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Manage and manipulate cloud data efficiently within workflows for organization and transformation.
The 0246.Cloud node is designed to manage and manipulate cloud data within a workflow, providing a flexible and powerful way to handle complex data structures. This node allows you to input cloud data, process it, and output the results for further use in your workflow. The primary goal of the 0246.Cloud node is to facilitate the organization and transformation of cloud data, making it easier to manage and utilize in various applications. By leveraging the capabilities of this node, you can efficiently handle data grouping, duplication, and flipping, among other operations, to optimize your workflow and achieve desired outcomes.
This parameter is a dictionary that contains the essential data needed for the node to function. It is mandatory and must be provided for the node to execute properly. The required data is used to initialize and process the cloud data, ensuring that the node has all the necessary information to perform its tasks.
This parameter is a dictionary that includes optional data that can be provided to the node. The key "cloud" within this dictionary refers to a "CLOUD_DATA" object. This optional data can enhance the node's functionality by providing additional context or information that can be used during the execution process. If not provided, the node will still function but may have limited capabilities.
This parameter is a dictionary that contains hidden data used internally by the node. It includes "_prompt" (a prompt string), "_id" (a unique identifier), and "_workflow" (extra workflow information). These hidden parameters are not meant to be modified by the user but are essential for the internal workings of the node, ensuring that it can track and manage the cloud data correctly.
This output parameter is a tuple that represents the processed cloud data. The "CLOUD_PIPE" output is the primary result of the node's execution, containing the transformed cloud data that can be used in subsequent nodes or steps within the workflow. This output is crucial for continuing the data processing pipeline and achieving the desired results.
This output parameter is a tuple that provides the name of the output cloud data. The "_cloud_out" output is used to identify the processed cloud data, making it easier to reference and utilize in other parts of the workflow. This output ensures that the cloud data can be seamlessly integrated into the overall workflow, maintaining consistency and organization.
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