curl --request PUT \
  --url https://api.erdo.ai/v1/datasets/{datasetSlug}/refresh \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "agent_prompt": "<string>",
  "context_dataset_slugs": [
    "<string>"
  ],
  "key_column": "<string>",
  "live_write_mode": "<string>",
  "parameters": {},
  "payload_schema": {},
  "refresh_mode": "<string>",
  "refresh_on_view_debounce_seconds": -1,
  "refresh_on_view_enabled": true,
  "refresh_on_view_stale_after_seconds": -1,
  "sample_payload": {},
  "schedule": "<string>",
  "script": "<string>",
  "script_entrypoint": "<string>",
  "strategy": "<string>",
  "timezone": "<string>",
  "transform_js": "<string>"
}
'

import requests

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

payload = {
    "agent_prompt": "<string>",
    "context_dataset_slugs": ["<string>"],
    "key_column": "<string>",
    "live_write_mode": "<string>",
    "parameters": {},
    "payload_schema": {},
    "refresh_mode": "<string>",
    "refresh_on_view_debounce_seconds": -1,
    "refresh_on_view_enabled": True,
    "refresh_on_view_stale_after_seconds": -1,
    "sample_payload": {},
    "schedule": "<string>",
    "script": "<string>",
    "script_entrypoint": "<string>",
    "strategy": "<string>",
    "timezone": "<string>",
    "transform_js": "<string>"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'PUT',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    agent_prompt: '<string>',
    context_dataset_slugs: ['<string>'],
    key_column: '<string>',
    live_write_mode: '<string>',
    parameters: {},
    payload_schema: {},
    refresh_mode: '<string>',
    refresh_on_view_debounce_seconds: -1,
    refresh_on_view_enabled: true,
    refresh_on_view_stale_after_seconds: -1,
    sample_payload: {},
    schedule: '<string>',
    script: '<string>',
    script_entrypoint: '<string>',
    strategy: '<string>',
    timezone: '<string>',
    transform_js: '<string>'
  })
};

fetch('https://api.erdo.ai/v1/datasets/{datasetSlug}/refresh', 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}/refresh",
  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([
    'agent_prompt' => '<string>',
    'context_dataset_slugs' => [
        '<string>'
    ],
    'key_column' => '<string>',
    'live_write_mode' => '<string>',
    'parameters' => [
        
    ],
    'payload_schema' => [
        
    ],
    'refresh_mode' => '<string>',
    'refresh_on_view_debounce_seconds' => -1,
    'refresh_on_view_enabled' => true,
    'refresh_on_view_stale_after_seconds' => -1,
    'sample_payload' => [
        
    ],
    'schedule' => '<string>',
    'script' => '<string>',
    'script_entrypoint' => '<string>',
    'strategy' => '<string>',
    'timezone' => '<string>',
    'transform_js' => '<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}/refresh"

	payload := strings.NewReader("{\n  \"agent_prompt\": \"<string>\",\n  \"context_dataset_slugs\": [\n    \"<string>\"\n  ],\n  \"key_column\": \"<string>\",\n  \"live_write_mode\": \"<string>\",\n  \"parameters\": {},\n  \"payload_schema\": {},\n  \"refresh_mode\": \"<string>\",\n  \"refresh_on_view_debounce_seconds\": -1,\n  \"refresh_on_view_enabled\": true,\n  \"refresh_on_view_stale_after_seconds\": -1,\n  \"sample_payload\": {},\n  \"schedule\": \"<string>\",\n  \"script\": \"<string>\",\n  \"script_entrypoint\": \"<string>\",\n  \"strategy\": \"<string>\",\n  \"timezone\": \"<string>\",\n  \"transform_js\": \"<string>\"\n}")

	req, _ := http.NewRequest("PUT", 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.put("https://api.erdo.ai/v1/datasets/{datasetSlug}/refresh")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"agent_prompt\": \"<string>\",\n  \"context_dataset_slugs\": [\n    \"<string>\"\n  ],\n  \"key_column\": \"<string>\",\n  \"live_write_mode\": \"<string>\",\n  \"parameters\": {},\n  \"payload_schema\": {},\n  \"refresh_mode\": \"<string>\",\n  \"refresh_on_view_debounce_seconds\": -1,\n  \"refresh_on_view_enabled\": true,\n  \"refresh_on_view_stale_after_seconds\": -1,\n  \"sample_payload\": {},\n  \"schedule\": \"<string>\",\n  \"script\": \"<string>\",\n  \"script_entrypoint\": \"<string>\",\n  \"strategy\": \"<string>\",\n  \"timezone\": \"<string>\",\n  \"transform_js\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

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

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

request = Net::HTTP::Put.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"agent_prompt\": \"<string>\",\n  \"context_dataset_slugs\": [\n    \"<string>\"\n  ],\n  \"key_column\": \"<string>\",\n  \"live_write_mode\": \"<string>\",\n  \"parameters\": {},\n  \"payload_schema\": {},\n  \"refresh_mode\": \"<string>\",\n  \"refresh_on_view_debounce_seconds\": -1,\n  \"refresh_on_view_enabled\": true,\n  \"refresh_on_view_stale_after_seconds\": -1,\n  \"sample_payload\": {},\n  \"schedule\": \"<string>\",\n  \"script\": \"<string>\",\n  \"script_entrypoint\": \"<string>\",\n  \"strategy\": \"<string>\",\n  \"timezone\": \"<string>\",\n  \"transform_js\": \"<string>\"\n}"

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

{
  "dataset_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "dataset_slug": "<string>",
  "job_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "previous_strategy": "<string>",
  "refresh_config_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "refresh_mode": "<string>",
  "schedule": "<string>",
  "strategy": "<string>",
  "test_run": {
    "duration_ms": 123,
    "error": "<string>",
    "success": true
  },
  "webhook_secret": "<string>",
  "webhook_url": "<string>"
}

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