class BatchProcessingVsCDC:
    def calculate_roi_score(self, requirements):
        """CDC 도입 ROI 점수 계산"""
        score = 0
        if requirements.get("max_latency") in ["realtime", "minutes"]:
            score += 40
        elif requirements.get("max_latency") == "hourly":
            score += 20
        
        if len(requirements.get("critical_processes", [])) > 3:
            score += 30
        
        if requirements.get("compliance", False):
            score += 20
        
        if "TB" in requirements.get("daily_volume", ""):
            score += 10
        
        return score

class CDCToolsComparison:
    def select_optimal_tool(self, requirements):
        """요구사항에 따른 최적 도구 선택"""
        if (requirements.get("database") == "mysql" and 
            requirements.get("complexity") == "low"):
            return "maxwell"
        elif requirements.get("budget") == "aws_managed":
            return "aws_dms"
        elif (requirements.get("scale") == "large" and 
              requirements.get("complexity") == "high"):
            return "debezium"
        else:
            return "kafka_connect"

class DebeziumArchitecture:
    def create_debezium_configuration(self, database_type, connection_config):
        """Debezium 설정 생성"""
        
        base_config = {
            "name": f"{database_type}-connector",
            "config": {
                "connector.class": f"io.debezium.connector.{database_type.title()}.MySqlConnector",
                "tasks.max": "1",
                "database.hostname": connection_config["host"],
                "database.port": connection_config["port"],
                "database.user": connection_config["user"],
                "database.password": connection_config["password"],
                "database.server.id": "184054",
                "topic.prefix": connection_config["server_name"],
                "schema.history.internal.kafka.bootstrap.servers": "kafka:9092",
                "schema.history.internal.kafka.topic": f"schema-changes.{connection_config['server_name']}",
                "include.schema.changes": "true",
                "snapshot.mode": "initial"
            }
        }
        
        if database_type == "mysql":
            base_config["config"].update({
                "connector.class": "io.debezium.connector.mysql.MySqlConnector",
                "database.server.id": "184054",
                "database.include.list": ",".join(connection_config.get("databases", [])),
                "table.include.list": ",".join(connection_config.get("tables", [])),
                "binlog.buffer.size": "8192",
                "max.batch.size": "2048",
                "max.queue.size": "8192",
                "poll.interval.ms": "1000",
                "snapshot.locking.mode": "minimal"
            })
        
        elif database_type == "postgresql":
            base_config["config"].update({
                "connector.class": "io.debezium.connector.postgresql.PostgresConnector",
                "database.dbname": connection_config["database"],
                "database.slot.name": f"debezium_{connection_config['server_name']}",
                "plugin.name": "pgoutput",
                "publication.name": f"debezium_publication_{connection_config['server_name']}",
                "slot.drop.on.stop": "false",
                "publication.autocreate.mode": "filtered"
            })
        
        elif database_type == "mongodb":
            base_config["config"].update({
                "connector.class": "io.debezium.connector.mongodb.MongoDbConnector",
                "mongodb.hosts": connection_config["hosts"],
                "mongodb.name": connection_config["server_name"],
                "collection.include.list": ",".join(connection_config.get("collections", [])),
                "capture.mode": "change_streams_update_full",
                "snapshot.mode": "initial"
            })
        
        return base_config

class EventStreamingPatterns:
    def implement_event_sourcing_pattern(self):
        """Event Sourcing 패턴 구현 예제"""
        
        # 이벤트 스토어 설정
        event_store_config = {
            "kafka_topics": {
                "order_events": "orders.ecommerce.orders",
                "customer_events": "orders.ecommerce.customers",
                "product_events": "orders.ecommerce.products"
            },
            "event_serialization": "Avro",
            "snapshot_frequency": "every_1000_events",
            "retention_policy": "7_days"
        }
        
        # 이벤트 재생 예제
        def replay_events_for_state(self, entity_id, from_timestamp):
            """특정 엔티티의 상태를 이벤트 재생으로 복원"""
            events = self.get_events(entity_id, from_timestamp)
            state = {}
            for event in events:
                state = self.apply_event(state, event)
            return state
        
        return event_store_config
    
    def implement_cqrs_pattern(self):
        """CQRS 패턴 구현 예제"""
        
        # 명령 측 (Command Side)
        command_side_config = {
            "write_model": {
                "database": "mysql_orders",
                "tables": ["orders", "order_items"],
                "optimization": "for_writes"
            },
            "event_publishing": {
                "debezium_connector": "mysql-orders-connector",
                "topics": ["orders.ecommerce.orders"]
            }
        }
        
        # 조회 측 (Query Side)
        query_side_config = {
            "read_models": {
                "elasticsearch": {
                    "indexes": ["orders_read_model", "customers_read_model"],
                    "optimization": "for_reads",
                    "projections": ["order_summary", "customer_profile"]
                },
                "redis": {
                    "caches": ["order_cache", "customer_cache"],
                    "ttl": "1_hour"
                }
            }
        }
        
        return {
            "command_side": command_side_config,
            "query_side": query_side_config
        }
    
    def implement_saga_pattern(self):
        """Saga 패턴 구현 예제"""
        
        # Choreography 패턴
        choreography_saga = {
            "order_processing_saga": {
                "steps": [
                    {
                        "service": "order_service",
                        "action": "create_order",
                        "compensation": "cancel_order",
                        "event": "OrderCreated"
                    },
                    {
                        "service": "inventory_service", 
                        "action": "reserve_inventory",
                        "compensation": "release_inventory",
                        "event": "InventoryReserved"
                    },
                    {
                        "service": "payment_service",
                        "action": "process_payment",
                        "compensation": "refund_payment",
                        "event": "PaymentProcessed"
                    }
                ],
                "compensation_strategy": "reverse_order"
            }
        }
        
        # Orchestration 패턴
        orchestration_saga = {
            "saga_orchestrator": {
                "state_machine": {
                    "states": ["STARTED", "INVENTORY_RESERVED", "PAYMENT_PROCESSED", "COMPLETED"],
                    "transitions": {
                        "STARTED": "INVENTORY_RESERVED",
                        "INVENTORY_RESERVED": "PAYMENT_PROCESSED",
                        "PAYMENT_PROCESSED": "COMPLETED"
                    },
                    "compensation_states": ["INVENTORY_RELEASED", "PAYMENT_REFUNDED", "CANCELLED"]
                }
            }
        }
        
        return {
            "choreography": choreography_saga,
            "orchestration": orchestration_saga
        }

class MySQLConnectorSetup:
    def __init__(self):
        self.config_templates = {}
    
    def setup_mysql_connector(self, environment_config):
        """MySQL 커넥터 설정"""
        
        # MySQL 서버 설정
        mysql_server_config = {
            "binlog_format": "ROW",
            "binlog_row_image": "FULL",
            "log_bin": "mysql-bin",
            "server_id": environment_config["server_id"],
            "gtid_mode": "ON",
            "enforce_gtid_consistency": "ON"
        }
        
        # Debezium MySQL 커넥터 설정
        connector_config = {
            "name": f"mysql-connector-{environment_config['server_name']}",
            "config": {
                "connector.class": "io.debezium.connector.mysql.MySqlConnector",
                "database.hostname": environment_config["mysql_host"],
                "database.port": environment_config["mysql_port"],
                "database.user": environment_config["mysql_user"],
                "database.password": environment_config["mysql_password"],
                "database.server.id": str(environment_config["server_id"]),
                "topic.prefix": environment_config["server_name"],
                
                # 데이터베이스 및 테이블 필터링
                "database.include.list": ",".join(environment_config.get("included_databases", [])),
                "table.include.list": ",".join(environment_config.get("included_tables", [])),
                "database.exclude.list": ",".join(environment_config.get("excluded_databases", [])),
                "table.exclude.list": ",".join(environment_config.get("excluded_tables", [])),
                
                # 성능 최적화 설정
                "binlog.buffer.size": "32768",
                "max.batch.size": "4096",
                "max.queue.size": "16384",
                "poll.interval.ms": "500",
                "snapshot.locking.mode": "minimal",
                "snapshot.fetch.size": "2048",
                
                # 스키마 및 메타데이터 설정
                "schema.history.internal.kafka.bootstrap.servers": environment_config["kafka_bootstrap_servers"],
                "schema.history.internal.kafka.topic": f"schema-changes.{environment_config['server_name']}",
                "include.schema.changes": "true",
                "schema.name.adjustment.mode": "avro",
                
                # 스냅샷 설정
                "snapshot.mode": "initial",
                "snapshot.lock.timeout.ms": "10000",
                "snapshot.delay.ms": "0",
                
                # 트랜잭션 메타데이터
                "provide.transaction.metadata": "true",
                "transaction.topic": f"transactions.{environment_config['server_name']}",
                
                # 하트비트 설정
                "heartbeat.interval.ms": "30000",
                "heartbeat.topics.prefix": f"heartbeats.{environment_config['server_name']}"
            }
        }
        
        return {
            "mysql_server_config": mysql_server_config,
            "connector_config": connector_config
        }
    
    def setup_advanced_mysql_config(self, high_performance_config):
        """고성능 MySQL 커넥터 설정"""
        
        advanced_config = {
            "name": f"mysql-high-perf-connector-{high_performance_config['server_name']}",
            "config": {
                "connector.class": "io.debezium.connector.mysql.MySqlConnector",
                "database.hostname": high_performance_config["mysql_host"],
                "database.port": high_performance_config["mysql_port"],
                "database.user": high_performance_config["mysql_user"],
                "database.password": high_performance_config["mysql_password"],
                "database.server.id": str(high_performance_config["server_id"]),
                "topic.prefix": high_performance_config["server_name"],
                
                # 고성능 설정
                "binlog.buffer.size": "65536",
                "max.batch.size": "8192",
                "max.queue.size": "32768",
                "poll.interval.ms": "100",
                "max.queue.size.in.bytes": "104857600",  # 100MB
                
                # 병렬 처리 설정
                "tasks.max": str(high_performance_config.get("max_tasks", 1)),
                "database.connectionTimeZone": "UTC",
                
                # 메모리 최적화
                "binlog.read.buffered.bytes": "1048576",
                "inconsistent.schema.handling.mode": "warn",
                
                # 필터링 최적화
                "database.include.list": ",".join(high_performance_config.get("included_databases", [])),
                "table.include.list": ",".join(high_performance_config.get("included_tables", [])),
                
                # 스키마 설정
                "schema.history.internal.kafka.bootstrap.servers": high_performance_config["kafka_bootstrap_servers"],
                "schema.history.internal.kafka.topic": f"schema-changes.{high_performance_config['server_name']}",
                "include.schema.changes": "true",
                
                # 트랜잭션 설정
                "provide.transaction.metadata": "true",
                "transaction.topic": f"transactions.{high_performance_config['server_name']}",
                
                # 하트비트
                "heartbeat.interval.ms": "10000",
                "heartbeat.topics.prefix": f"heartbeats.{high_performance_config['server_name']}"
            }
        }
        
        return advanced_config

class PostgreSQLConnectorSetup:
    def __init__(self):
        self.config_templates = {}
    
    def setup_postgresql_connector(self, environment_config):
        """PostgreSQL 커넥터 설정"""
        
        # PostgreSQL 서버 설정
        postgresql_server_config = {
            "wal_level": "logical",
            "max_wal_senders": "10",
            "max_replication_slots": "10",
            "hot_standby": "on"
        }
        
        # Debezium PostgreSQL 커넥터 설정
        connector_config = {
            "name": f"postgresql-connector-{environment_config['server_name']}",
            "config": {
                "connector.class": "io.debezium.connector.postgresql.PostgresConnector",
                "database.hostname": environment_config["postgres_host"],
                "database.port": environment_config["postgres_port"],
                "database.user": environment_config["postgres_user"],
                "database.password": environment_config["postgres_password"],
                "database.dbname": environment_config["database_name"],
                "database.server.name": environment_config["server_name"],
                
                # 복제 슬롯 설정
                "database.slot.name": f"debezium_{environment_config['server_name']}",
                "slot.drop.on.stop": "false",
                "slot.streaming.resume.lsn": "0/0",
                
                # Publication 설정
                "plugin.name": "pgoutput",
                "publication.name": f"debezium_publication_{environment_config['server_name']}",
                "publication.autocreate.mode": "filtered",
                
                # 스키마 및 테이블 필터링
                "schema.include.list": ",".join(environment_config.get("included_schemas", [])),
                "table.include.list": ",".join(environment_config.get("included_tables", [])),
                "schema.exclude.list": ",".join(environment_config.get("excluded_schemas", [])),
                "table.exclude.list": ",".join(environment_config.get("excluded_tables", [])),
                
                # 성능 설정
                "max.batch.size": "4096",
                "max.queue.size": "16384",
                "poll.interval.ms": "500",
                "status.update.interval.ms": "10000",
                
                # 스키마 히스토리
                "schema.history.internal.kafka.bootstrap.servers": environment_config["kafka_bootstrap_servers"],
                "schema.history.internal.kafka.topic": f"schema-changes.{environment_config['server_name']}",
                "include.schema.changes": "true",
                
                # 스냅샷 설정
                "snapshot.mode": "initial",
                "snapshot.lock.timeout.ms": "10000",
                "snapshot.delay.ms": "0",
                "snapshot.include.collection.list": ",".join(environment_config.get("snapshot_tables", [])),
                
                # 트랜잭션 메타데이터
                "provide.transaction.metadata": "true",
                "transaction.topic": f"transactions.{environment_config['server_name']}",
                
                # 하트비트
                "heartbeat.interval.ms": "30000",
                "heartbeat.topics.prefix": f"heartbeats.{environment_config['server_name']}",
                
                # 데이터 타입 매핑
                "decimal.handling.mode": "precise",
                "time.precision.mode": "adaptive",
                "binary.handling.mode": "base64"
            }
        }
        
        return {
            "postgresql_server_config": postgresql_server_config,
            "connector_config": connector_config
        }

class MongoDBConnectorSetup:
    def __init__(self):
        self.config_templates = {}
    
    def setup_mongodb_connector(self, environment_config):
        """MongoDB 커넥터 설정"""
        
        # MongoDB 서버 설정
        mongodb_server_config = {
            "replication": "enabled",
            "oplog_size": "1GB",
            "enable_majority_read_concern": "true"
        }
        
        # Debezium MongoDB 커넥터 설정
        connector_config = {
            "name": f"mongodb-connector-{environment_config['server_name']}",
            "config": {
                "connector.class": "io.debezium.connector.mongodb.MongoDbConnector",
                "mongodb.hosts": environment_config["mongodb_hosts"],
                "mongodb.name": environment_config["server_name"],
                "mongodb.user": environment_config.get("mongodb_user"),
                "mongodb.password": environment_config.get("mongodb_password"),
                "mongodb.ssl.enabled": environment_config.get("ssl_enabled", "false"),
                
                # 데이터베이스 및 컬렉션 필터링
                "database.include.list": ",".join(environment_config.get("included_databases", [])),
                "collection.include.list": ",".join(environment_config.get("included_collections", [])),
                "database.exclude.list": ",".join(environment_config.get("excluded_databases", [])),
                "collection.exclude.list": ",".join(environment_config.get("excluded_collections", [])),
                
                # 캡처 모드 설정
                "capture.mode": "change_streams_update_full",
                "capture.scope": "deployment",
                
                # 성능 설정
                "max.batch.size": "2048",
                "max.queue.size": "8192",
                "poll.interval.ms": "1000",
                "max.queue.size.in.bytes": "52428800",  # 50MB
                
                # 스키마 히스토리
                "schema.history.internal.kafka.bootstrap.servers": environment_config["kafka_bootstrap_servers"],
                "schema.history.internal.kafka.topic": f"schema-changes.{environment_config['server_name']}",
                "include.schema.changes": "true",
                
                # 스냅샷 설정
                "snapshot.mode": "initial",
                "snapshot.delay.ms": "0",
                
                # 하트비트
                "heartbeat.interval.ms": "30000",
                "heartbeat.topics.prefix": f"heartbeats.{environment_config['server_name']}",
                
                # MongoDB 특화 설정
                "connect.timeout.ms": "30000",
                "socket.timeout.ms": "30000",
                "server.selection.timeout.ms": "30000",
                "cursor.max.await.time.ms": "1000",
                
                # 필드 설정
                "field.renames": ",".join(environment_config.get("field_renames", [])),
                "field.exclude.list": ",".join(environment_config.get("field_excludes", [])),
                
                # 트랜잭션 메타데이터
                "provide.transaction.metadata": "true",
                "transaction.topic": f"transactions.{environment_config['server_name']}"
            }
        }
        
        return {
            "mongodb_server_config": mongodb_server_config,
            "connector_config": connector_config
        }

class SchemaRegistryIntegration:
    def __init__(self):
        self.schema_configs = {}
    
    def setup_confluent_schema_registry(self, registry_config):
        """Confluent Schema Registry 설정"""
        
        schema_registry_config = {
            "schema.registry.url": registry_config["schema_registry_url"],
            "key.converter": "io.confluent.connect.avro.AvroConverter",
            "key.converter.schema.registry.url": registry_config["schema_registry_url"],
            "value.converter": "io.confluent.connect.avro.AvroConverter",
            "value.converter.schema.registry.url": registry_config["schema_registry_url"],
            "value.converter.auto.register.schemas": "true",
            "value.converter.use.latest.version": "true",
            "transforms": "unwrap",
            "transforms.unwrap.type": "io.debezium.transforms.ExtractNewRecordState",
            "transforms.unwrap.drop.tombstones": "false",
            "transforms.unwrap.delete.handling.mode": "drop",
            "transforms.unwrap.add.fields": "op,ts_ms,source.ts_ms,source.db,source.table"
        }
        
        return schema_registry_config

class SchemaCompatibilityStrategies:
    def implement_schema_compatibility_strategies(self):
        """스키마 호환성 전략 구현"""
        
        # Schema Registry 설정
        schema_registry_config = {
            "url": "http://schema-registry:8081",
            "compatibility_levels": {
                "BACKWARD": "이전 버전과 호환 (소비자 먼저 업데이트)",
                "FORWARD": "미래 버전과 호환 (생산자 먼저 업데이트)", 
                "FULL": "양방향 호환 (가장 안전)",
                "NONE": "호환성 검사 없음 (개발 환경)"
            },
            "validation_rules": {
                "field_addition": "새 필드는 optional이어야 함",
                "field_removal": "기존 필드 제거 시 호환성 확인",
                "type_changes": "타입 변경 시 호환 가능한 타입만 허용",
                "default_values": "새 필드에 적절한 기본값 설정"
            }
        }
        
        return schema_registry_config
    
    def validate_schema_compatibility(self, old_schema, new_schema):
        """스키마 호환성 검증"""
        
        compatibility_results = {
            "is_compatible": True,
            "compatibility_level": "UNKNOWN",
            "issues": [],
            "recommendations": []
        }
        
        # 필드 변경 검증
        old_fields = set(old_schema.get("fields", {}).keys())
        new_fields = set(new_schema.get("fields", {}).keys())
        
        # 추가된 필드 검증
        added_fields = new_fields - old_fields
        for field in added_fields:
            field_def = new_schema["fields"][field]
            if not field_def.get("optional", False):
                compatibility_results["issues"].append(
                    f"새 필드 '{field}'가 required입니다. optional로 변경하세요."
                )
                compatibility_results["is_compatible"] = False
        
        # 제거된 필드 검증
        removed_fields = old_fields - new_fields
        if removed_fields:
            compatibility_results["issues"].append(
                f"제거된 필드: {list(removed_fields)}. 이는 breaking change입니다."
            )
            compatibility_results["is_compatible"] = False
        
        # 타입 변경 검증
        common_fields = old_fields & new_fields
        for field in common_fields:
            old_type = old_schema["fields"][field].get("type")
            new_type = new_schema["fields"][field].get("type")
            
            if old_type != new_type:
                if not self._is_type_compatible(old_type, new_type):
                    compatibility_results["issues"].append(
                        f"필드 '{field}' 타입이 {old_type}에서 {new_type}로 변경됨"
                    )
                    compatibility_results["is_compatible"] = False
        
        # 호환성 레벨 결정
        if compatibility_results["is_compatible"]:
            if added_fields and not removed_fields:
                compatibility_results["compatibility_level"] = "BACKWARD"
            elif removed_fields and not added_fields:
                compatibility_results["compatibility_level"] = "FORWARD"
            elif not added_fields and not removed_fields:
                compatibility_results["compatibility_level"] = "FULL"
        else:
            compatibility_results["compatibility_level"] = "NONE"
        
        # 권장사항 생성
        if not compatibility_results["is_compatible"]:
            compatibility_results["recommendations"] = [
                "새 필드는 optional로 설정하세요",
                "필드 제거 대신 deprecated 마킹을 고려하세요",
                "타입 변경 시 호환 가능한 타입으로 변환하세요",
                "필요시 새로운 스키마 버전을 생성하세요"
            ]
        
        return compatibility_results
    
    def _is_type_compatible(self, old_type, new_type):
        """타입 호환성 검사"""
        compatible_types = {
            "int32": ["int64", "float", "double"],
            "int64": ["float", "double"],
            "float": ["double"],
            "string": ["bytes"],
            "bytes": ["string"]
        }
        
        return new_type in compatible_types.get(old_type, [])
    
    def create_schema_evolution_plan(self, current_schema, target_schema):
        """스키마 진화 계획 생성"""
        
        evolution_plan = {
            "phases": [],
            "estimated_duration": "unknown",
            "risk_level": "low"
        }
        
        # Phase 1: 안전한 변경
        safe_changes = []
        old_fields = set(current_schema.get("fields", {}).keys())
        new_fields = set(target_schema.get("fields", {}).keys())
        
        added_fields = new_fields - old_fields
        for field in added_fields:
            if target_schema["fields"][field].get("optional", False):
                safe_changes.append(f"필드 '{field}' 추가 (optional)")
        
        if safe_changes:
            evolution_plan["phases"].append({
                "phase": 1,
                "type": "safe_changes",
                "description": "안전한 변경 (호환성 유지)",
                "changes": safe_changes,
                "duration": "1-2주"
            })
        
        # Phase 2: Breaking Changes (필요시)
        breaking_changes = []
        removed_fields = old_fields - new_fields
        if removed_fields:
            breaking_changes.append(f"필드 제거: {list(removed_fields)}")
            evolution_plan["risk_level"] = "high"
        
        if breaking_changes:
            evolution_plan["phases"].append({
                "phase": 2,
                "type": "breaking_changes",
                "description": "Breaking Changes (새 버전 필요)",
                "changes": breaking_changes,
                "duration": "2-4주",
                "notes": "소비자 업데이트 필요"
            })
        
        return evolution_plan

class DataTransformationPipeline:
    def __init__(self):
        self.transformation_configs = {}
    
    def setup_single_message_transform(self, transform_config):
        """Single Message Transform (SMT) 설정"""
        
        smt_config = {
            "transforms": ",".join(transform_config["transforms"]),
            
            # 레코드 언래핑
            "transforms.unwrap.type": "io.debezium.transforms.ExtractNewRecordState",
            "transforms.unwrap.drop.tombstones": "false",
            "transforms.unwrap.delete.handling.mode": "drop",
            "transforms.unwrap.add.fields": "op,ts_ms,source.ts_ms,source.db,source.table",
            "transforms.unwrap.add.headers": "op,source.ts_ms",
            
            # 필드 이름 변환
            "transforms.rename.type": "org.apache.kafka.connect.transforms.ReplaceField$Value",
            "transforms.rename.renames": ",".join(transform_config.get("field_renames", [])),
            
            # 토픽 라우팅
            "transforms.route.type": "org.apache.kafka.connect.transforms.RegexRouter",
            "transforms.route.regex": transform_config["topic_regex"],
            "transforms.route.replacement": transform_config["topic_replacement"],
            
            # 필터링
            "transforms.filter.type": "org.apache.kafka.connect.transforms.Filter",
            "transforms.filter.condition": transform_config.get("filter_condition", ""),
            
            # 필드 추가
            "transforms.addfield.type": "org.apache.kafka.connect.transforms.InsertField$Value",
            "transforms.addfield.static.field": "processed_at",
            "transforms.addfield.static.value": "$(date:yyyy-MM-dd'T'HH:mm:ss'Z')"
        }
        
        return smt_config
    
    def implement_custom_transformation(self, custom_logic):
        """커스텀 변환 로직 구현"""
        
        custom_transform_config = {
            "transforms": "custom",
            "transforms.custom.type": "com.company.debezium.CustomTransform",
            "transforms.custom.config": {
                "business_rules": custom_logic["business_rules"],
                "data_validation": custom_logic["validation_rules"],
                "enrichment": custom_logic["enrichment_config"],
                "masking": custom_logic["masking_rules"]
            }
        }
        
        return custom_transform_config
    
    def setup_topic_routing(self, routing_config):
        """토픽 라우팅 설정"""
        
        routing_strategies = {
            "database_based_routing": {
                "description": "데이터베이스별 토픽 분리",
                "configuration": {
                    "transforms.route.type": "org.apache.kafka.connect.transforms.RegexRouter",
                    "transforms.route.regex": "([^.]+)\\.([^.]+)\\.([^.]+)",
                    "transforms.route.replacement": "$1-$2-$3"
                },
                "result": "server.database.table -> server-database-table"
            },
            
            "table_based_routing": {
                "description": "테이블별 토픽 분리",
                "configuration": {
                    "transforms.route.type": "org.apache.kafka.connect.transforms.RegexRouter",
                    "transforms.route.regex": "([^.]+)\\.([^.]+)\\.([^.]+)",
                    "transforms.route.replacement": "$3"
                },
                "result": "server.database.table -> table"
            },
            
            "operation_based_routing": {
                "description": "연산 타입별 토픽 분리",
                "configuration": {
                    "transforms.route.type": "com.company.debezium.OperationRouter",
                    "transforms.route.insert.topic": "inserts",
                    "transforms.route.update.topic": "updates",
                    "transforms.route.delete.topic": "deletes"
                },
                "result": "INSERT -> inserts, UPDATE -> updates, DELETE -> deletes"
            },
            
            "conditional_routing": {
                "description": "조건부 토픽 라우팅",
                "configuration": {
                    "transforms.route.type": "com.company.debezium.ConditionalRouter",
                    "transforms.route.conditions": {
                        "high_priority": "priority == 'HIGH'",
                        "low_priority": "priority == 'LOW'"
                    },
                    "transforms.route.default.topic": "normal"
                },
                "result": "조건에 따른 동적 토픽 라우팅"
            }
        }
        
        return routing_strategies[routing_config["strategy"]]
    
    def implement_data_enrichment(self, enrichment_config):
        """데이터 풍부화 구현"""
        
        enrichment_pipeline = {
            "lookup_enrichment": {
                "description": "외부 데이터 소스 조회",
                "implementation": {
                    "transforms.enrich.type": "com.company.debezium.LookupTransform",
                    "transforms.enrich.lookup.source": "redis",
                    "transforms.enrich.lookup.key.field": "user_id",
                    "transforms.enrich.lookup.value.fields": "user_name,user_email,user_role"
                }
            },
            
            "calculation_enrichment": {
                "description": "계산된 필드 추가",
                "implementation": {
                    "transforms.calc.type": "com.company.debezium.CalculationTransform",
                    "transforms.calc.formulas": {
                        "total_amount": "price * quantity",
                        "discount_amount": "total_amount * discount_rate",
                        "final_amount": "total_amount - discount_amount"
                    }
                }
            },
            
            "geolocation_enrichment": {
                "description": "지리적 정보 풍부화",
                "implementation": {
                    "transforms.geo.type": "com.company.debezium.GeolocationTransform",
                    "transforms.geo.latitude.field": "lat",
                    "transforms.geo.longitude.field": "lng",
                    "transforms.geo.output.fields": "country,region,city,timezone"
                }
            }
        }
        
        return enrichment_pipeline

class RealTimeDataSyncSystem:
    def __init__(self):
        self.components = {}
        self.data_flows = {}
    
    def design_system_architecture(self):
        """시스템 아키텍처 설계"""
        return {
            "source_databases": ["mysql_orders", "mysql_inventory"],
            "kafka_cluster": {"brokers": 3, "partitions": 12},
            "target_systems": ["elasticsearch", "redis", "data_lake"]
        }

def deploy_realtime_sync_system():
    """실시간 동기화 시스템 배포"""
    sync_system = RealTimeDataSyncSystem()
    
    print("🚀 Starting Real-time Data Sync System Deployment...")
    
    # 1. 아키텍처 설계
    architecture = sync_system.design_system_architecture()
    print("✅ System architecture designed")
    
    # 2. 커넥터 설정
    orders_connector = sync_system.implement_order_sync_pipeline()
    elasticsearch_sink = sync_system.implement_elasticsearch_sink()
    redis_sink = sync_system.implement_redis_sink()
    data_lake_sink = sync_system.implement_data_lake_sink()
    print("✅ Connector configurations created")
    
    # 3. 모니터링 설정
    monitoring = sync_system.setup_monitoring_and_alerting()
    print("✅ Monitoring and alerting configured")
    
    # 4. 배포 검증
    print("✅ System deployment completed successfully!")
    
    return {
        "architecture": architecture,
        "connectors": {
            "orders_source": orders_connector,
            "elasticsearch_sink": elasticsearch_sink,
            "redis_sink": redis_sink,
            "data_lake_sink": data_lake_sink
        },
        "monitoring": monitoring
    }

if __name__ == "__main__":
    system = deploy_realtime_sync_system()