在 Python 中为 Alexa 技能添加会话属性

问题描述

我的意图模式中有 3 个插槽(account、dollar_value、recipient_first)用于 Alexa 技能，我想保存任何插槽由演讲者在会话属性中提供.

I have 3 slots (account, dollar_value, recipient_first) within my intent schema for an Alexa skill and I want to save whatever slots are provided by the speaker in the session Attributes.

我使用以下方法设置会话属性:

I am using the following methods to set session attributes:

def create_dollar_value_attribute(dollar_value):
    return {"dollar_value": dollar_value}

def create_account_attribute(account):
    return {"account": account}

def create_recipient_first_attribute(recipient_first):
    return {"recipient_first": recipient_first}

然而，正如您可能猜到的，如果我想在 sessionAttributes 中保存多个插槽作为数据，sessionAttributes 将被覆盖，如下所示:>

However, as you may guess, if I want to save more than one slot as data in sessionAttributes, the sessionAttributes is overwritten as in the following case:

session_attributes = {}
if session.get('attributes', {}) and "recipient_first" not in session.get('attributes', {}):
        recipient_first = intent['slots']['recipient_first']['value']
        session_attributes = create_recipient_first_attribute(recipient_first)


if session.get('attributes', {}) and "dollar_value" not in session.get('attributes', {}):
        dollar_value = intent['slots']['dollar_value']['value']
        session_attributes = create_dollar_value_attribute(dollar_value)

来自我的 lambda 函数对语音输入的 JSON 响应，其中提供了两个插槽(dollar_value 和 recipient_first)如下(我的猜测是 第二个 if 语句中的 create_dollar_value_attribute 方法覆盖了第一个):

The JSON response from my lambda function for a speech input in which two slots (dollar_value and recipient_first) were provided is as follows (my guess is that the create_dollar_value_attribute method in the second if statement is overwriting the first):

{
  "version": "1.0",
  "response": {
    "outputSpeech": {
      "type": "PlainText",
      "text": "Some text output"
    },
    "card": {
      "content": "SessionSpeechlet - Some text output",
      "title": "SessionSpeechlet - Send Money",
      "type": "Simple"
    },
    "reprompt": {
      "outputSpeech": {
        "type": "PlainText"
      }
    },
    "shouldEndSession": false
  },
  "sessionAttributes": {
    "dollar_value": "30"
  }
}

sessionAttributes 的正确响应应该是:

"sessionAttributes": {
    "dollar_value": "30",
    "recipient_first": "Some Name"
  },

如何创建此回复?有没有更好的方法在 JSON 响应中为 sessionAttributes 添加值?

How do I create this response? Is there a better way to add values to sessionAttributes in the JSON response?

推荐答案

在我看来，使用 Python 添加 sessionAttributes 的最简单方法似乎是使用字典.例如，如果您想在会话属性中存储一些插槽以备将来使用:

The easiest way to add sessionAttributes with Python in my opinion seems to be by using a dictionary. For example, if you want to store some of the slots for future in the session attributes:

session['attributes']['slotKey'] = intent['slots']['slotKey']['value']

接下来，您可以将其传递给构建响应方法:

Next, you can just pass it on to the build response method:

buildResponse(session['attributes'], buildSpeechletResponse(title, output, reprompt, should_end_session))

本例中的实现:

def buildSpeechletResponse(title, output, reprompt_text, should_end_session):
return {
    'outputSpeech': {
        'type': 'PlainText',
        'text': output
    },
    'card': {
        'type': 'Simple',
        'title': "SessionSpeechlet - " + title,
        'content': "SessionSpeechlet - " + output
    },
    'reprompt': {
        'outputSpeech': {
            'type': 'PlainText',
            'text': reprompt_text
        }
    },
    'shouldEndSession': should_end_session
    }


def buildResponse(session_attributes, speechlet_response):
    return {
        'version': '1.0',
        'sessionAttributes': session_attributes,
        'response': speechlet_response
    }

这会以推荐的方式在 Lambda 响应 JSON 中创建 sessionAttributes.

This creates the sessionAttributes in the recommended way in the Lambda response JSON.

如果最后一个不存在，也只是添加一个新的 sessionAttribute 不会覆盖它.它只会创建一个新的键值对.

Also just adding a new sessionAttribute doesn't overwrite the last one if it doesn't exist. It will just create a new key-value pair.

请注意，这可能在服务模拟器中运行良好，但在实际 Amazon Echo 上测试时可能会返回关键属性错误.根据这个帖子,

Do note, that this may work well in the service simulator but may return a key attribute error when testing on an actual Amazon Echo. According to this post,

在 Service Simulator 上，会话以 Session:{ ... Attributes:{}, ... } 开始当会话在 Echo 上开始时，会话根本没有 Attributes 键.

On Service Simulator, sessions starts with Session:{ ... Attributes:{}, ... }When sessions start on the Echo, Session does not have an Attributes key at all.

我解决这个问题的方法是在创建新会话时在 lambda 处理程序中手动创建它:

The way I worked around this was to just manually create it in the lambda handler whenever a new session is created:

 if event['session']['new']:
    event['session']['attributes'] = {}
    onSessionStarted( {'requestId': event['request']['requestId'] }, event['session'])
if event['request']['type'] == 'IntentRequest':
    return onIntent(event['request'], event['session'])

这篇关于在 Python 中为 Alexa 技能添加会话属性的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！