Generate Test Data

To generate test data, you need to know your workspace identifier and Data Model identifier. The sample code uses a workspaceId of 123456. Use the actual ID values of your workspace and Data Model.

You can generate data for a data model that is stored in the Asset Repository, or you can pass the Data Model in a request to the generate endpoint.

Generate Data for a Data Entity (Asset Repository)

Assuming you have stored the Data Model in the Asset Repository and have the id of the asset (dataModelId), you can generate data using the following call.

API Explorer: /testdata

Optionally, the body can contain a so-called Model Override; for more information, see Data Structures.

The response contains a JSON array with generated data and billingLimits information. The billingLimits conveys information whether the billing limits have been applied or not.

In case of a Data Model validation error, a 400 response code and a detailed validation report are retuned.

Generate Test Data

curl 'https://tdm.blazemeter.com/api/v1/workspaces/123456/datamodels/55/generate'
-X POST \
-H 'accept: application/json' 
-H 'Content-Type: application/json'

Sample 200 response

{
  "api_version": 1,
  "total": 5,
  "billingLimits": {
    "total": 10000,
    "entity": {
      "user": {
        "apply": true,
        "applied": false,
        "requested": 5,
        "generated": 5
      }
    }
  },
  "user": [
    {      "randomName": "RE5ONP3"    },
    {      "randomName": "YDBgwvWn3"  },
    {      "randomName": "c0BcQJg"    },
    {      "randomName": "HPgVyan"    },
    {      "randomName": "yanUhmHqs"  }
  ],
  "request_id": "a2c28c09"
}

Generate Data for a Data Entity (Single Entity)

In some situations you don’t have a Data Model stored in the Asset Repository, but you store it somewhere else, or you keep it in memory. To generate data for such a model, use the /generate endpoint. Note that this endpoint generates data for one entity only (use /generatefile below if you need to generate all entities).

API Explorer: /testdata

The following JSON sample provides a more readable version of the content contained in the above curl example. This example represents the attributes and values contained in the -d flag of the curl example.

Generate Test Data

curl 'https://tdm.blazemeter.com/api/v1/workspaces/123456/testdata/generate?entityName=user' \
    -X POST \
    -H 'accept: application/json' 
	-H 'Content-Type: application/json' \
	-d '{  "data": {
        "type": "datamodel",
        "attributes": {
            "model": {
            "schema": "http://perforce.com/blazedata/schema",
            "id": "datamodels/testParameters", "title": "Test Parameters",
            "description": "", "kind": "tdm", "type": "object",
            "entities": {
              "user": {
                "title": "user", "type": "object",
                "properties": { "name": { "type": "string"  } },
                "requirements": { "name": "randText(3, 10)" },
                "targets": { "defaultCsv": { "type": "csv", "file": "user.csv", "isHeadless": false } },
                "datasources": [], "repeat": 1
              }
            }
          },
          "context": { "csvs": [] }
        }
    }}'

The following parameters are the base parameters required to generate test data.

Generate Test DataGenerate Test Data POST Body (JSON)

{
	"data": {
    "type": "datamodel",
    "attributes": {
      "model": {
        "schema": "http://perforce.com/blazedata/schema",
        "id": "datamodels/testParameters",
        "title": "Test Parameters",
        "description": "",
        "kind": "tdm",
        "type": "object",
        "entities": {
          "user": {
            "title": "user",
            "type": "object",
            "properties": {
              "name": {
                "type": "string"
              }
            },
            "requirements": {
              "name": "randText(3, 10)"
            },
            "targets": {
              "defaultCsv": {
                "type": "csv",
                "file": "user.csv",
                "isHeadless": false
              }
            },
            "datasources": [],
            "repeat": 1
          }
        }
      },
      "context": {
        "csvs": []
      }
    }
  }
} 
}