This is the HTTP address of the OCRCallback function which we will describe next plus the function key which provides the caller SmartOCRService the necessary authentication to call the function. If you find Application Insights is overkill for your projects then I would suggest having a look at the following documentation. As well as receiptQueueItem there are several other important parameters of this function, namely:.
All things Office and Bots
Eileen In A Doorway. Once signed up and signed in choose the Register a Bot tab.
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Saturday, 15 December If anyone's still following this and I don't know why you would be I've created a new blog Posted by Moggo23 at 1 comment: Email This BlogThis! Share to Twitter Moggysblog to Facebook Share to Pinterest. Tuesday, 8 May Update on the Moggysblog thingy, doesn't look like much of an improvement but I've gone over the skin with a texture brush.
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So here's the "finished" picture. Sunday, 29 April Yet another thing I've spent too much time doodling whilst I should be doing Uni work Older Posts Home. Subscribe to: Posts Atom.
Managing Authentication flow within Office Add-ins has just got a whole lot easier with the introduction of the new Office UI Dialog API. If you are new to developing O Add-ins then I would highly recommend you check out the Getting Started page of dev. There are reams of examples and samples to help you get up to speed with links to the Office SDKs and a Yeoman Generator for Office if Visual Studio is not your thing. With the latest Office developer tools installed open Visual Studio and choose File-New-Project.
Visual Studio will create 2 projects: an Office Project which contains the add-in manifest; a web project that contains the content for the add-in.
You can also register apps in the Azure Management Portal but the Office App Registration Tool allows you to register applications without having access to the Azure Management Portal. Feel free to give the app a name of your choice but the redirect URI must match what is shown above.
Copy this value as you will need it to complete the Office add-in solution. If you are getting started with bots then my advice is to start with one of the Hello World samples. For the purpose of this walkthrough I used the hello-ChatConnector. If you want to make sure your bot is working without having to register it first, try using the Bot Framework Emulator following these steps:.
Given the bot is being hosted on localhost now use ngrok to expose this port to the public internet. To do this simply type at a command prompt ngrok http You should the following UI:. You should notice that the emulator Url now shows as error! Once signed up and signed in choose the Register a Bot tab.
The form will guide you through the steps required to register the bot. Ensure you copy the Microsoft App ID and Password somewhere safe, you will need to add these to your Bot service code. For the Messaging Endpoint use the forwarding Url captured in 2 that you used as the Bot Url. Go back to the bot sample configured in step 1. You need to amend the app. Once you have saved the changes follow the steps in 1 and 2 to deploy your bot to your local server and then use ngrok to make it public to the internet.
To ensure the changes you have made still work, use the emulator to test — you will need to update the Microsoft App ID and Microsoft App Password with the values captured in step 3. And that is it…you have your first bot running locally being served to the public internet using ngrok and available to chat with using the Skype channel.
As a next step, you can debug your bot service within Visual Code using the steps described in here. If you are an Office developer then I encourage you to read this blog post by the Office team.
If your add-ins use custom panes and you are not yet considering ribbon add-ins then please read the important announcements contained within this blog.
Last week the Microsoft Office team announced the general availability of Excel REST APIs for the Microsoft Graph. With these new endpoints it is now possible to interact with your existing Excel Workbooks using REST from your mobile, desktop and web apps without the need to have to open the Excel app — pretty awesome eh?
Sometimes though, the built-in functions that come with Excel are not enough. Sometimes we need to build our own Excel calculations to support our own LoB reports and visualisations.
In this post I will demonstrate how you can re-use that functionality within your own modern day web and mobile apps. I then created a visual representation of the Excel Workbook in an ASP. So in this example we use the new Excel REST API to set the Excel Workbook named items, Bill Amount, Tip, and Number in Party.
The full source-code for my sample can be found be here. Please refer to the readme file for pre-requisites and how to configure the app based on your Azure and O accounts. One important note, the sample relies on the fact that you have an Excel workbook called RestaurantBillCalculator. If you want to start writing your own apps that use the Microsoft Graph then check out the following blog on how to get started with the Graph Excel REST API and as always, refer the Microsoft Graph API documentation for examples and syntax.
Before we get into the solution, if you want to try this for yourself you will need: An O Account with Flow and PowerApps enabled. To create the Flow Template, lets first start with the SharePoint List. Here is the SharePoint List: Just two columns: Title which by default is created when a new SharePoint list is created; Action which I have created as a Choice with two values Stop and Start. On editing the Flow Template you will be presented with the following flow: Remove the last two actions so that you only see the When a new item is created action.
For this I am going to use Azure Automation Runbooks : To create the Runbook log into the Azure Portal and open your Azure Automation Account. Your Graphical Runbook should then look something like this: Publish your Runbooks and try each of them out.
You can know use a mobile app to stop start your Azure VM. The scenario was simple: Upload Image. Extract Data from Image. Process Expense using extracted Data. The Expense Processing Function is an Azure Function that is triggered when a message is placed onto a specific Azure Queue Storage QueueTrigger.
When triggered the Azure Function creates a record in a table Azure Table Storage to track status and to store the success or failed state of the process. The Expense Processing Function hands off the actual processing of the image to another function. Like step 2, this is managed by placing a message on a queue which then triggers the Receipt Processing Function Azure Function.
At this point you may be wondering why there is a dotted line around the 3 boxes and it is named Smart Services. This is to suggest that these services are isolated, that they have no dependencies on any other service. This was a key ask by the partner because over time other apps, not just the Expense Processor, may need to call the receipt processing service. Once the processing had completed success or fail the Receipt Processing Function hands-off the result back to the calling application.
To ensure isolation as per step 5 the Receipt Processing Function simply hands-off using a callback URL as defined in the original message item. This callback Url endpoint is another Azure Function, denoted in the diagram as Processing Callback Function whose trigger this time is a HttpTrigger.
The purpose of Processing Callback Function is to update the state the Receipt Processing Function. It does so by updating the table record that was created as per step 3.
The Processing Callback Function also adds another message to the Expenses Queue, which in turn will again trigger the Expense Processing Function. This step is optional, but allows the Expense Processing Function to do any post-processing such as notifying a user that there expense has been processed. The Solution All the code I describe in this blog post can be found on GitHub. Looking at the contents of ExpenseProcessor.
As well as receiptQueueItem there are several other important parameters of this function, namely: receiptsTable — this is an Azure Storage Table which provide tracking status and ultimately the output of the OCR request.
Note, rather than sharing this blob with the SmartOCRService, this function generates a Shared Access Signature SAS which the OCR service then uses. This removes a dependency on the SmartOCRService thus allowing multiple blob stores and therefore multiple requestors. Step 0 in the case statement is responsible for the primary activity of this function and is the the one that provides the SmartOCRService with the necessary information so that it can process the image: The method StartOCR … is responsible for creating a new message queue item of type OCRQueueMessage.
This is the HTTP address of the OCRCallback function which we will describe next plus the function key which provides the caller SmartOCRService the necessary authentication to call the function. This can be one of 3 levels: function default , anonymous, and admin. For the purpose of the OCRCallback function the auth level has been set to function function is useful when the function is only called from another service and there is usually no user-interaction.
Setting the auth level to function means that on each request the requestor must provide a key. This key can be found in the OCRCallback function manage tab as shown below.
BaseCallbackAddress — this is Url of where the OCRCallback function is hosted. Now looking at the contents of the function OCRCallback found in OCRCallback. SmartOCRService The contents of the smart-services folder contains a Visual Studio Preview 2 solution called SmartOCRService with one Azure Function called SmartOCRService.
The method MakeOCRRequest is responsible for calling out the OCR service and then determining how to handle the response: Key thing to note within this function: As the function is dependent on the OCR Service being available it needs to handle the exception when the service is unavailable.
Application Monitoring The final requirement the partner had was being able to monitor their Azure Functions. The scenario we are going to cover is simple. Ask a bot to notify me when an order is despatched To follow the steps in this post you will need: Microsoft Azure Account. Registered as a user on the Microsoft Bot Framework Visual Studio or greater Here is an overview of the general architecture you will be building: You can find all the code you need in my GitHub here.
Building and Registering the Bot. To use this code you must: First decide where to publish your bot. If you are using Visual Studio then an easy way to do so is to right-click the project and choose publish. From here you can choose to publish directly to Azure. If you require additional help deploying your app then I encourage you to look at this resource.
Please make a note of the website url — you will need this in the next step. Next, register your bot in the Microsoft Bot Framework. Full instructions on how to do this can be found here. You should make a note of the Bot Handle, Microsoft App ID and the Microsoft App Password auto generated as you will need these values for the next step. Back in Visual Studio project update the web. Next, configure an Azure Storage Account. This Storage Account will be used for both the Table Storage and Queues.
Once created you will need the Storage Account connection string. Finally, rebuild the solution and re-publish. You can test the bot works either by adding your Bot to your favourite channel such as Skype, Slack, or Teams or by using the web chat pane — both options can be found in the My bots choose your bot menu option in the Microsoft Bot Framework portal.
Creating the Azure Functions Azure functions allow you to develop and deploy small pieces of code in the language of your choice and in the cloud without setting up infrastructure.
As well as being a great getting started it will also introduce you to working with Azure Queues which form the basis of our solution As per the general architecture diagram above, will need to create 2 Azure Functions: one to capture the subscription posted from the Bot and another to capture the back office event being completed.
So looking at each one in turn: Subscription Trigger This function is triggered when a new Queue Message is added to an Azure Queue. Event Trigger Like the previous function, this function is triggered when a new Queue Message is added to an Azure Queue.
Pulling it altogether! Using the Bot Channel of your choice, for illustration purposes I have configured Skype, type an order number in the format XXXX, e.
Now run the DeleteMeClient console app and when prompted for an order number enter The bot will respond to you letting you know the order has despatched: Try extending this simple scenario by subscribing to the same order but in a different channel, e. What if the user wants to act on the notification they have been sent? We can solve this problem using Scorable Dialogs: Scorable dialogs monitor all incoming messages to a bot and decide if they should try to handle a message.
What about the disruption to the conversation flow? The user then starts a dialog with the bot unrelated to orders being despatched: In the middle of this conversation, the bot responds with the notification that order has been despatched. I have sleep apnea and may already have brain damage from it.
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Even looking back at my older works the pics no longer have an effect on me. I don't think using a machine while I sleep is really going to help. Wow at least you tried. Look after yourself my friend. Thanks for all the caps. Had sleep apnea. Used the machine it helped me extend my life.
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