delphiDll / Cognite API v1 / Create entity matcher model
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var
http: HCkHttp;
success: Boolean;
json: HCkJsonObject;
resp: HCkHttpResponse;
begin
// This example assumes the Chilkat API to have been previously unlocked.
// See Global Unlock Sample for sample code.
http := CkHttp_Create();
// 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
// }
json := CkJsonObject_Create();
CkJsonObject_UpdateNewArray(json,'trueMatches[0].');
CkJsonObject_UpdateNewArray(json,'trueMatches[1].');
CkJsonObject_UpdateString(json,'externalId','in irure amet');
CkJsonObject_UpdateString(json,'name','minim');
CkJsonObject_UpdateString(json,'description','aliqua ipsum culpa eiusmod');
CkJsonObject_UpdateString(json,'featureType','simple');
CkJsonObject_UpdateString(json,'matchFields[0].source','name');
CkJsonObject_UpdateString(json,'matchFields[0].target','name');
CkJsonObject_UpdateString(json,'classifier','randomforest');
CkJsonObject_UpdateBool(json,'ignoreMissingFields',False);
CkHttp_SetRequestHeader(http,'content-type','application/json');
CkHttp_SetRequestHeader(http,'api-key','{{api-key}}');
resp := CkHttp_PostJson3(http,'https://domain.com/api/v1/projects/{{project}}/context/entitymatching','application/json',json);
if (CkHttp_getLastMethodSuccess(http) = False) then
begin
Memo1.Lines.Add(CkHttp__lastErrorText(http));
Exit;
end;
Memo1.Lines.Add(IntToStr(CkHttpResponse_getStatusCode(resp)));
Memo1.Lines.Add(CkHttpResponse__bodyStr(resp));
CkHttpResponse_Dispose(resp);
CkHttp_Dispose(http);
CkJsonObject_Dispose(json);
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}"
}
}
}