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Decision Optimization model input and output data

Model input and output data adaptation

When submitting your job you can include your data inline or reference your data in your request. This data will be mapped to a file named with data identifier and used by the model. The data identifier extension will define the format of the file used.

The following adaptations are supported:
  • Tabular inline data to embed your data in your request. For example:
    "input_data": [{
         "id":"diet_food.csv",
         "fields" : ["name","unit_cost","qmin","qmax"],
         "values" : [
    	 	["Roasted Chicken", 0.84, 0, 10]
         ]
    }]
    
    This will generate the corresponding diet_food.csv file that is used as the model input file. Only csv adaptation is currently supported.
  • Inline data, that is, non-tabular data (such as an OPL .dat file or an .lp file) to embed data in your request. For example:
    "input_data": [{
         "id":"diet_food.csv",
         "content":"Input data as a base64 encoded string"
    }]
  • URL referenced data allowing you to reference files stored at a particular URL or REST data service. For example:
    "input_data_references": {
       "type": "url",
       "id": "diet_food.csv",
       "connection": {
          "verb": "GET",
          "url": "https://myserver.com/diet_food.csv",
          "headers": {
             "Content-Type": "application/x-www-form-urlencoded"
          }
       },
       "location": {}
    } 
    This will copy the corresponding diet_food.csv file that is used as the model input file.
  • Data assets allowing you to reference any data asset or connected data asset present in your space and benefit from the data connector integration capabilities. For example:
    "input_data_references": [{
           "name": "test_ref_input",
           "type": "data_asset",
           "connection": {},
           "location": {
                   "href": "/v2/assets/ASSET-ID?space_id=SPACE-ID"
           }
    }],
    "output_data_references": [{
           "type": "data_asset",
           "connection": {},
           "location": {
                   "href": "/v2/assets/ASSET-ID?space_id=SPACE-ID"
           }
    }]
    With this data asset type there are many different connections available. For more information, see Batch deployment details.
  • Connection assets allowing you to reference any data and then refer to the connection, without having to specify credentials each time. For more information, see Supported data sources in Decision Optimization. Referencing a secure connection without having to use inline credentials in the payload also offers you better security. For more information, see Example connection_asset payload.
    For example, to connect to a COS/S3 via a Connection asset:
    {
          "type" : "connection_asset",
          "id" : "diet_food.csv",
          "connection" : {
            "id" : <connection_guid>      
          },
          "location" : {
            "file_name" : "FILENAME.csv",
            "bucket" : "BUCKET-NAME"
          }
    }

    For information about the parameters used in these examples, see Deployment job definitions.

    Another example showing you how to connect to a DB2 asset via a connection asset:
    {
            "type" : "connection_asset",
            "id" : "diet_food.csv",
            "connection" : {
              "id" : <connection_guid>
            },
            "location" : {
              "table_name" : "TABLE-NAME",
              "schema_name" : "SCHEMA-NAME"
            }
    }

With this connection asset type there are many different connections available. For more information, see Batch deployment details.

You can combine different adaptations in the same request. For more information about data definitions see Adding data to an analytics project.

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