"""
Automated CI/CD Pipeline for Project Starlight
Enterprise-grade continuous integration and deployment system
"""

import json
import math
import base64
import hashlib
import datetime
import re
import string
import itertools
import collections
import dataclasses
from typing import Dict, List, Optional, Any, Union, Tuple
from dataclasses import dataclass
from enum import Enum


class PipelineStatus(Enum):
    PENDING = "pending"
    RUNNING = "running"
    SUCCESS = "success"
    FAILED = "failed"
    CANCELLED = "cancelled"


class PipelineStage(Enum):
    VALIDATION = "validation"
    TESTING = "testing"
    BUILD = "build"
    SECURITY_SCAN = "security_scan"
    DEPLOYMENT = "deployment"
    MONITORING = "monitoring"


@dataclass
class PipelineStep:
    name: str
    stage: PipelineStage
    status: PipelineStatus
    start_time: Optional[datetime.datetime] = None
    end_time: Optional[datetime.datetime] = None
    duration: Optional[float] = None
    error_message: Optional[str] = None
    artifacts: Optional[List[str]] = None


@dataclass
class PipelineExecution:
    pipeline_id: str
    branch: str
    commit_hash: str
    steps: List[PipelineStep]
    status: PipelineStatus
    start_time: datetime.datetime
    end_time: Optional[datetime.datetime] = None
    total_duration: Optional[float] = None


class CICDPipeline:
    """Enterprise CI/CD Pipeline for Project Starlight"""
    
    def __init__(self):
        self.executions: List[PipelineExecution] = []
        self.current_execution: Optional[PipelineExecution] = None
        
    def validate_code_quality(self) -> PipelineStep:
        """Step 1: Code quality validation"""
        step = PipelineStep(
            "code_quality_validation",
            PipelineStage.VALIDATION,
            PipelineStatus.RUNNING,
            datetime.datetime.now()
        )
        
        try:
            # Mock code quality checks
            quality_checks = {
                "syntax_check": True,
                "style_check": True,
                "complexity_check": True,
                "security_patterns": True
            }
            
            all_passed = all(quality_checks.values())
            
            if all_passed:
                step.status = PipelineStatus.SUCCESS
                step.artifacts = ["quality_report.json"]
            else:
                step.status = PipelineStatus.FAILED
                step.error_message = "Code quality checks failed"
                
        except Exception as e:
            step.status = PipelineStatus.FAILED
            step.error_message = f"Quality validation error: {str(e)}"
        
        step.end_time = datetime.datetime.now()
        step.duration = (step.end_time - step.start_time).total_seconds()
        
        return step
    
    def run_security_scan(self) -> PipelineStep:
        """Step 2: Security vulnerability scanning"""
        step = PipelineStep(
            "security_vulnerability_scan",
            PipelineStage.SECURITY_SCAN,
            PipelineStatus.RUNNING,
            datetime.datetime.now()
        )
        
        try:
            # Mock security scanning
            security_results = {
                "dependency_scan": {
                    "vulnerabilities_found": 0,
                    "critical": 0,
                    "high": 0,
                    "medium": 0,
                    "low": 0
                },
                "code_analysis": {
                    "security_issues": 0,
                    "secrets_detected": 0
                },
                "infrastructure_scan": {
                    "misconfigurations": 0
                }
            }
            
            total_issues = sum([
                security_results["dependency_scan"]["vulnerabilities_found"],
                security_results["code_analysis"]["security_issues"],
                security_results["infrastructure_scan"]["misconfigurations"]
            ])
            
            if total_issues == 0:
                step.status = PipelineStatus.SUCCESS
                step.artifacts = ["security_scan_report.json"]
            else:
                step.status = PipelineStatus.FAILED
                step.error_message = f"Security issues found: {total_issues}"
                
        except Exception as e:
            step.status = PipelineStatus.FAILED
            step.error_message = f"Security scan error: {str(e)}"
        
        step.end_time = datetime.datetime.now()
        step.duration = (step.end_time - step.start_time).total_seconds()
        
        return step
    
    def execute_test_suite(self) -> PipelineStep:
        """Step 3: Execute comprehensive test suite"""
        step = PipelineStep(
            "comprehensive_test_execution",
            PipelineStage.TESTING,
            PipelineStatus.RUNNING,
            datetime.datetime.now()
        )
        
        try:
            # Import and run our testing framework
            from testing_framework import StarlightTestFramework
            
            framework = StarlightTestFramework()
            test_report = framework.run_all_tests()
            
            success_rate = test_report['summary']['overall_success_rate']
            
            if success_rate >= 95.0:  # Enterprise quality threshold
                step.status = PipelineStatus.SUCCESS
                step.artifacts = ["test_report.json", "coverage_report.json"]
            else:
                step.status = PipelineStatus.FAILED
                step.error_message = f"Test success rate below threshold: {success_rate:.1f}%"
                
        except Exception as e:
            step.status = PipelineStatus.FAILED
            step.error_message = f"Test execution error: {str(e)}"
        
        step.end_time = datetime.datetime.now()
        step.duration = (step.end_time - step.start_time).total_seconds()
        
        return step
    
    def build_artifacts(self) -> PipelineStep:
        """Step 4: Build deployment artifacts"""
        step = PipelineStep(
            "build_deployment_artifacts",
            PipelineStage.BUILD,
            PipelineStatus.RUNNING,
            datetime.datetime.now()
        )
        
        try:
            # Mock build process
            build_config = {
                "environment": "production",
                "optimization": "enterprise",
                "compression": True,
                "minification": True
            }
            
            # Simulate build steps
            build_steps = [
                "compile_source_code",
                "optimize_images", 
                "compress_assets",
                "generate_manifests",
                "create_docker_images"
            ]
            
            artifacts_created = []
            for build_step in build_steps:
                # Simulate successful build step
                artifact_name = f"{build_step}_artifact.zip"
                artifacts_created.append(artifact_name)
            
            step.status = PipelineStatus.SUCCESS
            step.artifacts = artifacts_created
            
        except Exception as e:
            step.status = PipelineStatus.FAILED
            step.error_message = f"Build error: {str(e)}"
        
        step.end_time = datetime.datetime.now()
        step.duration = (step.end_time - step.start_time).total_seconds()
        
        return step
    
    def deploy_to_staging(self) -> PipelineStep:
        """Step 5: Deploy to staging environment"""
        step = PipelineStep(
            "deploy_to_staging",
            PipelineStage.DEPLOYMENT,
            PipelineStatus.RUNNING,
            datetime.datetime.now()
        )
        
        try:
            # Mock deployment process
            deployment_config = {
                "target_environment": "staging",
                "replicas": 3,
                "health_check_path": "/health",
                "rollback_enabled": True
            }
            
            # Simulate deployment steps
            deployment_steps = [
                "provision_infrastructure",
                "deploy_application",
                "configure_load_balancer",
                "setup_monitoring",
                "run_health_checks"
            ]
            
            for deploy_step in deployment_steps:
                # Simulate successful deployment step
                pass
            
            # Mock health check
            health_status = {
                "status": "healthy",
                "uptime": "99.9%",
                "response_time": "45ms"
            }
            
            if health_status["status"] == "healthy":
                step.status = PipelineStatus.SUCCESS
                step.artifacts = ["staging_deployment_log.json"]
            else:
                step.status = PipelineStatus.FAILED
                step.error_message = "Health check failed"
                
        except Exception as e:
            step.status = PipelineStatus.FAILED
            step.error_message = f"Deployment error: {str(e)}"
        
        step.end_time = datetime.datetime.now()
        step.duration = (step.end_time - step.start_time).total_seconds()
        
        return step
    
    def setup_monitoring(self) -> PipelineStep:
        """Step 6: Setup production monitoring"""
        step = PipelineStep(
            "setup_production_monitoring",
            PipelineStage.MONITORING,
            PipelineStatus.RUNNING,
            datetime.datetime.now()
        )
        
        try:
            # Mock monitoring setup
            monitoring_config = {
                "metrics_collection": True,
                "log_aggregation": True,
                "alerting": True,
                "dashboard_setup": True
            }
            
            # Simulate monitoring setup
            monitoring_components = [
                "prometheus_metrics",
                "grafana_dashboards",
                "alertmanager_rules",
                "logstash_pipelines",
                "elasticsearch_indices"
            ]
            
            for component in monitoring_components:
                # Simulate successful component setup
                pass
            
            step.status = PipelineStatus.SUCCESS
            step.artifacts = ["monitoring_config.json", "dashboard_urls.json"]
            
        except Exception as e:
            step.status = PipelineStatus.FAILED
            step.error_message = f"Monitoring setup error: {str(e)}"
        
        step.end_time = datetime.datetime.now()
        step.duration = (step.end_time - step.start_time).total_seconds()
        
        return step
    
    def execute_pipeline(self, branch: str = "main", commit_hash: str = "abc123") -> PipelineExecution:
        """Execute complete CI/CD pipeline"""
        pipeline_id = f"pipeline_{datetime.datetime.now().strftime('%Y%m%d_%H%M%S')}_{hashlib.md5(branch.encode()).hexdigest()[:8]}"
        
        execution = PipelineExecution(
            pipeline_id=pipeline_id,
            branch=branch,
            commit_hash=commit_hash,
            steps=[],
            status=PipelineStatus.RUNNING,
            start_time=datetime.datetime.now()
        )
        
        print(f"🚀 Starting CI/CD Pipeline: {pipeline_id}")
        print(f"📋 Branch: {branch}")
        print(f"🔗 Commit: {commit_hash}")
        
        # Execute pipeline steps
        pipeline_steps = [
            self.validate_code_quality,
            self.run_security_scan,
            self.execute_test_suite,
            self.build_artifacts,
            self.deploy_to_staging,
            self.setup_monitoring
        ]
        
        for step_func in pipeline_steps:
            step = step_func()
            execution.steps.append(step)
            
            status_icon = "✅" if step.status == PipelineStatus.SUCCESS else "❌"
            print(f"{status_icon} {step.name}: {step.status.value} ({step.duration:.2f}s)")
            
            # Stop pipeline if critical step fails
            if step.status == PipelineStatus.FAILED and step.stage in [
                PipelineStage.VALIDATION, PipelineStage.SECURITY_SCAN, PipelineStage.TESTING
            ]:
                execution.status = PipelineStatus.FAILED
                break
        
        # Finalize execution
        execution.end_time = datetime.datetime.now()
        execution.total_duration = (execution.end_time - execution.start_time).total_seconds()
        
        if execution.status == PipelineStatus.RUNNING:
            execution.status = PipelineStatus.SUCCESS
        
        self.executions.append(execution)
        self.current_execution = execution
        
        # Generate pipeline report
        self.generate_pipeline_report(execution)
        
        return execution
    
    def generate_pipeline_report(self, execution: PipelineExecution) -> Dict[str, Any]:
        """Generate detailed pipeline execution report"""
        report = {
            "pipeline_id": execution.pipeline_id,
            "execution_summary": {
                "branch": execution.branch,
                "commit_hash": execution.commit_hash,
                "status": execution.status.value,
                "start_time": execution.start_time.isoformat(),
                "end_time": execution.end_time.isoformat() if execution.end_time else None,
                "total_duration": execution.total_duration,
                "total_steps": len(execution.steps),
                "successful_steps": sum(1 for step in execution.steps if step.status == PipelineStatus.SUCCESS),
                "failed_steps": sum(1 for step in execution.steps if step.status == PipelineStatus.FAILED)
            },
            "steps": []
        }
        
        for step in execution.steps:
            step_report = {
                "name": step.name,
                "stage": step.stage.value,
                "status": step.status.value,
                "start_time": step.start_time.isoformat(),
                "end_time": step.end_time.isoformat() if step.end_time else None,
                "duration": step.duration,
                "error_message": step.error_message,
                "artifacts": step.artifacts
            }
            report["steps"].append(step_report)
        
        return report
    
    def get_pipeline_metrics(self) -> Dict[str, Any]:
        """Get pipeline performance metrics"""
        if not self.executions:
            return {"message": "No pipeline executions found"}
        
        total_executions = len(self.executions)
        successful_executions = sum(1 for exec in self.executions if exec.status == PipelineStatus.SUCCESS)
        failed_executions = total_executions - successful_executions
        
        avg_duration = sum(exec.total_duration or 0 for exec in self.executions) / total_executions
        
        return {
            "total_executions": total_executions,
            "successful_executions": successful_executions,
            "failed_executions": failed_executions,
            "success_rate": (successful_executions / total_executions) * 100,
            "average_duration": avg_duration,
            "last_execution": self.executions[-1].pipeline_id if self.executions else None
        }


def main():
    """Main CI/CD pipeline runner"""
    pipeline = CICDPipeline()
    
    # Execute pipeline
    execution = pipeline.execute_pipeline(
        branch="feature/enterprise-testing",
        commit_hash="def456789"
    )
    
    # Get metrics
    metrics = pipeline.get_pipeline_metrics()
    
    print(f"\n📊 Pipeline Metrics:")
    print(f"Success Rate: {metrics['success_rate']:.1f}%")
    print(f"Average Duration: {metrics['average_duration']:.2f}s")
    
    return {
        "execution": execution,
        "metrics": metrics
    }


if __name__ == "__main__":
    main()