content: /*
   * Copyright 2024-2025 the original author or authors.
   *
   * Licensed 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
   *
   *      https://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.
   */
  
  package com.alibaba.cloud.ai.studio.admin.generator.service.dsl.converter;
  
  import com.alibaba.cloud.ai.studio.admin.generator.model.workflow.NodeType;
  import com.alibaba.cloud.ai.studio.admin.generator.model.workflow.nodedata.MiddleOutputNodeData;
  import com.alibaba.cloud.ai.studio.admin.generator.service.dsl.AbstractNodeDataConverter;
  import com.alibaba.cloud.ai.studio.admin.generator.service.dsl.DSLDialectType;
  import com.alibaba.cloud.ai.studio.admin.generator.utils.MapReadUtil;
  import com.fasterxml.jackson.core.JsonProcessingException;
  import org.springframework.stereotype.Component;
  
  import java.util.List;
  import java.util.Map;
  import java.util.Optional;
  import java.util.function.BiConsumer;
  import java.util.stream.Stream;
  
  @Component
  public class MiddleOutputNodeDataConverter extends AbstractNodeDataConverter<MiddleOutputNodeData> {
  
  	@Override
  	public Boolean supportNodeType(NodeType nodeType) {
  		return NodeType.MIDDLE_OUTPUT.equals(nodeType);
  	}
  
  	@Override
  	public String generateVarName(int count) {
  		return "middleOutput" + count;
  	}
  
  	@Override
  	public BiConsumer<MiddleOutputNodeData, Map<String, String>> postProcessConsumer(DSLDialectType dialectType) {
  		return switch (dialectType) {
  			case STUDIO -> emptyProcessConsumer().andThen((nodeData, idToVarName) -> {
  				// 设置输出键
  				nodeData.setOutputs(MiddleOutputNodeData.getDefaultOutputSchemas(dialectType));
  				nodeData.setOutputKey(nodeData.getVarName() + "_" + nodeData.getOutputs().get(0).getName());
  				// 将输出模板进行处理
  				nodeData
  					.setOutputTemplate(this.convertVarTemplate(dialectType, nodeData.getOutputTemplate(), idToVarName));
  				nodeData.setVarKeys(this.getVarTemplateKeys(nodeData.getOutputTemplate()));
  			}).andThen(super.postProcessConsumer(dialectType));
  			default -> super.postProcessConsumer(dialectType);
  		};
  	}
  
  	private enum MiddleOutputNodeConverter {
  
  		STUDIO(new DialectConverter<>() {
  			@Override
  			public Boolean supportDialect(DSLDialectType dialectType) {
  				return DSLDialectType.STUDIO.equals(dialectType);
  			}
  
  			@Override
  			public MiddleOutputNodeData parse(Map<String, Object> data) throws JsonProcessingException {
  				MiddleOutputNodeData nodeData = new MiddleOutputNodeData();
  				String outputTemplate = MapReadUtil.getMapDeepValue(data, String.class, "config", "node_param",
  						"output");
  				nodeData.setOutputTemplate(Optional.ofNullable(outputTemplate).orElse(""));
  				return nodeData;
  			}
  
  			@Override
  			public Map<String, Object> dump(MiddleOutputNodeData nodeData) {
  				throw new UnsupportedOperationException();
  			}
  		}), CUSTOM(defaultCustomDialectConverter(MiddleOutputNodeData.class));
  
  		private final DialectConverter<MiddleOutputNodeData> converter;
  
  		MiddleOutputNodeConverter(DialectConverter<MiddleOutputNodeData> converter) {
  			this.converter = converter;
  		}
  
  		public DialectConverter<MiddleOutputNodeData> dialectConverter() {
  			return converter;
  		}
  
  	}
  
  	@Override
  	protected List<DialectConverter<MiddleOutputNodeData>> getDialectConverters() {
  		return Stream.of(MiddleOutputNodeConverter.values()).map(MiddleOutputNodeConverter::dialectConverter).toList();
  	}
  
  }
  