curl --request POST \
  --url https://api.erdo.ai/v1/datasets/{datasetSlug}/schema \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "class": "<string>",
  "clear_purpose": true,
  "dataset_slug": "<string>",
  "operations": [
    {
      "column": "<string>",
      "column_type": "<string>",
      "columns": [
        {
          "description": "<string>",
          "name": "<string>",
          "required": true,
          "semantic_role": "<string>",
          "type": "<string>"
        }
      ],
      "new_name": "<string>",
      "type": "<string>"
    }
  ],
  "purpose": "<string>",
  "purpose_description": "<string>"
}
'

import requests

url = "https://api.erdo.ai/v1/datasets/{datasetSlug}/schema"

payload = {
    "class": "<string>",
    "clear_purpose": True,
    "dataset_slug": "<string>",
    "operations": [
        {
            "column": "<string>",
            "column_type": "<string>",
            "columns": [
                {
                    "description": "<string>",
                    "name": "<string>",
                    "required": True,
                    "semantic_role": "<string>",
                    "type": "<string>"
                }
            ],
            "new_name": "<string>",
            "type": "<string>"
        }
    ],
    "purpose": "<string>",
    "purpose_description": "<string>"
}
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({
    class: '<string>',
    clear_purpose: true,
    dataset_slug: '<string>',
    operations: [
      {
        column: '<string>',
        column_type: '<string>',
        columns: [
          {
            description: '<string>',
            name: '<string>',
            required: true,
            semantic_role: '<string>',
            type: '<string>'
          }
        ],
        new_name: '<string>',
        type: '<string>'
      }
    ],
    purpose: '<string>',
    purpose_description: '<string>'
  })
};

fetch('https://api.erdo.ai/v1/datasets/{datasetSlug}/schema', 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.erdo.ai/v1/datasets/{datasetSlug}/schema",
  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([
    'class' => '<string>',
    'clear_purpose' => true,
    'dataset_slug' => '<string>',
    'operations' => [
        [
                'column' => '<string>',
                'column_type' => '<string>',
                'columns' => [
                                [
                                                                'description' => '<string>',
                                                                'name' => '<string>',
                                                                'required' => true,
                                                                'semantic_role' => '<string>',
                                                                'type' => '<string>'
                                ]
                ],
                'new_name' => '<string>',
                'type' => '<string>'
        ]
    ],
    'purpose' => '<string>',
    'purpose_description' => '<string>'
  ]),
  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.erdo.ai/v1/datasets/{datasetSlug}/schema"

	payload := strings.NewReader("{\n  \"class\": \"<string>\",\n  \"clear_purpose\": true,\n  \"dataset_slug\": \"<string>\",\n  \"operations\": [\n    {\n      \"column\": \"<string>\",\n      \"column_type\": \"<string>\",\n      \"columns\": [\n        {\n          \"description\": \"<string>\",\n          \"name\": \"<string>\",\n          \"required\": true,\n          \"semantic_role\": \"<string>\",\n          \"type\": \"<string>\"\n        }\n      ],\n      \"new_name\": \"<string>\",\n      \"type\": \"<string>\"\n    }\n  ],\n  \"purpose\": \"<string>\",\n  \"purpose_description\": \"<string>\"\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.erdo.ai/v1/datasets/{datasetSlug}/schema")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"class\": \"<string>\",\n  \"clear_purpose\": true,\n  \"dataset_slug\": \"<string>\",\n  \"operations\": [\n    {\n      \"column\": \"<string>\",\n      \"column_type\": \"<string>\",\n      \"columns\": [\n        {\n          \"description\": \"<string>\",\n          \"name\": \"<string>\",\n          \"required\": true,\n          \"semantic_role\": \"<string>\",\n          \"type\": \"<string>\"\n        }\n      ],\n      \"new_name\": \"<string>\",\n      \"type\": \"<string>\"\n    }\n  ],\n  \"purpose\": \"<string>\",\n  \"purpose_description\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.erdo.ai/v1/datasets/{datasetSlug}/schema")

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  \"class\": \"<string>\",\n  \"clear_purpose\": true,\n  \"dataset_slug\": \"<string>\",\n  \"operations\": [\n    {\n      \"column\": \"<string>\",\n      \"column_type\": \"<string>\",\n      \"columns\": [\n        {\n          \"description\": \"<string>\",\n          \"name\": \"<string>\",\n          \"required\": true,\n          \"semantic_role\": \"<string>\",\n          \"type\": \"<string>\"\n        }\n      ],\n      \"new_name\": \"<string>\",\n      \"type\": \"<string>\"\n    }\n  ],\n  \"purpose\": \"<string>\",\n  \"purpose_description\": \"<string>\"\n}"

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

{
  "class": "<string>",
  "columns_added": 123,
  "columns_removed": 123,
  "columns_renamed": 123,
  "columns_retyped": 123,
  "contract_reconciled_columns": [
    "<string>"
  ],
  "current_columns": [
    "<string>"
  ],
  "purpose": "<string>",
  "warnings": [
    "<string>"
  ]
}

{
  "code": "not_found",
  "details": {},
  "message": "<string>"
}