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A simple REST API to expose Solr view and download statistics for items in a DSpace repository.
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contrib/dspace-statistics-indexer.timer: Fix syntax
You can test OnCalendar strings using systemd-analyze calendar, eg:

    # systemd-analyze calendar '*-*-* 06:00:00,18:00:00'
    Failed to parse calendar specification '*-*-* 06:00:00,18:00:00':
    Invalid argument
    # systemd-analyze calendar '*-*-* 06,18:00:00'
    Normalized form: *-*-* 06,18:00:00
        Next elapse: Wed 2018-09-26 06:00:00 EEST
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contrib contrib/dspace-statistics-indexer.timer: Fix syntax 2018-09-25 23:07:03 +03:00
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requirements.txt requirements.txt: Use kazoo 2.5.0 2018-09-25 12:08:28 +03:00
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DSpace Statistics API

A quick and dirty REST API to expose Solr view and download statistics for items in a DSpace repository.

Written and tested in Python 3.5, 3.6, and 3.7. Requires PostgreSQL version 9.5 or greater for UPSERT support.

Installation

Create a virtual environment and run it:

$ python -m venv venv
$ . venv/bin/activate
$ pip install -r requirements.txt
$ gunicorn app:api

Using the API

The API exposes the following endpoints:

  • GET /itemsreturn views and downloads for all items that Solr knows about¹. Accepts limit and page query parameters for pagination of results.
  • GET /item/idreturn 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 up DB connection when gunicorn shuts down gracefully
  • Better logging
  • Tests

License

This work is licensed under the GPLv3.