content: /*
   * Copyright 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.core.workflow.processor.impl;
  
  import com.alibaba.cloud.ai.studio.runtime.enums.ErrorCode;
  import com.alibaba.cloud.ai.studio.runtime.domain.workflow.Edge;
  import com.alibaba.cloud.ai.studio.runtime.domain.workflow.Node;
  import com.alibaba.cloud.ai.studio.runtime.domain.workflow.NodeResult;
  import com.alibaba.cloud.ai.studio.runtime.domain.workflow.NodeStatusEnum;
  import com.alibaba.cloud.ai.studio.runtime.domain.workflow.NodeTypeEnum;
  import com.alibaba.cloud.ai.studio.runtime.utils.JsonUtils;
  import com.alibaba.cloud.ai.studio.core.config.CommonConfig;
  import com.alibaba.cloud.ai.studio.core.base.manager.RedisManager;
  import com.alibaba.cloud.ai.studio.core.workflow.WorkflowContext;
  import com.alibaba.cloud.ai.studio.core.workflow.WorkflowInnerService;
  import com.alibaba.cloud.ai.studio.core.workflow.processor.AbstractExecuteProcessor;
  import lombok.extern.slf4j.Slf4j;
  import org.jgrapht.graph.DirectedAcyclicGraph;
  import org.springframework.ai.chat.memory.ChatMemory;
  import org.springframework.stereotype.Component;
  
  import java.util.List;
  
  import static com.alibaba.cloud.ai.studio.core.base.constants.CacheConstants.WORKFLOW_TASK_CONTEXT_PREFIX;
  
  /**
   * Input Node Processor
   * <p>
   * This processor is responsible for handling input nodes in the workflow. It manages user
   * input collection and timeout handling for workflow execution.
   * <p>
   * Features: 1. Manages input node state transitions 2. Handles input timeout scenarios 3.
   * Supports asynchronous input collection 4. Maintains workflow context during input
   * waiting
   *
   * @version 1.0.0-M1
   */
  @Slf4j
  @Component("InputExecuteProcessor")
  public class InputExecuteProcessor extends AbstractExecuteProcessor {
  
  	/**
  	 * Constructor for InputExecuteProcessor
  	 * @param redisManager Redis manager for caching
  	 * @param workflowInnerService Workflow inner service for context management
  	 * @param conversationChatMemory Chat memory for conversation context
  	 * @param commonConfig Common configuration settings
  	 */
  	public InputExecuteProcessor(RedisManager redisManager, WorkflowInnerService workflowInnerService,
  			ChatMemory conversationChatMemory, CommonConfig commonConfig) {
  		super(redisManager, workflowInnerService, conversationChatMemory, commonConfig);
  	}
  
  	/**
  	 * Execute the input node processing This method handles the input collection process,
  	 * including: 1. Setting up the node in pause state 2. Waiting for user input 3.
  	 * Handling timeout scenarios 4. Managing state transitions
  	 * @param graph The workflow graph
  	 * @param node The current node to execute
  	 * @param context The workflow context
  	 * @return NodeResult containing the input processing status and results
  	 */
  	@Override
  	public NodeResult innerExecute(DirectedAcyclicGraph<String, Edge> graph, Node node, WorkflowContext context) {
  		// Set to pause state
  		NodeResult nodeResult = new NodeResult();
  		nodeResult.setNodeId(node.getId());
  		nodeResult.setNodeName(node.getName());
  		nodeResult.setNodeType(node.getType());
  		nodeResult.setUsages(null);
  		List<Node.OutputParam> outputParams = node.getConfig().getOutputParams();
  		nodeResult.setInput(JsonUtils.toJson(outputParams));
  		nodeResult.setNodeStatus(NodeStatusEnum.PAUSE.getCode());
  		context.setTaskStatus(NodeStatusEnum.PAUSE.getCode());
  		context.getNodeResultMap().put(node.getId(), nodeResult);
  		// Force refresh context
  		// workflowInnerService.forceRefreshContextCache(context);
  
  		long startTime = System.currentTimeMillis();
  		long timeout = commonConfig.getInputTimeout(); // 5 minutes timeout
  
  		while (NodeStatusEnum.PAUSE.getCode().equals(nodeResult.getNodeStatus())) {
  			// Re-fetch node result
  			WorkflowContext wfContext = redisManager
  				.get(WORKFLOW_TASK_CONTEXT_PREFIX + context.getWorkspaceId() + "_" + context.getTaskId());
  			nodeResult = wfContext.getNodeResultMap().get(node.getId());
  			try {
  				// Avoid CPU spinning, wait 500ms each time
  				Thread.sleep(500);
  			}
  			catch (InterruptedException e) {
  				log.error("Interrupted while waiting for input node result", e);
  				Thread.currentThread().interrupt();
  			}
  
  			// Check for timeout
  			if (System.currentTimeMillis() - startTime > timeout) {
  				nodeResult.setNodeStatus(NodeStatusEnum.FAIL.getCode());
  				nodeResult.setErrorInfo("Input node waiting timeout");
  				nodeResult.setError(ErrorCode.WORKFLOW_EXECUTE_ERROR.toError("input node waiting timeout"));
  				return nodeResult;
  			}
  		}
  
  		// Restore workflow context
  		nodeResult.setNodeStatus(NodeStatusEnum.EXECUTING.getCode());
  		context.setTaskStatus(NodeStatusEnum.EXECUTING.getCode());
  		context.getNodeResultMap().put(node.getId(), nodeResult);
  
  		return nodeResult;
  	}
  
  	@Override
  	public String getNodeType() {
  		return NodeTypeEnum.INPUT.getCode();
  	}
  
  	@Override
  	public String getNodeDescription() {
  		return NodeTypeEnum.INPUT.getDesc();
  	}
  
  }
  