Skip to content

GabrieleCalarota/annotator-store

 
 

Repository files navigation

Annotator Store

This is a backend store for Annotator.

The functionality can roughly be separated in two parts:

  1. An abstraction layer wrapping Elasticsearch, to easily manage annotation storage. It features authorization to filter search results according to their permission settings.
  2. A Flask blueprint for a web server that exposes an HTTP API to the annotation storage. To use this functionality, build this package with the [flask] option.

Getting going

You'll need a recent version of Python (Python 2 >=2.6 or Python 3 >=3.3) and ElasticSearch (>=1.0.0) installed.

The quickest way to get going requires the pip and virtualenv tools (easy_install virtualenv will get them both). Run the following in the repository root:

virtualenv pyenv
source pyenv/bin/activate
pip install -e .[flask]
cp annotator.cfg.example annotator.cfg
python run.py

You should see something like:

* Running on http://127.0.0.1:5000/
* Restarting with reloader...

If you wish to customize the configuration of the Annotator Store, make your changes to annotator.cfg or dive into run.py.

Additionally, the HOST and PORT environment variables override the default socket binding of address 127.0.0.1 and port 5000.

Store API

The Store API is designed to be compatible with the Annotator. The annotation store, a JSON-speaking REST API, will be mounted at /api by default. See the Annotator documentation for details.

Running tests

We use nosetests to run tests. You can just pip install -e .[testing], ensure ElasticSearch is running, and then:

$ nosetests
......................................................................................
----------------------------------------------------------------------
Ran 86 tests in 19.171s

OK

Alternatively (and preferably), you should install Tox, and then run tox. This will run the tests against multiple versions of Python (if you have them installed).

Please open an issue if you find that the tests don't all pass on your machine, making sure to include the output of pip freeze.

About

A backend store for the Annotator

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 100.0%