# platform-engineering-config.yaml
apiVersion: v1
kind: ConfigMap
metadata:
  name: platform-config
  namespace: platform-engineering
data:
  platform.yaml: |
    platform:
      name: "enterprise-devops-platform"
      version: "2.0.0"
      description: "Comprehensive DevOps platform for enterprise development"
      
      components:
        developer_experience:
          self_service_portal:
            enabled: true
            url: "https://developer.company.com"
            features:
              - project_scaffolding
              - environment_provisioning
              - service_catalog
              - documentation
              - tutorials
          
          cli_tools:
            platform_cli:
              name: "devctl"
              version: "1.5.0"
              features:
                - project_creation
                - local_development
                - deployment
                - debugging
                - metrics
            
            development_environment:
              type: "devcontainer"
              registry: "ghcr.io/company/devcontainers"
              features:
                - pre_configured_tools
                - standardized_environments
                - rapid_onboarding
        
        ci_cd_platform:
          source_control:
            provider: "github_enterprise"
            features:
              - branch_protection
              - required_reviews
              - status_checks
              - security_scanning
          
          build_system:
            primary: "github_actions"
            backup: "jenkins"
            features:
              - parallel_builds
              - artifact_caching
              - security_scanning
              - compliance_checks
          
          deployment:
            gitops:
              tool: "argocd"
              sync_policy: "automated"
              self_heal: true
            
            progressive_delivery:
              tool: "flagger"
              strategies:
                - canary
                - blue_green
                - a_b_testing
        
        infrastructure_platform:
          orchestration:
            kubernetes:
              clusters:
                - name: "dev"
                  region: "us-west-2"
                  node_count: 3
                - name: "staging"
                  region: "us-west-2"
                  node_count: 5
                - name: "production"
                  region: "us-west-2"
                  node_count: 10
          
          infrastructure_as_code:
            terraform:
              state_backend: "s3"
              modules_registry: "private"
              compliance_scanning: true
            
            helm:
              chart_repository: "private"
              security_policies: true
              value_validation: true
        
        observability_platform:
          metrics:
            prometheus:
              federation: true
              remote_storage: true
              retention: "15d"
          
          logging:
            elasticsearch:
              retention: "30d"
              indices: "time_based"
              security: "enabled"
          
          tracing:
            jaeger:
              sampling_rate: 0.1
              storage: "elasticsearch"
              retention: "7d"
          
          alerting:
            alertmanager:
              routing: "team_based"
              escalation: "automatic"
              integrations:
                - slack
                - pagerduty
                - email
---
# Developer self-service portal configuration
apiVersion: v1
kind: ConfigMap
metadata:
  name: self-service-config
  namespace: platform-engineering
data:
  catalog.yaml: |
    service_catalog:
      templates:
        web_application:
          name: "Web Application"
          description: "Full-stack web application with database"
          technology_stack:
            frontend: "React"
            backend: "Node.js"
            database: "PostgreSQL"
            cache: "Redis"
          
          scaffolding:
            repository_template: "https://github.com/company/web-app-template"
            ci_cd_template: ".github/workflows/web-app.yml"
            infrastructure_template: "terraform/modules/web-app"
            monitoring_template: "monitoring/web-app-dashboard.json"
          
          environments:
            - name: "development"
              auto_deploy: true
              resources:
                cpu: "0.5"
                memory: "1Gi"
                storage: "10Gi"
            - name: "staging"
              auto_deploy: false
              resources:
                cpu: "1"
                memory: "2Gi"
                storage: "20Gi"
            - name: "production"
              auto_deploy: false
              resources:
                cpu: "2"
                memory: "4Gi"
                storage: "50Gi"
        
        microservice:
          name: "Microservice"
          description: "Containerized microservice with gRPC/REST API"
          technology_stack:
            runtime: "Go"
            framework: "Gin"
            database: "PostgreSQL"
            messaging: "NATS"
          
          scaffolding:
            repository_template: "https://github.com/company/microservice-template"
            ci_cd_template: ".github/workflows/microservice.yml"
            infrastructure_template: "terraform/modules/microservice"
            service_mesh: "istio"
          
          compliance:
            security_scanning: true
            vulnerability_checks: true
            license_validation: true
            policy_enforcement: true
        
        data_pipeline:
          name: "Data Pipeline"
          description: "ETL/ELT data processing pipeline"
          technology_stack:
            orchestrator: "Apache Airflow"
            processing: "Apache Spark"
            storage: "S3"
            warehouse: "Snowflake"
          
          scaffolding:
            repository_template: "https://github.com/company/data-pipeline-template"
            ci_cd_template: ".github/workflows/data-pipeline.yml"
            infrastructure_template: "terraform/modules/data-pipeline"

#!/usr/bin/env python3
# devops-integration-framework.py

import asyncio
import json
import yaml
from typing import Dict, List, Optional, Any
from dataclasses import dataclass
from datetime import datetime
import aiohttp
import kubernetes
from github import Github
import jenkins
import logging

@dataclass
class PipelineEvent:
    """Represents a pipeline event in the DevOps workflow."""
    event_type: str
    source: str
    service: str
    environment: str
    metadata: Dict[str, Any]
    timestamp: datetime

class DevOpsPlatformOrchestrator:
    """Advanced DevOps platform orchestration and integration."""
    
    def __init__(self, config: Dict):
        self.config = config
        self.github_client = Github(config['github']['token'])
        self.k8s_client = kubernetes.client.ApiClient()
        self.webhook_handlers = {}
        
        # Configure logging
        logging.basicConfig(level=logging.INFO)
        self.logger = logging.getLogger(__name__)
        
        # Initialize tool integrations
        self._init_integrations()
    
    def _init_integrations(self):
        """Initialize integrations with DevOps tools."""
        self.integrations = {
            'github': GitHubIntegration(self.config['github']),
            'jenkins': JenkinsIntegration(self.config['jenkins']),
            'argocd': ArgoCDIntegration(self.config['argocd']),
            'kubernetes': KubernetesIntegration(self.config['kubernetes']),
            'vault': VaultIntegration(self.config['vault']),
            'monitoring': MonitoringIntegration(self.config['monitoring'])
        }
    
    async def handle_webhook(self, source: str, event_data: Dict) -> Dict:
        """Handle incoming webhooks from various tools."""
        try:
            # Parse event
            event = self._parse_event(source, event_data)
            
            # Route to appropriate handler
            if event.event_type in self.webhook_handlers:
                result = await self.webhook_handlers[event.event_type](event)
                
                # Log successful processing
                self.logger.info(f"Processed {event.event_type} event for {event.service}")
                return {'status': 'success', 'result': result}
            else:
                self.logger.warning(f"No handler for event type: {event.event_type}")
                return {'status': 'ignored', 'reason': 'no_handler'}
                
        except Exception as e:
            self.logger.error(f"Error processing webhook: {e}")
            return {'status': 'error', 'error': str(e)}
    
    def _parse_event(self, source: str, event_data: Dict) -> PipelineEvent:
        """Parse incoming event data into standardized event."""
        if source == 'github':
            return self._parse_github_event(event_data)
        elif source == 'jenkins':
            return self._parse_jenkins_event(event_data)
        elif source == 'argocd':
            return self._parse_argocd_event(event_data)
        else:
            raise ValueError(f"Unknown event source: {source}")
    
    def _parse_github_event(self, event_data: Dict) -> PipelineEvent:
        """Parse GitHub webhook event."""
        event_type = event_data.get('action', 'unknown')
        
        if 'pull_request' in event_data:
            return PipelineEvent(
                event_type=f"pull_request_{event_type}",
                source='github',
                service=event_data['repository']['name'],
                environment='development',
                metadata={
                    'pr_number': event_data['pull_request']['number'],
                    'branch': event_data['pull_request']['head']['ref'],
                    'author': event_data['pull_request']['user']['login']
                },
                timestamp=datetime.utcnow()
            )
        elif 'push' in event_data:
            return PipelineEvent(
                event_type='push',
                source='github',
                service=event_data['repository']['name'],
                environment='development',
                metadata={
                    'branch': event_data['ref'].replace('refs/heads/', ''),
                    'commits': event_data['commits'],
                    'pusher': event_data['pusher']['name']
                },
                timestamp=datetime.utcnow()
            )
        else:
            raise ValueError(f"Unsupported GitHub event: {event_data}")
    
    async def provision_development_environment(self, event: PipelineEvent) -> Dict:
        """Provision development environment for new feature branch."""
        service = event.service
        branch = event.metadata.get('branch', 'main')
        
        try:
            # Create namespace for feature branch
            namespace = f"{service}-{branch}".replace('/', '-').lower()[:63]
            
            # Create Kubernetes namespace
            k8s_result = await self.integrations['kubernetes'].create_namespace(
                namespace, 
                labels={
                    'app': service,
                    'branch': branch,
                    'environment': 'development',
                    'managed-by': 'platform-engineering'
                }
            )
            
            # Deploy application using Helm
            helm_result = await self.integrations['kubernetes'].deploy_helm_chart(
                chart_name=f"company/{service}",
                release_name=f"{service}-{branch}",
                namespace=namespace,
                values={
                    'image': {
                        'tag': branch
                    },
                    'ingress': {
                        'enabled': True,
                        'host': f"{service}-{branch}.dev.company.com"
                    },
                    'resources': {
                        'requests': {'cpu': '100m', 'memory': '256Mi'},
                        'limits': {'cpu': '500m', 'memory': '512Mi'}
                    }
                }
            )
            
            # Configure monitoring
            monitoring_result = await self.integrations['monitoring'].setup_service_monitoring(
                service=service,
                environment='development',
                namespace=namespace
            )
            
            return {
                'namespace': namespace,
                'url': f"https://{service}-{branch}.dev.company.com",
                'kubernetes': k8s_result,
                'helm': helm_result,
                'monitoring': monitoring_result
            }
            
        except Exception as e:
            self.logger.error(f"Error provisioning development environment: {e}")
            raise
    
    async def trigger_ci_pipeline(self, event: PipelineEvent) -> Dict:
        """Trigger CI pipeline for code changes."""
        service = event.service
        branch = event.metadata.get('branch', 'main')
        
        try:
            # Trigger GitHub Actions workflow
            workflow_result = await self.integrations['github'].trigger_workflow(
                repo=service,
                workflow='ci.yml',
                ref=branch,
                inputs={
                    'environment': 'development',
                    'run_tests': 'true',
                    'security_scan': 'true',
                    'build_image': 'true'
                }
            )
            
            # Update commit status
            await self.integrations['github'].update_commit_status(
                repo=service,
                sha=event.metadata.get('head_commit', {}).get('id'),
                state='pending',
                description='CI pipeline started',
                context='ci/platform'
            )
            
            return {
                'workflow_id': workflow_result['id'],
                'run_url': workflow_result['html_url'],
                'status': 'triggered'
            }
            
        except Exception as e:
            self.logger.error(f"Error triggering CI pipeline: {e}")
            raise
    
    async def deploy_to_environment(self, event: PipelineEvent) -> Dict:
        """Deploy application to target environment."""
        service = event.service
        environment = event.environment
        image_tag = event.metadata.get('image_tag', 'latest')
        
        try:
            # Update ArgoCD application
            argocd_result = await self.integrations['argocd'].update_application(
                app_name=f"{service}-{environment}",
                target_revision=image_tag,
                sync_policy='automated'
            )
            
            # Wait for deployment to complete
            deployment_status = await self.integrations['argocd'].wait_for_sync(
                app_name=f"{service}-{environment}",
                timeout=600
            )
            
            # Run post-deployment tests
            if environment in ['staging', 'production']:
                test_result = await self._run_post_deployment_tests(service, environment)
            else:
                test_result = {'status': 'skipped', 'reason': 'development_environment'}
            
            # Update monitoring and alerting
            await self.integrations['monitoring'].update_service_config(
                service=service,
                environment=environment,
                version=image_tag
            )
            
            return {
                'argocd': argocd_result,
                'deployment_status': deployment_status,
                'tests': test_result,
                'monitoring': 'updated'
            }
            
        except Exception as e:
            self.logger.error(f"Error deploying to {environment}: {e}")
            raise
    
    async def _run_post_deployment_tests(self, service: str, environment: str) -> Dict:
        """Run post-deployment validation tests."""
        try:
            # Health check
            health_check = await self._check_service_health(service, environment)
            
            # Performance tests
            performance_tests = await self._run_performance_tests(service, environment)
            
            # Security validation
            security_scan = await self._run_security_validation(service, environment)
            
            # Integration tests
            integration_tests = await self._run_integration_tests(service, environment)
            
            all_passed = all([
                health_check['status'] == 'healthy',
                performance_tests['status'] == 'passed',
                security_scan['status'] == 'passed',
                integration_tests['status'] == 'passed'
            ])
            
            return {
                'status': 'passed' if all_passed else 'failed',
                'health_check': health_check,
                'performance': performance_tests,
                'security': security_scan,
                'integration': integration_tests
            }
            
        except Exception as e:
            return {
                'status': 'error',
                'error': str(e)
            }
    
    async def cleanup_environment(self, event: PipelineEvent) -> Dict:
        """Clean up development environment when feature branch is deleted."""
        service = event.service
        branch = event.metadata.get('branch', '')
        
        try:
            namespace = f"{service}-{branch}".replace('/', '-').lower()[:63]
            
            # Delete Kubernetes namespace
            k8s_result = await self.integrations['kubernetes'].delete_namespace(namespace)
            
            # Remove monitoring configuration
            monitoring_result = await self.integrations['monitoring'].remove_service_monitoring(
                service=service,
                environment='development',
                namespace=namespace
            )
            
            return {
                'namespace': namespace,
                'kubernetes': k8s_result,
                'monitoring': monitoring_result,
                'status': 'cleaned_up'
            }
            
        except Exception as e:
            self.logger.error(f"Error cleaning up environment: {e}")
            return {'status': 'error', 'error': str(e)}
    
    def register_webhook_handlers(self):
        """Register webhook handlers for different event types."""
        self.webhook_handlers = {
            'pull_request_opened': self.provision_development_environment,
            'pull_request_synchronized': self.trigger_ci_pipeline,
            'pull_request_closed': self.cleanup_environment,
            'push': self.trigger_ci_pipeline,
            'deployment_success': self.deploy_to_environment,
            'deployment_failure': self._handle_deployment_failure
        }

class GitHubIntegration:
    """GitHub integration for repository management."""
    
    def __init__(self, config: Dict):
        self.config = config
        self.client = Github(config['token'])
    
    async def trigger_workflow(self, repo: str, workflow: str, ref: str, inputs: Dict) -> Dict:
        """Trigger GitHub Actions workflow."""
        repository = self.client.get_repo(f"company/{repo}")
        workflow_obj = repository.get_workflow(workflow)
        
        result = workflow_obj.create_dispatch(ref=ref, inputs=inputs)
        
        return {
            'id': result.id,
            'html_url': result.html_url,
            'status': 'triggered'
        }
    
    async def update_commit_status(self, repo: str, sha: str, state: str, description: str, context: str) -> Dict:
        """Update commit status on GitHub."""
        repository = self.client.get_repo(f"company/{repo}")
        commit = repository.get_commit(sha)
        
        result = commit.create_status(
            state=state,
            description=description,
            context=context,
            target_url=f"https://platform.company.com/deployments/{repo}"
        )
        
        return {
            'id': result.id,
            'state': result.state,
            'context': result.context
        }

# Additional integration classes would be implemented similarly...
# KubernetesIntegration, ArgoCDIntegration, MonitoringIntegration, etc.

async def main():
    """Main function for DevOps platform orchestration."""
    config = {
        'github': {'token': 'ghp_xxxxxxxxxxxx'},
        'jenkins': {'url': 'https://jenkins.company.com', 'token': 'xxxxxxxxxx'},
        'argocd': {'url': 'https://argocd.company.com', 'token': 'xxxxxxxxxx'},
        'kubernetes': {'config_path': '~/.kube/config'},
        'vault': {'url': 'https://vault.company.com', 'token': 'xxxxxxxxxx'},
        'monitoring': {'prometheus_url': 'https://prometheus.company.com'}
    }
    
    orchestrator = DevOpsPlatformOrchestrator(config)
    orchestrator.register_webhook_handlers()
    
    # Example webhook processing
    github_event = {
        'action': 'opened',
        'pull_request': {
            'number': 123,
            'head': {'ref': 'feature/new-api'},
            'user': {'login': 'developer'}
        },
        'repository': {'name': 'web-service'}
    }
    
    result = await orchestrator.handle_webhook('github', github_event)
    print(f"Webhook processing result: {result}")

if __name__ == '__main__':
    asyncio.run(main())