Back to Collection Items
func chilkatTest() {
// This example assumes the Chilkat API to have been previously unlocked.
// See Global Unlock Sample for sample code.
let http = CkoHttp()!
var success: Bool
// 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"
// ]
// ]
// }
let json = CkoJsonObject()!
json.update("predictionDefinition", value: "<PREDICTION_DEFINITION_ID>")
json.update("type", value: "RawData")
json.update("columnNames[0]", value: "Quantity")
json.update("columnNames[1]", value: "Category")
json.update("columnNames[2]", value: "Sub_Category")
json.update("columnNames[3]", value: "Sales")
json.update("columnNames[4]", value: "Profit_per_Order")
json.update("rows[0][0]", value: "2")
json.update("rows[0][1]", value: "Furniture")
json.update("rows[0][2]", value: "Chairs")
json.update("rows[0][3]", value: "300")
json.update("rows[0][4]", value: "10")
// Adds the "Authorization: Bearer <access_token>" header.
http.authToken = "<access_token>"
var resp: CkoHttpResponse? = http.postJson3("https://domain.com/services/data/v{{version}}/smartdatadiscovery/predict", contentType: "application/json", json: json)
if http.lastMethodSuccess == false {
print("\(http.lastErrorText!)")
return
}
let sbResponseBody = CkoStringBuilder()!
resp!.getBodySb(sbResponseBody)
let jResp = CkoJsonObject()!
jResp.loadSb(sbResponseBody)
jResp.emitCompact = false
print("Response Body:")
print("\(jResp.emit()!)")
var respStatusCode: Int = resp!.statusCode.intValue
print("Response Status Code = \(respStatusCode)")
if respStatusCode >= 400 {
print("Response Header:")
print("\(resp!.header!)")
print("Failed.")
resp = nil
return
}
resp = nil
// 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
var Id: String?
var Total: String?
var status: String?
var j: Int
var count_j: Int
var predictionDefinition: String? = jResp.string(of: "predictionDefinition")
var MaxMiddleValues: Int = jResp.int(of: "settings.maxMiddleValues").intValue
var MaxPrescriptions: Int = jResp.int(of: "settings.maxPrescriptions").intValue
var PrescriptionImpactPercentage: Int = jResp.int(of: "settings.prescriptionImpactPercentage").intValue
var i: Int = 0
var count_i: Int = jResp.size(ofArray: "predictions").intValue
while i < count_i {
jResp.i = i
Id = jResp.string(of: "predictions[i].model.id")
Total = jResp.string(of: "predictions[i].prediction.total")
status = jResp.string(of: "predictions[i].status")
j = 0
count_j = jResp.size(ofArray: "predictions[i].prediction.middleValues").intValue
while j < count_j {
jResp.j = j
j = j + 1
}
j = 0
count_j = jResp.size(ofArray: "predictions[i].prescriptions").intValue
while j < count_j {
jResp.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}"
}
]
}
