Metadata-Version: 2.3
Name: boto3-refresh-session
Version: 1.0.4
Summary: A simple Python package for refreshing the temporary security credentials in a boto3.session.Session object automatically.
License: MIT
Keywords: boto3,botocore,aws
Author: Mike Letts
Author-email: lettsmt@gmail.com
Maintainer: Michael Letts
Maintainer-email: lettsmt@gmail.com
Requires-Python: >=3.10
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Requires-Dist: boto3
Requires-Dist: botocore
Project-URL: Documentation, https://michaelthomasletts.github.io/boto3-refresh-session/index.html
Project-URL: Repository, https://github.com/michaelthomasletts/boto3-refresh-session
Description-Content-Type: text/markdown

# boto3-refresh-session
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A simple Python package for refreshing the temporary security credentials in a `boto3.session.Session` object automatically.

- [Documentation](https://michaelthomasletts.github.io/boto3-refresh-session/index.html)
- [Source Code](https://github.com/michaelthomasletts/boto3-refresh-session)
- [PyPI](https://pypi.org/project/boto3-refresh-session/)
- [Contributing](https://michaelthomasletts.github.io/boto3-refresh-session/contributing.html)

### Why should I use this?

It is common for data pipelines and workflows that interact with the AWS API via 
`boto3` to run for a long time and, accordingly, for temporary credentials to 
expire. 

Usually, engineers deal with that problem one of two different ways: 

- A `try except` block that catches `botocore.exceptions.ClientError` exceptions
- A similar approach as that used in this project -- that is, using methods available 
  within `botocore` for refreshing temporary credentials automatically. 
  
Speaking personally, variations of the code found herein exists in code bases at 
nearly every company where I have worked. Sometimes, I turned that code into a module; 
other times, I wrote it from scratch. Clearly, that is inefficient.

I decided to finally turn that code into a proper Python package with unit testing, 
automatic documentation, and quality checks; the idea being that, henceforth, depending 
on my employer's open source policy, I may simply import this package instead of 
reproducing the code herein for the Nth time.

If any of that sounds relatable, then `boto3-refresh-session` should help you!

### Usage

Simply pass the basic parameters and initialize the `RefreshableSession` object; 
that's it! You're good to go!

`RefreshableSession` will refresh
temporary credentials for you in the background. In the following example,
continue using the `s3_client` object without worry of using `try` and 
`except` blocks!

To use this package, your machine must be configured with AWS
credentials. To learn more about how `boto3` searches for credentials on a
machine, check [this documentation](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html).

```python
import boto3_refresh_session as brs

assume_role_kwargs = {
  'RoleArn': '<your-role-arn>',
  'RoleSessionName': '<your-role-session-name>',
  'DurationSeconds': '<your-selection>',
  ...
}
session = brs.RefreshableSession(
  assume_role_kwargs=assume_role_kwargs
)
s3 = session.client(service_name='s3')
buckets = s3.list_buckets()
```

### Installation

```bash
pip install boto3-refresh-session
```

### Authors

- [Michael Letts](https://michaelthomasletts.github.io/)

