@aws-amplify/interactions/dist/esm/lex-v2/AWSLexV2Provider.mjs.map

Interactions category of aws-amplify

{"version":3,"file":"AWSLexV2Provider.mjs","sources":["../../../src/lex-v2/AWSLexV2Provider.ts"],"sourcesContent":["// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.\n// SPDX-License-Identifier: Apache-2.0\nimport { IntentState, LexRuntimeV2Client, RecognizeTextCommand, RecognizeUtteranceCommand, } from '@aws-sdk/client-lex-runtime-v2';\nimport { getAmplifyUserAgentObject } from '@aws-amplify/core/internals/utils';\nimport { ConsoleLogger, fetchAuthSession } from '@aws-amplify/core';\nimport { v4 as uuid } from 'uuid';\nimport { convert, unGzipBase64AsJson } from '../utils';\nconst logger = new ConsoleLogger('AWSLexV2Provider');\nclass AWSLexV2Provider {\n    constructor() {\n        this._botsCompleteCallback = {};\n        this.defaultSessionId = uuid();\n    }\n    /**\n     * Send a message to a bot\n     * @async\n     * @param {AWSLexV2ProviderOption} botConfig - Bot configuration for sending the message\n     * @param {string | InteractionsMessage} message - message to send to the bot\n     * @return {Promise<InteractionsResponse>} A promise resolves to the response from the bot\n     */\n    async sendMessage(botConfig, message) {\n        // check if credentials are present\n        let session;\n        try {\n            session = await fetchAuthSession();\n        }\n        catch (error) {\n            return Promise.reject(new Error('No credentials'));\n        }\n        const { region, aliasId, localeId, botId } = botConfig;\n        const client = new LexRuntimeV2Client({\n            region,\n            credentials: session.credentials,\n            customUserAgent: getAmplifyUserAgentObject(),\n        });\n        let response;\n        // common base params for all requests\n        const reqBaseParams = {\n            botAliasId: aliasId,\n            botId,\n            localeId,\n            sessionId: session.identityId ?? this.defaultSessionId,\n        };\n        if (typeof message === 'string') {\n            response = await this._handleRecognizeTextCommand(botConfig, message, reqBaseParams, client);\n        }\n        else {\n            response = await this._handleRecognizeUtteranceCommand(botConfig, message, reqBaseParams, client);\n        }\n        return response;\n    }\n    /**\n     * Attach a onComplete callback function to a bot.\n     * The callback is called once the bot's intent is fulfilled\n     * @param {AWSLexV2ProviderOption} botConfig - Bot configuration to attach the onComplete callback\n     * @param {InteractionsOnCompleteCallback} callback - called when Intent Fulfilled\n     */\n    onComplete({ name }, callback) {\n        this._botsCompleteCallback[name] = callback;\n    }\n    /**\n     * call onComplete callback for a bot if configured\n     */\n    _reportBotStatus(data, { name }) {\n        const sessionState = data?.sessionState;\n        // Check if state is fulfilled to resolve onFullfilment promise\n        logger.debug('postContent state', sessionState?.intent?.state);\n        const callback = this._botsCompleteCallback[name];\n        if (!callback) {\n            return;\n        }\n        switch (sessionState?.intent?.state) {\n            case IntentState.READY_FOR_FULFILLMENT:\n            case IntentState.FULFILLED:\n                callback(undefined, data);\n                break;\n            case IntentState.FAILED:\n                callback(new Error('Bot conversation failed'));\n                break;\n            default:\n                break;\n        }\n    }\n    /**\n     * Format UtteranceCommandOutput's response\n     * decompress attributes\n     * update audioStream format\n     */\n    async _formatUtteranceCommandOutput(data) {\n        return {\n            ...data,\n            messages: await unGzipBase64AsJson(data.messages),\n            sessionState: await unGzipBase64AsJson(data.sessionState),\n            interpretations: await unGzipBase64AsJson(data.interpretations),\n            requestAttributes: await unGzipBase64AsJson(data.requestAttributes),\n            inputTranscript: await unGzipBase64AsJson(data.inputTranscript),\n            audioStream: data.audioStream\n                ? await convert(data.audioStream)\n                : undefined,\n        };\n    }\n    /**\n     * handle client's `RecognizeTextCommand`\n     * used for sending simple text message\n     */\n    async _handleRecognizeTextCommand(botConfig, data, baseParams, client) {\n        logger.debug('postText to lex2', data);\n        const params = {\n            ...baseParams,\n            text: data,\n        };\n        try {\n            const recognizeTextCommand = new RecognizeTextCommand(params);\n            const resultData = await client.send(recognizeTextCommand);\n            this._reportBotStatus(resultData, botConfig);\n            return resultData;\n        }\n        catch (err) {\n            return Promise.reject(err);\n        }\n    }\n    /**\n     * handle client's `RecognizeUtteranceCommand`\n     * used for obj text or obj voice message\n     */\n    async _handleRecognizeUtteranceCommand(botConfig, data, baseParams, client) {\n        const { content, options: { messageType }, } = data;\n        logger.debug('postContent to lex2', data);\n        let params;\n        // prepare params\n        if (messageType === 'voice') {\n            if (typeof content !== 'object') {\n                return Promise.reject(new Error('invalid content type'));\n            }\n            const inputStream = content instanceof Uint8Array ? content : await convert(content);\n            params = {\n                ...baseParams,\n                requestContentType: 'audio/x-l16; sample-rate=16000; channel-count=1',\n                inputStream,\n            };\n        }\n        else {\n            // text input\n            if (typeof content !== 'string')\n                return Promise.reject(new Error('invalid content type'));\n            params = {\n                ...baseParams,\n                requestContentType: 'text/plain; charset=utf-8',\n                inputStream: content,\n            };\n        }\n        // make API call to lex\n        try {\n            const recognizeUtteranceCommand = new RecognizeUtteranceCommand(params);\n            const resultData = await client.send(recognizeUtteranceCommand);\n            const response = await this._formatUtteranceCommandOutput(resultData);\n            this._reportBotStatus(response, botConfig);\n            return response;\n        }\n        catch (err) {\n            return Promise.reject(err);\n        }\n    }\n}\nexport const lexProvider = new 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