mirror of
https://github.com/ilri/dspace-statistics-api.git
synced 2024-06-29 09:33:47 +02:00
Alan Orth
2cab456f16
I was using two separate tables for item views and downloads without realizing that SQLite didn't support FULL OUTER JOIN, which would be needed to get views and downloads for a given item in a single query. Instead I can use one table with a default value of 0 for both views and downloads, and then use "UPSERT" to populate the statistics. This is a newish SQL concept that allows you to attempt an INSERT and then specify an action to perform in case of conflict. This works well in SQLite and actually simplifies my Python logic greatly! Note that the "excluded" table qualifier is a special keyword that allows you to reference the value that would have been inserted. See: https://www.sqlite.org/lang_UPSERT.html
136 lines
4.8 KiB
Python
Executable File
136 lines
4.8 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 SQLite 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_rw
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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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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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db.execute('''INSERT INTO items(id, views) VALUES(?, ?)
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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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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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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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db.execute('''INSERT INTO items(id, downloads) VALUES(?, ?)
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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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db = database_connection_rw()
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solr = solr_connection()
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# create table to store item views and downloads
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db.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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