我是否从默认代码正确地迁移到我的测试代码？
Did i migrate from the default code to my testing one properly?
我想创建一个使用 Lex 界面的聊天机器人，作为第一步，我发现了一个 ScheduleAppointment 默认机器人，所以我决定对其进行调整。此机器人中的默认提示是 date、time 和 appointmenttype。作为第一步，我开始使用蓝图 lex-make-appointment-python https://console.aws.amazon.com/lambda/home?region=us-east-1#/create/new?bp=lex-make-appointment-python 并且不得不更改那里的许多默认内容，例如它有确切的约会时间和日期等，而我之前想要使用的版本在 lambda 中进一步开发它需要 ANY TIME 和 ANY DAY 例如，如果我要求安排约会 tomorrow，我不会得到错误，但是如果机器人要求日期，我输入了 hfujdhfu 或 banana 之类的内容，我应该再次询问 what is the date?。
所说和所做的一切都是我调整后的代码版本：
import json
import dateutil.parser
import datetime
import time
import os
import math
import random
import logging
logger = logging.getLogger()
logger.setLevel(logging.DEBUG)
""" --- Helpers to build responses which match the structure of the necessary dialog actions --- """
def elicit_slot(session_attributes, intent_name, slots, slot_to_elicit, message, response_card):
return {
'sessionAttributes': session_attributes,
'dialogAction': {
'type': 'ElicitSlot',
'intentName': intent_name,
'slots': slots,
'slotToElicit': slot_to_elicit,
'message': message,
'responseCard': response_card
}
}
def confirm_intent(session_attributes, intent_name, slots, message, response_card):
return {
'sessionAttributes': session_attributes,
'dialogAction': {
'type': 'ConfirmIntent',
'intentName': intent_name,
'slots': slots,
'message': message,
'responseCard': response_card
}
}
def close(session_attributes, fulfillment_state, message):
response = {
'sessionAttributes': session_attributes,
'dialogAction': {
'type': 'Close',
'fulfillmentState': fulfillment_state,
'message': message
}
}
return response
def delegate(session_attributes, slots):
return {
'sessionAttributes': session_attributes,
'dialogAction': {
'type': 'Delegate',
'slots': slots
}
}
def build_response_card(title, subtitle, options):
"""
Build a responseCard with a title, subtitle, and an optional set of options which should be displayed as buttons.
"""
buttons = None
if options is not None:
buttons = []
for i in range(min(5, len(options))):
buttons.append(options[i])
return {
'contentType': 'application/vnd.amazonaws.card.generic',
'version': 1,
'genericAttachments': [{
'title': title,
'subTitle': subtitle,
'buttons': buttons
}]
}
""" --- Helper Functions --- """
def parse_int(n):
try:
return int(n)
except ValueError:
return float('nan')
def try_ex(func):
"""
Call passed in function in try block. If KeyError is encountered return None.
This function is intended to be used to safely access dictionary.
Note that this function would have negative impact on performance.
"""
try:
return func()
except KeyError:
return None
def isvalid_date(date):
try:
dateutil.parser.parse(date)
return True
except ValueError:
return False
def build_time_output_string(appointment_time):
hour, minute = appointment_time.split(':') # no conversion to int in order to have original string form. for eg) 10:00 instead of 10:0
if int(hour) > 12:
return '{}:{} p.m.'.format((int(hour) - 12), minute)
elif int(hour) == 12:
return '12:{} p.m.'.format(minute)
elif int(hour) == 0:
return '12:{} a.m.'.format(minute)
return '{}:{} a.m.'.format(hour, minute)
def make_appointment(intent_request):
"""
Performs dialog management and fulfillment for booking a dentists appointment.
Beyond fulfillment, the implementation for this intent demonstrates the following:
1) Use of elicitSlot in slot validation and re-prompting
2) Use of confirmIntent to support the confirmation of inferred slot values, when confirmation is required
on the bot model and the inferred slot values fully specify the intent.
"""
appointment_type = intent_request['currentIntent']['slots']['AppointmentType']
date = intent_request['currentIntent']['slots']['Date']
appointment_time = intent_request['currentIntent']['slots']['Time']
source = intent_request['invocationSource']
output_session_attributes = intent_request['sessionAttributes'] if intent_request['sessionAttributes'] is not None else {}
booking_map = json.loads(try_ex(lambda: output_session_attributes['bookingMap']) or '{}')
if source == 'DialogCodeHook':
# Perform basic validation on the supplied input slots.
slots = intent_request['currentIntent']['slots']
if not appointment_type:
return elicit_slot(
output_session_attributes,
intent_request['currentIntent']['name'],
intent_request['currentIntent']['slots'],
'AppointmentType',
{'contentType': 'PlainText', 'content': 'What type of appointment would you like to schedule?'},
build_response_card(
'Specify Appointment Type', 'What type of appointment would you like to schedule?',
build_options('AppointmentType', appointment_type, date, None)
)
)
if appointment_type and not date:
return elicit_slot(
output_session_attributes,
intent_request['currentIntent']['name'],
intent_request['currentIntent']['slots'],
'Date',
{'contentType': 'PlainText', 'content': 'When would you like to schedule your {}?'.format(appointment_type)},
build_response_card(
'Specify Date',
'When would you like to schedule your {}?'.format(appointment_type),
build_options('Date', appointment_type, date, None)
)
)
)
message_content = 'What time on {} works for you? '.format(date)
if appointment_time:
output_session_attributes['formattedTime'] = build_time_output_string(appointment_time)
)
available_time_string = build_available_time_string(appointment_type_availabilities)
return elicit_slot(
output_session_attributes,
intent_request['currentIntent']['name'],
slots,
'Time',
{'contentType': 'PlainText', 'content': '{}{}'.format(message_content, available_time_string)},
build_response_card(
'Specify Time',
'What time works best for you?',
build_options('Time', appointment_type, date, booking_map)
)
)
return delegate(output_session_attributes, slots)
duration = get_duration(appointment_type)
""" --- Intents --- """
def dispatch(intent_request):
"""
Called when the user specifies an intent for this bot.
"""
logger.debug('dispatch userId={}, intentName={}'.format(intent_request['userId'], intent_request['currentIntent']['name']))
intent_name = intent_request['currentIntent']['name']
# Dispatch to your bot's intent handlers
if intent_name == 'MakeAppointment':
return make_appointment(intent_request)
raise Exception('Intent with name ' + intent_name + ' not supported')
""" --- Main handler --- """
def lambda_handler(event, context):
"""
Route the incoming request based on intent.
The JSON body of the request is provided in the event slot.
"""
# By default, treat the user request as coming from the America/New_York time zone.
os.environ['TZ'] = 'America/New_York'
time.tzset()
logger.debug('event.bot.name={}'.format(event['bot']['name']))
return dispatch(event)
第 171 行和第 175 行有 )，没有任何 (，这肯定会导致语法错误。许多代码行无法访问，因为您在它们之前编码 return 但这些不会导致语法错误。
您可以在 Cloudwatch 上查看日志。
您使用的蓝图非常复杂，对新手不友好。你真的应该使用 this 蓝图开始。这是我的建议。
此外，由于您使用的是 response_card，因此请注意响应卡不会显示在 Lex 控制台中 window。不过它可以在 Facebook 和 Slack 中使用。
我想创建一个使用 Lex 界面的聊天机器人，作为第一步，我发现了一个 ScheduleAppointment 默认机器人，所以我决定对其进行调整。此机器人中的默认提示是 date、time 和 appointmenttype。作为第一步，我开始使用蓝图 lex-make-appointment-python https://console.aws.amazon.com/lambda/home?region=us-east-1#/create/new?bp=lex-make-appointment-python 并且不得不更改那里的许多默认内容，例如它有确切的约会时间和日期等，而我之前想要使用的版本在 lambda 中进一步开发它需要 ANY TIME 和 ANY DAY 例如，如果我要求安排约会 tomorrow，我不会得到错误，但是如果机器人要求日期，我输入了 hfujdhfu 或 banana 之类的内容，我应该再次询问 what is the date?。
所说和所做的一切都是我调整后的代码版本：
import json
import dateutil.parser
import datetime
import time
import os
import math
import random
import logging
logger = logging.getLogger()
logger.setLevel(logging.DEBUG)
""" --- Helpers to build responses which match the structure of the necessary dialog actions --- """
def elicit_slot(session_attributes, intent_name, slots, slot_to_elicit, message, response_card):
return {
'sessionAttributes': session_attributes,
'dialogAction': {
'type': 'ElicitSlot',
'intentName': intent_name,
'slots': slots,
'slotToElicit': slot_to_elicit,
'message': message,
'responseCard': response_card
}
}
def confirm_intent(session_attributes, intent_name, slots, message, response_card):
return {
'sessionAttributes': session_attributes,
'dialogAction': {
'type': 'ConfirmIntent',
'intentName': intent_name,
'slots': slots,
'message': message,
'responseCard': response_card
}
}
def close(session_attributes, fulfillment_state, message):
response = {
'sessionAttributes': session_attributes,
'dialogAction': {
'type': 'Close',
'fulfillmentState': fulfillment_state,
'message': message
}
}
return response
def delegate(session_attributes, slots):
return {
'sessionAttributes': session_attributes,
'dialogAction': {
'type': 'Delegate',
'slots': slots
}
}
def build_response_card(title, subtitle, options):
"""
Build a responseCard with a title, subtitle, and an optional set of options which should be displayed as buttons.
"""
buttons = None
if options is not None:
buttons = []
for i in range(min(5, len(options))):
buttons.append(options[i])
return {
'contentType': 'application/vnd.amazonaws.card.generic',
'version': 1,
'genericAttachments': [{
'title': title,
'subTitle': subtitle,
'buttons': buttons
}]
}
""" --- Helper Functions --- """
def parse_int(n):
try:
return int(n)
except ValueError:
return float('nan')
def try_ex(func):
"""
Call passed in function in try block. If KeyError is encountered return None.
This function is intended to be used to safely access dictionary.
Note that this function would have negative impact on performance.
"""
try:
return func()
except KeyError:
return None
def isvalid_date(date):
try:
dateutil.parser.parse(date)
return True
except ValueError:
return False
def build_time_output_string(appointment_time):
hour, minute = appointment_time.split(':') # no conversion to int in order to have original string form. for eg) 10:00 instead of 10:0
if int(hour) > 12:
return '{}:{} p.m.'.format((int(hour) - 12), minute)
elif int(hour) == 12:
return '12:{} p.m.'.format(minute)
elif int(hour) == 0:
return '12:{} a.m.'.format(minute)
return '{}:{} a.m.'.format(hour, minute)
def make_appointment(intent_request):
"""
Performs dialog management and fulfillment for booking a dentists appointment.
Beyond fulfillment, the implementation for this intent demonstrates the following:
1) Use of elicitSlot in slot validation and re-prompting
2) Use of confirmIntent to support the confirmation of inferred slot values, when confirmation is required
on the bot model and the inferred slot values fully specify the intent.
"""
appointment_type = intent_request['currentIntent']['slots']['AppointmentType']
date = intent_request['currentIntent']['slots']['Date']
appointment_time = intent_request['currentIntent']['slots']['Time']
source = intent_request['invocationSource']
output_session_attributes = intent_request['sessionAttributes'] if intent_request['sessionAttributes'] is not None else {}
booking_map = json.loads(try_ex(lambda: output_session_attributes['bookingMap']) or '{}')
if source == 'DialogCodeHook':
# Perform basic validation on the supplied input slots.
slots = intent_request['currentIntent']['slots']
if not appointment_type:
return elicit_slot(
output_session_attributes,
intent_request['currentIntent']['name'],
intent_request['currentIntent']['slots'],
'AppointmentType',
{'contentType': 'PlainText', 'content': 'What type of appointment would you like to schedule?'},
build_response_card(
'Specify Appointment Type', 'What type of appointment would you like to schedule?',
build_options('AppointmentType', appointment_type, date, None)
)
)
if appointment_type and not date:
return elicit_slot(
output_session_attributes,
intent_request['currentIntent']['name'],
intent_request['currentIntent']['slots'],
'Date',
{'contentType': 'PlainText', 'content': 'When would you like to schedule your {}?'.format(appointment_type)},
build_response_card(
'Specify Date',
'When would you like to schedule your {}?'.format(appointment_type),
build_options('Date', appointment_type, date, None)
)
)
)
message_content = 'What time on {} works for you? '.format(date)
if appointment_time:
output_session_attributes['formattedTime'] = build_time_output_string(appointment_time)
)
available_time_string = build_available_time_string(appointment_type_availabilities)
return elicit_slot(
output_session_attributes,
intent_request['currentIntent']['name'],
slots,
'Time',
{'contentType': 'PlainText', 'content': '{}{}'.format(message_content, available_time_string)},
build_response_card(
'Specify Time',
'What time works best for you?',
build_options('Time', appointment_type, date, booking_map)
)
)
return delegate(output_session_attributes, slots)
duration = get_duration(appointment_type)
""" --- Intents --- """
def dispatch(intent_request):
"""
Called when the user specifies an intent for this bot.
"""
logger.debug('dispatch userId={}, intentName={}'.format(intent_request['userId'], intent_request['currentIntent']['name']))
intent_name = intent_request['currentIntent']['name']
# Dispatch to your bot's intent handlers
if intent_name == 'MakeAppointment':
return make_appointment(intent_request)
raise Exception('Intent with name ' + intent_name + ' not supported')
""" --- Main handler --- """
def lambda_handler(event, context):
"""
Route the incoming request based on intent.
The JSON body of the request is provided in the event slot.
"""
# By default, treat the user request as coming from the America/New_York time zone.
os.environ['TZ'] = 'America/New_York'
time.tzset()
logger.debug('event.bot.name={}'.format(event['bot']['name']))
return dispatch(event)
第 171 行和第 175 行有 )，没有任何 (，这肯定会导致语法错误。许多代码行无法访问，因为您在它们之前编码 return 但这些不会导致语法错误。
您可以在 Cloudwatch 上查看日志。
您使用的蓝图非常复杂，对新手不友好。你真的应该使用 this 蓝图开始。这是我的建议。
此外，由于您使用的是 response_card，因此请注意响应卡不会显示在 Lex 控制台中 window。不过它可以在 Facebook 和 Slack 中使用。