使用AWS-Lambda实现AWS-Lex实现

问题描述 投票:0回答:2

我必须将Amazon lex与Amazon lambda集成。我遇到了一个问题。我是新来的,所以请帮助我。我想要使​​用Lex索取产品。 “我在哪里可以找到肉”,肉将被存储到插槽'SearchProduct'然后它将在数据库中搜索并通过lex回复。就像“我在Aisle no 4中找到了肉”

通过在dynamodb中扫描,我能够获得Aisle no 4的值,但我无法发送响应。

 'use strict';

const AWS = require('aws-sdk');
const docClient = new AWS.DynamoDB.DocumentClient({ region: "us-east-1" });
var reply = ' ';


// --------------- Helpers to build responses which match the structure of the necessary dialog actions -----------------------

function elicitSlot(sessionAttributes, intentName, slots, slotToElicit, message, responseCard) {
    return {
        sessionAttributes,
        dialogAction: {
            type: 'ElicitSlot',
            intentName,
            slots,
            slotToElicit,
            message,
            responseCard,
        },
    };
}

function close(sessionAttributes, fulfillmentState, message, responseCard) {
    return {
        sessionAttributes,
        dialogAction: {
            type: 'Close',
            fulfillmentState,
            message,
            responseCard,
        },
    };
}

function delegate(sessionAttributes, slots) {
    return {
        sessionAttributes,
        dialogAction: {
            type: 'Delegate',
            slots,
        },
    };
}



// ---------------- Helper Functions --------------------------------------------------

// build a message for Lex responses
function buildMessage(messageContent) {
    return {
        contentType: 'PlainText',
        content: messageContent,
    };
}



// --------------- Functions that control the skill's behavior -----------------------

/**
 * Performs dialog management and fulfillment for ordering a beverage.
 * (we only support ordering a mocha for now)
 */
function ItemSearch(intentRequest, callback) {

    const outputSessionAttributes = intentRequest.sessionAttributes;
    const source = intentRequest.invocationSource;

    if (source === 'FulfillmentCodeHook') {
        const slots = intentRequest.currentIntent.slots;
        const requestProductName = (slots.SearchProduct ? slots.SearchProduct : null);

        var scanningParameters = {
            TableName: "my table name",
            ProjectionExpression: "#pro, Aisle",
            FilterExpression: "contains (#pro, :productname)",
            ExpressionAttributeNames: {
                "#pro": "ProductName",
            },
            ExpressionAttributeValues: {
                ":productname": requestProductName
            }
        };

        docClient.scan(scanningParameters, function(err, data) {
            if (err) {

                callback(close(outputSessionAttributes, 'Fulfilled', { contentType: 'PlainText', content: 'not found' }));
            }
            else {
                console.log(data);
                if (data.Count == 0) {
                    reply = 'not found';
                    callback(close(outputSessionAttributes, 'Fulfilled', { contentType: 'PlainText', content: 'not found' }));
                }
                else {
                    reply = requestProductName + ' can be found in Aisle No: ' + data.Items[0].Aisle;
                    callback(close(outputSessionAttributes, 'Fulfilled', { contentType: 'PlainText', content: requestProductName + ' can be found in Aisle No: ' + data.Items[0].Aisle }));

                }
            }
        });
    }

    callback(close(outputSessionAttributes, 'Fulfilled', {
        contentType: 'PlainText',
        content: `Thanks for using CoffeeBot! `  // i want the reply from the search here but i always end up with null
    }));
}

// --------------- Intents -----------------------

/**
 * Called when the user specifies an intent for this skill.
 */
function dispatch(intentRequest, callback) {

    console.log(`dispatch userId=${intentRequest.userId}, intent=${intentRequest.currentIntent.name}`);

    const name = intentRequest.currentIntent.name;

    // dispatch to the intent handlers
    if (name.startsWith('Product')) {
        return ItemSearch(intentRequest, callback);
    }
    throw new Error(`Intent with name ${name} not supported`);
}

// --------------- Main handler -----------------------

// Route the incoming request based on intent.
// The JSON body of the request is provided in the event slot.
exports.handler = (event, context, callback) => {

    console.log(JSON.stringify(event));

    try {
        console.log(`event.bot.name=${event.bot.name}`);

        // fail if this function is for a different bot
        if (!event.bot.name.startsWith('Aowi')) {
            callback('Invalid Bot Name');
        }
        dispatch(event, (response) => callback(null, response));
    }
    catch (err) {
        callback(err);
    }
};

我收到了搜索的回复,但我无法将回复发送给Lex。内容部分始终为空。

Response:
{
  "sessionAttributes": {},
  "dialogAction": {
    "type": "Close",
    "fulfillmentState": "Fulfilled",
    "message": {
      "contentType": "PlainText",
      "content": " "
    }
  }
}

Lex将发送名为'SearchProduct'=='meat'的插槽。

enter image description here

我不确定我做错了哪一部分。如果有人可以帮我改进代码,请欣赏它。谢谢

amazon-web-services aws-lambda amazon-dynamodb amazon-lex aws-lex
2个回答
0
投票

此错误是因为Amazon Lex期望以特定JSON格式进行响应。看起来你已经在Node.js中编写了代码。我不是节点专家,但我可以为您提供一个如何将响应发送回lex的工作示例。

代码流程如下:

意图调用 - > Lambda函数调用 - >(你的lamba代码运行并处理lex给出的数据) - >你生成一个响应发送回Lex - > Lex读取Response json并根据你返回的内容解释它。

def close(fulfillment_state, message):
response = {
    'dialogAction': {
        'type': 'Close',
        'fulfillmentState': fulfillment_state,
        'message': message
    }
}
return response
response_to_lex =  close('Fulfilled',{'contentType': 'PlainText','content': 'Message i want to send to lex'})

close函数为lex创建一个“Close”类型的fullfilment事件,并生成一个适当的响应消息。注意:type,fulfullmentState和message是必须传递回lex的必需参数。

这个链接有助于深入理解它:Lex Docs

另外在here上查看LEX和Node Lambda的文档,我可以看到调用dispatch函数的方法是不同的。但我在这里完全不正确。


0
投票

您必须以特定格式发送响应。对于Node.js,下面是示例

 const response = {
          dialogAction: {
                        type: "Close",
                        fulfillmentState: "Fulfilled",
                        message: {
                            contentType: "PlainText",
                            content: "i have found Meat in Aisle no 4"
                        }
                    }
                };
                callback(null, response);

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