ByteScout Cloud API Server is API server that is ready to use and can be installed and deployed in less than 30 minutes on your own Windows server or server in a cloud. It can save data and files on your local server-based file storage or in Amazon AWS S3 storage. Data is processed solely on the API server and is powered by ByteScout engine, no cloud services or Internet connection is required for data processing..
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using System; using System.IO; using System.Net; using Newtonsoft.Json.Linq; using System.Threading; // Please NOTE: In this sample we're assuming Cloud Api Server is hosted at "https://localhost". // If it's not then please replace this with with your hosting url. // Cloud API asynchronous "Merge PDF" job example. // Allows to avoid timeout errors when processing huge or scanned PDF documents. namespace ByteScoutWebApiExample { class Program { // Direct URLs of PDF files to merge static string[] SourceFiles = { "https://bytescout-com.s3.amazonaws.com/files/demo-files/cloud-api/pdf-merge/sample1.pdf", "https://bytescout-com.s3.amazonaws.com/files/demo-files/cloud-api/pdf-merge/sample2.pdf" }; // Destination PDF file name const string DestinationFile = @".\result.pdf"; // (!) Make asynchronous job const bool Async = true; static void Main(string[] args) { // Create standard .NET web client instance WebClient webClient = new WebClient(); // Prepare URL for `Merge PDF` API call string query = Uri.EscapeUriString(string.Format( "https://localhost/pdf/merge?name={0}&url={1}&async={2}", Path.GetFileName(DestinationFile), string.Join(",", SourceFiles), Async)); try { // Execute request string response = webClient.DownloadString(query); // Parse JSON response JObject json = JObject.Parse(response); if (json["error"].ToObject<bool>() == false) { // Asynchronous job ID string jobId = json["jobId"].ToString(); // URL of generated PDF file that will available after the job completion string resultFileUrl = json["url"].ToString(); // Check the job status in a loop. // If you don't want to pause the main thread you can rework the code // to use a separate thread for the status checking and completion. do { string status = CheckJobStatus(jobId); // Possible statuses: "working", "failed", "aborted", "success". // Display timestamp and status (for demo purposes) Console.WriteLine(DateTime.Now.ToLongTimeString() + ": " + status); if (status == "success") { // Download PDF file webClient.DownloadFile(resultFileUrl, DestinationFile); Console.WriteLine("Generated PDF file saved as \"{0}\" file.", DestinationFile); break; } else if (status == "working") { // Pause for a few seconds Thread.Sleep(3000); } else { Console.WriteLine(status); break; } } while (true); } else { Console.WriteLine(json["message"].ToString()); } } catch (WebException e) { Console.WriteLine(e.ToString()); } webClient.Dispose(); Console.WriteLine(); Console.WriteLine("Press any key..."); Console.ReadKey(); } static string CheckJobStatus(string jobId) { using (WebClient webClient = new WebClient()) { string url = "https://localhost/job/check?jobid=" + jobId; string response = webClient.DownloadString(url); JObject json = JObject.Parse(response); return Convert.ToString(json["status"]); } } } }
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