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Link back to related datasets across the internet on your CKAN installation

Project Description
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=============
ckanext-related-datasets
=============

.. 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-related-datasets:

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

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

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

pip install ckanext-related-datasets

3. Add ``related-datasets`` 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.related-datasets.some_setting = some_default_value


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

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

git clone https://github.com/exversion/ckanext-related-datasets.git
cd ckanext-related-datasets
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.related-datasets --cover-inclusive --cover-erase --cover-tests


---------------------------------
Registering ckanext-related-datasets on PyPI
---------------------------------

ckanext-related-datasets should be availabe on PyPI as
https://pypi.python.org/pypi/ckanext-related-datasets. 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-related-datasets
----------------------------------------

ckanext-related-datasets is availabe on PyPI as https://pypi.python.org/pypi/ckanext-related-datasets.
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
Release History

Release History

This version
History Node

0.0.1

Download Files

Download Files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
ckanext-related_datasets-0.0.1.tar.gz (5.4 kB) Copy SHA256 Checksum SHA256 Source Jan 31, 2016

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