baiji 2.2.7

High-level Python abstraction layer for Amazon S3

baiji
=====

High-level Python abstraction layer for Amazon S3:

1. An [`open`][open]-like context handler which allows using S3 keys and
local files interchangeably.
- When reading S3, contents are first written to a temporary local
file.
- When writing S3, contents are written to a temporary local file,
and uploaded on close.
2. An `s3` CLI for listing, copying, syncing, and other common activities.


Features
--------

- Works without an S3 connection (with local files).
- Supports multiprocess parallelism for copying lots of files.
- Supports Python 2.7 and uses boto2.
- Supports OS X, Linux, and Windows.
- Tested and production-hardened.

[open]: https://docs.python.org/2/library/functions.html#open


Examples
--------

```py
with s3.open('s3://example/info.txt', 'w') as f:
f.write('hello')

with s3.open('file:///home/me/info.txt', 'w') as f:
f.write('hello')

with s3.open('s3://example/info.txt', 'r') as f:
contents = f.readlines()

with s3.open('file:///home/me/info.txt', 'r') as f:
contents = f.readlines()
```

```sh
s3 cp foo.txt s3://example/bar.txt
s3 cp s3://example/bar.txt s3://another-example/bazinga.txt
s3 rm s3://example/bar.txt
```


Development
-----------

```sh
pip install -r requirements_dev.txt
rake test
rake lint
```


TODO
----

1. Migrate credentials to `~/.aws/credentials` or env, and deprecate AWS
credential support in `~/.bodylabs`.
2. Move `baiji.util.parallel` into a separate library.
3. Upgrade to boto3.


Contribute
----------

- Issue Tracker: github.com/bodylabs/baiji/issues
- Source Code: github.com/bodylabs/baiji

Pull requests welcome!


Support
-------

If you are having issues, please let us know.


License
-------

The project is licensed under the Apache license, version 2.0.