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Chinese language search tool for CKAN uses han language processing.

Project description

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=============
ckanext-data_recommendation
=============

.. Put a description of your extension here:
What does it do? What features does it have?
Consider including some screenshots or embedding a video!


------------
Requirements
------------

For example, you might want to mention here which versions of CKAN this
extension works with.


------------
Installation
------------

.. Add any additional install steps to the list below.
For example installing any non-Python dependencies or adding any required
config settings.

To install ckanext-data_recommendation:

1. Activate your CKAN virtual environment, for example::

. /usr/lib/ckan/default/bin/activate

2. Install the ckanext-data_recommendation Python package into your virtual environment::

pip install ckanext-data_recommendation

3. Add ``data_recommendation`` to the ``ckan.plugins`` setting in your CKAN
config file (by default the config file is located at
``/etc/ckan/default/production.ini``).

4. Restart CKAN. For example if you've deployed CKAN with Apache on Ubuntu::

sudo service apache2 reload


---------------
Config Settings
---------------

Document any optional config settings here. For example::

# The minimum number of hours to wait before re-checking a resource
# (optional, default: 24).
ckanext.data_recommendation.some_setting = some_default_value


------------------------
Development Installation
------------------------

To install ckanext-data_recommendation for development, activate your CKAN virtualenv and
do::

git clone https://github.com/nispc/ckanext-data_recommendation.git
cd ckanext-data_recommendation
python setup.py develop
pip install -r dev-requirements.txt


-----------------
Running the Tests
-----------------

To run the tests, do::

nosetests --nologcapture --with-pylons=test.ini

To run the tests and produce a coverage report, first make sure you have
coverage installed in your virtualenv (``pip install coverage``) then run::

nosetests --nologcapture --with-pylons=test.ini --with-coverage --cover-package=ckanext.data_recommendation --cover-inclusive --cover-erase --cover-tests


---------------------------------
Registering ckanext-data_recommendation on PyPI
---------------------------------

ckanext-data_recommendation should be availabe on PyPI as
https://pypi.python.org/pypi/ckanext-data_recommendation. If that link doesn't work, then
you can register the project on PyPI for the first time by following these
steps:

1. Create a source distribution of the project::

python setup.py sdist

2. Register the project::

python setup.py register

3. Upload the source distribution to PyPI::

python setup.py sdist upload

4. Tag the first release of the project on GitHub with the version number from
the ``setup.py`` file. For example if the version number in ``setup.py`` is
0.0.1 then do::

git tag 0.0.1
git push --tags


----------------------------------------
Releasing a New Version of ckanext-data_recommendation
----------------------------------------

ckanext-data_recommendation is availabe on PyPI as https://pypi.python.org/pypi/ckanext-data_recommendation.
To publish a new version to PyPI follow these steps:

1. Update the version number in the ``setup.py`` file.
See `PEP 440 <http://legacy.python.org/dev/peps/pep-0440/#public-version-identifiers>`_
for how to choose version numbers.

2. Create a source distribution of the new version::

python setup.py sdist

3. Upload the source distribution to PyPI::

python setup.py sdist upload

4. Tag the new release of the project on GitHub with the version number from
the ``setup.py`` file. For example if the version number in ``setup.py`` is
0.0.2 then do::

git tag 0.0.2
git push --tags

Project details


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