dspace-statistics-api/config.py

import os

# Check if Solr connection information was provided in the environment
SOLR_SERVER = os.environ.get('SOLR_SERVER', 'http://localhost:8080/solr')
SOLR_CORE = os.environ.get('SOLR_CORE', 'statistics')

SQLITE_DB = os.environ.get('SQLITE_DB', 'statistics.db')

# vim: set sw=4 ts=4 expandtab:
Refactor configuration into separate module There is a good example of this in the Project Weekend GitHub profile. See: https://github.com/projectweekend/Falcon-PostgreSQL-API-Seed 2018-09-18 16:59:28 +03:00			`import os`

			`# Check if Solr connection information was provided in the environment`
			`SOLR_SERVER = os.environ.get('SOLR_SERVER', 'http://localhost:8080/solr')`
			`SOLR_CORE = os.environ.get('SOLR_CORE', 'statistics')`
Add vim modeline to all Python files Uses four spaces for tab and shift widths, and turns on expansion of tabs to spaces. 2018-09-23 11:33:26 +03:00
app.py: Get item statistics from SQLite database 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). 2018-09-23 16:47:00 +03:00			`SQLITE_DB = os.environ.get('SQLITE_DB', 'statistics.db')`

Add vim modeline to all Python files Uses four spaces for tab and shift widths, and turns on expansion of tabs to spaces. 2018-09-23 11:33:26 +03:00			`# vim: set sw=4 ts=4 expandtab:`