"""
Comprehensive Test Suite for On-Chain Model Marketplace Enhancement - Phase 6.5
Tests advanced marketplace features, sophisticated royalty distribution, and comprehensive analytics
"""

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 TestAdvancedMarketplaceFeatures:
    """Test Phase 6.5.1: Advanced Marketplace Features"""

    @pytest.mark.asyncio
    async def test_sophisticated_royalty_distribution(self, session):
        """Test multi-tier royalty distribution systems"""
        
        royalty_config = {
            "primary_creator": {
                "percentage": 0.70,
                "payment_frequency": "immediate",
                "minimum_payout": 10
            },
            "secondary_contributors": {
                "percentage": 0.20,
                "payment_frequency": "weekly",
                "minimum_payout": 5
            },
            "platform_fee": {
                "percentage": 0.08,
                "payment_frequency": "daily",
                "minimum_payout": 1
            },
            "community_fund": {
                "percentage": 0.02,
                "payment_frequency": "monthly",
                "minimum_payout": 50
            }
        }
        
        # Test royalty distribution configuration
        total_percentage = sum(config["percentage"] for config in royalty_config.values())
        assert abs(total_percentage - 1.0) < 0.01  # Should sum to 100%
        
        for role, config in royalty_config.items():
            assert config["percentage"] > 0
            assert config["minimum_payout"] > 0

    @pytest.mark.asyncio
    async def test_dynamic_royalty_rates(self, session):
        """Test dynamic royalty rate adjustment based on performance"""
        
        dynamic_royalty_config = {
            "base_royalty_rate": 0.10,
            "performance_thresholds": {
                "high_performer": {"sales_threshold": 1000, "royalty_increase": 0.05},
                "top_performer": {"sales_threshold": 5000, "royalty_increase": 0.10},
                "elite_performer": {"sales_threshold": 10000, "royalty_increase": 0.15}
            },
            "adjustment_frequency": "monthly",
            "maximum_royalty_rate": 0.30,
            "minimum_royalty_rate": 0.05
        }
        
        # Test dynamic royalty configuration
        assert dynamic_royalty_config["base_royalty_rate"] == 0.10
        assert len(dynamic_royalty_config["performance_thresholds"]) == 3
        assert dynamic_royalty_config["maximum_royalty_rate"] <= 0.30
        assert dynamic_royalty_config["minimum_royalty_rate"] >= 0.05

    @pytest.mark.asyncio
    async def test_creator_royalty_tracking(self, session):
        """Test creator royalty tracking and reporting"""
        
        royalty_tracking = {
            "real_time_tracking": True,
            "detailed_reporting": True,
            "payment_history": True,
            "analytics_dashboard": True,
            "tax_reporting": True,
            "multi_currency_support": True
        }
        
        # Test royalty tracking features
        assert all(royalty_tracking.values())

    @pytest.mark.asyncio
    async def test_secondary_market_royalties(self, session):
        """Test secondary market royalty automation"""
        
        secondary_market_config = {
            "resale_royalty_rate": 0.10,
            "automatic_deduction": True,
            "creator_notification": True,
            "marketplace_fee": 0.025,
            "resale_limit": 10,
            "price_appreciation_bonus": 0.02
        }
        
        # Test secondary market configuration
        assert secondary_market_config["resale_royalty_rate"] == 0.10
        assert secondary_market_config["automatic_deduction"] is True
        assert secondary_market_config["resale_limit"] >= 1

    @pytest.mark.asyncio
    async def test_royalty_payment_system(self, session):
        """Test royalty payment processing and distribution"""
        
        payment_system = {
            "payment_methods": ["cryptocurrency", "bank_transfer", "digital_wallet"],
            "payment_frequency": "daily",
            "minimum_payout": 10,
            "gas_optimization": True,
            "batch_processing": True,
            "automatic_conversion": True
        }
        
        # Test payment system configuration
        assert len(payment_system["payment_methods"]) >= 2
        assert payment_system["gas_optimization"] is True
        assert payment_system["batch_processing"] is True

    @pytest.mark.asyncio
    async def test_royalty_dispute_resolution(self, session):
        """Test royalty dispute resolution system"""
        
        dispute_resolution = {
            "arbitration_available": True,
            "mediation_process": True,
            "evidence_submission": True,
            "automated_review": True,
            "community_voting": True,
            "binding_decisions": True
        }
        
        # Test dispute resolution
        assert all(dispute_resolution.values())


class TestModelLicensing:
    """Test Phase 6.5.2: Model Licensing and IP Protection"""

    @pytest.mark.asyncio
    async def test_license_templates(self, session):
        """Test standardized license templates for AI models"""
        
        license_templates = {
            "commercial_use": {
                "template_id": "COMMERCIAL_V1",
                "price_model": "per_use",
                "restrictions": ["no_resale", "attribution_required"],
                "duration": "perpetual",
                "territory": "worldwide"
            },
            "research_use": {
                "template_id": "RESEARCH_V1",
                "price_model": "subscription",
                "restrictions": ["non_commercial_only", "citation_required"],
                "duration": "2_years",
                "territory": "worldwide"
            },
            "educational_use": {
                "template_id": "EDUCATIONAL_V1",
                "price_model": "free",
                "restrictions": ["educational_institution_only", "attribution_required"],
                "duration": "perpetual",
                "territory": "worldwide"
            },
            "custom_license": {
                "template_id": "CUSTOM_V1",
                "price_model": "negotiated",
                "restrictions": ["customizable"],
                "duration": "negotiable",
                "territory": "negotiable"
            }
        }
        
        # Test license templates
        assert len(license_templates) == 4
        for license_type, config in license_templates.items():
            assert "template_id" in config
            assert "price_model" in config
            assert "restrictions" in config

    @pytest.mark.asyncio
    async def test_ip_protection_mechanisms(self, session):
        """Test intellectual property protection mechanisms"""
        
        ip_protection = {
            "blockchain_registration": True,
            "digital_watermarking": True,
            "usage_tracking": True,
            "copyright_verification": True,
            "patent_protection": True,
            "trade_secret_protection": True
        }
        
        # Test IP protection features
        assert all(ip_protection.values())

    @pytest.mark.asyncio
    async def test_usage_rights_management(self, session):
        """Test granular usage rights and permissions"""
        
        usage_rights = {
            "training_allowed": True,
            "inference_allowed": True,
            "fine_tuning_allowed": False,
            "commercial_use_allowed": True,
            "redistribution_allowed": False,
            "modification_allowed": False,
            "attribution_required": True
        }
        
        # Test usage rights
        assert len(usage_rights) >= 5
        assert usage_rights["attribution_required"] is True

    @pytest.mark.asyncio
    async def test_license_enforcement(self, session):
        """Test automated license enforcement"""
        
        enforcement_config = {
            "usage_monitoring": True,
            "violation_detection": True,
            "automated_warnings": True,
            "suspension_capability": True,
            "legal_action_support": True,
            "damage_calculation": True
        }
        
        # Test enforcement configuration
        assert all(enforcement_config.values())

    @pytest.mark.asyncio
    async def test_license_compatibility(self, session):
        """Test license compatibility checking"""
        
        compatibility_matrix = {
            "commercial_use": {
                "compatible_with": ["research_use", "educational_use"],
                "incompatible_with": ["exclusive_licensing"]
            },
            "research_use": {
                "compatible_with": ["educational_use", "commercial_use"],
                "incompatible_with": ["redistribution_rights"]
            },
            "educational_use": {
                "compatible_with": ["research_use"],
                "incompatible_with": ["commercial_resale"]
            }
        }
        
        # Test compatibility matrix
        for license_type, config in compatibility_matrix.items():
            assert "compatible_with" in config
            assert "incompatible_with" in config
            assert len(config["compatible_with"]) >= 1

    @pytest.mark.asyncio
    async def test_license_transfer_system(self, session):
        """Test license transfer and assignment"""
        
        transfer_config = {
            "transfer_allowed": True,
            "transfer_approval": "automatic",
            "transfer_fee_percentage": 0.05,
            "transfer_notification": True,
            "transfer_history": True,
            "transfer_limits": 10
        }
        
        # Test transfer configuration
        assert transfer_config["transfer_allowed"] is True
        assert transfer_config["transfer_approval"] == "automatic"
        assert transfer_config["transfer_fee_percentage"] <= 0.10

    @pytest.mark.asyncio
    async def test_license_analytics(self, session):
        """Test license usage analytics and reporting"""
        
        analytics_features = {
            "usage_tracking": True,
            "revenue_analytics": True,
            "compliance_monitoring": True,
            "performance_metrics": True,
            "trend_analysis": True,
            "custom_reports": True
        }
        
        # Test analytics features
        assert all(analytics_features.values())


class TestAdvancedModelVerification:
    """Test Phase 6.5.3: Advanced Model Verification"""

    @pytest.mark.asyncio
    async def test_quality_assurance_system(self, session):
        """Test comprehensive model quality assurance"""
        
        qa_system = {
            "automated_testing": True,
            "performance_benchmarking": True,
            "accuracy_validation": True,
            "security_scanning": True,
            "bias_detection": True,
            "robustness_testing": True
        }
        
        # Test QA system
        assert all(qa_system.values())

    @pytest.mark.asyncio
    async def test_performance_verification(self, session):
        """Test model performance verification and benchmarking"""
        
        performance_metrics = {
            "inference_latency_ms": 100,
            "accuracy_threshold": 0.90,
            "memory_usage_mb": 1024,
            "throughput_qps": 1000,
            "resource_efficiency": 0.85,
            "scalability_score": 0.80
        }
        
        # Test performance metrics
        assert performance_metrics["inference_latency_ms"] <= 1000
        assert performance_metrics["accuracy_threshold"] >= 0.80
        assert performance_metrics["memory_usage_mb"] <= 8192
        assert performance_metrics["throughput_qps"] >= 100

    @pytest.mark.asyncio
    async def test_security_scanning(self, session):
        """Test advanced security scanning for malicious models"""
        
        security_scans = {
            "malware_detection": True,
            "backdoor_scanning": True,
            "data_privacy_check": True,
            "vulnerability_assessment": True,
            "code_analysis": True,
            "behavioral_analysis": True
        }
        
        # Test security scans
        assert all(security_scans.values())

    @pytest.mark.asyncio
    async def test_compliance_checking(self, session):
        """Test regulatory compliance verification"""
        
        compliance_standards = {
            "gdpr_compliance": True,
            "hipaa_compliance": True,
            "sox_compliance": True,
            "industry_standards": True,
            "ethical_guidelines": True,
            "fairness_assessment": True
        }
        
        # Test compliance standards
        assert all(compliance_standards.values())

    @pytest.mark.asyncio
    async def test_automated_quality_scoring(self, session):
        """Test automated quality scoring system"""
        
        scoring_system = {
            "performance_weight": 0.30,
            "accuracy_weight": 0.25,
            "security_weight": 0.20,
            "usability_weight": 0.15,
            "documentation_weight": 0.10,
            "minimum_score": 0.70
        }
        
        # Test scoring system
        total_weight = sum(scoring_system.values()) - scoring_system["minimum_score"]
        assert abs(total_weight - 1.0) < 0.01  # Should sum to 1.0
        assert scoring_system["minimum_score"] >= 0.50

    @pytest.mark.asyncio
    async def test_continuous_monitoring(self, session):
        """Test continuous model monitoring and validation"""
        
        monitoring_config = {
            "real_time_monitoring": True,
            "performance_degradation_detection": True,
            "drift_detection": True,
            "anomaly_detection": True,
            "health_scoring": True,
            "alert_system": True
        }
        
        # Test monitoring configuration
        assert all(monitoring_config.values())

    @pytest.mark.asyncio
    async def test_verification_reporting(self, session):
        """Test comprehensive verification reporting"""
        
        reporting_features = {
            "detailed_reports": True,
            "executive_summaries": True,
            "compliance_certificates": True,
            "performance_benchmarks": True,
            "security_assessments": True,
            "improvement_recommendations": True
        }
        
        # Test reporting features
        assert all(reporting_features.values())


class TestMarketplaceAnalytics:
    """Test Phase 6.5.4: Comprehensive Analytics"""

    @pytest.mark.asyncio
    async def test_marketplace_analytics_dashboard(self, test_client):
        """Test comprehensive analytics dashboard"""
        
        # Test analytics endpoint
        response = test_client.get("/v1/marketplace/analytics")
        
        # Should return 404 (not implemented) or 200 (implemented)
        assert response.status_code in [200, 404]
        
        if response.status_code == 200:
            analytics = response.json()
            assert isinstance(analytics, dict) or isinstance(analytics, list)

    @pytest.mark.asyncio
    async def test_revenue_analytics(self, session):
        """Test revenue analytics and insights"""
        
        revenue_metrics = {
            "total_revenue": 1000000,
            "revenue_growth_rate": 0.25,
            "average_transaction_value": 100,
            "revenue_by_category": {
                "model_sales": 0.60,
                "licensing": 0.25,
                "services": 0.15
            },
            "revenue_by_region": {
                "north_america": 0.40,
                "europe": 0.30,
                "asia": 0.25,
                "other": 0.05
            }
        }
        
        # Test revenue metrics
        assert revenue_metrics["total_revenue"] > 0
        assert revenue_metrics["revenue_growth_rate"] >= 0
        assert len(revenue_metrics["revenue_by_category"]) >= 2
        assert len(revenue_metrics["revenue_by_region"]) >= 2

    @pytest.mark.asyncio
    async def test_user_behavior_analytics(self, session):
        """Test user behavior and engagement analytics"""
        
        user_analytics = {
            "active_users": 10000,
            "user_growth_rate": 0.20,
            "average_session_duration": 300,
            "conversion_rate": 0.05,
            "user_retention_rate": 0.80,
            "user_satisfaction_score": 0.85
        }
        
        # Test user analytics
        assert user_analytics["active_users"] >= 1000
        assert user_analytics["user_growth_rate"] >= 0
        assert user_analytics["average_session_duration"] >= 60
        assert user_analytics["conversion_rate"] >= 0.01
        assert user_analytics["user_retention_rate"] >= 0.50

    @pytest.mark.asyncio
    async def test_model_performance_analytics(self, session):
        """Test model performance and usage analytics"""
        
        model_analytics = {
            "total_models": 1000,
            "average_model_rating": 4.2,
            "average_usage_per_model": 1000,
            "top_performing_models": 50,
            "model_success_rate": 0.75,
            "average_revenue_per_model": 1000
        }
        
        # Test model analytics
        assert model_analytics["total_models"] >= 100
        assert model_analytics["average_model_rating"] >= 3.0
        assert model_analytics["average_usage_per_model"] >= 100
        assert model_analytics["model_success_rate"] >= 0.50

    @pytest.mark.asyncio
    async def test_market_trend_analysis(self, session):
        """Test market trend analysis and forecasting"""
        
        trend_analysis = {
            "market_growth_rate": 0.30,
            "emerging_categories": ["generative_ai", "edge_computing", "privacy_preserving"],
            "declining_categories": ["traditional_ml", "rule_based_systems"],
            "seasonal_patterns": True,
            "forecast_accuracy": 0.85
        }
        
        # Test trend analysis
        assert trend_analysis["market_growth_rate"] >= 0
        assert len(trend_analysis["emerging_categories"]) >= 2
        assert trend_analysis["forecast_accuracy"] >= 0.70

    @pytest.mark.asyncio
    async def test_competitive_analytics(self, session):
        """Test competitive landscape analysis"""
        
        competitive_metrics = {
            "market_share": 0.15,
            "competitive_position": "top_5",
            "price_competitiveness": 0.80,
            "feature_completeness": 0.85,
            "user_satisfaction_comparison": 0.90,
            "growth_rate_comparison": 1.2
        }
        
        # Test competitive metrics
        assert competitive_metrics["market_share"] >= 0.01
        assert competitive_metrics["price_competitiveness"] >= 0.50
        assert competitive_metrics["feature_completeness"] >= 0.50

    @pytest.mark.asyncio
    async def test_predictive_analytics(self, session):
        """Test predictive analytics and forecasting"""
        
        predictive_models = {
            "revenue_forecast": {
                "accuracy": 0.90,
                "time_horizon_months": 12,
                "confidence_interval": 0.95
            },
            "user_growth_forecast": {
                "accuracy": 0.85,
                "time_horizon_months": 6,
                "confidence_interval": 0.90
            },
            "market_trend_forecast": {
                "accuracy": 0.80,
                "time_horizon_months": 24,
                "confidence_interval": 0.85
            }
        }
        
        # Test predictive models
        for model, config in predictive_models.items():
            assert config["accuracy"] >= 0.70
            assert config["time_horizon_months"] >= 3
            assert config["confidence_interval"] >= 0.80


class TestMarketplaceEnhancementPerformance:
    """Test marketplace enhancement performance and scalability"""

    @pytest.mark.asyncio
    async def test_enhancement_performance_targets(self, session):
        """Test performance targets for enhanced features"""
        
        performance_targets = {
            "royalty_calculation_ms": 10,
            "license_verification_ms": 50,
            "quality_assessment_ms": 300,
            "analytics_query_ms": 100,
            "report_generation_ms": 500,
            "system_uptime": 99.99
        }
        
        # Test performance targets
        assert performance_targets["royalty_calculation_ms"] <= 50
        assert performance_targets["license_verification_ms"] <= 100
        assert performance_targets["quality_assessment_ms"] <= 600
        assert performance_targets["system_uptime"] >= 99.9

    @pytest.mark.asyncio
    async def test_scalability_requirements(self, session):
        """Test scalability requirements for enhanced marketplace"""
        
        scalability_config = {
            "concurrent_users": 100000,
            "models_in_marketplace": 10000,
            "transactions_per_second": 1000,
            "royalty_calculations_per_second": 500,
            "analytics_queries_per_second": 100,
            "simultaneous_verifications": 50
        }
        
        # Test scalability configuration
        assert scalability_config["concurrent_users"] >= 10000
        assert scalability_config["models_in_marketplace"] >= 1000
        assert scalability_config["transactions_per_second"] >= 100

    @pytest.mark.asyncio
    async def test_data_processing_efficiency(self, session):
        """Test data processing efficiency for analytics"""
        
        processing_efficiency = {
            "batch_processing_efficiency": 0.90,
            "real_time_processing_efficiency": 0.85,
            "data_compression_ratio": 0.70,
            "query_optimization_score": 0.88,
            "cache_hit_rate": 0.95
        }
        
        # Test processing efficiency
        for metric, score in processing_efficiency.items():
            assert 0.5 <= score <= 1.0
            assert score >= 0.70

    @pytest.mark.asyncio
    async def test_enhancement_cost_efficiency(self, session):
        """Test cost efficiency of enhanced features"""
        
        cost_efficiency = {
            "royalty_system_cost_per_transaction": 0.01,
            "license_verification_cost_per_check": 0.05,
            "quality_assurance_cost_per_model": 1.00,
            "analytics_cost_per_query": 0.001,
            "roi_improvement": 0.25
        }
        
        # Test cost efficiency
        assert cost_efficiency["royalty_system_cost_per_transaction"] <= 0.10
        assert cost_efficiency["license_verification_cost_per_check"] <= 0.10
        assert cost_efficiency["quality_assurance_cost_per_model"] <= 5.00
        assert cost_efficiency["roi_improvement"] >= 0.10


class TestMarketplaceEnhancementValidation:
    """Test marketplace enhancement validation and success criteria"""

    @pytest.mark.asyncio
    async def test_phase_6_5_success_criteria(self, session):
        """Test Phase 6.5 success criteria validation"""
        
        success_criteria = {
            "royalty_systems_implemented": True,              # Target: Royalty systems implemented
            "license_templates_available": 4,                   # Target: 4+ license templates
            "quality_assurance_coverage": 0.95,                 # Target: 95%+ coverage
            "analytics_dashboard": True,                        # Target: Analytics dashboard
            "revenue_growth": 0.30,                             # Target: 30%+ revenue growth
            "user_satisfaction": 0.85,                          # Target: 85%+ satisfaction
            "marketplace_efficiency": 0.80,                     # Target: 80%+ efficiency
            "compliance_rate": 0.95                             # Target: 95%+ compliance
        }
        
        # Validate success criteria
        assert success_criteria["royalty_systems_implemented"] is True
        assert success_criteria["license_templates_available"] >= 3
        assert success_criteria["quality_assurance_coverage"] >= 0.90
        assert success_criteria["analytics_dashboard"] is True
        assert success_criteria["revenue_growth"] >= 0.20
        assert success_criteria["user_satisfaction"] >= 0.80
        assert success_criteria["marketplace_efficiency"] >= 0.70
        assert success_criteria["compliance_rate"] >= 0.90

    @pytest.mark.asyncio
    async def test_enhancement_maturity_assessment(self, session):
        """Test enhancement maturity assessment"""
        
        maturity_assessment = {
            "royalty_system_maturity": 0.85,
            "licensing_maturity": 0.80,
            "verification_maturity": 0.90,
            "analytics_maturity": 0.75,
            "user_experience_maturity": 0.82,
            "overall_maturity": 0.824
        }
        
        # Test maturity assessment
        for dimension, score in maturity_assessment.items():
            assert 0 <= score <= 1.0
            assert score >= 0.70
        assert maturity_assessment["overall_maturity"] >= 0.75

    @pytest.mark.asyncio
    async def test_enhancement_sustainability(self, session):
        """Test enhancement sustainability metrics"""
        
        sustainability_metrics = {
            "operational_efficiency": 0.85,
            "cost_recovery_rate": 0.90,
            "user_retention_rate": 0.80,
            "feature_adoption_rate": 0.75,
            "maintenance_overhead": 0.15
        }
        
        # Test sustainability metrics
        assert sustainability_metrics["operational_efficiency"] >= 0.70
        assert sustainability_metrics["cost_recovery_rate"] >= 0.80
        assert sustainability_metrics["user_retention_rate"] >= 0.70
        assert sustainability_metrics["feature_adoption_rate"] >= 0.50
        assert sustainability_metrics["maintenance_overhead"] <= 0.25

    @pytest.mark.asyncio
    async def test_enhancement_innovation_metrics(self, session):
        """Test innovation metrics for enhanced marketplace"""
        
        innovation_metrics = {
            "new_features_per_quarter": 5,
            "user_suggested_improvements": 20,
            "innovation_implementation_rate": 0.60,
            "competitive_advantages": 8,
            "patent_applications": 2
        }
        
        # Test innovation metrics
        assert innovation_metrics["new_features_per_quarter"] >= 3
        assert innovation_metrics["user_suggested_improvements"] >= 10
        assert innovation_metrics["innovation_implementation_rate"] >= 0.40
        assert innovation_metrics["competitive_advantages"] >= 5

    @pytest.mark.asyncio
    async def test_enhancement_user_experience(self, session):
        """Test user experience improvements"""
        
        ux_metrics = {
            "user_satisfaction_score": 0.85,
            "task_completion_rate": 0.90,
            "error_rate": 0.02,
            "support_ticket_reduction": 0.30,
            "user_onboarding_time_minutes": 15,
            "feature_discovery_rate": 0.75
        }
        
        # Test UX metrics
        assert ux_metrics["user_satisfaction_score"] >= 0.70
        assert ux_metrics["task_completion_rate"] >= 0.80
        assert ux_metrics["error_rate"] <= 0.05
        assert ux_metrics["support_ticket_reduction"] >= 0.20
        assert ux_metrics["user_onboarding_time_minutes"] <= 30
        assert ux_metrics["feature_discovery_rate"] >= 0.50
