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tutorial:scripting_comb_data_model [2020/07/18 02:42]
admin [Model scripting] 		tutorial:scripting_comb_data_model [2021/01/05 03:00] (current)
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 Learning Objectives: Learning Objectives:
-  * Model scripting +  * [[#Model scripting]] 
-  * Looping through DataTable +  * [[#Looping DataTable]] 
-  * Activating plugins +  * [[#Activating plugins]] 
-  * Persisting and exporting results+  * [[#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. 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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    $DATASET.notifyClient('Total number of rows in DataTable: ' + $DATASET.getDataRows().size());    $DATASET.notifyClient('Total number of rows in DataTable: ' + $DATASET.getDataRows().size());
  
-Run the model, you should see following returned and displayed on IDE:+Run the model, you should see following returned and displayed on [[../data_design_ide#execute | IDE Execute]] tab:
  
    Total number of rows in DataTable: 10    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);
 +   }
 +
  
  
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       $DATASET.notifyClient(row);       $DATASET.notifyClient(row);
    }    }
 +   
 +Make changes to your script to incorporate the plugin function calls and re-run the model.   
 +
 +===== Exporting results =====
 +When running the model in IDE, you can export/download the execution results in [[../data_design_ide#execute | IDE Execute]] tab. 
 +
 +After model execution completes, you can export the results by menu //File / Export// or {{wiki:overview:tut_comb_btn_export.png?20}}.
 +
 +Try the export and review the result file downloaded.
 +
 +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:
 +
 +   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\"}"
 +
 +Replace "modelName" and "path" with your values accordingly.
 +
 +The output is written to "outputFile" in //work// folder if specified.