Access S3 objects like tree.
S3Tree allows you to access files stored on Amazon AWS S3 as a simple directory tree. You can traverse the tree and read files as easily as
>>> import s3tree >>> s3tree.config.aws_access_key_id = '<AWS-ACCESS-KEY>' >>> s3tree.config.aws_secret_access_key = '<AWS-SECRET-KEY>' >>> tree = s3tree.S3Tree(bucket_name='my-awesome-bucket') >>> len(tree) 77 >>> for obj in tree: print(obj.name) ... admin assets ... index.js
To install S3Tree, use pipenv (or pip):
$ pipenv install s3tree
Using AWS credentials
s3tree module exposes a
config object that can be used to set the AWS credentials you want to use
globally. You should ideally do this before you make any instances of
>>> import s3tree >>> s3tree.config.aws_access_key_id = '<AWS-ACCESS-KEY>' >>> s3tree.config.aws_secret_access_key = '<AWS-SECRET-KEY>'
Credentials can also be passed while creating an
>>> tree = s3tree.S3Tree('dummy-bucket', aws_access_key_id='<AWS-ACCESS-KEY>', aws_secret_access_key='<AWS-SECRET-KEY>')
Passing the credentials during instance creation overrides the global config.
Fetching a tree
S3Tree object represents a tree at any given path. The path can be specified while creating a new tree.
If no path, or
/ is passed, the root if the bucket is fetched.
>>> tree = s3tree.S3Tree(bucket_name='dummy') # tree at the root of the bucket `dummy` >>> tree = s3tree.S3Tree(bucket_name='dummy', path='/admin/css') # tree under the path `/admin/css` >>> tree = s3tree.S3Tree(bucket_name='dummy', path='admin/css') # this works too.
tree object above is an iterable that contains all files and directories in this tree.
len(tree) gives you the total size of this tree.
If you want to access files and directories separately:
>>> tree.directories # iterable for all the directories in the tree >>> tree.files # iterable for all the files in the tree
The S3Tree object can be easily represented as JSON:
The Directory object
Each element in
tree.directories is a
Directory object. This has attributes that help you
display the directory in a human-friendly manner, and methods to fetch the tree under itself.
>>> mydir = tree.directories >>> mydir.name # the name of this directory css >>> mydir.path # the full path of this directory /admin/css >>> child_tree = mydir.get_tree() # retrieve and store the tree under `mydir` to `child_tree` >>> json_data = mydir.as_json # JSON representation of this directory
The File object
Each element in
tree.files is a
File object, which has attributes and methods to display properties
and read the file.
>>> myfile = tree.files >>> myfile.name # name of this file index.js >>> myfile.size # human-readable size of this file 4 KB >>> contents = myfile.read() # reads the file and stores its contents in `contents` >>> json_data = myfile.as_json # JSON representation of this file obj
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