CODEWITHSUNDEEP
pythondjangoamazon-web-servicesboto3amazon-ses
Umut Çağdaş Coşkun
Umut Çağdaş Coşkun

Reputation: 1482

How to use Amazon SES with dynamic credentials?

I'm using Django/Python and I want to use multiple Amazon SES credentials on same server.

I found boto3 to consume Amazon APIs but it requires to set the credentials using a file or environment variables. Which is I can't (or it's hard to) change it in the runtime.

How can I set the credentials dynamically on runtime?

I'm looking for a solution something like that: (boto3 is not mandatory, I can use any solution)

CREDS = {
    "foo": {
        "AWS_ACCESS_KEY_ID": "XXX",
        "AWS_SECRET_ACCESS_KEY": "XXX",
        "AWS_DEFAULT_REGION": "us-east-1",
    },
    "bar": {
        "AWS_ACCESS_KEY_ID": "YYY",
        "AWS_SECRET_ACCESS_KEY": "YYY",
        "AWS_DEFAULT_REGION": "us-east-1",
    },
}

my_config = CREDS.get("foo") # or "bar"
client = boto3.client('ses', config=my_config)

How can I implement this?

Upvotes: 0

Views: 573

Answers (1)

Hubert Bratek
Hubert Bratek

Reputation: 1104

There is several ways actually to do it:

The ways that you also wanted to is almost correct. I would advice either setting it up in the boto3.client or using the session and everything should work as expected.

Example:

import boto3

client = boto3.client(
    's3',
    aws_access_key_id=ACCESS_KEY,
    aws_secret_access_key=SECRET_KEY,
    aws_session_token=SESSION_TOKEN
)

If you want, you could also create a aws config file with multiple profiles, which you can just get in your application.

Everything is explained here: https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html

Upvotes: 1

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