This package allows you to authenticate to AWS with Amazon's signature version 4 signing process with the python requests library.
Tested with both python 2.7 and 3.
(Conceivably, the authentication class is flexible enough to be used with any AWS service, but it was initially created to interface with AWS Elasticsearch instances.)
pip install aws-requests-auth
import requests
from aws_requests_auth.aws_auth import AWSRequestsAuth
# let's talk to our AWS Elasticsearch cluster
auth = AWSRequestsAuth(aws_access_key='YOURKEY',
aws_secret_access_key='YOURSECRET',
aws_host='search-service-foobar.us-east-1.es.amazonaws.com',
aws_region='us-east-1',
aws_service='es')
response = requests.get('http://search-service-foobar.us-east-1.es.amazonaws.com',
auth=auth)
print response.content
{
"status" : 200,
"name" : "Stevie Hunter",
"cluster_name" : "elasticsearch",
"version" : {
"number" : "1.5.2",
etc....
},
"tagline" : "You Know, for Search"
}If this piece of software brought value to you/your organization...
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It's possible to inject the AWSRequestsAuth class directly into the elasticsearch-py library so you can talk to your Amazon AWS cluster directly through the elasticsearch-py client.
from aws_requests_auth.aws_auth import AWSRequestsAuth
from elasticsearch import Elasticsearch, RequestsHttpConnection
es_host = 'search-service-foobar.us-east-1.es.amazonaws.com'
auth = AWSRequestsAuth(aws_access_key='YOURKEY',
aws_secret_access_key='YOURSECRET',
aws_host=es_host,
aws_region='us-east-1',
aws_service='es')
# use the requests connection_class and pass in our custom auth class
es_client = Elasticsearch(host=es_host,
port=80,
connection_class=RequestsHttpConnection,
http_auth=auth)
print es_client.info()If you are using AWS STS to grant temporary access to your Elasticsearch resource, you can use the aws_token keyword argument to include your credentials in AWSRequestsAuth. See issue #9 and PR #11 for additional details.
If you are using an AWS lamba to talk to your Elasticsearch cluster and you've assigned an IAM role to your lambda function that allows the lambda to communicate with your Elasticserach cluster, you can instantiate an instance of AWSRequestsAuth by reading your credentials from environment variables:
import os
from aws_requests_auth.aws_auth import AWSRequestsAuth
def lambda_handler(event, context):
auth = AWSRequestsAuth(aws_access_key=os.environ['AWS_ACCESS_KEY_ID'],
aws_secret_access_key=os.environ['AWS_SECRET_ACCESS_KEY'],
aws_token=os.environ['AWS_SESSION_TOKEN'],
aws_host='search-service-foobar.us-east-1.es.amazonaws.com',
aws_region='us-east-1',
aws_service='es')
print 'My lambda finished executing' 'AWS_ACCESS_KEY_ID', 'AWS_SECRET_ACCESS_KEY', 'AWS_SESSION_TOKEN' are reserved environment variables in AWS lambdas.
botocore (the core functionality of boto3) is not a strict requirement of aws-requests-auth, but we do provide some convenience methods if you'd like to use botocore to automatically retrieve your AWS credentials for you.
botocore can dynamically pull AWS credentials from environment variables, AWS config files, IAM Role,
and other locations. Dynamic credential fetching can come in handy if you need to run a program leveraging aws-requests-auth in several places where you may authenticate in different manners. For example, you may rely on a .aws/credentials file when running on your local machine, but use an IAM role when running your program in a docker container in the cloud.
To take advantage of these conveniences, and help you authenticate wherever botocore finds AWS credentials, you can import the boto_utils file and initialize BotoAWSRequestsAuth as follows:
# note that this line will fail if you do not have botocore installed
# botocore installation instructions available here:
# https://boto3.readthedocs.io/en/latest/guide/quickstart.html#installation
from aws_requests_auth.boto_utils import BotoAWSRequestsAuth
auth = BotoAWSRequestsAuth(aws_host='search-service-foobar.us-east-1.es.amazonaws.com',
aws_region='us-east-1',
aws_service='es')Credentials are only accessed when needed at runtime, and they will be refreshed using the underlying methods in botocore if needed.
If you are using AWS API Gateway with IAM authentication (ref), here's how to sign an HTTP request using automatic AWS credentials with boto
from aws_requests_auth.boto_utils import BotoAWSRequestsAuth
auth = BotoAWSRequestsAuth(aws_host='api.example.com',
aws_region='us-east-1',
aws_service='execute-api')
import requests
response = requests.post('https://api.example.com/test', json={"foo": "bar"}, auth=auth)