“ Alexa，打开Mighty Righty”可以调用我发布的技能，但是如果用户说“ Alexa，问我或我的丈夫Mighty Righty是谁，”该怎么做？< / p>
https://www.amazon.com/dp/B07SGBR24G/
这是已发布的技能的链接。
#------------------------------Part1--------------------------------
# In this part we define a list that contains the player names, and
# a dictionary with player biographies
Player_LIST = ["me or my wife", "me or my husband", "me or you"]
Player_BIOGRAPHY = {"me or my wife": ["She is. Do as she says, and you'll be OK.", "You", "Of course, your wife", "No doubt, it's you"],
"me or my husband": ["He is", "You are right", "He is not right", "Your husband. He is always right."],
"me or you": ["me", "You are, ... I mean... you are wrong, of course", "of course me", "It's me, don't you know that, my friend?", "you yourself, what do you think? Of course it's me", "I always know who is right, me or not me, so, it's me", "what do you think? I am Mighty Righty, so I am RIGHT"]}
#------------------------------Part2--------------------------------
# Here we define our Lambda function and configure what it does when
# an event with a Launch, Intent and Session End Requests are sent. # The Lambda function responses to an event carrying a particular
# Request are handled by functions such as on_launch(event) and
# intent_scheme(event).
def lambda_handler(event, context):
if event['session']['new']:
on_start()
if event['request']['type'] == "LaunchRequest":
return on_launch(event)
elif event['request']['type'] == "IntentRequest":
return intent_scheme(event)
elif event['request']['type'] == "SessionEndedRequest":
return on_end()
#------------------------------Part3--------------------------------
# Here we define the Request handler functions
def on_start():
print("Session Started.")
def on_launch(event):
onlunch_MSG = "Hi, start with the word. Me. For example: who is right, me or my husband?"
reprompt_MSG = "you can say, who is right, me or my wife?"
card_TEXT = "Who is right, me or... ?."
card_TITLE = "Choose your question."
return output_json_builder_with_reprompt_and_card(onlunch_MSG, card_TEXT, card_TITLE, reprompt_MSG, False)
def on_end():
print("Session Ended.")
#-----------------------------Part3.1-------------------------------
# The intent_scheme(event) function handles the Intent Request.
# Since we have a few different intents in our skill, we need to
# configure what this function will do upon receiving a particular
# intent. This can be done by introducing the functions which handle
# each of the intents.
def intent_scheme(event):
intent_name = event['request']['intent']['name']
if intent_name == "playerBio":
return player_bio(event)
elif intent_name in ["AMAZON.NoIntent", "AMAZON.StopIntent", "AMAZON.CancelIntent"]:
return stop_the_skill(event)
elif intent_name == "AMAZON.HelpIntent":
return assistance(event)
elif intent_name == "AMAZON.FallbackIntent":
return fallback_call(event)
#---------------------------Part3.1.1-------------------------------
# Here we define the intent handler functions
import random # this can be at the top of the file too
def player_bio(event):
name=event['request']['intent']['slots']['player']['value']
player_list_lower=[w.lower() for w in Player_LIST]
if name.lower() in player_list_lower:
reprompt_MSG = "Try to say something like. who is right me or them"
card_TEXT = "You've picked " + name.lower()
card_TITLE = "You've picked " + name.lower()
return output_json_builder_with_reprompt_and_card(random.choice(Player_BIOGRAPHY[name.lower()]), card_TEXT, card_TITLE, reprompt_MSG, False)
else:
wrongname_MSG = "Some questions may not yet be present in my database. Try to rephrase your sentence."
reprompt_MSG = "For example, who is right, me or my wife?"
card_TEXT = "Use the full question."
card_TITLE = "Wrong question."
return output_json_builder_with_reprompt_and_card(wrongname_MSG, card_TEXT, card_TITLE, reprompt_MSG, False)
def stop_the_skill(event):
stop_MSG = "Bye for now and feel free to ask mighty righty who is right"
reprompt_MSG = "next time just tell me. Open Mighty righty"
card_TEXT = "Bye."
card_TITLE = "Bye Bye."
return output_json_builder_with_reprompt_and_card(stop_MSG, card_TEXT, card_TITLE, reprompt_MSG, True)
def assistance(event):
assistance_MSG = "start with the word. Me."
reprompt_MSG = "For example, who is right me or him"
card_TEXT = "You've asked for help."
card_TITLE = "Help"
return output_json_builder_with_reprompt_and_card(assistance_MSG, card_TEXT, card_TITLE, reprompt_MSG, False)
def fallback_call(event):
fallback_MSG = "Try to say, for example, who is right, me or him?"
reprompt_MSG = "Certain answers may not yet be in my database. Use personal pronouns, for example: me, or her, me, or him, me, or them. They can cover pretty much everybody"
card_TEXT = "You've asked a wrong question."
card_TITLE = "Wrong question."
return output_json_builder_with_reprompt_and_card(fallback_MSG, card_TEXT, card_TITLE, reprompt_MSG, False)
#------------------------------Part4--------------------------------
# The response of our Lambda function should be in a json format.
# That is why in this part of the code we define the functions which
# will build the response in the requested format. These functions
# are used by both the intent handlers and the request handlers to
# build the output.
def plain_text_builder(text_body):
text_dict = {}
text_dict['type'] = 'PlainText'
text_dict['text'] = text_body
return text_dict
def reprompt_builder(repr_text):
reprompt_dict = {}
reprompt_dict['outputSpeech'] = plain_text_builder(repr_text)
return reprompt_dict
def card_builder(c_text, c_title):
card_dict = {}
card_dict['type'] = "Simple"
card_dict['title'] = c_title
card_dict['content'] = c_text
return card_dict
def response_field_builder_with_reprompt_and_card(outputSpeach_text, card_text, card_title, reprompt_text, value):
speech_dict = {}
speech_dict['outputSpeech'] = plain_text_builder(outputSpeach_text)
speech_dict['card'] = card_builder(card_text, card_title)
speech_dict['reprompt'] = reprompt_builder(reprompt_text)
speech_dict['shouldEndSession'] = value
return speech_dict
def output_json_builder_with_reprompt_and_card(outputSpeach_text, card_text, card_title, reprompt_text, value):
response_dict = {}
response_dict['version'] = '1.0'
response_dict['response'] = response_field_builder_with_reprompt_and_card(outputSpeach_text, card_text, card_title, reprompt_text, value)
return response_dict
这是JSON文件。可能略有不同，因为出于这个问题的目的，我试图尽可能缩短文件的长度，但这并不重要，因为此处的主要组件都在当前的工作应用程序中。
{
"interactionModel": {
"languageModel": {
"invocationName": "mighty righty",
"intents": [
{
"name": "AMAZON.FallbackIntent",
"samples": []
},
{
"name": "AMAZON.CancelIntent",
"samples": []
},
{
"name": "AMAZON.HelpIntent",
"samples": []
},
{
"name": "AMAZON.StopIntent",
"samples": []
},
{
"name": "playerBio",
"slots": [
{
"name": "player",
"type": "playerNames"
}
],
"samples": [
"who is right {player}"
]
},
{
"name": "AMAZON.NoIntent",
"samples": []
},
{
"name": "AMAZON.NavigateHomeIntent",
"samples": []
}
],
"types": [
{
"name": "playerNames",
"values": [
{
"name": {
"value": "me or you",
"synonyms": [
"you or me"
]
}
},
{
"name": {
"value": "me or them",
"synonyms": [
"I am or they are",
"I am or them",
"I am or they",
"I or they are",
"I or them",
"me or they are",
"me or they"
]
}
},
{
"name": {
"value": "me or him",
"synonyms": [
"I or him",
"I or he",
"I'm or he is",
"I'm or him",
"me or he is",
"me or he's"
]
}
},
{
"name": {
"value": "me or her",
"synonyms": [
"I'm or she's",
"I am or she is",
"I'm or she",
"I'm or her",
"me or she is",
"me or she"
]
}
},
{
"name": {
"value": "me or my wife",
"synonyms": [
"me or my wifey"
]
}
},
{
"name": {
"value": "me or my husband",
"synonyms": [
"my husband"
]
}
}
]
}
]
}
}
}
顺便说一句，您可以看到有同义词，但是Alexa不会使用它们。很好的例子：
Alexa，是对的，我还是你？ （有效）
Alexa，谁是对的，您还是我？ （无效）
但是在JSON中它说：
"value": "me or you",
"synonyms": [
"you or me"
]
但是我认为我需要再问一个问题...
我去了Alexa开发人员控制台的“测试”选项卡，写道：
“ alexa，请威武的对不起，我还是我的丈夫”
她说：
嗯，我不知道。
JSON输入和输出窗口中没有任何内容，但是我在设备日志中找到了这一行：
[21：11：35：676]-事件：Text.TextMessage
我单击那里，它打开了它（如果需要的话）：
{
"event": {
"header": {
"namespace": "Text",
"name": "TextMessage",
"messageId": "messageId",
"dialogRequestId": "numbers-and-letters-separated-with-sashes-that-i-deletedxxxxxxxxxxxxxxxxxxxxxxxxxxx506"
},
"payload": {
"textMessage": "alexa, ask mighty righty who is right, me or my husband"
}
},
"context": [
{
"header": {
"namespace": "System",
"name": "SettingsState",
"payloadVersion": "1"
},
"payload": {
"settings": [
{
"key": "com.amazon.alexa.characteristics.viewport.experiences",
"value": "[{\"arcMinuteWidth\":\"246\",\"arcMinuteHeight\":\"144\",\"canRotate\":\"false\",\"canResize\":\"false\"}]"
},
{
"key": "com.amazon.alexa.characteristics.viewport.shape",
"value": "RECTANGLE"
},
{
"key": "com.amazon.alexa.characteristics.viewport.pixelWidth",
"value": "1024"
},
{
"key": "com.amazon.alexa.characteristics.viewport.pixelHeight",
"value": "600"
},
{
"key": "com.amazon.alexa.characteristics.viewport.dpi",
"value": "160"
},
{
"key": "com.amazon.alexa.characteristics.viewport.currentPixelWidth",
"value": "1024"
},
{
"key": "com.amazon.alexa.characteristics.viewport.currentPixelHeight",
"value": "600"
},
{
"key": "com.amazon.alexa.characteristics.viewport.touch",
"value": "[\"SINGLE\"]"
},
{
"key": "com.amazon.alexa.characteristics.viewport.video",
"value": "{\"codecs\": [\"H_264_42\",\"H_264_41\"]}"
}
]
}
},
{
"header": {
"namespace": "SpeechSynthesizer",
"name": "SpeechState"
},
"payload": {
"token": "amzn1.as-ct.v1.ThirdPartySdkSpeechlet#ACRI#ValidatedSpeakDirective_amzn1.ask.skill.some-kind-of-numbers-and-letters-here-i-deleted-it_they-are-seperated-with-dashes-and-1-underscore-in-the-middlexxxxxxxxxxxxxxxxxxxxxxxx",
"offsetInMilliseconds": 1000,
"playerActivity": "FINISHED"
}
},
{
"header": {
"namespace": "AudioPlayer",
"name": "PlaybackState"
},
"payload": {
"token": "",
"offsetInMilliseconds": 0,
"playerActivity": "IDLE"
}
},
{
"header": {
"namespace": "Alerts",
"name": "AlertsState"
},
"payload": {
"activeAlerts": [],
"allAlerts": []
}
},
{
"header": {
"namespace": "AudioFocusManager",
"name": "AudioFocusState"
},
"payload": {
"dialog": {
"component": "SpeechSynthesizer",
"idleTimeInMilliseconds": 0
}
}
}
]
}
之后，下一个日志
[21：11：36：703]-指令：SkillDebugger.CaptureDebuggingInfo
说
{
"header": {
"namespace": "SkillDebugger",
"name": "CaptureDebuggingInfo",
"messageId": "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx38"
},
"payload": {
"skillId": null,
"timestamp": "2019-06-02T01:11:34.189Z",
"dialogRequestId": "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx506",
"skillRequestId": null,
"type": "ConsideredIntents",
"content": {
"intents": [
{
"name": "<IntentForDifferentSkill>",
"confirmationStatus": null,
"slots": null
},
{
"name": "<IntentForDifferentSkill>",
"confirmationStatus": null,
"slots": null
},
{
"name": "<IntentForDifferentSkill>",
"confirmationStatus": null,
"slots": null
}
]
}
}
}
下一个[21：11：36：932]-指令：SpeechSynthesizer.Speak：
{
"header": {
"namespace": "SpeechSynthesizer",
"name": "Speak",
"messageId": "xxxxxxxxxxxxxxxxxxxxxxxxxxx",
"dialogRequestId": "xxxxxxxxxxxxxxxxxxxxxxxxxxx506",
"keys": {
"isBlocking": true,
"channel": "audio"
}
},
"payload": {
"caption": "Hmm, I don't know that.",
"url": "https://tinytts.amazon.com/path to file here/resource.mp3",
"format": "AUDIO_MPEG",
"token": "amzn1.as-ct.v1.Domain:Global:Fallback#ACRI#DeviceTTSRendererV4_xxxxxxxxx5c",
"ssml": "<speak><prosody volume=\"x-loud\">Hmm, I don't know that.</prosody><metadata><promptMetadata><promptId>NotUnderstood</promptId><namespace>SmartDJ.MusicQA</namespace><locale>en_US</locale><overrideId>default</overrideId><variant>2017_Variant 5</variant><condition/><weight>1</weight><stageVersion>Adm-xxxxxxxxxxxxxx</stageVersion></promptMetadata></metadata></speak>"
}
}
还有其他一些日志，就是这样，这就是我所发现的。
预期结果：
实际结果：
如您所见，获得回应的方式更长（取决于Mighty Righty的欢迎回应）
请帮忙！ （我不是编码人员，我只是按照教程进行操作
答案 0 :(得分：3)
当Alexa无法理解技能以外的输入，因此无法识别您的要求或使用的技能时，会出现此错误消息“嗯，我不知道”。因此，广告位或意图不应该是错误。
Alexa捕获语音输入时，它不会插入任何标点符号，而诸如逗号之类的标点符号似乎破坏了Alexa理解输入的能力。
因此，在使用Alexa Console测试聊天时，请勿在文本输入中输入任何标点符号。
在进行语音测试时，请清楚地输入您的输入，并仔细检查您的日志以查看Alexa如何解释语音。您使用的技能越多，Alexa就应该学会更好地正确捕获关键字。