Can't extract numbers from intents. #5
Comments
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Just to clarify, the console output I'm getting while trying this out is below. Notice how I start by saying That aside, I reply with Now, also notice that on this last intent handler, I log and there's an |
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Hello there, we just checked and it seems that the built-in entity extraction of nlp.js is not enabled by default. You will need to do the following:
We will probably make this easier in the future, but for now, this workaround should work. If you have any more questions, just let us know. |
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Thank you @m-ripper. I've tried your suggestion but I'm getting this error: How did you get around this? Also, how do you declare the type of NLP.js in the model? Is this correct? Thanks, |
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@m-ripper, I got around the typescript compilation problem by switching to Javascript, but I'm still facing a few issues. Could you update one of the templates with a working example? Here's what's happening:
Here's my adapted HelloWorld project to test this. 'use strict';
const { App } = require('jovo-framework');
const { Alexa } = require('jovo-platform-alexa');
const { GoogleAssistant } = require('jovo-platform-googleassistant');
const { JovoDebugger } = require('jovo-plugin-debugger');
const { FileDb } = require('jovo-db-filedb');
const { WebPlatform } = require ('jovo-platform-web');
const { NlpjsNlu } = require ('jovo-nlu-nlpjs');
const { BuiltinDefault } = require ('@nlpjs/builtin-default')
const { LangEn } = require ('@nlpjs/lang-en')
const app = new App()
const webPlatform = new WebPlatform();
const nlpjsNlu = new NlpjsNlu({
setupModelCallback: async (handleRequest, nlp) => {
// force entity extraction
nlp.forceNER = true;
// register module for entity extraction
nlp.container.use(BuiltinDefault, 'extract-builtin');
// register module for English
nlp.use(LangEn);
// add corpus via path to the models directory
// you might change it to pass an absolute path
nlpjsNlu.addCorpus('/Users/miguelangel/ws/node/my-embeddedchat/hello/models');
},
})
webPlatform.use(nlpjsNlu);
app.use(
new Alexa(),
new GoogleAssistant(),
webPlatform,
new JovoDebugger(),
new FileDb()
);
app.setHandler({
LAUNCH() {
return this.toIntent('HelloWorldIntent');
},
ON_REQUEST(){
console.log(`**** ON_REQUEST Inputs: ${JSON.stringify(this.$inputs)}`)
},
SumsIntent(){
console.log(`**** SumsIntent with ${this.$inputs}`)
let sum = parseFloat(this.$inputs.firstNumber.key) + parseFloat(this.$inputs.secondNumber.key)
this.tell(`The answer is ${sum}`)
},
HelloWorldIntent() {
this.ask("Hello World! What's your name?", 'Please tell me your name.');
},
MyNameIsIntent() {
this.tell('Hey ' + this.$inputs.name.value + ', nice to meet you!');
},
Unhandled(){
console.log(`**** Unhandled`)
console.log(`this.getMappedIntentName: ${this.getMappedIntentName()}`)
console.log(`this.getRoute: ${JSON.stringify(this.getRoute())}`)
this.tell(`Darn! can't do that yet.`)
}
});
module.exports = { app };Here's my model for my {
"name": "SumsIntent",
"phrases": [
"how much is ${firstNumber} plus {secondNumber}",
"add ${firstNumber} plus {secondNumber}",
"add ${firstNumber} and {secondNumber}",
"${firstNumber} plus {secondNumber}"
],
"inputs": [
{
"name": "firstNumber",
"type": {
"alexa": "AMAZON.NUMBER",
"googleAssistant": "actions.type.Number"
}
},
{
"name": "secondNumber",
"type": {
"alexa": "AMAZON.NUMBER",
"googleAssistant": "actions.type.Number"
}
}
]
}Notice how I removed the Here are the request and response. Notice how just before the |
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I've tried everything I could think of and have not been able to extract a number from an intent sent by the
JovoWebClientlib. Meaning thatthis.$inputsis always empty —i.e.{}.My intent looks like this in
models/en-US.json:{ "name": "LoremIpsumResolve", "phrases": [ "{wordCount} words", "{wordCount} lorem words", "{wordCount} lorem ipsum words", "{wordCount} latin words", "say {wordCount} words", "say {wordCount} words in latin", "speak {wordCount} words in latin", "say {wordCount} latin words", "speak {wordCount} latin words", "speak {wordCount} words of lorem ipsum", "give me {wordCount} words in latin" ], "inputs": [ { "name": "wordCount", "type": { "alexa": "AMAZON.NUMBER", "googleAssistant": "actions.type.Number", "nlpjs": "number" } } ] }It works perfectly fine with Alexa or Google Assistant, but won't work when the request comes from a client web application. I've also tried
"nlpjs": "Number","nlpjs": "integer"and"nlpjs": "Integer".I noticed that
$requestcoming from Alexa and Google assistant bears"type": "IntentRequest", but intents coming from theJovoWebClientlib bear"type": "TEXT", so then I tried sending the request as aRequestType.Intentfrom the web client:This resulted in the
$requestbearing"type": "INTENT", but that didn't do the trick either.I also noticed that
this.$nlucarries NLP.js entities (https://github.com/axa-group/nlp.js/blob/master/docs/v3/builtin-entity-extraction.md#number-extraction) but there's no resolution.The text was updated successfully, but these errors were encountered: