feat(server): support on-the-fly entity annotation for built-in entities

core/data/en/resolvers/affirmation_denial.json

@@ -21,8 +21,7 @@
         "That's right",
         "That works",
         "Go ahead",
-        "Why not",
-        "I do"
+        "Why not"
       ],
       "value": true
     },

scripts/train.js

@@ -64,6 +64,8 @@ export default () => new Promise(async (resolve, reject) => {
           const intentName = intentKeys[j]
           const intentObj = resolverIntents[intentName]
 
+          nlp.assignDomain(lang, intentName, 'system')
+
           for (let k = 0; k < intentObj.utterance_samples.length; k += 1) {
             nlp.addDocument(lang, intentObj.utterance_samples[k], intentName)
           }

server/src/core/brain.js

@@ -165,6 +165,10 @@ class Brain {
         const nextAction = action.next_action ? actions[action.next_action] : null
 
         if (actionType === 'logic') {
+          /**
+           * "Logic" action skill execution
+           */
+
           // Ensure the process is empty (to be able to execute other processes outside of Brain)
           if (Object.keys(this.process).length === 0) {
             /**
@@ -335,6 +339,10 @@ class Brain {
           // Reset the child process
           this.process = { }
         } else {
+          /**
+           * "Dialog" action skill execution
+           */
+
           const nluFilePath = path.join(
             process.cwd(), 'skills', obj.classification.domain, obj.classification.skill, 'nlu', `${this._lang}.json`
           )
@@ -369,9 +377,9 @@ class Brain {
              */
             if (utteranceHasEntities && answer.indexOf('{{') !== -1) {
               obj.entities.forEach((entityObj) => {
-                answer = string.pnr(answer, { [`{{ ${entityObj.entity} }}`]: entityObj.option })
+                answer = string.pnr(answer, { [`{{ ${entityObj.entity} }}`]: entityObj.resolution.value })
 
-                // Find matches and map deeper data from the NLU file
+                // Find matches and map deeper data from the NLU file (global/custom entities)
                 const matches = answer.match(/{{.+?}}/g)
 
                 matches?.forEach((match) => {

skills/leon/introduction/nlu/en.json

@@ -28,7 +28,7 @@
             "name": "date"
           },
           "questions": [
-            "What's your birth date?"
+            "What's your birth date {{ person }}?"
           ]
         }
       ],

skills/leon/partner_assistant/nlu/en.json

@@ -22,7 +22,7 @@
     "partner_assistant": {
       "options": {
         "Alexa": {
-          "synonyms": ["alexa"],
+          "synonyms": ["Alexa"],
           "data": {
             "thought": [
               "Alexa is very kind and Amazon is teaching it many things. It was born in November 2014.",
@@ -31,7 +31,7 @@
           }
         },
         "Cortana": {
-          "synonyms": ["cortana"],
+          "synonyms": ["Cortana"],
           "data": {
             "thought": [
               "Cortana is thoughtful and Microsoft is improving her day after day. She was born in April 2014.",
@@ -40,7 +40,7 @@
           }
         },
         "Siri": {
-          "synonyms": ["siri"],
+          "synonyms": ["Siri"],
           "data": {
             "thought": [
               "I consider Siri as a leader, it has a lot of experience and Apple is constantly improving it. It was born in October 2011.",
@@ -49,7 +49,7 @@
           }
         },
         "Google Assistant": {
-          "synonyms": ["google assistant"],
+          "synonyms": ["Google Assistant"],
           "data": {
             "thought": [
               "Google Assistant is smart and Google is doing a great job with it. It was born in May 2016.",