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tutorial:scripting_comb_data_model [2020/07/18 22:30] – [Remote Execution] admintutorial:scripting_comb_data_model [2024/01/03 19:54] (current) – removed admin
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-====== Tutorial: Automation Scripting - Combinatorial Model ====== 
- 
-Learning Objectives: 
-  * [[#Model scripting]] 
-  * [[#Looping DataTable]] 
-  * [[#Activating plugins]] 
-  * [[#Exporting results]] 
-  * [[#Remote Execution]] 
- 
-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.  Please refer to [[comb_data_modeling | Combinatorial Data Modeling]] if you need assistance in creating the model. 
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- 
-===== Model scripting ===== 
-[[https://groovy-lang.org/syntax.html | Apache Groovy]] script is the scripting language for your models.   
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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 [[../data_design_ide#script | SCRIPT]] tab. In your script you would just loop through the rows in DataTable.  Below is an example of script: 
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-   $DATASET.notifyClient('Total number of rows in DataTable: ' + $DATASET.getDataRows().size()); 
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-Run the model, you should see following returned and displayed on [[../data_design_ide#execute | IDE Execute]] tab: 
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-   Total number of rows in DataTable: 10 
- 
- 
-===== Looping DataTable ===== 
-To perform the testing on all rows in DataTable, you must loop through each row in DataTable ($DATASET.getDataRows()). You can do this with //for// loop: 
-   for (Map<String,String> row: $DATASET.getDataRows()) { 
-      $DATASET.notifyClient(row); 
-   } 
- 
- 
- 
-===== Activating Plugins ===== 
-Just like [[scripting_state_model | scripting for State Model]], you need to activate plugins to interact with AUT to perform the testing on each row in the DataTable. 
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-For this tutorial, activate //Random// plugin, and modify the script to use //$RANDOM.randNum(...)// to determine the failure/success as below: 
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-   for (Map<String,String> row: $DATASET.getDataRows()) { 
-      if ($RANDOM.randNum(0,10) > 5) { 
-         row._result = "Successful run on " + row.Field1 + ", " + row.Field2; 
-         row._status = true; 
-      } 
-      else { 
-         row._result = "Failed run on " + row.Field1 + ", " + row.Field2; 
-         row._status = false; 
-      } 
-      $DATASET.notifyClient(row); 
-   } 
-    
-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/download the execution results in [[../data_design_ide#execute | IDE Execute]] tab.  
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-After model execution completes, you can export the results by menu //File / Export// or {{wiki:overview:tut_comb_btn_export.png?20}}. 
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-Try the export and review the result file downloaded. 
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-If you are running model remotely using [[../integration#rest_apis | REST api]], you may specify the file location to save the execution results, see next section for details. 
- 
- 
-===== Remote Execution ===== 
-You may run your data model remotely using REST api: 
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-   curl -X POST "http://localhost:8888/api/v1/runtime/dataset/run/sync" -H  "accept: application/json" -H  "Content-Type: application/json" -d " \"modelName\": \"DEMO_Insurance_API\", \"path\": \"Demo_CombinatorialTesting\", \"outputFile\": \"myOutputFile.txt\"}" 
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-Replace "modelName" and "path" with your values accordingly. 
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-The output is written to "outputFile" in //work// folder if specified. 
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- 
-