curl --request POST \
  --url https://api.datalinks.com/api/v1/upload/multipart/{username}/{namespace}/{datasetName}/finish \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data @- <<EOF
{
  "uploadId": "2~VmxqYXRlRDZWfjJrRWRiZ2FEQXk3dHI4DGhGLygtTmQNXEZPQXFzMVZOZTUgdEdrXCEyNStkQUp3U3Q2RjJqSkV4MFNBOWxJCk0yIHEkfcQ",
  "key": "uploads/data/20240301-143022-uuid.json",
  "parts": [
    {
      "partNumber": 1,
      "etag": "d41d8cd98f00b204e9800998ecf8427e"
    }
  ],
  "name": "sales-data-2024.csv",
  "infer": {
    "steps": [
      {
        "type": "table",
        "deriveFrom": "<string>",
        "additionalInstructions": "This text contains a table comma separated, but instead of line breaks we are using a ';'.",
        "model": "<string>",
        "provider": "<string>",
        "replaceOriginalColumn": false
      }
    ]
  },
  "link": {
    "ExactMatch": {
      "minDistinct": 123,
      "minVariation": 123
    },
    "GeoMatch": {
      "distance": 123,
      "distanceUnit": "<string>"
    }
  },
  "inferBatchSize": 100,
  "dataDescription": "Employee dataset containing demographics and compensation.",
  "schemaDefinition": {
    "id": "unique employee identifier",
    "name": "full employee name",
    "age": "employee age in years",
    "department": "work department",
    "salary": "annual salary in USD"
  }
}
EOF

import requests

url = "https://api.datalinks.com/api/v1/upload/multipart/{username}/{namespace}/{datasetName}/finish"

payload = {
    "uploadId": "2~VmxqYXRlRDZWfjJrRWRiZ2FEQXk3dHI4DGhGLygtTmQNXEZPQXFzMVZOZTUgdEdrXCEyNStkQUp3U3Q2RjJqSkV4MFNBOWxJCk0yIHEkfcQ",
    "key": "uploads/data/20240301-143022-uuid.json",
    "parts": [
        {
            "partNumber": 1,
            "etag": "d41d8cd98f00b204e9800998ecf8427e"
        }
    ],
    "name": "sales-data-2024.csv",
    "infer": { "steps": [
            {
                "type": "table",
                "deriveFrom": "<string>",
                "additionalInstructions": "This text contains a table comma separated, but instead of line breaks we are using a ';'.",
                "model": "<string>",
                "provider": "<string>",
                "replaceOriginalColumn": False
            }
        ] },
    "link": {
        "ExactMatch": {
            "minDistinct": 123,
            "minVariation": 123
        },
        "GeoMatch": {
            "distance": 123,
            "distanceUnit": "<string>"
        }
    },
    "inferBatchSize": 100,
    "dataDescription": "Employee dataset containing demographics and compensation.",
    "schemaDefinition": {
        "id": "unique employee identifier",
        "name": "full employee name",
        "age": "employee age in years",
        "department": "work department",
        "salary": "annual salary in USD"
    }
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    uploadId: '2~VmxqYXRlRDZWfjJrRWRiZ2FEQXk3dHI4DGhGLygtTmQNXEZPQXFzMVZOZTUgdEdrXCEyNStkQUp3U3Q2RjJqSkV4MFNBOWxJCk0yIHEkfcQ',
    key: 'uploads/data/20240301-143022-uuid.json',
    parts: [{partNumber: 1, etag: 'd41d8cd98f00b204e9800998ecf8427e'}],
    name: 'sales-data-2024.csv',
    infer: {
      steps: [
        {
          type: 'table',
          deriveFrom: '<string>',
          additionalInstructions: 'This text contains a table comma separated, but instead of line breaks we are using a \';\'.',
          model: '<string>',
          provider: '<string>',
          replaceOriginalColumn: false
        }
      ]
    },
    link: {
      ExactMatch: {minDistinct: 123, minVariation: 123},
      GeoMatch: {distance: 123, distanceUnit: '<string>'}
    },
    inferBatchSize: 100,
    dataDescription: 'Employee dataset containing demographics and compensation.',
    schemaDefinition: {
      id: 'unique employee identifier',
      name: 'full employee name',
      age: 'employee age in years',
      department: 'work department',
      salary: 'annual salary in USD'
    }
  })
};

fetch('https://api.datalinks.com/api/v1/upload/multipart/{username}/{namespace}/{datasetName}/finish', 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.datalinks.com/api/v1/upload/multipart/{username}/{namespace}/{datasetName}/finish",
  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([
    'uploadId' => '2~VmxqYXRlRDZWfjJrRWRiZ2FEQXk3dHI4DGhGLygtTmQNXEZPQXFzMVZOZTUgdEdrXCEyNStkQUp3U3Q2RjJqSkV4MFNBOWxJCk0yIHEkfcQ',
    'key' => 'uploads/data/20240301-143022-uuid.json',
    'parts' => [
        [
                'partNumber' => 1,
                'etag' => 'd41d8cd98f00b204e9800998ecf8427e'
        ]
    ],
    'name' => 'sales-data-2024.csv',
    'infer' => [
        'steps' => [
                [
                                'type' => 'table',
                                'deriveFrom' => '<string>',
                                'additionalInstructions' => 'This text contains a table comma separated, but instead of line breaks we are using a \';\'.',
                                'model' => '<string>',
                                'provider' => '<string>',
                                'replaceOriginalColumn' => false
                ]
        ]
    ],
    'link' => [
        'ExactMatch' => [
                'minDistinct' => 123,
                'minVariation' => 123
        ],
        'GeoMatch' => [
                'distance' => 123,
                'distanceUnit' => '<string>'
        ]
    ],
    'inferBatchSize' => 100,
    'dataDescription' => 'Employee dataset containing demographics and compensation.',
    'schemaDefinition' => [
        'id' => 'unique employee identifier',
        'name' => 'full employee name',
        'age' => 'employee age in years',
        'department' => 'work department',
        'salary' => 'annual salary in USD'
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "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.datalinks.com/api/v1/upload/multipart/{username}/{namespace}/{datasetName}/finish"

	payload := strings.NewReader("{\n  \"uploadId\": \"2~VmxqYXRlRDZWfjJrRWRiZ2FEQXk3dHI4DGhGLygtTmQNXEZPQXFzMVZOZTUgdEdrXCEyNStkQUp3U3Q2RjJqSkV4MFNBOWxJCk0yIHEkfcQ\",\n  \"key\": \"uploads/data/20240301-143022-uuid.json\",\n  \"parts\": [\n    {\n      \"partNumber\": 1,\n      \"etag\": \"d41d8cd98f00b204e9800998ecf8427e\"\n    }\n  ],\n  \"name\": \"sales-data-2024.csv\",\n  \"infer\": {\n    \"steps\": [\n      {\n        \"type\": \"table\",\n        \"deriveFrom\": \"<string>\",\n        \"additionalInstructions\": \"This text contains a table comma separated, but instead of line breaks we are using a ';'.\",\n        \"model\": \"<string>\",\n        \"provider\": \"<string>\",\n        \"replaceOriginalColumn\": false\n      }\n    ]\n  },\n  \"link\": {\n    \"ExactMatch\": {\n      \"minDistinct\": 123,\n      \"minVariation\": 123\n    },\n    \"GeoMatch\": {\n      \"distance\": 123,\n      \"distanceUnit\": \"<string>\"\n    }\n  },\n  \"inferBatchSize\": 100,\n  \"dataDescription\": \"Employee dataset containing demographics and compensation.\",\n  \"schemaDefinition\": {\n    \"id\": \"unique employee identifier\",\n    \"name\": \"full employee name\",\n    \"age\": \"employee age in years\",\n    \"department\": \"work department\",\n    \"salary\": \"annual salary in USD\"\n  }\n}")

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

	req.Header.Add("Authorization", "Bearer <token>")
	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://api.datalinks.com/api/v1/upload/multipart/{username}/{namespace}/{datasetName}/finish")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"uploadId\": \"2~VmxqYXRlRDZWfjJrRWRiZ2FEQXk3dHI4DGhGLygtTmQNXEZPQXFzMVZOZTUgdEdrXCEyNStkQUp3U3Q2RjJqSkV4MFNBOWxJCk0yIHEkfcQ\",\n  \"key\": \"uploads/data/20240301-143022-uuid.json\",\n  \"parts\": [\n    {\n      \"partNumber\": 1,\n      \"etag\": \"d41d8cd98f00b204e9800998ecf8427e\"\n    }\n  ],\n  \"name\": \"sales-data-2024.csv\",\n  \"infer\": {\n    \"steps\": [\n      {\n        \"type\": \"table\",\n        \"deriveFrom\": \"<string>\",\n        \"additionalInstructions\": \"This text contains a table comma separated, but instead of line breaks we are using a ';'.\",\n        \"model\": \"<string>\",\n        \"provider\": \"<string>\",\n        \"replaceOriginalColumn\": false\n      }\n    ]\n  },\n  \"link\": {\n    \"ExactMatch\": {\n      \"minDistinct\": 123,\n      \"minVariation\": 123\n    },\n    \"GeoMatch\": {\n      \"distance\": 123,\n      \"distanceUnit\": \"<string>\"\n    }\n  },\n  \"inferBatchSize\": 100,\n  \"dataDescription\": \"Employee dataset containing demographics and compensation.\",\n  \"schemaDefinition\": {\n    \"id\": \"unique employee identifier\",\n    \"name\": \"full employee name\",\n    \"age\": \"employee age in years\",\n    \"department\": \"work department\",\n    \"salary\": \"annual salary in USD\"\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.datalinks.com/api/v1/upload/multipart/{username}/{namespace}/{datasetName}/finish")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"uploadId\": \"2~VmxqYXRlRDZWfjJrRWRiZ2FEQXk3dHI4DGhGLygtTmQNXEZPQXFzMVZOZTUgdEdrXCEyNStkQUp3U3Q2RjJqSkV4MFNBOWxJCk0yIHEkfcQ\",\n  \"key\": \"uploads/data/20240301-143022-uuid.json\",\n  \"parts\": [\n    {\n      \"partNumber\": 1,\n      \"etag\": \"d41d8cd98f00b204e9800998ecf8427e\"\n    }\n  ],\n  \"name\": \"sales-data-2024.csv\",\n  \"infer\": {\n    \"steps\": [\n      {\n        \"type\": \"table\",\n        \"deriveFrom\": \"<string>\",\n        \"additionalInstructions\": \"This text contains a table comma separated, but instead of line breaks we are using a ';'.\",\n        \"model\": \"<string>\",\n        \"provider\": \"<string>\",\n        \"replaceOriginalColumn\": false\n      }\n    ]\n  },\n  \"link\": {\n    \"ExactMatch\": {\n      \"minDistinct\": 123,\n      \"minVariation\": 123\n    },\n    \"GeoMatch\": {\n      \"distance\": 123,\n      \"distanceUnit\": \"<string>\"\n    }\n  },\n  \"inferBatchSize\": 100,\n  \"dataDescription\": \"Employee dataset containing demographics and compensation.\",\n  \"schemaDefinition\": {\n    \"id\": \"unique employee identifier\",\n    \"name\": \"full employee name\",\n    \"age\": \"employee age in years\",\n    \"department\": \"work department\",\n    \"salary\": \"annual salary in USD\"\n  }\n}"

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

{
  "id": "550e8400-e29b-41d4-a716-446655440000"
}

{
  "error_code": "UNAUTHORIZED",
  "message": "Missing authentication token",
  "error_message": "",
  "sub_errors": [
    {
      "code": "<string>",
      "message": "<string>"
    }
  ]
}

{
  "error_code": "UNAUTHORIZED",
  "message": "Missing authentication token",
  "error_message": "",
  "sub_errors": [
    {
      "code": "<string>",
      "message": "<string>"
    }
  ]
}

{
  "error_code": "UNAUTHORIZED",
  "message": "Missing authentication token",
  "error_message": "",
  "sub_errors": [
    {
      "code": "<string>",
      "message": "<string>"
    }
  ]
}