AzureSearchOCR.AzureSearch.UploadDocuments C# (CSharp) Метод

        public static void UploadDocuments(SearchIndexClient indexClient, string fileId, string fileName, string ocrText)
        {
            List<IndexAction> indexOperations = new List<IndexAction>();
            var doc = new Document();
            doc.Add("fileId", fileId);
            doc.Add("fileName", fileName);
            doc.Add("ocrText", ocrText);
            indexOperations.Add(IndexAction.Upload(doc));

            try
            {
                indexClient.Documents.Index(new IndexBatch(indexOperations));
            }
            catch (IndexBatchException e)
            {
                // Sometimes when your Search service is under load, indexing will fail for some of the documents in
                // the batch. Depending on your application, you can take compensating actions like delaying and
                // retrying. For this simple demo, we just log the failed document keys and continue.
                Console.WriteLine(
                "Failed to index some of the documents: {0}",
                       String.Join(", ", e.IndexingResults.Where(r => !r.Succeeded).Select(r => r.Key)));
            }

        }

        static void Main(string[] args)
        {
            var searchPath = "pdf";
            var outPath    = "image";

            // Note, this will create a new Azure Search Index for the OCR text
            Console.WriteLine("Creating Azure Search index...");
            AzureSearch.CreateIndex(serviceClient, indexName);
            // Creating an image directory
            if (Directory.Exists(outPath) == false)
            {
                Directory.CreateDirectory(outPath);
            }

            foreach (var filename in Directory.GetFiles(searchPath, "*.pdf", SearchOption.TopDirectoryOnly))
            {
                Console.WriteLine("Extracting images from {0}", System.IO.Path.GetFileName(filename));
                var images = PdfImageExtractor.ExtractImages(filename);
                Console.WriteLine("{0} images found.", images.Count);
                Console.WriteLine();
                var directory = System.IO.Path.GetDirectoryName(filename);
                foreach (var name in images.Keys)
                {
                    if (name.LastIndexOf(".") + 1 != name.Length)
                    {
                        images[name].Save(System.IO.Path.Combine(outPath, name));
                    }
                }
                string ocrText = string.Empty;
                Console.WriteLine("Extracting text from image...");
                foreach (var imagefilename in Directory.GetFiles(outPath))
                {
                    OcrResults ocr = vision.RecognizeText(imagefilename);
                    ocrText += vision.GetRetrieveText(ocr);
                    File.Delete(imagefilename);
                }
                // Take the resulting orcText and upload to a new Azure Search Index
                // It is highly recommended that you upload documents in batches rather
                // individually like is done here
                if (ocrText.Length > 0)
                {
                    Console.WriteLine("Uploading extracted text to Azure Search...");
                    string fileNameOnly = System.IO.Path.GetFileName(filename);
                    string fileId       = System.Convert.ToBase64String(System.Text.Encoding.UTF8.GetBytes(fileNameOnly));
                    AzureSearch.UploadDocuments(indexClient, fileId, fileNameOnly, ocrText);
                }
            }
            // Execute a test search
            Console.WriteLine("Execute Search...");
            AzureSearch.SearchDocuments(indexClient, "Azure Search");
            Console.WriteLine("All done.  Press any key to continue.");
            Console.ReadLine();
        }