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A webserver for hosting scorer models.

Project description

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A webserver for hosting scoring services. For more information, see [the ORES documentation on MediaWiki](


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 ores using docker composer

As an easy way to run ores for development, download and install [docker-compose]( and then do:

docker-compose build && docker-compose up

ores will be accessible through localhost:8080

Running tests

For a native installation, make sure you installed dependencies for testing:

pip install -r test-requirements.txt

then run:

py.test .

For docker installation, run:

docker-compose exec ores-worker py.test /ores


ORES provies several utilities: * precached: Starts a daemon that requests scores for revisions as they happen * score_revisions: Scores a set of revisions using an ORES API * stress_test: Scores a large set of revisions at a configurable rate * test_api: Runs a series of tests against a live ORES API

In order to run any of them, run it through ./utility wrapper:

./utility test_api -h

For docker installations run it through one of containers:

docker-compose exec ores-worker /ores/utility test_api -h


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