simples3 0.1

Usage

A Simple Amazon AWS S3 interface

And it really is simple.

Setup:

>>> s = S3Bucket("mybucket",
...              access_key="ACESSS KEY",
...              secret_key="SECRET KEY")
...
>>> print s  # doctest: +ELLIPSIS
<S3Bucket ... at 'https://s3.amazonaws.com/...'>

or if you’d like to use virtual host S3:

>>> s = S3Bucket("mybucket",
...              access_key="ACCESS KEY",
...              secret_key="SECRET KEY",
...              base_url="http://yo.se")
>>> print s  # doctest: +ELLIPSIS
<S3Bucket ... at 'http...'>

Note that missing slash above, it’s important. Think of it as “The prefix to which all calls are made.” Also the scheme can be https or regular http, or any other urllib2-compatible scheme (that is: you can register your own.)

Now, let’s start doing something useful. Start out by putting a simple file onto there:

>>> s.put("my file", "my content")

Alright, and fetch it back:

>>> f = s.get("my file")
>>> f.read()
'my content'

Nice and tidy, but what if we want to know more about our fetched file? Easy:

>>> f.s3_info["modify"]  # doctest: +ELLIPSIS
datetime.datetime(...)
>>> f.s3_info["mimetype"]
'application/x-octet-stream'
>>> f.s3_info.keys()
['mimetype', 'modify', 'headers', 'date', 'size', 'metadata']
>>> f.close()

Note that the type was octet stream. That’s simply because we didn’t specify anything else. Do that using the mimetype keyword argument:

>>> s.put("my new file!", "Improved content!\nMultiple lines!",
...       mimetype="text/plain")

Let’s be cool and use the very Pythonic API to do fetch:

>>> f = s["my new file!"]
>>> print f.read()
Improved content!
Multiple lines!
>>> f.s3_info["mimetype"]
'text/plain'
>>> f.close()

Great job, huh. Now, let’s delete it:

>>> del s["my new file!"]

Could’ve used the delete method instead, but we didn’t.

If you just want to know about a key, ask and ye shall receive:

>>> from pprint import pprint
>>> s["This is a testfile."] = S3File("Hi!", metadata={"hairdo": "Secret"})
>>> pprint(s.info("test"))  # doctest: +ELLIPSIS
{'date': datetime.datetime(...),
 'headers': {'content-length': '3',
             'content-type': 'application/x-octet-stream',
             'date': '...',
             'etag': '"..."',
             'last-modified': '...',
             'server': 'AmazonS3',
             'x-amz-id-2': '...',
             'x-amz-meta-hairdo': 'Secret',
             'x-amz-request-id': '...'},
 'metadata': {'hairdo': 'Secret'},
 'mimetype': 'application/x-octet-stream',
 'modify': datetime.datetime(...),
 'size': 3}

Notable is that you got the metadata parsed out in the metadata key. You might also have noticed how the file was uploaded, using an S3File object like that. That’s a nicer way to do it, in a way.

The S3File simply takes its keyword arguments, and passes them on to put later. Other than that, it’s a str subclass.

And the last dict-like behavior is in tests:

>>> "This is a testfile." in s
True
>>> del s["This is a testfile."]
>>> "This is a testfile." in s
False

You can also set a canned ACL using put, which is too simple:

>>> s.put("test/foo", "test", acl="public-read")
>>> s.put("test/bar", "rawr", acl="public-read")

Boom. What’s more? Listing the bucket:

>>> for (key, modify, etag, size) in s.listdir(prefix="test/"):
...     print "%r (%r) is size %r, modified %r" % (key, etag, size, modify)
... # doctest: +ELLIPSIS
'test/bar' ('"..."') is size 4, modified datetime.datetime(...)
'test/foo' ('"..."') is size 4, modified datetime.datetime(...)

That about sums it up.