Trigger MongoDB IFTTT Flows in Azure App Service



This article shows how to automate IFTTT (if-this-then-that) workflows with standard wizards in Logic Apps.

Through standards-based interfaces like OData and Swagger, the CData API Server provides a native experience in Logic Apps and Power Automate with MongoDB. OData enables real-time connectivity to data; Swagger enables scaffolding, or code generation, of wizards in Logic Apps and Power Automate, as well as scaffolding Power Apps. This article shows how to add MongoDB to an IFTTT (if-this-then-that) workflow in a Logic App.

About MongoDB Data Integration

Accessing and integrating live data from MongoDB has never been easier with CData. Customers rely on CData connectivity to:

MongoDB's flexibility means that it can be used as a transactional, operational, or analytical database. That means CData customers use our solutions to integrate their business data with MongoDB or integrate their MongoDB data with their data warehouse (or both). Customers also leverage our live connectivity options to analyze and report on MongoDB directly from their preferred tools, like Power BI and Tableau.

For more details on MongoDB use case and how CData enhances your MongoDB experience, check out our blog post: The Top 10 Real-World MongoDB Use Cases You Should Know in 2024.


Getting Started


Set Up the API Server

If you have not already done so, download the CData API Server. Once you have installed the API Server, follow the steps below to begin producing secure MongoDB OData services:

Connect to MongoDB

To work with MongoDB data in a Logic App, we start by creating and configuring a MongoDB connection. Follow the steps below to configure the API Server to connect to MongoDB data:

  1. First, navigate to the Connections page.
  2. Click Add Connection and then search for and select the MongoDB connection.
  3. Enter the necessary authentication properties to connect to MongoDB.

    Set the Server, Database, User, and Password connection properties to connect to MongoDB. To access MongoDB collections as tables you can use automatic schema discovery or write your own schema definitions. Schemas are defined in .rsd files, which have a simple format. You can also execute free-form queries that are not tied to the schema.

  4. After configuring the connection, click Save & Test to confirm a successful connection.

Configure API Server Users

Next, create a user to access your MongoDB data through the API Server. You can add and configure users on the Users page. Follow the steps below to configure and create a user:

  1. On the Users page, click Add User to open the Add User dialog.
  2. Next, set the Role, Username, and Privileges properties and then click Add User.
  3. An Authtoken is then generated for the user. You can find the Authtoken and other information for each user on the Users page:

Creating API Endpoints for MongoDB

Having created a user, you are ready to create API endpoints for the MongoDB tables:

  1. First, navigate to the API page and then click Add Table .
  2. Select the connection you wish to access and click Next.
  3. With the connection selected, create endpoints by selecting each table and then clicking Confirm.

Gather the OData Url

Having configured a connection to MongoDB data, created a user, and added resources to the API Server, you now have an easily accessible REST API based on the OData protocol for those resources. From the API page in API Server, you can view and copy the API Endpoints for the API:

Access MongoDB in a Logic App

You can use the API Server in a Logic App to create process flows around MongoDB data. The HTTP + Swagger action provides a wizard to define the operations you want to execute to MongoDB. The following steps below show how to retrieve MongoDB data in a Logic App.

If your table has a column containing the creation date of a record, you can follow the steps below to write a function to check the column values for any new records. Otherwise, skip to the Create a Logic App section to send out emails to entities that match a filter.

Check for New MongoDB Entities

To find new MongoDB entities since a certain time, you can write a function that retrieves a datetime value for the start of the interval:

  1. In the Azure Portal, click New -> Function App -> Create.
  2. Enter a name and select the subscription, resource group, App Service plan, and storage account.
  3. Select your Function App and select the Webhook + API scenario.
  4. Select the language. This article uses JavaScript.
  5. Add the following code to return the previous hour in a JSON object:
    module.exports = function (context, data) { 
      var d = new Date();
      d.setHours(d.getHours()-1); 
      // Response of the function to be used later.
      context.res = { 
        body: { 
          start: d 
        } 
      }; 
      context.done(); 
    };
    

Add MongoDB to a Trigger

Follow the steps below to create a trigger that searches MongoDB for results that match a filter. If you created the function above, you can search for objects that were created after the start of the interval returned.

  1. In the Azure Portal, click New and in the Web + Mobile section select Logic App and select a resource group and App Service plan.
  2. You can then use the wizards available in the Logic App Designer, which can be accessed from the settings blade for the Logic App. Select the Blank Logic App template.
  3. Add a Recurrence action that will poll for the MongoDB objects. This article polls every hour. Select the timezone -- the default is UTC.
  4. Add a function action: Expand the menu in the Add Action dialog and select the option to show Azure functions in the same region. Select the Function App you created earlier and select the function that returns the interval start.
  5. Enter an empty pair of curly brackets, "{}", to pass an empty payload object to the function.
  6. Add the HTTP + Swagger action and enter the swagger URL of the API Server:
    http://MySite:MyPort/api.rsc/@MyAuthtoken/$oas
  7. Select the "Return restaurants" operation.
  8. Use the descriptions for each property to specify additional parameters such as the columns to retrieve, filters, etc. Below is an example filter:

    Name eq 'Morris Park Bake Shop'

    The API Server returns the descriptions and other documentation in the swagger document. You can find more information on using the OData API and supported OData in the API Server help documentation.

  9. To use the datetime value returned from the getInterval function, use the "ge" operator with a datetime column in the restaurants table and select the Body parameter in the dialog. Note that quotes must be used to surround the datetime value.

  10. Switch to Code View and modify the $filter expression to extract the property containing the start of the interval. Use the syntax '@{body('MyFunc')['MyProp']'.

    "getAllAccount": {
      "inputs": {
        "method": "get",
          "queries": {
            "$filter": "CreatedDate ge '@{body('getInterval')['start']}'"
          },
          "uri": "https://MySite:MyPort/api.rsc/@MyAuthtoken/restaurants"
      }
    

You can now access MongoDB as data sources and destinations in your workflows.

Email New Records

Follow the steps below to email a report with any new restaurants entities.

  1. In the Logic Apps Designer, add an SMTP - Send Email action.
  2. Configure the necessary information for the SMTP server.
  3. Configure the From, To, Subject, and Body. You can add parameters from the MongoDB columns returned.

Click Save and then click Run to send email notifications on any MongoDB records created in the last hour.

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