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var
http: HCkHttp;
success: Boolean;
json: HCkJsonObject;
resp: HCkHttpResponse;
sbResponseBody: HCkStringBuilder;
jResp: HCkJsonObject;
respStatusCode: Integer;
Id: PWideChar;
Total: PWideChar;
status: PWideChar;
j: Integer;
count_j: Integer;
predictionDefinition: PWideChar;
MaxMiddleValues: Integer;
MaxPrescriptions: Integer;
PrescriptionImpactPercentage: Integer;
i: Integer;
count_i: Integer;
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.
// {
// "predictionDefinition": "<PREDICTION_DEFINITION_ID>",
// "type": "RawData",
// "columnNames": [
// "Quantity",
// "Category",
// "Sub_Category",
// "Sales",
// "Profit_per_Order"
// ],
// "rows": [
// [
// "2",
// "Furniture",
// "Chairs",
// "300",
// "10"
// ]
// ]
// }
json := CkJsonObject_Create();
CkJsonObject_UpdateString(json,'predictionDefinition','<PREDICTION_DEFINITION_ID>');
CkJsonObject_UpdateString(json,'type','RawData');
CkJsonObject_UpdateString(json,'columnNames[0]','Quantity');
CkJsonObject_UpdateString(json,'columnNames[1]','Category');
CkJsonObject_UpdateString(json,'columnNames[2]','Sub_Category');
CkJsonObject_UpdateString(json,'columnNames[3]','Sales');
CkJsonObject_UpdateString(json,'columnNames[4]','Profit_per_Order');
CkJsonObject_UpdateString(json,'rows[0][0]','2');
CkJsonObject_UpdateString(json,'rows[0][1]','Furniture');
CkJsonObject_UpdateString(json,'rows[0][2]','Chairs');
CkJsonObject_UpdateString(json,'rows[0][3]','300');
CkJsonObject_UpdateString(json,'rows[0][4]','10');
// Adds the "Authorization: Bearer <access_token>" header.
CkHttp_putAuthToken(http,'<access_token>');
resp := CkHttp_PostJson3(http,'https://domain.com/services/data/v{{version}}/smartdatadiscovery/predict','application/json',json);
if (CkHttp_getLastMethodSuccess(http) = False) then
begin
Memo1.Lines.Add(CkHttp__lastErrorText(http));
Exit;
end;
sbResponseBody := CkStringBuilder_Create();
CkHttpResponse_GetBodySb(resp,sbResponseBody);
jResp := CkJsonObject_Create();
CkJsonObject_LoadSb(jResp,sbResponseBody);
CkJsonObject_putEmitCompact(jResp,False);
Memo1.Lines.Add('Response Body:');
Memo1.Lines.Add(CkJsonObject__emit(jResp));
respStatusCode := CkHttpResponse_getStatusCode(resp);
Memo1.Lines.Add('Response Status Code = ' + IntToStr(respStatusCode));
if (respStatusCode >= 400) then
begin
Memo1.Lines.Add('Response Header:');
Memo1.Lines.Add(CkHttpResponse__header(resp));
Memo1.Lines.Add('Failed.');
CkHttpResponse_Dispose(resp);
Exit;
end;
CkHttpResponse_Dispose(resp);
// Sample JSON response:
// (Sample code for parsing the JSON response is shown below)
// {
// "predictionDefinition": "1OR5Y0000010ws8",
// "predictions": [
// {
// "model": {
// "id": "1Ot5Y0000010wzNSAQ"
// },
// "prediction": {
// "middleValues": [
// ],
// "total": 88.52494255547592
// },
// "prescriptions": [
// ],
// "status": "Success"
// }
// ],
// "settings": {
// "maxMiddleValues": 0,
// "maxPrescriptions": 0,
// "prescriptionImpactPercentage": 0
// }
// }
// Sample code for parsing the JSON response...
// Use this online tool to generate parsing code from sample JSON: Generate JSON Parsing Code
predictionDefinition := CkJsonObject__stringOf(jResp,'predictionDefinition');
MaxMiddleValues := CkJsonObject_IntOf(jResp,'settings.maxMiddleValues');
MaxPrescriptions := CkJsonObject_IntOf(jResp,'settings.maxPrescriptions');
PrescriptionImpactPercentage := CkJsonObject_IntOf(jResp,'settings.prescriptionImpactPercentage');
i := 0;
count_i := CkJsonObject_SizeOfArray(jResp,'predictions');
while i < count_i do
begin
CkJsonObject_putI(jResp,i);
Id := CkJsonObject__stringOf(jResp,'predictions[i].model.id');
Total := CkJsonObject__stringOf(jResp,'predictions[i].prediction.total');
status := CkJsonObject__stringOf(jResp,'predictions[i].status');
j := 0;
count_j := CkJsonObject_SizeOfArray(jResp,'predictions[i].prediction.middleValues');
while j < count_j do
begin
CkJsonObject_putJ(jResp,j);
j := j + 1;
end;
j := 0;
count_j := CkJsonObject_SizeOfArray(jResp,'predictions[i].prescriptions');
while j < count_j do
begin
CkJsonObject_putJ(jResp,j);
j := j + 1;
end;
i := i + 1;
end;
CkHttp_Dispose(http);
CkJsonObject_Dispose(json);
CkStringBuilder_Dispose(sbResponseBody);
CkJsonObject_Dispose(jResp);
Curl Command
curl -X POST
-H "Authorization: Bearer <access_token>"
-d '{
"predictionDefinition": "<PREDICTION_DEFINITION_ID>",
"type": "RawData",
"columnNames": [
"Quantity",
"Category",
"Sub_Category",
"Sales",
"Profit_per_Order"
],
"rows": [
[
"2",
"Furniture",
"Chairs",
"300",
"10"
]
]
}'
https://domain.com/services/data/v{{version}}/smartdatadiscovery/predict
Postman Collection Item JSON
{
"name": "Predict",
"request": {
"method": "POST",
"header": [
],
"body": {
"mode": "raw",
"raw": "{\n \"predictionDefinition\": \"<PREDICTION_DEFINITION_ID>\",\n \"type\": \"RawData\",\n \"columnNames\": [\n \"Quantity\",\n \"Category\",\n \"Sub_Category\",\n \"Sales\",\n \"Profit_per_Order\"\n ],\n \"rows\": [\n [\n \"2\",\n \"Furniture\",\n \"Chairs\",\n \"300\",\n \"10\"\n ]\n ]\n}",
"options": {
"raw": {
"language": "json"
}
}
},
"url": {
"raw": "{{_endpoint}}/services/data/v{{version}}/smartdatadiscovery/predict",
"host": [
"{{_endpoint}}"
],
"path": [
"services",
"data",
"v{{version}}",
"smartdatadiscovery",
"predict"
]
},
"description": "Get available prediction definitions."
},
"response": [
{
"name": "Predict",
"originalRequest": {
"method": "POST",
"header": [
],
"body": {
"mode": "raw",
"raw": "{\n \"predictionDefinition\": \"1OR5Y0000010ws8WAA\",\n \"type\": \"RawData\",\n \"columnNames\": [\n \"Quantity\",\n \"Category\",\n \"Sub_Category\",\n \"Sales\",\n \"Profit_per_Order\"\n ],\n \"rows\": [\n [\n \"2\",\n \"Furniture\",\n \"Chairs\",\n \"300\",\n \"10\"\n ]\n ]\n}",
"options": {
"raw": {
"language": "json"
}
}
},
"url": {
"raw": "{{_endpoint}}/services/data/v{{version}}/smartdatadiscovery/predict",
"host": [
"{{_endpoint}}"
],
"path": [
"services",
"data",
"v{{version}}",
"smartdatadiscovery",
"predict"
]
}
},
"status": "Created",
"code": 201,
"_postman_previewlanguage": "json",
"header": [
{
"key": "Date",
"value": "Thu, 04 Mar 2021 13:53:39 GMT"
},
{
"key": "Strict-Transport-Security",
"value": "max-age=31536002; includeSubDomains"
},
{
"key": "Expect-CT",
"value": "max-age=86400, report-uri=\"https://a.forcesslreports.com/Expect-CT-report/00D5Y000001crJvm\""
},
{
"key": "X-Content-Type-Options",
"value": "nosniff"
},
{
"key": "X-XSS-Protection",
"value": "1; mode=block"
},
{
"key": "X-Robots-Tag",
"value": "none"
},
{
"key": "Cache-Control",
"value": "no-cache,must-revalidate,max-age=0,no-store,private"
},
{
"key": "Content-Type",
"value": "application/json;charset=UTF-8"
},
{
"key": "Vary",
"value": "Accept-Encoding"
},
{
"key": "Content-Encoding",
"value": "gzip"
},
{
"key": "Transfer-Encoding",
"value": "chunked"
}
],
"cookie": [
],
"body": "{\n \"predictionDefinition\": \"1OR5Y0000010ws8\",\n \"predictions\": [\n {\n \"model\": {\n \"id\": \"1Ot5Y0000010wzNSAQ\"\n },\n \"prediction\": {\n \"middleValues\": [],\n \"total\": 88.52494255547592\n },\n \"prescriptions\": [],\n \"status\": \"Success\"\n }\n ],\n \"settings\": {\n \"maxMiddleValues\": 0,\n \"maxPrescriptions\": 0,\n \"prescriptionImpactPercentage\": 0\n }\n}"
}
]
}
