I am using boto3 in aws lambda to fecth object in S3 located in Frankfurt Region.
v4 is necessary. otherwise following error will return
"errorMessage": "An error occurred (InvalidRequest) when calling
the GetObject operation: The authorization mechanism you have
provided is not supported. Please use AWS4-HMAC-SHA256."
Realized ways to configure signature_version http://boto3.readthedocs.org/en/latest/guide/configuration.html
But since I am using AWS lambda, I do not have access to underlying configuration profiles
The code of my AWS lambda function
from __future__ import print_function
import boto3
def lambda_handler (event, context):
input_file_bucket = event["Records"][0]["s3"]["bucket"]["name"]
input_file_key = event["Records"][0]["s3"]["object"]["key"]
input_file_name = input_file_bucket+"/"+input_file_key
s3=boto3.resource("s3")
obj = s3.Object(bucket_name=input_file_bucket, key=input_file_key)
response = obj.get()
return event #echo first key valuesdf
Is that possible to configure signature_version within this code ? use Session for example. Or is there any workaround on this?
These credentials are stored by default at ~/. aws/credentials which contains your access key and secret access key for using AWS services, along with other configuration details such as your region code.
Instead of using the default session, try using custom session and Config from boto3.session
import boto3
import boto3.session
session = boto3.session.Session(region_name='eu-central-1')
s3client = session.client('s3', config= boto3.session.Config(signature_version='s3v4'))
s3client.get_object(Bucket='<Bkt-Name>', Key='S3-Object-Key')
I tried the session approach, but I had issues. This method worked better for me, your mileage may vary:
s3 = boto3.resource('s3', config=Config(signature_version='s3v4'))
You will need to import Config from botocore.client in order to make this work. See below for a functional method to test a bucket (list objects). This assumes you are running it from an environment where your authentication is managed, such as Amazon EC2 or Lambda with a IAM Role:
import boto3
from botocore.client import Config
from botocore.exceptions import ClientError
def test_bucket(bucket):
print 'testing bucket: ' + bucket
try:
s3 = boto3.resource('s3', config=Config(signature_version='s3v4'))
b = s3.Bucket(bucket)
objects = b.objects.all()
for obj in objects:
print obj.key
print 'bucket test SUCCESS'
except ClientError as e:
print 'Client Error'
print e
print 'bucket test FAIL'
To test it, simply call the method with a bucket name. Your role will have to grant proper permissions.
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