"""
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
import time
from typing import Dict, Any, List
from unittest.mock import Mock, patch

from kaizen.core.framework import Kaizen
from kaizen.core.config import KaizenConfig
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
        agent = 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)])