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.
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