Rule

Rule Cells are compatible with and intrinsically related to the Dynamic Content feature, and may use them to branch paths on your flow.

The Rule Cell allows you to manage and customize the flows according to the variations of the business rule. It’s a resource to make your dialog more assertive and much more precise, as the virtual agent will respond to any changeable scenario.

In a flow, you will often encounter scenarios where the if-then-else conditionals are applicable. For each possibility, you will predict a Rule Cell, always foregrounding the main rule.

Summarizing, Rule Cell is fundamental in flows that need any kind of rules.

Below, there are some examples of use cases, with respective codes to base the creation of your Rule cells 😉

• If the user informs that is over 18, will be directed by the Rule Cell to a dialog to open his account. Minors will be directed to a dialog informing how to open an account with an adult guardian. In that case, you should write the following code in the Rule Cell:

hiddenContext.age < 18

• Use different responses according to channels:

info.channelName == 'Homepage'

• To check if user is logged in:

hiddenContext.logged == true

• To check if the shopping cart has items:

visibleContext.shoppingCart != null && 
visibleContext.shoppingCart.items != null &&
!visibleContext.shoppingCart.items.isEmpty()

• To validate confidence level of intent:

intents[0].name == 'MY_INTENT' && intents[0].confidence > 0.8

• For single-variable validation:

hiddenContext.myvar == 5

• If the user wants to create an "escape", a way to execute a flow in which no other scenario fits:

true

• To disambiguate, as an alternative to the use of entities (although the recommended and simplest way to build flows is, actually, using entities). For example: if you want to differentiate a user who wants to check his bank account balance from another user who wants to check his credit card balance, you can predict two (2) Rules Cells:

//First Rule Cell code:
if(!intents.isEmpty())     
    intents[0].name =="BANK_BALANCE" 
else   
    false;

//Second Rule Cell code:
if(intent.isEmpty())     
    intents[0].name =="CREDITCARD_BALANCE" 
else   
    false;

How can you create a Rule Cell?

Remember to verify your code by clicking on "Validate" before you "Save" it

In the Rule’s Cell value field you can insert the code snippet in JavaScript’s variables (if you wanna know more about this language, access this page) and program any code in it, as long as it’s executable within 100 milliseconds.

The Rule Cell will always be accompanied by a Not Expected Cell, which acts to predict all user interactions outside the guidelines.

The variables below can be used in eva on the Insert code field. Just copy-paste the formula in the table according your scenario:

Predict responses according to:	Function	Formula
Text	to use the last user's writing in the response	text
Information about the virtual agent	to use the name of the virtual agent in the answer	info.bot
Information about the channel	to use the channel's name in the answer	info.channelName
Information about the channel type	to use the channel's type in the answer (if it's web, Facebook, Alexa, etc..)	info.channelType
Session Code	to inform the UUID/GUID in the answer	sessionCode
Code	to use in the response the Code of the last user's writing	code
Parameter	to use in the response the parameters' value	parameters['parameter's_name']
Open Context	to use in the response the Open Context's value	opencontext.information's_name
Visible Context	to use in the response the Visible Context's value	visiblecontext.information's_name
Hidden Context	to use in the response the Hidden Context's value	hiddencontext.information's_name

Important: The variables within the contexts are created by the user, not by the eva platform

How to test the assertiveness of the Rule Cell?

You can test the assertiveness of the Rule Cell and also predict responses with the last user input by using in the Answer Cell a Dynamic Answer (to get more information about Dynamic Answers)

If you’re not familiar with codes, you can copy paste the following shortcuts and put it in the Answer Cell, as a Dynamic Answer:

Predict responses according to:	Function	Formula
Intents	to use in the response the main Intent of a conversation	$intents[0].name (OBS: this formula stays the same, no matter the Intent's name)
Entities	to use in the response the main Entity of a conversation	$entities['entity's_name']
Text	to use the last user's writing in the response	$text
Information about the virtual agent	to use the name of the virtual agent in the answer	$info.bot
Information about the channel	to use the channel's name in the answer	$info.channelName
Information about the channel type	to use the channel's type in the answer (if it's web, Facebook, Alexa, etc..)	$info.channelType
Session Code	to inform the UUID/GUID in the answer	$sessionCode
Code	to use in the response the Code of the last user's writing	$code
Parameter	to use in the response the parameters' value	$parameters['parameter's_name']
Open Context	to use in the response the Open Context's value	$opencontext.information's_name (registered in the code cell)
Visible Context	to use in the response the Visible Context's value	$visiblecontext.information's_name (registered in the code cell)
Hidden Context	to use in the response the Hidden Context's value	$hiddencontext.information's_name (registered in the code cell

Intent

Name	Type	Required	Description
name	String	Yes	Name of the intent, same as the NLP
confidence	Double	Yes	Confidence score returned by the NLP, this will be a percentage number from 0 to 1.

Entities and intents are read-only attributes. That means you cannot edit their content.

Entity

Name	Type	Required	Description
name	String	Yes	Name of the entity, same as the NLP.
value	String	Yes	The value of the entity returned by the NLP.
position	Position	No	Position of the string within the user input (text).