Chilkat Online Tools

VBScript / Cognite API v1 / Create entity matcher model

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Dim fso, outFile
Set fso = CreateObject("Scripting.FileSystemObject")
'Create a Unicode (utf-16) output text file.
Set outFile = fso.CreateTextFile("output.txt", True, True)

' This example assumes the Chilkat API to have been previously unlocked.
' See Global Unlock Sample for sample code.

' For versions of Chilkat < 10.0.0, use CreateObject("Chilkat_9_5_0.Http")
set http = CreateObject("Chilkat.Http")

' Use this online tool to generate code from sample JSON: Generate Code to Create JSON

' The following JSON is sent in the request body.

' {
'   "sources": [
'     {},
'     {}
'   ],
'   "targets": [
'     {},
'     {}
'   ],
'   "trueMatches": [
'     [
'     ],
'     [
'     ]
'   ],
'   "externalId": "in irure amet",
'   "name": "minim",
'   "description": "aliqua ipsum culpa eiusmod",
'   "featureType": "simple",
'   "matchFields": [
'     {
'       "source": "name",
'       "target": "name"
'     }
'   ],
'   "classifier": "randomforest",
'   "ignoreMissingFields": false
' }

' For versions of Chilkat < 10.0.0, use CreateObject("Chilkat_9_5_0.JsonObject")
set json = CreateObject("Chilkat.JsonObject")
success = json.UpdateNewArray("trueMatches[0].")
success = json.UpdateNewArray("trueMatches[1].")
success = json.UpdateString("externalId","in irure amet")
success = json.UpdateString("name","minim")
success = json.UpdateString("description","aliqua ipsum culpa eiusmod")
success = json.UpdateString("featureType","simple")
success = json.UpdateString("matchFields[0].source","name")
success = json.UpdateString("matchFields[0].target","name")
success = json.UpdateString("classifier","randomforest")
success = json.UpdateBool("ignoreMissingFields",0)

http.SetRequestHeader "content-type","application/json"
http.SetRequestHeader "api-key","{{api-key}}"

' resp is a Chilkat.HttpResponse
Set resp = http.PostJson3("https://domain.com/api/v1/projects/{{project}}/context/entitymatching","application/json",json)
If (http.LastMethodSuccess = 0) Then
    outFile.WriteLine(http.LastErrorText)
    WScript.Quit
End If

outFile.WriteLine(resp.StatusCode)
outFile.WriteLine(resp.BodyStr)


outFile.Close

Curl Command

curl -X POST
	-H "api-key: {{api-key}}"
	-H "content-type: application/json"
	-d '{
    "sources": [
        {},
        {}
    ],
    "targets": [
        {},
        {}
    ],
    "trueMatches": [
        [],
        []
    ],
    "externalId": "in irure amet",
    "name": "minim",
    "description": "aliqua ipsum culpa eiusmod",
    "featureType": "simple",
    "matchFields": [
        {
            "source": "name",
            "target": "name"
        }
    ],
    "classifier": "randomforest",
    "ignoreMissingFields": false
}'
https://domain.com/api/v1/projects/{{project}}/context/entitymatching

Postman Collection Item JSON

{
  "id": "entityMatchingCreate",
  "name": "Create entity matcher model",
  "request": {
    "url": {
      "host": "{{baseUrl}}",
      "path": [
        "api",
        "v1",
        "projects",
        "{{project}}",
        "context",
        "entitymatching"
      ],
      "query": [
      ],
      "variable": [
      ]
    },
    "method": "POST",
    "header": [
      {
        "key": "api-key",
        "value": "{{api-key}}",
        "description": "An admin can create API keys in the Cognite console."
      },
      {
        "key": "content-type",
        "value": "application/json"
      }
    ],
    "description": "Note: All users on this CDF subscription with assets read-all and entitymatching read-all and write-all capabilities in the project, are able to access the data sent to this endpoint. Train a model that predicts matches between entities (for example, time series names to asset names). This is also known as fuzzy joining. If there are no trueMatches (labeled data), you train a static (unsupervised) model, otherwise a machine learned (supervised) model is trained.",
    "body": {
      "mode": "raw",
      "raw": "{\n    \"sources\": [\n        {},\n        {}\n    ],\n    \"targets\": [\n        {},\n        {}\n    ],\n    \"trueMatches\": [\n        [],\n        []\n    ],\n    \"externalId\": \"in irure amet\",\n    \"name\": \"minim\",\n    \"description\": \"aliqua ipsum culpa eiusmod\",\n    \"featureType\": \"simple\",\n    \"matchFields\": [\n        {\n            \"source\": \"name\",\n            \"target\": \"name\"\n        }\n    ],\n    \"classifier\": \"randomforest\",\n    \"ignoreMissingFields\": false\n}"
    }
  }
}