feat(server): pickup questions for slot filling

bridges/python/tcp_server/lib/nlp.py

@@ -2,7 +2,6 @@
 # -*- coding:utf-8 -*-
 
 from sys import argv
-from pathlib import Path
 import spacy
 import geonamescache
 

scripts/train.js

@@ -83,10 +83,13 @@ export default () => new Promise(async (resolve, reject) => {
                * NER before processing NLU (cf. line 210 in nlu.js)
                * 2. [OK] Grab intents with slots
                * 3. [OK] .addSlot() as per the slots config
-               * 4. Handle random questions picking
-               * 5. Train resolvers (affirm_deny: boolean value)
-               * 6. Map resolvers to skill actions
-               * 7. Utterance source type to get raw input from utterance
+               * 4. [OK] Handle random questions picking
+               *  srcAnswer has the array, need to activate context now?
+               *  to detect we should pick .srcAnswer
+               * 5. Activiate context and return slot data to skills
+               * 6. Train resolvers (affirm_deny: boolean value)
+               * 7. Map resolvers to skill actions
+               * 8. Utterance source type to get raw input from utterance
                */
               if (slots) {
                 for (let l = 0; l < slots.length; l += 1) {

server/src/core/nlu.js

@@ -112,9 +112,8 @@ class Nlu {
       }
 
       const result = await this.nlp.process(utterance)
-
       const {
-        locale, domain, intent, score, answers
+        locale, domain, intent, score, answers, slotFill, srcAnswer
       } = result
       const [skillName, actionName] = intent.split('.')
       let obj = {
@@ -224,6 +223,16 @@ class Nlu {
         }
       }
 
+      // TODO: slot filling
+      console.log('result', result)
+      if (slotFill && srcAnswer) {
+        const answer = srcAnswer[Math.floor(Math.random() * srcAnswer.length)]
+
+        this.brain.talk(answer)
+        this.brain.socket.emit('is-typing', false)
+        return resolve()
+      }
+
       try {
         // Inject action entities with the others if there is
         const data = await this.brain.execute(obj, { mute: opts.mute })

skills/games/guess_the_number/nlu/en.json

@@ -16,7 +16,8 @@
             "name": "number"
           },
           "questions": [
-            "How many players should I set?"
+            "How many players should I set?",
+            "Sure, how many players should I prepare?"
           ]
         }
       ],