boto_session_manager 1.3.2

Python AWS SDK boto3 library enhancement

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Welcome to boto_session_manager Documentation

Feature

Boto Client Enum

Provide an Enum class to access the aws service name to create boto client.

from boto_session_manager import BotoSesManager, AwsServiceEnum

bsm = BotoSesManager()
s3_client = bsm.s3_client

One click to jump to the documentation:

Cached Client

Once an boto session is defined, each AWS Service client should be created only once in most of the case. boto_session_manager.BotoSesManager.get_client(service_name) allow you to fetch the client object from cache if possible.

from boto_session_manager import BotoSesManager, AwsServiceEnum

bsm = BotoSesManager()
s3_client1 = bsm.get_client(AwsServiceEnum.S3)
s3_client2 = bsm.get_client(AwsServiceEnum.S3)
assert id(s3_client1) = id(s3_client2)

Or you can just do:

bsm.s3_client.list_buckets() # it cache the client when needed

Assume Role

Create another boto session manager based on an assumed IAM role. Allow you to check if it is expired and maybe renew later.

bsm_assumed = bsm.assume_role("arn:aws:iam::669508176277:role/sanhe-assume-role-for-iam-test")
sts_client = bsm_assumed.get_client(AwsServiceEnum.sts)
print(sts_client.get_caller_identity())

print(bsm_assumed.is_expired())

AWS CLI context manager

Suppose you have a boto session manager defined in python, sometime you want to run aws cli from Python using subprocess library. You can use boto_session_manager.BotoSesManager.awscli() context manager to setup temp credential for AWS CLI.

import subprocess

bsm = BotoSesManager(...)

with bsm.awscli():
    subprocess.run(["aws", "sts", "get-caller-identity"])

Install

boto_session_manager is released on PyPI, so all you need is:

$ pip install boto_session_manager

To upgrade to latest version:

$ pip install --upgrade boto_session_manager