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类" 和肉将被存储到插槽' SearchProduct' 然后它将在数据库中搜索并通过lex回复。 喜欢"我在Aisle no 4"
找到了肉在这里,我可以通过在dynamodb中扫描来获得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' =='肉类。
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
答案 0 :(得分:0)
This error is because Amazon Lex expects responses in a certain JSON format. From what looks like you have written the code in Node.js. I am not a node expert but i can provide you a working example of how i send response back to lex.
The flow of the code goes something like this:
Intent called -> Lambda function invoked -> (Your lamba code runs and process the data given by lex) -> You generate a response to send back to Lex -> Lex reads the Response json and interprets it based on what you have returned.
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'})
The close function creates a "Close" type fullfilment event for lex, and generates an appropriate response message. Note: type, fulfullmentState, and message are compulsory parameters that needs to be passed back to lex.
This link can be helpful to understand it in depth: Lex Docs
Also looking at the documentation for LEX and Node Lambda at here i can see that the method to call the dispatch function is different. But i could be entirely incorrect here.
答案 1 :(得分:0)
您必须以特定格式发送响应。以下是Node.js的示例
const response = {
dialogAction: {
type: "Close",
fulfillmentState: "Fulfilled",
message: {
contentType: "PlainText",
content: "i have found Meat in Aisle no 4"
}
}
};
callback(null, response);