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A MongoDB DataStoreBackend implementation, that supports data citation.

Project description

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====================== ckanext-mongodatastore

The MongoDatastore is a datastore implementation for CKAN <https://www.ckan.org>, that uses MongoDB for storing data records. One aspect of this implementation is, that it follows the RDA Recommendations for Data Citation <https://doi.org/10.15497/RDA00016>. This guarantiees citability for every query that is submited to the datastore. In addition this extension is capable of pulling datasets from an existing datasource (e.g. a relational database) into the datastore. A IDatasource Interface enables ckan extension developers to implement their own DataSource. This extension comes with an Postgre DataSource implementation as a proof of concept. For a more detailed explanation check out the Wiki <https://github.com/fwoerister/ckanext-mongodatastore/wiki>_.

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As this extension provides an implementation of the IDatastoreBackend <https://docs.ckan.org/en/latest/maintaining/datastore.html#extending-datastore>_, therefore the DataStore API can be used as before.

Although after installation of this extension the result sets will contain a PID, the resource view needs to be able to show this PID in the UI. The default DataExplorer is not capable of showing PIDs, please checkout my PoC implementation on github <https://github.com/fwoerister/ckanext-datacitator>_.


Requirements

This CKAN extension is tested with CKAN 2.7 running on Python 2.7.

To run this plugin beside an CKAN a mongo and a postgre database is required. The mongo database is needed for storing the data records and the postgre database is used as a querystore, described in the RDA Recommendations. For both instances a connection string has to be set in the CKAN config file.


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-mongodatastore:

  1. Install MongoDB <https://docs.mongodb.com/manual/installation/>_

  2. If not already existing, a QueryStore database has to be created::

    sudo -u postgres createuser -S -D -R -P querystore sudo -u postgres createdb -O querystore querystore -E utf-8

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

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

  4. Install the ckanext-mongodatastore Python package into your virtual environment::

    pip install ckanext-mongodatastore

  5. Set the ckanext-mongodatastore specific config settings the CKAN configuration file (by default the config file is located at /etc/ckan/default/production.ini).

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

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

    sudo service apache2 reload


Config Settings

For running the MongoDb datastore two settings have to configured in your CKAN's configuration file::

ckan.datastore.write_url = mongodb://[datastorehost]:27017
ckan.querystore.url = [URL to your query store database]

Development Installation

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

git clone https://github.com/fwoerister/ckanext-mongodatastore.git
cd ckanext-mongodatastore
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.mongodatastore --cover-inclusive --cover-erase --cover-tests

Releasing a New Version of ckanext-mongodatastore

ckanext-mongodatastore is availabe on PyPI as https://pypi.python.org/pypi/ckanext-mongodatastore. 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
    

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