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AugeLab Studio Manual
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Tag To

This block is used to assign data to a variable name in the programming interface, rather than making a socket-to-socket connection. The data assigned with the Tag From block can be used. Especially in complex programming, it makes the program simpler and more understandable.

Tag To Node Documentation

The Tag To node in AugeLab Studio is used to send variables to be received by the Tag From node. It acts as a sender and allows the flow of variables between different parts of a data pipeline.

Node Overview

The Tag To node is used to send variables with a specific tag name. These variables can be received by the corresponding Tag From node in the data pipeline. The Tag To node sends the variables and makes them available for use in the receiving nodes.

Node Interaction

  1. 1.
    Drag and drop the Tag To node from the node library onto the canvas in AugeLab Studio.
  2. 2.
    Double-click on the Tag To node to open the node properties panel.
  3. 3.
    Enter a unique tag name in the text field provided. This tag name will be used to identify the variables sent by the Tag To node.
  4. 4.
    Connect the input socket(s) of the Tag To node to the nodes that provide the variables you want to send.
  5. 5.
    The variables connected to the input socket(s) will be sent with the specified tag name and made available for use in the receiving nodes.

Input and Output Sockets

  • Input Sockets:
    • The Tag To node has one or more input sockets, depending on the number of variables you want to send. Connect the variables you want to send to these input sockets.
  • Output Sockets:
    • The Tag To node does not have any output sockets.

Implementation Details

The Tag To node follows these steps to send variables:
  1. 1.
    Variable Selection: Connect the variables you want to send to the input sockets of the Tag To node.
  2. 2.
    Variable Tagging: Specify a unique tag name in the text field of the Tag To node. This tag name will be used to identify the variables sent by the Tag To node.
  3. 3.
    Variable Sending: When the connected variables change, the Tag To node sends the updated variables with the specified tag name.
  4. 4.
    Variable Reception: The Tag From node(s) with the same tag name will receive the variables sent by the Tag To node.
  5. 5.
    Variable Availability: The received variables can be accessed and used by connecting the output socket(s) of the Tag From node(s) to other nodes in the data pipeline.
The Tag To node ensures that the variables with the same tag name are sent to the corresponding Tag From node(s) and made available for use.

Usage

  1. 1.
    Drag and drop the Tag To node from the node library onto the canvas in AugeLab Studio.
  2. 2.
    Double-click on the Tag To node to open the node properties panel.
  3. 3.
    Enter a unique tag name in the text field. This tag name will be used to identify the variables sent by the Tag To node.
  4. 4.
    Connect the input socket(s) of the Tag To node to the nodes that provide the variables you want to send.
  5. 5.
    The variables connected to the input socket(s) will be sent with the specified tag name and made available for use in the receiving nodes.

Notes

  • The Tag To node allows you to send variables with a specific tag name to be received by the corresponding Tag From node(s).
  • The tag name specified in the Tag To node should be unique within the data pipeline to avoid conflicts.
  • The Tag To node enables the flow of variables between different parts of the data pipeline.
  • By using the Tag To and Tag From nodes, you can create flexible and dynamic data pipelines where variables can be sent and received between different nodes.
  • The Tag To and Tag From nodes enhance the capabilities of AugeLab Studio for creating complex data processing pipelines that involve communication between different nodes.
  • These nodes provide a way to decouple the data flow and enable communication between nodes that are not directly connected.
  • The Tag To and Tag From nodes are powerful tools for creating custom data processing and transformation workflows in AugeLab Studio.