Chilkat Online Tools

SQL Server / Cognite API v1 / Create entity matcher model

Back to Collection Items

-- Important: See this note about string length limitations for strings returned by sp_OAMethod calls.
--
CREATE PROCEDURE ChilkatSample
AS
BEGIN
    DECLARE @hr int
    DECLARE @iTmp0 int
    -- Important: Do not use nvarchar(max).  See the warning about using nvarchar(max).
    DECLARE @sTmp0 nvarchar(4000)
    -- This example assumes the Chilkat API to have been previously unlocked.
    -- See Global Unlock Sample for sample code.

    DECLARE @http int
    -- Use "Chilkat_9_5_0.Http" for versions of Chilkat < 10.0.0
    EXEC @hr = sp_OACreate 'Chilkat.Http', @http OUT
    IF @hr <> 0
    BEGIN
        PRINT 'Failed to create ActiveX component'
        RETURN
    END

    DECLARE @success int

    -- 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
    -- }

    DECLARE @json int
    -- Use "Chilkat_9_5_0.JsonObject" for versions of Chilkat < 10.0.0
    EXEC @hr = sp_OACreate 'Chilkat.JsonObject', @json OUT

    EXEC sp_OAMethod @json, 'UpdateNewArray', @success OUT, 'trueMatches[0].'
    EXEC sp_OAMethod @json, 'UpdateNewArray', @success OUT, 'trueMatches[1].'
    EXEC sp_OAMethod @json, 'UpdateString', @success OUT, 'externalId', 'in irure amet'
    EXEC sp_OAMethod @json, 'UpdateString', @success OUT, 'name', 'minim'
    EXEC sp_OAMethod @json, 'UpdateString', @success OUT, 'description', 'aliqua ipsum culpa eiusmod'
    EXEC sp_OAMethod @json, 'UpdateString', @success OUT, 'featureType', 'simple'
    EXEC sp_OAMethod @json, 'UpdateString', @success OUT, 'matchFields[0].source', 'name'
    EXEC sp_OAMethod @json, 'UpdateString', @success OUT, 'matchFields[0].target', 'name'
    EXEC sp_OAMethod @json, 'UpdateString', @success OUT, 'classifier', 'randomforest'
    EXEC sp_OAMethod @json, 'UpdateBool', @success OUT, 'ignoreMissingFields', 0

    EXEC sp_OAMethod @http, 'SetRequestHeader', NULL, 'content-type', 'application/json'
    EXEC sp_OAMethod @http, 'SetRequestHeader', NULL, 'api-key', '{{api-key}}'

    DECLARE @resp int
    EXEC sp_OAMethod @http, 'PostJson3', @resp OUT, 'https://domain.com/api/v1/projects/{{project}}/context/entitymatching', 'application/json', @json
    EXEC sp_OAGetProperty @http, 'LastMethodSuccess', @iTmp0 OUT
    IF @iTmp0 = 0
      BEGIN
        EXEC sp_OAGetProperty @http, 'LastErrorText', @sTmp0 OUT
        PRINT @sTmp0
        EXEC @hr = sp_OADestroy @http
        EXEC @hr = sp_OADestroy @json
        RETURN
      END

    EXEC sp_OAGetProperty @resp, 'StatusCode', @iTmp0 OUT
    PRINT @iTmp0
    EXEC sp_OAGetProperty @resp, 'BodyStr', @sTmp0 OUT
    PRINT @sTmp0
    EXEC @hr = sp_OADestroy @resp


    EXEC @hr = sp_OADestroy @http
    EXEC @hr = sp_OADestroy @json


END
GO

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}"
    }
  }
}