flow

CDS, Microsoft Flow and DateTime formats

Natraj Yegnaraman , ,

EDIT (7/12): You can download the Flow from https://1drv.ms/u/s!AvzjERKFC6gOwCqKnnAvMZA6mDsW if you just want to jump straight into exploring the actual Flow, instead of reading the article.

DateTime and Timezones seem to be the flavor of the month, so I thought I will take a crack at the problem as well. Coming from CRM background and spending a lot of time fiddling around the internal schema to understand the plumbings I came up with the following approach which I believe is decoupled and flexible.

In CDS, there is an entity called “UserSettings”, which stores a whole bunch of information regarding the user preferences. If you have used the awesome XrmToolBox tool called “UserSettings Utility”, you would remember this screen.

Timezone.png

Formats

The “UserSettings” entity is the source of this information. So, why not use the same for managing the timezones and datetime formats?

For re-usability, I want to create a Flow that just returns me the timezone information based on the executing user. Here is how it looks.

Get Timezone and Formats.png

Let us understand this step by step.

Step 1:

This is the HTTP trigger, which can take in a parameter for activedirectoryguid. This is the unique identifier for the Office 365 user.

Step 1.png

Step 2:

Get the Office 365 profile of the current user. If the activedirectoryguid is not passed in step 1, the intention is to use the current user’s Office 365 information.

Step 2.png

Step 3 & 4:

Initialise the activedirectoryguid variable, and query the CDS entity “Users”, and retrieve the user that matches the activedirectoryguid.

Step 3 and 4.png

Since activedirectoryguid can be passed on the trigger as well, I use the following coalesce expression, to set the variable to either the passed value on the trigger or from the Office 365 profile in step 2. This is the expression.

coalesce(triggerBody()?['activedirectoryguid'],body('Get_my_profile_(V2)')?['id'])

Step 5 & 6:

Retrieve “User Settings” entity and the associated “Time Zone Definitions” record based on the user’s timezone.

Step 5 and 6.png

The filter for User Settings is

first(body('Get_System_Users')?['value'])['systemuserid']

The filter for Time Zone Definitions is

first(body('Get_User_Settings')?['value'])['timezonecode']

Step 7:

This is the last step, where we return all the format and timezone information.

Step 7

Below are the expressions for the returned properties:

timezone

first(body('Get_User_Timezone')?['value'])['standardname']

dateformat

replace(first(body('Get_User_Settings')?['value'])['dateformatstring'],'/',first(body('Get_User_Settings')?['value'])['dateseparator'])

timeformat

replace(first(body('Get_User_Settings')?['value'])['timeformatstring'],':',first(body('Get_User_Settings')?['value'])['timeseparator'])

dateseparator

first(body('Get_User_Settings')?['value'])['dateseparator']

timeseparator

first(body('Get_User_Settings')?['value'])['timeseparator']

Now let us look at some sample output. For a user located in US, here is how the output of the Flow looks like.

US Output

Compare this with someone who is in Australian timezone.

Australia Output

Since this Flow now contains the logic for getting the formats and timezones, it can be utilised for another Flow that needs this information. For example look at the sample Flow below

Calling Flow

Calling Flow1

Below is the expression, I use to convert the “createdon” returned by the CDS Get Record, step which returns the datetime in UTC.

convertFromUtc(body('Get_record')?['createdon'],body('Parse_JSON')?['timezone'],concat(body('Parse_JSON')?['dateformat'],' ',body('Parse_JSON')?['timeformat']))

If you compare this Flow output and the record properties from Dynamics 365, it becomes obvious that the datetime and format is correctly displayed. Note that the CDS connector returns the datetime in UTC.

Output

CRM Record Properties

Initially I wanted to call the Flow that returns the formats and timezone using the “Start Flow” action on the Flow Connector, but it doesn’t seem to be picked up the response, so I had to resort to the whole HTTP action, which is not ideal.

It seems “Start Flow”, simply enables the Flow, does not actually run the Flow. Not sure why it is named in a misleading way.

Hope this is helpful.

 

 

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Using Flow to notify solution imports

Natraj Yegnaraman , ,

EDIT (20/12/2018): I updated my Flow and made some improvements. You simply have to set the Timezone on the triggering action and you are all set. The Flow will email the solution list, to the user running the Flow. The download link has been updated to point to the updated solution.

I would not call it sneaky, but sometimes when I find the Dynamics 365 CE UI or behaviour has changed slightly, I can attribute it to some update that was applied to the environment. There are email notifications for major updates, but none for minor updates or patches that can happen frequently. So, I decided to solve this problem using Flow.

Every solution import into the system causes an Import Job record to be created. If a Flow can be scheduled to run everyday, and query the Import Job records that were started the previous day, we can easily keep track of what is happening in the environment.

The first step is to trigger the Flow on a preset schedule, and read the Import Job records.

Import Job Flow.png

Below are the expressions that I use for the boundary dates:

  • addDays(convertFromUtc(utcNow(),’AUS Eastern Standard Time’), -1, ‘yyyy-MM-dd’)
  • convertFromUtc(utcNow(),’AUS Eastern Standard Time’,’yyyy-MM-dd’)

The next step is to pick up only the information we need from the returned result, and project it to a form that is conducive for email.

Import Job Compose

With the exception of Solution Name, all the other properties are retrieved from the XML on the Data property. Below are the formula’s for those:

  1. Publisher – xpath(xml(items(‘Parse_Import_Job_XML_and_re-map’)?[‘data’]),’string(//Publisher/Descriptions/Description[1]/@description)’)
  2. Started On – convertFromUtc(items(‘Parse_Import_Job_XML_and_re-map’)?[‘startedon’],’AUS Eastern Standard Time’,’dd-MM-yyyy HH:mm:ss’)
  3. Old Version – xpath(xml(items(‘Parse_Import_Job_XML_and_re-map’)?[‘data’]),’string(//upgradeSolutionPackageInformation/fileVersion)’)
  4. New Version – xpath(xml(items(‘Parse_Import_Job_XML_and_re-map’)?[‘data’]),’string(//upgradeSolutionPackageInformation/currentVersion)’)

The last few steps are to email out the results, if any solutions were imported the previous day.

Email Solution.png

Email Step.png

The result is a barely formatted table, with the list of solutions that were imported the previous day.

Solution Import Email

With this approach, no one can sneak up a solution import on you. You have visibility over what is going on in the system.

You can download and install the Flow solution from https://1drv.ms/u/s!AvzjERKFC6gOwC24012ncrls0z5f

Hope this is helpful to stay on top of imports.

Building a MVP Notifier using Flow and Azure Functions

Natraj Yegnaraman ,

Since MVPs are now announced every month, I have found it hard to track down the new awardees in Business Applications area before 3rd of every month. So, I thought I will build a notifier using Flow and Functions. This is the logic:

  1. Seed the inital MVP data from mvp.microsoft.com, to figure out the new MVPs every month into Azure Tables
  2. Schedule the Flow at 1st of every month at 5 p.m. PDT. Hopefully by this time, everyone has filled out atleast their name in the MVP profile.
  3. Retrieve the MVP data again from mvp.microsoft.com
  4. Figure out the new MVP and post a message to Slack. Add the new MVP details to Azure Tables

The logic that retrieves the details from mvp.microsoft.com uses Azure Functions. Below is the project.json for that Function App.

{
  "frameworks": {
    "net46":{
      "dependencies": {
        "AngleSharp": "0.9.10",
        "Newtonsoft.Json": "11.0.0.2"
      }
    }
   }
}

Next, is the actual logic that returns MVP list for the category passed in the URL.

using System.Net;
using AngleSharp;
using AngleSharp.Dom;
using AngleSharp.Dom.Html;
using System;
using System.Runtime.InteropServices;
using System.Text;
using Newtonsoft.Json;

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

    // parse query parameter
    string mvpCategory = req.GetQueryNameValuePairs()
        .FirstOrDefault(q => string.Compare(q.Key, "category", true) == 0)
        .Value;

    if (mvpCategory == null)
    {
        // Get request body
        dynamic data = await req.Content.ReadAsAsync();
        mvpCategory = data?.category;
    }

	var pageNumber = 1;
	var webClient = new WebClient();
	IHtmlDocument doc;
	IHtmlCollection mvpProfiles = null;
	List mvps = new List();
	var htmlParser = new AngleSharp.Parser.Html.HtmlParser(new Configuration().WithDefaultLoader());
	do
	{
		var data = webClient.DownloadData(new Uri($"https://mvp.microsoft.com/en-us/MvpSearch?ex={WebUtility.UrlEncode(mvpCategory)}&sc=s&pn={pageNumber++}&ps=48"));
		doc = htmlParser.Parse(Encoding.UTF8.GetString(data));

		mvpProfiles = doc.QuerySelectorAll(".profileListItem");
		var currentPage = mvpProfiles
		.Select(d =>
		{
			var nameAndLocation = d.QuerySelector(".profileListItemFullName a");
            var mvpUrl = nameAndLocation.GetAttribute("href");
			return new MVPInfo
			{
				Name = nameAndLocation.TextContent,
				Url = $"https://mvp.microsoft.com{mvpUrl}",
				Country = d.QuerySelector(".profileListItemLocation .subItemContent").TextContent,
                Id = mvpUrl.Substring(mvpUrl.LastIndexOf("-")+1)
			};
		})
		.ToList();
		mvps.AddRange(currentPage);
	} while (mvpProfiles.Any());

    var json = JsonConvert.SerializeObject(mvps, Formatting.Indented);
    return mvpCategory == null
        ? req.CreateResponse(HttpStatusCode.BadRequest, "Please pass a MVP category on the query string")
        : new HttpResponseMessage(HttpStatusCode.OK)
          {
                Content = new StringContent(json, Encoding.UTF8, "application/json")
          };
}

public class MVPInfo
{
	public string Name { get; set; }
	public string Url { get; set; }
	public string Country { get; set; }
    public string Id { get; set; }
}

It uses the AngleSharp library to parse the response returned by mvp.microsoft.com search.

Below is the Flow that uses this Function, to populate the Azure Table.

Flow Overview.png

As you can see below the Flow runs at 5 p.m on 1st of every month, and gets the current MVP list from Azure Table, MVPAwards.

Azure Tables.png

The partion key for the table is month and year and the row key is the actual MVP Id.

Azure Tables Definition.png

Since this Flow and the associated Function were built for my personal use, I call the Function directly without using a custom connector. I pass the award category on the URL of the Functions itself. If you want to use a custom connector, refer one of my earlier posts.

Azure Function Call.png

After parsing the JSON returned by the Azure Function, I can use the “select” function to map the returned data, so that I can compare the data based on the MVP Id and insert the new MVPs into the Azure Table, if needed. The partion key will the current year and month (yyyyMM).

Flow Select.png

Next is the crucial bit, where I do the actual comparison.

Compare MVPs.png

The “filter” function can be used to see whether there are any matches in MVP list that was retrieved from Azure Table i.e. the previous month MVPs. If no results were returned, that means they were not a MVP last month. So, they are a new MVP and this can be stored in Azure Tables and can also be posted to Slack.

IF Then Logic.png

Post to Slack is using the Webhooks registered on the channel.

Slack Web Hooks.png

After the Flow has finished running, the output gets posted to Slack.

MVP awards.png

References:

  1. https://powerusers.microsoft.com/t5/Building-Flows/Comparing-File-Lists/td-p/64178
  2. https://api.slack.com/incoming-webhooks

Integrating Slack to Dynamics 365 Customer Engagement

Natraj Yegnaraman , ,

In the previous post I described how easy it is to use Microsoft Flow to interact with Dynamics 365 Customer Engagement, by letting Azure Functions handle the core logic. In this post, I will show how to integrate Slack to Dynamics 365 Customer Engagement using Flow and Functions.

This is the objective: In my Slack channel, I quickly want to query the record count using a slash command, without have to jump into XrmToolBox/Dynamics 365 Customer Engagement application itself. I took the record count as a simple use case. You can create multiple slash commands, with each one doing a different targeted action in Dynamics 365.

The first step is to create the new app in Slack. Navigate to https://api.slack.com/apps/new

New Slack App.png

Since this is an internal app that I won’t be distributing, I am choosing a simple name. If you plan to distribute this app, choose a more appropriate name.

Now you will be taken to the app’s initial config screen.

New App Initial Screen.png

We will be creating a new slash command that will return the record count of the entity from Dynamics 365 Customer Engagement. Click on “Create a new command”

Slash Commands.png

Choose the name for the slash command. I am just going with “/count”.

Add new slash command.png

 

The critical part here is the Request URL. This the URL that Slack will POST to with some information. What is the information and how does this look like? I used RequestBin* (see footnote) to find out this information.

Request Bin.png

 

Note the two relevant parameters:

  • command – This the actual slash command the user executed
  • text: This is the text that comes after the slash command

For e.g., if I typed “/count account” into the Slack chat window, the command parameter’s value will be “/count” and the text parameter’s value will be “account“. During the development phase, I put in the RequestBin’s URL in the Request URL. We will come back later, once the Flow is complete and replace this placeholder URL, with the actual Flow URL.

Now you can see the list of slash commands in this app.

List of slash commands.png

Now click the “Basic Information” screen on the left, and then on “Install your app to the workspace”. This should expand the section, and you can now actually install the app into your workspace by clicking on “Install App to Workspace”.

Slack App Information.png

Grant the required permissions for the app.

Authorise App.png

Now it is time to develop the Flow, which looks very similar to my previous post about Flow and Functions. The difference here is, that the Flow is triggered by HTTP POST, and not manually using a Flow button. Flow will receive the slash command from Slack. Here is what the Flow looks like.

Flow Execution Log

Here is what the Flow does:

  1. When HTTP POST request is received from Slack, it posts a message back to Slack asking the user to wait while the record count is retrieved.
  2. Checks if the slash command is “count”
  3. If the slash command is “count”, call the Azure Function using the custom connection (refer previous post, on how to do create a custom connection to the Azure Function that you can use in Flow)
  4. Parse the response received from Azure Function, which queries Dynamics 365 Customer Engagement for the entity’s record count
  5. Send a mobile notification that shows up if the user has Flow app installed
  6. Send a message back to the channel that the slash command was executed on, with the record count

There are three important bits in the Flow:

The first is getting the slash command from the POST message.

Parse command.png

The second is posting into the right Slack channel i.e. the channel that was the source of the slash command. You can get the channel from the “channel_name” parameter.

Post message step.png

The third is parsing the JSON returned by the Azure Function. This is schema of the JSON returned.

{
    "type": "object",
    "properties": {
        "entityName": {
            "type": "string"
        },
        "count": {
            "type": "number"
        }
    }
}

You can get the Flow URL by clicking on the HTTP step that is the first step of the Flow.

Flow URL.png

Grab the whole HTTP URL and plug it in on the slash command’s request URL.

Now, you can use the slash command on your workspace to get the record count.

Slack WorkspaceSlack Workspace result

Note: When I worked on this post last month, RequestBin had the capability to create private bins. But, when I looked into this again this week it looks like they have taken away this capability, due to abuse -> https://github.com/Runscope/requestbin.

Request Bin message.png

You would have to self-host to inspect the POST message from Slack. The other option is to create the Flow with just the HTTP request step and look into the execution log, to see what was posted like below.

HTTP Post.png

 

Introduction to integrating Azure Functions & Flow with Dynamics 365

Natraj Yegnaraman , , ,

I haven’t paid much attention to what is happening in the Azure space (Functions, Flow, Logic Apps etc.), because I was under the impression that it is a daunting task to setup the integration i.e. Azure AD registration, getting tokens, Auth header and the whole shebang.

As a beginner trying to understand the stack and how to integrate the various applications, I have been postponing exploring this due to the boiler-plate involved setting this up. But then, I read this post from Yaniv Arditi: Execute a Recurring Job in Microsoft Dynamics 365 with Azure Scheduler. Things started clicking, and I decided to spend some days exploring the Functions & Flow.

I started with a simple use case: As a Dynamics 365 Customer Engagement administrator, I need the ability to do some simple tasks from my mobile during commute. Flow button fits this requirement perfectly. The scenario I looked into solving is, how to manage the Dynamics 365 Customer Engagement trace log settings from Flow app on my mobile, in case I get a call about a plugin error on my way to work, and need the logs waiting for me, when I get to work.

As I wanted to get a working application as fast as possible, I did not start writing the Functions code from Visual Studio. Instead, I tested my code from LINQPad as it is easier to import Nuget packages and also get Intellisense (Premium version). If you want to do execute Azure Functions locally, read Azure Functions Tools for Visual Studio on docs site. I did install and play with it, once I got completed the Flow+Function integration. Also, when you install the Azure Functions Tools for Visual Studio you get the capability to run and debug the functions locally. How awesome is that ❤️!

There are two minor annoyances that I encountered with Visual Studio development locally:

  1. There is no Intellisense for csx files. Hopefully this will be fixed soon. The suggested approach in the mean time appears to be “Pre-compiled Azure Functions“. But, I did not try in this exploration phase. It also improves the Function execution time from cold start.
  2. I had to install the Nuget packages locally using Install-Package even though these were specified on project.json. I could not debug the Azure Functions locally without this, as the Nuget restore did not seem to happen automatically on build.

Now, I will now specify the steps involved in creating the Azure Flow button to update the Trace Log setting in Dynamics 365 Customer Engagement.

Step 1: Head to the Azure Portal (https://portal.azure.com/).

Azure Portal.png

Step 2: Search for Functions App, select the row that says “Function App” and click on create from the right most pane.

Functions App.png

Step 3: Specify the Functions App name and click “Create”.

Function App Settings

Step 4: Navigate to the newly created Function App from the notification area. It is also good to “Pin to dashboard” for easier access next time you login to the portal.

Azure Notifications

Step 5: Click on the “Application Settings” link from the initial Functions App screen.

Functions Initial Screen.png

Step 6: Choose the Platform as 64-bit. I got compilation errors with CrmSdk nuget packages when this was set to 32-bit. You will also have to add the connection string to your CRM instance. The connection string name that I have specified is “CRM”. You may want to make this bit more descriptive.

Functions General settings

Connection String.png

Step 7: Now is the exciting part. Click on the “+” button and then click on the “Custom Function” link.

Custom Function.png

Step 8: This new function will execute on a HTTP trigger and coded using C#.

Functions Http Trigger

Step 9: After this, I sporadically experienced a blank right hand pane with nothing in it. If this happens, simply do a page refresh and repeat steps 6-8. If everything goes well, you should see this screen. I left the Authorize level as “Function” which means that the Auth key needs to be in the URL for invocation.

New Function creation screen

Step 10: You are now presented with some quick start code. Click on the “View Files” pane, which is collapsed on the right hand side.

Default Functions Code.png

Step 11: Click on “Add” and enter the file name as “project.json”

Add Project Json

Step 12: Paste the following JSON into the “project.json” file and press “Enter”. Now paste the below JSON for retrieving the CRM SDK assemblies from Nuget and press “Save”. The Nuget packages should begin to download.

{
  "frameworks": {
    "net46":{
      "dependencies": {
        "Microsoft.CrmSdk.CoreAssemblies": "9.0.0.7",
        "Microsoft.CrmSdk.XrmTooling.CoreAssembly": "9.0.0.7"
      }
    }
   }
}

Project Json Updated.png

Step 13: Now open the “run.csx” file, paste in the follow code and save.

using System.Net;
using System.Configuration;
using Microsoft.Xrm.Sdk;
using Microsoft.Xrm.Sdk.Query;
using Microsoft.Crm.Sdk.Messages;
using Microsoft.Xrm.Sdk.Client;
using Microsoft.Xrm.Tooling.Connector;

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

    // Get request body
    dynamic data = await req.Content.ReadAsAsync<object>();
    string traceLogLevel = data?.traceloglevel;
    
    var client = new CrmServiceClient(ConfigurationManager.ConnectionStrings["CRM"].ConnectionString);
	var organizationSetting = client.RetrieveMultiple(new FetchExpression("<fetch><entity name='organization'><attribute name='plugintracelogsetting' /></entity></fetch>")).Entities.First();
	var oldTraceLogValue = (TraceLog)organizationSetting.GetAttributeValue<OptionSetValue>("plugintracelogsetting").Value;
    var newTraceLogValue = (int)Enum.Parse(typeof(TraceLog), traceLogLevel);
	organizationSetting["plugintracelogsetting"] = new OptionSetValue(newTraceLogValue);
	client.Update(organizationSetting);
    if(oldTraceLogValue.ToString() == traceLogLevel)
    {
        return req.CreateResponse(HttpStatusCode.OK, $"TraceLog Level has not changed from {traceLogLevel}. No update.");
    }
    return traceLogLevel == null
        ? req.CreateResponse(HttpStatusCode.BadRequest, "TraceLog Level not found on the query string or in the request body")
        : req.CreateResponse(HttpStatusCode.OK, $"Trace Log updated from {oldTraceLogValue} to {traceLogLevel}");
}

enum TraceLog{
	Off,
	Exception,
	All
}

Step 14: You can now execute this function by click “Run” and using the JSON in the screenshot for the POST body. The “traceloglevel” can be one of three values: Off, Exception and All.

Execute Function.png

As you can see the function:

  1. Connected to the organization specified in the Application Settings using the connection string
  2. Retrieved the current trace setting and updated it, if there is a change, using the SDK
  3. Returned the response as text/plain.

If you want to execute the same using Postman or Fiddler, you can grab the Function URL as well. Note that the AuthToken is in the URL.

Function Url

Step 15: Since I am going to do an update, I don’t want the function call to trigger the change. So, just turn off “GET” and save. This means that the “traceloglevel” will only be updated on a “POST”, and not on a “GET” with query string.

Functions Integrate.png

Step 16: Now it is time to export the API definition JSON for consumption by Flow.

API Definition.png

Step 17: Choose “Function Preview” as the API Definition Key and then click “Generate API Definition Template” button to generate the Swagger JSON.

API Definition Generate.png

Step 18: Now click on the “Authenticate” button and enter the function auth key (see Step 14) in the API Key textbox and click on “Authenticate” button in the dialog box.

Authenticate.png

You should see a green tick next to the apiKeyQuery. This means that the key has been accepted.

Authenticated.png

Step 19: Now it is time to add the post body structure to the Swagger JSON. I used the Swagger editor to play around with the schema and understand how this works. Thank you Nishant Rana for this tip.

Swagger JSON

You should now able able to POST to this function easily and inspect the responses.

Swagger Response.png

Step 20: Now click on the “Export to PowerApps+Flow” button and then on the “Download” button. You should now be prompted to save ApiDef.json into your file system.

Export to PowerApps Flow.png

Step 21: Now it is time to navigate to Flow

Microsoft Flow

Step 22: You can now create a custom connector to hookup Function and Flow.

Custom Connector.png

Step 23: It is now time to import the Swagger JSON file from Step 20. Choose “Create custom connector” and then “Import an OpenAPI file”. In this dialog box, choose the Swagger JSON file from Step 20.

Step 24: Specify the details about the custom connector. This will be used to later search the connector when you build the Flow.

Connector Information.png

Step 25: Just click next, as the API key will be specified on the connection, not on the connector. The URL query string parameter is “code”.

Connector Api Key

Step 26: Since I just have only “ModifyTraceLogSetting” action, this is the only one that shows up. If you have multiple functions on the Functions app, multiple operations should be displayed on this screen.

Connector Action Definitions

Step 27: If you navigate down, you can see that the connector has picked up the message body that is to be sent with the POST.

Connector Message Body.png

Step 28: If you click on the “traceloglevel” parameter, you see see details about the POST body.

Connector Post Message Param.png

Step 29: This is the time to create the connection that will be used by the connector.

Connector Test.png

Step 30: Enter the Function API key that you got from Step 14. This will be used to invoke the Function.

Connections Api Key

Step 31: The connection does not show up straight away. You will have to click on the little refresh icon that is to the right of the Connections section. You can now test the connection by clicking the “Test Operation” button, and choosing the parameter value for “traceloglevel” that will be sent with the POST body. You can also see the live response from the Function on this screen.

Connections Test with body.png

Connections Result

Step 32: Once you have saved your connector, you will see something like this below, on the list of custom connectors.

Custom Connector View

Step 33: Now is the time to create the Flow. Choose My Flows -> Create from blank -> Search hundreds of connectors and triggers

Create FlowCreate blank flow

Step 34: Enter the Flow name and since this will be invoked from the Flow app on mobile, choose “Flow button for mobile” as the connector.

Flow Button.png

Step 35: The Flow button will be obviously triggered manually.

Manually trigger flow.png

Step 36: When the user clicks the Flow button, it is time to grab the input, which in the case will the Trace Log Level setting. Choose “Add a list of options” and also a name for the input.

Trigger Flow Input

Step 37: You don’t want the user to enter free-text or numbers, hence you present a list of options from which the user will choose one.

Trace Level Options.png

Step 38: After clicking “Add an action”, you can now choose the custom connector that you created. Search and locate your custom connector.

Flow Custom Connector.png

Step 39: Flow has magically populated the actions that are exposed by this connector. In this case there is only one action to modify the Trace Log setting.

Flow Custom Connector Action.png

Step 40: In this step you don’t want to choose a value at design time, rather map the user entered value to the custom connector. So, choose “Enter custom value”.

Trace Log Level Custom Connector.png

Step 41: The name of the input in Step 37 is “Trace Level”, so choose this value as the binding value that will be used in the custom connector.

Trace Log Level Custom Connector Bind

Step 42: In this case, I have a simple action. I just want to receive mobile notification.

Trace Log Notification.png

Step 43: I just want to receive a notification on my mobile, since I have Flow app installed. When my custom connector calls the function that updates the trace log level, the response text that is returned by the function comes through on the body on the Flow app.

This text is displayed as a notification. If you have a JSON returned by the Function and Flow app, you have to use the parseJSON manipulation to grab the right property. In this case, it is not required as the response is plaintext.

Send Mobile Notification.png

Send Mobile Notification Body.png

Step 44: When the Flow design is complete it should look like this.

Flow Design Complete.png

Step 45: You can run the Flow from either the Flow app on mobile or right from here. I click “Run Now” to check if everything is OK. You can also specify the “Trace Level” here that will be passed to the Function.

Run Flow.png

Run Flow Trace Level Parameter.png

Step 46: I can check the status of the Flow easily. The cool thing about this screen it that it logs so much information that is useful while troubleshooting what went wrong.

Flow Execution Log.png

I can also invoke this Flow on my mobile, using the Flow App. I get a native notification when the Flow completes.

What’s next

While I was experimenting with Flow and Function, I wanted to test integration between Slack and Dynamics 365. For proof of concept, I am running a custom command (“/recordcount”) on Slack channel to retrieve records from Dynamics 365.

Slack Channel.png

I will blog about this next.

Conclusion: I am really excited about the future of Flow & Functions and what this brings to the table for both developers, who want to get their hands dirty and power-users, who want something that they can hook up easily without writing any code.

If you have any feedback, suggestions or errors in this post, please comment below, so that I can learn and improve.