Viewing & Managing a Recipe from the Canvas

When you add a recipe to the canvas, a recipe node appears. Clicking this node opens a side panel that provides detailed information and actions related to the selected recipe.

Follow these steps to view and manage all available options from the recipe side panel:

To View Recipe Options:

1. Click the recipe node (or block) on the canvas. This opens a pull-out side panel.

2. Perform the following available actions:

   • Preview Click Preview to view the contents and configuration of the added recipe.

   • Run Click Run to execute the recipe as part of the pipeline. Once the run starts, a Stop button appears, allowing you to terminate the run at any time.

   • Logs Click the Logs icon to:

     • View real-time logs while the recipe is running.

     • Access past logs for debugging or review.

   • AI Snippet (if applicable) If the AI snippet generator has been used, the Significance of this recipe node appears. You can update this content anytime by clicking Update Content.

   • Actions Menu:

     • Click the Actions button in the side panel to:

       • Duplicate the recipe on the canvas.

       • Delete the recipe from the canvas.

3. View the Recipe Details:

   • Recipe Type: Indicates whether it’s a Template Recipe, Rapid Model Recipe, Code Recipe, or AI-Assisted Recipe.

   • Created: The creation date of the recipe.

   • Last Modified: The date the recipe was last updated.

   • Last Successful Build: When the recipe was last successfully built.

   • Last Successful Run Time: The duration of the most recent successful run.

   • Last Updated By: The user who last made changes to the recipe.

   • Timeout: By default, the duration is set to 6 hours. You can change the duration based on the complexity of the recipe you are running in the flow. If the recipe runs longer than this, the recipe run will be terminated after the set period. It is expressed in hrs.

4. View the input datasets provided to the recipe.

5. View the outputs generated after the recipe run. Outputs may include:

   • Datasets

   • Artifacts

   • Models

   • Charts

You can click on each output or input item to explore its detailed information.