DSpace Statistics API

A simple REST API to expose Solr view and download statistics for items in a DSpace repository. This project contains a standalone indexing component and a WSGI application.

Requirements

Python 3.5+
PostgreSQL version 9.5+ (due to UPSERT support)
DSpace 4+ with Solr usage statistics enabled

Installation and Testing

Create a Python virtual environment and install the dependencies:

$ python -m venv venv
$ . venv/bin/activate
$ pip install -r requirements.txt

Set up the environment variables for Solr and PostgreSQL:

$ export SOLR_SERVER=http://localhost:8080/solr
$ export DATABASE_NAME=dspacestatistics
$ export DATABASE_USER=dspacestatistics
$ export DATABASE_PASS=dspacestatistics
$ export DATABASE_HOST=localhost

Index the Solr statistics core to populate the PostgreSQL database:

$ ./indexer.py

Run the REST API:

$ gunicorn app:api

Test to see if there are any statistics:

$ curl 'http://localhost:8000/items?limit=1'

Deployment

There are example systemd service and timer units in the contrib directory.

Using the API

The API exposes the following endpoints:

GET /items — return views and downloads for all items that Solr knows about¹. Accepts limit and page query parameters for pagination of results.
GET /item/id — return views and downloads for a single item (id must be a positive integer). Returns HTTP 404 if an item id is not found.

¹ We are querying the Solr statistics core, which technically only knows about items that have either views or downloads.

Todo

Add API documentation
Close DB connection when gunicorn shuts down gracefully
Better logging
Tests
Check if database exists (try/except)
Version API
Use JSON in PostgreSQL
Switch to Python 3.6+ f-string syntax

License

This work is licensed under the GPLv3.

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