Run this command to install the SDK:
npm install cloudmersive-documentai-api-client --save
Or add this snippet to your package.json:
"dependencies": {
"cloudmersive-documentai-api-client": "^1.3.1"
}Run this command to install the SDK:
npm install cloudmersive-documentai-api-client --save
Or add this snippet to your package.json:
"dependencies": {
"cloudmersive-documentai-api-client": "^1.3.1"
}var CloudmersiveDocumentaiApiClient = require('cloudmersive-documentai-api-client');
var defaultClient = CloudmersiveDocumentaiApiClient.ApiClient.instance;
// Configure API key authorization: Apikey
var Apikey = defaultClient.authentications['Apikey'];
Apikey.apiKey = 'YOUR API KEY';
var apiInstance = new CloudmersiveDocumentaiApiClient.RunBatchJobApi();
var opts = {
'asyncJobID': "asyncJobID_example" // String | Job ID for the batch job to get the status of
};
var callback = function(error, data, response) {
if (error) {
console.error(error);
} else {
console.log('API called successfully. Returned data: ' + data);
}
};
apiInstance.getAsyncJobStatus(opts, callback);
Run this command to install the SDK:
pip install cloudmersive-documentai-api-client
from __future__ import print_function
import time
import cloudmersive_documentai_api_client
from cloudmersive_documentai_api_client.rest import ApiException
from pprint import pprint
# Configure API key authorization: Apikey
configuration = cloudmersive_documentai_api_client.Configuration()
configuration.api_key['Apikey'] = 'YOUR_API_KEY'
# create an instance of the API class
api_instance = cloudmersive_documentai_api_client.RunBatchJobApi(cloudmersive_documentai_api_client.ApiClient(configuration))
async_job_id = 'async_job_id_example' # str | Job ID for the batch job to get the status of (optional)
try:
# Get the status and result of an Extract Document Batch Job
api_response = api_instance.get_async_job_status(async_job_id=async_job_id)
pprint(api_response)
except ApiException as e:
print("Exception when calling RunBatchJobApi->get_async_job_status: %s\n" % e)
Run this command to install the SDK:
Install-Package Cloudmersive.APIClient.NET.DocumentAI -Version 3.0.4
Run this command to install the SDK:
dotnet add package Cloudmersive.APIClient.NETCore.DocumentAI --version 1.0.0
using System.Collections.Generic;
using System.Diagnostics;
using System.Net.Http;
using Cloudmersive.APIClient.NET.DocumentAI.Api;
using Cloudmersive.APIClient.NET.DocumentAI.Client;
using Cloudmersive.APIClient.NET.DocumentAI.Model;
namespace Example
{
public class GetAsyncJobStatusExample
{
public static void Main()
{
Configuration config = new Configuration();
config.BasePath = "https://api.cloudmersive.com";
// Configure API key authorization: Apikey
config.AddApiKey("Apikey", "YOUR_API_KEY");
// config.AddApiKeyPrefix("Apikey", "Bearer");
// create instances of HttpClient, HttpClientHandler to be reused later with different Api classes
HttpClient httpClient = new HttpClient();
HttpClientHandler httpClientHandler = new HttpClientHandler();
var apiInstance = new RunBatchJobApi(httpClient, config, httpClientHandler);
var asyncJobID = "asyncJobID_example"; // string | Job ID for the batch job to get the status of (optional)
try
{
// Get the status and result of an Extract Document Batch Job
ExtractDocumentJobStatusResult result = apiInstance.GetAsyncJobStatus(asyncJobID);
Debug.WriteLine(result);
}
catch (ApiException e)
{
Debug.Print("Exception when calling RunBatchJobApi.GetAsyncJobStatus: " + e.Message);
Debug.Print("Status Code: " + e.ErrorCode);
Debug.Print(e.StackTrace);
}
}
}
}
using System;
using System.Diagnostics;
using Cloudmersive.APIClient.NETCore.DocumentAI.Api;
using Cloudmersive.APIClient.NETCore.DocumentAI.Client;
using Cloudmersive.APIClient.NETCore.DocumentAI.Model;
namespace Example
{
public class DocumentAiDocumentBatchJobBatchJobStatusGetExample
{
public void main()
{
// Configure API key authorization: Apikey
Configuration.Default.AddApiKey("Apikey", "YOUR_API_KEY");
var apiInstance = new RunBatchJobApi();
var asyncJobID = asyncJobID_example; // string | (optional)
try
{
// Get the status and result of an Extract Document Batch Job
ExtractDocumentJobStatusResult result = apiInstance.DocumentAiDocumentBatchJobBatchJobStatusGet(asyncJobID);
Debug.WriteLine(result);
}
catch (Exception e)
{
Debug.Print("Exception when calling RunBatchJobApi.DocumentAiDocumentBatchJobBatchJobStatusGet: " + e.Message );
}
}
}
}
To install with Maven, add a reference to the repository in pom.xml:
And add a reference to the dependency in pom.xml:
To install with Gradle, add it in your root build.gradle at the end of repositories:
And add the dependency in build.gradle:
Run this command to install the SDK:
composer require cloudmersive/cloudmersive_documentai_api_client
<?php
require_once(__DIR__ . '/vendor/autoload.php');
// Configure API key authorization: Apikey
$config = Swagger\Client\Configuration::getDefaultConfiguration()->setApiKey('Apikey', 'YOUR_API_KEY');
$apiInstance = new Swagger\Client\Api\RunBatchJobApi(
new GuzzleHttp\Client(),
$config
);
$async_job_id = "async_job_id_example"; // string | Job ID for the batch job to get the status of
try {
$result = $apiInstance->getAsyncJobStatus($async_job_id);
print_r($result);
} catch (Exception $e) {
echo 'Exception when calling RunBatchJobApi->getAsyncJobStatus: ', $e->getMessage(), PHP_EOL;
}
?>
Add the Objective-C client to your Podfile:
Add the Ruby client to your Gemfile:
gem 'cloudmersive-documentai-api-client', '~> 2.2'
# load the gem
require 'cloudmersive-documentai-api-client'
# setup authorization
CloudmersiveDocumentaiApiClient.configure do |config|
# Configure API key authorization: Apikey
config.api_key['Apikey'] = 'YOUR API KEY'
# Uncomment the following line to set a prefix for the API key, e.g. 'Bearer' (defaults to nil)
#config.api_key_prefix['Apikey'] = 'Bearer'
end
api_instance = CloudmersiveDocumentaiApiClient::RunBatchJobApi.new
opts = {
async_job_id: 'async_job_id_example' # String | Job ID for the batch job to get the status of
}
begin
#Get the status and result of an Extract Document Batch Job
result = api_instance.get_async_job_status(opts)
p result
rescue CloudmersiveDocumentaiApiClient::ApiError => e
puts "Exception when calling RunBatchJobApi->get_async_job_status: #{e}"
end
SwagRunBatchJobApi api = new SwagRunBatchJobApi();
SwagClient client = api.getClient();
// Configure API key authorization: Apikey
ApiKeyAuth Apikey = (ApiKeyAuth) client.getAuthentication('Apikey');
Apikey.setApiKey('YOUR API KEY');
Map<String, Object> params = new Map<String, Object>{
'asyncJobID' => 'asyncJobID_example'
};
try {
// cross your fingers
SwagExtractDocumentJobStatusResult result = api.getAsyncJobStatus(params);
System.debug(result);
} catch (Swagger.ApiException e) {
// ...handle your exceptions
}
Install libcurl in your C/C++ project:
libcurl/7.75.0
CURL *curl;
CURLcode res;
curl = curl_easy_init();
if(curl) {
curl_easy_setopt(curl, CURLOPT_CUSTOMREQUEST, "GET");
curl_easy_setopt(curl, CURLOPT_URL, "https://api.cloudmersive.com/document-ai/document/batch-job/batch-job/status?AsyncJobID=%3Cstring%3E");
curl_easy_setopt(curl, CURLOPT_FOLLOWLOCATION, 1L);
curl_easy_setopt(curl, CURLOPT_DEFAULT_PROTOCOL, "https");
struct curl_slist *headers = NULL;
headers = curl_slist_append(headers, "Apikey: YOUR-API-KEY-HERE");
curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers);
res = curl_easy_perform(curl);
}
curl_easy_cleanup(curl);
curl --location --request GET 'https://api.cloudmersive.com/document-ai/document/batch-job/batch-job/status?AsyncJobID=%3Cstring%3E' \
--header 'Apikey: YOUR-API-KEY-HERE'
import Foundation
#if canImport(FoundationNetworking)
import FoundationNetworking
#endif
var semaphore = DispatchSemaphore (value: 0)
var request = URLRequest(url: URL(string: "https://api.cloudmersive.com/document-ai/document/batch-job/batch-job/status?AsyncJobID=%3Cstring%3E")!,timeoutInterval: Double.infinity)
request.addValue("YOUR-API-KEY-HERE", forHTTPHeaderField: "Apikey")
request.httpMethod = "GET"
let task = URLSession.shared.dataTask(with: request) { data, response, error in
guard let data = data else {
print(String(describing: error))
semaphore.signal()
return
}
print(String(data: data, encoding: .utf8)!)
semaphore.signal()
}
task.resume()
semaphore.wait()
This code snippet uses the built-in JavaScript XHR request capability
Run this command to install jQuery:
bower install jquery
var xhr = new XMLHttpRequest();
xhr.withCredentials = true;
xhr.addEventListener("readystatechange", function() {
if(this.readyState === 4) {
console.log(this.responseText);
}
});
xhr.open("GET", "https://api.cloudmersive.com/document-ai/document/batch-job/batch-job/status?AsyncJobID=%3Cstring%3E");
xhr.setRequestHeader("Apikey", "YOUR-API-KEY-HERE");
xhr.send();
var settings = {
"url": "https://api.cloudmersive.com/document-ai/document/batch-job/batch-job/status?AsyncJobID=<string>",
"method": "GET",
"timeout": 0,
"headers": {
"Apikey": "YOUR-API-KEY-HERE"
},
};
$.ajax(settings).done(function (response) {
console.log(response);
});
package main
import (
"fmt"
"net/http"
"io/ioutil"
)
func main() {
url := "https://api.cloudmersive.com/document-ai/document/batch-job/batch-job/status?AsyncJobID=%3Cstring%3E"
method := "GET"
client := &http.Client {
}
req, err := http.NewRequest(method, url, nil)
if err != nil {
fmt.Println(err)
return
}
req.Header.Add("Apikey", "YOUR-API-KEY-HERE")
res, err := client.Do(req)
if err != nil {
fmt.Println(err)
return
}
defer res.Body.Close()
body, err := ioutil.ReadAll(res.Body)
if err != nil {
fmt.Println(err)
return
}
fmt.Println(string(body))
}