"""
Tier 3 (E2E Tests) for Enterprise Workflow Templates

These tests verify complete end-to-end enterprise workflow scenarios from
business requirements to full compliance reporting, using real infrastructure.

Test Requirements:
- Complete user workflows from start to finish
- Real infrastructure and data (NO MOCKING)
- Test actual enterprise scenarios and business requirements
- Test complete workflows with runtime execution
- Validate enterprise compliance and audit requirements end-to-end
- Performance validation under enterprise load scenarios
- Integration with existing Kailash enterprise infrastructure
- Location: tests/e2e/
- Timeout: <10 seconds per test

Enterprise Scenarios Tested:
1. Complete enterprise approval workflows with multi-level authorization
2. Customer service workflows with real escalation and SLA compliance
3. Document analysis pipelines with full compliance validation
4. Multi-tenant enterprise workflows with complete isolation validation
5. Compliance workflows meeting regulatory requirements (GDPR, SOX, HIPAA)
6. Enterprise monitoring and alerting integration
7. Complete audit trail generation and compliance reporting
"""

import time
import uuid

import pytest

from kailash.runtime.local import LocalRuntime

# Core SDK imports for E2E validation

# Test markers
pytestmark = pytest.mark.e2e


class TestEnterpriseApprovalWorkflowE2E:
    """Test complete enterprise approval workflow scenarios end-to-end."""

    def test_complete_enterprise_approval_workflow_scenario(self):
        """Test complete enterprise approval workflow from request to final approval."""
        import kaizen

        # Initialize enterprise framework
        framework = kaizen.Kaizen(
            config={
                "audit_trail_enabled": True,
                "compliance_mode": "enterprise",
                "security_level": "high",
                "monitoring_level": "detailed",
                "multi_tenant": True,
            }
        )

        # Initialize enterprise features
        framework.initialize_enterprise_features()

        # Scenario: Major software deployment approval requiring multi-level sign-off
        approval_request = {
            "request_id": str(uuid.uuid4()),
            "request_type": "software_deployment",
            "requestor": "development_team",
            "description": "Deploy new customer portal version 2.1",
            "risk_level": "medium",
            "business_impact": "high",
            "compliance_requirements": ["SOX", "GDPR"],
            "estimated_cost": 50000,
            "rollback_plan": "automated_rollback_available",
        }

        # Create comprehensive approval workflow
        approval_config = {
            "approval_levels": [
                "technical",
                "security",
                "business",
                "financial",
                "executive",
            ],
            "escalation_timeout": "24_hours",
            "audit_requirements": "complete",
            "digital_signature": True,
            "compliance_standards": ["SOX", "GDPR"],
            "parallel_approvals": [
                "technical",
                "security",
            ],  # These can run in parallel
            "conditional_routing": True,  # Route based on risk/cost
            "notification_channels": ["email", "slack", "dashboard"],
            "approval_criteria": {
                "technical": {"code_review": True, "security_scan": True},
                "security": {"threat_assessment": True, "compliance_check": True},
                "business": {"impact_analysis": True, "stakeholder_approval": True},
                "financial": {"budget_approval": True, "cost_analysis": True},
                "executive": {"strategic_alignment": True, "final_authorization": True},
            },
        }

        # Create enterprise approval workflow
        start_time = time.time()
        approval_workflow = framework.create_enterprise_workflow(
            "approval", approval_config
        )

        # Execute complete approval process
        built_workflow = approval_workflow.build()
        runtime = LocalRuntime()

        # Pass approval request as workflow parameters
        workflow_params = {"approval_request": approval_request}
        results, run_id = runtime.execute(built_workflow, workflow_params)
        total_time = time.time() - start_time

        # Verify complete workflow execution
        assert results is not None, "Approval workflow failed to execute"
        assert run_id is not None, "No run ID generated for approval workflow"
        assert (
            total_time < 10.0
        ), f"Approval workflow took {total_time:.2f}s (should be <10s)"

        # Verify all approval levels were processed
        processed_levels = []
        for node_id in results.keys():
            for level in approval_config["approval_levels"]:
                if level in node_id.lower():
                    processed_levels.append(level)

        assert (
            len(set(processed_levels)) >= 5
        ), f"Not all approval levels processed. Found: {set(processed_levels)}"

        # Verify audit trail was created
        audit_trail = framework.get_coordination_audit_trail()
        assert len(audit_trail) > 0, "No audit trail entries created"

        # Find audit entry for this workflow
        workflow_audit = [
            entry for entry in audit_trail if entry.get("run_id") == run_id
        ]
        assert (
            len(workflow_audit) > 0
        ), "No audit entry found for this workflow execution"

        # Verify compliance reporting
        compliance_report = framework.generate_compliance_report()
        assert compliance_report is not None, "Failed to generate compliance report"
        assert (
            "compliance_status" in compliance_report
        ), "Compliance status missing from report"

        # Verify digital signature validation
        signature_nodes = [
            node_id for node_id in results.keys() if "signature" in node_id.lower()
        ]
        assert len(signature_nodes) > 0, "No digital signature nodes found"

        for node_id in signature_nodes:
            result = results[node_id]
            assert (
                result["status"] == "completed"
            ), f"Digital signature validation failed for {node_id}"

        # Verify notification nodes were created
        notification_nodes = [
            node_id for node_id in results.keys() if "notification" in node_id.lower()
        ]
        assert len(notification_nodes) > 0, "No notification nodes found"

        # Verify final approval decision
        final_nodes = [
            node_id
            for node_id in results.keys()
            if "final" in node_id.lower() or "decision" in node_id.lower()
        ]
        assert len(final_nodes) > 0, "No final approval decision nodes found"

    def test_enterprise_approval_with_rejection_and_resubmission(self):
        """Test complete approval workflow with rejection and resubmission scenario."""
        import kaizen

        framework = kaizen.Kaizen(
            config={"audit_trail_enabled": True, "compliance_mode": "enterprise"}
        )

        # Scenario: Initial request rejected due to insufficient documentation
        initial_request = {
            "request_id": str(uuid.uuid4()),
            "request_type": "database_schema_change",
            "requestor": "backend_team",
            "documentation_complete": False,  # This will trigger rejection
            "risk_level": "high",
        }

        approval_config = {
            "approval_levels": ["technical", "dba", "security"],
            "rejection_handling": True,
            "resubmission_allowed": True,
            "audit_requirements": "complete",
            "validation_rules": {
                "documentation_complete": True,
                "risk_assessment": True,
                "rollback_plan": True,
            },
        }

        # Execute initial approval (should be rejected)
        workflow_v1 = framework.create_enterprise_workflow("approval", approval_config)
        built_workflow_v1 = workflow_v1.build()
        runtime = LocalRuntime()

        results_v1, run_id_v1 = runtime.execute(
            built_workflow_v1, {"approval_request": initial_request}
        )

        # Verify rejection was handled properly
        assert results_v1 is not None
        rejection_nodes = [
            node_id for node_id in results_v1.keys() if "reject" in node_id.lower()
        ]
        assert len(rejection_nodes) > 0, "No rejection handling found"

        # Create corrected resubmission
        corrected_request = initial_request.copy()
        corrected_request.update(
            {
                "documentation_complete": True,
                "risk_assessment_complete": True,
                "rollback_plan": "detailed_rollback_procedure_attached",
                "resubmission_of": run_id_v1,
            }
        )

        # Execute resubmission workflow
        workflow_v2 = framework.create_enterprise_workflow("approval", approval_config)
        built_workflow_v2 = workflow_v2.build()

        results_v2, run_id_v2 = runtime.execute(
            built_workflow_v2, {"approval_request": corrected_request}
        )

        # Verify resubmission was processed successfully
        assert results_v2 is not None
        assert run_id_v2 != run_id_v1, "Resubmission should have different run ID"

        # Verify approval was granted after corrections
        approval_nodes = [
            node_id for node_id in results_v2.keys() if "approve" in node_id.lower()
        ]
        assert len(approval_nodes) > 0, "No approval nodes found in resubmission"

        # Verify audit trail tracks both attempts
        audit_trail = framework.get_coordination_audit_trail()
        workflow_audits = [
            entry
            for entry in audit_trail
            if entry.get("run_id") in [run_id_v1, run_id_v2]
        ]
        assert (
            len(workflow_audits) >= 2
        ), "Audit trail should contain both original and resubmission"


class TestEnterpriseCustomerServiceWorkflowE2E:
    """Test complete enterprise customer service workflow scenarios."""

    def test_complete_customer_service_escalation_scenario(self):
        """Test complete customer service workflow with escalation through all tiers."""
        import kaizen

        framework = kaizen.Kaizen(
            config={
                "monitoring_level": "detailed",
                "audit_trail_enabled": True,
                "sla_monitoring": True,
            }
        )

        # Scenario: Complex customer issue requiring escalation
        service_request = {
            "ticket_id": str(uuid.uuid4()),
            "customer_tier": "enterprise",
            "priority": "high",
            "category": "technical_issue",
            "description": "Production system experiencing intermittent outages",
            "affected_users": 1500,
            "business_impact": "revenue_affecting",
            "sla_deadline": time.time() + 3600,  # 1 hour SLA
        }

        # Configure comprehensive customer service workflow
        service_config = {
            "routing_rules": "priority_based",
            "escalation_levels": [
                "tier1",
                "tier2",
                "tier3",
                "supervisor",
                "engineering",
            ],
            "sla_requirements": {
                "response_time": "5_minutes",
                "resolution_time": "4_hours",
                "escalation_triggers": ["sla_breach", "customer_request", "complexity"],
            },
            "notification_channels": ["email", "sms", "pager", "dashboard"],
            "knowledge_base_integration": True,
            "customer_communication": True,
            "audit_trail": True,
        }

        # Execute customer service workflow
        start_time = time.time()
        service_workflow = framework.create_enterprise_workflow(
            "customer_service", service_config
        )
        built_workflow = service_workflow.build()

        runtime = LocalRuntime()
        results, run_id = runtime.execute(
            built_workflow, {"service_request": service_request}
        )
        total_time = time.time() - start_time

        # Verify complete workflow execution
        assert results is not None, "Customer service workflow failed to execute"
        assert run_id is not None, "No run ID generated"
        assert (
            total_time < 10.0
        ), f"Service workflow took {total_time:.2f}s (should be <10s)"

        # Verify all escalation levels were configured
        escalation_nodes = []
        for level in service_config["escalation_levels"]:
            level_nodes = [
                node_id for node_id in results.keys() if level in node_id.lower()
            ]
            escalation_nodes.extend(level_nodes)

        assert (
            len(escalation_nodes) >= 5
        ), f"Not all escalation levels found. Found nodes: {escalation_nodes}"

        # Verify SLA monitoring nodes
        sla_nodes = [node_id for node_id in results.keys() if "sla" in node_id.lower()]
        assert len(sla_nodes) > 0, "No SLA monitoring nodes found"

        # Verify routing logic
        routing_nodes = [
            node_id
            for node_id in results.keys()
            if "routing" in node_id.lower() or "priority" in node_id.lower()
        ]
        assert len(routing_nodes) > 0, "No routing logic nodes found"

        # Verify customer communication nodes
        communication_nodes = [
            node_id
            for node_id in results.keys()
            if "communication" in node_id.lower() or "notification" in node_id.lower()
        ]
        assert len(communication_nodes) > 0, "No customer communication nodes found"

        # Verify knowledge base integration
        kb_nodes = [
            node_id
            for node_id in results.keys()
            if "knowledge" in node_id.lower() or "search" in node_id.lower()
        ]
        assert len(kb_nodes) > 0, "No knowledge base integration found"

    def test_customer_service_sla_compliance_monitoring(self):
        """Test SLA compliance monitoring and alerting in customer service workflows."""
        import kaizen

        framework = kaizen.Kaizen(
            config={
                "monitoring_level": "detailed",
                "sla_monitoring": True,
                "alerting_enabled": True,
            }
        )

        # High priority request with tight SLA
        urgent_request = {
            "ticket_id": str(uuid.uuid4()),
            "customer_tier": "platinum",
            "priority": "critical",
            "category": "system_outage",
            "sla_deadline": time.time() + 900,  # 15 minute SLA
            "escalation_required": True,
        }

        sla_config = {
            "routing_rules": "sla_based",
            "escalation_levels": ["tier1", "supervisor", "engineering"],
            "sla_requirements": {
                "response_time": "2_minutes",
                "escalation_time": "5_minutes",
                "resolution_time": "15_minutes",
            },
            "sla_monitoring": True,
            "auto_escalation": True,
            "audit_trail": True,
        }

        # Execute with SLA monitoring
        workflow = framework.create_enterprise_workflow("customer_service", sla_config)
        built_workflow = workflow.build()

        runtime = LocalRuntime()
        results, run_id = runtime.execute(
            built_workflow, {"service_request": urgent_request}
        )

        # Verify SLA monitoring was implemented
        sla_monitoring_nodes = [
            node_id
            for node_id in results.keys()
            if "sla" in node_id.lower() and "monitor" in node_id.lower()
        ]
        assert len(sla_monitoring_nodes) > 0, "No SLA monitoring nodes found"

        # Verify auto-escalation logic
        auto_escalation_nodes = [
            node_id
            for node_id in results.keys()
            if "auto" in node_id.lower() and "escalat" in node_id.lower()
        ]
        assert len(auto_escalation_nodes) > 0, "No auto-escalation logic found"

        # Verify alerting nodes
        alert_nodes = [
            node_id
            for node_id in results.keys()
            if "alert" in node_id.lower() or "notify" in node_id.lower()
        ]
        assert len(alert_nodes) > 0, "No alerting nodes found"


class TestEnterpriseDocumentAnalysisWorkflowE2E:
    """Test complete enterprise document analysis workflows with compliance."""

    def test_complete_document_analysis_pipeline_with_compliance(self):
        """Test complete document analysis pipeline with full compliance validation."""
        import kaizen

        framework = kaizen.Kaizen(
            config={
                "compliance_mode": "enterprise",
                "security_level": "high",
                "audit_trail_enabled": True,
                "data_lineage_tracking": True,
            }
        )

        # Document processing scenario
        document_batch = {
            "batch_id": str(uuid.uuid4()),
            "document_types": [
                "contracts",
                "invoices",
                "personal_data",
                "financial_records",
            ],
            "document_count": 150,
            "contains_pii": True,
            "contains_financial_data": True,
            "compliance_requirements": ["GDPR", "SOX", "HIPAA"],
            "retention_policy": "7_years",
            "processing_purpose": "contract_analysis",
        }

        # Comprehensive document analysis configuration
        analysis_config = {
            "processing_stages": [
                "ingestion",
                "validation",
                "extraction",
                "classification",
                "pii_detection",
                "compliance_check",
                "analysis",
                "output",
            ],
            "compliance_checks": [
                "PII_detection",
                "data_classification",
                "retention_validation",
                "access_control",
                "encryption_verification",
            ],
            "audit_requirements": "full_lineage",
            "data_lineage_tracking": True,
            "privacy_protection": True,
            "output_formats": ["structured_data", "compliance_report", "audit_log"],
        }

        # Execute document analysis pipeline
        start_time = time.time()
        analysis_workflow = framework.create_enterprise_workflow(
            "document_analysis", analysis_config
        )
        built_workflow = analysis_workflow.build()

        runtime = LocalRuntime()
        results, run_id = runtime.execute(
            built_workflow, {"document_batch": document_batch}
        )
        total_time = time.time() - start_time

        # Verify complete pipeline execution
        assert results is not None, "Document analysis workflow failed"
        assert run_id is not None, "No run ID generated"
        assert (
            total_time < 10.0
        ), f"Document analysis took {total_time:.2f}s (should be <10s)"

        # Verify all processing stages were implemented
        stage_coverage = {}
        for stage in analysis_config["processing_stages"]:
            stage_nodes = [
                node_id for node_id in results.keys() if stage in node_id.lower()
            ]
            stage_coverage[stage] = len(stage_nodes) > 0

        missing_stages = [
            stage for stage, present in stage_coverage.items() if not present
        ]
        assert len(missing_stages) == 0, f"Missing processing stages: {missing_stages}"

        # Verify compliance checks were performed
        compliance_nodes = []
        for check in analysis_config["compliance_checks"]:
            check_nodes = [
                node_id
                for node_id in results.keys()
                if check.lower().replace("_", "") in node_id.lower().replace("_", "")
            ]
            compliance_nodes.extend(check_nodes)

        assert (
            len(compliance_nodes) > 0
        ), f"No compliance check nodes found. Available nodes: {list(results.keys())}"

        # Verify data lineage tracking
        lineage_nodes = [
            node_id for node_id in results.keys() if "lineage" in node_id.lower()
        ]
        assert len(lineage_nodes) > 0, "No data lineage tracking nodes found"

        # Verify PII detection and protection
        pii_nodes = [node_id for node_id in results.keys() if "pii" in node_id.lower()]
        assert len(pii_nodes) > 0, "No PII detection nodes found"

        # Verify audit trail includes document processing
        audit_trail = framework.get_coordination_audit_trail()
        document_audits = [
            entry for entry in audit_trail if entry.get("run_id") == run_id
        ]
        assert len(document_audits) > 0, "No audit entries for document processing"

    def test_document_analysis_gdpr_compliance_validation(self):
        """Test document analysis with specific GDPR compliance requirements."""
        import kaizen

        framework = kaizen.Kaizen(
            config={
                "compliance_mode": "enterprise",
                "gdpr_compliance": True,
                "audit_trail_enabled": True,
            }
        )

        # GDPR-specific document scenario
        gdpr_documents = {
            "batch_id": str(uuid.uuid4()),
            "document_types": ["customer_data", "employee_records", "marketing_data"],
            "contains_personal_data": True,
            "data_subjects": ["EU_residents", "employees"],
            "processing_lawful_basis": "legitimate_interest",
            "consent_records_available": True,
            "retention_period": "5_years",
        }

        gdpr_config = {
            "compliance_type": "GDPR",
            "processing_stages": [
                "consent_validation",
                "lawful_basis_check",
                "data_processing",
                "retention_check",
            ],
            "privacy_checks": [
                "data_minimization",
                "purpose_limitation",
                "accuracy",
                "storage_limitation",
            ],
            "subject_rights": ["access", "rectification", "erasure", "portability"],
            "audit_requirements": "gdpr_compliant",
        }

        # Execute GDPR compliance workflow
        gdpr_workflow = framework.create_enterprise_workflow("compliance", gdpr_config)
        built_workflow = gdpr_workflow.build()

        runtime = LocalRuntime()
        results, run_id = runtime.execute(
            built_workflow, {"gdpr_documents": gdpr_documents}
        )

        # Verify GDPR-specific compliance checks
        gdpr_nodes = [
            node_id for node_id in results.keys() if "gdpr" in node_id.lower()
        ]
        assert len(gdpr_nodes) > 0, "No GDPR-specific nodes found"

        # Verify privacy checks
        privacy_nodes = [
            node_id
            for node_id in results.keys()
            if any(
                check in node_id.lower()
                for check in ["privacy", "minimization", "accuracy", "limitation"]
            )
        ]
        assert len(privacy_nodes) > 0, "No privacy check nodes found"

        # Verify subject rights implementation
        rights_nodes = [
            node_id
            for node_id in results.keys()
            if any(
                right in node_id.lower()
                for right in ["access", "rectification", "erasure", "portability"]
            )
        ]
        assert len(rights_nodes) > 0, "No subject rights nodes found"

        # Verify consent validation
        consent_nodes = [
            node_id for node_id in results.keys() if "consent" in node_id.lower()
        ]
        assert len(consent_nodes) > 0, "No consent validation nodes found"

        # Generate and verify GDPR compliance report
        compliance_report = framework.generate_compliance_report()
        assert (
            "gdpr_compliance" in compliance_report
        ), "GDPR compliance section missing from report"

        gdpr_report = compliance_report["gdpr_compliance"]
        assert (
            "data_processing_records" in gdpr_report
        ), "Data processing records missing"
        assert "privacy_checks_passed" in gdpr_report, "Privacy checks results missing"
        assert (
            "subject_rights_supported" in gdpr_report
        ), "Subject rights support missing"


class TestEnterpriseMultiTenantWorkflowE2E:
    """Test complete multi-tenant enterprise workflow scenarios."""

    def test_complete_multi_tenant_isolation_scenario(self):
        """Test complete multi-tenant workflow with strict isolation validation."""
        import kaizen

        framework = kaizen.Kaizen(
            config={
                "multi_tenant": True,
                "tenant_isolation": "strict",
                "audit_trail_enabled": True,
                "security_level": "high",
            }
        )

        # Multiple tenant scenarios
        tenant_scenarios = [
            {
                "tenant_id": "healthcare_corp",
                "industry": "healthcare",
                "compliance_requirements": ["HIPAA"],
                "security_level": "high",
                "data_classification": "sensitive",
            },
            {
                "tenant_id": "financial_services",
                "industry": "finance",
                "compliance_requirements": ["SOX", "PCI_DSS"],
                "security_level": "maximum",
                "data_classification": "confidential",
            },
            {
                "tenant_id": "tech_startup",
                "industry": "technology",
                "compliance_requirements": ["GDPR"],
                "security_level": "standard",
                "data_classification": "internal",
            },
        ]

        # Execute workflows for all tenants
        tenant_results = []
        runtime = LocalRuntime()

        for scenario in tenant_scenarios:
            # Create tenant-specific workflow configuration
            tenant_config = {
                "tenant_id": scenario["tenant_id"],
                "approval_levels": ["technical", "compliance", "executive"],
                "tenant_isolation": "strict",
                "cross_tenant_access": False,
                "compliance_standards": scenario["compliance_requirements"],
                "security_level": scenario["security_level"],
                "data_classification": scenario["data_classification"],
            }

            # Create and execute tenant workflow
            tenant_workflow = framework.create_enterprise_workflow(
                "approval", tenant_config
            )
            built_workflow = tenant_workflow.build()

            start_time = time.time()
            results, run_id = runtime.execute(built_workflow, {"tenant_data": scenario})
            execution_time = time.time() - start_time

            tenant_results.append(
                {
                    "tenant_id": scenario["tenant_id"],
                    "results": results,
                    "run_id": run_id,
                    "execution_time": execution_time,
                }
            )

        # Verify all tenants executed successfully
        assert len(tenant_results) == 3, "Not all tenant workflows executed"

        # Verify tenant isolation
        run_ids = [result["run_id"] for result in tenant_results]
        assert len(set(run_ids)) == 3, "Run IDs should be unique for different tenants"

        # Verify tenant-specific compliance nodes
        for result in tenant_results:
            tenant_id = result["tenant_id"]
            results = result["results"]

            # Check for tenant isolation nodes
            tenant_nodes = [
                node_id for node_id in results.keys() if "tenant" in node_id.lower()
            ]
            assert (
                len(tenant_nodes) > 0
            ), f"No tenant isolation nodes found for {tenant_id}"

            # Check for compliance-specific nodes based on requirements
            compliance_found = False
            for node_id in results.keys():
                if any(
                    comp.lower() in node_id.lower()
                    for comp in ["hipaa", "sox", "gdpr", "pci"]
                ):
                    compliance_found = True
                    break

            assert (
                compliance_found
            ), f"No compliance-specific nodes found for {tenant_id}"

        # Verify performance across all tenants
        total_execution_time = sum(
            result["execution_time"] for result in tenant_results
        )
        assert (
            total_execution_time < 10.0
        ), f"Total multi-tenant execution took {total_execution_time:.2f}s"

        # Verify audit trail separation
        audit_trail = framework.get_coordination_audit_trail()
        tenant_audit_counts = {}

        for entry in audit_trail:
            if entry.get("run_id") in run_ids:
                # Find which tenant this audit entry belongs to
                for result in tenant_results:
                    if result["run_id"] == entry.get("run_id"):
                        tenant_id = result["tenant_id"]
                        tenant_audit_counts[tenant_id] = (
                            tenant_audit_counts.get(tenant_id, 0) + 1
                        )

        # Each tenant should have audit entries
        assert (
            len(tenant_audit_counts) >= 3
        ), f"Audit entries found for {len(tenant_audit_counts)} tenants, expected 3"

    def test_cross_tenant_access_violation_detection(self):
        """Test detection and prevention of cross-tenant access violations."""
        import kaizen

        framework = kaizen.Kaizen(
            config={
                "multi_tenant": True,
                "tenant_isolation": "strict",
                "security_level": "high",
                "access_violation_detection": True,
            }
        )

        # Create workflow that attempts cross-tenant access
        violation_config = {
            "tenant_id": "tenant_a",
            "approval_levels": ["technical"],
            "cross_tenant_access": True,  # This should be blocked
            "access_target_tenant": "tenant_b",  # Attempting to access another tenant
            "violation_test": True,
        }

        workflow = framework.create_enterprise_workflow("approval", violation_config)
        built_workflow = workflow.build()

        runtime = LocalRuntime()
        results, run_id = runtime.execute(
            built_workflow, {"violation_test_data": {"tenant": "tenant_a"}}
        )

        # Verify access violation was detected and handled
        violation_nodes = [
            node_id
            for node_id in results.keys()
            if "violation" in node_id.lower() or "access_denied" in node_id.lower()
        ]
        assert len(violation_nodes) > 0, "No access violation detection found"

        # Verify security event was logged
        security_nodes = [
            node_id for node_id in results.keys() if "security" in node_id.lower()
        ]
        assert len(security_nodes) > 0, "No security event nodes found"

        # Verify audit trail contains security incident
        audit_trail = framework.get_coordination_audit_trail()
        security_audits = [
            entry
            for entry in audit_trail
            if entry.get("run_id") == run_id
            and ("security" in str(entry).lower() or "violation" in str(entry).lower())
        ]
        assert len(security_audits) > 0, "No security incident in audit trail"


class TestEnterpriseWorkflowComplianceReportingE2E:
    """Test complete enterprise compliance reporting scenarios."""

    def test_complete_compliance_reporting_scenario(self):
        """Test complete compliance reporting across multiple workflows and regulations."""
        import kaizen

        framework = kaizen.Kaizen(
            config={
                "compliance_mode": "enterprise",
                "audit_trail_enabled": True,
                "multi_tenant": True,
                "security_level": "high",
            }
        )

        # Execute multiple compliance workflows
        compliance_scenarios = [
            {
                "type": "GDPR",
                "config": {
                    "compliance_type": "GDPR",
                    "data_processing_stages": ["consent", "processing", "storage"],
                    "privacy_checks": True,
                },
            },
            {
                "type": "SOX",
                "config": {
                    "compliance_type": "SOX",
                    "financial_controls": ["segregation", "authorization", "audit"],
                    "reporting_requirements": "quarterly",
                },
            },
            {
                "type": "HIPAA",
                "config": {
                    "compliance_type": "HIPAA",
                    "phi_protection": True,
                    "access_controls": "strict",
                    "audit_logs": "detailed",
                },
            },
        ]

        runtime = LocalRuntime()
        compliance_run_ids = []

        # Execute all compliance workflows
        for scenario in compliance_scenarios:
            workflow = framework.create_enterprise_workflow(
                "compliance", scenario["config"]
            )
            built_workflow = workflow.build()

            results, run_id = runtime.execute(
                built_workflow, {"compliance_scenario": scenario}
            )
            compliance_run_ids.append(run_id)

            # Verify workflow executed successfully
            assert (
                results is not None
            ), f"Failed to execute {scenario['type']} compliance workflow"
            assert run_id is not None, f"No run ID for {scenario['type']} workflow"

        # Generate comprehensive compliance report
        compliance_report = framework.generate_compliance_report()

        # Verify comprehensive report structure
        assert compliance_report is not None, "Failed to generate compliance report"
        assert "compliance_status" in compliance_report, "Compliance status missing"
        assert "workflow_count" in compliance_report, "Workflow count missing"
        assert "audit_entries" in compliance_report, "Audit entries missing"

        # Verify regulation-specific sections
        assert (
            "gdpr_compliance" in compliance_report
        ), "GDPR section missing from report"
        assert "sox_compliance" in compliance_report, "SOX section missing from report"
        assert (
            "hipaa_compliance" in compliance_report
        ), "HIPAA section missing from report"

        # Verify audit trail completeness
        audit_trail = framework.get_coordination_audit_trail()
        compliance_audits = [
            entry for entry in audit_trail if entry.get("run_id") in compliance_run_ids
        ]
        assert (
            len(compliance_audits) >= 3
        ), f"Expected at least 3 compliance audit entries, found {len(compliance_audits)}"

        # Verify overall compliance status
        overall_status = compliance_report["compliance_status"]
        assert overall_status in [
            "compliant",
            "non_compliant",
            "pending_review",
        ], f"Invalid compliance status: {overall_status}"

        # Verify workflow metrics
        workflow_count = compliance_report["workflow_count"]
        assert (
            workflow_count >= 3
        ), f"Expected at least 3 workflows in report, found {workflow_count}"


# E2E Test fixtures
@pytest.fixture(scope="module", autouse=True)
def setup_e2e_environment():
    """Setup complete E2E test environment with full enterprise infrastructure."""
    # E2E tests now use the existing Docker infrastructure that's already running
    # This avoids complex test-env setup issues and focuses on actual test functionality
    import psycopg2
    import redis

    # Verify core infrastructure is available (PostgreSQL and Redis)
    try:
        # Check PostgreSQL
        conn = psycopg2.connect(
            host="localhost",
            port=5434,
            database="kailash_test",
            user="test_user",
            password="test_password",
            connect_timeout=5,
        )
        conn.close()

        # Check Redis
        r = redis.Redis(host="localhost", port=6380, db=0)
        r.ping()

        # Infrastructure is available, tests can proceed

    except Exception as e:
        pytest.skip(
            f"Required infrastructure not available: {e}. Please ensure Docker services are running."
        )


if __name__ == "__main__":
    pytest.main([__file__, "-v", "--tb=short", "-s", "--timeout=10"])
