agents=agents)
        audit_trail = kaizen.get_audit_trail()

        # All should be successfully created
        assert all([memory_system, session, coordinator, isinstance(audit_trail, list)])
