Chilkat Online Tools

C++ / Salesforce Platform APIs / Predict

Back to Collection Items

#include <CkHttp.h>
#include <CkJsonObject.h>
#include <CkHttpResponse.h>
#include <CkStringBuilder.h>

void ChilkatSample(void)
    {
    // This example assumes the Chilkat API to have been previously unlocked.
    // See Global Unlock Sample for sample code.

    CkHttp http;
    bool success;

    // 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"
    //     ]
    //   ]
    // }

    CkJsonObject json;
    json.UpdateString("predictionDefinition","<PREDICTION_DEFINITION_ID>");
    json.UpdateString("type","RawData");
    json.UpdateString("columnNames[0]","Quantity");
    json.UpdateString("columnNames[1]","Category");
    json.UpdateString("columnNames[2]","Sub_Category");
    json.UpdateString("columnNames[3]","Sales");
    json.UpdateString("columnNames[4]","Profit_per_Order");
    json.UpdateString("rows[0][0]","2");
    json.UpdateString("rows[0][1]","Furniture");
    json.UpdateString("rows[0][2]","Chairs");
    json.UpdateString("rows[0][3]","300");
    json.UpdateString("rows[0][4]","10");

    // Adds the "Authorization: Bearer <access_token>" header.
    http.put_AuthToken("<access_token>");

    CkHttpResponse *resp = http.PostJson3("https://domain.com/services/data/v{{version}}/smartdatadiscovery/predict","application/json",json);
    if (http.get_LastMethodSuccess() == false) {
        std::cout << http.lastErrorText() << "\r\n";
        return;
    }

    CkStringBuilder sbResponseBody;
    resp->GetBodySb(sbResponseBody);

    CkJsonObject jResp;
    jResp.LoadSb(sbResponseBody);
    jResp.put_EmitCompact(false);

    std::cout << "Response Body:" << "\r\n";
    std::cout << jResp.emit() << "\r\n";

    int respStatusCode = resp->get_StatusCode();
    std::cout << "Response Status Code = " << respStatusCode << "\r\n";
    if (respStatusCode >= 400) {
        std::cout << "Response Header:" << "\r\n";
        std::cout << resp->header() << "\r\n";
        std::cout << "Failed." << "\r\n";
        delete resp;
        return;
    }

    delete 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

    // Chilkat functions returning "const char *" return a pointer to temporary internal memory owned and managed by Chilkat.

    const char *Id = 0;
    const char *Total = 0;
    const char *status = 0;
    int j;
    int count_j;

    const char *predictionDefinition = jResp.stringOf("predictionDefinition");
    int MaxMiddleValues = jResp.IntOf("settings.maxMiddleValues");
    int MaxPrescriptions = jResp.IntOf("settings.maxPrescriptions");
    int PrescriptionImpactPercentage = jResp.IntOf("settings.prescriptionImpactPercentage");
    int i = 0;
    int count_i = jResp.SizeOfArray("predictions");
    while (i < count_i) {
        jResp.put_I(i);
        Id = jResp.stringOf("predictions[i].model.id");
        Total = jResp.stringOf("predictions[i].prediction.total");
        status = jResp.stringOf("predictions[i].status");
        j = 0;
        count_j = jResp.SizeOfArray("predictions[i].prediction.middleValues");
        while (j < count_j) {
            jResp.put_J(j);
            j = j + 1;
        }

        j = 0;
        count_j = jResp.SizeOfArray("predictions[i].prescriptions");
        while (j < count_j) {
            jResp.put_J(j);
            j = j + 1;
        }

        i = i + 1;
    }
    }

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}"
    }
  ]
}