public async Task AnalyzeOperationWithPagination()
{
TextAnalyticsClient client = GetClient();
List <string> documents = new();
for (int i = 0; i < 23; i++)
{
documents.Add("Elon Musk is the CEO of SpaceX and Tesla.");
}
TextAnalyticsActions batchActions = new TextAnalyticsActions()
{
ExtractKeyPhrasesActions = new List <ExtractKeyPhrasesAction>()
{
new ExtractKeyPhrasesAction()
},
DisplayName = "AnalyzeOperationWithPagination",
};
AnalyzeActionsOperation operation = await client.StartAnalyzeActionsAsync(documents, batchActions);
Assert.IsFalse(operation.HasCompleted);
Assert.IsFalse(operation.HasValue);
Assert.ThrowsAsync <InvalidOperationException>(async() => await Task.Run(() => operation.Value));
Assert.Throws <InvalidOperationException>(() => operation.GetValues());
await operation.WaitForCompletionAsync();
Assert.IsTrue(operation.HasCompleted);
Assert.IsTrue(operation.HasValue);
// try async
//There most be 2 pages as service limit is 20 documents per page
List <AnalyzeActionsResult> asyncPages = operation.Value.ToEnumerableAsync().Result;
Assert.AreEqual(2, asyncPages.Count);
// First page should have 20 results
Assert.AreEqual(20, asyncPages[0].ExtractKeyPhrasesActionsResults.FirstOrDefault().Result.Count);
// Second page should have remaining 3 results
Assert.AreEqual(3, asyncPages[1].ExtractKeyPhrasesActionsResults.FirstOrDefault().Result.Count);
// try sync
//There most be 2 pages as service limit is 20 documents per page
List <AnalyzeActionsResult> pages = operation.GetValues().AsEnumerable().ToList();
Assert.AreEqual(2, pages.Count);
// First page should have 20 results
Assert.AreEqual(20, pages[0].ExtractKeyPhrasesActionsResults.FirstOrDefault().Result.Count);
// Second page should have remaining 3 results
Assert.AreEqual(3, pages[1].ExtractKeyPhrasesActionsResults.FirstOrDefault().Result.Count);
}
public void MultiCategoryClassifyConvenience()
{
// Create a text analytics client.
string endpoint = TestEnvironment.Endpoint;
string apiKey = TestEnvironment.ApiKey;
var client = new TextAnalyticsClient(new Uri(endpoint), new AzureKeyCredential(apiKey));
// Get input document.
string document = @"I need a reservation for an indoor restaurant in China. Please don't stop the music. Play music and add it to my playlist.";
// Prepare analyze operation input. You can add multiple documents to this list and perform the same
// operation to all of them.
var batchInput = new List <string>
{
document
};
// Set project and deployment names of the target model
// To train a model to classify your documents, see https://aka.ms/azsdk/textanalytics/customfunctionalities
string projectName = TestEnvironment.MultiClassificationProjectName;
string deploymentName = TestEnvironment.MultiClassificationDeploymentName;
var multiCategoryClassifyAction = new MultiCategoryClassifyAction(projectName, deploymentName);
TextAnalyticsActions actions = new TextAnalyticsActions()
{
MultiCategoryClassifyActions = new List <MultiCategoryClassifyAction>()
{
multiCategoryClassifyAction
}
};
// Start analysis process.
AnalyzeActionsOperation operation = client.StartAnalyzeActions(batchInput, actions);
// Wait for completion with manual polling.
TimeSpan pollingInterval = new TimeSpan(1000);
while (true)
{
Console.WriteLine($"Status: {operation.Status}");
operation.UpdateStatus();
if (operation.HasCompleted)
{
break;
}
Thread.Sleep(pollingInterval);
}
// View operation status.
Console.WriteLine($"AnalyzeActions operation has completed");
Console.WriteLine();
Console.WriteLine($"Created On : {operation.CreatedOn}");
Console.WriteLine($"Expires On : {operation.ExpiresOn}");
Console.WriteLine($"Id : {operation.Id}");
Console.WriteLine($"Status : {operation.Status}");
Console.WriteLine($"Last Modified: {operation.LastModified}");
Console.WriteLine();
// View operation results.
foreach (AnalyzeActionsResult documentsInPage in operation.GetValues())
{
IReadOnlyCollection <MultiCategoryClassifyActionResult> multiClassificationActionResults = documentsInPage.MultiCategoryClassifyResults;
foreach (MultiCategoryClassifyActionResult classificationActionResults in multiClassificationActionResults)
{
Console.WriteLine($" Action name: {classificationActionResults.ActionName}");
foreach (MultiCategoryClassifyResult documentResults in classificationActionResults.DocumentsResults)
{
if (documentResults.Classifications.Count > 0)
{
Console.WriteLine($" The following classes were predicted for this document:");
foreach (ClassificationCategory classification in documentResults.Classifications)
{
Console.WriteLine($" Class category \"{classification.Category}\" predicted with a confidence score of {classification.ConfidenceScore}.");
}
Console.WriteLine();
}
}
}
}
}
public void ExtractSummary()
{
// Create a text analytics client.
string endpoint = TestEnvironment.Endpoint;
string apiKey = TestEnvironment.ApiKey;
var client = new TextAnalyticsClient(new Uri(endpoint), new AzureKeyCredential(apiKey));
// Get input document.
string document = @"Windows 365 was in the works before COVID-19 sent companies around the world on a scramble to secure solutions to support employees suddenly forced to work from home, but “what really put the firecracker behind it was the pandemic, it accelerated everything,” McKelvey said. She explained that customers were asking, “’How do we create an experience for people that makes them still feel connected to the company without the physical presence of being there?”
In this new world of Windows 365, remote workers flip the lid on their laptop, bootup the family workstation or clip a keyboard onto a tablet, launch a native app or modern web browser and login to their Windows 365 account.From there, their Cloud PC appears with their background, apps, settings and content just as they left it when they last were last there – in the office, at home or a coffee shop.
And then, when you’re done, you’re done.You won’t have any issues around security because you’re not saving anything on your device,” McKelvey said, noting that all the data is stored in the cloud.
The ability to login to a Cloud PC from anywhere on any device is part of Microsoft’s larger strategy around tailoring products such as Microsoft Teams and Microsoft 365 for the post-pandemic hybrid workforce of the future, she added. It enables employees accustomed to working from home to continue working from home; it enables companies to hire interns from halfway around the world; it allows startups to scale without requiring IT expertise.
“I think this will be interesting for those organizations who, for whatever reason, have shied away from virtualization.This is giving them an opportunity to try it in a way that their regular, everyday endpoint admin could manage,” McKelvey said.
The simplicity of Windows 365 won over Dean Wells, the corporate chief information officer for the Government of Nunavut. His team previously attempted to deploy a traditional virtual desktop infrastructure and found it inefficient and unsustainable given the limitations of low-bandwidth satellite internet and the constant need for IT staff to manage the network and infrastructure.
We didn’t run it for very long,” he said. “It didn’t turn out the way we had hoped.So, we actually had terminated the project and rolled back out to just regular PCs.”
He re-evaluated this decision after the Government of Nunavut was hit by a ransomware attack in November 2019 that took down everything from the phone system to the government’s servers. Microsoft helped rebuild the system, moving the government to Teams, SharePoint, OneDrive and Microsoft 365. Manchester’s team recruited the Government of Nunavut to pilot Windows 365. Wells was intrigued, especially by the ability to manage the elastic workforce securely and seamlessly.
“The impact that I believe we are finding, and the impact that we’re going to find going forward, is being able to access specialists from outside the territory and organizations outside the territory to come in and help us with our projects, being able to get people on staff with us to help us deliver the day-to-day expertise that we need to run the government,” he said.
“Being able to improve healthcare, being able to improve education, economic development is going to improve the quality of life in the communities.”";
// Prepare analyze operation input. You can add multiple documents to this list and perform the same
// operation to all of them.
var batchDocuments = new List <TextDocumentInput>
{
new TextDocumentInput("1", document)
{
Language = "en",
}
};
var summaryAction = new ExtractSummaryAction()
{
MaxSentenceCount = 5,
OrderBy = SummarySentencesOrder.Rank
};
TextAnalyticsActions actions = new TextAnalyticsActions()
{
ExtractSummaryActions = new List <ExtractSummaryAction>()
{
summaryAction
}
};
// Start analysis process.
AnalyzeActionsOperation operation = client.StartAnalyzeActions(batchDocuments, actions);
// Wait for completion with manual polling.
TimeSpan pollingInterval = new TimeSpan(1000);
while (true)
{
Console.WriteLine($"Status: {operation.Status}");
operation.UpdateStatus();
if (operation.HasCompleted)
{
break;
}
Thread.Sleep(pollingInterval);
}
// View operation status.
Console.WriteLine($"AnalyzeActions operation has completed");
Console.WriteLine();
Console.WriteLine($"Created On : {operation.CreatedOn}");
Console.WriteLine($"Expires On : {operation.ExpiresOn}");
Console.WriteLine($"Id : {operation.Id}");
Console.WriteLine($"Status : {operation.Status}");
Console.WriteLine($"Last Modified: {operation.LastModified}");
Console.WriteLine();
// View operation results.
foreach (AnalyzeActionsResult documentsInPage in operation.GetValues())
{
IReadOnlyCollection <ExtractSummaryActionResult> summaryResults = documentsInPage.ExtractSummaryResults;
foreach (ExtractSummaryActionResult summaryActionResults in summaryResults)
{
if (summaryActionResults.HasError)
{
Console.WriteLine($" Error!");
Console.WriteLine($" Action error code: {summaryActionResults.Error.ErrorCode}.");
Console.WriteLine($" Message: {summaryActionResults.Error.Message}");
continue;
}
foreach (ExtractSummaryResult documentResults in summaryActionResults.DocumentsResults)
{
if (documentResults.HasError)
{
Console.WriteLine($" Error!");
Console.WriteLine($" Document error code: {documentResults.Error.ErrorCode}.");
Console.WriteLine($" Message: {documentResults.Error.Message}");
continue;
}
Console.WriteLine($" Extracted the following {documentResults.Sentences.Count} sentence(s):");
Console.WriteLine();
foreach (SummarySentence sentence in documentResults.Sentences)
{
Console.WriteLine($" Sentence: {sentence.Text}");
Console.WriteLine($" Rank Score: {sentence.RankScore}");
Console.WriteLine($" Offset: {sentence.Offset}");
Console.WriteLine($" Length: {sentence.Length}");
Console.WriteLine();
}
}
}
}
}
public void AnalyzeOperation()
{
string endpoint = TestEnvironment.Endpoint;
string apiKey = TestEnvironment.ApiKey;
var client = new TextAnalyticsClient(new Uri(endpoint), new AzureKeyCredential(apiKey));
string documentA = @"We love this trail and make the trip every year. The views are breathtaking and well
worth the hike! Yesterday was foggy though, so we missed the spectacular views.
We tried again today and it was amazing. Everyone in my family liked the trail although
it was too challenging for the less athletic among us.";
string documentB = @"Last week we stayed at Hotel Foo to celebrate our anniversary. The staff knew about
our anniversary so they helped me organize a little surprise for my partner.
The room was clean and with the decoration I requested. It was perfect!";
var batchDocuments = new List <TextDocumentInput>
{
new TextDocumentInput("1", documentA)
{
Language = "en",
},
new TextDocumentInput("2", documentB)
{
Language = "en",
}
};
TextAnalyticsActions actions = new TextAnalyticsActions()
{
ExtractKeyPhrasesActions = new List <ExtractKeyPhrasesAction>()
{
new ExtractKeyPhrasesAction()
},
RecognizeEntitiesActions = new List <RecognizeEntitiesAction>()
{
new RecognizeEntitiesAction()
},
DisplayName = "AnalyzeOperationSample"
};
AnalyzeActionsOperation operation = client.StartAnalyzeActions(batchDocuments, actions);
TimeSpan pollingInterval = new TimeSpan(1000);
while (!operation.HasCompleted)
{
Thread.Sleep(pollingInterval);
operation.UpdateStatus();
Console.WriteLine($"Status: {operation.Status}");
//If operation has not started, all other fields are null
if (operation.Status != TextAnalyticsOperationStatus.NotStarted)
{
Console.WriteLine($"Expires On: {operation.ExpiresOn}");
Console.WriteLine($"Last modified: {operation.LastModified}");
if (!string.IsNullOrEmpty(operation.DisplayName))
{
Console.WriteLine($"Display name: {operation.DisplayName}");
}
Console.WriteLine($"Total actions: {operation.ActionsTotal}");
Console.WriteLine($" Succeeded actions: {operation.ActionsSucceeded}");
Console.WriteLine($" Failed actions: {operation.ActionsFailed}");
Console.WriteLine($" In progress actions: {operation.ActionsInProgress}");
}
}
foreach (AnalyzeActionsResult documentsInPage in operation.GetValues())
{
IReadOnlyCollection <ExtractKeyPhrasesActionResult> keyPhrasesResults = documentsInPage.ExtractKeyPhrasesResults;
IReadOnlyCollection <RecognizeEntitiesActionResult> entitiesResults = documentsInPage.RecognizeEntitiesResults;
Console.WriteLine("Recognized Entities");
int docNumber = 1;
foreach (RecognizeEntitiesActionResult entitiesActionResults in entitiesResults)
{
Console.WriteLine($" Action name: {entitiesActionResults.ActionName}");
foreach (RecognizeEntitiesResult documentResults in entitiesActionResults.DocumentsResults)
{
Console.WriteLine($" Document #{docNumber++}");
Console.WriteLine($" Recognized the following {documentResults.Entities.Count} entities:");
foreach (CategorizedEntity entity in documentResults.Entities)
{
Console.WriteLine($" Entity: {entity.Text}");
Console.WriteLine($" Category: {entity.Category}");
Console.WriteLine($" Offset: {entity.Offset}");
Console.WriteLine($" Length: {entity.Length}");
Console.WriteLine($" ConfidenceScore: {entity.ConfidenceScore}");
Console.WriteLine($" SubCategory: {entity.SubCategory}");
}
Console.WriteLine("");
}
}
Console.WriteLine("Key Phrases");
docNumber = 1;
foreach (ExtractKeyPhrasesActionResult keyPhrasesActionResult in keyPhrasesResults)
{
foreach (ExtractKeyPhrasesResult documentResults in keyPhrasesActionResult.DocumentsResults)
{
Console.WriteLine($" Document #{docNumber++}");
Console.WriteLine($" Recognized the following {documentResults.KeyPhrases.Count} Keyphrases:");
foreach (string keyphrase in documentResults.KeyPhrases)
{
Console.WriteLine($" {keyphrase}");
}
Console.WriteLine("");
}
}
}
}
public void RecognizeCustomEntities()
{
// Create a text analytics client.
string endpoint = TestEnvironment.Endpoint;
string apiKey = TestEnvironment.ApiKey;
var client = new TextAnalyticsClient(new Uri(endpoint), new AzureKeyCredential(apiKey));
// Create input documents.
string documentA = @"A recent report by the Government Accountability Office (GAO) found that the dramatic
increase in oil and natural gas development on federal lands over the past six years
has stretched the staff of the BLM to a point that it has been unable to meet its
environmental protection responsibilities.";
string documentB = @"David Schmidt, senior vice president--Food Safety, International Food Information
Council (IFIC), Washington, D.C., discussed the physical activity component.";
var batchDocuments = new List <TextDocumentInput>
{
new TextDocumentInput("1", documentA)
{
Language = "en",
},
new TextDocumentInput("2", documentB)
{
Language = "en",
}
};
// Set project and deployment names of the target model
// To train a model to recognize your custom entities, see https://aka.ms/azsdk/textanalytics/customentityrecognition
string projectName = TestEnvironment.RecognizeCustomEntitiesProjectName;
string deploymentName = TestEnvironment.RecognizeCustomEntitiesDeploymentName;
var recognizeCustomEntitiesAction = new RecognizeCustomEntitiesAction(projectName, deploymentName);
// prepare actions.
var actions = new TextAnalyticsActions()
{
RecognizeCustomEntitiesActions = new List <RecognizeCustomEntitiesAction>()
{
recognizeCustomEntitiesAction
}
};
// Start analysis process.
AnalyzeActionsOperation operation = client.StartAnalyzeActions(batchDocuments, actions);
// Wait for completion with manual polling.
TimeSpan pollingInterval = new TimeSpan(1000);
while (true)
{
Console.WriteLine($"Status: {operation.Status}");
operation.UpdateStatus();
if (operation.HasCompleted)
{
break;
}
Thread.Sleep(pollingInterval);
}
// View operation status.
Console.WriteLine($"AnalyzeActions operation has completed");
Console.WriteLine();
Console.WriteLine($"Created On : {operation.CreatedOn}");
Console.WriteLine($"Expires On : {operation.ExpiresOn}");
Console.WriteLine($"Id : {operation.Id}");
Console.WriteLine($"Status : {operation.Status}");
Console.WriteLine($"Last Modified: {operation.LastModified}");
Console.WriteLine();
// View operation results.
foreach (AnalyzeActionsResult documentsInPage in operation.GetValues())
{
IReadOnlyCollection <RecognizeCustomEntitiesActionResult> customEntitiesActionResults = documentsInPage.RecognizeCustomEntitiesResults;
foreach (RecognizeCustomEntitiesActionResult customEntitiesActionResult in customEntitiesActionResults)
{
Console.WriteLine($" Action name: {customEntitiesActionResult.ActionName}");
int docNumber = 1;
foreach (RecognizeEntitiesResult documentResults in customEntitiesActionResult.DocumentsResults)
{
Console.WriteLine($" Document #{docNumber++}");
Console.WriteLine($" Recognized the following {documentResults.Entities.Count} entities:");
foreach (CategorizedEntity entity in documentResults.Entities)
{
Console.WriteLine($" Entity: {entity.Text}");
Console.WriteLine($" Category: {entity.Category}");
Console.WriteLine($" Offset: {entity.Offset}");
Console.WriteLine($" Length: {entity.Length}");
Console.WriteLine($" ConfidenceScore: {entity.ConfidenceScore}");
Console.WriteLine($" SubCategory: {entity.SubCategory}");
}
Console.WriteLine("");
}
}
}
}
public void RecognizeCustomEntitiesConvenience()
{
// Create a text analytics client.
string endpoint = TestEnvironment.Endpoint;
string apiKey = TestEnvironment.ApiKey;
var client = new TextAnalyticsClient(new Uri(endpoint), new AzureKeyCredential(apiKey), CreateSampleOptions());
// Create input documents.
string documentA = @"We love this trail and make the trip every year. The views are breathtaking and well
worth the hike! Yesterday was foggy though, so we missed the spectacular views.
We tried again today and it was amazing. Everyone in my family liked the trail although
it was too challenging for the less athletic among us.";
string documentB = @"Last week we stayed at Hotel Foo to celebrate our anniversary. The staff knew about
our anniversary so they helped me organize a little surprise for my partner.
The room was clean and with the decoration I requested. It was perfect!";
var batchDocuments = new List <string>
{
documentA,
documentB
};
// Set project and deployment names of the target model
// To train a model to recognize your custom entities, see https://aka.ms/azsdk/textanalytics/customentityrecognition
string projectName = TestEnvironment.RecognizeCustomEntitiesProjectName;
string deploymentName = TestEnvironment.RecognizeCustomEntitiesDeploymentName;
var recognizeCustomEntitiesAction = new RecognizeCustomEntitiesAction(projectName, deploymentName);
// prepare actions.
var actions = new TextAnalyticsActions()
{
RecognizeCustomEntitiesActions = new List <RecognizeCustomEntitiesAction>()
{
recognizeCustomEntitiesAction
}
};
// Start analysis process.
AnalyzeActionsOperation operation = client.StartAnalyzeActions(batchDocuments, actions);
// Wait for completion with manual polling.
TimeSpan pollingInterval = new TimeSpan(1000);
while (true)
{
Console.WriteLine($"Status: {operation.Status}");
operation.UpdateStatus();
if (operation.HasCompleted)
{
break;
}
Thread.Sleep(pollingInterval);
}
// View operation status.
Console.WriteLine($"AnalyzeActions operation has completed");
Console.WriteLine();
Console.WriteLine($"Created On : {operation.CreatedOn}");
Console.WriteLine($"Expires On : {operation.ExpiresOn}");
Console.WriteLine($"Id : {operation.Id}");
Console.WriteLine($"Status : {operation.Status}");
Console.WriteLine($"Last Modified: {operation.LastModified}");
Console.WriteLine();
// View operation results.
foreach (AnalyzeActionsResult documentsInPage in operation.GetValues())
{
IReadOnlyCollection <RecognizeCustomEntitiesActionResult> customEntitiesActionResults = documentsInPage.RecognizeCustomEntitiesResults;
foreach (RecognizeCustomEntitiesActionResult customEntitiesActionResult in customEntitiesActionResults)
{
Console.WriteLine($" Action name: {customEntitiesActionResult.ActionName}");
int docNumber = 1;
foreach (RecognizeEntitiesResult documentResults in customEntitiesActionResult.DocumentsResults)
{
Console.WriteLine($" Document #{docNumber++}");
Console.WriteLine($" Recognized the following {documentResults.Entities.Count} entities:");
foreach (CategorizedEntity entity in documentResults.Entities)
{
Console.WriteLine($" Entity: {entity.Text}");
Console.WriteLine($" Category: {entity.Category}");
Console.WriteLine($" Offset: {entity.Offset}");
Console.WriteLine($" Length: {entity.Length}");
Console.WriteLine($" ConfidenceScore: {entity.ConfidenceScore}");
Console.WriteLine($" SubCategory: {entity.SubCategory}");
}
Console.WriteLine("");
}
}
}
}
