Push Notifications and Buttons with Microsoft Flow: Part 3

In part 1 we crated a Flow to enable/disable the sending of push notifications and in part 2 we created an Azure Function to generate random phrases of positivity.

In this third and final part of this series we’ll go and create the second Flow that sends the push notifications to the phone.

This Flow will be automatically triggered every 15 minutes by using a Recurrence action followed by an action to get the blob content containing whether or not we should send a notification as the following screenshot shows:

Running a Microsoft Flow every 15 minutes

Now that we have the blob content, we can examine it in an If condition. If the content of the blob is “enabled” we can continue the Flow:

If condition in Microsoft Flow

If the condition is satisfied (“IF YES”) two actions are  performed: the first an HTTP GET to the Azure function, the second a push notification action that as content uses what was returned in the body of the HTTP GET. Notice in the HTTP GET, the URI includes the function authorization key as a query string parameter.


After saving the new Flow, we can head back to the Flow app and hit the button to enable “positivity pushes”:

Microsoft Flow iOS app button

Then every 15 minutes (until we turn them off by hitting the button again) we’ll get a positivity notification on the phone:

iOS push notifications from Microsoft Flow


Push Notifications and Buttons with Microsoft Flow: Part 2

In part 1 we created a Flow to toggle the sending of push notifications on and off by storing the configuration in Azure blob storage.

Now that we have a way of enabling/disabling notifications we can start to build the second Flow.

Before jumping into the Flow designer, we need to consider how to generate random positivity phrases and how to integrate this into the second Flow. One option to do this is to create a simple Azure Function with an HTTP trigger. The Flow can then use an HTTP action to issue a GET to the server that will return the string content to be sent via push notifications.

In the Azure Portal function editor a new function can be created with a HTTP trigger configured to GET only as the following screenshot shows:

Creating an Azure Function with a HTTP trigger

Notice in the preceding screenshot the authorization level has bee set to “function”. This means the key needs to be provided when the function is called.

We can now write some code in the function code editor window as follows:

using System.Net;

public static HttpResponseMessage Run(HttpRequestMessage req, TraceWriter log)
    log.Info("C# HTTP trigger function processed a request.");

    string phrase = GeneratePhrase();

    return req.CreateResponse(HttpStatusCode.OK, phrase);

public static string  GeneratePhrase()
    var phrases = new string[]
        "Don't worry, be happy :)",
        "All is well",
        "Will it matter in 100 years?",
        "Change what you can, don't worry about what you can't"

    var rnd = new Random();
    return phrases[rnd.Next(phrases.Length)];

Azure Function code editor window

Clicking the Run button will test the function and we can see the random phrases being returned with a 200 status as shown in the following screenshot:

Azure function HTTP test output

In the final part of  this series we’ll go and create the second Flow that uses this function and the configuration value created in the previous article to actually send random positivity push notifications on a 15 minute schedule.

To jump-start your Azure Functions knowledge check out my Azure Function Triggers Quick Start Pluralsight course.


Push Notifications and Buttons with Microsoft Flow: Part 1

Microsoft Flow allows the creation of serverless cloud workflows. It is similar to services such as If This Then That and has more of a business focus. It allows custom Flows to integrate with Azure services such as blob storage, the calling of arbitrary HTTP services, in addition to a whole host of services such as Facebook, Dropbox, OneDrive, etc.

In addition to executing in the cloud, Flows can create push notification to the Flow app on iOS and Android.

Once installed, the Flow app can be used to design/edit Flows, view Flow activity/recent executions, and initiate the execution of flows via “buttons” as shown in the following screenshot.

Microsoft Flow iOS app

Tapping this software button will trigger the Flow in the cloud.

Example Scenario

To see buttons and push notification in action, imagine a scenario where sometimes you want cheering up with regular messages of positivity.

In this scenario, when enabled, you’ll get a push notification on your phone every 15 minutes with a random positive phase such as “Don't worry, be happy :)”.

To accomplish this two separate (but related) Flows can be created. The first Flow uses a button in the phone Flow app to toggle wether the “positivity pushes” will be sent. The second Flow is triggered automatically every 15 minutes and if enabled, sends a push notification.

Creating the Toggle Positivity Push Flow

This Flow will enable/disable the push notifications. To do this, a manual button trigger will be added to the Flow that will be pushed on the phone. To hold the enabled/disabled state, we can use the content of a blob in Azure blob storage. When triggered, the Flow will retrieve the content of the blob which can be the string “enabled” or “disabled”.

Microsoft Flow reading content from blob storage

Once the blob content has been retrieved, its content can be examined in a If condition. If the content of the blob is currently “enabled” it will be updated to “disabled” and vice versa. Finally we’ll send a push notification to confirm the state.

Microsoft Flow examining blob content

Pressing the button in the app a couple of times results in the expected push notifications:

Microsoft Flow sending push notifications to iOS

The blob content also gets toggled as expected:

Blob content being toggled from Microsoft Flow

In part 2 of this series we’ll start the process of creating another Flow to actually send the random positivity phrases to the phone.


Screen Scraping As A Service with Azure Functions in 5 Mins

If you have some data in a web page but there is no API to get the same data, it’s possible to use (the often brittle and error prone) technique of screen scraping to read the values out of the HTML.

By leveraging Azure Functions, it’s trivial (depending on how horrendous the HTML is) to create a HTTP Azure Function that loads a web page, parses the HTML, and returns the data as JSON.

The fist step is to create an HTTP-triggered Azure Function:

Creating a new Azure Function with a HTTP Trigger

To help with the parsing, we can use the HTML Agility Pack NuGet package. To add this to the function, create a project.json file and add the NuGet reference:

Using NuGet Packages in Azure Functions

  "frameworks": {
      "dependencies": {
        "HtmlAgilityPack": ""

Once this file is saved, the NuGet package will be installed and a using directive can be added: using HtmlAgilityPack;

Now we can download the required HTML page as a string, in the example below the archive page from Don’t Code Tired, use some LINQ to get the post titles, and return this as the HTTP response. Correctly selecting/parsing the required data from the HTML page is likely to be the most time-consuming part of the function creation.

The full function source code is as follows. Notice that there’s no error checking code to simplify the demo code. Screen scraping should usually be a last resort because of its very nature it can often break if the UI changes or unexpected data exists in the HTML. It also requires the whole page of HTML be downloaded which may raise performance concerns.

using System.Net;
using HtmlAgilityPack;

public static async Task<HttpResponseMessage> Run(HttpRequestMessage req, TraceWriter log)
    HttpClient client = new HttpClient();

    string html = await client.GetStringAsync("http://dontcodetired.com/blog/archive");    

    HtmlDocument doc = new HtmlDocument();
    var postTitles = doc.DocumentNode
                        .Where(x => x.Attributes.Contains("class") && x.Attributes["class"].Value.Contains("title"))
                        .Select(x => x.InnerText);

    return req.CreateResponse(HttpStatusCode.OK, postTitles);

We can now call the function via HTTP and get back a list of all Don’t Code Tired article titles as the following Postman screenshot shows:

Using Postman to call Azure Functions

To jump-start your Azure Functions knowledge check out my Azure Function Triggers Quick Start Pluralsight course.


Azure HTTP Function Authorization with Function Keys

When creating an Azure Function triggered via HTTP, one way to authorize use of the function is to configure the HTTP function trigger to require the caller to provide a function key.

Azure Function HTTP Trigger Authorization Modes

With the authorization set to Anonymous, as expected anyone can call it.

When set to Function Authorization, the caller needs to provide the function key either as a URL query string parameter or in a header.

The function key can be found by navigating to Manage tab as the following screenshot shows:

Finding the Azure Function Key

Once Function Authorization is enabled, if the client does not provide it correctly the function will return a 401 Unauthorized.

To supply the function key in the URL, the “code” query string parameter can be used, e.g. “https://myazurecloudfunctions.azurewebsites.net/api/SayHi?code=udXhf3pviSICFMtViW/pqmV/1Q5vLH5aMcRWXfD/q6NXk2VVxRlfYw==”.

Alternatively an “x-functions-key” header can be added containing the key as the following Postman screenshot shows:

Calling Azure Function with Postman and Function Key

To jump-start your Azure Functions knowledge check out my Azure Function Triggers Quick Start Pluralsight course.


Creating a Tweet Buffer with Azure Queues and Microsoft Flow

There are apps and services that allow the scheduling or buffering of the sending of Tweets. Using the features of Microsoft Flow, it’s possible to create a solution that allows Tweets to be quickly created as simple text files in a OneDrive folder and these will then be buffered to be sent every 15 minutes (or whatever schedule you fancy). The actual buffering mechanism used below is an Azure Queue.

There are two Flows as part of this solution: Flow 1 to pick up text files from OneDrive, extract the content and write a new message to an Azure Queue. Flow 2 runs on a schedule, picks a message off the queue, grabs the message content and sends it a s a Tweet.

Flow 1: Queuing Tweets

The first step is to create an Azure Storage account and create an Azure Queue. The easiest way to create a new queue is to use the Azure Storage Explorer. Once installed and connected, creating a queue is a simple right-click operation:

Using Azure Storage Explorer to create a new Azure Queue

We’ll call the queue “tweet-queue”.

We’ll also create OneDrive folders: OneDrive\FlowDemo\TweetQ\In

Now we can create a new Flow that grabs files from this path and adds them to tweet-queue as the following screenshot shows (notice we're also deleting the file after adding to the queue):

Microsoft Flow reading a file from OneDrive and adding to Azure Queue

Now if we create a .txt file (for example with the content “Testing - this Tweet came from Microsoft Flow via OneDrive and an Azure Queue” in the OneDrive\FlowDemo\TweetQ\In directory, wait for the Flow to run and check out the queue in Storage Explorer we can see a new message as the following screenshot shows:

Azure Storage Explorer showing Azure Queue message content

Now we have a way of queuing Tweets we can create a second flow to send them on a timer.

Flow 2: Sending Tweets

The second Flow will be triggered every 15 minutes, grab a message from the queue, use the message body as the Tweet content, then delete the message from the queue.

The following screenshot shows the first 2 phases:

Getting Azure Queue messages on a timer

Even though we’ve specified 1 message, when we add the next action in the Flow, we’ll automatically get an “Apply to each” added as the following screenshot shows:

Posting Tweet from Azure Queue

Notice in the preceding screenshot that we also need to add an action to delete the message from the queue.

Now once we save this Flow, every 15 minutes a message will be retrieved and posted as a Tweet:


Serverless Computing and Workflows with Azure Functions and Microsoft Flow

Microsoft Flow is a tool for creating workflows to automate tasks. It’s similar in concept to If This Then That but feels like it exists more towards the end of the spectrum of the business user rather than the end consumer – though both have a number of channels/services in common. Flow has a number of advanced features such as conditions, loops, timers, and delays.

Flow has a number of services including common ones such as Dropbox, OneDrive, Twitter, and Facebook. There are also generic services for calling HTTP services, including those created as Azure Functions. Essentially, services are the building blocks of a Flow.

Screenshot of Microsoft Flow Services

Once the free sign up is complete you can create Flows from existing templates or create your own from scratch.

Screenshot of Microsoft Flow pre-built templates

To create a new custom Flow, the web-based workflow designer can be used.

Integrating a Flow with Azure Functions

In the following example, a Flow will be created that picks up files with a specific naming convention from a OneDrive folder, sends the text content to an Azure Function that simply converts to uppercase and returns the result to the Flow. The Flow then writes out the uppercase version to another OneDrive folder.

Reading Files From OneDrive

The first step in the Flow is to monitor a specific OneDrive folder for new files.

A Flow triggered by new OneDrive files

As an example of conditions, an “if statement” can be added to only process files that contain the word “data”:

Microsoft Flow condition

Now if the filename is correct we can go ahead and call an Azure Function (or other HTTP endpoint).

Calling an Azure Function from Microsoft Flow

Now that we are reading specific files, we want to call an Azure Function to convert the text content of the file to upper case.

The following code and screenshot shows the function that will be called – this code is stripped down and doesn’t contain any error checking/handling code for simplicity:

Azure Function app screenshot

using System.Net;

public static async Task<HttpResponseMessage> Run(HttpRequestMessage req, TraceWriter log)
    log.Info($"C# HTTP trigger function processed a request. RequestUri={req.RequestUri}");

    dynamic data = await req.Content.ReadAsAsync<object>();
    string text = data.text;

    return  req.CreateResponse(HttpStatusCode.OK, text.ToUpperInvariant());

We can test the API in Postman:

Calling Azure Function from Postman

Now that we have a working function we can add a new action of type “HTTP” to the Flow and pass the contents of the OneDrive file as JSON data in the request. The final step is to take the response of calling the Azure Function and writing out to a new file in OneDrive as the following screenshot shows:

Calling Azure Function passing OneDrive file content as JSON data

Now we can create a file “OneDrive\FlowDemo\In\test1data.txt”, the Flow will be trigged, and the output file “OneDrive\FlowDemo\Out\test1data.txt” created.

Output file

Microsoft Flow also has a really nice visual representation of runs (individual executions) of Flows:

Microsoft Flow run visualization

Microsoft Flow by itself enables a whole host of workflow scenarios, and combined with all the power of Azure Functions (and other Azure features) could enable some really interesting uses.

To jump-start your Azure Functions knowledge check out my Azure Function Triggers Quick Start Pluralsight course.


Sending a Regular SMS with Azure Functions and Twilio

Azure Functions allow the creation of Serverless event driven applications with minimal effort. We can create Azure Functions using C# (or other languages) right inside the Azure Web app.

Functions sit inside a function app and each function can be configured to be executed in response to a number of triggers such as a BlobTrigger, EventHubTrigger, etc. One of the triggers is the Timer trigger that can be configured to execute the function on a specified schedule.

To get get started, once you’ve created an Azure account and logged in, head to http://functions.azure.com/ and this will allow a quickstart experience to develop your function (you may be asked to create a new Function App as a container for your functions so go ahead and follow the prompts to do this).


Click “Create this function” and you’ll be taken to the editor.


In the code section (within the Run method) we can write code that is executed when the function executes.

Clicking on the Integrate tab allows the specification of the schedule in CRON format.


To have the function execute every five minutes we would specify: 0 */5 * * * *

A function can have Outputs, one of which is a Twilio output. At the time of writing this is in an early beta/experimental phase and I couldn’t get it to work correctly. However because we can write C#, we can send an SMS by using the Twilio REST API. You need to sign up for a Twilio trial account and this will give you a Twilio AccountSID and an authorisation token.

Click the Develop tab and add the following code (using your Twilio SID and auth token):

using System;
using Twilio;

public static void Run(TimerInfo myTimer, TraceWriter log)
    log.Info($"C# Timer trigger function executed at: {DateTime.Now}");    

    string accountSid = "YOUR SID HERE";
    string authToken = "YOUR TOKEN HERE";

    var client = new TwilioRestClient(accountSid, authToken);

            "+614xxxxxxxx", // Insert your Twilio from SMS number here
            "+614xxxxxxxx", // Insert your verified (trial) to SMS number here
            "hello from Azure Functions!" + DateTime.Now            

(+614 is the dialling code for Australian mobiles so you should replace this with whatever makes sense for the Twilio account phone numbers you’ve created.)

Click Save and you’ll get some compilation errors because we haven’t yet added the Twilio NuGet package to be used by our code.

Click the View Files link under the code editing window and add a new file (by clicking the plus icon). Add a file called project.json with the following content:


Click Save and in the logs section you should see the package installed:


Now every five minutes you’ll get a text message sent!


Just remember to disable/delete the function or you will continue to get messages sent. You can do this by clicking on the Manage tab and choosing the appropriate option:



Introducing JS Name-O-Tron – Find a Name for Your JavaScript Library

As a Microsoft MVP I get free Azure credits to use every month, so I thought I’d better start making use of them :)

screenshot of JS Name-O-Tron application on Azure

JS Name-O-Tron is the first web site I’ve deployed to Azure and I’m pleased to say it was crazy-easy :)

It generates a random word and adds “.js” to it – you can then check if there’s an existing library with that name (GitHub, CodePlex, and NuGet).

I used Visual Studio 2013 to create a new ASP.Net application and chose MVC (v5) which resulted in a Bootstrapped site with a default Home controller and views.



Scholar Open Source Project

Scholar is now up on Codeplex. Scholar is a new open source project that will provide a starting point for developers to create distributed data processing such as the SETI@home project. It will use Azure to enable scalability and allow independent developers to get started without needed there own data centres. It's hoped that eventually it might be used to enable large medical and scientific data to be processed.