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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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