Module to simplify usage of WeedFS in python.
Project description
Permission is hereby granted, free of charge, to any person obtaining
a copy of this software and associated documentation files (the
"Software"), to deal in the Software without restriction, including
without limitation the rights to use, copy, modify, merge, publish,
distribute, sublicense, and/or sell copies of the Software, and to
permit persons to whom the Software is furnished to do so, subject to
the following conditions:
The above copyright notice and this permission notice shall be
included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Description-Content-Type: UNKNOWN
Description: *********************************************************
PySeaweed
*********************************************************
Class to simplify communication with Weed-FS_
============
Installation
============
From PyPI::
pip install pyseaweed
============
Tests
============
Install dependencies::
pip install -r test_requirements.txt
Run tests::
python setup.py tests
Or using nose::
nosetests
.. note::
Functional tests assumes that there is WeedFS master running on localhost:9333 (defaults).
If it's not then there will be errors in tests.
============
Usage
============
Upload file to weedFS
.. code-block:: python
from pyseaweed import WeedFS
# File upload
w = WeedFS("localhost", 9333) # weed-fs master address and port
fid = w.upload_file("n.txt") # path to file
# Get file url
file_url = w.get_file_url(fid)
# Delete file
res = w.delete_file(fid)
# res is boolean (True if file was deleted)
.. _Weed-FS: https://github.com/chrislusf/seaweedfs
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
a copy of this software and associated documentation files (the
"Software"), to deal in the Software without restriction, including
without limitation the rights to use, copy, modify, merge, publish,
distribute, sublicense, and/or sell copies of the Software, and to
permit persons to whom the Software is furnished to do so, subject to
the following conditions:
The above copyright notice and this permission notice shall be
included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Description-Content-Type: UNKNOWN
Description: *********************************************************
PySeaweed
*********************************************************
Class to simplify communication with Weed-FS_
============
Installation
============
From PyPI::
pip install pyseaweed
============
Tests
============
Install dependencies::
pip install -r test_requirements.txt
Run tests::
python setup.py tests
Or using nose::
nosetests
.. note::
Functional tests assumes that there is WeedFS master running on localhost:9333 (defaults).
If it's not then there will be errors in tests.
============
Usage
============
Upload file to weedFS
.. code-block:: python
from pyseaweed import WeedFS
# File upload
w = WeedFS("localhost", 9333) # weed-fs master address and port
fid = w.upload_file("n.txt") # path to file
# Get file url
file_url = w.get_file_url(fid)
# Delete file
res = w.delete_file(fid)
# res is boolean (True if file was deleted)
.. _Weed-FS: https://github.com/chrislusf/seaweedfs
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
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