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.. image:: https://img.shields.io/pypi/v/uriutils.svg :target: https://pypi.python.org/pypi/uriutils
.. image:: https://readthedocs.org/projects/uriutils/badge/?version=latest :target: http://uriutils.readthedocs.io/en/latest/?badge=latest
Working with multiple storage platforms (i.e., local filesystem, S3, Google Cloud, etc.) can be quite a hassle. This package aims to make it transparent to the user and the developer the underlying storage system by wrapping the different protocols in a common interface.
Documentation available at http://uriutils.readthedocs.io/
Example::
with uri_open('http://www.example.com', mode='r') as f:
contents = f.read()
Example with argument parser::
parser = ArgumentParser(description='Read text file from URI.')
parser.add_argument('-i', '--input', type=URIFileType('r'), metavar='<input>', help='Input file URI.')
A = parser.parse_args()
contents = A.input.read()
print(contents)
Or, writing to a file with argument parser is as easy as::
parser = ArgumentParser(description='Write text file to URI.')
parser.add_argument('-o', '--output', type=URIFileType('w'), metavar='<output>', help='Output file URI.')
A = parser.parse_args()
A.output.write('Hello world!\n')
A.output.close()
And you can run python uri.py --output s3://example-bucket/output.txt
.
For complete documentation, please see uriutils-0.1 documentation <http://uriutils.readthedocs.io>
_.
For bugs and issues, please file them on the issues <https://github.com/skylander86/uriutils/issues>
_ page.
Thanks!
FAQs
Easily read and write to different storage platforms in Python.
We found that uriutils demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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