lambda.awsgsce.py

import json
import webrecon.gcse as gcse


def handler(context, event):
    return build_response(gsce.search(event))

def build_response(body=[], status=200):
    response_object = {
        "isBase64Encoded": "false",
        "statusCode": status,
        "body": json.dumps(body),
        "headers": {
            "Access-Control-Allow-Origin": "*",
            "Access-Control-Allow-Methods":
                "DELETE,GET,HEAD,OPTIONS,PATCH,POST,PUT",
            "Access-Control-Allow-Headers":
                "Content-Type,Authorization,X-Amz-Date,X-Api-Key,X-Amz-Security-Token"}}

    return response_object

web_recon.gcse.py

# Format the query and response objects into something a bit easier to process
# with computermabobs.
def search(q, key, cx, **kwargs):
    """
    execute a robust search against google cse and tokanize (process) the results into something we can use
    **kwargs is extra searching arguments you pass in as key-value pairs.
    
    """
    api = build("customsearch", "v1", developerKey=key, kwargs)
    res = api.cse().list(q=q, cx=cx, **kwargs).execute() # add in extra searching params for smash needs
    return map(_tokanize, res)

def _tokanize(doc):
    """
    clean out any useless data and create a plain-word document of the body.
    put the plain-word document along with other things like price into a list of result dictionaries
    """
    tokens = doc # do actual work to get required information from response
    return doc