mirror of
https://github.com/ilri/dspace-statistics-api.git
synced 2024-06-26 16:13:47 +02:00
Alan Orth
9e942736b1
It is much more efficient to cache view and download statistics in a database than to query Solr on demand (not to mention that it is not possible to page easily with facets in Solr). I decided to use SQLite because it is fast, native in Python 3, and doesn't require any extra steps during provisioning (assuming permissions are ok).
10 lines
301 B
Python
10 lines
301 B
Python
import os
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# Check if Solr connection information was provided in the environment
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SOLR_SERVER = os.environ.get('SOLR_SERVER', 'http://localhost:8080/solr')
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SOLR_CORE = os.environ.get('SOLR_CORE', 'statistics')
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SQLITE_DB = os.environ.get('SQLITE_DB', 'statistics.db')
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# vim: set sw=4 ts=4 expandtab:
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