A small webapp for viewing and searching Chef nodes
Project description
A small webapp for viewing and searching Chef nodes.
Usage
gunicorn 'sous_chef:create_app()'
The optional environment variable SOUS_CHEF_SETTINGS can be pointed at a Flask configuration file (docs).
The Flask settings CHEF_URL, CHEF_KEY and CHEF_CLIENT are used to create a Chef API client, using PyChef’s autoconfigure as a fallback.
The app can be run in debug mode by using the create_debug_app function:
gunicorn 'sous_chef:create_debug_app()'
The flask-debugtoolbar package is availible, the DebugToolbar extension will be used.
Installation
pip install sous-chef gunicorn
Requirements
Requires Flask and PyChef. Gunicorn is the simplest method of deployment, but is not a requirement (allowing alternate WSGI servers to be used). Optionally uses Flask Debug Toolbar using the debug application.
Compatibility
Targets Python 2.7, 3.3 and above.
Licence
The MIT License (MIT)
Copyright (c) 2014 DataSift <opensource@datasift.com>
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.
Authors
sous-chef was written by Sam Clements at DataSift.
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