我正在Python 3.6中编写一个Lambda函数，它将Alexa技能连接到一个非常浅的MySQL数据库。我对lambda函数超时有些困难;我一直有时间错误。这是（最近的）错误：
{ “errorMessage”：“2018-04-11T00：29：23.341Z 49ebf0c0-3d1f-11e8-899e-61ea93a8a4cb任务在30.03秒后超时” }
我不认为这是我的代码。这就是原因。我基于Amazon Alexa Color Lambda'蓝图'构建了我的lambda，但该模板也不适用于我。我还尝试使用AWS CLI使用模板创建不同的lambdas，并得到相同的“Timed Out”错误。
这是我用来创建lambdas的命令：
aws lambda create-function \
--region us-east-1 \
--function-name WallyFlow \
--zip-file fileb://~/wallyflow_lambda.zip \
--runtime python3.6 \
--profile wallyflow_admin \
--timeout 30 \
--memory-size 1024 \
--handler wallyflow_lambda.handler \
--role arn:aws:iam::517237838660:role/lambda-s3-execution-role
注意：我正在使用此方法，因为我需要部署包来包含mysql库。
我尝试过不同的lambda函数（甚至不使用mysql的程序），将超时时间增加到300，并将内存加倍到2048.
我的想法是问题在于角色或个人资料，但是，即使我已经阅读了官方文档和补充材料，我也很难确定问题所在。
有人可以帮忙吗？
我已将下面的lambda函数包含在出现问题的概率中。
import MySQLdb
db = MySQLdb.connect(user="*****",
passwd="*****",
port=*****,
host="*****",
db="*****")
cursor = db.cursor()
def build_speechlet_response(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 build_response(session_attributes, speechlet_response):
return {
'version': '1.0',
'sessionAttributes': session_attributes,
'response': speechlet_response
}
########################################################
def get_welcome_response():
session_attributes={}
card_title = "Welcome"
speech_output = "Welcome to Wally Flow, mindfulness with Walabot and Alexa."\
"How can I help you?"
reprompt_text = "I'm sorry. I didn't catch that." \
"How can I help you?"
should_end_session = False
return build_response(session_attributes,
build_speechlet_response(card_title,speech_output,
reprompt_text,should_end_session))
def get_mst_response():
session_attributes={}
card_title = "Maximum Still Time"
sql = "SELECT MaxStillTime FROM wallyflowdb.mstTable ORDER BY initTime DESC LIMIT 1"
cursor.execute(sql)
mst = cursor.fetchone()
speech_output = "Your maximum still time is set to {}.".format(mst[0])
reprompt_text = None
should_end_session = False
return build_response(session_attributes,
build_speechlet_response(card_title,speech_output,
reprompt_text,should_end_session))
def get_mc_response():
session_attributes={}
card_title="Move Count"
sql = "SELECT MoveCount FROM wallyflowdb.mcTable ORDER BY initTime DESC LIMIT 1"
cursor.execute(sql)
mc = cursor.fetchone()
speech_output = "Your current movement count is {}.".format(mc[0])
reprompt_text = None
should_end_session = False
return build_response(session_attributes,
build_speechlet_response(card_title,speech_output,
reprompt_text,should_end_session))
def get_stillTime_response():
session_attributes={}
card_title="Stillness Time"
sql = "SELECT StillTime FROM wallyflowdb.stillTable ORDER BY initTime DESC LIMIT 1"
cursor.execute(sql)
stillTime = cursor.fetchone()
speech_output = "Your current movement count is {}.".format(stillTime[0])
reprompt_text=None
should_end_session=False
return build_response(session_attributes,
build_speechlet_response(card_title,speech_output,
reprompt_text,should_end_session))
def get_lmt_response():
session_attributes={}
card_title="Last Move Time"
sql = "SELECT LastMoveTime FROM wallyflowdb.lmtTable ORDER BY initTime DESC LIMIT 1"
cursor.execute(sql)
lmt = cursor.fetchone()
speech_output = "Your last move time was {}".format(lmt[0])
reprompt_text=None
should_end_session=False
return build_response(session_attributes,
build_speechlet_response(card_title,speech_output,
reprompt_text,should_end_session))
def get_startTime_response():
session_attributes = {}
card_title="Start Time"
sql = "SELECT StartTime FROM wallyflowdb.stTable ORDER BY initTime DESC LIMIT 1"
cursor.execute(sql)
startTime = cursor.fetchone()
speech_output = "You started this mindfulness session at {}".format(startTime[0])
reprompt_text=None
should_end_session=False
return build_response(session_attributes,
build_speechlet_response(card_title,speech_output,
reprompt_text,should_end_session))
def handle_session_end_request():
card_title = "Session Ended"
speech_output = "Thank you for using Wally Flow, mindfulness with Walabot and Alexa."\
"Have a mindful day!"
should_end_session = True
return build_response({}, build_speechlet_response(
card_title, speech_output, None, should_end_session))
###########################################################################
#Events
def on_session_started(session_started_request, session):
#Called when session starts
print("on_session_started requestId=" + session_started_request['requestId']
+", sessionId=" +session['sessionId'])
def on_launch(launch_request, session):
#Called when the user launches the skill without specifiying what they want
print("on_launch requestId=" + launch_request['requestId'] +
" , sessionId =" + session['sessionId'])
#Dispatch to your skill's launch
return get_welcome_response()
def on_intent(intent_request, session):
#Called when the user specifies an intent for this skill
print("on_intent requestId =" + intent_request['requestId'] +
", sessiodId=" + session['sessionId'])
intent = intent_request['intent']
intent_name = intent_request['intent']['name']
if intent_name == "MaxStillTimeIntent":
return get_mst_response()
elif intent_name == "MoveCountIntent":
return get_mc_response()
elif intent_name == "StillTimeIntent":
return get_stillTime_response()
elif intent_name == "LastMoveTimeIntent":
return get_lmt_response()
elif intent_name == "StartTimeIntent":
return get_startTime_response()
elif intent_name == "AMAZON.HelpIntent":
return get_welcome_response()
elif intent_name == "AMAZON.CANCELIntent" or intent_name == "AMAZON.StopIntent":
return handle_session_end_request()
else:
raise ValueError("Invalid intent")
def on_session_ended(session_ended_request, session):
#Called when the user ends the session
#Not called when the skil returns should_ends_session=True
print("on_session_ended requestId=" + session_ended_request['requestId'] +
", sessionId=" + session['sessionId'])
#add cleanup logic here
###############################################################
#Main Handler
def wallyflow_lambda(event, context):
"""
Route the incoming request based on type (LaunchRequest, IntentRequest, etc.)
The JSON body of the request is provided in the event parameter
"""
print("event.session.application.applicationId=" +
event['session']['application']['applicationId'])
if (event['session']['application']['applicationId'] !=
"amzn1.ask.skill.1a61b436-2b39-448c-a2bb-1ad391fe666b"):
raise ValueError("Invalid Application ID")
if event['session']['new']:
on_session_started({'requestId': event['request']['requestId']},event['session'])
if event['request']['type'] == "LaunchRequest":
return on_launch(event['request'],event['session'])
elif event['request']['type'] == "IntentRequest":
return on_intent(event['request'], event['session'])
elif event['request']['type'] == "SessionEndedRequest":
return on_session_ended(event['request'], event['session'])