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A webserver for hosting scorer models.

Project description

[![Build Status](https://travis-ci.org/wiki-ai/ores.svg)](https://travis-ci.org/wiki-ai/ores) [![Test coverage](https://codecov.io/gh/wiki-ai/ores/branch/master/graph/badge.svg)](https://codecov.io/gh/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 Redis configuration, you’ll need to install a few more optional libraries,

pip install ores[redis]

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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