using Azure.Messaging.EventHubs;

using Azure.Messaging.EventHubs.Consumer;

using Azure.Messaging.EventHubs.Processor;

using Azure.Storage.Blobs;

using Microsoft.ML;

using System;

using System.Text;

using System.Text.Json;

using System.Threading.Tasks;

namespace EventHubPredict

{

class Program

{

private const string EventHubConnectionString = "Event hub connection string";

private const string EventHubName = "mlneteh ";

private const string blobStorageConnectionString = "Blob storage connection string";

private const string blobContainerName = "events";

static async Task Main(string[] args)

{

string consumerGroup = EventHubConsumerClient.DefaultConsumerGroupName;

var storageClient = new BlobContainerClient(blobStorageConnectionString, blobContainerName);

var processor = new EventProcessorClient(storageClient, consumerGroup, EventHubConnectionString, EventHubName);

processor.ProcessEventAsync += ProcessEventHandler;

processor.ProcessErrorAsync += ProcessErrorHandler;

await processor.StartProcessingAsync();

await Task.Delay(TimeSpan.FromSeconds(5));

await processor.StopProcessingAsync();

}

private static Task ProcessErrorHandler(ProcessErrorEventArgs arg)

{

Console.WriteLine($"\tPartition '{ arg.PartitionId}': an unhandled exception was encountered.");

Console.WriteLine(arg.Exception.Message);

return Task.CompletedTask;

}

private static Task ProcessEventHandler(ProcessEventArgs arg)

{

var payload = Encoding.UTF8.GetString(arg.Data.Body.ToArray());

var data = JsonSerializer.Deserialize<HousingData>(payload);

var context = new MLContext();

var model = context.Model.Load("./Model/housing-model.zip", out DataViewSchema inputSchema);

var predictionEngine = context.Model.CreatePredictionEngine<HousingData, HousingPrediction>(model, inputSchema: inputSchema);

var prediction = predictionEngine.Predict(data);

Console.WriteLine($"Prediction is {prediction.PredictedHouseValue}");

return Task.CompletedTask;

}

}

}