Pytoeba

Python/Django reimplementation of tatoeba.

Dependencies

See requirements.txt.

Installing Dependencies

You can choose your graphing backend to either be pure python (networkx) or C (scipy). The python backend should work readily with any flavor of python. The C one might not but is insanely fast on CPython. To install the C backend make sure you have gcc, gfortran, python-dev, libblas-dev, liblaplack-dev, and python-pip. Also you probably will need > 1GB RAM for compiling the dependencies.

You can also choose and configure a search engine backend for haystack. Consult haystack's docs for more information. The template project provides a configuration for xapian. The dependencies is basically the header files libxapian-dev and the python bindings python-xapian. To install it inside a virtualenv install libxapian-dev on your system and then run the provided xapianvenv.sh script from within the virtualenv.

Then in a terminal:

pip install -r requirements.txt

For the graphing backend:

pip install -r scipy\_backend\_requirements.txt

or

pip install -r networkx\_backend\_requirements.txt

For the xapian search backend:

pip install -r xapian\_backend\_requirements.txt

Configuration

See the pytoeba repository for a fully configured project using pytoeba.

Running

In the root directory of the configured project run:

python manage.py syncdb --migrate
python manage.py runserver

It should be accessible now on 127.0.0.1:8000

Tests and coverage

To run the test suite:

py.test

To see the coverage report:

coverage run --source pytoeba -m py.test
coverage report

To generate an html report:

coverage run --source pytoeba -m py.test
coverage html

Then check htmlcov/index.html in your browser for a line by line coverage report per module