import logging
from typing import Any, Dict, Optional
from metaworkflows.engines.base import BaseEngine
from metaworkflows.core.connections import BaseConnectionManager

logger = logging.getLogger(__name__)

class FlinkEngine(BaseEngine):
    def __init__(self, engine_config: Dict[str, Any], connections: BaseConnectionManager):
        super().__init__(engine_config, connections)
        # Initialize Flink specific session/environment objects here
        self.env = None # Placeholder for Flink StreamExecutionEnvironment or TableEnvironment
        logger.info("FlinkEngine initialized (placeholder).")

    def initialize(self):
        logger.warning("FlinkEngine initialize() is not yet implemented.")
        # Example:
        # from pyflink.table import StreamTableEnvironment, EnvironmentSettings
        # self.env = StreamTableEnvironment.create(environment_settings=EnvironmentSettings.in_streaming_mode())
        pass

    def read(self, connector_type: str, connection_ref: Optional[str], options: Dict[str, Any]) -> Any:
        logger.warning("FlinkEngine read() is not yet implemented.")
        raise NotImplementedError("FlinkEngine read is not implemented.")

    def transform(self, step_config: Any, dataframes: Dict[str, Any]) -> Any:
        logger.warning("FlinkEngine transform() is not yet implemented.")
        raise NotImplementedError("FlinkEngine transform is not implemented.")

    def write(self, dataframe: Any, connector_type: str, connection_ref: Optional[str], options: Dict[str, Any]):
        logger.warning("FlinkEngine write() is not yet implemented.")
        raise NotImplementedError("FlinkEngine write is not implemented.")

    def cleanup(self):
        logger.info("FlinkEngine cleanup (placeholder).")
        # No specific cleanup for now
        pass