mirror of
https://github.com/ilri/dspace-statistics-api.git
synced 2024-06-29 09:33:47 +02:00
Alan Orth
3327884f21
I've decided to use PostgreSQL instead of SQLite because the UPSERT support is available in versions of PostgreSQL we're alread running, whereas SQLite needs a VERY new (3.24.0) version that is not avail- able on any recent long-term support Ubuntu releases.
145 lines
4.9 KiB
Python
Executable File
145 lines
4.9 KiB
Python
Executable File
#!/usr/bin/env python
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#
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# indexer.py
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#
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# Copyright 2018 Alan Orth.
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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#
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# ---
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#
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# Connects to a DSpace Solr statistics core and ingests item views and downloads
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# into a Postgres database for use with other applications (an API, for example).
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#
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# This script is written for Python 3 and requires several modules that you can
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# install with pip (I recommend setting up a Python virtual environment first):
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#
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# $ pip install SolrClient
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#
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# See: https://solrclient.readthedocs.io/en/latest/SolrClient.html
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# See: https://wiki.duraspace.org/display/DSPACE/Solr
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#
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# Tested with Python 3.5 and 3.6.
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from database import database_connection
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from solr import solr_connection
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def index_views():
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print("Populating database with item views.")
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# determine the total number of items with views (aka Solr's numFound)
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res = solr.query('statistics', {
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'q':'type:2',
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'fq':'isBot:false AND statistics_type:view',
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'facet':True,
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'facet.field':'id',
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}, rows=0)
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# divide results into "pages" (numFound / 100)
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results_numFound = res.get_num_found()
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results_per_page = 100
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results_num_pages = round(results_numFound / results_per_page)
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results_current_page = 0
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cursor = db.cursor()
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while results_current_page <= results_num_pages:
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print('Page {0} of {1}.'.format(results_current_page, results_num_pages))
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res = solr.query('statistics', {
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'q':'type:2',
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'fq':'isBot:false AND statistics_type:view',
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'facet':True,
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'facet.field':'id',
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'facet.limit':results_per_page,
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'facet.offset':results_current_page * results_per_page
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})
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# make sure total number of results > 0
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if res.get_num_found() > 0:
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# SolrClient's get_facets() returns a dict of dicts
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views = res.get_facets()
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# in this case iterate over the 'id' dict and get the item ids and views
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for item_id, item_views in views['id'].items():
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cursor.execute('''INSERT INTO items(id, views) VALUES(%s, %s)
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ON CONFLICT(id) DO UPDATE SET downloads=excluded.views''',
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(item_id, item_views))
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db.commit()
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results_current_page += 1
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cursor.close()
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def index_downloads():
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print("Populating database with item downloads.")
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# determine the total number of items with downloads (aka Solr's numFound)
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res = solr.query('statistics', {
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'q':'type:0',
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'fq':'isBot:false AND statistics_type:view AND bundleName:ORIGINAL',
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'facet':True,
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'facet.field':'owningItem',
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}, rows=0)
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# divide results into "pages" (numFound / 100)
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results_numFound = res.get_num_found()
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results_per_page = 100
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results_num_pages = round(results_numFound / results_per_page)
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results_current_page = 0
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cursor = db.cursor()
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while results_current_page <= results_num_pages:
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print('Page {0} of {1}.'.format(results_current_page, results_num_pages))
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res = solr.query('statistics', {
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'q':'type:0',
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'fq':'isBot:false AND statistics_type:view AND bundleName:ORIGINAL',
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'facet':True,
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'facet.field':'owningItem',
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'facet.limit':results_per_page,
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'facet.offset':results_current_page * results_per_page
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})
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# make sure total number of results > 0
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if res.get_num_found() > 0:
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# SolrClient's get_facets() returns a dict of dicts
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downloads = res.get_facets()
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# in this case iterate over the 'owningItem' dict and get the item ids and downloads
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for item_id, item_downloads in downloads['owningItem'].items():
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cursor.execute('''INSERT INTO items(id, downloads) VALUES(%s, %s)
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ON CONFLICT(id) DO UPDATE SET downloads=excluded.downloads''',
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(item_id, item_downloads))
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db.commit()
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results_current_page += 1
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cursor.close()
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db = database_connection()
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solr = solr_connection()
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# create table to store item views and downloads
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cursor = db.cursor()
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cursor.execute('''CREATE TABLE IF NOT EXISTS items
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(id INT PRIMARY KEY, views INT DEFAULT 0, downloads INT DEFAULT 0)''')
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index_views()
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index_downloads()
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db.close()
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# vim: set sw=4 ts=4 expandtab:
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