A webserver for hosting scorer models.
Project description
[](https://travis-ci.org/wiki-ai/ores)
Objective Revision Evaluation Service
A webserver for hosting scoring services. For more information, see [the ORES documentation on MediaWiki](https://mediawiki.org/wiki/ORES).
Installation
ORES is based on Python 3. Use pip to install ORES:
pip install ores (or pip3 install ores if your distribution defaults to Python 2)
If you’re running with the default configuration, you’ll need to install a few more optional libraries,
pip install pylru
Then you can easily run a test server by:
ores applications.wsgi
Use the -h argument to view its usage.
ores applications.wsgi -h
Visit these pages to see if your installation works,
http://localhost:8080/ http://localhost:8080/v2/scores/testwiki/revid/641962088?features=true
Running a development server
We recommend that you set up a python “virtual environment”. We put together [this guide](https://gist.github.com/halfak/9f4830895496af9e9731) to help you get everything set up.
Install requirements AND the test-requirements in order to run the default test server and experiment with different scoring strategies.
$ pip install -r requirements.txt
$ pip install -r test-requirements.txt
Run a test server as ORES using the ./utility, so local changes are reflected: Use -h to view its usage
$ ./utility applications.wsgi
Check if everything is running on http://localhost:8080.
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](https://travis-ci.org/wiki-ai/ores){kind=link}