#!/usr/bin/env python3
"""
Enterprise Disaster Recovery and Backup Automation Framework
"""

import os
import sys
import json
import yaml
import logging
import asyncio
import hashlib
import subprocess
import tempfile
from typing import Dict, List, Optional, Tuple, Any, Union, Set
from dataclasses import dataclass, asdict, field
from pathlib import Path
from enum import Enum
from datetime import datetime, timedelta
import rclone
import boto3
import azure.storage.blob
from google.cloud import storage as gcs
import psycopg2
import pymongo
import mysql.connector
from cryptography.fernet import Fernet
from cryptography.hazmat.primitives import hashes
from cryptography.hazmat.primitives.kdf.pbkdf2 import PBKDF2HMAC
import redis
from prometheus_client import Counter, Gauge, Histogram
import aiohttp
import aiofiles
from sqlalchemy import create_engine, Column, String, DateTime, Boolean, Integer, JSON, Float
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
import kubernetes
from kubernetes import client, config
import consul
import etcd3
import schedule
import paramiko
from jinja2 import Template

Base = declarative_base()

class BackupType(Enum):
    FULL = "full"
    INCREMENTAL = "incremental"
    DIFFERENTIAL = "differential"
    SNAPSHOT = "snapshot"
    CONTINUOUS = "continuous"

class StorageProvider(Enum):
    BACKBLAZE_B2 = "backblaze_b2"
    AMAZON_S3 = "amazon_s3"
    AZURE_BLOB = "azure_blob"
    GOOGLE_CLOUD = "google_cloud"
    LOCAL_STORAGE = "local_storage"
    SFTP = "sftp"
    SWIFT = "swift"

class RecoveryTier(Enum):
    HOT = "hot"           # Immediate access
    WARM = "warm"         # Quick access
    COLD = "cold"         # Archive access
    GLACIER = "glacier"   # Deep archive

class BackupStatus(Enum):
    PENDING = "pending"
    IN_PROGRESS = "in_progress"
    COMPLETED = "completed"
    FAILED = "failed"
    VALIDATING = "validating"
    ARCHIVED = "archived"

@dataclass
class BackupPolicy:
    """Backup policy configuration"""
    name: str
    source_paths: List[str]
    backup_type: BackupType
    schedule: str  # Cron expression
    retention_days: int
    storage_providers: List[StorageProvider]
    encryption_enabled: bool = True
    compression_enabled: bool = True
    deduplication_enabled: bool = True
    validation_enabled: bool = True
    notification_channels: List[str] = field(default_factory=list)
    metadata: Dict[str, Any] = field(default_factory=dict)

@dataclass
class StorageConfig:
    """Storage provider configuration"""
    provider: StorageProvider
    endpoint: Optional[str] = None
    bucket_name: str = ""
    region: str = ""
    access_key: str = ""
    secret_key: str = ""
    encryption_key: Optional[str] = None
    storage_class: str = "STANDARD"
    lifecycle_policies: Dict[str, Any] = field(default_factory=dict)
    cost_optimization: bool = True

@dataclass
class RecoveryPoint:
    """Recovery point metadata"""
    id: str
    timestamp: datetime
    backup_type: BackupType
    source_path: str
    storage_locations: List[str]
    size_bytes: int
    checksum: str
    encryption_key_id: Optional[str] = None
    metadata: Dict[str, Any] = field(default_factory=dict)

class BackupMetrics:
    """Prometheus metrics for backup operations"""
    
    def __init__(self):
        self.backup_duration = Histogram(
            'backup_duration_seconds',
            'Time spent on backup operations',
            ['policy_name', 'backup_type', 'status']
        )
        
        self.backup_size = Gauge(
            'backup_size_bytes',
            'Size of backup in bytes',
            ['policy_name', 'storage_provider']
        )
        
        self.backup_success_total = Counter(
            'backup_success_total',
            'Total successful backups',
            ['policy_name', 'storage_provider']
        )
        
        self.backup_failure_total = Counter(
            'backup_failure_total',
            'Total failed backups',
            ['policy_name', 'storage_provider', 'error_type']
        )
        
        self.recovery_duration = Histogram(
            'recovery_duration_seconds',
            'Time spent on recovery operations',
            ['policy_name', 'recovery_type']
        )

class EnterpriseBackupManager:
    """Enterprise backup and disaster recovery management system"""
    
    def __init__(self, config_path: str):
        self.config = self._load_config(config_path)
        self.logger = self._setup_logging()
        self.metrics = BackupMetrics()
        self.encryption_key = self._get_encryption_key()
        self.storage_configs = self._load_storage_configs()
        self.backup_policies = self._load_backup_policies()
        self.session = self._setup_database()
        
    def _load_config(self, config_path: str) -> Dict[str, Any]:
        """Load configuration from YAML file"""
        with open(config_path, 'r') as f:
            return yaml.safe_load(f)
    
    def _setup_logging(self) -> logging.Logger:
        """Setup enterprise logging configuration"""
        logger = logging.getLogger('enterprise_backup')
        logger.setLevel(logging.INFO)
        
        # Console handler
        console_handler = logging.StreamHandler()
        console_formatter = logging.Formatter(
            '%(asctime)s - %(name)s - %(levelname)s - %(message)s'
        )
        console_handler.setFormatter(console_formatter)
        logger.addHandler(console_handler)
        
        # File handler
        file_handler = logging.FileHandler('/var/log/enterprise_backup.log')
        file_formatter = logging.Formatter(
            '%(asctime)s - %(name)s - %(levelname)s - %(funcName)s:%(lineno)d - %(message)s'
        )
        file_handler.setFormatter(file_formatter)
        logger.addHandler(file_handler)
        
        return logger
    
    def _get_encryption_key(self) -> Fernet:
        """Generate or load encryption key"""
        key_path = self.config.get('encryption', {}).get('key_path', '/etc/backup/encryption.key')
        
        if os.path.exists(key_path):
            with open(key_path, 'rb') as f:
                key = f.read()
        else:
            # Generate new key
            key = Fernet.generate_key()
            os.makedirs(os.path.dirname(key_path), exist_ok=True)
            with open(key_path, 'wb') as f:
                f.write(key)
            os.chmod(key_path, 0o600)
            
        return Fernet(key)
    
    def _load_storage_configs(self) -> Dict[str, StorageConfig]:
        """Load storage provider configurations"""
        configs = {}
        
        for provider_config in self.config.get('storage_providers', []):
            provider = StorageProvider(provider_config['type'])
            config_obj = StorageConfig(
                provider=provider,
                **{k: v for k, v in provider_config.items() if k != 'type'}
            )
            configs[provider.value] = config_obj
            
        return configs
    
    def _load_backup_policies(self) -> Dict[str, BackupPolicy]:
        """Load backup policy configurations"""
        policies = {}
        
        for policy_config in self.config.get('backup_policies', []):
            policy = BackupPolicy(**policy_config)
            policies[policy.name] = policy
            
        return policies
    
    def _setup_database(self):
        """Setup database for backup metadata"""
        db_url = self.config.get('database', {}).get('url', 'sqlite:///backup_metadata.db')
        engine = create_engine(db_url)
        Base.metadata.create_all(engine)
        Session = sessionmaker(bind=engine)
        return Session()
    
    async def perform_backup(self, policy_name: str) -> bool:
        """Perform backup according to policy"""
        policy = self.backup_policies.get(policy_name)
        if not policy:
            self.logger.error(f"Backup policy '{policy_name}' not found")
            return False
        
        self.logger.info(f"Starting backup for policy: {policy_name}")
        
        try:
            # Determine backup type based on schedule and previous backups
            backup_type = await self._determine_backup_type(policy)
            
            # Create backup manifest
            backup_id = self._generate_backup_id(policy_name, backup_type)
            
            # Perform pre-backup hooks
            await self._execute_pre_backup_hooks(policy)
            
            # Process each source path
            total_size = 0
            backup_locations = []
            
            for source_path in policy.source_paths:
                self.logger.info(f"Backing up source: {source_path}")
                
                # Create temporary staging area
                with tempfile.TemporaryDirectory() as staging_dir:
                    # Prepare backup data
                    backup_data = await self._prepare_backup_data(
                        source_path, staging_dir, policy, backup_type
                    )
                    
                    # Upload to storage providers
                    for provider in policy.storage_providers:
                        location = await self._upload_to_storage(
                            backup_data, provider, policy, backup_id
                        )
                        backup_locations.append(location)
                        total_size += backup_data['size']
            
            # Create recovery point
            recovery_point = RecoveryPoint(
                id=backup_id,
                timestamp=datetime.utcnow(),
                backup_type=backup_type,
                source_path=str(policy.source_paths),
                storage_locations=backup_locations,
                size_bytes=total_size,
                checksum=await self._calculate_backup_checksum(backup_locations),
                metadata={
                    'policy_name': policy_name,
                    'retention_date': datetime.utcnow() + timedelta(days=policy.retention_days)
                }
            )
            
            # Store recovery point metadata
            await self._store_recovery_point(recovery_point)
            
            # Perform post-backup hooks
            await self._execute_post_backup_hooks(policy, recovery_point)
            
            # Update metrics
            self.metrics.backup_success_total.labels(
                policy_name=policy_name,
                storage_provider=','.join([p.value for p in policy.storage_providers])
            ).inc()
            
            self.metrics.backup_size.labels(
                policy_name=policy_name,
                storage_provider=','.join([p.value for p in policy.storage_providers])
            ).set(total_size)
            
            self.logger.info(f"Backup completed successfully: {backup_id}")
            return True
            
        except Exception as e:
            self.logger.error(f"Backup failed for policy {policy_name}: {str(e)}")
            self.metrics.backup_failure_total.labels(
                policy_name=policy_name,
                storage_provider=','.join([p.value for p in policy.storage_providers]),
                error_type=type(e).__name__
            ).inc()
            return False
    
    async def _determine_backup_type(self, policy: BackupPolicy) -> BackupType:
        """Determine backup type based on policy and history"""
        # Check if full backup is needed
        last_full_backup = await self._get_last_backup(policy.name, BackupType.FULL)
        
        if not last_full_backup:
            return BackupType.FULL
        
        # Check if full backup is overdue
        full_backup_interval = policy.metadata.get('full_backup_interval_days', 7)
        if (datetime.utcnow() - last_full_backup.timestamp).days >= full_backup_interval:
            return BackupType.FULL
        
        # Default to incremental
        return policy.backup_type
    
    async def _prepare_backup_data(
        self, 
        source_path: str, 
        staging_dir: str, 
        policy: BackupPolicy, 
        backup_type: BackupType
    ) -> Dict[str, Any]:
        """Prepare backup data with compression, encryption, and deduplication"""
        
        # Create backup archive
        archive_path = os.path.join(staging_dir, f"backup_{datetime.utcnow().isoformat()}.tar")
        
        # Use rclone for advanced backup operations
        rclone_config = await self._generate_rclone_config(policy)
        
        # Perform backup based on type
        if backup_type == BackupType.FULL:
            cmd = f"tar -cf {archive_path} {source_path}"
        elif backup_type == BackupType.INCREMENTAL:
            # Get last backup timestamp for incremental
            last_backup = await self._get_last_backup(policy.name)
            if last_backup:
                timestamp_file = f"/tmp/last_backup_{policy.name}.timestamp"
                cmd = f"tar -cf {archive_path} --newer-mtime='{last_backup.timestamp}' {source_path}"
            else:
                cmd = f"tar -cf {archive_path} {source_path}"
        else:
            cmd = f"tar -cf {archive_path} {source_path}"
        
        # Execute backup command
        result = subprocess.run(cmd, shell=True, capture_output=True, text=True)
        if result.returncode != 0:
            raise Exception(f"Backup command failed: {result.stderr}")
        
        # Apply compression if enabled
        if policy.compression_enabled:
            compressed_path = f"{archive_path}.gz"
            subprocess.run(f"gzip {archive_path}", shell=True, check=True)
            archive_path = compressed_path
        
        # Apply encryption if enabled
        if policy.encryption_enabled:
            encrypted_path = f"{archive_path}.enc"
            with open(archive_path, 'rb') as f:
                encrypted_data = self.encryption_key.encrypt(f.read())
            
            with open(encrypted_path, 'wb') as f:
                f.write(encrypted_data)
            
            os.remove(archive_path)
            archive_path = encrypted_path
        
        # Calculate checksum
        checksum = await self._calculate_file_checksum(archive_path)
        size = os.path.getsize(archive_path)
        
        return {
            'path': archive_path,
            'size': size,
            'checksum': checksum,
            'encrypted': policy.encryption_enabled,
            'compressed': policy.compression_enabled
        }
    
    async def _upload_to_storage(
        self, 
        backup_data: Dict[str, Any], 
        provider: StorageProvider, 
        policy: BackupPolicy, 
        backup_id: str
    ) -> str:
        """Upload backup to storage provider"""
        
        storage_config = self.storage_configs[provider.value]
        backup_path = backup_data['path']
        
        # Generate remote path
        remote_path = f"{policy.name}/{datetime.utcnow().strftime('%Y/%m/%d')}/{backup_id}"
        
        if provider == StorageProvider.BACKBLAZE_B2:
            return await self._upload_to_b2(backup_path, remote_path, storage_config)
        elif provider == StorageProvider.AMAZON_S3:
            return await self._upload_to_s3(backup_path, remote_path, storage_config)
        elif provider == StorageProvider.AZURE_BLOB:
            return await self._upload_to_azure(backup_path, remote_path, storage_config)
        elif provider == StorageProvider.GOOGLE_CLOUD:
            return await self._upload_to_gcs(backup_path, remote_path, storage_config)
        else:
            raise ValueError(f"Unsupported storage provider: {provider}")
    
    async def _upload_to_b2(self, local_path: str, remote_path: str, config: StorageConfig) -> str:
        """Upload backup to Backblaze B2"""
        
        # Use rclone for B2 upload with advanced features
        rclone_cmd = [
            'rclone', 'copy',
            local_path,
            f"b2:{config.bucket_name}/{remote_path}",
            '--config', '/etc/rclone/rclone.conf',
            '--progress',
            '--transfers', '8',
            '--checkers', '16',
            '--retries', '3',
            '--low-level-retries', '10'
        ]
        
        result = subprocess.run(rclone_cmd, capture_output=True, text=True)
        if result.returncode != 0:
            raise Exception(f"B2 upload failed: {result.stderr}")
        
        return f"b2:{config.bucket_name}/{remote_path}/{os.path.basename(local_path)}"
    
    async def _upload_to_s3(self, local_path: str, remote_path: str, config: StorageConfig) -> str:
        """Upload backup to Amazon S3"""
        
        s3_client = boto3.client(
            's3',
            aws_access_key_id=config.access_key,
            aws_secret_access_key=config.secret_key,
            region_name=config.region
        )
        
        object_key = f"{remote_path}/{os.path.basename(local_path)}"
        
        # Upload with server-side encryption
        extra_args = {
            'StorageClass': config.storage_class,
            'ServerSideEncryption': 'AES256'
        }
        
        s3_client.upload_file(local_path, config.bucket_name, object_key, ExtraArgs=extra_args)
        
        return f"s3://{config.bucket_name}/{object_key}"
    
    async def _upload_to_azure(self, local_path: str, remote_path: str, config: StorageConfig) -> str:
        """Upload backup to Azure Blob Storage"""
        
        blob_service = azure.storage.blob.BlobServiceClient(
            account_url=config.endpoint,
            credential=config.access_key
        )
        
        blob_name = f"{remote_path}/{os.path.basename(local_path)}"
        
        with open(local_path, 'rb') as data:
            blob_service.get_blob_client(
                container=config.bucket_name, 
                blob=blob_name
            ).upload_blob(data, overwrite=True)
        
        return f"azure://{config.bucket_name}/{blob_name}"
    
    async def _upload_to_gcs(self, local_path: str, remote_path: str, config: StorageConfig) -> str:
        """Upload backup to Google Cloud Storage"""
        
        client = gcs.Client()
        bucket = client.bucket(config.bucket_name)
        
        blob_name = f"{remote_path}/{os.path.basename(local_path)}"
        blob = bucket.blob(blob_name)
        
        blob.upload_from_filename(local_path)
        
        return f"gs://{config.bucket_name}/{blob_name}"
    
    async def perform_recovery(
        self, 
        recovery_point_id: str, 
        destination_path: str, 
        recovery_type: str = "full"
    ) -> bool:
        """Perform disaster recovery from backup"""
        
        self.logger.info(f"Starting recovery: {recovery_point_id} to {destination_path}")
        
        try:
            # Get recovery point metadata
            recovery_point = await self._get_recovery_point(recovery_point_id)
            if not recovery_point:
                raise ValueError(f"Recovery point not found: {recovery_point_id}")
            
            # Download backup data from storage
            local_backup_path = await self._download_from_storage(recovery_point)
            
            # Decrypt if needed
            if recovery_point.encryption_key_id:
                local_backup_path = await self._decrypt_backup(local_backup_path)
            
            # Extract backup
            extraction_cmd = f"tar -xf {local_backup_path} -C {destination_path}"
            result = subprocess.run(extraction_cmd, shell=True, capture_output=True, text=True)
            
            if result.returncode != 0:
                raise Exception(f"Recovery extraction failed: {result.stderr}")
            
            # Verify recovery integrity
            if not await self._verify_recovery_integrity(recovery_point, destination_path):
                raise Exception("Recovery integrity verification failed")
            
            self.logger.info(f"Recovery completed successfully: {recovery_point_id}")
            return True
            
        except Exception as e:
            self.logger.error(f"Recovery failed: {str(e)}")
            return False
    
    async def cleanup_expired_backups(self) -> int:
        """Clean up expired backups based on retention policies"""
        
        cleaned_count = 0
        
        for policy_name, policy in self.backup_policies.items():
            cutoff_date = datetime.utcnow() - timedelta(days=policy.retention_days)
            
            # Get expired recovery points
            expired_points = await self._get_expired_recovery_points(policy_name, cutoff_date)
            
            for recovery_point in expired_points:
                try:
                    # Delete from storage providers
                    for location in recovery_point.storage_locations:
                        await self._delete_from_storage(location)
                    
                    # Remove metadata
                    await self._delete_recovery_point(recovery_point.id)
                    
                    cleaned_count += 1
                    self.logger.info(f"Cleaned up expired backup: {recovery_point.id}")
                    
                except Exception as e:
                    self.logger.error(f"Failed to clean up backup {recovery_point.id}: {str(e)}")
        
        return cleaned_count
    
    async def validate_backup_integrity(self, recovery_point_id: str) -> bool:
        """Validate backup integrity without full recovery"""
        
        recovery_point = await self._get_recovery_point(recovery_point_id)
        if not recovery_point:
            return False
        
        try:
            # Download and verify checksums
            for location in recovery_point.storage_locations:
                if not await self._verify_storage_checksum(location, recovery_point.checksum):
                    return False
            
            return True
            
        except Exception as e:
            self.logger.error(f"Integrity validation failed: {str(e)}")
            return False
    
    async def generate_compliance_report(self, start_date: datetime, end_date: datetime) -> Dict[str, Any]:
        """Generate compliance report for backup operations"""
        
        report = {
            'period': {
                'start': start_date.isoformat(),
                'end': end_date.isoformat()
            },
            'policies': {},
            'storage_providers': {},
            'recovery_points': 0,
            'total_size_gb': 0.0,
            'compliance_score': 0.0
        }
        
        # Analyze each policy
        for policy_name, policy in self.backup_policies.items():
            policy_report = await self._analyze_policy_compliance(policy, start_date, end_date)
            report['policies'][policy_name] = policy_report
        
        # Calculate overall compliance score
        report['compliance_score'] = await self._calculate_compliance_score(report)
        
        return report
    
    def _generate_backup_id(self, policy_name: str, backup_type: BackupType) -> str:
        """Generate unique backup ID"""
        timestamp = datetime.utcnow().strftime('%Y%m%d_%H%M%S')
        return f"{policy_name}_{backup_type.value}_{timestamp}"
    
    async def _calculate_file_checksum(self, file_path: str) -> str:
        """Calculate SHA-256 checksum of file"""
        sha256_hash = hashlib.sha256()
        with open(file_path, 'rb') as f:
            for chunk in iter(lambda: f.read(4096), b""):
                sha256_hash.update(chunk)
        return sha256_hash.hexdigest()

# Backup Policy Configuration Templates
BACKUP_POLICY_TEMPLATES = {
    'database': {
        'name': 'production_database',
        'source_paths': ['/var/lib/postgresql/data', '/var/lib/mysql'],
        'backup_type': BackupType.INCREMENTAL,
        'schedule': '0 2 * * *',  # Daily at 2 AM
        'retention_days': 30,
        'storage_providers': [StorageProvider.BACKBLAZE_B2, StorageProvider.AMAZON_S3],
        'encryption_enabled': True,
        'compression_enabled': True,
        'validation_enabled': True,
        'metadata': {
            'full_backup_interval_days': 7,
            'priority': 'critical'
        }
    },
    'application': {
        'name': 'application_data',
        'source_paths': ['/opt/app', '/var/www'],
        'backup_type': BackupType.INCREMENTAL,
        'schedule': '0 1 * * *',  # Daily at 1 AM
        'retention_days': 14,
        'storage_providers': [StorageProvider.BACKBLAZE_B2],
        'encryption_enabled': True,
        'compression_enabled': True,
        'metadata': {
            'full_backup_interval_days': 3
        }
    },
    'system': {
        'name': 'system_config',
        'source_paths': ['/etc', '/root', '/home'],
        'backup_type': BackupType.FULL,
        'schedule': '0 3 * * 0',  # Weekly on Sunday at 3 AM
        'retention_days': 90,
        'storage_providers': [StorageProvider.AMAZON_S3, StorageProvider.AZURE_BLOB],
        'encryption_enabled': True,
        'compression_enabled': True
    }
}

async def main():
    """Main backup orchestration function"""
    
    # Load configuration
    config_path = '/etc/backup/config.yaml'
    backup_manager = EnterpriseBackupManager(config_path)
    
    # Setup scheduler
    schedule.every().day.at("02:00").do(
        lambda: asyncio.create_task(backup_manager.perform_backup('production_database'))
    )
    
    schedule.every().day.at("01:00").do(
        lambda: asyncio.create_task(backup_manager.perform_backup('application_data'))
    )
    
    schedule.every().sunday.at("03:00").do(
        lambda: asyncio.create_task(backup_manager.perform_backup('system_config'))
    )
    
    # Cleanup scheduler
    schedule.every().day.at("04:00").do(
        lambda: asyncio.create_task(backup_manager.cleanup_expired_backups())
    )
    
    print("Enterprise Backup Manager started")
    
    # Run scheduler
    while True:
        schedule.run_pending()
        await asyncio.sleep(60)

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

# backup-infrastructure.yaml
apiVersion: v1
kind: Namespace
metadata:
  name: backup-system
  labels:
    name: backup-system
    compliance: "required"

---
apiVersion: v1
kind: ConfigMap
metadata:
  name: backup-config
  namespace: backup-system
data:
  config.yaml: |
    database:
      url: "postgresql://backup_user:password@postgres:5432/backup_metadata"
    
    storage_providers:
      - type: "backblaze_b2"
        bucket_name: "enterprise-backups-primary"
        region: "us-west-002"
        access_key: "${B2_ACCESS_KEY}"
        secret_key: "${B2_SECRET_KEY}"
        storage_class: "STANDARD"
        lifecycle_policies:
          transition_to_ia_days: 30
          transition_to_glacier_days: 90
          expire_days: 2555  # 7 years
      
      - type: "amazon_s3"
        bucket_name: "enterprise-backups-secondary"
        region: "us-east-1"
        access_key: "${AWS_ACCESS_KEY}"
        secret_key: "${AWS_SECRET_KEY}"
        storage_class: "STANDARD_IA"
        lifecycle_policies:
          transition_to_glacier_days: 60
          expire_days: 2555
    
    backup_policies:
      - name: "critical_databases"
        source_paths: ["/data/postgresql", "/data/mongodb"]
        backup_type: "incremental"
        schedule: "0 */6 * * *"  # Every 6 hours
        retention_days: 90
        storage_providers: ["backblaze_b2", "amazon_s3"]
        encryption_enabled: true
        compression_enabled: true
        deduplication_enabled: true
        validation_enabled: true
        notification_channels: ["slack://ops-alerts", "email://backup-admin@company.com"]
        metadata:
          full_backup_interval_days: 1
          priority: "critical"
          rto_minutes: 15
          rpo_minutes: 60
      
      - name: "application_volumes"
        source_paths: ["/data/applications"]
        backup_type: "incremental"
        schedule: "0 2 * * *"  # Daily at 2 AM
        retention_days: 30
        storage_providers: ["backblaze_b2"]
        encryption_enabled: true
        compression_enabled: true
        metadata:
          full_backup_interval_days: 7
          priority: "high"
    
    encryption:
      key_path: "/etc/backup/encryption.key"
      algorithm: "AES-256-GCM"
    
    notifications:
      slack:
        webhook_url: "${SLACK_WEBHOOK_URL}"
        channel: "#backup-alerts"
      email:
        smtp_server: "smtp.company.com"
        smtp_port: 587
        username: "${SMTP_USERNAME}"
        password: "${SMTP_PASSWORD}"
    
    monitoring:
      prometheus:
        enabled: true
        port: 9090
      grafana_dashboard: true
      alert_thresholds:
        backup_failure_rate: 0.05  # 5%
        recovery_time_minutes: 30
        storage_utilization: 0.85  # 85%

---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: backup-manager
  namespace: backup-system
spec:
  replicas: 1
  selector:
    matchLabels:
      app: backup-manager
  template:
    metadata:
      labels:
        app: backup-manager
    spec:
      serviceAccountName: backup-manager
      securityContext:
        runAsNonRoot: true
        runAsUser: 1000
        fsGroup: 1000
      containers:
      - name: backup-manager
        image: supporttools/enterprise-backup:latest
        imagePullPolicy: Always
        env:
        - name: CONFIG_PATH
          value: "/etc/backup/config.yaml"
        - name: B2_ACCESS_KEY
          valueFrom:
            secretKeyRef:
              name: backup-secrets
              key: b2-access-key
        - name: B2_SECRET_KEY
          valueFrom:
            secretKeyRef:
              name: backup-secrets
              key: b2-secret-key
        - name: AWS_ACCESS_KEY
          valueFrom:
            secretKeyRef:
              name: backup-secrets
              key: aws-access-key
        - name: AWS_SECRET_KEY
          valueFrom:
            secretKeyRef:
              name: backup-secrets
              key: aws-secret-key
        volumeMounts:
        - name: config
          mountPath: /etc/backup
          readOnly: true
        - name: data-volumes
          mountPath: /data
          readOnly: true
        - name: backup-storage
          mountPath: /backup
        resources:
          requests:
            memory: "512Mi"
            cpu: "500m"
          limits:
            memory: "2Gi"
            cpu: "2"
        livenessProbe:
          httpGet:
            path: /health
            port: 8080
          initialDelaySeconds: 30
          periodSeconds: 10
        readinessProbe:
          httpGet:
            path: /ready
            port: 8080
          initialDelaySeconds: 5
          periodSeconds: 5
      volumes:
      - name: config
        configMap:
          name: backup-config
      - name: data-volumes
        persistentVolumeClaim:
          claimName: application-data
      - name: backup-storage
        persistentVolumeClaim:
          claimName: backup-staging

---
apiVersion: v1
kind: ServiceAccount
metadata:
  name: backup-manager
  namespace: backup-system

---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: backup-manager
rules:
- apiGroups: [""]
  resources: ["persistentvolumes", "persistentvolumeclaims"]
  verbs: ["get", "list", "watch", "create"]
- apiGroups: [""]
  resources: ["pods"]
  verbs: ["get", "list", "watch"]
- apiGroups: ["storage.k8s.io"]
  resources: ["storageclasses"]
  verbs: ["get", "list", "watch"]

---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  name: backup-manager
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: backup-manager
subjects:
- kind: ServiceAccount
  name: backup-manager
  namespace: backup-system

---
apiVersion: v1
kind: Service
metadata:
  name: backup-manager
  namespace: backup-system
  labels:
    app: backup-manager
spec:
  ports:
  - port: 8080
    targetPort: 8080
    name: http
  - port: 9090
    targetPort: 9090
    name: metrics
  selector:
    app: backup-manager

---
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
  name: backup-manager-network-policy
  namespace: backup-system
spec:
  podSelector:
    matchLabels:
      app: backup-manager
  policyTypes:
  - Ingress
  - Egress
  ingress:
  - from:
    - namespaceSelector:
        matchLabels:
          name: monitoring-system
    ports:
    - protocol: TCP
      port: 9090
  egress:
  - to: []  # Allow all outbound for cloud storage access
    ports:
    - protocol: TCP
      port: 443
    - protocol: TCP
      port: 80

#!/bin/bash
# enterprise-rclone-setup.sh - Advanced rclone configuration for enterprise backups

set -euo pipefail

# Configuration variables
RCLONE_CONFIG_DIR="/etc/rclone"
RCLONE_CONFIG_FILE="${RCLONE_CONFIG_DIR}/rclone.conf"
ENCRYPTION_PASSWORD_FILE="${RCLONE_CONFIG_DIR}/encryption.key"

# Create configuration directory
sudo mkdir -p "${RCLONE_CONFIG_DIR}"
sudo chmod 750 "${RCLONE_CONFIG_DIR}"

# Generate encryption password
if [[ ! -f "${ENCRYPTION_PASSWORD_FILE}" ]]; then
    openssl rand -base64 32 | sudo tee "${ENCRYPTION_PASSWORD_FILE}" > /dev/null
    sudo chmod 600 "${ENCRYPTION_PASSWORD_FILE}"
fi

# Create comprehensive rclone configuration
cat << 'EOF' | sudo tee "${RCLONE_CONFIG_FILE}" > /dev/null
# Enterprise rclone configuration

# Backblaze B2 Primary Storage
[b2-primary]
type = b2
account = ${B2_ACCOUNT_ID}
key = ${B2_APPLICATION_KEY}
endpoint = 
hard_delete = false
test_mode = false
versions = true
version_at = 
upload_cutoff = 200M
copy_cutoff = 4G
chunk_size = 96M
upload_concurrency = 4
disable_checksum = false
download_url = 
download_auth_duration = 1w

# Amazon S3 Secondary Storage
[s3-secondary]
type = s3
provider = AWS
access_key_id = ${AWS_ACCESS_KEY_ID}
secret_access_key = ${AWS_SECRET_ACCESS_KEY}
region = us-east-1
endpoint = 
location_constraint = us-east-1
acl = private
server_side_encryption = AES256
storage_class = STANDARD_IA
upload_cutoff = 200M
copy_cutoff = 5G
chunk_size = 5M
upload_concurrency = 4
force_path_style = false
v2_auth = false
use_accelerate_endpoint = false
leave_parts_on_error = false

# Azure Blob Storage Tertiary
[azure-tertiary]
type = azureblob
account = ${AZURE_STORAGE_ACCOUNT}
key = ${AZURE_STORAGE_KEY}
endpoint = 
upload_cutoff = 256M
chunk_size = 4M
upload_concurrency = 16
list_chunk = 5000
access_tier = hot
archive_tier_delete = false
use_msi = false
msi_object_id = 
msi_client_id = 
msi_mi_res_id = 

# Google Cloud Storage Archive
[gcs-archive]
type = google cloud storage
project_number = ${GCS_PROJECT_NUMBER}
service_account_file = /etc/rclone/gcs-service-account.json
object_acl = private
bucket_acl = private
bucket_policy_only = false
location = us
storage_class = NEARLINE
token_url = 
auth_url = 
client_id = 
client_secret = 
scope = storage-rw

# Encrypted remote using B2 as backend
[b2-encrypted]
type = crypt
remote = b2-primary:encrypted-backups
filename_encryption = standard
directory_name_encryption = true
password = ${RCLONE_ENCRYPTION_PASSWORD}
password2 = ${RCLONE_ENCRYPTION_SALT}

# High-performance local cache
[local-cache]
type = cache
remote = b2-encrypted:
plex_url = 
plex_username = 
plex_password = 
chunk_size = 5M
info_age = 6h
chunk_total_size = 10G
db_path = /var/cache/rclone
chunk_path = /var/cache/rclone/chunks
db_purge = false
chunk_clean_interval = 1m
read_retries = 10
workers = 4
chunk_no_memory = false
rps = 0
writes = false
tmp_upload_path = 
tmp_wait_time = 15s

# Union filesystem for multi-cloud redundancy
[multi-cloud]
type = union
upstreams = b2-encrypted: s3-secondary:enterprise-backups azure-tertiary:enterprise-backups
action_policy = epall
create_policy = epmfs
search_policy = ff
cache_time = 120

# SFTP for secure transfer staging
[sftp-staging]
type = sftp
host = backup-staging.company.com
user = backup-user
port = 22
pass = ${SFTP_PASSWORD}
key_file = /etc/rclone/sftp-key
key_file_pass = 
pubkey_file = 
known_hosts_file = /etc/rclone/known_hosts
key_use_agent = false
use_insecure_cipher = false
disable_hashcheck = false
ask_password = false
path_override = 
set_modtime = true
shell_type = 
md5sum_command = 
sha1sum_command = 
skip_links = false
subsystem = sftp
server_command = 
use_fstat = false
disable_concurrent_reads = false
disable_concurrent_writes = false
idle_timeout = 60s
chunk_size = 32k
concurrency = 64

EOF

# Set proper permissions
sudo chmod 640 "${RCLONE_CONFIG_FILE}"
sudo chown root:backup "${RCLONE_CONFIG_FILE}" 2>/dev/null || true

# Create systemd service for automated backups
cat << 'EOF' | sudo tee /etc/systemd/system/enterprise-backup.service > /dev/null
[Unit]
Description=Enterprise Backup Service
After=network-online.target
Wants=network-online.target

[Service]
Type=simple
User=backup
Group=backup
ExecStart=/usr/local/bin/enterprise-backup-manager
Restart=on-failure
RestartSec=60
StandardOutput=journal
StandardError=journal
SyslogIdentifier=enterprise-backup

# Security settings
NoNewPrivileges=true
ProtectSystem=strict
ProtectHome=true
ReadWritePaths=/var/log /var/lib/backup /tmp
PrivateTmp=true
ProtectKernelTunables=true
ProtectControlGroups=true
RestrictRealtime=true
RestrictSUIDSGID=true

# Resource limits
MemoryMax=4G
CPUQuota=200%

[Install]
WantedBy=multi-user.target
EOF

# Create backup user
sudo useradd -r -s /bin/bash -d /var/lib/backup -m backup 2>/dev/null || true
sudo usermod -a -G rclone backup 2>/dev/null || true

# Create cache directories
sudo mkdir -p /var/cache/rclone/chunks
sudo mkdir -p /var/lib/backup
sudo chown -R backup:backup /var/cache/rclone /var/lib/backup

# Enable and start service
sudo systemctl daemon-reload
sudo systemctl enable enterprise-backup.service

echo "Enterprise rclone configuration completed successfully"
echo "Configuration file: ${RCLONE_CONFIG_FILE}"
echo "Service: enterprise-backup.service"
echo ""
echo "Next steps:"
echo "1. Configure environment variables for storage credentials"
echo "2. Test rclone connectivity: sudo -u backup rclone lsd b2-primary:"
echo "3. Start backup service: sudo systemctl start enterprise-backup.service"

#!/usr/bin/env python3
"""
Enterprise Backup Recovery Testing and Validation Framework
"""

import os
import sys
import json
import yaml
import logging
import asyncio
import tempfile
import shutil
from typing import Dict, List, Optional, Tuple, Any
from dataclasses import dataclass, asdict
from pathlib import Path
from datetime import datetime, timedelta
import pytest
import docker
import kubernetes
from kubernetes import client, config

@dataclass
class RecoveryTest:
    """Recovery test configuration"""
    name: str
    backup_policy: str
    test_type: str  # full, partial, point_in_time
    validation_commands: List[str]
    expected_files: List[str]
    max_recovery_time_minutes: int
    automated: bool = True
    metadata: Dict[str, Any] = None

class EnterpriseRecoveryTester:
    """Automated recovery testing and validation system"""
    
    def __init__(self, config_path: str):
        self.config = self._load_config(config_path)
        self.logger = self._setup_logging()
        self.docker_client = docker.from_env()
        self.k8s_client = self._setup_k8s_client()
        self.test_results = []
    
    def _setup_k8s_client(self):
        """Setup Kubernetes client"""
        try:
            config.load_incluster_config()
        except:
            config.load_kube_config()
        return client.CoreV1Api()
    
    async def run_recovery_test(self, test_config: RecoveryTest) -> Dict[str, Any]:
        """Execute recovery test"""
        
        self.logger.info(f"Starting recovery test: {test_config.name}")
        
        test_result = {
            'test_name': test_config.name,
            'start_time': datetime.utcnow(),
            'status': 'running',
            'recovery_time_seconds': 0,
            'validation_results': [],
            'errors': []
        }
        
        try:
            # Create isolated test environment
            test_env = await self._create_test_environment(test_config)
            
            # Find suitable recovery point
            recovery_point = await self._find_recovery_point(test_config.backup_policy)
            
            if not recovery_point:
                raise Exception(f"No recovery point found for policy: {test_config.backup_policy}")
            
            # Perform recovery
            recovery_start = datetime.utcnow()
            
            recovery_success = await self._perform_test_recovery(
                recovery_point, test_env, test_config
            )
            
            recovery_end = datetime.utcnow()
            recovery_time = (recovery_end - recovery_start).total_seconds()
            
            test_result['recovery_time_seconds'] = recovery_time
            
            if not recovery_success:
                raise Exception("Recovery operation failed")
            
            # Validate recovery
            validation_results = await self._validate_recovery(test_env, test_config)
            test_result['validation_results'] = validation_results
            
            # Check recovery time SLA
            if recovery_time > (test_config.max_recovery_time_minutes * 60):
                test_result['errors'].append(
                    f"Recovery time {recovery_time}s exceeds SLA of {test_config.max_recovery_time_minutes * 60}s"
                )
            
            # Determine overall test status
            if all(v['passed'] for v in validation_results) and not test_result['errors']:
                test_result['status'] = 'passed'
            else:
                test_result['status'] = 'failed'
            
            self.logger.info(f"Recovery test completed: {test_config.name} - {test_result['status']}")
            
        except Exception as e:
            test_result['status'] = 'failed'
            test_result['errors'].append(str(e))
            self.logger.error(f"Recovery test failed: {test_config.name} - {str(e)}")
            
        finally:
            test_result['end_time'] = datetime.utcnow()
            test_result['duration_seconds'] = (
                test_result['end_time'] - test_result['start_time']
            ).total_seconds()
            
            # Cleanup test environment
            await self._cleanup_test_environment(test_env)
        
        self.test_results.append(test_result)
        return test_result
    
    async def _create_test_environment(self, test_config: RecoveryTest) -> Dict[str, Any]:
        """Create isolated test environment"""
        
        # Create temporary namespace for test
        namespace = f"recovery-test-{test_config.name.lower()}-{int(datetime.utcnow().timestamp())}"
        
        # Create Kubernetes namespace
        namespace_obj = client.V1Namespace(
            metadata=client.V1ObjectMeta(
                name=namespace,
                labels={
                    'app': 'recovery-test',
                    'test-name': test_config.name,
                    'created-by': 'enterprise-backup-tester'
                }
            )
        )
        
        self.k8s_client.create_namespace(namespace_obj)
        
        # Create test pod for recovery
        test_pod = client.V1Pod(
            metadata=client.V1ObjectMeta(name='recovery-test-pod', namespace=namespace),
            spec=client.V1PodSpec(
                containers=[
                    client.V1Container(
                        name='recovery-container',
                        image='ubuntu:20.04',
                        command=['/bin/bash', '-c', 'sleep infinity'],
                        volume_mounts=[
                            client.V1VolumeMount(
                                name='recovery-volume',
                                mount_path='/recovery'
                            )
                        ]
                    )
                ],
                volumes=[
                    client.V1Volume(
                        name='recovery-volume',
                        empty_dir=client.V1EmptyDirVolumeSource()
                    )
                ]
            )
        )
        
        self.k8s_client.create_namespaced_pod(namespace=namespace, body=test_pod)
        
        # Wait for pod to be ready
        await self._wait_for_pod_ready(namespace, 'recovery-test-pod')
        
        return {
            'namespace': namespace,
            'pod_name': 'recovery-test-pod',
            'recovery_path': '/recovery'
        }
    
    async def run_comprehensive_test_suite(self) -> Dict[str, Any]:
        """Run comprehensive recovery test suite"""
        
        test_configs = [
            RecoveryTest(
                name="database_full_recovery",
                backup_policy="critical_databases",
                test_type="full",
                validation_commands=[
                    "ls -la /recovery/postgresql",
                    "psql --version",
                    "pg_dump --help"
                ],
                expected_files=[
                    "/recovery/postgresql/postgresql.conf",
                    "/recovery/postgresql/pg_hba.conf"
                ],
                max_recovery_time_minutes=15
            ),
            RecoveryTest(
                name="application_point_in_time_recovery",
                backup_policy="application_data",
                test_type="point_in_time",
                validation_commands=[
                    "ls -la /recovery/app",
                    "cat /recovery/app/version.txt"
                ],
                expected_files=[
                    "/recovery/app/config.yaml",
                    "/recovery/app/application.jar"
                ],
                max_recovery_time_minutes=10
            ),
            RecoveryTest(
                name="system_config_recovery",
                backup_policy="system_config",
                test_type="partial",
                validation_commands=[
                    "ls -la /recovery/etc",
                    "cat /recovery/etc/hostname"
                ],
                expected_files=[
                    "/recovery/etc/passwd",
                    "/recovery/etc/fstab"
                ],
                max_recovery_time_minutes=5
            )
        ]
        
        suite_results = {
            'suite_start_time': datetime.utcnow(),
            'total_tests': len(test_configs),
            'passed_tests': 0,
            'failed_tests': 0,
            'test_results': []
        }
        
        # Run tests concurrently
        tasks = []
        for test_config in test_configs:
            task = asyncio.create_task(self.run_recovery_test(test_config))
            tasks.append(task)
        
        results = await asyncio.gather(*tasks, return_exceptions=True)
        
        # Process results
        for result in results:
            if isinstance(result, Exception):
                suite_results['failed_tests'] += 1
                suite_results['test_results'].append({
                    'status': 'failed',
                    'error': str(result)
                })
            else:
                suite_results['test_results'].append(result)
                if result['status'] == 'passed':
                    suite_results['passed_tests'] += 1
                else:
                    suite_results['failed_tests'] += 1
        
        suite_results['suite_end_time'] = datetime.utcnow()
        suite_results['success_rate'] = (
            suite_results['passed_tests'] / suite_results['total_tests']
        ) if suite_results['total_tests'] > 0 else 0
        
        # Generate compliance report
        compliance_report = await self._generate_test_compliance_report(suite_results)
        suite_results['compliance_report'] = compliance_report
        
        return suite_results

# Recovery Test Configuration
RECOVERY_TEST_SCHEDULE = {
    'daily': [
        'database_integrity_check',
        'application_quick_recovery'
    ],
    'weekly': [
        'full_system_recovery',
        'disaster_scenario_simulation'
    ],
    'monthly': [
        'compliance_validation',
        'performance_benchmark'
    ]
}

async def main():
    """Main recovery testing orchestration"""
    
    tester = EnterpriseRecoveryTester('/etc/backup/recovery-test-config.yaml')
    
    # Run comprehensive test suite
    results = await tester.run_comprehensive_test_suite()
    
    # Generate report
    report_path = f"/var/log/recovery-test-report-{datetime.utcnow().strftime('%Y%m%d')}.json"
    with open(report_path, 'w') as f:
        json.dump(results, f, indent=2, default=str)
    
    print(f"Recovery test suite completed")
    print(f"Passed: {results['passed_tests']}/{results['total_tests']}")
    print(f"Success rate: {results['success_rate']:.2%}")
    print(f"Report: {report_path}")
    
    # Exit with appropriate code
    sys.exit(0 if results['success_rate'] >= 0.9 else 1)

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

# backup-monitoring.yaml
apiVersion: v1
kind: ServiceMonitor
metadata:
  name: backup-metrics
  namespace: backup-system
  labels:
    app: backup-manager
spec:
  selector:
    matchLabels:
      app: backup-manager
  endpoints:
  - port: metrics
    interval: 30s
    path: /metrics

---
apiVersion: monitoring.coreos.com/v1
kind: PrometheusRule
metadata:
  name: backup-alerts
  namespace: backup-system
spec:
  groups:
  - name: backup.rules
    rules:
    - alert: BackupJobFailure
      expr: increase(backup_failure_total[1h]) > 0
      for: 0m
      labels:
        severity: critical
        component: backup
      annotations:
        summary: "Backup job failed"
        description: "Backup job {{ $labels.policy_name }} has failed on {{ $labels.storage_provider }}"
    
    - alert: BackupJobDuration
      expr: backup_duration_seconds > 3600
      for: 5m
      labels:
        severity: warning
        component: backup
      annotations:
        summary: "Backup job taking too long"
        description: "Backup job {{ $labels.policy_name }} has been running for {{ $value }} seconds"
    
    - alert: RecoveryTestFailure
      expr: increase(recovery_test_failure_total[24h]) > 0
      for: 0m
      labels:
        severity: critical
        component: disaster-recovery
      annotations:
        summary: "Recovery test failed"
        description: "Recovery test {{ $labels.test_name }} has failed"
    
    - alert: BackupStorageUtilization
      expr: backup_storage_utilization_percent > 85
      for: 15m
      labels:
        severity: warning
        component: storage
      annotations:
        summary: "Backup storage utilization high"
        description: "Backup storage utilization is {{ $value }}% on {{ $labels.storage_provider }}"
    
    - alert: BackupRetentionCompliance
      expr: backup_retention_compliance_score < 0.95
      for: 1h
      labels:
        severity: warning
        component: compliance
      annotations:
        summary: "Backup retention compliance low"
        description: "Backup retention compliance score is {{ $value }} for policy {{ $labels.policy_name }}"

---
apiVersion: v1
kind: ConfigMap
metadata:
  name: grafana-backup-dashboard
  namespace: backup-system
data:
  dashboard.json: |
    {
      "dashboard": {
        "title": "Enterprise Backup & Disaster Recovery",
        "tags": ["backup", "disaster-recovery"],
        "timezone": "UTC",
        "panels": [
          {
            "title": "Backup Success Rate",
            "type": "stat",
            "targets": [
              {
                "expr": "rate(backup_success_total[24h]) / (rate(backup_success_total[24h]) + rate(backup_failure_total[24h])) * 100"
              }
            ],
            "fieldConfig": {
              "defaults": {
                "unit": "percent",
                "thresholds": {
                  "steps": [
                    {"color": "red", "value": 0},
                    {"color": "yellow", "value": 95},
                    {"color": "green", "value": 99}
                  ]
                }
              }
            }
          },
          {
            "title": "Backup Duration",
            "type": "graph",
            "targets": [
              {
                "expr": "backup_duration_seconds",
                "legendFormat": "{{ policy_name }}"
              }
            ]
          },
          {
            "title": "Storage Utilization",
            "type": "bargauge",
            "targets": [
              {
                "expr": "backup_storage_utilization_percent",
                "legendFormat": "{{ storage_provider }}"
              }
            ]
          },
          {
            "title": "Recovery Test Results",
            "type": "table",
            "targets": [
              {
                "expr": "recovery_test_success_rate",
                "format": "table"
              }
            ]
          },
          {
            "title": "Compliance Score",
            "type": "gauge",
            "targets": [
              {
                "expr": "backup_compliance_score"
              }
            ],
            "fieldConfig": {
              "defaults": {
                "min": 0,
                "max": 1,
                "thresholds": {
                  "steps": [
                    {"color": "red", "value": 0},
                    {"color": "yellow", "value": 0.8},
                    {"color": "green", "value": 0.95}
                  ]
                }
              }
            }
          }
        ]
      }
    }

#!/bin/bash
# compliance-automation.sh - Automated compliance reporting and validation

set -euo pipefail

# Configuration
COMPLIANCE_REPORTS_DIR="/var/lib/backup/compliance"
AUDIT_LOG_PATH="/var/log/backup-audit.log"
RETENTION_POLICY_DAYS=2555  # 7 years
BACKUP_VERIFICATION_INTERVAL=24  # hours

# Create compliance reports directory
mkdir -p "${COMPLIANCE_REPORTS_DIR}"

# Function to generate SOX compliance report
generate_sox_compliance_report() {
    local report_date=$(date +%Y%m%d)
    local report_file="${COMPLIANCE_REPORTS_DIR}/sox_compliance_${report_date}.json"
    
    echo "Generating SOX compliance report for $(date)"
    
    python3 << EOF
import json
import sys
from datetime import datetime, timedelta
from enterprise_backup_manager import EnterpriseBackupManager

# Initialize backup manager
backup_manager = EnterpriseBackupManager('/etc/backup/config.yaml')

# Generate compliance data
start_date = datetime.utcnow() - timedelta(days=90)
end_date = datetime.utcnow()

compliance_data = {
    'report_type': 'sox_compliance',
    'report_date': datetime.utcnow().isoformat(),
    'period': {
        'start': start_date.isoformat(),
        'end': end_date.isoformat()
    },
    'financial_data_backups': {
        'completed_backups': 0,
        'failed_backups': 0,
        'success_rate': 0.0,
        'retention_compliance': True,
        'encryption_compliance': True,
        'access_control_compliance': True
    },
    'audit_trail': {
        'backup_operations_logged': True,
        'recovery_operations_logged': True,
        'access_events_logged': True,
        'retention_events_logged': True
    },
    'controls_assessment': {
        'data_integrity_controls': 'satisfactory',
        'access_controls': 'satisfactory',
        'retention_controls': 'satisfactory',
        'recovery_controls': 'satisfactory'
    },
    'compliance_score': 0.0,
    'recommendations': []
}

# Calculate compliance metrics
# ... (implementation details)

# Save report
with open('${report_file}', 'w') as f:
    json.dump(compliance_data, f, indent=2)

print(f"SOX compliance report generated: ${report_file}")
EOF
}

# Function to generate GDPR compliance report
generate_gdpr_compliance_report() {
    local report_date=$(date +%Y%m%d)
    local report_file="${COMPLIANCE_REPORTS_DIR}/gdpr_compliance_${report_date}.json"
    
    echo "Generating GDPR compliance report for $(date)"
    
    python3 << EOF
import json
from datetime import datetime, timedelta

gdpr_data = {
    'report_type': 'gdpr_compliance',
    'report_date': datetime.utcnow().isoformat(),
    'data_protection_measures': {
        'encryption_at_rest': True,
        'encryption_in_transit': True,
        'pseudonymization': True,
        'data_minimization': True
    },
    'data_subject_rights': {
        'right_to_access': 'implemented',
        'right_to_rectification': 'implemented',
        'right_to_erasure': 'implemented',
        'right_to_portability': 'implemented'
    },
    'data_retention': {
        'retention_policies_defined': True,
        'automated_deletion': True,
        'retention_period_days': ${RETENTION_POLICY_DAYS}
    },
    'security_measures': {
        'access_controls': 'implemented',
        'audit_logging': 'implemented',
        'incident_response': 'implemented',
        'data_breach_notification': 'implemented'
    },
    'compliance_score': 0.95
}

with open('${report_file}', 'w') as f:
    json.dump(gdpr_data, f, indent=2)

print(f"GDPR compliance report generated: ${report_file}")
EOF
}

# Function to validate backup integrity
validate_backup_integrity() {
    echo "Validating backup integrity..."
    
    python3 << 'EOF'
import asyncio
from enterprise_backup_manager import EnterpriseBackupManager

async def main():
    backup_manager = EnterpriseBackupManager('/etc/backup/config.yaml')
    
    # Get all recent recovery points
    recovery_points = await backup_manager.get_recent_recovery_points(hours=24)
    
    validation_results = []
    for rp in recovery_points:
        result = await backup_manager.validate_backup_integrity(rp.id)
        validation_results.append({
            'recovery_point_id': rp.id,
            'validation_passed': result,
            'timestamp': rp.timestamp.isoformat()
        })
    
    # Log results
    for result in validation_results:
        status = "PASS" if result['validation_passed'] else "FAIL"
        print(f"Integrity check {status}: {result['recovery_point_id']}")
    
    return all(r['validation_passed'] for r in validation_results)

if __name__ == "__main__":
    success = asyncio.run(main())
    exit(0 if success else 1)
EOF
}

# Function to audit access controls
audit_access_controls() {
    echo "Auditing access controls..."
    
    # Check file permissions
    find /etc/backup -type f -exec ls -la {} \; | while read perm links owner group size date time file; do
        if [[ ! $perm =~ ^-r-------- ]] && [[ ! $perm =~ ^-rw------- ]]; then
            echo "WARNING: Incorrect permissions on $file: $perm" | tee -a "${AUDIT_LOG_PATH}"
        fi
    done
    
    # Check service account permissions
    kubectl auth can-i --list --as=system:serviceaccount:backup-system:backup-manager | tee -a "${AUDIT_LOG_PATH}"
    
    # Verify encryption keys
    if [[ -f /etc/backup/encryption.key ]]; then
        key_perms=$(stat -c "%a" /etc/backup/encryption.key)
        if [[ "$key_perms" != "600" ]]; then
            echo "ERROR: Encryption key has incorrect permissions: $key_perms" | tee -a "${AUDIT_LOG_PATH}"
            exit 1
        fi
    fi
}

# Function to test disaster recovery procedures
test_disaster_recovery() {
    echo "Testing disaster recovery procedures..."
    
    python3 << 'EOF'
import asyncio
import sys
from enterprise_recovery_tester import EnterpriseRecoveryTester

async def main():
    tester = EnterpriseRecoveryTester('/etc/backup/recovery-test-config.yaml')
    results = await tester.run_comprehensive_test_suite()
    
    print(f"Recovery test results: {results['passed_tests']}/{results['total_tests']} passed")
    
    if results['success_rate'] < 0.9:
        print("ERROR: Recovery test success rate below threshold")
        return False
    
    return True

if __name__ == "__main__":
    success = asyncio.run(main())
    sys.exit(0 if success else 1)
EOF
}

# Main compliance automation workflow
main() {
    echo "Starting compliance automation workflow..."
    
    # Generate compliance reports
    generate_sox_compliance_report
    generate_gdpr_compliance_report
    
    # Validate backup integrity
    if ! validate_backup_integrity; then
        echo "ERROR: Backup integrity validation failed"
        exit 1
    fi
    
    # Audit access controls
    audit_access_controls
    
    # Test disaster recovery (weekly)
    if [[ $(date +%u) -eq 1 ]]; then  # Monday
        if ! test_disaster_recovery; then
            echo "ERROR: Disaster recovery test failed"
            exit 1
        fi
    fi
    
    # Clean up old reports (retain 90 days)
    find "${COMPLIANCE_REPORTS_DIR}" -name "*.json" -mtime +90 -delete
    
    echo "Compliance automation completed successfully"
}

# Execute main function
main "$@"

#!/usr/bin/env python3
"""
Enterprise Backup Cost Optimization and Performance Framework
"""

import os
import json
import logging
from typing import Dict, List, Optional, Any
from dataclasses import dataclass
from datetime import datetime, timedelta
import boto3
import azure.mgmt.storage
from google.cloud import storage as gcs
import numpy as np
from sklearn.linear_model import LinearRegression
import pandas as pd

@dataclass
class StorageCostAnalysis:
    """Storage cost analysis results"""
    provider: str
    storage_class: str
    monthly_cost_usd: float
    cost_per_gb_month: float
    retrieval_cost_per_gb: float
    request_costs: Dict[str, float]
    total_storage_gb: float
    projected_annual_cost: float

class EnterpriseCostOptimizer:
    """Multi-cloud storage cost optimization system"""
    
    def __init__(self, config_path: str):
        self.config = self._load_config(config_path)
        self.logger = self._setup_logging()
        
    def analyze_storage_costs(self, days_back: int = 30) -> List[StorageCostAnalysis]:
        """Analyze storage costs across all providers"""
        
        analyses = []
        
        # Analyze Backblaze B2 costs
        b2_analysis = self._analyze_b2_costs(days_back)
        if b2_analysis:
            analyses.append(b2_analysis)
        
        # Analyze Amazon S3 costs
        s3_analysis = self._analyze_s3_costs(days_back)
        if s3_analysis:
            analyses.append(s3_analysis)
        
        # Analyze Azure Blob costs
        azure_analysis = self._analyze_azure_costs(days_back)
        if azure_analysis:
            analyses.append(azure_analysis)
        
        return analyses
    
    def optimize_storage_lifecycle(self) -> Dict[str, Any]:
        """Optimize storage lifecycle policies"""
        
        recommendations = {
            'current_costs': self.analyze_storage_costs(),
            'optimizations': [],
            'projected_savings': 0.0
        }
        
        # Analyze data access patterns
        access_patterns = self._analyze_access_patterns()
        
        # Generate lifecycle recommendations
        for provider_data in access_patterns:
            provider = provider_data['provider']
            
            if provider == 'backblaze_b2':
                opt = self._optimize_b2_lifecycle(provider_data)
            elif provider == 'amazon_s3':
                opt = self._optimize_s3_lifecycle(provider_data)
            elif provider == 'azure_blob':
                opt = self._optimize_azure_lifecycle(provider_data)
            else:
                continue
            
            recommendations['optimizations'].append(opt)
            recommendations['projected_savings'] += opt.get('annual_savings', 0)
        
        return recommendations
    
    def _analyze_b2_costs(self, days_back: int) -> Optional[StorageCostAnalysis]:
        """Analyze Backblaze B2 storage costs"""
        
        # B2 pricing (as of 2025)
        pricing = {
            'storage_per_gb_month': 0.005,  # $0.005/GB/month
            'download_per_gb': 0.01,        # $0.01/GB
            'delete_requests_per_1000': 0.0  # Free
        }
        
        # Get storage metrics from B2 API
        total_storage_gb = self._get_b2_storage_usage()
        monthly_storage_cost = total_storage_gb * pricing['storage_per_gb_month']
        
        return StorageCostAnalysis(
            provider='backblaze_b2',
            storage_class='standard',
            monthly_cost_usd=monthly_storage_cost,
            cost_per_gb_month=pricing['storage_per_gb_month'],
            retrieval_cost_per_gb=pricing['download_per_gb'],
            request_costs={'delete_per_1000': pricing['delete_requests_per_1000']},
            total_storage_gb=total_storage_gb,
            projected_annual_cost=monthly_storage_cost * 12
        )
    
    def _optimize_s3_lifecycle(self, provider_data: Dict[str, Any]) -> Dict[str, Any]:
        """Optimize S3 lifecycle policies"""
        
        optimization = {
            'provider': 'amazon_s3',
            'current_storage_classes': provider_data.get('storage_classes', {}),
            'recommendations': [],
            'annual_savings': 0.0
        }
        
        # Analyze data age and access patterns
        data_age_analysis = provider_data.get('data_age_analysis', {})
        
        # Recommend transitions based on access patterns
        if data_age_analysis.get('30_day_access_rate', 0) < 0.1:
            optimization['recommendations'].append({
                'action': 'transition_to_ia',
                'rule': 'Transition to Standard-IA after 30 days',
                'savings_percent': 40,
                'lifecycle_rule': {
                    'Rules': [{
                        'ID': 'TransitionToIA',
                        'Status': 'Enabled',
                        'Transitions': [{
                            'Days': 30,
                            'StorageClass': 'STANDARD_IA'
                        }]
                    }]
                }
            })
            optimization['annual_savings'] += data_age_analysis.get('eligible_storage_gb', 0) * 0.0125 * 0.4 * 12
        
        if data_age_analysis.get('90_day_access_rate', 0) < 0.05:
            optimization['recommendations'].append({
                'action': 'transition_to_glacier',
                'rule': 'Transition to Glacier after 90 days',
                'savings_percent': 75,
                'lifecycle_rule': {
                    'Rules': [{
                        'ID': 'TransitionToGlacier',
                        'Status': 'Enabled',
                        'Transitions': [{
                            'Days': 90,
                            'StorageClass': 'GLACIER'
                        }]
                    }]
                }
            })
            optimization['annual_savings'] += data_age_analysis.get('old_storage_gb', 0) * 0.0125 * 0.75 * 12
        
        return optimization

# Performance optimization utilities
PERFORMANCE_OPTIMIZATION_CONFIG = {
    'rclone_tuning': {
        'transfers': 32,
        'checkers': 16,
        'buffer_size': '128M',
        'multi_thread_cutoff': '256M',
        'multi_thread_streams': 8,
        'timeout': '5m',
        'retries': 3,
        'low_level_retries': 10
    },
    'compression_settings': {
        'algorithm': 'lz4',  # Fast compression
        'level': 3,          # Balanced speed/ratio
        'block_size': '64KB',
        'parallel_threads': 4
    },
    'encryption_settings': {
        'algorithm': 'AES-256-GCM',
        'key_derivation': 'PBKDF2',
        'iterations': 100000,
        'chunk_size': '1MB'
    },
    'network_optimization': {
        'tcp_window_scaling': True,
        'tcp_congestion_control': 'bbr',
        'connection_pooling': True,
        'keep_alive_timeout': 300,
        'max_connections_per_host': 8
    }
}

if __name__ == "__main__":
    # Example usage
    optimizer = EnterpriseCostOptimizer('/etc/backup/cost-config.yaml')
    
    # Analyze current costs
    cost_analysis = optimizer.analyze_storage_costs()
    print(json.dumps([analysis.__dict__ for analysis in cost_analysis], indent=2))
    
    # Get optimization recommendations
    optimizations = optimizer.optimize_storage_lifecycle()
    print(f"Projected annual savings: ${optimizations['projected_savings']:,.2f}")

# Enterprise Disaster Recovery Implementation Checklist

## Phase 1: Infrastructure Setup (Week 1-2)

### Storage Infrastructure
- [ ] Provision Backblaze B2 account and buckets
- [ ] Configure Amazon S3 buckets with lifecycle policies
- [ ] Set up Azure Blob Storage containers
- [ ] Establish cross-region replication
- [ ] Configure encryption keys and key management
- [ ] Test connectivity to all storage providers

### Kubernetes Infrastructure
- [ ] Deploy backup-system namespace
- [ ] Configure RBAC and service accounts
- [ ] Deploy backup-manager pods
- [ ] Set up persistent volumes for staging
- [ ] Configure network policies
- [ ] Deploy monitoring stack (Prometheus/Grafana)

### Security Configuration
- [ ] Generate and secure encryption keys
- [ ] Configure secrets management (Vault/K8s secrets)
- [ ] Set up access controls and RBAC
- [ ] Configure audit logging
- [ ] Implement network security policies
- [ ] Establish certificate management

## Phase 2: Backup Configuration (Week 3-4)

### Policy Configuration
- [ ] Define backup policies for each data type
- [ ] Configure retention schedules
- [ ] Set up encryption and compression settings
- [ ] Define storage provider priorities
- [ ] Configure notification channels
- [ ] Establish SLA requirements

### Testing and Validation
- [ ] Perform initial backup tests
- [ ] Validate backup integrity
- [ ] Test recovery procedures
- [ ] Verify encryption/decryption
- [ ] Confirm cross-provider replication
- [ ] Document test results

## Phase 3: Automation and Monitoring (Week 5-6)

### Automation Setup
- [ ] Deploy scheduled backup jobs
- [ ] Configure automatic cleanup
- [ ] Set up health checks
- [ ] Implement failure recovery
- [ ] Configure auto-scaling
- [ ] Deploy compliance automation

### Monitoring and Alerting
- [ ] Configure Prometheus metrics
- [ ] Set up Grafana dashboards
- [ ] Define alert thresholds
- [ ] Configure notification channels
- [ ] Test alert escalation
- [ ] Document monitoring procedures

## Phase 4: Compliance and Governance (Week 7-8)

### Compliance Framework
- [ ] Implement SOX compliance reporting
- [ ] Configure GDPR compliance measures
- [ ] Set up audit trail logging
- [ ] Define data retention policies
- [ ] Implement access controls
- [ ] Document compliance procedures

### Governance
- [ ] Establish backup committees
- [ ] Define roles and responsibilities
- [ ] Create operating procedures
- [ ] Set up change management
- [ ] Implement risk management
- [ ] Schedule regular reviews

## Phase 5: Production Rollout (Week 9-10)

### Production Deployment
- [ ] Migrate from existing backup systems
- [ ] Perform production cutover
- [ ] Validate production backups
- [ ] Monitor system performance
- [ ] Address any issues
- [ ] Document lessons learned

### Training and Documentation
- [ ] Train operations teams
- [ ] Create user documentation
- [ ] Document troubleshooting procedures
- [ ] Establish support processes
- [ ] Update runbooks
- [ ] Conduct knowledge transfer