These CKAN Versions are exactely matched:

• 2.10.0
• 2.10.1
• 2.10.2
• 2.10.3
• 2.10.4
• 2.10.5
• 2.10.6
• 2.10.7
• 2.10.8
• 2.10.9
• 2.11.0
• 2.11.1
• 2.11.2
• 2.11.3
• 2.11.4
• 2.12.0
• 2.7.0
• 2.7.1
• 2.7.10
• 2.7.11
• 2.7.12
• 2.7.2
• 2.7.3
• 2.7.4
• 2.7.5
• 2.7.6
• 2.7.7
• 2.7.8
• 2.7.9
• 2.8.0
• 2.8.1
• 2.8.10
• 2.8.11
• 2.8.12
• 2.8.2
• 2.8.3
• 2.8.4
• 2.8.5
• 2.8.6
• 2.8.7
• 2.8.8
• 2.8.9
• 2.9.0
• 2.9.0a
• 2.9.1
• 2.9.10
• 2.9.11
• 2.9.13
• 2.9.2
• 2.9.3
• 2.9.4
• 2.9.5
• 2.9.6
• 2.9.7
• 2.9.8
• 2.9.9

ckanext-spc

CKAN repo for the Pacific Data Hub, an open data portal for datasets from the Pacific.

Requirements

• ckanext-scheming

Installation

To install ckanext-spc:

1. Activate your CKAN virtual environment: . /usr/lib/ckan/default/bin/activate
2. Install the ckanext-spc and its requirements: pip install ckanext-spc pip install -r dev-requirements.txt
3. Add spc to the ckan.plugins setting in your CKAN config file.
4. For the SpcNadaHarvester to work, install the nada_harvester branch of ckanext-ddi.
5. Update SOLR schema: xml <field name="topic" type="string" indexed="true" stored="true" multiValued="true"/>
6. Update DB schema: paster spc db-upgrade -c config.ini
7. Restart CKAN.

Config Settings

scheming.dataset_schemas = ckanext.spc.schemas:dataset.json

Development Installation

git clone https://github.com/DataShades/ckanext-spc.git
cd ckanext-spc
python setup.py develop
pip install -r dev-requirements.txt
paster spc db-upgrade -c config.ini

Template macros

This extension provides a new template macro nested_field for rendering fields in nested schemas.

Interactive widgets

Development server with examples: npm run dev-widgets Build widgets: npm run build-widgets

General Information

Harvesters

• OAI-PMH: spc_oaipmh_harvester (dataset type: publications)
• DKAN: spc_dkan_harvester (dataset type: dataset)
• GBIF: spc_gbif_harvester (dataset type: biodiversity_data)
• PRDR Publications: spc_prdr_publications_harvester (dataset type: publications)
• PRDR Data: spc_prdr_res_energy_harvester (dataset type: dataset)
• SPREP: spc_sprep_harvester (dataset type: dataset)

Dataset types

• Biodiversity data - EML schema
• Dataset - DCAT schema
• Geographic data - ANZLIC schema
• Publications - Dublin Core schema

Running the Tests

pytest --ckan-ini test.ini ckanext/spc

License

AGPL-3.0