TTI V3 Connector Minimalist Device to Cloud(D2C)

After pausing my Azure Storage Queued based approach I built a quick Proof of Concept(PoC) with an HTTPTrigger Azure Function. The application has a single endpoint for processing uplink messages which is called by a The Things Industries(TTI) Webhooks integration.

The Things Industries Application Webhook configuration
namespace devMobile.IoT.TheThingsIndustries.AzureIoTHub
{
	using System.Collections.Concurrent;
	using Microsoft.Azure.Devices.Client;
...

	public partial class Integration
	{
...
		private static readonly ConcurrentDictionary<string, DeviceClient> _DeviceClients = new ConcurrentDictionary<string, DeviceClient>();
...
	}
}

The connector uses a ConcurrentDictionary(indexed by TTI deviceID) to cache Azure IoT Hub DeviceClient instances.

public partial class Webhooks
{
	[Function("Uplink")]
	public async Task<HttpResponseData> Uplink([HttpTrigger(AuthorizationLevel.Function, "post")] HttpRequestData req, FunctionContext executionContext)
	{
		var logger = executionContext.GetLogger("Uplink");

		// Wrap all the processing in a try\catch so if anything blows up we have logged it. Will need to specialise for connectivity failues etc.
		try
		{
			Models.PayloadUplink payload = JsonConvert.DeserializeObject<Models.PayloadUplink>(await req.ReadAsStringAsync());
			if (payload == null)
			{
				logger.LogInformation("Uplink: Payload {0} invalid", await req.ReadAsStringAsync());

				return req.CreateResponse(HttpStatusCode.BadRequest);
			}

			string applicationId = payload.EndDeviceIds.ApplicationIds.ApplicationId;
			string deviceId = payload.EndDeviceIds.DeviceId;

			if ((payload.UplinkMessage.Port == null ) || (!payload.UplinkMessage.Port.HasValue) || (payload.UplinkMessage.Port.Value == 0))
			{
				logger.LogInformation("Uplink-ApplicationID:{0} DeviceID:{1} Payload Raw:{2} Control nessage", applicationId, deviceId, payload.UplinkMessage.PayloadRaw);

				return req.CreateResponse(HttpStatusCode.BadRequest);
			}

			int port = payload.UplinkMessage.Port.Value;

			logger.LogInformation("Uplink-ApplicationID:{0} DeviceID:{1} Port:{2} Payload Raw:{3}", applicationId, deviceId, port, payload.UplinkMessage.PayloadRaw);

			if (!_DeviceClients.TryGetValue(deviceId, out DeviceClient deviceClient))
			{
				logger.LogInformation("Uplink-Unknown device for ApplicationID:{0} DeviceID:{1}", applicationId, deviceId);

				deviceClient = DeviceClient.CreateFromConnectionString(_configuration.GetConnectionString("AzureIoTHub"), deviceId);

				try
				{
					await deviceClient.OpenAsync();
				}
				catch (DeviceNotFoundException)
				{
					logger.LogWarning("Uplink-Unknown DeviceID:{0}", deviceId);

					return req.CreateResponse(HttpStatusCode.NotFound);
				}

				if (!_DeviceClients.TryAdd(deviceId, deviceClient))
				{
					logger.LogWarning("Uplink-TryAdd failed for ApplicationID:{0} DeviceID:{1}", applicationId, deviceId);

					return req.CreateResponse(HttpStatusCode.Conflict);
				}
			}

			JObject telemetryEvent = new JObject
			{
				{ "ApplicationID", applicationId },
				{ "DeviceID", deviceId },
				{ "Port", port },
				{ "PayloadRaw", payload.UplinkMessage.PayloadRaw }
			};

			// If the payload has been decoded by payload formatter, put it in the message body.
			if (payload.UplinkMessage.PayloadDecoded != null)
			{
				telemetryEvent.Add("PayloadDecoded", payload.UplinkMessage.PayloadDecoded);
			}

			// Send the message to Azure IoT Hub
			using (Message ioTHubmessage = new Message(Encoding.ASCII.GetBytes(JsonConvert.SerializeObject(telemetryEvent))))
			{
				// Ensure the displayed time is the acquired time rather than the uploaded time. 
				ioTHubmessage.Properties.Add("iothub-creation-time-utc", payload.UplinkMessage.ReceivedAtUtc.ToString("s", CultureInfo.InvariantCulture));
				ioTHubmessage.Properties.Add("ApplicationId", applicationId);
				ioTHubmessage.Properties.Add("DeviceEUI", payload.EndDeviceIds.DeviceEui);
				ioTHubmessage.Properties.Add("DeviceId", deviceId);
				ioTHubmessage.Properties.Add("port", port.ToString());

				await deviceClient.SendEventAsync(ioTHubmessage);
			}
		}
		catch (Exception ex)
		{
			logger.LogError(ex, "Uplink message processing failed");

			return req.CreateResponse(HttpStatusCode.InternalServerError);
		}

		return req.CreateResponse(HttpStatusCode.OK);
	}
}

For initial development and testing I ran the function application in the desktop emulator and simulated TTI webhook calls with Telerik Fiddler and modified TTI sample payloads.

Azure Functions Desktop development environment

I then deployed my function to Azure and configured the Azure IoT Hub connection string, Azure Application Insights key etc.

Azure Function configuration

I then used Azure IoT Explorer to configure devices, view uplink traffic etc. When I connected to my Azure IoT Hub shortly after starting the application all the devices were disconnected.

Azure IoT Explorer – no connected devices

The SeeeduinoLoRaWAN devices report roughly every 15 minutes so it took a while for them all to connect. (the SeeeduinoLoRaWAN4 & SeeeduinoLoRaWAN6 need to be repaired) .

Azure IoT Explorer – some connected devices

After a device had connected I could use Azure IoT Explorer to inspect the Seeeduino LoRaWAN device uplink message payloads.

Azure IoT Explorer displaying device telemetry

I also used Azure Application Insights to monitor the performance of the function and device activity.

Azure Application Insights displaying device telemetry

The Azure functions uplink message processor was then “soak tested” for a week without an issues.

TTI V3 Connector Azure Storage Queues Paused

After running my The Things Industries(TTI) V3 HTTPStorageQueueOutput application for a week I think there are some problems with my approach so I have paused development while I build another HTTPTrigger Azure Functions based Proof of Concept(PoC).

The HTTPTrigger and Azure Storage Queue OutputBinding based code which inserts messages into an Azure Storage Queue was minimal

[StorageAccount("AzureWebJobsStorage")]
public static class Webhooks
{
	[Function("Uplink")]
	public static async Task<HttpTriggerUplinkOutputBindingType> Uplink([HttpTrigger(AuthorizationLevel.Function, "post")] HttpRequestData req, FunctionContext context)
	{
		var logger = context.GetLogger("UplinkMessage");

		logger.LogInformation("Uplink processed");
			
		var response = req.CreateResponse(HttpStatusCode.OK);

		return new HttpTriggerUplinkOutputBindingType()
		{
			Name = await req.ReadAsStringAsync(),
			HttpReponse = response
		};
	}
}

With Azure Storage Explorer I could inspect uplink, queued, sent, and acknowledgment(ACK) messages. It was difficult to generate failed and Negative Acknowledgement (Nack) and failed messages

Azure Storage Explorer displaying Uplink messages
Azure Storage Explorer displaying queued messages
Azure Storage Explorer displaying sent messages
Azure Storage Explorer Displaying Ack messages

After some experimentation I realised that I had forgotten that the order of message processing was important e.g. a TTI Queued message should be processed before the associated Ack. This could (and did happen) because I had a queue for each message type and in addition the Azure Queue Storage trigger binding would use parallel execution to process backlogs of messages. My approach caused issues with both intra and inter queue message ordering

TTI V3 Connector Azure Storage Queues

The first Proof of Concept(PoC) for my updated The Things Industries(TTI) V3 Webhooks Integration was to explore the use of Azure Functions to securely ingest webhook calls. The aim was to have uplink and downlink message progress message payloads written to Azure Storage Queues with output bindings ready for processing.

namespace devMobile.IoT.TheThingsIndustries.HttpInputStorageQueueOutput
{
	using System.Net;
	using System.Threading.Tasks;

	using Microsoft.Azure.Functions.Worker;
	using Microsoft.Azure.Functions.Worker.Http;
	using Microsoft.Azure.WebJobs;
	using Microsoft.Extensions.Logging;


	[StorageAccount("AzureWebJobsStorage")]
	public static class Webhooks
	{
		[Function("Uplink")]
		public static async Task<HttpTriggerUplinkOutputBindingType> Uplink([HttpTrigger(AuthorizationLevel.Function, "post")] HttpRequestData req, FunctionContext context)
		{
			var logger = context.GetLogger("UplinkMessage");

			logger.LogInformation("Uplink processed");
			
			var response = req.CreateResponse(HttpStatusCode.OK);

			return new HttpTriggerUplinkOutputBindingType()
			{
				Name = await req.ReadAsStringAsync(),
				HttpReponse = response
			};
		}

		public class HttpTriggerUplinkOutputBindingType
		{
			[QueueOutput("uplink")]
			public string Name { get; set; }

			public HttpResponseData HttpReponse { get; set; }
		}

...

		[Function("Failed")]
		public static async Task<HttpTriggerFailedOutputBindingType> Failed([HttpTrigger(AuthorizationLevel.Function, "post")] HttpRequestData req, FunctionContext context)
		{
			var logger = context.GetLogger("Failed");

			logger.LogInformation("Failed procssed");

			var response = req.CreateResponse(HttpStatusCode.OK);

			return new HttpTriggerFailedOutputBindingType()
			{
				Name = await req.ReadAsStringAsync(),
				HttpReponse = response
			};
		}

		public class HttpTriggerFailedOutputBindingType
		{
			[QueueOutput("failed")]
			public string Name { get; set; }

			public HttpResponseData HttpReponse { get; set; }
		}
	}
}

After some initial problems with the use of Azure Storage Queue output bindings to insert messages into the ack, nak, failed, queued, and uplink Azure Storage Queues I found it didn’t take much code and worked reliably on my desktop.

Azure Functions Desktop Development environment running my functions

I used Telerik Fiddler with some sample payloads to test my application.

Telerik Fiddler Request Composer “posting” sample message to desktop endpoint

Once the functions were running reliably on my desktop, I created an Azure Service Plan, deployed the code, then generated an API Key for securing my HTTPTrigger endpoints.

Azure Functions Host Key configuration dialog

I then added a TTI Webhook Integration to my TTI SeeduinoLoRaWAN application, manually configured the endpoint, enabled the different messages I wanted to process and set the x-functions-key header.

TTI Application Webhook configuration

After a short delay I could see messages in the message uplink queue with Azure Storage Explorer

Azure Storage Explorer displaying content of my uplink queue

Building a new version of my TTIV3 Azure IoT connector is a useful learning exercise but I’m still deciding whether is it worth the effort as TTI has one now?

TTN V3 Connector Revisited

Earlier in the year I built Things Network(TTN) V2 and V3 connectors and after using these in production applications I have learnt a lot about what I had got wrong, less wrong and what I had got right.

Using a TTN V3 MQTT Application integration wasn’t a great idea. The management of state was very complex. The storage of application keys in a app.settings file made configuration easy but was bad for security.

The use of Azure Key Vault in the TTNV2 connector was a good approach, but the process of creation and updating of the settings needs to be easier.

Using TTN device registry as the “single source of truth” was a good decision as managing the amount of LoRaWAN network, application and device specific configuration in an Azure IoT Hub would be non-trivial.

Using a Webhooks Application Integration like the TTNV2 connector is my preferred approach.

The TTNV2 Connector’s use of Azure Storage Queues was a good idea as they it provide an elastic buffer between the different parts of the application.

The use of Azure Functions to securely ingest webhook calls and write them to Azure Storage Queues with output bindingts should simplify configuration and deployment. The use of Azure Storage Queue input bindings to process messages is the preferred approach.

The TTN V3 processing of JSON uplink messages into a structure that Azure IoT Central could ingest is a required feature

The TTN V2 and V3 support for the Azure Device Provisioning Service(DPS) is a required feature (mandated by Azure IoT Central). The TTN V3 connector support for DTDLV2 is a desirable feature. The DPS implementation worked with Azure IoT Central but I was unable to get the DeviceClient based version working.

Using DPS to pre-provision devices in Azure IoT Hubs and Azure IoT Central by using the TTN Application Registry API then enumerating the TTN applications, then devices needs to be revisited as it was initially slow then became quite complex.

The support for Azure IoT Hub connection strings was a useful feature, but added some complexity. This plus basic Azure IoT Hub DPS support(No Azure IoT Central support) could be implemented in a standalone application which connects via Azure Storage Queue messages.

The processing of Azure IoT Central Basic, and Request commands then translating the payloads so they work with TTN V3 is a required feature. The management of Azure IoT Hub command delivery confirmations (abandon, complete and Reject) is a required feature.

I’m considering building a new TTN V3 connector but is it worth the effort as TTN has one now?

nanoFramework Seeed LoRa-E5 on Github

The source code of my nanoFramework C# Seeed LoRa-E5 library is live on GitHub. My initial test rig was based on an STM32F691DISCOVERY board which has an Arduino Uno R3 format socket for a Grove Base Shield V2.0. I then connected it to my LoRa-E5 Development Kit with a Grove – Universal 4 Pin 20cm Unbuckled Cable(TX/RX reversed)

STM32F769I test rig with Seeedstudio Grove Base shield V2 and LoRa-E5 Development Kit

So far the demo application has been running for a couple of weeks

The thread '<No Name>' (0x2) has exited with code 0 (0x0).
devMobile.IoT.SeeedE5LoRaWANDeviceClient starting
12:00:01 Join start Timeout:25 Seconds
12:00:07 Join finish
12:00:07 Send Timeout:10 Seconds payload BCD:010203040506070809
12:00:13 Sleep
12:05:13 Wakeup
12:05:13 Send Timeout:10 Seconds payload BCD:010203040506070809
12:05:20 Sleep
12:10:20 Wakeup
12:10:20 Send Timeout:10 Seconds payload BCD:010203040506070809
12:10:27 Sleep
12:15:27 Wakeup
12:15:27 Send Timeout:10 Seconds payload BCD:010203040506070809
12:15:34 Sleep
...
11:52:40 Wakeup
11:52:40 Send Timeout:10 Seconds payload BCD:010203040506070809
11:52:45 Sleep
11:57:45 Wakeup
11:57:45 Send Timeout:10 Seconds payload BCD:010203040506070809
11:57:52 Sleep
12:02:52 Wakeup
12:02:52 Send Timeout:10 Seconds payload BCD:010203040506070809
12:02:59 Sleep
12:07:59 Wakeup
12:07:59 Send Timeout:10 Seconds payload BCD:010203040506070809
12:08:07 Sleep
12:13:07 Wakeup
12:13:07 Send Timeout:10 Seconds payload BCD:010203040506070809
12:13:14 Sleep

I have tested the Over The Air Activation(OTAA) code and will work on testing the other functionality over the coming week,

public static void Main()
{
   Result result;

   Debug.WriteLine("devMobile.IoT.SeeedE5LoRaWANDeviceClient starting");

   try
   {
      using (SeeedE5LoRaWANDevice device = new SeeedE5LoRaWANDevice())
      {
         result = device.Initialise(SerialPortId, 9600, UartParity.None, 8, UartStopBitCount.One);
         if (result != Result.Success)
         {
            Debug.WriteLine($"Initialise failed {result}");
            return;
         }

#if CONFIRMED
         device.OnMessageConfirmation += OnMessageConfirmationHandler;
#endif
         device.OnReceiveMessage += OnReceiveMessageHandler;

#if RESET
         Debug.WriteLine($"{DateTime.UtcNow:hh:mm:ss} Reset");
         result = device.Reset();
         if (result != Result.Success)
         {
            Debug.WriteLine($"Reset failed {result}");
            return;
          }
#endif

         Debug.WriteLine($"{DateTime.UtcNow:hh:mm:ss} Region {Region}");
         result = device.Region(Region);
         if (result != Result.Success)
         {
            Debug.WriteLine($"Region failed {result}");
            return;
         }

         Debug.WriteLine($"{DateTime.UtcNow:hh:mm:ss} ADR On");
         result = device.AdrOn();
         if (result != Result.Success)
         {
            Debug.WriteLine($"ADR on failed {result}");
            return;
         }

               Debug.WriteLine($"{DateTime.UtcNow:hh:mm:ss} Port");
               result = device.Port(MessagePort);
               if (result != Result.Success)
               {
                  Debug.WriteLine($"Port on failed {result}");
                  return;
               }

#if OTAA
               Debug.WriteLine($"{DateTime.UtcNow:hh:mm:ss} OTAA");
               result = device.OtaaInitialise(Config.AppEui, Config.AppKey);
               if (result != Result.Success)
               {
                  Debug.WriteLine($"OTAA Initialise failed {result}");
                  return;
               }
#endif

#if ABP
               Debug.WriteLine($"{DateTime.UtcNow:hh:mm:ss} ABP");
               result = device.AbpInitialise(DevAddress, NwksKey, AppsKey);
               if (result != Result.Success)
               {
                  Debug.WriteLine($"ABP Initialise failed {result}");
                  return;
               }
#endif

               Debug.WriteLine($"{DateTime.UtcNow:hh:mm:ss} Join start Timeout:{JoinTimeOut.TotalSeconds} Seconds");
               result = device.Join(true, JoinTimeOut);
               if (result != Result.Success)
               {
                  Debug.WriteLine($"Join failed {result}");
                  return;
               }
               Debug.WriteLine($"{DateTime.UtcNow:hh:mm:ss} Join finish");

               while (true)
               {
#if PAYLOAD_BCD
                  Debug.WriteLine($"{DateTime.UtcNow:hh:mm:ss} Send Timeout:{SendTimeout.TotalSeconds} Seconds payload BCD:{PayloadBcd}");
#if CONFIRMED
                  result = device.Send(PayloadBcd, true, SendTimeout);
#else
                  result = device.Send(PayloadBcd, false, SendTimeout);
#endif
#endif

#if PAYLOAD_BYTES
                  Debug.WriteLine($"{DateTime.UtcNow:hh:mm:ss} Send Timeout:{SendTimeout.TotalSeconds} Seconds payload Bytes:{BitConverter.ToString(PayloadBytes)}");
#if CONFIRMED
                  result = device.Send(PayloadBytes, true, SendTimeout);
#else
                  result = device.Send(PayloadBytes, false, SendTimeout);
#endif
#endif
                  if (result != Result.Success)
                  {
                     Debug.WriteLine($"Send failed {result}");
                  }

                  Debug.WriteLine($"{DateTime.UtcNow:hh:mm:ss} Sleep");
                  result = device.Sleep();
                  if (result != Result.Success)
                  {
                     Debug.WriteLine($"Sleep failed {result}");
                     return;
                  }

                  Thread.Sleep(300000);

                  Debug.WriteLine($"{DateTime.UtcNow:hh:mm:ss} Wakeup");
                  result = device.Wakeup();
                  if (result != Result.Success)
                  {
                     Debug.WriteLine($"Wakeup failed {result}");
                     return;
                  }
               }
            }
         }
         catch (Exception ex)
         {
            Debug.WriteLine(ex.Message);
         }
      }

The Region, ADR and OtaaInitialise methods only need to be called when the device is first powered up and after a reset.

The library works but should be treated as late beta.

TinyCLR OS V2 Seeed LoRa-E5 on Github

The source code of my GHI Electronics TinyCLR-0SV2RC1 Seeed LoRa-E5 library is live on GitHub. The initial test harness uses a Fezduinoand a LoRa-E5 Development Kit.

Fezduino device with Seeedstudio Grove base shield and LoRa-E5 development Kit

So far the demo application has been running for 24 hours

The thread '<No Name>' (0x2) has exited with code 0 (0x0).
devMobile.IoT.SeeedE5LoRaWANDeviceClient starting
12:00:01 Join start Timeout:25 Seconds
12:00:07 Join finish
12:00:07 Send Timeout:10 Seconds payload BCD:010203040506070809
12:00:13 Sleep
12:05:13 Wakeup
12:05:13 Send Timeout:10 Seconds payload BCD:010203040506070809
12:05:20 Sleep
12:10:20 Wakeup
12:10:20 Send Timeout:10 Seconds payload BCD:010203040506070809
12:10:27 Sleep
12:15:27 Wakeup
12:15:27 Send Timeout:10 Seconds payload BCD:010203040506070809
12:15:34 Sleep
...
11:52:40 Wakeup
11:52:40 Send Timeout:10 Seconds payload BCD:010203040506070809
11:52:45 Sleep
11:57:45 Wakeup
11:57:45 Send Timeout:10 Seconds payload BCD:010203040506070809
11:57:52 Sleep
12:02:52 Wakeup
12:02:52 Send Timeout:10 Seconds payload BCD:010203040506070809
12:02:59 Sleep
12:07:59 Wakeup
12:07:59 Send Timeout:10 Seconds payload BCD:010203040506070809
12:08:07 Sleep
12:13:07 Wakeup
12:13:07 Send Timeout:10 Seconds payload BCD:010203040506070809
12:13:14 Sleep

I have tested the Over The Air Activation(OTAA) code and will work on testing the other functionality over the coming week,

public static void Main()
{
   Result result;

   Debug.WriteLine("devMobile.IoT.SeeedE5LoRaWANDeviceClient starting");

   try
   {
      using (SeeedE5LoRaWANDevice device = new SeeedE5LoRaWANDevice())
      {
         result = device.Initialise(SerialPortId, 9600, UartParity.None, 8, UartStopBitCount.One);
         if (result != Result.Success)
         {
            Debug.WriteLine($"Initialise failed {result}");
            return;
         }

#if CONFIRMED
         device.OnMessageConfirmation += OnMessageConfirmationHandler;
#endif
         device.OnReceiveMessage += OnReceiveMessageHandler;

#if RESET
         Debug.WriteLine($"{DateTime.UtcNow:hh:mm:ss} Reset");
         result = device.Reset();
         if (result != Result.Success)
         {
            Debug.WriteLine($"Reset failed {result}");
            return;
          }
#endif

         Debug.WriteLine($"{DateTime.UtcNow:hh:mm:ss} Region {Region}");
         result = device.Region(Region);
         if (result != Result.Success)
         {
            Debug.WriteLine($"Region failed {result}");
            return;
         }

         Debug.WriteLine($"{DateTime.UtcNow:hh:mm:ss} ADR On");
         result = device.AdrOn();
         if (result != Result.Success)
         {
            Debug.WriteLine($"ADR on failed {result}");
            return;
         }

               Debug.WriteLine($"{DateTime.UtcNow:hh:mm:ss} Port");
               result = device.Port(MessagePort);
               if (result != Result.Success)
               {
                  Debug.WriteLine($"Port on failed {result}");
                  return;
               }

#if OTAA
               Debug.WriteLine($"{DateTime.UtcNow:hh:mm:ss} OTAA");
               result = device.OtaaInitialise(Config.AppEui, Config.AppKey);
               if (result != Result.Success)
               {
                  Debug.WriteLine($"OTAA Initialise failed {result}");
                  return;
               }
#endif

#if ABP
               Debug.WriteLine($"{DateTime.UtcNow:hh:mm:ss} ABP");
               result = device.AbpInitialise(DevAddress, NwksKey, AppsKey);
               if (result != Result.Success)
               {
                  Debug.WriteLine($"ABP Initialise failed {result}");
                  return;
               }
#endif

               Debug.WriteLine($"{DateTime.UtcNow:hh:mm:ss} Join start Timeout:{JoinTimeOut.TotalSeconds} Seconds");
               result = device.Join(true, JoinTimeOut);
               if (result != Result.Success)
               {
                  Debug.WriteLine($"Join failed {result}");
                  return;
               }
               Debug.WriteLine($"{DateTime.UtcNow:hh:mm:ss} Join finish");

               while (true)
               {
#if PAYLOAD_BCD
                  Debug.WriteLine($"{DateTime.UtcNow:hh:mm:ss} Send Timeout:{SendTimeout.TotalSeconds} Seconds payload BCD:{PayloadBcd}");
#if CONFIRMED
                  result = device.Send(PayloadBcd, true, SendTimeout);
#else
                  result = device.Send(PayloadBcd, false, SendTimeout);
#endif
#endif

#if PAYLOAD_BYTES
                  Debug.WriteLine($"{DateTime.UtcNow:hh:mm:ss} Send Timeout:{SendTimeout.TotalSeconds} Seconds payload Bytes:{BitConverter.ToString(PayloadBytes)}");
#if CONFIRMED
                  result = device.Send(PayloadBytes, true, SendTimeout);
#else
                  result = device.Send(PayloadBytes, false, SendTimeout);
#endif
#endif
                  if (result != Result.Success)
                  {
                     Debug.WriteLine($"Send failed {result}");
                  }

                  Debug.WriteLine($"{DateTime.UtcNow:hh:mm:ss} Sleep");
                  result = device.Sleep();
                  if (result != Result.Success)
                  {
                     Debug.WriteLine($"Sleep failed {result}");
                     return;
                  }

                  Thread.Sleep(300000);

                  Debug.WriteLine($"{DateTime.UtcNow:hh:mm:ss} Wakeup");
                  result = device.Wakeup();
                  if (result != Result.Success)
                  {
                     Debug.WriteLine($"Wakeup failed {result}");
                     return;
                  }
               }
            }
         }
         catch (Exception ex)
         {
            Debug.WriteLine(ex.Message);
         }
      }

The Region, ADR and OtaaInitialise methods only need to be called when the device is first powered up and after a reset.

The library works but should be treated as late beta.

TTI V3 Connector Device EUI Representation

While debugging The Things Industries(TTI) V3 connector on my desktop I had noticed the Device EUI‘s were wrong.

TTI V3 Connector application running as a console application showing incorrect DeviceEUIs

The TTI V3 Connector code…

foreach (V3EndDevice device in endDevices.End_devices)
{
   if (DeviceAzureEnabled(device))
   {
      _logger.LogInformation("Config-ApplicationID:{0} DeviceID:{1} Device EUI:{2}", device.Ids.Application_ids.Application_id, device.Ids.Device_id, BitConverter.ToString(device.Ids.Dev_eui));

      tasks.Add(DeviceRegistration(device.Ids.Application_ids.Application_id, device.Ids.Device_id, _programSettings.ResolveDeviceModelId(device.Ids.Application_ids.Application_id, device.Attributes), stoppingToken));
   }
}

…uses some classes generated by nSwag based on the TheThingsNetwork/LoRaWAN-stack api.swagger.json

public partial class V3EndDeviceIdentifiers 
{
        [Newtonsoft.Json.JsonProperty("device_id", Required = Newtonsoft.Json.Required.Default, NullValueHandling = Newtonsoft.Json.NullValueHandling.Ignore)]
        public string Device_id { get; set; }
    
        [Newtonsoft.Json.JsonProperty("application_ids", Required = Newtonsoft.Json.Required.Default, NullValueHandling = Newtonsoft.Json.NullValueHandling.Ignore)]
        public V3ApplicationIdentifiers Application_ids { get; set; }
    
        /// <summary>The LoRaWAN DevEUI.</summary>
        [Newtonsoft.Json.JsonProperty("dev_eui", Required = Newtonsoft.Json.Required.Default, NullValueHandling = Newtonsoft.Json.NullValueHandling.Ignore)]
        public byte[] Dev_eui { get; set; }
    
        /// <summary>The LoRaWAN JoinEUI (AppEUI until LoRaWAN 1.0.3 end devices).</summary>
        [Newtonsoft.Json.JsonProperty("join_eui", Required = Newtonsoft.Json.Required.Default, NullValueHandling = Newtonsoft.Json.NullValueHandling.Ignore)]
        public byte[] Join_eui { get; set; }
    
        /// <summary>The LoRaWAN DevAddr.</summary>
        [Newtonsoft.Json.JsonProperty("dev_addr", Required = Newtonsoft.Json.Required.Default, NullValueHandling = Newtonsoft.Json.NullValueHandling.Ignore)]
        public byte[] Dev_addr { get; set; }
}

After some research I found references to the underlying problem in TTN and OpenAPI forums. The Dev_addr and Dev_eui fields are Base16(Hexidecimal) encoded binary but are being processed as if they were Base64(mime) encoded.

The TTI connector only displays the Device EUI so I changed the Dev_eui property to a string

public partial class V3EndDeviceIdentifiers 
{
        [Newtonsoft.Json.JsonProperty("device_id", Required = Newtonsoft.Json.Required.Default, NullValueHandling = Newtonsoft.Json.NullValueHandling.Ignore)]
        public string Device_id { get; set; }
    
        [Newtonsoft.Json.JsonProperty("application_ids", Required = Newtonsoft.Json.Required.Default, NullValueHandling = Newtonsoft.Json.NullValueHandling.Ignore)]
        public V3ApplicationIdentifiers Application_ids { get; set; }
    
        /// <summary>The LoRaWAN DevEUI.</summary>
        [Newtonsoft.Json.JsonProperty("dev_eui", Required = Newtonsoft.Json.Required.Default, NullValueHandling = Newtonsoft.Json.NullValueHandling.Ignore)]
        public string Dev_eui { get; set; }

      /// <summary>The LoRaWAN JoinEUI (AppEUI until LoRaWAN 1.0.3 end devices).</summary>
      [Newtonsoft.Json.JsonProperty("join_eui", Required = Newtonsoft.Json.Required.Default, NullValueHandling = Newtonsoft.Json.NullValueHandling.Ignore)]
        public byte[] Join_eui { get; set; }
    
        /// <summary>The LoRaWAN DevAddr.</summary>
        [Newtonsoft.Json.JsonProperty("dev_addr", Required = Newtonsoft.Json.Required.Default, NullValueHandling = Newtonsoft.Json.NullValueHandling.Ignore)]
        public byte[] Dev_addr { get; set; }
}

I also had to remove the BitConverter.ToString call

foreach (V3EndDevice device in endDevices.End_devices)
{
   if (DeviceAzureEnabled(device))
   {
      _logger.LogInformation("Config-ApplicationID:{0} DeviceID:{1} Device EUI:{2}", device.Ids.Application_ids.Application_id, device.Ids.Device_id, device.Ids.Dev_eui);

      tasks.Add(DeviceRegistration(device.Ids.Application_ids.Application_id, device.Ids.Device_id, _programSettings.ResolveDeviceModelId(device.Ids.Application_ids.Application_id, device.Attributes), stoppingToken));
   }
}

Now the DeviceEUI values are displayed correctly and searching for EndDevices in Azure Application Insights is easier

TTI V3 Connector application running as a console application showing correct DeviceEUIs

Modifying the nSwag generated classes is a really nasty way of fixing the problem but I think this approach is okay as it’s only one field and any other solution I could find was significantly more complex.

TTI V3 Gateway provisioning Dragino LHT65 Uplink

This very long post is about how to connect a Dragino LHT65 Temperature and Humidity sensor to Azure IoT Central using my TTI/TTN V3Azure IoT Connector and the Digital Twin Definition Language (DTDL).

Dragino LHT65 temperature and Humidity sensor

The first step was to add an application(dragino-lht65) in my The Things Industries(TTI) tenant

TTI/TTN application for my Dragino LHT65 devices
Adding devMobile as a collaborator on the new application
TTI Application API Key configuration

The new Application API Key used by the MQTTnet managed client only needs to have write downlink and read uplink traffic enabled.

FTDI Adapter and modified LHT64 cable

So I could reliably connect to my LHT65 devices to configure them I modified a programming cable so I could use it with a spare FTDI adaptor without jumper wires. Todo this I used a small jewelers screwdriver to “pop” out the VCC cable and move the transmit data line.

After entering the device password and checking the firmware version I used the AT+CFG command to display the device settings

AT+CFG: Print all configurations

[334428]***** UpLinkCounter= 0 *****
[334430]TX on freq 923200000 Hz at DR 2
[334804]txDone
[339807]RX on freq 923200000 Hz at DR 2
[339868]rxTimeOut
[340807]RX on freq 923200000 Hz at DR 2
[340868]rxTimeOut

Correct Password

Stop Tx events,Please wait for all configurations to print
Printf all config...
AT+DEUI=a8 .. .. .. .. .. .. d6
AT+DADDR=01......D6

AT+APPKEY=9d .. .. .. .. .. .. .. .. .. .. .. .. .. .. 2e
AT+NWKSKEY=f6 .. .. .. .. .. .. .. .. .. .. .. .. .. .. 69
AT+APPSKEY=4c 35 .. .. .. .. .. .. .. .. .. .. .. .. .. 3d
AT+APPEUI=a0 .. .. .. .. .. .. 00
AT+ADR=1
AT+TXP=0
AT+DR=0
AT+DCS=0
AT+PNM=1
AT+RX2FQ=923200000
AT+RX2DR=2
AT+RX1DL=1000
AT+RX2DL=2000
AT+JN1DL=5000
AT+JN2DL=6000
AT+NJM=1
AT+NWKID=00 00 00 00
AT+FCU=0
AT+FCD=0
AT+CLASS=A
AT+NJS=0
AT+RECVB=0:
AT+RECV=0:
AT+VER=v1.7 AS923

AT+CFM=0
AT+CFS=0
AT+SNR=0
AT+RSSI=0
AT+TDC=1200000
AT+PORT=2
AT+PWORD=123456
AT+CHS=0
AT+DATE=21/3/26 07:49:15
AT+SLEEP=0
AT+EXT=4,2
AT+RTP=20
AT+BAT=3120
AT+WMOD=0
AT+ARTEMP=-40,125
AT+CITEMP=1
Start Tx events OK


[399287]***** UpLinkCounter= 0 *****

[399289]TX on freq 923400000 Hz at DR 2

[399663]txDone

[404666]RX on freq 923400000 Hz at DR 2

[404726]rxTimeOut

[405666]RX on freq 923200000 Hz at DR 2

[405726]rxTimeOut

I copied the AppEUI and DevEUI for use on the TI Dragino LHT65 Register end device form provided by the TTI/TTN.

TTYI/TTN Dragino LHT65 Register end device

The Dragino LHT65 uses the DeviceEUI as the DeviceID which meant I had todo more redaction in my TTI/TTN and Azure Application Insights screen captures. The rules around the re-use of EndDevice ID were a pain in the arse(PITA) in my development focused tenant.

Dragino LHT 65 Device uplink payload formatter

The connector supports both uplink and downlink messages with JSON encoded payloads. The Dragino LHT65 has a vendor supplied formatter which is automatically configured when an EndDevice is created. The EndDevice formatter configuration can also be overridden at the Application level in the app.settings.json file.

Device Live Data Uplink Data Payload

Once an EndDevice is configured in TTI/TTN I usually use the “Live data Uplink Payload” to work out the decoded payload JSON property names and data types.

LHT65 Uplink only Azure IoT Central Device Template
LHT65 Device Template View Identity

For Azure IoT Central “automagic” provisioning the DTDLModelId has to be copied from the Azure IoT Central Template into the TTI/TTN EndDevice or app.settings.json file application configuration.

LHT65 Device Template copy DTDL @ID
TTI EndDevice configuring the DTDLV2 @ID at the device level

Configuring the DTDLV2 @ID at the TTI application level in the app.settings.json file

{
  "Logging": {
    "LogLevel": {
      "Default": "Debug",
      "Microsoft": "Debug",
      "Microsoft.Hosting.Lifetime": "Debug"
    },
    "ApplicationInsights": {
      "LogLevel": {
        "Default": "Debug"
      }
    }
  },

  "ProgramSettings": {
    "Applications": {
      "application1": {
        "AzureSettings": {
          "DeviceProvisioningServiceSettings": {
            "IdScope": "0ne...DD9",
            "GroupEnrollmentKey": "eFR...w=="
          }
        },
        "DTDLModelId": "dtmi:ttnv3connectorclient:FezduinoWisnodeV14x8;4",
        "MQTTAccessKey": "NNSXS.HCY...RYQ",
        "DeviceIntegrationDefault": false,
        "MethodSettings": {
          "Reboot": {
            "Port": 21,
            "Confirmed": true,
            "Priority": "normal",
            "Queue": "push"
          },
          "value_0": {
            "Port": 30,
            "Confirmed": true,
            "Priority": "normal",
            "Queue": "push"
          },
          "value_1": {
            "Port": 30,
            "Confirmed": true,
            "Priority": "normal",
            "Queue": "push"
          },
          "TemperatureOOBAlertMinimumAndMaximum": {
            "Port": 30,
            "Confirmed": true,
            "Priority": "normal",
            "Queue": "push"
          }
        }
      },
      "seeeduinolorawan": {
        "AzureSettings": {
          "DeviceProvisioningServiceSettings": {
            "IdScope": "0ne...DD9",
            "GroupEnrollmentKey": "AtN...g=="
          },
        },
        "DTDLModelId": "dtmi:ttnv3connectorclient:SeeeduinoLoRaWAN4cz;1",
        "MQTTAccessKey": "NNSXS.V44...42A",
        "DeviceIntegrationDefault": true,
        "DevicePageSize": 10
      },
      "dragino-lht65": {
        "AzureSettings": {
          "DeviceProvisioningServiceSettings": {
            "IdScope": "0ne...DD9",
            "GroupEnrollmentKey": "SLB...w=="
          }
        },
        "DTDLModelId": "dtmi:ttnv3connectorclient:DraginoLHT656w6;1",
        "MQTTAccessKey": "NNSXS.RIJ...NZQ",
        "DeviceIntegrationDefault": true,
        "DevicePageSize": 10
      }
    },
    "TheThingsIndustries": {
      "MqttServerName": "eu1.cloud.thethings.industries",
      "MqttClientId": "MQTTClient",
      "MqttAutoReconnectDelay": "00:00:05",
      "Tenant": "...-test",
      "ApiBaseUrl": "https://...-test.eu1.cloud.thethings.industries/api/v3",
      "ApiKey": "NNSXS.NR7...ZSA",
      "Collaborator": "devmobile",
      "DevicePageSize": 10,
      "DeviceIntegrationDefault": true
    }
  }
}

The Azure Device Provisioning Service(DPS) is configured at the TTI application level in the app.settings.json file. The IDScope and one of the Primary or Secondary Shared Access Signature(SAS) keys should be copied into DeviceProvisioningServiceSettings of an Application in the app.settings.json file. I usually set the “Automatically connect devices in this group” flag as part of the “automagic” provisioning process.

Azure IoT Central Group Enrollment Key
Then device templates need to be mapped to an Enrollment Group then Device Group.

For testing the connector application can be run locally with diagnostic information displayed in the application console window as it “automagically’ provisions devices and uploads telemetry data.

Connector application Diagnostics
Azure IoT Central Device list before my LHT65 device is “automagically” provisioned
Azure IoT Central Device list after my LHT65 device is “automagically” provisioned

One a device has been provisioned I check on the raw data display that all the fields I configured have been mapped correctly.

Azure IoT Central raw data display

I then created a dashboard to display the telemetry data from the LHT65 sensors.

Azure IoT Central dashboard displaying LHT65 temperature, humidity and battery voltage graphs.

The dashboard also has a few KPI displays which highlighted an issue which occurs a couple of times a month with the LHT65 onboard temperature sensor values (327.7°). I have connected Dragino technical support and have also been unable to find a way to remove the current an/or filter out future aberrant values.

Azure Application Insights logging

I also noticed that the formatting of the DeviceEUI values in the Application Insights logging was incorrect after trying to search for one of my Seeedstudio LoRaWAN device with its DeviceEUI.

Downlink messages NahYeah

While running my The Things IndustriesTTI) gateway I noticed an exception in the logs every so often

Exception of type 'Microsoft.Azure.Devices.Client.Exceptions.DeviceMessageLockLostException' was thrown.

My client subscribes to Message Queue Telemetry Transport Topics(MQTT) (using MQTTNet) for each TTI Application and establishes a connection (using an Azure DeviceClient) for each TTI Device to an Azure IoT Hub(s).

  • v3/{application id}@{tenant id}/devices/{device id}/up
  • v3/{application id}@{tenant id}/devices/{device id}/down/queued
  • v3/{application id}@{tenant id}/devices/{device id}/down/sent
  • v3/{application id}@{tenant id}/devices/{device id}/down/ack
  • v3/{application id}@{tenant id}/devices/{device id}/down/nack
  • v3/{application id}@{tenant id}/devices/{device id}/down/failed

The application subscribes to the queued, ack, nack, and failed topics so the progress of a downlink message can be monitored. For downlink messages the correlation_id “az:LockToken:” contains the message.LockToken so that they can be Abandoned, Completed or Rejected in the MQTT receive messageHandler.

Below is the logging from my application for an odd sequence of messages

*****Nothing much happening for a couple of hours the .'s represent approx 1 second. Wisnode 4 sends roughly every 5 minues

.....................................................................................................................................................................................................................................................................................................................
03:36:08 TTN Uplink message
 ApplicationID: application1
 DeviceID: wisnodetest04
 Port: 5
.....................................................................................................................................................................................................................................................................................................................
03:41:18 TTN Uplink message
 ApplicationID: application1
 DeviceID: wisnodetest04
 Port: 5
...........................................................................
03:42:34 Azure IoT Hub downlink message
 ApplicationID: application1
 DeviceID: wisnodetest04
 LockToken: 57ea0fad-b6b3-492e-b194-10c4ff3e53cb
 Body: vu8=

*****I then started sending 5 messages to Wisnode 5 same payload vu8=, port 71 thru 75 

***** 71 Queued
03:42:34 Queued: v3/application1@tenant1/devices/wisnodetest04/down/queued
 payload: {"end_device_ids":{"device_id":"wisnodetest04","application_ids":{"application_id":"application1"}},
	"correlation_ids":[
"az:LockToken:57ea0fad-b6b3-492e-b194-10c4ff3e53cb",
"as:downlink:01EXX9B1CA4DB68PKCDAK4SS4H"],
	"downlink_queued":{"f_port":71,"frm_payload":"vu8=","confirmed":true,"priority":"NORMAL",
	"correlation_ids":[
"az:LockToken:57ea0fad-b6b3-492e-b194-10c4ff3e53cb",
"as:downlink:01EXX9B1CA4DB68PKCDAK4SS4H"]}}
...
03:42:37 Azure IoT Hub downlink message
 ApplicationID: application1
 DeviceID: wisnodetest04
 LockToken: e2fef28c-fb1f-42cd-bb40-3ad8e6051da9
 Body: vu8=
.

***** 72 Queued
03:42:38 Queued: v3/application1@tenant1/devices/wisnodetest04/down/queued
 payload: {"end_device_ids":{"device_id":"wisnodetest04","application_ids":{"application_id":"application1"}},
	"correlation_ids":[
"az:LockToken:e2fef28c-fb1f-42cd-bb40-3ad8e6051da9",
"as:downlink:01EXX9B4RGSCJ4BN21GHPM85W5"],
	"downlink_queued":{"f_port":72,"frm_payload":"vu8=",
"confirmed":true,"priority":"NORMAL",
	"correlation_ids":[
"az:LockToken:e2fef28c-fb1f-42cd-bb40-3ad8e6051da9",
"as:downlink:01EXX9B4RGSCJ4BN21GHPM85W5"]}}
...
03:42:41 Azure IoT Hub downlink message
 ApplicationID: application1
 DeviceID: wisnodetest04
 LockToken: 70d61d71-9b24-44d2-b54b-7cc08da4d072
 Body: vu8=

***** 73 Queued
03:42:41 Queued: v3/application1@tenant1/devices/wisnodetest04/down/queued
 payload: {"end_device_ids":{"device_id":"wisnodetest04","application_ids":{"application_id":"application1"}},
	"correlation_ids":[
"az:LockToken:70d61d71-9b24-44d2-b54b-7cc08da4d072","as:downlink:01EXX9B800WF7FEP56J3EZ3M8A"],
	"downlink_queued":{"f_port":73,"frm_payload":"vu8=",
"confirmed":true,"priority":"NORMAL",
	"correlation_ids":[
"az:LockToken:70d61d71-9b24-44d2-b54b-7cc08da4d072",
"as:downlink:01EXX9B800WF7FEP56J3EZ3M8A"]}}
...

***** 74 Queued
03:42:45 Azure IoT Hub downlink message
 ApplicationID: application1
 DeviceID: wisnodetest04
 LockToken: 12537728-de4a-4489-ace5-92923e49b8e4
 Body: vu8=
.
03:42:45 Queued: v3/application1@tenant1/devices/wisnodetest04/down/queued
 payload: {"end_device_ids":{"device_id":"wisnodetest04","application_ids":{"application_id":"application1"}},
	"correlation_ids":[
"az:LockToken:12537728-de4a-4489-ace5-92923e49b8e4",
"as:downlink:01EXX9BBWA2YNCN2DFE5FC3BP3"],
	"downlink_queued":{
"f_port":74,"frm_payload":"vu8=",
"confirmed":true,"priority":"NORMAL",
	"correlation_ids":[
"az:LockToken:12537728-de4a-4489-ace5-92923e49b8e4",
"as:downlink:01EXX9BBWA2YNCN2DFE5FC3BP3"]}}
...

***** 75 Queued
03:42:48 Azure IoT Hub downlink message
 ApplicationID: application1
 DeviceID: wisnodetest04
 LockToken: 388efc11-4514-406e-8147-9109289095f4
 Body: vu8=

03:42:49 Queued: v3/application1@tenant1/devices/wisnodetest04/down/queued
 payload: {"end_device_ids":{"device_id":"wisnodetest04","application_ids":{"application_id":"application1"}},
	"correlation_ids":[
"az:LockToken:388efc11-4514-406e-8147-9109289095f4",
"as:downlink:01EXX9BFCM2G51EPYNWGDWPS0N"],
	"downlink_queued":{"f_port":75,"frm_payload":"vu8=",
"confirmed":true,"priority":"NORMAL",
	"correlation_ids":[
"az:LockToken:388efc11-4514-406e-8147-9109289095f4",
"as:downlink:01EXX9BFCM2G51EPYNWGDWPS0N"]}}

***** Waiting for Wisniode
..........................................................................................................................................................................
03:47:18 TTN Uplink message
 ApplicationID: application1
 DeviceID: wisnodetest04
 Port: 5

***** Waiting for Wisniode again, I think might have been such a long delay becuase TTI didn't get
..........................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
***** 71 Nack'd
03:56:52 Nack: v3/application1@tenant1/devices/wisnodetest04/down/nack
 payload: {"end_device_ids":{"device_id":"wisnodetest04","application_ids":{"application_id":"application1"},
	"dev_eui":"60C5A8FFFE781691","join_eui":"70B3D57ED0000000","dev_addr":"26083BE1"},
	"correlation_ids":[
"as:downlink:01EXX9B1CA4DB68PKCDAK4SS4H",
"as:up:01EXXA572VHN7X7G5KFTHBQPNG",
"az:LockToken:57ea0fad-b6b3-492e-b194-10c4ff3e53cb",
"gs:conn:01EXRPTTFGFNTRGH7V8FTC3R0S",
"gs:up:host:01EXRPTTFTEXBNV87KZFYFWP5V",
"gs:uplink:01EXXA56VPK14XG5S8JB9Q0V0X",
"ns:uplink:01EXXA56VYCHGGPPN1K77REMNM",
"rpc:/ttn.lorawan.v3.GsNs/HandleUplink:01EXXA56VRG6811HRCF803VJ34"],
	"received_at":"2021-02-07T03:56:53.211893610Z",
	"downlink_nack":{
"session_key_id":"AXd6GPmneD3dKVoArcS36g==",
"f_port":71,"f_cnt":35,
"frm_payload":"vu8=",
"confirmed":true,"priority":"NORMAL",
	"correlation_ids":[
"az:LockToken:57ea0fad-b6b3-492e-b194-10c4ff3e53cb",
"as:downlink:01EXX9B1CA4DB68PKCDAK4SS4H"]}}

 Found az:LockToken:

03:56:52 TTN Uplink message
 ApplicationID: application1
 DeviceID: wisnodetest04
 Port: 5

03:56:52 Azure IoT Hub downlink message
 ApplicationID: application1
 DeviceID: wisnodetest04
 LockToken: 856f5a9b-bc37-435c-8de9-19d2213999f8
 Body: vu8=

03:56:53 Queued: v3/application1@tenant1/devices/wisnodetest04/down/queued
 payload: {
"end_device_ids":{"device_id":"wisnodetest04","application_ids":{"application_id":"application1"},
	"correlation_ids":[
"az:LockToken:856f5a9b-bc37-435c-8de9-19d2213999f8",
"as:downlink:01EXXA57JJWWYEDX3Z55TNSTP5"],
	"downlink_queued":{"f_port":71,
"frm_payload":"vu8=",
"confirmed":true,"priority":"NORMAL",
	"correlation_ids":
["az:LockToken:856f5a9b-bc37-435c-8de9-19d2213999f8",
"as:downlink:01EXXA57JJWWYEDX3Z55TNSTP5"]}}

......
***** 71 Ack'd
03:56:58 Ack: v3/application1@tenant1/devices/wisnodetest04/down/ack
 payload: {"end_device_ids":{"device_id":"wisnodetest04","application_ids":{"application_id":"application1"},
	"dev_eui":"60C5A8FFFE781691","join_eui":"70B3D57ED0000000","dev_addr":"26083BE1"},
	"correlation_ids":[
"as:downlink:01EXX9B1CA4DB68PKCDAK4SS4H",
"as:up:01EXXA5D45E77S19TXEV1E4GAJ",
"az:LockToken:57ea0fad-b6b3-492e-b194-10c4ff3e53cb",
"gs:conn:01EXRPTTFGFNTRGH7V8FTC3R0S",
"gs:up:host:01EXRPTTFTEXBNV87KZFYFWP5V",
"gs:uplink:01EXXA5CV73THH2RKEAC2T9MDP",
"ns:uplink:01EXXA5CVDCWPFBTXGGGB3T02W",
"rpc:/ttn.lorawan.v3.GsNs/HandleUplink:01EXXA5CVDEXDFBPYXC0J01Q3E"],
	"received_at":"2021-02-07T03:56:59.397330003Z",
	"downlink_ack":{
"session_key_id":"AXd6GPmneD3dKVoArcS36g==",
"f_port":71,"f_cnt":36,"frm_payload":"vu8=",
"confirmed":true,"priority":"NORMAL",
	"correlation_ids":[
"az:LockToken:57ea0fad-b6b3-492e-b194-10c4ff3e53cb",
"as:downlink:01EXX9B1CA4DB68PKCDAK4SS4H"]}}

 Found az:LockToken:
Exception of type 'Microsoft.Azure.Devices.Client.Exceptions.DeviceMessageLockLostException' was thrown.

03:56:59 TTN Uplink message
 ApplicationID: application1
 DeviceID: wisnodetest04
 Port: 0
......
03:57:04 Ack: v3/application1@tenant1/devices/wisnodetest04/down/ack
 payload: {"end_device_ids":{"device_id":"wisnodetest04","application_ids":{"application_id":"application1"},
"dev_eui":"60C5A8FFFE781691","join_eui":"70B3D57ED0000000","dev_addr":"26083BE1"},
"correlation_ids":[
"as:downlink:01EXX9B4RGSCJ4BN21GHPM85W5",
"as:up:01EXXA5K2FWGP9DGD7THWZ8HNR",
"az:LockToken:e2fef28c-fb1f-42cd-bb40-3ad8e6051da9",
"gs:conn:01EXRPTTFGFNTRGH7V8FTC3R0S",
"gs:up:host:01EXRPTTFTEXBNV87KZFYFWP5V",
"gs:uplink:01EXXA5JVDR102TKCWQ77P4YYF",
"ns:uplink:01EXXA5JVGNGMZN33FNT47G6PF",
"rpc:/ttn.lorawan.v3.GsNs/HandleUplink:01EXXA5JVGJFFQVEWX2M1XSFKK"],
"received_at":"2021-02-07T03:57:05.487910418Z","downlink_ack":{"session_key_id":"AXd6GPmneD3dKVoArcS36g==",
"f_port":72,"f_cnt":37,
"frm_payload":"vu8=",
"confirmed":true,"priority":"NORMAL","correlation_ids":
["az:LockToken:e2fef28c-fb1f-42cd-bb40-3ad8e6051da9","as:downlink:01EXX9B4RGSCJ4BN21GHPM85W5"]}}

The sequence of messages is a bit odd, in the Azure DeviceClient ReceiveMessageHandler a downlink message is published, then a queued message is received, then a nak and finally an ack, The exception was because my client was trying to Complete the delivery of a message that had already been Abandoned.

Application Insights & Configuration

As part of my The Things IndustriesTTI) Integration my current approach is to use an Azure web job and configure the Azure App Service host so it doesn’t get shutdown after a period of inactivity. This so my application won’t have to repeatedly use the TTI API to request the Application and Device configuration information to reload the cache (still not certain if this is going to be implemented with a ConcurrentDictionary or ObjectCache).

namespace devMobile.TheThingsNetwork.WorkerService
{
   using System.Collections.Generic;

   public class AzureDeviceProvisiongServiceSettings
   {
      public string IdScope { get; set; }
      public string GroupEnrollmentKey { get; set; }
   }

   public class AzureSettings
   {
      public string IoTHubConnectionString { get; set; }
      public AzureDeviceProvisiongServiceSettings DeviceProvisioningServiceSettings { get; set; }
   }

   public class ApplicationSetting
   {
      public AzureSettings AzureSettings { get; set; }

      public string MQTTAccessKey { get; set; }

      public byte? ApplicationPageSize { get; set; }

      public bool? DeviceIntegrationDefault { get; set; }
      public byte? DevicePageSize { get; set; }
   }

   public class TheThingsIndustries
   {
      public string MqttServerName { get; set; }
      public string MqttClientName { get; set; }

      public string Tennant { get; set; }
      public string ApiBaseUrl { get; set; }
      public string ApiKey { get; set; }

      public bool ApplicationIntegrationDefault { get; set; }
      public byte ApplicationPageSize { get; set; }

      public bool DeviceIntegrationDefault { get; set; }
      public byte DevicePageSize { get; set; }
   }

   public class ProgramSettings
   {
      public TheThingsIndustries TheThingsIndustries { get; set; }

      public AzureSettings AzureSettingsDefault { get; set; }

      public Dictionary<string, ApplicationSetting> Applications { get; set; }
   }
}

The amount of configuration required to support multiple TTI Applications containing many Devices is also starting to get out of hand.

I need to subscribe to a Message Queue Telemetry Transport Topics(MQTT using MQTTNet) for each Application and establish a connection (using an Azure DeviceClient) for each TTI Device to the configured Azure IoT Hub(s).

  • v3/{application id}@{tenant id}/devices/{device id}/up
  • v3/{application id}@{tenant id}/devices/{device id}/down/queued
  • v3/{application id}@{tenant id}/devices/{device id}/down/sent
  • v3/{application id}@{tenant id}/devices/{device id}/down/ack
  • v3/{application id}@{tenant id}/devices/{device id}/down/nack
  • v3/{application id}@{tenant id}/devices/{device id}/down/failed

The Azure DeviceClient has to be configured and OpenAsync called just before/after subscribing to the TTI Application /up topic so the SendEventAsync method can be called to send messages to the configured Azure IoT Hub(s). For downlink messages the SetReceiveMessageHandler method will need to be called just before/after subscribing to ../down/queued, ../down/sent,../down/ack,…/down/nack and ,…/down/failed downlink topics.

The ordering of downloading the Application and Device configuration so downlink messages can be sent and uplink message received as soon as possible (so no messages are lost) is important. I have considered making the downlink process multi-threaded so API calls are made concurrently but I’m not certain the additional complexity would be worth it, especially in initial versions.

I’m also currently not certain about how to register my program for Application and Device registry changes so it doesn’t have to be restarted when configuration changes. I have also considered reverting to an HTTP Integration so that I could use Azure Storage queues to buffer uplink and downlink messages. This may also introduce ordering issues when multiple threads are created for Azure Queue Trigger functions to process a message backlog.

For debugging the application and monitoring in production I was planning on using the Apache Log4Net library but now I’m not certain the additional configuration complexity and dependencies are worth it. The built in Microsoft.Extensions.Logging library with Azure Application Insights integration looks like a “light weight” alternative with sufficient functionality .

protected override async Task ExecuteAsync(CancellationToken stoppingToken)
{
   while (!stoppingToken.IsCancellationRequested)
   {
      _logger.LogDebug("Debug worker running at: {time}", DateTimeOffset.Now);
      _logger.LogInformation("Info worker running at: {time}", DateTimeOffset.Now);
      _logger.LogWarning("Warning worker running at: {time}", DateTimeOffset.Now);
      _logger.LogError("Error running at: {time}", DateTimeOffset.Now);

      using (_logger.BeginScope("TheThingsIndustries configuration"))
      {
         _logger.LogInformation("Tennant: {0}", _programSettings.TheThingsIndustries.Tennant);
         _logger.LogInformation("ApiBaseUrl: {0}", _programSettings.TheThingsIndustries.ApiBaseUrl);
         _logger.LogInformation("ApiKey: {0}", _programSettings.TheThingsIndustries.ApiKey);

         _logger.LogInformation("ApplicationPageSize: {0}", _programSettings.TheThingsIndustries.ApplicationPageSize);
         _logger.LogInformation("DevicePageSize: {0}", _programSettings.TheThingsIndustries.DevicePageSize);

         _logger.LogInformation("ApplicationIntegrationDefault: {0}", _programSettings.TheThingsIndustries.ApplicationIntegrationDefault);
         _logger.LogInformation("DeviceIntegrationDefault: {0}", _programSettings.TheThingsIndustries.DeviceIntegrationDefault);

         _logger.LogInformation("MQTTServerName: {0}", _programSettings.TheThingsIndustries.MqttServerName);
         _logger.LogInformation("MQTTClientName: {0}", _programSettings.TheThingsIndustries.MqttClientName);
      }

      using (_logger.BeginScope("Azure default configuration"))
      {
         if (_programSettings.AzureSettingsDefault.IoTHubConnectionString != null)
         {
            _logger.LogInformation("AzureSettingsDefault.IoTHubConnectionString: {0}", _programSettings.AzureSettingsDefault.IoTHubConnectionString);
         }

         if (_programSettings.AzureSettingsDefault.DeviceProvisioningServiceSettings != null)
         {
            _logger.LogInformation("AzureSettings.DeviceProvisioningServiceSettings.IdScope: {0}", _programSettings.AzureSettingsDefault.DeviceProvisioningServiceSettings.IdScope);
            _logger.LogInformation("AzureSettings.DeviceProvisioningServiceSettings.GroupEnrollmentKey: {0}", _programSettings.AzureSettingsDefault.DeviceProvisioningServiceSettings.GroupEnrollmentKey);
         }
      }
    
      foreach (var application in _programSettings.Applications)
      {
         using (_logger.BeginScope(new[] { new KeyValuePair<string, object>("Application", application.Key)}))
         {
            _logger.LogInformation("MQTTAccessKey: {0} ", application.Value.MQTTAccessKey);

            if (application.Value.ApplicationPageSize.HasValue)
            {
               _logger.LogInformation("ApplicationPageSize: {0} ", application.Value.ApplicationPageSize.Value);
            }

            if (application.Value.DeviceIntegrationDefault.HasValue)
            {
               _logger.LogInformation("DeviceIntegation: {0} ", application.Value.DeviceIntegrationDefault.Value);
            }

            if (application.Value.DevicePageSize.HasValue)
            {
               _logger.LogInformation("DevicePageSize: {0} ", application.Value.DevicePageSize.Value);
            }

            if (application.Value.AzureSettings.IoTHubConnectionString != null)
            {
               _logger.LogInformation("AzureSettings.IoTHubConnectionString: {0} ", application.Value.AzureSettings.IoTHubConnectionString);
            }

            if (application.Value.AzureSettings.DeviceProvisioningServiceSettings != null)
            {
               _logger.LogInformation("AzureSettings.DeviceProvisioningServiceSettings.IdScope: {0} ", application.Value.AzureSettings.DeviceProvisioningServiceSettings.IdScope);
               _logger.LogInformation("AzureSettings.DeviceProvisioningServiceSettings.GroupEnrollmentKey: {0} ", application.Value.AzureSettings.DeviceProvisioningServiceSettings.GroupEnrollmentKey);
            }
         }
      }

      await Task.Delay(300000, stoppingToken);
   }
}

The logging information formatting is sufficiently readable when running locally

Extensive use of the BeginScope method to include additional meta-data on logged records should make debugging easier.

This long post is to explain some of my design decisions and which ones are still to be decided