How to choose an AWS profile when using boto3 to connect to CloudFront

I am using the Boto 3 python library, and want to connect to AWS CloudFront.
I need to specify the correct AWS Profile (AWS Credentials), but looking at the official documentation, I see no way to specify it.

I am initializing the client using the code:
client = boto3.client('cloudfront')

However, this results in it using the default profile to connect.
I couldn’t find a method where I can specify which profile to use.

Here is Solutions:

We have many solutions to this problem, But we recommend you to use the first solution because it is tested & true solution that will 100% work for you.

Solution 1

I think the docs aren’t wonderful at exposing how to do this. It has been a supported feature for some time, however, and there are some details in this pull request.

So there are three different ways to do this:

Option A) Create a new session with the profile

    dev = boto3.session.Session(profile_name='dev')

Option B) Change the profile of the default session in code

    boto3.setup_default_session(profile_name='dev')

Option C) Change the profile of the default session with an environment variable

    $ AWS_PROFILE=dev ipython
    >>> import boto3
    >>> s3dev = boto3.resource('s3')

Solution 2

This section of the boto3 documentation is helpful.

Here’s what worked for me:

session = boto3.Session(profile_name='dev')
client = session.client('cloudfront')

Solution 3

Do this to use a profile with name ‘dev’:

session = boto3.session.Session(profile_name='dev')
s3 = session.resource('s3')
for bucket in s3.buckets.all():
    print(bucket.name)

Solution 4

Just add profile to session configuration before client call.
boto3.session.Session(profile_name='YOUR_PROFILE_NAME').client('cloudwatch')

Solution 5

1- To use Session boto3.session.Session:

import boto3
aws_session = boto3.session.Session(profile_name='dev')
s3 = aws_session.resource('s3')

2- To use resource boto3.resource:

import boto3
boto3.setup_default_session(profile_name='dev')
s3 = boto3.resource('s3')

3- OR, Pass environment variables AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY to boto3.

import boto3
aws_session = boto3.Session(
    aws_access_key_id=settings.AWS_SERVER_PUBLIC_KEY,
    aws_secret_access_key=settings.AWS_SERVER_SECRET_KEY,
)
s3 = aws_session.resource('s3')

Note: Use and implement solution 1 because this method fully tested our system.
Thank you 🙂

All methods was sourced from stackoverflow.com or stackexchange.com, is licensed under cc by-sa 2.5, cc by-sa 3.0 and cc by-sa 4.0

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