I am writing a lambda function with an intent that uses requests to pull information from a Wolfram CloudObject. Here is the relevant part of the code:
from __future__ import print_function
import requests
.
.
.
def on_intent(intent_request, session):
print("on_intent requestID=" + intent_request['requestID'] + ", sessionID=" + session['sessionId'])
intent = intent_request['intent']
intent_name = intent_request['intent']['name']
# Dispatch to skill's intent handlers
if intent_name == "GetEvent":
return call_wolfram(intent, session)
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")
.
.
.
# Functions that control skill's behavior
def call_wolfram(intent, session):
url = "https://path-to-cloud-object"
query = {'string1': 'VESSEL', 'string2': 'EVENT', 'RelString': 'TRIGGERED'}
r = requests.get(url, params=query)
session_attributes = {"r_result": r}
speech_output = "Congrats, dummy! It worked"
card_title = "Query"
should_end_session = True
return build_response({}, build_speechlet_response(card_title, speech_output, None, should_end_session)
Most of the rest of the code follows the MyColorIs
example template given by AWS with minimal changes. When the lambda function is tested, the error message gives me a json file with stackTrace; I've narrowed down the issue to the lines of code r = requests.get()
and session_attributes = {}
, because when commented out, the lambda execution is successful. This is my first project with python, so I am new to the language as well. For good measure, here is the error message I get after lambda executes:
{
"stackTrace": [
[
"/var/task/query_lambda.py",
27,
"lambda_handler",
"return on_intent(event['request'], event['session'])"
],
[
"/var/task/query_lambda.py",
65,
"on_intent",
"return call_wolfram(intent, session)"
],
[
"/var/task/query_lambda.py",
113,
"call_wolfram",
"r = requests.get(url, params=query)"
],
[
"/var/task/requests/api.py",
71,
"get",
"return request('get', url, params=params, **kwargs)"
],
[
"/var/task/requests/api.py",
57,
"request",
"return session.request(method=method, url=url, **kwargs)"
],
[
"/var/task/requests/sessions.py",
475,
"request",
"resp = self.send(prep, **send_kwargs)"
],
[
"/var/task/requests/sessions.py",
585,
"send",
"r = adapter.send(request, **kwargs)"
],
[
"/var/task/requests/adapters.py",
477,
"send",
"raise SSLError(e, request=request)"
]
],
"errorType": "SSLError",
"errorMessage": "[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed (_ssl.c:590)"
}
The lambda environment does not include the certifi module, unless you upload it with your function.
I would do this:
cd <directory with your lambda>
pip install certifi -t .
zip ../lambda *
Then upload the ../lambda.zip to Amazon.
You can read more about requests' use of certificates here:
http://docs.python-requests.org/en/master/user/advanced/
There are two ways to get around this problem:
Ignore the certificates altogether by passing verify=False
to requests.get
:
r = requests.get(url, params=query, verify=False)
The second method is quicker, but less secure; that may or may not matter for your intended use.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With