"""
GitLab deployment strategies and configurations
"""

import json
from typing import Dict, Any, List


def get_gitlab_deployment_strategies() -> str:
    """
    Comprehensive GitLab deployment strategies, environments, and best practices
    
    Returns:
        JSON string with GitLab deployment strategies
    """
    deployment_data = {
        "title": "GitLab Deployment Strategies & Environment Management",
        "description": "Enterprise-grade deployment strategies with Storm Logger integration",
        "storm_logger_benefits": {
            "deployment_tracking": [
                "Real-time deployment status monitoring",
                "Automated rollback triggers based on metrics",
                "Deployment performance analytics",
                "Business impact tracking across environments"
            ],
            "environment_monitoring": [
                "Cross-environment performance comparison",
                "Automated health checks with business metrics",
                "Environment-specific logging configuration",
                "Compliance tracking across deployment stages"
            ]
        },
        "deployment_strategies": {
            "blue_green": {
                "description": "Blue-green deployment with instant traffic switching",
                "benefits": [
                    "Zero-downtime deployments",
                    "Instant rollback capability",
                    "Full environment testing",
                    "Reduced deployment risk"
                ],
                "gitlab_config": {
                    "environments": {
                        "blue": {
                            "name": "production-blue",
                            "url": "https://blue.production.example.com",
                            "deployment_strategy": "blue_green"
                        },
                        "green": {
                            "name": "production-green",
                            "url": "https://green.production.example.com",
                            "deployment_strategy": "blue_green"
                        }
                    },
                    "deploy_blue": {
                        "stage": "deploy",
                        "environment": {
                            "name": "production-blue",
                            "url": "https://blue.production.example.com"
                        },
                        "script": [
                            "# Storm Logger: Track blue deployment start",
                            "python -c \"from storm_logger import get_storm_logger; logger = get_storm_logger('gitlab-deploy'); logger.track_business_event('blue_green_deployment', {'target': 'blue', 'strategy': 'blue_green'})\"",
                            "# Deploy to blue environment",
                            "# Health checks and validation",
                            "# Storm Logger: Track deployment success",
                            "python -c \"from storm_logger import get_storm_logger; logger = get_storm_logger('gitlab-deploy'); logger.track_business_event('deployment_success', {'environment': 'blue'})\""
                        ],
                        "when": "manual"
                    }
                },
                "storm_integration": {
                    "health_checks": [
                        "Automated health check validation",
                        "Performance threshold monitoring",
                        "Business metric validation",
                        "User experience monitoring"
                    ],
                    "rollback_triggers": [
                        "Error rate exceeding threshold",
                        "Response time degradation",
                        "Business metric anomalies",
                        "User experience issues"
                    ]
                }
            },
            "canary": {
                "description": "Canary deployment with gradual traffic rollout",
                "benefits": [
                    "Gradual risk exposure",
                    "Real-time monitoring",
                    "Data-driven rollout decisions",
                    "Easy rollback at any stage"
                ],
                "traffic_stages": [
                    {"percentage": 5, "monitoring_duration": "15 minutes"},
                    {"percentage": 25, "monitoring_duration": "30 minutes"},
                    {"percentage": 50, "monitoring_duration": "45 minutes"},
                    {"percentage": 100, "monitoring_duration": "continuous"}
                ],
                "gitlab_config": {
                    "deploy_canary": {
                        "stage": "deploy",
                        "environment": {
                            "name": "production-canary",
                            "url": "https://canary.production.example.com"
                        },
                        "script": [
                            "# Storm Logger: Track canary deployment start",
                            "python -c \"from storm_logger import get_storm_logger; logger = get_storm_logger('gitlab-deploy'); logger.track_business_event('canary_deployment', {'stage': 'start', 'traffic_percentage': 5})\"",
                            "# Deploy canary version",
                            "# Configure traffic splitting (5%)",
                            "# Monitor metrics for 15 minutes",
                            "python -c \"from storm_logger import get_storm_logger; logger = get_storm_logger('gitlab-deploy'); logger.track_business_event('canary_validation', {'traffic_percentage': 5, 'status': 'monitoring'})\""
                        ],
                        "when": "manual"
                    }
                },
                "storm_integration": {
                    "traffic_monitoring": [
                        "Real-time traffic analysis",
                        "Error rate comparison",
                        "Performance metric tracking",
                        "User behavior analysis"
                    ],
                    "automated_decisions": [
                        "Automatic traffic increase on success",
                        "Automatic rollback on failure",
                        "Performance-based decision making",
                        "Business metric validation"
                    ]
                }
            },
            "rolling": {
                "description": "Rolling deployment with gradual instance replacement",
                "benefits": [
                    "Continuous service availability",
                    "Controlled risk exposure",
                    "Resource efficient",
                    "Scalable approach"
                ],
                "gitlab_config": {
                    "deploy_rolling": {
                        "stage": "deploy",
                        "environment": {
                            "name": "production",
                            "url": "https://production.example.com"
                        },
                        "script": [
                            "# Storm Logger: Track rolling deployment start",
                            "python -c \"from storm_logger import get_storm_logger; logger = get_storm_logger('gitlab-deploy'); logger.track_business_event('rolling_deployment', {'strategy': 'rolling', 'instances': 'multiple'})\"",
                            "# Rolling deployment logic",
                            "# Instance-by-instance replacement",
                            "# Health checks per instance",
                            "python -c \"from storm_logger import get_storm_logger; logger = get_storm_logger('gitlab-deploy'); logger.track_business_event('rolling_deployment_complete', {'instances_updated': 'all'})\""
                        ]
                    }
                },
                "storm_integration": {
                    "instance_tracking": [
                        "Per-instance health monitoring",
                        "Instance performance metrics",
                        "Load balancer integration",
                        "Service mesh monitoring"
                    ]
                }
            }
        },
        "environment_management": {
            "development": {
                "description": "Development environment for feature development",
                "characteristics": [
                    "Frequent deployments",
                    "Feature branch deployments",
                    "Limited monitoring",
                    "Shared resources"
                ],
                "gitlab_config": {
                    "deploy_dev": {
                        "stage": "deploy",
                        "environment": {
                            "name": "development",
                            "url": "https://dev.example.com"
                        },
                        "script": [
                            "python -c \"from storm_logger import get_storm_logger; logger = get_storm_logger('gitlab-deploy'); logger.info('Development deployment started')\"",
                            "# Development deployment",
                            "python -c \"from storm_logger import get_storm_logger; logger = get_storm_logger('gitlab-deploy'); logger.info('Development deployment completed')\""
                        ]
                    }
                }
            },
            "staging": {
                "description": "Staging environment for integration testing",
                "characteristics": [
                    "Production-like configuration",
                    "Comprehensive testing",
                    "Performance validation",
                    "User acceptance testing"
                ],
                "gitlab_config": {
                    "deploy_staging": {
                        "stage": "deploy",
                        "environment": {
                            "name": "staging",
                            "url": "https://staging.example.com"
                        },
                        "script": [
                            "python -c \"from storm_logger import get_storm_logger; logger = get_storm_logger('gitlab-deploy'); logger.track_business_event('staging_deployment', {'environment': 'staging'})\"",
                            "# Staging deployment",
                            "# Integration tests",
                            "# Performance validation",
                            "python -c \"from storm_logger import get_storm_logger; logger = get_storm_logger('gitlab-deploy'); logger.track_business_event('staging_validation', {'tests_passed': True})\""
                        ]
                    }
                }
            },
            "production": {
                "description": "Production environment with maximum reliability",
                "characteristics": [
                    "High availability",
                    "Comprehensive monitoring",
                    "Automated rollback",
                    "Business metrics tracking"
                ],
                "gitlab_config": {
                    "deploy_production": {
                        "stage": "deploy",
                        "environment": {
                            "name": "production",
                            "url": "https://production.example.com"
                        },
                        "script": [
                            "python -c \"from storm_logger import get_storm_logger; logger = get_storm_logger('gitlab-deploy'); logger.track_business_event('production_deployment', {'environment': 'production', 'strategy': 'selected'})\"",
                            "# Production deployment",
                            "# Health checks",
                            "# Business metric validation",
                            "python -c \"from storm_logger import get_storm_logger; logger = get_storm_logger('gitlab-deploy'); logger.track_business_event('production_success', {'deployment_id': '$CI_PIPELINE_ID'})\""
                        ],
                        "when": "manual"
                    }
                }
            }
        },
        "best_practices": {
            "deployment_safety": [
                "Automated rollback on failure",
                "Comprehensive health checks",
                "Performance monitoring",
                "Business impact assessment"
            ],
            "monitoring_integration": [
                "Real-time metrics with Storm Logger",
                "Automated alerting",
                "Performance threshold monitoring",
                "Business KPI tracking"
            ],
            "process_optimization": [
                "Deployment automation",
                "Configuration management",
                "Infrastructure as code",
                "Continuous monitoring"
            ]
        }
    }
    
    return json.dumps(deployment_data, indent=2)


def get_deployment_templates() -> Dict[str, Any]:
    """
    Get deployment templates for different strategies
    
    Returns:
        Dictionary with deployment templates
    """
    return {
        "blue_green_template": {
            "stages": ["build", "test", "deploy_blue", "switch_traffic", "cleanup"],
            "variables": {
                "STORM_LOGGER_LEVEL": "INFO",
                "STORM_ENABLE_DEPLOYMENT_METRICS": "true"
            },
            "deploy_blue": {
                "stage": "deploy_blue",
                "environment": {
                    "name": "production-blue",
                    "url": "https://blue.production.example.com"
                },
                "script": [
                    "python -c \"from storm_logger import get_storm_logger; logger = get_storm_logger('gitlab-deploy'); logger.track_business_event('blue_green_deployment', {'target': 'blue'})\"",
                    "# Deploy to blue environment",
                    "# Health checks",
                    "python -c \"from storm_logger import get_storm_logger; logger = get_storm_logger('gitlab-deploy'); logger.track_business_event('deployment_success', {'environment': 'blue'})\""
                ],
                "when": "manual"
            }
        },
        "canary_template": {
            "stages": ["build", "test", "deploy_canary", "monitor_canary", "promote"],
            "variables": {
                "STORM_LOGGER_LEVEL": "INFO",
                "STORM_ENABLE_CANARY_METRICS": "true",
                "CANARY_TRAFFIC_PERCENTAGE": "5"
            },
            "deploy_canary": {
                "stage": "deploy_canary",
                "environment": {
                    "name": "production-canary",
                    "url": "https://canary.production.example.com"
                },
                "script": [
                    "python -c \"from storm_logger import get_storm_logger; logger = get_storm_logger('gitlab-deploy'); logger.track_business_event('canary_deployment', {'traffic_percentage': 5})\"",
                    "# Deploy canary version",
                    "# Configure traffic splitting",
                    "python -c \"from storm_logger import get_storm_logger; logger = get_storm_logger('gitlab-deploy'); logger.track_business_event('canary_monitoring', {'status': 'active'})\""
                ],
                "when": "manual"
            }
        },
        "rolling_template": {
            "stages": ["build", "test", "deploy_rolling"],
            "variables": {
                "STORM_LOGGER_LEVEL": "INFO",
                "STORM_ENABLE_ROLLING_METRICS": "true"
            },
            "deploy_rolling": {
                "stage": "deploy_rolling",
                "environment": {
                    "name": "production",
                    "url": "https://production.example.com"
                },
                "script": [
                    "python -c \"from storm_logger import get_storm_logger; logger = get_storm_logger('gitlab-deploy'); logger.track_business_event('rolling_deployment', {'strategy': 'rolling'})\"",
                    "# Rolling deployment logic",
                    "python -c \"from storm_logger import get_storm_logger; logger = get_storm_logger('gitlab-deploy'); logger.track_business_event('rolling_complete', {'instances': 'all'})\""
                ]
            }
        }
    }


def get_environment_configurations() -> Dict[str, Any]:
    """
    Get environment-specific configurations
    
    Returns:
        Dictionary with environment configurations
    """
    return {
        "development": {
            "storm_logger_config": {
                "level": "DEBUG",
                "console_theme": "storm",
                "enable_business_metrics": False,
                "enable_performance_tracking": True
            },
            "deployment_frequency": "multiple_per_day",
            "monitoring_level": "basic",
            "rollback_policy": "automatic"
        },
        "staging": {
            "storm_logger_config": {
                "level": "INFO",
                "console_theme": "professional",
                "enable_business_metrics": True,
                "enable_performance_tracking": True
            },
            "deployment_frequency": "daily",
            "monitoring_level": "comprehensive",
            "rollback_policy": "automatic"
        },
        "production": {
            "storm_logger_config": {
                "level": "INFO",
                "console_theme": "professional",
                "enable_business_metrics": True,
                "enable_performance_tracking": True,
                "enable_security_logging": True
            },
            "deployment_frequency": "weekly",
            "monitoring_level": "enterprise",
            "rollback_policy": "manual_approval"
        }
    }


def get_monitoring_strategies() -> Dict[str, Any]:
    """
    Get monitoring strategies for different deployment types
    
    Returns:
        Dictionary with monitoring strategies
    """
    return {
        "blue_green_monitoring": {
            "pre_switch": [
                "Health check validation",
                "Performance baseline comparison",
                "Business metric validation",
                "User experience testing"
            ],
            "post_switch": [
                "Traffic monitoring",
                "Error rate tracking",
                "Performance monitoring",
                "Business impact assessment"
            ]
        },
        "canary_monitoring": {
            "metrics": [
                "Traffic distribution",
                "Error rate comparison",
                "Response time analysis",
                "Business conversion rates"
            ],
            "thresholds": {
                "error_rate": "< 1%",
                "response_time": "< 200ms",
                "conversion_rate": "> 95% baseline"
            }
        },
        "rolling_monitoring": {
            "per_instance": [
                "Instance health status",
                "Load balancer integration",
                "Service mesh metrics",
                "Application performance"
            ],
            "overall": [
                "Service availability",
                "Total throughput",
                "Error distribution",
                "Business continuity"
            ]
        }
    }