public void AnalyzeHealthcareEntities_Cancellation()
{
string endpoint = TestEnvironment.Endpoint;
string apiKey = TestEnvironment.ApiKey;
var client = new TextAnalyticsClient(new Uri(endpoint), new AzureKeyCredential(apiKey));
string document = @"RECORD #333582770390100 | MH | 85986313 | | 054351 | 2/14/2001 12:00:00 AM | CORONARY ARTERY DISEASE | Signed | DIS | \
Admission Date: 5/22/2001 Report Status: Signed Discharge Date: 4/24/2001 ADMISSION DIAGNOSIS: CORONARY ARTERY DISEASE. \
HISTORY OF PRESENT ILLNESS: The patient is a 54-year-old gentleman with a history of progressive angina over the past several months. \
The patient had a cardiac catheterization in July of this year revealing total occlusion of the RCA and 50% left main disease ,\
with a strong family history of coronary artery disease with a brother dying at the age of 52 from a myocardial infarction and \
another brother who is status post coronary artery bypass grafting. The patient had a stress echocardiogram done on July , 2001 , \
which showed no wall motion abnormalities , but this was a difficult study due to body habitus. The patient went for six minutes with \
minimal ST depressions in the anterior lateral leads , thought due to fatigue and wrist pain , his anginal equivalent. Due to the patient's \
increased symptoms and family history and history left main disease with total occasional of his RCA was referred for revascularization with open heart surgery.";
var batchDocument = new List <string>();
for (var i = 0; i < 10; i++)
{
batchDocument.Add(document);
}
AnalyzeHealthcareEntitiesOperation healthOperation = client.StartAnalyzeHealthcareEntities(batchDocument, "en");
healthOperation.Cancel();
}
public async Task HealthcareBatchConvenience()
{
string endpoint = TestEnvironment.Endpoint;
string apiKey = TestEnvironment.ApiKey;
var client = new TextAnalyticsClient(new Uri(endpoint), new AzureKeyCredential(apiKey));
#region Snippet:TextAnalyticsSampleHealthcareBatchConvenience
string document1 = @"RECORD #333582770390100 | MH | 85986313 | | 054351 | 2/14/2001 12:00:00 AM | CORONARY ARTERY DISEASE | Signed | DIS | \
Admission Date: 5/22/2001 Report Status: Signed Discharge Date: 4/24/2001 ADMISSION DIAGNOSIS: CORONARY ARTERY DISEASE. \
HISTORY OF PRESENT ILLNESS: The patient is a 54-year-old gentleman with a history of progressive angina over the past several months. \
The patient had a cardiac catheterization in July of this year revealing total occlusion of the RCA and 50% left main disease ,\
with a strong family history of coronary artery disease with a brother dying at the age of 52 from a myocardial infarction and \
another brother who is status post coronary artery bypass grafting. The patient had a stress echocardiogram done on July , 2001 , \
which showed no wall motion abnormalities , but this was a difficult study due to body habitus. The patient went for six minutes with \
minimal ST depressions in the anterior lateral leads , thought due to fatigue and wrist pain , his anginal equivalent. Due to the patient's \
increased symptoms and family history and history left main disease with total occasional of his RCA was referred for revascularization with open heart surgery.";
string document2 = "Prescribed 100mg ibuprofen, taken twice daily.";
List <string> batchInput = new List <string>()
{
document1,
document2,
};
AnalyzeHealthcareEntitiesOperation healthOperation = client.StartAnalyzeHealthcareEntities(batchInput);
await healthOperation.WaitForCompletionAsync();
foreach (AnalyzeHealthcareEntitiesResultCollection documentsInPage in healthOperation.GetValues())
{
Console.WriteLine($"Results of Azure Text Analytics \"Healthcare\" Model, version: \"{documentsInPage.ModelVersion}\"");
Console.WriteLine("");
foreach (AnalyzeHealthcareEntitiesResult result in documentsInPage)
{
Console.WriteLine($" Recognized the following {result.Entities.Count} healthcare entities:");
foreach (HealthcareEntity entity in result.Entities)
{
Console.WriteLine($" Entity: {entity.Text}");
Console.WriteLine($" Category: {entity.Category}");
Console.WriteLine($" Offset: {entity.Offset}");
Console.WriteLine($" Length: {entity.Length}");
Console.WriteLine($" Links:");
foreach (EntityDataSource entityDataSource in entity.DataSources)
{
Console.WriteLine($" Entity ID in Data Source: {entityDataSource.EntityId}");
Console.WriteLine($" DataSource: {entityDataSource.Name}");
}
}
Console.WriteLine("");
}
}
}
public async Task GetValuesSample()
{
#region Snippet:PageableOperationGetValues
// create a client
var client = new TextAnalyticsClient(new Uri("http://example.com"), new DefaultAzureCredential());
var document = new List <string>()
{
"document with information"
};
// Start the operation
AnalyzeHealthcareEntitiesOperation healthOperation = client.StartAnalyzeHealthcareEntities(document);
await healthOperation.WaitForCompletionAsync();
foreach (AnalyzeHealthcareEntitiesResultCollection documentsInPage in healthOperation.GetValues())
{
foreach (HealthcareEntity entity in documentsInPage[0].Entities)
{
Console.WriteLine($" Entity: {entity.Text}");
}
}
#endregion
}
public async Task Sample7_AnalyzeHealthcareEntitiesBatchConvenience()
{
// create a text analytics client
string endpoint = TestEnvironment.Endpoint;
string apiKey = TestEnvironment.ApiKey;
var client = new TextAnalyticsClient(new Uri(endpoint), new AzureKeyCredential(apiKey));
#region Snippet:Sample7_AnalyzeHealthcareEntitiesBatchConvenience
// get input documents
string document1 = @"RECORD #333582770390100 | MH | 85986313 | | 054351 | 2/14/2001 12:00:00 AM | CORONARY ARTERY DISEASE | Signed | DIS | \
Admission Date: 5/22/2001 Report Status: Signed Discharge Date: 4/24/2001 ADMISSION DIAGNOSIS: CORONARY ARTERY DISEASE. \
HISTORY OF PRESENT ILLNESS: The patient is a 54-year-old gentleman with a history of progressive angina over the past several months. \
The patient had a cardiac catheterization in July of this year revealing total occlusion of the RCA and 50% left main disease ,\
with a strong family history of coronary artery disease with a brother dying at the age of 52 from a myocardial infarction and \
another brother who is status post coronary artery bypass grafting. The patient had a stress echocardiogram done on July , 2001 , \
which showed no wall motion abnormalities , but this was a difficult study due to body habitus. The patient went for six minutes with \
minimal ST depressions in the anterior lateral leads , thought due to fatigue and wrist pain , his anginal equivalent. Due to the patient's \
increased symptoms and family history and history left main disease with total occasional of his RCA was referred for revascularization with open heart surgery.";
string document2 = "Prescribed 100mg ibuprofen, taken twice daily.";
// prepare analyze operation input
List <string> batchInput = new List <string>()
{
document1,
document2,
string.Empty
};
var options = new AnalyzeHealthcareEntitiesOptions {
};
// start analysis process
AnalyzeHealthcareEntitiesOperation healthOperation = client.StartAnalyzeHealthcareEntities(batchInput, "en", options);
await healthOperation.WaitForCompletionAsync();
Console.WriteLine($"AnalyzeHealthcareEntities operation was completed");
// view operation status
Console.WriteLine($"Created On : {healthOperation.CreatedOn}");
Console.WriteLine($"Expires On : {healthOperation.ExpiresOn}");
Console.WriteLine($"Status : {healthOperation.Status}");
Console.WriteLine($"Last Modified: {healthOperation.LastModified}");
// view operation results
foreach (AnalyzeHealthcareEntitiesResultCollection documentsInPage in healthOperation.GetValues())
{
Console.WriteLine($"Results of Azure Text Analytics \"Healthcare\" Model, version: \"{documentsInPage.ModelVersion}\"");
Console.WriteLine("");
foreach (AnalyzeHealthcareEntitiesResult result in documentsInPage)
{
if (result.HasError)
{
Console.WriteLine(" Error!");
Console.WriteLine($" Document error code: {result.Error.ErrorCode}.");
Console.WriteLine($" Message: {result.Error.Message}");
}
else
{
Console.WriteLine($" Recognized the following {result.Entities.Count} healthcare entities:");
// view recognized healthcare entities
foreach (HealthcareEntity entity in result.Entities)
{
Console.WriteLine($" Entity: {entity.Text}");
Console.WriteLine($" Category: {entity.Category}");
Console.WriteLine($" Offset: {entity.Offset}");
Console.WriteLine($" Length: {entity.Length}");
Console.WriteLine($" NormalizedText: {entity.NormalizedText}");
Console.WriteLine($" Links:");
// view entity data sources
foreach (EntityDataSource entityDataSource in entity.DataSources)
{
Console.WriteLine($" Entity ID in Data Source: {entityDataSource.EntityId}");
Console.WriteLine($" DataSource: {entityDataSource.Name}");
}
// view assertion
if (entity.Assertion != null)
{
Console.WriteLine($" Assertions:");
if (entity.Assertion?.Association != null)
{
Console.WriteLine($" Association: {entity.Assertion?.Association}");
}
if (entity.Assertion?.Certainty != null)
{
Console.WriteLine($" Certainty: {entity.Assertion?.Certainty}");
}
if (entity.Assertion?.Conditionality != null)
{
Console.WriteLine($" Conditionality: {entity.Assertion?.Conditionality}");
}
}
Console.WriteLine($" We found {result.EntityRelations.Count} relations in the current document:");
Console.WriteLine("");
// view recognized healthcare relations
foreach (HealthcareEntityRelation relations in result.EntityRelations)
{
Console.WriteLine($" Relation: {relations.RelationType}");
Console.WriteLine($" For this relation there are {relations.Roles.Count} roles");
// view relation roles
foreach (HealthcareEntityRelationRole role in relations.Roles)
{
Console.WriteLine($" Role Name: {role.Name}");
Console.WriteLine($" Associated Entity Text: {role.Entity.Text}");
Console.WriteLine($" Associated Entity Category: {role.Entity.Category}");
Console.WriteLine("");
}
Console.WriteLine("");
}
}
Console.WriteLine("");
}
}
}
}
public void AnalyzeHealthcareEntities()
{
// create a text analytics client
string endpoint = TestEnvironment.Endpoint;
string apiKey = TestEnvironment.ApiKey;
var client = new TextAnalyticsClient(new Uri(endpoint), new AzureKeyCredential(apiKey), CreateSampleOptions());
// get input documents
string document1 = @"RECORD #333582770390100 | MH | 85986313 | | 054351 | 2/14/2001 12:00:00 AM | CORONARY ARTERY DISEASE | Signed | DIS | \
Admission Date: 5/22/2001 Report Status: Signed Discharge Date: 4/24/2001 ADMISSION DIAGNOSIS: CORONARY ARTERY DISEASE. \
HISTORY OF PRESENT ILLNESS: The patient is a 54-year-old gentleman with a history of progressive angina over the past several months. \
The patient had a cardiac catheterization in July of this year revealing total occlusion of the RCA and 50% left main disease ,\
with a strong family history of coronary artery disease with a brother dying at the age of 52 from a myocardial infarction and \
another brother who is status post coronary artery bypass grafting. The patient had a stress echocardiogram done on July , 2001 , \
which showed no wall motion abnormalities , but this was a difficult study due to body habitus. The patient went for six minutes with \
minimal ST depressions in the anterior lateral leads , thought due to fatigue and wrist pain , his anginal equivalent. Due to the patient's \
increased symptoms and family history and history left main disease with total occasional of his RCA was referred for revascularization with open heart surgery.";
string document2 = "Prescribed 100mg ibuprofen, taken twice daily.";
// prepare analyze operation input
List <TextDocumentInput> batchInput = new List <TextDocumentInput>()
{
new TextDocumentInput("1", document1)
{
Language = "en"
},
new TextDocumentInput("2", document2)
{
Language = "en"
},
};
AnalyzeHealthcareEntitiesOptions options = new AnalyzeHealthcareEntitiesOptions()
{
IncludeStatistics = true
};
// start analysis process
AnalyzeHealthcareEntitiesOperation healthOperation = client.StartAnalyzeHealthcareEntities(batchInput, options);
// wait for completion with manual polling
TimeSpan pollingInterval = new TimeSpan(1000);
while (true)
{
Console.WriteLine($"Status: {healthOperation.Status}");
healthOperation.UpdateStatus();
if (healthOperation.HasCompleted)
{
break;
}
Thread.Sleep(pollingInterval);
}
// view operation status
Console.WriteLine($"AnalyzeHealthcareEntities operation was completed");
Console.WriteLine($"Created On : {healthOperation.CreatedOn}");
Console.WriteLine($"Expires On : {healthOperation.ExpiresOn}");
Console.WriteLine($"Id : {healthOperation.Id}");
Console.WriteLine($"Status : {healthOperation.Status}");
Console.WriteLine($"Last Modified: {healthOperation.LastModified}");
// view operation results
foreach (AnalyzeHealthcareEntitiesResultCollection documentsInPage in healthOperation.GetValues())
{
Console.WriteLine($"Results of \"Healthcare\" Model, version: \"{documentsInPage.ModelVersion}\"");
Console.WriteLine("");
foreach (AnalyzeHealthcareEntitiesResult result in documentsInPage)
{
Console.WriteLine($" Recognized the following {result.Entities.Count} healthcare entities:");
// view recognized healthcare entities
foreach (HealthcareEntity entity in result.Entities)
{
Console.WriteLine($" Entity: {entity.Text}");
Console.WriteLine($" Category: {entity.Category}");
Console.WriteLine($" Offset: {entity.Offset}");
Console.WriteLine($" Length: {entity.Length}");
Console.WriteLine($" NormalizedText: {entity.NormalizedText}");
Console.WriteLine($" Links:");
// view entity data sources
foreach (EntityDataSource entityDataSource in entity.DataSources)
{
Console.WriteLine($" Entity ID in Data Source: {entityDataSource.EntityId}");
Console.WriteLine($" DataSource: {entityDataSource.Name}");
}
// view assertion
if (entity.Assertion != null)
{
Console.WriteLine($" Assertions:");
if (entity.Assertion?.Association != null)
{
Console.WriteLine($" Association: {entity.Assertion?.Association}");
}
if (entity.Assertion?.Certainty != null)
{
Console.WriteLine($" Certainty: {entity.Assertion?.Certainty}");
}
if (entity.Assertion?.Conditionality != null)
{
Console.WriteLine($" Conditionality: {entity.Assertion?.Conditionality}");
}
}
}
Console.WriteLine($" We found {result.EntityRelations.Count} relations in the current document:");
Console.WriteLine("");
// view recognized healthcare relations
foreach (HealthcareEntityRelation relations in result.EntityRelations)
{
Console.WriteLine($" Relation: {relations.RelationType}");
Console.WriteLine($" For this relation there are {relations.Roles.Count} roles");
// view relation roles
foreach (HealthcareEntityRelationRole role in relations.Roles)
{
Console.WriteLine($" Role Name: {role.Name}");
Console.WriteLine($" Associated Entity Text: {role.Entity.Text}");
Console.WriteLine($" Associated Entity Category: {role.Entity.Category}");
Console.WriteLine("");
}
Console.WriteLine("");
}
// current document statistics
Console.WriteLine($" Document statistics:");
Console.WriteLine($" Character count (in Unicode graphemes): {result.Statistics.CharacterCount}");
Console.WriteLine($" Transaction count: {result.Statistics.TransactionCount}");
Console.WriteLine("");
}
// view statistics about documents in current page
Console.WriteLine($"Request statistics:");
Console.WriteLine($" Document Count: {documentsInPage.Statistics.DocumentCount}");
Console.WriteLine($" Valid Document Count: {documentsInPage.Statistics.ValidDocumentCount}");
Console.WriteLine($" Transaction Count: {documentsInPage.Statistics.TransactionCount}");
Console.WriteLine($" Invalid Document Count: {documentsInPage.Statistics.InvalidDocumentCount}");
}
}
public static async Task RunAsync([EventGridTrigger] EventGridEvent eventGridEvent, ILogger log)
{
//Extracting content type and url of the blob triggering the function
var jsondata = JsonConvert.SerializeObject(eventGridEvent.Data);
var tmp = new { contentType = "", url = "" };
var data = JsonConvert.DeserializeAnonymousType(jsondata, tmp);
//Checking if the trigger was iniatiated for a WAV File.
if (data.contentType == "audio/wav")
{
var audioUrl = data.url;
string blobName = audioUrl.Split('/').Last();
string contosoStorageConnectionString = System.Environment.GetEnvironmentVariable("ContosoStorageConnectionString", EnvironmentVariableTarget.Process);
string speechRegion = System.Environment.GetEnvironmentVariable("SpeechRegion", EnvironmentVariableTarget.Process);
string speechKey = System.Environment.GetEnvironmentVariable("SpeechKey", EnvironmentVariableTarget.Process);
string translatorKey = System.Environment.GetEnvironmentVariable("TranslatorKey", EnvironmentVariableTarget.Process);
string translatorEndpoint = System.Environment.GetEnvironmentVariable("TranslatorEndpoint", EnvironmentVariableTarget.Process);
string translatorLocation = System.Environment.GetEnvironmentVariable("TranslatorLocation", EnvironmentVariableTarget.Process);
string cosmosEndpointUrl = System.Environment.GetEnvironmentVariable("CosmosDBEndpointUrl", EnvironmentVariableTarget.Process);
string cosmosPrimaryKey = System.Environment.GetEnvironmentVariable("CosmosDBPrimaryKey", EnvironmentVariableTarget.Process);
string textAnalyticsKey = System.Environment.GetEnvironmentVariable("TextAnalyticsKey", EnvironmentVariableTarget.Process);
string textAnalyticsEndpoint = System.Environment.GetEnvironmentVariable("TextAnalyticsEndpoint", EnvironmentVariableTarget.Process);
// Download audio file to a local temp directory
var tempPath = System.IO.Path.GetTempFileName();
BlobContainerClient container = new BlobContainerClient(contosoStorageConnectionString, "audiorecordings");
BlobClient blob = container.GetBlobClient(blobName);
await blob.DownloadToAsync(tempPath);
var speechConfig = SpeechConfig.FromSubscription(speechKey, speechRegion);
speechConfig.SetProperty(PropertyId.SpeechServiceConnection_SingleLanguageIdPriority, "Latency");
// Audio Language Identification
// Considering only two languages: English and Spanish
// Languages supported for language detection : https://docs.microsoft.com/azure/cognitive-services/speech-service/language-support
var autoDetectSourceLanguageConfig = AutoDetectSourceLanguageConfig.FromLanguages(new string[] { "en-US", "es-MX" });
string languageDetected = "en-US";
using (var audioInput = AudioConfig.FromWavFileInput(tempPath))
{
using (var recognizer = new SourceLanguageRecognizer(speechConfig, autoDetectSourceLanguageConfig, audioInput))
{
var result = await recognizer.RecognizeOnceAsync().ConfigureAwait(false);
if (result.Reason == ResultReason.RecognizedSpeech)
{
var lidResult = AutoDetectSourceLanguageResult.FromResult(result);
languageDetected = lidResult.Language;
}
}
}
speechConfig.SpeechRecognitionLanguage = languageDetected;
// Audio Transcription
StringBuilder sb = new StringBuilder();
using var audioConfig = AudioConfig.FromWavFileInput(tempPath);
{
using var recognizer = new SpeechRecognizer(speechConfig, audioConfig);
{
var stopRecognition = new TaskCompletionSource <int>();
recognizer.SessionStopped += (s, e) =>
{
stopRecognition.TrySetResult(0);
};
recognizer.Canceled += (s, e) =>
{
stopRecognition.TrySetResult(0);
};
recognizer.Recognized += (s, e) =>
{
if (e.Result.Reason == ResultReason.RecognizedSpeech)
{
sb.Append(e.Result.Text);
}
else if (e.Result.Reason == ResultReason.NoMatch)
{
log.LogInformation($"NOMATCH: Speech could not be recognized.");
}
};
await recognizer.StartContinuousRecognitionAsync();
Task.WaitAny(new[] { stopRecognition.Task });
}
}
string transcribedText = sb.ToString();
// If transcription is in Spanish we will translate it to English
if (!languageDetected.Contains("en"))
{
string route = $"/translate?api-version=3.0&to=en";
string textToTranslate = sb.ToString();
object[] body = new object[] { new { Text = textToTranslate } };
var requestBody = JsonConvert.SerializeObject(body);
using (var client = new HttpClient())
using (var request = new HttpRequestMessage())
{
request.Method = HttpMethod.Post;
request.RequestUri = new Uri(translatorEndpoint + route);
request.Content = new StringContent(requestBody, Encoding.UTF8, "application/json");
request.Headers.Add("Ocp-Apim-Subscription-Key", translatorKey);
request.Headers.Add("Ocp-Apim-Subscription-Region", translatorLocation);
HttpResponseMessage response = await client.SendAsync(request).ConfigureAwait(false);
var responseBody = await response.Content.ReadAsStringAsync();
List <Model.TranslatorService.Root> translatedDocuments = JsonConvert.DeserializeObject <List <Model.TranslatorService.Root> >(responseBody);
transcribedText = translatedDocuments.FirstOrDefault().Translations.FirstOrDefault().Text;
}
}
//Azure Text Analytics for Healthcare
List <string> healthDocuments = new List <string>
{
transcribedText
};
var textAnalyticsClient = new TextAnalyticsClient(new Uri(textAnalyticsEndpoint), new AzureKeyCredential(textAnalyticsKey));
AnalyzeHealthcareEntitiesOperation healthOperation = textAnalyticsClient.StartAnalyzeHealthcareEntities(healthDocuments, "en", new AnalyzeHealthcareEntitiesOptions {
});
await healthOperation.WaitForCompletionAsync();
AnalyzeHealthcareEntitiesResult healthcareResult = healthOperation.GetValues().FirstOrDefault().FirstOrDefault();
//Insert documents into CosmosDB
var cosmosClient = new CosmosClient(cosmosEndpointUrl, cosmosPrimaryKey);
var cosmosDatabase = (await cosmosClient.CreateDatabaseIfNotExistsAsync("Contoso")).Database;
var cosmosContainer = (await cosmosDatabase.CreateContainerIfNotExistsAsync("Transcriptions", "/id")).Container;
Model.Transcription newTranscription = new Model.Transcription();
newTranscription.Id = Guid.NewGuid().ToString();
newTranscription.DocumentDate = new DateTime(int.Parse(blobName.Substring(0, 4)),
int.Parse(blobName.Substring(4, 2)), int.Parse(blobName.Substring(6, 2)));
newTranscription.FileName = blobName;
newTranscription.TranscribedText = transcribedText;
foreach (var item in healthcareResult.Entities)
{
newTranscription.HealthcareEntities.Add(new Model.HealthcareEntity()
{
Category = item.Category, Text = item.Text
});
}
try
{
ItemResponse <Model.Transcription> cosmosResponse = await
cosmosContainer.CreateItemAsync(newTranscription, new PartitionKey(newTranscription.Id));
}
catch (CosmosException ex) when(ex.StatusCode == System.Net.HttpStatusCode.Conflict)
{
//Conflicting documents are silently ignored for demo purposes.
}
System.IO.File.Delete(tempPath);
log.LogInformation(eventGridEvent.Data.ToString());
}
}
