Saturday, 30 November 2024

How to Trigger a Microsoft Flow from a Custom Button in Dynamics 365

 When using Microsoft Flow the out-of-the-box button is nested under the ‘Flow’ section and is not easy to find nor is it customizable. Triggering the flow using a ‘Flow Button’ makes the button appear under the ‘Run Flow’ branch which is a nested button that is unintuitive for users.

It is much nicer to have your own customized button to trigger a flow and to do this is surprisingly easy.

image

Creating a Button in Dynamics 365

I created my button using the Ribbon Workbench which calls a command. We’ll go into detail what this command does later on. Here’s my button.

image

Create your Flow

Below is the flow I want to call from the button in Dynamics 365. As you can see there’s a trigger that says ‘When a HTTP request is received’. Once saved the URL will generate for this endpoint and you can define a JSON object that will be received by the Flow. In this example I’m passing through a ‘path’ to the ‘Create File’ method. We’ll keep this blog on the topic of calling Flows from a Dynamics 365 but there’s plenty of information out there on how passing parameters to Flow works. The Flow is simply going to create a File under the path and then send a response with an object.

image


JavaScript

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sendFlowRequest = function () {
    var pathObj = { "path": "/Account/" };

    parent.$.ajax({
        type: "POST",
        url: "https://prod-14.australiasoutheast.logic.azure.com:443/workflows/d5035afc26d740be9c5387da88a06749/triggers/manual/paths/invoke?api-version=2016-06-01&sp=%2Ftriggers%2Fmanual%2Frun&sv=1.0&sig=CJeWFL357zMMIcUKsGu-464rhyfz765BLqOzWhrNm5o",
        contentType: 'application/json',
        data: JSON.stringify(pathObj),
        success: function () {
            alert("success");
        }
    });
}


Above is the code I used to call my Microsoft Flow. The code passes through a ‘pathObj’ which is the object that the request endpoint created in Flow is expecting. The Flow will now create a File under the ‘/Account/’ path.

Response

image

There you have it, using the out of the box way of calling Microsoft Flow’s from the ‘Flow Button’ should not be defaulted to because calling it from your own custom button is surprisingly easy.

Virtual entities revisited: setting up a virtual entity

 In the previous post, I blogged about how useful virtual entities can be when integrating external data with Dataverse, and how we can take that integration even further by adding CRUD support through an embedded canvas app.

But there was a teaser video and no technical details, so, in this post, I’ll talk about setting up the virtual entity and custom provider. In the next post, I’ll talk about the embedded canvas app.

Just to recap, the idea would be to get data from SQL, do surface it in Dataverse as a virtual entity, and, also, to allow at least basic search functionality directly in Dataverse over that entity:

image 

Here is the summary of what needs to be done:

  • Create a virtual entity and define all the fields
  • Create a custom data provider for that virtual entity
  • Configure a virtual entity data source
  • Connect virtual entity to the newly configured data source

Let’s do it.

But, first, let’s set up a SQL database and create a table with some data there.

That database has to be on the server that’s accessible from the plugin. In my case, I just used an Azure SQL database.

And here is the script:

CREATE TABLE ITAExternalContact
(
   Id uniqueidentifier primary key,
   FirstName nvarchar(50), 
   LastName nvarchar(50),
   Email nvarchar(255)
);


INSERT INTO ITAExternalContact
(id, firstname, lastname, email)
values
( newid(), 'Gandalf', 'The Gray', 'gandalfthegray@test.com');

INSERT INTO ITAExternalContact
(id, firstname, lastname, email)
values
( newid(), 'Frodo', 'Baggins', 'frodobaggins@test.com');
INSERT INTO ITAExternalContact
(id, firstname, lastname, email)
values
( newid(), 'John', 'Doe', 'johndoe@test.com');
INSERT INTO ITAExternalContact
(id, firstname, lastname, email)
values
( newid(), 'Santa', 'Claus', 'santaclaus@test.com');

With that done, let’s get back to the Dataverse side.

1. Setting up the virtual entity

This part is very straightforward. It seems we still have to use classic designer for the virtual entities, but, other than that, you just need to create a new entity and mark it as a virtual entity:

image

We are going to use our own custom provider, so I’m not sure it’s important what you put into the “External Name” and “External Collection Name”, but, as you can see above, those fields are mandatory, and I put some values there. Have not used them anywhere else, though.

Leave “Data Source” empty for now.

This entity is going to have 5 fields:

image

Basically, those fields correspond to the SQL columns (they don’t have to – the mapping is done in the custom provider anyway). And the “name” field is there for any entity.

Below is a screenshot for the “First Name”:

image 

All other fields are set up in the same way. Again, when using a custom provider,  “External Name” does not have to be populated.

As with any entity, it might be a good idea to configure some views, so I added those columns to the view below:

image

Last but not least, don’t forget to add that entity to a model-driven application so you could see your entity somewhere:

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Save, publish all, make sure the application is there and the entity is there.

Just don’t expect it to work yet – we still have not defined the data source. If you try lookin at the entity data at this point, you’ll get an ugly error message. Which is fine, just keep moving on.

2. Setting up the data provider

For this step, there is a good article at the docs site that covers the basics Sample: Generic virtual entity data provider plug-in

We will need a bit more, though, but let me summarize how it works first.

  • There is a plugin that works on RetrieveMultiple and on Retrieve
  • That plugin is working in stage 30
  • We only need to register the plugin – there is no need to register the steps. It’ll happen automatically when registering a data provider
  • For most of the registration steps, we’ll be using plugin registration tool

And here are a couple of observations, btw:

  • Stage 30 will always get “Query” as a QueryExpression. Even if the original query came in as a Fetch. This is different from Stage 20, where that query would still be in Fetch format. This is why we don’t need to convert one format to another in stage 30
  • We’ll need this plugin to support basic search, and, for that, do not forget to go back to the virtual entity configuration and add some fields to the “Quick Find” view. You can do it now or later, but make sure you do it

With that, here is “Execute” method of my plugin:

image

I did put Retrieve and RetrieveMultiple into the same plugin for this example, but, of course, you might want to have two different plugins instead.

Turned out handling that keyword is a bit tricky, but, in the end, the code above worked (sometimes, leading “%” is surrounded by square brackets).

Note: once again, don’t forget to add some columns to the Quick Find view for your entity, or there would be no conditions in the query:

image

And back to the plugin again.

Once there is a keyword (or a guid), the rest is all about loading that data from SQL:

image

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Why am I using TOP 3? Well, for this proof of concept, I have 4 rows in the table, and I wanted to show that I can

  • Control how much data is displayed
  • No matter how much data is there in SQL and how much data is displayed, I can search on all that data and display top 3 matches

There is a sql connection part there, so you’ll need to define your own connection string:

image

Once you’ve built the plugin, open PluginRegistration tool and register the assembly:

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You don’t need to add any steps.

The, register the data provider. While registering the data provider, you’ll also need to register the data source:

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Once it’s done, you’ll see those registrations in the Plugin Registration tool:

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Finally, link your virtual entity to the new data source:

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Unless I forgot some of the steps, at this point you can save your changes, publish everything, and do a test run.

You should be able to see virtual entities data in the model-driven app:

image

You should be able to do basic search on that data:

image

And you should be able to open each individual record, although, at this point those records will be read-only.

In the next post, I’ll use an embedded canvas app to add “update” functionality.

Comments

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Things to know - pl 200

Power apps notes pl 200

  Change tracking is used to maintain information on what has changed in a table to synchronize with an external system.

Duplicate detection rule: the user can skip and save the record. but if we set an alternate key then we cant save- 

Virtual tables require configuration of a data provider.


send email button press try on cloud flow Link while pressing button using Collect(People, {Id:Id.Text, FirstName:FirstName.Text, LastName:LastName.Text}) If the data source doesn't already exist, a collection is created. if u use collect if current value Id.Text already in people collection is lastname and firstname will not be automatically updated. * Bound action: Bound actions target a single table or a set of rows from a single table. Unbound actions. Unbound actions aren't bound to a table and are called as static operations. Unbound actions are performed on the entire environment, not on specific tables or rows. Set(AgeGroups, ["1-25", "26-54", "55+"]) //set creates global variable and can be use everywhere in app we use set for "updating" global variable and not update function. the above AgeGroup is not a collection. You create GLOBAL variables using Set function, you create CONTEXT variables using UpdateContext function or with Navigate, depending on the situation. The created structure is a Table, which you could also create using the Table function. In order to create a collection, you must call Collect or ClearCollect. To create the site map for the app> add a area>group>sub area @condition(item, value) @GreaterOrEquals(TriggerEmail()?['OverdueDate']: '7') learn later on layers and this https://learn.microsoft.com/en-us/power-platform/alm/segmented-solutions-alm Change tracking is used to maintain information on what has changed in a table to synchronize with an external system. For columns and table only auditing can be enabled.

How to Trigger a Microsoft Flow from a Custom Button in Dynamics 365

  When using Microsoft Flow the out-of-the-box button is nested under the ‘Flow’ section and is not easy to find nor is it customizable. Tri...