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sdk/formrecognizer/Azure.AI.FormRecognizer/tests/samples/trainingFiles/subfolder/Form_6.jpg diff --git a/sdk/formrecognizer/Azure.AI.FormRecognizer/README.md b/sdk/formrecognizer/Azure.AI.FormRecognizer/README.md index 79b7d8393182d..ee46fa58ffd6c 100644 --- a/sdk/formrecognizer/Azure.AI.FormRecognizer/README.md +++ b/sdk/formrecognizer/Azure.AI.FormRecognizer/README.md @@ -185,121 +185,11 @@ The following section provides several code snippets illustrating common pattern ### Recognize Content Recognize text, tables, and selection marks like radio buttons and check boxes data, along with their bounding box coordinates, from documents. -```C# Snippet:FormRecognizerSampleRecognizeContentFromUri -Uri formUri = ; - -Response response = await client.StartRecognizeContentFromUriAsync(formUri).WaitForCompletionAsync(); -FormPageCollection formPages = response.Value; - -foreach (FormPage page in formPages) -{ - Console.WriteLine($"Form Page {page.PageNumber} has {page.Lines.Count} lines."); - - for (int i = 0; i < page.Lines.Count; i++) - { - FormLine line = page.Lines[i]; - Console.WriteLine($" Line {i} has {line.Words.Count} {(line.Words.Count == 1 ? "word" : "words")}, and text: '{line.Text}'."); - - if (line.Appearance != null) - { - // Check the style and style confidence to see if text is handwritten. - // Note that value '0.8' is used as an example. - if (line.Appearance.Style.Name == TextStyleName.Handwriting && line.Appearance.Style.Confidence > 0.8) - { - Console.WriteLine("The text is handwritten"); - } - } - - Console.WriteLine(" Its bounding box is:"); - Console.WriteLine($" Upper left => X: {line.BoundingBox[0].X}, Y= {line.BoundingBox[0].Y}"); - Console.WriteLine($" Upper right => X: {line.BoundingBox[1].X}, Y= {line.BoundingBox[1].Y}"); - Console.WriteLine($" Lower right => X: {line.BoundingBox[2].X}, Y= {line.BoundingBox[2].Y}"); - Console.WriteLine($" Lower left => X: {line.BoundingBox[3].X}, Y= {line.BoundingBox[3].Y}"); - } - - for (int i = 0; i < page.Tables.Count; i++) - { - FormTable table = page.Tables[i]; - Console.WriteLine($" Table {i} has {table.RowCount} rows and {table.ColumnCount} columns."); - foreach (FormTableCell cell in table.Cells) - { - Console.WriteLine($" Cell ({cell.RowIndex}, {cell.ColumnIndex}) contains text: '{cell.Text}'."); - } - } - - for (int i = 0; i < page.SelectionMarks.Count; i++) - { - FormSelectionMark selectionMark = page.SelectionMarks[i]; - Console.WriteLine($" Selection Mark {i} is {selectionMark.State}."); - Console.WriteLine(" Its bounding box is:"); - Console.WriteLine($" Upper left => X: {selectionMark.BoundingBox[0].X}, Y= {selectionMark.BoundingBox[0].Y}"); - Console.WriteLine($" Upper right => X: {selectionMark.BoundingBox[1].X}, Y= {selectionMark.BoundingBox[1].Y}"); - Console.WriteLine($" Lower right => X: {selectionMark.BoundingBox[2].X}, Y= {selectionMark.BoundingBox[2].Y}"); - Console.WriteLine($" Lower left => X: {selectionMark.BoundingBox[3].X}, Y= {selectionMark.BoundingBox[3].Y}"); - } -} -``` For more information and samples see [here][recognize_content]. ### Recognize Custom Forms Recognize and extract form fields and other content from your custom forms, using models you train with your own form types. -```C# Snippet:FormRecognizerSampleRecognizeCustomFormsFromUri -string modelId = ""; -Uri formUri = ; -var options = new RecognizeCustomFormsOptions() { IncludeFieldElements = true }; - -RecognizeCustomFormsOperation operation = await client.StartRecognizeCustomFormsFromUriAsync(modelId, formUri, options); -Response operationResponse = await operation.WaitForCompletionAsync(); -RecognizedFormCollection forms = operationResponse.Value; - -foreach (RecognizedForm form in forms) -{ - Console.WriteLine($"Form of type: {form.FormType}"); - if (form.FormTypeConfidence.HasValue) - Console.WriteLine($"Form type confidence: {form.FormTypeConfidence.Value}"); - Console.WriteLine($"Form was analyzed with model with ID: {form.ModelId}"); - foreach (FormField field in form.Fields.Values) - { - Console.WriteLine($"Field '{field.Name}': "); - - if (field.LabelData != null) - { - Console.WriteLine($" Label: '{field.LabelData.Text}'"); - } - - Console.WriteLine($" Value: '{field.ValueData.Text}'"); - Console.WriteLine($" Confidence: '{field.Confidence}'"); - } - - // Iterate over tables, lines, and selection marks on each page - foreach (var page in form.Pages) - { - for (int i = 0; i < page.Tables.Count; i++) - { - Console.WriteLine($"Table {i + 1} on page {page.Tables[i].PageNumber}"); - foreach (var cell in page.Tables[i].Cells) - { - Console.WriteLine($" Cell[{cell.RowIndex}][{cell.ColumnIndex}] has text '{cell.Text}' with confidence {cell.Confidence}"); - } - } - Console.WriteLine($"Lines found on page {page.PageNumber}"); - foreach (var line in page.Lines) - { - Console.WriteLine($" Line {line.Text}"); - } - - if (page.SelectionMarks.Count != 0) - { - Console.WriteLine($"Selection marks found on page {page.PageNumber}"); - foreach (var selectionMark in page.SelectionMarks) - { - Console.WriteLine($" Selection mark is '{selectionMark.State}' with confidence {selectionMark.Confidence}"); - } - } - } -} -``` For more information and samples see [here][recognize_custom_forms]. ### Use Prebuilt Models @@ -311,88 +201,6 @@ Extract fields from certain types of common forms using prebuilt models provided For example, to extract fields from a sales receipt, use the prebuilt Receipt model provided by the `StartRecognizeReceiptsAsync` method: -```C# Snippet:FormRecognizerSampleRecognizeReceiptFileStream -string receiptPath = ""; - -using var stream = new FileStream(receiptPath, FileMode.Open); -var options = new RecognizeReceiptsOptions() { Locale = "en-US" }; - -RecognizeReceiptsOperation operation = await client.StartRecognizeReceiptsAsync(stream, options); -Response operationResponse = await operation.WaitForCompletionAsync(); -RecognizedFormCollection receipts = operationResponse.Value; - -// To see the list of the supported fields returned by service and its corresponding types, consult: -// https://aka.ms/formrecognizer/receiptfields - -foreach (RecognizedForm receipt in receipts) -{ - if (receipt.Fields.TryGetValue("MerchantName", out FormField merchantNameField)) - { - if (merchantNameField.Value.ValueType == FieldValueType.String) - { - string merchantName = merchantNameField.Value.AsString(); - - Console.WriteLine($"Merchant Name: '{merchantName}', with confidence {merchantNameField.Confidence}"); - } - } - - if (receipt.Fields.TryGetValue("TransactionDate", out FormField transactionDateField)) - { - if (transactionDateField.Value.ValueType == FieldValueType.Date) - { - DateTime transactionDate = transactionDateField.Value.AsDate(); - - Console.WriteLine($"Transaction Date: '{transactionDate}', with confidence {transactionDateField.Confidence}"); - } - } - - if (receipt.Fields.TryGetValue("Items", out FormField itemsField)) - { - if (itemsField.Value.ValueType == FieldValueType.List) - { - foreach (FormField itemField in itemsField.Value.AsList()) - { - Console.WriteLine("Item:"); - - if (itemField.Value.ValueType == FieldValueType.Dictionary) - { - IReadOnlyDictionary itemFields = itemField.Value.AsDictionary(); - - if (itemFields.TryGetValue("Name", out FormField itemNameField)) - { - if (itemNameField.Value.ValueType == FieldValueType.String) - { - string itemName = itemNameField.Value.AsString(); - - Console.WriteLine($" Name: '{itemName}', with confidence {itemNameField.Confidence}"); - } - } - - if (itemFields.TryGetValue("TotalPrice", out FormField itemTotalPriceField)) - { - if (itemTotalPriceField.Value.ValueType == FieldValueType.Float) - { - float itemTotalPrice = itemTotalPriceField.Value.AsFloat(); - - Console.WriteLine($" Total Price: '{itemTotalPrice}', with confidence {itemTotalPriceField.Confidence}"); - } - } - } - } - } - } - - if (receipt.Fields.TryGetValue("Total", out FormField totalField)) - { - if (totalField.Value.ValueType == FieldValueType.Float) - { - float total = totalField.Value.AsFloat(); - - Console.WriteLine($"Total: '{total}', with confidence '{totalField.Confidence}'"); - } - } -} -``` For more information and samples using prebuilt models see: - [Receipts sample][recognize_receipts]. - [Business Cards sample][recognize_business_cards]. @@ -402,153 +210,16 @@ For more information and samples using prebuilt models see: ### Train a Model Train a machine-learned model on your own form types. The resulting model will be able to recognize values from the types of forms it was trained on. -```C# Snippet:FormRecognizerSampleTrainModelWithForms -// For this sample, you can use the training forms found in the `trainingFiles` folder. -// Upload the forms to your storage container and then generate a container SAS URL. -// For instructions on setting up forms for training in an Azure Storage Blob Container, see -// https://docs.microsoft.com/azure/cognitive-services/form-recognizer/build-training-data-set#upload-your-training-data - -Uri trainingFileUri = ; -FormTrainingClient client = new FormTrainingClient(new Uri(endpoint), new AzureKeyCredential(apiKey), new FormRecognizerClientOptions(FormRecognizerClientOptions.ServiceVersion.V2_1)); - -TrainingOperation operation = await client.StartTrainingAsync(trainingFileUri, useTrainingLabels: false, "My Model"); -Response operationResponse = await operation.WaitForCompletionAsync(); -CustomFormModel model = operationResponse.Value; - -Console.WriteLine($"Custom Model Info:"); -Console.WriteLine($" Model Id: {model.ModelId}"); -Console.WriteLine($" Model name: {model.ModelName}"); -Console.WriteLine($" Model Status: {model.Status}"); -Console.WriteLine($" Is composed model: {model.Properties.IsComposedModel}"); -Console.WriteLine($" Training model started on: {model.TrainingStartedOn}"); -Console.WriteLine($" Training model completed on: {model.TrainingCompletedOn}"); - -foreach (CustomFormSubmodel submodel in model.Submodels) -{ - Console.WriteLine($"Submodel Form Type: {submodel.FormType}"); - foreach (CustomFormModelField field in submodel.Fields.Values) - { - Console.Write($" FieldName: {field.Name}"); - if (field.Label != null) - { - Console.Write($", FieldLabel: {field.Label}"); - } - Console.WriteLine(""); - } -} -``` For more information and samples see [here][train_a_model]. ### Manage Custom Models Manage the custom models stored in your account. -```C# Snippet:FormRecognizerSampleManageCustomModelsAsync -FormTrainingClient client = new FormTrainingClient(new Uri(endpoint), new AzureKeyCredential(apiKey), new FormRecognizerClientOptions(FormRecognizerClientOptions.ServiceVersion.V2_1)); - -// Check number of models in the FormRecognizer account, and the maximum number of models that can be stored. -AccountProperties accountProperties = await client.GetAccountPropertiesAsync(); -Console.WriteLine($"Account has {accountProperties.CustomModelCount} models."); -Console.WriteLine($"It can have at most {accountProperties.CustomModelLimit} models."); - -// List the models currently stored in the account. -AsyncPageable models = client.GetCustomModelsAsync(); - -await foreach (CustomFormModelInfo modelInfo in models) -{ - Console.WriteLine($"Custom Model Info:"); - Console.WriteLine($" Model Id: {modelInfo.ModelId}"); - Console.WriteLine($" Model name: {modelInfo.ModelName}"); - Console.WriteLine($" Is composed model: {modelInfo.Properties.IsComposedModel}"); - Console.WriteLine($" Model Status: {modelInfo.Status}"); - Console.WriteLine($" Training model started on: {modelInfo.TrainingStartedOn}"); - Console.WriteLine($" Training model completed on: : {modelInfo.TrainingCompletedOn}"); -} - -// Create a new model to store in the account -Uri trainingFileUri = ; -TrainingOperation operation = await client.StartTrainingAsync(trainingFileUri, useTrainingLabels: false, "My new model"); -Response operationResponse = await operation.WaitForCompletionAsync(); -CustomFormModel model = operationResponse.Value; - -// Get the model that was just created -CustomFormModel modelCopy = await client.GetCustomModelAsync(model.ModelId); - -Console.WriteLine($"Custom Model with Id {modelCopy.ModelId} and name {modelCopy.ModelName} recognizes the following form types:"); - -foreach (CustomFormSubmodel submodel in modelCopy.Submodels) -{ - Console.WriteLine($"Submodel Form Type: {submodel.FormType}"); - foreach (CustomFormModelField field in submodel.Fields.Values) - { - Console.Write($" FieldName: {field.Name}"); - if (field.Label != null) - { - Console.Write($", FieldLabel: {field.Label}"); - } - Console.WriteLine(""); - } -} - -// Delete the model from the account. -await client.DeleteModelAsync(model.ModelId); -``` For more information and samples see [here][manage_custom_models]. ### Manage Custom Models Synchronously Manage the custom models stored in your account with a synchronous API. Note that we are still making an asynchronous call to `WaitForCompletionAsync` for training, since this method does not have a synchronous counterpart. For more information on long-running operations, see [Long-Running Operations](#long-running-operations). -```C# Snippet:FormRecognizerSampleManageCustomModels -FormTrainingClient client = new FormTrainingClient(new Uri(endpoint), new AzureKeyCredential(apiKey), new FormRecognizerClientOptions(FormRecognizerClientOptions.ServiceVersion.V2_1)); - -// Check number of models in the FormRecognizer account, and the maximum number of models that can be stored. -AccountProperties accountProperties = client.GetAccountProperties(); -Console.WriteLine($"Account has {accountProperties.CustomModelCount} models."); -Console.WriteLine($"It can have at most {accountProperties.CustomModelLimit} models."); - -// List the first ten or fewer models currently stored in the account. -Pageable models = client.GetCustomModels(); - -foreach (CustomFormModelInfo modelInfo in models.Take(10)) -{ - Console.WriteLine($"Custom Model Info:"); - Console.WriteLine($" Model Id: {modelInfo.ModelId}"); - Console.WriteLine($" Model name: {modelInfo.ModelName}"); - Console.WriteLine($" Is composed model: {modelInfo.Properties.IsComposedModel}"); - Console.WriteLine($" Model Status: {modelInfo.Status}"); - Console.WriteLine($" Training model started on: {modelInfo.TrainingStartedOn}"); - Console.WriteLine($" Training model completed on: {modelInfo.TrainingCompletedOn}"); -} - -// Create a new model to store in the account - -Uri trainingFileUri = ; -TrainingOperation operation = client.StartTraining(trainingFileUri, useTrainingLabels: false, "My new model"); -Response operationResponse = await operation.WaitForCompletionAsync(); -CustomFormModel model = operationResponse.Value; - -// Get the model that was just created -CustomFormModel modelCopy = client.GetCustomModel(model.ModelId); - -Console.WriteLine($"Custom Model with Id {modelCopy.ModelId} and name {modelCopy.ModelName} recognizes the following form types:"); - -foreach (CustomFormSubmodel submodel in modelCopy.Submodels) -{ - Console.WriteLine($"Submodel Form Type: {submodel.FormType}"); - foreach (CustomFormModelField field in submodel.Fields.Values) - { - Console.Write($" FieldName: {field.Name}"); - if (field.Label != null) - { - Console.Write($", FieldLabel: {field.Label}"); - } - Console.WriteLine(""); - } -} - -// Delete the model from the account. -client.DeleteModel(model.ModelId); -``` - ## Troubleshooting ### General @@ -556,37 +227,6 @@ When you interact with the Cognitive Services Form Recognizer client library usi For example, if you submit a receipt image with an invalid `Uri`, a `400` error is returned, indicating "Bad Request". -```C# Snippet:FormRecognizerBadRequest -try -{ - RecognizedFormCollection receipts = await client.StartRecognizeReceiptsFromUri(new Uri("http://invalid.uri")).WaitForCompletionAsync(); -} -catch (RequestFailedException e) -{ - Console.WriteLine(e.ToString()); -} -``` - -You will notice that additional information is logged, like the client request ID of the operation. - -``` -Message: - Azure.RequestFailedException: Service request failed. - Status: 400 (Bad Request) - -Content: - {"error":{"code":"FailedToDownloadImage","innerError":{"requestId":"8ca04feb-86db-4552-857c-fde903251518"},"message":"Failed to download image from input URL."}} - -Headers: - Transfer-Encoding: chunked - x-envoy-upstream-service-time: REDACTED - apim-request-id: REDACTED - Strict-Transport-Security: REDACTED - X-Content-Type-Options: REDACTED - Date: Mon, 20 Apr 2020 22:48:35 GMT - Content-Type: application/json; charset=utf-8 -``` - ### Setting up console logging The simplest way to see the logs is to enable the console logging. To create an Azure SDK log listener that outputs messages to console use the AzureEventSourceListener.CreateConsoleLogger method. diff --git a/sdk/formrecognizer/Azure.AI.FormRecognizer/samples/V3/Sample7_CopyCustomModel.md b/sdk/formrecognizer/Azure.AI.FormRecognizer/samples/V3/Sample7_CopyCustomModel.md index 6d788fa251884..1b2777cb71030 100644 --- a/sdk/formrecognizer/Azure.AI.FormRecognizer/samples/V3/Sample7_CopyCustomModel.md +++ b/sdk/formrecognizer/Azure.AI.FormRecognizer/samples/V3/Sample7_CopyCustomModel.md @@ -20,7 +20,7 @@ You can set `endpoint` and `apiKey` based on an environment variable, a configur ### Source client The source client that contains the custom model we want to copy. -```C# Snippet:FormRecognizerSampleCreateCopySourceClient +```C# Snippet:FormRecognizerSampleCreateCopySourceClientV3 string endpoint = ""; string apiKey = ""; var sourcecredential = new AzureKeyCredential(apiKey); @@ -30,7 +30,7 @@ var sourceClient = new FormTrainingClient(new Uri(endpoint), sourcecredential, n ### Target client The target client where we want to copy the custom model to. -```C# Snippet:FormRecognizerSampleCreateCopyTargetClient +```C# Snippet:FormRecognizerSampleCreateCopyTargetClientV3 string endpoint = ""; string apiKey = ""; var targetCredential = new AzureKeyCredential(apiKey); @@ -39,7 +39,7 @@ var targetClient = new FormTrainingClient(new Uri(endpoint), targetCredential, n ### Authorize the copy Before starting the copy, we need to get a `CopyAuthorization` from the target Form Recognizer resource that will give us permission to execute the copy. -```C# Snippet:FormRecognizerSampleGetCopyAuthorization +```C# Snippet:FormRecognizerSampleGetCopyAuthorizationV3 string resourceId = ""; string resourceRegion = ""; CopyAuthorization targetAuth = await targetClient.GetCopyAuthorizationAsync(resourceId, resourceRegion); diff --git a/sdk/formrecognizer/Azure.AI.FormRecognizer/samples/V3/Sample8_ModelCompose.md b/sdk/formrecognizer/Azure.AI.FormRecognizer/samples/V3/Sample8_ModelCompose.md index 7ceaa475010fa..7d2132aa4e3e4 100644 --- a/sdk/formrecognizer/Azure.AI.FormRecognizer/samples/V3/Sample8_ModelCompose.md +++ b/sdk/formrecognizer/Azure.AI.FormRecognizer/samples/V3/Sample8_ModelCompose.md @@ -68,7 +68,7 @@ CustomFormModel cleaningSuppliesModel = cleaningOperationResponse.Value; When a purchase order happens, the employee in charge uploads the form to our application. The application then needs to recognize the form to extract the total value of the purchase order. Instead of asking the user to look for the specific `modelId` according to the nature of the form, you can create a composed model that aggregates the previous models, and use that model in `StartRecognizeCustomForms` and let the service decide which model fits best according to the form provided. -```C# Snippet:FormRecognizerSampleCreateComposedModel +```C# Snippet:FormRecognizerSampleCreateComposedModelV3 List modelIds = new List() { officeSuppliesModel.ModelId, diff --git a/sdk/formrecognizer/Azure.AI.FormRecognizer/tests/samples/SampleSnippets.cs b/sdk/formrecognizer/Azure.AI.FormRecognizer/tests/samples/SampleSnippets.cs new file mode 100644 index 0000000000000..152423d6f9076 --- /dev/null +++ b/sdk/formrecognizer/Azure.AI.FormRecognizer/tests/samples/SampleSnippets.cs @@ -0,0 +1,85 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +using System; +using System.Threading.Tasks; +using Azure.AI.FormRecognizer.DocumentAnalysis.Tests; +using Azure.Core.TestFramework; +using NUnit.Framework; + +namespace Azure.AI.FormRecognizer.DocumentAnalysis.Samples +{ + /// + /// Samples that are used in the associated README.md file. + /// + public partial class Snippets : SamplesBase + { + [Test] + public void CreateDocumentAnalysisClient() + { + #region Snippet:DocumentAnalysisClient +#if SNIPPET + string endpoint = ""; + string apiKey = ""; +#else + string endpoint = TestEnvironment.Endpoint; + string apiKey = TestEnvironment.ApiKey; +#endif + var credential = new AzureKeyCredential(apiKey); + var client = new DocumentAnalysisClient(new Uri(endpoint), credential); + #endregion + } + + [Test] + [Ignore("AAD not working yet")] + public void CreateDocumentAnalysisClientTokenCredential() + { + #region Snippet:CreateDocumentAnalysisClientTokenCredential +#if SNIPPET + string endpoint = ""; +#else + string endpoint = TestEnvironment.Endpoint; +#endif + var client = new DocumentAnalysisClient(new Uri(endpoint), new DefaultAzureCredential()); + #endregion + } + + [Test] + public void CreateDocumentModelAdministrationClient() + { + #region Snippet:CreateDocumentModelAdministrationClient +#if SNIPPET + string endpoint = ""; + string apiKey = ""; +#else + string endpoint = TestEnvironment.Endpoint; + string apiKey = TestEnvironment.ApiKey; +#endif + var credential = new AzureKeyCredential(apiKey); + var client = new DocumentModelAdministrationClient(new Uri(endpoint), credential); + #endregion + } + + [Test] + public async Task BadRequestSnippet() + { + string endpoint = TestEnvironment.Endpoint; + string apiKey = TestEnvironment.ApiKey; + + var credential = new AzureKeyCredential(apiKey); + var client = new DocumentAnalysisClient(new Uri(endpoint), credential); + + #region Snippet:DocumentAnalysisBadRequest + try + { + AnalyzeDocumentOperation operation = await client.StartAnalyzeDocumentFromUriAsync("prebuilt-receipt", new Uri("http://invalid.uri")); + await operation.WaitForCompletionAsync(); + } + catch (RequestFailedException e) + { + Console.WriteLine(e.ToString()); + } + #endregion + } + } +} diff --git a/sdk/formrecognizer/Azure.AI.FormRecognizer/tests/samples/Sample_BuildModelAsyncs.cs b/sdk/formrecognizer/Azure.AI.FormRecognizer/tests/samples/Sample_BuildModelAsyncs.cs new file mode 100644 index 0000000000000..e81e17e850adc --- /dev/null +++ b/sdk/formrecognizer/Azure.AI.FormRecognizer/tests/samples/Sample_BuildModelAsyncs.cs @@ -0,0 +1,57 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +using System; +using System.Collections.Generic; +using System.Threading.Tasks; +using Azure.AI.FormRecognizer.DocumentAnalysis.Tests; +using Azure.Core.TestFramework; +using NUnit.Framework; + +namespace Azure.AI.FormRecognizer.DocumentAnalysis.Samples +{ + public partial class DocumentAnalysisSamples : SamplesBase + { + [Test] + public async Task BuildModelAsync() + { + string endpoint = TestEnvironment.Endpoint; + string apiKey = TestEnvironment.ApiKey; + + #region Snippet:FormRecognizerSampleBuildModel + // For this sample, you can use the training documents found in the `trainingFiles` folder. + // Upload the forms to your storage container and then generate a container SAS URL. + // For instructions to set up forms for training in an Azure Storage Blob Container, please see: + // https://docs.microsoft.com/azure/cognitive-services/form-recognizer/build-training-data-set#upload-your-training-data + +#if SNIPPET + Uri trainingFileUri = ; +#else + Uri trainingFileUri = new Uri(TestEnvironment.BlobContainerSasUrl); +#endif + var client = new DocumentModelAdministrationClient(new Uri(endpoint), new AzureKeyCredential(apiKey)); + + BuildModelOperation operation = await client.StartBuildModelAsync(trainingFileUri); + Response operationResponse = await operation.WaitForCompletionAsync(); + DocumentModel model = operationResponse.Value; + + Console.WriteLine($" Model Id: {model.ModelId}"); + if (string.IsNullOrEmpty(model.Description)) + Console.WriteLine($" Model description: {model.Description}"); + Console.WriteLine($" Created on: {model.CreatedOn}"); + Console.WriteLine(" Doc types the model can recognize:"); + foreach (KeyValuePair docType in model.DocTypes) + { + Console.WriteLine($" Doc type: {docType.Key} which has the following fields:"); + foreach (KeyValuePair schema in docType.Value.FieldSchema) + { + Console.WriteLine($" Field: {schema.Key} has type {schema.Value.Type}"); + } + } + #endregion + + // Delete the model on completion to clean environment. + await client.DeleteModelAsync(model.ModelId); + } + } +} diff --git a/sdk/formrecognizer/Azure.AI.FormRecognizer/tests/samples/Sample_CopyModelAsync.cs b/sdk/formrecognizer/Azure.AI.FormRecognizer/tests/samples/Sample_CopyModelAsync.cs new file mode 100644 index 0000000000000..4350cbdc08ccd --- /dev/null +++ b/sdk/formrecognizer/Azure.AI.FormRecognizer/tests/samples/Sample_CopyModelAsync.cs @@ -0,0 +1,68 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +using System; +using System.Threading.Tasks; +using Azure.AI.FormRecognizer.DocumentAnalysis.Tests; +using Azure.Core.TestFramework; +using NUnit.Framework; + +namespace Azure.AI.FormRecognizer.DocumentAnalysis.Samples +{ + public partial class DocumentAnalysisSamples : SamplesBase + { + [Test] + public async Task CopyModelAsync() + { + string endpoint = TestEnvironment.Endpoint; + string apiKey = TestEnvironment.ApiKey; + + #region Snippet:FormRecognizerSampleCreateCopySourceClient +#if SNIPPET + string endpoint = ""; + string apiKey = ""; +#endif + var sourcecredential = new AzureKeyCredential(apiKey); + var sourceClient = new DocumentModelAdministrationClient(new Uri(endpoint), new AzureKeyCredential(apiKey)); + #endregion + + // For the purpose of this sample, we are going to create a model to copy. Please note that + // if you already have a model, this is not necessary. +#if SNIPPET + Uri trainingFileUri = ; +#else + Uri trainingFileUri = new Uri(TestEnvironment.BlobContainerSasUrl); +#endif + BuildModelOperation operation = await sourceClient.StartBuildModelAsync(trainingFileUri); + Response operationResponse = await operation.WaitForCompletionAsync(); + DocumentModel model = operationResponse.Value; + + #region Snippet:FormRecognizerSampleCreateCopyTargetClient +#if SNIPPET + string endpoint = ""; + string apiKey = ""; +#endif + var targetCredential = new AzureKeyCredential(apiKey); + var targetClient = new DocumentModelAdministrationClient(new Uri(endpoint), new AzureKeyCredential(apiKey)); + #endregion + + #region Snippet:FormRecognizerSampleGetCopyAuthorization + CopyAuthorization targetAuth = await targetClient.GetCopyAuthorizationAsync(); + #endregion + + #region Snippet:FormRecognizerSampleCreateCopyModel +#if SNIPPET + string modelId = ""; +#else + string modelId = model.ModelId; +#endif + CopyModelOperation newModelOperation = await sourceClient.StartCopyModelAsync(modelId, targetAuth); + await newModelOperation.WaitForCompletionAsync(); + DocumentModel newModel = newModelOperation.Value; + + Console.WriteLine($"Original model ID => {modelId}"); + Console.WriteLine($"Copied model ID => {newModel.ModelId}"); + #endregion + } + } +} diff --git a/sdk/formrecognizer/Azure.AI.FormRecognizer/tests/samples/Sample_CreateComposedModelAsync.cs b/sdk/formrecognizer/Azure.AI.FormRecognizer/tests/samples/Sample_CreateComposedModelAsync.cs new file mode 100644 index 0000000000000..11929f9d81176 --- /dev/null +++ b/sdk/formrecognizer/Azure.AI.FormRecognizer/tests/samples/Sample_CreateComposedModelAsync.cs @@ -0,0 +1,105 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +using System; +using System.Collections.Generic; +using System.Threading.Tasks; +using Azure.AI.FormRecognizer.DocumentAnalysis.Tests; +using Azure.Core.TestFramework; +using NUnit.Framework; + +namespace Azure.AI.FormRecognizer.DocumentAnalysis.Samples +{ + public partial class DocumentAnalysisSamples : SamplesBase + { + [Test] + public async Task CreateComposedModelAsync() + { + string endpoint = TestEnvironment.Endpoint; + string apiKey = TestEnvironment.ApiKey; + string trainingFileUrl = TestEnvironment.BlobContainerSasUrl; + + var client = new DocumentModelAdministrationClient(new Uri(endpoint), new AzureKeyCredential(apiKey)); + + #region Snippet:FormRecognizerSampleBuildVariousModels + // For this sample, you can use the training forms found in the `trainingFiles` folder. + // Upload the forms to your storage container and then generate a container SAS URL. + // For instructions on setting up forms for training in an Azure Storage Blob Container, see + // https://docs.microsoft.com/azure/cognitive-services/form-recognizer/build-training-data-set#upload-your-training-data + +#if SNIPPET + Uri officeSuppliesUri = ; +#else + Uri officeSuppliesUri = new Uri(trainingFileUrl); +#endif + var officeSupplieOptions = new BuildModelOptions() { ModelDescription = "Purchase order - Office supplies" }; + + BuildModelOperation suppliesOperation = await client.StartBuildModelAsync(officeSuppliesUri, buildModelOptions: officeSupplieOptions); + Response suppliesOperationResponse = await suppliesOperation.WaitForCompletionAsync(); + DocumentModel officeSuppliesModel = suppliesOperationResponse.Value; + +#if SNIPPET + Uri officeEquipmentUri = ; +#else + Uri officeEquipmentUri = new Uri(trainingFileUrl); +#endif + var equipmentOptions = new BuildModelOptions() { ModelDescription = "Purchase order - Office Equipment" }; + + BuildModelOperation equipmentOperation = await client.StartBuildModelAsync(officeSuppliesUri, buildModelOptions: equipmentOptions); + Response equipmentOperationResponse = await equipmentOperation.WaitForCompletionAsync(); + DocumentModel officeEquipmentModel = equipmentOperationResponse.Value; + +#if SNIPPET + Uri furnitureUri = ; +#else + Uri furnitureUri = new Uri(trainingFileUrl); +#endif + var furnitureOptions = new BuildModelOptions() { ModelDescription = "Purchase order - Furniture" }; + + BuildModelOperation furnitureOperation = await client.StartBuildModelAsync(officeSuppliesUri, buildModelOptions: equipmentOptions); + Response furnitureOperationResponse = await furnitureOperation.WaitForCompletionAsync(); + DocumentModel furnitureModel = furnitureOperationResponse.Value; + +#if SNIPPET + Uri cleaningSuppliesUri = ; +#else + Uri cleaningSuppliesUri = new Uri(trainingFileUrl); +#endif + var cleaningOptions = new BuildModelOptions() { ModelDescription = "Purchase order - Cleaning Supplies" }; + + BuildModelOperation cleaningOperation = await client.StartBuildModelAsync(officeSuppliesUri, buildModelOptions: equipmentOptions); + Response cleaningOperationResponse = await cleaningOperation.WaitForCompletionAsync(); + DocumentModel cleaningSuppliesModel = cleaningOperationResponse.Value; + + #endregion + + #region Snippet:FormRecognizerSampleCreateComposedModel + + List modelIds = new List() + { + officeSuppliesModel.ModelId, + officeEquipmentModel.ModelId, + furnitureModel.ModelId, + cleaningSuppliesModel.ModelId + }; + + BuildModelOperation operation = await client.StartCreateComposedModelAsync(modelIds, modelDescription: "Composed Purchase order"); + Response operationResponse = await operation.WaitForCompletionAsync(); + DocumentModel purchaseOrderModel = operationResponse.Value; + + Console.WriteLine($" Model Id: {purchaseOrderModel.ModelId}"); + if (string.IsNullOrEmpty(purchaseOrderModel.Description)) + Console.WriteLine($" Model description: {purchaseOrderModel.Description}"); + Console.WriteLine($" Created on: {purchaseOrderModel.CreatedOn}"); + + #endregion + + // Delete the models on completion to clean environment. + await client.DeleteModelAsync(officeSuppliesModel.ModelId).ConfigureAwait(false); + await client.DeleteModelAsync(officeEquipmentModel.ModelId).ConfigureAwait(false); + await client.DeleteModelAsync(furnitureModel.ModelId).ConfigureAwait(false); + await client.DeleteModelAsync(cleaningSuppliesModel.ModelId).ConfigureAwait(false); + await client.DeleteModelAsync(purchaseOrderModel.ModelId).ConfigureAwait(false); + } + } +} diff --git a/sdk/formrecognizer/Azure.AI.FormRecognizer/tests/samples/Sample_ManageModels.cs b/sdk/formrecognizer/Azure.AI.FormRecognizer/tests/samples/Sample_ManageModels.cs new file mode 100644 index 0000000000000..e11abf48a11cf --- /dev/null +++ b/sdk/formrecognizer/Azure.AI.FormRecognizer/tests/samples/Sample_ManageModels.cs @@ -0,0 +1,69 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +using System; +using System.Linq; +using System.Threading.Tasks; +using Azure.AI.FormRecognizer.DocumentAnalysis.Tests; +using Azure.Core.TestFramework; +using NUnit.Framework; + +namespace Azure.AI.FormRecognizer.DocumentAnalysis.Samples +{ + public partial class DocumentAnalysisSamples : SamplesBase + { + [Test] + public async Task ManageModels() + { + string endpoint = TestEnvironment.Endpoint; + string apiKey = TestEnvironment.ApiKey; + + #region Snippet:FormRecognizerSampleManageModels + + var client = new DocumentModelAdministrationClient(new Uri(endpoint), new AzureKeyCredential(apiKey)); + + // Check number of custom models in the FormRecognizer account, and the maximum number of models that can be stored. + AccountProperties accountProperties = client.GetAccountProperties(); + Console.WriteLine($"Account has {accountProperties.Count} models."); + Console.WriteLine($"It can have at most {accountProperties.Limit} models."); + + // List the first ten or fewer models currently stored in the account. + Pageable models = client.GetModels(); + + foreach (DocumentModelInfo modelInfo in models.Take(10)) + { + Console.WriteLine($"Custom Model Info:"); + Console.WriteLine($" Model Id: {modelInfo.ModelId}"); + if (string.IsNullOrEmpty(modelInfo.Description)) + Console.WriteLine($" Model description: {modelInfo.Description}"); + Console.WriteLine($" Created on: {modelInfo.CreatedOn}"); + } + + // Create a new model to store in the account + +#if SNIPPET + Uri trainingFileUri = ; +#else + Uri trainingFileUri = new Uri(TestEnvironment.BlobContainerSasUrl); +#endif + BuildModelOperation operation = client.StartBuildModel(trainingFileUri); + Response operationResponse = await operation.WaitForCompletionAsync(); + DocumentModel model = operationResponse.Value; + + // Get the model that was just created + DocumentModel newCreatedModel = client.GetModel(model.ModelId); + + Console.WriteLine($"Custom Model with Id {newCreatedModel.ModelId} has the following information:"); + + Console.WriteLine($" Model Id: {newCreatedModel.ModelId}"); + if (string.IsNullOrEmpty(newCreatedModel.Description)) + Console.WriteLine($" Model description: {newCreatedModel.Description}"); + Console.WriteLine($" Created on: {newCreatedModel.CreatedOn}"); + + // Delete the created model from the account. + client.DeleteModel(newCreatedModel.ModelId); + + #endregion + } + } +} diff --git a/sdk/formrecognizer/Azure.AI.FormRecognizer/tests/samples/Sample_ManageModelsAsync.cs b/sdk/formrecognizer/Azure.AI.FormRecognizer/tests/samples/Sample_ManageModelsAsync.cs new file mode 100644 index 0000000000000..4d6b00f27687e --- /dev/null +++ b/sdk/formrecognizer/Azure.AI.FormRecognizer/tests/samples/Sample_ManageModelsAsync.cs @@ -0,0 +1,70 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +using System; +using System.Threading.Tasks; +using Azure.AI.FormRecognizer.DocumentAnalysis.Tests; +using Azure.Core.TestFramework; +using NUnit.Framework; + +namespace Azure.AI.FormRecognizer.DocumentAnalysis.Samples +{ + public partial class DocumentAnalysisSamples : SamplesBase + { + [Test] + public async Task ManageModelsAsync() + { + string endpoint = TestEnvironment.Endpoint; + string apiKey = TestEnvironment.ApiKey; + + #region Snippet:FormRecognizerSampleManageModelsAsync + + var client = new DocumentModelAdministrationClient(new Uri(endpoint), new AzureKeyCredential(apiKey)); + + // Check number of models in the FormRecognizer account, and the maximum number of models that can be stored. + AccountProperties accountProperties = await client.GetAccountPropertiesAsync(); + Console.WriteLine($"Account has {accountProperties.Count} models."); + Console.WriteLine($"It can have at most {accountProperties.Limit} models."); + + // List the first ten or fewer models currently stored in the account. + AsyncPageable models = client.GetModelsAsync(); + + int count = 0; + await foreach (DocumentModelInfo modelInfo in models) + { + Console.WriteLine($"Custom Model Info:"); + Console.WriteLine($" Model Id: {modelInfo.ModelId}"); + if (string.IsNullOrEmpty(modelInfo.Description)) + Console.WriteLine($" Model description: {modelInfo.Description}"); + Console.WriteLine($" Created on: {modelInfo.CreatedOn}"); + if (++count == 10) + break; + } + + // Create a new model to store in the account +#if SNIPPET + Uri trainingFileUri = ; +#else + Uri trainingFileUri = new Uri(TestEnvironment.BlobContainerSasUrl); +#endif + BuildModelOperation operation = await client.StartBuildModelAsync(trainingFileUri); + Response operationResponse = await operation.WaitForCompletionAsync(); + DocumentModel model = operationResponse.Value; + + // Get the model that was just created + DocumentModel newCreatedModel = await client.GetModelAsync(model.ModelId); + + Console.WriteLine($"Custom Model with Id {newCreatedModel.ModelId} has the following information:"); + + Console.WriteLine($" Model Id: {newCreatedModel.ModelId}"); + if (string.IsNullOrEmpty(newCreatedModel.Description)) + Console.WriteLine($" Model description: {newCreatedModel.Description}"); + Console.WriteLine($" Created on: {newCreatedModel.CreatedOn}"); + + // Delete the model from the account. + await client.DeleteModelAsync(newCreatedModel.ModelId); + + #endregion + } + } +} diff --git a/sdk/formrecognizer/Azure.AI.FormRecognizer/tests/samples/V3/Sample11_ComposedModel.cs b/sdk/formrecognizer/Azure.AI.FormRecognizer/tests/samples/V3/Sample11_ComposedModel.cs index 8ecec48326458..f9c19501dfb23 100644 --- a/sdk/formrecognizer/Azure.AI.FormRecognizer/tests/samples/V3/Sample11_ComposedModel.cs +++ b/sdk/formrecognizer/Azure.AI.FormRecognizer/tests/samples/V3/Sample11_ComposedModel.cs @@ -79,7 +79,7 @@ public async Task CreateComposedModel() #endregion - #region Snippet:FormRecognizerSampleCreateComposedModel + #region Snippet:FormRecognizerSampleCreateComposedModelV3 List modelIds = new List() { diff --git a/sdk/formrecognizer/Azure.AI.FormRecognizer/tests/samples/V3/Sample8_CopyModel.cs b/sdk/formrecognizer/Azure.AI.FormRecognizer/tests/samples/V3/Sample8_CopyModel.cs index 4a45eecbd29f7..a42ee27d203b2 100644 --- a/sdk/formrecognizer/Azure.AI.FormRecognizer/tests/samples/V3/Sample8_CopyModel.cs +++ b/sdk/formrecognizer/Azure.AI.FormRecognizer/tests/samples/V3/Sample8_CopyModel.cs @@ -18,7 +18,7 @@ public async Task CopyModel() string endpoint = TestEnvironment.Endpoint; string apiKey = TestEnvironment.ApiKey; - #region Snippet:FormRecognizerSampleCreateCopySourceClient + #region Snippet:FormRecognizerSampleCreateCopySourceClientV3 #if SNIPPET string endpoint = ""; string apiKey = ""; @@ -38,7 +38,7 @@ public async Task CopyModel() Response operationResponse = await operation.WaitForCompletionAsync(); CustomFormModel model = operationResponse.Value; - #region Snippet:FormRecognizerSampleCreateCopyTargetClient + #region Snippet:FormRecognizerSampleCreateCopyTargetClientV3 #if SNIPPET string endpoint = ""; string apiKey = ""; @@ -47,7 +47,7 @@ public async Task CopyModel() var targetClient = new FormTrainingClient(new Uri(endpoint), targetCredential, new FormRecognizerClientOptions(FormRecognizerClientOptions.ServiceVersion.V2_1)); #endregion - #region Snippet:FormRecognizerSampleGetCopyAuthorization + #region Snippet:FormRecognizerSampleGetCopyAuthorizationV3 #if SNIPPET string resourceId = ""; string resourceRegion = ""; diff --git a/sdk/formrecognizer/Azure.AI.FormRecognizer/tests/samples/V3/trainingFiles/Form_1.jpg b/sdk/formrecognizer/Azure.AI.FormRecognizer/tests/samples/V3/trainingFiles/Form_1.jpg new file mode 100644 index 0000000000000000000000000000000000000000..29cae664f1b859964b3813334de551c7f22ca54c GIT binary patch literal 479269 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