Log run inputs

curl --request POST \
  --url https://mycluster.domino.tech/api/2.0/mlflow/runs/log-inputs \
  --header 'Content-Type: application/json' \
  --data '
{
  "run_id": "<string>",
  "datasets": [
    {
      "tags": [
        {
          "key": "<string>",
          "value": "<string>"
        }
      ],
      "dataset": {
        "name": "<string>",
        "digest": "<string>",
        "source_type": "<string>",
        "source": "<string>",
        "schema": "<string>",
        "profile": "<string>"
      }
    }
  ]
}
'

import requests

url = "https://mycluster.domino.tech/api/2.0/mlflow/runs/log-inputs"

payload = {
    "run_id": "<string>",
    "datasets": [
        {
            "tags": [
                {
                    "key": "<string>",
                    "value": "<string>"
                }
            ],
            "dataset": {
                "name": "<string>",
                "digest": "<string>",
                "source_type": "<string>",
                "source": "<string>",
                "schema": "<string>",
                "profile": "<string>"
            }
        }
    ]
}
headers = {"Content-Type": "application/json"}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({
    run_id: '<string>',
    datasets: [
      {
        tags: [{key: '<string>', value: '<string>'}],
        dataset: {
          name: '<string>',
          digest: '<string>',
          source_type: '<string>',
          source: '<string>',
          schema: '<string>',
          profile: '<string>'
        }
      }
    ]
  })
};

fetch('https://mycluster.domino.tech/api/2.0/mlflow/runs/log-inputs', 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://mycluster.domino.tech/api/2.0/mlflow/runs/log-inputs",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'run_id' => '<string>',
    'datasets' => [
        [
                'tags' => [
                                [
                                                                'key' => '<string>',
                                                                'value' => '<string>'
                                ]
                ],
                'dataset' => [
                                'name' => '<string>',
                                'digest' => '<string>',
                                'source_type' => '<string>',
                                'source' => '<string>',
                                'schema' => '<string>',
                                'profile' => '<string>'
                ]
        ]
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "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://mycluster.domino.tech/api/2.0/mlflow/runs/log-inputs"

	payload := strings.NewReader("{\n  \"run_id\": \"<string>\",\n  \"datasets\": [\n    {\n      \"tags\": [\n        {\n          \"key\": \"<string>\",\n          \"value\": \"<string>\"\n        }\n      ],\n      \"dataset\": {\n        \"name\": \"<string>\",\n        \"digest\": \"<string>\",\n        \"source_type\": \"<string>\",\n        \"source\": \"<string>\",\n        \"schema\": \"<string>\",\n        \"profile\": \"<string>\"\n      }\n    }\n  ]\n}")

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

	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.post("https://mycluster.domino.tech/api/2.0/mlflow/runs/log-inputs")
  .header("Content-Type", "application/json")
  .body("{\n  \"run_id\": \"<string>\",\n  \"datasets\": [\n    {\n      \"tags\": [\n        {\n          \"key\": \"<string>\",\n          \"value\": \"<string>\"\n        }\n      ],\n      \"dataset\": {\n        \"name\": \"<string>\",\n        \"digest\": \"<string>\",\n        \"source_type\": \"<string>\",\n        \"source\": \"<string>\",\n        \"schema\": \"<string>\",\n        \"profile\": \"<string>\"\n      }\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://mycluster.domino.tech/api/2.0/mlflow/runs/log-inputs")

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

request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n  \"run_id\": \"<string>\",\n  \"datasets\": [\n    {\n      \"tags\": [\n        {\n          \"key\": \"<string>\",\n          \"value\": \"<string>\"\n        }\n      ],\n      \"dataset\": {\n        \"name\": \"<string>\",\n        \"digest\": \"<string>\",\n        \"source_type\": \"<string>\",\n        \"source\": \"<string>\",\n        \"schema\": \"<string>\",\n        \"profile\": \"<string>\"\n      }\n    }\n  ]\n}"

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

{}

{
  "error_code": "INTERNAL_ERROR",
  "message": "<string>"
}