Alexa 技能,自定义插槽 - 日期和时间
Alexa skill, custom slot - date and time
我创建了一项技能,我希望能够在特定日期和时间从我的发电机数据库调用机器状态 table。
我的第一列是日期,我的排序键是时间。
我是否需要为一年中所有 365 天的日期创建一个自定义时段,还是有更快的方法来做到这一点?我还需要为一天中的每一分钟创建一个自定义时段吗?
代码:
var AWSregion = 'us-east-1'; // us-east-1
var AWS = require('aws-sdk');
var dbClient = new AWS.DynamoDB.DocumentClient();
AWS.config.update({
region: "'us-east-1'"
});
let GetMachineStateIntent = (context, callback) => {
var params = {
TableName: "updatedincident",
Key: {
date: "2018-03-28",
time: "04:23",
}
};
dbClient.get(params, function (err, data) {
if (err) {
// failed to read from table for some reason..
console.log('failed to load data item:\n' + JSON.stringify(err, null, 2));
// let skill tell the user that it couldn't find the data
sendResponse(context, callback, {
output: "the data could not be loaded from your database",
endSession: false
});
} else {
console.log('loaded data item:\n' + JSON.stringify(data.Item, null, 2));
// assuming the item has an attribute called "incident"..
sendResponse(context, callback, {
output: data.Item.incident,
endSession: false
});
}
});
};
function sendResponse(context, callback, responseOptions) {
if(typeof callback === 'undefined') {
context.succeed(buildResponse(responseOptions));
} else {
callback(null, buildResponse(responseOptions));
}
}
function buildResponse(options) {
var alexaResponse = {
version: "1.0",
response: {
outputSpeech: {
"type": "SSML",
"ssml": `<speak><prosody rate="slow">${options.output}</prosody></speak>`
},
shouldEndSession: options.endSession
}
};
if (options.repromptText) {
alexaResponse.response.reprompt = {
outputSpeech: {
"type": "SSML",
"ssml": `<speak><prosody rate="slow">${options.reprompt}</prosody></speak>`
}
};
}
return alexaResponse;
}
exports.handler = (event, context, callback) => {
try {
var request = event.request;
if (request.type === "LaunchRequest") {
sendResponse(context, callback, {
output: "welcome to my skill. what data are you looking for?",
endSession: false
});
}
else if (request.type === "IntentRequest") {
let options = {};
if (request.intent.name === "GetMachineStateIntent") {
GetMachineStateIntent(context, callback);
} else if (request.intent.name === "AMAZON.StopIntent" || request.intent.name === "AMAZON.CancelIntent") {
sendResponse(context, callback, {
output: "ok. good bye!",
endSession: true
});
}
else if (request.intent.name === "AMAZON.HelpIntent") {
sendResponse(context, callback, {
output: "you can ask me about incidents that have happened",
reprompt: "what can I help you with?",
endSession: false
});
}
else {
sendResponse(context, callback, {
output: "I don't know that one! please try again!",
endSession: false
});
}
}
else if (request.type === "SessionEndedRequest") {
sendResponse(context, callback, ""); // no response needed
}
else {
// an unexpected request type received.. just say I don't know..
sendResponse(context, callback, {
output: "I don't know that one! please try again!",
endSession: false
});
}
} catch (e) {
// handle the error by logging it and sending back an failure
console.log('Unexpected error occurred in the skill handler!', e);
if(typeof callback === 'undefined') {
context.fail("Unexpected error");
} else {
callback("Unexpected error");
}
}
};
简短的回答是否
在您的交互模型中,您可以为日期和时间段提供以下内置槽类型:
- built-in 日期空档:https://developer.amazon.com/docs/custom-skills/slot-type-reference.html#date
- built-in 时段:https://developer.amazon.com/docs/custom-skills/slot-type-reference.html#time
文档解释了每种话语映射的类型。
例如,您可以在设置意图的地方创建一个交互模型,我们称之为 GetMachineStateIntent
,然后将以下话语映射到该模型:
what was the machine state at {Time} on {Date}
what was the state of the machine at {Time} on {Date}
what was the machine state at {Time} {Date}
what was the state of the machine at {Time} {Date}
what was the machine state on {Date} at {Time}
what was the state of the machine on {Date} {Time}
what was the machine state {Date} at {Time}
what was the state of the machine {Date} {Time}
在您的技能中,您将处理 GetMachineStateIntent
并且在请求中您将收到两个插槽中每个插槽的填充值。
作为第一步,在构建交互模型时,最好让 Alexa 简单地回复语音以确认它收到了您请求的日期和时间段值。
例如,您可以包括如下内容:
if (request.type === "IntentRequest" && request.intent.name == "GetMachineStateIntent") {
var dateSlot = request.intent.slots.Date != null ?
request.intent.slots.Date.value : "unknown date";
var timeSlot = request.intent.slots.Time != null ?
request.intent.slots.Time.value : "unknown time";
// respond with speech saying back what the skill thinks the user requested
sendResponse(context, callback, {
output: "You wanted the machine state at "
+ timeSlot + " on " + dateSlot,
endSession: true
});
}
我创建了一项技能,我希望能够在特定日期和时间从我的发电机数据库调用机器状态 table。
我的第一列是日期,我的排序键是时间。
我是否需要为一年中所有 365 天的日期创建一个自定义时段,还是有更快的方法来做到这一点?我还需要为一天中的每一分钟创建一个自定义时段吗?
代码:
var AWSregion = 'us-east-1'; // us-east-1
var AWS = require('aws-sdk');
var dbClient = new AWS.DynamoDB.DocumentClient();
AWS.config.update({
region: "'us-east-1'"
});
let GetMachineStateIntent = (context, callback) => {
var params = {
TableName: "updatedincident",
Key: {
date: "2018-03-28",
time: "04:23",
}
};
dbClient.get(params, function (err, data) {
if (err) {
// failed to read from table for some reason..
console.log('failed to load data item:\n' + JSON.stringify(err, null, 2));
// let skill tell the user that it couldn't find the data
sendResponse(context, callback, {
output: "the data could not be loaded from your database",
endSession: false
});
} else {
console.log('loaded data item:\n' + JSON.stringify(data.Item, null, 2));
// assuming the item has an attribute called "incident"..
sendResponse(context, callback, {
output: data.Item.incident,
endSession: false
});
}
});
};
function sendResponse(context, callback, responseOptions) {
if(typeof callback === 'undefined') {
context.succeed(buildResponse(responseOptions));
} else {
callback(null, buildResponse(responseOptions));
}
}
function buildResponse(options) {
var alexaResponse = {
version: "1.0",
response: {
outputSpeech: {
"type": "SSML",
"ssml": `<speak><prosody rate="slow">${options.output}</prosody></speak>`
},
shouldEndSession: options.endSession
}
};
if (options.repromptText) {
alexaResponse.response.reprompt = {
outputSpeech: {
"type": "SSML",
"ssml": `<speak><prosody rate="slow">${options.reprompt}</prosody></speak>`
}
};
}
return alexaResponse;
}
exports.handler = (event, context, callback) => {
try {
var request = event.request;
if (request.type === "LaunchRequest") {
sendResponse(context, callback, {
output: "welcome to my skill. what data are you looking for?",
endSession: false
});
}
else if (request.type === "IntentRequest") {
let options = {};
if (request.intent.name === "GetMachineStateIntent") {
GetMachineStateIntent(context, callback);
} else if (request.intent.name === "AMAZON.StopIntent" || request.intent.name === "AMAZON.CancelIntent") {
sendResponse(context, callback, {
output: "ok. good bye!",
endSession: true
});
}
else if (request.intent.name === "AMAZON.HelpIntent") {
sendResponse(context, callback, {
output: "you can ask me about incidents that have happened",
reprompt: "what can I help you with?",
endSession: false
});
}
else {
sendResponse(context, callback, {
output: "I don't know that one! please try again!",
endSession: false
});
}
}
else if (request.type === "SessionEndedRequest") {
sendResponse(context, callback, ""); // no response needed
}
else {
// an unexpected request type received.. just say I don't know..
sendResponse(context, callback, {
output: "I don't know that one! please try again!",
endSession: false
});
}
} catch (e) {
// handle the error by logging it and sending back an failure
console.log('Unexpected error occurred in the skill handler!', e);
if(typeof callback === 'undefined') {
context.fail("Unexpected error");
} else {
callback("Unexpected error");
}
}
};
简短的回答是否
在您的交互模型中,您可以为日期和时间段提供以下内置槽类型:
- built-in 日期空档:https://developer.amazon.com/docs/custom-skills/slot-type-reference.html#date
- built-in 时段:https://developer.amazon.com/docs/custom-skills/slot-type-reference.html#time
文档解释了每种话语映射的类型。
例如,您可以在设置意图的地方创建一个交互模型,我们称之为 GetMachineStateIntent
,然后将以下话语映射到该模型:
what was the machine state at {Time} on {Date}
what was the state of the machine at {Time} on {Date}
what was the machine state at {Time} {Date}
what was the state of the machine at {Time} {Date}
what was the machine state on {Date} at {Time}
what was the state of the machine on {Date} {Time}
what was the machine state {Date} at {Time}
what was the state of the machine {Date} {Time}
在您的技能中,您将处理 GetMachineStateIntent
并且在请求中您将收到两个插槽中每个插槽的填充值。
作为第一步,在构建交互模型时,最好让 Alexa 简单地回复语音以确认它收到了您请求的日期和时间段值。
例如,您可以包括如下内容:
if (request.type === "IntentRequest" && request.intent.name == "GetMachineStateIntent") {
var dateSlot = request.intent.slots.Date != null ?
request.intent.slots.Date.value : "unknown date";
var timeSlot = request.intent.slots.Time != null ?
request.intent.slots.Time.value : "unknown time";
// respond with speech saying back what the skill thinks the user requested
sendResponse(context, callback, {
output: "You wanted the machine state at "
+ timeSlot + " on " + dateSlot,
endSession: true
});
}