Chilkat Online Tools

Ruby / Salesforce Platform APIs / Predict

Back to Collection Items

require 'chilkat'

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

http = Chilkat::CkHttp.new()

# 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 = Chilkat::CkJsonObject.new()
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>")

# resp is a CkHttpResponse
resp = http.PostJson3("https://domain.com/services/data/v{{version}}/smartdatadiscovery/predict","application/json",json)
if (http.get_LastMethodSuccess() == false)
    print http.lastErrorText() + "\n";
    exit
end

sbResponseBody = Chilkat::CkStringBuilder.new()
resp.GetBodySb(sbResponseBody)

jResp = Chilkat::CkJsonObject.new()
jResp.LoadSb(sbResponseBody)
jResp.put_EmitCompact(false)

print "Response Body:" + "\n";
print jResp.emit() + "\n";

respStatusCode = resp.get_StatusCode()
print "Response Status Code = " + respStatusCode.to_s() + "\n";
if (respStatusCode >= 400)
    print "Response Header:" + "\n";
    print resp.header() + "\n";
    print "Failed." + "\n";

    exit
end

# 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 = jResp.stringOf("predictionDefinition")
MaxMiddleValues = jResp.IntOf("settings.maxMiddleValues")
MaxPrescriptions = jResp.IntOf("settings.maxPrescriptions")
PrescriptionImpactPercentage = jResp.IntOf("settings.prescriptionImpactPercentage")
i = 0
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
    end
    j = 0
    count_j = jResp.SizeOfArray("predictions[i].prescriptions")
    while j < count_j
        jResp.put_J(j)
        j = j + 1
    end
    i = i + 1
end

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}"
    }
  ]
}