Personal OneDrive Music Player on Raspberry Pi with a Web-based Remote Control (Part 2)

There are so much things that we can build with a Raspberry Pi. It’s always my small little dream to have a personal music player that sits on my desk. In the Part 1, we already setup the music player programme which is written in Golang on Raspberry Pi successfully.

Now we need to have a web app as a remote control which will send command to the music player to play the selected song. In this article, we will talk about the web portal and how we access the OneDrive with Microsoft Graph and go-onedrive client.

[Image Caption: System design of this music player together with its web portal.]

Project GitHub Repository

The complete source code of this web-based music player remote control can be found at https://github.com/goh-chunlin/Lunar.Music.Web.

Gin Web Framework

I had a discussion with Shaun Chong, the Ninja Van CTO, and I was told that they’re using Gin web framework. Hence, now I decide to try the framework out in this project as well.

Gin offers a fast router that’s easy to configure and use. For example, to serve static files, we simply need to have a folder static_files, for example, in the root of the programme together with the following one line.

router.StaticFS("/static", http.Dir("static_files"))

However, due to the fact that later I need to host this web app on Azure Function, I will not go this route. Hence, currently the following are the main handlers in the main function.

router.LoadHTMLGlob("templates/*.tmpl.html")

router.GET("/api/HttpTrigger/login-url", getLoginURL)
router.GET("/api/HttpTrigger/auth/logout", showLogoutPage)
router.GET("/api/HttpTrigger/auth/callback", showLoginCallbackPage)

router.GET("/api/HttpTrigger/", showMusicListPage)

router.POST("/api/HttpTrigger/send-command-to-raspberrypi", sendCommandToRaspberryPi)

The first line is to load all the HTML template files (*.tmpl.html) located in the templates folder. The templates we have include some reusable templates such as the following footer template in the file footer.tmpl.html.

<!-- Footer -->
<footer id="footer">
    <div class="container">
        ...
    </div>
</footer>

We can then import such reusable templates into other HTML files as shown below.

<!DOCTYPE html>
<html>
    ...
    <body>
        ...
        {{ template "footer.tmpl.html" . }}
        ...
    </body>
</html>

After importing the templates, we have five routes defined. All of the routes start with /api/HttpTrigger is because this web app is designed to be hosted on Azure Function with a HTTP-triggered function called HttpTrigger.

The first three routes are for authentication. Then after that is one route for loading the web pages, and one handler for sending RabbitMQ message to the Raspberry Pi.

The showMusicListPage handler function will check whether the user is logged in to Microsoft account with access to OneDrive or not. It will display the homepage if the user is not logged in yet. Otherwise, if the user has logged in, it will list the music items in the user’s OneDrive Music folder.

func showMusicListPage(context *gin.Context) {
    ...
    defaultDrive, err := client.Drives.Default(context)
    if err == nil && defaultDrive.Id != "" {
        ...
        context.HTML(http.StatusOK, "music-list.tmpl.html", gin.H{ ... })
        
        return
    }

    context.HTML(http.StatusOK, "index.tmpl.html", gin.H{ ... })
}

Hosting Golang Application on Azure Function

There are many ways to host Golang web application on Microsoft Azure. The place we will be using in this project is Azure Function, the serverless service from Microsoft Azure.

Currently, Azure Function offers first-class support for only a limited number of programming languages, such as JavaScript, C#, Python, Java, etc. Golang is not one of them. Fortunately, in March 2020, Azure Function custom handler is announced officially even though it’s still in preview now.

The custom handler provides a lightweight HTTP server written in any language which then enables developers to bring applications, such as those written in Golang, into Azure Function.

Azure Functions custom handler overview
[Image Caption: The relationship between the Functions host and a web server implemented as a custom handler. (Image Source: Microsoft Docs – Azure)]

What is even more impressive is that for HTTP-triggered functions with no additional bindings or outputs, we can enable HTTP Request Forwarding. With this configuration, the handler in our Golang application can work directly with the HTTP requests and responses. This is all configured in the host.json of the Azure Function as shown below.

{
    "version": "2.0",
    "extensionBundle": {
        "id": "Microsoft.Azure.Functions.ExtensionBundle",
"version": "[1.*, 2.0.0)"
    },
    "customHandler": {
        "description": {
            "defaultExecutablePath": "lunar-music-webapp.exe"
        },
        "enableForwardingHttpRequest": true
    }
}

The defaultExecutablePath is pointing to the our Golang web app binary executable which is output by go build command.

So, in the wwwroot folder of the Azure Function, we should have the following items, as shown in the screenshot below.

[Image Caption: The wwwroot folder of the Azure Function.]

Since we have already enabled the HTTP Request Forwarding, we don’t have to worry about the HttpTrigger directory. Also, we don’t have to upload our web app source codes because the executable is there already. What we need to upload is just the static resources, such as our HTML template files in the templates folder.

The reason why I don’t upload other static files, such as CSS JavaScript, and image files, is that those static files can be structured to have multiple directory levels. We will encounter a challenge when we are trying to define the Route Template of the Function, as shown in the screenshot below. There is currently no way to define route template without knowing the maximum number of directory level we can have in our web app.

[Image Caption: Defining the route template in the HTTP Trigger of a function.]

Hence, I move all the CSS, JS, and image files to Azure Storage instead.

From the Route Template in the screenshot above, we can also understand why the routes in our Golang web app needs to start with /api/HttpTrigger.

Golang Client Library for OneDrive API

In this project, users will first store the music files online at their personal OneDrive Music folder. I restrict it to only the Music folder is to make the management of the music to be more organised. So it is not because there is technical challenge in getting files from other folders in OneDrive.

Referring to the Google project where they build a Golang client library for accessing the GitHub API, I have also come up with go-onedrive, a Golang client library, which is still in progress, to access the Microsoft OneDrive.

Currently, the go-onedrive only support simple API methods such as getting Drives and DriveItems. These two are the most important API methods for our web app in this project. I will continue to enhance the go-onedrive library in the future.

[Image Caption: OneDrive can access the metadata of a music file as well, so we can use API to get more info about the music.]

The go-onedrive library does not directly handle authentication. Instead, when creating a new client, we need to pass an http.Client that can handle authentication. The easiest and recommended way to do this is using the oauth2 library.

So the next thing we need to do is adding user authentication feature to our web app.

Microsoft Graph and Microsoft Identity platform

Before our web app can make requests to OneDrive, it needs users to authenticate and authorise the application to have access to their data. Currently, the official recommended way of doing so is to use Microsoft Graph, a set of REST APIs which enable us to access data on Microsoft cloud services, such as OneDrive, User, Calendar, People, etc. For more information, please refer to the YouTube video below.

So we can send HTTP GET requests to endpoints to retrieve information from OneDrive, for example /me/drives will return the default drive of the currently authenticated user.

Generally, to access OneDrive API, developers are recommend to use the standard OAuth 2.0 authorisation framework with the Azure AD v2.0 endpoint. This is where we will talk about the new Microsoft Identity Platform, which is the recommended way for accessing Microsoft Graph APIs.  Microsoft Identity Platform allows developers to build applications that sign in users, get tokens to call the APIs, as shown in the diagram below.

Microsoft identity platform today
[Image Caption: Microsoft Identity Platform experience. (Image Source: Microsoft Docs – Azure)]

By the way, according to Microsoft, the support for ADAL will come to an end in June 2022. So it’s better to do the necessary migration if you are still using the v1.0. Currently, the Golang oauth2 package is already using the Microsoft Identity Platform endpoints.

[Image Caption: Microsoft Identity Platform endpoints are used in the Golang OAuth2 package since December 2017.]

Now the first step we need to do is to register an Application with Microsoft on the Azure Portal. From there, we can get both the Client ID and the Client Secret (secret is now available under the “Certificates & secrets” section of the Application).

After that, we need to find out the authentication scopes to use so that the correct access type is granted when the user is signed in from our web app.

With those information available, we can define the OAuth2 configuration as follows in our web app.

var oauthConfig = &oauth2.Config{
    RedirectURL:  AzureADCallbackURL,
    ClientID:     AzureADClientID,
    ClientSecret: AzureADClientSecret,
    Scopes:       []string{"files.read offline_access"},
    Endpoint:     microsoft.AzureADEndpoint("common"),
}

The “file.read” scope is to grant read-only permission to all OneDrive files of the logged in user. By the way, to check the Applications that you are given access to so far in Microsoft Account, you can refer to the consent management page of Microsoft Account.

Access Token, Refresh Token, and Cookie

The “offline_access” scope is used here because we need a refresh token that can be used to generate additional access tokens as necessary. However, please take note that this “offline_access” scope is not available for the Token Flow. Hence, what we can only use is the Code Flow, which is described in the following diagram.

Authorization Code Flow Diagram
[Image Caption: The Code Flow. (Image Source: Microsoft Docs – OneDrive Developer)]

Hence, this explains why we have the following codes in the /auth/callback, which is the Redirect URL of our registered Application. What the codes do is to get the access token and refresh token from the /token endpoint using the auth code returned from the /authorize endpoint.

r := context.Request
code := r.FormValue("code")

response, err := http.PostForm(
    microsoft.AzureADEndpoint("common").TokenURL,
    url.Values{
        "client_id":     {AzureADClientID},
        "redirect_uri":  {AzureADCallbackURL},
        "client_secret": {AzureADClientSecret},
        "code":          {code},
        "grant_type":    {"authorization_code"}
    }
)

Here, we cannot simply decode the response body into the oauth2.Token yet. This is because the JSON in the response body from the Azure AD token endpoint only has expires_in but not expiry. So it does not have any field that can map to the Expiry field in oauth2.Token. Without Expiry, the refresh_token will never be used, as highlighted in the following screenshot.

[Image Caption: Even though the Expiry is optional but without it, refresh token will not be used.]

Hence, we must have our own struct tokenJSON defined so that we can first decode the response body to tokenJSON and then convert it to oauth2.Token with value in the Expiry field before passing the token to the go-onedrive client. By doing so, the access token will be automatically refreshed as necessary.

Finally, we just need to store the token in cookies using gorilla/securecookie which will encode authenticated and encrypted cookie as shown below.

encoded, err := s.Encode(ACCESS_AND_REFRESH_TOKENS_COOKIE_NAME, token)
if err == nil {
    cookie := &http.Cookie{
        Name: ACCESS_AND_REFRESH_TOKENS_COOKIE_NAME,
        Value: encoded,
        Path: "/",
        Secure: true,
        HttpOnly: true,
        SameSite: http.SameSiteStrictMode,
    }
    http.SetCookie(context.Writer, cookie)
}

Besides encryption, we also enable both Secure and HttpOnly attributes so that the cookie is sent securely and is not accessed by unintended parties or JavaScript Document.cookie API. The SameSite attribute also makes sure the cookie above not to be sent with cross-origin requests and thus provides some protection against Cross-Site Request Forgery (CSRF) attacks.

Microsoft Graph Explorer

For testing purposes, there is an official tool known as the Graph Explorer. It’s a tool that lets us make requests and see responses against the Microsoft Graph. From the Graph Explorer, we can also retrieve the Access Token and use it on other tools such as Postman to do further testing.

[Image Caption: Checking the response returned from calling the get DriveItems API.]

Azure Front door

In additional, Azure Front Door is added between the web app and the user in order to give us convenience in managing the global routing for the traffic to our web app.

The very first reason why I use Azure Front Door is also because I want to hide the /api/HttpTrigger part from the URL. This can be done by setting the custom forwarding path which points to the /api/HttpTrigger/ with URL rewrite enabled, as shown in the screenshot below.

[Image Caption: Setting the route details for the Rules Engine in Azure Front Door.]

In the screenshot above, we also notice a field called Backend Pool. A backend pool is a set of equivalent backends to which Front Door load balances your client requests. In our project, this will be the Azure Function that we’ve created above. Hence, in the future, when we have deployed the same web app to multiple Azure Functions so that Azure Front Door can help us to do load balancing.

Finally, Azure Front Door also provides a feature called Session Affinity which enables direct subsequent traffic from a user session to the same application backend for processing using Front Door generated cookies. This feature can be useful if we are building a stateful applications.

Final Product

Let’s take a look what it looks like after we’ve deployed the web app above and uploaded some music to the OneDrive. The web app is accessible through the Azure Front Door URL now at https://lunar-music.azurefd.net/.

[Image Caption: My playlist based on my personal OneDrive Music folder.]

Yup, that’s all. I finally have a personal music entertainment system on Raspberry Pi. =)

References

The code of the music player described in this article can be found in my GitHub repository: https://github.com/goh-chunlin/Lunar.Music.Web.

If you would like to find out more about Microsoft Identity Platform, you can also refer to the talk below given by Christos Matskas, Microsoft Senior Program Manager. Enjoy!

Personal OneDrive Music Player on Raspberry Pi with a Web-based Remote Control (Part 1)

There are so much things that we can build with a Raspberry Pi. It’s always my small little dream to have a personal music player that sits on my desk. With the successful setup of the Raspberry Pi 3 Model B few weeks ago, it’s time to realise that dream.

Project GitHub Repository

The complete source code of the music player program on the Raspberry Pi mentioned in this article can be found at https://github.com/goh-chunlin/Lunar.Music.RaspberryPi.

Project Objective

In this article and the next, I will be sharing with you the journey of building a personal music player on Raspberry Pi. The end product will just be like Spotify on Google Nest Hub where we can listen to our favourite music not on our computer or smart phone but on another standalone device, which is Raspberry Pi in this case.

In this project, there is no monitor or any other displays connected to my Raspberry Pi. So the output is simply music and songs. However, since there is no touch screen for user to interact with the Raspberry Pi like how Google Nest Hub does, we will need to use a web app which acts as the remote control of the Raspberry Pi music player. With the web app, user will be able to scan through the playlist and choose which music or song to play.

A month in, I barely use the Google Nest Hub Max (yet I still recommend it)
[Image Caption: Spotify on Google Nest Hub (Image Credit: Android Authority)]

In addition, while Google Nest Hub has its music streamed from Spotify, the music that our Raspberry Pi music player will use is available on our personal OneDrive Music folder. In the next article, I will talk more about how we can use Azure Active Directory and Microsoft Graph API to connect with our personal OneDrive service.

So with this introduction, we can confirm that the objective of this project is to build a music player on a Raspberry Pi which can be controlled remotely via a web app to play music from OneDrive.

[Image Caption: System design of this music player together with its web portal.]

We will only focus on the setup of Raspberry Pi and RabbitMQ server in this Part 1 of the article. In the Part 2, which can be found by clicking here, we will continue to talk about the web portal and how we access the OneDrive with Microsoft Graph and go-onedrive client.

Installing Golang on Raspberry Pi

The music player that we are going to build is using Golang. The reason of choosing Golang is because it’s easy to work with, especially integrating with the RabbitMQ server.

To install Golang on a Raspberry Pi, we can simply use the following command.

$ sudo apt-get install golang

However, please take note that the version of the Golang downloaded is not the latest one. So the alternative way of doing it is download the package from the Golang official website with the following commands.

Since the Raspberry Pi 3 Model B is having a 64-bit ARMv8 CPU and the latest Golang version is 1.15.5, according to the Golang website, what we need to download is the highlighted one in the following screenshot. Hence, we can run the following commands.

$ wget https://golang.org/dl/go1.15.5.linux-arm64.tar.gz
$ sudo tar -C /usr/local -xzf go1.15.5.linux-arm64.tar.gz
$ rm go1.15.5.linux-arm64.tar.gz
[Image Caption: Finding the correct package to download for Raspberry Pi 3 Model B.]

Now we have Golang installed on our Raspberry Pi, we can proceed to build the music player.

Music Player on Raspberry Pi

The multimedia player used in this project is the VLC Media Player which is not only free and open-source but also cross-platform. The reason VLC Media Player is chosen is also because it has nvlc, a command-line ncurses interface to play an MP3. Hence, to play an MP3 with nvlc, we just need to run the following command.

$ nvlc <mp3_file> --play-and-exit

The –play-and-exit flag is added to make sure that the VLC will exit once the particular music is finished.

Also, we can use Go exec command to execute the command above. For example, if we have an MP3 file called song and it’s stored in the directory songFileRoot, then we can play the MP3 file with the following codes.

cmd := exec.Command("nvlc", song, "--play-and-exit")

cmd.Dir = songFileRoot
cmd.Stdout = os.Stdout
cmd.Stderr = os.Stdout

if err := cmd.Run(); err != nil {
    fmt.Println("Error:", err)
}

Messaging, RabbitMQ, and Remote Controlling Via Web App

Now we need a communication channel for our web app to tell the Golang programme above which MP3 file to play.

A common way is to use HTTP and REST to communicate. That will require us to design some RESTful HTTP APIs and turn our Raspberry Pi to be a web server so that the web app can invoke the APIs with HTTP request.

Using RESTful API sounds great and easy but what if the Raspberry Pi is not responding? Then our web app has to implement some sort of reconnection or failover logic. In addition, when our web app makes a call to the API, it will be blocked waiting for a response. Finally, due to the nature of RESTful API, there will always be some coupling of services.

This makes me turn to an alternative way, which is messaging which is loose coupling and asynchronous. Using messaging with message brokers like RabbitMQ helps a lot with scalability too.

Here RabbitMQ is used because is a popular light-weight message broker and it’s suitable for general-purpose messaging. Also, I like how RabbitMQ simply stores messages and passes them to consumers when ready.

It’s also simple to setup RabbitMQ on a cloud server too. For example, now on Microsoft Azure, we can just launch a VM running Ubuntu 18.04 LTS and follow the steps listed in the tutorials below to install RabbitMQ Server on Azure.

RabbitMQ supports several messaging protocols, directly and through the use of plugins. Here we will be using the AMQP 0-9-1 which we have Golang client support for it as well.

How about the message format? Basically, to RabbitMQ, all messages are just byte arrays. So, we can store our data in JSON and serialise the JSON object to byte array before sending the data via RabbitMQ. Hence, we have the two structs below.

type Command struct {
    Tasks []*Task `json:"tasks"`
}

type Task struct {
    Name    string   `json:"name"`
    Content []string `json:"content"`
}

With this, we then can publish the message via RabbitMQ as follows.

ch, err := conn.Channel()
...
err = ch.Publish(
    "",     // exchange
    q.Name, // routing key
    false,  // mandatory
    false,  // immediate
    amqp.Publishing{
        ContentType: "application/json",
        Body:        body,
    }
)

When the message is received at Raspberry Pi side, we simply need to de-serialise it accordingly to get the actual data.

Now, by connecting both the Raspberry Pi music player and the web app to the RabbitMQ server, both of them can communicate. We will then make our app web app as a sender to send the music filename over to the music player on the Raspberry Pi to instruct it to play the music.

Transferring OneDrive Music to Raspberry Pi

The music is stored on personal OneDrive Music folder online. Hence, it’s not a wise idea to always let our Raspberry Pi to stream the music from OneDrive every time the same music is chosen. Instead, we shall download only once to the Raspberry Pi right before the first time of a music is playing.

Hence, in our music player programme, we have a data file called playlist.data which keeps track of the OneDrive Item ID and its local file name on the Raspberry Pi. Once the music is successfully downloaded to the Raspberry Pi, a new line of record as shown below will be appended to the data file.

121235678##########music.mp3

Hence for the subsequent play of the same music, the music player programme will scan through the data file and play the local MP3 file instead of downloading it again from OneDrive.

func isDriveItemDownloaded(driveItemId string) bool {
    isMusicFileDownloaded := false

    dataFile, err := os.Open("playlist.dat")

    defer dataFile.Close()

    if err == nil {
        scanner := bufio.NewScanner(dataFile)
        scanner.Split(bufio.ScanLines)

        for scanner.Scan() {
            line := scanner.Text()
            if !isMusicFileDownloaded && 0 == strings.Index(line, driveItemId) {
                lineComponents := strings.Split(line, "##########")
                playSingleMusicFile(lineComponents[1])
                isMusicFileDownloaded = true
            }
        }
    }
    return isMusicFileDownloaded
}

Launch the Music Player Automatically

With our music player ready, instead of having us to launch it manually, could we make it run on our Raspberry Pi at startup? Yes, there are five ways of doing so listed on the Dexter Industry article. I choose to modify the .bashrc file which will run the music player when we boot up the Raspberry Pi and log in to it.

$ sudo nano /home/pi/.bashrc

In the .bashrc file, we simply need to append the following lines where we will change directory to the root of the music player programme. We cannot simply just run the programme just yet. We need to make sure two things.

Firstly, we need to make our music player run in the background. Doing so is because we want to continue to use the shell without waiting for the song finishes playing. So we can simply add the & to the end of the command so that the music player programme will start in the background.

Secondly, since we login to the Raspberry Pi using SSH, when we start a shell script and then logout from it, the process will be killed and thus cause the music player programme to stop. Hence, we need nohup (no hang up) command to catch the hangup signal so that our programme can run even after we log out from the shell.

# auto run customised programmes
cd /home/pi/golang/src/music-player
nohup ./music-player &

USB Speaker and ALSA

Next, we need to connect our Raspberry Pi to a speaker.

I get myself a USB speaker from Sim Lim Square which uses a “C-Media” chipset.. Now, I simply need to connect it to the Raspberry Pi.

[Image Caption: C-Media Electronics Inc. is a Taiwan computer hardware company building processors for audio devices.]

Next, we can use lsusb, as shown below, to display information about USB buses in Raspberry Pi and the devices connected to them. We should be able to locate the speaker that we just connect.

$ lsusb
Bus 001 Device 004: ID ... C-Media Electronics, Inc. Audio Adapter
Bus 001 Device 003: ID ...
...

Hence now we know that the USB speaker is successfully picked up by the Raspberry Pi OS.

We can then proceed to list down all soundcards and digital audio devices with the following command.

$ aplay -l
**** List of PLAYBACK Hardware devices ****
card 0: Headphones...
  Subdevices: 8/8
  Subdevices #0: ...
  ...
card 1: Set [C-Media USB Headphone Set], device 0: USB Audio [USB Audio]
  ...

Now we also know that the USB speaker is at the Card 1. With this info, we can set the USB speaker as the default audio device by editing the configuration file of ALSA, the Advanced Linux Sound Architecture. ALSA is used for providing kernel driven sound card drivers.

$ sudo nano /usr/share/alsa/alsa.conf

The following two lines in the file are the only lines we need to update to be as follows in the file. The reason we put “1” for both of them because the USB speaker is using card 1, as shown above. So the number may be different for your device. For more information about this change, please refer to the ALSA Project page about setting default device.

defaults.ctl.card 1
defaults.pcm.card 1

Finally, if you would like to adjust the volume of the speaker, you can use alsamixer. Alsamixer is an ncurses mixer program for use with ALSA soundcard drivers.

$ alsamixer

There is a very good article about setting up USB speaker on Raspberry Pi by Matt on raspberrypi-spy.co.uk website. Feel free to refer to it if you would like to find our more.

Next: The Web-Based Remote Control and OneDrive

Since now we’ve already successfully setup the music player on the Raspberry Pi, it’s time to move on to see how we can control it from a website and how we can access our personal OneDrive Music folder with Azure AD and Microsoft Graph.

When you’re ready, let’s continue our journey here: https://cuteprogramming.wordpress.com/2020/11/21/personal-onedrive-music-player-on-raspberry-pi-with-a-web-based-remote-control-part-2/.

References

The code of the music player described in this article can be found in my GitHub repository: https://github.com/goh-chunlin/Lunar.Music.RaspberryPi.

Controlling Raspberry Pi with Surface Dial

Last week, I got a Surface Dial from Riza Marhaban because the device looks cool.

Microsoft always produces cool products such as the Zune music player, Windows Mobile, Nokia Lumia phone, etc. However, most of them are discontinued and are now difficult to be found in the market. Even though I hope that Surface Dial won’t have a similar fate as them, I still decide to get one before anything happen to it.

If you are not sure what Surface Dial is, previously, I had shared in another blog post about how we could use Surface Dial in our UWP applications on Windows 10. I have also found a video, which I attach it below, about how people do amazing music with Surface Dial on Windows.

Using Surface Dial Outside of Windows

Many exciting examples online seem to show that we can only use Surface Dial on Windows. Well, that is not true.

Starting from Linux 4.19 released on 22nd October 2018, Surface Dial is supported. Fortunately, if we are using the standard Raspberry Pi OS update/upgrade process, the Linux kernel we have in our Raspberry Pi should be the latest stable version. So that means we can connect Surface Dial to, for example, our Raspberry Pi 3 Model B too.

I use Raspberry Pi 3 Model B as example here because that is the only one that I have now and I have previously set it up with the latest Raspberry Pi OS. Another reason of using Raspberry Pi 3 Model B is because it comes with built-in Bluetooth 4.1.

Pair and Connect Surface Dial to Raspberry Pi

After we SSH into the Raspberry Pi, we will use the bluetoothctl command to pair the Raspberry Pi with a bluetooth device which is a Surface Dial in this case.

$ sudo bluetoothctl

On a smart phone, for example, when we are pairing the phone with a Bluetooth device, we always need to go through an authentication where we will be prompted for a password or asked whether we would like to connect to the Bluetooth device. So how is that being done using bluetoothctl?

Within the bluetoothctl, we need to first register something called Agent. Agent is what manages the Bluetooth “pairing code” and we set the Agent to be the Default Agent.

[bluetooth]# agent on
Agent registered
[bluetooth]# default-agent 
Default agent request successful

Next, we will scan for the nearby Bluetooth devices with the following command. Since the Surface Dial is made by default discoverable, the device name “Surface Dial” is visible together with its Bluetooth address.

[bluetooth]# scan on
Discovery started
[NEW] Device XX:XX:XX:XX:XX:XX Surface Dial

Now we can then pair and connect to the Surface Dial using its Bluetooth address.

[bluetooth]# pair XX:XX:XX:XX:XX:XX
...
[bluetooth]# connect XX:XX:XX:XX:XX:XX
Attempting to connect to XX:XX:XX:XX:XX:XX
[CHG] Device XX:XX:XX:XX:XX:XX Connected: yes 

Now we have Surface Dial successfully connected to our Raspberry Pi. Yay!

Exploring /dev/input

The /dev directory contains all the device files for all the devices connected to our Raspberry Pi. Then we have an input subdirectory in /dev which holds the files for various input devices such as mouse and keyboard or in our case, the Surface Dial.

[Image Caption: The content of /dev/input on my Raspberry Pi.]

With so many event files, how do we know which events are for which input devices? To find that out, we just need to use the following command.

$ cat /proc/bus/input/devices

Then we will see something as follows. The following is the output on my Raspberry Pi.

 I: Bus=0003 Vendor=0d8c Product=000c Version=0100 
 N: Name="C-Media USB Headphone Set  "
 ...
 H: Handlers=kbd event0
 ...

 I: Bus=0005 Vendor=045e Product=091b Version=0108
 N: Name="Surface Dial System Multi Axis"
 ...
 H: Handlers=event1 
 ...
  
 I: Bus=0005 Vendor=045e Product=091b Version=0108
 N: Name="Surface Dial System Control"
 ...
 H: Handlers=kbd event2  
 ...

So based on the Handlers, we know that event1 and event2 bind to the Surface Dial.

Input Event Messages

The event binary messages are C structs, we need to be able to delimit individual messages and decode them. Unless you are, for example, using the beta test of the Raspberry Pi OS, normally we are recommended to use 32-bit OS for Raspberry Pi. On 32-bit platforms, the event messages have 16 bytes each. On 64-bit platforms, the event timestamp is 16 bytes and thus each event message has 24 bytes each.

[Image Caption: Event message size in 32-bit and 64-bit platforms.]

Reading Surface Dial Input Events with Golang

There are three basic actions we can do on Surface Dial, i.e. turn left, turn right, and click. Now we know that the events generated by these actions from Surface Dial can be found in the event1, so what we need to do is just to find a way to read device input events from /dev/input/event1.

There are many ways of doing that. There are online documentations on how to do it in Python with evdev and C# on .NET Core. I didn’t try them out. Instead what I try is to write a simple Golang application to process the event messages. In 2017, Janczer had successfully read and parsed the event messages with Golang.

However, Janczer was working on a 64-bit platform so today I’m going to share how to change the code to work on a Raspberry Pi running on a 32-bit OS.

package main
import (
"bytes"
"encoding/binary"
"fmt"
"os"
"time"
)
func main() {
f, err := os.Open("/dev/input/event1")
if err != nil {
panic(err)
}
defer f.Close()
b := make([]byte, 16)
for {
f.Read(b)
fmt.Printf("%b\n", b)
sec := binary.LittleEndian.Uint32(b[0:8])
t := time.Unix(int64(sec), 0)
fmt.Println(t)
var value int32
typ := binary.LittleEndian.Uint16(b[8:10])
code := binary.LittleEndian.Uint16(b[10:12])
binary.Read(bytes.NewReader(b[12:]), binary.LittleEndian, &value)
fmt.Printf("type: %x\ncode: %d\nvalue: %d\n", typ, code, value)
}
}

Now, when I turn or press on the Surface Dial, I will be able to see the output as shown in the screenshot below. I run the program three times so that I can easily demonstrate the outputs for turning Surface Dial clockwise, turning it counter-clockwise, and clicking it, respectively.

[Image Caption: Event messages sent from the Surface Dial to Raspberry Pi.]

With this, now it’s up to us to make the best out of the combination of Raspberry Pi and Surface Dial.

References