curl --request POST \
  --url https://connie.ai/api/tables/import-csv \
  --header 'Content-Type: application/json' \
  --cookie session= \
  --data '
{
  "tableId": "<string>",
  "csvData": {
    "headers": [
      "<string>"
    ],
    "rows": [
      [
        "<string>"
      ]
    ]
  },
  "columnMappings": [
    {
      "csvColumn": "<string>",
      "targetColumnId": "<string>",
      "targetColumnName": "<string>",
      "detectedType": "<string>",
      "relationMapping": {
        "propertyId": "<string>",
        "targetTableId": "<string>",
        "targetTableType": "<string>",
        "backPropertyId": "<string>"
      }
    }
  ]
}
'

import requests

url = "https://connie.ai/api/tables/import-csv"

payload = {
    "tableId": "<string>",
    "csvData": {
        "headers": ["<string>"],
        "rows": [["<string>"]]
    },
    "columnMappings": [
        {
            "csvColumn": "<string>",
            "targetColumnId": "<string>",
            "targetColumnName": "<string>",
            "detectedType": "<string>",
            "relationMapping": {
                "propertyId": "<string>",
                "targetTableId": "<string>",
                "targetTableType": "<string>",
                "backPropertyId": "<string>"
            }
        }
    ]
}
headers = {
    "cookie": "session=",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {cookie: 'session=', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    tableId: '<string>',
    csvData: {headers: ['<string>'], rows: [['<string>']]},
    columnMappings: [
      {
        csvColumn: '<string>',
        targetColumnId: '<string>',
        targetColumnName: '<string>',
        detectedType: '<string>',
        relationMapping: {
          propertyId: '<string>',
          targetTableId: '<string>',
          targetTableType: '<string>',
          backPropertyId: '<string>'
        }
      }
    ]
  })
};

fetch('https://connie.ai/api/tables/import-csv', 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://connie.ai/api/tables/import-csv",
  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([
    'tableId' => '<string>',
    'csvData' => [
        'headers' => [
                '<string>'
        ],
        'rows' => [
                [
                                '<string>'
                ]
        ]
    ],
    'columnMappings' => [
        [
                'csvColumn' => '<string>',
                'targetColumnId' => '<string>',
                'targetColumnName' => '<string>',
                'detectedType' => '<string>',
                'relationMapping' => [
                                'propertyId' => '<string>',
                                'targetTableId' => '<string>',
                                'targetTableType' => '<string>',
                                'backPropertyId' => '<string>'
                ]
        ]
    ]
  ]),
  CURLOPT_COOKIE => "session=",
  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://connie.ai/api/tables/import-csv"

	payload := strings.NewReader("{\n  \"tableId\": \"<string>\",\n  \"csvData\": {\n    \"headers\": [\n      \"<string>\"\n    ],\n    \"rows\": [\n      [\n        \"<string>\"\n      ]\n    ]\n  },\n  \"columnMappings\": [\n    {\n      \"csvColumn\": \"<string>\",\n      \"targetColumnId\": \"<string>\",\n      \"targetColumnName\": \"<string>\",\n      \"detectedType\": \"<string>\",\n      \"relationMapping\": {\n        \"propertyId\": \"<string>\",\n        \"targetTableId\": \"<string>\",\n        \"targetTableType\": \"<string>\",\n        \"backPropertyId\": \"<string>\"\n      }\n    }\n  ]\n}")

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

	req.Header.Add("cookie", "session=")
	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://connie.ai/api/tables/import-csv")
  .header("cookie", "session=")
  .header("Content-Type", "application/json")
  .body("{\n  \"tableId\": \"<string>\",\n  \"csvData\": {\n    \"headers\": [\n      \"<string>\"\n    ],\n    \"rows\": [\n      [\n        \"<string>\"\n      ]\n    ]\n  },\n  \"columnMappings\": [\n    {\n      \"csvColumn\": \"<string>\",\n      \"targetColumnId\": \"<string>\",\n      \"targetColumnName\": \"<string>\",\n      \"detectedType\": \"<string>\",\n      \"relationMapping\": {\n        \"propertyId\": \"<string>\",\n        \"targetTableId\": \"<string>\",\n        \"targetTableType\": \"<string>\",\n        \"backPropertyId\": \"<string>\"\n      }\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://connie.ai/api/tables/import-csv")

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

request = Net::HTTP::Post.new(url)
request["cookie"] = 'session='
request["Content-Type"] = 'application/json'
request.body = "{\n  \"tableId\": \"<string>\",\n  \"csvData\": {\n    \"headers\": [\n      \"<string>\"\n    ],\n    \"rows\": [\n      [\n        \"<string>\"\n      ]\n    ]\n  },\n  \"columnMappings\": [\n    {\n      \"csvColumn\": \"<string>\",\n      \"targetColumnId\": \"<string>\",\n      \"targetColumnName\": \"<string>\",\n      \"detectedType\": \"<string>\",\n      \"relationMapping\": {\n        \"propertyId\": \"<string>\",\n        \"targetTableId\": \"<string>\",\n        \"targetTableType\": \"<string>\",\n        \"backPropertyId\": \"<string>\"\n      }\n    }\n  ]\n}"

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

{
  "stage": "preparing",
  "progress": 123,
  "total": 123,
  "rowsImported": 123,
  "tableId": "<string>",
  "rowIds": [
    "<string>"
  ],
  "error": "<string>"
}