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Save kapilt/770bdf5d2a55b7385a9c to your computer and use it in GitHub Desktop.
| Log output | |
| The area below shows the logging calls in your code. These correspond to a single row within the CloudWatch log group corresponding to this Lambda function. Click here to view the CloudWatch log group. | |
| START RequestId: 2644abca-b08d-11e5-a8cb-e1cccca020f0 Version: $LATEST | |
| Unable to import module 'lambda_function': No module named lambda_function | |
| END RequestId: 2644abca-b08d-11e5-a8cb-e1cccca020f0 | |
| REPORT RequestId: 2644abca-b08d-11e5-a8cb-e1cccca020f0 Duration: 72.41 ms Billed Duration: 100 ms Memory Size: 128 MB Max Memory Used: 8 MB |
| from __future__ import print_function | |
| print("Loading Function") | |
| def lambda_handler(event, context): | |
| print("Got Here") | |
| return 1 |
| $ md5 lambda-2.zip | |
| md5 lambda-2.zip | |
| MD5 (lambda-2.zip) = f4da7d8e551e9214dc27ed9673d43ad4 |
| $ unzip -lv lambda-2.zip | |
| unzip -lv lambda-2.zip | |
| Archive: lambda-2.zip | |
| Length Method Size Ratio Date Time CRC-32 Name | |
| -------- ------ ------- ----- ---- ---- ------ ---- | |
| 138 Defl:N 112 19% 01-01-16 08:38 0a224fa9 lambda_function.py | |
| -------- ------- --- ------- | |
| 138 112 19% 1 file |
| zip -j lambda-2.zip f/lambda_function.py | |
| aws lambda create-function \ | |
| --region us-east-1 \ | |
| --runtime python2.7 \ | |
| --role "arn:aws:iam::11221122111:role/lambda_basic_execution" \ | |
| --description "testing venv problems" \ | |
| --timeout 10 \ | |
| --memory-size 128 \ | |
| --handler lambda_function.lambda_handler \ | |
| --zip-file fileb://lambda-2.zip \ | |
| --function-name maid-dev-test-2 |
Same here. Did you find a solution?
From the docs:
Zip the directory content, not the directory.
Zipping the contents and not the directory itself worked like a charm for me.
What distribution are you using to build the zip file? I had this issue with the zip command in centos 6. Switched to Ubuntu without any trouble. And apparently I'm not the only one having problems uploading zip files to lambda.
Make sure the file that you zip is world-wide readable before zipping it. (min chmod 444). I added chmod u=rwx,go=r before zipping and everything worked fine.
@mlapida Simple and straightforwad solution!
@mlapida it worked
not working my code
alexa lambda function-
import urllib2
import json
API_BASE="http://bartjsonapi.elasticbeanstalk.com/api"
def lambda_handler(event, context):
if (event["session"]["application"]["applicationId"] !=
"amzn1.echo-sdk-ams.app.bd304b90-xxxx-xxxx-xxxx-xxxxd4772bab"):
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"])
def on_session_started(session_started_request, session):
print("Starting new session.")
def on_launch(launch_request, session):
return get_welcome_response()
def on_intent(intent_request, session):
intent = intent_request["intent"]
intent_name = intent_request["intent"]["name"]
if intent_name == "GetStatus":
return get_system_status()
elif intent_name == "GetElevators":
return get_elevator_status()
elif intent_name == "GetTrainTimes":
return get_train_times(intent)
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):
print("Ending session.")
# Cleanup goes here...
def handle_session_end_request():
card_title = "BART - Thanks"
speech_output = "Thank you for using the BART skill. See you next time!"
should_end_session = True
return build_response({}, build_speechlet_response(card_title, speech_output, None, should_end_session))
def get_welcome_response():
session_attributes = {}
card_title = "BART"
speech_output = "Welcome to the Alexa BART times skill. "
"You can ask me for train times from any station, or "
"ask me for system status or elevator status reports."
reprompt_text = "Please ask me for trains times from a station, "
"for example Fremont."
should_end_session = False
return build_response(session_attributes, build_speechlet_response(
card_title, speech_output, reprompt_text, should_end_session))
def get_system_status():
session_attributes = {}
card_title = "BART System Status"
reprompt_text = ""
should_end_session = False
response = urllib2.urlopen(API_BASE + "/status")
bart_system_status = json.load(response)
speech_output = "There are currently " + bart_system_status["traincount"] + " trains operating. "
if len(bart_system_status["message"]) > 0:
speech_output += bart_system_status["message"]
else:
speech_output += "The trains are running normally."
return build_response(session_attributes, build_speechlet_response(
card_title, speech_output, reprompt_text, should_end_session))
def get_elevator_status():
session_attributes = {}
card_title = "BART Elevator Status"
reprompt_text = ""
should_end_session = False
response = urllib2.urlopen(API_BASE + "/elevatorstatus")
bart_elevator_status = json.load(response)
speech_output = "BART elevator status. " + bart_elevator_status["bsa"]["description"]
return build_response(session_attributes, build_speechlet_response(
card_title, speech_output, reprompt_text, should_end_session))
def get_train_times(intent):
session_attributes = {}
card_title = "BART Departures"
speech_output = "I'm not sure which station you wanted train times for. "
"Please try again."
reprompt_text = "I'm not sure which station you wanted train times for. "
"Try asking about Fremont or Powell Street for example."
should_end_session = False
if "Station" in intent["slots"]:
station_name = intent["slots"]["Station"]["value"]
station_code = get_station_code(station_name.lower())
if (station_code != "unkn"):
card_title = "BART Departures from " + station_name.title()
response = urllib2.urlopen(API_BASE + "/departures/" + station_code)
station_departures = json.load(response)
speech_output = "Train departures from " + station_name + " are as follows: "
for destination in station_departures["etd"]:
speech_output += "Towards " + destination["destination"] + " on platform " + destination["estimate"][0]["platform"] + ". ";
for estimate in destination["estimate"]:
if estimate["minutes"] == "Leaving":
speech_output += "Leaving now: "
elif estimate["minutes"] == "1":
speech_output += "In one minute: "
else:
speech_output += "In " + estimate["minutes"] + " minutes: "
speech_output += estimate["length"] + " car train. "
reprompt_text = ""
return build_response(session_attributes, build_speechlet_response(
card_title, speech_output, reprompt_text, should_end_session))
def get_station_code(station_name):
return {
"12th street oakland city center": "12th",
"16th street mission": "16th",
"19th street oakland": "19th",
"24th street mission": "24th",
"ashby": "ashb",
"balboa park": "balb",
"bay fair": "bayf",
"castro valley": "cast",
"civic center": "civc",
"coliseum": "cols",
"colma": "colm",
"concord": "conc",
"daly city": "daly",
"downtown berkeley": "dbrk",
"dublin pleasanton": "dubl",
"el cerrito del norte": "deln",
"del norte": "deln",
"el cerrito plaza": "plza",
"embarcadero": "embr",
"fremont": "frmt",
"fruitvale": "ftvl",
"glen park": "glen",
"hayward": "hayw",
"lafayette": "lafy",
"lake merritt": "lake",
"macarthur": "mcar",
"millbrae": "mlbr",
"montgomery street": "mont",
"north berkeley": "nbrk",
"north concord martinez": "ncon",
"oakland airport": "oakl",
"orinda": "orin",
"pittsburg bay point": "pitt",
"pleasant hill": "phil",
"powell street": "powl",
"richmond": "rich",
"rockridge": "rock",
"san bruno": "sbrn",
"san francisco airport": "sfia",
"san leandro": "sanl",
"south hayward": "shay",
"south san francisco": "ssan",
"union city": "ucty",
"walnut creek": "wcrk",
"west dublin pleasanton": "wdub",
"west oakland": "woak",
}.get(station_name, "unkn")
def build_speechlet_response(title, output, reprompt_text, should_end_session):
return {
"outputSpeech": {
"type": "PlainText",
"text": output
},
"card": {
"type": "Simple",
"title": title,
"content": 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
}
error- Unable to import module 'lambda': No module named 'urllib2'
Did you figure out the
Unable to import module 'lambda_function': No module named lambda_functionthing? I'm having same issue and it's driving me nuts!