I had different intents in the skill, I am using php as service.
Everything is working fine, but if the user ask utterances that are not configured in any of the intents, it must go to the else part.
Eg code is as follows:-
if($EchoReqObj->request->type=="LaunchRequest"){
$text = "Testing launch";
$array = array("version"=>"1.0","response"=>array("outputSpeech"=>array("type"=>"PlainText","text"=>$text),"shouldEndSession"=>false));
echo json_encode($array);
}
else if(getting the intent name){//Do something.}
else{
$text = "In else part";
$array = array("version"=>"1.0","response"=>array("outputSpeech"=>array("type"=>"PlainText","text"=>$text),"shouldEndSession"=>false),"sessionAttributes"=>array("lastSpeech"=>$text));
echo json_encode($array);
}
This is the else I wrote but it is not getting executed.
Alexa always tries to maps to the closest intent no matter what the user input is. You won't get an IntentRequest without an intent. So if you have five intents, Alexa will try to match all user utterances to one of these five skill's intents.
Your else part executes when Alexa triggers an intent which haven't handled. From your example code a SessionEndedRequest might go into your else part. But if you are trying to handle out-of-domain utterances you have to use AMAZON.Fallback intent and handle it in your backend.
AMAZON.FallbackIntent
If you want to handle out-of-domain requests, or gibberish, or unexpected utterances, or when a user says something that doesn’t map to any intents in your skill you have to use predefined AMAZON.FallbackIntent. This intent uses an out-of-domain model generated based on your interaction model and provides a fallback for user utterances that do not match any of your skill's intents.
More on AMAZON.FallbackIntent here
Related
I have been working on a way within my discord server to try to automate the flow of users who want to try out for a team using bots. Currently I have adopted YAGPDB and have a role menu created in a community level (category) #general_tryouts channel with reactions to specify which game they want to pursue. When they select a reaction they are assigned a temporary role (24 hours) which will grant them access to the game specific category #tryouts channel they've selected. I've been successful with getting all of the roles assigned using YAG's gui interface. However, I would also like for a message to be sent to the game specific #tryouts channel with an embed (similar to a welcome message) stating that they would like to tryout, to notify the 'team' that they are "in the queue". So the process would look something like this:
User A pops into (Some Community) #general-tryouts -> reads the menu asking them which team they want to tryout for and selects option 1 (':one:') -> User A is given the role for TempGame1 and can now see (Some Game) #tryouts AND simultaneously a message is sent to (Some Game) #tryouts on their behalf.
If they choose option 2 they will receive a TempGame2 role and a message should be sent to (Another Game) #tryouts.
If they choose option 3 they will receive a TempGame3 role and a message should be sent to (ThisOther Game) #tryouts.
YAGPDB has the option with it's custom commands to fire a command triggered by a reaction given in a certain channel by someone with a certain role. The issue is getting the result of which reaction they selected, and that dictating where the message is sent. I'm really not even concerned if it's just a generic message. I just want User A to be able to react at a 'community' level and a message to get passed in to (Some Game) #tryout, (Another Game) #tryouts, or (ThisOther Game) #tryouts based on their selection.
My apologies in advance. I am only proficient enough to code a simple I say "ping" you output "pong" sort of transaction, and got in a little over my head in short order. I have looked at the developer resources trying to piece something together to no avail, as well as pulling a similar snippet of code from here and attempting to modify it to suit my needs, also to no avail. Any help would be greatly appreciated.
Code Sample
if (reaction.message.id === '730000158745559122') {
let channel = reaction.message.guild.channels.cache.get(targetChannelId);
console.log(reaction.emoji)
if (channel) {
let embed = new Discord.MessageEmbed();
embed.setAuthor(
user.tag,
user.displayAvatarURL({
dynamic: true,
format: 'png',
}),
);
embed.setDescription(`${user} has react a: ${reaction.emoji}`);
channel.send(embed);
}
}
Visual Representation
New
in the code if (reaction.message.id === '730000158745559122') the 73000 portion represents that whole message as a focal point on what the bot is 'listening' for. Any reaction to it, be it 1, 2, or 3 will trigger this singular process. So by what you are saying by using the (id === 123 || id === 456 || id === 789) {} would likely be the way to go if I had more than one message is was 'collecting' on for a lack of better way to state it. I believe what I need to do is
`if (reaction(':one:').message.id === 123 {send message ('nifty embed')to channel.id 12345}
if (reaction(':two:').message.id === 123 {send message ('nifty embed') to channel.id 67890}
if (reaction(':three:').message.id === 123 {send message ('nifty embed') to channel.id 16273}`
I have created a skill with name "BuyDog" and its invocation name is "dog app"
So that should mean, I can use the intents defined inside only after the invocation name is heard. (is that correct?)
Then I have defined the Intents with slots as:
"what is {dog} price."
"Tell me the price of {dog}."
where the slot {dog} is of slot type "DogType". I have marked this slot as required to fulfill
Then I have added the endpoint to AWS lambda function where I have used the blueprint code of factskills project in node.js, and done few minor changes just to see the working.
const GET_DOG_PRICE_MESSAGE = "Here's your pricing: ";
const data = [
'You need to pay $2000.',
'You need to pay Rs2000.',
'You need to pay $5000.',
'You need to pay INR 3000.',
];
const handlers = {
//some handlers.......................
'DogIntent': function () {
const factArr = data;
const factIndex = Math.floor(Math.random() * factArr.length);
const randomFact = factArr[factIndex];
const speechOutput = GET_DOG_PRICE_MESSAGE + randomFact;
}
//some handlers.......................
};
As per the about code I was expecting when
I say: "Alexa open dog app"
It should just be ready to listen to the intent "what is {dog} price." and the other one. Instead it says a random string from the node.js code's data[] array. I was expecting this response after the Intent was spoken as the slot was required for intent to complete.
And when
I say: "open the dog app and Tell me the price of XXXX."
It asks for "which breed" (that is my defined question) But it just works fine and show the pricing
Alexa says: "Here's your pricing: You need to pay $5000."
(or other value from the data array) for any XXXX (i.e. dog or not dog type).
Why is alexa not confirming the word is in slot set or not?
And when
I say: "open the dog bark".
I expected alexa to not understand the question but it gave me a fact about barking. WHY? How did that happen?
Does alexa have a default set of skills? like search google/amazon etc...
I am so confused. Please help me understand what is going on?
Without having your full code to see exactly what is happening and provide code answers, I hope just an explanation for your problems/questions will point you in the right direction.
1. Launching Skill
I say: "Alexa open dog app"
It should just be ready to listen to the intent...
You are expecting Alexa to just listen, but actually, Alexa opens your skill and is expecting you to have a generic welcome response at this point. Alexa will send a Launch Request to your Lambda. This is different from an IntentRequest and so you can determine this by checking request.type. Usually found with:
this.event.request.type === 'LaunchRequest'
I suggest you add some logging to your Lambda, and use CloudWatch to see the incoming request from Alexa:
console.log("ALEXA REQUEST= " + event)
2. Slot Value Recognition
I say: "open the dog app and Tell me the price of XXXX."
Why is alexa not confirming the word is in slot set or not?
Alexa does not limit a slot to the slot values set in the slotType. The values you give the slotType are used as a guide, but other values are also accepted.
It is up to you, in your Lambda Function, to validate those slot values to make sure they are set to a value you accept. There are many ways to do this, so just start by detecting what the slot has been filled with. Usually found with:
this.event.request.intent.slots.{slotName}.value;
If you choose to set up synonyms in the slotType, then Alexa will also provide her recommended slot value resolutions. For example you could inlcude "Rotty" as a synonym for "Rottweiler", and Alexa will fill the slot with "Rotty" but also suggest you to resolve that to "Rottweiler".
var resolutionsArray = this.event.request.intent.slots.{slotName}.resolutions.resolutionsPerAuthority;
Again, use console.log and CloudWatch to view the slot values that Alexa accepts and fills.
3. Purposefully Fail to Launch Skill
I say: "open the dog bark".
I expected alexa to not understand the question but it gave me a fact about barking.
You must be doing this outside of your Skill, where Alexa will take any inputs and try to recognize an enabled skill, or handle with her best guess of default abilities.
Alexa does have default built-in abilities (not skills really) to answer general questions, and just be fun and friendly. You can see what she can do on her own here: Alexa - Things To Try
So my guess is, Alexa figured you were asking something about dog barks, and so provided an answer. You can try to ask her "What is a dog bark" and see if she responds with the exact same as "open the dog bark", just to confirm these suspicions.
To really understand developing an Alexa skill you should spend the time to get very familiar with this documentation:
Alexa Request and Response JSON Formats
You didn't post a lot of your code so it's hard to tell exactly what you meant but usually to handle incomplete events you can have an incomplete even handler like this:
const IncompleteDogsIntentHandler = {
// Occurs when the required slots are not filled
canHandle(handlerInput) {
return handlerInput.requestEnvelope.request.type === 'IntentRequest'
&& handlerInput.requestEnvelope.request.intent.name === 'DogIntent'
&& handlerInput.requestEnvelope.request.dialogState !== 'COMPLETED'
},
async handle(handlerInput) {
return handlerInput.responseBuilder
.addDelegateDirective(handlerInput.requestEnvelope.request.intent)
.getResponse();
}
you add this handler right above your actual handler usually in the index.js file of your lambda
This might not fix all your issues, but it will help you handle the event when a user doesn't mention a dog.
In Details:
Example:
user:- asks About Cricket News.
Alexa:- Reads about the new.
If users says come again or replay
user: Come again.
Alexa: Must read it again what it spoke earlier.
How to handle this situation using webhooks.
Thanks in advance.
You can make use of sessionAttributes to keep track of the last response that Alexa spoke. Whenever you return a response just store the speech and re-prompt in sessionAttributes and whenever a ComeAgainIntent is triggered, take the value from the sessionAttributes and respond accordingly.
Ex:
...
"sessionAttributes": {
"lastResponse": {
"speech": "This was my last speech",
"reprompt": "This was my lst reprompt"
}
}
...
Every time before building the response store the response as lastSpeech in session attributes and write a comeAgainIntent or use amazon.REPEAT intent to repeat the response by getting lastSpeech from session attributes.
I would like to know how to display a file when a user types something.
Ex: Show me the course details
Output: The file(pdf format) which is on my PC gets displayed.
Basically, you need to know how to work conversation: is one API for creating Intents, Entities and your Dialog flow.
Your application will access all nodes with the return from the API, and you will create conditions to get something for know if the user asked something about "Show me the course details".
I recommend to you create one intent like #aboutCourse and show examples to Watson know if the user will ask something with this purpose.
Something like:
Watson says: Hi! How can I help you?
User: Please show me the course details
Watson will recognize your intent and response what you paste within the node with the Intent condition #aboutCourse.
Make sure if the user really want this with:
Watson says: You really want to know details about the course?
User: yes / ok // or something to confirm
Or you can add some Intent confidence level for this node condition like: intents[0].confidence >= 0.75
And your code will check if the Intent is #aboutCourse and the entity is #yes, and do something in your application.
Or, you can create one context variable too, because, depends on your node flow, the intents will modify within your flow because every time Watson try to recognize what the user wants.
With your dialog flow, you will create one context variable and check if user says yes, like:
{
"context": {
"courseConfirm": "<? #yes ?>" //create one intent with confirm examples and value equal yes
},
"output": {
"text": {
"values": [
"Ok, you say #yes. I'll check, one moment."
],
"selection_policy": "sequential"
}
}
}
And within your application:
function updateMessage(input, response) {
if (response.context.courseConfirm == 'yes') {
//do something with code with code
}
}
Or you can create one function inside my example, like this answer.
Obs.: This code example is with conversation-simple project, from IBM Developers, but you will do something like my example with the same logic:get the return from API and do something within your application.
I brought an Amazon echo in hope to have it send commands to my HTPC.
I found and set up the following which uses alexa with eventghost.
http://www.eventghost.org/forum/viewtopic.php?f=2&t=7429&sid=c3d48a675d6d5674b25a35f4850bc920
The original poster used "literal" in the skill intent which I found doesn't work anymore. After reading through the whole thread I saw you need to create a custom slot type.
here is the skill set up
Intent scheme
{
"intents": [ {
"intent": "Run",
"slots": [
{
"name": "Action",
"type": "Commands"
} ]
} ]
}
Custom Slot Types
Commands
cleanup
clean up
move movies
move downloads
move cartoons
move the cartoons
move the downloads
move the downloaded movies
play
pause
stop
Sample Utterances
Run {Action}
What I'm wanting to do is say:
"Alexa tell/ask (Invocation Name) to clean up"
or
"Alexa tell/ask (Invocation Name) to Move movies"
I typed in the custom slot to what I believe is the correct format based on my web searching.
the problem is when I run it through Alexa it sometimes hits Eventghost slightly wrong.
how can I fine tune it. or do i have the skill set up wrong?
Above Setup Looks fine, Alexa skill has ability learn by training Skill more
But I dont know, you made typo error
Your Sample Utterances looks like "Alexa tell/ask (Invocation Name) clean up", but your ask as "Alexa tell/ask (Invocation Name) to clean up" with extra word as "to", if this is not an typo error, please remove word "to"
Because while pronunciation, the word "to" will try to combine with your commands