Swarm Space – Payload Formatter Debugging

After Swarm Space – Uplink Payload Formatters revisited I wrote a couple of payload formatters and they were easy to get wrong and the Azure Application Insights error messages were unhelpful.

namespace PayloadFormatter // Additional namespace for shortening interface when usage in formatter code
{
    using System.Collections.Generic;

    using Newtonsoft.Json.Linq;

    public interface IFormatterUplink
    {
        public JObject Evaluate(IDictionary<string, string> properties, uint organisationId, uint deviceId, byte deviceType, ushort userApplicationId, JObject payloadJson, string payloadText, byte[] payloadBytes);
    }

    public interface IFormatterDownlink
    {
        public byte[] Evaluate(IDictionary<string, string> properties, uint organisationId, uint deviceId, byte deviceType, ushort userApplicationId, JObject payloadJson, string payloadText, byte[] payloadBytes);
    }
}

The definitions of the uplink & downlink payload formatter evaluator interfaces have been updated and shifted to a new project.

Visual Studio 2022 Solution with payloadformatter maintenance application

I built a console application to help with developing and debugging uplink or downlink formatters. The application has a number of command line parameters which specify the formatter to be used, UserApplicationId, OrganizationId, DeviceType etc.

public class CommandLineOptions
{
    [Option('d', "Direction", Required = true, HelpText = "Test Uplink or DownLink formatter")]
	public string Direction { get; set; }

    [Option('p', "filename", HelpText = "Uplink or Downlink Payload file name")]
    public string PayloadFilename { get; set; } = string.Empty;

    [Option('o', "OrganisationId", Required = true, HelpText = "Organisation unique identifier")]
    public uint OrganizationId { get; set; }

    [Option('i', "DeviceId", Required = true, HelpText = "Device unique identitifer")]
    public uint DeviceId { get; set; }

    [Option('t', "DeviceType", Required = true, HelpText = "Device type number")]
    public byte DeviceType { get; set; }

    [Option('u', "UserApplicationId", Required = true, HelpText = "User Application Id")]
    public ushort UserApplicationId { get; set; }

    [Option('h', "SwarmHiveReceivedAtUtc", HelpText = "Swarm Hive received at time UTC")]
    public DateTime? SwarmHiveReceivedAtUtc { get; set; }

    [Option('w', "UplinkWebHookReceivedAtUtc", HelpText = "Webhook received at time UTC")]
    public DateTime? UplinkWebHookReceivedAtUtc { get; set; }

    [Option('s', "Status", HelpText = "Uplink local file system file name")]
    public byte? Status { get; set; }

    [Option('c', "Client", HelpText = "Uplink local file system file name")]
    public string Client { get; set; } 
 }

The downlink formatter (similar approach for uplink) loads the sample file as an array of bytes, then tries to convert it to text, and finally to JSON. Then the formatter code is “compiled” and the executed with the file payload and command line parameters.

private static async Task DownlinkFormatterCore(CommandLineOptions options)
{
    Dictionary<string, string> properties = new Dictionary<string, string>();

    string formatterFolder = Path.Combine(Environment.CurrentDirectory, "downlink");
    Console.WriteLine($"Downlink- uplinkFormatterFolder: {formatterFolder}");

    string formatterFile = Path.Combine(formatterFolder, $"{options.UserApplicationId}.cs");
    Console.WriteLine($"Downlink- UserApplicationId: {options.UserApplicationId}");
    Console.WriteLine($"Downlink- Payload formatter file: {formatterFile}");

    PayloadFormatter.IFormatterDownlink evalulator;
    try
    {
        evalulator = CSScript.Evaluator.LoadFile<PayloadFormatter.IFormatterDownlink>(formatterFile);
     }
    catch (CSScriptLib.CompilerException cex)
    {
        Console.Write($"Loading or compiling file:{formatterFile} failed Exception:{cex}");
        return;
    }

    string payloadFilename = Path.Combine(formatterFolder, options.PayloadFilename);
    Console.WriteLine($"Downlink- payloadFilename:{payloadFilename}");
    byte[] uplinkBytes;

    try
    {
        uplinkBytes = File.ReadAllBytes(payloadFilename);
    }
    catch (DirectoryNotFoundException dex)
    {
        Console.WriteLine($"Uplink payload filename directory {formatterFolder} not found:{dex}");
        return;
    }
    catch (FileNotFoundException fnfex)
    {
        Console.WriteLine($"Uplink payload filename {payloadFilename} not found:{fnfex}");
        return;
    }
    catch (FormatException fex)
    {
        Console.WriteLine($"Uplink payload file invalid format {payloadFilename} not found:{fex}");
        return;
    }

    // See if payload can be converted to a string
    string uplinkText = string.Empty;
    try
    {
        uplinkText = Encoding.UTF8.GetString(uplinkBytes);
    }
    catch (FormatException fex)
    {
        Console.WriteLine("Encoding.UTF8.GetString failed:{0}", fex.Message);
    }

    // See if payload can be converted to JSON
    JObject uplinkJson;
    try
    {
        uplinkJson = JObject.Parse(uplinkText);
    }
    catch (JsonReaderException jrex)
    {
        Console.WriteLine("JObject.Parse failed Exception:{1}", jrex);

        uplinkJson = new JObject();
    }

    Console.WriteLine("Properties");
    foreach (var property in properties)
    {
        Console.WriteLine($"{property.Key}:{property.Value}");
    }

    // Transform the byte and optional text and JSON payload
    Byte[] payload;
    try
    {
        payload = evalulator.Evaluate(properties, options.OrganizationId, options.DeviceId, options.DeviceType, options.UserApplicationId, uplinkJson, uplinkText, uplinkBytes);
    }
    catch (Exception ex)
    {
        Console.WriteLine($"evalulatorUplink.Evaluate failed Exception:{ex}");
        return;
    }

    Console.WriteLine("Payload");
    Console.WriteLine(Convert.ToBase64String(payload));
}

The sample JSON payload is what would be sent by Azure IoT Central to a device to configure the fan speed

Azure IoT Central M138 Breakout device template with the Fan Status command selected
{
  "FanStatus": 2
}

If the downlink payload formatter is compiled and executes successfully the Base64 representation output is displayed

using System;
using System.Collections.Generic;
using Newtonsoft.Json.Linq;

public class FormatterDownlink : PayloadFormatter.IFormatterDownlink
{
    public byte[] Evaluate(IDictionary<string, string> properties, uint organisationId, uint deviceId, byte deviceType, ushort userApplicationId, JObject payloadJson, string payloadText, byte[] payloadBytes)
    {
        byte? status = payloadJson.Value<byte?>("FanStatus");

        if ( status.HasValue ) 
        { 
            return new byte[] { status.Value };
        }

        return new byte[]{};
    }
}

If the downlink payload formatter syntax is incorrect e.g. { status.Value ; }; an error message with the line and column is displayed.

using System;
using System.Collections.Generic;
using Newtonsoft.Json.Linq;

public class FormatterDownlink : PayloadFormatter.IFormatterDownlink
{
    public byte[] Evaluate(IDictionary<string, string> properties, uint organisationId, uint deviceId, byte deviceType, ushort userApplicationId, JObject payloadJson, string payloadText, byte[] payloadBytes)
    {
        byte? status = payloadJson.Value<byte?>("FanStatus");

        if ( status.HasValue ) 
        {
            return new byte[] { status.Value ; };
        }

        return new byte[]{};
    }
}

If the downlink payload formatter syntax is correct but execution fails (in the example code division by zero) an error message is displayed.

using System;
using System.Collections.Generic;
using Newtonsoft.Json.Linq;

public class FormatterDownlink : PayloadFormatter.IFormatterDownlink
{
    public byte[] Evaluate(IDictionary<string, string> properties, uint organisationId, uint deviceId, byte deviceType, ushort userApplicationId, JObject payloadJson, string payloadText, byte[] payloadBytes)
    {
        byte? status = payloadJson.Value<byte?>("FanStatus");

        if ( status.HasValue ) 
        {
            int divideByZero = 10;

            divideByZero = divideByZero / 0;

            return new byte[] { status.Value };
        }

        return new byte[]{};
    }
}

The PayloadFormatterMaintenanceApplication makes it significantly easier to develop formatters. Currently the payload formatters have to be manually uploaded to the application’s Azure Blob Storage for final testing.

Smartish Edge Camera – Azure IoT Tagged Image Upload Error

The SmartEdgeCameraAzureStorageService uploads images with “tags” so it is easier to search for images that may need reviewing. When I added the same tagging functionality to the SmartEdgeCameraAzureIoTService which uploads images to the Storage Account associated with my Azure IoT Hub it failed.

SmartEdgeCameraAzureIoTService error message
[16:39:30.66]fail: devMobile.IoT.MachineLearning.SmartEdgeCameraAzureIoTService.Worker[0]
      Camera image download, post processing, or telemetry failed
      Azure.RequestFailedException: This request is not authorized to perform this operation using this permission.
RequestId:7a1747db-e01e-0019-484c-5c0499000000
Time:2022-04-30T04:39:31.2050951Z
      Status: 403 (This request is not authorized to perform this operation using this permission.)
      ErrorCode: AuthorizationPermissionMismatch

      Content:
      <?xml version="1.0" encoding="utf-8"?><Error><Code>AuthorizationPermissionMismatch</Code><Message>This request is not authorized to perform this operation using this permission.
RequestId:7a1747db-e01e-0019-484c-5c0499000000
Time:2022-04-30T04:39:31.2050951Z</Message></Error>

      Headers:
      Server: Windows-Azure-Blob/1.0,Microsoft-HTTPAPI/2.0
      x-ms-request-id: 7a1747db-e01e-0019-484c-5c0499000000
      x-ms-client-request-id: d0e8eb36-9e01-4eac-a522-f84b9deafa32
      x-ms-version: 2021-04-10
      x-ms-error-code: AuthorizationPermissionMismatch
      Date: Sat, 30 Apr 2022 04:39:30 GMT
      Content-Length: 279
      Content-Type: application/xml

         at Azure.Storage.Blobs.BlockBlobRestClient.UploadAsync(Int64 contentLength, Stream body, Nullable`1 timeout, Byte[] transactionalContentMD5, String blobContentType, String blobContentEncoding, String blobContentLanguage, Byte[] blobContentMD5, String blobCacheControl, IDictionary`2 metadata, String leaseId, String blobContentDisposition, String encryptionKey, String encryptionKeySha256, Nullable`1 encryptionAlgorithm, String encryptionScope, Nullable`1 tier, Nullable`1 ifModifiedSince, Nullable`1 ifUnmodifiedSince, String ifMatch, String ifNoneMatch, String ifTags, String blobTagsString, Nullable`1 immutabilityPolicyExpiry, Nullable`1 immutabilityPolicyMode, Nullable`1 legalHold, CancellationToken cancellationToken)
         at Azure.Storage.Blobs.Specialized.BlockBlobClient.UploadInternal(Stream content, BlobHttpHeaders blobHttpHeaders, IDictionary`2 metadata, IDictionary`2 tags, BlobRequestConditions conditions, Nullable`1 accessTier, BlobImmutabilityPolicy immutabilityPolicy, Nullable`1 legalHold, IProgress`1 progressHandler, String operationName, Boolean async, CancellationToken cancellationToken)
         at Azure.Storage.Blobs.Specialized.BlockBlobClient.<>c__DisplayClass62_0.<<GetPartitionedUploaderBehaviors>b__0>d.MoveNext()
      --- End of stack trace from previous location ---
         at Azure.Storage.PartitionedUploader`2.UploadInternal(Stream content, Nullable`1 expectedContentLength, TServiceSpecificData args, IProgress`1 progressHandler, Boolean async, CancellationToken cancellationToken)
         at Azure.Storage.Blobs.Specialized.BlockBlobClient.UploadAsync(Stream content, BlobUploadOptions options, CancellationToken cancellationToken)
         at devMobile.IoT.MachineLearning.SmartEdgeCameraAzureIoTService.Worker.UploadImage(List`1 predictions, String filepath, String blobpath) in C:\Users\BrynLewis\source\repos\AzureMLNetSmartEdgeCamera\SmartEdgeCameraAzureIoTService\Worker.cs:line 581
         at devMobile.IoT.MachineLearning.SmartEdgeCameraAzureIoTService.Worker.UploadImage(List`1 predictions, String filepath, String blobpath) in C:\Users\BrynLewis\source\repos\AzureMLNetSmartEdgeCamera\SmartEdgeCameraAzureIoTService\Worker.cs:line 606
         at devMobile.IoT.MachineLearning.SmartEdgeCameraAzureIoTService.Worker.ImageUpdateTimerCallback(Object state) in C:\Users\BrynLewis\source\repos\AzureMLNetSmartEdgeCamera\SmartEdgeCameraAzureIoTService\Worker.cs:line 394
[16:39:30.72]info: devMobile.IoT.MachineLearning.SmartEdgeCameraAzureIoTService.Worker[0]

try
{
   FileUploadSasUriResponse sasUri = await _deviceClient.GetFileUploadSasUriAsync(fileUploadSasUriRequest);

	var blockBlobClient = new BlockBlobClient(sasUri.GetBlobUri());
   ...

   var blockBlobClient = new BlockBlobClient(uploadUri);

	BlobUploadOptions blobUploadOptions = new BlobUploadOptions()
	{
		Tags = new Dictionary<string, string>()
	};

	foreach (var prediction in predictionsTally)
	{
		blobUploadOptions.Tags.Add(prediction.Label, prediction.Count.ToString());
	}   
    await blockBlobClient.UploadAsync(fileStreamSource, blobUploadOptions);
   ...
}
catch (Exception ex)
{
   ...
}

There were no relevant search results(April 2022) so I submitted a Microsoft Azure IoT SDK for .NET issue “UploadAsync fails when Tags added to blob uploading to Storage Account associated with an IoT Hub” which has been triaged and moved to “discussion”.