то я хочу сделать:

Пользователь загружает CSV-файл в корзину AWS S3.После загрузки файла S3 Bucket вызывает лямбда-функцию, которую я создал.Моя лямбда-функция читает содержимое файла csv, а затем отправляет электронное письмо с содержанием файла

Местная среда

Безсерверный фреймворк версия 1.22.0

Python 2.7

Вот мой файл serverless.yml

service: aws-python # NOTE: update this with your service name

provider:
  name: aws
  runtime: python2.7
  stage: dev
  region: us-east-1
  iamRoleStatements:
        - Effect: "Allow"
          Action:
              - s3:*
              - "ses:SendEmail"
              - "ses:SendRawEmail"
              - "s3:PutBucketNotification"
          Resource: "*"

functions:
  csvfile:
    handler: handler.csvfile
    description: send mail whenever a csv file is uploaded on S3 
    events:
      - s3:
          bucket: mine2
          event: s3:ObjectCreated:*
          rules:
            - suffix: .csv

и вот моя лямбда-функция:

import json
import boto3
import botocore
import logging
import sys
import traceback
import csv

from botocore.exceptions import ClientError
from pprint import pprint
from time import strftime, gmtime
from json import dumps, loads, JSONEncoder, JSONDecoder


#setup simple logging for INFO
logger = logging.getLogger()
logger.setLevel(logging.INFO)

from botocore.exceptions import ClientError

def csvfile(event, context):
    """Send email whenever a csvfile is uploaded to S3 """
    body = {}
    emailcontent = ''
    status_code = 200
    #set email information
    email_from = '****@*****.com'
    email_to = '****@****.com'
    email_subject = 'new file is uploaded'
    try:
        s3 = boto3.resource(u's3')
        s3 = boto3.client('s3')
        for record in event['Records']:
            filename = record['s3']['object']['key']
            filesize = record['s3']['object']['size']
            source = record['requestParameters']['sourceIPAddress']
            eventTime = record['eventTime']
        # get a handle on the bucket that holds your file
        bucket = s3.Bucket(u'mine2')
        # get a handle on the object you want (i.e. your file)
        obj = bucket.Object(key= event[u'Records'][0][u's3'][u'object'][u'key'])
        # get the object
        response = obj.get()
        # read the contents of the file and split it into a list of lines
        lines = response[u'Body'].read().split()
        # now iterate over those lines
        for row in csv.DictReader(lines):    
            print(row)
            emailcontent = emailcontent + '\n' + row 
    except Exception as e:
        print(traceback.format_exc())
        status_code = 500
        body["message"] = json.dumps(e)

    email_body = "File Name: " + filename + "\n" + "File Size: " + str(filesize) + "\n" +  "Upload Time: " + eventTime + "\n" + "User Details: " + source + "\n" + "content of the csv file :" + emailcontent
    ses = boto3.client('ses')
    ses.send_email(Source = email_from,
        Destination = {'ToAddresses': [email_to,],}, 
            Message = {'Subject': {'Data': email_subject}, 'Body':{'Text' : {'Data': email_body}}}
            )
    print('Function execution Completed')

я не знаю, что я сделал не так, потому что часть, когда я просто получаю информацию о файле, работает нормально, когда я добавляю часть для чтения, лямбда-функция ничего не возвращает