Validation of User Data

Validation is the process of checking user input to ensure it matches the expectations of the app. Airkit provides multiple options for validation.

Simple Length Validation

Validation of input is a common use case. In Zendesk, for example, it would not make sense to submit a ticket without a Title or Description as they are required. Validation can be used to confirm the existence of data as well as the format of data. Validation can be used to ensure a value is a number, string, or even an email address. Starting from the example in Creating a Simple Form, entering an empty description would be an API issue, forgetting to enter a name would leave our Subject rather useless. The ideal scenario is to check for the existence of these fields on the user clicking the submit button. Do this by adding to the Actions for the Submit buttons Clicked Event, which will be fired when the user clicks on the button.

Create boolean variables on the Web Page for empty_title and empty_description. On the clicked action of the button set the value of the variable based on calling ISEMPTY() on the title and the description property. The actions should look like this:

Add a Condition Action to the Action Tree enter the following in the condition box:

NOT(  
  empty_name  
)  
AND NOT(  
  empty_description  
)

Put success actions below the IF statement. This will prevent the user from submitting a ticket with an empty message, but there is no information on the screen to explain why. Go back to the containers for Name and Description and add an error message. Under the Advanced tab in the Inspector, we will set the value of Is Visible to the value of the correct empty boolean for the field.

When the user clicks the submit button, if they have not entered a Title or Description, they will be presented with these error messages and know what to do before they attempt to submit again.

This is a simple example of working with data validation based on length.

Type Verification

In addition to checking for the presence of a field, it is possible to check the validity of the data in the field. This is particularly useful when the input coming from the user must fit a certain format. For example, when an email is required to look up related information. Building on the Airbooks example. Create a Web Flow for collecting an email address from the user.

To check for a valid email address, go to the Actions Tab in the Inspector for the Find Tickets button. Add a Set Variable action for checking the validity of the email. Use the function ISEMAIL() to check the validity of the email. Then add a condition. If the email is valid, perform the successful action. The Action Tree should look like this:

ISEMAIL() is just one of the pre-packaged validation functions in Airscript. This pattern will also work with functions like:

• ISEMPTY() and ISNOTEMPTY()
• ISEVEN() and ISODD()
• ISPHONE()
• ISSTRING()

One additional note, invalid_email is used instead of trying to prove that email is valid using a NOT(). This is because Airkit treats a NULL as false so by using a negative there is no requirement to set the state Page Added action of the initial Page.

Custom Validation Requirements

Sometimes Validation requires business-specific, domain, knowledge. For example, trying to find a book by ISBN number. ISBN Numbers start with the letters "ISBN" and contain 13 digits of numbers broken up by dashes. An example of a valid ISBN is:

ISBN 989-0-7267-9020-3

Create a simple page for gathering an ISBN:

Because checking validation on an ISBN is more complex, custom Airscript will be required. Instead of using ISEMAIL(), set the value of invalid_isbn to:

NOT(  
  STRING_FIND(  
    activity.isbn,  
    "ISBN"  
  )  
  = 0  
  AND LENGTH(  
    STRIP(  
      activity.isbn,  
      "ISBN -"  
    )  
  )  
  = 13  
)

This snippet checks that text variable isbn starts with the letters "ISBN" and contains 13 characters that aren't those letters, space, or a dash. Starting with STRING_FIND(), the code checks to see if the first address of the text "ISBN" is at index 0 in the text the user entered. If that passes the snippet strips all instances of the characters "I", "S", "B", "N", " ", and "-" from the input using the STRIP() function. It then confirms that the length of the remaining characters is 13. This is a particular example of working with text in Airscript.

Moving Complex Validation to a Connection

While the above example provides some basic checking for the ISBN, it does not cover all of the edge cases a user may enter into the search box. These ISBNs would all pass the validation above:

ISBNISBNISBNISBNISBN 989-0-7267-9020-3  
ISBN 989-0- ISBN 989-0-7267-9  
ISBN 989-0-7267-9020-3 ISBNISBN----

This validation is relatively simple. It can be made more complex to check by adding additional checks for overall string length, the validity of the numbers (for example, the first triplet must be either 978 or 979), or re-occurrence of the string ISBN. While it is possible to do this inline in the Action tree for the clicked action, it sometimes makes sense to pull this out into Data Flow to check for validity. Doing so can allow reuse of this check in other places in the App, or even just split complex validation into steps that can be more easily understood. This Flow will take in a Text variable that is the potential ISBN and return true or false based on whether the ISBN passes validation.

Go to Connections Builder and create a Data Flow, name it "Validation - is ISBN valid". Give it an input variable of type text with the name potential_isbn. Change the type of Data Operation of the first step to Transform. Copy and paste the validation code from the above check. Change the output of the Transform to type Boolean. Set the Return Value of the Data Flow in the End block to the output of the transform.

Go back to Web Flows Builder. Add a web page boolean variable called valid_isbn, then go to the Actions Tab for the "Find Book" button. Add a new Run Data Flow under the Clicked Action. Select the "Validation - is ISBN valid" option and pass it in the isbn variable. Set the output of the flow to valid_isbn. Click and drag this operation to the top of the action Tree. Clicking the add icon next to the condition block, add an ELSE block, and set the value of invalid_isbn to TRUE.

At this point, this version replaces the inline Airscript with a connection. While this hasn't improved the quality of the validation, it has moved it to a Data Flow for potential reuse throughout the App.

Breaking up the Validation in the Data Flow

Go back to Connections Builder and select the data flow. Add a new Data Operation right after the Start. Select Transform from the type dropdown. In the transform step put in the following:

STRING_FIND(potential_isbn, "ISBN") = 0

Change the output type of the transform to Boolean. Change the name of the output in the Inspector to starts_with_isbn. Next, create another Data Operation. Choose Transform from the Type dropdown and paste in the following code:

SUBSTRING(potential_isbn, 5)

This is taking the ISBN of the format "ISBN 989-0-7267-9020-3" and removing the "ISBN " from the beginning. The text "989-0-7267-9020-3" will be stored in the output of this transform.

Set the return type of the Data Operation to Text and change the name in the Inspector to isbn_numbers.

Add an operation to check the length validity of this section in terms of numbers. Create another Data Operation. Select type Transform. Enter the following code in the Transform Expression:

LENGTH(STRIP(isbn_numbers, " -")) = 13

Set the output to type Boolean and name it valid_length. Let's add one more step to ensure that the first set of numbers is either 978 or 979. Create another Transform Data Operation. Enter the following code in the Transform Expression:

SUBSTRING(isbn_numbers, 0, 3) = "978"  
OR SUBSTRING(isbn_numbers, 0, 3) = "979"

Set the output to type Boolean and rename the output to correct_starting_code.

Now that all the steps are set up, it's time to perform the final validation. In the last step (the one that is leftover from the previous example), paste in the following code:

starts_with_isbn AND valid_length AND correct_starting_code

Because our Data Flow returns if the item is invalid, start with the expression that returns valid. If the text starts with ISBN, is a valid length, and has the correct starting code it is valid. If any of those aren't true, the ISBN is invalid, which means the response to a connection asking if the ISBN is invalid would be TRUE.

Testing this out with the inputs we described above:

This example is relatively contrived, but as validation gets more and more complex, breaking it into Data Flows makes it easier to understand for the people maintaining the App.

Inline validation

All of the previous examples have dealt with validation at the time of clicking on the submit button. While this is usually good enough, sometimes you will want to check validation as the user is typing into the input box and display helpful messages. Going back to the email ticket lookup example. It is possible to let the user know that their input is invalid as they are typing.

Go to the error message for the invalid email on the enter email web page and select the Advanced tab in the inspector. Modify the value of the IsVisible property to be:

ISNOTEMPTY(email) AND NOT(ISEMAIL(email))

This is saying that if the email variable (which is updated whenever the user types into the string input) is not empty and does not have a valid email display the message. Once the user's email becomes a valid email format, the error message will disappear.

This pattern will work for most of the validation techniques above. Because it is not possible to call a connection on the input of a text field, currently it is not possible to use the Data Flow validation in this manner.