/ckanext-recombinant

Create datastore tables for organizations and provide combined output

Primary LanguagePythonOtherNOASSERTION

CircleCI

ckanext-recombinant

This extension creates datasets and datastore tables for all organizations in a ckan instance and allows combining the data from all tables into CSVs for exporting.

This lets us use CKAN's authentication to restrict users to update only their organizations' tables but have all values available as a single dataset for our public site.

Recombinant provides template excel files for end users to bulk import or update data. It also provides a form to delete individual rows that have been imported.

Datasets and Recombinant Definitions

Recombinant Overview

Recombinant definitions control the behaviour of this extension. Dataset types are registered using an IDatasetForm plugin and must be unique across the CKAN instance.

Resource names are used to identify Excel sheets being imported and must be unique across the CKAN instance. Resource names are often the same as the dataset type when only a single resource is present in a definition.

The paster recombinant create command will create or update datasets for every organization to match the definition for its type, including updating fields, resources and creating or updating datastore table fields, primary keys and indexes.

Examples provided will be used to generate API documentation for end users.

Installation

Add this plugin to your CKAN configuration and link to your recombinant definition files:

ckan.plugins = datastore recombinant

recombinant.definitions = file:///.../type1.yaml ...

#   module-path:file name may also be used, e.g:
#
# recombinant.definitions = ckanext.atisummaries:ati.yaml
#
#   will try to load "ati.yaml" from the directory
#   containing the ckanext.atisummaries module

Supported Datastore Types

Each "fields" entry in the JSON table description file describes a field in the dataset. In particular, its "datastore_type" key codifies its type.

The ckanext-recombinant extension supports the following data type specifications, with their respective semantics:

"datastore_type": "text" The field is a text value, corresponding to a text column in the database. It takes no specific input format in the .xls template. Such fields default to a blank unicode string.

"datastore_type": "int" The field is a numeric value, corresponding to an integer column in the database. It takes a .xls template format using space-separated digit groups; the execution canonicalizes content to an integer on write. Such fields default to zero.

"datastore_type": "year" The field is a year value, corresponding to an integer column in the database. It takes a .xls template format citing a four digit integer; the execution canonicalizes content to an integer on write. Such fields default to zero.

"datastore_type": "month" The field is a month value, corresponding to an integer column in the database. It takes a .xls template format citing a two digit integer, left-zero-padded; the execution canonicalizes content to an integer on write. Such fields default to zero.

"datastore_type": "date" The field is a date value, corresponding to a text column in the database. It takes a .xls template format specifying an ISO 8601 date (yyyy-mm-dd). Such fields default to a blank unicode string.

"datastore_type": "money" The field is a text value, corresponding to a text column in the database. It takes a xls template template format specifying a dollar sign ('$') prefix and space- separated digit groups; the execution reduces content to an integral numeric string on write. Such fields default to a blank unicode string.