text: # Licensed to the Apache Software Foundation (ASF) under one
  # or more contributor license agreements.  See the NOTICE file
  # distributed with this work for additional information
  # regarding copyright ownership.  The ASF licenses this file
  # to you under the Apache License, Version 2.0 (the
  # "License"); you may not use this file except in compliance
  # with the License.  You may obtain a copy of the License at
  #
  #   http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing,
  # software distributed under the License is distributed on an
  # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
  # KIND, either express or implied.  See the License for the
  # specific language governing permissions and limitations
  # under the License.
  
  from typing import Any, Dict
  
  from sqlalchemy.orm import Session
  
  from superset.connectors.sqla.models import SqlaTable
  
  
  def import_dataset(
      session: Session, config: Dict[str, Any], overwrite: bool = False
  ) -> SqlaTable:
      existing = session.query(SqlaTable).filter_by(uuid=config["uuid"]).first()
      if existing:
          if not overwrite:
              return existing
          config["id"] = existing.id
  
      # should we delete columns and metrics not present in the current import?
      sync = ["columns", "metrics"] if overwrite else []
  
      # import recursively to include columns and metrics
      dataset = SqlaTable.import_from_dict(session, config, recursive=True, sync=sync)
      if dataset.id is None:
          session.flush()
  
      return dataset
  