AWS Lambda 错误没有名为 'StringIO' 的模块或没有名为 'StringIO' 的模块
AWS Lambda error No module named 'StringIO' or No module named 'StringIO'
我尝试使用 AWS Lambda 进行群发邮件，我们使用的代码如下 link：
https://aws.amazon.com/cn/premiumsupport/knowledge-center/mass-email-ses-lambda/
from __future__ import print_function
import StringIO
import csv
import json
import os
import urllib
import zlib
from time import strftime, gmtime
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
import boto3
import botocore
import concurrent.futures
__author__ = 'Said Ali Samed'
__date__ = '10/04/2016'
__version__ = '1.0'
# Get Lambda environment variables
region = os.environ['us-east-1']
max_threads = os.environ['10']
text_message_file = os.environ['email_body.txt']
html_message_file = os.environ['email_body.html']
# Initialize clients
s3 = boto3.client('s3', region_name=region)
ses = boto3.client('ses', region_name=region)
send_errors = []
mime_message_text = ''
mime_message_html = ''
def current_time():
return strftime("%Y-%m-%d %H:%M:%S UTC", gmtime())
def mime_email(subject, from_address, to_address, text_message=None, html_message=None):
msg = MIMEMultipart('alternative')
msg['Subject'] = subject
msg['From'] = from_address
msg['To'] = to_address
if text_message:
msg.attach(MIMEText(text_message, 'plain'))
if html_message:
msg.attach(MIMEText(html_message, 'html'))
return msg.as_string()
def send_mail(from_address, to_address, message):
global send_errors
try:
response = ses.send_raw_email(
Source=from_address,
Destinations=[
to_address,
],
RawMessage={
'Data': message
}
)
if not isinstance(response, dict): # log failed requests only
send_errors.append('%s, %s, %s' % (current_time(), to_address, response))
except botocore.exceptions.ClientError as e:
send_errors.append('%s, %s, %s, %s' %
(current_time(),
to_address,
', '.join("%s=%r" % (k, v) for (k, v) in e.response['ResponseMetadata'].iteritems()),
e.message))
def lambda_handler(event, context):
global send_errors
global mime_message_text
global mime_message_html
try:
# Read the uploaded csv file from the bucket into python dictionary list
bucket = event['Records'][0]['s3']['bucket']['name']
key = urllib.unquote_plus(event['Records'][0]['s3']['object']['key']).decode('utf8')
response = s3.get_object(Bucket=bucket, Key=key)
body = zlib.decompress(response['Body'].read(), 16+zlib.MAX_WBITS)
reader = csv.DictReader(StringIO.StringIO(body),
fieldnames=['from_address', 'to_address', 'subject', 'message'])
# Read the message files
try:
response = s3.get_object(Bucket=bucket, Key=text_message_file)
mime_message_text = response['Body'].read()
except:
mime_message_text = None
print('Failed to read text message file. Did you upload %s?' % text_message_file)
try:
response = s3.get_object(Bucket=bucket, Key=html_message_file)
mime_message_html = response['Body'].read()
except:
mime_message_html = None
print('Failed to read html message file. Did you upload %s?' % html_message_file)
if not mime_message_text and not mime_message_html:
raise ValueError('Cannot continue without a text or html message file.')
# Send in parallel using several threads
e = concurrent.futures.ThreadPoolExecutor(max_workers=max_threads)
for row in reader:
from_address = row['from_address'].strip()
to_address = row['to_address'].strip()
subject = row['subject'].strip()
message = mime_email(subject, from_address, to_address, mime_message_text, mime_message_html)
e.submit(send_mail, from_address, to_address, message)
e.shutdown()
except Exception as e:
print(e.message + ' Aborting...')
raise e
print('Send email complete.')
# Remove the uploaded csv file
try:
response = s3.delete_object(Bucket=bucket, Key=key)
if 'ResponseMetadata' in response.keys() and response['ResponseMetadata']['HTTPStatusCode'] == 204:
print('Removed s3://%s/%s' % (bucket, key))
except Exception as e:
print(e)
# Upload errors if any to S3
if len(send_errors) > 0:
try:
result_data = '\n'.join(send_errors)
logfile_key = key.replace('.csv.gz', '') + '_error.log'
response = s3.put_object(Bucket=bucket, Key=logfile_key, Body=result_data)
if 'ResponseMetadata' in response.keys() and response['ResponseMetadata']['HTTPStatusCode'] == 200:
print('Send email errors saved in s3://%s/%s' % (bucket, logfile_key))
except Exception as e:
print(e)
raise e
# Reset publish error log
send_errors = []
if __name__ == "__main__":
json_content = json.loads(open('event.json', 'r').read())
lambda_handler(json_content, None)
但是当我选择 python 时出现问题 2.7.the 错误是
module initialization error 'us-east-1'
当我选择python 3.6时，错误是
Unable to import module 'lambda_function': No module named 'StringIO'
谁能告诉我这是什么问题？
从 Python v3 开始，StringIO module has gone。相反，导入 io 模块并使用 io.StringIO.
v27版本的问题，推测是以下语句失败：
region = os.environ['us-east-1']
如果 us-east-1 不是可用的环境变量，这将导致 KeyError。而是使用 AWS_REGION 或 AWS_DEFAULT_REGION。查看 Lambda environment variables.
的完整列表
请按照step 4 of the article所述设置环境变量：
"配置适合您的使用场景的 Lambda 环境变量。例如，以下变量对给定的用例有效：
REGION=us-east-1, MAX_THREADS=10, TEXT_MESSAGE_FILE=email_body.txt, HTML_MESSAGE_FILE=email_body.html."
所做的（根据问题中提供的代码）是用它们的值替换环境变量的名称，这意味着 python 正在寻找例如'us-east-1' 不存在的环境变量...
这是原代码
# Get Lambda environment variables
region = os.environ['REGION']
max_threads = os.environ['MAX_THREADS']
text_message_file = os.environ['TEXT_MESSAGE_FILE']
html_message_file = os.environ['HTML_MESSAGE_FILE']
您也可以对值进行硬编码，如下所示：
# Get Lambda environment variables
region = 'us-east-1'
max_threads = '10'
text_message_file = 'email_body.txt'
html_message_file = 'email_body.html'
但我建议改为设置环境变量（并使用 article author). When it comes to setting environment variables in Lambda, see this article :)
提供的脚本版本
我尝试使用 AWS Lambda 进行群发邮件，我们使用的代码如下 link： https://aws.amazon.com/cn/premiumsupport/knowledge-center/mass-email-ses-lambda/
from __future__ import print_function
import StringIO
import csv
import json
import os
import urllib
import zlib
from time import strftime, gmtime
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
import boto3
import botocore
import concurrent.futures
__author__ = 'Said Ali Samed'
__date__ = '10/04/2016'
__version__ = '1.0'
# Get Lambda environment variables
region = os.environ['us-east-1']
max_threads = os.environ['10']
text_message_file = os.environ['email_body.txt']
html_message_file = os.environ['email_body.html']
# Initialize clients
s3 = boto3.client('s3', region_name=region)
ses = boto3.client('ses', region_name=region)
send_errors = []
mime_message_text = ''
mime_message_html = ''
def current_time():
return strftime("%Y-%m-%d %H:%M:%S UTC", gmtime())
def mime_email(subject, from_address, to_address, text_message=None, html_message=None):
msg = MIMEMultipart('alternative')
msg['Subject'] = subject
msg['From'] = from_address
msg['To'] = to_address
if text_message:
msg.attach(MIMEText(text_message, 'plain'))
if html_message:
msg.attach(MIMEText(html_message, 'html'))
return msg.as_string()
def send_mail(from_address, to_address, message):
global send_errors
try:
response = ses.send_raw_email(
Source=from_address,
Destinations=[
to_address,
],
RawMessage={
'Data': message
}
)
if not isinstance(response, dict): # log failed requests only
send_errors.append('%s, %s, %s' % (current_time(), to_address, response))
except botocore.exceptions.ClientError as e:
send_errors.append('%s, %s, %s, %s' %
(current_time(),
to_address,
', '.join("%s=%r" % (k, v) for (k, v) in e.response['ResponseMetadata'].iteritems()),
e.message))
def lambda_handler(event, context):
global send_errors
global mime_message_text
global mime_message_html
try:
# Read the uploaded csv file from the bucket into python dictionary list
bucket = event['Records'][0]['s3']['bucket']['name']
key = urllib.unquote_plus(event['Records'][0]['s3']['object']['key']).decode('utf8')
response = s3.get_object(Bucket=bucket, Key=key)
body = zlib.decompress(response['Body'].read(), 16+zlib.MAX_WBITS)
reader = csv.DictReader(StringIO.StringIO(body),
fieldnames=['from_address', 'to_address', 'subject', 'message'])
# Read the message files
try:
response = s3.get_object(Bucket=bucket, Key=text_message_file)
mime_message_text = response['Body'].read()
except:
mime_message_text = None
print('Failed to read text message file. Did you upload %s?' % text_message_file)
try:
response = s3.get_object(Bucket=bucket, Key=html_message_file)
mime_message_html = response['Body'].read()
except:
mime_message_html = None
print('Failed to read html message file. Did you upload %s?' % html_message_file)
if not mime_message_text and not mime_message_html:
raise ValueError('Cannot continue without a text or html message file.')
# Send in parallel using several threads
e = concurrent.futures.ThreadPoolExecutor(max_workers=max_threads)
for row in reader:
from_address = row['from_address'].strip()
to_address = row['to_address'].strip()
subject = row['subject'].strip()
message = mime_email(subject, from_address, to_address, mime_message_text, mime_message_html)
e.submit(send_mail, from_address, to_address, message)
e.shutdown()
except Exception as e:
print(e.message + ' Aborting...')
raise e
print('Send email complete.')
# Remove the uploaded csv file
try:
response = s3.delete_object(Bucket=bucket, Key=key)
if 'ResponseMetadata' in response.keys() and response['ResponseMetadata']['HTTPStatusCode'] == 204:
print('Removed s3://%s/%s' % (bucket, key))
except Exception as e:
print(e)
# Upload errors if any to S3
if len(send_errors) > 0:
try:
result_data = '\n'.join(send_errors)
logfile_key = key.replace('.csv.gz', '') + '_error.log'
response = s3.put_object(Bucket=bucket, Key=logfile_key, Body=result_data)
if 'ResponseMetadata' in response.keys() and response['ResponseMetadata']['HTTPStatusCode'] == 200:
print('Send email errors saved in s3://%s/%s' % (bucket, logfile_key))
except Exception as e:
print(e)
raise e
# Reset publish error log
send_errors = []
if __name__ == "__main__":
json_content = json.loads(open('event.json', 'r').read())
lambda_handler(json_content, None)
但是当我选择 python 时出现问题 2.7.the 错误是
module initialization error 'us-east-1'
当我选择python 3.6时，错误是
Unable to import module 'lambda_function': No module named 'StringIO'
谁能告诉我这是什么问题？
从 Python v3 开始，StringIO module has gone。相反，导入 io 模块并使用 io.StringIO.
v27版本的问题，推测是以下语句失败：
region = os.environ['us-east-1']
如果 us-east-1 不是可用的环境变量，这将导致 KeyError。而是使用 AWS_REGION 或 AWS_DEFAULT_REGION。查看 Lambda environment variables.
请按照step 4 of the article所述设置环境变量： "配置适合您的使用场景的 Lambda 环境变量。例如，以下变量对给定的用例有效： REGION=us-east-1, MAX_THREADS=10, TEXT_MESSAGE_FILE=email_body.txt, HTML_MESSAGE_FILE=email_body.html."
所做的（根据问题中提供的代码）是用它们的值替换环境变量的名称，这意味着 python 正在寻找例如'us-east-1' 不存在的环境变量...
这是原代码
# Get Lambda environment variables
region = os.environ['REGION']
max_threads = os.environ['MAX_THREADS']
text_message_file = os.environ['TEXT_MESSAGE_FILE']
html_message_file = os.environ['HTML_MESSAGE_FILE']
您也可以对值进行硬编码，如下所示：
# Get Lambda environment variables
region = 'us-east-1'
max_threads = '10'
text_message_file = 'email_body.txt'
html_message_file = 'email_body.html'
但我建议改为设置环境变量（并使用 article author). When it comes to setting environment variables in Lambda, see this article :)
提供的脚本版本