I am struggling to find out how I can get my aws_access_key_id and aws_secret_access_key dynamically from my code.
In boto2 I could do the following: boto.config.get_value('Credentials', 'aws_secret_access_key')
but I can't seem to find a similar method in boto3. I was able to find the keys if I look in boto3.Session()._session._credentials
but that seems like the mother of all hacks to me and I would rather not go down that road.
It's generally a best practice to only use temporary credentials. You can get temporary credentials with STS.get_session_token
.
EDIT: As of this PR, you can access the current session credentials like so:
import boto3 session = boto3.Session() credentials = session.get_credentials() # Credentials are refreshable, so accessing your access key / secret key # separately can lead to a race condition. Use this to get an actual matched # set. credentials = credentials.get_frozen_credentials() access_key = credentials.access_key secret_key = credentials.secret_key redshift = session.client('redshift') ...
I would still recommend using temporary credentials scoped to exactly what redshift needs.
Use botocore
>>> import botocore.session
>>> session = botocore.session.get_session()
>>> session.get_credentials().access_key
'AKIAABCDEF6RWSGI234Q'
>>> session.get_credentials().secret_key
'abcdefghijkl+123456789+qbcd'
>>> session.get_config_variable('region')
'us-east-1'
Can I suggest that accessing the keys is WRONG using boto3:
import boto3
session = boto3.Session(profile_name="my-profile")
dynamodb = session.resource(
"dynamodb",
region_name=session.region_name,
# aws_access_key_id=session.get_credentials().access_key,
# aws_secret_access_key=session.get_credentials().secret_key,
)
Notice, I commented out accessing the keys because 1:
Any clients created from this session will use credentials from the
[my-profile]
section of~/.aws/credentials
.
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