curl --request PUT \
  --url https://api.example.com/api/automl/train/jobs/{job_id}/status \
  --header 'Authorization-PSK: <api-key>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "mlflow_run_id": "<string>",
  "registered_model_name": "<string>",
  "error_message": "<string>"
}
'

import requests

url = "https://api.example.com/api/automl/train/jobs/{job_id}/status"

payload = {
    "mlflow_run_id": "<string>",
    "registered_model_name": "<string>",
    "error_message": "<string>"
}
headers = {
    "Authorization-PSK": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.put(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'PUT',
  headers: {'Authorization-PSK': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    mlflow_run_id: '<string>',
    registered_model_name: '<string>',
    error_message: '<string>'
  })
};

fetch('https://api.example.com/api/automl/train/jobs/{job_id}/status', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.example.com/api/automl/train/jobs/{job_id}/status",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "PUT",
  CURLOPT_POSTFIELDS => json_encode([
    'mlflow_run_id' => '<string>',
    'registered_model_name' => '<string>',
    'error_message' => '<string>'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization-PSK: <api-key>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.example.com/api/automl/train/jobs/{job_id}/status"

	payload := strings.NewReader("{\n  \"mlflow_run_id\": \"<string>\",\n  \"registered_model_name\": \"<string>\",\n  \"error_message\": \"<string>\"\n}")

	req, _ := http.NewRequest("PUT", url, payload)

	req.Header.Add("Authorization-PSK", "<api-key>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.put("https://api.example.com/api/automl/train/jobs/{job_id}/status")
  .header("Authorization-PSK", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"mlflow_run_id\": \"<string>\",\n  \"registered_model_name\": \"<string>\",\n  \"error_message\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.example.com/api/automl/train/jobs/{job_id}/status")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Put.new(url)
request["Authorization-PSK"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"mlflow_run_id\": \"<string>\",\n  \"registered_model_name\": \"<string>\",\n  \"error_message\": \"<string>\"\n}"

response = http.request(request)
puts response.read_body

{
  "job_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "name": "<string>",
  "domain": "<string>",
  "owner": "<string>",
  "source_table": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z",
  "rendered_dag": "<string>",
  "mlflow_run_id": "<string>",
  "mlflow_experiment_name": "<string>",
  "registered_model_name": "<string>",
  "airflow_dag_id": "<string>",
  "airflow_dag_url": "<string>",
  "error_message": "<string>",
  "feature_engineering_job_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a"
}

{
  "error": "<string>",
  "code": 500
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>",
      "input": "<unknown>",
      "ctx": {}
    }
  ]
}