我正在 python 的 AWS Lambda 中开发一个 Amazon Lex 聊天机器人，它将进行 API 后调用并获得 JSON 字符串中的响应，如下所示
'{"_id":"598045d12e1f98980a00001e","unique_id":"ed7e4e17c7db499caee576a7761512","cerebro":{"_id":"59451b239db9fa8b0a000004","acc_id":"533a9f0d2eda783019000002","name":"cerebro","access_id":"g01n0XTwoYfEWSIP","access_token":"3Yxw8ZiUlfSPsbEVLI6Z93vZyKyBFFIV"},"bot":{"_id":"59452f42dbd13ad867000001","name":"helloword"},"rundata":{"arguments":"","target":"local"},"state":"created","queue_id":null,"s_ts":null,"e_ts":null,"response":{},"responses":[],"summary":null,"resolve_incident":false,"err":null}'
但是我只对id值感兴趣，所以我将json转换为字典，如下所示并获取id值
res = requests.post(botrun_api, json=botrun_payload, headers=headers)
data = json.loads(res.content)
new_id=json_data.get('_id', None)
return new_id
如果我在 Lambda 控制台中测试代码，我将获得输出
AWS Lambda 控制台中的输出
但是我在我的聊天机器人中得到的输出如下
I was unable to process your message. DependencyFailedException: Invalid Lambda Response: Received invalid response from Lambda: Can not construct instance of IntentResponse: no String-argument constructor/factory method to deserialize from String value ('59832ba22e1f98980a00009b') at [Source: "59832ba22e1f98980a00009b"; line: 1, column: 1]
我的源代码如下：
import math
import dateutil.parser
import datetime
import time
import os
import logging
import requests
import uuid
logger = logging.getLogger()
logger.setLevel(logging.DEBUG)
""" --- Helpers to build responses which match the structure of the necessary dialog actions --- """
def get_slots(intent_request):
return intent_request['currentIntent']['slots']
def elicit_slot(session_attributes, intent_name, slots, slot_to_elicit, message):
return {
'sessionAttributes': session_attributes,
'dialogAction': {
'type': 'ElicitSlot',
'intentName': intent_name,
'slots': slots,
'slotToElicit': slot_to_elicit,
'message': message
}
}
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
}
}
""" --- Helper Functions --- """
def parse_int(n):
try:
return int(n)
except ValueError:
return float('nan')
def build_validation_result(is_valid, violated_slot, message_content):
if message_content is None:
return {
"isValid": is_valid,
"violatedSlot": violated_slot,
}
return {
'isValid': is_valid,
'violatedSlot': violated_slot,
'message': {'contentType': 'PlainText', 'content': message_content}
}
def APIbot(intent_request):
"""
Performs dialog management and fulfillment for cluster configuration input arguments.
Beyond fulfillment, the implementation of this intent demonstrates the use of the elicitSlot dialog action
in slot validation and re-prompting.
"""
value1 = get_slots(intent_request)["myval1"]
value2 = get_slots(intent_request)["myval2"]
intense_type = get_slots(intent_request)["Instance"]
source = intent_request['invocationSource']
api_endpoint = 'url'
api_creds = {
'apiuser': 'user',
'apikey': 'key'
}
#trigger a bot run
botrun_api = api_endpoint + '/botruns'
botrun_payload = {
"botname":"helloword",
"arguments":"",
"target":"local",
"unique_id": uuid.uuid4().hex[:30] #unique run id - 30 chars max
}
headers = {
'Content-Type': 'application/json',
'Authorization': 'Key apiuser=%(apiuser)s apikey=%(apikey)s' % api_creds
}
res = requests.post(botrun_api, json=botrun_payload, headers=headers)
data = json.loads(res.content)
new_id=json_data.get('_id', None)
return new_id
# Instiate a cluster setup, and rely on the goodbye message of the bot to define the message to the end user.
# In a real bot, this would likely involve a call to a backend service.
return close(intent_request['sessionAttributes'],
'Fulfilled',
{'contentType': 'PlainText',
'content': 'Thanks, your values are {} and {} '.format(value1, value2)})
""" --- 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 == 'my_Values':
return APIbot(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)
请帮助我提前解决这个问题，谢谢:)
Lambda 显示您的函数在仅返回new_id时成功，因为它不关心响应的格式。
连接到 AWS Lex 时，响应必须采用 AWS 定义的响应格式。
在上面的示例中，您可以在close方法中传递new_id，以通过 Lex 输出响应：
return close(intent_request['sessionAttributes'],
'Fulfilled',
{'contentType': 'PlainText',
'content': str(new_id)}
您还需要删除return new_id语句。