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https://github.com/leon-ai/leon.git
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feat(server): expose queries over HTTP
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louistiti
parent
115f9c1645
commit
b6428d0384
@ -26,10 +26,18 @@ class Brain {
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log.success('New instance')
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}
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get socket () {
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return this._socket
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}
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set socket (newSocket) {
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this._socket = newSocket
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}
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get tts () {
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return this._tts
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}
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set tts (newTts) {
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this._tts = newTts
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}
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@ -259,8 +267,11 @@ class Brain {
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const executionTime = executionTimeEnd - executionTimeStart
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resolve({
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queryId,
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lang: langs[process.env.LEON_LANG].short,
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...obj,
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speeches,
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executionTime
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executionTime // In ms, module execution time only
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})
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})
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@ -55,93 +55,125 @@ class Nlu {
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* pick-up the right classification
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* and extract entities
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*/
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async process (query) {
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log.title('NLU')
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log.info('Processing...')
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process (query, opts) {
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const processingTimeStart = Date.now()
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query = string.ucfirst(query)
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return new Promise(async (resolve, reject) => {
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log.title('NLU')
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log.info('Processing...')
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if (Object.keys(this.nlp).length === 0) {
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this.brain.talk(`${this.brain.wernicke('random_errors')}!`)
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this.brain.socket.emit('is-typing', false)
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log.error('The NLP model is missing, please rebuild the project or if you are in dev run: npm run train')
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return false
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}
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const lang = langs[process.env.LEON_LANG].short
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const result = await this.nlp.process(lang, query)
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const {
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domain, intent, score
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} = result
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const [moduleName, actionName] = intent.split('.')
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let obj = {
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query,
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entities: [],
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classification: {
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package: domain,
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module: moduleName,
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action: actionName,
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confidence: score
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opts = opts || {
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mute: false // Close Leon mouth e.g. over HTTP
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}
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}
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query = string.ucfirst(query)
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/* istanbul ignore next */
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if (process.env.LEON_LOGGER === 'true' && process.env.LEON_NODE_ENV !== 'testing') {
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this.request
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.post('https://logger.getleon.ai/v1/expressions')
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.set('X-Origin', 'leon-core')
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.send({
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version,
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query,
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if (Object.keys(this.nlp).length === 0) {
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if (!opts.mute) {
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this.brain.talk(`${this.brain.wernicke('random_errors')}!`)
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this.brain.socket.emit('is-typing', false)
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}
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const msg = 'The NLP model is missing, please rebuild the project or if you are in dev run: npm run train'
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log.error(msg)
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return reject(msg)
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}
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const lang = langs[process.env.LEON_LANG].short
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const result = await this.nlp.process(lang, query)
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const {
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domain, intent, score
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} = result
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const [moduleName, actionName] = intent.split('.')
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let obj = {
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query,
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entities: [],
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classification: {
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package: domain,
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module: moduleName,
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action: actionName,
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confidence: score
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}
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}
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/* istanbul ignore next */
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if (process.env.LEON_LOGGER === 'true' && process.env.LEON_NODE_ENV !== 'testing') {
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this.request
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.post('https://logger.getleon.ai/v1/expressions')
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.set('X-Origin', 'leon-core')
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.send({
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version,
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query,
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lang,
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classification: obj.classification
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})
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.then(() => { /* */ })
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.catch(() => { /* */ })
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}
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if (intent === 'None') {
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const fallback = Nlu.fallback(obj, langs[process.env.LEON_LANG].fallbacks)
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if (fallback === false) {
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if (!opts.mute) {
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this.brain.talk(`${this.brain.wernicke('random_unknown_queries')}.`, true)
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this.brain.socket.emit('is-typing', false)
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}
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log.title('NLU')
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const msg = 'Query not found'
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log.warning(msg)
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const processingTimeEnd = Date.now()
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const processingTime = processingTimeEnd - processingTimeStart
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return resolve({
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processingTime,
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message: msg
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})
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}
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obj = fallback
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}
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log.title('NLU')
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log.success('Query found')
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try {
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obj.entities = await this.ner.extractEntities(
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lang,
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classification: obj.classification
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})
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.then(() => { /* */ })
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.catch(() => { /* */ })
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}
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join(__dirname, '../../../packages', obj.classification.package, `data/expressions/${lang}.json`),
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obj
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)
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} catch (e) /* istanbul ignore next */ {
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log[e.type](e.obj.message)
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if (intent === 'None') {
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const fallback = Nlu.fallback(obj, langs[process.env.LEON_LANG].fallbacks)
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if (fallback === false) {
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this.brain.talk(`${this.brain.wernicke('random_unknown_queries')}.`, true)
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this.brain.socket.emit('is-typing', false)
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log.title('NLU')
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log.warning('Query not found')
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return false
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if (!opts.mute) {
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this.brain.talk(`${this.brain.wernicke(e.code, '', e.data)}!`)
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}
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}
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obj = fallback
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}
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try {
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// Inject action entities with the others if there is
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const data = await this.brain.execute(obj, { mute: opts.mute })
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const processingTimeEnd = Date.now()
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const processingTime = processingTimeEnd - processingTimeStart
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log.title('NLU')
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log.success('Query found')
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return resolve({
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processingTime, // In ms, total time
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...data,
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nluProcessingTime: processingTime - data.executionTime // In ms, NLU processing time only
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})
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} catch (e) /* istanbul ignore next */ {
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log[e.type](e.obj.message)
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try {
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obj.entities = await this.ner.extractEntities(
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lang,
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join(__dirname, '../../../packages', obj.classification.package, `data/expressions/${lang}.json`),
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obj
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)
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} catch (e) /* istanbul ignore next */ {
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log[e.type](e.obj.message)
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this.brain.talk(`${this.brain.wernicke(e.code, '', e.data)}!`)
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}
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if (!opts.mute) {
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this.brain.socket.emit('is-typing', false)
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}
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try {
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// Inject action entities with the others if there is
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await this.brain.execute(obj)
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} catch (e) /* istanbul ignore next */ {
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log[e.type](e.obj.message)
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this.brain.socket.emit('is-typing', false)
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}
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return true
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return reject(e.obj)
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}
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})
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}
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/**
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@ -82,18 +82,14 @@ const generatePackagesRoutes = () => {
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package: pkg,
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module,
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action,
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execution_time: 0, // ms
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speeches: []
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}
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try {
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const { speeches, executionTime } = await brain.execute(obj, { mute: true })
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const data = await brain.execute(obj, { mute: true })
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reply.send({
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...responseData,
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entities,
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speeches,
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execution_time: executionTime,
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...data,
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success: true
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})
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} catch (e) /* istanbul ignore next */ {
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@ -102,7 +98,7 @@ const generatePackagesRoutes = () => {
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reply.send({
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...responseData,
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speeches: e.speeches,
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execution_time: e.executionTime,
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executionTime: e.executionTime,
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error: e.obj.message,
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success: false
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})
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@ -222,13 +218,32 @@ const bootstrap = async () => {
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root: join(__dirname, '..', '..', '..', 'app', 'dist'),
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prefix: '/'
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})
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fastify.get('/', (_request, reply) => {
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fastify.get('/', (request, reply) => {
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reply.sendFile('index.html')
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})
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fastify.register(infoPlugin, { apiVersion })
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fastify.register(downloadsPlugin, { apiVersion })
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fastify.post('/core/query', async (request, reply) => {
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const { query } = request.body
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try {
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const data = await nlu.process(query, { mute: true })
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reply.send({
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...data,
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success: true
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})
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} catch (e) {
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reply.statusCode = 500
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reply.send({
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error: e.message,
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success: false
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})
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}
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})
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if (process.env.PACKAGES_OVER_HTTP === 'true') {
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generatePackagesRoutes()
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}
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