AWS SNS - использование Lamda для отправки уведомления со ссылкой на изображение, загруженное в корзину.

Question

from __future__ import print_function
import boto3
from decimal import Decimal
import json
import urllib

print('Loading function')

rekognition = boto3.client('rekognition')
client = boto3.client('sns')

def detect_labels(bucket, key):
    response = rekognition.detect_labels(Image={"S3Object": {"Bucket": bucket, "Name": key}})
    return response

# --------------- Main handler ------------------
def lambda_handler(event, context):
    bucket = event['Records'][0]['s3']['bucket']['name']
    key = urllib.unquote_plus(event['Records'][0]['s3']['object']['key'].encode('utf8'))
    try:
        # Calls rekognition DetectFaces API to detect faces in S3 object
        #response = detect_faces(bucket, key)

        # Calls rekognition DetectLabels API to detect labels in S3 object
        response = detect_labels(bucket, key)
        tosend=""
        for Label in response["Labels"]:
            #print(Label["Name"] + Label["Confidence"])
            if (Label["Name"] in ("Human","Person")):
                print('Name of item detected {0}-level of accuracy{1}%'.format(Label["Name"],Label["Confidence"]))
                #tosend+='Name of item detected |==>  {0}  with a Level of accurancy |==>  {1}%'.format(Label["Name"],Label["Confidence"])
                #tosend+="Unknown face detected " + s3.genereate_tosend( 'get_object',Params = {'Bucket': bucket_name, 'Key': file_key})
                generate_presigned_url = s3.genereate_presigned_url( 'get_object',Params = {'Bucket': bucket_name, 'Key': file_key})


        # Calls rekognition IndexFaces API to detect faces in S3 object and index faces into specified collection
        #response = index_faces(bucket, key)

        # Print response to console.
        print(response)
        message = client.publish(TargetArn='arn:aws:sns:us-east-1:112589004333:Inform-me', Message=generate_presigned_url, Subject='Intelligent Security System')

        return response
    except Exception as e:
        print(e)
        print("Error processing object {} from bucket {}. ".format(key, bucket) +
              "Make sure your object and bucket exist and your bucket is in the same region as this function.")
        raise e