• Extract BrAPI endpoint.
• Transform extracted data (into Elasticsearch bulk json, into JSON-LD, into RDF)
• Load JSON into Elasticsearch or RDF into a virtuoso

You can find a binary distribution of the ETL package in dist/plant-brapi-etl-data-lookup-gnpis.tar.gz.

First you will need to extract the archive:

$ tar xzf plant-brapi-etl-data-lookup-gnpis.tar.gz

And then you can simply call the main program:

$ ./etl/main

Requirements:

• Python version 3.6.x
• Python dependencies (pip install -r requirements.txt)

The main.py script can be used to launch the full BrAPI to elasticsearch or BrAPI to virtuoso ETL. To get the usage help run the following command:

$ python3 main.py

The configurations for the ETL process is defined in the ./config folder.

The BrAPI data source are described in the ./sources folder in JSON-LD format using the schema.org vocabulary. You can add data sources in this folder using one of the other data source as an example.

Here is an example of data source description:

{
  "@context": {
    "schema": "http://schema.org/",
    "brapi": "https://brapi.org/rdf/"
  },
  "@type": "schema:DataCatalog",
  "@id": "http://pippa.psb.ugent.be",
  "schema:identifier": "VIB",
  "schema:name": "VIB PIPPA",
  "brapi:endpointUrl": "https://pippa.psb.ugent.be/pippa_experiments/brapi/v1/"
} 

The @id field contains the URI identifying the data source (we use the URL of the official web site for convinience), the schema:identifier contains a short identifier for this data source, the schema:name contains the display name and brapi:endpoint contains the URL of the BrAPI endpoint.

The BrAPI endpoint must implement the required calls (also listed in ./config/extract-brapi.json):

• /brapi/v1/studies-search (in GET or POST)
• /brapi/v1/studies/{id}
• /brapi/v1/studies/{id}/germplasm

See README-elasticsearch.md for specific details on BrAPI to elasticsearch ETL.

See README-virtuoso.md for specific details on BrAPI to virtuoso ETL.