如何让 Alexa 正确响应：Alexa, ask (tell) [invocation name] (linking word if any) [intent Utterances]？
how to make Alexa correctly respond to: Alexa, ask (tell) [invocation name] (linking word if any) [intent Utterances]?
当我说，"Alexa, open/launch/start Mighty Righty"
她按预期回应。当我说 "Alexa, ASK mighty Righty who is right, me or you" 时，她没有启动该应用程序，只是说："Sorry, I don't know that one." 我实际上因此无法通过亚马逊应用程序认证的功能验证（我认为）。这是功能测试的结果：
1 需要修复
在保持技能会话打开的同时，技能不应在重新提示中响应空文本或 SSML 的意图请求。
当技能会话打开时，该技能会以空的语音重新提示响应用户。请注意，当技能会话打开时，技能不应 return 空文本或对技能中任何支持的意图的无声 ssml 响应。
下面是用静默重新提示响应的意图列表。
意图名称 - playerBio，话语 - 谁是对的我或她
意图名称 - playerBio, 话语 - alexa 问我或我的 children
意图名称 - playerBio，话语 - 谁是对的我还是你
我试过 LaunchRequest
意图请求
会话结束请求
但我不是编码员。我只是跟着教程走了这么远。我只需要修复亚马逊 "RUN" 测试发现的那个错误。我将能够发布该应用程序。
#------------------------------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 meeeeee", "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 = ""
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 = ""
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
我希望错误消息“1 Fixed Required”消失。我将能够将我的应用程序提交给亚马逊。请帮我发布我的应用程序！
问题很清楚，在代码中有体现。您有空的重新提示，这是不允许的。您需要在所有有 reprompt_MSG = ""
的地方放置重新提示文本
当我说，"Alexa, open/launch/start Mighty Righty" 她按预期回应。当我说 "Alexa, ASK mighty Righty who is right, me or you" 时，她没有启动该应用程序，只是说："Sorry, I don't know that one." 我实际上因此无法通过亚马逊应用程序认证的功能验证（我认为）。这是功能测试的结果：
1 需要修复
在保持技能会话打开的同时，技能不应在重新提示中响应空文本或 SSML 的意图请求。
当技能会话打开时，该技能会以空的语音重新提示响应用户。请注意，当技能会话打开时，技能不应 return 空文本或对技能中任何支持的意图的无声 ssml 响应。
下面是用静默重新提示响应的意图列表。
意图名称 - playerBio，话语 - 谁是对的我或她
意图名称 - playerBio, 话语 - alexa 问我或我的 children
意图名称 - playerBio，话语 - 谁是对的我还是你
我试过 LaunchRequest 意图请求 会话结束请求 但我不是编码员。我只是跟着教程走了这么远。我只需要修复亚马逊 "RUN" 测试发现的那个错误。我将能够发布该应用程序。
#------------------------------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 meeeeee", "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 = ""
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 = ""
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
我希望错误消息“1 Fixed Required”消失。我将能够将我的应用程序提交给亚马逊。请帮我发布我的应用程序！
问题很清楚，在代码中有体现。您有空的重新提示，这是不允许的。您需要在所有有 reprompt_MSG = ""