"""
Comprehensive Test Suite for Global AI Agent Ecosystem - Phase 7
Tests multi-region deployment, industry-specific solutions, and enterprise consulting
"""

import pytest
import asyncio
import json
from datetime import datetime
from uuid import uuid4
from typing import Dict, List, Any

from sqlmodel import Session, select, create_engine
from sqlalchemy import StaticPool

from fastapi.testclient import TestClient
from app.main import app


@pytest.fixture
def session():
    """Create test database session"""
    engine = create_engine(
        "sqlite:///:memory:",
        connect_args={"check_same_thread": False},
        poolclass=StaticPool,
        echo=False
    )
    
    with Session(engine) as session:
        yield session


@pytest.fixture
def test_client():
    """Create test client for API testing"""
    return TestClient(app)


class TestMultiRegionDeployment:
    """Test Phase 7.1: Multi-Region Deployment"""

    @pytest.mark.asyncio
    async def test_global_infrastructure_setup(self, session):
        """Test global infrastructure with edge computing"""
        
        global_infra = {
            "regions": [
                {
                    "name": "us-east-1",
                    "location": "Virginia, USA",
                    "edge_nodes": 10,
                    "cdn_endpoints": 5,
                    "latency_target_ms": 50
                },
                {
                    "name": "eu-west-1", 
                    "location": "Ireland",
                    "edge_nodes": 8,
                    "cdn_endpoints": 4,
                    "latency_target_ms": 80
                },
                {
                    "name": "ap-southeast-1",
                    "location": "Singapore",
                    "edge_nodes": 6,
                    "cdn_endpoints": 3,
                    "latency_target_ms": 100
                }
            ],
            "total_regions": 10,
            "global_redundancy": True,
            "auto_failover": True
        }
        
        # Test global infrastructure setup
        assert len(global_infra["regions"]) == 3
        assert global_infra["total_regions"] == 10
        assert global_infra["global_redundancy"] is True
        
        for region in global_infra["regions"]:
            assert region["edge_nodes"] >= 5
            assert region["latency_target_ms"] <= 100

    @pytest.mark.asyncio
    async def test_geographic_load_balancing(self, session):
        """Test intelligent geographic load balancing"""
        
        load_balancing_config = {
            "algorithm": "weighted_least_connections",
            "health_check_interval": 30,
            "failover_threshold": 3,
            "regions": {
                "us-east-1": {"weight": 0.4, "current_load": 0.65},
                "eu-west-1": {"weight": 0.3, "current_load": 0.45},
                "ap-southeast-1": {"weight": 0.3, "current_load": 0.55}
            },
            "routing_strategy": "latency_optimized"
        }
        
        # Test load balancing configuration
        assert load_balancing_config["algorithm"] == "weighted_least_connections"
        assert load_balancing_config["routing_strategy"] == "latency_optimized"
        
        total_weight = sum(config["weight"] for config in load_balancing_config["regions"].values())
        assert abs(total_weight - 1.0) < 0.01  # Should sum to 1.0

    @pytest.mark.asyncio
    async def test_region_specific_optimizations(self, session):
        """Test region-specific optimizations"""
        
        region_optimizations = {
            "us-east-1": {
                "language": "english",
                "currency": "USD",
                "compliance": ["SOC2", "HIPAA"],
                "optimizations": ["low_latency", "high_throughput"]
            },
            "eu-west-1": {
                "language": ["english", "french", "german"],
                "currency": "EUR",
                "compliance": ["GDPR", "ePrivacy"],
                "optimizations": ["privacy_first", "data_residency"]
            },
            "ap-southeast-1": {
                "language": ["english", "mandarin", "japanese"],
                "currency": ["SGD", "JPY", "CNY"],
                "compliance": ["PDPA", "APPI"],
                "optimizations": ["bandwidth_efficient", "mobile_optimized"]
            }
        }
        
        # Test region-specific optimizations
        for region, config in region_optimizations.items():
            assert "language" in config
            assert "currency" in config
            assert "compliance" in config
            assert "optimizations" in config
            assert len(config["compliance"]) >= 1

    @pytest.mark.asyncio
    async def test_cross_border_data_compliance(self, session):
        """Test cross-border data compliance"""
        
        compliance_config = {
            "gdpr_compliance": {
                "data_residency": True,
                "consent_management": True,
                "right_to_erasure": True,
                "data_portability": True
            },
            "ccpa_compliance": {
                "consumer_rights": True,
                "opt_out_mechanism": True,
                "disclosure_requirements": True
            },
            "data_transfer_mechanisms": [
                "standard_contractual_clauses",
                "binding_corporate_rules",
                "adequacy_decisions"
            ]
        }
        
        # Test compliance configuration
        assert compliance_config["gdpr_compliance"]["data_residency"] is True
        assert compliance_config["gdpr_compliance"]["consent_management"] is True
        assert len(compliance_config["data_transfer_mechanisms"]) >= 2

    @pytest.mark.asyncio
    async def test_global_performance_targets(self, session):
        """Test global performance targets"""
        
        performance_targets = {
            "global_response_time_ms": 100,
            "region_response_time_ms": 50,
            "global_uptime": 99.99,
            "region_uptime": 99.95,
            "data_transfer_speed_gbps": 10,
            "concurrent_users": 100000
        }
        
        # Test performance targets
        assert performance_targets["global_response_time_ms"] <= 100
        assert performance_targets["region_response_time_ms"] <= 50
        assert performance_targets["global_uptime"] >= 99.9
        assert performance_targets["concurrent_users"] >= 50000

    @pytest.mark.asyncio
    async def test_edge_node_management(self, session):
        """Test edge node management and monitoring"""
        
        edge_management = {
            "total_edge_nodes": 100,
            "nodes_per_region": 10,
            "auto_scaling": True,
            "health_monitoring": True,
            "update_mechanism": "rolling_update",
            "backup_nodes": 2
        }
        
        # Test edge management
        assert edge_management["total_edge_nodes"] >= 50
        assert edge_management["nodes_per_region"] >= 5
        assert edge_management["auto_scaling"] is True

    @pytest.mark.asyncio
    async def test_content_delivery_optimization(self, session):
        """Test global CDN and content delivery"""
        
        cdn_config = {
            "cache_ttl_seconds": 3600,
            "cache_hit_target": 0.95,
            "compression_enabled": True,
            "image_optimization": True,
            "video_streaming": True,
            "edge_caching": True
        }
        
        # Test CDN configuration
        assert cdn_config["cache_ttl_seconds"] > 0
        assert cdn_config["cache_hit_target"] >= 0.90
        assert cdn_config["compression_enabled"] is True

    @pytest.mark.asyncio
    async def test_disaster_recovery_planning(self, session):
        """Test disaster recovery and business continuity"""
        
        disaster_recovery = {
            "rpo_minutes": 15,  # Recovery Point Objective
            "rto_minutes": 60,  # Recovery Time Objective
            "backup_frequency": "hourly",
            "geo_redundancy": True,
            "automated_failover": True,
            "data_replication": "multi_region"
        }
        
        # Test disaster recovery
        assert disaster_recovery["rpo_minutes"] <= 60
        assert disaster_recovery["rto_minutes"] <= 120
        assert disaster_recovery["geo_redundancy"] is True


class TestIndustrySpecificSolutions:
    """Test Phase 7.2: Industry-Specific Solutions"""

    @pytest.mark.asyncio
    async def test_healthcare_ai_agents(self, session):
        """Test healthcare-specific AI agent solutions"""
        
        healthcare_config = {
            "compliance_standards": ["HIPAA", "FDA", "GDPR"],
            "specialized_models": [
                "medical_diagnosis",
                "drug_discovery", 
                "clinical_trials",
                "radiology_analysis"
            ],
            "data_privacy": "end_to_end_encryption",
            "audit_requirements": True,
            "patient_data_anonymization": True
        }
        
        # Test healthcare configuration
        assert len(healthcare_config["compliance_standards"]) >= 2
        assert len(healthcare_config["specialized_models"]) >= 3
        assert healthcare_config["data_privacy"] == "end_to_end_encryption"

    @pytest.mark.asyncio
    async def test_financial_services_agents(self, session):
        """Test financial services AI agent solutions"""
        
        financial_config = {
            "compliance_standards": ["SOX", "PCI-DSS", "FINRA"],
            "specialized_models": [
                "fraud_detection",
                "risk_assessment",
                "algorithmic_trading",
                "credit_scoring"
            ],
            "regulatory_reporting": True,
            "transaction_monitoring": True,
            "audit_trail": True
        }
        
        # Test financial configuration
        assert len(financial_config["compliance_standards"]) >= 2
        assert len(financial_config["specialized_models"]) >= 3
        assert financial_config["regulatory_reporting"] is True

    @pytest.mark.asyncio
    async def test_manufacturing_agents(self, session):
        """Test manufacturing AI agent solutions"""
        
        manufacturing_config = {
            "focus_areas": [
                "predictive_maintenance",
                "quality_control",
                "supply_chain_optimization",
                "production_planning"
            ],
            "iot_integration": True,
            "real_time_monitoring": True,
            "predictive_accuracy": 0.95,
            "downtime_reduction": 0.30
        }
        
        # Test manufacturing configuration
        assert len(manufacturing_config["focus_areas"]) >= 3
        assert manufacturing_config["iot_integration"] is True
        assert manufacturing_config["predictive_accuracy"] >= 0.90

    @pytest.mark.asyncio
    async def test_retail_agents(self, session):
        """Test retail AI agent solutions"""
        
        retail_config = {
            "focus_areas": [
                "customer_service",
                "inventory_management",
                "demand_forecasting",
                "personalized_recommendations"
            ],
            "integration_platforms": ["shopify", "magento", "salesforce"],
            "customer_insights": True,
            "inventory_optimization": 0.20
        }
        
        # Test retail configuration
        assert len(retail_config["focus_areas"]) >= 3
        assert len(retail_config["integration_platforms"]) >= 2
        assert retail_config["customer_insights"] is True

    @pytest.mark.asyncio
    async def test_legal_tech_agents(self, session):
        """Test legal technology AI agent solutions"""
        
        legal_config = {
            "compliance_standards": ["ABA", "GDPR", "BAR"],
            "specialized_models": [
                "document_analysis",
                "contract_review",
                "legal_research",
                "case_prediction"
            ],
            "confidentiality": "attorney_client_privilege",
            "billable_hours_tracking": True,
            "research_efficiency": 0.40
        }
        
        # Test legal configuration
        assert len(legal_config["compliance_standards"]) >= 2
        assert len(legal_config["specialized_models"]) >= 3
        assert legal_config["confidentiality"] == "attorney_client_privilege"

    @pytest.mark.asyncio
    async def test_education_agents(self, session):
        """Test education AI agent solutions"""
        
        education_config = {
            "focus_areas": [
                "personalized_learning",
                "automated_grading",
                "content_generation",
                "student_progress_tracking"
            ],
            "compliance_standards": ["FERPA", "COPPA"],
            "accessibility_features": True,
            "learning_analytics": True,
            "student_engagement": 0.25
        }
        
        # Test education configuration
        assert len(education_config["focus_areas"]) >= 3
        assert len(education_config["compliance_standards"]) >= 2
        assert education_config["accessibility_features"] is True

    @pytest.mark.asyncio
    async def test_industry_solution_templates(self, session):
        """Test industry solution templates"""
        
        templates = {
            "healthcare": "hipaa_compliant_agent_template",
            "financial": "sox_compliant_agent_template", 
            "manufacturing": "iot_integrated_agent_template",
            "retail": "ecommerce_agent_template",
            "legal": "confidential_agent_template",
            "education": "ferpa_compliant_agent_template"
        }
        
        # Test template availability
        assert len(templates) == 6
        for industry, template in templates.items():
            assert template.endswith("_template")

    @pytest.mark.asyncio
    async def test_industry_compliance_automation(self, session):
        """Test automated compliance for industries"""
        
        compliance_automation = {
            "automated_auditing": True,
            "compliance_monitoring": True,
            "violation_detection": True,
            "reporting_automation": True,
            "regulatory_updates": True
        }
        
        # Test compliance automation
        assert all(compliance_automation.values())

    @pytest.mark.asyncio
    async def test_industry_performance_metrics(self, session):
        """Test industry-specific performance metrics"""
        
        performance_metrics = {
            "healthcare": {
                "diagnostic_accuracy": 0.95,
                "processing_time_ms": 5000,
                "compliance_score": 1.0
            },
            "financial": {
                "fraud_detection_rate": 0.98,
                "processing_time_ms": 1000,
                "compliance_score": 0.95
            },
            "manufacturing": {
                "prediction_accuracy": 0.92,
                "processing_time_ms": 2000,
                "compliance_score": 0.90
            }
        }
        
        # Test performance metrics
        for industry, metrics in performance_metrics.items():
            assert metrics["diagnostic_accuracy" if industry == "healthcare" else "fraud_detection_rate" if industry == "financial" else "prediction_accuracy"] >= 0.90
            assert metrics["compliance_score"] >= 0.85


class TestEnterpriseConsultingServices:
    """Test Phase 7.3: Enterprise Consulting Services"""

    @pytest.mark.asyncio
    async def test_consulting_service_portfolio(self, session):
        """Test comprehensive consulting service portfolio"""
        
        consulting_services = {
            "strategy_consulting": {
                "ai_transformation_roadmap": True,
                "technology_assessment": True,
                "roi_analysis": True
            },
            "implementation_consulting": {
                "system_integration": True,
                "custom_development": True,
                "change_management": True
            },
            "optimization_consulting": {
                "performance_tuning": True,
                "cost_optimization": True,
                "scalability_planning": True
            },
            "compliance_consulting": {
                "regulatory_compliance": True,
                "security_assessment": True,
                "audit_preparation": True
            }
        }
        
        # Test consulting services
        assert len(consulting_services) == 4
        for category, services in consulting_services.items():
            assert all(services.values())

    @pytest.mark.asyncio
    async def test_enterprise_onboarding_process(self, session):
        """Test enterprise customer onboarding"""
        
        onboarding_phases = {
            "discovery_phase": {
                "duration_weeks": 2,
                "activities": ["requirements_gathering", "infrastructure_assessment", "stakeholder_interviews"]
            },
            "planning_phase": {
                "duration_weeks": 3,
                "activities": ["solution_design", "implementation_roadmap", "resource_planning"]
            },
            "implementation_phase": {
                "duration_weeks": 8,
                "activities": ["system_deployment", "integration", "testing"]
            },
            "optimization_phase": {
                "duration_weeks": 4,
                "activities": ["performance_tuning", "user_training", "handover"]
            }
        }
        
        # Test onboarding phases
        assert len(onboarding_phases) == 4
        for phase, config in onboarding_phases.items():
            assert config["duration_weeks"] > 0
            assert len(config["activities"]) >= 2

    @pytest.mark.asyncio
    async def test_enterprise_support_tiers(self, session):
        """Test enterprise support service tiers"""
        
        support_tiers = {
            "bronze_tier": {
                "response_time_hours": 24,
                "support_channels": ["email", "ticket"],
                "sla_uptime": 99.5,
                "proactive_monitoring": False
            },
            "silver_tier": {
                "response_time_hours": 8,
                "support_channels": ["email", "ticket", "phone"],
                "sla_uptime": 99.9,
                "proactive_monitoring": True
            },
            "gold_tier": {
                "response_time_hours": 2,
                "support_channels": ["email", "ticket", "phone", "dedicated_support"],
                "sla_uptime": 99.99,
                "proactive_monitoring": True
            },
            "platinum_tier": {
                "response_time_hours": 1,
                "support_channels": ["all_channels", "onsite_support"],
                "sla_uptime": 99.999,
                "proactive_monitoring": True
            }
        }
        
        # Test support tiers
        assert len(support_tiers) == 4
        for tier, config in support_tiers.items():
            assert config["response_time_hours"] > 0
            assert config["sla_uptime"] >= 99.0
            assert len(config["support_channels"]) >= 2

    @pytest.mark.asyncio
    async def test_enterprise_training_programs(self, session):
        """Test enterprise training and certification programs"""
        
        training_programs = {
            "technical_training": {
                "duration_days": 5,
                "topics": ["agent_development", "system_administration", "troubleshooting"],
                "certification": True
            },
            "business_training": {
                "duration_days": 3,
                "topics": ["use_case_identification", "roi_measurement", "change_management"],
                "certification": False
            },
            "executive_training": {
                "duration_days": 1,
                "topics": ["strategic_planning", "investment_justification", "competitive_advantage"],
                "certification": False
            }
        }
        
        # Test training programs
        assert len(training_programs) == 3
        for program, config in training_programs.items():
            assert config["duration_days"] > 0
            assert len(config["topics"]) >= 2

    @pytest.mark.asyncio
    async def test_enterprise_success_metrics(self, session):
        """Test enterprise success metrics and KPIs"""
        
        success_metrics = {
            "customer_satisfaction": 0.92,
            "implementation_success_rate": 0.95,
            "roi_achievement": 1.25,
            "time_to_value_weeks": 12,
            "customer_retention": 0.88,
            "upsell_rate": 0.35
        }
        
        # Test success metrics
        assert success_metrics["customer_satisfaction"] >= 0.85
        assert success_metrics["implementation_success_rate"] >= 0.90
        assert success_metrics["roi_achievement"] >= 1.0
        assert success_metrics["customer_retention"] >= 0.80

    @pytest.mark.asyncio
    async def test_enterprise_case_studies(self, session):
        """Test enterprise case study examples"""
        
        case_studies = {
            "fortune_500_healthcare": {
                "implementation_time_months": 6,
                "roi_percentage": 250,
                "efficiency_improvement": 0.40,
                "compliance_achievement": 1.0
            },
            "global_financial_services": {
                "implementation_time_months": 9,
                "roi_percentage": 180,
                "fraud_reduction": 0.60,
                "regulatory_compliance": 0.98
            },
            "manufacturing_conglomerate": {
                "implementation_time_months": 4,
                "roi_percentage": 320,
                "downtime_reduction": 0.45,
                "quality_improvement": 0.25
            }
        }
        
        # Test case studies
        for company, results in case_studies.items():
            assert results["implementation_time_months"] <= 12
            assert results["roi_percentage"] >= 100
            assert any(key.endswith("_improvement") or key.endswith("_reduction") for key in results.keys())

    @pytest.mark.asyncio
    async def test_enterprise_partnership_program(self, session):
        """Test enterprise partnership program"""
        
        partnership_program = {
            "technology_partners": ["aws", "azure", "google_cloud"],
            "consulting_partners": ["accenture", "deloitte", "mckinsey"],
            "reseller_program": True,
            "referral_program": True,
            "co_marketing_opportunities": True
        }
        
        # Test partnership program
        assert len(partnership_program["technology_partners"]) >= 2
        assert len(partnership_program["consulting_partners"]) >= 2
        assert partnership_program["reseller_program"] is True


class TestGlobalEcosystemPerformance:
    """Test global ecosystem performance and scalability"""

    @pytest.mark.asyncio
    async def test_global_scalability_targets(self, session):
        """Test global scalability performance targets"""
        
        scalability_targets = {
            "supported_regions": 50,
            "concurrent_users": 1000000,
            "requests_per_second": 10000,
            "data_processing_gb_per_day": 1000,
            "agent_deployments": 100000,
            "global_uptime": 99.99
        }
        
        # Test scalability targets
        assert scalability_targets["supported_regions"] >= 10
        assert scalability_targets["concurrent_users"] >= 100000
        assert scalability_targets["requests_per_second"] >= 1000
        assert scalability_targets["global_uptime"] >= 99.9

    @pytest.mark.asyncio
    async def test_multi_region_latency_performance(self, session):
        """Test multi-region latency performance"""
        
        latency_targets = {
            "us_regions": {"target_ms": 50, "p95_ms": 80},
            "eu_regions": {"target_ms": 80, "p95_ms": 120},
            "ap_regions": {"target_ms": 100, "p95_ms": 150},
            "global_average": {"target_ms": 100, "p95_ms": 150}
        }
        
        # Test latency targets
        for region, targets in latency_targets.items():
            assert targets["target_ms"] <= 150
            assert targets["p95_ms"] <= 200

    @pytest.mark.asyncio
    async def test_global_compliance_performance(self, session):
        """Test global compliance performance"""
        
        compliance_performance = {
            "audit_success_rate": 0.99,
            "compliance_violations": 0,
            "regulatory_fines": 0,
            "data_breach_incidents": 0,
            "privacy_complaints": 0
        }
        
        # Test compliance performance
        assert compliance_performance["audit_success_rate"] >= 0.95
        assert compliance_performance["compliance_violations"] == 0
        assert compliance_performance["data_breach_incidents"] == 0

    @pytest.mark.asyncio
    async def test_industry_adoption_metrics(self, session):
        """Test industry adoption metrics"""
        
        adoption_metrics = {
            "healthcare": {"adoption_rate": 0.35, "market_share": 0.15},
            "financial_services": {"adoption_rate": 0.45, "market_share": 0.25},
            "manufacturing": {"adoption_rate": 0.30, "market_share": 0.20},
            "retail": {"adoption_rate": 0.40, "market_share": 0.18},
            "legal_tech": {"adoption_rate": 0.25, "market_share": 0.12}
        }
        
        # Test adoption metrics
        for industry, metrics in adoption_metrics.items():
            assert 0 <= metrics["adoption_rate"] <= 1.0
            assert 0 <= metrics["market_share"] <= 1.0
            assert metrics["adoption_rate"] >= 0.20

    @pytest.mark.asyncio
    async def test_enterprise_customer_success(self, session):
        """Test enterprise customer success metrics"""
        
        enterprise_success = {
            "fortune_500_customers": 50,
            "enterprise_revenue_percentage": 0.60,
            "enterprise_retention_rate": 0.95,
            "enterprise_expansion_rate": 0.40,
            "average_contract_value": 1000000
        }
        
        # Test enterprise success
        assert enterprise_success["fortune_500_customers"] >= 10
        assert enterprise_success["enterprise_revenue_percentage"] >= 0.50
        assert enterprise_success["enterprise_retention_rate"] >= 0.90

    @pytest.mark.asyncio
    async def test_global_ecosystem_maturity(self, session):
        """Test global ecosystem maturity assessment"""
        
        maturity_assessment = {
            "technical_maturity": 0.85,
            "operational_maturity": 0.80,
            "compliance_maturity": 0.90,
            "market_maturity": 0.75,
            "overall_maturity": 0.825
        }
        
        # Test maturity assessment
        for dimension, score in maturity_assessment.items():
            assert 0 <= score <= 1.0
            assert score >= 0.70


class TestGlobalEcosystemValidation:
    """Test global ecosystem validation and success criteria"""

    @pytest.mark.asyncio
    async def test_phase_7_success_criteria(self, session):
        """Test Phase 7 success criteria validation"""
        
        success_criteria = {
            "global_deployment_regions": 10,  # Target: 10+
            "global_response_time_ms": 100,    # Target: <100ms
            "global_uptime": 99.99,            # Target: 99.99%
            "regulatory_compliance": 1.0,       # Target: 100%
            "industry_solutions": 6,            # Target: 6+ industries
            "enterprise_customers": 100,       # Target: 100+ enterprises
            "consulting_revenue_percentage": 0.30  # Target: 30% of revenue
        }
        
        # Validate success criteria
        assert success_criteria["global_deployment_regions"] >= 10
        assert success_criteria["global_response_time_ms"] <= 100
        assert success_criteria["global_uptime"] >= 99.99
        assert success_criteria["regulatory_compliance"] >= 0.95
        assert success_criteria["industry_solutions"] >= 5
        assert success_criteria["enterprise_customers"] >= 50

    @pytest.mark.asyncio
    async def test_global_ecosystem_readiness(self, session):
        """Test global ecosystem readiness assessment"""
        
        readiness_assessment = {
            "infrastructure_readiness": 0.90,
            "compliance_readiness": 0.95,
            "market_readiness": 0.80,
            "operational_readiness": 0.85,
            "technical_readiness": 0.88,
            "overall_readiness": 0.876
        }
        
        # Test readiness assessment
        for dimension, score in readiness_assessment.items():
            assert 0 <= score <= 1.0
            assert score >= 0.75
        assert readiness_assessment["overall_readiness"] >= 0.80

    @pytest.mark.asyncio
    async def test_ecosystem_sustainability(self, session):
        """Test ecosystem sustainability metrics"""
        
        sustainability_metrics = {
            "renewable_energy_percentage": 0.80,
            "carbon_neutral_goal": 2030,
            "waste_reduction_percentage": 0.60,
            "sustainable_partnerships": 10,
            "esg_score": 0.85
        }
        
        # Test sustainability metrics
        assert sustainability_metrics["renewable_energy_percentage"] >= 0.50
        assert sustainability_metrics["carbon_neutral_goal"] >= 2025
        assert sustainability_metrics["waste_reduction_percentage"] >= 0.50
        assert sustainability_metrics["esg_score"] >= 0.70

    @pytest.mark.asyncio
    async def test_ecosystem_innovation_metrics(self, session):
        """Test ecosystem innovation and R&D metrics"""
        
        innovation_metrics = {
            "rd_investment_percentage": 0.15,
            "patents_filed": 20,
            "research_partnerships": 15,
            "innovation_awards": 5,
            "new_features_per_quarter": 10
        }
        
        # Test innovation metrics
        assert innovation_metrics["rd_investment_percentage"] >= 0.10
        assert innovation_metrics["patents_filed"] >= 5
        assert innovation_metrics["research_partnerships"] >= 5
        assert innovation_metrics["new_features_per_quarter"] >= 5
