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- | ====== Tutorial: Automation Scripting - Combinatorial Model ====== | ||
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- | Learning Objectives: | ||
- | * [[#Model scripting]] | ||
- | * [[#Looping DataTable]] | ||
- | * [[# | ||
- | * [[# | ||
- | * [[#Remote Execution]] | ||
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- | This tutorial assumes that you are familiar with how to create a Combinatorial Data Model and have created a simple model with at least 2 variables named Field1 and Field2 and have generated the DataTable. | ||
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- | ===== Model scripting ===== | ||
- | [[https:// | ||
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- | //Groovy// script is syntactically very similar to most of programming language that allows you to create classes, functions and basic logic and arithmetic operations. | ||
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- | Unlike [[scripting_state_model | scripting for State Model]], you just write your script right in [[../ | ||
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- | Run the model, you should see following returned and displayed on [[../ | ||
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- | Total number of rows in DataTable: 10 | ||
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- | ===== Looping DataTable ===== | ||
- | To perform the testing on all rows in DataTable, you must loop through each row in DataTable ($DATASET.getDataRows()). You can do this with //for// loop: | ||
- | for (Map< | ||
- | $DATASET.notifyClient(row); | ||
- | } | ||
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- | ===== Activating Plugins ===== | ||
- | Just like [[scripting_state_model | scripting for State Model]], you need to activate plugins to interact with AUT to perform the testing on each row in the DataTable. | ||
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- | For this tutorial, activate //Random// plugin, and modify the script to use // | ||
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- | for (Map< | ||
- | if ($RANDOM.randNum(0, | ||
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- | } | ||
- | else { | ||
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- | } | ||
- | $DATASET.notifyClient(row); | ||
- | } | ||
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- | Make changes to your script to incorporate the plugin function calls and re-run the model. | ||
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- | ===== Exporting results ===== | ||
- | When running the model in IDE, you can export/ | ||
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- | After model execution completes, you can export the results by menu //File / Export// or {{wiki: | ||
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- | Try the export and review the result file downloaded. | ||
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- | If you are running model remotely using [[../ | ||
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- | ===== Remote Execution ===== | ||
- | You may run your data model remotely using REST api: | ||
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- | curl -X POST " | ||
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